Establishment of a nomogram-based prognostic model (LASSO-Cox regression) for predicting platelet storage lesions under different storage conditions
IntroductionPlatelet concentrates (PCs) are critical blood products used for transfusion, but stored platelets often experience quality deterioration, resulting in reduced efficacy post-transfusion. Currently, the lack of effective prediction models hinders the assessment of platelet storage quality...
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Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Molecular Biosciences |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmolb.2025.1561114/full |
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| author | Jun Xiao Huimin Li Xiaowei Li Huifen Lei Zhicai Li Cuiying Li Cuiying Li |
| author_facet | Jun Xiao Huimin Li Xiaowei Li Huifen Lei Zhicai Li Cuiying Li Cuiying Li |
| author_sort | Jun Xiao |
| collection | DOAJ |
| description | IntroductionPlatelet concentrates (PCs) are critical blood products used for transfusion, but stored platelets often experience quality deterioration, resulting in reduced efficacy post-transfusion. Currently, the lack of effective prediction models hinders the assessment of platelet storage quality. To address this, we developed a miRNA-based prognosis prediction model that comprehensively evaluates platelet quality under diverse storage conditions, offering valuable insights into platelet shelf life.MethodsWe enrolled 249 eligible PC samples, divided into a training dataset and internal validation dataset (7:3). Through microRNA sequencing, we identified 13 differentially expressed miRNAs with platelets storage lesions (PSLs). Leveraging the LASSO-Cox regression model, we constructed a nomogram-based classifier based on the association between miRNA expression and the duration of PSLs-free survival. Performance evaluation using measures like concordance index, area under the curve, calibration curves, and decision curve analyses to confirm the model’s robustness.ResultsThe nomogram classifier, incorporating miRNAs (miR-4485-3p, miR-12136, miR-25-5p, miR-148b-5p) and storage method, effectively categorized PCs into high-risk and low-risk groups. Notably, significant differences in PSLs-free survival were observed across all datasets, underscoring the precision and accuracy of our nomogram-based model.DiscussionThis innovative classifier provides clinicians with a reliable tool to predict PSLs occurrence in PCs stored under different methods, facilitating improved clinical decision-making. |
| format | Article |
| id | doaj-art-75b65653f702496cafdb3fc8ed9335da |
| institution | DOAJ |
| issn | 2296-889X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Molecular Biosciences |
| spelling | doaj-art-75b65653f702496cafdb3fc8ed9335da2025-08-20T02:50:22ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2025-03-011210.3389/fmolb.2025.15611141561114Establishment of a nomogram-based prognostic model (LASSO-Cox regression) for predicting platelet storage lesions under different storage conditionsJun Xiao0Huimin Li1Xiaowei Li2Huifen Lei3Zhicai Li4Cuiying Li5Cuiying Li6Department of Blood Transfusion, Air Force Medical Center, Air force medical University, Beijing, ChinaDepartment of Blood Transfusion, Air Force Medical Center, Air force medical University, Beijing, ChinaDepartment of Blood Transfusion, Air Force Medical Center, Air force medical University, Beijing, ChinaDepartment of Blood Transfusion, Air Force Medical Center, Air force medical University, Beijing, ChinaThe Fifth School of Clinical Medicine, Anhui Medical University, Hefei, ChinaDepartment of Blood Transfusion, Air Force Medical Center, Air force medical University, Beijing, ChinaThe Fifth School of Clinical Medicine, Anhui Medical University, Hefei, ChinaIntroductionPlatelet concentrates (PCs) are critical blood products used for transfusion, but stored platelets often experience quality deterioration, resulting in reduced efficacy post-transfusion. Currently, the lack of effective prediction models hinders the assessment of platelet storage quality. To address this, we developed a miRNA-based prognosis prediction model that comprehensively evaluates platelet quality under diverse storage conditions, offering valuable insights into platelet shelf life.MethodsWe enrolled 249 eligible PC samples, divided into a training dataset and internal validation dataset (7:3). Through microRNA sequencing, we identified 13 differentially expressed miRNAs with platelets storage lesions (PSLs). Leveraging the LASSO-Cox regression model, we constructed a nomogram-based classifier based on the association between miRNA expression and the duration of PSLs-free survival. Performance evaluation using measures like concordance index, area under the curve, calibration curves, and decision curve analyses to confirm the model’s robustness.ResultsThe nomogram classifier, incorporating miRNAs (miR-4485-3p, miR-12136, miR-25-5p, miR-148b-5p) and storage method, effectively categorized PCs into high-risk and low-risk groups. Notably, significant differences in PSLs-free survival were observed across all datasets, underscoring the precision and accuracy of our nomogram-based model.DiscussionThis innovative classifier provides clinicians with a reliable tool to predict PSLs occurrence in PCs stored under different methods, facilitating improved clinical decision-making.https://www.frontiersin.org/articles/10.3389/fmolb.2025.1561114/fullplatelet concentrates (PCs)platelet storage lesions (PSLs)miRNA sequencingLasso-Cox regressionnomogram |
| spellingShingle | Jun Xiao Huimin Li Xiaowei Li Huifen Lei Zhicai Li Cuiying Li Cuiying Li Establishment of a nomogram-based prognostic model (LASSO-Cox regression) for predicting platelet storage lesions under different storage conditions Frontiers in Molecular Biosciences platelet concentrates (PCs) platelet storage lesions (PSLs) miRNA sequencing Lasso-Cox regression nomogram |
| title | Establishment of a nomogram-based prognostic model (LASSO-Cox regression) for predicting platelet storage lesions under different storage conditions |
| title_full | Establishment of a nomogram-based prognostic model (LASSO-Cox regression) for predicting platelet storage lesions under different storage conditions |
| title_fullStr | Establishment of a nomogram-based prognostic model (LASSO-Cox regression) for predicting platelet storage lesions under different storage conditions |
| title_full_unstemmed | Establishment of a nomogram-based prognostic model (LASSO-Cox regression) for predicting platelet storage lesions under different storage conditions |
| title_short | Establishment of a nomogram-based prognostic model (LASSO-Cox regression) for predicting platelet storage lesions under different storage conditions |
| title_sort | establishment of a nomogram based prognostic model lasso cox regression for predicting platelet storage lesions under different storage conditions |
| topic | platelet concentrates (PCs) platelet storage lesions (PSLs) miRNA sequencing Lasso-Cox regression nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fmolb.2025.1561114/full |
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