Construction of a C-reactive protein-albumin-lymphocyte index-based prediction model for all-cause mortality in patients on maintenance hemodialysis
Objective The mortality rate of patients undergoing maintenance hemodialysis (MHD) remains high. The C-reactive protein-albumin-lymphocyte (CALLY) index is a novel biomarker that reflects inflammation, nutritional and immune status, all merged into one single derived parameter. No study has yet link...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Renal Failure |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/0886022X.2024.2444396 |
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| author | Junmin Huang Junfeng Hao Huasheng Luo Lu Chen Hongying Luo Huafeng Liu Yongzhi Xu Peng Wang |
| author_facet | Junmin Huang Junfeng Hao Huasheng Luo Lu Chen Hongying Luo Huafeng Liu Yongzhi Xu Peng Wang |
| author_sort | Junmin Huang |
| collection | DOAJ |
| description | Objective The mortality rate of patients undergoing maintenance hemodialysis (MHD) remains high. The C-reactive protein-albumin-lymphocyte (CALLY) index is a novel biomarker that reflects inflammation, nutritional and immune status, all merged into one single derived parameter. No study has yet linked the CALLY index to survival in hemodialysis. This study aims to explore the correlation between the CALLY index and mortality in MHD patients, and develop and validate a nomogram to estimate the likelihood of death in this population.Methods This retrospective cohort study collected data from 436 patients and they were divided into survival group (n = 335) and non-survival group (n = 101). Multivariate logistic regression analysis was used to screen factors associated with death, and nomograms were developed to estimate the risk of death in MHD patients. The discrimination and calibration of nomograms were validated using the area under the receiver operating characteristic (ROC) curve (AUC) and calibration curve. In the study, stratification analysis and covariate adjustment were conducted to explore the correlation between the CALLY index and the mortality of MHD patients.Results In the final model, logistic regression showed that the CALLY index, creatinine, triglycerides, dialysis duration, absolute neutrophil count, blood urea nitrogen, sodium and ferritin were variables associated with mortality in MHD patients. A nomogram was developed to assess the risk of death in MHD patients. The AUC of the model was 0.821 (95% CI: 0.778–0.861). The results of stratified analysis and calibration model showed that the CALLY index was a protective factor for maintaining the mortality of MHD patients.Conclusions The CALLY index is closely related to the mortality of MHD patients. A nomogram constructed based on CALLY index can effectively evaluate the mortality risk of MHD patients. |
| format | Article |
| id | doaj-art-3c6e37d87386416499f6f982237dde7a |
| institution | Kabale University |
| issn | 0886-022X 1525-6049 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Renal Failure |
| spelling | doaj-art-3c6e37d87386416499f6f982237dde7a2025-01-14T23:28:09ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492025-12-0147110.1080/0886022X.2024.2444396Construction of a C-reactive protein-albumin-lymphocyte index-based prediction model for all-cause mortality in patients on maintenance hemodialysisJunmin Huang0Junfeng Hao1Huasheng Luo2Lu Chen3Hongying Luo4Huafeng Liu5Yongzhi Xu6Peng Wang7Department of Nephrology, National Clinical Key Specialty Construction Program (2023), Institute of Nephrology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Affiliated Hospital of Guangdong Medical University, Zhanjiang, ChinaDepartment of Nephrology, National Clinical Key Specialty Construction Program (2023), Institute of Nephrology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Affiliated Hospital of Guangdong Medical University, Zhanjiang, ChinaDepartment of Nephrology, National Clinical Key Specialty Construction Program (2023), Institute of Nephrology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Affiliated Hospital of Guangdong Medical University, Zhanjiang, ChinaDepartment of Nephrology, National Clinical Key Specialty Construction Program (2023), Institute of Nephrology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Affiliated Hospital of Guangdong Medical University, Zhanjiang, ChinaDepartment of Nephrology, National Clinical Key Specialty Construction Program (2023), Institute of Nephrology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Affiliated Hospital of Guangdong Medical University, Zhanjiang, ChinaDepartment of Nephrology, National Clinical Key Specialty Construction Program (2023), Institute of Nephrology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Affiliated Hospital of Guangdong Medical University, Zhanjiang, ChinaDepartment of Nephrology, National Clinical Key Specialty Construction Program (2023), Institute of Nephrology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Affiliated Hospital of Guangdong Medical University, Zhanjiang, ChinaDepartment of Nephrology, National Clinical Key Specialty Construction Program (2023), Institute of Nephrology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Affiliated Hospital of Guangdong Medical University, Zhanjiang, ChinaObjective The mortality rate of patients undergoing maintenance hemodialysis (MHD) remains high. The C-reactive protein-albumin-lymphocyte (CALLY) index is a novel biomarker that reflects inflammation, nutritional and immune status, all merged into one single derived parameter. No study has yet linked the CALLY index to survival in hemodialysis. This study aims to explore the correlation between the CALLY index and mortality in MHD patients, and develop and validate a nomogram to estimate the likelihood of death in this population.Methods This retrospective cohort study collected data from 436 patients and they were divided into survival group (n = 335) and non-survival group (n = 101). Multivariate logistic regression analysis was used to screen factors associated with death, and nomograms were developed to estimate the risk of death in MHD patients. The discrimination and calibration of nomograms were validated using the area under the receiver operating characteristic (ROC) curve (AUC) and calibration curve. In the study, stratification analysis and covariate adjustment were conducted to explore the correlation between the CALLY index and the mortality of MHD patients.Results In the final model, logistic regression showed that the CALLY index, creatinine, triglycerides, dialysis duration, absolute neutrophil count, blood urea nitrogen, sodium and ferritin were variables associated with mortality in MHD patients. A nomogram was developed to assess the risk of death in MHD patients. The AUC of the model was 0.821 (95% CI: 0.778–0.861). The results of stratified analysis and calibration model showed that the CALLY index was a protective factor for maintaining the mortality of MHD patients.Conclusions The CALLY index is closely related to the mortality of MHD patients. A nomogram constructed based on CALLY index can effectively evaluate the mortality risk of MHD patients.https://www.tandfonline.com/doi/10.1080/0886022X.2024.2444396C-reactive protein-Albumin-Lymphocyte Indexhemodialysismortalityprediction model |
| spellingShingle | Junmin Huang Junfeng Hao Huasheng Luo Lu Chen Hongying Luo Huafeng Liu Yongzhi Xu Peng Wang Construction of a C-reactive protein-albumin-lymphocyte index-based prediction model for all-cause mortality in patients on maintenance hemodialysis Renal Failure C-reactive protein-Albumin-Lymphocyte Index hemodialysis mortality prediction model |
| title | Construction of a C-reactive protein-albumin-lymphocyte index-based prediction model for all-cause mortality in patients on maintenance hemodialysis |
| title_full | Construction of a C-reactive protein-albumin-lymphocyte index-based prediction model for all-cause mortality in patients on maintenance hemodialysis |
| title_fullStr | Construction of a C-reactive protein-albumin-lymphocyte index-based prediction model for all-cause mortality in patients on maintenance hemodialysis |
| title_full_unstemmed | Construction of a C-reactive protein-albumin-lymphocyte index-based prediction model for all-cause mortality in patients on maintenance hemodialysis |
| title_short | Construction of a C-reactive protein-albumin-lymphocyte index-based prediction model for all-cause mortality in patients on maintenance hemodialysis |
| title_sort | construction of a c reactive protein albumin lymphocyte index based prediction model for all cause mortality in patients on maintenance hemodialysis |
| topic | C-reactive protein-Albumin-Lymphocyte Index hemodialysis mortality prediction model |
| url | https://www.tandfonline.com/doi/10.1080/0886022X.2024.2444396 |
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