Evidence map›Paper›PMID 32989560›Full record

ArticleInternational orthopaedics2021

High platelet-to-lymphocyte ratio predicts poor survival of elderly patients with hip fracture.

Zhicong Wang, Hong Wang, Ling Yang, Wei Jiang, Xi Chen, Yuehong Liu

Abstract read
In one paragraph

Article in International orthopaedics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

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39citing papers in PubMed, 2 pooled it
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3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhicong WangOrthopaedic Center of Deyang City, Department of Orthopedic Surgery, People's Hospital of Deyang City, Deyang, 618000, Sichuan, China.
Hong WangOrthopaedic Center of Deyang City, Department of Orthopedic Surgery, People's Hospital of Deyang City, Deyang, 618000, Sichuan, China.
Ling YangOrthopaedic Center of Deyang City, Department of Orthopedic Surgery, People's Hospital of Deyang City, Deyang, 618000, Sichuan, China.
Wei JiangOrthopaedic Center of Deyang City, Department of Orthopedic Surgery, People's Hospital of Deyang City, Deyang, 618000, Sichuan, China.
Xi ChenOrthopaedic Center of Deyang City, Department of Orthopedic Surgery, People's Hospital of Deyang City, Deyang, 618000, Sichuan, China.
Yuehong LiuOrthopaedic Center of Deyang City, Department of Orthopedic Surgery, People's Hospital of Deyang City, Deyang, 618000, Sichuan, China. doctorliuyuehong@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe platelet-to-lymphocyte ratio (PLR) has been extensively studied in various diseases. However, the relationship between PLR and hip fracture remains unknown. The aim of this study was to evaluate whether PLR would be an independent prognostic factor in elderly hip fracture patients.

methodsBetween January 2014 and December 2018, a retrospective cohort study was conducted in a orthopaedic centre, China. A total of 460 hip fracture patients were included. PLR was calculated as the ratio of platelet to lymphocyte counts and divided into high PLR group (≥ 189) and low PLR group (< 189) by using the receiver operating characteristic (ROC) curve. The relationship between PLR and one year all-cause mortality rate was assessed by univariate and multivariate Cox proportional hazard models. Further subgroup analysis stratified by different clinical and biological characteristics was performed to make the results more accurate.

resultsAfter a median follow-up of 32.0 months (range, 12.0-75.4), 92 patients (mortality rate: 20.0%) died within one year. PLR was significantly higher in dead patients compared with alive patients (p < 0.05), and high PLR group also had a high mortality rate (32.21% vs. 14.15%, p < 0.001). After multivariate adjustment, high PLR remained an independent predictor for one year all-cause mortality (adjusted hazard ratio (HR) 1.56, 95% confidence interval (CI) 1.02-2.41, p = 0.041). Moreover, advanced age (HR 1.05, 95% CI 1.01-1.08), male (HR 1.62, 95% CI 1.06-2.45), CCI ≥ 2 (HR 2.83, 95% CI 1.64-4.89), conservative treatment (HR 5.94, 95% CI 3.71-9.73), low haemoglobin level (HR 1.02, 95% CI 1.01-1.04), and low albumin level (HR 1.07, 95% CI 1.02-1.13) were independent risk factors for survival. Furthermore, subgroup analysis results were consistent with the main findings in most stratified groups.

conclusionThis study highlights that high PLR (≥ 189) is associated with increased one year all-cause mortality in elderly hip fracture patients. As PLR is a simple indicator that can be calculated from the blood routine test, it can be easily performed in usual clinical practice.

Indexed as

Blood PlateletsLymphocytesAgedChinaHumansMaleNeutrophilsPrognosisRetrospective StudiesElderlyHip fractureMortalityPlatelet-to-lymphocyte ratioPrognosis

Identifiers

PMID32989560
PMCPMC7521768

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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.