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Prognostic utility of rhythmic components in 24-hour ambulatory blood pressure monitoring for the risk stratification of chronic kidney disease patients with cardiovascular co-morbidity.
Jamal, Nadim E; Brooks, Thomas G; Cohen, Jordana; Townsend, Raymond R; de Sosa, Giselle Rodriguez; Shah, Vallabh; Nelson, Robert G; Drawz, Paul E; Rao, Panduranga; Bhat, Zeenat; Chang, Alexander; Yang, Wei; FitzGerald, Garret A; Skarke, Carsten.
Affiliation
  • Jamal NE; Institute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Brooks TG; Institute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Cohen J; Renal-Electrolyte and Hypertension Division, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Townsend RR; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • de Sosa GR; Renal-Electrolyte and Hypertension Division, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Shah V; Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, NM, USA.
  • Nelson RG; Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, NM, USA.
  • Drawz PE; Department of Biochemistry, School of Medicine, University of New Mexico, Albuquerque, NM, USA.
  • Rao P; The Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA.
  • Bhat Z; Division of Nephrology and Hypertension, University of Minnesota, Minneapolis, MN, USA.
  • Chang A; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Yang W; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
  • FitzGerald GA; Kidney Health Research Institute, Department of Population Health Sciences, Geisinger, Danville, PA, USA.
  • Skarke C; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
medRxiv ; 2023 May 05.
Article de En | MEDLINE | ID: mdl-37205602
ABSTRACT

Background:

Chronic kidney disease (CKD) represents a significant global burden. Hypertension is a modifiable risk factor for rapid progression of CKD.

Methods:

We extend the risk stratification by introducing the non-parametric determination of rhythmic components in 24-hour profiles of ambulatory blood pressure monitoring (ABPM) in the African American Study for Kidney Disease and Hypertension (AASK) cohort and the Chronic Renal Insufficiency Cohort (CRIC) using Cox proportional hazards models.

Results:

We find that rhythmic profiling of BP through JTK_Cycle analysis identifies subgroups of CRIC participants at advanced risk of cardiovascular death. CRIC participants with a history of cardiovascular disease (CVD) and absent cyclic components in their BP profile had at any time a 3.4-times higher risk of cardiovascular death than CVD patients with cyclic components present in their BP profile (HR 3.38, 95% CI 1.45-7.88, p=0.005). This substantially increased risk was independent of whether ABPM followed a dipping or non-dipping pattern whereby non-dipping or reverse dipping were not significantly associated with cardiovascular death in patients with prior CVD (p>0.1). In the AASK cohort, unadjusted models demonstrate a higher risk in reaching end stage renal disease among participants without rhythmic ABPM components (HR1.80, 95% CI 1.10-2.96); however, full adjustment abolished this association.

Conclusions:

This study proposes rhythmic blood pressure components as a novel biomarker to unmask excess risk among CKD patients with prior cardiovascular disease.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Langue: En Journal: MedRxiv Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Langue: En Journal: MedRxiv Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
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