Evidence map›Paper›PMID 39920192›Full record

Observational studyScientific reports2025

Hospital frailty risk score predicts graft failure severe infection and mortality in hospitalized kidney transplant recipients from 2010 to 2018 US data.

Lumin Chen, Feifan Chu, Hangbin Ma, Zujie Chen, Yuning Ma, Qiwei Ji, Hao Zhou

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Lumin ChenDepartment of Urology, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Feifan ChuDepartment of Urology, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Hangbin MaDepartment of Urology, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Zujie ChenDepartment of Urology, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Yuning MaDepartment of Urology, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Qiwei JiDepartment of Urology, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Hao ZhouDepartment of Urology, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China. haozhou@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty is frequently assessed in elderly patients as an indicator of poor outcomes after hospitalization and surgery. Compared to age-matched nonfrail people, frail people need greater assistance with everyday activities and are more likely to suffer adverse events leading to mortality. Recently, the hospital frailty risk score (HFRS) was proposed for quantifying frailty. The number of older people with end-stage renal disease (ESRD) is continuing to increase, and more data have shown that frailty could predict adverse outcomes in kidney transplantation (KT) patients. Moreover, the pre-kidney transplantation HFRS was strongly associated with surgical complications and other adverse and postoperative outcomes. However, it is yet unknown how frailty affects transplant failure prognosis, inpatient mortality and morbidity, and infection. In this retrospective observational study, we extracted data on 185,742 patients from the National Inpatient Sample (NIS) database in the United States. The patients were further separated into three groups based on the HFRS. The study revealed that 24.6% of admitted patients who underwent KT were frail (HFRS > = 5). HFRS stratification can be used to predict the risk of in-hospital mortality, longer LOS, graft failure, and adverse discharge. Furthermore, frail patients who undergo KT are more likely to develop severe infection according to the HFRS-defined frailty classification. According to these findings, frailty remains a severe problem after KT, and patients who undergo KT should be monitored to prevent adverse effects.

Indexed as

FrailtyGraft RejectionInfectionsKidney Failure, ChronicKidney TransplantationAdultAgedFemaleHospitalizationHospital MortalityHumansMaleMiddle AgedPostoperative ComplicationsPrognosisRetrospective StudiesFrailtyGraft failureKidney transplant recipient (KTR)Nationwide inpatient sample (NIS)

Identifiers

PMID39920192
PMCPMC11805901

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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.