What does this research mean for the field?

A decrease in low-frequency power of heart rate variability is associated with a significantly higher risk of all-cause mortality in an elderly community-based population, providing prognostic information beyond traditional risk factors. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To assess whether reductions in heart rate variability measures derived from ambulatory ECG recordings predict all-cause mortality in a community-based cohort of older adults.

August 25, 2026Japanese Circulation Journal-english Edition

Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham Heart Study.

Q: What is the clinical evidence from this study?

Study design: Cohort. Population: General elderly population (n=736). Intervention: 1 SD decrement in low-frequency power (heart rate variability) vs. Higher low-frequency power. Primary outcome: All-cause mortality (HR 1.70, 95% CI 1.37-2.09, p=<.0001).

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Why the study?

The prognostic implications of alterations in heart rate variability had not been evaluated in a large community-based population.

Does reduced heart rate variability predict all-cause mortality in an elderly community-based cohort?

Population

736 elderly subjects from the Framingham Heart Study

Comparison

Heart rate variability measures

Design

Prospective cohort study

Follow-up

4 years

Key result

A 1 SD decrement in low-frequency power of heart rate variability was associated with a significantly higher risk of all-cause mortality (HR 1.70; 95% CI 1.37-2.09; P<0.0001).

Authors

HTHisako Tsuji FVFerdinand J. Venditti EMEmily S Manders

Discussion

Member takes

Overview

Lower HRV independently predicts mortality in elderly cohorts; leaves open whether it refines risk stratification or warrants intervention trials.

Key Points

To assess whether reductions in heart rate variability measures derived from ambulatory ECG recordings predict all-cause mortality in a community-based cohort of older adults.
Reprocessed the initial 2 hours of ambulatory ECG recordings from N=736 Framingham Heart Study participants (mean age 72 ± 6 years) followed over 4 years.
Measured five frequency-domain and three time-domain indices after excluding participants with nonsinus rhythm, premature beats >10%, short recordings, or antiarrhythmic drug use.
Over 4 years of follow-up, 74 participants died, with very-low-frequency power (P < 0.0001), low-frequency power (P < 0.0001), high-frequency power (P = 0.0014), total power (P < 0.0001), and SDNN (P = 0.0019) significantly predicting all-cause mortality in multivariable models.
In stepwise multivariable analysis, a 1 SD decrease in natural log-transformed low-frequency power independently predicted all-cause mortality (HR 1.70, 95% CI 1.37 to 2.09, P < 0.0001).

Study Design

Type

Cohort (n=736)

Structured PICO

Does reduced heart rate variability predict all-cause mortality in an elderly community-based cohort?

Population

736 elderly community-dwelling subjects (mean age 72 years) from the Framingham Heart Study with valid ambulatory ECG recordings, followed for 4 years.

Exposure

Heart rate variability assessment via first 2 hours of ambulatory ECG recordings

Outcome

All-cause mortality during 4 years of follow-uphard clinical

Main Result

Hazard Ratio: 1.7 (95% CI 1.37–2.09)

p-value: p=<.0001

Reduced heart rate variability, particularly low-frequency power, is a strong independent predictor of all-cause mortality in an elderly community-based population.

Cite This Study

Tsuji et al. (1994) conducted a cohort in General elderly population (n=736). 1 SD decrement in low-frequency power (heart rate variability) vs. Higher low-frequency power was evaluated on All-cause mortality (HR 1.70, 95% CI 1.37-2.09, p=<.0001). A 1 SD decrement in low-frequency power of heart rate variability was associated with a significantly higher risk of all-cause mortality (HR 1.70; 95% CI 1.37-2.09; P<0.0001).

synapsesocial.com/papers/6a8d099d4b78e96aff4f8e76 https://doi.org/10.1161/01.cir.90.2.878

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August 25, 2026Japanese Circulation Journal-english Edition

Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham Heart Study.

View Full Paper

Ask AI

Bookmark

Why the study?

The prognostic implications of alterations in heart rate variability had not been evaluated in a large community-based population.

Does reduced heart rate variability predict all-cause mortality in an elderly community-based cohort?

Population

736 elderly subjects from the Framingham Heart Study

Comparison

Heart rate variability measures

Design

Prospective cohort study

Follow-up

4 years

Key result

A 1 SD decrement in low-frequency power of heart rate variability was associated with a significantly higher risk of all-cause mortality (HR 1.70; 95% CI 1.37-2.09; P<0.0001).

Authors

HTHisako Tsuji FVFerdinand J. Venditti EMEmily S Manders

Discussion

Member takes

Overview

Lower HRV independently predicts mortality in elderly cohorts; leaves open whether it refines risk stratification or warrants intervention trials.

Key Points

To assess whether reductions in heart rate variability measures derived from ambulatory ECG recordings predict all-cause mortality in a community-based cohort of older adults.
Reprocessed the initial 2 hours of ambulatory ECG recordings from N=736 Framingham Heart Study participants (mean age 72 ± 6 years) followed over 4 years.
Measured five frequency-domain and three time-domain indices after excluding participants with nonsinus rhythm, premature beats >10%, short recordings, or antiarrhythmic drug use.
Over 4 years of follow-up, 74 participants died, with very-low-frequency power (P < 0.0001), low-frequency power (P < 0.0001), high-frequency power (P = 0.0014), total power (P < 0.0001), and SDNN (P = 0.0019) significantly predicting all-cause mortality in multivariable models.
In stepwise multivariable analysis, a 1 SD decrease in natural log-transformed low-frequency power independently predicted all-cause mortality (HR 1.70, 95% CI 1.37 to 2.09, P < 0.0001).

Study Design

Type

Cohort (n=736)

Structured PICO

Does reduced heart rate variability predict all-cause mortality in an elderly community-based cohort?

Population

736 elderly community-dwelling subjects (mean age 72 years) from the Framingham Heart Study with valid ambulatory ECG recordings, followed for 4 years.

Exposure

Heart rate variability assessment via first 2 hours of ambulatory ECG recordings

Outcome

All-cause mortality during 4 years of follow-uphard clinical

Main Result

Hazard Ratio: 1.7 (95% CI 1.37–2.09)

p-value: p=<.0001

Reduced heart rate variability, particularly low-frequency power, is a strong independent predictor of all-cause mortality in an elderly community-based population.

Cite This Study

synapsesocial.com/papers/6a8d099d4b78e96aff4f8e76 https://doi.org/10.1161/01.cir.90.2.878

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