Quality of life in patients treated for COVID-19-associated mucormycosis at a tertiary care hospital.

OBJECTIVES: Coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) has emerged as a formidable infection in patients with COVID-19. The aggressive management of CAM affects quality of life (QOL); thus, this study was designed to assess the QOL in patients with CAM at a tertiary healthcare institution. METHODS: This cross-sectional study of 57 patients with CAM was conducted over 6 months using a semi-structured standard questionnaire (the abbreviated World Health Organization Quality of Life questionnaire [WHO-BREF]) and a self-rated improvement (SRI) scale ranging from 0 to 9. Cut-off values of ≤52 and <7 were considered to indicate poor QOL and poor improvement, respectively. The correlations of QOL and SRI scores were evaluated using Spearman rho values. RESULTS: In total, 27 patients (47.4%; 95% confidence interval [CI], 34.9%-60.1%) and 26 patients (45.6%; 95% CI, 33.4%-58.4%) had poor QOL and poor SRI scores, respectively. The overall median (interquartile range) QOL score was 52 (41-63). Headache (adjusted B, -12.3), localized facial puffiness (adjusted B , -16.4), facial discoloration (adjusted B, -23.4), loosening of teeth (adjusted B, -18.7), and facial palsy (adjusted B, -38.5) wer e significantly associated with the QOL score in patients with CAM. CONCLUSION: Approximately 1 in 2 patients with CAM had poor QOL and poor improvement. Various CAM symptoms were associated with QOL in these patients. Early recognition is the key to optimal treatment, improved outcomes, and improved QOL in patients with CAM.

Variation in biochemical parameters in COVID-19 patients admitted at a tertiary care dedicated COVID hospital: A prospective study.

Introduction: COVID-19 infection has a myriad of presentation. Rural India and other developing nations are relatively resource poor, not having access to modern specialized investigations. In this study, we tried to evaluate only biochemical parameters in predicting the severity of the infection. The aim of this study was to find a cost-effective means to predict the clinical course at the time of admission and thereby to reduce mortality and, if possible, morbidity by timely intervention. Materials and Methods: All COVID-19-positive cases admitted at our hospital from March 21 to December 31, 2020, were recruited in this study. The same acted as sham control at recovery. Results: We observed a significant difference in biochemical parameters at the time of admission and discharge, between mild/moderate disease and severe disease. We found slightly deranged liver function tests at admission, which becomes normal at the time of discharge. Urea, C-reactive protein (CRP), procalcitonin, lactate dehydrogenase, and ferritin concentrations in severe/critical patients were significantly higher than that in the mild/moderate group. Receiver operating characteristic curves were plotted to predict the severity on the basis of biochemical parameters independently, of the patients based on these values. Conclusion: We proposed cutoff values of certain biochemical parameters, which will help in judging the severity of the infection at admission. We developed a predictive model with a significant predictive capability for CRP and ferritin values, using normal available biochemical parameters, routinely done in resource-poor centers. Clinicians working in resource-poor situations will be benefitted by having an idea of the severity of the disease. Timely intervention will reduce mortality and severe morbidity.

Résumé Introduction: L'infection au COVID19 a une myriade de présentations. L'Inde rurale et d'autres pays en développement sont relativement pauvres en ressources, non avoir accès aux enquêtes spécialisées modernes. Dans cette étude, nous avons essayé d'évaluer uniquement les paramètres biochimiques pour prédire la gravité de l'infection. Le but de cette étude était de trouver un moyen rentable de prédire l'évolution clinique au moment de l'admission et ainsi de réduire la mortalité et, si possible, la morbidité par une intervention rapide. Matériels et méthodes: Tous les cas positifs au COVID19 admis à notre hospitalisés du 21 mars au 31 décembre 2020, ont été recrutés dans cette étude. La même chose a agi comme un contrôle factice lors de la récupération. Résultats: Nous avons observé une différence significative dans les paramètres biochimiques au moment de l'admission et de la sortie, entre une maladie légère/modérée et une maladie grave. Nous avons trouvé des tests de la fonction hépatique légèrement dérangés à l'admission, qui deviennent normaux au moment de la sortie. Urée, protéine Créactive (CRP, les concentrations de procalcitonine, de lactate déshydrogénase et de ferritine chez les patients sévères/critiques étaient significativement plus élevées que chez les patients légers/modérés groupe. Les courbes caractéristiques de fonctionnement du récepteur ont été tracées pour prédire la gravité sur la base de paramètres biochimiques indépendamment, deles patients en fonction de ces valeurs. Conclusion: Nous avons proposé des valeurs seuils de certains paramètres biochimiques, qui permettront de juger de la gravité de l'infection à l'admission. Nous avons développé un modèle prédictif avec une capacité prédictive significative pour les valeurs de CRP et de ferritine, en utilisant les paramètres biochimiques normaux disponibles, systématiquement effectués dans les centres pauvres en ressources. Les cliniciens travaillant dans des situations où les ressources sont limitées bénéficier d'avoir une idée de la gravité de la maladie. Une intervention rapide réduira la mortalité et la morbidité grave. Mots-clés: COVID19, ferritine, lactate déshydrogénase, urée.

Assessment of depression, anxiety and stress experienced by health care and allied workers involved in SARS-CoV2 pandemic.

Introduction: The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) causing coronavirus disease 2019 (COVID-19) has led to a global health crisis. Health workforce has been working vigorously in COVID-19 management. So, we have planned this study with an aim to assess the psychological profile of healthcare and allied workers involved in SARS-CoV2 pandemic and to look for associated factors. Methodology: A cross-sectional observational study was planned at All India Institute of Medical Sciences, Patna. Study population comprised of Health care workers and allied health care workers involved in COVID-19 management. Results: Data from 254 study participants have been included in the study. The prevalence of severe and extremely severe depression among study participants was 8.3 and 3.1 percent. Severe and extremely severe anxiety prevalence was found to be 9.4 and 13.8 percent. The prevalence of severe and extremely severe stress was 2.4 and 2.4 percent each. Education till post-graduation, unmarried, occupation of doctor, Comorbidity of headache and occurrence of influenza-like illness in last 3 months had a statistically significant association with high depression score. With high Anxiety score and high-stress score statistically significant association was seen in education till postgraduation, unmarried, occupation of doctor, duration of 1 COVID-19 duty of ≥8 hours. Conclusion: The study highlights high psychological comorbidities in the form of depression, anxiety and stress among health care workers and allied health care workers working in COVID-19 pandemic. Prevalence of psychological morbidity is higher among doctors compared to nurses and allied health workers. COVID-19 duty of ≥8 hours have been found to be hampering mental health.

Effect on Mental Health among Undergraduate College Students of India during the COVID-19 Pandemic: A Cross-Sectional Multicentric Study.

BACKGROUND: College students show higher prevalence of mental health issues as compared to the general population. Unfortunately, this year, students all over the world have to face, added pressure due to COVID-19. This study aimed to estimate the effect of COVID-19 pandemic and lockdown on the mental health of Medical and Engineering Students. SUBJECTS AND METHODS: The study was carried out at different medical and engineering colleges in Bihar, Delhi and Maharashtra, and Tamil Nadu. 699 responses were collected and analyzed during the study period. Data was collected by email/ online platform through Google form via non- probability Sampling Technique. Mental health status was determined by using Corona virus anxiety screening (CAS), GHQ (General Health Questionnaire)-12, GAD (General Anxiety Disorder)-7 scale and PHQ (Patient Health Questionnaire)-9 scales.369 (53%) MBBS and 330 (47%) Engineering students participated in the study. RESULTS: Maximum participants in both groups did not have anxiety related to COVID-19 (MBBS (96.8%) and Engineering (95.2%). About two-third participants secured above cut off score i.e., MBBS (62.3%) and Engineering (64.8%) in GHQ-12. Approximately comparable proportion in both groups were found to have severe anxiety and depression (16% vs 20%), when applied GAD-7 and PHQ-9. Uncertainty in the timing of the exams/ Academic delay was found to be the most worrying factor (MBBS, 41.19% vs Engineering 31.82%). CONCLUSIONS: About two-thirds of medical and engineering students psychologically equally affected by current pandemic in our study. A student wellness clinic is the need of hour in current scenario, which is supported by mental health experts (Psychiatrists, Clinical Psychologists) and residents on rotation basiswhere all psychological problem including Stress, Anxiety, Interpersonal crisis, Relationship issues and Personality problems of the students are dealt effectively in institute campus near to student residential area.

Epidemiological, Clinical, and Laboratory Predictors of In-Hospital Mortality Among COVID-19 Patients Admitted in a Tertiary COVID Dedicated Hospital, Northern India: A Retrospective Observational Study.

INTRODUCTION: COVID-19 pandemic still poses a serious challenge to health system worldwide. This study was planned to determine exposure characteristics, in-hospital mortality, and predictors of in hospital mortality among COVID-19 patients. MATERIAL AND METHODS: We retrospectively investigated epidemiological, clinical, and laboratory profile of confirmed COVID-19 patients admitted from 25th March to 31st August 2020. COVID-19 patient profiles were collected from Medical Record Section of the hospital. RESULTS: In hospital mortality occurred in 159 (11%) cases. Increasing respiratory rate, higher temperature, higher total leukocyte count, and high blood urea levels were found to be independent risk factors for in hospital mortality whereas higher hemoglobin and higher oxygen saturation at the time of hospital admission were found to be protective against in hospital mortality. CONCLUSION: In hospital mortality among COVID-19 patients is almost 1 in 10 in tertiary care hospital. Patients with advancing age (AOR: 1.048; 95% CI: 1.021-1.076), higher respiratory rate (AOR: 1.248; 95% CI: 1.047-1.489), higher temperature (AOR: 1.758; 95% CI: 1.025-3.016), higher leukocyte count (AOR: 1.147; 95% CI: 1.035-1.270), and higher urea levels (AOR: 1.034; 95% CI: 1.005-1.064) at the time of admission are important predictors of COVID-19 in-hospital mortality.

Prevalence of Low Level of Vitamin D Among COVID-19 Patients and Associated Risk Factors in India - A Hospital-Based Study.

BACKGROUND: The world is facing the most challenging pandemic in the 21st century. The developed and developing countries are facing the burden equally and no proven treatment options available. Recent studies suggest the plausibility of vitamin D therapy and prophylaxis for COVID-19, in the setting where the deficiency is more prevalent. Though evaluation of vitamin D status is not a routine in India, the present study focuses on the level of Vitamin d among COVID-19 patients. METHODS: The study was a hospital-based cross-sectional to find the status of vitamin D among COVID-19 patients in a tertiary care hospital, Patna, Bihar, India. The demographic, comorbidity data were taken, and the level of vitamin D was measured by a chemiluminescence-based immunoassay analyzer. The analysis compared the level of deficiency and insufficiency among different groups of COVID-19 patients. The role of DM and HTN as risk factors for mortality was compared. RESULTS: Among the total study participants (156), 42.31% were obese and 17.31% were severe as per clinical severity. The total prevalence of vitamin D deficiency was 58.97% and insufficiency was 89.1%. The prevalence was found high among male (61.02%), overweight (65.52%), and severe (62.96%) patients. The severity increases with advanced age (p<0.05) and important risk factors for mortality are DM, HTN, and advanced age. CONCLUSION: The level of vitamin D can be assessed for the prognosis of COIVD-19 patients and help to modify the treatment protocol. Appropriate therapeutic/preventive intervention of vitamin D can alter the course and severity of COVID-19.