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尿路感染相关血流感染的相关因素及病原菌特征分析。

Related factors of bloodstream infections associated with urinary tract infections and pathogenetic characteristics analysis.

机构信息

School of Clinical Medicine, Ningxia Medical University, Yinchuan, People's Republic of China.

Qingyang Maternal and Child Health Hospital, Qingyang, 745099, People's Republic of China.

出版信息

Eur J Med Res. 2024 Nov 29;29(1):566. doi: 10.1186/s40001-024-02152-4.

Abstract

OBJECTIVES

To explore correlations between biomarker indices and urosepsis severity, and investigate the prevalence of drug-resistant Escherichia coli in a patient population at the General Hospital of Ningxia Medical University in the Ningxia region of China.

METHODS

Patients with urinary tract infection-associated sepsis were categorized into three groups: a septic non-shock group (NSSPU), a septic shock group (USG), and a control group with non-sepsis cases of simple urinary tract infections (CG). The study analyzed various biomarkers, including the percentage of neutrophils (N%), neutrophil-to-lymphocyte ratio (NLR), and lactate (La), to assess their predictive value for urogenital sepsis severity.

RESULTS

The Kruskal-Wallis test showed significant differences in all measured biomarkers between the groups. ROC curve analysis identified N%, NLR, total protein (TP), albumin (ALB), and La as meaningful predictors of urosepsis severity. The combined detection indicators hold greater value in diagnosing uroseptic shock compared to individual test indicators. In addition, the study confirmed the prevalence of drug-resistant E. coli in cases of septic shock.

CONCLUSION

The combined monitoring of N%, NLR, La, TP, and ALB proves beneficial in the clinical diagnosis of uroseptic shock. This study emphasizes the significance of monitoring Escherichia coli and its resistance patterns to decrease the occurrence of sepsis complications.

摘要

目的

探讨生物标志物指标与尿脓毒症严重程度的相关性,并调查中国宁夏地区宁夏医科大学总医院患者人群中耐药大肠杆菌的流行情况。

方法

将尿路感染相关脓毒症患者分为三组:脓毒症非休克组(NSSPU)、脓毒症休克组(USG)和单纯尿路感染非脓毒症对照组(CG)。本研究分析了各种生物标志物,包括中性粒细胞百分比(N%)、中性粒细胞与淋巴细胞比值(NLR)和乳酸(La),以评估其对尿脓毒症严重程度的预测价值。

结果

Kruskal-Wallis 检验显示各组间所有测量的生物标志物均有显著差异。ROC 曲线分析确定 N%、NLR、总蛋白(TP)、白蛋白(ALB)和 La 是尿脓毒症严重程度的有意义预测指标。与单项检测指标相比,联合检测指标在诊断尿脓毒性休克方面具有更大的价值。此外,本研究证实了耐药大肠杆菌在脓毒性休克病例中的流行情况。

结论

联合监测 N%、NLR、La、TP 和 ALB 有助于临床诊断尿脓毒性休克。本研究强调了监测大肠杆菌及其耐药模式的重要性,以降低脓毒症并发症的发生。

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