Surviving Sudden Cardiac Arrest: A Pilot Qualitative Survey Study of Survivors

2016 ◽  
Vol 6 (2) ◽  
pp. 76-84 ◽  
Author(s):  
Kelly N. Sawyer ◽  
Frances Brown ◽  
Roxanne Christensen ◽  
Colleen Damino ◽  
Mary M. Newman ◽  
...  
Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Alex Presciutti ◽  
Jonathan Greenberg ◽  
Ethan Lester ◽  
Mary M Newman ◽  
Jonathan Elmer ◽  
...  

Introduction: We sought to identify correlates with psychological symptoms in long-term cardiac arrest (CA) survivors. Mindfulness, or nonjudgmental awareness of the present moment, is a modifiable protective factor against psychological symptoms in various clinical populations and could be a potential treatment target for CA survivors. Methods: We conducted a longitudinal survey study between 10-11/2019 (baseline) and 10-11/2020 (1-year follow-up) with long-term CA survivor members of the Sudden Cardiac Arrest Foundation. We collected demographic and CA characteristics at baseline. At both timepoints, we assessed posttraumatic stress symptoms (PTS) through the PTSD Checklist-5 (PCL-5) and depression and anxiety symptoms through the Patient Health Questionnaire-4 (PHQ-4). At follow-up, we assessed mindfulness through the Cognitive and Affective Mindfulness Scale-Revised (CAMS-R). We used adjusted linear regression to predict 1-year PCL-5 and PHQ-4 scores, with particular consideration of the CAMS-R as a cross-sectional correlate of outcome. Results: We included 129 CA survivors (mean age: 52 years, 52% male, 98% white). At 1-year follow-up, in adjusted models, CAMS-R (β: -0.35, p <0.001) and baseline PCL-5 scores (β: 0.56, p <0.001) were associated with 1-year PCL-5 scores. CAMS-R (β: -0.34, p <0.001) and baseline PHQ-4 scores were associated with 1-year PHQ-4 scores (β: 0.37, p<0.001). Conclusion: Mindfulness was inversely associated with psychological symptoms in long-term CA survivors. Future studies should examine the longitudinal relationship of mindfulness and psychological symptoms after CA.


Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001554
Author(s):  
Laura H van Dongen ◽  
Peter P Harms ◽  
Mark Hoogendoorn ◽  
Dominic S Zimmerman ◽  
Elisabeth M Lodder ◽  
...  

IntroductionEarly recognition of individuals with increased risk of sudden cardiac arrest (SCA) remains challenging. SCA research so far has used data from cardiologist care, but missed most SCA victims, since they were only in general practitioner (GP) care prior to SCA. Studying individuals with type 2 diabetes (T2D) in GP care may help solve this problem, as they have increased risk for SCA, and rich clinical datasets, since they regularly visit their GP for check-up measurements. This information can be further enriched with extensive genetic and metabolic information.AimTo describe the study protocol of the REcognition of Sudden Cardiac arrest vUlnErability in Diabetes (RESCUED) project, which aims at identifying clinical, genetic and metabolic factors contributing to SCA risk in individuals with T2D, and to develop a prognostic model for the risk of SCA.MethodsThe RESCUED project combines data from dedicated SCA and T2D cohorts, and GP data, from the same region in the Netherlands. Clinical data, genetic data (common and rare variant analysis) and metabolic data (metabolomics) will be analysed (using classical analysis techniques and machine learning methods) and combined into a prognostic model for risk of SCA.ConclusionThe RESCUED project is designed to increase our ability at early recognition of elevated SCA risk through an innovative strategy of focusing on GP data and a multidimensional methodology including clinical, genetic and metabolic analyses.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
N Zylyftari ◽  
S.G Moller ◽  
M Wissenberg ◽  
F Folke ◽  
C.A Barcella ◽  
...  

Abstract Background Patients who suffer a sudden out-of-hospital cardiac arrest (OHCA) may be preceded by warning symptoms and healthcare system contact. Though, is currently difficult early identification of sudden cardiac arrest patients. Purpose We aimed to examine contacts with the healthcare system up to two weeks and one year before OHCA. Methods OHCA patients were identified from the Danish Cardiac Arrest Registry (2001–2014). The pattern of healthcare contacts (with either general practitioner (GP) or hospital) within the year prior to OHCA of OHCA patients was compared with that of 9 sex- and age-matched controls from the background general population. Additionally, we evaluated characteristics of OHCA patients according to the type of healthcare contact (GP/hospital/both/no-contact) and the including characteristics of contacts, within two weeks prior their OHCA event. Results Out of 28,955 OHCA patients (median age of 72 (62–81) years and with 67% male) of presumed cardiac cause, 16,735 (57.8%) contacted the healthcare system (GP and hospital) within two weeks prior to OHCA. From one year before OHCA, the weekly percentages of contacts to GP were relatively constant (26%) until within 2 weeks prior to OHCA where they markedly increased (54%). In comparison, 14% of the general population contacted the GP during the same period (Figure). The weekly percentages of contacts with hospitals gradually increased in OHCA patients from 3.5% to 6.5% within 6 months, peaking at the second week (6.8%), prior to OHCA. In comparison, only 2% of the general population had a hospital contact in that period (Figure). Within 2 weeks of OHCA, patients contacted GP mainly by telephone (71.6%). Hospital diagnoses were heterogenous, where ischemic heart disease (8%) and heart failure (4.5%) were the most frequent. Conclusions There is an increase in healthcare contacts prior to “sudden” OHCA and overall, 54% of OHCA-patients had contacted GP within 2 weeks before the event. This could have implications for developing future strategies for early identification of patients prior to their cardiac arrest. Figure 1. The weekly percentages of contacts to GP (red) and hospital (blue) within one year before OHCA comparing the OHCA cases to the age- and sex-matched control population (N cases = 28,955; N controls = 260,595). Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): European Union's Horizon 2020


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