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Background COVID-19 has spread as two distinct surges of cases in many countries. Several countries have reported differences in disease severity and mortality in the two waves. Objective Compare the in-hospital mortality in the two COVID-19 waves at a tertiary care hospital in India. Methods We conducted a retrospective data collection. Distinct periods of surges in cases and admissions were defined as the first wave spanning from March 2020 to December 2020 and the second wave from April 2021 to June 21, 2021. The primary outcome of this study was to compare mortality rates in terms of total hospital mortality rate (TMR) and case fatality rate (CFR). Results Mortality rates of wave 2 were approximately 10 times that of wave 1 (TMR of 20.3% in wave 2 versus 2.4% in wave 1 and CFR of 1.5% versus 17.7% in wave 1 and 2, respectively). Mortalities in wave 2 had a larger proportion of severe disease at presentation, faster progression of symptoms to death, and more patients without any chronic comorbid condition dying due to the direct effect of COVID-19 acute respiratory distress syndrome (ARDS). Conclusion Our data matches the worldwide reported pooled hospital mortality figures and shows the comparative difference in disease severity between the two waves.
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Background In contrast to the first wave, the second COVID-19 wave has taken a huge toll affecting maternal outcomes adversely. The aim of this study was to investigate the consequences of the severity of maternal disease on perinatal outcomes and the risk of vertical transmission and to find out the factors associated with adverse fetomaternal outcomes. Materials and methods This was an ambispective observational study including COVID-19 infected pregnant patients; 20-40 years of age irrespective of gestational age admitted at Government Institute of Medical Sciences, UP, India. The patients were divided into two groups: CW 1 (COVID-19 Wave 1): Patients admitted between April 1, 2020 and December 31, 2020 and CW 2 (COVID-19 Wave 2): Patients admitted between April 1, 2021 to May 31, 2021. Data in two groups were compared and analyzed with respect to the clinical profile, laboratory parameters, fetomaternal outcome and the risk of vertical transmission of COVID-19 infection. Results We included 134 eligible patients in the CW1 group and 58 in the CW2 group. Significantly more patients were symptomatic in CW2 (23.1% versus 60.3%, p= <0.001). In CW2, maternal neutrophil-lymphocyte ratio (NLR), C-reactive protein (CRP) and D-Dimer were significantly raised along with abnormal chest x-rays. There was a significant increase in maternal mortality in CW2 (1.5% vs 13.7%; p≤0.001). A total of 76 patients delivered in CW1 and 26 in CW2 with increased incidence of cesarean section (43.4%; 42.3%), preterm deliveries (28.2%; 37%) and low birth weight (34.6%; 25.9%) in both waves, the difference among two groups being statistically insignificant. Compared to CW1, perinatal mortality was significantly increased in CW2 (2.2% vs 15.5%; p<0.001). Though nasopharyngeal swab tested positive in four neonates in CW1 and two neonates in CW2, no evidence of vertical transmission was observed even with increased severity of maternal illness. On regression analysis, D-Dimer and CRP were found to have a positive association with maternal and perinatal mortality. Conclusion The severity of maternal illness proportionately affects the neonatal outcome with no impact on the risk of vertical transmission of infection. D-Dimer and CRP have emerged as independent predictors for maternal and perinatal mortality and hence can be utilized in obstetrics decision-making.
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PURPOSE: The current study was aimed to evaluate depression, anxiety, and stress among nurses during the COVID-19 (wave III) at a public hospital in Quetta city, Pakistan. PARTICIPANTS AND METHODS: By using the validated Depression, Anxiety and Stress Scale - 21, three hundred and twenty-five nurses practicing at the Sandeman Provincial Hospital, Quetta were approached for data collection. Through SPSS, both descriptive and inferential statistics were used during data analysis. Chi-square test was used to assess the goodness-of-fit between observed values and demographic variables. The factors that were significantly associated with depression, anxiety, and stress were further assessed by binary logistic regression analysis. The statistical significance was set at 0.05. RESULTS: Out of the 325 nurses, 297 participated in the study with a response rate of 91.3%. Mild depression and stress were reported in the current cohort of nurses (6.00 ± 5.30 and 8.01 ± 4.47), respectively. The mean anxiety score was 6.68 ± 4.86 indicating moderate anxiety among the study respondents. Marital status, working department, and job experience were significantly associated with depression, anxiety, and stress with moderate effect size (>0.3). The logistic regression reported department in which nurses were stationed (adjusted OR = 2.54, 95% CI = 1.118-1.415, p < 0.001) and job experience (adjusted OR = 1.004, 95% CI = 1.001-1.215, p = 0.002) as significant predictors of depression, anxiety and stress. Nurses working in the corona ward were more likely to develop depression, anxiety and stress by a factor of 2.54 and married nurses with a factor of 1.004 provided controlling other confounding factors. CONCLUSION: Moderate depression, anxiety, and stress were observed among nurses and it calls for hospital management to consider interventions for all nurses irrespective of their present working departments. Facilitating continuous and comprehensive support mechanisms aimed at protecting nurses' mental health is of great importance during pandemics. The findings of the study have some clear suggestions for mental health advocacy among nurses that are essential for improving the quality of services and patients' safety.
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INTRODUCTION: Policymakers and researchers describe the COVID-19 epidemics by waves without a common vocabulary on what constitutes an epidemic wave, either in terms of a working definition or operationalization, causing inconsistencies and confusions. A working definition and operationalization can be helpful to characterize and communicate about epidemics. METHODS: We propose a working definition of epidemic waves in the ongoing COVID-19 pandemic and an operationalization based on the public data of the effective reproduction number R. RESULTS: Our operationalization characterizes the numbers and durations of waves (upward and downward) in 179 countries. DISCUSSIONS: The proposed working definition of epidemic waves provides a common and consistent vocabulary that can enable healthcare organizations and policymakers to make better description and assessment of the COVID crisis to make more informed resource planning, mobilization, and allocation temporally in the continued COVID-19 pandemic.