Predictors of Mortality Among Post-COVID-19 Discharged Patients in Northern India: A Case-Control Study.

Introduction The post-discharge all-cause mortality of COVID-19 disease is known, but predictors for the same have not been studied as much. The objective of this study was to develop an understanding of predictors of mortality to guide in prioritizing patient care and preventive approaches. Methods This current research is a single-center unmatched case-control study conducted at a tertiary care center in northern India, between April and September 2022. The data were extracted retrospectively from the hospital's electronic medical records of patients with the assistance of trained physicians using a standardized data extraction sheet. Results A total of 184 patients were enrolled and were segregated into two groups, cases and control, with 92 in each. The mean age of patients was 49.3 ± 17.53 years. The mortality group had a higher mean age (53.24 ± 18.53 yrs) as compared to the control group (45.37 ± 15.58 yrs, p=0.002). Bivariate analysis revealed a significant difference in the two groups with respect to O2 saturation at the time of admission (case - 91.12 ± 12.49 %, control - 95.46 ± 5.01 %, p=0.003); maximum O2 flow rate (L/min) (case - 11.01 ± 22.2, control - 6.41 ± 13.31, p=0.04); ICU need (p=0.005), cancer (p=0.001), O2 requirement at discharge (p=0.001) and acute kidney injury (AKI; p=0.007). On multiple regression analysis, cancer (adjusted odds ratio (aOR) - 2.469; 95% CI 1.183-5.150, p=0.016), ICU admission (aOR - 2.446; 95% CI 1.212-4.938, p=0.013), oxygen at discharge (aOR - 2.340; 95% CI 0.971-5.640, p=0.0586) and AKI (aOR - 5.6; 95% CI 2.351- 13.370, p=0.00) only found to be significant. Conclusion Among the patients released from the hospital post-COVID-19 treatment, the following aspects oxygen requirement (2.3 times), malignancy (2.4 times), ICU admission (2.4 times), and AKI (5.6 times) are risk factors of mortality. The presence of these variables would warrant a close follow-up for these patients in order to decrease post-COVID mortality.

Comparative Study Between the First and Second Wave of COVID-19 Deaths in India: A Single Center Study.

Introduction  The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is continuously evolving, and many mutant variants of the virus are circulating in the world. Recurrent waves of COVID-19 have caused enormous mortality all across the globe. Considering the novelty of the virus, it becomes crucial for healthcare experts and policymakers to understand the demographic and clinical attributes of inpatient deaths in the first and second waves of COVID-19. Methods This hospital record-based comparative study was conducted at a tertiary care hospital in Uttarakhand, India. The study included all COVID-19 RT PCR-positive patients admitted to the hospital during the first wave, from 1st April 2020 to 31st January 2021, and the second wave from 1st March 2021 to 30th June 2021. Comparisons were made with respect to demographic, clinical, laboratory parameters, and course of hospital stay. Results The study exhibited 11.34% more casualties in the second wave, with the number of deaths being 424 and 475 for the first and second waves, respectively. A male preponderance of mortality was evident in both waves with significant differences (p=0.004). There was no significant difference in age between the two waves (p=0.809). The significantly different comorbidities were hypertension (p=0.003) and coronary artery disease (p=0.014). The clinical manifestations demonstrating a significant difference were cough (p=0.000), sore throat (p=0.002), altered mental status (p=0.002), headache (p=0.025), loss of taste and smell (p=0.001), and tachypnea (p=0.000). The lab parameters with a significant difference across both waves were lymphopenia (p=0.000), elevated aspartate aminotransferase (p=0.004), leukocytosis (p=0.008), and thrombocytopenia (p=0.004). During the hospital course of the second wave, in terms of intensive care unit stay, the need for non-invasive ventilation and inotrope support was higher. The complications manifesting in the form of acute respiratory distress syndrome and sepsis were observed more in the second wave. A significant difference was discerned in the median duration of hospital stay in both waves (p=0.000). Conclusion Despite being of shorter duration, the second wave of COVID-19 culminated in more deaths. The study demonstrated that most of the baseline demographic and clinical characteristics attributed to mortality were more common during the second wave of COVID-19, including lab parameters, complications, and duration of hospital stays. The unpredictable nature of COVID-19 waves calls for instituting a well-planned surveillance mechanism in place to identify the surge in cases at the earliest possible time and prompt response, along with developing infrastructure and capacity to manage complications.

Predictors of Mortality Among Post-COVID-19 Discharged Patients in Northern India: A Case-Control Study

Introduction The post-discharge all-cause mortality of COVID-19 disease is known, but predictors for the same have not been studied as much. The objective of this study was to develop an understanding of predictors of mortality to guide in prioritizing patient care and preventive approaches. Methods This current research is a single-center unmatched case-control study conducted at a tertiary care center in northern India, between April and September 2022. The data were extracted retrospectively from the hospital's electronic medical records of patients with the assistance of trained physicians using a standardized data extraction sheet. Results A total of 184 patients were enrolled and were segregated into two groups, cases and control, with 92 in each. The mean age of patients was 49.3 ± 17.53 years. The mortality group had a higher mean age (53.24 ± 18.53 yrs) as compared to the control group (45.37 ± 15.58 yrs, p=0.002). Bivariate analysis revealed a significant difference in the two groups with respect to O2 saturation at the time of admission (case - 91.12 ± 12.49 %, control - 95.46 ± 5.01 %, p=0.003);maximum O2 flow rate (L/min) (case - 11.01 ± 22.2, control - 6.41 ± 13.31, p=0.04);ICU need (p=0.005), cancer (p=0.001), O2 requirement at discharge (p=0.001) and acute kidney injury (AKI;p=0.007). On multiple regression analysis, cancer (adjusted odds ratio (aOR) - 2.469;95% CI 1.183-5.150, p=0.016), ICU admission (aOR - 2.446;95% CI 1.212-4.938, p=0.013), oxygen at discharge (aOR - 2.340;95% CI 0.971-5.640, p=0.0586) and AKI (aOR - 5.6;95% CI 2.351- 13.370, p=0.00) only found to be significant. Conclusion Among the patients released from the hospital post-COVID-19 treatment, the following aspects oxygen requirement (2.3 times), malignancy (2.4 times), ICU admission (2.4 times), and AKI (5.6 times) are risk factors of mortality. The presence of these variables would warrant a close follow-up for these patients in order to decrease post-COVID mortality.

Complete heart block in COVID-19 without prior cardiac disease.

Cardiac involvement in COVID-19 is not rare but underdiagnosed. We report a 78-year-old man with COVID-19 and complete heart block, timely managed by teamwork involving internist, cardiologist, and intensivist. This case highlights the importance of involvement of the conducting system of the heart in COVID-19 that needs immediate life-saving intervention, especially in community.

The epidemiology and dynamics of COVID-19 disease transmission among healthcare workers of a tertiary healthcare setting in India.

Context: The novel coronavirus disease 2019 (COVID-19) that has emerged as a pandemic now has put health care workers (HCWs) at great risk as they are the warriors in frontlines screening and treating the infected patients. When a COVID-19-positive HCW is identified, its contacts need to be traced to check the spread of the infection among patients and other HCWs. Aims: This study was aimed to study epidemiology and risk factors associated with severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) infection among HCWs and to quantify the risk of infection among HCWs in a tertiary level health care setting. Settings and Design: This cross-sectional study enrolled all the HCWs who were exposed to a patient with COVID-19 in a tertiary level health care center, Rishikesh, Uttarakhand from 1st May to 30th July, 2020. Methods and Material: All the exposed HCWs were followed up for 14 days after the last exposure to a patient with confirmed COVID-19 infection. Epidemiological data were obtained using structured interviews. Statistical Analysis Used: The data were analyzed using SPSS 23.0. Frequencies and proportions were calculated for descriptive variables, and risk ratios were calculated for risk factors affecting the transmission of disease. Results: We observed that 1,141 HCWs of the tertiary level health care hospital were exposed to COVID-19 patients during the study period. A total of 22 HCWs were tested COVID-19 positive among these exposed HCWs. Univariate analysis revealed a high risk of exposure to be significantly associated with a higher secondary attack rate of SARS CoV-2. Conclusions: The study demonstrates the risk of COVID-19 transmission through asymptomatic carriers. Therefore, periodic testing of all health care workers is necessary to ensure early mitigation of the shortage of health care providers.

Clinical Characteristics of 100 Patients With COVID-19-Associated Mucormycosis From a Tertiary Care Center in North India.

Background Fungal infection in patients with coronavirus disease 2019 (COVID-19) has emerged as a new challenge in healthcare facilities. This study aimed to describe the demographic and clinical characteristics of COVID-19-associated mucormycosis (CAM). Methodology This retrospective, single-center case series included patients who were hospitalized and diagnosed with COVID-19 and mucormycosis at the All India Institute of Medical Sciences, Rishikesh (North India) from April 15, 2021, onwards and last followed up on June 30, 2021. Demographic, clinical, laboratory, radiological, microbiological, pathological, and outcome data were then collected and analyzed. Results Of the 100 consecutive inpatients with CAM, 95 (95%) had diabetes mellitus. At the onset of illness, the most common manifestations were facial swelling (85%), eye swelling (83%), headache (68%), pain around the eyeball (67%), malaise (57%), and fever (50%). The most common organ involved on examination was the nose and paranasal sinus (96%), followed by the orbit (83%), palate (19%), and cranial nerves (7%). Pulmonary involvement was seldom observed (1%). Predominant pathological findings were the presence of aseptate hyphae (75%), necrosis (75%), angioinvasion (36%), and perineural invasion (2.6%). During the last follow-up, 13 patients died, with 11 (84.6%) having severe COVID-19 and two (15.3%) having moderate COVID-19. Conclusions Steroid use and diabetes mellitus are the significant risk factors of CAM. Patients with CAM usually present with face/eye swelling with radiological involvement of the nose and sinus and may die because of severe COVID-19.

Seroprevalence of Antibodies Against SARS-CoV-2 Among Health Care Workers at a Tertiary Care Hospital in Uttarakhand: A Retrospective Study.

Background The number of confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is vastly underestimated. In this context, seroprevalence surveys are of utmost importance to assess the proportion of the population that has already developed antibodies against the virus and might potentially be protected against subsequent infection. Health care workers (HCWs) face a greater risk of developing SARS-CoV-2. Therefore, the present retrospective study was undertaken to estimate the prevalence of antibodies against SARS-CoV-2 among healthcare workers at a tertiary care institute in Uttarakhand, India. Material and methods Data were gathered from hospital records of 704 healthcare workers admitted to the coronavirus disease 2019 (COVID-19) unit and attended the COVID OPD of the tertiary care institute between July 15 to Aug 14, 2020. Result Out of the 704 recruited participants, 14 (1.99%) were seropositive for immunoglobulin G (IgG) antibodies against SARS-CoV-2. The cumulative prevalence of SARS-CoV-2 infection (presence of antibodies or past or current positive reverse transcription-polymerase chain reaction (RT-PCR)) was 4.40%. Conclusion The present study shows a low prevalence of SARS-CoV-2 IgG antibodies among health care workers. In addition, posting in COVID-19-positive areas was not associated with increased seropositivity. More studies are warranted to assess IgG/IgM antibodies against SARS-CoV-2 among those HCWs who are exposed to COVID-19 patients.

Descriptive Epidemiology of COVID-19 Deaths during the First Wave of Pandemic in India: A Single-center Experience.

BACKGROUND: With the looming threat of recurrent waves of coronavirus disease-2019 (COVID-19) in the presence of mutated strains, it is of paramount importance to understand the demographic and clinical attributes of COVID-19 related mortalities in each pandemic wave. This could help policy makers, public health experts, and clinicians to better plan preventive and management strategies to curb COVID-19 related mortality. MATERIALS AND METHODS: This was a hospital record-based, retrospective cross-sectional descriptive study, at a tertiary care hospital in Rishikesh, India. The study included all deceased patients between March 2020 and January 2021 (first wave) who had tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by reverse transcription polymerase chain reaction (RT-PCR) and were hospitalized. The study was done to describe demography, clinical presentation, laboratory parameters, treatment given, and associated complications of all COVID-19 deaths. RESULT: Out of 424 mortalities, 298 (70.38%) were males and 126 (29.62%) were females. Mean age of patients was 55.85 ± 16.24 years, out of which 19.5% were less than 45 years old, 33.6% were 45-60 years old, and 41.8% were more than 60 years old. Comorbidity in the form of type II diabetes mellitus was present in 41.4% [95% CI (41.4-51.1)], hypertension in 39.8% [95% CI (35.1-44.6)], and coronary artery disease (CAD) in 15.2% [95% CI (11.8-18.8)]. At the time of presentation, shortness of breath was present in 73.6% [95% CI (69.1-77.7)], fever in 64.92% [95% CI (60.1-69.4)], and cough in 46.1%, [95% CI (41.1-50.8)]. Deranged laboratory parameters were lymphopenia in 90.2% [95% CI (86.8-92.7)], transaminitis in 59.7% [95% CI (54.8-64.3)], and hypercreatinemia in 37.7% [95% CI (33.1-42.5)]. Complications manifested were acute respiratory distress syndrome (ARDS) in 78.3% [95% CI (74-82.1)] and shock in 54.7% [95% CI (49.8-59.5)]. Median time duration between onset of symptom and hospital admission was 5 days (interquartile range (IQR) = 3-5 days) and median length of hospital stay was 9 days (IQR = 4-14 days). CONCLUSION: During the first pandemic wave, COVID-19 related mortality was 2.37 times higher among males, 2.14 times in the age group >60 than <45 years. The most common associated comorbidities (>40%) were type II diabetes mellitus and hypertension. The most common associated symptoms (>60%) were shortness of breath and fever. Lymphopenia was seen in >90% cases while liver involvement in 60% and kidney in 38% cases. Median hospital stay was doubled the prehospital illness. HOW TO CITE THIS ARTICLE: Tendulkar P, Pandey P, Panda PK, Bhadoria AS, Kulshreshtha P. Descriptive Epidemiology of COVID-19 Deaths during the First Wave of Pandemic in India: A Single-center Experience. Indian J Crit Care Med 2022;26(1):71-75.

Comparative Evaluation of Nasopharyngeal and Oropharyngeal Swab Based Rapid SARS-CoV-2 Antigen Detection and Real-Time RT-PCR for Diagnosis of COVID-19 in Tertiary Care Hospital.

PURPOSE: To assess and compare the diagnostic accuracy of the GenBody COVID-19 Antigen kit (GenBody Inc., Cheonan, South Korea) available in the market with the gold standard reverse transcription-polymerase chain reaction (RT-PCR) assay to detect severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). METHODS: Nasopharyngeal and oropharyngeal swabs were collected from suspected coronavirus disease 2019 (COVID-19) patients and tested by RT-PCR and GenBody Rapid antigen kit. Performance characteristic of the antigen kit was calculated. RESULTS: We tested nasopharyngeal swabs and oropharyngeal swabs (n=240). Amongst the 102 positive RT-PCR samples, the rapid antigen test detected 36 as positive, showing an overall sensitivity of 35.3%. All the samples detected positive with the antigen rapid test were also detected positive by RT-PCR. CONCLUSION: The performance of the rapid antigen kit was good with respect to high viral load samples, whereas those with lower levels were missed. Unfortunately, the overall low sensitivity of the antigen kit does not allow using it alone as the frontline testing kit for COVID-19 diagnosis.

Primary to tertiary COVID-19 transmission in a hospital - A cluster outbreak analysis.

The recent pandemic of SARS COV-2, a novel coronavirus requires research into understanding of its transmission dynamics and clinical presentations to help in understanding the spread of the disease, how to prevent it not only locally but also for national policy formulations. In this study, we described the transmission dynamics and clinical presentations of a cluster outbreak of SARS COV-2 in a tertiary level hospital. We also calculated the secondary attack rate for the primary, secondary, and tertiary transmissions. We conclude that symptomatic COVID-19 are primary and secondary contacts rather than tertiary contacts, hence, former to be quarantined. However, tertiary transmission is causing more COVID-19 compared to other transmissions in a hospital outbreak without further transmissibility. And overall secondary attack rate is very low in a hospital outbreak.

Non-COVID area of a tertiary care hospital: A major source of nosocomial COVID-19 transmission.

COVID-19 pandemic has spread to all corners of the world where infection control measures are being implemented. There is now a resurgence of the disease in health care facilities with documented in-hospital transmission and cases becoming positive in areas designated to cater for COVID-19 negative patients. We encountered such an event at our institution where fourteen patients (including health care workers) in the non-COVID zone were found to be COVID-19 positive. This highlights the loopholes in the system and the need for better and systematic infection control measures in hospitals that deal with infectious diseases with high infectivity. Findings also suggests the failure of government's criteria for suspected COVID-19 cases, and therefore needs a rethinking.