Evidence map›Paper›PMID 41521334›Full record

ArticleBMC geriatrics2026

Impact of body mass index on hospital mortality of old and oldest- old critically ill patients: a retrospective study.

Shan-Shan Huang, Hai-Yan Mao, Yi Ding, Xiao-Na Yi, Tong Lin, Fen Zhou, Yan Lu, Yu-Hong Jin, Bing-Bing Jia, Zhou-Xin Yang

Abstract read
In one paragraph

Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Shan-Shan Huang *Department of Critical Care Medicine, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315100, China.
Hai-Yan Mao *Department of Critical Care Medicine, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315100, China.
Yi DingDepartment of Critical Care Medicine, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315100, China.
Xiao-Na YiDepartment of Critical Care Medicine, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315100, China.
Tong LinDepartment of Critical Care Medicine, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315100, China.
Fen ZhouDepartment of Critical Care Medicine, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315100, China.
Yan LuZhejiang Key Laboratory of Geriatrics and Geriatrics Institute of Zhejiang Province, Zhejiang Hospital, Hangzhou, 310030, China.
Yu-Hong JinDepartment of Critical Care Medicine, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315100, China. jinyuhong2023@163.com.
Bing-Bing JiaZhejiang Key Laboratory of Geriatrics and Geriatrics Institute of Zhejiang Province, Zhejiang Hospital, Hangzhou, 310030, China. 81605466@qq.com.
Zhou-Xin YangZhejiang Key Laboratory of Geriatrics and Geriatrics Institute of Zhejiang Province, Zhejiang Hospital, Hangzhou, 310030, China. yangzhouxin@hotmail.com.

Funding

the Department of Health of Zhejiang Province 2020KY388Zhejiang Provincial Natural Science Foundation of China LY22H250001
6 · The paper itself

Abstract

backgroundWith advancing age, the Obesity Paradox undergoes changes. This study aims to investigate the applicability of the Obesity Paradox in elderly critically ill patients.

methodsA total of 16,050 elderly critically ill patients were included in this study. Linear regression analysis was employed to examine the relationship between BMI and ICU length of stay (LOS_ICU), hospital length of stay (LOS_Hospital), and hospital mortality in elderly critically ill patients. The correlation between BMI and hospital mortality of elderly critically ill patients was analyzed by logistic regression analysis and subgroup analysis with adjustment for covariates.

resultsThe 65–80 years age group exhibited the lowest hospital mortality, LOS_ICU, and LOS_Hospital in the overweight group. In the > 90 years age group, the obese demonstrated the highest LOS_ICU and LOS_Hospital. For the elderly population, overweight and obese critically ill patients had a significantly lower risk of hospital mortality (p < 0.05), while underweight patients had a significantly increased risk of hospital mortality (p < 0.05). However, after Bonferroni adjustment, the association between BMI groups and hospital mortality showed no statistical significance (p adjust > 0.00125). In the 65–80 years age group, the odds ratios (ORs) (95% confidence intervals [CI]) for overweight and obese were 0.76 (0.63, 0.92) and 0.71 (0.59, 0.85). For individuals aged 80–90 years, the ORs (95% CI) for overweight and obese were 0.77 (0.61, 0.95) and 0.84 (0.65, 1.07). For individuals aged > 90 years, the ORs (95% CI) for overweight and obese were 1.46 (0.97, 2.18) and 1.00 (0.53, 1.86).

conclusionWhile overweight and obesity are associated with a reduced overall risk of hospital mortality in elderly critically ill patients, this protective association appears to be attenuated in individuals aged over 90 years. However, these associations were not significant after Bonferroni correction for multiple comparisons, highlighting the need for validation through larger-scale longitudinal studies.

Indexed as

Body Mass IndexCritical IllnessHospital MortalityObesityAgedAged, 80 and overFemaleHumansLength of StayMaleObesity ParadoxRetrospective StudiesBody mass indexCritically illElderlyHospital mortalityRetrospective study

Identifiers

PMID41521334
PMCPMC12896001

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.