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1. 丹江口市第一医院普胸外科,湖北 十堰 442700
2. 丹江口市第一医院麻醉科,湖北 十堰 442700
Received:30 June 2022,
Revised:2022-10-10,
Published:30 March 2023
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Feng LI, Xuehu TANG, Bang ZENG, et al. Influencing factors of cardiovascular adverse events risk in elderly patients with esophageal cancer undergoing video-assisted thoracoscopic surgery and nomogram prediction model construction[J]. China Oncology, 2023, 33(3): 282-287.
Feng LI, Xuehu TANG, Bang ZENG, et al. Influencing factors of cardiovascular adverse events risk in elderly patients with esophageal cancer undergoing video-assisted thoracoscopic surgery and nomogram prediction model construction[J]. China Oncology, 2023, 33(3): 282-287. DOI: 10.19401/j.cnki.1007-3639.2023.03.012.
背景与目的:
电视胸腔镜手术中人工气胸的建立可能影响胸内压,使上腔静脉回流受阻,并导致住院期间心血管不良反应发生风险升高
;而老年食管癌患者因机能状态显著下降,在围手术期更易发生心血管不良反应,严重影响康复进程。本研究通过探讨行电视胸腔镜辅助手术的老年食管癌患者心血管不良反应发生风险的影响因素,并构建列线图模型,旨在为后续心血管不良反应预防及临床早期干预提供更多参考。
方法:
回顾性纳入2015年1月—2020年10月丹江口市第一医院收治的行电视胸腔镜辅助手术的老年食管癌患者共546例,根据围手术期是否发生心血管不良反应分组,分析相关临床资料,采用logistic回归模型评价患者心血管不良反应发生的独立影响因素,基于上述因素构建列线图预测模型,描绘受试者工作特征(receiver operating characteristic,ROC)曲线评价模型的预测效能。
结果:
546例患者中围手术期心血管不良反应共发生84例(15.38%)。单因素分析结果显示,美国麻醉医师协会(American Society of Anesthesiologists,ASA)分级、临床危险因素数量、血流动力学变化水平、气道压水平及中心静脉压(central venous pressure,CVP)水平均与患者心血管不良反应发生有关(
P
<
0.05);多因素分析结果显示,ASA分级、临床危险因素数量、血流动力学变化水平及CVP水平均是患者心血管不良反应发生的独立影响因素(
P
<
0.05)。根据多因素分析证实心血管不良反应发生风险的独立影响因素构建列线图预测模型,描绘ROC曲线评价上述列线图模型用于患者心血管不良反应发生风险预测的曲线下面积(area under curve,AUC)为0.88(95% CI:0.81~0.97),灵敏度和特异度分别为87.26%和91.60%。
结论:
行电视胸腔镜辅助手术的老年食管癌患者多种因素与其心血管不良反应发生独立相关,其中ASA分级
>
Ⅲ级、临床危险因素数量
>
3个、血流动力学变化水平≥30%基础值、气道压水平
>
30 cm H
2
O及CVP水平
>
20 cm H
2
O人群发生风险更高;基于上述因素构建列线图模型具有良好的预测效能,可指导临床干预方案的制定。
Background and purpose:
The establishment of artificial pneumothorax during video-assisted thoracoscopic surgery may affect the intrathoracic pressure
cause the obstruction of superior vena cava reflux
and lead to the increased risk of adverse cardiovascular events during hospitalization. However
elderly patients with esophageal cancer are more likely to have adverse cardiovascular events during the perioperative period due to the significant decline in functional status
which seriously affects the rehabilitation process. This study aimed to investigate the influencing factors of cardiovascular adverse events risk in elderly patients with esophageal cancer undergoing video-assisted thoracoscopic surgery and construct nomograph model to guide the formulation of clinical intervention plan.
Methods:
Five hundred and forty-six elderly patients with esophageal cancer undergoing video-assisted thoracoscopic surgery who were trea
ted in The First Hospital of Danjiangkou City were retrospectively chosen in the period from January 2015 to October 2020. All patients were grouped according to the occurrence of cardiovascular adverse events in perioperative period
the related clinical data were analyzed
and the independent influencing factors of cardiovascular adverse events were evaluated by logistic regression model. Based on the above factors
the nomogram prediction model was constructed and receiver operating characteristic (ROC) curve was drawn to evaluate the prediction efficiency of nomogram model.
Results:
Eighty-four cases (15.38%) had perioperative cardiovascular adverse events in all 546 patients. Univariate analysis showed that American Society of Anesthesiologists (ASA) grade
the number of clinical risk factors
the level of hemodynamic changes
the level of airway pressure and the level of central venous pressure (CVP) were all related to the occurrence of cardiovascular adverse events (
P
<
0.05). Multivariate analysis showed that ASA classification
the number of clinical risk factors
the level of hemodynamic changes and CVP were the independent influencing factors of cardiovascular adverse events (
P
<
0.05). The nomogram prediction model was constructed according to the independent influencing factors of cardiovascular adverse event risk confirmed by multivariate analysis. The area under curve (AUC) of above nomogram model for predicting the risk of cardiovascular adverse events was 0.88 (95% CI: 0.81-0.97)
and the sensitivity and specificity were 87.26% and 91.60% respectively.
Conclusion:
The incidence of cardiovascular adverse events in elderly patients with esophageal cancer undergoing video-assisted thoracoscopic surgery is independently related to many factors
of which ASA grade
>
Ⅲ
number of clinical risk factors
>
3
hemodynamic change level ≥30%
airway pressure level
>
30 cm H
2
O and CVP level
>
20 cm H
2
O have higher ris
k. The nomogram model based on the above factors has good prediction efficiency and may guide the formulation of clinical intervention programs.
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