PMID- 28334029 OWN - NLM STAT- MEDLINE DCOM- 20170822 LR - 20181113 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 12 IP - 3 DP - 2017 TI - Prognostic power of global 2D strain according to left ventricular ejection fraction in patients with ST elevation myocardial infarction. PG - e0174160 LID - 10.1371/journal.pone.0174160 [doi] LID - e0174160 AB - BACKGROUNDS: We aimed to evaluate the predictive power of longitudinal and circumferential fibers according to left ventricular ejection fraction (LVEF) in successfully reperfused acute ST elevation myocardial infarction (STEMI) patients. METHODS: Total 691 patients (age 59+/-13, 20% female) underwent clinical evaluation and conventional and strain echocardiography (Global longitudinal strain (GLS), global circumferential strain (GCS)). The clinical outcome was defined as the composite of death, hospitalization for heart failure, non-fatal myocardial infarction, and ventricular arrhythmia. RESULTS: During a follow-up of 39+/-19 months, there were 47 (6.8%) clinical events. In multivariate Cox models adjusted clinical risk factors, age (HR 1.08, p = 0.001) and GLS (HR 1.37, p = 0.001) were independent predictors. The addition of GLS resulted in significant incremental improvement in the predictive value on LVEF (chi2 = 31.8-->45.8, p<0.001), although GCS offers no additional benefit. In the subgroup analysis according to LVEF, adjusted with clinical factors, GLS was significant predictive for outcome for the patients with mildly depressed (LVEF 40-50%, HR 2.25, p<0.001) and significantly depressed (LVEF<40%, HR 1.28, p = 0.016) systolic function, although GCS and LVEF lost their power with LVEF<40%. For the patients with preserved LVEF (>50%), GLS, GCS and LVEF did not show significant predictive power. CONCLUSIONS: GLS is a most powerful predictor of outcome in successfully reperfused STEMI patients, especially with depressed LV dysfunction, although GCS and LVEF lost their predictive power for the patients with significantly depressed LV function. However, GLS did not predict outcome for the patients with preserved LVEF (>50%). FAU - Cha, Myung-Jin AU - Cha MJ AD - Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea. FAU - Kim, Hyun-Sook AU - Kim HS AD - Cardiovascular Division, Department of Internal Medicine, Hallym University Medical Center, Anyang, South Korea. FAU - Kim, Seong Hwan AU - Kim SH AD - Division of Cardiology, Department of Internal Medicine, Korea University Medical Center, Anam, South Korea. FAU - Park, Jae-Hyeong AU - Park JH AD - Cardiovascular Division, Department of Internal Medicine, Chungnam National University Hospital, Daejeon, South Korea. FAU - Cho, Goo-Yeong AU - Cho GY AUID- ORCID: 0000-0002-7067-5535 AD - Division of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, South Korea. LA - eng PT - Journal Article DEP - 20170323 PL - United States TA - PLoS One JT - PloS one JID - 101285081 SB - IM EIN - PLoS One. 2017 Oct 10;12 (10 ):e0186437. PMID: 29016660 MH - Age Factors MH - Aged MH - Echocardiography/methods MH - Female MH - Hospitalization/statistics & numerical data MH - Humans MH - Male MH - Middle Aged MH - Prognosis MH - Proportional Hazards Models MH - Risk Factors MH - ST Elevation Myocardial Infarction/*diagnosis/mortality/physiopathology MH - Stroke Volume/*physiology MH - Ventricular Function, Left/*physiology PMC - PMC5363861 COIS- Competing Interests: The authors have declared that no competing interests exist. EDAT- 2017/03/24 06:00 MHDA- 2017/08/23 06:00 PMCR- 2017/03/23 CRDT- 2017/03/24 06:00 PHST- 2016/11/28 00:00 [received] PHST- 2017/03/03 00:00 [accepted] PHST- 2017/03/24 06:00 [entrez] PHST- 2017/03/24 06:00 [pubmed] PHST- 2017/08/23 06:00 [medline] PHST- 2017/03/23 00:00 [pmc-release] AID - PONE-D-16-47018 [pii] AID - 10.1371/journal.pone.0174160 [doi] PST - epublish SO - PLoS One. 2017 Mar 23;12(3):e0174160. doi: 10.1371/journal.pone.0174160. eCollection 2017.