Significance of basophil levels in prognostic evaluation of intra-abdominal infection
10.3969/j.issn.1009-9905.2025.05.006
- VernacularTitle:嗜碱性粒细胞水平在腹腔感染预后评价中的意义
- Author:
Ming-min PANG
1
;
Shao-hua FAN
;
Mei-chen YAN
;
Bao LIU
;
Ju YANG
;
Ya-nan LI
;
Shi-han ZHANG
;
Ting-yu MENG
;
Tao GAO
Author Information
1. 山东大学齐鲁医院 重症医学科(山东 济南 250012)
- Publication Type:Journal Article
- Keywords:
Intra-abdominal Infection;
Basophils;
Prognostic evaluation
- From:
Chinese Journal of Current Advances in General Surgery
2025;28(5):367-372
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.
