Anemia Among Children Under 5 Years in India: A District-Level Spatial Analysis Using NFHS-5 Data.

The 2015/2016 National Family Health Survey (NFHS-4) revealed that the prevalence of anemia among children under five years is 58% in India. Lack of nutritional supplementation and lack of health care facilities are found to be important influential factors of anemia among children. We aimed to examine district-level spatial heterogeneity and clustering of associated factors with childhood anemia in India. Geographically weighted regression was applied on the NFHS-5 data for 335 districts. Factors such as prevalence of nutritional supplementation in children and mothers, birth order, antenatal care, diarrhea in children, and stunting were found to be significantly associated. Spatial scan statistics technique identified three significant local spatial clusters of anemia. This study provides findings based on the latest available data which can further assist in the design and execution of tailor-made policies.

COVID-19 Pandemic: Impact on Admission, Diagnosis, and Treatment of Non-COVID-19 Patients Admitted to SARI ICU.

Background: Coronavirus disease 2019 (COVID-19) pandemic has caused a huge burden on healthcare services worldwide, severely affecting the management of non-COVID-19 patients as well. The Government of India has updated guidelines for the clinical management of COVID-19 illness, including severe acute respiratory infections (SARI) definition for triaging suspected COVID-19 cases in an isolated intensive care unit (ICU). The aim of this study was to estimate the adherence of clinicians in triaging COVID-19 suspects as per SARI definition to SARI ICU. This study also observed the impact of such triaging on admission, diagnosis, and treatment process of non-COVID-19 patients admitted to SARI ICU. Patients and methods: This cross-sectional study was conducted in a designated SARI ICU of two tertiary care medical college hospitals involving 78 patients from the month of June to July 2020. Data related to demographics, the severity of illness, advanced life supports, delay in diagnosis, intervention, and treatment of patients in SARI ICU due to suspected COVID-19 status were documented. Results: Adherence to SARI definition for triaging COVID-19-suspect cases was 19.2%. Despite hindrance in diagnosis (17.9%) and treatment (12.8%), mortality among patients in SARI ICU was limited to 14.10%. Results were insignificant when checked for various factors associated with mortality. Conclusion: Nonadherence to SARI definition may lead to undue delay in diagnosis, intervention, and treatment of non-COVID-19 cases. This may result in increased morbidity, mortality, and economic burden on patients and the healthcare system. key message: A rationale and just utilization of healthcare resources are need of the hour in the face of an enormous volume of SARI cases during COVID-19 pandemic. SARI criteria as implemented by the Ministry of Health and Family Welfare (MOHFW), Government of India, are a very important tool in triaging of COVID-19-suspect cases. Adequate measures should be in place in order to mitigate the inadequacies and deficiencies in the treatment of non-COVID-19 cases, which have occurred as a result of COVID-19 pandemic. How to cite this article: Arunachala S, Venkatesh BT, Bhatt MT, Puranik A, Rao S, Ravindranath S. COVID-19 Pandemic: Impact on Admission, Diagnosis, and Treatment of Non-COVID-19 Patients Admitted to SARI ICU. Indian J Crit Care Med 2021;25(8):853-859.

Weathering the Storm: Psychological Impact of COVID-19 Pandemic on Clinical and Nonclinical Healthcare Workers in India.

BACKGROUND: Coronavirus disease-2019 (COVID-19) pandemic has exposed healthcare workers (HCWs) to a unique set of challenges and stressors. Our frontline workers are under tremendous psychological pressure because of the ever-rising crisis. This study was done to assess the magnitude of the psychological impact of the COVID-19 pandemic on clinical and nonclinical HCWs in India. MATERIALS AND METHODS: It was a cross-sectional, online survey that was done from June 1, 2020, to July 4, 2020. A total of 313 clinical and nonclinical HCWs, who were directly or indirectly involved in patient care, participated in the study. The psychological impact was assessed in terms of four variables: insomnia, anxiety, depression, and stress. Insomnia was assessed by the Insomnia Severity Index (ISI). Anxiety and depression were assessed via the Patient Health Questionnaire-4 (PHQ-4), which included a 2-item anxiety scale and a 2-item depression scale (PHQ-2). Stress was assessed via the Perceived Stress Scale (PSS). We also compared the psychological impact of this pandemic between clinical and nonclinical HCWs. RESULTS: 7.3% of HCWs were having moderate insomnia, 3.8% had severe insomnia, and 20.8% were having subthreshold insomnia. Severe anxiety and depression were found in 6.7% of respondents. 8.0 and 32.3% of the respondents had moderate and mild anxiety-depression, respectively. 6.4% had high perceived stress. 47.6 and 46.0% of the respondents had moderate and low stress, respectively. There was a statistically significant difference in severe insomnia between clinical and nonclinical HCWs, whereas no significant difference in anxiety, depression, and stress between clinical and nonclinical HCWs. CONCLUSION: This study suggests that psychological morbidity is prevalent among both clinical and nonclinical HCWs and both males and females. Early intervention may be beneficial to prevent this issue. HOW TO CITE THIS ARTICLE: Sunil R, Bhatt MT, Bhumika TV, Thomas N, Puranik A, Chaudhuri S, et al. Weathering the Storm: Psychological Impact of COVID-19 Pandemic on Clinical and Nonclinical Healthcare Workers in India. Indian J Crit Care Med 2021;25(1):16-20.

Influence of VDR and HFE polymorphisms on blood lead levels of occupationally exposed workers.

Lead is a ubiquitous heavy metal toxin of significant public health concern. Every individual varies in their response to lead's toxic effects due to underlying genetic variations in lead metabolizing enzymes or proteins distributed in the population. Earlier studies, including our lab, have attributed the influence of ALAD (δ-Aminolevulinate dehydratase) polymorphism on blood lead retention and ALAD activity. The present study aimed to investigate the influence of VDR (Vitamin D receptor) and HFE (Hemochromatosis) polymorphisms in modulating blood lead levels (BLLs) of occupationally exposed workers. 164 lead-exposed subjects involved in lead alloy manufacturing and battery breaking and recycling processes and 160 unexposed controls with BLLs below 10 µg/dL recruited in the study. Blood lead levels, along with a battery of biochemical assays and genotyping, were performed. Regression analysis revealed a negative influence of BLLs on ALAD activity (p < 0.0001) and a positive influence on smokeless tobacco use (p < 0.001) in lead-exposed subjects. A predicted haplotype of the three VDR polymorphisms computed from genotyping data revealed that T-A-A haplotype increased the BLLs by 0.93 units (p ≤ 0.05) and C-C-A haplotype decreased the BLLs by 7.25 units (p ≤ 0.05). Further analysis revealed that the wild-type CC genotype of HFE H63D presented a higher median BLL, indicating that variant C allele may have a role in increasing the concentration of lead. Hence, the polymorphism of genes associated with lead metabolism might aid in predicting genetic predisposition to lead and its associated effects.

Spatio-temporal assessment of infant mortality rate in India.

BACKGROUND: Infant mortality rate (IMR) is globally identified by the policymakers as the marker of health of a population. OBJECTIVES: This study aimed to detect the change in hotspots of IMR in Indian states from the year 2000 to 2012, identify hotspots of IMR at district level in selected states from each of the six regions of India and determine the potential predictors of IMR after accounting for spatial autocorrelation. METHODS: Ecological study design was used to analyze state and district level data on IMR of India. For the first objective, the data were obtained from Sample Registration System. For the second objective, we classified India into six regions and selected a state in each region that had the highest IMR. The district level data on IMR and potential predictors were obtained from surveys, namely, Annual Health Survey, District Level Household and Facility Survey and Census. Spatio-temporal hotspots of IMR were examined using local indicators of spatial association statistic. Spatial regression was used to identify the potential predictors of IMR after accounting for spatial autocorrelation. RESULTS: Temporal hotspots of IMR were found in the central part of India. Spatial hotspots were identified in districts of Uttar Pradesh. A negative association of IMR existed with female literacy rate, mothers receiving antenatal checkup (%), and people living in urban areas (%). CONCLUSION: IMR continues to be a problem in the states that have previously shown to be poor performing. Certain districts within these states need emphasis for focused activities.

Mapping Neonatal Mortality in India: A Closer Look.

INTRODUCTION: Fifty-three percent of Indian under-5 deaths occur during the neonatal age group. Recognizing that there is a lack of illustrated district-level data on neonatal mortality in India, we mapped this to visually highlight districts where neonatal health issues require the most attention. METHODS: District-level estimates of 596 Indian districts were used to generate maps and to illustrate neonatal mortality rates (NMRs), absolute numbers of neonatal deaths; the best and worst performing districts (positive and negative deviants) in each Indian state; the neonatal female/male death ratio; and district lag in NMR reductions. RESULTS: The NMR ranged from 4.3 (Kannur, Kerala) to 65.1 (Datia, Madhya Pradesh), with the mean NMR being 29.8. Almost two-thirds of the districts (n = 380, 63.7%) had NMRs between 20 and 40. The top third of neonatal deaths could be accounted for by just 71 districts of a total of 596. CONCLUSION: There is an urgent need for up-to-date data on district-level neonatal mortality in India.