Janaka Weragoda, Rohini Seneviratne, Manuj C Weerasinghe, S M Wijeyaratne
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引用次数: 0
摘要
背景。在斯里兰卡的流行病学研究中,尚未将 ABPI 用作检测外周动脉疾病 (PAD) 的筛查工具。本研究旨在确定检测斯里兰卡人群 PAD 的 ABPI 最佳临界值。方法。以 165 名转诊至斯里兰卡国立医院血管实验室的患者为对象,通过动脉多普勒测量 ABPI 来检测 PAD,并将彩色双相扫描作为标准进行验证。对所有入选者进行了 ABPI 测量和下肢彩色双相扫描。下肢动脉管腔直径缩小 50%或以上被视为血流动力学意义重大,并患有 PAD。ABPI 的判别性能是通过接收器特性曲线(ROC)和计算曲线下面积(AUC)来评估的。确定了 ABPI 不同阈值水平的敏感性和特异性,以及检测 PAD 的最佳 ABPI 临界值。结果。ABPI 0.89 被确定为识别 PAD 患者的最佳临界值。在此 ABPI 水平下,可观察到较高的灵敏度(87%)、特异性(99.1%)、阳性预测值(98.9%)和阴性预测值(88.4%)。结论ABPI ≤ 0.89 可作为检测 PAD 的最佳临界值。
ABPI against Colour Duplex Scan: A Screening Tool for Detection of Peripheral Arterial Disease in Low Resource Setting Approach to Validation.
Background. In Sri Lanka the ABPI has not been used as a screening tool to detect peripheral arterial disease (PAD) in epidemiological studies. This study was conducted to determine the best cutoff value of ABPI to detect PAD in Sri Lankan population. Methods. The ABPI measured by arterial Doppler to detect PAD was validated against colour duplex scan as the criterion using 165 individuals referred to vascular laboratory, National Hospital Sri Lanka. In all selected individuals ABPI was measured and lower limb colour duplex scan was performed. Narrowing of luminal diameter of lower limb arteries 50% or more was considered as haemodynamically significant and having PAD. The discriminative performance of the ABPI was assessed using Receiver Operator Characteristic (ROC) curve and calculating the area under the curve (AUC). The sensitivity and specificity of different threshold levels of ABPI and the best cutoff value of ABPI to detect PAD were determined. Results. ABPI 0.89 was determined as the best cutoff value to identify individuals with PAD. At this level of ABPI high sensitivity (87%), specificity (99.1%), positive predictive value (98.9%), and negative predictive value (88.4%) were observed. Conclusion. ABPI ≤ 0.89 could be used as the best cut off value to detect PAD.