Inflammation-based scores predict chronic kidney disease progression in patients with chronic kidney disease and chronic heart failure
Lu Cai,
Licong Su,
Ying Hu,
Endi Cai,
Hong Xu,
Bicheng Liu,
Jianping Weng,
Chunbo Chen,
Huafeng Liu,
Qiongqiong Yang,
Hua Li,
Yaozhong Kong,
Guisen Li,
Qijun Wan,
Yan Zha,
Gang Xu,
Yongjun Shi,
Yilun Zhou,
Guobin Su,
Ying Tang,
Mengchun Gong
Affiliations
Lu Cai
Department of Nephrology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
Licong Su
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
Ying Hu
Department of Nephrology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
Endi Cai
Digital Health China Technologies Co., Ltd, Beijing, China
Hong Xu
Children’s Hospital of Fudan University, Shanghai, China
Bicheng Liu
Institute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China
Jianping Weng
Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
Chunbo Chen
Department of Critical Care Medicine, Maoming People’s Hospital, Maoming, China
Huafeng Liu
Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
Qiongqiong Yang
Department of Nephrology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
Hua Li
Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
Yaozhong Kong
Department of Nephrology, the First People’s Hospital of Foshan, Foshan, Guangdong, China
Guisen Li
Renal Department and Institute of Nephrology, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Sichuan Clinical Research Center for Kidney Diseases, Chengdu, China
Qijun Wan
The Second People’s Hospital of Shenzhen, Shenzhen University, Shenzhen, China
Yan Zha
Guizhou Provincial People’s Hospital, Guizhou University, Guiyang, China
Gang Xu
Division of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Yongjun Shi
Huizhou Municipal Central Hospital, Sun Yat-Sen University, Huizhou, China
Yilun Zhou
Department of Nephrology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
Guobin Su
Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital, The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
Ying Tang
The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
Mengchun Gong
Digital Health China Technologies Co., Ltd, Beijing, China
Background Inflammation is associated with adverse outcomes of chronic kidney disease (CKD) or chronic heart failure (CHF), but few large data exist. We aimed to explore the clinical associations, and prognostic consequences of inflammation-based scores in patients with CKD and CHF.Methods This work was a retrospective cohort study. Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), Prognostic Nutritional Index (PNI) and Prognostic Index (PI), were used to explore its relationship with CKD progression in patients with CKD stage 1-3b and CHF from the China Renal Data System (CRDS). The composite end point of this study was CKD progression which was defined as eGFR reduction of 40% or progression to end stage renal disease (ESRD).Results Of 8491 patients were enrolled. Kaplan-Meier curve showed that compared to the lower inflammation-based scores, the increased scores have a higher rate of CKD progression, whether in GPS, mGPS, PNI or PI (log-rank test, p 0.05).Conclusions Inflammation-based scores, especially PNI may be a useful clinical biomarker for CKD progression in CKD with CHF patients.
