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Early Diagnosis and Prediction of Death Risk in Patients with Sepsis by Combined Detection of Serum PCT, BNP, Lactic Acid, and Apache II Score

In order to investigate the expression levels of procalcitonin (PCT), B-type brain natriuretic peptide (BNP), and lactic acid (Lac) in serum of patients with sepsis, a retrospective analysis is conducted. 80 sepsis patients admitted to the ICU of our hospital from January 2019 to June 2020 are selec...

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Detalles Bibliográficos
Autores principales: Suo, Shuzhen, Luo, Liya, Song, Yongkang, Huang, He, Chen, Xixian, Liu, Changbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325350/
https://www.ncbi.nlm.nih.gov/pubmed/35935301
http://dx.doi.org/10.1155/2022/8522842
Descripción
Sumario:In order to investigate the expression levels of procalcitonin (PCT), B-type brain natriuretic peptide (BNP), and lactic acid (Lac) in serum of patients with sepsis, a retrospective analysis is conducted. 80 sepsis patients admitted to the ICU of our hospital from January 2019 to June 2020 are selected, and the application value of these factors combined with Apache II score in early diagnosis and prediction of death risk is analyzed. All patients are classified into survival group (n = 57) and death group (n = 23), and examined by blood routine. Lac, PCT, and BNP, and the serum PCT, BNP, and Lac levels were compared between the nonsepsis group and the control group. Furthermore, Acute Physiology and Chronic Health Status scoring System II (Apache II) is applied to evaluate the score difference between the sepsis group and the control group. The ROC curve demonstrates that PCT, BNP, and Lac combined with Apache II score can obtain high value for early diagnosis of sepsis. Compared with nonsepsis patients, the scores of serum Lac, PCT, and BNP and Apache II are significantly higher in sepsis patients. It is clearly evident that the combined detection of those indicators is valuable for early diagnosis and prediction of death, and will be suitable for widespread clinical application.