Table 4 Heart rhythm complexity to predict heart failure after adjustment.

From: Usefulness of heart rhythm complexity in heart failure detection and diagnosis

 

pNN20*

DFAα1*

DFAα2*

Scale 5*

Model 1

0.009 (0.001 ~ 0.096)

0.039 (0.009 ~ 0.171)

760 (11.83 ~ 5.3* 104)

0.002 (< 0.001 ~ 0.015)

Model 2

0.008 (0.001 ~ 0.085)

0.035 (0.007 ~ 0.175)

1535 (18.64 ~ 1.3*105)

0.002 (< 0.001 ~ 0.016)

Model 3

0.001 (< 0.001 ~ 0.018)

0.025 (0.004 ~ 0.160)

7,691 (49.05 ~ 1.3*106)

0.001 (< 0.001 ~ 0.028)

Model 4

0.015 (0.001 ~ 0.257)

0.093 (0.014 ~ 0.621)

632 (2.74 ~ 1.5*105)

0.004 (< 0.001 ~ 0.040)

Model 5

0.042 (0.001 ~ 1.977)

0.010 (< 0.001 ~ 0.199)

1846 (0.80 ~ 4.2*106)

0.005 (< 0.001 ~ 0.104)

  1. Data were presented with β (95% CI).
  2. P < 0.05 *Independent predictors of heart failure in multivariable logistic regression model including mean RR, SDRR, VLF, LF, HF, LF/HF ratio, DFAα1, DFAα2, slope 5, scale 5, area 1–5 and area 6–20 after stepwise subset selection.
  3. Model 1 unadjusted.
  4. Model 2 adjusted by age and sex.
  5. Model 3 adjusted by age, sex, beta blocker, CCB and ARB or ACEI use.
  6. Model 4 adjusted by age, sex, creatinine and AC glucose.
  7. Model 5 adjusted by age, sex, creatinine, AC glucose, CAD, DM, HTN and dyslipidemia.
  8. pNN20 percentage of the absolute change in consecutive normal RR interval exceeds 20 ms, DFA detrended fluctuation analysis.