A 15-year old presents after successful resuscitation with an AED

2022 ◽  
pp. 149-151
Author(s):  
Vincent C. Thomas ◽  
Seshadri Balaji
Author(s):  
Johnni Resdal Dideriksen ◽  
Morten K Christiansen ◽  
Jens B Johansen ◽  
Jens C Nielsen ◽  
Henning Bundgaard ◽  
...  

Abstract Aims Atrioventricular block (AVB) of unknown aetiology is rare in the young, and outcome in these patients is unknown. We aimed to assess long-term morbidity and mortality in young patients with AVB of unknown aetiology. Methods and results We identified all Danish patients younger than 50 years receiving a first pacemaker due to AVB between January 1996 and December 2015. By reviewing medical records, we included patients with AVB of unknown aetiology. A matched control cohort was established. Follow-up was performed using national registries. The primary outcome was a composite endpoint consisting of death, heart failure hospitalization, ventricular tachyarrhythmia, and cardiac arrest with successful resuscitation. We included 517 patients, and 5170 controls. Median age at first pacemaker implantation was 41.3 years [interquartile range (IQR) 32.7–46.2 years]. After a median follow-up of 9.8 years (IQR 5.7–14.5 years), the primary endpoint had occurred in 14.9% of patients and 3.2% of controls [hazard ratio (HR) 3.8; 95% confidence interval (CI) 2.9–5.1; P < 0.001]. Patients with persistent AVB at time of diagnosis had a higher risk of the primary endpoint (HR 10.6; 95% CI 5.7–20.0; P < 0.001), and risk was highest early in the follow-up period (HR 6.8; 95% CI 4.6–10.0; P < 0.001, during 0–5 years of follow-up). Conclusion Atrioventricular block of unknown aetiology presenting before the age of 50 years and treated with pacemaker implantation was associated with a three- to four-fold higher rate of the composite endpoint of death or hospitalization for heart failure, ventricular tachyarrhythmia, or cardiac arrest with successful resuscitation. Patients with persistent AVB were at higher risk. These findings warrant improved follow-up strategies for young patients with AVB of unknown aetiology.


2003 ◽  
Vol 50 (1) ◽  
pp. 62-66 ◽  
Author(s):  
Jean-Christophe Favier ◽  
Manuel Da Conceiçao ◽  
Mikaïla Fassassi ◽  
Laurent Allanic ◽  
Thierry Steiner ◽  
...  

2021 ◽  
Author(s):  
Takayuki Oyanagi ◽  
Kentaro Tomita ◽  
Munehiro Furuichi ◽  
Masayoshi Shinjoh ◽  
Hiroyuki Yamagishi

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Vaikhanskaya ◽  
L.N Sivitskaya ◽  
A.D Liaudanski ◽  
N.G Danilenko ◽  
O.G Davydenko

Abstract   Presence of morphological sign as a left ventricular non-compaction (LVNC) only, without supporting clinical criteria, does not determine diagnosis of non-compaction cardiomyopathy (NCCM). Objective To study of the spectrum of NCCM-associated genes, analysis of phenotype-genotype correlations and predictors of life-threatening ventricular tachyarrhythmia (ltVTA), myocardial fibrosis, and adverse outcome. Methods Of 93 pts with identified (Echo/MRI) morphological criteria for LVNC (follow-up median 5,1 years), 60 unrelated pts were included in the study (aged 38.5±13.8 years; 33/55% male; LVEF 42.1±12.9%) with clinical confirmed NCCM (presence any one obligate criteria): family history, neuromuscular disorder, abnormal 12-lead ECG, arrhythmia, HF or thromboembolism (Figure). Genetic testing by NGS (174 genes) was performed; all variants considered as pathogenic (PV) and likely pathogenic (LPV) were confirmed by a Sanger sequencing. Baseline and follow-up data (ECG, HM, Echo, MRI, device interrogation) were collected. Combined adverse outcomes (HF death; SCD; LVAD; HTx; and ltVTA: VT/VF, successful resuscitation, ICD shock) were accepted as composite endpoint. Results PV and LPV were detected in 33 (55%) pts. The most common variants were identified in sarcomere genes – TTNtv, MYBPC3, and MYH7 (47.4%); ion channel genes – 18.2%; digenic mutations were found in 21.6% pts. Gene positivity was associated with systolic dysfunction (LVEF≤49%); the highest risk of low LVEF revealed for digenic carriers (OR 38; 95% CI 4.74–305; p=0.0001). According to CATREG analysis, predictive model was built (R=0,80; R2=0,65; F=10,1; p=0,0001); the presence of disease-causing PV/LPV (β=0.46; F=15.2; p=0,0001) along with low LVEF (β=−0.28; F= 5.96; p=0,018), fibrosis (β=0.21; F= 3.05; p=0,037), wide QRS (β=0.22; F= 4.11; p=0,011) were identified as independent predictors of adverse outcomes. As a result of ROC analysis, independent predictors of ltVTA were determined: fibrosis (nLGE≥2: AUC 0.824; 95% CI: 0.716–0.931; p=0.0001; sen 69%, spe 79%), systolic dysfunction (LVEF≤39%: AUC 0.832; 95% CI: 0.720–0.943; p=0.0001; sen 85%, spe 70%) and nsVT (HR≥150 bmp: AUC 0.829; 95% CI: 0.719–0.940; p=0.0001; sen 76%, spe 83%). According to ROC curves analysis, independent markers of myocardial fibrosis (LGE) were found: nsVT (HR≥150 bpm: AUC 0.766; 95% CI: 0.635–0.897; sen 80%, spe 77%); QRS fragmentation (nQRSfr≥4 leads ECG: AUC 0.822; 95% CI: 0.706–0.938; sen 76%, spe 92%); QTc duration (QTc≥450 ms: AUC 0.828; 95% CI: 0.722–0.935; sen 80%, spe 72%) and native MRI T1-relaxation (T1≥1086 ms: AUC 0.752; 95% CI: 0.626–0.879; sen 70%, spe 70%). Conclusion This results show a basically genetic causing NCCM with predominant mutations in sarcomere genes. As per predictive model, the strongest predictor of poor outcome was gene positivity. Identifying the genetic cause allows risk stratification and management optimization with counseling NCCM pts and their relatives. Study design Funding Acknowledgement Type of funding source: None


2007 ◽  
Vol 25 (6) ◽  
pp. 736.e3-736.e4 ◽  
Author(s):  
Yi-Jung Chen ◽  
Shih-Heng Chang ◽  
Ang Yuan ◽  
Chien-Hua Huang ◽  
Chien-Chang Lee

1987 ◽  
Vol 16 (11) ◽  
pp. 1195-1199 ◽  
Author(s):  
Louis A Cannon ◽  
Darell E Heiselman ◽  
James M Dougherty ◽  
Jeffrey Jones

2020 ◽  
Vol 37 (12) ◽  
pp. 825.1-825
Author(s):  
Ed Barnard ◽  
Daniel Sandbach ◽  
Tracy Nicholls ◽  
Alastair Wilson ◽  
Ari Ercole

Aims/Objectives/BackgroundOut-of-hospital cardiac arrest (OHCA) is prevalent in the UK. Reported survival is lower than in countries with comparable healthcare systems; a better understanding of outcome determinants may identify areas for improvement. Aim: to compare differential determinants of survival to hospital admission and survival to hospital discharge for traumatic (TCA) and non-traumatic cardiac arrest (NCTA).Methods/DesignAn analysis of 9109 OHCA in East of England between 1 January 2015 and 31 July 2017. Univariate descriptives and multivariable analysis were used to understand the determinants of survival for NTCA and TCA. Two Utstein outcome variables were used: survival to hospital admission and hospital discharge. Data reported as number (percentage), number (percentage (95% CI)) and median (IQR) as appropriate. Continuous data have been analysed with a Mann-Whitney U test, and categorical data have been analysed with a χ2 test. Analyses were performed using the R statistical programming language.Results/ConclusionsThe incidence of OHCA was 55.1 per 100 000 population/year. The overall survival to hospital admission was 27.6% (95%CI 26.7% to 28.6%) and the overall survival to discharge was 7.9% (95%CI 7.3% to 8.5%). Survival to hospital admission and survival to hospital discharge were both greater in the NTCA group compared with the TCA group: 27.9% vs 19.3% p=0.001, and 8.0% vs 3.8% p=0.012 respectively.Determinants of NTCA and TCA survival were different, and varied according to the outcome examined. In NTCA, bystander cardiopulmonary resuscitation (CPR) was associated with survival at discharge but not at admission, and the likelihood of bystander-CPR was dependent on geographical socioeconomic status.NTCA and TCA are clinically distinct entities with different predictors for outcome and should be reported separately. Determinants of survival to hospital admission and discharge differ in a way that likely reflects the determinants of neurological injury. Bystander CPR public engagement may be best focused in more deprived areas.


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