Maximilian Peter Forssten, Bruno Coimbra, Mary Matecki, Saundra Godshall, Yang Cao, Shahin Mohseni, Babak Sarani
{"title":"MangLE 评分:一种新型简便工具,用于识别严重下肢损伤后不太可能需要截肢的患者。","authors":"Maximilian Peter Forssten, Bruno Coimbra, Mary Matecki, Saundra Godshall, Yang Cao, Shahin Mohseni, Babak Sarani","doi":"10.1097/TA.0000000000004453","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>There are no validated and sensitive models that can guide the decision regarding amputation in patients with mangled lower extremities. We sought to describe a simple scoring model, the Mangled Lower Extremity (MangLE) score, which can predict those who are highly unlikely to need an amputation as a means to direct resources to this cohort.</p><p><strong>Methods: </strong>This is a retrospective study using the 2013-2021 American College of Surgeons Trauma Quality Improvement Program data set. Adult patients with a mangled lower extremity, defined as a crush injury or a fracture of the femur or tibia combined with severe soft tissue injury, arterial injury, or nerve injury, were included. Patients who suffered a traumatic lower extremity amputation, underwent amputation within 24 hours of admission, or who died within 24 hours of admission were excluded. Patients were divided into those who did/did not undergo amputation during their hospital stay. Demographics, injury mechanism, Injury Severity Score, and Abbreviated Injury Scale score, initial vital signs, and comorbid conditions were abstracted. A logistic regression model was constructed and the top five most important variables were used to create the score.</p><p><strong>Results: </strong>The study includes 107,620 patients, of whom 2,711 (2.5%) underwent amputation. The five variables with the highest predictive value for amputation were arterial injury, lower-extremity Abbreviated Injury Scale score of ≥3, crush injury, blunt mechanism, and shock index. The lowest possible MangLE score was 0, and the highest was 15. The model demonstrated an excellent predictive ability for lower extremity amputation in both the development and validation data set with an area under the receiver operating characteristic curve of 0.81 (95% confidence interval, 0.80-0.82) and 0.82 (95% confidence interval, 0.81-0.84), respectively. The negative predictive value for a score of <8 is 99%.</p><p><strong>Conclusion: </strong>The MangLE score is able to identify patients who are unlikely to require amputation. Resources for limb salvage can be directed to this cohort.</p><p><strong>Level of evidence: </strong>Prospective and Epidemiologic; Level IV.</p>","PeriodicalId":17453,"journal":{"name":"Journal of Trauma and Acute Care Surgery","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The MangLE score: A novel simple tool to identify patients who are unlikely to require amputation following severe lower extremity injury.\",\"authors\":\"Maximilian Peter Forssten, Bruno Coimbra, Mary Matecki, Saundra Godshall, Yang Cao, Shahin Mohseni, Babak Sarani\",\"doi\":\"10.1097/TA.0000000000004453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>There are no validated and sensitive models that can guide the decision regarding amputation in patients with mangled lower extremities. We sought to describe a simple scoring model, the Mangled Lower Extremity (MangLE) score, which can predict those who are highly unlikely to need an amputation as a means to direct resources to this cohort.</p><p><strong>Methods: </strong>This is a retrospective study using the 2013-2021 American College of Surgeons Trauma Quality Improvement Program data set. Adult patients with a mangled lower extremity, defined as a crush injury or a fracture of the femur or tibia combined with severe soft tissue injury, arterial injury, or nerve injury, were included. Patients who suffered a traumatic lower extremity amputation, underwent amputation within 24 hours of admission, or who died within 24 hours of admission were excluded. Patients were divided into those who did/did not undergo amputation during their hospital stay. Demographics, injury mechanism, Injury Severity Score, and Abbreviated Injury Scale score, initial vital signs, and comorbid conditions were abstracted. A logistic regression model was constructed and the top five most important variables were used to create the score.</p><p><strong>Results: </strong>The study includes 107,620 patients, of whom 2,711 (2.5%) underwent amputation. The five variables with the highest predictive value for amputation were arterial injury, lower-extremity Abbreviated Injury Scale score of ≥3, crush injury, blunt mechanism, and shock index. The lowest possible MangLE score was 0, and the highest was 15. The model demonstrated an excellent predictive ability for lower extremity amputation in both the development and validation data set with an area under the receiver operating characteristic curve of 0.81 (95% confidence interval, 0.80-0.82) and 0.82 (95% confidence interval, 0.81-0.84), respectively. The negative predictive value for a score of <8 is 99%.</p><p><strong>Conclusion: </strong>The MangLE score is able to identify patients who are unlikely to require amputation. Resources for limb salvage can be directed to this cohort.</p><p><strong>Level of evidence: </strong>Prospective and Epidemiologic; Level IV.</p>\",\"PeriodicalId\":17453,\"journal\":{\"name\":\"Journal of Trauma and Acute Care Surgery\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Trauma and Acute Care Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/TA.0000000000004453\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Trauma and Acute Care Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/TA.0000000000004453","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
The MangLE score: A novel simple tool to identify patients who are unlikely to require amputation following severe lower extremity injury.
Background: There are no validated and sensitive models that can guide the decision regarding amputation in patients with mangled lower extremities. We sought to describe a simple scoring model, the Mangled Lower Extremity (MangLE) score, which can predict those who are highly unlikely to need an amputation as a means to direct resources to this cohort.
Methods: This is a retrospective study using the 2013-2021 American College of Surgeons Trauma Quality Improvement Program data set. Adult patients with a mangled lower extremity, defined as a crush injury or a fracture of the femur or tibia combined with severe soft tissue injury, arterial injury, or nerve injury, were included. Patients who suffered a traumatic lower extremity amputation, underwent amputation within 24 hours of admission, or who died within 24 hours of admission were excluded. Patients were divided into those who did/did not undergo amputation during their hospital stay. Demographics, injury mechanism, Injury Severity Score, and Abbreviated Injury Scale score, initial vital signs, and comorbid conditions were abstracted. A logistic regression model was constructed and the top five most important variables were used to create the score.
Results: The study includes 107,620 patients, of whom 2,711 (2.5%) underwent amputation. The five variables with the highest predictive value for amputation were arterial injury, lower-extremity Abbreviated Injury Scale score of ≥3, crush injury, blunt mechanism, and shock index. The lowest possible MangLE score was 0, and the highest was 15. The model demonstrated an excellent predictive ability for lower extremity amputation in both the development and validation data set with an area under the receiver operating characteristic curve of 0.81 (95% confidence interval, 0.80-0.82) and 0.82 (95% confidence interval, 0.81-0.84), respectively. The negative predictive value for a score of <8 is 99%.
Conclusion: The MangLE score is able to identify patients who are unlikely to require amputation. Resources for limb salvage can be directed to this cohort.
Level of evidence: Prospective and Epidemiologic; Level IV.
期刊介绍:
The Journal of Trauma and Acute Care Surgery® is designed to provide the scientific basis to optimize care of the severely injured and critically ill surgical patient. Thus, the Journal has a high priority for basic and translation research to fulfill this objectives. Additionally, the Journal is enthusiastic to publish randomized prospective clinical studies to establish care predicated on a mechanistic foundation. Finally, the Journal is seeking systematic reviews, guidelines and algorithms that incorporate the best evidence available.