Aims An increase in out-of-hospital cardiac arrest (OHCA) incidence has been reported in the very early phase of the COVID-19 epidemic, but a clear demonstration of a correlation between the increased incidence of OHCA and COVID-19 is missing so far. We aimed to verify whether there is an association between the OHCA difference compared with 2019 and the COVID-19 epidemic curve. Methods and results We included all the consecutive OHCAs which occurred in the Provinces of Lodi, Cremona, Pavia, and Mantova in the 2 months following the first documented case of COVID-19 in the Lombardia Region and compared them with those which occurred in the same time frame in 2019. The cumulative incidence of COVID-19 from 21 February to 20 April 2020 in the study territory was 956 COVID-19/100 000 inhabitants and the cumulative incidence of OHCA was 21 cases/100 000 inhabitants, with a 52% increase as compared with 2019 (490 OHCAs in 2020 vs. 321 in 2019). A strong and statistically significant correlation was found between the difference in cumulative incidence of OHCA between 2020 and 2019 per 100 000 inhabitants and the COVID-19 cumulative incidence per 100 000 inhabitants both for the overall territory (ρ 0.87, P < 0.001) and for each province separately (Lodi: ρ 0.98, P < 0.001; Cremona: ρ 0.98, P < 0.001; Pavia: ρ 0.87, P < 0.001; Mantova: ρ 0.81, P < 0.001). Conclusion The increase in OHCAs in 2020 is significantly correlated to the COVID-19 pandemic and is coupled with a reduction in short-term outcome. Government and local health authorities should seriously consider our results when planning healthcare strategies to face the epidemic, especially considering the expected recurrent outbreaks.

In this contemporary study, overall serious adverse events after AM were lower than previously reported. However, patients with left ventricular ejection fraction <50%, ventricular arrhythmias, or low cardiac output syndrome at presentation were at higher risk compared with uncomplicated cases that had a benign prognosis and low risk of subsequent left ventricular systolic dysfunction.

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The role of hemodialysis (HD) as an arrhythmogenic event has recently been emphasized. We studied 18 patients by Holier monitoring, comparing the arrhythmogenic effect of acetate dialysis (AHD) and bicarbonate dialysis (BHD). The frequency of ventricular arrhythmias was 93 ± 66/h in AHD and 32 ± 26/h in BHD (p < 0.005). According to the classification of Lown and Graboys, classes III and IV were more often to be found in AHD than in BHD and no patient on BHD was in class IVB and class V. Five patients affected with ischemic heart disease had more frequent and dangerous ventricular arrhythmias than the others; a significant difference between buffers was recorded in all cases but 1. Intradialytic changes in body weight, hematocrit, osmolarity, ionized calcium and potassium during AHD and BHD were similar. The two methods only differed in the quickness and degree of correction of acidosis, and this was related to a significant difference in intraerythrocytic potassium at the end of the session. The quicker and more regular correction of acidosis with BHD and the consequent difference in ionic flows between the intra- and extracellular spaces, as demonstrated by changes in intraerythrocytic potassium at the end of the session, could account for the seemingly less arrhythmogenic effect of BHD.

Objectives The aim of the study was to confirm the value of the VALID‐cardiac resynchronization therapy (CRT) risk score in predicting outcome and to assess its association with clinical response (CR) in an unselected real‐world CRT population. Methods and Results The present analysis comprised all consecutive CRT patients (pts) enrolled in the CRT‐MORE registry from 2011 to 2013. Pts were stratified into five groups (quintiles 1‐5) according to the VALID‐CRT risk predictor index applied to the CRT‐MORE population. In the analysis of clinical outcome, adverse events comprised death from any cause and non‐fatal heart failure (HF) events requiring hospitalization. CR at 12‐month follow‐up was also assessed. We enrolled 905 pts. During a median follow‐up of 1005 [627‐1361] days, 134 patients died, and 79 had at least one HF hospitalization. At 12 months, 69% of pts displayed an improvement in their CR. The mean VALID‐CRT risk score derived from the CRT‐MOdular Registry (MORE) population was 0.317, ranging from −0.419 in Q1 to 2.59 in Q5. The risk‐stratification algorithm was able to predict total mortality after CRT (survival ranging from 93%‐Q1 to 77%‐Q5; hazards ratio [HR] = 1.42, 95% confidence interval [CI]: 1.25‐1.61, P < .0001), and HF hospitalization (ranging from 95% to 90%; HR = 1.24, 95% CI: 1.06‐1.45, P = .009). CR was significantly lower in pts with a high‐to‐very high risk profile (Q4‐5) than in pts with a low‐to‐intermediate risk profile (Q1‐2‐3) (55% vs 79%, P < .0001). Conclusion The VALID‐CRT risk‐stratification algorithm reliably predicts outcome and CRT response after CRT in an unselected, real‐world population.