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Body temperature patterns as a predictor of hospital-acquired sepsis in afebrile adult intensive care unit patients: a case-control study

机译:体温模式可作为发热性成人重症监护病房患者医院获得性败血症的预测指标:一项病例对照研究

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IntroductionEarly treatment of sepsis improves survival, but early diagnosis of hospital-acquired sepsis, especially in critically ill patients, is challenging. Evidence suggests that subtle changes in body temperature patterns may be an early indicator of sepsis, but data is limited. The aim of this study was to examine whether abnormal body temperature patterns, as identified by visual examination, could predict the subsequent diagnosis of sepsis in afebrile critically ill patients.MethodsRetrospective case-control study of 32 septic and 29 non-septic patients in an adult medical and surgical ICU. Temperature curves for the period starting 72 hours and ending 8 hours prior to the clinical suspicion of sepsis (for septic patients) and for the 72-hour period prior to discharge from the ICU (for non-septic patients) were rated as normal or abnormal by seven blinded physicians. Multivariable logistic regression was used to compare groups in regard to maximum temperature, minimum temperature, greatest change in temperature in any 24-hour period, and whether the majority of evaluators rated the curve to be abnormal.ResultsBaseline characteristics of the groups were similar except the septic group had more trauma patients (31.3% vs. 6.9%, p = .02) and more patients requiring mechanical ventilation (75.0% vs. 41.4%, p = .008). Multivariable logistic regression to control for baseline differences demonstrated that septic patients had significantly larger temperature deviations in any 24-hour period compared to control patients (1.5°C vs. 1.1°C, p = .02). An abnormal temperature pattern was noted by a majority of the evaluators in 22 (68.8%) septic patients and 7 (24.1%) control patients (adjusted OR 4.43, p = .017). This resulted in a sensitivity of 0.69 (95% CI [confidence interval] 0.50, 0.83) and specificity of 0.76 (95% CI 0.56, 0.89) of abnormal temperature curves to predict sepsis. The median time from the temperature plot to the first culture was 9.40 hours (IQR [inter-quartile range] 8.00, 18.20) and to the first dose of antibiotics was 16.90 hours (IQR 8.35, 34.20).ConclusionsAbnormal body temperature curves were predictive of the diagnosis of sepsis in afebrile critically ill patients. Analysis of temperature patterns, rather than absolute values, may facilitate decreased time to antimicrobial therapy.
机译:简介脓毒症的早期治疗可提高生存率,但医院获得性败血症的早期诊断(尤其是危重患者)具有挑战性。有证据表明,体温模式的细微变化可能是败血症的早期指标,但数据有限。这项研究的目的是检查通过肉眼检查确定的异常体温模式是否可以预测发热性重症患者败血症的诊断。方法:对成人32例败血症和29例非败血症患者进行回顾性病例对照研究。医疗和外科ICU。临床败血症开始前72小时至败血症8小时(对于败血症患者)和从ICU出院前72小时(非败血症患者)的温度曲线被评定为正常或异常由七位盲人医师组成。使用多变量logistic回归比较各组的最高温度,最低温度,在任何24小时内温度的最大变化以及大多数评估者是否将该曲线评定为异常。结果各组的基线特征相似,除了脓毒症组有更多的创伤患者(31.3%比6.9%,p = .02)和需要机械通气的患者更多(75.0%比41.4%,p = .008)。多变量logistic回归以控制基线差异表明,与对照组相比,败血症患者在任何24小时内的温度偏差均显着更大(1.5°C vs. 1.1°C,p = .02)。大多数评估者在22名(68.8%)败血病患者和7名(24.1%)对照患者中发现了异常的温度模式(校正OR 4.43,p = .017)。这导致异常温度曲线预测败血症的敏感性为0.69(95%CI [置信区间] 0.50,0.83),特异性为0.76(95%CI 0.56,0.89)。从温度曲线图到首次培养的中位时间为9.40小时(IQR [四分位数间距] 8.00,18.20),到首次服用抗生素的中位时间为16.90小时(IQR 8.35,34.20)。结论体温曲线异常可预示在高热危重病人中败血症的诊断。温度模式而不是绝对值的分析可能有助于减少抗菌治疗的时间。

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