Department of Pulmonary and Critical Care Medicine, Shenzhen Hospital, Peking University, Shenzhen, Guangdong, P.R. China.
Department of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, P.R. China.
Ann Med. 2023 Dec;55(1):2202414. doi: 10.1080/07853890.2023.2202414.
The assessment of severity is crucial in the management of community-acquired pneumonia (CAP). It remains unknown whether updating cut-off values of severity scoring systems orchestrate improvement in predictive accuracy. 3,212 patients with CAP were recruited to two observational prospective cohort studies. Three bettered scoring systems were derived from the corresponding well-established and extensively used pneumonia-specific severity scoring systems, i.e. pneumonia severity index, minor criteria and CURB-65 (confusion, urea >7 mmol/L, respiratory rate ≥30/min, low blood pressure, and age ≥65 years) score, with the updating cut-off values for tachypnea and low blood pressure. Cronbach α was employed to determine construct validity. Discrimination was valued by calculating the area under the receiver operating characteristic curve (AUROC) and net reclassification improvement (NRI). Respiratory rate ≥22/min and systolic blood pressure ≤100 mm Hg were performed better than respiratory rate ≥30/min and hypotension for predicting mortality in the derivation cohort, respectively (AUROC, 0.823 vs 0.519, 0.688 vs 0.622; NRI, 0.61, 0.13). Bettered scoring systems orchestrated higher convergences, indicated by greater Cronbach α and more decrease in Cronbach α if the updating cut-off values were deleted. The six scoring systems agreed well with one another. Bettered- pneumonia severity index, minor criteria and CURB-65 score showed higher associations with severity and mortality rates and demonstrated greater predictive accuracies for mortality compared with the corresponding original systems (AUROC, 0.939 vs 0.883, 0.909 vs 0.871, 0.913 vs 0.859; NRI, 0.113, 0.076, 0.108; respectively). The validation cohort confirmed a similar pattern. Updating cut-off values of severity scoring systems for CAP orchestrate improvement in predictive accuracy, suggesting that it may facilitate the rationalization of clinical triage decision-making and further reduce mortality. The current studies provide the first known prospective evidence of potential benefit of the updating cut-off values of severity scoring systems for CAP in predictive accuracy.Key messagesUpdating cut-off values were performed better for predicting mortality.Bettered scoring systems orchestrated higher convergences.Bettered scoring systems demonstrated greater predictive accuracies for mortality.
社区获得性肺炎(CAP)的管理中,严重程度的评估至关重要。目前尚不清楚更新严重程度评分系统的截断值是否能提高预测准确性。将 3212 例 CAP 患者纳入两项观察性前瞻性队列研究。从相应的成熟和广泛使用的肺炎特异性严重程度评分系统(肺炎严重指数、次要标准和 CURB-65[意识障碍、尿素>7mmol/L、呼吸频率≥30/min、低血压和年龄≥65 岁]评分)中推导出三个改进评分系统,并更新了呼吸急促和低血压的截断值。采用 Cronbach α 评估结构效度。通过计算受试者工作特征曲线(ROC)下面积(AUROC)和净重新分类改善(NRI)来评估区分度。在推导队列中,呼吸频率≥22/min 和收缩压≤100mmHg 预测死亡率的效果优于呼吸频率≥30/min 和低血压(AUROC,0.823 比 0.519,0.688 比 0.622;NRI,0.61,0.13)。改进后的评分系统具有更高的一致性,表明如果删除更新的截断值,Cronbach α 更高,Cronbach α 的降低幅度更大。这六个评分系统彼此之间一致性良好。改进后的肺炎严重指数、次要标准和 CURB-65 评分与严重程度和死亡率的相关性更高,与相应的原始系统相比,对死亡率的预测准确性更高(AUROC,0.939 比 0.883,0.909 比 0.871,0.913 比 0.859;NRI,0.113,0.076,0.108;分别)。验证队列也证实了类似的模式。更新 CAP 严重程度评分系统的截断值可提高预测准确性,表明这可能有助于临床分诊决策的合理化,并进一步降低死亡率。目前的研究首次提供了关于 CAP 严重程度评分系统的截断值在预测准确性方面可能具有潜在益处的前瞻性证据。
关键信息
更新的截断值更有利于预测死亡率。
改进后的评分系统具有更高的一致性。
改进后的评分系统对死亡率的预测具有更高的准确性。