Browsing by Author "Perez, Marco V"
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Item Open Access An International Multicenter Evaluation of Type 5 Long QT Syndrome: A Low Penetrant Primary Arrhythmic Condition.(Circulation, 2020-02) Roberts, Jason D; Asaki, S Yukiko; Mazzanti, Andrea; Bos, J Martijn; Tuleta, Izabela; Muir, Alison R; Crotti, Lia; Krahn, Andrew D; Kutyifa, Valentina; Shoemaker, M Benjamin; Johnsrude, Christopher L; Aiba, Takeshi; Marcondes, Luciana; Baban, Anwar; Udupa, Sharmila; Dechert, Brynn; Fischbach, Peter; Knight, Linda M; Vittinghoff, Eric; Kukavica, Deni; Stallmeyer, Birgit; Giudicessi, John R; Spazzolini, Carla; Shimamoto, Keiko; Tadros, Rafik; Cadrin-Tourigny, Julia; Duff, Henry J; Simpson, Christopher S; Roston, Thomas M; Wijeyeratne, Yanushi D; El Hajjaji, Imane; Yousif, Maisoon D; Gula, Lorne J; Leong-Sit, Peter; Chavali, Nikhil; Landstrom, Andrew P; Marcus, Gregory M; Dittmann, Sven; Wilde, Arthur AM; Behr, Elijah R; Tfelt-Hansen, Jacob; Scheinman, Melvin M; Perez, Marco V; Kaski, Juan Pablo; Gow, Robert M; Drago, Fabrizio; Aziz, Peter F; Abrams, Dominic J; Gollob, Michael H; Skinner, Jonathan R; Shimizu, Wataru; Kaufman, Elizabeth S; Roden, Dan M; Zareba, Wojciech; Schwartz, Peter J; Schulze-Bahr, Eric; Etheridge, Susan P; Priori, Silvia G; Ackerman, Michael JBACKGROUND:Insight into type 5 long QT syndrome (LQT5) has been limited to case reports and small family series. Improved understanding of the clinical phenotype and genetic features associated with rare KCNE1 variants implicated in LQT5 was sought through an international multicenter collaboration. METHODS:Patients with either presumed autosomal dominant LQT5 (N = 229) or the recessive Type 2 Jervell and Lange-Nielsen syndrome (N = 19) were enrolled from 22 genetic arrhythmia clinics and 4 registries from 9 countries. KCNE1 variants were evaluated for ECG penetrance (defined as QTc >460 ms on presenting ECG) and genotype-phenotype segregation. Multivariable Cox regression was used to compare the associations between clinical and genetic variables with a composite primary outcome of definite arrhythmic events, including appropriate implantable cardioverter-defibrillator shocks, aborted cardiac arrest, and sudden cardiac death. RESULTS:A total of 32 distinct KCNE1 rare variants were identified in 89 probands and 140 genotype positive family members with presumed LQT5 and an additional 19 Type 2 Jervell and Lange-Nielsen syndrome patients. Among presumed LQT5 patients, the mean QTc on presenting ECG was significantly longer in probands (476.9±38.6 ms) compared with genotype positive family members (441.8±30.9 ms, P<0.001). ECG penetrance for heterozygous genotype positive family members was 20.7% (29/140). A definite arrhythmic event was experienced in 16.9% (15/89) of heterozygous probands in comparison with 1.4% (2/140) of family members (adjusted hazard ratio [HR] 11.6 [95% CI, 2.6-52.2]; P=0.001). Event incidence did not differ significantly for Type 2 Jervell and Lange-Nielsen syndrome patients relative to the overall heterozygous cohort (10.5% [2/19]; HR 1.7 [95% CI, 0.3-10.8], P=0.590). The cumulative prevalence of the 32 KCNE1 variants in the Genome Aggregation Database, which is a human database of exome and genome sequencing data from now over 140 000 individuals, was 238-fold greater than the anticipated prevalence of all LQT5 combined (0.238% vs 0.001%). CONCLUSIONS:The present study suggests that putative/confirmed loss-of-function KCNE1 variants predispose to QT prolongation, however, the low ECG penetrance observed suggests they do not manifest clinically in the majority of individuals, aligning with the mild phenotype observed for Type 2 Jervell and Lange-Nielsen syndrome patients.Item Open Access Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation.(The New England journal of medicine, 2019-11) Perez, Marco V; Mahaffey, Kenneth W; Hedlin, Haley; Rumsfeld, John S; Garcia, Ariadna; Ferris, Todd; Balasubramanian, Vidhya; Russo, Andrea M; Rajmane, Amol; Cheung, Lauren; Hung, Grace; Lee, Justin; Kowey, Peter; Talati, Nisha; Nag, Divya; Gummidipundi, Santosh E; Beatty, Alexis; Hills, Mellanie True; Desai, Sumbul; Granger, Christopher B; Desai, Manisha; Turakhia, Mintu P; Apple Heart Study InvestigatorsBACKGROUND:Optical sensors on wearable devices can detect irregular pulses. The ability of a smartwatch application (app) to identify atrial fibrillation during typical use is unknown. METHODS:Participants without atrial fibrillation (as reported by the participants themselves) used a smartphone (Apple iPhone) app to consent to monitoring. If a smartwatch-based irregular pulse notification algorithm identified possible atrial fibrillation, a telemedicine visit was initiated and an electrocardiography (ECG) patch was mailed to the participant, to be worn for up to 7 days. Surveys were administered 90 days after notification of the irregular pulse and at the end of the study. The main objectives were to estimate the proportion of notified participants with atrial fibrillation shown on an ECG patch and the positive predictive value of irregular pulse intervals with a targeted confidence interval width of 0.10. RESULTS:We recruited 419,297 participants over 8 months. Over a median of 117 days of monitoring, 2161 participants (0.52%) received notifications of irregular pulse. Among the 450 participants who returned ECG patches containing data that could be analyzed - which had been applied, on average, 13 days after notification - atrial fibrillation was present in 34% (97.5% confidence interval [CI], 29 to 39) overall and in 35% (97.5% CI, 27 to 43) of participants 65 years of age or older. Among participants who were notified of an irregular pulse, the positive predictive value was 0.84 (95% CI, 0.76 to 0.92) for observing atrial fibrillation on the ECG simultaneously with a subsequent irregular pulse notification and 0.71 (97.5% CI, 0.69 to 0.74) for observing atrial fibrillation on the ECG simultaneously with a subsequent irregular tachogram. Of 1376 notified participants who returned a 90-day survey, 57% contacted health care providers outside the study. There were no reports of serious app-related adverse events. CONCLUSIONS:The probability of receiving an irregular pulse notification was low. Among participants who received notification of an irregular pulse, 34% had atrial fibrillation on subsequent ECG patch readings and 84% of notifications were concordant with atrial fibrillation. This siteless (no on-site visits were required for the participants), pragmatic study design provides a foundation for large-scale pragmatic studies in which outcomes or adherence can be reliably assessed with user-owned devices. (Funded by Apple; Apple Heart Study ClinicalTrials.gov number, NCT03335800.).