COVID-19 associated with diabetes and other noncommunicable diseases led to a global health crisis

Self-management challenges of adults with type 2 diabetes mellitus in Ekurhuleni district primary health care facilities amid COVID-19 lockdown

BACKGROUND

 Self-management is highly recommended in managing type 2 diabetes mellitus (T2DM). Amid the coronavirus disease 2019 (COVID-19) lockdown, many restrictions were imposed, which might have affected the continuum of care and self-management. However, little is known about how people with T2DM experienced self-management during COVID-19 lockdown within the primary health care (PHC) facilities.

AIM

 The study explored and described the self-management challenges of adults with T2DM in Ekurhuleni PHC facilities amid COVID-19 level 5 and 4 lockdowns.

SETTING

 The study was conducted in three community health centres in Ekurhuleni which are rendering PHC services.

METHODS

 A phenomenological, qualitative, exploratory, and descriptive design was utilised. Purposive sampling was used to select adult patients with T2DM. Data were collected telephonically between July 2022 and August 2022 using semi-structured interviews. Inductive content analysis was used to analyse data.

RESULTS

 Two themes emerged from the interviews, namely, uncontrolled blood glucose levels and financial challenges.

CONCLUSION

 The patients with T2DM experienced uncontrolled blood glucose levels and financial challenges during the COVID-19 lockdown. Guidelines to improve self-management programmes during restrictions are needed to promote good health during future pandemics to prevent complications and mortality. The telehealth model can be designed to monitor chronic patients at home during lockdown as a two-way communication.Contribution: More knowledge and insight into self-management and health promotion of patients with T2DM was provided by this study. Increased training needs arose for PHC nurses in managing and monitoring patients.

Patient Perceptions of Telehealth for Pediatric Type 1 Diabetes During the COVID-19 Pandemic: A Follow-up Study

OBJECTIVES

There was rapid uptake of pediatric diabetes telehealth at the onset of the COVID-19 pandemic and initial studies demonstrated good usability and satisfaction. As exposure to telehealth continued to increase during the pandemic, we aimed to determine changes in telehealth usability and changes in future preferences for telehealth care.

METHODS

A telehealth questionnaire was administered early in the pandemic and again more than 1 year later. Survey data were linked with a clinical data registry. A multivariable proportional odds logistic mixed-effects model was used to assess the association between exposure to telehealth and outcome of future preference for telehealth. Multivariable linear mixed-effects models were used to examine associations between exposure to early and later pandemic periods and the outcome of usability scores.

RESULTS

Survey response rate was 40%, with 87 early and 168 later period participants. Virtual visits increased from 46% to 92% of all telehealth visits. Virtual visits improved in "ease of use" (p=0.0013) and "satisfaction" (p=0.045); there were no improvements in telephone visits. The odds of indicating higher preference for more future telehealth visits was 5.1-fold higher in the later pandemic group (p=0.0298). Eighty percent of participants would like their future care to include telehealth visits.

CONCLUSIONS

At our tertiary diabetes centre, families' desire for future telehealth care has increased during this 1-year period of additional telehealth exposure, and virtual care has now become the preferred option. This study provides important family perspectives that can help guide development of future diabetes clinical care.

Glycemic outcomes of people with diabetes mellitus in Brazilian primary health care

Background

The capillary blood glucose monitoring program at home a challenge in primary health care. Therefore, it is fundamental to identify the glycemic control of people with diabetes mellitus through HBA1c and to analyze its associated factors.

Objective

To identify the glycemic profile of people with Diabetes Mellitus (DM) through HbA1c and analyze factors associated.

Materials & methods

Cross-sectional study developed in Ribeirão Preto, São Paulo, Brazil. Secondary data from the electronic health record of people registered in the Primary Health Care system were used. A sample of 3181 participants was obtained. People with HbA1c < 7.0% (53 mmol/mol) were considered to have adequate glycemic control. For people aged ≥ 55 years, a less stringent target, < 8.0% (64 mmol/mol), was also considered. The odds ratio was the measure of effect analyzed with their respective 95% Confidence Intervals (95% CI).

Results

Adequate glycemic control with HbA1c < 7.0% (53 mmol/mol) was found in 44.8% of people and, when using the less rigid target, HbA1c < 8.0% (64 mmol/mol) for people aged ≥ 55 years-old, 70.6% had adequate glycemic control. Age and drug therapy were associated with adequate glycemic control (p < 0.001), which was more frequent among older people and those who used only metformin.

Conclusion

The study shows that the achievement of adequate glycemic control is still a challenge, especially with regard to younger people and those who use insulin.

Structural equation modeling of the effects of psychological distress and a fear of coronavirus disease 2019 on diabetes care in Japan: a cross-sectional study

This study aimed to examine the effects of psychological distress and a fear of coronavirus disease 2019 (COVID-19) on diabetes care in Japan. We used data from a 2020 nationwide Internet survey in Japan involving 28,000 respondents aged 15–79 years. The question items included psychological factors (Kessler psychological distress scale and fear of COVID-19), employment, trust in neighbors, informal caregiving, and history of diabetes care. After excluding respondents with comorbidities and those who had not visited the hospital, 625 patients with diabetes were analyzed. Statistical mediation was then examined through a path analysis using structural equation modeling (SEM). Discontinued diabetes care was independently associated with psychological distress (risk ratio = 1.44, 95% confidence interval [1.01–2.06]) and a fear of COVID-19 (1.41 [1.01–1.95]). The SEM results indicated that a fear of COVID-19, employment, trust in neighbors, and informal caregiving were indirectly associated with continued diabetes care via psychological distress. These findings suggest that a fear of COVID-19 may affect psychological distress and continued diabetes care among patients with diabetes in Japan, and that trust in neighbors and family caregiving may be related to the discontinuation of diabetes care. Therefore, because psychological factors and socioeconomic status may affect diabetes care, it is important to consider a fear of COVID-19 among patients with diabetes to maintain diabetes treatment.

Human Stem Cell Models of SARS-CoV-2 Infection in the Cardiovascular System

The virus responsible for coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected over 190 million people to date, causing a global pandemic. SARS-CoV-2 relies on binding of its spike glycoprotein to angiotensin-converting enzyme 2 (ACE2) for infection. In addition to fever, cough, and shortness of breath, severe cases of SARS-CoV-2 infection may result in the rapid overproduction of pro-inflammatory cytokines. This overactive immune response is known as a cytokine storm, which leads to several serious clinical manifestations such as acute respiratory distress syndrome and myocardial injury. Cardiovascular disorders such as acute coronary syndrome (ACS) and heart failure not only enhance disease progression at the onset of infection, but also arise in hospitalized patients with COVID-19. Tissue-specific differentiated cells and organoids derived from human pluripotent stem cells (hPSCs) serve as an excellent model to address how SARS-CoV-2 damages the lungs and the heart. In this review, we summarize the molecular basis of SARS-CoV-2 infection and the current clinical perspectives of the bidirectional relationship between the cardiovascular system and viral progression. Furthermore, we also address the utility of hPSCs as a dynamic model for SARS-CoV-2 research and clinical translation.

A century past the discovery of insulin: global progress and challenges for type 1 diabetes among children and adolescents in low-income and middle-income countries

Type 1 diabetes is on the rise globally; however, the burden of mortality remains disproportionate in low-income and middle-income countries (LMICs). As 2021 marks 100 years since the discovery of insulin, we revisit progress, global burden of type 1 diabetes trends, and understanding of the pathogenesis and management practices related to the disease. Despite much progress, inequities in access and availability of insulin formulations persist and are reflected in differences in survival and morbidity patterns related to the disease. Some of these inequities have also been exacerbated by health-system challenges during the COVID-19 pandemic. There is a clear opportunity to improve access to insulin and related essential technologies for improved management of type 1 diabetes in LMICs, especially as a part of universal health coverage. These improvements will require concerted action and investments in human resources, community engagement, and education for the timely diagnosis and management of type 1 diabetes, as well as adequate health-care financing. Further research in LMICs, especially those in Africa, is needed to improve our understanding of the burden, risk factors, and implementation strategies for managing type 1 diabetes.

Impact of COVID-19 on life expectancy at birth in India: a decomposition analysis

BACKGROUND

Quantifying excess deaths and their impact on life expectancy at birth (e0) provide a more comprehensive understanding of the burden of coronavirus disease of 2019 (COVID-19) on mortality. The study aims to comprehend the repercussions of the burden of COVID-19 disease on the life expectancy at birth and inequality in age at death in India.

METHODS

The mortality schedule of COVID-19 disease in the pandemic year 2020 was considered one of the causes of death in the category of other infectious diseases in addition to other 21 causes of death in the non-pandemic year 2019 in the Global Burden of Disease (GBD) data. The measures e0 and Gini coefficient at age zero (G0) and then sex differences in e0 and G0 over time were analysed by assessing the age-specific contributions based on the application of decomposition analyses in the entire period of 2010-2020.

RESULTS

The e0 for men and women decline from 69.5 and 72.0 years in 2019 to 67.5 and 69.8 years, respectively, in 2020. The e0 shows a drop of approximately 2.0 years in 2020 when compared to 2019. The sex differences in e0 and G0 are negatively skewed towards men. The trends in e0 and G0 value reveal that its value in 2020 is comparable to that in the early 2010s. The age group of 35-79 years showed a remarkable negative contribution to Δe0 and ΔG0. By causes of death, the COVID-19 disease has contributed - 1.5 and - 9.5%, respectively, whereas cardiovascular diseases contributed the largest value of was 44.6 and 45.9%, respectively, to sex differences in e0 and G0 in 2020. The outcomes reveal a significant impact of excess deaths caused by the COVID-19 disease on mortality patterns.

CONCLUSIONS

The COVID-19 pandemic has negative repercussions on e0 and G0 in the pandemic year 2020. It has severely affected the distribution of age at death in India, resulting in widening the sex differences in e0 and G0. The COVID-19 disease demonstrates its potential to cancel the gains of six to eight years in e0 and five years in G0 and has slowed the mortality transition in India.

The effect of the COVID-19 pandemic on self-management in patients with type 2 diabetics

AIMS

The research was conducted with the aim of determining the effect of the COVID-19 pandemic on levels of self-management in individuals with type 2 diabetes.

METHODS

This cross-sectional descriptive type of study was conducted between 21 December 2020 and 1 April 2021. It was performed with 378 individuals with type 2 diabetes attending the endocrinology clinic and outpatients' department of a government hospital who agreed to participate in the research. In the collection of data, a Patient Identification Form, Visual Analog Scales (an Anxiety VAS and a Stress VAS), and the Diabetes Self-Management Questionnaire (DSMQ) were used. The Wilcoxon test, Independent Sample t test, One-Way Anova and binary logistic regression were used in the analysis of data.

RESULTS

The Diabetes Self-Management Questionnaire (DSMQ) total mean score of the individuals with type 2 diabetes participating in the study during the COVID-19 pandemic was 5.25 ± 1.04. Their anxiety total mean score was 0.32 ± 1.56, and their total mean stress score was 7.06 ± 1.62. Being male, over the age of 65, married and having a diagnosis of diabetes for 6-11 years, increased smoking, the COVID-19 pandemic, reduced physical activity (not walking) and support obtained from health professionals, and increased anxiety and stress levels were found to be risk factors affecting diabetic self-management.

CONCLUSIONS

The findings show that the COVID-19 pandemic has had a negative effect on the self-management levels of individuals with type 2 diabetes.

Advanced-glycation end-products axis: A contributor to the risk of severe illness from COVID-19 in diabetes patients

Compelling pieces of evidence derived from both clinical and experimental research has demonstrated the crucial role of the receptor for advanced-glycation end-products (RAGE) in orchestrating a plethora of proinflammatory cellular responses leading to many of the complications and end-organ damages reported in patients with diabetes mellitus (DM). During the coronavirus disease 2019 (COVID-19) pandemic, many clinical reports have pointed out that DM increases the risk of COVID-19 complications, hospitalization requirements, as well as the overall severe acute respiratory syndrome coronavirus 2 case-fatality rate. In the present review, we intend to focus on how the basal activation state of the RAGE axis in common preexisting conditions in DM patients such as endothelial dysfunction and hyperglycemia-related prothrombotic phenotype, as well as the contribution of RAGE signaling in lung inflammation, may then lead to the increased mortality risk of COVID-19 in these patients. Additionally, the cross-talk between the RAGE axis with either another severe acute respiratory syndrome coronavirus 2 receptor molecule different of angiotensin-converting enzyme 2 or the renin-angiotensin system imbalance produced by viral infection, as well as the role of this multi-ligand receptor on the obesity-associated low-grade inflammation in the higher risk for severe illness reported in diabetes patients with COVID-19, are also discussed.