Your browser doesn't support javascript.
loading
Hemodialysis Efficiency Predictor in End-Stage Kidney Disease Using Real-Time Heart Rate Variability.
Im, Sung Il; Kim, Ye Na; Kim, Hyun Su; Kim, Soo Jin; Bae, Su Hyun; Kim, Bong Joon; Heo, Jung Ho; Jung, Yeonsoon; Rim, Hark; Cho, Sung Pil; Park, Jung Hwan; Shin, Ho Sik.
Afiliación
  • Im SI; Division of Cardiology, Department of Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Kim YN; Renal Division, Department of Internal Medicine, Gospel Hospital, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Kim HS; Transplantation Research Institute, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Kim SJ; Division of Cardiology, Department of Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Bae SH; Division of Cardiology, Department of Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Kim BJ; Division of Cardiology, Department of Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Heo JH; Division of Cardiology, Department of Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Jung Y; Division of Cardiology, Department of Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Rim H; Renal Division, Department of Internal Medicine, Gospel Hospital, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Cho SP; Transplantation Research Institute, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Park JH; Renal Division, Department of Internal Medicine, Gospel Hospital, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
  • Shin HS; Transplantation Research Institute, Kosin University College of Medicine, Busan 606-701, Republic of Korea.
Biomedicines ; 12(3)2024 Feb 20.
Article en En | MEDLINE | ID: mdl-38540088
ABSTRACT

BACKGROUND:

Autonomic dysfunction as a long-term complication may occur in end-stage kidney disease (ESKD) patients and can be diagnosed using heart rate variability (HRV) analyzed from electrocardiogram (ECG) recordings. There is limited data about HRV using real-time ECG to predict hemodialysis (HD) efficiency in patients with ESKD who are routinely doing HD in the real world.

METHODS:

A total of 50 patients (62.1 ± 10.7 years) with ESKD underwent continuous real-time ECG monitoring (237.4 ± 15.3 min) during HD for HRV using remote monitoring system. Their electrolyte levels were checked before and after HD. We compared HRV according to electrolyte levels.

RESULTS:

During the monitor, we checked the ECG and electrolyte levels simultaneously a total of 2374 times for all of the patients. Both time and frequency domain HRV were higher when the patients had lower K+ level (<0.5 mEq/L) and P+ level change (<2 mEq/L) before and after HD as compared to those with a higher K+ level (≥0.5 mEq/L) and P+ level change (≥2 mEq/L). Additionally, patients with lower K+ and P+ level change groups had higher incidences of arrhythmic events including atrial/ventricular premature complexes, despite no difference of mean heart rate (p < 0.001).

CONCLUSIONS:

Higher HRV was independently associated with a poorly controlled K+ and P+ level during HD in patients with ESKD. This is consistently evidenced by the independent association between higher HRV, K+ and P+ levels in real time, suggesting that low electrolyte changes before and after HD alone may cause cardiac autonomic dysfunction.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_doencas_transmissiveis Idioma: En Revista: Biomedicines Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_doencas_transmissiveis Idioma: En Revista: Biomedicines Año: 2024 Tipo del documento: Article
...