...
首页> 外文期刊>International Journal of Pediatrics >Critical Analysis of PIM2 Score Applicability in a Tertiary Care PICU in Western India
【24h】

Critical Analysis of PIM2 Score Applicability in a Tertiary Care PICU in Western India

机译:印度西部三级医疗PICU中PIM2评分适用性的关键分析

获取原文
           

摘要

Objective.Children have limited physiological reserve that deteriorates rapidly. Present study profiled patients admitted to PICU and determined PIM2 score applicability in Indian setting.Patients and Methods.Prospective observational study.Results.In 742 consecutive admissions, male : female ratio was 1.5 : 1, 35.6% patients were ventilated, observed mortality was 7%, and 26.4% were <1 year. The profile included septicemia and septic shock (29.6%), anemia (27.1%), pneumonia (19.6%), and meningitis and encephalitis (17.2%). For the first year, sensitivity of PIM2 was 65.8% and specificity was 71% for cutoff value at 1.9 by ROC curve analysis. The area under the curve was 0.724 (95% CI: 0.69, 0.76). This cutoff was validated for second year data yielding similar sensitivity (70.6%) and specificity (65%). Logistic regression analysis (LRA) over entire data revealed various variables independently associated with mortality along with PIM2 score. Another logistic model with same input variables except PIM2 yielded the same significant variables with NagelkerkeRsquare of 0.388 and correct classification of 78.5 revealing contribution of PIM2 in predicting mortality is meager.Conclusion.Infectious diseases were the commonest cause of PICU admission and mortality. PIM2 scoring did not explain the outcome adequately, suggesting need for recalibration. Following PALS/GEM guidelines was associated with better outcome.
机译:目的:儿童的生理储备有限,会迅速恶化。本研究对印度重症监护病房(PICU)的入院患者进行了分析,并确定了PIM2评分在印度的适用性。 %,而26.4%为<1年。概况包括败血症和败血性休克(29.6%),贫血(27.1%),肺炎(19.6%)以及脑膜炎和脑炎(17.2%)。通过ROC曲线分析,第一年PIM2的敏感性为65.8%,截断值为1.9时的特异性为71%。曲线下的面积为0.724(95%CI:0.69,0.76)。该分界值已通过第二年数据验证,产生了相似的敏感性(70.6%)和特异性(65%)。整个数据的逻辑回归分析(LRA)显示了与死亡率以及PIM2评分独立相关的各种变量。除了PIM2以外,另一个输入变量相同的逻辑模型产生相同的显着变量,NagelkerkeRsquare为0.388,正确分类为78.5,表明PIM2在预测死亡率中的贡献微不足道。结论。传染病是导致PICU入院和死亡的最常见原因。 PIM2评分未能充分解释结果,表明需要重新校准。遵循PALS / GEM指南可带来更好的预后。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号