Bohte R, Hermans J, van den Broek P J
Department of Infectious Diseases, University Hospital, Leiden, The Netherlands.
Eur J Clin Microbiol Infect Dis. 1996 Mar;15(3):201-5. doi: 10.1007/BF01591354.
The objective of this study was to assess the predictive value of signs, symptoms, and rapidly available laboratory parameters for pneumococci in community-acquired pneumonia (CAP). A prospective study on patients with CAP who were admitted to hospital was conducted. Clinical and laboratory data were collected according to a protocol. Two hundred sixty-eight patients aged 18 years or older, not living in a nursing home or not admitted to hospital within one week of this admission, with a new infiltrate on the chest radiograph consistent with pneumonia were included. According to microbiological and serological tests, patients were allocated to one of two aetiological groups, Streptococcus pneumoniae or "other pathogens". Seventy-three variables were examined for a correlation with one of the aetiological categories by means of univariate and multivariate analysis. The resulting discriminant function was considered a clinical test for which posttest probabilities for pneumococcal pneumonia were calculated. Streptococcus pneumoniae was demonstrated in 79 patients and other pathogens in 83; no pathogens were detectable in 106 patients. The variables "cardiovascular disease", "acute onset", "pleuritic pain", "gram-positive bacteria in the sputum Gram stain", and "leucocyte count" correctly predicted the cause of CAP in 80% of all cases in both groups. Depending on the prevalence of Streptococcus pneumoniae, posttest probabilities for pneumococcal pneumonia were up to 90%. It is concluded that data on history, together with the result of the Gram stain of sputum and the leucocyte count, can help to distinguish Streptococcus pneumoniae from other pathogens causing CAP.
本研究的目的是评估社区获得性肺炎(CAP)中肺炎球菌的体征、症状及快速可得的实验室参数的预测价值。对入院的CAP患者进行了一项前瞻性研究。按照方案收集临床和实验室数据。纳入了268例年龄在18岁及以上、不住在养老院且本次入院前一周内未入院、胸部X光片有与肺炎相符的新浸润影的患者。根据微生物学和血清学检测,将患者分为两个病因组之一,即肺炎链球菌组或“其他病原体”组。通过单因素和多因素分析检查了73个变量与其中一个病因类别的相关性。所得判别函数被视为一种临床检测方法,并据此计算肺炎球菌肺炎的验后概率。79例患者检测出肺炎链球菌,83例检测出其他病原体;106例患者未检测到病原体。变量“心血管疾病”“急性起病”“胸膜炎性疼痛”“痰革兰氏染色中革兰氏阳性菌”及“白细胞计数”在两组所有病例的80%中正确预测了CAP的病因。根据肺炎链球菌的患病率,肺炎球菌肺炎的验后概率高达90%。结论是,病史数据以及痰革兰氏染色结果和白细胞计数有助于区分肺炎链球菌与其他导致CAP的病原体。