已发表论文

基于术前免疫炎症相关指标开发的新型列线图预测老年髋部骨折患者术后谵妄风险:一项单中心回顾性队列研究

 

Authors Chen X, Fan Y, Tu H, Chen J

Received 16 August 2024

Accepted for publication 2 October 2024

Published 9 October 2024 Volume 2024:17 Pages 7155—7169

DOI https://doi.org/10.2147/JIR.S485181

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Ning Quan

Xiao Chen,* Yuanhe Fan,* Hongliang Tu,* Jie Chen

Department of Orthopedics, The First People’s Hospital of Neijiang, Neijiang, Sichuan, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Xiao Chen, Department of Orthopedics, The First People’s Hospital of Neijiang, Neijiang, Sichuan, People’s Republic of China, Email 342918992@qq.com

Objective: Postoperative delirium (POD) commonly occurs in elderly individuals following hip fracture surgery, with unclear pathophysiological mechanism. Inflammation is a known factor affecting the onset of delirium. The current work aimed to examine the associations of preoperative immune inflammation-related indicators with POD occurrence in elderly cases following hip fracture surgery.
Methods: The current retrospective cohort study included 437 elderly cases administered hip fracture surgery from January 2018 to December 2023. The clinicodemographic data and laboratory findings of all cases were retrospectively analyzed. Immune inflammation-related indicators were assessed, eg, MLR, NLR and PLR, as well as SII and SIRI. The bootstrap method was employed to assign cases at 7:3 to the training (48 and 258 cases in the POD and no-POD groups, respectively) and internal validation (13 and 118 cases in the POD and no-POD groups, respectively) cohorts. Next, LASSO, univariable and multivariable logistic regression analyses were applied to determine risk factors in the training cohort, based on which a nomogram model was built. The obtained nomogram was examined for accuracy by calibration plot analysis. Finally, the nomogram’s clinical value was assessed by decision curve analysis (DCA), followed by internal validation based on the training cohort.
Results: Of all 437 cases, 61 developed POD, indicating a POD incidence of 13.96%. LASSO regression and multivariable analyses revealed preoperative SIRI independently predicted POD in the training cohort. The developed nomogram had an area under the curve (AUC) of 0.991 (95% CI 0.983~0.998) in the training cohort versus 0.986 (95% CI 0.966~1.000) in the validation cohort. Calibration curve analysis revealed nomogram-predicted and actual probabilities were in line. DCA demonstrated the novel nomogram could confer net benefits for POD prediction in elderly cases administered hip fracture surgery.
Conclusion: The immune inflammation-related indicators SIRI could predict POD in elderly cases following hip fracture surgery.

Keywords: postoperative delirium, hip fracture, elderly, immune inflammation related indicators, nomogram