Loading…
SmartLab 2.0 in cardiovascular prevention of atherogenic dyslipidemia
SmartLab 2.0 is an innovative concept of multidisciplinary collaboration between the clinical laboratory and the diabetes day unit that was born with the aim of identifying patients at high cardiovascular risk who require priority attention, such as patients with atherogenic dyslipidemia, in order t...
Saved in:
Published in: | Clínica e investigación en arteriosclerosis (Internet, English ed.) English ed.), 2023-05, Vol.35 (3), p.123-128 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | SmartLab 2.0 is an innovative concept of multidisciplinary collaboration between the clinical laboratory and the diabetes day unit that was born with the aim of identifying patients at high cardiovascular risk who require priority attention, such as patients with atherogenic dyslipidemia, in order to create a cardiovascular prevention strategy.
Implementation in the Laboratory Information System (LIS) of an automated biochemical algorithm for the identification of patients with atherogenic dyslipidemia in routine analyses and priority referral to the diabetes day unit.
The algorithm designed in the SIL was: HBA1c>9.3+TG>150mg/dl+HDLc9.3 were referred to the diabetes day hospital.
Reinforcement of cardiovascular prevention is necessary at all levels. The clinical laboratory should play a fundamental role in the diagnosis of dyslipidemias. Early detection of patients at high cardiovascular risk is essential and collaboration between the different clinical units is fundamental to guarantee patient safety.
El SmartLab 2.0 es un concepto innovador de colaboración multidisciplinar entre el laboratorio clínico y la unidad de día de diabetes que nace con el objetivo de identificar a pacientes de alto riesgo cardiovascular que requieran una atención prioritaria, como son los pacientes que presentan dislipemia aterogénica, con el fin de crear una estrategia de prevención cardiovascular.
Implementación en el sistema informático de laboratorio (SIL) de un algoritmo bioquímico automatizado para la identificación en analíticas de rutina de pacientes con dislipemia aterogénica y derivación prioritaria a la unidad de día de diabetes.
Se diseñó en el SIL el algoritmo: HBA1c>9,3+TG>150mg/dl+cHDL |
---|---|
ISSN: | 2529-9123 2529-9123 |
DOI: | 10.1016/j.artere.2023.05.009 |