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首页> 外文期刊>Wound repair and regeneration: official publication of the Wound Healing Society [and] the European Tissue Repair Society >The value of a wound score for diabetic foot infections in predicting treatment outcome: a prospective analysis from the SIDESTEP trial.
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The value of a wound score for diabetic foot infections in predicting treatment outcome: a prospective analysis from the SIDESTEP trial.

机译:对糖尿病足伤口分数的价值感染预测治疗效果:一个从回避审判前瞻性分析。

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Scoring the severity of a diabetic foot wound infection may help assess the severity, determine the type and urgency of antibiotic and surgical treatment needed, and predict clinical outcomes. We developed a 10-item diabetic foot infection wound score (results could range from 3 to 49 [least to most severe]) incorporating semi-quantitative grading of both wound measurements and various infection parameters. Using data from a prospective diabetic foot infection antibiotic trial (SIDESTEP), we evaluated the score's accuracy in predicting outcome, analyzed its components and tested it for consistency, construct, and validity. Wound scores for 371 patients significantly correlated with the clinical response; it was favorable at the follow-up assessment in 94.8% with a baseline score 19. Scores demonstrated good internal consistency (Cronbach's alpha >0.70 to <0.95). Patients with more severe wounds had higher scores, supporting construct validity. Excluding scores for wound discharge (purulent and nonpurulent), leaving an eight-item score, provided better measurement statistics. This easily performed wound score appears to be a reliable, valid, and useful tool for predicting clinical outcomes. Further validation studies in different patient populations should refine the items included.
机译:糖尿病足伤口的严重性感染可能有助于评估严重程度,确定抗生素和手术的类型和紧迫性治疗需要,预测临床结果。我们开发了一个问题的糖尿病足感染伤口分数(结果可能范围从3 - 49(至少对最严重的))合并半定量评分的伤口测量参数和各种感染。使用数据从一个潜在的糖尿病足感染抗生素试验(回避)在预测评估分数的准确性结果,分析其组件和测试它为了一致性,构造和有效性。分数为371名患者显著相关临床反应;后续评估与基准94.8%分数 19。成绩证明了良好的内部一致性(克伦巴赫α 0.70)。更严重的伤口有更高的分数,支持建构效度。放电(化脓性和nonpurulent),留下一个项得分,提供更好的测量统计数据。似乎是一个可靠的、有效的和有用的工具为预测临床结果。在不同的患者验证研究人口应该细化项目包括在内。

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