Borcak Deniz, Ozdemir Yusuf Emre, Yesilbag Zuhal, Akkaya Samiha, Ensaroglu Esra, Sezen Aysegul Inci, Unlu Esra Canbolat, Erdem Fatma Bayrak, Senoglu Sevtap, Cizmeci Zeynep, Karaosmanoglu Hayat Kumbasar, Yasar Kadriye Kart
Department of Infectious Diseases and Clinical Microbiology, Bakırköy Dr.Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
Department of Infectious Diseases and Clinical Microbiology, Taksim Training and Research Hospital, Istanbul, Turkey.
Sci Rep. 2025 Aug 21;15(1):30709. doi: 10.1038/s41598-025-16137-8.
This study aimed to describe the epidemiological and clinical features of patients admitted to non-intensive care hospital wards due to Staphylococcus aureus bacteremia (SAB) and to identify predictors of mortality to improve patient outcomes. This single-center retrospective study included hospitalized patients with SAB between 2016 and 2024. We retrieved clinical and microbiological data retrospectively from the electronic medical record system. The research comprised 356 patients with SAB. The 30-day and in-hospital mortality rates were 7.3% (n = 26) and 9.8% (n = 35), respectively. The multivariate analysis revealed neutrophil-to-lymphocyte ratio (NLR) (HR = 1.08; 95% CI = 1.02-1.13; p = 0.002), CRP (HR = 1.01; 95% CI = 1-1.02 ; p = 0.04), and albumin (HR = 0.83; 95% CI = 0.73-0.95; p = 0.008) as predictors for 30-day mortality. Pneumonia (HR = 15.03; 95% CI = 2.05-109.71; p = 0.008), leukemia (HR = 28.72; 95% CI = 1.56-525.92; p = 0.002), and sepsis (HR = 7.06; 95% CI = 1.02-48.53; p = 0.002) were identified as significant risk factors for mortality. Using the Cox regression analysis, age (HR: 1.05, CI:1.01-1.10, p = 0.01), leukemia (HR: 0.80, CI:0.71-0.90, p < 0.001), and low albumin level (HR: 11.76; CI:1.76-78.42, p = 0.01) were identified as independent risk factors affecting in-hospital mortality. We used the receiver operating characteristic (ROC) curve to predict the30-day mortality. The area under the ROC curve values were 0.619 (p = 0.044) for NLR, 0.692 (p = 0.001) for CRP, and 0.791 (p < 0.001) for albumin. The highest sensitivity and specificity at 30-day mortality were obtained from CRP and albumin, with a sensitivity of 65.4% and a specificity of 78.5% for albumin. Elevated NLR and CRP levels, along with decreased albumin levels, may predict poor clinical outcomes and could assist clinicians in optimizing the management of this bacterial infection. As a result, early diagnosis and appropriate antibiotic treatments are crucial in reducing mortality in SAB.
本研究旨在描述因金黄色葡萄球菌菌血症(SAB)入住非重症监护病房的患者的流行病学和临床特征,并确定死亡率的预测因素以改善患者预后。这项单中心回顾性研究纳入了2016年至2024年间住院的SAB患者。我们从电子病历系统中回顾性检索了临床和微生物学数据。该研究包括356例SAB患者。30天和住院死亡率分别为7.3%(n = 26)和9.8%(n = 35)。多变量分析显示中性粒细胞与淋巴细胞比值(NLR)(HR = 1.08;95% CI = 1.02 - 1.13;p = 0.002)、CRP(HR = 1.01;95% CI = 1 - 1.02;p = 0.04)和白蛋白(HR = 0.83;95% CI = 0.73 - 0.95;p = 0.008)是30天死亡率的预测因素。肺炎(HR = 15.03;95% CI = 2.05 - 109.71;p = 0.008)、白血病(HR = 28.72;95% CI = 1.56 - 525.92;p = 0.002)和脓毒症(HR = 7.06;95% CI = 1.02 - 48.53;p = 0.002)被确定为死亡率的显著危险因素。使用Cox回归分析,年龄(HR:1.05,CI:1.01 - 1.10,p = 0.01)、白血病(HR:0.80,CI:0.71 - 0.90,p < 0.001)和低白蛋白水平(HR:11.76;CI:1.76 - 78.42,p = 0.01)被确定为影响住院死亡率的独立危险因素。我们使用受试者工作特征(ROC)曲线来预测30天死亡率。NLR的ROC曲线下面积值为0.619(p = 0.044),CRP为0.692(p = 0.001),白蛋白为0.791(p < 0.001)。30天死亡率时最高的敏感性和特异性来自CRP和白蛋白,白蛋白的敏感性为65.4%,特异性为78.5%。NLR和CRP水平升高以及白蛋白水平降低可能预示临床预后不良,并可帮助临床医生优化这种细菌感染的管理。因此,早期诊断和适当的抗生素治疗对于降低SAB的死亡率至关重要。