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. 2005 Jul 1;5(3):210–220.

Table 1. Studies of Non-Linear HRV in Cardiac Patients.

Reference Population Results/Conclusions
Brouwer et al., 1996 [19] 95 pts with HF, HRV and Poincaré plots from 24 hr holter recordings (Ibopamine Multicenter Trial study group) Shape of Poincaré plots independent prognostic value in pts with mild to moderate HF
Bigger et al., 1996 [2] (1) 715 pts with recent MI (2) 274 healthy pts (3) 19 pts with heart transplant (Multicenter Post Infarction Program) MI or denervation of the heart causes a steeper slope and ↓ height of power law slope
Huikuri et al., 1999 [10] 446 with MI with ↓ LV function (EF<35%) F/U 685±360 days Alpha-1 is the most powerful predictor of all cause mortality
Huikuri et al., 1998 [7] Random sample of 347 patients of >65 yrs F/U for 10 yrs Power law slope is a more powerful predictor of death than the traditional risk markers in elderly subjects
Kamen et al, 1995 [21] Poincaré plot pattern to display beat to beat HRV data from 23 pts with HF and compared with 20 healthy people Poincaré plot is a semi-quantitative tool which can be applied to the analysis of R-R interval
Laitio et al., 2002 [22] HRV and Poincaré plots of 40 pts with CABG SD1/SD2 ratio is the most powerful independent predictor of postoperative ischaemia
Laitio et al., 2004 [13] 32 pts aged ≥60 yrs admitted to hospital for surgical repair of traumatic hip fracture Alpha-1 predicts post operative myocardial infarction
Lombardi et al.1996 [8] HRV in 2 groups of pts after MI (normal and reduced LVEF). Group1: 20 pts; Group 2: 15 pts Steeper slope of the negative regression line between power and frequency among reduced LVEF
Mäkikallio et al., 1998 [23] 38 pts with stable angina without previous MI or cardiac medication and 38 age matched healthy pts Alpha-1 helps differentiate CAD and healthy pts