Department of Pharmacy, Singapore General Hospital, Singapore, Singapore.
Department of Pharmacy, National University of Singapore, Singapore, Singapore.
Front Cell Infect Microbiol. 2020 Oct 14;10:579462. doi: 10.3389/fcimb.2020.579462. eCollection 2020.
Diverse sequence types (ST) and various carbapenemase-producing carbapenem-resistant (CP-CRE) infections, which complicate treatment strategies, have emerged in Singapore. We aim to describe these CP-CRE infections and clinical outcomes according to their carbapenemase types and determine the hierarchy of predictors for mortality that are translatable to clinical practice. Clinically significant CP-CRE infections were identified in Singapore General Hospital between 2013 and 2016. Retrospectively, all clinically relevant data were retrieved from electronic medical records from the hospital. Univariate analysis was performed. To further explore the relationship between the variables and mortality in different subsets of patients with CP-CRE, we conducted recursive partitioning analysis on all study variables using the "rpart" package in R. One hundred and fifty five patients were included in the study. Among them, 169 unique CP-CRE were isolated. Thirty-day all-cause in-hospital mortality was 35.5% ( = 55). There was no difference in the severity of illness, or any clinical outcomes exhibited by patients between the various carbapenemases. Root node began with patients with Acute Physical and Chronic Health Evaluation (APACHEII) score ≥ 15 ( = 98; mortality risk = 52.0%) and <15 ( = 57; mortality risk = 9.0%). Patients with APACHEII score ≥ 15 are further classified based on presence ( = 27; mortality risk = 23.0%) and absence ( = 71, mortality risk = 62.0%) of bacterial eradication. Without bacterial eradication, absence ( = 54) and presence ( = 17) of active source control yielded 70.0 and 35.0% mortality risk, respectively. Without active source control, the mortality risk was higher for the patients with non-receipt of definite combination therapy ( = 36, mortality risk = 83.0%) when compared to those who received ( = 18, mortality risk = 47.0%). Overall, the classification tree has an area under receiver operating characteristic curve of 0.92, with a sensitivity of 0.87 and specificity of 0.91. Different mortality risks were observed with different treatment strategies. Effective source control and microbial eradication were associated with a lower mortality rate but not active empiric therapy for CP-CRE infection. When source control was impossible, definitive antibiotic combination appeared to be associated with a reduction in mortality.
在新加坡,出现了多种序列类型(ST)和不同的碳青霉烯酶产生的碳青霉烯耐药(CP-CRE)感染,这使得治疗策略变得复杂。我们旨在根据碳青霉烯酶类型描述这些 CP-CRE 感染和临床结果,并确定可转化为临床实践的死亡率预测因素的优先级。
在 2013 年至 2016 年期间,我们在新加坡综合医院发现了具有临床意义的 CP-CRE 感染。我们从医院的电子病历中回顾性地检索了所有与临床相关的数据。进行了单变量分析。为了进一步探讨不同 CP-CRE 患者亚组中变量与死亡率之间的关系,我们使用 R 中的“rpart”包对所有研究变量进行递归分区分析。
共有 155 名患者纳入本研究。其中,分离出 169 株独特的 CP-CRE。30 天全因住院死亡率为 35.5%(=55)。不同碳青霉烯酶之间的患者病情严重程度或任何临床结果均无差异。根节点始于急性生理和慢性健康评估(APACHEII)评分≥15(=98;死亡率风险=52.0%)和<15(=57;死亡率风险=9.0%)的患者。APACHEII 评分≥15 的患者根据是否存在(=27;死亡率风险=23.0%)和不存在(=71,死亡率风险=62.0%)细菌清除进一步分类。没有细菌清除时,无(=54)和有(=17)主动源控制的死亡率风险分别为 70.0%和 35.0%。没有主动源控制时,未接受明确联合治疗(=36,死亡率风险=83.0%)的患者死亡率高于接受治疗的患者(=18,死亡率风险=47.0%)。总体而言,分类树的接收器工作特征曲线下面积为 0.92,灵敏度为 0.87,特异性为 0.91。
不同的治疗策略观察到不同的死亡率风险。有效的源控制和微生物清除与 CP-CRE 感染的死亡率较低相关,但与经验性治疗无关。当源控制不可能时,明确的抗生素联合治疗似乎与降低死亡率相关。