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非空腹血脂谱评估脂蛋白冠状动脉风险的准确性。

Accuracy of Non-Fasting Lipid Profile for the Assessment of Lipoprotein Coronary Risk.

作者信息

Fatima Safia, Ijaz Aamir, Sharif Tariq Bin, Khan Dilshad Ahmad, Siddique Amer

机构信息

Department of Chemical Pathology and Endocrinology, AFIP, Rawalpindi. (National University of Medical Sciences, Islamabad).

出版信息

J Coll Physicians Surg Pak. 2016 Dec;26(12):954-957.

PMID:28043305
Abstract

OBJECTIVE

To determine the diagnostic accuracy of non-fasting lipid profile in the diagnosis of hyperlipidemia, taking fasting lipid profile as gold standard, in adult population.

STUDY DESIGN

Cross-sectional validation study.

PLACE AND DURATION OF STUDY

Department of Chemical Pathology and Endocrinology, Armed Forces Institute of Pathology, Rawalpindi, from July to December 2014.

METHODOLOGY

One hundred seventy-five adult patients coming for fasting lipid profile were included; their non-fasting samples were taken on the next day. Patients on anti-cholesterol treatment and indoor patients were excluded. Total cholesterol (TC), high density lipoprotein-cholestrol (HDL-C), and triglycerides were measured by direct enzymatic colorimetric method by Modular p-800®. Low density lipoprotein-cholesterol (LDL-C) was calculated by Friedewald's formula, but when triglyceride was greater than 4.5 mmol/l, then LDL-C was measured directly by homogenous enzymatic colorimetric method. Non-HDL-C was calculated by simple equation, i.e. TC-HDL-C.

RESULTS

Non-fasting lipid profile had 93% specificity , 51% sensitivity, 94% positive predictive value and 49% negative predictive value; and 65% accuracy with 7.28 positive likelihood ratio and 0.52 negative likelihood ratio. Non-fasting TC and non-HDL-C were significantly higher than fasting TC and non-HDL-C by mean difference of 0.2 mmol/l each with p=0.001 and p=0.004, respectively. Fasting and non fasting HDL-C are comparable to each other with mean difference of 0.01 mmol/l (p=0.745). Receiver operating curve (ROC) of non-fasting non-HDL-C showed 0.804 (95%CI (0.738-0.870), (p=0.000) area under the curve (AUC) indicating that it was a significant test for ruling out hyperlipidemia. Bland-Altmann plot showed a significant difference between non-fasting, non-HDL-C and fasting LDL-C and non-fasting, non-HDL-C -0.087540 with bias -0.00109; therefore, these cannot be alternative to each other.

CONCLUSION

Diagnostic accuracy of non-fasting lipid profile was found significantly higher than fasting lipid profile (p=0.004) for the assessment of lipoprotein coronary risk on the basis of non-HDL-C, which seemed to be significant test for ruling out hyperlipidemia.

摘要

目的

以空腹血脂谱作为金标准,确定非空腹血脂谱在成人群体中诊断高脂血症的诊断准确性。

研究设计

横断面验证研究。

研究地点和时间

2014年7月至12月,拉瓦尔品第武装部队病理研究所化学病理学和内分泌科。

方法

纳入175名前来进行空腹血脂谱检测的成年患者;在第二天采集他们的非空腹样本。排除接受抗胆固醇治疗的患者和住院患者。总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)和甘油三酯通过Modular p - 800®直接酶比色法测量。低密度脂蛋白胆固醇(LDL-C)通过Friedewald公式计算,但当甘油三酯大于4.5 mmol/l时,则通过均质酶比色法直接测量LDL-C。非高密度脂蛋白胆固醇(Non-HDL-C)通过简单公式计算,即TC - HDL-C。

结果

非空腹血脂谱的特异性为93%,敏感性为51%,阳性预测值为94%,阴性预测值为49%;准确性为65%,阳性似然比为7.28,阴性似然比为0.52。非空腹TC和非空腹Non-HDL-C显著高于空腹TC和空腹Non-HDL-C,平均差异分别为0.2 mmol/l,p值分别为0.001和0.004。空腹和非空腹HDL-C彼此相当,平均差异为0.01 mmol/l(p = 0.745)。非空腹Non-HDL-C的受试者工作特征曲线(ROC)显示曲线下面积(AUC)为0.804(95%CI(0.738 - 0.870),(p = 0.000),表明它是排除高脂血症的一项显著检测。Bland-Altmann图显示非空腹Non-HDL-C与空腹LDL-C之间存在显著差异,非空腹Non-HDL-C为-0.087540,偏差为-0.00109;因此,它们不能相互替代。

结论

基于非高密度脂蛋白胆固醇,在评估脂蛋白冠心病风险方面,发现非空腹血脂谱的诊断准确性显著高于空腹血脂谱(p = 0.004),非空腹血脂谱似乎是排除高脂血症的一项显著检测。

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