Analysis of risk factors for early postoperative infection in patients with blunt splenic injury and establishment of predictive model

ZHOU Xi-tian; XU Zi-peng; WANG Wei-guo; DAI Zheng-xing; FANG Ling; CHEN Chao-bo

doi:10.11659/jjssx.10E025018

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Analysis of risk factors for early postoperative infection in patients with blunt splenic injury and establishment of predictive model

Clinical Research | 更新时间：2026-07-24

- Analysis of risk factors for early postoperative infection in patients with blunt splenic injury and establishment of predictive model
- JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY Vol. 35, Issue 7, Pages: 614-618(2026)
- 作者机构：
  
  1.无锡市锡山人民医院介入与血管外科，江苏无锡 214000
  2.无锡市锡山人民医院普外科，江苏无锡 214000
  3.无锡市锡山人民医院皮肤科，江苏无锡 214000
- 作者简介：
- 基金信息：
- DOI：10.11659/jjssx.10E025018
  CLC： R619+.3
- Received：09 October 2025，
  
  Online First：24 July 2026，
  
  Published：25 July 2026
- 稿件说明：
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周喜田,许紫鹏,王卫国等.钝性脾损伤术后早期感染的危险因素分析及预测模型建立[J].局解手术学杂志,2026,35(07):614-618.

ZHOU Xi-tian,XU Zi-peng,WANG Wei-guo,et al.Analysis of risk factors for early postoperative infection in patients with blunt splenic injury and establishment of predictive model[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2026,35(07):614-618.
周喜田,许紫鹏,王卫国等.钝性脾损伤术后早期感染的危险因素分析及预测模型建立[J].局解手术学杂志,2026,35(07):614-618. DOI： 10.11659/jjssx.10E025018.

ZHOU Xi-tian,XU Zi-peng,WANG Wei-guo,et al.Analysis of risk factors for early postoperative infection in patients with blunt splenic injury and establishment of predictive model[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2026,35(07):614-618. DOI： 10.11659/jjssx.10E025018.

摘要

目的

分析钝性脾损伤患者术后早期感染的危险因素，并构建列线图预测模型。

方法

回顾性分析2022年2月至2025年5月我院收治的67例钝性脾损伤患者的临床资料，根据术后是否并发感染分为感染组（15例）和未感染组（

52例）。对比2组患者年龄、美国创伤外科协会（AAST）分级、损伤严重程度评分（ISS）、入院时前白蛋白水平、入院时活化部分凝血活酶时间、有无休克等个体资料及术式、入院至手术时间、住院时间、术后卧床时间等围术期临床指标，分析组间差异；采用单因素分析与

Logistic

回归分析筛选术后早期感染的独立危险因素，并构建列线图预测模型。

结果

67例患者均治疗成功，术后早期感染发生率为22.388%（15/67），占总并发症的88.235%（15/17），其中以肺部感染最为常见（12例）。2组患者年龄、受伤机制、ISS、AAST分级、入院时前白蛋白水平、入院时活化部分凝血活酶时间、入院至手术时间及住院时间比较，差异有统计学意义（

0.05）。单因素

Logistic

回归分析显示，年龄（

=1.054，95%

:1.008~1.102，

=0.022）、ISS（

=1.171，95%

:1.049~1.308，

=0.005）及入院时前白蛋白水平（

=0.986，95%

:0.975~0.997，

=0.016）为术后早期感染的危险因素。多因素

Logistic

回归分析显示，ISS较高（

=1.159，95%

:1.032~1.303，

=0.013）及入院时前白蛋白水平较低（

=0.987，95%

:0.975~0.999，

=0.036）为术后早期感染的独立危险因素。

结论

感染是钝性脾损伤术后最主要的早期并发症，ISS较高及入院时前白蛋白水平较低是术后早期感染的独立危险因素，基于此构建的列线图模型有助于早期识别高危患者并及时采取干预措施。

Abstract

Objective

To analyze the risk factors for early postoperative infection in patients with blunt splenic injury， and construct a nomogram prediction model.

Methods

A retrospective analysis was conducted on the clinical data of 67 patients with blunt splenic injury admitted to our hospital from February 2022 to May 2025.Patients were divided into the infection group （15 cases） and the non-infection group （52 cases） according to the presence of postoperative infection.General data including age， American Association for the Surgery of Trauma （AAST） grade，injury severity score （ISS）， prealbumin level at admission， activated partial thromboplastin time at admission and presence of shock， as well as perioperative indicators including surgical method， interval from admission to operation， hospital stay and postoperative bed rest time were

compared between the two groups. Univariate analysis and

Logistic

regression analysis were used to identify independent risk factors for early postoperative infection， and a nomogram prediction model was constructed accordingly.

Results

All 67 patients achieved successful treatment. The incidence of early postoperative infection was 22.388% （15/67）， accounting for 88.235% （15/17） of all complications， among which pulmonary infection was the most common （12 cases）. There were statistically significant differences in the age， mechanism of injury， ISS， AAST grade， prealbumin level at admission， activated partial thromboplastin time at admission， interval from admission to operation and hospital stay between the two groups （

0.05）. Univariate

Logistic

regression analysis indicated that the age （

=1.054， 95%

：1.008 to 1.102，

=0.022）， ISS （

=1.171， 95%

：1.049 to 1.308，

=0.005） and prealbumin level at admission （

=0.986， 95%

： 0.975 to 0.997，

=0.016） were risk factors for early postoperative infection. Multivariate

Logistic

regression analysis revealed that high ISS （

=1.159， 95%

： 1.032 to 1.303，

=0.013） and low prealbumin level at admission（

=0.987， 95%

： 0.975 to 0.999，

=0.036） were independent risk factors for early postoperative infection.

Conclusion

Infection is the predominant early complication after surgery for blunt splenic injury. High ISS and low prealbumin level at admission are independent risk factors for early postoperative infection. The nomogram model constructed based on these factors facilitates early identification of high‑risk patients and enables timely intervention.

关键词

Keywords

references

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