Pulmonary and Critical Care Division, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Crit Care Med. 2011 Feb;39(2):322-7. doi: 10.1097/CCM.0b013e3182037a8e.
In an effort to improve upon the traditional sepsis syndrome definitions, the predisposition, infection, response, organ dysfunction (PIRO) model was proposed to better characterize sepsis. The objective of this investigation was to derive and validate a sepsis staging system based on the PIRO concept that risk stratifies patients with suspected infection.
Three independent, observational, prospective cohorts were studied. A derivation cohort (n = 2,132) was used to create the PIRO score, identifying independent predictors of mortality. Individual values were assigned to create the weighted integer score for each parameter, yielding the final PIRO score. The prognostic performance was then investigated in independent internal (n = 4,618) and external (n = 1,004) validation cohorts.
Two large U.S. tertiary care centers.
Patients admitted to the hospital from the emergency department with suspected infection.
None.
The PIRO staging system was created by combining components of predisposition (age, chronic obstructive pulmonary disease, liver disease, nursing home residency, and malignancy with and without metastasis), infection (pneumonia and cellulitis), response (tachypnea, bandemia, and tachycardia), and organ dysfunction (renal, respiratory, cardiac, metabolic, and hematologic). The derived PIRO score showed stepwise increase in mortality with increasing points and high discriminatory ability with an area under the curve of 0.90 in the derivation cohort, 0.86 in internal validation, and 0.83 in external validation.
This study provides evidence-based support for the PIRO approach to sepsis staging. Future efforts may utilize this approach with additional parameters (e.g., genetics and novel biochemical markers) to develop further the PIRO stratification system.
为了改进传统的脓毒症综合征定义,提出了易感性、感染、反应、器官功能障碍(PIRO)模型,以更好地描述脓毒症。本研究的目的是基于 PIRO 概念建立一个脓毒症分期系统,对疑似感染的患者进行风险分层。
研究了三个独立的、观察性的、前瞻性队列。一个衍生队列(n=2132)用于创建 PIRO 评分,确定死亡率的独立预测因素。为每个参数分配个体值以创建加权整数评分,从而得到最终的 PIRO 评分。然后在独立的内部(n=4618)和外部(n=1004)验证队列中研究其预后性能。
美国两个大型三级护理中心。
从急诊科住院的疑似感染患者。
无。
PIRO 分期系统是通过合并易感性(年龄、慢性阻塞性肺疾病、肝病、疗养院居住和恶性肿瘤伴或不伴转移)、感染(肺炎和蜂窝织炎)、反应(呼吸急促、带血和心动过速)和器官功能障碍(肾、呼吸、心脏、代谢和血液)的成分创建的。所得到的 PIRO 评分显示死亡率随分数的增加而逐渐增加,在推导队列中的曲线下面积为 0.90,内部验证为 0.86,外部验证为 0.83,具有较高的判别能力。
本研究为 PIRO 方法进行脓毒症分期提供了循证支持。未来的研究可能会利用这种方法结合其他参数(如遗传学和新型生化标志物)进一步发展 PIRO 分层系统。