Noninsulin-based antihyperglycemic medications in patients with diabetes and COVID-19: A systematic review and meta-analysis.

BACKGROUND: Patients with diabetes are more likely to suffer COVID-19 complications. Using noninsulin antihyperglycemic medications (AGMs) during COVID-19 infection has proved challenging. In this study, we evaluate different noninsulin AGMs in patients with COVID-19. METHODS: We searched Medline, Embase, Web of Science, and Cochrane on 24 January 2022. We used the following keywords (COVID-19) AND (diabetes mellitus) AND (antihyperglycemic agent). The inclusion criteria were studies reporting one or more of the outcomes. We excluded non-English articles, case reports, and literature reviews. Study outcomes were mortality, hospitalization, and intensive care unit (ICU) admission. RESULTS: The use of metformin rather than other glucose-lowering medications was associated with statistically significant lower mortality (risk ratio [RR]: 0.60, 95% confidence interval [CI]: 0.47, 0.77, p < .001). Dipeptidyl peptidase-4 inhibitor (DPP-4i) use was associated with statistically significantly higher hospitalization risk (RR: 1.44, 95% CI: 1.23, 1.68, p < .001) and higher risk of ICU admissions and/or mechanical ventilation vs nonusers (RR: 1.24, 95% CI: 1.04, 1.48, p < .02). There was a statistically significant decrease in hospitalization for SGLT-2i users vs nonusers (RR: 0.89, 95% CI: 0.84-0.95, p < .001). Glucagon-like peptide-1 receptor agonist (GLP-1RA) use was associated with a statistically significant decrease in mortality (RR: 0.56, 95% CI: 0.42, 073, p < 0.001), ICU admission, and/or mechanical ventilation (RR: 0.79, 95% CI: 0.69-0.89, p < .001), and hospitalization (RR: 0.73, 95% CI: 0.54, 0.98, p = .04). CONCLUSIONS: AGM use was not associated with increased mortality. However, metformin and GLP-1RA use reduced mortality risk statistically significantly. DPP-4i use was associated with a statistically significant increase in the risk of hospitalization and admission to the ICU.

Effects of mobile health interventions on health-related outcomes in older adults with type 2 diabetes: A systematic review and meta-analysis.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic metabolic condition that is associated with multiple comorbidities. Apart from pharmacological approaches, patient self-management remains the gold standard of care for diabetes. Improving patients' self-management among the elderly with mobile health (mHealth) interventions is critical, especially in times of the COVID-19 pandemic. However, the extent of mHealth efficacy in managing T2DM in the older population remains unknown. Hence, the present review examined the effectiveness of mHealth interventions on cardiometabolic outcomes in older adults with T2DM. METHODS: A systematic search from the inception till May 31, 2021, in the MEDLINE, Embase, and PubMed databases was conducted, and 16 randomized controlled trials were included in the analysis. RESULTS: The results showed significant benefits on glycosylated hemoglobin (HbA1c) (mean difference -0.24%; 95% confidence interval [CI]: -0.44, -0.05; p = 0.01), postprandial blood glucose (-2.91 mmol/L; 95% CI: -4.78, -1.03; p = 0.002), and triglycerides (-0.09 mmol/L; 95% CI: -0.17, -0.02; p = 0.010), but not on low-density lipoprotein cholesterol (-0.06 mmol/L; 95% CI: -0.14, 0.02; p = 0.170), high-density lipoprotein cholesterol (0.05 mmol/L; 95% CI: -0.03, 0.13; p = 0.220), and blood pressure (systolic blood pressure -0.82 mm Hg; 95% CI: -4.65, 3.00; p = 0.670; diastolic blood pressure -1.71 mmHg; 95% CI: -3.71, 0.29; p = 0.090). CONCLUSIONS: Among older adults with T2DM, mHealth interventions were associated with improved cardiometabolic outcomes versus usual care. Its efficacy can be improved in the future as the current stage of mHealth development is at its infancy. Addressing barriers such as technological frustrations may help strategize approaches to further increase the uptake and efficacy of mHealth interventions among older adults with T2DM.

Type 1 diabetes mellitus and SARS-CoV-2 in pediatric and adult patients - Data from the DPV network.

BACKGROUND: Data on patients with type 1 diabetes mellitus (T1DM) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections are sparse. This study aimed to investigate the association between SARS-CoV-2 infection and T1DM. METHODS: Data from the Prospective Diabetes Follow-up (DPV) Registry were analyzed for diabetes patients tested for SARS-CoV-2 by polymerase chain reaction (PCR) in Germany, Austria, Switzerland, and Luxembourg during January 2020-June 2021, using Wilcoxon rank-sum and chi-square tests for continuous and dichotomous variables, adjusted for multiple testing. RESULTS: Data analysis of 1855 pediatric T1DM patients revealed no differences between asymptomatic/symptomatic infected and SARS-CoV-2 negative/positive patients regarding age, new-onset diabetes, diabetes duration, and body mass index. Glycated hemoglobin A1c (HbA1c) and diabetic ketoacidosis (DKA) rate were not elevated in SARS-CoV-2-positive vs. -negative patients. The COVID-19 manifestation index was 37.5% in individuals with known T1DM, but 57.1% in individuals with new-onset diabetes. 68.8% of positively tested patients were managed as outpatients/telemedically. Data analysis of 240 adult T1MD patients revealed no differences between positively and negatively tested patients except lower HbA1c. Of these patients, 83.3% had symptomatic infections; 35.7% of positively tested patients were hospitalized. CONCLUSIONS: Our results indicate low morbidity in SARS-CoV-2-infected pediatric T1DM patients. Most patients with known T1DM and SARS-CoV-2 infections could be managed as outpatients. However, SARS-CoV-2 infection was usually symptomatic if it coincided with new-onset diabetes. In adult patients, symptomatic SARS-CoV-2 infection and hospitalization were associated with age.

Gestational diabetes mellitus in the COVID-19 pandemic: A retrospective study from Hangzhou, China.

AIMS: Our study aimed to investigate changes in the prevalence of gestational diabetes mellitus (GDM) in the COVID-19 pandemic and postpandemic era and the risk of adverse pregnancy outcomes in pregnant women diagnosed with GDM during the blockade period. METHODS: First, we investigated changes in the prevalence of GDM and the population undergoing oral glucose tolerance tests (OGTT) after the COVID-19 pandemic. We then collected clinical information from pregnant women diagnosed with GDM to explore the risk of adverse pregnancy outcomes in pregnant women with GDM during the COVID-19 pandemic. RESULTS: After the COVID-19 pandemic, the proportion of pregnant women in the total number of outpatient OGTT tests decreased yearly. The ratio was 81.30%, 79.71%, and 75.48% from 2019 to 2021, respectively, with the highest proportion of pregnant women in February 2020 (92.03%). The prevalence of GDM was higher in March 2020 compared to the same period in 2019. However, from 2019 to 2021, the prevalence decreased year by year with 21.46%, 19.81%, and 18.48%, respectively. The risk of adverse pregnancy outcomes for pregnant women diagnosed with GDM during the most severe period of the COVID-19 pandemic did not differ from before the COVID-19 pandemic. CONCLUSIONS: After the COVID-19 pandemic, the prevalence of GDM increased during the most severe period of the epidemic, but the overall prevalence of GDM decreased year by year. In addition, the pandemic did not change the risk of adverse pregnancy outcomes in pregnant women with GDM.

Impact of SARS-CoV2 on youth onset type 2 diabetes new diagnoses and severity.

INTRODUCTION: Initial reports show an increase in youth onset type 2 diabetes during the COVID-19 pandemic. We aim to expand on existing evidence by analyzing trends over a longer period. OBJECTIVES: Our study aims to describe change in the amount, severity, and demographics of youth onset type 2 diabetes diagnoses during the COVID-19 pandemic compared to the five years before. METHODS: We performed a retrospective cross-sectional review of youth (age ≤ 21) diagnosed with type 2 diabetes during the COVID-19 pandemic (1 May 2020-30 April 2021) and the five years before (1 May 2015-30 April 2020) at a tertiary care center. Children were identified by International Classification of Diseases codes. Charts were reviewed to confirm diagnosis. Chi-square, t tests, and Fisher's exact tests were used for analyses. RESULTS: In the prepandemic era annual diagnoses of type 2 diabetes ranged from 41-69 (mean = 54.2), whereas during the pandemic period 159 children were diagnosed, an increase of 293%. The increase resulted in a higher incidence rate ratio during the pandemic than before, 2.77 versus 1.07 (p = .006). New diagnoses increased most, by 490%, in Non-Hispanic Black patients. The average HbA1c at presentation was higher during the pandemic (9.5% ± 2.6) (79.9 mmol/mol ± 28.2) than before (8.7%±2.1) (72.1 mmol/mol ± 23.1) (p = .003). Of those diagnosed during the pandemic, 59% were tested for COVID-19 and three tested positive. CONCLUSIONS: New diagnoses of type 2 diabetes increased during the pandemic, most notably in Non-Hispanic Black youth. There was not a significant correlation found with clinical or biochemical COVID-19 infection in those tested.

Prevalence and impact of diabetes in hospitalized COVID-19 patients: A systematic review and meta-analysis.

BACKGROUND: Diabetes is a cardiometabolic comorbidity that may predispose COVID-19 patients to worse clinical outcomes. This study sought to determine the prevalence of diabetes in hospitalized COVID-19 patients and investigate the association of diabetes severe COVID-19, rate of acute respiratory distress syndrome (ARDS), mortality, and need for mechanical ventilation by performing a systematic review and meta-analysis. METHODS: Individual studies were selected using a defined search strategy, including results up until July 2021 from PubMed, Embase, and Cochrane Central Register of Controlled Trials. A random-effects meta-analysis was performed to estimate the proportions and level of association of diabetes with clinical outcomes in hospitalized COVID-19 patients. Forest plots were generated to retrieve the odds ratios (OR), and the quality and risk assessment was performed for all studies included in the meta-analysis. RESULTS: The total number of patients included in this study was 10 648, of whom 3112 had diabetes (29.23%). The overall pooled estimate of prevalence of diabetes in the meta-analysis cohort was 31% (95% CI, 0.25-0.38; z = 16.09, P < .0001). Diabetes significantly increased the odds of severe COVID-19 (OR 3.39; 95% CI, 2.14-5.37; P < .0001), ARDS (OR 2.55; 95% CI, 1.74-3.75; P = <.0001), in-hospital mortality (OR 2.44; 95% CI, 1.93-3.09; P < .0001), and mechanical ventilation (OR 3.03; 95% CI, 2.17-4.22; P < .0001). CONCLUSIONS: Our meta-analysis demonstrates that diabetes is significantly associated with increased odds of severe COVID-19, increased ARDS rate, mortality, and need for mechanical ventilation in hospitalized patients. We also estimated an overall pooled prevalence of diabetes of 31% in hospitalized COVID-19 patients.

Diabetic ketoacidosis drives COVID-19 related hospitalizations in children with type 1 diabetes.

BACKGROUND: Diabetes is a risk factor for poor COVID-19 outcomes, but pediatric patients with type 1 diabetes are poorly represented in current studies. METHODS: T1D Exchange coordinated a US type 1 diabetes COVID-19 registry. Forty-six diabetes centers submitted pediatric cases for patients with laboratory confirmed COVID-19. Associations between clinical factors and hospitalization were tested with Fisher's Exact Test. Logistic regression was used to calculate odds ratios for hospitalization. RESULTS: Data from 266 patients with previously established type 1 diabetes aged <19 years with COVID-19 were reported. Diabetic ketoacidosis (DKA) was the most common adverse outcome (n = 44, 72% of hospitalized patients). There were four hospitalizations for severe hypoglycemia, three hospitalizations requiring respiratory support (one of whom was intubated and mechanically ventilated), one case of multisystem inflammatory syndrome in children, and 10 patients who were hospitalized for reasons unrelated to COVID-19 or diabetes. Hospitalized patients (n = 61) were more likely than nonhospitalized patients (n = 205) to have minority race/ethnicity (67% vs 39%, P < 0.001), public insurance (64% vs 41%, P < 0.001), higher A1c (11% [97 mmol/mol] vs 8.2% [66 mmol/mol], P < 0.001), and lower insulin pump and lower continuous glucose monitoring use (26% vs 54%, P < 0.001; 39% vs 75%, P < 0.001). Age and gender were not associated with risk of hospitalization. Higher A1c was significantly associated with hospitalization, with an odds ratio of 1.56 (1.34-1.84) after adjusting for age, gender, insurance, and race/ethnicity. CONCLUSIONS: Higher A1c remained the only predictor for hospitalization with COVID-19. Diabetic ketoacidosis is the primary concern among this group.

Clinical characteristics and outcomes of COVID-19 in patients with type 2 diabetes in Turkey: A nationwide study (TurCoviDia).

BACKGROUND: Coronavirus disease 2019 (COVID-19) has been reported to be associated with a more severe course in patients with type 2 diabetes mellitus (T2DM). However, severe adverse outcomes are not recorded in all patients. In this study, we assessed disease outcomes in patients with and without T2DM hospitalized for COVID-19. METHODS: A nationwide retrospective cohort of patients with T2DM hospitalized with confirmed COVID-19 infection from 11 March to 30 May 2020 in the Turkish Ministry of Health database was investigated. Multivariate modeling was used to assess the independent predictors of demographic and clinical characteristics with mortality, length of hospital stay, and intensive care unit (ICU) admission and/or mechanical ventilation. RESULTS: A total of 18 426 inpatients (median age [interquartile range, IQR]: 61 [17] years; males: 43.3%) were investigated. Patients with T2DM (n = 9213) were compared with a group without diabetes (n = 9213) that were matched using the propensity scores for age and gender. Compared with the group without T2DM, 30-day mortality following hospitalization was higher in patients with T2DM (13.6% vs 8.7%; hazard ratio 1.75; 95% CI, 1.58-1.93; P < .001). The independent associates of mortality were older age, male gender, obesity, insulin treatment, low lymphocyte count, and pulmonary involvement on admission. Older age, low lymphocyte values, and pulmonary involvement at baseline were independently associated with longer hospital stay and/or ICU admission. CONCLUSIONS: The current study from the Turkish national health care database showed that patients with T2DM hospitalized for COVID-19 are at increased risk of mortality, longer hospital stay, and ICU admission.

Factors leading to high morbidity and mortality of COVID-19 in patients with type 2 diabetes.

Coronavirus disease 2019 (COVID-19) is a recent pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus. Diabetes (mostly type 2 diabetes mellitus, T2DM) and hyperglycemia are among the major comorbidities in patients with COVID-19 leading to poor outcomes. Reports show that patients with diabetes and COVID-19 are at an increased risk for developing severe complications including acute respiratory distress syndrome, multi-organ failure, and death. Here we explore potential mechanistic links that could explain the observed higher morbidity and mortality in this patient population. Patients with T2DM have an underlying increased level of inflammation associated with obesity and insulin resistance in addition to other comorbidities including hypertension, obesity, cardiovascular disease, dyslipidemia, and being older. We review evidence that T2DM with hyperglycemia are among factors that lead to elevated expression of angiotensin-converting enzyme 2 (ACE2) in lungs and other tissues; ACE2 is the cellular "receptor" and port of viral entry. The preexisting chronic inflammation with augmented inflammatory response to the infection and the increasing viral load leads to extreme systemic immune response ("cytokine storm") that is strongly associated with increased severity of COVID-19. Based on the available evidence, it is recommended by a panel of experts that safe but stringent control of blood glucose, blood pressure, and lipids be carried out in patients with T2DM, measures that could potentially serve to decrease the severity of COVID-19 should these patients contract the viral infection. Once the infection occurs, then attention should be directed to proper glycemic control with use of insulin and frequent monitoring of blood glucose levels.

Determinants of mental health outcomes among people with and without diabetes during the COVID-19 outbreak in the Arab Gulf Region.

AIMS: To determine the prevalence and factors associated with depression and anxiety among people with and without diabetes during the coronavirus disease 2019 (COVID-19) outbreak. METHODS: A cross-sectional questionnaire-based study collecting demographic and mental health data from 2166 participants living in the Arab Gulf region (568 with diabetes, 1598 without diabetes). Depression and anxiety were assessed using the 9-item Patient Health Questionnaire and the 7-item Generalized Anxiety Disorder scale, respectively. RESULTS: The prevalence of depression and anxiety symptoms were 61% and 45%, in people with diabetes (PWD) and 62% and 44%, respectively, in people without diabetes. PWD who have had their diabetes visit canceled by the clinic were more likely to report depression and anxiety symptoms than those without diabetes (odds ratio [95% confidence interval]: 1.37 [1.02, 1.84] and 1.37 [1.04, 1.80], for depression and anxiety; respectively). PWD who had no method of telecommunication with their health care providers (HCP) during the pandemic, PWD with A1C of ≥ 10%, women, employees (particularly HCPs), students, unmarried individuals, and those with lower income were more likely to report depression and/or anxiety symptoms (all P < 0.01). Fear of acquiring the coronavirus infection; running out of diabetes medications; or requiring hospitalization for hypoglycemia, hyperglycemia, or diabetic ketoacidosis; and lack of telecommunication with HCPs were all associated with significantly higher odds of having depression and anxiety symptoms among PWD. CONCLUSIONS: The remarkably high prevalence of depression and anxiety symptoms during the COVID-19 pandemic, particularly among subgroups of PWD, calls for urgent public health policies to address mental health during the pandemic and reestablish health care access for PWD.

The potential effects of clinical antidiabetic agents on SARS-CoV-2.

BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is currently posing significant threats to public health worldwide. It is notable that a substantial proportion of patients with sever COVID-19 have coexisting diabetic conditions, indicating the progression and outcome of COVID-19 may relate to diabetes. However, it is still unclear whether diabetic treatment principles can be used for the treatment of COVID-19. METHODS: We conducted a computational approach to screen all commonly used clinical oral hypoglycemic drugs to identify the potential inhibitors for the main protease (Mpro ) of SARS-CoV-2, which is one of the key drug targets for anti-COVID-19 drug discovery. RESULTS: Six antidiabetic drugs with docking scores higher than 8.0 (cutoff value), including repaglinide, canagliflozin, glipizide, gliquidone, glimepiride, and linagliptin, were predicted as the promising inhibitors of Mpro . Interestingly, repaglinide, one of the six antidiabetic drugs with the highest docking score for Mpro , was similar to a previously predicted active molecule nelfinavir, which is a potential anti-HIV and anti-COVID-19 drug. Moreover, we found repaglinide shared similar docking pose and pharmacophores with a reported ligand (N3 inhibitor) and nelfinavir, demonstrating that repaglinide would interact with Mpro in a similar way. CONCLUSION: These results indicated that these six antidiabetic drugs may have an extra effect on the treatment of COVID-19, although further studies are necessary to confirm these findings.

Clinical characteristics and outcomes of coronavirus disease 2019 infections among diabetics: A retrospective and multicenter study in China.

BACKGROUND: Coronavirus disease 2019 (COVID-19) emerged in December 2019 and has spread globally. Diabetics are at increased risk of infections caused by a variety of pathogens including viruses. The present research aims to describe clinical characteristics and outcomes of COVID-19 patients with diabetes. METHODS: A retrospective multicenter study of COVID-19 patients with diabetes was conducted in four hospitals in Wuhan, Shanghai, and Anhui Province. Reverse transcription polymerase chain reaction or next-generation sequencing was carried out to confirm the existence of severe acute respiratory syndrome coronavirus 2 from respiratory specimens. RESULTS: A total of 54 diabetics (10.36%) were recruited from among 521 COVID-19 patients, with a median age of 63 (interquartile range, 52-70) years. Among them, 51 had been previously diagnosed with diabetes and 3 had been newly diagnosed based on glycosylated hemoglobin over 6.5%. For COVID-19, 47 of the 54 patients had an exposure history. Fever (47/54, 87.04%), dry cough (36/54, 66.67%), and expectoration (21/53, 39.62%) were among the top three symptoms. Lung infiltration was bilateral (46/52, 88.46%) and multilobe (47/52, 90.38%), and ground-glass opacity (36/37, 97.30%) was the most common pattern in radiological images. Moreover, COVID-19 patients with diabetes were prone to be classified as severe or critical cases (46.30%, 25/54) and had complications such as acute lung injury, acute respiratory distress syndrome, and acute kidney injury. The proportions of intensive care unit (ICU) admissions and deaths among the COVID-19 diabetics were 14.81% (8/54) and 12.96% (7/54), respectively. CONCLUSIONS: With older age, diabetics diagnosed as having COVID-19 were prone to develop into severe cases and exhibited a high rate of ICU admission and mortality.

Diabetes mellitus association with coronavirus disease 2019 (COVID-19) severity and mortality: A pooled analysis.

Highlights There are ~ 2-fold increased odds of severe coronavirus disease 2019 (COVID-19) and a ~ 2-fold increased risk of odds of mortality in patients with history of diabetes mellitus compared to those without diabetes mellitus. Patients with a history of diabetes mellitus should be closely monitored if they get infected with COVID-19. Results of meta-analysis showing association of diabetes mellitus with severity (Panel A) of disease and mortality (Panel B) in coronavirus disease 2019 (COVID-19) patients.

The impact of type 2 diabetes and its management on the prognosis of patients with severe COVID-19.

BACKGROUND: Although type 2 diabetes mellitus (T2DM) patients with coronavirus disease 2019 (COVID-19) develop a more severe condition compared to those without diabetes, the mechanisms for this are unknown. Moreover, the impact of treatment with antihyperglycemic drugs and glucocorticoids is unclear. METHODS: From 1584 COVID-19 patients, 364 severe/critical COVID-19 patients with clinical outcome were enrolled for the final analysis, and patients without preexisting T2DM but elevated glucose levels were excluded. Epidemiological data were obtained and clinical status evaluation carried out to assess the impact of T2DM and its management on clinical outcomes. RESULTS: Of 364 enrolled severe COVID-19 inpatients, 114 (31.3%) had a history of T2DM. Twenty-seven (23.7%) T2DM patients died, who had more severe inflammation, coagulation activation, myocardia injury, hepatic injury, and kidney injury compared with non-DM patients. In severe COVID-19 patients with T2DM, we demonstrated a higher risk of all-cause fatality with glucocorticoid treatment (adjusted hazard ratio [HR], 3.61; 95% CI, 1.14-11.46; P = .029) and severe hyperglycemia (fasting plasma glucose ≥11.1 mmol/L; adjusted HR, 11.86; 95% CI, 1.21-116.44; P = .034). CONCLUSIONS: T2DM status aggravated the clinical condition of COVID-19 patients and increased their critical illness risk. Poor fasting blood glucose (≥ 11.1 mmol/L) and glucocorticoid treatment are associated with poor prognosis for T2DM patients with severe COVID-19.

Antihyperglycemic properties of hydroxychloroquine in patients with diabetes: Risks and benefits at the time of COVID-19 pandemic.

The antimalarial drug hydroxychloroquine (HCQ) has long been used as a disease-modifying antirheumatic drug for the treatment of several inflammatory rheumatic diseases. Over the last three decades, various studies have shown that HCQ also plays a role in the regulation of glucose homeostasis. Although the mechanisms of action underlying the glucose-lowering properties of HCQ are still not entirely clear, evidence suggests that this drug may exert multifaceted effects on glucose regulation, including improvement of insulin sensitivity, increase of insulin secretion, reduction of hepatic insulin clearance, and reduction of systemic inflammation. Preliminary studies have shown the safety and efficacy of HCQ (at a dose ranging from 400 to 600 mg/day) in patients with type 2 diabetes over a short-term period. In 2014, HCQ has been approved in India as an add-on hypoglycemic agent for patients with uncontrolled type 2 diabetes. However, large randomized controlled trials are needed to establish the safety and efficacy profile of HCQ in patients with type 2 diabetes over a long-term period. With regard to the COVID-19 pandemic, several medications (including HCQ) have been used as off-label drugs because of the lack of proven effective therapies. However, emerging evidence shows limited benefit from HCQ use in COVID-19 in general. The aim of this manuscript is to comprehensively summarize the current knowledge on the antihyperglycemic properties of HCQ and to critically evaluate the potential risks and benefits related to HCQ use in patients with diabetes, even in light of the current pandemic scenario.