Literature DB >> 17515445

Trended cosinor change model for analyzing hemodynamic rhythm patterns in hemodialysis patients.

Ken Kelley1, Robert P Light, Rajiv Agarwal.   

Abstract

To describe circadian blood pressure (BP) patterns and linear interdialytic changes, a model was developed to describe simultaneously both the straight line change and oscillatory variation in BP and heart rate over an interdialytic interval in hemodialysis patients. Using this trended cosinor model, we simultaneously compared the impact of mean level of BP, linear changes over the interdialytic interval, and oscillatory changes in BP and its relationship with antihypertensive drug use. Neither a straight-line change model nor the cosinor model adequately described the BP variability in 12,750 BP measurements from 136 chronic stable hemodialysis patients. A combination of the 2 models that allowed for the oscillatory rhythmic pattern in BP variation to have an upward trend in the interdialytic period most accurately described the data. Time elapsed since the end of dialysis demonstrated a better model fit compared with the less meaningful clock time. More antihypertensive medication use was associated with increasing mean systolic, diastolic, and pulse pressure. Although the rate of change was blunted with increasing antihypertensive drug use, the impact on oscillatory change was U-shaped for systolic BP, direct for diastolic BP, and inverse for pulse pressure. A trended cosinor model better describes the change in BP in the interdialytic interval in hemodialysis patients, especially when time elapsed is measured from the end of dialysis. Antihypertensive drugs, though associated with higher average BP, are associated with blunted rate of change in BP over time.

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Year:  2007        PMID: 17515445     DOI: 10.1161/HYPERTENSIONAHA.107.091579

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  22 in total

Review 1.  Managing hypertension using home blood pressure monitoring among haemodialysis patients--a call to action.

Authors:  Rajiv Agarwal
Journal:  Nephrol Dial Transplant       Date:  2010-03-28       Impact factor: 5.992

Review 2.  Analyzing change: a primer on multilevel models with applications to nephrology.

Authors:  Jocelyn E Holden; Ken Kelley; Rajiv Agarwal
Journal:  Am J Nephrol       Date:  2008-05-10       Impact factor: 3.754

3.  Altered circadian hemodynamic and renal function in cirrhosis.

Authors:  Suthat Liangpunsakul; Rajiv Agarwal
Journal:  Nephrol Dial Transplant       Date:  2017-02-01       Impact factor: 5.992

Review 4.  Systolic and diastolic hypertension among patients on hemodialysis: Musings on volume overload, arterial stiffness, and erythropoietin.

Authors:  Panagiotis I Georgianos; Rajiv Agarwal
Journal:  Semin Dial       Date:  2019-08-28       Impact factor: 3.455

Review 5.  Blood pressure in hemodialysis: targets?

Authors:  Panagiotis I Georgianos; Rajiv Agarwal
Journal:  Curr Opin Nephrol Hypertens       Date:  2017-11       Impact factor: 2.894

Review 6.  Interdialytic ambulatory blood pressure in patients with intradialytic hypertension.

Authors:  Peter N Van Buren; Robert Toto; Jula K Inrig
Journal:  Curr Opin Nephrol Hypertens       Date:  2012-01       Impact factor: 2.894

7.  Interdialytic hypertension-an update.

Authors:  Rajiv Agarwal
Journal:  Adv Chronic Kidney Dis       Date:  2011-01       Impact factor: 3.620

Review 8.  The controversies of diagnosing and treating hypertension among hemodialysis patients.

Authors:  Rajiv Agarwal
Journal:  Semin Dial       Date:  2012-06-11       Impact factor: 3.455

9.  Chronobiology of arterial hypertension in hemodialysis patients: implications for home blood pressure monitoring.

Authors:  Rajiv Agarwal; Robert P Light
Journal:  Am J Kidney Dis       Date:  2009-06-10       Impact factor: 8.860

10.  Diagnosing hypertension by intradialytic blood pressure recordings.

Authors:  Rajiv Agarwal; Tesfamariam Metiku; Getachew G Tegegne; Robert P Light; Zerihun Bunaye; Dagim M Bekele; Ken Kelley
Journal:  Clin J Am Soc Nephrol       Date:  2008-05-21       Impact factor: 8.237

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