Harvard School of Public Health, Boston, MA 02115, USA.
Eur Respir J. 2011 Feb;37(2):384-92. doi: 10.1183/09031936.00035610. Epub 2010 Jul 1.
The prognostic value of procalcitonin (PCT) levels to predict mortality and other adverse events in community-acquired pneumonia (CAP) remains undefined. We assessed the performance of PCT overall, stratified into four predefined procalcitonin tiers (< 0.1, 0.1-0.25, > 0.25-0.5, >0.5 μg·L⁻¹) and stratified by Pneumonia Severity Index (PSI) and CURB-65 (confusion, urea >7 mmol·L⁻¹, respiratory frequency ≥ 30 breaths·min⁻¹, systolic blood pressure < 90 mmHg or diastolic blood pressure ≤ 60 mmHg, and age ≥ 65 yrs) risk classes to predict all-cause mortality and adverse events within 30 days follow-up in 925 CAP patients. In receiver operating characteristic curves, initial PCT levels performed only moderately for mortality prediction (area under the curve (AUC) 0.60) and did not improve clinical risk scores. Follow-up measurements on days 3, 5 and 7 showed better prognostic performance (AUCs 0.61, 0.68 and 0.73). For prediction of adverse events, the AUC was 0.66 and PCT significantly improved the PSI (from 0.67 to 0.71) and the CURB-65 (from 0.64 to 0.70). In Kaplan-Meier curves, PCT tiers significantly separated patients within PSI and CURB-65 risk classes for adverse events prediction, but not for mortality. Reclassification analysis confirmed the added value of PCT for adverse event prediction, but not mortality. Initial PCT levels provide only moderate prognostic information concerning mortality risk and did not improve clinical risk scores. However, PCT was helpful during follow-up and for prediction of adverse events and, thereby, improved the PSI and CURB65 scores.
降钙素原 (PCT) 水平对预测社区获得性肺炎 (CAP) 死亡率和其他不良事件的预后价值仍未确定。我们评估了 PCT 的整体表现,分为四个预先定义的 PCT 层(<0.1、0.1-0.25、>0.25-0.5、>0.5μg·L⁻¹),并按肺炎严重指数 (PSI) 和 CURB-65(意识障碍、尿素>7mmol·L⁻¹、呼吸频率≥30 次·min⁻¹、收缩压<90mmHg 或舒张压≤60mmHg、年龄≥65 岁)风险分层,预测 925 例 CAP 患者 30 天随访期间的全因死亡率和不良事件。在受试者工作特征曲线中,初始 PCT 水平对死亡率的预测仅表现中等(曲线下面积(AUC)为 0.60),且不能改善临床风险评分。第 3、5 和 7 天的随访测量显示出更好的预后性能(AUC 分别为 0.61、0.68 和 0.73)。对于不良事件的预测,AUC 为 0.66,且 PCT 显著改善了 PSI(从 0.67 到 0.71)和 CURB-65(从 0.64 到 0.70)。在 Kaplan-Meier 曲线中,PCT 分层在 PSI 和 CURB-65 风险分层中显著分离了不良事件预测的患者,但对死亡率则不然。再分类分析证实了 PCT 对不良事件预测的附加价值,但对死亡率则不然。初始 PCT 水平仅提供了与死亡率风险相关的中等预后信息,且不能改善临床风险评分。然而,PCT 在随访期间对不良事件的预测有帮助,从而改善了 PSI 和 CURB65 评分。