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Assessment of mean respiratory rate from ECG recordings for risk stratification after myocardial infarction.
Sinnecker, Daniel; Dommasch, Michael; Barthel, Petra; Müller, Alexander; Dirschinger, Ralf J; Hapfelmeier, Alexander; Huster, Katharina M; Laugwitz, Karl-Ludwig; Malik, Marek; Schmidt, Georg.
Affiliation
  • Sinnecker D; Medizinische Klinik der Technischen Universität München, Munich, Germany.
  • Dommasch M; Medizinische Klinik der Technischen Universität München, Munich, Germany.
  • Barthel P; Medizinische Klinik der Technischen Universität München, Munich, Germany.
  • Müller A; Medizinische Klinik der Technischen Universität München, Munich, Germany.
  • Dirschinger RJ; Medizinische Klinik der Technischen Universität München, Munich, Germany.
  • Hapfelmeier A; Institut für Medizinische Statistik und Epidemiologie der Technischen Universität München, Munich, Germany.
  • Huster KM; Medizinische Klinik der Technischen Universität München, Munich, Germany.
  • Laugwitz KL; Medizinische Klinik der Technischen Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research, partner site Munich Heart Aliance).
  • Malik M; St. Paul's Cardiac Electrophysiology, University of London, and Imperial College, London, England. Electronic address: marek.malik@btinternet.com.
  • Schmidt G; Medizinische Klinik der Technischen Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research, partner site Munich Heart Aliance).
J Electrocardiol ; 47(5): 700-4, 2014.
Article in En | MEDLINE | ID: mdl-24891267
ABSTRACT

BACKGROUND:

We recently reported that nocturnal respiratory rate (NRR) predicts non-sudden cardiac death in survivors of myocardial infarction (MI). Here, we present the details of the technique deriving NRR from ECG recordings.

METHODS:

Continuous ECG and respiratory chest excursions were simultaneously recorded in 941 MI survivors who were followed-up for 5-years. Mean respiratory rate was derived from the ECG based on RR intervals, QRS amplitudes, and QRS vectors and compared to chest belt measurements. NRR was calculated from Holter-ECGs accordingly using the same ECG processing.

RESULTS:

Directly-measured and ECG-derived respiratory rates were in good agreement. Areas under the ROC curve for 10-min-ECG- and Holter-derived respiratory rate were well in the confidence intervals of that of the chest belt measurement. The optimum dichotomy of NRR for the prediction of mortality was ≥18.6 breaths per minute.

CONCLUSIONS:

The mean respiratory rate can be precisely derived from continuous ECGs.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electrocardiography, Ambulatory / Respiratory Rate / Myocardial Infarction Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Electrocardiol Year: 2014 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electrocardiography, Ambulatory / Respiratory Rate / Myocardial Infarction Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Electrocardiol Year: 2014 Type: Article Affiliation country: Germany