Department of Pharmacy Practice, Chicago College of Pharmacy, Midwestern University, Downers Grove, Illinois, USA.
Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, Illinois, USA.
Antimicrob Agents Chemother. 2021 Jun 17;65(7):e0041721. doi: 10.1128/AAC.00417-21.
Hospitalized patients with community-acquired pneumonia (CAP) are at risk of developing Clostridioides difficile infection (CDI). We developed and tested clinical decision rules for identifying CDI risk in this patient population. The study was a single-center retrospective, case-control analysis of hospitalized adult patients empirically treated for CAP between 1 January 2014 and 3 March 2018. Differences between cases (CDI diagnosed within 180 days following admission) and controls (no test result indicating CDI during the study period) with respect to prehospitalization variables were modeled to generate propensity scores. Postadmission variables were used to predict case status on each postadmission day where (i) ≥1 additional case was identified and (ii) each model stratum contained ≥15 subjects. Models were developed and tested using optimal discriminant analysis and classification tree analysis. Forty-four cases and 181 controls were included. The median time to diagnosis was 50 days postadmission. After weighting, three models were identified (20, 117, and 165 days postadmission). The day 20 model yielded the greatest (weighted [w]) accuracy (weighted area under the receiver operating characteristic curve [wROC area] = 0.826) and the highest chance-corrected accuracy (weighted effect strength for sensitivity [wESS] = 65.3). Having a positive culture (odds, 1:4; 0.001), receipt of ceftriaxone plus azithromycin for a defined infection (odds, 3:5; 0.006), and continuation of empirical broad-spectrum antibiotics with activity against P. aeruginosa when no pathogen was identified (odds, 1:8; 0.013) were associated with CDI on day 20. Three models were identified that accurately predicted CDI in hospitalized patients treated for CAP. Antibiotic use increased the risk of CDI in all models, underscoring the importance of antibiotic stewardship.
住院的社区获得性肺炎(CAP)患者有发生艰难梭菌感染(CDI)的风险。我们开发并测试了用于识别该患者群体中 CDI 风险的临床决策规则。这项研究是一项单中心回顾性病例对照分析,纳入了 2014 年 1 月 1 日至 2018 年 3 月 3 日期间接受经验性 CAP 治疗的住院成年患者。对病例(入院后 180 天内确诊 CDI)和对照(研究期间无 CDI 检测结果)患者的入院前变量进行建模,以生成倾向评分。使用入院后的变量来预测入院后每一天的病例状态,其中 (i) 发现≥1 例额外的病例,以及 (ii) 每个模型层包含≥15 名患者。使用最佳判别分析和分类树分析来开发和测试模型。纳入了 44 例病例和 181 例对照。中位诊断时间为入院后 50 天。经加权后,确定了三个模型(入院后 20、117 和 165 天)。第 20 天模型的准确性最高(加权[w]ROC 曲线下面积[wROC 面积]=0.826),校正后灵敏度的机会准确性最高(加权敏感性效应强度[wESS]=65.3)。阳性培养(比值比,1:4;0.001)、接受头孢曲松加阿奇霉素治疗明确感染(比值比,3:5;0.006)和当未鉴定出病原体时继续使用对铜绿假单胞菌有效的经验性广谱抗生素(比值比,1:8;0.013)与第 20 天的 CDI 相关。确定了三个能够准确预测 CAP 住院患者 CDI 的模型。所有模型中,抗生素的使用增加了 CDI 的风险,突出了抗生素管理的重要性。