AIM: To evaluate the effect of a cardio-renal screening programme on desired and undue drug use. METHODS: Data from the PREVEND cohort (Prevention of REnal and Vascular ENd-stage Disease) were used. The drug use of screened (randomly) selected subjects (n = 2650) was compared with unscreened subjects, matched for age and sex (n = 10 434). Drug use in the overall PREVEND cohort, enriched for albuminuria (n = 6751), was also studied. Screening-related drugs (antihypertensive, antilipidaemic, antidiabetic and antithrombotic) were selected, as well as screening-unrelated drugs (benzodiazepines, drugs for acid-related disorders and painkillers). Time to first prescription after screening is presented as Kaplan-Meier curves. RESULTS: After 6.5 years of follow-up, the incidence of drug use was not significantly different between the screened, randomly selected and unscreened cohorts. Antihypertensives were used by 21.5 and 20.8%, respectively; antilipidaemic 12.8 and 10.2%, antidiabetics 4.0 and 3.9%, and antithrombotic 11.4 and 12.0%. Screening-unrelated drugs were used at comparable frequencies. Compared with the unscreened cohort, screening-related drugs were prescribed more frequently for subjects in the enriched cohort (25.8, 15.5, 5.5 and 13.5% for antihypertensive, antilipidaemic, antidiabetic and antithrombotic, respectively), whereas screening-unrelated drugs were used at comparable frequencies. CONCLUSIONS: The incidence of drug use did not differ between the screened, randomly selected and unscreened cohorts. Screening does not lead to more drug prescription, thus arguing against the fear of undue medicalization after screening. The data also show that, for screening to be successful, it should be performed in a targeted population, such as one enriched for albuminuria.
AIM: To evaluate the effect of a cardio-renal screening programme on desired and undue drug use. METHODS: Data from the PREVEND cohort (Prevention of REnal and Vascular ENd-stage Disease) were used. The drug use of screened (randomly) selected subjects (n = 2650) was compared with unscreened subjects, matched for age and sex (n = 10 434). Drug use in the overall PREVEND cohort, enriched for albuminuria (n = 6751), was also studied. Screening-related drugs (antihypertensive, antilipidaemic, antidiabetic and antithrombotic) were selected, as well as screening-unrelated drugs (benzodiazepines, drugs for acid-related disorders and painkillers). Time to first prescription after screening is presented as Kaplan-Meier curves. RESULTS: After 6.5 years of follow-up, the incidence of drug use was not significantly different between the screened, randomly selected and unscreened cohorts. Antihypertensives were used by 21.5 and 20.8%, respectively; antilipidaemic 12.8 and 10.2%, antidiabetics 4.0 and 3.9%, and antithrombotic 11.4 and 12.0%. Screening-unrelated drugs were used at comparable frequencies. Compared with the unscreened cohort, screening-related drugs were prescribed more frequently for subjects in the enriched cohort (25.8, 15.5, 5.5 and 13.5% for antihypertensive, antilipidaemic, antidiabetic and antithrombotic, respectively), whereas screening-unrelated drugs were used at comparable frequencies. CONCLUSIONS: The incidence of drug use did not differ between the screened, randomly selected and unscreened cohorts. Screening does not lead to more drug prescription, thus arguing against the fear of undue medicalization after screening. The data also show that, for screening to be successful, it should be performed in a targeted population, such as one enriched for albuminuria.
Authors: Taco B M Monster; Wilbert M T Janssen; Paul E de Jong; Lolkje T W de Jong-van den Berg Journal: Pharmacoepidemiol Drug Saf Date: 2002 Jul-Aug Impact factor: 2.890
Authors: B M B Goessens; F L J Visseren; J K Olijhoek; B C Eikelboom; Y van der Graaf Journal: Cardiovasc Drugs Ther Date: 2005-12 Impact factor: 3.727
Authors: Christopher J L Murray; Jeremy A Lauer; Raymond C W Hutubessy; Louis Niessen; Niels Tomijima; Anthony Rodgers; Carlene M M Lawes; David B Evans Journal: Lancet Date: 2003-03-01 Impact factor: 79.321
Authors: Jarir Atthobari; Taco B M Monster; Paul E de Jong; Lolkje T W de Jong-van den Berg Journal: Br J Clin Pharmacol Date: 2004-03 Impact factor: 4.335