Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia major
Background: Cytomegalovirus infection is a common complication following hematopoietic stem cell transplantation that significantly influences clinical outcomes. Objectives: To develop and validate a predictive model for cytomegalovirus infection risk in patients with β-thalassemia major undergoing...
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SAGE Publishing
2025-07-01
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| Series: | SAGE Open Medicine |
| Online Access: | https://doi.org/10.1177/20503121251360132 |
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| author | Lin Pan Zhenbin Wei Yanni Xie Zhaoping Gan Hongwen Xiao Lianjin Liu Lingling Shi Zhongming Zhang Meiqing Wu Yinghua Chen Yanye Liu Xuemei Zhou Chan Li Chunjie Qin Yongrong Lai Rongrong Liu |
| author_facet | Lin Pan Zhenbin Wei Yanni Xie Zhaoping Gan Hongwen Xiao Lianjin Liu Lingling Shi Zhongming Zhang Meiqing Wu Yinghua Chen Yanye Liu Xuemei Zhou Chan Li Chunjie Qin Yongrong Lai Rongrong Liu |
| author_sort | Lin Pan |
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| description | Background: Cytomegalovirus infection is a common complication following hematopoietic stem cell transplantation that significantly influences clinical outcomes. Objectives: To develop and validate a predictive model for cytomegalovirus infection risk in patients with β-thalassemia major undergoing hematopoietic stem cell transplantation. Design: Retrospective cohort study. Methods: Clinical data from 291 β-thalassemia major patients undergoing hematopoietic stem cell transplantation were retrospectively analyzed. Independent risk factors identified via univariate and multivariate logistic regression analyses formed the basis of a predictive nomogram. The model’s performance was evaluated by the concordance index (C-index), receiver operating characteristic curves, calibration plots, and decision curve analysis. Internal validation was performed using bootstrap resampling, and external validation was conducted with an independent cohort of 84 patients from another center. Results: Three independent predictors of cytomegalovirus infection were identified: serum albumin levels, donor type, and grade III–IV acute graft-versus-host disease. A nomogram incorporating these predictors was established, demonstrating good discriminative ability (C-index: 0.745; 95% CI: 0.684–0.807). Internal and external validations yielded C-indices of 0.746 and 0.649, respectively. Receiver operating characteristic analysis showed an area under the curve of 0.745 in the training cohort and 0.649 in the validation cohort. Conclusion: We developed and validated a reliable predictive model for assessing cytomegalovirus infection risk after hematopoietic stem cell transplantation in β-thalassemia major patients. This scoring system offers clinicians a practical tool for early risk stratification and intervention. |
| format | Article |
| id | doaj-art-bf2b2b31347e444b980ef679abf13e52 |
| institution | Kabale University |
| issn | 2050-3121 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | SAGE Open Medicine |
| spelling | doaj-art-bf2b2b31347e444b980ef679abf13e522025-08-20T03:56:05ZengSAGE PublishingSAGE Open Medicine2050-31212025-07-011310.1177/20503121251360132Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia majorLin Pan0Zhenbin Wei1Yanni Xie2Zhaoping Gan3Hongwen Xiao4Lianjin Liu5Lingling Shi6Zhongming Zhang7Meiqing Wu8Yinghua Chen9Yanye Liu10Xuemei Zhou11Chan Li12Chunjie Qin13Yongrong Lai14Rongrong Liu15The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. ChinaGuangxi Key Laboratory of Thalassemia Research, Nanning, P. R. ChinaThe First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. ChinaGuangxi Key Laboratory of Thalassemia Research, Nanning, P. R. ChinaThe First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. ChinaThe First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. ChinaGuangxi Key Laboratory of Thalassemia Research, Nanning, P. R. ChinaThe First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. ChinaThe First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. ChinaThe First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. ChinaThe First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. ChinaThe First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. ChinaLiuzhou People’s Hospital, Guangxi, P. R. ChinaLiuzhou People’s Hospital, Guangxi, P. R. ChinaGuangxi Key Laboratory of Thalassemia Research, Nanning, P. R. ChinaGuangxi Key Laboratory of Thalassemia Research, Nanning, P. R. ChinaBackground: Cytomegalovirus infection is a common complication following hematopoietic stem cell transplantation that significantly influences clinical outcomes. Objectives: To develop and validate a predictive model for cytomegalovirus infection risk in patients with β-thalassemia major undergoing hematopoietic stem cell transplantation. Design: Retrospective cohort study. Methods: Clinical data from 291 β-thalassemia major patients undergoing hematopoietic stem cell transplantation were retrospectively analyzed. Independent risk factors identified via univariate and multivariate logistic regression analyses formed the basis of a predictive nomogram. The model’s performance was evaluated by the concordance index (C-index), receiver operating characteristic curves, calibration plots, and decision curve analysis. Internal validation was performed using bootstrap resampling, and external validation was conducted with an independent cohort of 84 patients from another center. Results: Three independent predictors of cytomegalovirus infection were identified: serum albumin levels, donor type, and grade III–IV acute graft-versus-host disease. A nomogram incorporating these predictors was established, demonstrating good discriminative ability (C-index: 0.745; 95% CI: 0.684–0.807). Internal and external validations yielded C-indices of 0.746 and 0.649, respectively. Receiver operating characteristic analysis showed an area under the curve of 0.745 in the training cohort and 0.649 in the validation cohort. Conclusion: We developed and validated a reliable predictive model for assessing cytomegalovirus infection risk after hematopoietic stem cell transplantation in β-thalassemia major patients. This scoring system offers clinicians a practical tool for early risk stratification and intervention.https://doi.org/10.1177/20503121251360132 |
| spellingShingle | Lin Pan Zhenbin Wei Yanni Xie Zhaoping Gan Hongwen Xiao Lianjin Liu Lingling Shi Zhongming Zhang Meiqing Wu Yinghua Chen Yanye Liu Xuemei Zhou Chan Li Chunjie Qin Yongrong Lai Rongrong Liu Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia major SAGE Open Medicine |
| title | Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia major |
| title_full | Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia major |
| title_fullStr | Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia major |
| title_full_unstemmed | Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia major |
| title_short | Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia major |
| title_sort | prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β thalassemia major |
| url | https://doi.org/10.1177/20503121251360132 |
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