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August 11, 2021BMC Geriatrics36 citationsOpen Access

Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease

NHNaomi HirotaSSShinya SuzukiTATakuto Arita

Structured PICO

Does biological age estimated by 12-lead ECG improve the prediction of all-cause and cardiovascular mortality compared to chronological age in patients without structural heart disease?

P
Population
12,837 patients without structural heart disease, pacing beats, atrial or ventricular tachyarrhythmia, or an indeterminate axis on index ECG, mean age 55.5, 53.7% male, from a single cardiology specialized hospital in Tokyo, Japan.
I
Intervention
Biological age estimation using 438 parameters from a 12-lead electrocardiogram (ECG) modeled by principal component analysis (BA) and Klemera and Doubal's method (BAE and BAEC).
C
Comparator
Chronological age (CA).
O
Outcome
All-cause death and cardiovascular death evaluated by receiver operating characteristic (ROC) area under the curve (AUC).hard clinical

Biological age estimated by a 12-lead ECG provides comparable mortality prediction to chronological age overall, but significantly improves risk discrimination in patients aged 60-74 years.

Limitations

  • Single-center study
  • All participants were patients who visited a cardiovascular hospital in an urban area (potential selection bias)

Abstract

Abstract Background There is a well-established relationship between 12-lead electrocardiogram (ECG) and age and mortality. Furthermore, there is increasing evidence that ECG can be used to predict biological age. However, the utility of biological age from ECG for predicting mortality remains unclear. Methods This was a single-center cohort study from a cardiology specialized hospital. A total of 19,170 patients registered in this study from February 2010 to March 2018. ECG was analyzed in a final 12,837 patients after excluding those with structural heart disease or with pacing beats, atrial or ventricular tachyarrhythmia, or an indeterminate axis (R axis > 180°) on index ECG. The models for biological age were developed by principal component analysis (BA) and the Klemera and Doubal’s method (not adjusted for age BA E and adjusted for age BA EC ) using 438 ECG parameters. The predictive capability for all-cause death and cardiovascular death by chronological age (CA) and biological age using the three algorithms were evaluated by receiver operating characteristic analysis. Results During the mean follow-up period of 320.4 days, there were 55 all-cause deaths and 23 cardiovascular deaths. The predictive capabilities for all-cause death by BA, BA E , and BA EC using area under the curves were 0.731, 0.657, and 0.685, respectively, which were comparable to 0.725 for CA ( p = 0.760, 0.141, and 0.308, respectively). The predictive capabilities for cardiovascular death by BA, BA E , and BA EC were 0.682, 0.685, and 0.692, respectively, which were also comparable to 0.674 for CA ( p = 0.775, 0.839, and 0.706, respectively). In patients aged 60–74 years old, the area under the curves for all-cause death by BA, BA E , and BA EC were 0.619, 0.702, and 0.697, respectively, which tended to be or were significantly higher than 0.482 for CA ( p = 0.064, 0.006, and 0.005, respectively). Conclusion Biological age by 12-lead ECG showed a similar predictive capability for mortality compared to CA among total patients, but partially showed a significant increase in predictive capability among patients aged 60–74 years old.

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Cite This Study

Hirota et al. (2021) studied this question.

synapsesocial.com/papers/6a721ccbe5469ee92be245fbhttps://doi.org/10.1186/s12877-021-02391-8
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