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Ommen, Steve

Mayo Clinic

Mayo Clinic in Arizona

Citations 3

Cardiac magnetic resonance imaging parameters predict new-onset symptoms of heart failure in hypertrophic cardiomyopathy
Silva, Danuzia Santana da, Vizentin, Vanessa Karlinski , Maanja, Maren , Lahori, Simmy A, Ommen, Steve, Geske, Jeffrey B, Giudicessi, John R, Araoz, Philip A. , Ackerman, Michael J, Arruda‐Olson, Adelaide M. , Bos, J. Martijn , da Silva, Danuzia S, Félix, Iuri Ferreira , Bos, Johan M , Lahori, Simmy , Pasupathy, Kalyan S. , Ommen, Steve R. , Geske, Jeffrey B. , Giudicessi, John R. , Ackerman, Michael J.

ESC Heart Failure | June 6, 2026 | Volume: 13 | Issue: 3 | Pages: No page available

10.1093/eschf/xvag160 Get It

Abstract Background Hypertrophic cardiomyopathy (HCM) is a heritable cardiac disorder characterized by increased left ventricular (LV) wall thickness, often leading to heart failure (HF). The role of cardiovascular magnetic resonance (CMR) imaging in predicting new onset of HF symptoms in patients with HCM remains unknown. This study aimed to identify CMR predictors of new-onset HF symptoms in individuals with HCM. Methods This study was a single-centre retrospective cohort study of HCM patients treated at a tertiary referral centre in the USA who underwent CMR examination between 1998 and 2018, had no HF symptoms at baseline CMR, and at least 1 year of follow-up. Clinical data were collected by review of electronic medical records, and CMR images were analyzed by a blinded expert cardiac radiologis. The primary outcome was new onset of HF symptoms, defined as New York Heart Association (NYHA) class ≥ II at follow-up. Kaplan–Meier analyses and Cox proportional hazard analyses were performed. Results Of 1462 patients diagnosed with HCM who had at least 1 CMR, 276 HCM patients without HF symptoms (average age 52.7 years, 33.3% female),median maximum left ventricular (LV) wall thickness was 19 mm ([IQR] 17–22) with a and median LV ejection fraction of 71% (IQR 66–77). Late gadolinium enhancement was detected in 56.2%) patients (60.7% had mild; 30.7% moderate; 8.6% severe). During a median follow-up period of 6.3 years, 93 patients developed HF symptoms (NYHA class II in 56 (60.2%); class III in 31 (33.3%); and class IV in 6 (6.5%). Multivariable analysis adjusted for age showed that LA enlargement (HR 1.626; 95% CI 1.01–2.62; P = .045) and LV mass index (HR 1.014; 95% CI 1.007–1.022; P≤ .001) and sex (HR 1.7; 95% CI 1.074–2.691; P = .023) were independent predictors of new onset of HF symptoms in patients with HCM. Conclusions Nearly half of the patients with HCM developed HF symptoms within 6.3 years. Left atrial enlargement, LV mass index, and sex were independent predictors of new onset of HF symptoms in HCM patients. These findings emphasize the value of CMR in HF risk stratification.
Validation of the hypertrophic cardiomyopathy risk-sudden cardiac death calculator in Asians
Kim, Hyung‐Kwan , Lee, Sang‐Chol , Park, Jun‐Bean , Kim, Yong‐Jin , Ommen, Steve R. , Kim, Hyung-Kwan , Ommen, Steve, Choi, You‐Jung , Moon, Inki , Park, Jiesuck , Sohn, Dae‐Won

Heart | August 5, 2019 | Volume: 105 | Issue: 24 | Pages: 1892-1897

10.1136/heartjnl-2019-315160 Get It

Objective The hypertrophic cardiomyopathy (HCM) risk-sudden cardiac death (SCD) calculator endorsed by the 2014 European Society of Cardiology has not been independently validated in the Asians. We aimed to investigate whether the HCM Risk-SCD calculator effectively predicts SCD in Korean HCM population. Methods An observational, longitudinal cohort study was performed in 730 patients with HCM from 2007 to 2017. The primary endpoint was a composite of SCD and appropriate implantable cardioverter-defibrillator (ICD) therapy. Results During a follow-up period of 4288 person-years, 16 (2.2%) patients reached the primary endpoint. This validation study revealed a calibration slope of 0.892 and C-statistics of 0.718. The primary endpoint occurred in 1.1% (7/615), 4.6% (3/65) and 12.0% (6/50) of low-risk, intermediate-risk and high-risk groups, respectively. Although most patients (85.2%) without the primary endpoint were classified into the low-risk group, 7 of 11 SCD (63.6%) occurred in the low-risk group. In univariable and multivariable analysis, sex (woman) was significantly associated with the primary endpoint and emerged as independent predictor. The addition of sex to the HCM Risk-SCD calculator significantly improved the predictive value of the primary endpoint (net reclassification improvement 0.557, p=0.015). Conclusions In the Korean HCM population, the HCM Risk-SCD calculator had a high negative predictive value and accuracy for predicting SCD or appropriate ICD therapy, but misclassified a few patients experiencing the primary endpoint as low-risk or intermediate-risk groups.
To Screen or Not to Screen, That Is the Question
Ommen, Steve R. , Ommen, Steve, Mital, Seema

Circulation | July 15, 2019 | Volume: 140 | Issue: 3 | Pages: 193-195

10.1161/circulationaha.119.041021 Get It