Literature DB >> 36127624

Prealbumin as a nutrition status indicator may be associated with outcomes of geriatric hip fractures: a propensity score matching and 1-year follow-up study.

Mingchong Liu1, Shengchao Ji1, Chensong Yang1, Tianhao Zhang2, Ning Han1, Yutao Pan1, Xian Xu1, Jian Lin3, Guixin Sun4.   

Abstract

AIM: Nutrition status may affect bone metabolism and regeneration in the elderly. However, few studies reported a sensitive nutrition indicator or evaluation tool for geriatric hip fractures. This study aimed to explore if prealbumin (PAB), a critical nutrition-related protein, is related to the prognosis of hip fractures.
METHODS: Patients with hip fractures who met the inclusion criteria were included in our study. Geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) were calculated. Propensity score matching (PSM) was used to reduce the influence of confounding factors and ROC curves were conducted to explore the optimal cutoff points of PAB and to compare the prognostic value between GNRI, PNI, and PAB. Then Cox and Logistics analyses were performed to identify the relation between PAB and outcomes of hip fractures.
RESULTS: Out of the 546 patients enrolled in this study, 91 patients died within one year. After a 1:1 PSM, the patients with less than 1-year survival had significantly lower PAB (p < 0.001) than those who were still alive at one year. ROC curves showed that the PAB may sensitively predict 6-month survival (AUROC: 0.695), 1-year survival (AUROC: 0.696), and 1-year-free walking ability (AUROC: 0.642). Logistics analysis showed that low PAB may be an independent risk factor for survival and 1-year-free walking ability.
CONCLUSION: Low levels of PAB may be associated with poor survival and walking abilities of older patients after surgery for hip fracture.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Elderly; Hip fractures; Nutrition status; Prealbumin; Prognosis

Year:  2022        PMID: 36127624     DOI: 10.1007/s40520-022-02243-4

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   4.481


  38 in total

1.  CONUT: a tool for controlling nutritional status. First validation in a hospital population.

Authors:  J Ignacio de Ulíbarri; A González-Madroño; N G P de Villar; P González; B González; A Mancha; F Rodríguez; G Fernández
Journal:  Nutr Hosp       Date:  2005 Jan-Feb       Impact factor: 1.057

2.  Geriatric Nutritional Risk Index: a new index for evaluating at-risk elderly medical patients.

Authors:  Olivier Bouillanne; Gilles Morineau; Claire Dupont; Isabelle Coulombel; Jean-Pierre Vincent; Ioannis Nicolis; Simone Benazeth; Luc Cynober; Christian Aussel
Journal:  Am J Clin Nutr       Date:  2005-10       Impact factor: 7.045

3.  Prognostic nutritional index in gastrointestinal surgery.

Authors:  G P Buzby; J L Mullen; D C Matthews; C L Hobbs; E F Rosato
Journal:  Am J Surg       Date:  1980-01       Impact factor: 2.565

Review 4.  Prealbumin: a marker for nutritional evaluation.

Authors:  Frederick K Beck; Thomas C Rosenthal
Journal:  Am Fam Physician       Date:  2002-04-15       Impact factor: 3.292

Review 5.  What do hip fracture patients die from?

Authors:  Spyridon Katsanos; Spyridon Sioutis; Lampros Reppas; Evanthia Mitsiokapa; Aikaterini Tsatsaragkou; Dimitrios Mastrokalos; Dimitrios Koulalis; Andreas F Mavrogenis
Journal:  Eur J Orthop Surg Traumatol       Date:  2022-03-24

Review 6.  Arthroplasties for hip fracture in adults.

Authors:  Sharon R Lewis; Richard Macey; Martyn J Parker; Jonathan A Cook; Xavier L Griffin
Journal:  Cochrane Database Syst Rev       Date:  2022-02-14

7.  Multicollinearity and misleading statistical results.

Authors:  Jong Hae Kim
Journal:  Korean J Anesthesiol       Date:  2019-07-15

8.  The GLIM Criteria Represent a More Appropriate Tool for Nutritional Assessment in Patients With Crohn's Disease.

Authors:  Yong Li; Ziheng Peng; Duo Xu; Yu Peng; Xiaowei Liu
Journal:  Front Nutr       Date:  2022-03-28

9.  Charlson Comorbidity Index in Predicting Poor Clinical Outcomes and Mortality in Patients with COVID-19.

Authors:  Serap Argun Barış; Haşim Boyacı; Sıla Akhan; Birsen Mutlu; Müge Deniz; İlknur Başyiğit
Journal:  Turk Thorac J       Date:  2022-03

10.  Healthcare for Older Adults, Where Are We Moving towards?

Authors:  Francisco José Tarazona-Santabalbina; Sebastià Josep Santaeugènia Gonzàlez; José Augusto García Navarro; Jose Viña
Journal:  Int J Environ Res Public Health       Date:  2021-06-08       Impact factor: 3.390

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