Evidence map›Paper›PMID 39333963›Full record

ArticleBMC pulmonary medicine2024

The importance of high total body water/fat free mass ratio and serial changes in body composition for predicting hospital mortality in patients with severe pneumonia: a prospective cohort study.

Chia-Cheng Tseng, Kai-Yin Hung, Huang-Chih Chang, Kuo-Tung Huang, Chin-Chou Wang, Yu-Mu Chen, Chiung-Yu Lin, Meng-Chih Lin, Wen-Feng Fang

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Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

9 authors.

Chia-Cheng TsengDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao Sung District, No. 123 Ta Pei Road, Kaohsiung, 83301, Taiwan.
Kai-Yin HungDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao Sung District, No. 123 Ta Pei Road, Kaohsiung, 83301, Taiwan.
Huang-Chih ChangDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao Sung District, No. 123 Ta Pei Road, Kaohsiung, 83301, Taiwan.
Kuo-Tung HuangDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao Sung District, No. 123 Ta Pei Road, Kaohsiung, 83301, Taiwan.
Chin-Chou WangDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao Sung District, No. 123 Ta Pei Road, Kaohsiung, 83301, Taiwan.
Yu-Mu ChenDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao Sung District, No. 123 Ta Pei Road, Kaohsiung, 83301, Taiwan.
Chiung-Yu LinDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao Sung District, No. 123 Ta Pei Road, Kaohsiung, 83301, Taiwan.
Meng-Chih LinDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao Sung District, No. 123 Ta Pei Road, Kaohsiung, 83301, Taiwan.
Wen-Feng FangDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao Sung District, No. 123 Ta Pei Road, Kaohsiung, 83301, Taiwan. fangwf@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the impact of body composition variables on hospital mortality compared to other predictive factors among patients with severe pneumonia. Additionally, we aimed to monitor the dynamic changes in body composition variables over the course on days 1, 3, and 8 after intensive care unit (ICU) admission for each patient.

methodsWe conducted a prospective study, enrolling patients with severe pneumonia admitted to the medical intensive care unit at Kaohsiung Chang Gung Memorial Hospital from February 2020 to April 2022. We collected clinical data from all patients and assessed their body composition at 1, 3, and 8 days post-ICU admission. On day 1, we analyzed clinical and body composition variables to predict in-hospital mortality.

resultsMultivariate analysis identified the Modified Nutrition Risk in the Critically Ill (mNUTRIC) score and the ratio of total body water to fat-free mass (TBW/FFM) as independent factors associated with in-hospital mortality in severe pneumonia patients. Receiver operating characteristic analysis determined that the TBW/FFM ratio was the most reliable predictive parameter of in-hospital mortality, with a cutoff value of 0.74. General linear regression with repeated measures analysis showed that hospital non-survivors displayed notable fluctuations in body water, fat, and muscle variables over the course of days 1, 3, and 8 after ICU admission.

conclusionsThe mNUTRIC score and TBW/FFM ratio emerged as independent factors for predicting hospital mortality, with the TBW/FFM ratio demonstrating the highest reliability as a predictive parameter.

Indexed as

Body CompositionHospital MortalityIntensive Care UnitsPneumoniaAgedAged, 80 and overBody WaterCritical IllnessFemaleHumansMaleMiddle AgedProspective StudiesROC CurveSeverity of Illness IndexTaiwanBody compositionHospital mortalityNutritionSevere pneumonia

Identifiers

PMID39333963
PMCPMC11437920

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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.