早期乳酸清除率预测儿科重症监护病房脓毒症患者的住院死亡率

IF 0.4 Q4 BIOLOGY Advances in Human Biology Pub Date : 2023-04-01 DOI:10.4103/aihb.aihb_127_21
Janani Dinakaran, S. Yadav, Saurabh V. Patel
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引用次数: 0

摘要

导读:印度picu中败血症的死亡率正在上升。本研究旨在探讨入院时乳酸水平和乳酸清除率对脓毒症死亡率的预测价值,并估计其预测死亡率的临界值。本研究还旨在评估乳酸清除率与PRISM III评分(儿科死亡风险评分)和住院时间之间的相关性。材料和方法:这是一项前瞻性研究,纳入了150例在儿科重症监护室因严重炎症反应综合征(severe inflammatory response syndrome)而可能感染的患者,并对入院后0-3小时、24小时和48小时的血液乳酸水平进行了估计。计算乳酸清除率,随访至出院/死亡。结果:150例患者中,存活94例,未存活56例;非幸存者24小时的平均乳酸清除率为6.16%,低于幸存者的28.41%。乳酸清除率预测死亡率的临界值估计为17.6%。PRISM III评分与乳酸清除率呈负相关。在低乳酸清除率的非幸存者中,重症监护病房的停留时间更长。结论:乳酸清除率可作为脓毒症患者死亡率的预后指标,并可作为治疗的指导。
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Early lactate clearance in predicting in-hospital mortality in patients with sepsis admitted in the paediatric intensive care unit
Introduction: Mortality due to sepsis is increasing in the PICUs of India. This study was conducted with the aim to investigate the prognostic value of lactate level at the time of admission and lactate clearance for mortality in sepsis and estimate its cut-off value of predicting mortality. This study also aimed to estimate the correlation between lactate clearance with PRISM III score (Pediatric Risk of Mortality score) and duration of stay. Materials and Methods: This was a prospective study on 150 patients admitted with severe inflammatory response syndrome with a probable infection in the paediatric intensive care unit with an estimation of serial lactate levels in the blood at 0–3 h, 24 h and 48 h of admission. Lactate clearance was calculated, and patients were followed up till discharge/death. Results: Out of 150 patients, there were 94 survivors and 56 non-survivors; the mean lactate clearance at 24 h was 6.16% in non-survivors, which was lower than survivors at 28.41%. The cut-off value of lactate clearance for predicting mortality was estimated to be 17.6%. PRISM III score and lactate clearance were inversely related. The duration of intensive care unit stay was more in non-survivors with low lactate clearance. Conclusion: Lactate clearance can be used as a prognostic measure for mortality in patients with sepsis and can be used as a guide for treatment.
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