Litzelman D K, Marriott D J, Vinicor F
Health Services Research and Development Service, Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana, USA.
Diabetes Care. 1997 Aug;20(8):1273-8. doi: 10.2337/diacare.20.8.1273.
To identify and quantify independent physiological risk factors for foot lesions in diabetic patients.
There were 352 patients enrolled in a 1-year randomized controlled trial aimed at reducing risks for lower-extremity pathology through patient education and system interventions. Inclusion criteria were as follows: being age 40 years or over, being at or above ideal body weight, and having been diagnosed with NIDDM. Participants were predominantly African-American (76%), elderly (mean 60 years of age), indigent (77% with annual income < +10,000), or women (81%) who had diabetes for 10 years. Prospective multivariate modeling used baseline clinical signs (e.g., blood pressure, dermatological characteristics, and neuropathic measures) and laboratory values (e.g., lipid profiles and measures of glycemic control) to predict foot lesions rated using the Seattle Wound Classification.
When controlling for intervention effects, only measures of neuropathy (monofilament testing [odds ratio ¿OR¿ 2.75, 95% CI 1.55-4.88] and thermal sensitivity testing [2.18, 1.13-4.21]) predicted wounds classified 1.2 (minor injury), but investigation of wounds rated at least 1.3 (nonulcerated lesions) indicated baseline wounds (13.41), 3.19-56.26), monofilament abnormalities (5.23, 2.26-12.13), and low HDL (1.63, 1.11-2.39) as predictors. Although fungal dermatitis, dry cracked skin, edema, ingrown nails, microalbuminuria, fasting blood glucose, and hemoglobin A1c were candidates for one or both of the multivariable models (P < 0.3), they were not significant multivariate predictors.
Lesions may be preventable with aggressive screening for peripheral neuropathy and abnormal lipids. Also, these results provide empirical support for the commonly held belief that foot lesions prospectively predict future wounds.
识别并量化糖尿病患者足部病变的独立生理风险因素。
352名患者参与了一项为期1年的随机对照试验,该试验旨在通过患者教育和系统干预降低下肢病变风险。纳入标准如下:年龄40岁及以上,体重达到或超过理想体重,且已被诊断为非胰岛素依赖型糖尿病(NIDDM)。参与者主要为非裔美国人(76%)、老年人(平均年龄60岁)、贫困人口(77%年收入<10,000美元)或患有糖尿病10年的女性(81%)。前瞻性多变量建模使用基线临床体征(如血压、皮肤特征和神经病变测量)和实验室值(如血脂谱和血糖控制测量)来预测使用西雅图伤口分类法评定的足部病变。
在控制干预效果时,只有神经病变测量(单丝试验[优势比(OR)2.75,95%可信区间1.55 - 4.88]和热敏感性试验[2.18,1.13 - 4.21])可预测评定为1.2级(轻度损伤)的伤口,但对评定为至少1.3级(非溃疡病变)伤口的调查表明,基线伤口(13.41,3.19 - 56.26)、单丝异常(5.23,2.26 - 12.13)和低高密度脂蛋白(1.63,1.11 - 2.39)为预测因素。尽管真菌性皮炎、皮肤干裂、水肿、嵌甲、微量白蛋白尿、空腹血糖和糖化血红蛋白A1c是一个或两个多变量模型的候选因素(P < 0.3),但它们不是显著的多变量预测因素。
通过积极筛查周围神经病变和血脂异常,病变可能是可预防的。此外,这些结果为足部病变可前瞻性预测未来伤口这一普遍观点提供了实证支持。