Predictors of Hospital Length of Stay among Hospitalized Older Patients with COVID-19
Hassan Noureldin, A., Ahmad El Sadany, M., M. Osman, A., Gad, W., Maher Adly, S., Ahmed Abdul-Rahman, S. (2023). Predictors of Hospital Length of Stay among Hospitalized Older Patients with COVID-19. EKB Journal Management System, 10(2), 65-75. doi: 10.21608/ejgg.2023.325915
Abdelrahman Hassan Noureldin; Mohamad Ahmad El Sadany; Ahmed M. Osman; Walaa Gad; Sally Maher Adly; Samia Ahmed Abdul-Rahman. "Predictors of Hospital Length of Stay among Hospitalized Older Patients with COVID-19". EKB Journal Management System, 10, 2, 2023, 65-75. doi: 10.21608/ejgg.2023.325915
Hassan Noureldin, A., Ahmad El Sadany, M., M. Osman, A., Gad, W., Maher Adly, S., Ahmed Abdul-Rahman, S. (2023). 'Predictors of Hospital Length of Stay among Hospitalized Older Patients with COVID-19', EKB Journal Management System, 10(2), pp. 65-75. doi: 10.21608/ejgg.2023.325915
Hassan Noureldin, A., Ahmad El Sadany, M., M. Osman, A., Gad, W., Maher Adly, S., Ahmed Abdul-Rahman, S. Predictors of Hospital Length of Stay among Hospitalized Older Patients with COVID-19. EKB Journal Management System, 2023; 10(2): 65-75. doi: 10.21608/ejgg.2023.325915

Predictors of Hospital Length of Stay among Hospitalized Older Patients with COVID-19

The Egyptian Journal of Geriatrics and Gerontology
Article 5, Volume 10, Issue 2, October 2023, Page 65-75  XML PDF (375.73 K)
Document Type: Original Article
DOI: 10.21608/ejgg.2023.325915
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Authors
Abdelrahman Hassan Noureldin* 1; Mohamad Ahmad El Sadany1; Ahmed M. Osman2; Walaa Gadorcid 3; Sally Maher Adly1; Samia Ahmed Abdul-Rahman1
1Geriatric Medicine and Gerontology Department, Faculty of Medicine, Ain Shams University.
2Department of Diagnostic & Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University.
3Machine learning, Faculty of Computer and Information Sciences, Ain Shams University.
Abstract
Background: Older patients are particularly vulnerable to COVID-19 health consequences. The rapid and widespread COVID-19 pandemic resulted in a considerable shortage in the delivery of healthcare services, including hospital beds, which more evidently affected older adults. This study aimed to estimate the hospital length of stay for older COVID-19 patients and its associated factors. Patients and methods: This is a retrospective analysis of the hospital database of older adult patients who were hospitalized in the Geriatric Medicine isolation Hospital, Ain Shams University Hospitals, Cairo, Egypt for COVID-19. The patient’s medical files were revised, and the patients’ data concerning history, clinical assessment, laboratory investigations, and length of hospital stay were extracted. Results: This study included 301 patients who were hospitalized with COVID-19. The patient’s length of hospital stay (LOS) ranged from 1 to 37 days, with a median (interquartile range) of 9 (4 - 13) and a mean of 9.79 ± 6.74. Patients with previous cerebrovascular stroke had significantly longer hospital stays (p=0.034). Similarly, patients with COPD had significantly longer hospital stays (p=0.005). Also, a statistically significant longer LOS was found in COVID-19 patients who were presented with headaches (p=0.034). A statistically significant negative correlation was found between the LOS and each of the haemoglobin levels (p=0.01) and lymphocytic count (p=0.003). A statistically significant positive correlation was found between the LOS and each of the total leukocyte count (p=0.001), neutrophilic count (p=0.005), and blood urea nitrogen (p=0.011). Conclusion: Pre-existing chronic obstructive pulmonary disease (COPD) and stroke, presenting with headaches, anaemia, Leucocytosis, lymphopenia, and neutrophilia, are associated with prolonged hospital stays, and could be identified as early indicators of a prolonged hospital stay.

Keywords
COVID-19; older adults; length of hospital stay; predictors
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