Evidence map›Paper›PMID 38979803›Full record

Observational studyESC heart failure2024

Association between frailty index based on laboratory tests and all-cause mortality in critically ill patients with heart failure.

Sutong Wang, Lin Wang, Yongcheng Wang, Shuli Zong, Hesong Fan, Yuehua Jiang, Xiao Li

Abstract readObservational Study
In one paragraph

Observational study in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
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  7. Observational
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

7 authors.

Sutong WangFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Lin WangFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yongcheng WangDepartment of Cardiovascular Diseases, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China.
Shuli ZongFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Hesong FanFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yuehua JiangCentral Laboratory, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China.
Xiao LiDepartment of Cardiovascular Diseases, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China.

Funding

National Natural Science Foundation of China 82074388National Natural Science Foundation of China 82274477
6 · The paper itself

Abstract

backgroundThe frailty index based on laboratory tests (FI-lab) can identify individuals at increased risk for adverse health outcomes. The association between the FI-lab and all-cause mortality in patients with heart failure (HF) in the intensive care unit (ICU) remains unknown. This study aimed to determine the correlation between FI-lab and all-cause mortality to evaluate the impact of FI-lab on the prognosis of critically ill patients with HF.

methodsThis retrospective observational study utilized data extracted from the Medical Information Mart for Intensive Care IV database. The FI-lab, which consists of 33 laboratory tests, was constructed. Patients were then grouped into quartiles (Q1-Q4) based on their FI-lab scores. Kaplan-Meier analysis was used to compare all-cause mortality among the four groups. A Cox proportional hazard analysis was conducted to examine the association between the FI-lab score and all-cause mortality. The incremental predictive value of adding FI-lab to classical disease severity scores was assessed using Harrell's C statistic, integrated discrimination improvement (IDI) and net reclassification improvement (NRI).

resultsAmong 3021 patients, 838 (27.74%) died within 28 days, and 1400 (46.34%) died within a 360 day follow-up period. Kaplan-Meier analysis indicated that patients with higher FI-lab scores had significantly higher risks of all-cause mortality (log-rank P < 0.001). Multivariable Cox regression suggested that FI-lab, evaluated as a continuous variable (for each 0.01 increase), was associated with increased 28 day mortality [hazard ratio (HR) 1.02, 95% confidence interval (CI) (1.01-1.03), P < 0.001] and 360 day mortality [HR 1.02, 95% CI (1.01-1.02), P < 0.001]. When assessed in quartiles, the 28 day mortality risk [HR 1.66, 95% CI (1.28-2.15), P < 0.001] and 360 day mortality risk [HR 1.48, 95% CI (1.23-1.8), P < 0.001] were significantly higher for FI-lab Q4 compared with FI-lab Q1. FI-lab significantly improved the predictive capability of classical disease severity scores for 28 and 360 day mortality.

conclusionsIn ICU patients diagnosed with HF, the FI-lab is a potent predictor of short-term and long-term mortality in critically ill patients with HF. The active use of FI-lab to identify high-risk groups among critically ill HF patients and initiate timely interventions may have significant value in improving the prognosis of critically ill patients with HF.

Indexed as

Cause of DeathCritical IllnessFrailtyHeart FailureAgedFemaleFollow-Up StudiesHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk Factorsfrailtyfrailty indexheart failurelaboratory testsMIMIC‐IV databasemortality

Identifiers

PMID38979803
PMCPMC11631249

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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.