Key result
Lower resting heart rate variability, measured by RMSSD, was significantly associated with moderate-to-high proximal suicide risk across diverse psychiatric diagnoses (aOR 0.981).
Why the study?
Objectively measurable biomarkers have not been applied for suicide risk prediction, although resting HR and HRV have shown potential as trans-diagnostic markers.
Are resting heart rate and heart rate variability associated with proximal suicide risk in patients with diverse psychiatric diagnoses?
Cross-Sectional (n=1,461)
No
Are resting heart rate and heart rate variability associated with proximal suicide risk in patients with diverse psychiatric diagnoses?
Odds Ratio: 0.981 (95% CI 0.966–0.997)
p-value: p=0.019
Resting heart rate and root-mean-square of successive difference (RMSSD) are associated with proximal suicide risk across diverse psychiatric diagnoses, suggesting their potential as objective biomarkers for suicide risk prediction.
May inform suicide risk stratification in psychiatry; hypothesis-generating from observational data and requires prospective validation.
Objectively measurable biomarkers have not been applied for suicide risk prediction. Resting heart rate (HR) and heart rate variability (HRV) showed potential as trans-diagnostic markers associated with suicide. This study aimed to investigate the associations of resting HR and HRV on proximal suicide risk in patients with diverse psychiatric diagnoses. This chart review study used the medical records of psychiatric patients who visited the outpatient clinic at an academic tertiary hospital. A total of 1,461 patients with diverse psychiatric diagnoses was included in the analysis. Proximal suicide risk was measured using the Mini-International Neuropsychiatric Interview (MINI) suicidal score. Linear regression analyses with the MINI suicidal score as a dependent variable and binary logistic regression analyses with moderate-to-high suicide risk (MINI suicidal risk score ≥6) as a dependent variable were conducted to explore the effects of resting HR and HRV parameters on acute suicide risk after adjusting for age, sex, presence of major depressive disorder (MDD) and bipolar disorder (BD), severity of depression and anxiety severity. We found that 55 (34.6%) patients in the MDD group, 40 (41.7%) in the BD group and 36 (3.9%) in the others group reported moderate-to-high suicide risk. Linear regression analysis revealed that both resting HR and root-mean-square of successive difference (RMSSD) had significant associations with the MINI suicidal score ( P = 0.037 with HR, P = 0.003 with RMSSD). In logistic regression, only RMSSD showed a significant association with moderate-to-high suicide risk ( P = 0.098 with HR, P = 0.019 with RMSSD), which remained significant in subgroup analysis with patients who reported any suicide-related symptom (MINI suicidal score >0; n = 472; P = 0.017 with HR, P = 0.012 with RMSSD). Our study findings suggest the potential for resting HR and RMSSD as biomarkers for proximal suicide risk prediction. Further research with longitudinal evaluation is needed to confirm our study findings.
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Lee et al. (2021) conducted a cross-sectional in Diverse psychiatric diagnoses (n=1,461). Resting heart rate and heart rate variability (RMSSD) was evaluated on Moderate-to-high proximal suicide risk (MINI suicidal risk score ≥6) (aOR 0.981, 95% CI 0.966-0.997, p=0.019). Lower resting heart rate variability, measured by RMSSD, was significantly associated with moderate-to-high proximal suicide risk across diverse psychiatric diagnoses (aOR 0.981).
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