Evidence map›Paper›PMID 38475664›Full record

ArticleAnnals of geriatric medicine and research2024

Predicting Mortality Risks Using Body Mass Index and Weight Loss at Admission in Patients with Heart Failure.

Yuria Ishida, Keisuke Maeda, Kenta Murotani, Akio Shimizu, Junko Ueshima, Ayano Nagano, Tatsuro Inoue, Naoharu Mori

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In one paragraph

Article in Annals of geriatric medicine and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yuria IshidaDepartment of Nutrition, Aichi Medical University Hospital, Nagakute, Aichi, Japan.
Keisuke MaedaDepartment of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Nagakute, Aichi, Japan.
Kenta MurotaniSchool of Medical Technology, Kurume University, Fukuoka, Japan.
Akio ShimizuDepartment of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Nagakute, Aichi, Japan.
Junko UeshimaDepartment of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Nagakute, Aichi, Japan.
Ayano NaganoDepartment of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Nagakute, Aichi, Japan.
Tatsuro InoueDepartment of Physical Therapy, Niigata University of Health and Welfare, Shimamicho, Niigata, Japan.
Naoharu MoriDepartment of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Nagakute, Aichi, Japan.

Funding

JSPS KAKENHI 22H04923Research Funding of Longevity Sciences 22-4
6 · The paper itself

Abstract

backgroundThe association of the combination of body mass index (BMI) and weight change at admission with prognoses in patients with heart failure (HF) is unclear. Therefore, we investigated whether BMI and weight changes at admission affect mortality in patients with HF.

methodsThis retrospective cohort study lasted 99 months, starting in April 2014, and included 4,862 patients with HF from a Japanese real-world database. Cubic and thin-plate smoothing spline analyses were performed to investigate the association of BMI and weight changes with mortality. The percentage weight change was calculated every 6 months. The study outcome was the presence or absence of death.

resultsThe patients' mean age was 81.5±9.6 years, and 1,239 (25.5%) patients died. Cubic spline analysis revealed a negative correlation of BMI with mortality hazard ratio (HR) (BMI of 18.5 kg/m2 and 25 kg/m2; HR=1.3 [1.2-1.4] and 0.8 [0.7-0.9], respectively). Cubic spline analysis of weight change showed that weight loss tended to increase the mortality HR (each 6% decrease in weight change rate was associated with a 1.1 times higher mortality risk (95% CI [1.0-1.2]) Thin-plate smoothing spline analysis showed that the odds ratio (OR) negatively correlated with BMI (1-year mortality: BMI of 18.5 kg/m2, 22 kg/m2, and 25 kg/m2; OR at 0% weight change=1.5, 1.0, and 0.7, respectively; 2-year mortality: BMI=18.5 kg/m2, 22 kg/m2, and 25 kg/m2; OR at 0% weight change=1.4, 0.9, and 0.7, respectively).

conclusionA low BMI in patients with HF was associated with a higher risk of mortality. Weight loss in patients, regardless of BMI, was associated with a higher OR for mortality.

Indexed as

Body Mass IndexHeart FailureWeight LossAgedAged, 80 and overFemaleHospitalizationHumansJapanMalePrognosisProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk FactorsAsianCachexiaHeart failureObesity paradoxPrognosis

Identifiers

PMID38475664
PMCPMC11217663

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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.