title: Association Between Home Blood Pressure and Body Composition by Bioimpedance Monitoring in Patients Undergoing Peritoneal Dialysis.
abstract: Home blood pressure (HBP) is an independent predictor of cardiovascular and renal function. However, no particular guidelines have been established for optimal HBP in peritoneal dialysis (PD) patients. Bioelectrical impedance analysis (BIA) is a beneficial tool for determining body composition. In the present study, we used BIA to determine body composition parameters that might play a role in the regulation of HBP in PD patients, and we compared HBP with office blood pressure (BP). Our study enrolled 15 patients (11 men, 4 women) receiving PD at Tohoku University Hospital, who, for 1 year, agreed to monitor HBP and to undergo body composition analysis. Patients were requested to measure HBP twice daily (morning, night) using a home BP device. A bioimpedance monitor was used to monitor body composition each month. Blood and urine samples were also analyzed each month. The relationships of average morning systolic HBP (sMHBP) with parameters of body composition and of blood and urine analyses were evaluated. The enrolledpatients were 66.3 ± 7.7 years of age and had a PD vintage of 28.3 ± 6.4 months. Overall, their sMHBP was 128 ± 13 mmHg and their office systolic BP was 126 ± 15 mmHg. Although office systolic BP and sMHBP both correlated with body fluid parameters [total body water (TBW)/height2], renal function (renal Kt/V serum creatinine), and heart function (left ventricular mass index), the correlation coefficient for sMHBP and TBW/height2 was highest, with sMHBP being the only independent predictor. Sodium intake was associated only with sMHBP. Our results suggest that body fluid status determined by BIA, heart and renal function, and sodium intake show better associations with sMHBP than with office systolic BP. Monitoring HBP and body composition by BIA are beneficial for the maintenance of volume status in PD patients.
authors.forename: Naho
authors.initials: N
authors.lastname: Kurasawa
authors.forename: Takefumi
authors.initials: T
authors.lastname: Mori
authors.forename: Eri
authors.initials: E
authors.lastname: Naganuma
authors.forename: Emiko
authors.initials: E
authors.lastname: Sato
authors.forename: Kenji
authors.initials: K
authors.lastname: Koizumi
authors.forename: Shinichi
authors.initials: S
authors.lastname: Sato
authors.forename: Ikuko
authors.initials: I
authors.lastname: Oba
authors.forename: Mihoko
authors.initials: M
authors.lastname: Tsuchikawa
authors.forename: Sadayoshi
authors.initials: S
authors.lastname: Ito
mesh_terms: D000368:Aged; D001794:Blood Pressure / Q000502:physiology*; D018660:Blood Pressure Monitoring, Ambulatory; D001823:Body Composition / Q000502:physiology*; D003404:Creatinine / Q000097:blood; D017097:Electric Impedance; D005260:Female; D006801:Humans; D007676:Kidney Failure, Chronic / Q000378:metabolism / Q000503:physiopathology* / Q000628:therapy*; D008297:Male; D008875:Middle Aged; D010530:Peritoneal Dialysis; D013318:Stroke Volume
chemical_list: D003404:Creatinine