Predictive model for post-induction hypotension in patients undergoing transcatheter aortic valve implantation: a retrospective observational study

被引:0
|
作者
Noto, Kohei [1 ]
Uchida, Satoshi [1 ]
Kinoshita, Hirotaka [1 ]
Takekawa, Daiki [1 ]
Kushikata, Tetsuya [1 ]
Hirota, Kazuyoshi [1 ]
机构
[1] Hirosaki Univ, Grad Sch Med, Dept Anesthesiol, Hirosaki 0368562, Japan
来源
JA CLINICAL REPORTS | 2024年 / 10卷 / 01期
关键词
Predict model; Post-induction hypotension; Transcatheter aortic valve implantation; GENERAL-ANESTHESIA; RISK SCORE; INDUCTION; SOCIETY;
D O I
10.1186/s40981-024-00717-0
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
Purpose Post-induction hypotension (PIH) is an independent risk factor for prolonged postoperative stay and hospital death. Patients undergoing transcatheter aortic valve implantation (TAVI) are prone to develop PIH. This study aimed to develop a predictive model for PIH in patients undergoing TAVI. Methods This single-center retrospective observational study included 163 patients who underwent TAVI. PIH was defined as at least one measurement of systolic arterial pressure <90 mmHg or at least one incident of norepinephrine infusion at a rate >6 mu g/min from anesthetic induction until 20 min post-induction. Multivariate logistic regression analysis was performed to develop a predictive model for PIH in patients undergoing TAVI. Results In total, 161 patients were analyzed. The prevalence of PIH was 57.8%. Multivariable logistic regression analysis showed that baseline mean arterial pressure >= 90 mmHg [adjusted odds ratio (aOR): 0.413, 95% confidence interval (95% CI): 0.193-0.887; p=0.023] and higher doses of fentanyl (per 1-mu g/kg increase, aOR: 0.619, 95% CI: 0.418-0.915; p=0.016) and ketamine (per 1-mg/kg increase, aOR: 0.163, 95% CI: 0.062-0.430; p=0.002) for induction were significantly associated with lower risk of PIH. A higher dose of propofol (per 1-mg/kg increase, aOR: 3.240, 95% CI: 1.320-7.920; p=0.010) for induction was significantly associated with higher risk of PIH. The area under the curve (AUC) for this model was 0.802. Conclusion The present study developed predictive models for PIH in patients who underwent TAVI. This model may be helpful for anesthesiologists in preventing PIH in patients undergoing TAVI.
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页数:8
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