COVID-19, Diabetes and Steroids: The Demonic Trident for Mucormycosis.

Coronavirus disease 2019 (COVID-19) has been found to be associated with mucormycosis in few parts of the world, especially India. It is important to look for reasons for this upsurge of cases so that other countries may take proper steps to prevent it. A prospective clinico-demographic study was conducted in SMS Medical College, Jaipur, India from April to May 2021. All patients (235) with COVID associated mucormycosis (CAM) were studied in detail with reference to their diabetic status and steroid intake during treatment of COVID-19. Steroid usage was in 84.3% of patients with methylprednisolone being the most commonly used steroid (66.8%). Majority of the patients had taken steroids for 7-14 days. Diabetes was found in 204 patients and 42.1% of patients were newly diagnosed during/after COVID-19 treatment. The HbA1c levels of diabetic patients ranged from 6.0% to 16.3%. This is perhaps the biggest study in the world shows that the triad of COVID-19, diabetes and steroid usage is a major contributing factor towards mucormycosis. Proper steps should be taken to prevent CAM.

Impact of glycemic control in diabetes mellitus on management of COVID-19 infection.

Background: Diabetes mellitus may be associated with increased severity and enhanced mortality in COVID-19 infections. The present study was undertaken to evaluate the clinical presentation, laboratory parameters, radiological imaging, management, and outcome of COVID-19 infection in patients of diabetes mellitus and its association with glycemic control. Methods: The present study was designed to evaluate the difference between uncontrolled and controlled diabetes for COVID-19 manifestations by enrolling 80 admitted COVID-19 patients. Patients were categorized into two groups, where group 1 had patients with uncontrolled diabetes as indicated by HbA1c > 8 g% and group 2 had patients with controlled diabetes as indicated by HbA1c < 8 g%. Information concerning medical history, clinical manifestations, laboratory findings, radiological imaging, management, and outcome was extracted from medical records for evaluation, interpretation, and association among both the groups. Results: COVID-19 patients with uncontrolled diabetes exhibited a severe symptomatic presentation, excessive uncontrolled inflammatory responses, and hypercoagulable state. Total leukocyte count, neutrophil-lymphocyte ratio, serum levels of IL-6, FDP, and D-dimer were significantly raised (p < 0.05) in case of uncontrolled diabetes as compared with controlled diabetes. Radiological findings detected by chest radiograph and computed tomography chest suggested severe lung involvement in uncontrolled diabetes. COVID-19 patients with uncontrolled diabetes required intensive treatment as compared with controlled diabetes group in terms of insulin therapy (p = 0.0226) and non-invasive ventilation (p = 0.0292). Patients with uncontrolled diabetes had higher mortality (p = 0.0375) and required prolonged hospitalization (p = 0.0479) as compared with controlled diabetes group. Conclusion: From the current study, it can be concluded that uncontrolled diabetic condition might be a risk factor for severity and morbidity of COVID-19 patients. Uncontrolled diabetes mellitus might be responsible for an overall higher susceptibility for COVID-19 infection and severity in terms of symptomatic presentation, inflammatory storm, rapid pulmonary invasion, requirement of more intensive treatment, and a poor outcome.

A preliminary clinico-epidemiological portrayal of COVID-19 pandemic at a premier medical institution of North India.

CONTEXT: The outbreak and spread of severe acute respiratory syndrome coronavirus 2 has led to a global exigency of colossal and monstrous proportions in terms of public health and economic crisis. Till date, no pharmaceutical agent is known to manage in terms of prevention and treatment of coronavirus disease 2019 (COVID-19), the disease caused by a novel virus. AIMS: The aim of the present work was to understand the underlying disease profile and dynamics that could provide relevant inputs and insight into pathophysiology and prevent further spread and evolve management strategies of COVID-19 patients from data-driven techniques. SETTINGS AND DESIGN: A retrospective observational descriptive study was conducted on 29 COVID-19 patients admitted at a premier medical institution of North India in the months of February and March 2020. METHODS: The patients were diagnosed with reverse transcription-polymerase chain reaction test. Demographic, clinical, and laboratory data were collected. RESULTS: The mean age of population was 38.8 years with male preponderance, of which two patients were residents of Italy, and others hailed from semi-arid and Western sandy arid regions of Rajasthan (urban population). The major presenting symptom complex of said COVID-19 sample population included fever (48%), cough (31%), and shortness of breath (17%). Most of the patients (83%) had no comorbidity. No clinical correlation (r) could be appreciated between the duration of test positivity and age of afflicted COVID-19 patients (r = -0.0976). CONCLUSIONS: The present evaluation of various facets of the ongoing global pandemic of COVID-19 is an attempt to portray early clinical and epidemiological parameters of the menace of COVID-19 patients admitted at SMS Medical College and Attached Hospitals, Jaipur.

Characteristics, Treatment Outcomes and Role of Hydroxychloroquine among 522 COVID-19 hospitalized patients in Jaipur City: An Epidemio-Clinical Study.

PURPOSE: The present study was undertaken to investigate epidemiological distribution, clinical manifestation, co morbid status, treatment strategy and case fatality index of emerging COVID-19 infection at SMS Medical College Hospital, Jaipur, Rajasthan. It also evaluated efficacy of hydroxychloroquine (HCQ) in treatment of patients and risk of serious adverse outcomes in patients with COVID-19 in relation to their co morbid status. MATERIALS AND METHODS: In an attempt to provide extensive information pertaining to epidemiological and clinical characteristics of COVID-19, the present study was undertaken on 522 patients. The patients were COVID-19 confirmed positive by genomic analysis through Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) at SMS Medical College and Attached Hospitals, Jaipur. The indoor admitted patient's information inclusive of demographic profile (age, sex, nationality, residence), date of confirmation for positive COVID-19 case, travel/ exposure history, date of recovery/ death, clinical features, co morbidities and treatment plan was recorded. A serial follow-up of recovered patients to evaluate infective period of the disease was also part of the study. RESULTS: A total of 522 patients of laboratory confirmed COVID-19 test by RT-PCR at SMS Hospitals, Jaipur were assessed. Among the confirmed cases, most of patients were young adult in the age group with mean age of 35.42 years. 22.41% patients were below 20 years of age, majority of patients (58.80%) were in the age range of 21 to 50 years and only 18.79% patient population was in the age range of above 50 years. Females (39.08%) were affected less than males (60.91%) with an average sex ratio of female: male being 0.64. Out of the total analyzed patients, only 24.32% patients were symptomatic, among them fever (55.90%), cough (52.75%), sore throat (49.60%) and shortness of breath (46.45%) were the most common presenting clinical manifestations while a few patients also had symptoms of headache (26.77%), chest pain (6.29%) and other symptoms (7.87%) like pain abdomen, fatigue, joints pain, altered sensorium etc. Most of symptomatic patients belonging to older age group. An average of 40.40% patient population of above 50 years of age, were symptomatic while none of the patients below 10 years of age were symptomatic. 13.98% patients had some or the other underlying co morbid disease. The most prevalent co morbidity was hypertension (42.46%) followed by Diabetes mellitus (39.72%), Old k-chest (20.54%), COPD/ Bronchial Asthma (16.43%), Coronary artery disease (13.69%), Chronic kidney disease (13.69%) and Valvular heart disease (6.84%) distributed in co morbid patients of COVID-19. 60.27% of patient population with underlying co morbid conditions were more prone to develop symptomatology complex as compared to that observed in patients with no co morbidity (18.42%). 116 patients had recovered with effective treatment till the date of data analysis. Time of recovery was counted from the date of positive report to 1st negative report of oropharyngeal sample by RT-PCR for COVID-19 with an average recovery time of 8.15 days. 23.27% patients recovered within 5 days, while 52.58% patients took about 6-10 days, 23.27% patients took 11-15 days and remaining 0.86% took more than 16 days to recover. In the present study 15 patients had died till analysis of data, among the deceased, 73.33% were above 50 year of age with a male preponderance (66.6%). Interestingly, all deceased (100%) had presented with clinical manifestations of COVID-19 and all had underlying multiple co morbid conditions. Majority of patients had early mortality after admission to hospital with two third death account in initial three days. Asymptomatic patients (cases) treated with HCQ recovered early (average recovery time =5.4 days) compared to asymptomatic patients who did not receive any treatment (control group) and had longer recovery time (average recovery time =7.6 days). CONCLUSION: The varied spectra of COVID-19 mostly affects young adult age group (third to fifth decades of life). Interestingly, early age group was also affected in significant proportion when compared with similar data from other countries. It was observed that male population seemed to be was more prone to getting infected. Majority of COVID-19 positive patients (nearly three-fourth) were asymptomatic (mostly in young age range) at the time of diagnosis, which poses a major challenge for health care workers. Fever, cough, sore throat and shortness of breath were major symptoms that could be detected in such COVID-19 patients. Symptomatic clinical manifestations were more common in old age population. Infectivity was higher in patients that had underlying co morbid disease, especially in patients with multiple co morbid conditions. Symptomatic presentation of COVID-19 was observed to be higher in patients with co morbid disease. Average recovery time from COVID-19 was 8 days with effective treatment. Mortality in COVID-19 was higher in old age population, male gender, symptomatic and co morbid patients as compared to other similarly matched group. Most of mortality was noted within first few days of admission, suggestive of early mortality due to the primary disease process. Treatment with HCQ had early recovery without effectively influencing the overall mortality.

Patient Flow Dynamics in Hospital Systems During Times of COVID-19: Cox Proportional Hazard Regression Analysis.

Objectives: The present study is aimed at estimating patient flow dynamic parameters and requirement for hospital beds. Second, the effects of age and gender on parameters were evaluated. Patients and Methods: In this retrospective cohort study, 987 COVID-19 patients were enrolled from SMS Medical College, Jaipur (Rajasthan, India). The survival analysis was carried out from February 29 through May 19, 2020, for two hazards: Hazard 1 was hospital discharge, and Hazard 2 was hospital death. The starting point for survival analysis of the two hazards was considered to be hospital admission. The survival curves were estimated and additional effects of age and gender were evaluated using Cox proportional hazard regression analysis. Results: The Kaplan Meier estimates of lengths of hospital stay (median = 10 days, IQR = 5-15 days) and median survival rate (more than 60 days due to a large amount of censored data) were obtained. The Cox model for Hazard 1 showed no significant effect of age and gender on duration of hospital stay. Similarly, the Cox model 2 showed no significant difference of age and gender on survival rate. The case fatality rate of 8.1%, recovery rate of 78.8%, mortality rate of 0.10 per 100 person-days, and hospital admission rate of 0.35 per 100,000 person-days were estimated. Conclusion: The study estimates hospital bed requirements based on median length of hospital stay and hospital admission rate. Furthermore, the study concludes there are no effects of age and gender on average length of hospital stay and no effects of age and gender on survival time in above-60 age groups.