儿童早期预警信号评分在预测郊区三级医院PICU入院结果中的应用

IF 0.5 Q4 PEDIATRICS Journal of Pediatric Intensive Care Pub Date : 2022-09-30 DOI:10.1055/s-0042-1759730
Deepika Agarwal, S. Alam, R. Mazahir, R. Singh, B. Maini
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引用次数: 0

摘要

病情严重程度评估在重症监护病房的护理质量评估、预后评估和适当的咨询中非常重要。该研究的目的是观察儿科早期预警信号(PEWS)评分对儿科重症监护病房患者预后的预测效果。这项前瞻性横断面研究包括18岁以下的儿童。PEWS在提交时计算。结果分析为死亡率(主要结果)、机械通气需求、肌力支持和住院时间(LOS)。计算并比较各结果组的中位数得分。评估了PEWS的校准和判别性能,并确定了最佳截止点。该研究纳入237例患者,中位评分为6(范围4-9)。22例(9.3%)患者需要呼吸机支持,66例(26.6%)患者需要肌力支持。总死亡率为5.1%,其中16.4%的患者LOS延长(>4天)。死亡患者的中位评分显著高于死亡患者(8.5比6;P = 0.001),需要呼吸机支持(8 vs. 6;P = 0.001),肌力支持(7 vs. 6;p = 0.030),延长的LOS (7 vs. 6;P = 0.001)。校正后,PEWS可以很好地预测死亡率、呼吸机支持需求、肌力支持和延长的LOS。PEWS模型的受试者工作特征曲线下,死亡率曲线下面积为0.966,呼吸机支持曲线下面积为0.951,肌力支持曲线下面积为0.626,延长LOS曲线下面积为0.760。发现截断值> 7是预测结果的最佳值。PEWS是一个强大的工具,可以根据临床参数轻松预测患者的预后。
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Utility of Pediatric Early Warning Sign Score in Predicting Outcome of PICU Admissions at a Suburban Tertiary Care Hospital
Abstract Assessment of the severity of illness is very important in intensive care unit care for quality assessment, assessing prognosis, and proper counseling. The goal of the study was to see how well the Pediatric Early Warning Sign (PEWS) score predicted the outcome of pediatric intensive care unit patients. This prospective cross-sectional study included children younger than 18 years. PEWS was calculated at presentation. The outcomes analyzed were mortality (primary outcome), need for mechanical ventilation, inotropic support, and length of stay (LOS). A median score was calculated and compared across the outcome groups. The performance of the PEWS was assessed for calibration and discrimination, and the best cutoff was determined. This study included 237 patients with a median score of 6 (range 4–9). Twenty-two (9.3%) patients required ventilator support and 66 (26.6%) inotropic support. The overall mortality rate was 5.1%, and 16.4% had prolonged LOS (>4 days). The median score of patients was significantly higher among those who died (8.5 vs. 6; p  = 0.001), required ventilator support (8 vs. 6; p  = 0.001), inotropic support (7 vs. 6; p  = 0.030), and prolonged LOS (7 vs. 6; p  = 0.001). On calibration, PEWS was found to have a good fit to predict mortality, the need for ventilator support, inotropic support, and prolonged LOS. Receiver operating characteristic curves for the PEWS model yield an area under the curve of 0.966 for mortality, 0.951 for ventilator support, 0.626 for inotropic support, and 0.760 for prolonged LOS. A cutoff value of > 7 was found to be the best to predict the outcome. PEWS is a robust tool to easily prognosticate the patient on the basis of clinical parameters.
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