Clara Bonanad

Frailty and other geriatric conditions for risk stratification of older patients with acute coronary syndrome.

BACKGROUND Geriatric conditions may predict outcomes beyond age and standard risk factors. Our aim was to investigate a wide spectrum of geriatric conditions in survivors after an acute coronary syndrome. METHODS A total of 342 patients older than 65 years were included. At hospital discharge, 5 geriatric conditions were evaluated: frailty (Fried and Green scores), physical disability (Barthel index), instrumental disability (Lawton-Brody scale), cognitive impairment (Pfeiffer questionnaire), and comorbidity (Charlson and simple comorbidity indexes). The outcomes were postdischarge mortality and the composite of death/myocardial infarction during a 30-month median follow-up. RESULTS Seventy-four (22%) patients died and 105 (31%) suffered from the composite end point. Through univariable analysis, all individual geriatric indexes were associated with outcomes, mainly mortality. Of all of them, frailty using the Green score had the strongest discriminative accuracy (area under the receiver operating characteristic curve 0.76 for mortality). After full adjustment including clinical and geriatric data, the Green score was the only independent predictive geriatric condition (per point; mortality: hazard ratio 1.25, 95% CI 1.15-1.36, P = .0001; composite end point: hazard ratio 1.16, 95% CI 1.09-1.24, P = .0001). A Green score ≥ 5 points was the strongest mortality predictor. The addition of the Green score to the clinical model improved discrimination (area under the receiver operating characteristic curve 0.823 vs 0.846) and significantly reclassified mortality risk (net reclassification improvement 26.3, 95% CI 1.4-43.5; integrated discrimination improvement 4.0, 95% CI 0.8-9.0). The incremental predictive information was even greater over the GRACE score. CONCLUSIONS Frailty captures most of the prognostic information provided by geriatric conditions after acute coronary syndromes. The Green score performed better than the other geriatric indexes.

Cardiovascular magnetic resonance-derived intramyocardial hemorrhage after STEMI: Influence on long-term prognosis, adverse left ventricular remodeling and relationship with microvascular obstruction

BACKGROUND T2 weighted cardiovascular magnetic resonance (CMR) can detect intramyocardial hemorrhage (IMH) after ST-elevation myocardial infarction (STEMI). The long-term prognostic value of IMH beyond a comprehensive CMR assessment with late enhancement (LE) imaging including microvascular obstruction (MVO) is unclear. The value of CMR-derived IMH for predicting major adverse cardiac events (MACE) and adverse cardiac remodeling after STEMI and its relationship with MVO was analyzed. METHODS CMR including LE and T2 sequences was performed in 304 patients 1 week after STEMI. Adverse remodeling was defined as dilated left ventricular end-systolic volume indexes (dLVESV) at 6 months CMR. RESULTS During a median follow-up of 140 weeks, 47 MACE (10 cardiac deaths, 16 myocardial infarctions, 21 heart failure episodes) occurred. Predictors of MACE were ejection fraction (HR .95 95% CI [.93-.97], p=.001, per %) and IMH (HR 1.17 95% CI [1.03-1.33], p=.01, per segment). The extent of MVO and IMH significantly correlated (r=.951, p<.0001). dLVESV was present in 40% of patients. CMR predictors of dLVESV were: LVESV (OR 1.11 95% CI [1.07-1.15], p<.0001, per ml/m(2)), infarct size (OR 1.05 95% CI [1.01-1.09], p=.02, per %) and IMH (OR 1.54 95% CI [1.15-2.07], p=.004, per segment). Addition of T2 information did not improve the LE and cine CMR-model for predicting MACE (.744 95% CI [.659-.829] vs. .734 95% CI [.650-.818], p=.6) or dLVESV (.914 95% CI [.875-.952] vs. .913 95% CI [.875-.952], p=.9). CONCLUSIONS IMH after STEMI predicts MACE and adverse remodeling. Nevertheless, with a strong interrelation with MVO, the addition of T2 imaging does not improve the predictive value of LE-CMR.

Influence of Comorbid Conditions on One-Year Outcomes in Non–ST-Segment Elevation Acute Coronary Syndrome

OBJECTIVE To investigate comorbid conditions with prognostic influence in non-ST-segment elevation acute coronary syndrome (NSTEACS). PATIENTS AND METHODS The study group consisted of a derivation cohort of 1017 patients (admitted from October 1, 2002, through October 1, 2008) and an external validation cohort of 652 patients (admitted from February 1, 2006, through September 30, 2009). Comorbid conditions, including risk factors and components of the Charlson comorbidity index (ChCI) and coronary artery disease-specific index, were recorded. The main outcome was one-year mortality. RESULTS During follow-up, 103 patients died. After adjusting for variables associated with NSTEACS characteristics (base model), 5 comorbid conditions predicted mortality: severe or mild renal failure (hazard ratio [HR], 2.9 and HR, 1.6, respectively), dementia (HR, 3.1), peripheral artery disease (HR, 2.0), previous heart failure (HR, 2.6), and previous myocardial infarction (HR, 1.4). A simple comorbidity index (SCI) was developed using these variables, (per point: HR, 1.6; 95% confidence interval, 1.4-1.8; P = .0001). Adding the SCI, Charlson comorbidity index, or coronary artery disease-specific index to the base model resulted in a gain of 6.58%, 5.00%, and 4.04%, respectively, in discriminative ability (P = .001), without significant differences among the 3 indices. In patients with comorbid conditions, the highest risk period was in the first weeks after NSTEACS. The strength of the association between SCI and mortality rate was similar in the external validation cohort (HR, 1.3; 95% confidence interval, 1.1-1.6; P = .001). CONCLUSION Renal dysfunction, dementia, peripheral artery disease, previous heart failure, and previous myocardial infarction are the comorbid conditions that predict mortality in NSTEACS. A simple index using these variables proved to be as accurate as the more complex comorbidity indices for risk stratification. In-hospital management of patients with comorbid conditions merits further investigation.

Value of Early Cardiovascular Magnetic Resonance for the Prediction of Adverse Arrhythmic Cardiac Events After a First Noncomplicated ST-Segment-Elevation Myocardial Infarction

Background— Infarct size (IS) determined by cardiac magnetic resonance (CMR) has proven an additional value, on top of left ventricular ejection fraction (LVEF), in prediction of adverse arrhythmic cardiac events (AACEs) in chronic ischemic heart disease. Its value soon after an acute ST-segment–elevation myocardial infarction remains unknown. Our aim was to determine whether early CMR can improve AACE risk prediction after acute ST-segment–elevation myocardial infarction. Methods and Results— Patients admitted for a first noncomplicated ST-segment–elevation myocardial infarction were prospectively followed up. A total of 440 patients were included. All of them underwent CMR 1 week after admission. CMR-derived LVEF and IS (grams per meter squared) were quantified. AACEs included postdischarge sudden death, sustained ventricular tachycardia, and ventricular fibrillation either documented on ECG or recorded via an implantable cardioverter-defibrillator. Within a median follow-up of 2 years, 11 AACEs (2.5%) were detected: 5 sudden deaths (1.1%) and 6 spontaneous ventricular tachycardia/ventricular fibrillation. In the whole group, AACEs associated with more depressed LVEF (adjusted hazard ratio [95% confidence interval], 0.90 [0.83–0.97]; P<0.01) and larger IS (adjusted hazard ratio [95% confidence interval], 1.06 [1.01–1.12]; P=0.01). According to the corresponding area under the receiver operating characteristic curve, LVEF ⩽36% and IS ≥23.5 g/m2 best predicted AACEs. The vast majority of AACEs (10/11) occurred in patients with simultaneous depressed LVEF ⩽36% and IS ≥23.5 g/m2 (n=39). Conclusions— In the era of reperfusion therapies, occurrence of AACEs in patients with an in-hospital noncomplicated first ST-segment–elevation myocardial infarction is low. In this setting, assessment of an early CMR-derived IS could be useful for further optimization of AACE risk prediction.

High-sensitivity versus conventional troponin for management and prognosis assessment of patients with acute chest pain

Objectives High-sensitivity troponin (hs-cTn) is substituting conventional cTn for evaluation of chest pain. Our aim was to assess the impact on patient management and outcome. Methods A total of 1372 consecutive patients presenting at the emergency department with non-ST-elevation acute chest pain were divided into two periods according to the cTn assay used, conventional (n=699, March 2008 to July 2010) or hs-cTn (n=673, November 2010 to March 2013). Management policies were similar and according to guidelines. The primary endpoint was major adverse cardiac events (MACE) at 6 months (death, myocardial infarction, readmission by unstable angina or postdischarge revascularisation). Results There were minor differences in baseline characteristics. In the hs-cTn period, more patients elevated cTn (73% vs 37%, p=0.0001) leading to more coronary angiograms (77% vs 55%, p=0.0001) and revascularisations (45% vs 31%, p=0.0001); conversely, fewer patients were initially assigned to exercise testing (14% vs 36%, p=0.0001) and, therefore, discharged early after a negative result (7% vs 22%, p=0.0001). At 6 months, 135 patients suffered MACE, including 54 deaths. After adjusting for a Propensity Score, hs-cTn use was not significantly associated with MACE (HR=0.99; 95% CI 0.70 to 1.41; p=0.98) or mortality (HR=1.02; 95% CI 0.59 to 1.77; p=0.95), though the risk of longer hospitalisation stay increased at the index episode (OR=1.35, 95% CI 1.07 to 1.71, p=0.02). Conclusions hs-cTn simplified chest pain triage on avoiding a more complex evaluation with non-invasive tests in the chest pain unit, but prompted longer hospitalisations and more invasive procedures without impacting on the 6-month outcomes.

Effect of ischemic postconditioning on microvascular obstruction in reperfused myocardial infarction. Results of a randomized study in patients and of an experimental model in swine.

BACKGROUND Ischemic postconditioning (PCON) appears as a potentially beneficial tool in ST-segment elevation myocardial infarction (STEMI). We evaluated the effect of PCON on microvascular obstruction (MVO) in STEMI patients and in an experimental swine model. METHODS A prospective randomized study in patients and an experimental study in swine were carried out in two university hospitals in Spain. 101 consecutive STEMI patients were randomized to undergo primary angioplasty followed by PCON or primary angioplasty alone (non-PCON). Using late gadolinium enhancement cardiovascular magnetic resonance, infarct size and MVO were quantified (% of left ventricular mass). In swine, using an angioplasty balloon-induced anterior STEMI model, MVO was defined as the % of area at risk without thioflavin-S staining. RESULTS In patients, PCON (n=49) in comparison with non-PCON (n=52) did not significantly reduce MVO (0 [0-1.02]% vs. 0 [0-2.1]% p=0.2) or IS (18 ± 13% vs. 21 ± 14%, p=0.2). MVO (>1 segment in the 17-segment model) occurred in 12/49 (25%) PCON and in 18/52 (35%) non-PCON patients, p=0.3. No significant differences were observed between PCON and non-PCON patients in left ventricular volumes, ejection fraction or the extent of hemorrhage. In the swine model, MVO occurred in 4/6 (67%) PCON and in 4/6 (67%) non-PCON pigs, p=0.9. The extent of MVO (10 ± 7% vs. 10 ± 8%, p=0.9) and infarct size (23 ± 14% vs. 24 ± 10%, p=0.8) was not reduced in PCON compared with non-PCON pigs. CONCLUSIONS Ischemic postconditioning does not significantly reduce microvascular obstruction in ST-segment elevation myocardial infarction. Clinical Trial Registration http://www.clinicaltrials.gov. Unique identifier: NCT01898546.

Long-term Prognostic Value of a Comprehensive Assessment of Cardiac Magnetic Resonance Indexes After an ST-segment Elevation Myocardial Infarction

INTRODUCTION AND OBJECTIVES A variety of cardiac magnetic resonance indexes predict mid-term prognosis in ST-segment elevation myocardial infarction patients. The extent of transmural necrosis permits simple and accurate prediction of systolic recovery. However, its long-term prognostic value beyond a comprehensive clinical and cardiac magnetic resonance evaluation is unknown. We hypothesized that a simple semiquantitative assessment of the extent of transmural necrosis is the best resonance index to predict long-term outcome soon after a first ST-segment elevation myocardial infarction. METHODS One week after a first ST-segment elevation myocardial infarction we carried out a comprehensive quantification of several resonance parameters in 206 consecutive patients. A semiquantitative assessment (altered number of segments in the 17-segment model) of edema, baseline and post-dobutamine wall motion abnormalities, first pass perfusion, microvascular obstruction, and the extent of transmural necrosis was also performed. RESULTS During follow-up (median 51 months), 29 patients suffered a major adverse cardiac event (8 cardiac deaths, 11 nonfatal myocardial infarctions, and 10 readmissions for heart failure). Major cardiac events were associated with more severely altered quantitative and semiquantitative resonance indexes. After a comprehensive multivariate adjustment, the extent of transmural necrosis was the only resonance index independently related to the major cardiac event rate (hazard ratio=1.34 [1.19-1.51] per each additional segment displaying>50% transmural necrosis, P<.001). CONCLUSIONS A simple and non-time consuming semiquantitative analysis of the extent of transmural necrosis is the most powerful cardiac magnetic resonance index to predict long-term outcome soon after a first ST-segment elevation myocardial infarction.

Expert system for predicting unstable angina based on Bayesian networks

The use of computer-based clinical decision support (CDS) tools is growing significantly in recent years. These tools help reduce waiting lists, minimise patient risks and, at the same time, optimise the cost health resources. In this paper, we present a CDS application that predicts the probability of having unstable angina based on clinical data. Due to the characteristics of the variables (mostly binary) a Bayesian network model was chosen to support the system. Bayesian-network model was constructed using a population of 1164 patients, and subsequently was validated with a population of 103 patients. The validation results, with a negative predictive value (NPV) of 91%, demonstrate its applicability to help clinicians. The final model was implemented as a web application that is currently been validated by clinician specialists.

Effectiveness of the relative lymphocyte count to predict one-year mortality in patients with acute heart failure.

Several works have endorsed a significant role of the immune system and inflammation in the pathogenesis of heart failure. As indirect evidence, an association between a low relative lymphocyte count (RLC%) and worse outcomes found in this population has been suggested. Nevertheless, the role of RLC% for risk stratification in a large and nonselected population of patients with acute heart failure (AHF) has not yet been determined. Thus, the aim of this study was to determine the association between low RLC% and 1-year mortality in patients with AHF and consequently to define whether it has any role for early risk stratification. A total of 1,192 consecutive patients admitted for AHF were analyzed. Total white blood cell and differential counts were measured on admission. RLC% (calculated as absolute lymphocyte count/total white blood cell count) was categorized in quintiles and its association with all-cause mortality at 1 year assessed using Cox regression. At 1 year, 286 deaths (24%) were identified. A negative trend was observed between 1-year mortality rates and quintiles of RLC%: 31.5%, 27.2%, 23.1%, 23%, and 15.5% in quintiles 1 to 5, respectively (p for trend <0.001). After thorough covariate adjustment, only patients in the lowest quintile (<9.7%) showed an increased risk for mortality (hazard ratio 1.76, 95% confidence interval 1.17 to 2.65, p = 0.006). When RLC% was modeled with restricted cubic splines, a stepped increase in risk was observed patients in quintile 1: those with RLC% values <7.5% and <5% showed 1.95- and 2.66-fold increased risk for death compared to those in the top quintile. In conclusion, in patients with AHF, RLC% is a simple, widely available, and inexpensive biomarker, with potential for identifying patients at increased risk for 1-year mortality.

Prediction of Reverse Remodeling at Cardiac MR Imaging Soon after First ST-Segment–Elevation Myocardial Infarction: Results of a Large Prospective Registry

PURPOSE To assess predictors of reverse remodeling by using cardiac magnetic resonance (MR) imaging soon after ST-segment-elevation myocardial infarction (STEMI). MATERIALS AND METHODS Written informed consent was obtained from all patients, and the study protocol was approved by the institutional committee on human research, ensuring that it conformed to the ethical guidelines of the 1975 Declaration of Helsinki. Five hundred seven patients (mean age, 58 years; age range, 24-89 years) with a first STEMI were prospectively studied. Infarct size and microvascular obstruction (MVO) were quantified at late gadolinium-enhanced imaging. Reverse remodeling was defined as a decrease in left ventricular (LV) end-systolic volume index (LVESVI) of more than 10% from 1 week to 6 months after STEMI. For statistical analysis, a simple (from a clinical perspective) multiple regression model preanalyzing infarct size and MVO were applied via univariate receiver operating characteristic techniques. RESULTS Patients with reverse remodeling (n = 211, 42%) had a lesser extent (percentage of LV mass) of 1-week infarct size (mean ± standard deviation: 18% ± 13 vs 23% ± 14) and MVO (median, 0% vs 0%; interquartile range, 0%-1% vs 0%-4%) than those without reverse remodeling (n = 296, 58%) (P < .001 in pairwise comparisons). The independent predictors of reverse remodeling were infarct size (odds ratio, 0.98; 95% confidence interval [CI]: 0.97, 0.99; P = .04) and MVO (odds ratio, 0.92; 95% CI: 0.86, 0.99; P = .03). Once infarct size and MVO were dichotomized by using univariate receiver operating characteristic techniques, the only independent predictor of reverse remodeling was the presence of simultaneous nonextensive infarct-size MVO (infarct size < 30% of LV mass and MVO < 2.5% of LV mass) (odds ratio, 3.2; 95% CI: 1.8, 5.7; P < .001). CONCLUSION Assessment of infarct size and MVO with cardiac MR imaging soon after STEMI enables one to make a decision in the prediction of reverse remodeling.