Phungoen Pariwat, Tangpaisarn Thanat, Sawanyawisuth Kittisak
Department of Emergency Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
Antibiotics (Basel). 2025 Jun 27;14(7):654. doi: 10.3390/antibiotics14070654.
Bacteremia is a life-threatening condition encountered in the emergency department (ED). and are among the most common pathogens, but early differentiation is challenging. Identifying clinical predictors may help guide empirical treatment while awaiting culture results. This retrospective analytical study included adults aged 18 years or older who presented with bacteremia in the ED between 1 January 2016 and 31 December 2018 and had blood cultures positive for either or . Clinical predictors of bacteremia were identified using multivariable logistic regression analysis. Among 327 patients, 272 (83.2%) had bacteremia. Significant predictors of bacteremia included hypertension (adjusted OR 2.12; 95% CI: 1.03-4.39; = 0.041), solid organ tumor (adjusted OR 3.72; 95% CI: 1.63-8.51; = 0.002), and higher body temperature (adjusted OR 1.49 per °C; 95% CI: 1.15-1.93; = 0.002). The model showed good fit (Hosmer-Lemeshow = 0.326). Patients presenting with hypertension, solid organ tumor, or elevated body temperature at the ED are more likely to have bacteremia than . These predictors may support early empirical antibiotic decision-making.
菌血症是急诊科遇到的危及生命的病症。[具体细菌名称1]和[具体细菌名称2]是最常见的病原体，但早期鉴别具有挑战性。识别临床预测因素可能有助于在等待培养结果期间指导经验性治疗。这项回顾性分析研究纳入了2016年1月1日至2018年12月31日期间在急诊科出现菌血症且血培养[具体细菌名称1]或[具体细菌名称2]呈阳性的18岁及以上成年人。使用多变量逻辑回归分析确定[具体细菌名称1]菌血症的临床预测因素。在327例患者中，272例（83.2%）患有[具体细菌名称1]菌血症。[具体细菌名称1]菌血症的显著预测因素包括高血压（调整后比值比2.12；95%置信区间：1.03 - 4.39；P = 0.041）、实体器官肿瘤（调整后比值比3.72；95%置信区间：1.63 - 8.51；P = 0.002）和较高体温（每摄氏度调整后比值比1.49；95%置信区间：1.15 - 1.93；P = 0.002）。该模型显示拟合良好（Hosmer - Lemeshow检验P = 0.326）。在急诊科出现高血压、实体器官肿瘤或体温升高的患者比[未提及的某种情况]更有可能患有[具体细菌名称1]菌血症。这些预测因素可能有助于早期经验性抗生素决策。
