Background Understanding the factors associated with disease severity and mortality in Coronavirus disease (COVID-19) is imperative to effectively triage patients. We performed a systematic review to determine the demographic, clinical, laboratory and radiological factors associated with severity and mortality in COVID-19. Methods We searched PubMed, Embase and WHO database for English language articles from inception until May 8, 2020. We included Observational studies with direct comparison of clinical characteristics between a) patients who died and those who survived or b) patients with severe disease and those without severe disease. Data extraction and quality assessment were performed by two authors independently. Results Among 15680 articles from the literature search, 109 articles were included in the analysis. The risk of mortality was higher in patients with increasing age, male gender (RR 1.45, 95%CI 1.23–1.71), dyspnea (RR 2.55, 95%CI 1.88–2.46), diabetes (RR 1.59, 95%CI 1.41–1.78), hypertension (RR 1.90, 95%CI 1.69–2.15). Congestive heart failure (OR 4.76, 95%CI 1.34–16.97), hilar lymphadenopathy (OR 8.34, 95%CI 2.57–27.08), bilateral lung involvement (OR 4.86, 95%CI 3.19–7.39) and reticular pattern (OR 5.54, 95%CI 1.24–24.67) were associated with severe disease. Clinically relevant cut-offs for leukocytosis(>10.0 x109/L), lymphopenia(< 1.1 x109/L), elevated C-reactive protein(>100mg/L), LDH(>250U/L) and D-dimer(>1mg/L) had higher odds of severe disease and greater risk of mortality. Conclusion Knowledge of the factors associated of disease severity and mortality identified in our study may assist in clinical decision-making and critical-care resource allocation for patients with COVID-19.

Background:Recent evidences showed that outdoor air pollution had significant influence on cognitive functioning of adults. However, little is known regarding the association of indoor air pollution with cognitive dysfunction. Hence, the current study was done to assess the association between indoor air pollution and cognitive impairment among adults in rural Puducherry.Methodology:A community-based cross-sectional study was done among 295 adults residing in rural field practice area of tertiary care institute in Puducherry during February and March 2018. Information regarding sociodemographic profile and household was collected using pretested semi-structured questionnaire. Mini-Mental State Examination was done to assess cognitive function. We calculated adjusted prevalence ratios (aPR) to identify the factors associated with cognitive impairment.Results:Among 295 participants, 173 (58.6) were in 30–59 years; 154 (52.2%) were female; and 59 (20.0%) were exposed to indoor air pollution. Prevalence of cognitive impairment in the general population was 11.9% (95% confidence interval [CI]: 8.7–16.1). Prevalence of cognitive impairment among those who were exposed to indoor air pollution was 27.1% (95% CI: 17.4–39.6). Individuals exposed to indoor air pollution (aPR = 2.18, P = 0.003) were found to have two times more chance of having cognitive impairment.Conclusion:About one-fourth of the participants were exposed to indoor air pollution, out of which more than one-fourth was found to have cognitive impairment which is twice that of the general population. Hence, prevention of exposure to indoor air pollution needs to be done through increased availability to cleaner fuels for household usage.

Background:Measles is one the leading cause of morbidity, mortality, and disability among under-five children worldwide with India contributing to half of the burden. Hence, Measles-Rubella (MR) campaign was launched to vaccinate all the children between 9 months and 15 years. The current study was done to find the prevalence and factors related to vaccine hesitancy in the MR campaign 2017 in rural Puducherry.Methods:This was a mixed-method study conducted with a quantitative part involving cross-sectional survey done among parents of children aged between 9 months and 15 years to determine the proportion of MR vaccine hesitancy and qualitative part involved in-depth interviews to explore the barriers and facilitating factors for the MR vaccine hesitancy.Results:Among 461 participants, the prevalence of vaccine hesitancy for the MR campaign was 14.1% (95%CI: 11–17.6%). In adjusted analysis, only mother's age (aPR–2.27) was the significant predictor of vaccine hesitancy. In qualitative analysis, major facilitating factor for campaign was the role played by the doctors in spreading awareness regarding the importance of vaccine and trust by parents on doctors. Major hindering factors were inadequate knowledge regarding campaign, rumors spread about the safety of vaccine, sudden planning, and under preparedness at health system level.Conclusion:The current study found that almost one-fifth of the parents were hesitant to give vaccination to children. Social media rumors, lack of knowledge among parents, and inadequate time in planning were major reasons for vaccine hesitancy. Hence, countries should undertake training and education of healthcare workers to empower them to address the vaccine hesitancy.

Background In the ongoing COVID-19 pandemic, an increased incidence of ROCM was noted in India among those infected with COVID. We determined risk factors for rhino-orbito-cerebral mucormycosis (ROCM) post Coronavirus disease 2019 (COVID-19) among those never and ever hospitalized for COVID-19 separately through a multicentric, hospital-based, unmatched case-control study across India. Methods We defined cases and controls as those with and without post-COVID ROCM, respectively. We compared their socio-demographics, co-morbidities, steroid use, glycaemic status, and practices. We calculated crude and adjusted odds ratio (AOR) with 95% confidence intervals (CI) through logistic regression. The covariates with a p-value for crude OR of less than 0·20 were considered for the regression model. Results Among hospitalised, we recruited 267 cases and 256 controls and 116 cases and 231 controls among never hospitalised. Risk factors (AOR; 95% CI) for post-COVID ROCM among the hospitalised were age 45–59 years (2·1; 1·4 to 3·1), having diabetes mellitus (4·9; 3·4 to 7·1), elevated plasma glucose (6·4; 2·4 to 17·2), steroid use (3·2; 2 to 5·2) and frequent nasal washing (4·8; 1·4 to 17). Among those never hospitalised, age ≥ 60 years (6·6; 3·3 to 13·3), having diabetes mellitus (6·7; 3·8 to 11·6), elevated plasma glucose (13·7; 2·2 to 84), steroid use (9·8; 5·8 to 16·6), and cloth facemask use (2·6; 1·5 to 4·5) were associated with increased risk of post-COVID ROCM. Conclusions Hyperglycemia, irrespective of having diabetes mellitus and steroid use, was associated with an increased risk of ROCM independent of COVID-19 hospitalisation. Rational steroid usage and glucose monitoring may reduce the risk of post-COVID.

BackgroundCoronavirus disease 2019 (COVID-19) ranges from asymptomatic infection to severe illness. Cholesterol in the host cell plasma membrane plays an important role in the SARS-CoV-2 virus entry into cells. Serum lipids, especially low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C), are in constant interaction with the lipid rafts in the host cell membranes and can modify the interaction of virus with host cells and the resultant disease severity. Recent studies on serum lipid levels and COVID-19 disease severity lack consistency.ObjectivesOur systematic review and meta-analysis compared the serum levels of total cholesterol (TC), LDL-C, HDL-C, and triglycerides (TG) between (1) COVID-19 patients vs. healthy controls; (2) severe vs. non-severe COVID-19 disease; (3) deceased vs. surviving COVID-19 patients.MethodsPRISMA guidelines were followed. We included peer-reviewed articles on observational (case-control and cohort) studies from PubMed and Embase published from the database inception until September 1, 2021. We used random-effects meta-analysis for pooled mean-differences (pMD) in lipid levels (mg/dL) for the above groups.ResultsAmong 441 articles identified, 29 articles (26 retrospective and 3 prospective cohorts), with an aggregate of 256,721 participants, were included. COVID-19 patients had lower TC (pMD-14.9, 95%CI-21.6 to −8.3) and HDL-C (pMD-6.9, 95%CI −10.2 to −3.7) levels (mg/dL). Severe COVID-19 patients had lower TC (pMD-10.4, 95%CI −18.7 to −2.2), LDL-C (pMD-4.4, 95%CI −8.4 to −0.42), and HDL-C (pMD-4.4, 95%CI −6.9 to −1.8) at admission compared to patients with non-severe disease. Deceased patients had lower TC (pMD-14.9, 95%CI −21.6 to −8.3), LDL-C (pMD-10.6, 95%CI −16.5 to −4.6) and HDL-C (pMD-2.5, 95%CI −3.9 to −1.0) at admission. TG levels did not differ based on COVID-19 severity or mortality. No publication bias was noted.ConclusionWe demonstrated lower lipid levels in patients with COVID-19 infection and an association with disease severity and mortality. Their potential role in COVID-19 pathogenesis and their utility as prognostic factors require further investigation.