Elderly people and people with co-morbidities have emerged as the most vulnerable group at risk of developing complications and succumbing to novel coronavirus (COVID-19) infection. We recorded the baseline demographic profile, baseline clinical and laboratory parameters, and prevalence of various co-morbidities and their effect on the prognosis of COVID-19 cases. We conducted a prospective observational study and analyzed baseline clinical and laboratory parameters and co-morbidities and their effect on severity and mortality in 710 COVID-19 cases. Seven hundred ten patients with laboratory-confirmed COVID-19 were recruited from the 28 th of March to the 31 st of August 2020. The mean age was 48.4 ± 16.4years. A total of 530 (74.6%) patients were male. Overall, the mean length of hospital stay was 12.7 days. In total, 645 patients(90.8%) were mild to moderate cases and did not require initial ICU care. Sixty-five (9.2%) cases required initial intensive care unit care. Fifty (7%) admitted patients succumbed to the illness. Diabetes mellitus and hypertension increased the risk of death in COVID-19 patients irrespective of age. Increasing age and co-morbidities adversely affect the prognosis of patients of COVID-19. Diabetes mellitus and hypertension increase the risk of death in COVID-19 patients and negate the incremental effect of age on death in these patients.

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been relentless. We are into the 10th month of the pandemic, and we are still getting surprised every day. Although neutralizing antibodies are generated in response to coronavirus disease-19 (COVID-19), these antibodies do not appear to confer lifelong immunity, as lately there have been reports from various parts of the world of reinfection with the virus, starting from Hong Kong, Belgium, and the USA. The Indian Council of Medical Research (ICMR) has been on-record claiming three cases of reinfection in India. Herein, we report three patients of hematologic malignancy who most probably had reinfection with SARS-CoV-2, after complete documented recovery from first infection. All three patients were immunocompromised owing to their primary hematologic malignancy coupled with ongoing therapy, and the second infection was documented to be severe in all the three cases from the first episode.

Background In contrast with the setting of acute myocardial infarction, there are limited data regarding the impact of diabetes mellitus on clinical outcomes in contemporary cohorts of patients with chronic coronary syndromes. We aimed to investigate the prevalence and prognostic impact of diabetes according to geographical regions and ethnicity. Methods and results CLARIFY is an observational registry of patients with chronic coronary syndromes, enrolled across 45 countries in Europe, Asia, America, Middle East, Australia, and Africa in 2009–2010, and followed up yearly for 5 years. Chronic coronary syndromes were defined by ≥1 of the following criteria: prior myocardial infarction, evidence of coronary stenosis >50%, proven symptomatic myocardial ischaemia, or prior revascularization procedure. Among 32 694 patients, 9502 (29%) had diabetes, with a regional prevalence ranging from below 20% in Northern Europe to ∼60% in the Gulf countries. In a multivariable-adjusted Cox proportional hazards model, diabetes was associated with increased risks for the primary outcome (cardiovascular death, myocardial infarction, or stroke) with an adjusted hazard ratio of 1.28 (95% confidence interval 1.18, 1.39) and for all secondary outcomes (all-cause and cardiovascular mortality, myocardial infarction, stroke, heart failure, and coronary revascularization). Differences on outcomes according to geography and ethnicity were modest. Conclusion In patients with chronic coronary syndromes, diabetes is independently associated with mortality and cardiovascular events, including heart failure, which is not accounted by demographics, prior medical history, left ventricular ejection fraction, or use of secondary prevention medication. This is observed across multiple geographic regions and ethnicities, despite marked disparities in the prevalence of diabetes. ClinicalTrials identifier ISRCTN43070564

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The importance of this study is the efficacy of "symptoms only" approach at a screening clinic for coronavirus disease 2019 (COVID-19) diagnosis in low-and middle-income countries (LMIC) setting. The objective of this study was to assess how efficiently primary care physicians at the screening clinic were able to predict whether a patient had COVID-19 or not, based on their symptom-based assessment alone. The current study is a cross-sectional retrospective observational study. This study was conducted at a single-center, tertiary care setting with a dedicated COVID-19 facility in a metropolitan city in eastern India. Participants are all suspected COVID-19 patients who presented themselves to this center during the outbreak from 1 August 2020 to 30 August 2020. Patients were referred to the Cough Clinic from the various outpatient departments of the hospital or from smaller satellite centers located in different parts of the city and other dependent geographical areas. The main outcome(s) and measure(s) is to study whether outcome of confirmatory test results can be predicted accurately by history taking alone. From 01 August 2020 to 30 Aug 2020, 511 patients with at least one symptom suggestive of COVID-19 reported to screening clinic. Out of these, 65.4% were males and 34.6% were females. Median age was 45 years with range being 01 to 92 years. Fever was seen in 70.4% while cough was present in 22% of cases. Overall positivity for SARS-CoV-2 during this period in this group was 54.21%. At 50% pre-test probability, the sensitivity of trained doctors working at the clinic, in predicting positive cases based on symptoms alone, was approximately 74.7%, and specificity for the same was 58.12%. The positive predictive value of the doctors' assessment was 67.87%, and the negative predictive value was 66.02%. Rapid triaging for confirmatory diagnosis of COVID-19 is feasible at screening clinic based on history taking alone by training of primary care physicians. This is particularly relevant in LMIC with scarce healthcare resources to overcome COVID-19 pandemic. Keywords COVID-19. History taking. Rapid triaging. Symptoms only approach This article is part of the Topical Collection on Covid-19