Evidence map›Paper›PMID 37924144›Full record

ArticleJournal of orthopaedic surgery and research2023

Risk factors for short-term mortality in elderly hip fracture patients with complicated heart failure in the ICU: A MIMIC-IV database analysis using nomogram.

Yining Lu, Wei Chen, Yuhui Guo, Yujing Wang, Ling Wang, Yingze Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 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

6 authors at 2 institutions in 1 country.

Yining LuDepartment of Orthopedic Research Center, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Wei ChenDepartment of Orthopedic Research Center, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yuhui GuoDepartment of Orthopedic Research Center, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yujing WangDepartment of Orthopedic Research Center, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Ling WangDepartment of Orthopedic Research Center, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China. wangling2016uw@126.com.
Yingze ZhangDepartment of Orthopedic Research Center, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China. yzling_liu@163.com.
Third Hospital of Hebei Medical University · CNHebei Medical University · CN

Funding

Key Project of Hebei Provincial Natural Fund H2021206176National Natural Science Foundation of China 82173210
6 · The paper itself

Abstract

backgroundHip fracture is a prevalent and hazardous injury among the elderly population that often results in intensive care unit (ICU) admission due to various complications, despite advanced medical science. One common complication experienced in the ICU by elderly hip fracture patients is heart failure, which significantly impacts short-term survival rates. Currently, there is a deficit of adequate predictive models to forecast the short-term risk of death following heart failure for elderly hip fracture patients in the ICU. This study aims to identify independent risk factors for all-cause mortality within 30 days for elderly patients with hip fractures and heart failure while in the ICU in order to develop a predictive model.

methodA total of 641 elderly patients with hip fractures combined with heart failure were recruited from the Medical Information Mart for Intensive Care IV dataset and randomized to the training and validation sets. The primary outcome was all-cause mortality within 30 days. The least absolute shrinkage and selection operator regression was used to reduce data dimensionality and select features. Multivariate logistic regression was used to build predictive models. Consistency index (C-index), receiver operating characteristic curve, and decision curve analysis (DCA) were used to measure the predictive performance of the nomogram.

resultOur results showed that these variables including MCH, MCV, INR, monocyte percentage, neutrophils percentage, creatinine, and combined sepsis were independent factors for death within 30 days in elderly patients with hip fracture combined with heart failure in the ICU. The C-index was 0.869 (95% CI 0.823-0.916) and 0.824 (95% CI 0.749-0.900) for the training and validation sets, respectively. The results of the area under the curve and decision curve analysis (DCA) confirmed that the nomogram performed well in predicting elderly patients with hip fractures combined with heart failure in the ICU.

conclusionWe developed a new nomogram model for predicting 30-day all-cause mortality in elderly patients with hip fractures combined with heart failure in the ICU, which could be a valid and useful clinical tool for clinicians for targeted treatment and prognosis prediction.

Indexed as

Heart FailureHip FracturesAgedCreatinineHumansIntensive Care UnitsNomogramsRetrospective StudiesRisk FactorsCreatinine30-day all-cause mortalityGeriatric hip fracturesHeart failureInfectionNeutrophilsNomogram

Identifiers

PMID37924144
PMCPMC10625197
OpenAlexW4388289545

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.