COVID-19 and diabetes - where are we now?

Impact of Pre-Existing Comorbidities and Multimorbidities, Demography and Viral Variants on Post-Acute Sequelae of COVID-19 ('Long COVID') in Dutch Primary Care: A Retrospective Cohort Study

INTRODUCTION

Post-acute sequelae of COVID-19 (PASC), or Long COVID, involves persistent symptoms following acute infection, posing a global health challenge. While a growing number of studies have investigated potential predictors and risk factors, uncertainties remain regarding their consistency and clinical applicability. This study investigates PASC prevalence, comorbidities, demographics, and viral variants using Dutch primary care electronic healthcare records (EHR).

METHODS

A retrospective cohort study used EHR data from 59 general practices in northern Netherlands, including 19,638 SARS-CoV-2 PCR-positive patients from January 1, 2020, to December 31, 2021. PASC was identified via WHO and CDC guidelines, a Dutch Word2Vec model, and clinical assessments. Relative risk (RR) calculations analyzed comorbidities, demographics, and viral variants.

RESULTS

PASC prevalence was 5.8% (CI95%: 5.4-6.1%). Comorbidities significantly increasing PASC risk included lung disease (RR: 1.95), cardiovascular disease (RR: 1.73), diabetes (RR: 1.82), kidney disease (RR: 1.98), and mental illness (RR: 1.29). Females and individuals aged ≥45 had increased risk. Multivariate regression revealed higher odds of prolonged PASC for ages 45-59 (AOR: 3.02), 60-74 (AOR: 3.25), and 75+ (AOR: 2.44). Combined mental illness and lung disease further increased risk (AOR: 2.55).

CONCLUSION

Chronic conditions, multimorbidity, and demographics significantly influence PASC onset and duration. Targeted interventions may mitigate its long-term impact.

Reevaluating diabetes and COVID-19 outcomes using national-level data

PURPOSE

Using a US nationally representative survey of adults, we aimed to evaluate the association between prevalent diabetes and the uptake of COVID-19 testing, rate of positive testing and symptom severity.

METHODS

Data were sourced from the 2020-2021 National Health Interview Survey. COVID-19 outcomes were defined as: (1) test uptake (2) test positivity (3) diagnosis of COVID-19 and (4) severe disease symptoms with a positive COVID-19 test result. We compared the prevalence of COVID-19 outcomes by diabetes status and examined their associations using multivariate adjusted logistic and ordered logistic regression models.

RESULTS

The prevalence of test uptake and test positivity were 50.7 % and 9.4 % in the US population, respectively. 10.3 % were diagnosed with COVID-19 infection by health professionals. There were no statistically significant differences in the outcomes by diabetes status. However, individuals with diabetes were more likely to have severe symptoms. In adjusted regression model, we found no significant associations of diagnosed diabetes with all outcomes.

CONCLUSIONS

Our findings contrast with prior evidence derived from hospitalized patients. Researchers and policy makers are encouraged to review the properties of data sources and their impact on public health recommendations, particularly in response to future pandemics.

Genetic signatures of AKT1 variants associated with worse COVID-19 outcomes - a multicentric observational study

Introduction

The COVID-19, triggered by the SARS-CoV-2 virus, has varied clinical manifestations, ranging from mild cases to severe forms such as fatal pneumonia and acute respiratory distress syndrome (ARDS). Disease severity is influenced by an exacerbated immune response, characterized by high pro-inflammatory cytokine levels. Inhibition of AKT can potentially suppress pathological inflammation, cytokine storm and platelet activation associated with COVID-19. In this study, we aimed to investigate the rs2494746 and rs1130214 variants in the AKT1 gene associated with severe COVID-19 outcomes.

Methods

Peripheral blood samples and sociodemographic data from 508 individuals with COVID-19, measuring plasma cytokine concentrations using ELISA and genotyped the AKT1 variants.

Results

The rs2494746-C allele was associated with severity, ICU admission, and death from COVID-19. The C allele at rs1130214 was linked to increased TNF and D-dimer levels. Moreover, both variants exhibited an increased cumulative risk of disease severity, ICU admission, and mortality caused by COVID-19. In the predictive analysis, the rs2494746 obtained an accuracy of 71%, suggesting a high probability of the test determining the severity of the disease.

Discussion

Our findings contribute to understanding the influence of the AKT1 gene variants on the immunological damage in individuals infected with SARS-CoV-2.

Influenza Infection and Acute Myocardial Infarction

BACKGROUND

Acute respiratory infections can trigger acute myocardial infarction. We aimed to quantify the association between laboratory-confirmed influenza infection and acute myocardial infarction, particularly in patients with and without known coronary artery disease.

METHODS

This observational, registry-based, self-controlled case series study evaluated the association between laboratory-confirmed influenza infection and occurrence of acute myocardial infarction. Laboratory records on respiratory virus polymerase chain reaction (PCR) testing from 16 laboratories across the Netherlands were linked to national mortality, hospitalization, medication, and administrative registries. Influenza infection was defined as a positive PCR test result. Acute myocardial infarction was defined as a registered diagnostic code for either acute myocardial infarction hospitalization or death. Using a self-controlled case series method, we then compared the incidence of acute myocardial infarction during the risk period (days 1 to 7 after influenza infection) versus the control period (1 year before and 51 weeks after the risk period).

RESULTS

Between 2008 and 2019, we identified 158,777 PCR tests for influenza in the study population; 26,221 were positive for influenza, constituting 23,405 unique influenza illness episodes. A total of 406 episodes were identified with acute myocardial infarction occurring within 1 year before and 1 year after confirmed influenza infection and were included in analysis. Twenty-five cases of acute myocardial infarction occurred during the risk period versus 394 during the control period. The adjusted relative incidence of acute myocardial infarction during the risk period compared with the control period was 6.16 (95% confidence interval [CI], 4.11 to 9.24). The relative incidence of acute myocardial infarction in individuals without prior hospitalization for coronary artery disease was 16.60 (95% CI, 10.45 to 26.37) compared with 1.43 (95% CI, 0.53 to 3.84) for those with prior admission for coronary artery disease.

CONCLUSIONS

Influenza infection was associated with an increased risk of acute myocardial infarction, especially in individuals without a prior hospitalization for coronary artery disease. (Funded by the Dutch Research Council [NWO].).

Population Trends of New Prescriptions for Antihyperglycemics and Antihypertensives Between 2014 and 2022

BACKGROUND

In the wake of pandemic-related health decline and health care disruptions, there are concerns that previous gains for cardiovascular risk factors may have stalled or reversed. Population-level excess burden of drug-treated diabetes and hypertension during the pandemic compared with baseline is not well characterized. We evaluated the change in incident prescription claims for antihyperglycemics and antihypertensives before versus during the pandemic.

METHODS AND RESULTS

In this retrospective, serial, cross-sectional, population-based study, we used interrupted time series analyses to examine changes in the age- and sex-standardized monthly rate of incident prescriptions for antihyperglycemics and antihypertensives in patients aged ≥66 years in Ontario, Canada, before the pandemic (April 2014 to March 2020) compared with during the pandemic (July 2020 to November 2022). Incident claim was defined as the first prescription filled for any medication in these classes. The characteristics of patients with incident prescriptions of antihyperglycemics (n=151 888) or antihypertensives (n=368 123) before the pandemic were comparable with their pandemic counterparts (antihyperglycemics, n=97 015; antihypertensives, n=146 524). Before the pandemic, monthly rates of incident prescriptions were decreasing (-0.03 per 10 000 individuals [95% CI, -0.04 to -0.01] for antihyperglycemics; -0.14 [95% CI, -0.18 to -0.10] for antihypertensives). After July 2020, monthly rates increased (postinterruption trend 0.31 per 10 000 individuals [95% CI, 0.28-0.34] for antihyperglycemics; 0.19 [95% CI, 0.14-0.23] for antihypertensives).

CONCLUSIONS

Population-level increases in new antihyperglycemic and antihypertensive prescriptions during the pandemic reversed prepandemic declines and were sustained for >2 years. Our findings are concerning for current and future cardiovascular health.

Spatiotemporal association between COVID-19 incidence and type 1 diabetes incidence among children and adolescents: a register-based ecological study in Germany

Objective

Studies have shown an increased incidence of pediatric type 1 diabetes during the COVID-19 pandemic, but the detailed role of SARS-CoV-2 infection in the incidence increase in type 1 diabetes remains unclear. We investigated the spatiotemporal association of pediatric type 1 diabetes and COVID-19 incidence at the district level in Germany.

Methods

For the period from March 2020 to June 2022, nationwide data on incident type 1 diabetes among children and adolescents aged <20 years and daily documented COVID-19 infections in the total population were obtained from the German Diabetes Prospective Follow-up Registry and the Robert Koch Institute, respectively. Data were aggregated at district level and seven time periods related to COVID-19 pandemic waves. Spatiotemporal associations between indirectly standardized incidence rates of type 1 diabetes and COVID-19 were analyzed by Spearman correlation and Bayesian spatiotemporal conditional autoregressive Poisson models.

Results

Standardized incidence ratios of type 1 diabetes and COVID-19 in the pandemic period were not significantly correlated across districts and time periods. A doubling of the COVID-19 incidence rate was not associated with a significant increase in the incidence rate of type 1 diabetes (relative risk 1.006, 95% CI 0.987; 1.019).

Conclusion

Our findings based on data from the pandemic period indirectly indicate that a causal relationship between SARS-COV-2 infection and type 1 diabetes among children and adolescents is unlikely.

Incidence of Diabetes in Children and Adolescents During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

Importance

There are reports of increasing incidence of pediatric diabetes since the onset of the COVID-19 pandemic. Given the limitations of individual studies that examine this association, it is important to synthesize estimates of changes in incidence rates.

Objective

To compare the incidence rates of pediatric diabetes during and before the COVID-19 pandemic.

Data Sources

In this systematic review and meta-analysis, electronic databases, including Medline, Embase, the Cochrane database, Scopus, and Web of Science, and the gray literature were searched between January 1, 2020, and March 28, 2023, using subject headings and text word terms related to COVID-19, diabetes, and diabetic ketoacidosis (DKA).

Study Selection

Studies were independently assessed by 2 reviewers and included if they reported differences in incident diabetes cases during vs before the pandemic in youths younger than 19 years, had a minimum observation period of 12 months during and 12 months before the pandemic, and were published in English.

Data Extraction and Synthesis

From records that underwent full-text review, 2 reviewers independently abstracted data and assessed the risk of bias. The Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guideline was followed. Eligible studies were included in the meta-analysis and analyzed with a common and random-effects analysis. Studies not included in the meta-analysis were summarized descriptively.

Main Outcomes and Measures

The primary outcome was change in the incidence rate of pediatric diabetes during vs before the COVID-19 pandemic. The secondary outcome was change in the incidence rate of DKA among youths with new-onset diabetes during the pandemic.

Results

Forty-two studies including 102 984 incident diabetes cases were included in the systematic review. The meta-analysis of type 1 diabetes incidence rates included 17 studies of 38 149 youths and showed a higher incidence rate during the first year of the pandemic compared with the prepandemic period (incidence rate ratio [IRR], 1.14; 95% CI, 1.08-1.21). There was an increased incidence of diabetes during months 13 to 24 of the pandemic compared with the prepandemic period (IRR, 1.27; 95% CI, 1.18-1.37). Ten studies (23.8%) reported incident type 2 diabetes cases in both periods. These studies did not report incidence rates, so results were not pooled. Fifteen studies (35.7%) reported DKA incidence and found a higher rate during the pandemic compared with before the pandemic (IRR, 1.26; 95% CI, 1.17-1.36).

Conclusions and Relevance

This study found that incidence rates of type 1 diabetes and DKA at diabetes onset in children and adolescents were higher after the start of the COVID-19 pandemic than before the pandemic. Increased resources and support may be needed for the growing number of children and adolescents with diabetes. Future studies are needed to assess whether this trend persists and may help elucidate possible underlying mechanisms to explain temporal changes.

COVID-19, the escalation of diabetes mellitus and the repercussions on tuberculosis

The COVID-19 pandemic has significantly disrupted global tuberculosis (TB) control efforts. The mobilization of healthcare resources and personnel to combat the pandemic, and the nationwide lockdown measures resulted in an accumulation of a large number of undiagnosed TB cases. Exacerbating the situation, recent meta-analyses showed that COVID-19-induced diabetes mellitus (DM) is on the increase. DM is an established risk factor for TB disease and worsens outcomes. Patients with concurrent DM and TB had more lung cavitary lesions, and are more likely to fail TB treatment and suffer disease relapse. This may pose a significant challenge to TB control in low- and middle-income countries where a high TB burden is found. There is a need to step up the efforts to end the TB epidemic, which include increased screening for DM among patients with TB, optimizing glycemic control among patients with TB-DM, and intensifying TB-DM research to improve treatment outcomes for patients with TB-DM.