Background: The long-term prognostic associations of pre- and post-dialysis blood pressures, interdialytic weight gain, and antihypertensive use in hemodialysis patients are unclear.
Methods: The United States Renal Data System (USRDS) Dialysis Morbidity and Mortality Waves 3 and 4 Study, a randomly generated sample of 11,142 subjects receiving hemodialysis on December 31, 1993, was examined, with vital status followed until May 2000.
Results: Pre- and post-dialysis blood pressure values, interdialytic weight gain and number of antihypertensives averaged 151.8/79.7, 137.0/74, 3.6% and 0.76, respectively. Prognostic discrimination was maximized by considering pre- and post-systolic and diastolic blood pressure values simultaneously, in a pattern suggesting that wide pulse pressures were associated with mortality (P < 0.0001). Comorbidity adjustment markedly affected associations, with low pre-dialysis diastolic (P < 0.05), low post-dialysis dialysis diastolic pressure (P < 0.05), high post-dialysis dialysis systolic pressure (P < 0.05), and high interdialytic weight gains (P = 0.005) associated with mortality. Each class of antihypertensive drug, except angiotensin-converting enzyme (ACE)-inhibitors, was associated with lower mortality in unadjusted models, an effect most pronounced for beta-blockers (hazards ratio 0.72, 95% CI 0.66 to 0.79, P < 0.0001). Comorbidity adjustment eliminated survival associations for each antihypertensive class except beta-blockers.
Conclusions: Pre- and post-dialysis blood pressure values have independent associations with mortality, in a way that implicates wide pulse pressures. Much of the adverse prognosis of wide pulse pressures probably reflects older age and cardiovascular comorbidity. Large interdialytic weight gains are associated with shorter survival when comorbidity is taken into account. Beta-blocker use shows a robust association with survival, and may be protective.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1046/j.1523-1755.2002.00636.x | DOI Listing |
Hypertens Res
January 2025
Hypertension Center STRIDE-7, National and Kapodistrian University of Athens, School of Medicine, Third Department of Medicine, Sotiria Hospital, Athens, Greece.
Hypertens Res
January 2025
Department of Cardiovascular Medicine, Onga Nakama Medical Association Onga Hospital, Onga, Japan.
Hypertens Res
January 2025
Division of Internal Medicine, Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy.
Blood pressure (BP) variability (BPV) is an independent predictor of cardiovascular (CV) events. The role of BPV in defining risk of cancer therapy-related cardiovascular toxicity (CTR-CVT) is currently unknown. The aims of this study were: (i) to evaluate BPV in a population of patients with Multiple Myeloma, undergoing proteasome inhibitors therapy; (ii) to assess the predictive value of BPV for CTR-CVT; (iii) to analyze clusters of subjects based on BPV.
View Article and Find Full Text PDFHypertens Res
January 2025
Department of Precision Nutrition for Dairy Foods, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
The prevalence of hypertension in Japan remains high, owing to the high salt content of the typical Japanese diet. Dairy-based foods may reduce blood pressure and hypertension risk. However, dairy consumption is low in Japan, and the relationships between dairy intake and blood pressure or the mechanisms by which dairy products affect blood pressure are not fully understood.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Weill Cornell Medical College, Weill Cornell Division of General Internal Medicine, New York, NY, USA.
Background: Black people are more likely to have hypertension and report lower quality of care than White people. Patient-provider race concordance could improve perceived quality of care, potentially lessening disparities.
Objective: Investigate the association between patient-provider race concordance and patient-perceived quality of chronic disease care, as measured by the Patient Assessment of Chronic Illness Care (PACIC) scale.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!