Bossink A W, Groeneveld J, Hack C E, Thijs L G
Department of Internal Medicine, Free University Hospital, Amsterdam, The Netherlands.
Chest. 1998 Jun;113(6):1533-41. doi: 10.1378/chest.113.6.1533.
The aim was to evaluate demographic, clinical, and laboratory variables in febrile patients, with or without a microbiologically confirmed infection, for prediction of death, in comparison to the systemic inflammatory response syndrome (SIRS) and its criteria, such as abnormal temperature, tachycardia, tachypnea, and abnormal WBC count, and to sepsis, that includes SIRS and an infection.
A prospective cohort study.
Department of internal medicine at a university hospital.
In 300 consecutive, hospitalized medical patients with new onset of fever, demographic, clinical, and laboratory variables were obtained during the 2 days after inclusion, while microbiological results for a follow-up period of 7 days were collected. Patients were followed up for survival or death, up to a maximum of 28 days after inclusion.
Of all patients, 95% had SIRS, 44% had sepsis with a microbiologically confirmed infection, and 9% died. A model with a set of variables all significantly (p<0.01) contributing to the prediction of mortality was derived. The set included the presence of hospital-acquired fever, the peak respiratory rate, the nadir score on the Glasgow coma scale, and the nadir albumin plasma level within the first 2 days after inclusion. This set of variables predicted mortality for febrile patients with microbiologically confirmed infection even better. The predictive values for mortality of SIRS and sepsis were less than that of our set of variables.
In comparison to SIRS and sepsis, the new set of variables predicted mortality better for all patients with fever and also for those with microbiologically confirmed infection only. This type of effort may help in refining definitions of SIRS and sepsis, based on prognostically important demographic, clinical, and laboratory variables that are easily obtainable at the bedside.
旨在评估发热患者(无论有无微生物学确诊感染)的人口统计学、临床和实验室变量,以预测死亡情况,并与全身炎症反应综合征(SIRS)及其标准(如体温异常、心动过速、呼吸急促和白细胞计数异常)以及脓毒症(包括SIRS和感染)进行比较。
一项前瞻性队列研究。
一所大学医院的内科。
连续纳入300例新发热的住院内科患者,在纳入后的2天内获取其人口统计学、临床和实验室变量,同时收集为期7天的微生物学结果。对患者进行生存或死亡随访,最长随访至纳入后28天。
所有患者中,95%患有SIRS,44%患有微生物学确诊感染的脓毒症,9%死亡。得出了一个由一组均对死亡率预测有显著贡献(p<0.01)的变量组成的模型。该组变量包括医院获得性发热的存在、最高呼吸频率、格拉斯哥昏迷量表的最低评分以及纳入后前2天内的最低血浆白蛋白水平。这组变量对微生物学确诊感染的发热患者的死亡率预测效果更好。SIRS和脓毒症的死亡率预测值低于我们的这组变量。
与SIRS和脓毒症相比,这组新变量对所有发热患者以及仅微生物学确诊感染的患者的死亡率预测效果更好。这种努力可能有助于根据床边易于获得的、对预后有重要意义的人口统计学、临床和实验室变量来完善SIRS和脓毒症的定义。