Post COVID sequelae among COVID-19 survivors: insights from the Indian National Clinical Registry for COVID-19.

INTRODUCTION: The effects of COVID-19 infection persist beyond the active phase. Comprehensive description and analysis of the post COVID sequelae in various population groups are critical to minimise the long-term morbidity and mortality associated with COVID-19. This analysis was conducted with an objective to estimate the frequency of post COVID sequelae and subsequently, design a framework for holistic management of post COVID morbidities. METHODS: Follow-up data collected as part of a registry-based observational study in 31 hospitals across India since September 2020-October 2022 were used for analysis. All consenting hospitalised patients with COVID-19 are telephonically followed up for up to 1 year post-discharge, using a prestructured form focused on symptom reporting. RESULTS: Dyspnoea, fatigue and mental health issues were reported among 18.6%, 10.5% and 9.3% of the 8042 participants at first follow-up of 30-60 days post-discharge, respectively, which reduced to 11.9%, 6.6% and 9%, respectively, at 1-year follow-up in 2192 participants. Patients who died within 90 days post-discharge were significantly older (adjusted OR (aOR): 1.02, 95% CI: 1.01, 1.03), with at least one comorbidity (aOR: 1.76, 95% CI: 1.31, 2.35), and a higher proportion had required intensive care unit admission during the initial hospitalisation due to COVID-19 (aOR: 1.49, 95% CI: 1.08, 2.06) and were discharged at WHO ordinal scale 6-7 (aOR: 49.13 95% CI: 25.43, 94.92). Anti-SARS-CoV-2 vaccination (at least one dose) was protective against such post-discharge mortality (aOR: 0.19, 95% CI: 0.01, 0.03). CONCLUSION: Hospitalised patients with COVID-19 experience a variety of long-term sequelae after discharge from hospitals which persists although in reduced proportions until 12 months post-discharge. Developing a holistic management framework with engagement of care outreach workers as well as teleconsultation is a way forward in effective management of post COVID morbidities as well as reducing mortality.

Coronavirus Disease, Diabetes and Glucocorticoid a Terrible Trio for Invasive Mucormycosis: An Observational Study from Northwest Rajasthan.

OBJECTIVE: This study aims to describe the epidemiology, predisposing factors, clinical manifestations, management, and outcome of post-COVID rhino-cerebralorbital mucormycosis. METHODS: This is a prospective observational study of patients with post-COVID RCOM conducted tertiary care hospital during May-June 2021. RESULTS: The mean age of patients was 49.58±15.12 years and majority (64.80%) were male. The majority of patients were rural, Hindu and illiterate. Diabetes was present 78.10% patients, glucocorticoids were required in 66.30%, and supplemental oxygen was used in 27.60% of patients. Most of the patients developed symptoms of RCOM within 15 days of COVID-19. Majority of patients (46.67%) had stage 3 disease and orbit was involved in 60% of patients. All patients received intravenous antifungal drugs and combined antifungal drugs and surgical debridement was performed in 77.10% patients. Predictor associated with poor outcome were RCOM stage 3c or above and qSOFA score ≥2 at presentation. CONCLUSION: Diabetes and glucocorticoids are the most important risk factors for post-COVID RCOM. COVID-19 patients must be followed closely for 2-4 weeks to detect mucormycosis as earlier as possible. Antifungal drugs should be started immediately if clinico-radiological feature suggest RCOM before microbiological confirmation. Combined medical and surgical treatment significantly reduces mortality.

Low Prevalence of AHA-Defined Ideal Cardiovascular Health Factors: A Study of Urban Indian Men and Women.

BACKGROUND: Coronary heart disease risk factors are widely prevalent among urban subjects in India but the prevalence of good cardiovascular health is unknown. OBJECTIVES: This multisite study sought to determine the prevalence of American Heart Association-defined ideal cardiovascular health factors. METHODS: The study was performed in 11 cities using cluster sampling. Middle-class urban subjects ages 20 to 75 years (N = 6,198; men: 3,426; women: 2,772, response: 62%) were evaluated for socioeconomic, biophysical, and biochemical factors. Prevalence of ideal cardiovascular health using 7-factor American Heart Association metric (nonsmoking, moderate or greater physical activity, low-fat, high-fruit/vegetable diet, body mass index <25 kg/m2, untreated blood pressure <120/<80 mm Hg, cholesterol <200 mg/dl, and fasting glucose <100 mg/dl) was determined. Descriptive statistics are reported. RESULTS: Age-adjusted prevalences of ideal health factors in men and women, respectively, were non-tobacco use in 72.0% and 89.6%, moderate physical activity in 20.1% and 20.6%, healthy diet in 10.6% and 10.6%, normal body mass index in 57.7% and 52.8%, normotension in 17.1% and 22.4%, normocholesterolemia in 72.4% and 72.7%, and normoglycemia in 57.4% and 59.5%. Prevalence of all the 7 health factors was in <1.0% in both men and women, any 6 in 3.4% and 3.5%, any 5 in 12.7% and 17.8%, any 4 in 36.9% and 44.7%, any 3 in 67.2% and 70.8%, any 2 in 89.1% and 92.4%, and 1 in 98.2% and 99.1%. Cardiovascular health was poor (1 to 3 factors) in 62.4% of men and 54.9% of women, average (4 to 5 factors) in 34.1% and 41.5%, and good (≥6 factors) in 3.5% and 3.6%. With increasing age, the behavioral health factors (tobacco use, physical activity, healthy diet) did not change, whereas others declined (ptrend < 0.01). Clustering of average and good health factors also declined with age (ptrend < 0.01). There were no socioeconomic status-related differences in prevalence of good cardiovascular health. CONCLUSIONS: Good cardiovascular health factors-physical activity, healthy diet, and desirable body mass index, blood pressure, and glucose levels-are low in urban Asian Indians.

Prevalence of diabetes and cardiovascular risk factors in middle-class urban participants in India.

OBJECTIVES: To determine the prevalence of diabetes and awareness, treatment and control of cardiovascular risk factors in population-based participants in India. METHODS: A study was conducted in 11 cities in different regions of India using cluster sampling. Participants were evaluated for demographic, biophysical, and biochemical risk factors. 6198 participants were recruited, and in 5359 participants (86.4%, men 55%), details of diabetes (known or fasting glucose >126 mg/dL), hypertension (known or blood pressure >140/>90 mm Hg), hypercholesterolemia (cholesterol >200 mg/dL), low high-density lipoprotein (HDL) cholesterol (men <40, women <50 mg/dL), hypertriglyceridemia (>150 mg/dL), and smoking/tobacco use were available. Details of awareness, treatment, and control of hypertension and hypercholesterolemia were also obtained. RESULTS: The age-adjusted prevalence (%) of diabetes was 15.7 (95% CI 14.8 to 16.6; men 16.7, women 14.4) and that of impaired fasting glucose was 17.8 (16.8 to 18.7; men 17.7, women 18.0). In participants with diabetes, 27.6% were undiagnosed, drug treatment was in 54.1% and control (fasting glucose ≤130 mg/dL) in 39.6%. Among participants with diabetes versus those without, prevalence of hypertension was 73.1 (67.2 to 75.0) vs 26.5 (25.2 to 27.8), hypercholesterolemia 41.4 (38.3 to 44.5) vs 14.7 (13.7 to 15.7), hypertriglyceridemia 71.0 (68.1 to 73.8) vs 30.2 (28.8 to 31.5), low HDL cholesterol 78.5 (75.9 to 80.1) vs 37.1 (35.7 to 38.5), and smoking/smokeless tobacco use in 26.6 (23.8 to 29.4) vs 14.4 (13.4 to 15.4; p<0.001). Awareness, treatment, and control, respectively, of hypertension were 79.9%, 48.7%, and 40.7% and those of hypercholesterolemia were 61.0%, 19.1%, and 45.9%, respectively. CONCLUSIONS: In the urban Indian middle class, more than a quarter of patients with diabetes are undiagnosed and the status of control is low. Cardiovascular risk factors-hypertension, hypercholesterolemia, low HDL cholesterol, hypertriglyceridemia, and smoking/smokeless tobacco use-are highly prevalent. There is low awareness, treatment, and control of hypertension and hypercholesterolemia in patients with diabetes.

High prevalence of metabolic syndrome among urban subjects in India: a multisite study.

OBJECTIVE: Metabolic syndrome is an important cardiovascular risk factor. To determine its prevalence among urban subjects in India we performed a multisite study. METHODS: The study was performed at eleven cities using cluster sampling. 6198 subjects (men 3426, women 2772, response 62%, age 48±10 years) were evaluated for socio-demographic, lifestyle, anthropometric and biochemical factors. Prevalence of metabolic syndrome was determined using harmonized Asian-specific criteria. Significant socioeconomic and lifestyle associations were determined. RESULTS: Age adjusted prevalence (%, 95% confidence intervals) of metabolic syndrome in men and women was 33.3 (31.7-34.9) and 40.4 (38.6-42.2) (harmonized criteria), 23.9 (22.4-26.4) and 34.5 (32.0-36.1) (modified Adult Treatment Panel-3, ATP-3) and 17.2 (15.3-19.1) and 22.8 (20.1-24.2) (ATP-3). Individual components of metabolic syndrome in men and women, respectively, were: high waist circumference 35.7 (34.1-37.3) and 57.5 (55.6-59.3), high blood pressure 50.6 (48.9-52.3) and 46.3 (44.4-48.1), impaired fasting glucose/diabetes 29.0 (27.5-30.5) and 28.0 (26.3-29.7), low HDL cholesterol 34.1 (32.5-35.7) and 52.8 (50.9-54.7) and high triglycerides 41.2 (39.5-42.8) and 31.5 (29.7-33.2) percent. Prevalence of metabolic syndrome was significantly greater in subjects with highest vs. lowest categories of education (45 vs. 26%), occupation (46 vs. 40%), fat intake (52 vs. 45%), sedentary lifestyle (47 vs. 38%) and body mass index (66 vs. 29%) (p<0.05). CONCLUSION: There is high prevalence of metabolic syndrome in urban Indian subjects. Socioeconomic (high educational and occupational status) and lifestyle (high fat diet, low physical activity, overweight and obesity) factors are important.

Cholesterol lipoproteins and prevalence of dyslipidemias in urban Asian Indians: a cross sectional study.

OBJECTIVE: To determine levels of cholesterol lipoproteins and prevalence of dyslipidemias in urban Asian Indians. METHODS: Population based 6123 subjects (men 3388) were evaluated. Mean±1SD of various cholesterol lipoproteins (total, HDL, LDL and non-HDL cholesterol) and triglycerides were reported. Subjects were classified according to US National Cholesterol Education Program. RESULTS: Age-adjusted levels in men and women were cholesterol total 178.4 ± 39 and 184.6 ± 39, HDL 44.9 ± 11 and 51.1 ± 11, LDL 102.5 ± 33 and 106.2 ± 33, total:HDL 4.15 ± 1.2 and 3.79 ± 1.0 and triglycerides 162.5 ± 83 and 143.7 ± 83 mg/dl. Age-adjusted prevalence (%) in men and women, respectively were, total cholesterol ≥200 mg/dl 25.1 and 24.9, LDL cholesterol ≥130 mg/dl 16.3 and 15.1 and ≥100 mg/dl 49.5 and 49.7, HDL cholesterol <40/<50 mg/dl 33.6 and 52.8, total:HDL cholesterol ≥4.5 29.4 and 16.8, and triglycerides ≥150 mg/dl 42.1 and 32.9%. Cholesterol level was significantly greater in subjects with better socioeconomic status, body mass index and waist circumference while triglycerides were more among those with high socioeconomic status, fat intake, body mass index and waist circumference (p < 0.05). Hypercholesterolemia awareness (15.6%), treatment (7.2%) and control (4.1%) were low. CONCLUSIONS: Mean cholesterol and LDL cholesterol are low and triglycerides were high in urban Asian Indians. Most prevalent dyslipidemias are borderline high LDL, low HDL and high triglycerides. Subjects with high socioeconomic status, high fat intake and greater adiposity have higher total and LDL cholesterol and triglyceride and lower HDL cholesterol.

Association of educational, occupational and socioeconomic status with cardiovascular risk factors in Asian Indians: a cross-sectional study.

BACKGROUND: To determine correlation of multiple parameters of socioeconomic status with cardiovascular risk factors in India. METHODS: The study was performed at eleven cities using cluster sampling. Subjects (n = 6198, men 3426, women 2772) were evaluated for socioeconomic, demographic, biophysical and biochemical factors. They were classified into low, medium and high socioeconomic groups based on educational level (<10, 10-15 and >15 yr formal education), occupational class and socioeconomic scale. Risk factor differences were evaluated using multivariate logistic regression. RESULTS: Age-adjusted prevalence (%) of risk factors in men and women was overweight or obesity in 41.1 and 45.2, obesity 8.3 and 15.8, high waist circumference 35.7 and 57.5, high waist-hip ratio 69.0 and 83.8, hypertension 32.5 and 30.4, hypercholesterolemia 24.8 and 25.3, low HDL cholesterol 34.1 and 35.1, high triglycerides 41.2 and 31.5, diabetes 16.7 and 14.4 and metabolic syndrome in 32.2 and 40.4 percent. Lifestyle factors were smoking 12.0 and 0.5, other tobacco use 12.7 and 6.3, high fat intake 51.2 and 48.2, low fruits/vegetables intake 25.3 and 28.9, and physical inactivity in 38.8 and 46.1%. Prevalence of > = 3 risk factors was significantly greater in low (28.0%) vs. middle (23.9%) or high (22.1%) educational groups (p<0.01). In low vs. high educational groups there was greater prevalence of high waist-hip ratio (odds ratio 2.18, confidence interval 1.65-2.71), low HDL cholesterol (1.51, 1.27-1.80), hypertriglyceridemia (1.16, 0.99-1.37), smoking/tobacco use (3.27, 2.66-4.01), and low physical activity (1.15, 0.97-1.37); and lower prevalence of high fat diet (0.47, 0.38-0.57),overweight/obesity (0.68, 0.58-0.80) and hypercholesterolemia (0.79, 0.66-0.94). Similar associations were observed with occupational and socioeconomic status. CONCLUSIONS: Low educational, occupational and socioeconomic status Asian Indians have greater prevalence of truncal obesity, low HDL cholesterol, hypertriglyceridemia, smoking or tobacco use and low physical activity and clustering of > = 3 major cardiovascular risk factors.