BACKGROUND: Adherence is paramount in treating hypertension; however, no gold standard method is available for non-adherence screening, delineating high-risk patients. An International Classification of Diseases 9th Edition non-adherence diagnostic code (V15.81) has been available for decades; but, its utility is poorly studied. We examined the association between the V15.81 code assigned prior to the initiation of anti-hypertensive drugs (AHDs) and renal and cardiovascular outcomes. METHODS: This was a historical prospective cohort study involving 312,489 newly treated hypertensive individuals (mean age 53.8 years, 90.9% males, 20.3% black, median follow-up 8.0 years). We used crude and Cox models adjusted for baseline socio-demographic characteristics, estimated glomerular filtration rate (eGFR), body mass index, blood pressure, comorbidities, and prospective AHD adherence (measured as proportion of days covered, PDC). RESULTS: In the unadjusted analysis, the V15.81 code was associated with higher risks for faster eGFR decline (hazard ratio, HR 1.22, 95% CI 1.11-1.33), incident CKD (HR 1.17, 95% CI 1.09-1.27), end-stage renal disease (ESRD) (HR 2.53, 95% CI 1.72-3.72), incident coronary artery disease (CAD) (HR 1.26, 95% CI 1.15-1.38), and stroke (HR 1.55, 95% CI 1.38-1.73). In the adjusted model, the V15.81 code remained predictive of increased risk of CKD (HR 1.33, 95% CI 1.22-1.45), ESRD (HR 1.81, 95% CI 1.18-2.78), incident CAD (HR 1.26, 95% CI 1.14-1.40), and stroke (HR 1.46, 95% CI 1.29-1.65). Additional adjustment for PDC did not alter adverse associations between V15.81 code and studied outcomes. CONCLUSIONS: Assignment of V15.81 code prior to AHD therapy was associated with higher risks of renal and cardiovascular outcomes in incident hypertensive US veterans. Previous history of non-adherence is a poor prognostic marker in hypertensive individuals; therefore, patients with V15.81 code may require close monitoring. The observational nature of this study limits our ability to make firm recommendations for clinical practice.
BACKGROUND: Adherence is paramount in treating hypertension; however, no gold standard method is available for non-adherence screening, delineating high-risk patients. An International Classification of Diseases 9th Edition non-adherence diagnostic code (V15.81) has been available for decades; but, its utility is poorly studied. We examined the association between the V15.81 code assigned prior to the initiation of anti-hypertensive drugs (AHDs) and renal and cardiovascular outcomes. METHODS: This was a historical prospective cohort study involving 312,489 newly treated hypertensive individuals (mean age 53.8 years, 90.9% males, 20.3% black, median follow-up 8.0 years). We used crude and Cox models adjusted for baseline socio-demographic characteristics, estimated glomerular filtration rate (eGFR), body mass index, blood pressure, comorbidities, and prospective AHD adherence (measured as proportion of days covered, PDC). RESULTS: In the unadjusted analysis, the V15.81 code was associated with higher risks for faster eGFR decline (hazard ratio, HR 1.22, 95% CI 1.11-1.33), incident CKD (HR 1.17, 95% CI 1.09-1.27), end-stage renal disease (ESRD) (HR 2.53, 95% CI 1.72-3.72), incident coronary artery disease (CAD) (HR 1.26, 95% CI 1.15-1.38), and stroke (HR 1.55, 95% CI 1.38-1.73). In the adjusted model, the V15.81 code remained predictive of increased risk of CKD (HR 1.33, 95% CI 1.22-1.45), ESRD (HR 1.81, 95% CI 1.18-2.78), incident CAD (HR 1.26, 95% CI 1.14-1.40), and stroke (HR 1.46, 95% CI 1.29-1.65). Additional adjustment for PDC did not alter adverse associations between V15.81 code and studied outcomes. CONCLUSIONS: Assignment of V15.81 code prior to AHD therapy was associated with higher risks of renal and cardiovascular outcomes in incident hypertensive US veterans. Previous history of non-adherence is a poor prognostic marker in hypertensive individuals; therefore, patients with V15.81 code may require close monitoring. The observational nature of this study limits our ability to make firm recommendations for clinical practice.
Authors: Csaba P Kovesdy; Anthony J Bleyer; Miklos Z Molnar; Jennie Z Ma; John J Sim; William C Cushman; L Darryl Quarles; Kamyar Kalantar-Zadeh Journal: Ann Intern Med Date: 2013-08-20 Impact factor: 25.391
Authors: Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; Michael J Blaha; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Rachel H Mackey; David J Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Robert W Neumar; Graham Nichol; Dilip K Pandey; Nina P Paynter; Matthew J Reeves; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner Journal: Circulation Date: 2013-12-18 Impact factor: 29.690
Authors: Elvira O Gosmanova; Jun L Lu; Elani Streja; William C Cushman; Kamyar Kalantar-Zadeh; Csaba P Kovesdy Journal: Hypertension Date: 2014-08-04 Impact factor: 10.190
Authors: Csaba P Kovesdy; Jun L Lu; Miklos Z Molnar; Jennie Z Ma; Robert B Canada; Elani Streja; Kamyar Kalantar-Zadeh; Anthony J Bleyer Journal: JAMA Intern Med Date: 2014-09 Impact factor: 21.873
Authors: Louise Roy; Brian White-Guay; Marc Dorais; Alice Dragomir; Myriam Lessard; Sylvie Perreault Journal: Kidney Int Date: 2013-05-22 Impact factor: 10.612
Authors: Elvira O Gosmanova; Margit K Mikkelsen; Miklos Z Molnar; Jun L Lu; Lenar T Yessayan; Kamyar Kalantar-Zadeh; Csaba P Kovesdy Journal: J Am Coll Cardiol Date: 2016-09-27 Impact factor: 24.094