Long term clinical outcomes in survivors after out-of-hospital cardiac arrest

Introduction and objectives: Information regarding long-term outcomes in patients surviving out-of-hospital cardiac arrest (OHCA) is scarce. Our aim was to study the long-term clinical outcomes of a large cohort of OHCA patients surviving until hospital discharge and to identify predictors of mortality and cardiovascular events. Methods: Consecutive OHCA patients admitted in the Acute Cardiac Care Unit who survived at least until hospital discharge between 2007 and 2019 were included. All received therapeutic hypothermia according to the local protocol. Pre- and intra-hospital clinical and analytical variables were analyzed, as well as the clinically relevant events during follow-up. Results: A total of 201 patients were included, with a mean age of 57.6 ± 14.2 years, 168 (83.6%) were male. Thirty-six (17.9%) died during a median follow-up of 40.3 months (18.9–69.1), the most frequent causes of death being cardiovascular and neurological, followed by cancer. We calculated a predictive model for mortality during follow-up using Cox regression that included the following variables: poor neurological outcome [HR 3.503 (1.578–7.777)], non-shockable rhythm [HR 2.926 (1.390–6.163)], time to onset of CPR [HR 1.063 (0.997–1.134)], older age [1.036 (1.008–1.064)) and worse ejection fraction at discharge [1.033 (1.009–1.058)]. Conclusions: Even though few patients experience recurrent cardiac arrest events, survivors after OHCA face high morbidity and mortality during long-term follow-up. Therefore, they may benefit from multidisciplinary teams providing an integral management and ensuring continuity of car

Heart failure in COVID-19 patients: prevalence, incidence and prognostic implications

Aims: Data on the impact of COVID-19 in chronic heart failure (CHF) patients and its potential to trigger acute heart failure (AHF) are lacking. The aim of this work was to study characteristics, cardiovascular outcomes and mortality in patients with confirmed COVID-19 infection and a prior diagnosis of heart failure (HF). Further aims included the identification of predictors and prognostic implications for AHF decompensation during hospital admission and the determination of a potential correlation between the withdrawal of HF guideline-directed medical therapy (GDMT) and worse outcomes during hospitalization. Methods and results: Data for a total of 3080 consecutive patients with confirmed COVID-19 infection and follow-up of at least 30 days were analysed. Patients with a previous history of CHF (n = 152, 4.9%) were more prone to the development of AHF (11.2% vs. 2.1%; P < 0.001) and had higher levels of N-terminal pro brain natriuretic peptide. In addition, patients with previous CHF had higher mortality rates (48.7% vs. 19.0%; P < 0.001). In contrast, 77 patients (2.5%) were diagnosed with AHF, which in the vast majority of cases (77.9%) developed in patients without a history of HF. Arrhythmias during hospital admission and CHF were the main predictors of AHF. Patients developing AHF had significantly higher mortality (46.8% vs. 19.7%; P < 0.001). Finally, the withdrawal of beta-blockers, mineralocorticoid receptor antagonists and angiotensin-converting enzyme inhibitors or angiotensin receptor blockers was associated with a significant increase in in-hospital mortality. Conclusions: Patients with COVID-19 have a significant incidence of AHF, which is associated with very high mortality rates. Moreover, patients with a history of CHF are prone to developing acute decompensation after a COVID-19 diagnosis. The withdrawal of GDMT was associated with higher mortalit

Valoración funcional, cognitiva y seguimiento clínico de supervivientes a largo plazo tras una parada cardíaca extrahospitalaria

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Medicina, Departamento de Medicina. Fecha de lectura: 14-07-2020Esta tesis tiene embargado el acceso al texto completo hasta el 14-01-202

Obstructive Sleep Apnea and Coronary Artery Disease: From Pathophysiology to Clinical Implications

Coronary artery disease (CAD) and obstructive sleep apnea (OSA) are both complex and significant clinical problems. The pathophysiological mechanisms that link OSA with CAD are complex and can influence the broad spectrum of conditions caused by CAD, from subclinical atherosclerosis to myocardial infarction. OSA remains a significant clinical problem among patients with CAD, and evidence suggesting its role as a risk factor for CAD is growing. Furthermore, increasing data support that CAD prognosis may be influenced by OSA and its treatment by continuous positive airway pressure (CPAP) therapy. However, stronger evidence is needed to definitely answer these questions. This paper focuses on the relationship between OSA and CAD from the pathophysiological effects of OSA in CAD, to the clinical implications of OSA and its treatment in CAD patients

Influence of statin treatment in a cohort of patients admitted for COVID-19

Aims and objectives: Statins have been proposed as potentially useful agents for modulating the host response in COVID-19. However, solid evidence-based recommendations are still lacking. Our aim was to study the association between statin use and clinical outcomes in a large cohort of hospitalized patients with SARS-CoV-2 infection, as well as the specific consequences of chronic treatment withdrawal during hospital admission. Material and methods: Retrospective observational study including 2191 hospitalized patients with confirmed SARS-CoV-2 infection. Results: Mean age was 68.0±17.8 years and 597 (27.3%) patients died during follow-up. A total of 827 patients (37.7% of the whole sample), received chronic treatment with statins. Even though they underwent more frequent admissions in critical care units, chronic treatment with statins was not independently associated with all-cause mortality [HR 0.95 (0.72-1.25)]. During the whole hospital admission, 371 patients (16.9%) received at least one dose of statin. Although these patients had a significantly worse clinical profile, both treatment with statins during admission [HR 1.03 (0.78-1.35)] and withdrawal of chronic statin treatment [HR 1.01 (0.78-1.30)] showed a neutral effect in mortality. However, patients treated with statins presented more frequently hepatic cytolysis, rhabdomyolysis and thrombotic/hemorrhagic events. Conclusions: In this large cohort of hospitalized COVID-19 patients, statins were not independently associated with all-cause mortality during follow-up. Clinically relevant statin-associated adverse effects should be carefully monitored during hospital admissio

Prediction of thromboembolic events and mortality by the CHADS<inf>2</inf>and the CHA<inf>2</inf>DS<inf>2</inf>-VASc in COVID-19

Aims: Age, sex, and cardiovascular disease have been linked to thromboembolic complications and poorer outcomes in COVID-19. We hypothesize that CHADS2 and CHA2DS2-VASc scores may predict thromboembolic events and mortality in COVID-19. Methods and results: COVID-19 hospitalized patients with confirmed SARS-CoV-2 infection from 1 March to 20 April 2020 who completed at least 1-month follow-up or died were studied. CHADS2 and CHA2DS2-VASc scores were calculated. Given the worse prognosis of male patients in COVID-19, a modified CHA2DS2-VASc score (CHA2DS2-VASc-M) in which 1 point was given to male instead of female was also calculated. The associations of these scores with laboratory results, thromboembolic events, and death were analysed. A total of 3042 patients (mean age 62.3 ± 20.3 years, 54.9% male) were studied and 115 (3.8%) and 626 (20.6%) presented a definite thromboembolic event or died, respectively, during the study period [median follow 59 (50-66) days]. Higher score values were associated with more marked abnormalities of inflammatory and cardiac biomarkers. Mortality was significantly higher with increasing scores for CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-M (P < 0.001 for trend). The CHA2DS2-VASc-M showed the best predictive value for mortality [area under the receiver operating characteristic curve (AUC) 0.820, P < 0.001 for comparisons]. All scores had poor predictive value for thromboembolic events (AUC 0.497, 0.490, and 0.541, respectively). Conclusion: The CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-M scores are significantly associated with all-cause mortality but not with thromboembolism in COVID-19 patients. They are simple scoring systems in everyday use that may facilitate initial 'quick' prognostic stratification in COVID-1