Association Between Inflammation-based Prognostic Markers and Mortality After Hip Replacement

Overview

Journal Sci Rep

Specialty Science

Date 2024 Apr 22

PMID 38649407

Authors

Ah Ran Oh

Ji-Hye Kwon

Gayoung Jin

So Myung Kong

Dong Jae Lee

Jungchan Park

Affiliations

Soon will be listed here.

Abstract

We aimed to evaluate the association between inflammation-based prognostic markers and mortality after hip replacement. From March 2010 to June 2020, we identified 5,369 consecutive adult patients undergoing hip replacement with C-reactive protein (CRP), albumin, and complete blood count measured within six months before surgery. Receiver operating characteristic (ROC) curves were generated to evaluate predictabilities and estimate thresholds of CRP-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR). Patients were divided according to threshold, and mortality risk was compared. The primary outcome was one-year mortality, and overall mortality was also analyzed. One-year mortality was 2.9%. Receiver operating characteristics analysis revealed areas under the curve of 0.838, 0.832, 0.701, and 0.732 for CAR, NLR, PLR, and modified Glasgow Prognostic Score, respectively. The estimated thresholds were 2.10, 3.16, and 11.77 for CAR, NLR, and PLR, respectively. According to the estimated threshold, high CAR and NLR were associated with higher one-year mortality after adjustment (1.0% vs. 11.7%; HR = 2.16; 95% CI 1.32-3.52; p = 0.002 for CAR and 0.8% vs. 9.6%; HR = 2.05; 95% CI 1.24-3.39; p = 0.01 for NLR), but PLR did not show a significant mortality increase (1.4% vs. 7.4%; HR = 1.12; 95% CI 0.77-1.63; p = 0.57). Our study demonstrated associations of preoperative levels of CAR and NLR with postoperative mortality in patients undergoing hip replacement. Our findings may be helpful in predicting mortality in patients undergoing hip replacement.

References

Mungan I, Bayindir Dicle C, Bektas S, Sari S, Yamanyar S, Cavus M . Does the preoperative platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio predict morbidity after gastrectomy for gastric cancer?. Mil Med Res. 2020; 7(1):9. PMC: 7049207. DOI: 10.1186/s40779-020-00234-y. View

Aslan A, Atay T, Aydogan N . Risk factors for mortality and survival rates in elderly patients undergoing hemiarthroplasty for hip fracture. Acta Orthop Traumatol Turc. 2020; 54(2):138-143. PMC: 7286162. DOI: 10.5152/j.aott.2020.02.298. View

Hu H, Feng Z, Lin H, Zhao J, Zhang Y, Xu F . Modeling and analyzing single-cell multimodal data with deep parametric inference. Brief Bioinform. 2023; 24(1). DOI: 10.1093/bib/bbad005. View

Jin J, Xu F, Liu Z, Qi H, Yao C, Shuai J . Biphasic amplitude oscillator characterized by distinct dynamics of trough and crest. Phys Rev E. 2024; 108(6-1):064412. DOI: 10.1103/PhysRevE.108.064412. View

Lefaivre K, Macadam S, Davidson D, Gandhi R, Chan H, Broekhuyse H . Length of stay, mortality, morbidity and delay to surgery in hip fractures. J Bone Joint Surg Br. 2009; 91(7):922-7. DOI: 10.1302/0301-620X.91B7.22446. View

Capkin S, Guler S, Ozmanevra R . C-Reactive Protein to Albumin Ratio May Predict Mortality for Elderly Population Who Undergo Hemiarthroplasty Due to Hip Fracture. J Invest Surg. 2020; 34(11):1272-1277. DOI: 10.1080/08941939.2020.1793038. View

Konigsbrugge O, Posch F, Riedl J, Reitter E, Zielinski C, Pabinger I . Association Between Decreased Serum Albumin With Risk of Venous Thromboembolism and Mortality in Cancer Patients. Oncologist. 2016; 21(2):252-7. PMC: 4746083. DOI: 10.1634/theoncologist.2015-0284. View

Austin P, Stuart E . Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med. 2015; 34(28):3661-79. PMC: 4626409. DOI: 10.1002/sim.6607. View

Dolan R, McMillan D . The prevalence of cancer associated systemic inflammation: Implications of prognostic studies using the Glasgow Prognostic Score. Crit Rev Oncol Hematol. 2020; 150:102962. DOI: 10.1016/j.critrevonc.2020.102962. View

10.

Forget P, Moreau N, Engel H, Cornu O, Boland B, De Kock M . The neutrophil-to-lymphocyte ratio (NLR) after surgery for hip fracture (HF). Arch Gerontol Geriatr. 2014; 60(2):366-71. DOI: 10.1016/j.archger.2014.11.008. View

11.

Jilma B, Blann A, Pernerstorfer T, Stohlawetz P, Eichler H, Vondrovec B . Regulation of adhesion molecules during human endotoxemia. No acute effects of aspirin. Am J Respir Crit Care Med. 1999; 159(3):857-63. DOI: 10.1164/ajrccm.159.3.9805087. View

12.

Yamanaka T, Matsumoto S, Teramukai S, Ishiwata R, Nagai Y, Fukushima M . The baseline ratio of neutrophils to lymphocytes is associated with patient prognosis in advanced gastric cancer. Oncology. 2008; 73(3-4):215-20. DOI: 10.1159/000127412. View

13.

Yang L, Huang Y, Zhou L, Dai Y, Hu G . High pretreatment neutrophil-to-lymphocyte ratio as a predictor of poor survival prognosis in head and neck squamous cell carcinoma: Systematic review and meta-analysis. Head Neck. 2019; 41(5):1525-1535. PMC: 6590244. DOI: 10.1002/hed.25583. View

14.

Wang W, Zhang L, Sun J, Zhao Q, Shuai J . Predicting the potential human lncRNA-miRNA interactions based on graph convolution network with conditional random field. Brief Bioinform. 2022; 23(6). DOI: 10.1093/bib/bbac463. View

15.

Ouanezar H, Jalaguier T, Franck F, Pibarot V, Bothorel H, Saffarini M . Mid-term outcomes of titanium modular neck femoral stems in revision total hip arthroplasty. Ann Transl Med. 2019; 7(5):92. PMC: 6462653. DOI: 10.21037/atm.2019.01.34. View

16.

Guerra M, Viana R, Feil L, Feron E, Maboni J, Vargas A . One-year mortality of elderly patients with hip fracture surgically treated at a hospital in Southern Brazil. Rev Bras Ortop. 2017; 52(1):17-23. PMC: 5290128. DOI: 10.1016/j.rboe.2016.11.006. View

17.

Hu H, Feng Z, Lin H, Cheng J, Lyu J, Zhang Y . Gene function and cell surface protein association analysis based on single-cell multiomics data. Comput Biol Med. 2023; 157:106733. DOI: 10.1016/j.compbiomed.2023.106733. View

18.

Meng R, Yin S, Sun J, Hu H, Zhao Q . scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention. Comput Biol Med. 2023; 165:107414. DOI: 10.1016/j.compbiomed.2023.107414. View

19.

Chen Z, Zhang L, Sun J, Meng R, Yin S, Zhao Q . DCAMCP: A deep learning model based on capsule network and attention mechanism for molecular carcinogenicity prediction. J Cell Mol Med. 2023; 27(20):3117-3126. PMC: 10568665. DOI: 10.1111/jcmm.17889. View

20.

Wang Z, Wang H, Yang L, Jiang W, Chen X, Liu Y . High platelet-to-lymphocyte ratio predicts poor survival of elderly patients with hip fracture. Int Orthop. 2020; 45(1):13-21. PMC: 7521768. DOI: 10.1007/s00264-020-04833-1. View