Population-based assessment of coronavirus disease 2019 (COVID-19) hospital treatment outcomes.

Objective. To assess the factors influencing mean length of hospitalisation (LOH) and treatment outcomes in patients with coro-navirus disease 2019 (COVID-19) between January 31, 2020 and June 10, 2021. Material and methods. We analyzed the results of specialized medical care in patients with COVID-19. Medical, gender and anam-nestic factors influencing treatment outcomes were chosen for analysis. The follow-up unit was a record with data about a patient with COVID-19. We harvested data from the Federal Register of Persons with COVID-19 developed in accordance with the De-cree of the Government of the Russian Federation dated March 31, 2020 No. 373 "On Approval of Interim Rules for Recording Information in order to Prevent the Spread of a New Coronavirus Infection (COVID-19)>>. Results. A retrospective cohort study of data from the Federal Register of patients with COVID-19 involving more than 3 million patients (40.7% men and 59.3% women) revealed the highest incidence of disease in men aged 60-64, 55-59 and 35-39 years, as well as in women aged 60-64, 55-59 and 50-54 years. There was no significant correlation between age and LOH (linear correlation coefficient (r-Pearson) for men 0.021 (p<0.05), for women 0.0124 (p<0.05)). Weighted mean LOH in all age groups was 14.7 days for men (standard deviation (SD) 5.6 days) and 15.7 days for women (SD 5.2 days). Thirty-seven comorbidities/ complications of the underlying disease worsened prognosis regarding LOH in patients with severe and extremely severe COV-ID-19 compared to course of disease without comorbidities or complications. Analysis of impact of COVID-19 severity on mortality revealed strong direct relationship between these signs (r-Pearson for men 0.830 (p<0.0001), for women 0.799 (p<0.0001). Patients with moderate COVID-19 died 89.4 times more often compared to those with mild infection. Severe patients died 20.5 times more often compared to patients with moderate severity of disease. Risk of mortality from COVID-19 is 11.3% higher in patients with extremely severe infection than in patients with severe disease. Conclusion. Our data on mean LOH differentiated by sex and age, as well as comparison of this indicator with comorbidities and severity of COVID-19, can be used for modeling of hospital workload for a stochastic flow of patients whose parameters are com-parable with data of patients analyzed in this study.Copyright © 2022, Media Sphera Publishing Group. All rights reserved.

Severity and Mortality of Covid-19 in Patients with Diabetes Mellitus

Background: Covid-19 infection appeared as rapidly spreading cases of acute respiratory disease in Wuhan city of China that became pandemic. It was brought to the notice of WHO on December 31, 2019. Diabetes mellitus is one of the biggest health problems and fast growing emergencies of the 21st century. Diabetic patients with who got infected with Covid-19 have more chance of in hospital treatment need, intensive care unit care requirement, intubation and death. Objective(s): The objective of this study was to know the severity and mortality of covid-19 in patients with diabetes mellitus. Study Design: This was a descriptive case series study. Study Setting: It was done in the Covid-19 isolation and ICU unit of Ayub Teaching Hospital Abbottabad from May 2020 to October 2021. Method(s): Using non-probability consecutive sampling, 189 diabetic patients were enrolled. Sample included all covid-19 patients having diabetes that received indoor treatment during this period. All patients from both genders with age > 18 years were included. Patients with malignancy or on immunosuppressants for more than 1 month were excluded. Patients who were maintaining oxygen saturation at room air/facemask/nasal prongs were labelled as having non-severe disease while patient who needed CPAP or assisted ventilation were labelled as having severe covid-19 disease. All patients who died during admission were documented as covid-19 related mortality. Patients were labelled as diabetic who were known diabetic and taking diabetes treatment. Data was collected on a structured pro forma. Statistical program SPSS version 16.0 was used for the analysis of data. Result(s): In this study, mean age was 61.29 +/- 11.73 years. There were 40.2% male and 59.8% female patients. 86.2% patients were not-vaccinated, 3.7% patients were partially vaccinated and 10.1% patients were fully vaccinated. Hypertension was most common comorbidity (42.3%) and only CKD was significantly associated with increased mortality. 43.92%patients had non-severe illness while 56.08% patients had severe illness. The overall mortality of illness was 48.15% while it was 84.9% in patients with severe illness. Practical implication: These published publications provide a variety of various estimations and impact amounts due to the numerous different study designs and demographics. A comprehensive and methodical study is required because of the unpredictability of the situation. So that we conducted this study to assess the severity and mortality of covid-19 in patients with diabetes mellitus Conclusion(s): Our study concluded that severity and mortality of covid-19 was high in diabetic patients with high fasting & random sugar levels, pack smoking years and low oxygen saturation. Copyright © 2022 Lahore Medical And Dental College. All rights reserved.

Using inflammatory indices for assessing malnutrition among COVID-19 patients: A single-center retrospective study.

BACKGROUND: Coronavirus disease 2019 (COVID-19) causes malnutrition in infected patients. This study aimed to investigate the use of systemic immune-inflammatory index (SII), platelet-to-lymphocyte ratio (PLR), the Glasgow Prognostic Score (GPS), and neutrophil-to-lymphocyte ratio (NLR) for malnutrition assessment among COVID-19 inpatients. METHODS: This is a single-center retrospective study on 108 hospitalized COVID-19 patients; 14 were admitted to the intensive care unit (ICU). Data were collected from patients' profiles while NLR, PLR, GPS, and SII were calculated. Inflammatory indices' predictive power was analyzed using the receiver operating characteristic curve (ROC). A P-value of < 0.05 was considered statistically significant. RESULTS: Hospitalization days, neutrophils count, C-reactive protein (CRP), and serum urea levels were significantly higher in ICU patients. None of SII, PLR, and NLR were significantly different between ICU and non-ICU groups. Also, albumin and GPS showed a higher sensitivity level (100.0), followed by PLR and SII (78.57 and 71.34, respectively). Regarding ROC curves, even though NLR, PLR, and SII provided the largest area under the curve (AUC) (0.687, 0.682, 0.645; respectively), they have shown a poor discrimination ability, while GPS and albumin were ineffective in predicting malnutrition in COVID-19 patients. CONCLUSION: NLR, SII, and PLR showed poor predicting ability for malnutrition among COVID-19 inpatients. Additional consideration should be taken for using inflammatory parameters (SII, PLR, GPS, and NLR) to predict malnutrition in COVID-19 inpatients.

Population-based assessment of coronavirus disease 2019 (COVID-19) hospital treatment outcomes

Objective. To assess the factors influencing mean length of hospitalisation (LOH) and treatment outcomes in patients with coro-navirus disease 2019 (COVID-19) between January 31, 2020 and June 10, 2021. Material and methods. We analyzed the results of specialized medical care in patients with COVID-19. Medical, gender and anam-nestic factors influencing treatment outcomes were chosen for analysis. The follow-up unit was a record with data about a patient with COVID-19. We harvested data from the Federal Register of Persons with COVID-19 developed in accordance with the De-cree of the Government of the Russian Federation dated March 31, 2020 No. 373 “On Approval of Interim Rules for Recording Information in order to Prevent the Spread of a New Coronavirus Infection (COVID-19)». Results. A retrospective cohort study of data from the Federal Register of patients with COVID-19 involving more than 3 million patients (40.7% men and 59.3% women) revealed the highest incidence of disease in men aged 60-64, 55-59 and 35-39 years, as well as in women aged 60-64, 55-59 and 50-54 years. There was no significant correlation between age and LOH (linear correlation coefficient (r-Pearson) for men 0.021 (p<0.05), for women 0.0124 (p<0.05)). Weighted mean LOH in all age groups was 14.7 days for men (standard deviation (SD) 5.6 days) and 15.7 days for women (SD 5.2 days). Thirty-seven comorbidities/ complications of the underlying disease worsened prognosis regarding LOH in patients with severe and extremely severe COV-ID-19 compared to course of disease without comorbidities or complications. Analysis of impact of COVID-19 severity on mortality revealed strong direct relationship between these signs (r-Pearson for men 0.830 (p<0.0001), for women 0.799 (p<0.0001). Patients with moderate COVID-19 died 89.4 times more often compared to those with mild infection. Severe patients died 20.5 times more often compared to patients with moderate severity of disease. Risk of mortality from COVID-19 is 11.3% higher in patients with extremely severe infection than in patients with severe disease. Conclusion. Our data on mean LOH differentiated by sex and age, as well as comparison of this indicator with comorbidities and severity of COVID-19, can be used for modeling of hospital workload for a stochastic flow of patients whose parameters are com-parable with data of patients analyzed in this study. © 2022, Media Sphera Publishing Group. All rights reserved.

A prospective study of prevalence of respiratory viruses causing acute respiratory infection in pediatric in-patients during pre- COVID times.

PURPOSE: To find out the prevalence of respiratory viruses causing Acute Respiratory Infection in pediatric in-patients during Pre-COVID times. METHODS: Nasal swabs were collected from children in the age group of 1 month-16 years who were admitted at our hospital with Acute Respiratory Infection. Samples were subjected to nucleic acid extraction and Real time polymerase chain reaction to detect 16 RNA viruses and 2 DNA viruses. The results were interpreted in context of most prevalent viruses detected, their seasonal distribution, co-infecting viruses, co-morbidities in patients with effect thereof and use and effect of antibiotics in those positive for viral etiology. RESULTS: Of the 250 children recruited in the study, viral pathogen was detected in 74% cases. RSV was the most common virus detected with 36.2% positivity (92/254) followed by rhino/entero (19.2%, 49/254), PIV 1,2,3,4 (9.4%, 24/254), Influenza A,B,C (8.2%, 21/254), adenovirus & HBoV (6.2%, 16/254), coronavirus HKU1, NL63, OC43, 229E (4.3%, 11/254), H1N1 (4.7%, 12/254) and hMPV (0.7%, 2/254). Co-infection with 2 or more viruses was seen in 34% cases. Among the cases on whom antibiotics were started, they were withdrawn following test results in 42.3% of the cases. CONCLUSION: The prevalence of viral etiology is high amongst children especially ≤2 years. RSV, rhino/enterovirus, PIV 1,2,3,4 and Influenza virus were more prevalent than others. Rapid, early detection of virus with multiplex PCR will help in early cohorting of the patients thus reducing nosocomial spread of these viruses and prevent injudicious use of antibiotics.

Psychosocial health effects of Covid-19 infection on persons in treatment centers in Lagos, Nigeria.

INTRODUCTION: Prior research has highlighted the psychosocial impact of infectious diseases on individuals and the community at large. However, little is known about the psychosocial implications of COVID-19. This study set out to determine the rate as well as correlates of anxiety and depressive symptoms among persons managed as in-patients for COVID-19 in Lagos, Nigeria. MATERIALS AND METHODS: We conducted an online survey between April to June ending 2020 using a consecutive sampling technique of persons positive for COVID-19 and who were managed as in-patients across five (5) treatment centres in Lagos, Nigeria. The survey collected information on demographic as well as clinical data including suicidality. Anxiety and depressive symptoms were assessed using the Hospital Anxiety and Depression Scale (HADS). RESULTS: There were one hundred and sixty participants in total. The mean age of respondents was 36.4 (±9.7) years with a higher proportion (56.9%) being males. With regards to diagnosis, 28.1% and 27.5% of the respondents were categorised as probable cases of depression and anxiety respectively, while 3.8% respondents reported suicidal ideation. Majority of the respondents (61.9%) reported the fear of infecting their loved ones. The variables that showed association with psychiatric morbidity were a past history of an emotional concern, employment status, guilt about infecting others and boredom. CONCLUSION: This study revealed a high burden of psychological/psychiatric morbidity among persons treated for COVID-19, particularly persons who have had prior emotional concerns. The findings from this study reiterate the need to pay attention to the mental health of people during disease outbreaks and to incorporate psychosocial interventions as part of the management package.

Clinical outcomes of patients with COVID-19 and HIV coinfection.

BACKGROUND: Patients with human immunodeficiency virus (HIV) infection may be at an increased risk for morbidity and mortality from the coronavirus disease 2019 (COVID-19). We present the clinical outcomes of HIV patients hospitalized for COVID-19 in a matched comparison with historical controls. METHODS: We conducted a retrospective cohort study of HIV patients admitted for COVID-19 between March 2020 and April 2020 to Newark Beth Israel Medical Center. Data on baseline clinical characteristics and hospital course were documented and compared with that of a matched control group of COVID-19 patients who had no history of HIV. Kaplan-Meier survival curves and the log-rank tests were used to estimate and compare in-hospital survival between both unmatched and matched groups. RESULTS: Twenty-three patients with HIV were hospitalized with COVID-19. The median age was 59 years. The rates of in-hospital death, the need for mechanical ventilation, and intensive care unit (ICU) admission were 13% (n = 3), 9% (n = 2), and 9% (n = 2), respectively. The HIV infection was well-controlled in all patients except for three patients presented with acquired immune deficiency syndrome (AIDS). All AIDS patients were discharged home uneventfully. A one-to-one propensity matching identified 23 COVID-19 patients who served as a control group. In both pre- and post-match cohorts, survival between HIV and control groups were comparable. CONCLUSIONS: In our cohort of HIV-infected patients hospitalized for COVID-19, there was no difference in mortality, ICU admission, and the need for mechanical ventilation when compared with a matched control of COVID-19 patients with HIV.