预测模型系统性炎症反应综合征后皮肤透过利石切除脏结石基于后勤回归的模型
Min Wang1, Zengyue Yang1, Ning He2
1Department of Urinary Surgery, Xi'an International Medical Center Hospital Xi'an 710100, Shaanxi, China.
American journal of translational research
|July 12, 2023
概括
皮肤穿神经切除术 (PCNL) 后的全身炎症反应综合征 (SIRS) 是由包括BMI,糖尿病,高血压,大结石和水等因素预测的. 开发的风险评分有效地识别了患有PCNL后SIRS风险较高的患者.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 腎臟病學 (nephrology) 是一種醫學.
- 外科手术的结果
背景情况:
- 穿皮瘤切除术 (PCNL) 是对结石的常见手术.
- 系统性炎症反应综合征 (SIRS) 是PCNL后的一个潜在并发症.
- 预测SIRS风险对于患者管理和改善结果至关重要.
研究的目的:
- 使用后勤回归来开发PCNL后SIRS的预测模型.
- 确定与PCNL后SIRS发展相关的关键风险因素.
- 评估SIRS预测风险评分的临床实用性.
主要方法:
- 对148名接受PCNL治疗的患者进行了回顾性分析,以单方面结石.
- 后勤回归分析以确定术后SIRS的危险因素.
- 使用回归系数开发和验证预测风险评分.
主要成果:
- 对SIRS的独立风险因素包括BMI,糖尿病 (DM),高血压,结石大小≥30毫米和水.
- 预测模型表现出高准确度,ROC曲线下的面积为0.898.8.
- 患有SIRS的患者与没有SIRS的患者相比,风险得分明显更高.
结论:
- 较高的BMI (≥25 kg/m2),DM,高血压,大结石 (≥30 mm) 和水是PCNL后SIRS的显著预测因素.
- 确定的风险评分对于在接受PCNL的患者中预测SIRS有价值.
- 这种预测模型可以帮助临床决策和患者监测.
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