scholarly journals Predictors of sudden cardiac arrest in adolescents with mitral valve prolapse: an analysis of the nationwide inpatient sample

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
B Narasimhan ◽  
L Wu ◽  
C.H Lucas ◽  
K Bhatia ◽  
A Shah ◽  
...  

Abstract Background Mitral valve prolapse (MVP) is the most commonly encountered valvular pathology seen in 2–3% of the general population. Though traditionally regarded as a benign pathology, recent literature suggests that sudden cardiac death is significantly more common in these patients with estimates of 0.2–0.4%/year. The exact underlying mechanism of these higher rates of SCD remain poorly understood. In this study, we aim to identify predictors of sudden cardiac arrest (SCA) in an adolescent population. Methods We conducted a retrospective study using the AHRQ-HCUP National Inpatient Sample 2016-2017 for the years 2016-17. All patients (≤18 years) admitted with Mitral valve prolapse were identified using ICD-10 codes and further sub stratified based on presence or absence of sudden cardiac arrest (SCA). Baseline characteristics were obtained and multivariate regression analysis was utilized to identify potential predictors of SCA. Independent risk factors for in-hospital mortality were identified using a proportional hazards model. Complications were defined as per the Agency for Health Care Research and Quality guideline. Results We screened a total of 71,473,874 admissions in the NIS database to identify a total of 1,372 adolescent patients admitted with MVP in the years 2016–17. These patients were then sub-categorized based on presence or absence of SCA during the hospitalization. Our findings revealed that patients with SCA were generally slightly older (15y vs 13y, p=0.036, OR-1.1, p=0.007) and more likely female (83.3% vs 13%, p=0.227, OR – 3.55, p=0.57)). Interestingly, patients in the SCA cohort were noted to have almost 4 fold higher rates of Mitral regurgitation (66.6% vs 18.35%, p=0.008, OR-8.89, p=0.005) as well as family history of SCD (16.7% vs 4.1%, p=0.145, OR-4.65, p=0.14). Conclusions Presence of Mitral regurgitation and a family history of sudden cardiac death are associated with significantly higher rates of SCA in adolescent patients with mitral valve prolapse. Predictors of SCA in Adolescent MVP Funding Acknowledgement Type of funding source: None

2021 ◽  
Author(s):  
Geoffrey H Tison ◽  
Sean Abreau ◽  
Lisa Lim ◽  
Valentina Crudo ◽  
Joshua Barrios ◽  
...  

Background: Mitral valve prolapse (MVP) is a common valvulopathy, with a subset of MVP patients developing sudden cardiac death or cardiac arrest. Complex ventricular ectopy (ComVE) represents a marker of arrhythmic risk that is associated with myocardial fibrosis and increased mortality in MVP. We hypothesize that an ECG-based machine-learning model can identify MVP with ComVE and/or myocardial fibrosis on cardiac magnetic resonance (CMR) imaging. Methods: A deep convolutional neural network (CNN) was trained to detect ComVE using 6,916 12-lead ECGs from 569 MVP patients evaluated at the University of California San Francisco (UCSF) between 2012 and 2020. A separate CNN was also trained to detect late gadolinium enhancement (LGE) using 87 ECGs from MVP patients with contrast CMR. Results: The prevalence of ComVE was 160/569 or 28% (20 patients or 3% had cardiac arrest or sudden cardiac death). The area under the curve (AUC) of the CNN to detect ComVE was 0.81 (95% CI, 0.78-0.84). AUC remained high even after excluding patients with moderate-severe mitral regurgitation (MR) [0.80 (95% CI, 0.77-0.83)], or with bileaflet MVP [0.81 (95% CI, 0.76-0.85)]. The top ECG segments able to discriminate ComVE vs no ComVE were related to ventricular depolarization and repolarization (early-mid ST and QRS fromV1, V3, and III). LGE in the papillary muscles or basal inferolateral wall was present in 21 (24%) of 87 patients with available CMR. The AUC for detection of LGE was 0.75 (95% CI, 0.68-0.82). Conclusions: Standard 12-lead ECGs analyzed with machine learning can detect MVP at risk for ventricular arrhythmias and fibrosis and can identify novel ECG correlates of arrhythmic risk regardless of leaflet involvement or mitral regurgitation severity. ECG-based CNNs may help select those MVP patients requiring closer follow-up and/or a CMR. 


2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
M Guglielmo ◽  
L Fusini ◽  
G Muscogiuri ◽  
A Baggiano ◽  
A Loffreno ◽  
...  

Abstract BACKGROUND Several studies suggest that mitral valve prolapse (MVP) can be related to sudden cardiac death, owing to sustained ventricular arrhythmias (VAs). In patients with sudden cardiac death and complex VAs, a high percentage of either left ventricle (LV) papillary muscle fibrosis or inferobasal fibrosis has been described using cardiac magnetic resonance (CMR) with late gadolinium enhancement technique (LGE). However, LGE presents several technical limitations and requires contrast agent administration. Thanks to T1 mapping (T1-map) and feature tracking (FT) techniques, CMR may identify myocardial fibrosis and deformation abnormalities respectively. We sought to demonstrate that, in patients with MVP, T1 map can accurately identify the presence of myocardial fibrosis which, being related to myocardial stiffness, is associated to abnormal deformation indexes at CMR FT strain evaluation. METHODS Consecutive patientswith indication to mitral valve surgery for severe mitral regurgitation due to mitral valve prolapse were prospectively enrolled. CMR including Modified Look-Locker (MOLLI) sequences for T1 mapping was performed in each patient. In addition, CMR FT analysis of steady state free precession (SSFP) cine images was performed to obtain 2D global and segmental circumferential and radial strains. RESULTS 70 consecutive patients (age: 59 ± 12) were successfully evaluated with CMR. T1 native values were significantly higher in the basal and mid LV inferolateral wall compared to the remote myocardium (1074 ± 67 vs 1046 ± 40 msec, p< 0.001). Moreover, the average radial and circumferential strains of the basal and mid LV inferolateral were significantly reduced compared to those of the remote myocardium (21.1 ± 10.4 and -12.8 ± 5.6 vs 31.6 ± 9.1 and -17.3 ± 3.6 respectively, p < 0.001). CONCLUSIONS In patients with MVP and severe mitral regurgitation native T1 values of the LV inferolateral are higher as compared to remote myocardium and associated with reduced circumferential and radial strains. T1 mapping and CMR FT strain may be used as tools for the early identification of tissue changes in the LV inferolateral myocardial segment. Further studies are needed to evaluate if these changes are able to predict LGE development and are associated with higher risk for VAs


2018 ◽  
Vol 1 (46) ◽  
pp. 43-48
Author(s):  
Maria Posadowska ◽  
Maria Miszczak-Knecht ◽  
Alicja Mirecka-Rola ◽  
Katarzyna Bieganowska

We present a case of a 15-year-old girl after sudden cardiac arrest because of ventricular fibrillation. Hypertrophic cardiomyopathy was diagnosed. Family history of patient was positive – her uncle (mother’s brother) died suddenly at the age of 21, postmortem examination showed hypertrophic cardiomyopathy. The deceased man’s family was not under cardiac care. The presented case proves, that due to genetically determined cardiac diseases such as cardiomyopathies and channelopathies, all related family members should be examined cardiologically. Diagnosis of the disease in asymptomatic patients would allow the implementation of treatment and reduce the risk of a sudden cardiac arrest / sudden cardiac death.


2015 ◽  
Vol 65 (10) ◽  
pp. A751
Author(s):  
Swapna Kanuri ◽  
Pallavi Bellamkonda ◽  
Aryan Mooss

PEDIATRICS ◽  
1982 ◽  
Vol 70 (3) ◽  
pp. 451-454
Author(s):  
Stephen S. Hirschfeld ◽  
Charles Rudner ◽  
Clyde L. Nash ◽  
Eliezer Nussbaum ◽  
Eleanor M. Brower

Seventy-four patients with adolescent scoliosis underwent cardiac examination and M-mode echocardiography to detect the presence of mitral valve prolapse (MVP). Twenty-one (28%) had echocardiographic evidence of MVP, whereas 18 had auscultatory findings of a nonejection click or late systolic murmur. A subset of 41 patients had a family history of scoliosis and 37% had MVP. The incidence of MVP increased to 41% when a first degree relative, such as a sibling, parent, or offspring, had scoliosis. Thirty-six patients with scoliosis had additional thoracic hypokyphosis (straight back) and 13 (36%) had MVP. The incidence of MVP was 48% when the scoliosis and hypokyphosis were hereditary and increased to 53% when a familial history of skeletal abnormality was present. This study indicates a high incidence of MVP in patients with scoliosis and hypokyphosis, especially when the skeletal abnormality is familial. It suggests that the cardiac and skeletal systems may be affected by a generalized soft-tissue defect.


Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Kari S Kaikkonen ◽  
Marja-Leena Kortelainen ◽  
Heikki V Huikuri

Introduction. There is little information on the specific risk factors leading to sudden cardiac death (SCD) during an acute coronary event, because the risk variables may overlap with those of non-fatal coronary event. This study was designed to compare the risk profiles of SCD victims and survivors of an acute coronary event. Methods and Results. A case-control study included consecutive victims of SCD (n=425, mean age 64±11 years) verified to be due to an acute coronary event at medicolegal autopsy and consecutive patients surviving an acute myocardial infarction (AMI, n=644, mean age 62±10 years). Common cardiovascular risk factors, cardiac hypertrophy, and severity of coronary artery disease (CAD) were assessed in both groups. Family history of SCD (odds ratio 1.5, 95% CI 1.0 to 2.2, p=0.03), male gender (odds ratio 1.8, 95% CI 1.3 to 2.4, p<0.001), current smoking (odds ratio 2.0, 95% CI 1.5 to 2.6, p<0.001), cardiac hypertrophy (odds ratio 3.0, 95% CI 2.3 to 3.9, p<0.001) and 3-vessel CAD (odds ratio 5.4, 95% CI 3.6 to 8.2, p<0.001) were more common among the victims of SCD as compared to survivors of AMI. On the contrary, history of hypercholesterolemia (p<0.001) was less common among the SCD victims. There was a cumulative increase of risk of being a SCD victim vs. AMI survivor when more than one risk factor was present, the odds ratio being 44.3 (95% CI 8.0 to 246.7) in a current male smoker with a family history of SCD and cardiac hypertrophy. When 3-vessel CAD was added to the combined risk score, all subjects (7% of the SCD victims) were in the group of SCD giving a 100% sensitivity and specificity, respectively, in differentiating between the SCD victims and AMI survivors. Conclusions. There are specific features that differentiate the victims of SCD from survivors of an acute coronary event. Clustering of several variables, such as family history of SCD, smoking, cardiac hypertrophy, and 3-vessel CAD indicate a very high risk of SCD.


EP Europace ◽  
2020 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
R Zhang ◽  
I T Fazmin ◽  
A Porto ◽  
K Divulwewa ◽  
A Reddy ◽  
...  

Abstract Introduction Little is known regarding the aetiology or outcome of atrial fibrillation (AF) occurring in young adults. This retrospective analysis was performed to explore the demographics and efficacy of AF ablation in this population. Methods Patients were included who had undergone ≥1 AF ablation under the age of 40 between 2006-2018. Recurrence was defined as return of either documented AF or previous symptoms for &gt;30s following a 3-month blanking period. Initial exploratory co-variates were included in a univariate analysis and those terms with P-value of &lt;0.1 were then used to generate a Cox proportional-hazards multivariate model. Results 124 patients (33.6 ± 4.7 yrs, 77% men), initially presenting with paroxysmal AF (pAF; n = 97) or persistent AF (n = 27), underwent 175 AF ablation procedures. 22.6% (n = 28) also had atrial flutter. Time from symptom onset to first ablation was 50.7 ± 46.2 months. Relevant cardiovascular-related demographics were analysed: hypertension in 8.9% (n = 11); diabetes in 1.6% (n = 2); positive family history of AF in 12.9% (n = 16); and family history of sudden cardiac death in 2.4% (n = 3). Mean CHA2DS2-VASc score was 0.35. Of those patients with documented echocardiogram imaging (n = 91), 26.4% (n = 24) had LA dilatation and 6.6% (n = 6) had LV dysfunction. Patients with LA dilatation underwent more ablations (2.3 ± 0.3) compared to controls (1.5 ± 0.1; p &lt; 0.001). Ablation strategy was pulmonary vein isolation (PVI) only in 67.2% (n = 119), with additional ablation in the remaining: roof line in 18.9% (n = 33); cavotricuspid isthmus line in 13.1% (n = 23); mitral isthmus line in 2.3% (n = 4); superior vena cava isolation in 2.3% (n = 4); complex fractionated atrial electrograms in 14.9% (n = 26). Mean procedure time was 155 ± 41 min, mean ablation time was 1657 ± 991 s and mean fluoroscopy time was 32.6 ± 23.4 min. General anaesthesia was used in 43.4% (n = 76). Complications included femoral haematoma (n = 2), tamponade (n = 1) and pulmonary vein stenosis (n = 2). 90 days of follow-up was available for 137 procedures performed for pAF (n = 105) and persistent AF (n = 32). For pAF, overall recurrence was 61.9% for first ablations and 62.9% overall. Recurrence was 56.3% for persistent AF. Factors significantly associated with increased AF recurrence in univariate analysis were male gender (hazard ratio (HR) 2.3, 95% confidence interval (CI): 1.2-4.4, p = 0.011), hypertension (HR 0.5, CI: 0.2-1.1, p = 0.067), family history of sudden cardiac death (HR 6.8, CI: 1.6-29.0 , p = 0.010) and enlarged LA size (HR 2.2, CI: 1.3-3.6, p = 0.003). In multivariate analysis, the only significant predictor of poor outcome was enlarged LA size (HR 2.0, 95% CI: 1.2-3.5, p = 0.011). Conclusions Young patients with AF may have structurally abnormal hearts, and therefore do not only present with lone AF. LA size may be used as a predictor for success. Surveillance imaging may be useful to detect future structural change, which will be the subject of future prospective studies. Abstract Figure. AF ablation recurrence in young adults


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