Complex presentations in people with diabetes: Does HbA1c help or hinder?

HbA1c measurement is widely used for diagnosis/ management/remission of diabetes with international schemes certifying comparability. A) 75 year-old Chinese female with type 2 diabetes was admitted in April 2020 with Covid-19 and diabetic ketoacidosis. Glucose was 35mmol/l and HbA1c 150mmol/mol with previous HbA1c of 45mmol/mol on metformin and alogliptin. She was treated for ketoacidosis and once-daily Lantus introduced along with supportive management of viral illness. B) 68 year-old Afro-Caribbean with type 2 diabetes on metformin before admission, presented with new onset, jerky ballistic movements of high amplitude in right arm, 10-15 movements every 5 min. Admission glucose was >33mmol/l, ketones 1.8mmol/l and HbA1c >217mmol/ mol. Hemichorea-hemiballism, a hyperglycaemia related movement was diagnosed and insulin commenced. Glucose decreased to 8-20mmol/ l, reaching 5-15mmol/ l by time of discharge. Ballistic movements resolved when glycaemic control improved with HbA1c 169mmol/mol, 25 days after discharge. C) Several days before admission, a female with diabetes over 20 years required attention from paramedics on four occasions for hypoglycaemia. Months beforehand metformin was replaced by gliclazide due to chronic kidney disease with HbA1c 50mmol/mol, and she was transfused six weeks before admission for microcytic anaemia. Gliclazide was discontinued and her diet modified which prevented further hypoglycaemic episodes. Variant haemoglobin, beta-thalassaemia which can overestimate glycaemia;undetected by HbA1c HPLC method, invalidated HbA1c as did the blood transfusion. These cases highlight that inadequate understanding of HbA1c can lead to acute presentations of dysglycaemia. As HbA1c accuracy can be affected by multiple factors, clinical assessment and triangulation are key to the management of such patients.

The Negative Impact of Routine, Dietary Pattern, and Physical Activity on Obesity and Dysglycemia During the COVID-19 Pandemic.

The global coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak, has disrupted routines in education, work, exercise, and dining habits. To prevent viral spread, communal spaces including offices, schools, restaurants, and gyms have closed or drastically limited their capacity. Additionally, government-mandated lockdown orders have forced people to spend more time at home. Studies have shown that these COVID-19 restrictions have led to unhealthier eating patterns, increased sedentary behaviors, and decreased physical activity, leading to weight gain, dysglycemia, and increased metabolic risk. While strict social distancing measures have been necessary to curb the spread of the SARS-CoV-2 virus, people have been forced to adapt by altering their daily routines. Based on existing literature, a model is proposed for intentionally creating daily routines to ensure healthy habits, minimize weight gain, and prevent worsening dysglycemia.

Risk Factors for Dysglycemia in the Icu during the Covid-19 Pandemic

INTRODUCTION: Glycemic control is an important component of quality improvement bundles within the ICU. Dysglycemia among intensive care unit (ICU) patients has been associated with greater morbidity and mortality. The COVID-19 pandemic has been shown to influence hypoglycemia in patients presenting to the emergency department. The purpose of this study is to evaluate risk factors for dysglycemia during the COVID-19 pandemic in critically ill ICU patients on subcutaneous insulin. METHOD(S): Single-center, retrospective quality improvement study of adult critically ill patients admitted to the ICU in 2020. Patients were included if they were on subcutaneous insulin and primarily managed by an intensive care unit multidisciplinary team. Patients were excluded with active endocrinology consultation or receiving intravenous insulin infusion. Rates of hyperglycemia (blood glucose (BG) greater than or equal to 180 mg/dL), severe hyperglycemia (BG > 300 mg/dL), hypoglycemia (less than or equal to 70 mg/dL), or severe hypoglycemia (BG < 54 mg/dL) were evaluated. Basic patient demographics, including history of diabetes, steroid use, COVID-19 diagnosis were obtained. Regression analysis was performed adjusting for age, past medical history of diabetes, use of corticosteroid medications, COVID-19 diagnosis and use of a self-adjusting insulin calculator. RESULT(S): There were 244 adult ICU patients and 2,198 patient days evaluated in this study. History of diabetes was associated with greater odds of hyperglycemia (odds ratio (OR) 2.09 (1.57-2.78), p< 0.01), severe hyperglycemia (OR 1.82 (1.02-3.24), p=0.04), and lower risk for severe hypoglycemia (OR 0.24 (0.07-0.81), p=0.02). Corticosteroid use was associated with greater risk of hyperglycemia (OR 3.04 (2.31-3.99), p< 0.01) and severe hyperglycemia (OR 4.54 (2.59-7.95), p< 0.01), with no significant difference in hypoglycemia. COVID-19 diagnosis was associated with greater hyperglycemia (OR 1.49 (1.11-2), p=0.007) and hypoglycemia (OR 3.93 (1.32-11.73), p=0.01). CONCLUSION(S): In our quality improvement analysis, dysglycemia was found to be more prevalent in patients with corticosteroid use, history of diabetes and patients with a COVID-19 diagnosis. Larger studies would be beneficial to confirm these results.

COVID-19 Vaccine-Induced Rapid Progression of Prediabetes to Ketosis-Prone Diabetes Mellitus in an Elderly Male.

Studies show a low progression rate of prediabetes to Type 2 diabetes mellitus (DM) that we commonly seek to reverse, but we don't associate prediabetes as a lead-up to the first presentation of ketosis. We present a prediabetic who, in less than a year, converted to GAD65 antibody-positive diabetes mellitus with a diabetic ketoacidosis presentation. A 69-year-old male presented with three weeks of fatigue, polyuria, polydipsia, abdominal pain, and weight loss. Vital signs and physical exam were normal except for abdominal tenderness and dry oral mucosa. Complete blood count (CBC) was normal; blood glucose was severely elevated with mild corrected hyponatremia; elevated anion gap metabolic acidosis with glucosuria and ketonuria. He received an insulin drip, normal saline, and potassium in the intensive care unit. His anion gap closed overnight and was switched to basal-bolus insulin. Hemoglobin A1c (HbA1c) came out to be higher than expected as compared to last year of low prediabetic value, decreased c-peptide levels, and positive anti-GAD65 antibody. His first abnormal HbA1c was 5.8% a year ago and no autoimmune marker was checked before. He was vaccinated with the messenger ribonucleic acid (mRNA) coronavirus disease 2019 (COVID-19) vaccine a year ago with an mRNA vaccine booster two months earlier. He was not COVID-19 infected. We discharged him with a basal-bolus insulin regimen. Type I DM passes from autoimmunity-positive normoglycemia to dysglycemia to the symptomatic stage, typically progressing more rapidly in children than in older adults. A new Type I or dysglycemia in Type II DM is increasingly reported after COVID-19 vaccines/infection. Mechanisms could be cytokine-mediated beta-cell damage or autoimmunity after mRNA vaccines or as a part of autoimmune syndrome induced by vaccine adjuvants. This case reports the rapid progression of prediabetes to Type 1 rather than Type 2 DM and highlights the possibility of dysglycemia after COVID-19 vaccines and calls for measures to prevent or early management of these side effects.

Dysglycemia in ICU Patients

Dysglycemia has emerged as a very common challenge in critically ill patients, especially with regard to current coronavirus disease 2019 pandemic. Prediabetes, poorly controlled diabetes, pharmaceutical intervention in intensive care unit (ICU) with glucocorticoids, catecholamines and other medicines, and stress response all contribute to dysglycemia in critically ill patients. Early identification and management are the key to prevent further complications. Patient prognosis in terms of clinical outcome, length of ICU stay, and in-hospital morbidity/mortality are adversely affected by patient's dysglycemic status. Apart from hyperglycemia, the other three important pillars of dysglycemia are discussed in this article. Synopsis of early intervention have been captured from India-specific practice guidelines. Important landmark trials have also been captured in this article to provide a clarity on certain aspects of managing dysglycemia in ICUs. Hence, this review article is an attempt to bring forth the salient aspects in diagnosing and managing dysglycemia in critical care settings.

Features of COVID-19 course in patients with obesity and dysglycemia

Aim. To study the features of coronavirus disease 2019 (COVID-19) in patients with different severity of carbohydrate metabolism disorders (CMDs), taking into account the possible role of obesity in the acceleration of clinical and laboratory disorders. Material and methods. There were 137 consecutive patients admitted to the infectious disease hospital for COVID-19 patients. Three 3 groups were formed: Group 1 — 42 patients with concomitant type 2 diabetes (T2D);group 2 — 13 patients with concomitant prediabetes;group 3 — 82 patients without concomitant CMDs. Results. Patients with T2D tended to have a more severe disease course according to the SMRT-CO algorithm (p=0,089), which was associated with the longest hospital stay (p=0,038), the most pronounced (p=0,011) and prolonged (p=0,0001) decrease in oxygen saturation, the maximum percentage of lung injury at the beginning (p=0,094) and at the end (p=0,007) of hospitalization, the greater need for intensive care unit (p=0,050), as well as the highest increase in C-reactive protein and fibrinogen (hypercoagulability and systemic inflammation were noted in all groups). Patients with prediabetes in terms of COVID-19 severity occupied an intermediate position between those with T2D and without CMDs;at the same time, they most often needed the prescription of biological preparations (p=0,001). In the first and second groups, there were larger, compared with the control, proportions of obese people (61,9%, 53,8% and 30,5%, respectively, p=0,003). Prediabetes group had a strong correlation between the severity of viral pneumonitis according to SMRT-CO and the presence of obesity (R=0,69, p=0,009). Conclusion. In patients with impaired carbohydrate metabolism of any severity, COVID-19 is more severe. At the same time, persons with overt T2D are prone to the most severe COVID-19 course, while patients with prediabetes in terms of disease severity occupy an intermediate position between them and those without CMDs. Obesity is a strong risk factor for severe COVID-19 among patients with initial CMDs (prediabetes), which is partly mediated by prior liver dysfunction associated with the metabolic syndrome. The increase in proinflammatory changes and hypercoagulability is associated with COVID-19 severity in patients with and without CMDs. These disorders had the greatest severity and persistence in patients with T2D.

Chronic dysglycemia and risk of SARS-CoV-2 associated respiratory failure in hospitalized patients.

BACKGROUND: Diabetes is common among patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-induced respiratory failure. We aimed to investigate the relationship between different stages of chronic dysglycemia and development of respiratory failure in hospitalized SARS-CoV-2 positive patients. METHODS: In this retrospective observational study, we included 385 hospitalized SARS-CoV-2 positive patients at Karolinska University Hospital, Sweden with an HbA1c test obtained within 3 months before admission. Based on HbA1c level and previous diabetes history, we classified patients into the following dysglycemia categories: prediabetes, unknown diabetes, controlled diabetes, or uncontrolled diabetes. We used multivariable logistic regression analysis adjusted for age, sex, and body mass index, to assess the association between dysglycemia categories and development of SARS-CoV-2-induced respiratory failure. RESULTS: Of the 385 study patients, 88 (22.9%) had prediabetes, 68 (17.7%) had unknown diabetes, 36 (9.4%) had controlled diabetes, and 83 (21.6%) had uncontrolled diabetes. Overall, 299 (77.7%) patients were admitted with or developed SARS-CoV-2-induced respiratory failure during hospitalization. In multivariable logistic regression analysis compared with no chronic dysglycemia, prediabetes (OR 14.41, 95% CI 5.27-39.43), unknown diabetes (OR 15.86, 95% CI 4.55-55.36), and uncontrolled diabetes (OR 17.61, 95% CI 5.77-53.74) was independently associated with increased risk of SARS-CoV-2-induced respiratory failure. CONCLUSION: In our cohort of hospitalized SARS-CoV-2 positive patients with available HbA1c data, prediabetes, undiagnosed diabetes, and poorly controlled diabetes were associated with a markedly increased risk of SARS-CoV-2-associated respiratory failure.

Coronavirus and Cardiometabolic Syndrome: JACC Focus Seminar.

The coronavirus disease 2019 (COVID-19) pandemic exposes unexpected cardiovascular vulnerabilities and the need to improve cardiometabolic health. Four cardiometabolic drivers-abnormal adiposity, dysglycemia, dyslipidemia, and hypertension-are examined in the context of COVID-19. Specific recommendations are provided for lifestyle change, despite social distancing restrictions, and pharmacotherapy, particularly for those with diabetes. Inpatient recommendations emphasize diligent and exclusive use of insulin to avert hyperglycemia in the face of hypercytokinemia and potential islet cell injury. Continuation of statins is advised, but initiating statin therapy to treat COVID-19 is as yet unsubstantiated by the evidence. The central role of the renin-angiotensin system is discussed. Research, knowledge, and practice gaps are analyzed with the intent to motivate prompt action. An emerging model of COVID-related cardiometabolic syndrome encompassing events before, during the acute phase, and subsequently in the chronic phase is presented to guide preventive measures and improve overall cardiometabolic health so future viral pandemics confer less threat.