The PAINESD risk score was developed in 2015 as a tool to stratify the risk of acute hemodynamic decompensation during ventricular tachycardia (VT) ablation in structural heart disease patients and… Click to show full abstract
The PAINESD risk score was developed in 2015 as a tool to stratify the risk of acute hemodynamic decompensation during ventricular tachycardia (VT) ablation in structural heart disease patients and further then used for post procedure 30-day mortality prediction. The original cohort however did not include Chagas disease (ChD) patients. We aim to evaluate the relevance of the score in a ChD population. The PAINESD risk score gives weighted values for specific characteristics (chronic obstructive pulmonary disease, age > 60 years, ischemic cardiomyopathy, New York Heart Association [NYHA] functional class 3 or 4, ejection fraction less than 25%, VT storm, and diabetes). The score was applied in a retrospective cohort of ChD VT ablations in a single tertiary center in Brazil. Data were collected by VT study reports and patient record analysis at baseline and on follow-up. Between January 2013 and December 2018, 157 VT catheter ablation procedures in 121 ChD patients were analyzed. Overall, 30-day mortality was 9.0%. Multivariate analysis correlated NYHA functional class (HR 1.78, 95% CI 1.03–3.08, P 0.038) and the need for urgent surgery (HR 31.5, 95% CI 5.38–184.98, P < 0.001), as well as a tendency for VT storm at presentation (HR 2.72, 95% CI 0.87–8.50, P 0.084) as risk factors for the primary endpoint. The median PAINESD risk score in this population was 3 (3–8). The area under the receiver operating characteristic (ROC) curve was 0.64 (95% CI 0.479–0.814). The PAINESD risk score did not perform well in predicting 30-day mortality in ChD patients. Pre-procedure NYHA functional class and the need for urgent surgery due to refractory pericardial bleeding were independently associated with increased 30-day mortality. Prospective studies are needed to take final conclusions in Chagas disease when using PAINESD score.
               
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