Details

Autor(en) / Beteiligte

• Doldi, Florian
• Doldi, Philipp M.
• Plagwitz, Lucas
• Westerwinter, Marvin
• Wolfes, Julian
• Korthals, Dennis
• Willy, Kevin
• Wegner, Felix K.
• Könemann, Hilke
• Ellermann, Christian
• Rath, Benjamin
• Güner, Fatih
• Reinke, Florian
• Köbe, Julia
• Lange, Philipp S.
• Frommeyer, Gerrit
• Varghese, Julian
• Eckardt, Lars

Titel

Predictors for major in-hospital complications after catheter ablation of ventricular arrhythmias: validation and modification of the Risk in Ventricular Ablation (RIVA) Score

Ist Teil von

• Clinical research in cardiology, 2023-12, Vol.112 (12), p.1778-1789

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• Objective and background Catheter-based treatment of patients with ventricular arrhythmias (VA) reduces VA and mortality in selected patients. With regard to potential risks of catheter ablation, a benefit–risk assessment should be carried out. This can be performed with risk scores such as the recently published “Risk in Ventricular Ablation (RIVA) Score”. We sought to validate this score and to test for possible additional predictors in a large database of VT ablations. Methods and results We analyzed 1964 catheter ablations for VA in patients with (1069; 54.4%) and without (893, 45.6%) structural heart disease (SHD) and observed an overall major adverse event rate of 4.0% with an in-hospital mortality of 1.3% with significantly less complications occurring in patients without structural heart disease (6.5% vs. 1.1%; p  ≤ 0.01). The RIVA Score demonstrated to be a valid predictive tool for major in-hospital complications (OR 1.18; 95% CI 1.12, 1.25; p  ≤ 0.001). NYHA Class ≥ III (OR 2.5; 95% CI 1.5, 4.2; p  < 0.001) and age (OR 1.04; 95% CI 1.02, 1.07; p  ≤ 0.001) proved to be additional predictive parameters. Hence, a modified RIVA Score (mRIVA) model was analyzed with a subset of established predictors (SHD, eGFR, epicardial puncture) as well as new predictive parameters (age, NYHA Class ≥ III), that achieved a higher predictive value for major complications compared with the model based on all RIVA variables. Conclusion Adding age and functional heart failure status (NYHA class) as simple clinical parameters to the recently published RIVA Score increases the predictive value for ablation-associated complications in a large VT ablations registry. Graphical abstract