Risk Scores for Myocardial Infarction and Major Adverse Cardiac Event following Major Amputation for Limb Ischemia with Internal VQI Validation.

IF 3.6 2区 医学 Q1 PERIPHERAL VASCULAR DISEASE
Lily Darman, Nabeeha Khan, Amy Liu, Karen Yuan, Trissa Babrowski, Matthew Blecha
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引用次数: 0

Abstract

Objective: Numerous cardiac risk evaluation models exist for patients undergoing major vascular surgical interventions. These models, however, do not consider patients undergoing major amputation for limb ischemia. The purpose of this study is to create risk scores for myocardial infarction and composite adverse cardiac events following major amputation performed for limb ischemia.

Methods: The first step was univariable analysis for the outcomes of perioperative MI and MACE for patients undergoing non-emergent major amputation for limb ischemia (primary risk score study group N=10,260, validation group N=5130). Univariable analysis was conducted with Chi-squared testing for categorical variables and student t-test for comparison of means of ordinal variables. Next, binary logistic regression analysis was performed for the outcomes of perioperative MI and MACE utilizing variables which had achieved a univariable P value ≤ 0.1. Using this regression, it was determined which variables have a multivariable association for the outcomes as defined by a multivariable regression P value of ≤ .05. Weighted cumulative event scores were then created for the outcomes of perioperative MI and MACE. Variables with a multivariable P-value ≤ .05 on the regression analysis were included in the scores and weighted based on their respective regression beta-coefficient in a point scale. AUC analysis and Hosmer-Lemeshow goodness of fit was also conducted for the validation cohort using the same risk score variables and scoring system as the primary study group. Supplementary machine learning analysis was performed to reinforce variable importance.

Results: Variables with a significant (P<.05) multivariable association and meeting inclusion or the MACE risk score included : advancing age (aOR 1.02/unit time; P<.001); female sex (aOR 1.28, P=.01); asymptomatic CAD (aOR 1.36, P=.009); symptomatic CAD (aOR 1.28, P=.049); CABG greater than 5 years ago (aOR 1.37, P=.014); class II CHF (aOR 1.30, P=.05); class III CHF (aOR 1.75, P=.002); Class IV CHF (aOR 5.26, P<.001); COPD (aOR 1.29, P=.012); ESRD (aOR 2.20, P<.001); and renal insufficiency (aOR 1.76, P<.001). Regarding the risk score for MACE following major amputation for limb ischemia, patients with risk scores ≤ 1 experienced MACE in just 2.6% of cases. The MACE rate rose in an exponential fashion with rising risk score with rates of 26.9% for patients with scores 16 and higher indicating a tenfold increased risk. In MI analysis, the following variables achieved a multivariable p-value ≤ and were thus ultimately included in the risk score for MI : advancing age (aOR 1.02/unit time, P=.007); asymptomatic CAD (aOR 1.52, P=.022); symptomatic CAD (aOR 1.56, P=.038); history of CABG greater than 5 years ago (aOR 1.51, P=.029); Class III CHF (aOR 1.84, P=.019); Class IV CHF (aOR 3.07, P=.002); ESRD on dialysis (aOR 1.95, P<.001); renal insufficiency (aOR 1.95, P<.001); and not being on an antiplatelet preoperative (protective aOR 0.65, P=.007). Regarding the risk score for MI, patients with risk scores of ≤ 0 had MI rates of just 0.5% with steep escalation noted with advancing risk score as patients with risk scores of 10 and higher had MI rates of 6.0% indicating a 12-fold higher risk of MI. Risk score AUC values were 0.7 and 0.71 respectively. Patients with MACE and MI perioperatively had survival rates as low as 42% by the two-year mark versus 67%-69% in those without (P<.001). Machine learning confirmed the importance of the key variables and achieved AUC values ranging from 0.77 to 0.94.

Conclusions: Risk scores for perioperative MI and MACE during hospitalization for major amputation due to limb ischemia have been created with accurate internal validation. The data has the potential to impact preoperative and perioperative patient management to reduce adverse event rates. The most impactful variables increasing risk of MI and MACE are advancing age, history of class III or IV CHF, history of CAD, CABG over 5 years ago, renal insufficiency and ESRD.

肢体缺血大截肢后心肌梗死和主要不良心脏事件的风险评分与内部VQI验证。
目的:对于接受大血管手术的患者,存在多种心脏风险评估模型。然而,这些模型没有考虑因肢体缺血而进行大截肢的患者。本研究的目的是建立心肌梗死和复合不良心脏事件的风险评分后,肢体缺血截肢。方法:第一步对因肢体缺血而行非紧急大截肢患者围手术期心肌梗死和MACE结果进行单变量分析(主要危险评分研究组N=10,260,验证组N=5130)。单变量分析对分类变量采用卡方检验,对有序变量的均数比较采用学生t检验。然后,利用单变量P值≤0.1的变量对围手术期心肌梗死和MACE结果进行二元logistic回归分析。使用此回归,确定哪些变量与多变量回归P值≤0.05定义的结果具有多变量关联。然后对围手术期心肌梗死和MACE的结果进行加权累积事件评分。回归分析的多变量p值≤0.05的变量纳入得分,并根据其各自的回归β系数在点量表中加权。采用与主要研究组相同的风险评分变量和评分系统对验证队列进行AUC分析和Hosmer-Lemeshow拟合优度分析。进行补充机器学习分析以加强变量的重要性。结论:建立了肢体缺血大截肢患者住院期间围手术期心肌梗死和MACE的风险评分,并进行了准确的内部验证。这些数据有可能影响术前和围手术期患者管理,以减少不良事件发生率。增加MI和MACE风险的最具影响力的变量是年龄增长、III或IV级CHF病史、CAD病史、5年前的CABG、肾功能不全和ESRD。
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来源期刊
CiteScore
7.70
自引率
18.60%
发文量
1469
审稿时长
54 days
期刊介绍: Journal of Vascular Surgery ® aims to be the premier international journal of medical, endovascular and surgical care of vascular diseases. It is dedicated to the science and art of vascular surgery and aims to improve the management of patients with vascular diseases by publishing relevant papers that report important medical advances, test new hypotheses, and address current controversies. To acheive this goal, the Journal will publish original clinical and laboratory studies, and reports and papers that comment on the social, economic, ethical, legal, and political factors, which relate to these aims. As the official publication of The Society for Vascular Surgery, the Journal will publish, after peer review, selected papers presented at the annual meeting of this organization and affiliated vascular societies, as well as original articles from members and non-members.
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