Ndlovu Sebastian, Naqshband Mumraiz, Masunda Stanley, Ndlovu Kudzayi, Chettiar Krissen, Anugraha Anoop
Darent Valley Hospital, Dartford, Kent, UK.
Queen Mary University of London, London, UK.
Bone Joint J. 2023 Jan;105-B(1):21-28. doi: 10.1302/0301-620X.105B1.BJJ-2022-0934.R1.
Clinical management of open fractures is challenging and frequently requires complex reconstruction procedures. The Gustilo-Anderson classification lacks uniform interpretation, has poor interobserver reliability, and fails to account for injuries to musculotendinous units and bone. The Ganga Hospital Open Injury Severity Score (GHOISS) was designed to address these concerns. The major aim of this review was to ascertain the evidence available on accuracy of the GHOISS in predicting successful limb salvage in patients with mangled limbs.
We searched electronic data bases including PubMed, CENTRAL, EMBASE, CINAHL, Scopus, and Web of Science to identify studies that employed the GHOISS risk tool in managing complex limb injuries published from April 2006, when the score was introduced, until April 2021. Primary outcome was the measured sensitivity and specificity of the GHOISS risk tool for predicting amputation at a specified threshold score. Secondary outcomes included length of stay, need for plastic surgery, deep infection rate, time to fracture union, and functional outcome measures. Diagnostic test accuracy meta-analysis was performed using a random effects bivariate binomial model.
We identified 1,304 records, of which six prospective cohort studies and two retrospective cohort studies evaluating a total of 788 patients were deemed eligible for inclusion. A diagnostic test meta-analysis conducted on five cohort studies, with 474 participants, showed that GHOISS at a threshold score of 14 has a pooled sensitivity of 93.4% (95% confidence interval (CI) 78.4 to 98.2) and a specificity of 95% (95% CI 88.7 to 97.9) for predicting primary or secondary amputations in people with complex lower limb injuries.
GHOISS is highly accurate in predicting success of limb salvage, and can inform management and predict secondary outcomes. However, there is a need for high-quality multicentre trials to confirm these findings and investigate the effectiveness of the score in children, and in predicting secondary amputations.Cite this article: 2023;105-B(1):21-28.
开放性骨折的临床管理具有挑战性,通常需要复杂的重建手术。 Gustilo-Anderson分类缺乏统一的解释,观察者间可靠性差,并且没有考虑到肌腱单位和骨骼的损伤。 甘加医院开放性损伤严重程度评分(GHOISS)旨在解决这些问题。 本综述的主要目的是确定关于GHOISS在预测严重肢体损伤患者肢体挽救成功方面准确性的现有证据。
我们检索了包括PubMed、CENTRAL、EMBASE、CINAHL、Scopus和Web of Science在内的电子数据库,以识别自2006年4月该评分推出至2021年4月期间在管理复杂肢体损伤中使用GHOISS风险工具的研究。主要结局是GHOISS风险工具在指定阈值评分下预测截肢的测量敏感性和特异性。次要结局包括住院时间、整形手术需求、深部感染率、骨折愈合时间和功能结局指标。使用随机效应双变量二项式模型进行诊断试验准确性的荟萃分析。
我们识别出1304条记录,其中六项前瞻性队列研究和两项回顾性队列研究共评估了788例患者,被认为符合纳入标准。对五项队列研究(474名参与者)进行的诊断试验荟萃分析表明,GHOISS阈值评分为14时,预测复杂下肢损伤患者一期或二期截肢的合并敏感性为93.4%(95%置信区间(CI)78.4至98.2),特异性为95%(95%CI 88.7至97.9)。
GHOISS在预测肢体挽救成功方面高度准确,可指导管理并预测次要结局。然而,需要高质量的多中心试验来证实这些发现,并研究该评分在儿童中的有效性以及预测二期截肢的情况。引用本文:2023;105-B(1):21-28。