Inflammatory Burden Index: A Superior Prognostic Biomarker of Systemic Inflammation in Patients on Peritoneal Dialysis
Year: 2024
Type: article
Study design: Observational Study
Abstract: Purpose: Systemic inflammation biomarkers, derived from routine blood tests, have been demonstrated to be associated with prognosis of patients undergoing peritoneal dialysis (PD). However, studies focusing on the comparisons of their role on predictive efficacy for prognosis of PD patient are limited and results are inconsistent. The purpose of this study was to evaluate the prognostic value of various systemic inflammation biomarkers and to identify the optimal one in PD patients. Patients and Methods: This longitudinal study involved 3,225 patients undergoing PD across China. The prognostic accuracy of systemic inflammatory biomarkers was evaluated using C-statistics. Independent prognostic biomarkers of outcomes were determined using multivariate Cox proportional hazards regression analysis. Results: During a 46-month follow-up, 829 (25.7%) patients died, with 458 (55.3%) deaths attributed to cardiovascular disease (CVD). The highest C-statistics were observed for the IBI, with 0.619 and 0.621 for all-cause and CVD mortality, respectively. The optimal threshold of the IBI for predicting prognosis in patients undergoing PD was 50.0. An elevated IBI was a significant independent predictor of all-cause mortality, with a 1-SD increase associated with higher risks of all-cause and CVD mortality. Participants in the upper two quartiles of IBI exhibited increased risks of all-cause mortality by 41.2% and 67.6%, respectively, compared to those in the lowest quartile. Similar results were observed for CVD mortality. Conclusion: The IBI is a superior prognostic indicator of survival and could be broadly applied for prognosis of patients undergoing PD. Elevated IBI is an independent risk factor for all-cause and CVD mortality.
Source: Journal of Inflammation Research
DOI: 10.2147/jir.s393291
Institutions: Jiangmen Central Hospital, Ningxia Medical University, Ningxia Medical University General Hospital, Zhujiang Hospital, Southern Medical University, First Affiliated Hospital of Nanchang University, Second Affiliated Hospital of Guangzhou Medical University, First Affiliated Hospital of Zhengzhou University, Jiujiang First People's Hospital, Sixth Affiliated Hospital of Sun Yat-sen University, Shanghai Jiao Tong University, Shanghai Sixth People's Hospital, Sun Yat-sen University, The First Affiliated Hospital, Sun Yat-sen University
Language: English
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,836
OpenAlex ID: W4405257939
