Clinico-epidemiological profile of COVID-19 patients admitted during third wave of pandemic in a tertiary care hospital in New Delhi, India.

Even nearly two years after the first reported case, the novel coronavirus (SARS-CoV-2) continues to ebb and flow around the world. A retrospective cohort study was carried out to determine the clinico-epidemiological profile and outcome of the cases. The study analyzed secondary data from 827 patients who presented to our center with COVID-19-related illnesses between December 15, 2021, and February 15, 2022 (third wave in India). There was a significant difference in the vaccination status of patients treated at home and those admitted, with 87.9% having received two doses compared to 74% in the second group being unvaccinated. Patients who were isolated at home recovered at a rate of 99.4%, while hospitalized patients died at a rate of 26.5%. Vaccination reduces the severity of COVID-19; however, constant vigilance for new variants, precautionary measures, and increased vaccination drives are critical moving forward.   *Other members of the Safdarjung Hospital COVID-19 working group: B. Lal (Medicine), Harish Sachdeva (Anaesthesiology), Santvana Kohli (Anaesthesiology), Amandeep Jaswal (Anaesthesiology), Sumitra Bachani (Obstetrics and Gynecology), Ajay Kumar (Pediatrics), Rohit Kumar (Pulmonary Medicine), Vidya Sagar Chaturvedi (Surgery), Vinod Chaitanya (Medicine).

Effect of COVID-19 vaccination status on outcome of adult patients admitted at a tertiary care centre in India.

COVID-19 vaccination was initially started in India on 16th January 2021 after approval from national authorities. This study was carried out to assess the effect of vaccination status on the severity and clinical outcome among patients infected with COVID-19. The study included all adult COVID-19 patients admitted to our hospital from 1st April to 30th June 2021. A total of 819 patients were enrolled in the study out of which only 183 (22.3%) were vaccinated. The study documented a statistically significant reduction in the severity of illness among the vaccinated (single/double dose) (33% severe COVID-19) against the unvaccinated (43% severe COVID-19) groups; along with a reduction in mortality. On univariate and multivariate analysis, age, severity of illness and lack of COVID-19 vaccination status were associated with a statistically significant increased mortality. To conclude, this study demonstrates the role of vaccination in decreasing the severity and mortality of COVID-19 infection.

Mortality and Its Predictors in COVID-19 Patients With Pre-existing Interstitial Lung Disease.

Background The data on the impact of coronavirus disease 2019 (COVID-19) on interstitial lung disease (ILD) is still limited. To the best of our knowledge, there has been no study from India to date to assess the impact of COVID-19 in patients with preexisting ILD. We undertook this study to assess the clinical outcome of ILD patients admitted to our hospital with COVID-19. Methods In this retrospective observational study, records of reverse transcription polymerase chain reaction (RT-PCR)-confirmed COVID-19 patients with preexisting ILD who were admitted to the hospital in the period from May 1, 2020, to April 30, 2021, were obtained from the hospital database. The clinical outcomes of the patients were recorded. Univariate analysis was performed to find relation between various predetermined risk factors for mortality and those with significant p values (p<0.05) were subjected to multiple logistic regression to determine independent risk factors. Results In our study of 28 patients, the overall mortality was 35.7%. On comparing the parameters associated with increased mortality, there was no effect of age, gender, comorbidities, type of ILD, CT thorax findings on diagnosis, use of corticosteroids and antifibrotics in the past, spirometric findings on mortality. On multivariate analysis, the significant parameters were interleukin 6 (IL-6), p=0.02, OR=1.020 (1.006-1.043) and D-dimer, p=0.04, OR=2.14 (5.55-1.14). Conclusion COVID-19 in patients with pre-existing ILD has a comparatively higher mortality. D-dimer and IL-6 are significant predictors of mortality in ILD patients infected with COVID-19.

Can oscillometry be a substitute to spirometry in the indigent?

The practical difficulties of using spirometry in a 3-year-old girl are highlighted, especially during the COVID-19 era. Oscillometry, a tidal breath-based technique, has shown promising future to reliably assess lung functions in the vulnerable cohort. A simple algorithmic approach has been provided till reference values can be established with multicenter studies.

COVID-19-associated Multisystem Inflammatory Syndrome in Children: A Multicentric Retrospective Cohort Study.

BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new entity affecting a small percentage of children during the COVID-19 pandemic. MATERIALS AND METHODS: Demography, clinical, and laboratory variables of children admitted from April to September 2020 with MIS-C were studied retrospectively at eight hospitals in Delhi, India. RESULTS: We identified 120 patients [median age: 7 years (interquartile range (IQR): 4-10)] with male-to-female ratio of 2.3:1. Overall, 73 out of 120 children (60.8%) presented with shock, 63 (52.5%) required inopressor support, and 51 (43%) required respiratory support. We categorized the cohort into three observed clinical phenotypes: MIS-C with shock (n = 63), MIS-C with Kawasaki disease (KD) (n = 23), and MIS-C without shock and KD (n = 34). Atypical presentations were hypothermia, orchitis, meningoencephalitis, demyelination, polyneuropathy, pancreatitis, and appendicitis. Ninety-four percent had laboratory evidence of SARS-CoV-2 (78.3%, seropositive and 15.8%, RT-PCR positive). The median C-reactive protein (CRP) was 136 mg/L (IQR, 63.5-212.5) and ferritin was 543 ng/mL (IQR, 225-1,127). More than 90% received immunomodulatory therapy (intravenous immunoglobulins and/or steroids) with an excellent outcome (96% survived). CRP and absolute neutrophil count (ANC) were correlated statistically with severity. CONCLUSION: MIS-C data from Delhi are presented. Rising CRP and ANC predict the severe MIS-C. HOW TO CITE THIS ARTICLE: Mehra B, Pandey M, Gupta D, Oberoi T, Jerath N, Sharma R, et al. COVID-19-associated Multisystem Inflammatory Syndrome in Children: A Multicentric Retrospective Cohort Study. Indian J Crit Care Med 2021;25(10):1176-1182.

Mortality among adult hospitalized patients during the first wave and second wave of COVID-19 pandemic at a tertiary care center in India.

The similarities and differences between the mortality patterns of the two waves in India remain largely unknown. This was a retrospective study of medical records conducted in the COVID data center of our hospital This study analyzed data of patients who died in the month of August, 2020 to October 2020 (one month before and after the peak of first wave i.e., 16th September, 2020) and April 2021 to June 2021 (one month before and after the peak of second wave i.e., 6th May, 2021), corresponding to an equal part of the pandemic during first (2020) and second (2021) wave. Out of 1893 patients in the study, 764 patients were admitted during the first wave and 1129 patients during the second wave of pandemic. In total, 420 patients died during the entire study period. Of those, 147 (35%) deaths occurred during the first wave and 273 (65%) during the second wave, reflecting a case fatality rate (CFR) of 19.2% during the first wave and a CFR of 24.18%. There were no significant differences in the age group, gender, presenting complaints, duration of stay and comorbidities. However, the deceased COVID-19 patients had an increase in case fatality rate, average duration of symptoms from onset to hospital admission (DOSHA) and a major shift from MODS to ARDS being the cause of death during the second wave of pandemic. This study demonstrates increased CFR, average DOSHA and a paradigm shift to ARDS as cause of mortality during the second peak of the pandemic. It is necessary to remain vigilant of newer COVID-19 variants of concern, follow COVID-19 appropriate behaviors and keep emphasizing on care of high-risk groups including patients with comorbidities and elderly population to prevent mortality.

Impact of COVID-19 on (Non-COVID) chronic respiratory disease outcome survey in India (CCROS study).

BACKGROUND: India has high prevalence of chronic respiratory diseases, especially bronchial asthma and chronic obstructive pulmonary disease (COPD). Both of these are also recognized as risk factors for severity and poor outcome of COVID-19 disease. It is assumed that COVID-19 outbreak as well as an effective lockdown might have affected the incidence and outcome of some of these. METHODS: To substantiate above hypothesis, an online survey was mailed to 547 pulmonologists across the country; 314 (54.7%) responses were recorded in the given period. The survey included observations on incidence and outcome of common chronic respiratory diseases such as asthma, COPD and interstitial lung diseases (ILD) in predefined pre-COVID and during COVID period in a total of 24 questions. RESULTS: It was observed that the reduction in incidence of outpatient department cases, acute exacerbations and hospitalization for asthma, COPD and ILD was statistically significant. The outcome of acute exacerbations of these chronic respiratory diseases was analyzed in terms of discharges from hospitals after satisfactory recovery and/ or mortalities. For COPD and ILD, it was not significantly affected during the COVID period. At the same time, a relatively higher proportion of acute asthma mortality was reported. A wide variation in nebulization practices was reported during this period. The doses of inhaled corticosteroids in asthma management were not affected. A wide variety of factors including effective lockdown, better quality of air and regular use of masks were probably responsible for reduced incidence of exacerbations of these chronic respiratory diseases. CONCLUSION: We conclude that while outpatient department visits, acute exacerbations and hospitalizations were significantly reduced during COVID-19 period, outcome of asthmatics was relatively unfavorable as compared to that of COPD and ILDs.

Early trends of socio-economic and health indicators influencing case fatality rate of COVID-19 pandemic.

Coronavirus disease 2019, i.e. COVID-19, started as an outbreak in a district of China and has engulfed the world in a matter of 3 months. It is posing a serious health and economic challenge worldwide. However, case fatality rates (CFRs) have varied amongst various countries ranging from 0 to 8.91%. We have evaluated the effect of selected socio-economic and health indicators to explain this variation in CFR. Countries reporting a minimum of 50 cases as on 14th March 2020, were selected for this analysis. Data about the socio-economic indicators of each country was accessed from the World bank database and data about the health indicators were accessed from the World Health Organisation (WHO) database. Various socioeconomic indicators and health indicators were selected for this analysis. After selecting from univariate analysis, the indicators with the maximum correlation were used to build a model using multiple variable linear regression with a forward selection of variables and using adjusted R-squared score as the metric. We found univariate regression results were significant for GDP (Gross Domestic Product) per capita, POD 30/70 (Probability Of Dying Between Age 30 And Exact Age 70 From Any of Cardiovascular Disease, Cancer, Diabetes or Chronic Respiratory Disease), HCI (Human Capital Index), GNI(Gross National Income) per capita, life expectancy, medical doctors per 10000 population, as these parameters negatively corelated with CFR (rho = -0.48 to -0.38 , p<0.05). Case fatality rate was regressed using ordinary least squares (OLS) against the socio-economic and health indicators. The indicators in the final model were GDP per capita, POD 30/70, HCI, life expectancy, medical doctors per 10,000, median age, current health expenditure per capita, number of confirmed cases and population in millions. The adjusted R-squared score was 0.306. Developing countries with a poor economy are especially vulnerable in terms of COVID-19 mortality and underscore the need to have a global policy to deal with this on-going pandemic. These trends largely confirm that the toll from COVID-19 will be worse in countries ill-equipped to deal with it. These analyses of epidemiological data are need of time as apart from increasing situational awareness, it guides us in taking informed interventions and helps policy-making to tackle this pandemic.

Prediction for the spread of COVID-19 in India and effectiveness of preventive measures.

The spread of COVID-19 in the whole world has put the humanity at risk. The resources of some of the largest economies are stressed out due to the large infectivity and transmissibility of this disease. Due to the growing magnitude of number of cases and its subsequent stress on the administration and health professionals, some prediction methods would be required to predict the number of cases in future. In this paper, we have used data-driven estimation methods like long short-term memory (LSTM) and curve fitting for prediction of the number of COVID-19 cases in India 30 days ahead and effect of preventive measures like social isolation and lockdown on the spread of COVID-19. The prediction of various parameters (number of positive cases, number of recovered cases, etc.) obtained by the proposed method is accurate within a certain range and will be a beneficial tool for administrators and health officials.