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Diabetes mellitus type 2

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Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Seyedmahdi Pahlavani, M.D. [2],Tarek Nafee, M.D. [3], Anahita Deylamsalehi, M.D.[4]

Synonyms and keywords::DM, Diabetes, NIDDM

Overview

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Seyedmahdi Pahlavani, M.D. [2],Tarek Nafee, M.D. [3],Basir Gill, M.B.B.S, M.D.[4]

Overview

Diabetes mellitus type 2 (T2DM) (formerly called non insulin-dependent diabetes (NIDDM), obesity related diabetes, or adult-onset diabetes) is a metabolic disorder that is primarily characterized by insulin resistance, relative insulin deficiency, and hyperglycemia. The defective responsiveness of body tissues to insulin almost certainly involves the insulin receptor in cell membranes. In the early stage the predominant abnormality is reduced insulin sensitivity, characterized by elevated levels of insulin in the blood. At this stage hyperglycemia can be managed by engaging in exercise, modifying one’s diet and medications that improve insulin sensitivity or reduce glucose production by the liver. As the disease progresses the impairment of insulin secretion worsens, and therapeutic replacement of insulin often becomes necessary. It is rapidly increasing in the developed world, and there is some evidence that this pattern will be followed in much of the rest of the world in coming years. The CDC has characterized the increase as an epidemic.

Historical Perspective

Diabetes mellitus is a well-recognized disease from ancient times. In 1812 diabetes mellitus became a recognized clinical entity in The New England Journal of Medicine and Surgery. In 1889, the pancreas was identified as playing a major role in the pathogenesis of the disease. The discovery of insulin in 1921 was a major turning point in the history of diabetes when Frederick Banting and Charles Best were able to reverse the diabetic state in dogs by injecting the pancreatic isolate from healthy dogs.

Classification

Type 2 diabetes doesn’t have any specific classification. Although diabetes mellitus is classified in to 3 main categories:

Pathophysiology

T2DM develops from a combination of insulin resistance and progressive ÎČ‑cell dysfunction. Contrary to T1DM, patients with T2DM sufficiently produce insulin; however, cellular response to the circulating insulin is diminished. The mechanism by which the insulin resistance develops is postulated to be influenced by both genetic and environmental factors. Contributing mechanisms include increased hepatic glucose production, impaired incretin response, elevated renal glucose reabsorption, reduced insulin-mediated glucose uptake in muscle/adipose tissue, and dysregulated glucagon secretion. Over 600 genetic variants are associated with T2DM risk, although lifestyle factors remain dominant. Environmental influences on the pathogenesis of T2DM include high glycemic diets, central obesity, older age, male gender, low-fiber diet, and high saturated fat diet.


Causes

The underlying cause of T2DM is insulin resistance. The exact cause of insulin resistance is not known, however several theories exist. Central obesity, aging, and high glycemic diets are most commonly implicated in the development of T2DM.

Differentiating Diabetes mellitus type 2 from other Diseases

T2DM must be differentiated from other disorders that can present with polyuria, polydipsia, weight change, or hyperglycemia. These include other forms of diabetes mellitus such as type 1 diabetes, latent autoimmune diabetes in adults (LADA), and monogenic diabetes (MODY)—as well as secondary causes like pancreatic disease and endocrine disorders including hypothyroidism, Cushing syndrome, Wolfram syndrome, and Alström syndrome. Several medications, particularly glucocorticoids and immunotherapies, may also induce hyperglycemia. Distinguishing these conditions relies on careful clinical evaluation alongside targeted testing: autoantibodies (GAD, IA-2, ZnT8) help identify autoimmune forms, while C-peptide levels assess endogenous insulin production. MODY should be considered in lean young adults with a strong autosomal dominant family history.

T2DM must be differentiated from other disorders that may present with polyuria, polydipsia, weight loss or weight gain. Such disorders may include other forms of diabetes mellitus (e.g.T1DM, MODY) or other endocrine disorders (e.g. hypothyroidism, cushing’s syndrome, wolfram syndrome, alstrom syndrome) or drug that can cause hyperglycemia (e.g. glucocorticoids)

Epidemiology and Demographics

Type 2 diabetes mellitus T2DM (DM) is a chronic metabolic disease, accounting for 90–95% of all diabetes cases. Although its prevalence is well studied in the United States and other developed nations, global estimates from 2022–2024 indicate that between 589 and 828 million adults are living with diabetes worldwide, with an overall prevalence of 11–14% of adults. Despite this burden, substantial variation exists across developing countries, particularly in rural regions with limited access to healthcare, where an estimated 50% of adults with diabetes remain undiagnosed. In the United States, T2DM affects roughly 1 in 6 adults and disproportionately affects individuals with overweight/obesity, physical inactivity, older age, family history of diabetes, history of gestational diabetes, and certain ethnic groups, including Hispanic/Latino, Asian, Black, and American Indian populations. Prevalence increases sharply after age 65, though childhood-onset T2DM is rising. Interestingly, the prevalence of type 2 diabetes is 39.2%among patients with kidney failure. Globally, men are more commonly affected than women, and low- to middle-income countries carry the highest burden. The continued rise in T2DM parallels rapid urbanization and lifestyle transitions, underscoring its designation as a global epidemic.

Risk Factors

Common risk factors associated with development of T2DM include: positive family history, certain ethnicity, obesity, smoking, physical inactivity, poor dietary habits, certain drugs (.eg. glucocorticoids) and certain medical conditions that may result in weight gain and inactivity.

Screening

Diabetes screening is recommended for many people at various stages of life, and for those with any of several risk factors. Screening tests are the same tests used for diagnosis. Early diagnosis and treatment can control the complications and result in better clinical outcomes.

Criteria for testing for diabetes or prediabetes in asymptomatic adults
Testing should be considered in overweight or obese (BMI ≄25 kg/m2 or ≄23 kg/m2 in Asian Americans) adults who have one or more of the following risk factors:
For all patients, testing should begin at age 35 years.
If results are normal, testing should be repeated at a minimum of 3-year intervals, with consideration of more frequent testing depending on initial results (e.g., those with

prediabetes should be tested yearly) and risk status.

Natural History, Complications and Prognosis

If T2DM left untreated, it may result in hyperosmolar hyperglycemic state (HHS) and in rare circumstances diabetic ketoacidosis (DKA). These are classified as acute complications of diabetes. Chronic complications of diabetes mellitus include microvascular (retinopathy, nephropathy, neuropathy) and macrovascular (myocardial infarction, stroke, cardiovascular death) complications. Updated estimates show that 32% of individuals with T2DM have existing cardiovascular disease. Diabetes is a leading cause of kidney failure, blindness, nontraumatic amputations, and increased mortality. Additional associations include metabolic dysfunction–associated steatotic liver disease (MASLD), colorectal and breast cancers, and dementia. Early diagnosis and prompt treatment of these complications may result in improved prognosis and less long term morbidity and mortalities.

Diagnosis

History and Symptoms

A detailed history must be taken from every person presenting with diabetes symptoms. Classic symptoms of diabetes include: weight loss, polyphagia, polydipsia and polyuria. Less common symptoms include vision changes, tingling or numbness in exterimities, fatigue and skin changes.

Physical Examination

Usually patients with T2DM have normal physical examination findings unless complications develop in these patients. Common physical examination findings include, pigmented skin patches and acanthosis nigricans.

Laboratory Findings

Laboratory findings of T2DM are diagnostic for this disease. Diabetes may be diagnosed based on plasma glucose criteria, either the fasting plasma glucose (FPG) or the 2-hours plasma glucose (2-h PG) value after a 75-g oral glucose tolerance test (OGTT) or A1C criteria. A1c remains the preferred test for most adults, but clinicians should recognize its limitations in conditions such as anemia, hemoglobinopathies, pregnancy, transfusion, dialysis, or altered red cell turnover.

Criteria for the diagnosis of diabetes
FPG ≄126 mg/dL (7.0 mmol/L). Fasting is defined as no caloric intake for at least 8 hours.
OR
2-hours Plasma Glucose (PG) ≄200 mg/dL (11.1 mmol/L) during an OGTT. The test should be performed as described

by the WHO, using a glucose load containing the equivalent of 75 g anhydrous glucose dissolved in water.

OR
A1C ≄6.5% (48 mmol/mol).
OR
In a patient with classic symptoms of hyperglycemia or hyperglycemic crisis, a random plasma glucose ≄200 mg/dL (11.1 mmol/L).

Treatment

Lifestyle modification is fundamental for diabetes management and it’s a part of therapy. It includes, diabetes self-management education (DSME), diabetes self-management support (DSMS), nutrition therapy, physical activity, smoking cessation counseling, and psychosocial care. Randomized clinical trials have reported absolute reductions in microvascular disease (3.5%), such as retinopathy and nephropathy, myocardial infarction (3.3%-6.2%), and mortality (2.7%-4.9%), with intensive glucose-lowering strategies (hemoglobin A1C <7%) vs conventional treatment 2 decades after trial completion. The overall objectives of DSME and DSMS are to support informed decision making, self-care behaviors, problem solving, and active collaboration with the health care team to improve clinical outcomes, health status, and quality of life in a cost-effective manner.

Glucose Monitoring

Self‑monitoring of blood glucose (SMBG) provides modest benefit in non‑insulin‑treated T2DM but remains essential for individuals on insulin. Continuous glucose monitoring (CGM) improves HbA1c, reduces hypoglycemia, and increases time‑in‑range. Adults with T2DM on basal‑bolus insulin should be offered CGM. Time‑in‑range goal: >70% between 70–180 mg/dL.

Lifestyle Therapy

Lifestyle modification remains foundational. Clinically meaningful HbA1c reductions occur with Mediterranean, DASH, and low‑carbohydrate dietary patterns. Structured medical nutrition therapy and diabetes self‑management education improve glycemic control. Physical activity targets include ≄150 minutes/week of moderate intensity activity, with evidence showing 0.4–1.0% HbA1c reduction and improves cardiovascular risk factors (i.e., hypertension and dyslipidemia). Weight loss of ≄5–10% improves glycemia, and intensive weight‑loss interventions can induce diabetes remission in select patients.

Medical Therapy

The main goals of treatment are, eliminate hyperglycemic symptoms, control the long term complications and improve the patient’s quality of life. T2DM is initially treated by lifestyle modification and weight loss, especially in obese patients. Metformin is the first line pharmacologic therapy prescribed once the diagnosis is confirmed unless contraindications exist. If glycemic goals are not achieved, a second agent must be added to metformin. A wide range of options are available to add as combination therapy based on the patient’s condition and comorbidities. DPP‑4 inhibitors, sulfonylureas, and thiazolidinediones remain options but lack cardiorenal benefits and carry class‑specific risks.


Metformin monotherapy is recommended unless there is a contraindication to it. In the following conditions, dual therapy is initiated:

High‑potency GLP‑1RA and dual GIP/GLP‑1 agonists (e.g., semaglutide, tirzepatide) achieve A1c reductions up to ~2.5% and weight loss >5–10%. Large, randomized trials show SGLT2 inhibitors reduce major adverse cardiovascular events (MACE) by ~10%, heart failure hospitalization by 18–25%, and kidney disease progression by 24–39%. GLP‑1 receptor agonists reduce MACE by 12–26% and promote significant weight loss. These benefits support a comorbidity driven instead of purely HbA1c‑driven therapeutic approach.

Surgery

Pancreas and islet cell transplantation is considered in patients with chronic diabetes who have frequent metabolic complications and are intolerant to exogenous insulin or have failed insulin therapy.

Primary Prevention

Life style modification is the mainstay for diabetes mellitus prevention. Metformin is another adjunctive measure to prevent diabetes in high risk persons. Studies have shown that 7% weight loss within a duration of 6 months in obese individuals is effective for diabetes prevention.

Secondary Prevention

The most important secondary prevention strategy in T2DM is to decrease the macrovascular complications. Lipid control, smoking cessation and treatment of hypertension are the most important secondary preventive measures.

References

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Historical Perspective

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Dima Nimri, M.D. [2]; Tarek Nafee, M.D. [3],Seyedmahdi Pahlavani, M.D. [4]

Overview

Diabetes mellitus is a well-recognized disease from ancient times. In 1812 diabetes mellitus became a recognized clinical entity in The New England Journal of Medicine and Surgery. In 1889, the pancreas was identified as playing a major role in the pathogenesis of the disease. The discovery of insulin in 1921 was a major turning point in the history of diabetes when Frederick Banting and Charles Best were able to reverse the diabetic state in dogs by injecting the pancreatic isolate from healthy dogs.

Historical Perspective

Diabetes mellitus is a well-recognized disease from ancient times, but the major advancement in the disease was the isolation of insulin and its use in treatment. The historical perspective of diabetes mellitus can be summarized in the following points:[1]

References

  1. ↑ Polonsky KS (2012). “The past 200 years in diabetes”. N. Engl. J. Med. 367 (14): 1332–40. doi:10.1056/NEJMra1110560. PMID 23034021.

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Pathophysiology

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Priyamvada Singh, M.B.B.S. [2]; Cafer Zorkun, M.D., Ph.D. [3],Seyedmahdi Pahlavani, M.D. [4]Anahita Deylamsalehi, M.D.[5]

Overview

The exact pathophysiology of type 2 diabetes mellitus is not fully understood. The underlying pathology is the development of insulin resistance. Contrary to type 1 diabetes, patients with type 2 diabetes sufficiently produce insulin. However, the cellular response to the circulating insulin is diminished in type 2 DM. The mechanism by which the insulin resistance develops is postulated to be influenced by both genetic and environmental factors. Environmental influences on the pathogenesis of type 2 DM include high glycemic diets, central obesity, older age, male gender, low-fiber diet, and highly saturated fat diet.There are some genetic variants and HLA related to type 2 diabetes mellitus. Diabetes type 2 is associated with metabolic disorders, sarcopenia and liver cancer. It also has some associated features with insulin resistance. Gross pathology of pancreas shows serrated borders and reduced volume, which is due to pancreatic cells necrosis. Amyloid deposition, inflammation and fibrosis are some of the microscopic changes in diabetic pancreas.

Pathophysiology

Pathogenesis

Beta-cell function

  • Some carbohydrates are not converted e.g fruit sugar (fructose) is usable as cellular fuel but it is not converted to glucose, and it therefore does not participate in the insulin/glucose metabolic regulatory mechanism.
  • Insulin is used by about two-thirds of the body’s cells to absorb glucose from the blood for use as fuel, for conversion to other needed molecules, or for storage.
  • If the amount of insulin available is insufficient, if cells respond poorly to the effects of insulin (insulin insensitivity or resistance), or if the insulin itself is defective, then glucose will not be absorbed properly by those body cells that require it nor will it be stored appropriately in the liver and muscles. The net effect is persistent high levels of blood glucose, poor protein synthesis, and other metabolic derangement, such as acidosis.
Mechanism of insulin release in normal pancreatic beta cells
Mechanism of insulin release in normal pancreatic beta cells

Inflammation and Diabetes

Systemic Inflammation in Diabetes

Genetics

Associated Conditions

Gross Pathology

Microscopic Pathology

References

  1. ↑ Montonen, J.; Knekt, P.; Jarvinen, R.; Reunanen, A. (2004). “Dietary Antioxidant Intake and Risk of Type 2 Diabetes”. Diabetes Care. 27 (2): 362–366. doi:10.2337/diacare.27.2.362. ISSN 0149-5992.
  2. ↑ van der Schaft, Niels; Schoufour, Josje D.; Nano, Jana; Kiefte-de Jong, Jessica C.; Muka, Taulant; Sijbrands, Eric J. G.; Ikram, M. Arfan; Franco, Oscar H.; Voortman, Trudy (2019). “Dietary antioxidant capacity and risk of type 2 diabetes mellitus, prediabetes and insulin resistance: the Rotterdam Study”. European Journal of Epidemiology. 34 (9): 853–861. doi:10.1007/s10654-019-00548-9. ISSN 0393-2990.
  3. ↑ Kaneto, H.; Kajimoto, Y.; Miyagawa, J.; Matsuoka, T.; Fujitani, Y.; Umayahara, Y.; Hanafusa, T.; Matsuzawa, Y.; Yamasaki, Y.; Hori, M. (1999). “Beneficial effects of antioxidants in diabetes: possible protection of pancreatic beta-cells against glucose toxicity”. Diabetes. 48 (12): 2398–2406. doi:10.2337/diabetes.48.12.2398. ISSN 0012-1797.
  4. ↑ 4.0 4.1 Xu H, Barnes GT, Yang Q, Tan G, Yang D, Chou CJ; et al. (2003). “Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance”. J Clin Invest. 112 (12): 1821–30. doi:10.1172/JCI19451. PMC 296998. PMID 14679177.
  5. ↑ 5.0 5.1 5.2 Calle MC, Fernandez ML (2012). “Inflammation and type 2 diabetes”. Diabetes Metab. 38 (3): 183–91. doi:10.1016/j.diabet.2011.11.006. PMID 22252015.
  6. ↑ Hotamisligil GS, Shargill NS, Spiegelman BM (1993). “Adipose expression of tumor necrosis factor-alpha: direct role in obesity-linked insulin resistance”. Science. 259 (5091): 87–91. PMID 7678183.
  7. ↑ Rolff J, Siva-Jothy MT (2003). “Invertebrate ecological immunology”. Science. 301 (5632): 472–5. doi:10.1126/science.1080623. PMID 12881560.
  8. ↑ 8.0 8.1 Berg AH, Scherer PE (2005). “Adipose tissue, inflammation, and cardiovascular disease”. Circ Res. 96 (9): 939–49. doi:10.1161/01.RES.0000163635.62927.34. PMID 15890981.
  9. ↑ Trayhurn P, Wood IS (2004). “Adipokines: inflammation and the pleiotropic role of white adipose tissue”. Br J Nutr. 92 (3): 347–55. PMID 15469638.
  10. ↑ Lyssenko, Valeriya; Jonsson, Anna; Almgren, Peter; Pulizzi, NicolĂł; Isomaa, Bo; Tuomi, Tiinamaija; Berglund, Göran; Altshuler, David; Nilsson, Peter; Groop, Leif (2008). “Clinical Risk Factors, DNA Variants, and the Development of Type 2 Diabetes”. New England Journal of Medicine. 359 (21): 2220–2232. doi:10.1056/NEJMoa0801869. ISSN 0028-4793.
  11. ↑ Lyssenko, Valeriya; Jonsson, Anna; Almgren, Peter; Pulizzi, NicolĂł; Isomaa, Bo; Tuomi, Tiinamaija; Berglund, Göran; Altshuler, David; Nilsson, Peter; Groop, Leif (2008). “Clinical Risk Factors, DNA Variants, and the Development of Type 2 Diabetes”. New England Journal of Medicine. 359 (21): 2220–2232. doi:10.1056/NEJMoa0801869. ISSN 0028-4793.
  12. ↑ Das SK, Elbein SC (2006). “The Genetic Basis of Type 2 Diabetes”. Cellscience. 2 (4): 100–131. doi:10.1901/jaba.2006.2-100. PMC 1526773. PMID 16892160.
  13. ↑ Tuomi, T. (2005). “Type 1 and Type 2 Diabetes: What Do They Have in Common?”. Diabetes. 54 (Supplement 2): S40–S45. doi:10.2337/diabetes.54.suppl_2.S40. ISSN 0012-1797.
  14. ↑ Meigs JB, Dupuis J, Herbert AG, Liu C, Wilson PW, Cupples LA (2005). “The insulin gene variable number tandem repeat and risk of type 2 diabetes in a population-based sample of families and unrelated men and women”. J Clin Endocrinol Metab. 90 (2): 1137–43. doi:10.1210/jc.2004-1212. PMID 15562019.
  15. ↑ Tuomi, T. (2005). “Type 1 and Type 2 Diabetes: What Do They Have in Common?”. Diabetes. 54 (Supplement 2): S40–S45. doi:10.2337/diabetes.54.suppl_2.S40. ISSN 0012-1797.
  16. ↑ Younossi, Zobair M.; Golabi, Pegah; de Avila, Leyla; Paik, James Minhui; Srishord, Manirath; Fukui, Natsu; Qiu, Ying; Burns, Leah; Afendy, Arian; Nader, Fatema (2019). “The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: A systematic review and meta-analysis”. Journal of Hepatology. 71 (4): 793–801. doi:10.1016/j.jhep.2019.06.021. ISSN 0168-8278.
  17. ↑ Jack, L., Jr., Boseman, L. & Vinicor, F. Aging Americans and diabetes. A public health and clinical response. Geriatrics 2004, 59, 14-17.
  18. ↑ Lovejoy, J. C. The influence of dietary fat on insulin resistance. Curr Diab Rep 2002, 2,435-440.
  19. ↑ Hu, F. B. Sedentary lifestyle and risk of obesity and type 2 diabetes. Lipids 2003, 38,103-108.
  20. ↑ Mesinovic J, Zengin A, De Courten B, Ebeling PR, Scott D (2019). “Sarcopenia and type 2 diabetes mellitus: a bidirectional relationship”. Diabetes Metab Syndr Obes. 12: 1057–1072. doi:10.2147/DMSO.S186600. PMC 6630094 Check |pmc= value (help). PMID 31372016.
  21. ↑ Ge, Xiao-Jun; Du, Yu-Xuan; Zheng, Li-Mei; Wang, Mei; Jiang, Jun-Yao (2020). “Mortality trends of liver cancer among patients with type 2 diabetes at the global and national level”. Journal of Diabetes and its Complications. 34 (8): 107612. doi:10.1016/j.jdiacomp.2020.107612. ISSN 1056-8727.
  22. ↑ Wu, Yingjie; Zhou, An; Tang, Li; Lei, Yuanyuan; Tang, Bo; Zhang, Linjing (2020). “Bile Acids: Key Regulators and Novel Treatment Targets for Type 2 Diabetes”. Journal of Diabetes Research. 2020: 1–11. doi:10.1155/2020/6138438. ISSN 2314-6745.
  23. ↑ Macauley M, Percival K, Thelwall PE, Hollingsworth KG, Taylor R (2015). “Altered volume, morphology and composition of the pancreas in type 2 diabetes”. PLoS One. 10 (5): e0126825. doi:10.1371/journal.pone.0126825. PMC 4423920. PMID 25950180.
  24. ↑ Macauley M, Percival K, Thelwall PE, Hollingsworth KG, Taylor R (2015). “Altered volume, morphology and composition of the pancreas in type 2 diabetes”. PLoS One. 10 (5): e0126825. doi:10.1371/journal.pone.0126825. PMC 4423920. PMID 25950180.
  25. ↑ Donath, M. Y.; Schumann, D. M.; Faulenbach, M.; Ellingsgaard, H.; Perren, A.; Ehses, J. A. (2008). “Islet Inflammation in Type 2 Diabetes: From metabolic stress to therapy”. Diabetes Care. 31 (Supplement 2): S161–S164. doi:10.2337/dc08-s243. ISSN 0149-5992.
  26. ↑ Tomova, Irina; Stoyanov, George S; Dzhenkov, Deyan L; Petkova, Lilyana (2020). “Late Pathomorphological Features of the Endocrine Pancreas in Patients With Type 2 Diabetes Mellitus”. Cureus. doi:10.7759/cureus.8777. ISSN 2168-8184.


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Causes

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1];Associate Editor(s)-in-Chief: Seyedmahdi Pahlavani, M.D. [2]

Overview

The underlying cause of type 2 diabetes is insulin resistance. The exact cause of insulin resistance is not known, however several theories exist. There is often an interplay of multiple risk factors coupled with the effect of environmental factors in a genetically susceptible person, which results in hyperglycemia and insulin resistance. Central obesity, aging, sedentary life style, high glycemic diets and some medications are most commonly implicated in the development of type 2 diabetes.

Causes

Common Causes

Common causes of diabetes mellitus type 2 may include:[2][3]

Less Common Causes

References

  1. ↑ Salinero-Fort MA, San AndrĂ©s-Rebollo FJ, GĂłmez-Campelo P, de Burgos-Lunar C, CĂĄrdenas-Valladolid J, AbĂĄnades-Herranz JC, Otero-Puime A, JimĂ©nez-GarcĂ­a R, LĂłpez-de-AndrĂ©s A, de Miguel-Yanes JM (2017). “Body mass index and all-cause mortality among type 2 diabetes mellitus patients: Findings from the 5-year follow-up of the MADIABETES cohort”. Eur. J. Intern. Med. doi:10.1016/j.ejim.2017.06.021. PMID 28679485.
  2. ↑ Eberhart, MS (November 19, 2004). “Prevalence of Overweight and Obesity Among Adults with Diagnosed Diabetes — United States, 1988–1994 and 1999–2002”. Morbidity and Mortality Weekly Report. Centers for Disease Control and Prevention. 53 (45): 1066–1068. Retrieved 2007-03-11. Unknown parameter |coauthors= ignored (help)
  3. ↑ Centers for Disease Control and Prevention (CDC) (2004). “Prevalence of overweight and obesity among adults with diagnosed diabetes–United States, 1988-1994 and 1999-2002”. MMWR Morb Mortal Wkly Rep. 53 (45): 1066–8. PMID 15549021.
  4. ↑ Jack, L., Jr., Boseman, L. & Vinicor, F. Aging Americans and diabetes. A public health and clinical response. Geriatrics 2004, 59, 14-17.


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Differentiating Diabetes Mellitus Type 2 from other Diseases

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1];Associate Editor(s)-in-Chief: Seyedmahdi Pahlavani, M.D. [2]Basir Gill, M.B.B.S, M.D.[3]

Overview

Type 2 diabetes mellitus must be differentiated from other disorders that may present with polyuria, polydipsia, weight loss or weight gain. Such disorders may include other forms of diabetes mellitus (e.g. type 1 DM, MODY), other endocrine disorders (e.g. hypothyroidism, cushing’s syndrome, wolfram syndrome, alstrom syndrome) or drug-related disorders.

Differentiating Diabetes Mellitus Type 2 from other Diseases

Disease History and symptoms Laboratory findings Additional findings
Polyuria Polydipsia Polyphagia Weight loss Weight gain Serum glucose Urinary Glucose Urine PH Serum Sodium Urinary Glucose 24 hrs cortisol level C-peptide level Serum glucagon
Type 1 Diabetes mellitus + + + + ↑ ↑ Normal Normal N/↑ Normal ↓ Normal Auto-antibodies present (Anti GAD-65 and anti insulin antibodies)
Type 2 Diabetes mellitus + + + + ↑ ↑ Normal Normal ↑ Normal Normal ↑ Acanthosis nigricans
MODY + + + + ↑ ↑ Normal Normal ↑ Normal Normal N
Psychogenic polydipsia + + Normal Normal Normal ↓ Normal Normal Normal Normal
Diabetes insipidus + + Normal Normal Normal ↑ Normal Normal Normal Normal
Transient hyperglycemia ↑ ↑ Normal Normal ↑ Normal Normal N/↑ In hospitalized patients especially in ICU and CCU
Steroid therapy + + ↑ ↑ Normal Normal ↑ ↑ N/↑ N/↑ Acanthosis nigricans,
RTA 1 + Normal Normal ↑ Normal ↑ Normal Normal Normal Hypokalemia, nephrolithiasis
Glucagonoma ↑ Normal Normal Normal Normal Normal ↑ Necrolytic migratory erythema
Cushing syndrome + ↑ Normal ↓ N/↑ ↑ Normal Normal Moon face, obesity, buffalo hump, easy bruisibility

Differentiating Diabetes Mellitus Type 2 from other Types of Diabetes in Nonpregnant Adults

Category Type 2 diabetes Type 1 diabetes Monogenic diabetes syndromes (ie, MODY) Types of diabetes secondary to other medical conditions
Epidemiologya 90%-95% 5%-10% <5% <5%
Pathophysiology Nonautoimmune progressive loss of insulin secretion from ÎČ cells, usually in the setting of insulin resistance Autoimmune ÎČ-cell destruction, usually leading to absolute or near-absolute insulin deficiency Rare form of diabetes caused by a variant in a single gene disrupting ÎČ-cell glucose sensing or insulin production, inherited in an autosomal dominant manner; the most common forms are GCK-MODY (MODY2; glucose-sensing defect), HNF1A-MODY (MODY3), and HNF4A-MODY (MODY1) Many different secondary forms of diabetes exist; examples include diseases of the exocrine pancreas (such as cystic fibrosis and pancreatitis), diabetes due to endocrinopathies such as Cushing syndrome or acromegaly, or diabetes secondary to SARS-CoV-2 infection
Age at diagnosis Usually ≄35 y but increasingly seen in youth and younger adults, especially in the setting of obesity and/or family history Can occur in adults at any age, often with more indolent onset compared with children (termed latent autoimmune diabetes in adults) Usually <25 y Any age
Degree of hyperglycemia on presentation Usually mild (blood glucose <250 mg/dL) if detected early; however, can be moderate or severe in long-standing undiagnosed diabetes Usually moderate (blood glucose of 250-600 mg/dL); can be severe (blood glucose >600 mg/dL) in some cases Mild; usually HbA1c <7.5% at diagnosis Mild, moderate, or severe
Symptoms Can be asymptomatic or with symptoms Usually with catabolic symptoms (polyuria, polydipsia, weight loss); can be asymptomatic in adults Usually asymptomatic Can be asymptomatic or with symptoms
BMI Usually BMI ≄25 Usually BMI <25, but can be diagnosed in those with overweight or obesity Variable, but obesity usually not present Any
Family history Often a first-degree relative with type 2 diabetes, but not always Sometimes a first-degree relative with type 1 diabetes or other autoimmune disease; 85% have no family history Autosomal dominant family history, confirmed to be MODY diabetes Not usually
Diabetic ketoacidosis Can be seen on presentation in those with severe insulin deficiency or glucotoxicity (termed ketosis-prone type 2 diabetes); euglycemic diabetic ketoacidosis has been described in individuals taking SGLT2i Ketoacidosis common on presentation in children; variable on presentation in adults Unlikely Rare; has been reported with SARS-CoV-2 infection and can occur with severe pancreatitis
Autoantibodies present Not usually seen, but can be present in up to 10% of individuals, depending on the population Common, but 5%-10% will not have antibodies present on diagnosis, and levels can wane over time; the following antibodies are often tested: glutamic acid decarboxylase (GAD), islet tyrosine phosphatase–related islet antigen 2 (IA-2), zinc transporter 8 (ZnT8) and/or insulin autoantibodies (IAA) Unlikely Unlikely
Race and ethnicity Any; more common in Asian American and Pacific Islander, Black, Latino, and Native American individuals than White individuals Any; more common with European ancestry Any; most described in populations of European ancestry Any
Genetic testing Not commercially available Not commercially available; currently only in research studies Yes; required for definitive diagnosis Not commercially available
Duration prior to diagnosis Long (years) Short (months) Long (years; potentially lifelong undiagnosed in mild cases) Variable
Stimulated C-peptideb Detectable Low or undetectable (<200 pmol/L); may be detectable soon after diagnosis or for prolonged duration in adult-onset Detectable Variable
Drugs that may exacerbate or contribute to development of diabetes Long-term glucocorticoids, use of immunosuppressant drugs after organ transplantation (e.g., new-onset diabetes after transplant),c and second-generation antipsychotics such as olanzapine and clozapined Immune checkpoint inhibitors such as nivolumab and pembrolizumab (for cancer) None Antiretroviral therapies (ie, certain protease inhibitors and nucleoside reverse transcriptase inhibitors) in people with HIV; glucocorticoid treatment with active COVID-19
Related comorbidities See Figure 1 in the Supplement Other autoimmune conditions Associated features of a specific MODY type (eg, renal cysts, partial lipodystrophy, maternally inherited deafness, severe insulin resistance in the absence of obesity) Depends on secondary medical condition
Treatment Lifestyle change, oral agents, noninsulin injectables, insulin Insulin Depends on type; no treatment (GCK-MODY), sulfonylureas (HNF1A-MODY or HNF4A-MODY), sometimes insulin is needed Variable; depends on secondary medical condition; DPP4i or GLP-1 less preferred in patients with pancreatitis

Abbreviations: BMI, body mass index (calculated as weight in kilograms divided by height in meters squared); DPP4i, DPP-4 inhibitor; GLP-1RA, glucagon-like peptide-1 receptor agonist; MODY, maturity-onset diabetes of the young; SGLT2i, sodium-glucose cotransporter 2 inhibitor.

a The exact prevalence of different types of diabetes may depend on the population; thus, ranges are provided for each type.

b Refer to endocrinologist for testing; usually performed after stimulation with glucagon injection or mixed meal test. A C-peptide measurement (with simultaneous glucose) obtained within 5 hours of eating can replace a formal C-peptide stimulation test for classification.

c Screen with oral glucose tolerance test after immunosuppressive regimen is stable.

d Screen for prediabetes or diabetes at baseline when prescribed these drugs; repeat at 3 months, if clinically indicated, and annually.[4]

References

  1. ↑ Barrett TG (2007). “Differential diagnosis of type 1 diabetes: which genetic syndromes need to be considered?”. Pediatr Diabetes. 8 Suppl 6: 15–23. doi:10.1111/j.1399-5448.2007.00278.x. PMID 17727381.
  2. ↑ Type 1 Diabetes mellitus “Dennis Kasper, Anthony Fauci, Stephen Hauser, Dan Longo, J. Larry Jameson, Joseph Loscalzo”Harrison’s Principles of Internal Medicine, 19e Accessed on December 27th,2016
  3. ↑ “namrata”.
  4. ↑ “Introduction and Methodology: Standards of Care in Diabetes-2025”. Diabetes Care. 48 (1 Suppl 1): S1–S5. January 2025. doi:10.2337/dc25-SINT. PMID 39651982 Check |pmid= value (help).

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Epidemiology and Demographics
*Images are courtsey of The International Diabetes Federation. IDF Diabetes, 7 ed. Brussels, Belgium: International Diabetes Federation, 2015. http://www.diabetesatlas.org

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Dima Nimri, M.D. [2];Tarek Nafee, M.D. [3],Seyedmahdi Pahlavani, M.D. [4]

Overview

The prevalence of type 2 diabetes mellitus (DM) is well studied in the United States and other developed countries. However, worldwide there is a large variation in the results of the population studies in developing countries and particularly in rural areas with poor access to healthcare. For this reason, diabetes is estimated to be undiagnosed in approximately 50% of adults worldwide. In the United States, African Americans, Mexican Americans, American Indians and non-Hispanic blacks are at a higher risk of developing type 2 diabetes compared to non-Hispanic whites. It is more prevalent among those older than 65 years, although there is a growing trend of childhood-onset of the disease. In 2011, 335 million people were estimated to have type 2 diabetes and that number is on a trajectory to reach over 500 million people by 2050. These figures correlate with a prevalence of approximately 5000 and 7500 per 100,000 in 2011 and 2050, respectively. Type 2 diabetes is more prevalent among men than women and in countries with low to mid income levels compared to high income level countries. It is classified as a global epidemic that is growing in parallel to massive urbanization.

Epidemiology

Incidence

Prevalence

  • In 2011, about 336 million people had type 2 diabetes mellitus worldwide. This is approximately 5,000 per 100,000.
  • The prevalence of diabetes mellitus in the U.S is estimated at 7000 to 9,300 per 100,000[2]. Approximately 20% of the population over age 65 have type 2 DM.[3]

Mortality rate

  • In 2015, diabetes mellitus was the seventh leading cause of death in the United States.
  • Based on a cohort study done on 40,286 deaths in patients with type 2 diabetes, middle age white men lost 5 years and middle age white women lost 6 years of life, compared with non-diabetics. Furthermore, this study revealed that South Asians and blacks with diabetes lost 1-2 years of life.[4]

Demographic

Age

Race

Gender

Socioeconomic Status

  • The prevalence of type 2 DM is higher among those with low socioeconomic status. Approximately 75% of patients with diabetes live in low to middle income countries.[3][5]

Geographic Distribution

  • The global distribution of diabetes mellitus is reported by the international diabetes foundation (IDF). While prevalence of type 2 diabetes is not specifically reported, they do report that the vast majority of diabetes cases are type 2. Additionally, the IDF reports the prevalence of impaired glucose tolerance which alludes to the prevalence of diagnosed and undiagnosed diabetes.[3][5]
Region Prevalence of Diabetes (per 100,000) Prevalence of Impaired Glucose Tolerance (per 100,000) Maps
Africa 3200 7900
Europe 9100 4800
Middle East and North Africa 9100 7800
North America and Caribbean 12900 15000
South and Central America 9400 7900
Southeast Asia 8500 4600
Western Pacific 9300 6200
  • Images are courtsey of The International Diabetes Federation. IDF Diabetes, 7 ed. Brussels, Belgium: International Diabetes Federation, 2015. http://www.diabetesatlas.org

References

  1. ↑ Zimmet, P., Alberti, K. G. M. M., Shaw, J. Global and societal implications of the diabetes epidemic. Nature 2001, 414, 782-787.
  2. ↑ 2.0 2.1 National Diabetes Statistics Report 2014 http://www.cdc.gov/diabetes/pubs/statsreport14/national-diabetes-report-web.pdf. Accessed on Nov 19, 2016
  3. ↑ 3.0 3.1 3.2 3.3 GBD 2015 Disease and Injury Incidence and Prevalence Collaborators (2016). “Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015”. Lancet. 388 (10053): 1545–1602. doi:10.1016/S0140-6736(16)31678-6. PMC 5055577. PMID 27733282.
  4. ↑ Wright, Alison K.; Kontopantelis, Evangelos; Emsley, Richard; Buchan, Iain; Sattar, Naveed; Rutter, Martin K.; Ashcroft, Darren M. (2017). “Life Expectancy and Cause-Specific Mortality in Type 2 Diabetes: A Population-Based Cohort Study Quantifying Relationships in Ethnic Subgroups”. Diabetes Care. 40 (3): 338–345. doi:10.2337/dc16-1616. ISSN 0149-5992.
  5. ↑ 5.0 5.1 5.2 5.3 “IDF Diabetes Atlas 7th Edition”. IDF. Brussels, Belgium: International Diabetes Federation. 2015. Retrieved 9 March 2017.
  6. ↑ Selvin E, Parrinello CM, Sacks DB, Coresh J (2014). “Trends in prevalence and control of diabetes in the United States, 1988-1994 and 1999-2010”. Ann. Intern. Med. 160 (8): 517–25. doi:10.7326/M13-2411. PMC 4442608. PMID 24733192.
  7. ↑ Wright, Alison K.; Kontopantelis, Evangelos; Emsley, Richard; Buchan, Iain; Sattar, Naveed; Rutter, Martin K.; Ashcroft, Darren M. (2017). “Life Expectancy and Cause-Specific Mortality in Type 2 Diabetes: A Population-Based Cohort Study Quantifying Relationships in Ethnic Subgroups”. Diabetes Care. 40 (3): 338–345. doi:10.2337/dc16-1616. ISSN 0149-5992.


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Risk Factors

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1];Associate Editor(s)-in-Chief: Seyedmahdi Pahlavani, M.D. [2]Anahita Deylamsalehi, M.D.[3]Template:Dima Nimri

Overview

Common risk factors in the development of diabetes mellitus type 2 include family history, obesity, aging, smoking and sedentary life style.

Risk Factors

Common Risk Factors

Less Common Risk Factors

Risk Factors for Type 2 Diabetes in Children

HbA1c

HbA1c 5 year DM incidence rate
≀ 5% Around 0.1%
5.5 to 6% Between 9 to 25%
6 to 6.5% 25 to 50%
  • Also patients with HbA1c‘s more than 6% had a relative risk 20 times higher compared to those in lower HbA1c group (≀5%). Hence, the patients with HbA1c levels in the prediabetic range should be counselled about lifestyle modifications and weight reduction strategies in order to lower their risk. This should be followed with vigilant follow up visits and close scrutiny, particularly in high risk patients.

Genetic Syndromes

References

  1. ↑ Nerurkar, Pratibha V.; Bellou, Vanesa; Belbasis, Lazaros; Tzoulaki, Ioanna; Evangelou, Evangelos (2018). “Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses”. PLOS ONE. 13 (3): e0194127. doi:10.1371/journal.pone.0194127. ISSN 1932-6203.
  2. ↑ Scott RA, Langenberg C, Sharp SJ, Franks PW, Rolandsson O, Drogan D, van der Schouw YT, Ekelund U, Kerrison ND, Ardanaz E, Arriola L, Balkau B, Barricarte A, Barroso I, Bendinelli B, Beulens JW, Boeing H, de Lauzon-Guillain B, Deloukas P, Fagherazzi G, Gonzalez C, Griffin SJ, Groop LC, Halkjaer J, Huerta JM, Kaaks R, Khaw KT, Krogh V, Nilsson PM, Norat T, Overvad K, Panico S, Rodriguez-Suarez L, Romaguera D, Romieu I, Sacerdote C, SĂĄnchez MJ, Spijkerman AM, Teucher B, Tjonneland A, Tumino R, van der A DL, Wark PA, McCarthy MI, Riboli E, Wareham NJ (2013). “The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: the EPIC-InterAct study”. Diabetologia. 56 (1): 60–9. doi:10.1007/s00125-012-2715-x. PMC 4038917. PMID 23052052.
  3. ↑ Meigs JB, Cupples LA, Wilson PW (2000). “Parental transmission of type 2 diabetes: the Framingham Offspring Study”. Diabetes. 49 (12): 2201–7. PMID 11118026.
  4. ↑ Selvin E, Parrinello CM, Sacks DB, Coresh J (2014). “Trends in prevalence and control of diabetes in the United States, 1988-1994 and 1999-2010”. Ann. Intern. Med. 160 (8): 517–25. doi:10.7326/M13-2411. PMC 4442608. PMID 24733192.
  5. ↑ Mokdad AH, Ford ES, Bowman BA, Dietz WH, Vinicor F, Bales VS, Marks JS (2003). “Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001”. JAMA. 289 (1): 76–9. PMID 12503980.
  6. ↑ Nguyen NT, Nguyen XM, Lane J, Wang P (2011). “Relationship between obesity and diabetes in a US adult population: findings from the National Health and Nutrition Examination Survey, 1999-2006”. Obes Surg. 21 (3): 351–5. doi:10.1007/s11695-010-0335-4. PMC 3040808. PMID 21128002.
  7. ↑ Friedman JE, Dohm GL, Leggett-Frazier N, Elton CW, Tapscott EB, Pories WP, Caro JF (1992). “Restoration of insulin responsiveness in skeletal muscle of morbidly obese patients after weight loss. Effect on muscle glucose transport and glucose transporter GLUT4”. J. Clin. Invest. 89 (2): 701–5. doi:10.1172/JCI115638. PMC 442905. PMID 1737857.
  8. ↑ Chan JM, Rimm EB, Colditz GA, Stampfer MJ, Willett WC (1994). “Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men”. Diabetes Care. 17 (9): 961–9. PMID 7988316.
  9. ↑ Huttunen, R; SyrjĂ€nen, J (2012). “Obesity and the risk and outcome of infection”. International Journal of Obesity. 37 (3): 333–340. doi:10.1038/ijo.2012.62. ISSN 0307-0565.
  10. ↑ Feskens EJ, Kromhout D (1989). “Cardiovascular risk factors and the 25-year incidence of diabetes mellitus in middle-aged men. The Zutphen Study”. Am. J. Epidemiol. 130 (6): 1101–8. PMID 2589303.
  11. ↑ 11.0 11.1 Rimm EB, Chan J, Stampfer MJ, Colditz GA, Willett WC (1995). “Prospective study of cigarette smoking, alcohol use, and the risk of diabetes in men”. BMJ. 310 (6979): 555–9. PMC 2548937. PMID 7888928.
  12. ↑ Foy CG, Bell RA, Farmer DF, Goff DC, Wagenknecht LE (2005). “Smoking and incidence of diabetes among U.S. adults: findings from the Insulin Resistance Atherosclerosis Study”. Diabetes Care. 28 (10): 2501–7. PMID 16186287.
  13. ↑ Cichosz, Simon Lebech; Jensen, Morten HasselstrĂžm; Hejlesen, Ole (2020). “Associations between smoking, glucose metabolism and lipid levels: A cross-sectional study”. Journal of Diabetes and its Complications: 107649. doi:10.1016/j.jdiacomp.2020.107649. ISSN 1056-8727.
  14. ↑ Crump C, Sundquist J, Winkleby MA, Sieh W, Sundquist K (2016). “Physical Fitness Among Swedish Military Conscripts and Long-Term Risk for Type 2 Diabetes Mellitus: A Cohort Study”. Ann. Intern. Med. 164 (9): 577–84. doi:10.7326/M15-2002. PMC 4861045. PMID 26954518.
  15. ↑ Schulze MB, Manson JE, Ludwig DS, Colditz GA, Stampfer MJ, Willett WC, Hu FB (2004). “Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women”. JAMA. 292 (8): 927–34. doi:10.1001/jama.292.8.927. PMID 15328324.
  16. ↑ Montonen J, JĂ€rvinen R, Knekt P, Heliövaara M, Reunanen A (2007). “Consumption of sweetened beverages and intakes of fructose and glucose predict type 2 diabetes occurrence”. J. Nutr. 137 (6): 1447–54. PMID 17513405.
  17. ↑ Romaguera D, Norat T, Wark PA, Vergnaud AC, Schulze MB, van Woudenbergh GJ, Drogan D, Amiano P, Molina-Montes E, SĂĄnchez MJ, Balkau B, Barricarte A, Beulens JW, Clavel-Chapelon F, Crispim SP, Fagherazzi G, Franks PW, Grote VA, Huybrechts I, Kaaks R, Key TJ, Khaw KT, Nilsson P, Overvad K, Palli D, Panico S, QuirĂłs JR, Rolandsson O, Sacerdote C, Sieri S, Slimani N, Spijkerman AM, Tjonneland A, Tormo MJ, Tumino R, van den Berg SW, Wermeling PR, Zamara-Ros R, Feskens EJ, Langenberg C, Sharp SJ, Forouhi NG, Riboli E, Wareham NJ (2013). “Consumption of sweet beverages and type 2 diabetes incidence in European adults: results from EPIC-InterAct”. Diabetologia. 56 (7): 1520–30. doi:10.1007/s00125-013-2899-8. PMID 23620057.
  18. ↑ Imamura F, O’Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG (2015). “Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: systematic review, meta-analysis, and estimation of population attributable fraction”. BMJ. 351: h3576. PMC 4510779. PMID 26199070.
  19. ↑ Fung TT, Hu FB, Pereira MA, Liu S, Stampfer MJ, Colditz GA, Willett WC (2002). “Whole-grain intake and the risk of type 2 diabetes: a prospective study in men”. Am. J. Clin. Nutr. 76 (3): 535–40. PMID 12197996.
  20. ↑ de Munter JS, Hu FB, Spiegelman D, Franz M, van Dam RM (2007). “Whole grain, bran, and germ intake and risk of type 2 diabetes: a prospective cohort study and systematic review”. PLoS Med. 4 (8): e261. doi:10.1371/journal.pmed.0040261. PMC 1952203. PMID 17760498.
  21. ↑ van Dam RM, Hu FB (2005). “Coffee consumption and risk of type 2 diabetes: a systematic review”. JAMA. 294 (1): 97–104. doi:10.1001/jama.294.1.97. PMID 15998896.
  22. ↑ Nerurkar, Pratibha V.; Bellou, Vanesa; Belbasis, Lazaros; Tzoulaki, Ioanna; Evangelou, Evangelos (2018). “Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses”. PLOS ONE. 13 (3): e0194127. doi:10.1371/journal.pone.0194127. ISSN 1932-6203.
  23. ↑ Meigs JB, Dupuis J, Herbert AG, Liu C, Wilson PW, Cupples LA (2005). “The insulin gene variable number tandem repeat and risk of type 2 diabetes in a population-based sample of families and unrelated men and women”. J Clin Endocrinol Metab. 90 (2): 1137–43. doi:10.1210/jc.2004-1212. PMID 15562019.
  24. ↑ Nerurkar, Pratibha V.; Bellou, Vanesa; Belbasis, Lazaros; Tzoulaki, Ioanna; Evangelou, Evangelos (2018). “Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses”. PLOS ONE. 13 (3): e0194127. doi:10.1371/journal.pone.0194127. ISSN 1932-6203.
  25. ↑ American Diabetes Association (2013). “Standards of medical care in diabetes–2013”. Diabetes Care. 36 Suppl 1: S11–66. doi:10.2337/dc13-S011. PMC 3537269. PMID 23264422.
  26. ↑ Xuanping Zhang, Edward W. Gregg, David F. Williamson, Lawrence E. Barker, William Thomas, Kai McKeever Bullard, Giuseppina Imperatore, Desmond E. Williams & Ann L. Albright (2010). “A1C level and future risk of diabetes: a systematic review”. Diabetes care. 33 (7): 1665–1673. doi:10.2337/dc09-1939. PMID 20587727. Unknown parameter |month= ignored (help)
  27. ↑ Barrett TG (2001). “Mitochondrial diabetes, DIDMOAD and other inherited diabetes syndromes”. Best Pract. Res. Clin. Endocrinol. Metab. 15 (3): 325–43. doi:10.1053/beem.2001.0149. PMID 11554774.

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Screening

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Seyedmahdi Pahlavani, M.D. [2]

Overview

Diabetes screening is recommended for many people at various stages of life, and for those with risk factors. Screening tests are the same tests used for diagnosis. American Diabetes Association recommends screening starting at the age of 45 years in patients with risk factors. Moreover, there are screening strategies for women with history of gestational diabetes, in order to address higher chance of type 2 diabetes development in this specific population. Early diagnosis and treatment can control the complications and result in better clinical outcomes.

Screening

  • Screening is recommended for persons at risk of developing diabetes, starting at the age 45 years.

American Diabetes Association

The ADA updated their screening recommendations in 2022[1].

ADA criteria for testing for diabetes or prediabetes in asymptomatic adults[1]

2.7 Screening for prediabetes and type 2 diabetes with an informal assessment of risk factors or validated risk calculator should be done in asymptomatic adults. B

2.8 Testing for prediabetes and/or type 2 diabetes in asymptomatic people should be considered in adults of any age with overweight or obesity (BMI ≄25 kg/m2 or ≄23 kg/m2 in Asian Americans) who have one or more risk factors (Table 2.3). B

2.9 For all people, screening should begin at age 35 years. B

2.10 If tests are normal, repeat screening recommended at a minimum of 3-year intervals is reasonable, sooner with symptoms or change in risk (i.e., weight gain). C

2.11 To screen for prediabetes and type 2 diabetes, fasting plasma glucose, 2-h plasma glucose during 75-g oral glucose tolerance test, and A1C are each appropriate

American College of Obstetricians and Gynecologists (ACOG)

It has been estimated that 15-50% of gestational diabetes mellitus-diagnosed mothers will go on to develop T2DM postpartum.[2][3][4][5][6] Consequently, ACOG guidelines currently recommend the following screening methods for T2DM detection:

OR

Fifth International Workshop-Conference on GDM & American Diabetic Association

Data has been presented that estimates only 34% of women with IGT or type 2 diabetes had impaired fasting glucose and that 44% of those with type 2 diabetes had fasting levels 100 mg/day (5.5 mmol/l) during their postpartum visit. Given this risk, it has been suggested by this symposium in conjunction with the ADA that regardless of the 6-12 week screening result, GDM-diagnosed mothers ought to undergo the following screening strategy[7][8]:

Benefit of Early Detection

  • Following the publication of the USPSTF statement, a randomized controlled trial was done and acarbose was prescribed to patients in the “high-risk population” between the ages of 40 and 70 years, whose body mass index (calculated as weight in kilograms divided by the square of height in meters) fell between 25 and 40 kg/m2. They were eligible for the study if they had IGT according to the World Health Organization criteria, plus impaired fasting glucose (a fasting plasma glucose concentration of between 100 and 140 mg/dL or 5.5 and 7.8 mmol/L). The trial revealed a number needed to treat of 44 (over 3.3 years) to prevent a major cardiovascular event[9].

References

  1. ↑ 1.0 1.1 American Diabetes Association Professional Practice Committee. American Diabetes Association Professional Practice Committee:. Draznin B, Aroda VR, Bakris G, Benson G; et al. (2022). “2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2022”. Diabetes Care. 45 (Supplement_1): S17–S38. doi:10.2337/dc22-S002. PMID 34964875 Check |pmid= value (help).
  2. ↑ Kaaja RJ, Greer IA (2005). “Manifestations of chronic disease during pregnancy”. JAMA. 294 (21): 2751–7. doi:10.1001/jama.294.21.2751. PMID 16333011.
  3. ↑ Buchanan TA, Xiang AH (2005). “Gestational diabetes mellitus”. J Clin Invest. 115 (3): 485–91. doi:10.1172/JCI24531. PMC 1052018. PMID 15765129.
  4. ↑ Russell MA, Phipps MG, Olson CL, Welch HG, Carpenter MW (2006). “Rates of postpartum glucose testing after gestational diabetes mellitus”. Obstet Gynecol. 108 (6): 1456–62. doi:10.1097/01.AOG.0000245446.85868.73. PMID 17138780.
  5. ↑ Kim C, Newton KM, Knopp RH (2002). “Gestational diabetes and the incidence of type 2 diabetes: a systematic review”. Diabetes Care. 25 (10): 1862–8. PMID 12351492.
  6. ↑ Chodick G, Elchalal U, Sella T, Heymann AD, Porath A, Kokia E; et al. (2010). “The risk of overt diabetes mellitus among women with gestational diabetes: a population-based study”. Diabet Med. 27 (7): 779–85. doi:10.1111/j.1464-5491.2010.02995.x. PMID 20636958.
  7. ↑ American Diabetes Association (2016). “12. Management of Diabetes in Pregnancy”. Diabetes Care. 39 Suppl 1: S94–8. doi:10.2337/dc16-S015. PMID 26696688.
  8. ↑ Metzger BE, Buchanan TA, Coustan DR, de Leiva A, Dunger DB, Hadden DR; et al. (2007). “Summary and recommendations of the Fifth International Workshop-Conference on Gestational Diabetes Mellitus”. Diabetes Care. 30 Suppl 2: S251–60. doi:10.2337/dc07-s225. PMID 17596481.
  9. ↑ Chiasson JL, Josse RG, Gomis R, Hanefeld M, Karasik A, Laakso M (2003). “Acarbose treatment and the risk of cardiovascular disease and hypertension in patients with impaired glucose tolerance: the STOP-NIDDM trial”. JAMA. 290 (4): 486–94. doi:10.1001/jama.290.4.486. PMID 12876091. ACP Journal Club review
  10. ↑ Lindström J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson JG, Hemiö K, HĂ€mĂ€lĂ€inen H, HĂ€rkönen P, KeinĂ€nen-Kiukaanniemi S, Laakso M, Louheranta A, Mannelin M, Paturi M, Sundvall J, Valle TT, Uusitupa M, Tuomilehto J (2006). “Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study”. Lancet. 368 (9548): 1673–9. doi:10.1016/S0140-6736(06)69701-8. PMID 17098085.ACP Journal Club review
  11. ↑ Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM (2002). “Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin”. N. Engl. J. Med. 346 (6): 393–403. doi:10.1056/NEJMoa012512. PMID 11832527. ACP Journal Club review

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Natural history, Complications and Prognosis

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1];Associate Editor(s)-in-Chief: Seyedmahdi Pahlavani, M.D. [2]Anahita Deylamsalehi, M.D.[3] Fatemeh Dehghani Firouzabadi, MD [4] Javaria Anwer M.D.[5]

Overview

If diabetes mellitus type 2 is left untreated, it may result in hyperosmolar hyperglycemic state (HHS) and in rare circumstances, diabetic ketoacidosis (DKA). These are classified as acute complications of diabetes. Chronic complications of diabetes mellitus include microvascular and macrovascular complications. Early diagnosis and prompt treatment of these complications may result in improved prognosis and less long term morbidity and mortality.

Natural History

Complications

Acute complications

Chronic complications

Chronic complications of Diabetes
Type Organ system Compliaction
Microvascular complications Eye
Nervous system
Kidneys
Macrovascular complications Coronary and vascular
CNS
Others Gastrointestinal (GI)
Genitourinary
HEENT
Skin
Eye
CNS

Heart Disease and Stroke

Kidney Disease

  • Diabetes can damage the filtering ability of kidneys. High levels of blood sugar make the kidneys filter too much blood. All this extra work is hard on the filters. After many years, they start to leak. Useful protein is lost in the urine. Having small amounts of protein in the urine is called microalbuminuria. When kidney disease is diagnosed early, (during microalbuminuria), several treatments may keep kidney disease from getting worse. Having larger amounts is called macroalbuminuria. When kidney disease is caught later (during macroalbuminuria), end-stage renal disease (ESRD) usually follows. In time, the stress of overwork causes the kidneys to lose their filtering ability. Waste products then start to build up in the blood. Finally, the kidneys fail. This failure, ESRD, is very serious. A person with ESRD needs to have a kidney transplant or to have the blood filtered by machine (dialysis). Diabetic kidney disease can be prevented by keeping blood sugar in the target range.
  • A study done on Chinese population found an association between elevated tyrosine level and increased likelihood of diabetic nephropathy.[21]
  • There are some data that support uNCR (urinary neutrophil gelatinase-associated lipocalin (uNGAL)/Cr ratio) as a possible diagnostic tool for suspected diabetic kidney disease or in patients that required confirmatory kidney biopsy. Based on these data, diabetic patients with uNCR ratio more than 60.685 ng/mg has 7.595 times higher probability of nephrotic-range proteinuria compared to the group with uNCR≀60.685 ng/mg.[22]

Eye Complications

Diabetic Neuropathy and Nerve Damage

Foot Complications

Evaluation of sensation with a 10g monofilament at specific sites, case courtesy by Joselyn Rojas “Peripheral and Autonomic Neuropathy in an Adolescent with Type 1 Diabetes Mellitus: Evidence of Symptom Reversibility after Successful Correction of Hyperglycemia”.


Evaluation of vibratory sense with a 128-Hz tuning fork, case courtesy by Nitin Kapoor“Approach to diabetic neuropathy”.


Gastroparesis

Hypoglycemia, Hyperglycemia, and a High Risk for Diabetic Comas

COVID-19 infection

Risk Factors

  • Some possible factors that lead to more severe COVID-19 in diabetic patient have been summarized in the table below:[47]
Confirmed factors hypothesized factors
1- Glycemic instability

2- Immune deficiency (specially T-cell response)

3- Related comorbidities, like obesity and cardiac and renal disease

1- Chronic inflammation (elevated interleukin-6)

2- Elevated plasmin

3- Reduced ACE2

4- Increased furin (involved in virus entry into cell)

Complications:

Management Considerations:

Anti-diabetic medication

Relation to ACE2 expression

Advantage

Disadvantage

None
  • Lower level of IL-6
  • Higher albumin level
  • Lower COVID-19 related death
  • Potential cardiovascular benefits


Increased ACE2 production in animal models
  • Reduction in proinflammatory cytokines
  • Lower chance of lung injury
None
  • No specific advantage has been found in patients with COVID-19
None
  • No specific disadvantage has been found in patients with COVID-19
Increased ACE2 production by kidney in human studies
Liraglutide has been linked with elevated ACE2 production in lung and heart in animal models
  • Potential cardiovascular benefits
Increased Renal ACE2 production in animal models
  • No specific disadvantage has been found in patients with COVID-19

    Prognosis

    References

    1. ↑ 1.0 1.1 “Standards of Medical Care in Diabetes-2017: Summary of Revisions”. Diabetes Care. 40 (Suppl 1): S4–S5. 2017. doi:10.2337/dc17-S003. PMID 27979887.
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    39. ↑ Cryer PE, Davis SN, Shamoon H (2003). “Hypoglycemia in diabetes”. Diabetes Care. 26 (6): 1902–12. doi:10.2337/diacare.26.6.1902. PMID 12766131.
    40. ↑ Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL; et al. (2020). “Practical recommendations for the management of diabetes in patients with COVID-19”. Lancet Diabetes Endocrinol. 8 (6): 546–550. doi:10.1016/S2213-8587(20)30152-2. PMC 7180013 Check |pmc= value (help). PMID 32334646 Check |pmid= value (help).
    41. ↑ Remuzzi A, Remuzzi G (2020). “COVID-19 and Italy: what next?”. Lancet. 395 (10231): 1225–1228. doi:10.1016/S0140-6736(20)30627-9. PMC 7102589 Check |pmc= value (help). PMID 32178769 Check |pmid= value (help).
    42. ↑ Gupta, Ritesh; Hussain, Akhtar; Misra, Anoop (2020). “Diabetes and COVID-19: evidence, current status and unanswered research questions”. European Journal of Clinical Nutrition. 74 (6): 864–870. doi:10.1038/s41430-020-0652-1. ISSN 0954-3007.
    43. ↑ Chen, Yuchen; Yang, Dong; Cheng, Biao; Chen, Jian; Peng, Anlin; Yang, Chen; Liu, Chong; Xiong, Mingrui; Deng, Aiping; Zhang, Yu; Zheng, Ling; Huang, Kun (2020). “Clinical Characteristics and Outcomes of Patients With Diabetes and COVID-19 in Association With Glucose-Lowering Medication”. Diabetes Care. 43 (7): 1399–1407. doi:10.2337/dc20-0660. ISSN 0149-5992.
    44. ↑ Zhang Q, Wei Y, Chen M, Wan Q, Chen X (2020). “Clinical analysis of risk factors for severe COVID-19 patients with type 2 diabetes”. J Diabetes Complications: 107666. doi:10.1016/j.jdiacomp.2020.107666. PMC 7323648 Check |pmc= value (help). PMID 32636061 Check |pmid= value (help).
    45. ↑ 45.0 45.1 Guo, Weina; Li, Mingyue; Dong, Yalan; Zhou, Haifeng; Zhang, Zili; Tian, Chunxia; Qin, Renjie; Wang, Haijun; Shen, Yin; Du, Keye; Zhao, Lei; Fan, Heng; Luo, Shanshan; Hu, Desheng (2020). “Diabetes is a risk factor for the progression and prognosis of COVID-19”. Diabetes/Metabolism Research and Reviews: e3319. doi:10.1002/dmrr.3319. ISSN 1520-7552.
    46. ↑ 46.0 46.1 Gupta, Ritesh; Hussain, Akhtar; Misra, Anoop (2020). “Diabetes and COVID-19: evidence, current status and unanswered research questions”. European Journal of Clinical Nutrition. 74 (6): 864–870. doi:10.1038/s41430-020-0652-1. ISSN 0954-3007.
    47. ↑ Gupta, Ritesh; Hussain, Akhtar; Misra, Anoop (2020). “Diabetes and COVID-19: evidence, current status and unanswered research questions”. European Journal of Clinical Nutrition. 74 (6): 864–870. doi:10.1038/s41430-020-0652-1. ISSN 0954-3007.
    48. ↑ Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL; et al. (2020). “Practical recommendations for the management of diabetes in patients with COVID-19”. Lancet Diabetes Endocrinol. 8 (6): 546–550. doi:10.1016/S2213-8587(20)30152-2. PMC 7180013 Check |pmc= value (help). PMID 32334646 Check |pmid= value (help).
    49. ↑ Singh, Awadhesh Kumar; Khunti, Kamlesh (2020). “Assessment of risk, severity, mortality, glycemic control and antidiabetic agents in patients with diabetes and COVID-19: A narrative review”. Diabetes Research and Clinical Practice. 165: 108266. doi:10.1016/j.diabres.2020.108266. ISSN 0168-8227.
    50. ↑ 50.0 50.1 Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL; et al. (2020). “Practical recommendations for the management of diabetes in patients with COVID-19”. Lancet Diabetes Endocrinol. 8 (6): 546–550. doi:10.1016/S2213-8587(20)30152-2. PMC 7180013 Check |pmc= value (help). PMID 32334646 Check |pmid= value (help).
    51. ↑ 51.0 51.1 NICE-SUGAR Study Investigators. Finfer S, Chittock DR, Su SY, Blair D, Foster D; et al. (2009). “Intensive versus conventional glucose control in critically ill patients”. N Engl J Med. 360 (13): 1283–97. doi:10.1056/NEJMoa0810625. PMID 19318384. Review in: J Fam Pract. 2009 Aug;58(8):424-6 Review in: Ann Intern Med. 2009 Aug 18;151(4):JC2-5
    52. ↑ Pasquel FJ, Lansang MC, Dhatariya K, Umpierrez GE (2021). “Management of diabetes and hyperglycaemia in the hospital”. Lancet Diabetes Endocrinol. 9 (3): 174–188. doi:10.1016/S2213-8587(20)30381-8. PMID 33515493 Check |pmid= value (help).
    53. ↑ Pasquel FJ, Tsegka K, Wang H, Cardona S, Galindo RJ, Fayfman M; et al. (2020). “Clinical Outcomes in Patients With Isolated or Combined Diabetic Ketoacidosis and Hyperosmolar Hyperglycemic State: A Retrospective, Hospital-Based Cohort Study”. Diabetes Care. 43 (2): 349–357. doi:10.2337/dc19-1168. PMC 6971788 Check |pmc= value (help). PMID 31704689.
    54. ↑ Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL; et al. (2020). “Practical recommendations for the management of diabetes in patients with COVID-19”. Lancet Diabetes Endocrinol. 8 (6): 546–550. doi:10.1016/S2213-8587(20)30152-2. PMC 7180013 Check |pmc= value (help). PMID 32334646 Check |pmid= value (help).
    55. ↑ Singh, Awadhesh Kumar; Khunti, Kamlesh (2020). “Assessment of risk, severity, mortality, glycemic control and antidiabetic agents in patients with diabetes and COVID-19: A narrative review”. Diabetes Research and Clinical Practice. 165: 108266. doi:10.1016/j.diabres.2020.108266. ISSN 0168-8227.
    56. ↑ Chen, Yuchen; Yang, Dong; Cheng, Biao; Chen, Jian; Peng, Anlin; Yang, Chen; Liu, Chong; Xiong, Mingrui; Deng, Aiping; Zhang, Yu; Zheng, Ling; Huang, Kun (2020). “Clinical Characteristics and Outcomes of Patients With Diabetes and COVID-19 in Association With Glucose-Lowering Medication”. Diabetes Care. 43 (7): 1399–1407. doi:10.2337/dc20-0660. ISSN 0149-5992.
    57. ↑ Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL; et al. (2020). “Practical recommendations for the management of diabetes in patients with COVID-19”. Lancet Diabetes Endocrinol. 8 (6): 546–550. doi:10.1016/S2213-8587(20)30152-2. PMC 7180013 Check |pmc= value (help). PMID 32334646 Check |pmid= value (help).
    58. ↑ Chen, Yuchen; Yang, Dong; Cheng, Biao; Chen, Jian; Peng, Anlin; Yang, Chen; Liu, Chong; Xiong, Mingrui; Deng, Aiping; Zhang, Yu; Zheng, Ling; Huang, Kun (2020). “Clinical Characteristics and Outcomes of Patients With Diabetes and COVID-19 in Association With Glucose-Lowering Medication”. Diabetes Care. 43 (7): 1399–1407. doi:10.2337/dc20-0660. ISSN 0149-5992.
    59. ↑ Fang L, Karakiulakis G, Roth M (2020). “Are patients with hypertension and diabetes mellitus at increased risk for COVID-19 infection?”. Lancet Respir Med. 8 (4): e21. doi:10.1016/S2213-2600(20)30116-8. PMC 7118626 Check |pmc= value (help). PMID 32171062 Check |pmid= value (help).
    60. ↑ Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL; et al. (2020). “Practical recommendations for the management of diabetes in patients with COVID-19”. Lancet Diabetes Endocrinol. 8 (6): 546–550. doi:10.1016/S2213-8587(20)30152-2. PMC 7180013 Check |pmc= value (help). PMID 32334646 Check |pmid= value (help).
    61. ↑ Gupta, Ritesh; Hussain, Akhtar; Misra, Anoop (2020). “Diabetes and COVID-19: evidence, current status and unanswered research questions”. European Journal of Clinical Nutrition. 74 (6): 864–870. doi:10.1038/s41430-020-0652-1. ISSN 0954-3007.
    62. ↑ 62.0 62.1 Singh, Awadhesh Kumar; Singh, Ritu (2020). “Is metformin ahead in the race as a repurposed host-directed therapy for patients with diabetes and COVID-19?”. Diabetes Research and Clinical Practice. 165: 108268. doi:10.1016/j.diabres.2020.108268. ISSN 0168-8227.
    63. ↑ Couselo-Seijas M, Agra-Bermejo RM, FernĂĄndez AL, MartĂ­nez-Cereijo JM, Sierra J, Soto-PĂ©rez M; et al. (2020). “High released lactate by epicardial fat from coronary artery disease patients is reduced by dapagliflozin treatment”. Atherosclerosis. 292: 60–69. doi:10.1016/j.atherosclerosis.2019.11.016. PMID 31783199.
    64. ↑ 64.0 64.1 Gupta, Ritesh; Hussain, Akhtar; Misra, Anoop (2020). “Diabetes and COVID-19: evidence, current status and unanswered research questions”. European Journal of Clinical Nutrition. 74 (6): 864–870. doi:10.1038/s41430-020-0652-1. ISSN 0954-3007.
    65. ↑ Gupta, Ritesh; Hussain, Akhtar; Misra, Anoop (2020). “Diabetes and COVID-19: evidence, current status and unanswered research questions”. European Journal of Clinical Nutrition. 74 (6): 864–870. doi:10.1038/s41430-020-0652-1. ISSN 0954-3007.
    66. ↑ Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL; et al. (2020). “Practical recommendations for the management of diabetes in patients with COVID-19”. Lancet Diabetes Endocrinol. 8 (6): 546–550. doi:10.1016/S2213-8587(20)30152-2. PMC 7180013 Check |pmc= value (help). PMID 32334646 Check |pmid= value (help).
    67. ↑ Fang L, Karakiulakis G, Roth M (2020). “Are patients with hypertension and diabetes mellitus at increased risk for COVID-19 infection?”. Lancet Respir Med. 8 (4): e21. doi:10.1016/S2213-2600(20)30116-8. PMC 7118626 Check |pmc= value (help). PMID 32171062 Check |pmid= value (help).
    68. ↑ Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL; et al. (2020). “Practical recommendations for the management of diabetes in patients with COVID-19”. Lancet Diabetes Endocrinol. 8 (6): 546–550. doi:10.1016/S2213-8587(20)30152-2. PMC 7180013 Check |pmc= value (help). PMID 32334646 Check |pmid= value (help).
    69. ↑ Singh, Awadhesh Kumar; Khunti, Kamlesh (2020). “Assessment of risk, severity, mortality, glycemic control and antidiabetic agents in patients with diabetes and COVID-19: A narrative review”. Diabetes Research and Clinical Practice. 165: 108266. doi:10.1016/j.diabres.2020.108266. ISSN 0168-8227.
    70. ↑ Gupta, Ritesh; Hussain, Akhtar; Misra, Anoop (2020). “Diabetes and COVID-19: evidence, current status and unanswered research questions”. European Journal of Clinical Nutrition. 74 (6): 864–870. doi:10.1038/s41430-020-0652-1. ISSN 0954-3007.
    71. ↑ Singh, Awadhesh Kumar; Khunti, Kamlesh (2020). “Assessment of risk, severity, mortality, glycemic control and antidiabetic agents in patients with diabetes and COVID-19: A narrative review”. Diabetes Research and Clinical Practice. 165: 108266. doi:10.1016/j.diabres.2020.108266. ISSN 0168-8227.
    72. ↑ 72.0 72.1 Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL; et al. (2020). “Practical recommendations for the management of diabetes in patients with COVID-19”. Lancet Diabetes Endocrinol. 8 (6): 546–550. doi:10.1016/S2213-8587(20)30152-2. PMC 7180013 Check |pmc= value (help). PMID 32334646 Check |pmid= value (help).
    73. ↑ Zhang, Yanbo; Pan, Xiong-Fei; Chen, Junxiang; Xia, Lu; Cao, Anlan; Zhang, Yuge; Wang, Jing; Li, Huiqi; Yang, Kun; Guo, Kunquan; He, Meian; Pan, An (2019). “Combined lifestyle factors and risk of incident type 2 diabetes and prognosis among individuals with type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies”. Diabetologia. doi:10.1007/s00125-019-04985-9. ISSN 0012-186X.
    74. ↑ PyƏrĂ€lĂ€ K, Pedersen TR, Kjekshus J, Faergeman O, Olsson AG, Thorgeirsson G (1997). “Cholesterol lowering with simvastatin improves prognosis of diabetic patients with coronary heart disease. A subgroup analysis of the Scandinavian Simvastatin Survival Study (4S)”. Diabetes Care. 20 (4): 614–20. doi:10.2337/diacare.20.4.614. PMID 9096989.
    75. ↑ Gaede P, Lund-Andersen H, Parving HH, Pedersen O (2008). “Effect of a multifactorial intervention on mortality in type 2 diabetes”. N Engl J Med. 358 (6): 580–91. doi:10.1056/NEJMoa0706245. PMID 18256393. Review in: J Fam Pract. 2008 May;57(5):302 Review in: ACP J Club. 2008 Aug 19;149(2):4
    76. ↑ Kerr D, Partridge H, Knott J, Thomas PW (2011). “HbA1c 3 months after diagnosis predicts premature mortality in patients with new onset type 2 diabetes”. Diabet Med. 28 (12): 1520–4. doi:10.1111/j.1464-5491.2011.03443.x. PMID 21913968.
    77. ↑ Yamasaki Y, Nakajima K, Kusuoka H, Izumi T, Kashiwagi A, Kawamori R; et al. (2010). “Prognostic value of gated myocardial perfusion imaging for asymptomatic patients with type 2 diabetes: the J-ACCESS 2 investigation”. Diabetes Care. 33 (11): 2320–6. doi:10.2337/dc09-2370. PMC 2963487. PMID 20724653.
    78. ↑ Afanasiev SA, Garganeeva AA, Kuzheleva EA, Andriyanova AV, Kondratieva DS, Popov SV (2018). “The Impact of Type 2 Diabetes Mellitus on Long-Term Prognosis in Patients of Different Ages with Myocardial Infarction”. J Diabetes Res. 2018: 1780683. doi:10.1155/2018/1780683. PMC 6079422. PMID 30116733.
    79. ↑ Young, Martin E.; McNulty, Patrick; Taegtmeyer, Heinrich (2002). “Adaptation and Maladaptation of the Heart in Diabetes: Part II”. Circulation. 105 (15): 1861–1870. doi:10.1161/01.CIR.0000012467.61045.87. ISSN 0009-7322.
    80. ↑ Palmer, Suetonia C; Tendal, Britta; Mustafa, Reem A; Vandvik, Per Olav; Li, Sheyu; Hao, Qiukui; Tunnicliffe, David; Ruospo, Marinella; Natale, Patrizia; Saglimbene, Valeria; Nicolucci, Antonio; Johnson, David W; Tonelli, Marcello; Rossi, Maria Chiara; Badve, Sunil V; Cho, Yeoungjee; Nadeau-Fredette, Annie-Claire; Burke, Michael; Faruque, Labib I; Lloyd, Anita; Ahmad, Nasreen; Liu, Yuanchen; Tiv, Sophanny; Millard, Tanya; Gagliardi, Lucia; Kolanu, Nithin; Barmanray, Rahul D; McMorrow, Rita; Raygoza Cortez, Ana Karina; White, Heath; Chen, Xiangyang; Zhou, Xu; Liu, Jiali; RodrĂ­guez, Andrea Flores; GonzĂĄlez-Colmenero, Alejandro DĂ­az; Wang, Yang; Li, Ling; Sutanto, Surya; Solis, Ricardo Cesar; DĂ­az GonzĂĄlez-Colmenero, Fernando; Rodriguez-Gutierrez, RenĂ©; Walsh, Michael; Guyatt, Gordon; Strippoli, Giovanni F M (2021). “Sodium-glucose cotransporter protein-2 (SGLT-2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists for type 2 diabetes: systematic review and network meta-analysis of randomised controlled trials”. BMJ: m4573. doi:10.1136/bmj.m4573. ISSN 1756-1833.


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