Literature DB >> 3049978

Use of power spectral analysis of respiratory sinus arrhythmia to detect graft rejection.

J P Zbilut1, D K Murdock, L Lawson, C E Lawless, M M Von Dreele, S W Porges.   

Abstract

Some evidence has suggested that graft rejection in heart transplant recipients is accompanied by sinus node dysfunction. To test this hypothesis the electrocardiograms of 21 orthotopic heart transplant recipients receiving cyclosporine were recorded at regularly scheduled biopsies. This resulted in 105 good quality recordings of at least 10 minutes each. All exhibited normal sinus rhythm. These recordings were then processed through patented digital routines that calculated the power spectrum of the RR intervals. All recordings exhibited Mayer wave and respiratory sinus arrhythmia (RSA) periodicities. Peak spectral power of RSA (PSP-RSA) demonstrated good repeatability at 2 weeks (r = 0.81). A paired t test comparing the baseline PSP-RSA in eight subjects who experienced rejection episodes with their individual average PSP-RSA during periods of rejection revealed a significant decrease (p = 0.039). As a global measure, PSP-RSA greater than 1 (natural logarithmic scales) demonstrated a sensitivity of 1.0, specificity of 0.42, positive predictive value of 0.22, and negative predictive value of 1.0. These tentative results demonstrate that PSP-RSA may be a sensitive, noninvasive marker for graft rejection of heart transplant patients receiving cyclosporine for immunosuppression. A larger, more extensive study needs to be conducted to confirm these results.

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Year:  1988        PMID: 3049978

Source DB:  PubMed          Journal:  J Heart Transplant        ISSN: 0887-2570


  4 in total

1.  The electrophysiology of cardiac allograft rejection: independent effects of rejection and perioperative ischemia on the sinus node recovery phenomenon after cardiac transplantation.

Authors:  G Heinz; M Hirschl; G Laufer; P Buxbaum; H Gössinger; P Siostrzonek; S Gasic; A Laczkovics
Journal:  Basic Res Cardiol       Date:  1992 Nov-Dec       Impact factor: 17.165

2.  A Markovian formalization of heart rate dynamics evinces a quantum-like hypothesis.

Authors:  A Giuliani; P Lo Giudice; A M Mancini; G Quatrini; L Pacifici; C L Webber; M Zak; J P Zbilut
Journal:  Biol Cybern       Date:  1996-02       Impact factor: 2.086

3.  Correlation between indexes of autonomic maneuvers and heart rate variability in hemodialysis patients.

Authors:  Carlos Felipe Delmondes Vieira; Márcia Maria Oliveira Lima; Henrique Silveira Costa; Karen Marina Alves Diniz; João Paulo Lemos Guião; Frederico Lopes Alves; Emílio Henrique Maciel; Vanessa Gomes Brandao; Pedro Henrique Scheidt Figueiredo
Journal:  Clin Auton Res       Date:  2016-03-15       Impact factor: 4.435

4.  Can power spectral analysis of heart rate variability identify a high risk subgroup of congestive heart failure patients with excessive sympathetic activation? A pilot study before and after heart transplantation.

Authors:  A Mortara; M T La Rovere; M G Signorini; P Pantaleo; G Pinna; L Martinelli; C Ceconi; S Cerutti; L Tavazzi
Journal:  Br Heart J       Date:  1994-05
  4 in total

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