Introduction: Although severe acute respiratory syndrome coronavirus-2 infection is causing mortality in considerable proportion of coronavirus disease-2019 (COVID-19) patients, however, evidence for the association of sex, age, and comorbidities on the risk of mortality is not well-aggregated yet. It was aimed to assess the association of sex, age, and comorbidities with mortality in COVID-2019 patients. Methods: Literatures were searched using different keywords in various databases. Relative risks (RRs) were calculated by RevMan software where statistical significance was set as p < 0.05. Results: COVID-19 male patients were associated with significantly increased risk of mortality compared to females (RR 1.86: 95% confidence interval [CI] 1.67–2.07; p < 0.00001). Patients with age ≥50 years were associated with 15.4-folds significantly increased risk of mortality compared to patients with age <50 years (RR 15.44: 95% CI 13.02–18.31; p < 0.00001). Comorbidities were also associated with significantly increased risk of mortality; kidney disease (RR 4.90: 95% CI 3.04–7.88; p < 0.00001), cereborovascular disease (RR 4.78; 95% CI 3.39–6.76; p < 0.00001), cardiovascular disease (RR 3.05: 95% CI 2.20–4.25; p < 0.00001), respiratory disease (RR 2.74: 95% CI 2.04–3.67; p < 0.00001), diabetes (RR 1.97: 95% CI 1.48–2.64; p < 0.00001), hypertension (RR 1.95: 95% CI 1.58–2.40; p < 0.00001), and cancer (RR 1.89; 95% CI 1.25–2.84; p = 0.002) but not liver disease (RR 1.64: 95% CI 0.82–3.28; p= 0.16). Conclusion: Implementation of adequate protection and interventions for COVID-19 patients in general and in particular male patients with age ≥50 years having comorbidities may significantly reduce risk of mortality associated with COVID-19.

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Association of Sex, Age, and Comorbidities with Mortality in COVID-19 Patients: A Systematic Review and Meta-Analysis.

Prognostic factors in patients with diabetes hospitalized for COVID-19: Findings from the CORONADO study and other recent reports.

Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.

The Use of Digital Health in the Detection and Management of COVID-19.

Children and adolescents exhibit a broad range of clinical outcomes from SARS-CoV-2 infection, with the majority having minimal to mild symptoms. Additionally, some succumb to a severe hyperinflammatory post-infectious complication called multisystem inflammatory syndrome in children (MIS-C), predominantly affecting previously healthy individuals. Studies characterizing the immunological differences associated with these clinical outcomes have identified pathways important for host immunity to SARS-CoV-2 and innate modulators of disease severity. In this Review, we delineate the immunological mechanisms underlying the spectrum of pediatric immune response to SARS-CoV-2 infection in comparison with that of adults. Children are generally resistant to severe disease resulting from SARS-CoV-2 infection, but cases of pediatric COVID-19 and a new syndrome called MIS-C can occur. In this Review, the authors summarize what is known about the immunology of COVID-19 and MIS-C and how the pediatric response to SARS-CoV-2 is different from the immune response in adults. 

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Immunology of SARS-CoV-2 infection in children

No abstract available
Keywords: COVID-19; Diabetes; Evidence-based practice; Renin-angiotensin system; Risk; SARS-CoV-2; Therapy.

Commentary: COVID-19 and diabetes mellitus: What we know, how our patients should be treated now, and what should happen next.

Introduction: Type 2 Diabetes (T2D) is a major health problem worldwide. This metabolic disease is indicated by high blood glucose levels due to insufficient insulin production by the pancreas. An inflammatory response occurs as a result of the immune response to high blood glucose levels as well as the presence of inflammatory mediators produced by adipocytes and macrophages in fat tissue. This low and chronic inflammation damages the pancreatic beta cells and leads to insufficient insulin production, which results in hyperglycemia.

Hyperglycemia in diabetes is thought to cause dysfunction of the immune response, which fails to control the spread of invading pathogens in diabetic subjects. Therefore, diabetic subjects are known to more susceptible to infections. The increased prevalence of T2D will increase the incidence of infectious diseases and related comorbidities.

Objective: This review provides an overview of the immunological aspect of T2D and the possible mechanisms that result in increased infections in diabetics.

Conclusion: A better understanding of how immune dysfunctions occur during hyperglycemia can lead to novel treatments and preventions for infectious diseases and T2D comorbidities, thus improving the outcome of infectious disease treatment in T2D patients.

Type 2 Diabetes and its Impact on the Immune System

The function of T cells is tightly controlled by positive and negative regulations to ensure both successful pathogen elimination and limitation of immune-mediated pathology. One of the mechanisms to negatively regulate the magnitude and duration of effector T cells is the expression of inhibitory checkpoint molecules (ICs) on the surface membrane of T cells. During acute viral infections, expression of these molecules is upregulated to limit the effector functions following T-cell activation. The expression is subsequently downregulated following viral clearance. In contrast, these molecules are continuously expressed in virus-specific T cells found in persistently infected patients, including cases of chronic hepatitis B virus (HBV) and hepatitis C virus (HCV). The continuously high expression of ICs is responsible for the dysfunctional states of HBV- and HCV-specific T cells in chronic phases, known as T-cell exhaustion. Hence, understanding the regulation of their expression is essential to give insight into pathogenesis as well as the development of effective immune-based antiviral therapies. This review discusses recent updated research on expression of ICs during acute and chronic phases of HBV and HCV infections as well as during the clinical course of antiviral therapy.

Expressions of inhibitory checkpoint molecules in acute and chronic HBV and HCV infections: Implications for therapeutic monitoring and personalized therapy.

Objective This study is aimed at investigating if point-of-care testing for HbA1c (POCT-HbA1c) using the HemoCue® HbA1c 501 system could be an alternative method for diabetes screening and monitoring to replace the HbA1c measurement in a standard diagnostic laboratory. Design This was a cross-sectional study to assess the agreement between POCT and a standard laboratory measurement method for determining the level of HbA1c. Setting and Participants. In total, 108 participants were recruited to participate in this study, consisting of 61 diabetics and 47 nondiabetics. The diabetic group comprised 37 females and 24 males, diagnosed with type 2 diabetes mellitus (DM) and undergoing diabetes treatment at several community health care centres in Bandung, West Java. The nondiabetic group consisted of 15 female and 32 male patients of several community health care centres and healthy volunteers. Sample Collection and Analysis. A venous blood sample was taken for routine HbA1c analysis by the diagnostic laboratory method. For the POCT-HbA1c, a blood sample was taken from the fingertip at the same time and analysed with the HemoCue® HbA1c 501 system. Outcome Measures. The HbA1c results of both methods were compared and analysed with a Bland-Altman agreement plot. The sensitivity and specificity of the POCT-HbA1c data were also compared with those of the standard diagnostic results. Results Based on the Bland-Altman plot, the HbA1c level for 100 out of 108 (92.59%) subjects analysed by the POCT-HbA1c was within the range of the 95% limit of agreement. Compared with the standard diagnostic assay, the sensitivity of the POCT-HbA1c was 97.83% and its specificity was 77.42%. Conclusions The high sensitivity and accuracy of POCT-HbA1c indicate that it is a potential method for diabetes screening and monitoring to replace the routine diagnostic laboratory HbA1c measurement, especially when a rapid result is required.

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Performance of Point-of-Care Testing Compared with the Standard Laboratory Diagnostic Test in the Measurement of HbA1c in Indonesian Diabetic and Nondiabetic Subjects.

Nofri Rahmadika

Papers

Type 2 Diabetes and its Impact on the Immune System

Expressions of inhibitory checkpoint molecules in acute and chronic HBV and HCV infections: Implications for therapeutic monitoring and personalized therapy.

Performance of Point-of-Care Testing Compared with the Standard Laboratory Diagnostic Test in the Measurement of HbA1c in Indonesian Diabetic and Nondiabetic Subjects.