Predictive Value of White Blood Cell Counts for Infection in Patients With Diabetic Ketoacidosis and Rational Use of Antibiotics: A Cross-Sectional Study

白细胞计数对糖尿病酮症酸中毒患者感染的预测价值及合理使用抗生素的意义:一项横断面研究

阅读:1

Abstract

BACKGROUND AND AIMS: Nonspecific clinical presentations, absence of timely available paraclinical indicators of infection, and increasing concerns for antimicrobial resistance complicate decision-making in initiation of antibiotic therapy in patients with diabetic ketoacidosis (DKA). The authors have aimed to explore the role of white blood cell (WBC) counts as an indicator of infectious disease in patients with DKA. METHODS: A retrospective observational study was conducted using data from patients hospitalized with DKA in a tertiary care center in Iran. Patient data was retrieved from the hospital information system (HIS). Associations between leukocytosis and leukopenia along with several paraclinical tests (including ESR and CRP levels) and a final diagnosis of infectious disease were examined. RESULTS: Data from 129 patients were analyzed. Patients diagnosed with infection were significantly older (p < 0.001) and spent more time in-hospital (p = 0.008). Mean WBC counts, ESR and CRP were elevated in patients with and without infectious disease. There was a significant association between leukocytosis and infection (p < 0.001). ESR (p = 0.01) and CRP (p = 0.002) were also significantly higher in patients with an infection. Leukocytosis had a sensitivity of 82.3%, and a specificity of 49.2% (AUC = 0.665, 95% CI 0.571-0.759) for infection detection. Excluding cases with leukopenia, leukocytosis had a negative predictive value of 81.8%-91.4% for predicting infectious disease. CONCLUSIONS: We discourage the use of leukocytosis, per se, as a marker of infection in the setting of DKA. We found the absence of leukocytosis or leukopenia of high predictive value in exclusion of the possibility of infectious disease in DKA cases.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。