Blood pressure management in children on dialysis.
Fabio PaglialongaS ConsoloA EdefontiG MontiniPublished in: Pediatric nephrology (Berlin, Germany) (2017)
Hypertension is a leading cause of cardiovascular complications in children on dialysis. Volume overload and activation of the renin-angiotensin-aldosterone system play a major role in the pathophysiology of hypertension. The first step in managing blood pressure (BP) is the careful assessment of ambulatory BP monitoring. Volume control is essential and should start with the accurate identification of dry weight, based on a comprehensive assessment, including bioimpedance analysis and intradialytic blood volume monitoring (BVM). Reduction of interdialytic weight gain (IDWG) is critical, as higher IDWG is associated with a worse left ventricular mass index and poorer BP control: it can be obtained by means of salt restriction, reduced fluid intake, and optimized sodium removal in dialysis. Optimization of peritoneal dialysis and intensified hemodialysis or hemodiafiltration have been shown to improve both fluid and sodium management, leading to better BP levels. Studies comparing different antihypertensive agents in children are lacking. The pharmacokinetic properties of each drug should be considered. At present, BP control remains suboptimal in many patients and efforts are needed to improve the long-term outcomes of children on dialysis.
Keyphrases
- end stage renal disease
- peritoneal dialysis
- blood pressure
- chronic kidney disease
- weight gain
- young adults
- hypertensive patients
- left ventricular
- body mass index
- heart rate
- heart failure
- physical activity
- body composition
- high resolution
- emergency department
- birth weight
- type diabetes
- angiotensin ii
- weight loss
- newly diagnosed
- metabolic syndrome
- atrial fibrillation
- risk factors
- acute coronary syndrome
- skeletal muscle
- acute myocardial infarction
- percutaneous coronary intervention
- preterm birth
- left atrial
- transcatheter aortic valve replacement
- case control
- bioinformatics analysis