Incorporation of biochemical parameters and diagnostic algorithms in the laboratory computer system for the early detection of lipid abnormalities from the lipid units

Abstract

IntroductionThe combination of biochemical markers, together with the design and implementation of diagnostic algorithms in laboratory computer systems could become very powerful tools in the stratification of cardiovascular risk. ObjectivesTo implement new biochemical markers and diagnostic algorithms not yet available, in order to provide an estimation of cardiovascular risk and the diagnostic orientation of lipid alterations. Material and methodsStudy of the implementation of Apolipoprotein B and Lipoprotein (a), as well as the inclusion of different diagnostic algorithms. This was carried out jointly by the different Lipid Units of the Spanish Society of Atherosclerosis, Hospital Virgen Macarena in Seville, Hospital Juan Ramon Jiménez, Hospital Infanta Elena, and Hospital de Rio Tinto during 2018 and 2019. ResultsThe four diagnostic algorithms entered into the Laboratory Information System (LIS), showed a total of 9985 patients with c-LDL >200 mg/dL. The diagnostic algorithm was extended to include Apo B, with 8182 determinations showing an Apolipoprotein B > 100 mg/dL). A total of 747 lipoprotein (a) were determined, of which 30.65% were >50 mg/dL. More than two-thirds (71.80%) showed results compatible with small and dense LDL particles. ConclusionsThe implementation of new analytical parameters and algorithms in Primary Care laboratory results can identify a considerable number of patients with different alterations in lipid metabolism. This, together with the classic risk factors, could contribute to a correct risk stratification in preventing the progression of CVD.