Agreement between laboratory results and on-site pathology testing using Bayer DCA2000+ and Cholestech LDX point-of-care methods in remote Australian Aboriginal communities

被引:57
作者
Shemesh, T
Rowley, KG
Shephard, M
Piers, LS
O'Dea, K
机构
[1] Univ Melbourne, St Vincents Hosp, Dept Med, Fitzroy, Vic 3065, Australia
[2] Royal Darwin Hosp, Menzies Sch Hlth Res, Darwin, NT, Australia
[3] Charles Darwin Univ, Inst Adv Studies, Darwin, NT, Australia
[4] Flinders Univ Rural Clin Sch, Community Point Of Care Serv, Adelaide, SA, Australia
基金
英国医学研究理事会;
关键词
point-of-care testing; Aboriginal people; diabetes; risk factor screening;
D O I
10.1016/j.cca.2005.11.014
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background: Indigenous Australians experience high risk of diabetes and cardiovascular disease. On-site pathology data can help identify those at risk. We sought to evaluate point-of-care (POC) analysers in remote Australian communities. Methods: Results obtained from population screening (n=76-118) on the DCA2000+((R)) and Cholestech LDX(R) analysers were compared to laboratory measures. Results were compared using parametric and non-parametric statistical analyses, including the use of conventional cutoff values for pathology markers. Results: Agreements (95% CI) between the two methods for categorising results according to the selected cut-off values ranged from 88% (77-94%) for HDL-C to 99% (92-100%) for glucose, and Kappa coefficients ranged from 0.668 for total cholesterol to 0.945 for glucose. Differences in median values were not clinically meaningful but were statistically significant (P < 0.05) for urinary albumin (18.8 [inter-quartile range: 7.5-41.7] vs. 18.0 [5.5-43.2] mg/L), creatinine (12.1 [7.9-17.1] vs. 12.4 [8.1-17.0] mmol/L) and albumin:creatinine ratio (ACR; 1.66 [0.70-3.53] vs. 1.27 [0.46-3.03] mg/mmol), HDL cholesterol (HDL-C; 1.05 [0.95-1.25] vs. 1.00 [0.81-1.20] mmol/L), triglycerides (1.65 [1.12-2.19] vs. 1.49 [1.07-2.36] mmol/L) and glucose (5.2 [4.5-6.0] vs. 5.2 [4.7-5.8] mmol/L), respectively, for POC and laboratory methods. Median HbA(1c) (5.6% [5.3-6.0%] vs. 5.5% [5.3-6.1%]) and total cholesterol (4.4 [3.8-5.0] vs. 4.4 [3.8-5.1] mmol/L) did not differ significantly. Bland-Altman analyses showed statistically significant (but not clinically meaningful) variation in the measurement difference across analyte concentration for all measures except ACR and total cholesterol. Conclusion: POC instruments provided a reliable alternative to conventional laboratory methods for screening for chronic disease risk factors in locations remote from urban centres. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:69 / 76
页数:8
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