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Depolarization-blocking drugs (DB drugs) used for cardiac disease increase the risk of cardiac arrhythmia (ventricular tachycardia/ventricular fibrillation [VT/VF]) and out-of-hospital cardiac arrest (OHCA) in specific patient groups. However, it is unknown whether drugs for non-cardiac disease that block cardiac depolarization as the off-target effect increase the risk of OHCA on a population level. Therefore, we aimed to investigate OHCA risk of non-cardiac, DB drugs in the community. We conducted a population-based case-control study. We included OHCA cases from an emergency-medical-services-attended OHCA registry in the Netherlands (ARREST:2009–2018), and age/sex/OHCA-date matched non-OHCA controls. We calculated adjusted odds ratios (ORadj) of use of non-cardiac DB drugs for OHCA using conditional logistic regression. Stratified analyses were performed according to first-registered rhythm (VT/VF or non-VT/VF), sex, and age (≤50, 50–70, or ≥70 years). We included 5473 OHCA cases of whom 427 (7.8%) used non-cardiac, DB drugs and 21,866 non-OHCA controls of whom 835 (3.8%) used non-cardiac, DB drugs and found that non-cardiac, DB-drug use was associated with increased OHCA-risk when compared to no use (ORadj1.6[95%-CI:1.4–1.9]). Stratification by first-recorded rhythm revealed that this applied to OHCA with non-VT/VF (asystole) (ORadj2.5[95%-CI:2.1–3.0]) but not with VT/VF (ORadj1.0[95%-CI:0.8–1.2]; p-value interaction < 0.001). The risk was higher in women (ORadj1.8[95%-CI:1.5–2.2] than in men (ORadj1.5[95%-CI:1.2–1.8]; p-value interaction = 0.030) and at younger ages (ORadj≥70yrs1.4[95%-CI:1.2–1.7]; ORadj50–70yrs1.7[95%-CI:1.4–2.1]; ORadj≤50yrs3.2[95%-CI:2.1–5.0]; p-value interaction < 0.001). Use of non-cardiac, DB drugs is associated with increased OHCA risk. This increased risk occurred in patients in whom non-VT/VF was the first-registered rhythm, and it occurred in both sexes but more prominently among women and more strongly in younger patients (≤50 years). [ABSTRACT FROM AUTHOR]

Aims: A few studies suggested that epilepsy and antiepileptic drugs with sodium channel‐blocking properties were independently associated with out‐of‐hospital cardiac arrest (OHCA). However, these findings have not yet been replicated. Methods: Using Danish registries, we conducted a nested case–control study in a cohort of individuals between 1 June 2001 and 31 December 2015. Cases were defined as OHCA from presumed cardiac causes, and were matched with non‐OHCA‐controls based on sex, and age on the date of OHCA. Exposure of interest was epilepsy or antiepileptic drug use. To study the association between individual antiepileptic drug use and the rate of OHCA, we compared each antiepileptic drug with valproic acid. Cox regression with time‐dependent covariates was conducted to calculate hazard ratio (HR) and 95% confidence interval (CI). Results: We identified 35 195 OHCA‐cases and 351 950 matched non‐OHCA controls. Epilepsy (cases: 3.58%, controls: 1.60%) was associated with increased rate of OHCA compared with the general population (HR: 1.76, 95%CI: 1.64–1.88) when common OHCA risk factors were taken into account. When we studied antiepileptic drug use, we found that 2 antiepileptic drugs without sodium channel blockage, clonazepam (HR: 1.88, 95%CI: 1.45–2.44) and pregabalin (HR: 1.33, 95%CI: 1.05–1.69), were associated with OHCA, whereas none of the antiepileptic drugs with sodium channel blockage were associated with OHCA. Conclusion: Epilepsy is associated with increased rate of OHCA. Our findings do not support a possible association between antiepileptic drugs with sodium channel‐blocking properties and OHCA. [ABSTRACT FROM AUTHOR]

Conflicting results have been reported regarding the association between antidepressant use and out‐of‐hospital cardiac arrest (OHCA) risk. We investigated whether the use of antidepressants is associated with OHCA. Methods: We conducted a nationwide nested case–control study to assess the association of individual antidepressant drugs within drug classes with the hazard of OHCA. Cases were defined as OHCA from presumed cardiac causes. Cox regression with time‐dependent exposure and time‐dependent covariates was conducted to calculate hazard ratios (HR) and 95% confidence intervals (95% CIs) overall and in subgroups defined by established cardiac disease and cardiovascular risk factors. Also, we studied antidepressants with and without sodium channel blocking or potassium channel blocking properties separately. Results: During the study period from 2001 to 2015 we observed 10 987 OHCA cases, and found increased OHCA rate for high‐dose citalopram (>20 mg) and high‐dose escitalopram (>10 mg; HR:1.46 [95% CI:1.27–1.69], HR:1.43 [95% CI:1.16–1.75], respectively) among selective serotonin reuptake inhibitors (reference drug sertraline), and for high‐dose mirtazapine (>30; HR:1.59 [95% CI:1.18–2.14]) among the serotonin–norepinephrine reuptake inhibitors or noradrenergic and specific serotonergic antidepressants (reference drug duloxetine). Among tricyclic antidepressants (reference drug amitriptyline), no drug was associated with significantly increased OHCA rate. Increased OHCA rate was found for antidepressants with known potassium channel blocking properties (HR:1.14 [95% CI:1.05–1.23]), but for not those with sodium channel blocking properties. Citalopram, although not statistically significant, and mirtazapine were associated with increased OHCA rate in patients without cardiac disease and cardiovascular risk factors. Conclusion: Our findings indicate that careful titration of citalopram, escitalopram and mirtazapine dose may have to be considered due to drug safety issues. [ABSTRACT FROM AUTHOR]

Aim: Activated blood platelet products facilitate myocardial intracellular Ca2+ overload, thereby provoking afterdepolarizations and increasing susceptibility of ischemic myocardium to ventricular fibrillation (VF). These effects are counteracted in vitro by acetylsalicylic acid (ASA), but no prior study investigated whether ASA is associated with decreased out-of-hospital cardiac arrest (OHCA) risk on a population level. Therefore, we studied whether ASA and other antiplatelet drugs (carbasalate calcium, clopidogrel) are associated with decreased risk of OHCA. Methods: We conducted a population-based case-control study among individuals (772 OHCA-cases with documented VT/VF, 2444 non-OHCA-controls) who had used antiplatelet drugs in the year before index-date (OHCA-date), and studied the association between current antiplatelet drug use and OHCA-risk with multivariable logistic regression analysis. Results: ASA use was associated with reduced OHCA-risk (adjusted odds ratio (ORadj) 0.6 [0.5–0.8]), and more so in women (ORadj 0.3 [0.2–0.6]) than in men (ORadj 0.7 [0.5–0.95], Pinteraction 0.021). Carbasalate calcium was associated with decreased OHCA-risk in women (ORadj 0.5 [0.3–0.9]), but not in men (ORadj 1.3 [0.96–1.7], Pinteraction 0.005). Clopidogrel was not associated with reduction in OHCA-risk. Risk reduction associated with ASA in patients with OHCA was similar in the presence of acute myocardial infarction (AMI) (ORadj 0.6 [0.4–0.9]) and in the absence of AMI (ORadj 0.7 [0.4–1.2]). Conclusion: ASA use was associated with reduced OHCA-risk in both sexes, and more so in women, while carbasalate calcium only protected women. Clopidogrel was not associated with reduced OHCA-risk. [ABSTRACT FROM AUTHOR]

Aims: Opioid use has substantially increased in the last decade and is associated with overdose mortality, but also with increased mortality from cardiovascular causes. This finding may partly reflect an association between opioids and out‐of‐hospital cardiac arrest (OHCA). Therefore, we aimed to investigate OHCA‐risk of opioids in the community. Methods: We conducted 2 population‐based case–control studies separately in the Netherlands (2009–2018) and Denmark (2001–2015). Cases were individuals who experienced OHCA of presumed cardiac cause. Each case was matched with up to 5 non‐OHCA‐controls according to age, sex and OHCA‐date. Conditional logistic regression analysis was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Results: We included 5473 OHCA‐cases matched with 21 866 non‐OHCA‐controls in the Netherlands, and 35 017 OHCA‐cases matched with 175 085 non‐OHCA‐controls in Denmark. We found that use of opioids (the Netherlands: cases: 5.4%, controls: 1.8%; Denmark: cases: 11.9%, controls: 4.4%) was associated with increased OHCA‐risk in both regions (the Netherlands: OR 2.1 [95% CI 1.8–2.5]; Denmark: OR 1.8 [95% CI 1.5–2.1]). The association was observed in both sexes, and in individuals with cardiovascular disease (the Netherlands: OR 1.8 [95% CI 1.5–2.1]; Denmark: OR 1.6 [95% CI 1.5–1.7]) or without (the Netherlands: OR 3.4 [95% CI: 2.4–4.8], Pinteraction <.0001; Denmark: OR 2.3 [95% CI: 2.0–2.5], Pinteraction <.0001). Conclusion: Use of opioids is associated with increased OHCA‐risk in both sexes, independently of concomitant cardiovascular disease. These findings should be considered when evaluating the harms and benefits of treatment with opioids. [ABSTRACT FROM AUTHOR]

Aims: Drugs that prolong the QT interval, either by design (cardiac QT‐prolonging drugs: anti‐arrhythmics) or as off‐target effect (non‐cardiac QT‐prolonging drugs), may increase the risk of ventricular arrhythmias and out‐of‐hospital cardiac arrest (OHCA). Risk mitigation measures were instituted, in particular, surrounding prescription of cardiac QT‐prolonging drugs. We studied OHCA risk of both drug types in current clinical practice. Methods: Using data from large population‐based OHCA registries in the Netherlands and Denmark, we conducted two independent case–control studies. OHCA cases with presumed cardiac causes were matched on age/sex/index date with up to five non‐OHCA controls. We calculated odds ratios (ORs) for the association of cardiac or non‐cardiac QT‐prolonging drugs with OHCA risk using conditional logistic regression analyses. Results: We identified 2503 OHCA cases and 10 543 non‐OHCA controls in the Netherlands, and 35 017 OHCA cases and 175 085 non‐OHCA controls in Denmark. Compared to no use of QT‐prolonging drugs, use of non‐cardiac QT‐prolonging drugs (Netherlands: cases: 3.0%, controls: 1.9%; Denmark: cases: 14.9%, controls: 7.5%) was associated with increased OHCA risk (Netherlands: OR 1.37 [95% CI: 1.03–1.81]; Denmark: OR 1.63 [95% CI: 1.57–1.70]). The association between cardiac QT‐prolonging drugs (Netherlands: cases: 4.0%, controls: 2.5%; Denmark: cases: 2.1%, controls: 0.9%) and OHCA was weaker (Netherlands: OR 1.17 [95% CI: 0.92–1.50]; Denmark: OR 1.21 [95% CI: 1.09–1.33]), although users of cardiac QT‐prolonging drugs had more medication use and comorbidities associated with OHCA risk than users of non‐cardiac QT‐prolonging drugs. Conclusion: In clinical practice, cardiac QT‐prolonging drugs confer lower OHCA risk than non‐cardiac QT‐prolonging drugs, although users of the former have higher a priori risk. This is likely due to risk mitigation measures surrounding prescription of cardiac QT‐prolonging drugs. [ABSTRACT FROM AUTHOR]

Aims: Out‐of‐hospital cardiac arrest (OHCA) mostly results from ventricular tachycardia/ventricular fibrillation (VT/VF), often triggered by acute myocardial infarction (AMI). Sulfonylurea (SU) antidiabetics can block myocardial ATP‐regulated K+ channels (KATP channels), activated during AMI, thereby modulating action potential duration (APD). We studied whether SU drugs impact on OHCA risk, and whether these effects are related to APD changes. Methods: We conducted a population‐based case–control study in 219 VT/VF‐documented OHCA cases with diabetes and 697 non‐OHCA controls with diabetes. We studied the association of SU drugs (alone or in combination with metformin) with OHCA risk compared to metformin monotherapy, and of individual SU drugs compared to glimepiride, using multivariable logistic regression analysis. We studied the effects of these drugs on APD during simulated ischaemia using patch‐clamp studies in human induced pluripotent stem cell‐derived cardiomyocytes. Results: Compared to metformin, use of SU drugs alone or in combination with metformin was associated with reduced OHCA risk (ORSUdrugs‐alone 0.6 [95% CI 0.4–0.9], ORSUdrugs + metformin 0.6 [95% CI 0.4–0.9]). We found no differences in OHCA risk between SU drug users who suffered OHCA inside or outside the context of AMI. Reduction of OHCA risk compared to glimepiride was found with gliclazide (ORadj 0.5 [95% CI 0.3–0.9]), but not glibenclamide (ORadj 1.3 [95% CI 0.6–2.7]); for tolbutamide, the association with reduced OHCA risk just failed to reach statistical significance (ORadj 0.6 [95% CI 0.3–1.002]). Glibenclamide attenuated simulated ischaemia‐induced APD shortening, while the other SU drugs had no effect. Conclusions: SU drugs were associated with reduced OHCA risk compared to metformin monotherapy, with gliclazide having a lower risk than glimepiride. The differential effects of SU drugs are not explained by differential effects on APD. [ABSTRACT FROM AUTHOR]

Patients with sleep apnea (SA) are at increased cardiovascular risk. However, little is known about the risk of out-of-hospital cardiac arrest (OHCA) in patients with SA. Therefore, we studied the relation between SA patients who did and did not receive continuous positive airway pressure (CPAP) therapy with OHCA in the general population. Using nationwide databases, we conducted a nested case-control study with OHCA-cases of presumed cardiac causes and age/sex/OHCA-date matched non-OHCA-controls from the general population. Conditional logistic regression models with adjustments for well-known OHCA risk factors were performed to generate odds ratio (OR) of OHCA comparing patients with SA receiving and not receiving CPAP therapy with individuals without SA. We identified 46,578 OHCA-cases and 232,890 matched non-OHCA-controls [mean: 71 years, 68.8% men]. Compared to subjects without SA, having SA without CPAP therapy was associated with increased odds of OHCA after controlling for relevant confounders (OR:1.20, 95%-Cl:1.06–1.36), while having SA with CPAP therapy was not associated with OHCA (OR:1.04, 95%-Cl:0.93–1.36). Regardless of CPAP therapy, age and sex did not significantly influence our findings. Our findings were confirmed in: (I) patients with neither ischemic heart disease nor heart failure (untreated SA, OR:1.24, 95%-CI:1.04–1.47; SA with CPAP, OR:1.08, 95%-CI:0.93–1.25); and (II) in patients without cardiovascular disease (untreated SA, OR:1.33, 95%-CI:1.07–1.65; SA with CPAP, OR:1.14, 95%-CI:0.94–1.39). SA not treated with CPAP was associated with OHCA, while no increased risk of OHCA was found for SA patients treated with CPAP. [ABSTRACT FROM AUTHOR]