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Changes in the epidemiology and prediction of multiple-organ failure after injury

机译:伤后流行病学变化和多器官功能衰竭的预测

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Background: The epidemiology of multiple-organ failure (MOF) after injury has been changing, questioning the validity of previously described prediction models. This study aimed to describe the current epidemiology of MOF. The secondary aim was development of a prediction model that could be used for early identification of patients at risk of MOF. Methods: A 60-month prospective epidemiologic study was undertaken at an Australian Level I trauma center. Data were collected on trauma patients that met inclusion criteria (intensive care unit [ICU] admission; Injury Severity Score [ISS] 15; age 18 years, head Abbreviated Injury Scale [AIS] score 3; and survival for 48 hours). Demographics, injury severity (ISS), physiologic parameters, MOF status based on the Denver score, and outcome data were prospectively collected. Univariate analysis and multivariate logistic modeling were performed; p 0.05 was considered significant. Data are presented as percentage or mean (SD). Results: A total of 140 patients met the inclusion criteria (age, 47 [21] years; ISS, 30 [11]; male, 69%), 21 patients (15%) developed MOF, and MOF associated mortality was 24% versus non-MOF mortality rate of 3%. Patients who developed MOF had longer ICU stays (19 [7] vs. 7 [5], p 0.01) and had more ventilator days (18 [9] vs. 4 [4], p 0.01). Prediction models were generated at two time points as follows: admission and 24 hours after injury. At admission, age (65 years) and admission platelet count (150 ?? 109/L) were significant predictors of MOF; at 24 hours after injury, MOF was predicted by age more than 65 years, admission platelet count less than 150 ?? 109/L, maximum creatinine of greater than 150 ?? 10 9/L and minimum bilirubin of greater than 10 ?? 10 9/L. Shock parameters and injury severity did not predict MOF. Conclusion: The incidence of MOF (15%) is lower than reported 15 years ago; MOF remains a major cause of ICU resource use and late mortality after injury. The independent predictors of MOF have fundamentally changed, likely owing to improvements in resuscitation and critical care. Current predictors are universally available at admission and 24 hours.
机译:背景:受伤后多器官功能衰竭(MOF)的流行病学正在发生变化,这对先前描述的预测模型的有效性提出了质疑。这项研究旨在描述MOF的当前流行病学。第二个目的是开发一种预测模型,该模型可用于早期识别有MOF风险的患者。方法:在澳大利亚一级创伤中心进行了为期60个月的前瞻性流行病学研究。收集符合入组标准的创伤患者的数据(重症监护病房[ICU]入院;损伤严重度评分[ISS]> 15;年龄> 18岁,头部缩写损伤量表[AIS]评分<3;存活时间> 48小时)。前瞻性地收集了人口统计学,损伤严重程度(ISS),生理参数,基于丹佛评分的MOF状态以及结果数据。进行单因素分析和多元逻辑建模; p <0.05被认为是显着的。数据以百分比或平均值(SD)表示。结果:共有140例患者符合纳入标准(年龄47岁[21]; ISS年龄30 [11];男性69%),其中21例患者(15%)发展为MOF,与MOF相关的死亡率为24%非MOF死亡率为3%。发生MOF的患者的ICU停留时间更长(19 [7]比7 [5],p <0.01),呼吸机天数更多(18 [9] vs. 4 [4],p <0.01)。在两个时间点生成预测模型,如下所示:入院和受伤后24小时。入院时,年龄(> 65岁)和入院血小板计数(<150 ?? 109 / L)是MOF的重要预测指标;受伤后24小时,按年龄预测65岁以上为MOF,入院血小板计数低于150? 109 / L,最大肌酐大于150 ?? 10 9 / L,最小胆红素大于10 ?? 10 9 /升。休克参数和损伤严重程度不能预测MOF。结论:MOF的发生率(15%)低于15年前的报告; MOF仍然是ICU资源使用和受伤后晚期死亡的主要原因。 MOF的独立预测因素发生了根本变化,这可能是由于复苏和重症监护的改善。目前的预测因子在入院时和24小时内普遍可用。

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