Factors Associated with Mortality Among Elderly People in the COVID-19 Pandemic (SARS-CoV-2): A Systematic Review and Meta-Analysis

Alves, Vicente Paulo; Casemiro, Francine Golghetto; Araújo, Bruno Gedeon de; Lima, Marcos de; Oliveira, Rayssa Melo de; Fernandes, Fernanda Dreux Miranda; Gomes, Ana Vitória; Gregori, Darío

doi:10.20944/preprints202102.0319.v1

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…Pranata et al and Aliberti et al [33] also showed that higher clinical frailty scores were associated with higher mortality [16]. In other studies, factors associated with mortality include age; Charlson index; presence of diabetes, COPD, CKD, hypertension, or dementia; high d-dimer level; and high neutrophil-lymphocyte ratio [34][35][36].…”

Section: Et Al's Studymentioning

confidence: 94%

In-hospital mortality prediction using frailty scale and severity score in elderly patients with severe COVID-19

Na¹,

Kim²,

Baek

et al. 2022

Acute Crit Care

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Background: Elderly patients with coronavirus disease 2019 (COVID-19) have a high disease severity and mortality. However, the use of the frailty scale and severity score to predict in-hospital mortality in the elderly is not well established. Therefore, in this study, we investigated the use of these scores in COVID-19 cases in the elderly. Methods: This multicenter retrospective study included severe COVID-19 patients admitted to seven hospitals in Republic of Korea from February 2020 to February 2021. We evaluated patients' Acute Physiology and Chronic Health Evaluation (APACHE) II score; confusion, urea nitrogen, respiratory rate, blood pressure, 65 years of age and older (CURB-65) score; modified early warning score (MEWS); Sequential Organ Failure Assessment (SOFA) score; clinical frailty scale (CFS) score; and Charlson comorbidity index (CCI). We evaluated the predictive value using receiver operating characteristic (ROC) curve analysis. Results:The study included 318 elderly patients with severe COVID-19 of whom 237 (74.5%) were survivors and 81 (25.5%) were non-survivors. The non-survivor group was older and had more comorbidities than the survivor group. The CFS, CCI, APACHE II, SOFA, CURB-65, and MEWS scores were higher in the non-survivor group than in the survivor group. When analyzed using the ROC curve, SOFA score showed the best performance in predicting the prognosis of elderly patients (area under the curve=0.766, P < 0.001). CFS and SOFA scores were associated with in-hospital mortality in the multivariate analysis. Conclusions:The SOFA score is an efficient tool for assessing in-hospital mortality in elderly patients with severe COVID-19.

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Section: Et Al's Studymentioning

confidence: 94%

In-hospital mortality prediction using frailty scale and severity score in elderly patients with severe COVID-19

Na¹,

Kim²,

Baek

et al. 2022

Acute Crit Care

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Mortality due to SARS COV-2 And its Associated Factors in East Shewa Zone Treatment Centers, Ethiopia, 2022: A retrospective cross-sectional study

Hassen

Getinet

Botore

et al. 2022

Preprint

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Background: Coronavirus disease (COVID-19) is an infectious disease that is caused by the SARS-CoV-2virus. The objective of this study was to determine SARS COV-2 Mortality and its associated factors in East Shewa Zone Treatment centers, Oromia, Ethiopia, 2022. The study of these types of viral infection will add new insight into the most common causes of mortality in SARS-CoV-2infection and the most common co-morbidities associated with the disease in the East Shewa Zone. Methods: The study was conducted on patients who were admitted to Adama Hospital medical college and Modjo Primary Hospital for SARS-COV 2 treatment. The study period was from March 2020- Dec 2022 GC. The study population was SARS-COV 2 patients who come to Adama Hospital and Medical College and Modjo Primary Hospital for treatment. All eligible SARS-CoV-2 patients' data were collected from Both Adama and Modjo treatment center SARS-CoV-2 accession registration book and medical record card. Result: A total of 409 patient data were collected from which 199 were from Adama Hospital and Medical College and 210 samples were collected from Modjo Primary Hospital Treatment center. The study design was a retrospective Cross-sectional study. The most affected age group in terms of mortality was the age group between 60-69 years old which suffers a 45.28% death rate. The major sign symptoms identified include cough (80.4%), Shortness of breath (66.7%) followed by fever (43.2%). SARS-CoV-2 Comorbidity was detected in 152 (37.2%) patients. Pneumonia was identified as the major comorbid disease to be recorded with 89(21.8%) cases. Other major comorbidities include Hypertension (16.9%) and Diabetes Mellites (13.9%). The least identified comorbidities were anemia (0.2%), Rectal cancer (0.2%), breast cancer (0.5%), and Chronic liver disease. Conclusion: Nearly one in four (22.7%) SARS-COV 2 patients admitted for treatment to Adama Hospital and Medical College and Modjo Primary Hospital did not make their way out of treatment Hospitals alive. Pneumonia was identified as the major comorbid disease to be recorded with 89(21.8%) cases.

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Multiscale Geographically Weighted Regression in the Investigation of Local COVID-19 Anomalies Based on Population Age Structure in Poland

Ciski

Rząsa

2023

IJERPH

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A growing number of various studies focusing on different aspects of the COVID-19 pandemic are emerging as the pandemic continues. Three variables that are most commonly used to describe the course of the COVID-19 pandemic worldwide are the number of confirmed SARS-CoV-2 cases, the number of confirmed COVID-19 deaths, and the number of COVID-19 vaccine doses administered. In this paper, using the multiscale geographically weighted regression, an analysis of the interrelationships between the number of confirmed SARS-CoV-2 cases, the number of confirmed COVID-19 deaths, and the number of COVID-19 vaccine doses administered were conducted. Furthermore, using maps of the local R2 estimates, it was possible to visualize how the relations between the explanatory variables and the dependent variables vary across the study area. Thus, analysis of the influence of demographic factors described by the age structure and gender breakdown of the population over the course of the COVID-19 pandemic was performed. This allowed the identification of local anomalies in the course of the COVID-19 pandemic. Analyses were carried out for the area of Poland. The results obtained may be useful for local authorities in developing strategies to further counter the pandemic.

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Factors Associated with Mortality Among Elderly People in the COVID-19 Pandemic (SARS-CoV-2): A Systematic Review and Meta-Analysis

Abstract: Keywords: SARS-CoV-2; COVID-19 ; Non Communicable diseases (NCDs). Clinical features; Institucionalized or hospitalized elderly; meta-analisys.

Cited by 7 publications

References 9 publications

In-hospital mortality prediction using frailty scale and severity score in elderly patients with severe COVID-19

In-hospital mortality prediction using frailty scale and severity score in elderly patients with severe COVID-19

Mortality due to SARS COV-2 And its Associated Factors in East Shewa Zone Treatment Centers, Ethiopia, 2022: A retrospective cross-sectional study

Multiscale Geographically Weighted Regression in the Investigation of Local COVID-19 Anomalies Based on Population Age Structure in Poland

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