title: Prevalence and clinical correlates of white coat hypertension in chronic kidney disease.
abstract: BACKGROUND
  The role of white coat hypertension (WCH) in the poor control of blood pressure (BP) in chronic kidney disease (CKD) is ill defined.
  
  
  METHODS
  We measured systolic clinical (CBP) and ambulatory blood pressure (ABP) in 290 consecutive patients with non-dialysis CKD [glomerular filtration rate (GFR) <60 ml/min/1.73 m(2)]. We defined normotension (NOR) if CBP and daytime ABP <130 mmHg, sustained hypertension (SH) when both BP >or=130 mmHg, WCH if only daytime ABP <130 mmHg, and masked hypertension (MH) when only CBP <130 mmHg.
  
  
  RESULTS
  NOR patients were 15.5%, WCH 31.7%, SH 46.9% and MH 5.9%. Due to the high prevalence of WCH, achievement of BP target (<130 mmHg) was more than doubled by daytime ABP than CBP (47.2 vs 21.4%). WCH was characterized by prevalence of diabetes (31.5%), left ventricular hypertrophy (LVH; 50.0%) and CBP values (146 +/- 12 mmHg) lower than in SH (41.9%, 71.3% and 158 +/- 18 mmHg) but greater than in NOR (17.8%, 37.8% and 118 +/- 7 mmHg). Among patients with CBP >or=130 mmHg, the independent risk of having SH rather than WCH increased in the presence of higher CBP [Odds ration (OR) 1.61, 95% confidence intervals (CI) 1.29-2.02], LVH (OR 1.94, 95% CI 1.03-3.63) and proteinuria (OR 3.12, 95% CI 1.31-7.43). In the WCH group, 24 h, daytime and nighttime ABP were 118 +/- 7/68 +/- 8, 120 +/- 7/71 +/- 8 and 112 +/- 12/63 +/- 9 mmHg, respectively.
  
  
  CONCLUSIONS
  In CKD, WCH is highly prevalent and can be predicted in the absence of higher CBP, LVH and proteinuria. In these patients, pursuing a low BP target may not be safe because of the risk of cardio-renal hypoperfusion especially at nighttime.
authors.affiliation: Department of Nephrology, Second University of Naples, Via Tiberio 90 I-80125, Naples, Italy. roberto.minutolo@unina2.it
authors.forename: Roberto
authors.initials: R
authors.lastname: Minutolo
authors.forename: Silvio
authors.initials: S
authors.lastname: Borrelli
authors.forename: Raffaele
authors.initials: R
authors.lastname: Scigliano
authors.forename: Vincenzo
authors.initials: V
authors.lastname: Bellizzi
authors.forename: Paolo
authors.initials: P
authors.lastname: Chiodini
authors.forename: Bruno
authors.initials: B
authors.lastname: Cianciaruso
authors.forename: Felice
authors.initials: F
authors.lastname: Nappi
authors.forename: Pasquale
authors.initials: P
authors.lastname: Zamboli
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Conte
authors.forename: Luca
authors.initials: L
authors.lastname: De Nicola
mesh_terms: D000368:Aged; D001794:Blood Pressure; D018660:Blood Pressure Monitoring, Ambulatory; D015992:Body Mass Index; D002908:Chronic Disease; D003430:Cross-Sectional Studies; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D006973:Hypertension / Q000150:complications* / Q000175:diagnosis*; D007674:Kidney Diseases / Q000150:complications* / Q000175:diagnosis*; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012044:Regression Analysis