Evidence map›Paper›PMID 39550528›Full record

ArticleBMC geriatrics2024

The perioperative frailty index derived from the Chinese hospital information system: a validation study.

Muxin Chen, Hao Liang, Yidi Zhao, Ruotong Liao, Jiamin Fang, Lijun Lin, Ping Tan, Yiyin Xu, Shaohua Chen, Hongyun Chen and 1 more

Abstract readValidation Study
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Muxin Chen *Department of Respiratory and Critical Care Medicine, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Qingyuan, 511518, China.
Hao Liang *Department of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Yidi ZhaoSchool of Nursing, Hunan University of Chinese Medicine, Changsha, China, 410208.
Ruotong LiaoDepartment of Trauma and Foot-Ankle Surgery, Department of Knee Osteopathy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Jiamin FangThe Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, 510006, China.
Lijun LinDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Ping TanDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Yiyin XuDepartment of Trauma and Foot-Ankle Surgery, Department of Knee Osteopathy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Shaohua ChenDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Hongyun ChenDepartment of Sports Medicine, Department of Senile Fracture, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.
Lin WeiState Key Laboratory of Traditional Chinese Medicine Syndrome/Department of Nursing, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine/Guangdong Provincial Hospital of Chinese Medicine, Dade Road 111,Yuexiu District, Guangzhou, Guangdong, 510120, China. weilin22@gzucm.edu.cn.

Funding

The study was supported by the Institute of Science and Technology of the National Health Commission of the People's Republic of China No.2021KYSHX016010201
6 · The paper itself

Abstract

backgroundThere are various frailty assessment tools in the world, and the application choice of frailty assessment tools for the elderly perioperative population varies. It remains unclear which frailty assessment tool is more suitable for the perioperative population in China. To validate the Perioperative Frailty Index (FI-32) derived from the Chinese Hospital Information System by investigating the impact of preoperative frailty on postoperative outcomes, and ascertain the diagnostic value of FI-32 for predicting postoperative complications through comparing with the FRAIL scale and the modified Frailty Index (mFI-11).

methodsA prospective cohort study was conducted in a tertiary hospital. Elderly patients who were 60 years or older and underwent selective operation were included. The FI-32, FRAIL scale, and mFI-11 were assessed. Demographic, surgical variables and outcome variables were extracted from medical records. The data of readmission and mortality within 30 days and 90 days of surgery were ascertained by Telephone follow-up by professionally trained researchers. Multiple logistic regression was used to examine the association between frailty and complications. Receiver operating characteristic curves(ROC) were used to compare FI-32 with mFI-11 and FRAIL, to explore the predictive ability of frailty.

results335 patients qualified for the inclusion criteria and were enrolled in the study, and among them, 201 (60.0%) were females, and the Median(P

conclusionsThe FI-32 has a predictive effect on postoperative adverse outcomes in elderly Chinese patients. Compared to FRAIL and mFI-11, the FI-32 had the same ability to predict postoperative complications, and FI-32 can be extracted directly from HIS, which greatly saves the time for clinical medical staff to evaluate perioperative frailty.

Indexed as

FrailtyGeriatric AssessmentHospital Information SystemsPostoperative ComplicationsAgedAged, 80 and overChinaCohort StudiesFemaleFrail ElderlyHumansMaleMiddle AgedPerioperative PeriodProspective StudiesFrailtyPerioperative complicationPerioperative frailty index( FI-32)Postoperative outcomes

Identifiers

PMID39550528
PMCPMC11568543

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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.