Predictors of Pacemaker-Induced Cardiomyopathy and Importance of Nutritional Status and Prognostic Nutritional Index

• Published in: Acta Cardiologica Sinica 2022-03, Vol.38 (2), p.151-158
• Main Authors: Balli, Mehmet, Çetin, Mustafa, Koksal, Fatma, Sag, Fazilet Erturk, Katkat, Fahrettin, Tekin, Esra Erturk, Aydinli, Bahar, Vurgun, Veysel Kutay
• Format: Article
• Language: English
• Subjects: Cardiomyopathy & Heart Failure; MEDLINE; Original; Pacemaker; Pacing-induced cardiomyopathy; Prognostic nutritional index; SCIE; Scopus
• ISSN: 1011-6842
• DOI: 10.6515/ACS.202203_38(2).20211117A

Background: Long-term right ventricular (RV) pacing may cause progressive left ventricular systolic dysfunction, and malnutrition is related to adverse cardiovascular outcomes in patients with heart failure. We aimed to evaluate the relationship between immunonutritional status and the development of pacing-induced cardiomyopathy (PICMP). Methods: This study included 434 patients who underwent permanent pacemaker (PPM) implantation and had preserved left ventricular ejection fraction (LVEF) of ＞ 40%. At six months of follow-up, the patients with LVEF ＜ 40% were defined as having PICMP. Baseline prognostic nutritional index (PNI) was calculated based on serum albumin and lymphocyte count. Results: Overall, 16.5% of the our study patients developed PICMP. The PICMP group had more males (p = 0.013), lower baseline LVEF values (p = 0.014) and lower baseline PNI levels (p ＜ 0.001). RV pacing ratios and paced QRS intervals were higher in the PICMP group (p ＜ 0.001 for both), but the types of implanted pacemakers were similar for all patients (p = 0.709). According to regression analyses, baseline LVEF (p = 0.020), PNI (p ＜ 0.001), C-reactive protein level (p = 0.012), RV pacing ratio (p ＜ 0.001) and paced QRS interval (p = 0.001) were independent predictors of PICMP development. A cut-off PNI value ≤ 43.2 at the time of PPM implantation could predict PICMP development with a sensitivity of 85.5% and specificity of 86.7% (p ＜ 0.001). Conclusions: Identifying poor nutritional status using the PNI may be an important concept to predict PICMP development, and optimizing nutritional status might help to reduce adverse outcomes in these patients.