Association of surgical risk prediction models with days alive out of hospital at 30 days in colorectal surgeries: a retrospective cohort study.

IF 3.2 3区 医学 Q2 ANESTHESIOLOGY
Müşerref Beril Dinçer, Mert Canbaz, Esra Saka, Özlem Turhan, Demet Altun, Ahmet Kemalettin Koltka
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引用次数: 0

Abstract

Background: Surgical risk prediction models are widely used in perioperative settings to estimate postoperative risk, but their relationship with patient-centered outcomes remains unclear. Days alive out of hospital (DAOH) integrates postoperative complications, readmissions, and mortality into a single outcome. This study evaluated the associations between established surgical risk prediction models and DAOH following colorectal surgery.

Methods: This retrospective cohort study included adult patients undergoing colorectal surgery in 2023. Preoperative risk was assessed using the American College of Surgeons (ACS) Surgical Risk Calculator, POSSUM-morbidity, and P-POSSUM mortality scores. Patient characteristics, surgical variables, postoperative complications, readmissions, and mortality were recorded. DAOH at 30 days (DAOH30) and DAOH at 90 days (DAOH90) were calculated; low DAOH30 was defined as below the cohort median. The primary outcome was to evaluate the associations between risk estimates and DAOH30. Secondary outcome analyses included associations between risk estimates and DAOH90, multivariable logistic regression to identify factors associated with low DAOH30, and receiver operating characteristic analysis with area under the curve (AUC) to assess discriminative performance of risk models for low DAOH30.

Results: A total of 145 patients were analyzed, with a median DAOH30 of 23 (18-24) days. All risk models were negatively correlated with DAOH30 (ACS-any complication: rho = - 0.603; ACS-serious complication: rho = - 0.515; ACS-death: rho = - 0.447; ACS-readmission: rho = - 0.286; POSSUM-morbidity: rho = - 0.419; P-POSSUM-mortality: rho = - 0.396; all p < 0.001), with similar findings for DAOH90. In multivariable regression analysis, higher ACS-serious complication risk (OR: 1.177; 95% CI: 1.057-1.310; p = 0.003), higher ACS-any complication risk (OR: 1.172; 95% CI: 1.062-1.293; p = 0.002), and longer operative duration were independently associated with low DAOH30. ACS-serious and ACS-any complication estimates demonstrated good discriminative ability for low DAOH30 (AUC = 0.808 [95% CI: 0.735-0.880] and AUC = 0.828 [95% CI: 0.759-0.897], respectively).

Conclusions: Surgical risk prediction models were significantly associated with postoperative recovery measured by DAOH following colorectal surgery. The ACS Surgical Risk Calculator estimates for serious and any complication demonstrated good discriminative performance for reduced DAOH30, suggesting their potential utility in identifying patients at risk of impaired postoperative recovery.

结直肠手术手术风险预测模型与30天出院天数的关联:一项回顾性队列研究
背景:手术风险预测模型广泛用于围手术期评估术后风险,但其与以患者为中心的预后的关系尚不清楚。院外存活天数(DAOH)将术后并发症、再入院和死亡率整合为一个结果。本研究评估了已建立的手术风险预测模型与结直肠手术后DAOH之间的关系。方法:本回顾性队列研究纳入了2023年接受结直肠手术的成年患者。术前风险评估采用美国外科医师学会(ACS)手术风险计算器、possum -发病率和P-POSSUM死亡率评分。记录患者特征、手术变量、术后并发症、再入院和死亡率。计算30天的DAOH30和90天的DAOH90;低DAOH30被定义为低于队列中位数。主要结局是评估风险估计与DAOH30之间的关系。次要结局分析包括风险估计与DAOH90之间的关联、多变量logistic回归以确定与低DAOH30相关的因素,以及使用曲线下面积(AUC)的受试者操作特征分析以评估低DAOH30风险模型的判别性能。结果:共分析145例患者,中位DAOH30为23(18-24)天。所有风险模型均与DAOH30呈负相关(acs -任何并发症:rho = - 0.603; acs -严重并发症:rho = - 0.515; acs -死亡:rho = - 0.447; acs -再入院:rho = - 0.286; possum -发病率:rho = - 0.419; p - possum -死亡率:rho = - 0.396;均p)结论:手术风险预测模型与结肠直肠癌术后DAOH测量的术后恢复显著相关。ACS手术风险计算器对严重并发症和任何并发症的估计在降低DAOH30方面表现出良好的判别性能,这表明它们在识别有术后恢复受损风险的患者方面具有潜在的实用性。
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来源期刊
BMC Anesthesiology
BMC Anesthesiology ANESTHESIOLOGY-
CiteScore
3.50
自引率
4.50%
发文量
349
审稿时长
>12 weeks
期刊介绍: BMC Anesthesiology is an open access, peer-reviewed journal that considers articles on all aspects of anesthesiology, critical care, perioperative care and pain management, including clinical and experimental research into anesthetic mechanisms, administration and efficacy, technology and monitoring, and associated economic issues.
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