Evidence map›Paper›PMID 35791648›Full record

ArticleAcute and critical care2022

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

Yong Sub Na, Jin Hyoung Kim, Moon Seong Baek, Won-Young Kim, Ae-Rin Baek, Bo Young Lee, Gil Myeong Seong, Song-I Lee

Open access · diamondAbstract read
In one paragraph

Article in Acute and critical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 1 country.

Yong Sub NaDepartment of Pulmonology and Critical Care Medicine, Chosun University Hospital, Gwangju, Korea.
Jin Hyoung KimDivision of Respiratory and Critical Care Medicine, Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.
Moon Seong BaekDepartment of Internal Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea.
Won-Young KimDepartment of Internal Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea.
Ae-Rin BaekDivision of Allergy and Pulmonology, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.
Bo Young LeeDivision of Allergy and Respiratory Diseases, Soonchunhyang University Hospital, Seoul, Korea.
Gil Myeong SeongDepartment of Internal Medicine, Jeju National University College of Medicine, Jeju, Korea.
Song-I LeeDepartment of Pulmonary and Critical Care Medicine, Chungnam National University Hospital, Daejeon, Korea.
Chung-Ang University Hospital · KRChosun University Hospital · KRChungnam National University Hospital · KRJeju National University · KRSoonchunhyang University · KRSoonchunhyang University Hospital Seoul · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElderly 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.

methodsThis 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.

resultsThe 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.

conclusionsThe SOFA score is an efficient tool for assessing in-hospital mortality in elderly patients with severe COVID-19.

Indexed as

COVID-19critical careelderlymortality

Identifiers

PMID35791648
PMCPMC9475168
OpenAlexW4283812650

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.