Peizhe Zhao MS, Demei Dong MD, Rong Dong MD, Yuan Zhou MD, Yan Hong MD, Guanglin Xiao MS, Zhiye Li MS, Xuelin Su BS, Xingyou Zheng BS, Xia Liu BS, Demei Zhang MD, Ling Li MD, Zhong Liu MD
{"title":"用于预测血浆捐献后血管迷走神经反应风险的列线图的开发和验证。","authors":"Peizhe Zhao MS, Demei Dong MD, Rong Dong MD, Yuan Zhou MD, Yan Hong MD, Guanglin Xiao MS, Zhiye Li MS, Xuelin Su BS, Xingyou Zheng BS, Xia Liu BS, Demei Zhang MD, Ling Li MD, Zhong Liu MD","doi":"10.1002/jca.22074","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background and Objectives</h3>\n \n <p>Vasovagal reactions (VVRs) are the most common adverse reactions and are frequently associated with serious donor adverse events. Even mild VVRs can lead to a significant reduction in the likelihood of subsequent donations. The purpose of this study is to explore the factors related to the occurrence of VVRs after plasma donation and to construct a nomogram to identify individuals at risk for VVRs to improve the safety of plasma donors.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>We collected the donation data from July 2019 to June 2020 from a plasma center in Sichuan, China, to explore the independent risk factors for vasovagal reactions. From these data, we constructed and validated a predictive model for vasovagal reactions.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>VVRs after plasma donation occurred 737 times in 120 448 plasma donations (0.66%). Gender, season, donor status, weight, pulse, duration of donation, and cycle were independent risk factors for VVRs (<i>P</i>< 0.05). The concordance index (C-index) of a logistic model in the derivation cohort was 0.916, with a Hosmer-Lemeshow goodness-of-fit probability of 0.795. The C-index of a logistic model in the validation cohort was 0.916, with a Hosmer-Lemeshow goodness-of-fit probability of 0.224. The calibration curve showed that the predicted results were in good agreement with the actual observed results.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>This study preliminarily constructed and verified a prediction model for VVRs after plasma donation. The model nomogram is practical and can identify high-risk donors.</p>\n </section>\n </div>","PeriodicalId":15390,"journal":{"name":"Journal of Clinical Apheresis","volume":"38 5","pages":"622-631"},"PeriodicalIF":1.4000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and validation of a nomogram for predicting the risk of vasovagal reactions after plasma donation\",\"authors\":\"Peizhe Zhao MS, Demei Dong MD, Rong Dong MD, Yuan Zhou MD, Yan Hong MD, Guanglin Xiao MS, Zhiye Li MS, Xuelin Su BS, Xingyou Zheng BS, Xia Liu BS, Demei Zhang MD, Ling Li MD, Zhong Liu MD\",\"doi\":\"10.1002/jca.22074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background and Objectives</h3>\\n \\n <p>Vasovagal reactions (VVRs) are the most common adverse reactions and are frequently associated with serious donor adverse events. Even mild VVRs can lead to a significant reduction in the likelihood of subsequent donations. The purpose of this study is to explore the factors related to the occurrence of VVRs after plasma donation and to construct a nomogram to identify individuals at risk for VVRs to improve the safety of plasma donors.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Materials and Methods</h3>\\n \\n <p>We collected the donation data from July 2019 to June 2020 from a plasma center in Sichuan, China, to explore the independent risk factors for vasovagal reactions. From these data, we constructed and validated a predictive model for vasovagal reactions.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>VVRs after plasma donation occurred 737 times in 120 448 plasma donations (0.66%). Gender, season, donor status, weight, pulse, duration of donation, and cycle were independent risk factors for VVRs (<i>P</i>< 0.05). The concordance index (C-index) of a logistic model in the derivation cohort was 0.916, with a Hosmer-Lemeshow goodness-of-fit probability of 0.795. The C-index of a logistic model in the validation cohort was 0.916, with a Hosmer-Lemeshow goodness-of-fit probability of 0.224. The calibration curve showed that the predicted results were in good agreement with the actual observed results.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>This study preliminarily constructed and verified a prediction model for VVRs after plasma donation. 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Development and validation of a nomogram for predicting the risk of vasovagal reactions after plasma donation
Background and Objectives
Vasovagal reactions (VVRs) are the most common adverse reactions and are frequently associated with serious donor adverse events. Even mild VVRs can lead to a significant reduction in the likelihood of subsequent donations. The purpose of this study is to explore the factors related to the occurrence of VVRs after plasma donation and to construct a nomogram to identify individuals at risk for VVRs to improve the safety of plasma donors.
Materials and Methods
We collected the donation data from July 2019 to June 2020 from a plasma center in Sichuan, China, to explore the independent risk factors for vasovagal reactions. From these data, we constructed and validated a predictive model for vasovagal reactions.
Results
VVRs after plasma donation occurred 737 times in 120 448 plasma donations (0.66%). Gender, season, donor status, weight, pulse, duration of donation, and cycle were independent risk factors for VVRs (P< 0.05). The concordance index (C-index) of a logistic model in the derivation cohort was 0.916, with a Hosmer-Lemeshow goodness-of-fit probability of 0.795. The C-index of a logistic model in the validation cohort was 0.916, with a Hosmer-Lemeshow goodness-of-fit probability of 0.224. The calibration curve showed that the predicted results were in good agreement with the actual observed results.
Conclusion
This study preliminarily constructed and verified a prediction model for VVRs after plasma donation. The model nomogram is practical and can identify high-risk donors.
期刊介绍：
The Journal of Clinical Apheresis publishes articles dealing with all aspects of hemapheresis. Articles welcomed for review include those reporting basic research and clinical applications of therapeutic plasma exchange, therapeutic cytapheresis, therapeutic absorption, blood component collection and transfusion, donor recruitment and safety, administration of hemapheresis centers, and innovative applications of hemapheresis technology. Experimental studies, clinical trials, case reports, and concise reviews will be welcomed.
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