Abnormal diurnal variation of blood pressure, cardiac output, and vascular resistance in cardiac transplant recipients.

Idema, R. N.; Meiracker, Anton H. van den; Balk, A. H. M. M.; Bos, Egbert; Schalekamp, M. A. D. H.; Veld, A. J. Man In't

doi:10.1161/01.cir.90.6.2797

Cited by 45 publications

(25 citation statements)

References 27 publications

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“…Basal metabolic rate, on the other hand, tends to reach maximal levels in the late afternoon, coinciding with peaks in body temperature (Reilly & Brooks, 1990;Waterhouse et al, 2005). Resting cardiac output and stroke volume are greatest in waking compared to sleep times, but peak values for stroke volume have been described variably as stable throughout the day (Idema et al, 1994), peaking during the morning (Veerman et al, 1995), or greatest at mid-day (Cugini et al, 1993). These alterations in cardiac output and stroke volume have been suggested to be explained by daily alterations in physical activity (Veerman et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

Time-of-Day Effect on Cardiac Responses to Progressive Exercise

Rowland

Unnithan

Barker

et al. 2011

Chronobiology International

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This study was designed to examine time-of-day effects on markers of cardiac functional capacity during a standard progressive cycle exercise test. Fourteen healthy, untrained young males (mean ± SD: 17.9 ± 0.7 yrs of age) performed identical maximal cycle tests in the morning (08:00-11:00 h) and late afternoon (16:00-19:00 h) in random order. Cardiac variables were measured at rest, submaximal exercise, and maximal exercise by standard echocardiographic techniques. No differences in morning and afternoon testing values at rest or during exercise were observed for oxygen uptake, heart rate, cardiac output, or markers of systolic and diastolic myocardial function. Values at peak exercise for Vo(2) at morning and afternoon testing were 3.20 ± 0.49 and 3.24 ± 0.55 L min(-1), respectively, for heart rate 190 ± 11 and 188 ± 15 bpm, and for cardiac output 19.5 ± 2.8 and 19.8 ± 3.5 L min(-1). Coefficients of variation for morning and afternoon values for these variables were similar to those previously published for test-retest reproducibility. This study failed to demonstrate evidence for significant time-of-day variation in Vo(2)max or cardiac function during standard progressive exercise testing in adolescent males.

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Section: Introductionmentioning

confidence: 99%

Time-of-Day Effect on Cardiac Responses to Progressive Exercise

Rowland

Unnithan

Barker

et al. 2011

Chronobiology International

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“…Moreover, estimation of SV variation in patients under several pathophysiological conditions, after interventions for functional hemodynamic evaluation (13) or in nonhospitalized subjects (18), may provide important information for optimizing diagnostic and treatment strategies.…”

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confidence: 99%

The “systolic volume balance” method for the noninvasive estimation of cardiac output based on pressure wave analysis

Papaioannou

Vardoulis

Stergiopulos

2012

American Journal of Physiology-Heart and Circulatory Physiology

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Cardiac output (CO) monitoring is essential for the optimal management of critically ill patients. Several mathematical methods have been proposed for CO estimation based on pressure waveform analysis. Most of them depend on invasive recording of blood pressure and require repeated calibrations, and they suffer from decreased accuracy under specific conditions. A new systolic volume balance (SVB) method, including a simpler empirical form (eSVB), was derived from basic physical principles that govern blood flow and, in particular, a volume balance approach for the conservation of mass ejected into and flowed out of the arterial system during systole. The formulas were validated by a one-dimensional model of the systemic arterial tree. Comparisons of CO estimates between the proposed and previous methods were performed in terms of agreement and accuracy using "real" CO values of the model as a reference. Five hundred and seven different hemodynamic cases were simulated by altering cardiac period, arterial compliance, and resistance. CO could be accurately estimated by the SVB method as follows: CO = C × PP(ao)/(T - P(sm) × T(s)/P(m)) and by the eSVB method as follows: CO = k × C × PP(ao)/T, where C is arterial compliance, PP(ao) is aortic pulse pressure, T is cardiac period, P(sm) is mean systolic pressure, T(s) is systolic duration, P(m) is mean pressure, and k is an empirical coefficient. SVB applied on aortic pressure waves did not require calibration or empirical correction for CO estimation. An empirical coefficient was necessary for brachial pressure wave analysis. The difference of SVB-derived CO from model CO (for brachial waves) was 0.042 ± 0.341 l/min, and the limits of agreement were -0.7 to 0.6 l/min, indicating high accuracy. The intraclass correlation coefficient and root mean square error between estimated and "real" CO were 0.861 and 0.041 l/min, respectively, indicating very good accuracy. eSVB also provided accurate estimation of CO. An in vivo validation study of the proposed methods remains to be conducted.

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“…Nevertheless, the degrees of the BP fall, as we have shown, appear not necessarily to be associated with sleep patterns or changes in physical activity, because the dipper and nondipper rats do not differ in these measures. Instead, our results suggest that a difference in autonomic nervous system functioning is responsible for the dipping and nondipping profiles among rats [13,57,58]. In this study, we used 24-h wireless polysomnographic recordings coupled with the telemetric arterial pressure recordings to allow complete and simultaneous measurements of EEG, electromyogram, electrocardiogram, and arterial pressure signals.…”

Section: Discussionmentioning

confidence: 99%