MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.jacc.2019.08.1057

Медицинская библиотека · Journal of the American College of Cardiology · 2019

Distinct Subgroups in Hypertrophic Cardiomyopathy in the NHLBI HCM Registry.

Neubauer Stefan, Kolm Paul, Ho Carolyn Y, Kwong Raymond Y, Desai Milind Y, Dolman Sarahfaye F, Appelbaum Evan, Desvigne-Nickens Patrice, DiMarco John P, Friedrich Matthias G, Geller Nancy, Harper Andrew R, Jarolim Petr, Jerosch-Herold Michael, Kim Dong-Yun, Maron Martin S, Schulz-Menger Jeanette, Piechnik Stefan K, Thomson Kate, Zhang Cheng, Watkins Hugh, Weintraub William S, Kramer Christopher M, HCMR Investigators

СтатьяМногоцентровое исследованиеНаблюдательное исследованиеПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

The HCMR (Hypertrophic Cardiomyopathy Registry) is a National Heart, Lung, and Blood Institute-funded, prospective registry of 2,755 patients with hypertrophic cardiomyopathy (HCM) recruited from 44 sites in 6 countries.

OBJECTIVES

The authors sought to improve risk prediction in HCM by incorporating cardiac magnetic resonance (CMR), genetic, and biomarker data.

METHODS

Demographic and echocardiographic data were collected. Patients underwent CMR including cine imaging, late gadolinium enhancement imaging (LGE) (replacement fibrosis), and T1 mapping for measurement of extracellular volume as a measure of interstitial fibrosis. Blood was drawn for the biomarkers N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (cTnT), and genetic analysis.

RESULTS

A total of 2,755 patients were studied. Mean age was 49 ± 11 years, 71% were male, and 17% non-white. Mean ESC (European Society of Cardiology) risk score was 2.48 ± 0.56. Eighteen percent had a resting left ventricular outflow tract (LVOT) gradient ≥30 mm Hg. Thirty-six percent had a sarcomere mutation identified, and 50% had any LGE. Sarcomere mutation-positive patients were more likely to have reverse septal curvature morphology, LGE, and no significant resting LVOT obstruction. Those that were sarcomere mutation negative were more likely to have isolated basal septal hypertrophy, less LGE, and more LVOT obstruction. Interstitial fibrosis was present in segments both with and without LGE. Serum NT-proBNP and cTnT levels correlated with increasing LGE and extracellular volume in a graded fashion.

CONCLUSIONS

The HCMR population has characteristics of low-risk HCM. Ninety-three percent had no or only mild functional limitation. Baseline data separated patients broadly into 2 categories. One group was sarcomere mutation positive and more likely had reverse septal curvature morphology, more fibrosis, but less resting obstruction, whereas the other was sarcomere mutation negative and more likely had isolated basal septal hypertrophy with obstruction, but less fibrosis. Further follow-up will allow better understanding of these subgroups and development of an improved risk prediction model incorporating all these markers.

Для цитирования: Neubauer Stefan, Kolm Paul, Ho Carolyn Y, Kwong Raymond Y, Desai Milind Y, Dolman Sarahfaye F, Appelbaum Evan, Desvigne-Nickens Patrice, DiMarco John P, Friedrich Matthias G, Geller Nancy, Harper Andrew R, Jarolim Petr, Jerosch-Herold Michael, Kim Dong-Yun, Maron Martin S, Schulz-Menger Jeanette, Piechnik Stefan K, Thomson Kate, Zhang Cheng, Watkins Hugh, Weintraub William S, Kramer Christopher M, HCMR Investigators. Distinct Subgroups in Hypertrophic Cardiomyopathy in the NHLBI HCM Registry.. Journal of the American College of Cardiology. 2019. DOI: 10.1016/j.jacc.2019.08.1057.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.