Patterns and predictors of statin prescription in patients with type 2 diabetes.
BACKGROUND
The benefit of statins for prevention of cardiovascular events in type 2 diabetes is established, but a gap exists between guideline recommendations and clinical practice. The aim of the study was to identify patient-related factors predicting statin prescription.


METHODS
We assessed the quality of care in 51,640 patients with type 2 diabetes in a German diabetes registry. Patients were stratified according to primary and secondary prevention. Five-year risk for cardiovascular events was calculated in primary prevention patients. A multivariate adjusted logistic regression model was constructed to determine which parameters influenced statin prescription.


RESULTS
34% had established atherosclerotic disease and 25.5% received a statin. Prescription was significantly higher in the secondary compared to the primary prevention group (38.1% [95% CI 37.4-38.9%] vs. 18.5% [95% CI 18.0-19.0%], respectively). In primary prevention the odds for statin prescription increased with estimated cardiovascular risk (OR 1.17 per 5% increase in 5-year risk, 95% CI 1.11-1.22). Positive predictors for statin prescription were secondary prevention, hypertension, former smoking, baseline LDL-cholesterol, and microalbuminuria. The odds of receiving a statin had an inverted U-shaped relation with age (nadir, 66 years), age at first diagnosis of diabetes (nadir, 56 years), and body mass index (nadir, 32 kg/m2). The model predicted prescription in 70% of the patients correctly.


CONCLUSIONS
The majority of patients with type 2 diabetes are not receiving statins. The predominant factors determining statin prescription are the patient's prevention status and, in primary prevention, estimated cardiovascular risk. The results suggest that although physicians are aware of the general concept of cardiovascular risk, they fail to consistently implement guidelines.
Berthold
Heiner K
HK
Charité University Medicine Berlin, Virchow Clinic Campus, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany. heiner.berthold@charite.de
Gouni-Berthold
Ioanna
I
Böhm
Michael
M
Krone
Wilhelm
W
Bestehorn
Kurt P
KP
D000368:Aged; D000419:Albuminuria / Q000188:drug therapy / Q000517:prevention & control; D050197:Atherosclerosis / Q000188:drug therapy / Q000517:prevention & control; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000188:drug therapy / Q000517:prevention & control; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000188:drug therapy* / Q000473:pathology; D003925:Diabetic Angiopathies / Q000188:drug therapy / Q000517:prevention & control; D005260:Female; D005858:Germany; D006801:Humans; D019161:Hydroxymethylglutaryl-CoA Reductase Inhibitors / Q000627:therapeutic use*; D006937:Hypercholesterolemia / Q000188:drug therapy / Q000517:prevention & control; D006973:Hypertension / Q000188:drug therapy / Q000517:prevention & control; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D017410:Practice Guidelines as Topic; D012307:Risk Factors
D019161:Hydroxymethylglutaryl-CoA Reductase Inhibitors