Impact of COVID-19 on non-COVID intensive care unit service utilization, case mix and outcomes: A registry-based analysis from India.

Background: Coronavirus disease 2019 (COVID-19) has been responsible for over 3.4 million deaths globally and over 25 million cases in India. As part of the response, India imposed a nation-wide lockdown and prioritized COVID-19 care in hospitals and intensive care units (ICUs). Leveraging data from the Indian Registry of IntenSive care, we sought to understand the impact of the COVID-19 pandemic on critical care service utilization, case-mix, and clinical outcomes in non-COVID ICUs.  Methods: We included all consecutive patients admitted between 1 st October 2019 and 27 th September 2020. Data were extracted from the registry database and included patients admitted to the non-COVID or general ICUs at each of the sites. Outcomes included measures of resource-availability, utilisation, case-mix, acuity, and demand for ICU beds. We used a Mann-Whitney test to compare the pre-pandemic period (October 2019 - February 2020) to the pandemic period (March-September 2020). In addition, we also compared the period of intense lockdown (March-May 31 st 2020) with the pre-pandemic period. Results: There were 3424 patient encounters in the pre-pandemic period and 3524 encounters in the pandemic period. Comparing these periods, weekly admissions declined (median [Q1 Q3] 160 [145,168] to 113 [98.5,134]; p=0.00002); unit turnover declined (median [Q1 Q3] 12.1 [11.32,13] to 8.58 [7.24,10], p<0.00001), and APACHE II score increased (median [Q1 Q3] 19 [19,20] to 21 [20,22] ; p<0.00001). Unadjusted ICU mortality increased (9.3% to 11.7%, p=0.01519) and the length of ICU stay was similar (median [Q1 Q3] 2.11 [2, 2] vs. 2.24 [2, 3] days; p=0.15096). Conclusion: Our registry-based analysis of the impact of COVID-19 on non-COVID critical care demonstrates significant disruptions to healthcare utilization during the pandemic and an increase in the severity of illness.

Variation in therapeutic strategies for the management of severe COVID-19 in India: A nationwide cross-sectional survey.

AIM: During the pandemic of coronavirus disease 2019 (COVID-19), the physicians are using various off-label therapeutics to manage COVID-19. We undertook a cross-sectional survey to study the current variation in therapeutic strategies for managing severe COVID-19 in India. METHODS: From January 4 to January 18, 2021, an online cross-sectional survey was conducted among physicians involved in the management of severe COVID-19. The survey had three sections: 1. Antiviral agents, 2. Immunomodulators, and 3. Adjuvant therapies. RESULTS: 1055 respondents (from 24 states and five union territories), of which 64.2% were consultants, 54.3% working in private hospitals, and 39.1% were from critical care medicine completed the survey. Remdesivir (95.2%), antithrombotics (94.2%), corticosteroids (90.3%), vitamins (89.7%) and empirical antibiotics (85.6%) were the commonly used therapeutics. Ivermectin (33%), convalescent plasma (28.6%) and favipiravir (17.6%) were other antiviral agents used. Methylprednisolone (50.2%) and dexamethasone (44.1%) were preferred corticosteroids and at a dose equivalent of 8 mg of dexamethasone phosphate (70.2%). There was significant variation among physicians from different medical specialities in the use of favipiravir, corticosteroids, empirical antibiotics and vitamins. CONCLUSION: There is a considerable variation in the physicians' choice of therapeutic strategies for the management of severe COVID-19 in India, as compared with the available evidence.

Macrolevel association of COVID-19 with non-communicable disease risk factors in India.

BACKGROUND & AIMS: Greater COVID-19 related mortality has been reported among persons with various non-communicable diseases (NCDs). We performed an ecological study to determine the association of state-level cases and deaths with NCD risk factors and healthcare and social indices. METHODS: We obtained cumulative national and state-level data on COVID-19 cases and deaths from publicly available database www.covid19india.org from February to end November 2020. To identify association with major NCD risk factors, NCDs, healthcare related and social variables we obtained data from public sources. Association was determined using univariate and multivariate statistics. RESULTS: More than 9.5 million COVID-19 cases and 135,000 deaths have been reported in India towards end of November 2020. There is significant positive correlation (Pearson r) of state-level COVID-19 cases and deaths per million, respectively, with NCD risk factors- obesity (0.64, 0.52), hypertension (0.28, 0.16), diabetes (0.66, 0.46), NCD epidemiological transition index (0.58, 0.54) and ischemic heart disease mortality (0.22, 0.33). Correlation is also observed with indices of healthcare access and quality (0.71, 0.61), urbanization (0.75, 0.73) and human (0.61, 0.56) and sociodemographic (0.70, 0.69) development. Multivariate adjusted analyses shows strong correlation of COVID-19 burden and deaths with NCD risk factors (r2 = 0.51, 0.43), NCDs (r2 = 0.32, 0.16) and healthcare (r2 = 0.52, 0.38). CONCLUSIONS: COVID-19 disease burden and mortality in India is ecologically associated with greater state-level burden of NCDs and risk factors, especially obesity and diabetes.