Effect of patient gender on short-term blood pressure variability in hemodialysis patients.
Marieta P TheodorakopoulouMaria-Eleni AlexandrouArtemios G KaragiannidisVirginia GeladariGeorgia PolychronidouAikaterini PapagianniPantelis A SarafidisPublished in: Journal of human hypertension (2022)
Increased blood pressure variability (BPV) is strongly associated with cardiovascular events in end-stage kidney disease patients. Male hemodialysis patients present higher cardiovascular risk compared with females. The aim of this study is to investigate sex differences in short-term BPV in hemodialysis patients. 129 male and 91 female hemodialysis patients that underwent 48-h ABPM were included in this analysis. Standard deviation (SD), weighted SD (wSD), coefficient of variation (CV), and average real variability (ARV) of SBP and DBP were calculated with validated formulas. Age, dialysis vintage and history of major comorbidities did not differ between men and women. 48-h SBP/DBP (137.2 ± 17.4/81.9 ± 12.1 mmHg vs 132.2 ± 19.2/75.9 ± 11.7 mmHg, p = 0.045/<0.001) was significantly higher in men than women. During the 48-h period, all systolic BPV indices were similar between men and women (48-h SBP-ARV: 12.0 ± 2.9 vs 12.1 ± 3.2 mmHg, p = 0.683); 48-h DBP-SD, DBP-wSD and DBP-ARV (9.1 ± 1.6 vs 8.4 ± 1.8 mmHg, p = 0.005) were higher in men. In conclusion, short-term diastolic BPV indices are higher in male than female hemodialysis patients. Increased BPV may impact on the higher incidence of cardiovascular events observed in male hemodialysis patients.
Keyphrases
- cardiovascular events
- blood pressure
- coronary artery disease
- end stage renal disease
- cardiovascular disease
- chronic kidney disease
- ejection fraction
- left ventricular
- hypertensive patients
- heart rate
- heart failure
- mental health
- type diabetes
- peritoneal dialysis
- newly diagnosed
- risk factors
- magnetic resonance imaging
- prognostic factors
- polycystic ovary syndrome
- case report
- blood glucose
- weight loss
- contrast enhanced
- adipose tissue
- skeletal muscle
- pregnant women
- data analysis
- pregnancy outcomes