首页> 外文期刊>Journal of cataract and refractive surgery >Risks factors and regression model for risk calculation of anesthesiologic intervention in topical and intracameral cataract surgery
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Risks factors and regression model for risk calculation of anesthesiologic intervention in topical and intracameral cataract surgery

机译:局部和腔内白内障手术麻醉干预风险计算的风险因素和回归模型

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Purpose: To determine risk factors for anesthesiologist intervention during routine cataract surgery performed with topical and intracameral anesthesia and establish a regression model to identify high-risk patients. Setting: Department of Ophthalmology, Clínica Universidad de Navarra, Pamplona, Spain. Design: Prospective case series. Methods: After cataract surgery at an ambulatory surgical center, anesthesia personnel completed a questionnaire to determine adverse medical events and risk factors related to anesthesiologist intervention. A Poisson regression model was used to calculate the interventional risks. Bootstrapping was performed for internal model validation. Results: Of the 1010 cases, 50 (4.95%) required anesthesiologist intervention. Univariate analysis identified an association between anesthesiologist intervention and hypertension (P<.001), psychiatric history (P=.002), initial systolic blood pressure (P<.001), surgical duration (P=.001), and diabetes (P=.018). Scores were obtained using the following proposed regression model equation: (-8.68 + 0.33 × sex [men, 0; women, 1] + -0.02 × age [years] + 0.68 × hypertensive history [no, 0; yes, 1] + 1.18 × psychiatric background [no, 0; yes, 1] + 0.04 × initial systolic blood pressure [mm Hg]). The area under the receiver-operating curve was 0.803 (95% confidence interval [CI], 0.721-0.886). The area under the curve found in the validation method was 0.813 (95% CI, 0.727-0.887). Conclusion: Hypertension was the main risk factor for anesthesiologist intervention. The regression model discriminated between patients at lower and higher risk for intraoperative intervention for monitored anesthesia care. The probability of anesthesiologist intervention was 11.7 times higher when the model obtained a high score. Financial Disclosure: No author has a financial or proprietary interest in any material or method mentioned.
机译:目的:确定在局部和前房内麻醉下进行常规白内障手术期间麻醉医师干预的危险因素,并建立回归模型以识别高危患者。地点:西班牙潘普洛纳的克利尼察大学纳瓦拉大学眼科。设计:预期案例系列。方法:在非卧床手术中心进行白内障手术后,麻醉人员填写了一份调查表,以确定不良医学事件和与麻醉师干预有关的危险因素。使用泊松回归模型来计算介入风险。进行自举以进行内部模型验证。结果:在1010例病例中,有50例(4.95%)需要麻醉师干预。单因素分析确定了麻醉师干预与高血压(P <.001),精神病史(P = .002),初始收缩压(P <.001),手术时间(P = .001)和糖尿病(P)之间的相关性= .018)。使用以下提议的回归模型方程式获得分数:(-8.68 + 0.33×性别[男性,0;女性,1] + -0.02×年龄[年] + 0.68×高血压病史[否,0;是,1] + 1.18×精神病学背景[否,0;是,1] + 0.04×初始收缩压[mm Hg])。接收器工作曲线下方的面积为0.803(95%置信区间[CI],0.721-0.886)。在验证方法中发现的曲线下面积为0.813(95%CI,0.727-0.887)。结论:高血压是麻醉医师干预的主要危险因素。回归模型区分了在术中进行麻醉监测的风险较低和较高的患者。当模型获得高分时,麻醉师干预的可能性高11.7倍。财务披露:没有任何作者对所提及的任何材料或方法有财务或专有利益。

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