Predictors of Mortality among Patients Hospitalized with COVID-19 during the First Wave in India: A Multisite Case-Control Study.

Severe acute respiratory syndrome coronavirus 2 disease (COVID-19) has caused more than 6 million deaths globally. Understanding predictors of mortality will help in prioritizing patient care and preventive approaches. This was a multicentric, unmatched, hospital-based case-control study conducted in nine teaching hospitals in India. Cases were microbiologically confirmed COVID-19 patients who died in the hospital during the period of study and controls were microbiologically confirmed COVID-19 patients who were discharged from the same hospital after recovery. Cases were recruited sequentially from March 2020 until December-March 2021. All information regarding cases and controls was extracted retrospectively from the medical records of patients by trained physicians. Univariable and multivariable logistic regression was done to assess the association between various predictor variables and deaths due to COVID-19. A total of 2,431 patients (1,137 cases and 1,294 controls) were included in the study. The mean age of patients was 52.8 years (SD: 16.5 years), and 32.1% were females. Breathlessness was the most common symptom at the time of admission (53.2%). Increasing age (adjusted odds ratio [aOR]: 46-59 years, 3.4 [95% CI: 1.5-7.7]; 60-74 years, 4.1 [95% CI: 1.7-9.5]; and ≥ 75 years, 11.0 [95% CI: 4.0-30.6]); preexisting diabetes mellitus (aOR: 1.9 [95% CI: 1.2-2.9]); malignancy (aOR: 3.1 [95% CI: 1.3-7.8]); pulmonary tuberculosis (aOR: 3.3 [95% CI: 1.2-8.8]); breathlessness at the time of admission (aOR: 2.2 [95% CI: 1.4-3.5]); high quick Sequential Organ Failure Assessment score at the time of admission (aOR: 5.6 [95% CI: 2.7-11.4]); and oxygen saturation < 94% at the time of admission (aOR: 2.5 [95% CI: 1.6-3.9]) were associated with mortality due to COVID-19. These results can be used to prioritize patients who are at increased risk of death and to rationalize therapy to reduce mortality due to COVID-19.

The Effectiveness of SARS-CoV-2 Vaccination in Preventing Severe Illness and Death - Real-world Data from a Cohort of Patients Hospitalized with COVID-19.

Background: While long-term studies on the correlates of protection, vaccine effectiveness, and enhanced surveillance are awaited for SARS-CoV-2 vaccine, studies on breakthrough infections help understand the nature and course of this illness among vaccinated individuals and guide in public health preparedness. This study aims to compare the differences in the hospitalization outcomes SARS-CoV-2 infection of fully vaccinated individuals with with those of unvaccinated and partially vaccinated individuals. Materials and Methods: Single institution observational cohort study. This study compared the differences in clinical, biochemical parameters and the hospitalization outcomes of 53 fully vaccinated individuals with those of unvaccinated (1464) and partially vaccinated (231) individuals, among a cohort of 2,080 individuals hospitalized with SARS-CoV-2 infection. Descriptive statistics and propensity-score weighted multivariate logistic regression analysis adjusting for clinical and laboratory parameters were used to compare the differences and to identify factors associated with outcomes. Results: Completing the course of vaccination protected individuals from developing severe COVID-19 as evidenced by lower proportions of those with hypoxia, abnormal levels of inflammatory markers, requiring ventilatory support, and death compared to unvaccinated and partially vaccinated individuals. There were no differences in these outcomes among patients who received either vaccine type approved in India. Conclusions: Efforts should be made to improve the vaccination rates as a timely measure to prepare for the upcoming waves of this highly transmissible pandemic. Vaccination rates of the communities may also guide in the planning of the health needs and appropriate use of medical resources.

Predicting Timelines in Healthcare Infrastructure Projects: Learnings From an Apex Tertiary Care Teaching Hospital in North India.

Aim Healthcare infrastructure projects are a requirement for the progress of the country. The aim of this study was to identify major completed healthcare infrastructure projects in a tertiary teaching hospital in Northern India and to find out the various factors that influenced the success or failures and the cost and time overrun during the project implementation. Materials and methods Periodical review meetings were conducted, right from the planning to the execution and commissioning of these projects. All these had been documented as minutes of the meetings, and the records of the same had been maintained. The study comprised of studying all these documents in detail and finding an answer to the research questions. Results Four major completed projects of a tertiary medical institute of India, All India Institute of Medical Sciences (AIIMS), New Delhi, India, were studied. These were the new Outpatient Department (OPD) Block, Burns and Plastic Surgery Block (BPS), Maternal and Child Health Block (MCH), and National Cancer Institute (NCI). Our study revealed that there was no dearth of funds, and hence, there was no cost overrun in any of the projects. Whenever the funds had to be reworked, the funds that were asked for were released. However, there was a considerable time overrun in all the projects ranging from about one to four years. The various reasons that could be attributed to this are the delay in obtaining statutory clearances, political interference, communication hurdles, improper planning, introducing a project officer late into the project, safety concerns, and the COVID-19 pandemic. Conclusions This study focuses mainly on the very important hurdles that were faced during the implementation of the projects and tries to suggest an average time frame for various activities for project implementation in a healthcare project in the Indian scenario. This can be taken as blueprints while planning newer healthcare projects of this magnitude.

Patient Satisfaction Scale for Hospitalized COVID-19 Patients: Development and Psychometric Properties.

Objective: Patients' appraisal of health care delivery system and services during COVID-19 could be an important yardstick for hospital administration and policy makers. The study attempted to develop and test the psychometric properties of a new patient satisfaction scale for COVID-19 patients. Methods: A total of 446 COVID-19-hospitalized COVID-19 patients in a tertiary care designated COVID-19 care hospital constituted the sample. Factor structure of scale was obtained using exploratory factor analysis (EFA). Internal consistency, split-half reliability, and validity (e.g., content, convergent, and divergent) were also evaluated. Results: Item reduction resulted in a 21-item scale consisting of three factors, namely COVID-19-focused treatment facility, COVID-19-appropriate hospital facility, and COVID-19-specific daily needs service facility. It demonstrated excellent internal consistency and reliability (Cronbach's alpha [α]: 0.93; Split-half reliability: 0.90), excellent content validity, and adequate convergent and divergent validity. The scale had no floor effects. Inter-index correlations were significant. To our knowledge: this scale is the first such psychometrically robust self-rated scale for patients' perception about hospital services during COVID-19. Available in both Hindi and English languages, the scale provides a quick measure of patient experience regarding CCOVID-19-specific hospital services.

Clinical features, demography, and predictors of outcomes of SARS-CoV-2 infection at a tertiary care hospital in India: A cohort study.

BACKGROUND: The "second wave" of the COVID-19 pandemic hit India from early April 2021 to June 2021. We describe the clinical features, treatment trends, and baseline laboratory parameters of a cohort of patients with SARS-CoV-2 infection and their association with the outcome. METHODS: This was a retrospective cohort study. Multivariate logistic regression models were fitted to identify clinical and biochemical predictors of developing hypoxia, deterioration during the hospital stay, and death. RESULTS: A total of 2080 patients were included. The case fatality rate was 19.5%. Among the survivors, the median duration of hospital stay was 8 (5-11) days. Out of 853 (42.3%%) of patients who had COVID-19 acute respiratory distress syndrome at presentation, 340 (39.9%) died. Patients aged >45 years had higher odds of death as compared to the 18-44 years age group. Vaccination reduced the odds of death by 40% (odds ratio [OR] [95% confidence interval [CI]]: 0.6 [0.4-0.9], P = 0.032). Patients with hyper inflammation at baseline as suggested by leukocytosis (OR [95% CI]: 2.1 [1.5-3.1], P < 0.001), raised d-dimer >500 mg/dL (OR [95% CI]: 3.2 [2.2-4.7], P < 0.001), and raised C-reactive peptide >0.5 mg/L (OR [95% CI]: 3.7 [2.2-13], P = 0.037) had higher odds of death. Patients who were admitted in the 2nd week had lower odds and those admitted in the 3rd week had higher odds of death. CONCLUSION: This study shows that vaccination status and early admission during the inflammatory phase can change the course of illness of these patients. Improving vaccination rates and early admission of patients with moderate and severe COVID-19 can improve the outcomes.

Single-dose oral ivermectin in mild and moderate COVID-19 (RIVET-COV): A single-centre randomized, placebo-controlled trial.

INTRODUCTION: Ivermectin is an antiparasitic drug which has in-vitro efficacy in reducing severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) viral load. Hence, Ivermectin is under investigation as a repurposed agent for treating COVID-19. METHODS: In this pilot, double blind, randomized controlled trial, hospitalized patients with mild-to-moderate COVID-19 were assigned to a single oral administration of an elixir formulation of Ivermectin at either 24 mg or 12 mg dose, or placebo in a 1:1:1 ratio. The co-primary outcomes were conversion of RT-PCR to negative result and the decline of viral load at day 5 of enrolment. Safety outcomes included total and serious adverse events. The primary outcomes were assessed in patients who had positive RT-PCR at enrolment (modified intention-to-treat population). Safety outcomes were assessed in all patients who received the intervention (intention-to-treat population). RESULTS: Among the 157 patients randomized, 125 were included in modified intention-to-treat analysis. 40 patients each were assigned to Ivermectin 24 mg and 12 mg, and 45 patients to placebo. The RT-PCR negativity at day 5 was higher in the two Ivermectin arms but failed to attain statistical significance (Ivermectin 24 mg, 47.5%; 12 mg arm, 35.0%; and placebo arm, 31.1%; p-value = 0.30). The decline of viral load at day 5 was similar in each arm. No serious adverse events occurred. CONCLUSIONS: In patients with mild and moderate COVID-19, a single oral administration of Ivermectin did not significantly increase either the negativity of RT-PCR or decline in viral load at day 5 of enrolment compared with placebo.

Seroprevalence of antibodies to SARS-CoV-2 in healthcare workers & implications of infection control practice in India.

Background & objectives: Healthcare workers (HCWs) are considered to be at a high risk of contracting COVID-19 infection. Besides, control of nosocomial infections transmitted from HCWs to the patients is also a cause of concern. This study was undertaken to investigate the seroprevalence of antibodies against the SARS-CoV-2 virus among the hospital staff of a tertiary care health facility in north India. Methods: The HCWs were tested for SARS-CoV-2 serology (IgG+IgM) using chemiluminescence immunoassay between June 22 and July 24, 2020. Venous blood (2 ml) was collected and tested for SARS-CoV-2 IgG and IgM antibodies. Results: Of the 3739 HCWs tested, 487 (13%) were positive for total SARS-CoV-2 antibodies. The highest seroprevalence was observed in administrative staff (19.6%) and least in physicians (5.4%). The staff who used public (20%) and hospital transportation (16.9%) showed higher seroprevalence compared to staff using personal transportation (12.4%). No difference was observed between HCWs posted in COVID versus non-COVID areas. All seropositive symptomatic HCWs in our study (53.6%) had mild symptoms, and the remaining 46.4 per cent were asymptomatic. The antibody positivity rate progressively increased from 7.0 per cent in the first week to 18.6 per cent in the fourth week during the study. Interpretation & conclusions: The presence of antibodies to SARS-CoV-2 in a significant number of asymptomatic HCWs, association with the use of public transport, relatively lower seroprevalence compared with the non-HCWs and rising trend during the period of the study highlight the need for serosurveillance, creating awareness for infection control practices including social distancing and study of infection dynamics in the community for effective control of an infectious pandemic.

How to rapidly design and operationalise PPE donning and doffing areas for a COVID-19 care facility: quality improvement initiative.

INTRODUCTION: Effective implementation of standard precautions specific to COVID-19 is a challenge for hospitals within the existing constraints of time and resources. AIM: To rapidly design and operationalise personal protective equipment (PPE) donning and doffing areas required for a COVID-19 care facility. METHODS: Literature review was done to identify all issues pertaining to donning and doffing in terms of Donabedian's structure, process and outcome. Training on donning and doffing was given to hospital staff. Donning and doffing mock drills were held. 5S was used as a tool to set up donning and doffing areas. Instances of donning and doffing were observed for protocol deviations and errors. Plan-do-study-act cycles were conducted every alternate day for 4 weeks. The initiative was reported using Standards for QUality Improvement Reporting Excellence (SQUIRE) guidelines. RESULTS: Best practices in donning and doffing were described. Our study recommends a minimum area of 16 m2 each for donning and doffing rooms. Verbally assisted doffing was found most useful than visual prompts. DISCUSSION: Challenges included sustaining the structure and process of donning and doffing, varied supplies of PPE which altered sequencing of donning and/or doffing, and training non-healthcare workers such as plumbers, electricians and drivers who were required during emergencies in the facility. CONCLUSION: Our study used evidence-based literature and quality improvement (QI) tools to design and operationalise donning and doffing areas with focus on people, task and environment. Our QI will enable healthcare facilities to rapidly prototype donning and doffing areas in a systematic way.

Clinico-demographic profile & hospital outcomes of COVID-19 patients admitted at a tertiary care centre in north India.

BACKGROUND & OBJECTIVES: In December 2019, a novel coronavirus (SARS-CoV-2) emerged in China and rapidly spread globally including India. The characteristic clinical observations and outcomes of this disease (COVID-19) have been reported from different countries. The present study was aimed to describe the clinico-demographic characteristics and in-hospital outcomes of a group of COVID-19 patients in north India. METHODS: This was a prospective, single-centre collection of data regarding epidemiological, demographic, clinical and laboratory parameters, management and outcome of COVID-19 patients admitted in a tertiary care facility in north India. Patient outcomes were recorded as death, discharge and still admitted. RESULTS: Data of 144 patients with COVID-19 were recorded and analyzed. The mean age of the patients was 40.1±13.1 yr, with 93.1 per cent males, and included 10 (6.9%) foreign nationals. Domestic travel to or from affected States (77.1%) and close contact with COVID-19 patients in congregations (82.6%) constituted the most commonly documented exposure. Nine (6.3%) patients were smokers, with a median smoking index of 200. Comorbidities were present in 23 (15.9%) patients, of which diabetes mellitus (n=16; 11.1%) was the most common. A significant proportion of patients had no symptoms (n=64; 44.4%); among the symptomatic, cough (34.7%) was the most common symptom followed by fever (17.4%) and nasal symptoms (2.15%). Majority of the patients were managed with supportive treatment with hydroxychloroquine and azithromycin given on a case-to-case basis. Only five (3.5%) patients required oxygen supplementation, four (2.8%) patients had severe disease requiring intensive care, one required mechanical ventilation and mortality occurred in two (1.4%) patients. The time to reverse transcription-polymerase chain reaction (RT-PCR) negativity was 16-18 days. INTERPRETATION & CONCLUSIONS: In this single-centre study of 144 hospitalized patients with confirmed COVID-19 in north India, the characteristic findings included younger age, high proportion of asymptomatic patients, long time to PCR negativity and low need for intensive care unit care.