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Is the physician's behavior in dyslipidemia diagnosis in accordance with guidelines? Cross-sectional ESCARVAL study
Antonio Palazón-Bru1, Vicente F Gil-Guillén1, Domingo Orozco-Beltrán1
1Department of Clinical Medicine, Miguel Hernández University, Alicante, Spain.
Insights
Clinical inertia in diagnosing dyslipidemia is common, affecting diagnosis with total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-c). Addressing inertia is crucial for comprehensive cardiovascular risk management.
Area of Science:
- Cardiology
- Clinical Practice
- Public Health
Background:
- Clinical inertia, defined as delays or failures in treatment initiation or intensification, can impact various healthcare stages, including diagnosis.
- Previous analyses of clinical inertia in dyslipidemia diagnosis primarily focused on total cholesterol (TC) alone.
- A comprehensive understanding requires evaluating inertia using both TC and high-density lipoprotein cholesterol (HDL-c).
Purpose of the Study:
- To determine the prevalence of clinical inertia in dyslipidemia diagnosis using both TC and HDL-c.
- To identify factors associated with clinical inertia in dyslipidemia diagnosis.
Main Methods:
- A cross-sectional study was conducted.
- Data included 11,386 non-dyslipidemic individuals aged 20 years or older with at least two lipid measurements.
- The study analyzed health center visits in the Valencian Community, Spain, during the second half of 2010.
Main Results:
- TC inertia was observed in 38.0% of individuals, HDL-c inertia in 17.7%, and combined inertia in 9.6%.
- TC inertia was associated with females, middle/advanced age, and absence of cardiovascular risk factors/disease.
- HDL-c inertia was linked to females, cardiovascular risk factors, and cardiovascular disease; combined inertia with females, hypertension, and middle age.
Conclusions:
- Clinical inertia in dyslipidemia diagnosis is prevalent, particularly when considering both TC and HDL-c.
- A proactive approach is needed in clinical practice for comprehensive dyslipidemia diagnosis.
- Emphasis should be placed on patients with low HDL-c and elevated cardiovascular risk.
Background:
Clinical inertia has been defined as mistakes by the physician in starting or intensifying treatment when indicated. Inertia, therefore, can affect other stages in the healthcare process, like diagnosis. The diagnosis of dyslipidemia requires ≥2 high lipid values, but inappropriate behavior in the diagnosis of dyslipidemia has only previously been analyzed using just total cholesterol (TC).
Objectives:
To determine clinical inertia in the dyslipidemia diagnosis using both TC and high-density lipoprotein cholesterol (HDL-c) and its associated factors.
Design:
Cross-sectional.
Setting:
All health center visits in the second half of 2010 in the Valencian Community (Spain).
Patients:
11,386 nondyslipidemic individuals aged ≥20 years with ≥2 lipid determinations.
Measurement Variables:
Gender, atrial fibrillation, hypertension, diabetes, cardiovascular disease, age, and ESCARVAL training course. Lipid groups: normal (TC<5.17 mmol/L and normal HDL-c [≥1.03 mmol/L in men and ≥1.29 mmol/L in women], TC inertia (TC≥5.17 mmol/L and normal HDL-c), HDL-c inertia (TC<5.17 mmol/L and low HDL-c), and combined inertia (TC≥5.17 mmol/L and low HDL-c).
Results:
TC inertia: 38.0% (95% CI: 37.2-38.9%); HDL-c inertia: 17.7% (95% CI: 17.0-18.4%); and combined inertia: 9.6% (95% CI: 9.1-10.2%). The profile associated with TC inertia was: female, no cardiovascular risk factors, no cardiovascular disease, middle or advanced age; for HDL-c inertia: female, cardiovascular risk factors and cardiovascular disease; and for combined inertia: female, hypertension and middle age.
Limitations:
Cross-sectional study, under-reporting, no analysis of some cardiovascular risk factors or other lipid parameters.
Conclusions:
A more proactive attitude should be adopted, focusing on the full diagnosis of dyslipidemia in clinical practice. Special emphasis should be placed on patients with low HDL-c levels and an increased cardiovascular risk.
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