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Twenty-four-hour versus clinic blood pressure levels as predictors of long-term cardiovascular and renal disease outcomes among African Americans

  • Srividya Kidambi(corresponding author)
    ,
  • Tao Wang
    ,
  • Thomas Chelius
    ,
  • Irene Nunuk
    ,
  • Priyanka Agarwal
    ,
  • Purushottam Laud
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

In Caucasian and Asian populations, evidence suggests that 24-h blood pressures (BP) are more predictive of long-term cardiovascular events than clinic BP. However, few long-term studies have evaluated the predictive value of 24-h BP phenotypes (24-h, daytime, nighttime) among African Americans (AA). The purpose of this study is to evaluate the added value of 24-h BP phenotypes compared to clinic BP in predicting the subsequent fatal and non-fatal cardiovascular/renal disease events in AA subjects. AA subjects (n = 270) were initially studied between 1994 and 2006 and standardized clinic BP measurements were obtained during screening procedures for a 3-day inpatient clinical study during which 24-h BP measurements were obtained. To assess the subsequent incidence of cardiovascular and renal disease events, follow-up information was obtained and confirmed by review of paper and electronic medical records between 2015 and 2017. During a mean follow-up of 14 ± 4 years, 50 subjects had one or more fatal or non-fatal cardiovascular/renal disease events. After adjustment for covariates, clinic systolic and diastolic BP were strongly associated with cardiovascular/renal disease events and all-cause mortality (p < 0.0001). Twenty-four-hour BP phenotypes conferred a small incremental advantage over clinic BP in predicting cardiovascular/renal events, which was limited to making a difference of one predicted event in 250–1,000 predictions depending on the 24-h BP phenotype. Nocturnal BP was no more predictive than the other 24-h BP phenotypes. In AA, 24-h BP monitoring provides limited added value as a predictor of cardiovascular/renal disease events. Larger studies are needed in AA to confirm these findings.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

11685

Journal (Volume, Issue Number)

Scientific reports (Volume 10, Issue 1)

Publication milestones

  • Published - 12/01/2020

Publication status

Published - 12/01/2020

ISSN

2045-2322

Publication IDs

  • Scopus: 85087974638
  • PubMed: 32669581

Publication metrics

Metrics

Fractional count
1
Fractional count
0.10
Fractional count
9
Fractional count
0.90
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
FWCI
0.45
SciVal
Author count
10
SciVal
citations
2
SciVal
Paper percentile
78

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Citation count
6
Captures
19

Funding Details

We would like to acknowledge Dr. Byung-il Choi, MD, Professor of Cardiology at the Medical College of Wisconsin for independently adjudicating the events. Drs. SK, ML and TK were funded by a grant from American Heart Association (15SFRN24370000).
FunderFunding number
AHA
15SFRN24370000