The prognostic value of the Barthel Index for mortality in patients with COVID-19: A cross-sectional study

Wang, Erchuan; Liu, Ao; Wang, Zixuan; Shang, Xiaoli; Zhang, Lingling; Jin, Yan; Ma, Yanling; Zhang, Lei; Bai, Tao; Song, Jun; Hou, Xiaohua

doi:10.3389/fpubh.2022.978237

Cited by 8 publications

(8 citation statements)

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“…It has been shown that the Barthel's index has a prognostic value for mortality in COVID-19 patients and ADL dependence is significantly related to mortality. 28,29 To the authors' knowledge, there is no published local data on post-COVID discharge ER consultation, readmission, and mortality. However, there was a similar study done by Kingery et al in a quaternary referral hospital in New York City.…”

Section: Discussionmentioning

confidence: 99%

Description of Post-discharge Outcomes of Patients with COVID-19 in a Tertiary Referral Center in the Philippines

2023

Acta Med Philipp

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Background and Objectives The immediate post-discharge period of COVID-19 patients is a vulnerable state due to several complications that may arise during this time. Some patients get readmitted shortly after being discharged while others report persistence of symptoms, develop specialized needs, or observe a decline from their baseline functional capacity. Information on the outcomes of post-COVID discharge patients in our institution is currently lacking. This study described the outcomes of patients with COVID-19 after their discharge from the service areas of Philippine General Hospital. Methods This study is a retrospective chart review involving charts of all adult patients discharged from the PGH COVID service areas last August 2021 to October 2021. Data from their follow up consults at 1 week, 1 month, and 3 months post-discharge were reviewed. Baseline characteristics and post-discharge outcomes including post-COVID symptoms, special care needs, mortality, rehospitalization, emergency consult, level of dependence, and ability to return to work were assessed. Results A total of 171 patient charts were included. The mean age of patients was 53.7 years. Most were male (60.2%), unemployed (59.7%), non-smoker (55%), hypertensive (57.9%), diabetic (50.2%), and obese (50.2%). Most of them were oxygen requiring (80%) and with severe to critical COVID infection (72.5%) during admission. At 3 months post-discharge, 113 (66%) were stable and able to complete the follow up, 8 (4.6%) died, 9 (5.2%) got readmitted, and 41 (23.9%) were lost to follow up. Among those who were able to follow up after 3 months, 84 (74%) were asymptomatic. Among those who remained symptomatic, the most common symptoms were dyspnea, fatigue, and cough. After 3 months, 100 (88%) did not require special care needs, 100 (88%) were fully independent, and 45 (39.8%) were able to return to baseline work. Conclusions Despite the majority of patients having severe to critical COVID infection during admission, most were asymptomatic within 3 months post-discharge. In those who developed persistent symptoms, dyspnea, cough, and fatigue were the most common symptoms identified regardless of COVID severity. Majority did not require special care needs.

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Section: Discussionmentioning

confidence: 99%

Description of Post-discharge Outcomes of Patients with COVID-19 in a Tertiary Referral Center in the Philippines

2023

Acta Med Philipp

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“…Diagnostic tests were collected in the nursing homes, and nasopharyngeal swabs were sent to the reference laboratory (Hospital Universitario Ramón y Cajal) for PCR analysis. In residents, geriatric assessments, including Barthel scores for activities of daily living [ 24 ] and the Spanish-validated version of the MiniMental State exam, Lobo-MMT for cognitive function assessment [ 25 ], were performed. All participants were informed of the results of all tests, but personal data were anonymized for the analysis.…”

Section: Methodsmentioning

confidence: 99%

Factors Associated with SARS-CoV-2 Infection in Fully Vaccinated Nursing Home Residents and Workers

Mateos-Nozal,

Rodríguez-Domínguez,

San Román

et al. 2024

Viruses

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Persons living or working in nursing homes faced a higher risk of SARS-CoV-2 infections during the pandemic, resulting in heightened morbidity and mortality among older adults despite robust vaccination efforts. This prospective study evaluated the humoral and cellular immunity in fully vaccinated residents and workers from two nursing homes in Madrid, Spain, from 2020 to 2021. Measurements of IgG levels were conducted in August 2020 (pre-vaccination) and June and September 2021 (post-vaccination), alongside assessments of neutralizing antibodies and cellular responses in September 2021 among the most vulnerable individuals. Follow-up extended until February 2022 to identify risk factors for SARS-CoV-2 infection or mortality, involving 267 residents (mean age 87.6 years, 81.3% women) and 302 workers (mean age 50.7 years, 82.1% women). Residents exhibited a significantly higher likelihood of experiencing COVID-19 before June 2021 compared with nursing staff (OR [95% CI], 7.2 [3.0 to 17.2], p < 0.01). Participants with a history of previous COVID-19 infection showed more significant increases in IgG levels in August 2020, June 2021 and September 2021, alongside an increased proportion of neutralizing antibodies in the most vulnerable individuals. However, IgG decay remained the same between June and September 2021 based on the previous COVID-19 status. During the Omicron variant wave, residents and staff showed a similar rate of SARS-CoV-2 infection. Notably, preceding clinical or immunological factors before receiving three vaccination doses did not demonstrate associations with COVID-19 infection or overall mortality in our participant cohort.

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“…By assigning scores to each element and summarizing these scores, the BI is derived, ranging from 0 to 100. A higher BI score indicates greater autonomy and proficiency in performing daily life activities (6,(25)(26)(27).…”

Section: Study Population 23 Assessment Of Adlmentioning

confidence: 99%

Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health

Guo,

Xu,

et al. 2024

Front. Public Health

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BackgroundEPs pose significant challenges to individual health and quality of life, attracting attention in public health as a risk factor for diminished quality of life and healthy life expectancy in middle-aged and older adult populations. Therefore, in the context of global aging, meticulous exploration of the factors behind emotional issues becomes paramount. Whether ADL can serve as a potential marker for EPs remains unclear. This study aims to provide new evidence for ADL as an early predictor of EPs through statistical analysis and validation using machine learning algorithms.MethodsData from the 2018 China Health and Retirement Longitudinal Study (CHARLS) national baseline survey, comprising 9,766 samples aged 45 and above, were utilized. ADL was assessed using the BI, while the presence of EPs was evaluated based on the record of “Diagnosed with Emotional Problems by a Doctor” in CHARLS data. Statistical analyses including independent samples t-test, chi-square test, Pearson correlation analysis, and multiple linear regression were conducted using SPSS 25.0. Machine learning algorithms, including Support Vector Machine (SVM), Decision Tree (DT), and Logistic Regression (LR), were implemented using Python 3.10.2.ResultsPopulation demographic analysis revealed a significantly lower average BI score of 65.044 in the “Diagnosed with Emotional Problems by a Doctor” group compared to 85.128 in the “Not diagnosed with Emotional Problems by a Doctor” group. Pearson correlation analysis indicated a significant negative correlation between ADL and EPs (r = −0.165, p < 0.001). Iterative analysis using stratified multiple linear regression across three different models demonstrated the persistent statistical significance of the negative correlation between ADL and EPs (B = −0.002, β = −0.186, t = −16.476, 95% CI = −0.002, −0.001, p = 0.000), confirming its stability. Machine learning algorithms validated our findings from statistical analysis, confirming the predictive accuracy of ADL for EPs. The area under the curve (AUC) for the three models were SVM-AUC = 0.700, DT-AUC = 0.742, and LR-AUC = 0.711. In experiments using other covariates and other covariates + BI, the overall prediction level of machine learning algorithms improved after adding BI, emphasizing the positive effect of ADL on EPs prediction.ConclusionThis study, employing various statistical methods, identified a negative correlation between ADL and EPs, with machine learning algorithms confirming this finding. Impaired ADL increases susceptibility to EPs.

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The prognostic value of the Barthel Index for mortality in patients with COVID-19: A cross-sectional study

Cited by 8 publications

References 50 publications

Description of Post-discharge Outcomes of Patients with COVID-19 in a Tertiary Referral Center in the Philippines

Description of Post-discharge Outcomes of Patients with COVID-19 in a Tertiary Referral Center in the Philippines

Factors Associated with SARS-CoV-2 Infection in Fully Vaccinated Nursing Home Residents and Workers

Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health

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