人口统计学、人体测量学和受试者内部变化影响富血小板血浆配方。

IF 2.7 Q2 ORTHOPEDICS

Journal of Experimental Orthopaedics Pub Date : 2025-01-26 DOI:10.1002/jeo2.70024

Luis García-Bordes, Pedro Álvarez-Díaz, Eduard Alentorn-Geli, Alfred Ferré-Aniorte, Patricia Laiz-Boada, Roberto Seijas-Vázquez, Ramon Cugat-Bertomeu

{"title":"人口统计学、人体测量学和受试者内部变化影响富血小板血浆配方。","authors":"Luis García-Bordes, Pedro Álvarez-Díaz, Eduard Alentorn-Geli, Alfred Ferré-Aniorte, Patricia Laiz-Boada, Roberto Seijas-Vázquez, Ramon Cugat-Bertomeu","doi":"10.1002/jeo2.70024","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>The purpose of this study is to describe the inter- and intra-individual differences in the platelet concentration between blood and platelet-rich plasma (PRP) preparation, assess intersubject differences considering demographic and anthropometric variables, describe PRP code distribution and analyse intrasubject variability.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A retrospective analysis was conducted using a single-centre patient database from November 2021 to November 2023. It included patients with musculoskeletal pathologies treated with PRP injections. Primary variables were demographic characteristics (sex, age, body mass index [BMI]) and platelet concentrations in blood and PRP during treatments. Secondary analysis focused on PRP code frequency distribution and intrasubject variability according to different coding systems.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Here, 686 patients met the inclusion criteria. PRP exhibited significantly higher platelet concentrations compared to blood (378.01 ± 136.25 × 10<sup>3</sup> platelets/µL vs. 221.97 ± 58.21 × 10<sup>3</sup> platelets/µL, <i>p</i> < 0.001). Younger patients had higher platelet concentrations in both blood (<i>p</i> = 0.004) and PRP (<i>p</i> = 0.003), whereas female patients showed higher platelet concentrations only in blood (<i>p</i> < 0.001). The platelet concentration ratio was higher in males (<i>p</i> < 0.001) and those with higher BMI (<i>p</i> = 0.023). Significant differences were found between the existing and modified PRP coding systems (<i>p</i> < 0.001). Intrasubject variability was higher in PRP than in blood (coefficient of variance: 21.32 ± 17.36 in blood vs. 27.85 ± 19.10 in PRP, <i>p</i> < 0.001).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Age, gender, BMI and intrasubject variations significantly affect PRP formulation, emphasizing the importance of addressing these variables for a more predictable, personalized and effective therapeutic approach.</p>\n </section>\n \n <section>\n \n <h3> Level of Evidence</h3>\n \n <p>This is a retrospective study. Level IV.</p>\n </section>\n </div>","PeriodicalId":36909,"journal":{"name":"Journal of Experimental Orthopaedics","volume":"12 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11764439/pdf/","citationCount":"0","resultStr":"{\"title\":\"Demographic, anthropometric and intrasubject variations affect platelet-rich plasma formulation\",\"authors\":\"Luis García-Bordes, Pedro Álvarez-Díaz, Eduard Alentorn-Geli, Alfred Ferré-Aniorte, Patricia Laiz-Boada, Roberto Seijas-Vázquez, Ramon Cugat-Bertomeu\",\"doi\":\"10.1002/jeo2.70024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>The purpose of this study is to describe the inter- and intra-individual differences in the platelet concentration between blood and platelet-rich plasma (PRP) preparation, assess intersubject differences considering demographic and anthropometric variables, describe PRP code distribution and analyse intrasubject variability.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A retrospective analysis was conducted using a single-centre patient database from November 2021 to November 2023. It included patients with musculoskeletal pathologies treated with PRP injections. Primary variables were demographic characteristics (sex, age, body mass index [BMI]) and platelet concentrations in blood and PRP during treatments. Secondary analysis focused on PRP code frequency distribution and intrasubject variability according to different coding systems.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Here, 686 patients met the inclusion criteria. PRP exhibited significantly higher platelet concentrations compared to blood (378.01 ± 136.25 × 10<sup>3</sup> platelets/µL vs. 221.97 ± 58.21 × 10<sup>3</sup> platelets/µL, <i>p</i> < 0.001). Younger patients had higher platelet concentrations in both blood (<i>p</i> = 0.004) and PRP (<i>p</i> = 0.003), whereas female patients showed higher platelet concentrations only in blood (<i>p</i> < 0.001). The platelet concentration ratio was higher in males (<i>p</i> < 0.001) and those with higher BMI (<i>p</i> = 0.023). Significant differences were found between the existing and modified PRP coding systems (<i>p</i> < 0.001). Intrasubject variability was higher in PRP than in blood (coefficient of variance: 21.32 ± 17.36 in blood vs. 27.85 ± 19.10 in PRP, <i>p</i> < 0.001).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Age, gender, BMI and intrasubject variations significantly affect PRP formulation, emphasizing the importance of addressing these variables for a more predictable, personalized and effective therapeutic approach.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Level of Evidence</h3>\\n \\n <p>This is a retrospective study. Level IV.</p>\\n </section>\\n </div>\",\"PeriodicalId\":36909,\"journal\":{\"name\":\"Journal of Experimental Orthopaedics\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-01-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11764439/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Experimental Orthopaedics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jeo2.70024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Experimental Orthopaedics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jeo2.70024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ORTHOPEDICS","Score":null,"Total":0}

引用次数: 0

摘要

目的：本研究的目的是描述血液和富血小板血浆（PRP）制剂之间血小板浓度的个体间和个体内差异，考虑人口统计学和人体测量变量评估受试者间差异，描述PRP代码分布并分析受试者内变异性。方法：使用2021年11月至2023年11月的单中心患者数据库进行回顾性分析。它包括接受PRP注射治疗的肌肉骨骼病变患者。主要变量为人口统计学特征（性别、年龄、体重指数[BMI]）、治疗期间血液中血小板浓度和PRP。其次分析了不同编码系统下PRP码的频率分布和主体内变异。结果：686例患者符合纳入标准。PRP的血小板浓度明显高于血液（378.01±136.25 × 103血小板/µL vs. 221.97±58.21 × 103血小板/µL， p = 0.004）和PRP (p = 0.003)，而女性患者的血小板浓度仅高于血液（p p = 0.023）。结论：年龄、性别、BMI和受试者内部差异显著影响PRP的制定，强调了解决这些变量的重要性，以获得更可预测、个性化和有效的治疗方法。证据水平：这是一项回顾性研究。IV级。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Demographic, anthropometric and intrasubject variations affect platelet-rich plasma formulation

查看原文本刊更多论文

Demographic, anthropometric and intrasubject variations affect platelet-rich plasma formulation

Purpose

The purpose of this study is to describe the inter- and intra-individual differences in the platelet concentration between blood and platelet-rich plasma (PRP) preparation, assess intersubject differences considering demographic and anthropometric variables, describe PRP code distribution and analyse intrasubject variability.

Methods

A retrospective analysis was conducted using a single-centre patient database from November 2021 to November 2023. It included patients with musculoskeletal pathologies treated with PRP injections. Primary variables were demographic characteristics (sex, age, body mass index [BMI]) and platelet concentrations in blood and PRP during treatments. Secondary analysis focused on PRP code frequency distribution and intrasubject variability according to different coding systems.

Results

Here, 686 patients met the inclusion criteria. PRP exhibited significantly higher platelet concentrations compared to blood (378.01 ± 136.25 × 10³ platelets/µL vs. 221.97 ± 58.21 × 10³ platelets/µL, p < 0.001). Younger patients had higher platelet concentrations in both blood (p = 0.004) and PRP (p = 0.003), whereas female patients showed higher platelet concentrations only in blood (p < 0.001). The platelet concentration ratio was higher in males (p < 0.001) and those with higher BMI (p = 0.023). Significant differences were found between the existing and modified PRP coding systems (p < 0.001). Intrasubject variability was higher in PRP than in blood (coefficient of variance: 21.32 ± 17.36 in blood vs. 27.85 ± 19.10 in PRP, p < 0.001).

Conclusion

Age, gender, BMI and intrasubject variations significantly affect PRP formulation, emphasizing the importance of addressing these variables for a more predictable, personalized and effective therapeutic approach.