Hopstaken R M, Muris J W, Knottnerus J A, Kester A D, Rinkens P E, Dinant G J
Department of General Practice, Maastricht University, Care and Public Health Research Institute, Maastricht, The Netherlands.
Br J Gen Pract. 2003 May;53(490):358-64.
Diagnostic tests enabling general practitioners (GPs) to differentiate rapidly between pneumonia and other lower respiratory tract infections (LRTIs) are needed to prevent increase of bacterial resistance by unjustified antibiotic prescribing.
To assess the diagnostic value of symptoms, signs, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) for pneumonia; to derive a prediction rule for the presence of pneumonia; and to identify a low-risk group of patients who do not require antibiotic treatment.
Cross-sectional.
Fifteen GP surgeries in the southern part of The Netherlands.
Twenty-five GPs recorded clinical information and diagnosis in 246 adult patients presenting with LRTI. Venous blood samples for CRP and ESR were taken and chest radiographs (reference standard) were made. Odds ratios, describing the relationships between discrete diagnostic variables and reference standard (pneumonia or no pneumonia) were calculated. Receiver operating characteristic analysis of ESR, CRP, and final models for pneumonia was performed. Prediction rules for pneumonia were derived from multiple logistic regression analysis.
Dry cough, diarrhoea, and a recorded temperature of > or = 38 degrees C were independent and statistically significant predictors of pneumonia, whereas abnormal pulmonary auscultation and clinical diagnosis of pneumonia by the GPs were not. ESR and CRP had higher diagnostic odds ratios than any of the symptoms and signs. Adding CRP to the final 'symptoms and signs' model significantly increased the probability of correct diagnosis. Applying a prediction rule for low-risk patients, including a CRP of < 20, 80 of the 193 antibiotic prescriptions could have been prevented with a maximum risk of 2.5% of missing a pneumonia case.
Most symptoms and signs traditionally associated with pneumonia are not predictive of pneumonia in general practice. The prediction rule for low-risk patients presented here, including a CRP of < 20, can considerably reduce unjustified antibiotic prescribing.
为防止因不合理使用抗生素导致细菌耐药性增加,需要有能让全科医生(GP)快速区分肺炎与其他下呼吸道感染(LRTI)的诊断测试。
评估症状、体征、红细胞沉降率(ESR)和C反应蛋白(CRP)对肺炎的诊断价值;得出肺炎存在的预测规则;并确定无需抗生素治疗的低风险患者组。
横断面研究。
荷兰南部的15家全科医生诊所。
25名全科医生记录了246例患有下呼吸道感染的成年患者的临床信息和诊断结果。采集静脉血样本检测CRP和ESR,并进行胸部X光检查(参考标准)。计算描述离散诊断变量与参考标准(肺炎或无肺炎)之间关系的比值比。对ESR、CRP和肺炎最终模型进行受试者操作特征分析。通过多元逻辑回归分析得出肺炎的预测规则。
干咳、腹泻以及记录的体温≥38℃是肺炎的独立且具有统计学意义的预测因素,而肺部听诊异常和全科医生对肺炎的临床诊断则不是。ESR和CRP的诊断比值比高于任何症状和体征。在最终的“症状和体征”模型中加入CRP显著提高了正确诊断的概率。应用针对低风险患者的预测规则,包括CRP<20,193份抗生素处方中的80份本可避免,漏诊肺炎病例的最大风险为2.5%。
在全科医疗中,大多数传统上与肺炎相关的症状和体征并不能预测肺炎。此处提出的针对低风险患者的预测规则,包括CRP<20,可大幅减少不合理的抗生素处方。