{"title":"用残缺肢体严重程度评分重新评估肢体截肢的切割标准。","authors":"Ryosuke Omoto, Yutaka Umemura, Kensei Hanaoka, Yumika Yonao, Hiroki Kai, Kazuya Oi, Takaya Nishiura, Ayumi Nitta, Sung Ho Kim, Tomoki Yamada, Mitsuhiro Noborio, Satoshi Fujimi, Yasuaki Mizushima","doi":"10.1136/tsaco-2024-001694","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Decision-making regarding amputation in severe open extremity fractures is challenging. Various scoring systems, such as the Mangled Extremity Severity Score (MESS), have guided critical decisions for nearly three decades, yet no consensus or clear criteria have been established. The aim of this study is to identify predictive factors for amputation in open extremity fractures using MESS.</p><p><strong>Method: </strong>We retrospectively analyzed patients with open limb fractures classified as Gustilo-Anderson type 3B or 3C, treated between April 2013 and September 2024 at two tertiary hospitals in Osaka, Japan. We compared MESS values between patients who underwent limb preservation and those who required amputation at any time during hospitalization and performed receiver operating characteristic curve analysis to identify the optimal MESS cut-off value for predicting amputation.</p><p><strong>Results: </strong>The preservation and amputation groups comprised 36 and 18 patients, respectively. The mean (±SD) total MESS was significantly lower in the preservation group than that in the amputation group (5.7±1.5 vs 8.0±1.4; p≤0.001). MESS ≥7 demonstrated a sensitivity of 83% and a specificity of 78%, whereas MESS ≥8 showed increased specificity (92%) with slightly reduced sensitivity (78%). The area under the curve for MESS was 0.86, and for MESS ≥8, it was significantly higher than that for MESS ≥7 (p=0.020).</p><p><strong>Conclusion: </strong>Although MESS remains a valuable tool for decision-making in amputation, our findings suggest that a revised cut-off score of 8 may better reflect the current trauma management capabilities. This adjustment could enhance the predictive accuracy of MESS, facilitating more informed clinical decisions in severe limb trauma.</p><p><strong>Level of evidence: </strong>III.</p>","PeriodicalId":23307,"journal":{"name":"Trauma Surgery & Acute Care Open","volume":"10 1","pages":"e001694"},"PeriodicalIF":2.1000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11956282/pdf/","citationCount":"0","resultStr":"{\"title\":\"Re-evaluation of cutting criteria for limb amputation using the Mangled Extremity Severity Score.\",\"authors\":\"Ryosuke Omoto, Yutaka Umemura, Kensei Hanaoka, Yumika Yonao, Hiroki Kai, Kazuya Oi, Takaya Nishiura, Ayumi Nitta, Sung Ho Kim, Tomoki Yamada, Mitsuhiro Noborio, Satoshi Fujimi, Yasuaki Mizushima\",\"doi\":\"10.1136/tsaco-2024-001694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Decision-making regarding amputation in severe open extremity fractures is challenging. Various scoring systems, such as the Mangled Extremity Severity Score (MESS), have guided critical decisions for nearly three decades, yet no consensus or clear criteria have been established. The aim of this study is to identify predictive factors for amputation in open extremity fractures using MESS.</p><p><strong>Method: </strong>We retrospectively analyzed patients with open limb fractures classified as Gustilo-Anderson type 3B or 3C, treated between April 2013 and September 2024 at two tertiary hospitals in Osaka, Japan. We compared MESS values between patients who underwent limb preservation and those who required amputation at any time during hospitalization and performed receiver operating characteristic curve analysis to identify the optimal MESS cut-off value for predicting amputation.</p><p><strong>Results: </strong>The preservation and amputation groups comprised 36 and 18 patients, respectively. The mean (±SD) total MESS was significantly lower in the preservation group than that in the amputation group (5.7±1.5 vs 8.0±1.4; p≤0.001). MESS ≥7 demonstrated a sensitivity of 83% and a specificity of 78%, whereas MESS ≥8 showed increased specificity (92%) with slightly reduced sensitivity (78%). The area under the curve for MESS was 0.86, and for MESS ≥8, it was significantly higher than that for MESS ≥7 (p=0.020).</p><p><strong>Conclusion: </strong>Although MESS remains a valuable tool for decision-making in amputation, our findings suggest that a revised cut-off score of 8 may better reflect the current trauma management capabilities. This adjustment could enhance the predictive accuracy of MESS, facilitating more informed clinical decisions in severe limb trauma.</p><p><strong>Level of evidence: </strong>III.</p>\",\"PeriodicalId\":23307,\"journal\":{\"name\":\"Trauma Surgery & Acute Care Open\",\"volume\":\"10 1\",\"pages\":\"e001694\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11956282/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trauma Surgery & Acute Care Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1136/tsaco-2024-001694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trauma Surgery & Acute Care Open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/tsaco-2024-001694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0
摘要
背景:对严重开放性肢体骨折患者进行截肢的决策具有挑战性。近三十年来,各种评分系统,如肢体损伤严重程度评分(MESS),一直指导着关键决策,但尚未建立共识或明确的标准。本研究的目的是利用MESS确定开放性四肢骨折截肢的预测因素。方法:回顾性分析2013年4月至2024年9月在日本大阪两家三级医院治疗的Gustilo-Anderson型3B或3C型开放性肢体骨折患者。我们比较了在住院期间任何时间接受肢体保留的患者和需要截肢的患者之间的MESS值,并进行了受试者工作特征曲线分析,以确定预测截肢的最佳MESS临界值。结果:保留组36例,截肢组18例。保存组的平均(±SD)总MESS显著低于截肢组(5.7±1.5 vs 8.0±1.4;p≤0.001)。MESS≥7的敏感性为83%,特异性为78%,而MESS≥8的特异性增加(92%),敏感性略有降低(78%)。MESS的曲线下面积为0.86,当MESS≥8时,曲线下面积显著高于MESS≥7时(p=0.020)。结论:尽管MESS仍然是截肢手术决策的一个有价值的工具,但我们的研究结果表明,修订后的8分分值可能更好地反映当前的创伤管理能力。这种调整可以提高MESS的预测准确性,有助于在严重肢体创伤中做出更明智的临床决策。证据水平:III。
Re-evaluation of cutting criteria for limb amputation using the Mangled Extremity Severity Score.
Background: Decision-making regarding amputation in severe open extremity fractures is challenging. Various scoring systems, such as the Mangled Extremity Severity Score (MESS), have guided critical decisions for nearly three decades, yet no consensus or clear criteria have been established. The aim of this study is to identify predictive factors for amputation in open extremity fractures using MESS.
Method: We retrospectively analyzed patients with open limb fractures classified as Gustilo-Anderson type 3B or 3C, treated between April 2013 and September 2024 at two tertiary hospitals in Osaka, Japan. We compared MESS values between patients who underwent limb preservation and those who required amputation at any time during hospitalization and performed receiver operating characteristic curve analysis to identify the optimal MESS cut-off value for predicting amputation.
Results: The preservation and amputation groups comprised 36 and 18 patients, respectively. The mean (±SD) total MESS was significantly lower in the preservation group than that in the amputation group (5.7±1.5 vs 8.0±1.4; p≤0.001). MESS ≥7 demonstrated a sensitivity of 83% and a specificity of 78%, whereas MESS ≥8 showed increased specificity (92%) with slightly reduced sensitivity (78%). The area under the curve for MESS was 0.86, and for MESS ≥8, it was significantly higher than that for MESS ≥7 (p=0.020).
Conclusion: Although MESS remains a valuable tool for decision-making in amputation, our findings suggest that a revised cut-off score of 8 may better reflect the current trauma management capabilities. This adjustment could enhance the predictive accuracy of MESS, facilitating more informed clinical decisions in severe limb trauma.