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已发表论文
降钙素原水平下降及其与白蛋白的比值可预测腹腔脓毒症患者的死亡率
Authors Li Q, Lyu ZC, Zhang LL, Li YR, Chen JY, Yuan YW
Received 19 February 2025
Accepted for publication 9 August 2025
Published 26 September 2025 Volume 2025:18 Pages 13413—13422
DOI https://doi.org/10.2147/JIR.S523827
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Tara Strutt
Qiang Li,1,* Zhuo-Chen Lyu,1,* Le-Le Zhang,1 Yi-Ran Li,2 Jia-Ying Chen,2 Ya-Wei Yuan1
1Department of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China; 2Department of Anesthesiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Ya-Wei Yuan Department of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No. 197, Ruijin Second Road, Shanghai, 200025, People’s Republic of China, Email yaweiyuan9654@163.com Jia-Ying Chen Department of Anesthesiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, 201823, People’s Republic of China, Email pachenje5684@163.com
Purpose: Abdominal sepsis may act as a life-threatening disease characterized by a dysregulated inflammatory response and nutritional deficits. Given the complex interplay between inflammation and malnutrition, integrating these biomarkers may provide a more comprehensive understanding of patients’ outcomes and improve early prognosis in the intensive care unit (ICU). Herein, we report the predictive value of procalcitonin (PCT) and its ratio to albumin (ALB) for mortality of abdominal sepsis patients, aiming to provide more references for clinical disease management.
Patients and Methods: This is a retrospective study involving one hundred and twenty-four patients diagnosed with abdominal sepsis. Kaplan-Meier survival analysis was utilized to analyze the 30- and 90-day mortality of patients. Univariable and multivariable Cox regression analyses were conducted to confirm the prognostic factors. In addition, ROC analyses were performed to evaluate the diagnostic efficiency.
Results: An 80% decrease of PCT within 4 days was identified as a cutoff to predict the 30-day (P = 0.032) and 90-day mortality (P = 0.030) with the help of Kaplan-Meier analysis. In the multivariate Cox regression analysis, the PCT decrease/ALB was an independent prognostic factor for 30-day mortality (P < 0.05) and 90-day mortality (P < 0.05) before and after adjustment for age, gender, and BMI. Moreover, ROC analysis revealed the significance of PCT and PCT decrease/ALB in predicting 30-day and 90-day mortality.
Conclusion: In conclusion, the decrease in PCT and the ratio of PCT decrease/ALB are promising biomarkers to predict mortality in patients with abdominal sepsis.
Keywords: PCT, albumin, abdominal sepsis, intensive care unit, mortality prediction
1Department of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China; 2Department of Anesthesiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Ya-Wei Yuan Department of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No. 197, Ruijin Second Road, Shanghai, 200025, People’s Republic of China, Email yaweiyuan9654@163.com Jia-Ying Chen Department of Anesthesiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, 201823, People’s Republic of China, Email pachenje5684@163.com
Purpose: Abdominal sepsis may act as a life-threatening disease characterized by a dysregulated inflammatory response and nutritional deficits. Given the complex interplay between inflammation and malnutrition, integrating these biomarkers may provide a more comprehensive understanding of patients’ outcomes and improve early prognosis in the intensive care unit (ICU). Herein, we report the predictive value of procalcitonin (PCT) and its ratio to albumin (ALB) for mortality of abdominal sepsis patients, aiming to provide more references for clinical disease management.
Patients and Methods: This is a retrospective study involving one hundred and twenty-four patients diagnosed with abdominal sepsis. Kaplan-Meier survival analysis was utilized to analyze the 30- and 90-day mortality of patients. Univariable and multivariable Cox regression analyses were conducted to confirm the prognostic factors. In addition, ROC analyses were performed to evaluate the diagnostic efficiency.
Results: An 80% decrease of PCT within 4 days was identified as a cutoff to predict the 30-day (P = 0.032) and 90-day mortality (P = 0.030) with the help of Kaplan-Meier analysis. In the multivariate Cox regression analysis, the PCT decrease/ALB was an independent prognostic factor for 30-day mortality (P < 0.05) and 90-day mortality (P < 0.05) before and after adjustment for age, gender, and BMI. Moreover, ROC analysis revealed the significance of PCT and PCT decrease/ALB in predicting 30-day and 90-day mortality.
Conclusion: In conclusion, the decrease in PCT and the ratio of PCT decrease/ALB are promising biomarkers to predict mortality in patients with abdominal sepsis.
Keywords: PCT, albumin, abdominal sepsis, intensive care unit, mortality prediction