The Ability of Detecting Heart Rate Variability with the Photoplethysmography to Predict Major Adverse Cardiac Event in Acute Coronary Syndrome
ABSTRACT: to assess heart rate
variability (HRV) measurements using pulse photoplethysmograph (PPG) in
predicting major adverse cardiac event (MACE) in acute coronary syndrome (ACS)
patients. Methods: a prospective cohort study was conducted among hospitalized
ACS patients. Heart rate variability as predictor was measured by PPG within 48
hours after admission and the incidence of MACE as outcome was identifed during
ICCU stay. The ability of HRV in predicting MACE during hospitalization was
determined by area under ROC curve (AUC) of low frequency (LF), high fequency
(HF), and LF/HF ratio parameters. Results: among 75 subjects included in thestudy,
14 (18.7%) were experienced MACE during hospitalization. HRV parameters of LF
and LF/HF ratio have AUC of 0.697 (95% CI, 0.543-0.850) and 0.851
(0.741-0.962), respectively. Using cut-off point of 89.673 ms2, LF had PPV and NPV
of 13% and 71%, respectively; while LF/HF ratio of 1.718 had PPV and NPV of 6%
and 50%, respectively. Conclusion: the HRV parameters of LF and LF/HF ratio are
moderate predictors for MACE and predict better ACS patients who will not
develop MACE during hospitalization.
Keywords: acute coronary
syndrome, heart rate variability, major adverse cardiac events, pulse
photoplethysmograph
Author: Muhadi, Sally A.
Nasution, Rudi Putranto, Kuntjoro Harimurti
Journal Code: jpkedokterangg160014