Correlation of Clinical Frailty Scale Assessment and in-Hospital Mortality in Elderly Critically Ill Patients Admitted to Intensive Care Units of Private Sector Tertiary Care Hospital

Pakistan Journal of Health Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 214 - 221

Published: Jan. 31, 2025

Frailty is a complex geriatric condition marked by increased vulnerability to adverse health events. In intensive care unit patients, there clear correlation between the Clinical Scale and higher short- long-term mortality rates. Objectives: To evaluate prognostic importance of frailty, measure risk death in Intensive Care Unit for all scores, methodically association frailty mortality. Methods: This cross-sectional study was conducted over 1 year (Jan 2023 July 2023) at Department Medical Ziauddin University Hospital, Karachi Pakistan. Irrespective gender, patients age more than 60 years admitted were included. this study, individuals ≥60 had their pre-admission hospital compared using Scale. Results: The median 75 years. overall rate 9.9%. score indicated that 29.7% classified as non-fragile, 18.7% vulnerable or pre-fragile, 51.6% frail. A significant assessment observed with age, outcome, Acute Physiology Chronic Health Evaluation invasive (mechanical ventilation). According multivariate logistic regression, on mechanical ventilators have rate. Conclusions: It concluded findings demonstrated strong among critically sick unit.

Language: Английский

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Update on Omicron variant and its threat to vulnerable populations

Public Health in Practice, Journal Year: 2024, Volume and Issue: 7, P. 100494 - 100494

Published: March 25, 2024

To reduce the incidence of severe illness and fatalities, promote awareness protection precaution, increased vaccination, strengthen physical fitness, frequent ventilation, health education should be enhanced among vulnerable populations as essential measures for future control COVID-19.

Language: Английский

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Assessment of COVID-19 risk factors of early and long-term mortality with prediction models of clinical and laboratory variables

BMC Infectious Diseases, Journal Year: 2024, Volume and Issue: 24(1)

Published: July 9, 2024

Abstract Background Coronavirus disease (COVID-19) may lead to serious complications and increased mortality. The outcomes of patients who survive the early period are burdened with persistent long-term symptoms morbidity aim our study was determine which baseline parameters provide best prediction outcomes. Methods group comprised 141 hospitalized for COVID-19. Demographic data, clinical data laboratory were collected. main endpoints defined as in-hospital mortality 1-year associations between evaluated. Prediction models created. Results rate 20.5% ( n = 29). Compared survivors, nonsurvivors significantly older p 0.001) presented comorbidities, including diabetes (0.027) atrial fibrillation 0.006). Assessment markers time death revealed negative correlations higher IL-6 levels 0.032; Spearman rho − 0.398) lower lymphocyte counts 0.018; Pearson r -0.438). one-year 35.5% 50). nonsurvivor subgroup < had more arterial hypertension 0.009), 0.023), 0.046) active malignancy 0.024) than did survivor subgroup. model composed count highest value risk prediction. Conclusions Diabetes fibrillation, factors, LDH, count, determinants, predictors COVID-19 risk.

Language: Английский

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Factors predicting poor outcomes in elderly nursing home residents hospitalized due to COVID-19 pneumonia

Pneumon, Journal Year: 2024, Volume and Issue: 37(3), P. 1 - 11

Published: Sept. 4, 2024

Language: Английский

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Long COVID‑19 and pregnancy: A systematic review

Biomedical Reports, Journal Year: 2024, Volume and Issue: 22(1)

Published: Nov. 19, 2024

The impact of post‑acute sequelae SARS‑CoV‑2 infection, or Long coronavirus disease 2019 (COVID‑19), on pregnant women remains a growing concern. present systematic review synthesizes current evidence the prevalence, risk factors and clinical outcomes COVID‑19 in to improve understanding its burden implications for maternal health. A search was conducted PubMed, Scopus Google Scholar studies published between January 2020 October 2024. Eligible included postpartum diagnosed with followed at least four weeks post‑infection. Data extraction quality assessment were performed using standardized tools, findings narratively synthesized due heterogeneity study designs outcome measures. total 13 encompassing 13,729 participants included. prevalence varied widely, ranging from 9.3‑93%. most reported symptoms fatigue, cognitive dysfunction, respiratory psychological disturbances, fatigue being prevalent. Severe acute COVID‑19, obesity, pre‑existing mental health conditions, non‑vaccination identified as key developing COVID‑19. Several that higher adverse neonatal outcomes, such preterm birth increased need intensive care. severity infection presence comorbidities significantly influenced is prevalent condition among women, significant variability rates. It associated range can pregnancy outcomes. highlight targeted follow‑up management strategies this population. Standardized definitions longitudinal are essential further elucidate long‑term during pregnancy.

Language: Английский

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Electronic health records reveal that COVID-19 impacted health resources and survival of Basque population

Aging Clinical and Experimental Research, Journal Year: 2024, Volume and Issue: 36(1)

Published: Nov. 29, 2024

Abstract Background The COVID-19 pandemic impacted worldwide. Basque Country was one of the regions in Spain most affected by virus. Methods In this retrospective study, we took advantage Health Service electronic health records data lake over 20,000 deceased individuals, including 5000 positives for COVID-19, between 2020 and 2022 Gipuzkoa (Basque Country, Spain). Results Comparison COVID-19-positive negative individuals’ showed that prevalence infections higher inside nursing homes promoted a significant rise hospitalizations, emergency entrances, ICU admissions. No differences were observed genders terms or survival but detected resources vaccination strong protective effect against disease. Conclusions Our results provided complete characterization impact on population, which expands knowledge older individuals system. study also highlights benefit use Electronic Records studying human diseases.

Language: Английский

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