A genetic risk score predicts recurrent events after myocardial infarction in young patients with a low level of traditional risk factors

Introduction

Coronary Heart Disease (CAD) is a multifactorial disease, including environmental and genetic risk factors. Current smoking, dyslipidemia and diabetes have a significant impact in long- term mortality and morbidity. However, several genetic variants associated with CAD but not with traditional risk factors (TRFs) has been reported to improve prediction of events and extended mortality, in younger CAD people.

Aim

To evaluate the clinical utility of a GRS composed by variants from GWAS associated to CAD but not with TRF to predict life-long residual risk in patients under 55 years old and a low level of TRFs.

Methods

We conducted a prospective study with 573 consecutive patients aged <55 years presenting with AMI and a low level of TRFs (without diabetes and with LDL cholesterol >150 mg/ml). We analysed several biochemical markers and performed a GRS with variants not associated with TRFs (TCF21 rs12190287, CDKN2B-AS1 rs1333049, CDKN2B rs4977574, PHACTR1 rs1332844, MIA3 rs17465637, ADAMTS7 rs3825807, ZC3HC1 rs11556924, SMAD3 rs17228212 and GJA4 rs618675). We studied the GRS association with a primary composite endpoint of all-cause vascular morbidity and mortality including recurrent acute coronary syndrome (myocardial infarct and unstable angina), coronary revascularization (coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI), re-hospitalization for heart failure, ischemic stroke and cardiovascular dead.

Results

A total of 573 patients were studied and followed up for a mean of 4.7±4.0 years. There were 169 recurrent cardiovascular events. The GRS was sub-divided into terciles, verifying that patients in the third tercile (high risk) had a higher number of risk alleles. Compared with the low-risk GRS tercile, the multivariate-adjusted HR for recurrences was 1.520 (95% CI 1.011–2.286); p=0.044 for the intermediate-risk group and was 2.051 (95% CI 1.382–3.044); p<0.0001 for the high-risk group. Inclusion of the GRS in the model with TRFs alone (low risk) improved the C-statistic analysis (C-statistic = 0.030; p=0.004), cNRI (continuous net reclassification improvement) (30.8%), and the IDI (integrated discrimination improvement index) (0.022).

Conclusions

A multilocus GRS may identify young coronary disease patients with a low level of TRFs but at significant risk of long-term events recurrence. The genetic information may improve prediction discrimination, and reclassification over the conventional risk factors alone, providing better cost-effective therapeutic strategies.

Funding Acknowledgement

Type of funding sources: None. Figure 1

Comparison between a genetic risk score and the European SCORE in cardiovascular events prediction in a primary prevention population

Background

The risk for Coronary Artery Disease (CAD) can be estimated using different scores, such as the European SCORE (Systematic Coronary Risk Evaluation) scale or genetic risk score (GRS). The addition of GRS to the European SCORE may increase the precision of predicting MACE (Major Adverse Cardiovascular Events).

Purpose

This study aims to compare the European SCORE and the multiplicative genetic risk score (mGRS) in predicting MACE.

Methods and results

The study included 1110 asymptomatic individuals without known CAD from GENEMACOR prospective registry. We defined the primary endpoint of all-cause cardiovascular events.

The study population had mean age of 51.6 years, 74.1% male and had risk factors of diabetes (11.6%), dyslipidemia (67.5%), hypertension (48.1%) and smoking (22.9%). Using C-index methodology, mGRS score was superior to SCORE in predicting MACE (mGRS = 0.832 Vs SCORE = 0.615; p=0.014).

Conclusions

The mGRS score was superior to SCORE in predicting MACE in an asymptomatic and free of CAD population. Genetic information may improve cardiovascular risk stratification in primary prevention.

Funding Acknowledgement

Type of funding sources: None.

Is the TCF21 gene protection or risk for coronary artery disease?

Introduction

TCF21 is expressed in cells that migrate into the developing plaque facilitating the repair of the vessel wall. However, the rs12190287 risk allele (C) of TCF21 can lead to reduced TCF21 expression being a risk factor for CAD.

Purpose

Investigate whether the variant rs12190287 G>C of TCF21 gene represents a risk factor for CAD in a Southern European population.

Methods

Case-control with 3139 individuals, 1723 CAD patients and 1416 controls, adjusted for age and gender. Genotyping of TCF21 rs12190287 G>C was performed by TaqMan Real-Time PCR. CAD association of each genetic model was evaluated.

Multivariate logistic regression analysis adjusted for confound variables: smoking status, dyslipidemia, diabetes, physical inactivity, and hypertension, was made.

Results

TCF21 rs12190287 G>C has shown significant genotypic differences between cases and controls: GG 9.5% vs 11.9%; GC 43.2% vs 46.5% and CC 47.3% vs 41.6%. CAD risk was significant in all models: dominant (OR 1.28; 95% CI: 1.02–1.61; p=0.033); recessive (OR 1.26; 95% CI: 1.09–1.45; p=0.001); additive (OR 1.20; 95% CI: 1.08–1.34; p=0.001). After multivariate analysis, TCF21 variant was independently associated with CAD.

Conclusion

TCF21 variant rs12190287 G>C may be a risk factor for CAD. It is plausible that TCF21 loci exert its protective effect by promoting infiltration of fibromyocytes in the coronary wall lesion and fibrous layer and loss of TCF21 expression can result in fewer fibromyocytes to fibrous cap increasing vulnerability of the plaque.

Funding Acknowledgement

Type of funding sources: None. Variables associated with CAD risk

How do presbylarynx and presbycusis affect the Voice Handicap Index and the emotional status of the elderly? A prospective case-control study

OBJECTIVE

To assess the influence of presbylarynx and presbycusis on Voice Handicap Index and emotional status.

METHODS

A case-control, prospective, observational, cross-sectional study was conducted of patients aged 65 years or older referred to an otorhinolaryngology department from January to September 2020. Presbycusis was assessed by pure tone and vocal audiometry. Each subject underwent fibre-optic videolaryngoscopy with stroboscopy, and presbylarynx was considered when two or more of the following endoscopic findings were identified: vocal fold bowing, prominence of vocal processes in abduction, and a spindle-shaped glottal gap. Each subject completed two questionnaires: Voice Handicap Index and Geriatric Depression Scale (short-form).

RESULTS

The studied population included 174 White European subjects, with a mean age of 73.99 years, of whom 22.8 per cent presented both presbylarynx and presbycusis. Multivariate linear regression revealed that only presence and severity of presbylarynx had an influence on Voice Handicap Index-30 scores. However, both spindle-shaped glottal gap and presbycusis influenced Geriatric Depression Scale scores.

CONCLUSION

Presbylarynx has a strong association with the impact of voice on quality of life. Presbylarynx and presbycusis seem to have a cumulative effect on emotional status.

Sustained ventricular tachycardia as a predictor of major adverse cardiac events in acute coronary syndrome patients

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

Sustained ventricular tachycardia (VT) is a frequent rhythm disturbance during an ischemic event like acute coronary syndrome (ACS). VT was frequently associated with worse prognosis, then is expected, that its presence is related to a higher incidence of major adverse cardiac events (MACE).

Objective

Evaluate if sustained VT was a predictor of MACE in ACS hospitalized patients.

Methods

Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Patients were divided into two groups: A – patients without VT, and B – patients that presented VT on the hospitalization. VT was defined as a register or more of the VT with at least 30 seconds. Were excluded patients without a previous cardiovascular history or clinical data. MACE was defined as re-infarction, congestive heart failure, cardiogenic shock, a mechanical complication of myocardial infarction, completed atrioventricular block, sustained ventricular tachycardia, cardiac arrest, stroke and hospitalization death. Univariate logistic regression was performed to assess if VT in ACS patients was a predictor of MACE.

Results

A total of 29851 patients was analyze and 25725 had information regarding VT. From the group of patients that presented VT, 177 (1.1%) had re-infarction, 2415 (14.1%) had congestive heart failure, 816 (5.0%) had atrial fibrillation, 108 (0.7%) had a mechanical complication of myocardial infarction, 442 (2.7%) had completed atrioventricular block, 458 (2.8%) had cardiac arrest, 101 (0.6%) had stroke and 535 (3.3%) died. VT did not predict re-infarction (p = 0.071), mechanical complication of myocardial infarction (p = 0.979) and stroke (p = 0.500) in ACS hospitalized patients. Logistic regression revealed that VT in ACS patients was a predictor of congestive heart failure (odds ratio (OR) 2.304, p < 0.001, confidence interval (CI) 1.742-3.047), atrial fibrillation (OR 2.078, p < 0.001, CI 1.453-2.973), completed atrioventricular block (OR 1.831, p = 0.012, CI 1.145-2.928), cardiac arrest (OR 15.434, p < 0.001, CI 11.429-20.843) and hospitalization death (OR 6.472, p < 0.001, CI 4.484-9.342).

Conclusions

VT in ACS patients predict MACE, namely congestive heart failure, atrial fibrillation, completed atrioventricular block, cardiac rest and hospitalization death.

Was the atrioventricular block similar in anterior and inferior ST-elevation myocardial infarction?

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

The presence of atrioventricular block (AVB) in ST-elevation myocardial infarction (STEMI) is more frequently registered when is identified in the inferior leads. However, AVB maybe occurs in anterior STEMI, yet the AVB and STEMI localization maybe had different implications.

Objective

Evaluate the impact and prognosis of AVB according to the STEMI localization.

Methods

Multicenter retrospective study, based on the Portuguese Registry of Acute Coronary Syndrome between 1/10/2010-3/05/2020. Patients were divided into two groups: A – patients with anterior STEMI, and B – patients with inferior STEMI. Were excluded patients without a previous cardiovascular history or clinical data regarding AVB occurrence. Logistic regression was performed to assess AVB as a prognostic marker in STEMI patients.

Results

From 32157 patients, was identified 462 with AVB, 72 in group A (15.6%) and 390 in group B (84.4%). Both groups were similar regarding gender (p = 0.710), age (p = 0.068), body mass index (p = 0.535), admitly directly to cat lab (p = 0.635), initial symptons until first medical contact (p = 0.561), smoker status (p = 0.483), diabetes mellitus (p = 0.331), coronary artery disease (p = 0.053), previous stroke (p = 0.332),  peripheral artery disease (p = 0.348), chronic kidney disease (p = 0.425), systolic blood pressure (p = 0.057), multivessel diasease (p = 0.235), new-onset of atrial fibrillation (p = 0.582), cardiac arrest (p = 0.062) and stroke complication (p = 0.685). Group B had higher left ventricular ejection fraction (LVEF) >50% (16.9 vs 60.7%, p < 0.001). On the other hand, group A had more arterial hypertension (79.7 vs 66.2%, p = 0.027), dislipidaemia (58.2 vs 54.4%, p = 0.038), heart rate at admission (81 ± 20 vs 59 ± 23, p < 0.001), Killip-Kimball class > I (45.7 vs 29.6%, p = 0.008), sinus rhythm at admission (84.5 vs 72.6%, p = 0.035), heart failure complication (65.3 vs 37.1%, p < 0.001), cardiogenic shock complication (42.3 vs 24.7%, p < 0.001), ACS mechanical complication (8.3 vs 3.1%, p = 0.047), sustained ventricular tachycardia during ACS hospitalization (19.4 vs 8.5%, p = 0.005) and hospitalization death (52.9 vs 44.7%, p < 0.001). Logistic regression revealed that AVB in inferior STEMI was a predictor of new-onset of atrial fibrillation (odds ratio (OR) 3.817, p = 0.038, confidence interval (CI) 1.123-12.975), with a R2 Nagelkerke 24.4. Also, revealed that AVB in anterior STEMI was a predictor of death (OR 0.111, p < 0.001, CI 0.034-0.366), with a R2 Nagelkerke 55.2.

Conclusions

AVB in inferior STEMI was a predictor of new-onset of atrial fibrillation and AVB in anterior STEMI was a predictor of death.

Sustained ventricular tachycardia in acute coronary syndromes the Portuguese experience

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

Acute coronary syndromes (ACS) are frequent and are associated with high levels of comorbidities and complications. Ventricular tachycardia (VT) is one of the most danger and stressful situations in ACS.

Objective

Evaluate predictors of ventricular tachycardia in ACS.

Methods

Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Patients were divided in two groups: A – patients without VT, and B – patients that presented VT on the hospitalization. VT was defined as a register or more of the VT with at least 30 seconds. Logistic regression was performed to assess predictors of VT in ACS patients.

Results

25361 in group A (98.6%) and 364 in group B (1.4%). Both groups were similar regarding gender, cardiovascular risk factors, except for dyslipidemia (61.7 vs 51.9%, p < 0.001) and ST-segment elevation myocardial infarction (STEMI) location. Group B was elderly (67 ± 14 vs 70 ± 14, p < 0.001), was admitted directly to the cat lab (10.6 vs 20.4%, p < 0.001), had less time since the onset of symptoms until the admission (383 ± 157 vs 349 ± 121, p = 0.003), but presented higher previous history of heart failure (5.9 vs 10.6%, p < 0.001), peripheral vascular disease (5.5 vs 8.4%, p = 0.015), chronic obstructive pulmonary disease (COPD) (4.4 vs 7.9%, p = 0.001) and dementia (1.7 vs 3.2%, p = 0.038). At admission presented higher levels of STEMI (42 vs 67%, p < 0.001), dyspnea (29 vs 18.1%, p < 0.001), syncope (1.3 vs 6.6%, p < 0.001), cardiac arrest (0.4 vs 4.4%, p < 0.001), Killip-Kimball classification > I (14.8 vs 40.5%, p < 0.001) and atrial fibrillation at admission (AF) (7.1 vs 15.3%, p < 0.001). Ivabradine (3.7 vs 7.6%, p < 0.001), aldosterone receptor antagonists (10.2 vs 24%, p < 0.001), diuretic (28 vs 57.2%, p < 0.001), amiodarone (5.6 vs 53.5%, p < 0.001), digoxin (1.4 vs 4.7%, p < 0.001) were more prevalent used in the admission. Group B exhibited higher multivessel disease (MVD) (51.5 vs 61.5%, p < 0.001), culprit as common coronary trunk (CT) (1.7 vs 4.2%, p = 0.024), hybrid revascularization (0.8 vs 2%, p = 0.032) and left ventricular ejection fraction (LVEF)<50% (38.7 vs 71%, p < 0.001). On the other hand, the used of beta block (81.4 vs 62.3%, p < 0.001), angiotensin-converting-enzyme inhibitor (85.5 vs 74.4%, p < 0.001) and calcium channel blockers (10.1 vs 24%, p < 0.001) since had a protect effect. Regarding reinfarction (0.9 vs 2.5%, p = 0.007), de novo heart failure (15.1 vs 50.3%, p < 0.001), atrioventricular block (2.2 vs 17%, p < 0.001), stroke (1.4 vs 4.9%, p < 0.001) and death (3.4 vs 26.9%, p < 0.001), all were higher in Group B. Logistic regression revealed COPD (odds ratio (OR) 1.9, p = 0.010, confidence interval (CI) 1.17-3.10), STEMI (OR 2.73, p < 0.001, CI 2.00-3.73), AF (OR 2.30, p < 0.001, CI 1.52-3.49), MVD (OR 1.44, p = 0.012, CI 1.08-1.92), CT (OR 2.87, p = 0.003, CI 1.45-5.69) and LVEF < 50%  (OR 3.44, p < 0.001, CI 2.52-4.71) as predictors of VT in ACS.

Conclusions

COPD, STEMI, AF, MVD, CT and LVEF < 50% were predictors of VT in ACS.

Atrial Fibrillation in Acute Coronary Syndrome - early onset impact on MACE

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

on behalf of the Investigators of " Portuguese Registry of ACS "

Introduction

Atrial Fibrillation (AF) complicates approximately 10% of acute coronary syndromes (ACS) and it is, therefore, important to access its impact on ACS patients’ (pts) prognosis.

Objective

To evaluate early onset (≤48h) de novo atrial fibrillation (AF) as predictor of major adverse cardiovascular events (MACE) and in-hospital complications.

Methods

Based on a multicenter retrospective study, data collected from admissions between 1/10/2010 and 8/01/2019. Pts were divided in two groups: A – early onset de novo AF (EOAF), and B – late onset de novo AF (LOAF). Patients without data on previous cardiovascular history or uncompleted clinical data were excluded. Univariate logistic regression was performed to assess if LOAF in ACS was a predictor of MACE or complications.

Results

29851 pts had ACS. EOAF occurred in 584 pts (2.0%) and LOAF in 360 pts (1.2%). EOAF were younger (73 ± 13 vs 77 ± 10, p < 0.001) and smokers (21.3% vs 12.1%, p < 0.001). LOAF had higher rates of diabetes mellitus (40.1% vs 30.2%, p < 0.001), angina (30.8% vs 21.4%, p < 0.001), previous ACS (22.5% vs 15.4%, p = 0.006), previous revascularization (percutaneous coronary intervention 14% vs 9.5%, p = 0.032; coronary artery bypass surgery 8.4% vs 3.9%, p = 0.004). ST-segment elevation myocardial infarction (MI) rates were higher in EOAF (56.8% vs 46.9%, p = 0.003) and were admitted directly to the cath lab more often (21.7% vs 13.4%, p = 0.001). Non-ST elevation MI rates were higher in LOAF (44.2% vs 37.7%, p = 0.048). LOAF times from first symptoms to admission were longer (420min vs 183%, p < 0.001), mean brain natriuretic peptide levels were higher (579 vs 447, p = 0.009) and diuretics usage was more frequent (72.8% vs 54.3%, p < 0.001). EOAF had higher rates of heart failure (32.1% vs 17.2%, p < 0.001), atrioventricular block (10.5% vs 7.8%, p = 0.006) and sustained ventricular tachycardia (8.1% vs 3.1%, p = 0.001). LOAF had higher in-hospital mortality (14.2% vs 9.6%, p = 0.031) and longer hospital stay (12 days vs 7 days, p < 0.001). Logistic regression confirmed that EOAF was predictive of in-hospital heart failure (p < 0.001, OR 2.15) and atrioventricular block (p = 0.008, OR 7.46). Regarding 1 year-follow-up, EOAF had poorer prognosis comparing to LOAF (59.3% vs 73.0%, p = 0.018, OR 1.62, CI 1.09-2.42)

Conclusion

EOAF is predictive of MACE, namely heart failure and atrioventricular block, and is associated to poorer prognosis comparing to LOAF.

Endocardial left ventricular pacing Where are we a systematic review

Funding Acknowledgements

Type of funding sources: None.

Background

Endocardial left ventricular pacing is a technique used in cardiac resynchronization therapy (CRT), when a coronary sinus implant is not possible, conventional CRT was an unsuccess and in CRT nonresponders. We performed a systemic review to evaluate its risks and benefits.

Objective

Review the evidence regarding the efficacy and safety of endocardial left ventricular pacing.

Methods

A systemic research on MEDLINE and PUBMED with the term "endocardial left ventricular pacing", "biventricular pacing" or "endocardial left pacing". 1038 results were identified, however, just publish papers (excluding abstract) with more than 16 patients was admitted in these analyses. Comparisons pre and post CRT regard New York Heart Association (NYHA) functional classification, left ventricular ejection fraction (LVEF) and QRS width was performed. Mean differences (MD) and confidence interval (CI) was used as a measurement of treatment.

Results

Eleven studies were selected, including a total of 560 patients. The studies were performed with different techniques, trans-atrial septal technique, trans-ventricular septal technique and transapical technique. Mean age 66.93 years old, 90.54% male, median ejection fraction of 28.86%, NYHA class of 3.03, QRS width 167,50 mseg. Ischemic etiologic in 43.88%, atrial fibrillation in 45.35% and left bundle branch block in 55.20%. Was reported several complications after the procedure, 8 pocket infection (7 studies), 17 transient ischemic attacks (10 papers), 17 ischemic stroke (all), 35 tromboembolic events (all) and 115 deaths, nevertheless, follow up in the different studies was diverse and heterogeneous. Significant improvement was registered in NYHA class (MD 0.64, CI 0.56-0.72, p < 0.00001, I2 = 89%) (reported in 7 studies), LVEF (MD 6.20, CI 5.09-7.32, p = 0.002, I2 = 69%) %) (reported in 8 studies) and QRS width (MD 31.35, CI 26.11-36.60, p < 0.00001, I2 = 89%) %) (reported in 5 studies), (all p < 0.00001).

Conclusions

Left ventricular endocardial pacing is a feasible alternative to conventional CRT, when the last one is not possible. With clinical, electrocardiogram and echocardiogram improvement in several series. First data regarding this procedure were associated with higher stroke incidence, something contrary to the last study’s results. Nevertheless, at the moment just small series present this technique with heterogenous results and different approaches, being important further investigation.

Cardiac arrest in Acute Coronary Syndrome: predictors and prognosis

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

on behalf of the Investigators of " Portuguese Registry of ACS "

Introduction

Cardiac arrest (CA) is a potential complication of acute coronary syndromes (ACS) and it is, therefore, important to access its impact on prognosis and identify patients with higher risk of CA in the setting of ACS.

Objective

To evaluate predictors and prognosis of CA in the setting of ACS.

Methods

Based on a multicenter retrospective study, data collected between 1/10/2010 and 4/09/2019. Patients (pts) without data on previous cardiovascular history or uncompleted clinical data were excluded. Pts were divided in 2 groups (G): GA – pts without CA; GB - pts with CA during hospitalization. Logistic regression and survival analysis was performed.

Results

Between 25718 pts with ACS, CA occurred in 651 (2.5%). GB was younger (65 ± 15 vs 67 ± 14, p < 0.001), had higher rates of smoking (35.8% vs 26.4%, p < 0.001), and lower rates of hypertension (62.3% vs 70.9%, p < 0.001), diabetes (25.7% vs 31.7%, p < 0.001), dyslipidaemia (53.8% vs 61.7%, p < 0.001), previous ACS (17.2% vs 20.6%, p = 0.037) and coronary artery bypass grafting (CABG) (1.9% vs 5.1%, p < 0.001). Both groups were similar regarding previous heart failure (p = 0.450) and chronic kidney disease (p = 0.560). GB had shorter times from first symptoms to admission (158min vs 243min, p < 0.001). GA had higher rate of non-ST-elevation myocardial infarction (MI) (78.6% vs 41.4%, p < 0.001), whether GB had higher rates of ST-elevation myocardial infarction (STEMI) (46.7% vs 18.1%, p < 0.001), namely anterior (54.9% vs 46.9%, p < 0.001). GB had lower blood pressure (BP) (122 ± 33 vs 139 ± 28, p < 0.001), higher heart rate (HR) (83 ± 23 vs 77 ± 19, p < 0.001), presented more frequently in Killip-Kimball class (KKC) ≥2 (37.6% vs 14.6%, p < 0.001), in atrial fibrillation (AF) (13.9% vs 7.0%, p < 0.001) and with right bundle block (10.6% vs 5.3%, p < 0.001). GB had higher rates of common trunk culprit lesion (CL) (3.9% vs 1.6%, p < 0.001), anterior descending coronary CL (49% vs 37%, p < 0.001), 1 vessel lesion (53.4% vs 38.5%, p < 0.001), lower CABG rates (4.3% vs 6.3%, p = 0.042), more left ventricle dysfunction (57.7% vs 38.7%, p < 0.001) and needed more frequently mechanical ventilation (35.3% vs 1.1%, p < 0.001), non-invasive ventilation (6.8% vs 1.6%, p < 0.001) and provisory pacemaker (9.4% vs 1.3%, p < 0.001). Logistic regression confirmed that older age (p < 0.001, OR 1.89, CI 1.35-2.64), higher HR (p < 0.029, OR 1.33, CI 1.03-1.71), lower BP (P < 0.001, OR 2.67, CI 1.94-3.68), KKC ≥2 (p < 0.001, OR 2.35, CI 1.84-3.00), AF at admission (p < 0.001, OR 1.84, CI 1.34-2.51), STEMI (p < 0.001, OR 4.08, CI 3.66-6.77), lower left ventricle function (p = 0.009, OR 1.38, CI 1.08-1.75) were predictors of CA. Event-free survival was higher in GA than GB (92.8% vs 83.3%, OR 1.68, p = 0.008, CI 1.41-2.47).

Conclusion

As expected, CA in the setting of ACS is associated with poorer prognosis. Several characteristics of the pts may help to predict the development of CA during hospitalization, allowing earlier identification and prompt treatment.

Septal vs apical defibrillator electrode placement a systematic review

Funding Acknowledgements

Type of funding sources: None.

Background

The optimal right ventricular defibrillator lead placement is still a debatable matter. We attempt to performed a systemic review to evaluate whether septal and apical placement had significant differences in the follow-up with an indication for implantation of these devices.

Objective

Review the evidence regarding the efficacy and safety of right ventricular apical and septal defibrillator lead placement.

Methods

A systemic research on MEDLINE and PUBMED with the term "septal pacing", "apical pacing" "septal defibrillation" or "apical defibrillation". 309 results were identified, however, after a serious analysis, several articles were excluded. Comparisons between apical and septal placement were performed regarding R wave amplitude, pacing threshold at 0.5 ms, lead impedance, left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDD) and lead complication that produced lead re-placement. Mean differences (MD) and confidence interval (CI) was used as a measurement of treatment.

Results

Six studies were selected, including a total of 2180 patients. The studies were performed with different techniques, analyses and goals. The studies presented heterogeneous and diverse results, with a varied follow-up period, that resulted in the exclusion of one of the studies. Mean age 64.51 years old, 76.86% male, a median ejection fraction of 27.84%, NYHA class of 2.65, ischemic etiologic in 51.10% and a follow-up period of 26.49 months. Septal defibrillator lead placement was established in 772 patients, while the apical defibrillator lead placement was performed in 1399 patients. No differences regarding the lead performance on apical and septal placement were detected regarding the R-wave (MD -0.36, CI -0.75 - +0.03, p = 0.68, I2 = 0%) (reported in 3 studies) and lead impedance (MD -23.83, CI -51.36 - +3.69, p = 0.003, I2 = 82%) (reported in 3 studies). Pacing threshold seems to be favor a septal defibrillator lead implantation (MD -0.05, CI -0.09 - -0.02, p = 0.12, I2 = 53%) (reported in 3 studies). Concerning echocardiography parameters during the follow up period, LVEF (MD -0.83, CI -3.05 - +1.38, p = 0.10, I2 = 57%) (reported in 3 studies) and LVEDD (MD -0.51, CI -2.13 - +1.10, p = 0.20, I2 = 38%) (reported in 3 studies) were not significant influenced for the defibrillator lead placement. Lead complications that provoke a lead replacement was not significant between the lead placement (MD 1.25, CI 0.53 – 2.94, p = 0.71, I2 = 0%) (reported in 3 studies).

Conclusions

Just pacing threshold proved to improve the septal defibrillator lead placement. Neither the other lead parameters or the echocardiography results during the follow-up were influenced by the lead placement. For a definitive conclusion is important to further investigation.

Prognosis of new-onset of atrial fibrillation in acute coronary syndrome: Portuguese experience

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

Acute coronary syndrome (ACS) and atrial fibrillation (AF) are common diseases in developed countries and in some cases, the first episode of AF can occur during the ACS. A stressful event like an ACS can be a trigger for AF, being important to realize its impact and prognosis in the short and long term.

Objective

Evaluate the impact and prognosis of new-onset AF in ACS.

Methods

Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Patients were divided into two groups: A – patients without new-onset AF, and B – patients that presented new onset of AF. Were excluded patients without a previous cardiovascular history or clinical data during the admission and the follow-up period. Logistic regression was performed to assess if new-onset AF in ACS was a predictor of major adverse cardiac events and mortality. Kaplan-Meier test was performed to establish the survival rates and re-admission for one year of follow up.

Results

9687 patients suffered ACS and had follow-up at 1 year, 9264 in group A (95.6%) and 423 in group B (4.4%). Both groups were similar regarding dyslipidemia, diabetes mellitus, previous coronary artery disease, multivessel disease after the cardiac catheterization. Group A had more smokers (28.2 vs 17.8%, p < 0.001) and left ventricular ejection fraction (LVEF) >50% (69.2 vs 45.1%, p < 0.001). On the other hand, group B was elderly (67 ± 14 vs 75 ± 12, p < 0.001), female (26.9 vs 34.0%, p < 0.001), arterial hypertension (70.5 vs 77.5%, p = 0.005), was more admitted directly to the cat lab (12.5 vs 17.7%, p = 0.002), ST-segment elevation myocardial infarction (40.2 vs 49.9%, p < 0.001), Killip-Kimball classification > I (12.8 vs 34.8%, p < 0.001) and hybrid revascularization (0.7 vs 2.4%, p = 0.002). Logistic regression revealed that new-onset of AF in ACS patients was a predictor of congestive heart failure (odds ratio (OR) 1.75, p < 0.001, confidence interval (CI) 1.47-2.09), cardiogenic shock (OR 3.08, p < 0.001, CI 2.37-4.01), sustained ventricular tachycardia (OR 2.29, p < 0.001, CI 1.61-3.25) and intrahospital mortality (OR 1.99, p < 0.001, CI 1.51-2.63). Nevertheless, new-onset of AF was not associated with re-infarction (p = 0.361), mechanical complications (p = 0.319), atrioventricular block (p = 0.574), stroke (p = 0.131) and cardiac arrest (p = 0.060) during the hospitalization for ACS. Mortality rates at one year of follow-up showed significant differences, p < 0.001, between the two groups (Figure 1). Similar results were found concerning re-admission for all causes, p = 0.021 (Figure 2), on the other causes, re-admission for cardiovascular causes do not reveal to be significant, p = 0.515.

Conclusions

New-onset of AF in ACS was a predictor of congestive heart failure, cardiogenic shock, sustained ventricular tachycardia and intrahospital mortality. AF was associated with higher mortality rates and re-admission for all causes at one year follow up.

Atrioventricular block in acute coronary syndrome: Portuguese experience

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

The atrioventricular block (AVB) occurrence in acute coronary syndrome (ACS) is a potentially life-threatening complication, that demand a rapid and efficient response regarding reperfusion time and rhythm stabilization.

Objective

Evaluate the impact and prognosis of AVB in ACS patients, as well as predictors of AVB.

Methods

Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-3/05/2020. Patients were divided into two groups: A – patients without AVB, and B – patients that presented AVB. Were excluded patients without a previous cardiovascular history or clinical data regarding AVB occurrence. Logistic regression was performed to assess predictors of AVB in ACS patients.

Results

From 32157 patients, 23774 was included, 23148 in group A (97.4%) and 626 in group B (2.6%). Both groups were similar regarding initial symptons until first medical contact (p = 0.410), smoker status (p = 0.222), arterial hypertension (p = 0.776), diabetes mellitus (p = 0.508), peripheral artery disease (p = 0.479), chronic kidney disease (p = 0.467) and re-infarction during the hospitalization for ACS (p = 0.145). Group A had higher body mass index (27.4 ± 4.4 vs 26.9 ± 4.6, p = 0.005), dislipidaemia (59.6 vs 51.4%, p < 0.001), coronary artery disease (18.9 vs 13.0, p < 0.001), heart rate (78 ± 19 vs 65 ± 25, p < 0.001), systolic blood pressure (139 ± 29 vs 119 ± 32, p < 0.001) and left ventricular ejection fraction (LVEF) >50% (60.1 vs 51.7%, p < 0.001). On the other hand, group B was elderly (66 ± 13 vs 71 ± 13, p < 0.001), female (27.4 vs 32.4%, p < 0.001), previous stroke (6.9 vs 10.9%, p < 0.001), neoplasia (4.9 vs 6.8%, p = 0.031), ST-segment elevation myocardial infarction (46.2 vs 75.4%, p < 0.001), syncope as major symptom (1.3 vs 10.0%, p < 0.001), Killip-Kimball class > I (15.4 vs 31.6%, p < 0.001), multivessel diasease (52.1 vs 61.4%, p < 0.001), heart failure complication (15.5 vs 40.6%, p < 0.001), cardiogenic shock complication (3.8 vs 24.6%, p < 0.001), new-onset of atrial fibrillation (4.2 vs 14.1%, p < 0.001), ACS mechanical complication (0.6 vs 3.2%, p < 0.001), sustained ventricular tachycardia during ACS hospitalization (1.3 vs 10.0%, p < 0.001), cardiac arrest (2.7 vs 13.3%, p < 0.001), stroke complication (0.6 vs 1.9%, p < 0.001) and hospitalization death (3.5 vs 19.0%, p < 0.001). Logistic regression revealed that female gender (odds ratio (OR) 1.422, p = 0.015, confidence interval (CI) 1.072-1.885), age ≥75 years old (OR 1.560, p = 0.002, CI 1.174-2.073), heart rate <60 (OR 6.692, p < 0.001, CI 5.180-8.644) and Killip-Kimball class > I (OR 3.264, p < 0.001, CI 2.446-5.356) were predictors of AVB in ACS patients.

Conclusions

Female gender, age ≥75 years old, heart rate <60 and Killip-Kimball class > I were predictors of AVB in ACS patients.

In-hospital outcomes of sustained ventricular tachycardia in the setting of Acute Coronary Syndrome

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

on behalf of the Investigators of " Portuguese Registry of ACS "

Introduction

Sustained ventricular tachycardia (SVT) complicates up to 20% of acute coronary syndromes (ACS) and it is, therefore, important to access its impact on prognosis and identify patients with higher risk of SVT.

Objective

To evaluate predictors of early onset (<48h) and late onset (≥48h) SVT.

Methods

Based on a multicenter retrospective study, data collected from admissions between 1/10/2010 and 4/09/2019. Patients (pts) were divided in two groups (G): A – pts that presented early onset SVT (ESVT), and B – pts that presented late onset SVT (LSVT). Pts without data on previous cardiovascular history or uncompleted clinical data were excluded. Logistic regression was performed to assess predictors of SVT in ACS.

Results

Between 29851 pts with ACS, 364 (1.2%) presented SVT. ESVT – 251 pts (69%); LSVT – 91 pts (25%). LSVT G was older (74 ± 13 vs 68 ± 14, p = 0.003), was admitted directly to cat lab less frequently (10.1% vs 24.8%, p = 0.003), had longer times from first symptoms to admission (440min vs 261 min, p < 0.001) and had higher rates of previous stroke (14.4% vs 6.8%, p = 0.028). LSVT G had higher rates of non-ST-elevation myocardial infarction (MI) (35.2% vs 23.1%, p = 0.025) and lower rates of ST-elevation MI (53.8% vs 71.7%, p = 0.002), although both G were similar regarding MI location (anterior – p = 0.135, inferior – p = 0.097). LSVT G had higher systolic blood pression (130 ± 33 vs 122 ± 33, p = 0.050), presented more frequently in Killip-Kimball class ≥2 (52.5% vs 35.5%, p = 0.005) and with atrial fibrillation (21.2% vs 12.4%, p = 0.045), and had higher brain-natriuretic peptide (1075 vs 329, p < 0.001). LSVT G was treated more frequently with diuretics (80.0% vs 47.8%, p < 0.001), amiodarone (62.2% vs 48.8%, p = 0.029), digoxin (8.9% vs 2.4%, p = 0.013) and levosimendan (11.1% vs 2.8%, p = 0.004). ESVT G had higher rates of performed coronarography (88.4% vs 79.1%, p = 0.028) but lower rate of 3 vessels disease (58.5% vs 70.8%, p = 0.017). LSVT G had higher rates of severe (<30%) left ventricle dysfunction (32.9% vs 15.4%, p < 0.001) and need to non-invasive ventilation (23.1% vs 6.8%, p < 0.001). Regarding in-hospital complications, ESVT G had higher rates of heart failure (34.7% vs 19.1%, p = 0.006), atrioventricular block (15.7% vs 1.1%, p < 0.001), atrial fibrillation (20.4% vs 7.7%, p = 0.006) and major haemorrhage (5.2% vs 0.0%, p = 0.024). LSVT G had higher rates of in-hospital death (44.4% vs 20.9%, p < 0.001) and in-hospital stay (14 days vs 7 days, p < 0.001). The G were similar regarding re-infarction (p = 0.216), shock (p = 0.179), mechanical complications (p = 1.00), cardiac arrest (p = 0.097) and stroke (0.348) rates. Logistic regression confirmed ESVT was predictive in-hospital heart failure (p = 0.010, OR 2.67) and de novo AF (p = 0.001, OR 5.56), whether LSVT was predictive of in-hospital death (p = 0.002, OR 2.70).

Conclusion

LSVT was associated with higher rates of in-hospital complications, but ESVT was associated with higher in-hospital mortality.

Cardiovascular risk factors as predictors of new onset atrial fibrillation during hospitalization for Acute Coronary Syndromes

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

Cardiovascular risk factors (CVRF) are a growing health problem in developed countries, being directly associated with acute coronary syndrome (ACS) occurrence and atrial fibrillation (AF). Nevertheless, new onset of AF in context of ACS is a clinical problem with prognostic and therapeutic implications.

Objective

Evaluate the impact of the CVRF in new onset AF during the hospitalization for ACS.

Methods

Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Patients were divided in two groups: A – without new onset of AF during the hospitalization for ACS and B – with new onset of AF during the hospitalization for ACS. CVFR was defined by body mass index, diabetes, arterial hypertension, smoking, coronary artery disease, neoplasia, dyslipidemia, chronic kidney disease and peripheral arterial disease. Logistic regression was performed to assess predictors of new onset AF in these patients.

Results

14037 patients were included, 637 in group B (4.8%). Both groups were similar regarding diabetes mellitus (p = 0.116), coronary artery disease (p = 0.264) and neoplasia (p = 0.327). Curiously the group A exhibited higher body mass index (27.5 ± 4.3 vs 27.2 ± 4.4, p < 0.001), smokers (28.1 vs 18.5%, p < 0.001) and dyslipidemia (62.8 vs 56.7%, p < 0.001). On the other hand, group B presented more females (26.4 vs 35.0%, p < 0.001), arterial hypertension (70.0 vs 74.9%, p = 0.002), peripheral arterial disease (5.4 vs 8.4%, p < 0.001) and chronic kidney disease (6.7 vs 9.5%, p < 0.001). Logistic regression revealed that body mass index, smoker status, diabetes, dyslipidemia, coronary artery disease, neoplasia, chronic kidney disease and peripheral arterial disease were not predictors of AF during the hospitalization for ACS. Nonetheless, female gender (odds ratio (OR) 1.23, p = 0.025, confidence interval (CI) 1.03-1.47), obesity (OR 1.39, p = 0.004, CI 1.11-1.74) and arterial hypertension (OR 1.22, p = 0.049, CI 1.01-1.50) were predictors of new onset of AF during hospitalization for ACS. Conclusions: Female gender, obesity and arterial hypertension were predictors of new onset of AF in during hospitalization for ACS.

Acute heart failure: does etiology matter?

Funding Acknowledgements

Type of funding sources: None.

Introduction

Patients (pts) with acute heart failure (AHF) are a heterogeneous population. The etiology of the heart disfunction may play a role in prognosis. Risk stratification at admission may help predict in-hospital complications and needs.

Objective

To explore predictors of in-hospital mortality (IHM), post discharge early mortality [1-month mortality (1mM)] and late mortality [1-year mortality (1yM)] and early and late readmission, respectively 1-month readmission (1mRA) and 1-year readmission (1yRA), in our center population, using real-life data.

Methods

Based on a single-center retrospective study, data collected from patients (pts) admitted in the Cardiology department with AHF between 2010 and 2017. Pts without data on previous cardiovascular history or uncompleted clinical data were excluded. The pts were divided in 3 groups: ischemic etiology (IE), valvular etiology (VE) and other etiologies (OE), which included hypertensive and idiopathic cardiomyopathies). Statistical analysis used non-parametric tests and Kaplan-Meyer survival analysis.

Results

We included 300 pts admitted with AHF. Mean age was 67.4 ± 12.6 years old and 72.7% were male. 37.7% had previous history of revascularization procedures, 66.9% had hypertension, 41% were diabetic and 38% had dyslipidaemia. The heart failure was of IE in 45%, VE in 22.7% and of OE in 32.3% of the cases.

There were no significant differences between groups regarding body mass index, Killip-Kimball class, systolic blood pressure at admission, blood tests aspects at admission (namely, creatinine, sodium or urea), inotropes’ usage or need of non-invasive or invasive ventilation. However, IE group had higher percentage of males comparing to VE e OE (83.0% vs 55.9% vs 70.1%, respectively, p < 0.001), higher rates of prior revascularization procedures (68.9%, vs 19.1%, vs 7.2%, p < 0.001) and higher rates of traditional cardiovascular risk factors, namely hypertension (74.1% vs 55.9% vs 57.7%, p = 0.014), diabetes mellitus (48.1% vs 27.9% vs 27.8%, p = 0.002) and dyslipidaemia (48.9% vs 30.9% vs 40.2%, p = 0.022). OE group was younger compared to IE and VE (63.9 ± 13.5 vs 68.9 ± 11.1 vs 69.5 ± 13.0 years old, respectively, p = 0.003). VE group had less left ventricle disfunction comparing to IE and VE groups (left ventricle ejection fraction 40.8 ± 14.1 vs 32.2 ± 9.8 vs 31.6 ± 12.8%, respectively, p < 0.001).

The groups showed no significant differences regarding IHM (IE 5.2% vs VE 8.8% vs OE 2.1%, p = 0.146), 1mRA (IE 8.1&, VE 7.4%, OE 3.1%, p = 0.276) or 1yRA (IE 55.6%, VE 54.4%, OE 47.4%, p = 0.449). However, VE group had higher rates of 1mM (VE 13.2% vs IE 8.9% vs OE 3.1%, p = 0.05) and 1yM compared to IE and OE (33.8% vs 30.4% vs 17.5%, respectively, p = 0.34). These aspects are represented in Kaplan Meier survival curves.

Conclusion

In our population, the etiology of heart failure was predictor of early and late post-discharge mortality but not readmission.

Effect of exercise training on amyloid-like protein aggregates among patients with heart failure

Funding Acknowledgements

Type of funding sources: Other. Main funding source(s): MG and CS were supported by a PhD FCT grant (SFRH/BD/128893/2017) and by an individual grant from CAPES [BEX 0554/14-6], respectively. This work was financially supported by the project POCI-01-0145-FEDER-030011, funded by FEDER, through COMPETE2020-POCI, and by national funds, through FCT/MCTES (PTDC/MEC-CAR/30011/2017). iBiMED is a research unit supported by the Portuguese Foundation for Science and Technology (REF: UID/BIM/04501/2020) and FEDER/Compete2020 funds).

Introduction

Amyloid-like protein aggregates play a decisive role in the pathology of heart failure. Alterations in protein homeostasis, in particular, the clearance of toxic amyloid-like aggregates are emerging therapeutic targets in cardiovascular medicine. The clinical benefits of cardiac rehabilitation and exercise training are widely accepted in heart failure; however, little is known about the potential benefit of exercise training in amyloid-like protein aggregates.

Purpose

To assess the effects of a moderate-intensity exercise training program on amyloid-like protein aggregates levels among patients with heart failure with reduced ejection fraction.

Methods

Eighteen subjects participated in the study; eight patients (age: 66.6 ± 5.9 years; FEVE: 38.4 ± 8.9%) with heart failure with reduced ejection fraction participated in a 3-month exercise training program (2 x 60 min sessions per week of moderate-intensity aerobic and resistance exercise). Ten healthy subjects (age: 68. 4 ± 3.1 years) were recruited to an age-matched reference group.  Amyloid-like protein aggregates were assessed before and after 3 months of exercise training. Clinical data, medication, anthropometrics, and cardiorespiratory fitness were also assessed. Thioflavin T (ThT) dye fluorescence was used to quantify the plasma levels of amyloid-like aggregates and the Fourier transform infrared spectroscopy (FTIR) was applied to evaluate the conformation of cross-β-sheet structures characteristic of amyloid protein aggregates.

Results

Exercise program improved cardiorespiratory fitness by 14.0 ± 17.1% (17.4 ± 3.2 to 19.7 ± 2.9 ml/kg/min) and reduced NT-proBNP levels by 16.5% (34.2) (median concentration of 632 pg/mL (720.8) to 517.5 pg/mL (707.0)) in the heart failure patients. A slight decrease of amyloid-like aggregates levels was observed in post-exercise training samples (a reduction of 3.1%); interestingly, after the exercise training program, the heart failure patients showed levels of amyloid-like aggregates similar to the reference group (1132.0 ± 114.2 vs. 1094.8 ± 132.9 a.u.). Additionally, the PLS-R multivariate analysis of the amide I region of the FTIR spectra revealed enrichment of antiparallel β-sheets (1693 cm-1) assigned to amyloid-like oligomers in the samples of heart failure patients before, but not after, the exercise program. Of note, oligomeric species, as intermediates of amyloid assembly, can contribute to the increase of amyloid burden, but also, some have been reported to be highly reactive and toxic to cells, being key elements of amyloid pathogenesis.

Conclusions

 Our preliminary results indicate that 3 months of exercise training may have significant effects on amyloid-like oligomers, and start hindering the formation of the larger ThT-positive aggregates among patients with heart failure.

Abstract Figure.

Cardiovascular risk factors as predictors of heart failure during hospitalization for Acute Coronary Syndromes

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

Cardiovascular risk factors (CVRF) are a growing health problem in developed countries. These patients have a higher prevalence of acute coronary syndromes (ACS) and as a consequence ACS complication, like heart failure (HF). HF after an ACS is a common complication and CVFR can influence its manifestation.

Objective

Evaluate the impact of the CVRF in HF during the hospitalization for ACS.

Methods

Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Patients were divided in two groups: A – without new onset of HF during the hospitalization for ACS and B – with new onset of HF during the hospitalization for ACS. CVFR was defined by body mass index, diabetes, arterial hypertension, smoking, neoplasia, dyslipidemia, coronary artery disease, chronic kidney disease and peripheral arterial disease. Logistic regression was performed to assess predictors of new onset HF in these patients.

Results

14717 patients were included, 2287 in group B (15.5%). Both groups were similar regarding body mass index (27.5 ± 4.3 vs 27.2 ± 4.4, p = 0.254). Curiously the group A exhibited higher prevalence of smoking status (29.8 vs 16.6%, p < 0.001). On the other hand, group B presented more females (25.0 vs 35.7%, p < 0.001), arterial hypertension (68.7 vs 78.2%, p < 0.001), diabetes mellitus (28.5 vs 43.1%, p < 0.001), dyslipidemia (62.2 vs 64.3%, p = 0.023), coronary artery disease (19.6 vs 25.6%, p < 0.001), neoplasia (4.4 vs 7.0%, p < 0.001), peripheral arterial disease (5.2 vs 15.8%, p < 0.001) and chronic kidney disease (4.6 vs 10.0%, p < 0.001). Logistic regression revealed that body mass index, diabetes, arterial hypertension, neoplasia and dyslipidemia were not predictors of HF during the hospitalization for ACS. Nevertheless, female gender (odds ratio (OR) 1.37, p < 0.001, confidence interval (CI) 1.22-1.54), chronic kidney disease (OR 1.59, p < 0.001, CI 1.33-1.90) and peripheral arterial disease (OR 1.54, p < 0.001, CI 1.27-1.86) were predictors of new onset of HF during hospitalization for ACS. Curiously, smoking seems to have a protective effect (OR 0.68, p < 0.001, CI 0.59-0.78) in new onset HF in ACS patients.

Conclusions

Chronic kidney disease and peripheral arterial disease were predictors of new onset of HF in during hospitalization for ACS.

Predictors of early and late re-hospitalization and mortality in non-ST elevation myocardial infarction

Funding Acknowledgements

Type of funding sources: None.

Introduction

Regarding prognosis, acute coronary syndromes (ACS) are heterogeneous. Non-ST elevation myocardial infarction (NSTEMI) is a subtype of ACS. In-hospital (IH) and post-hospitalization (PH) risk stratification is crucial.

Objective

To identify predictors of IH and PH mortality (early and late), as well as predictors of early and late re-admission (RA) in our center population suffering NSTEMI, using real-life data.

Methods

Based on a single-center retrospective study, data collected from admissions between 1/01/2018 and 11/12/2019. Patients (pts) who survived the ACS and were discharged from the hospital were included. Concerning prognosis, we assessed 1-month M and RA (1mM and 1mRA), 6-month M and RA (6mM and 6mRA), 1-year M and RA (1yM and 1yRA).

Results

268 pts with ACS, 59.7% were males and mean age was 66.4 ± 12.5 years old. NSTEMI was the diagnosis in 66.4% and ST elevation myocardial infarction (STEMI) in 31%. Mean creatinine was 1.2 ± 1ml/min, mean sodium was 138 ± 3mmol/L, mean blood urea nitrogen (BUN) was 21 ± 12mg/dL and mean haemoglobin (Hb) was 13.6 ± 1.9g/dL. 88.2% of the pts presented in Killip-Kimball class (KKC) 1, 5.7% in KKC 2, 5.7% in KKC 3 and 0.4% in KKC IV; furthermore, 4.1% of the pts presented de novo AF. Concerning coronary artery disease, 250 were submitted to coronary angiography – 18.8% had no lesions or non-significant lesions (stenosis <50%), 34.8% had one significant lesion, 23.2% had 2 significant lesions and 23.2% had 3 or more. Regarding left ventricle (LV) function, 70.5% of the pts had no LV dysfunction, 15.7% had mild LV impairment (LVI), 9.3% moderate LVI and 4.5% had severe LVI. 8.4% of the patients experienced IH complications, such as auriculoventricular block, heart failure, ventricular tachycardia, stroke, cardiorespiratory arrest and major haemorrhage, during hospitalization. 1mM rate was 1.9% and 1yM rate was 7.8%.

KKC (p = 0.001), BUN (p = 0.007), LV function (p= 0.001) and de novo AF (p = 0.46) were predictors of 1mM. Age (p = 0.004), KKC (p = 0.031), BUN (p = 0.002), sodium (p = 0.037), creatinine (p = 0.001), Hb (p = 0.003), LV function (p < 0.001), de novo AF (p < 0.001) and occurrence of IH complications (p < 0.001) were predictors of 1yM. Age (p = 0.010), male gender (p = 0.19), Hb (p = 0.031), de novo AF (p < 0.001) and occurrence of IH complications (p = 0.001) were predictors of 1mRA. Age (p = 0.004), smoking (p = 0.040), hypertension (p = 0.040), glycemia at admission (p = 0.031), Hb (p = 0.004), LV function (p = 0.019), de novo AF (p < 0.001) and occurrence of IH complications (p < 0.001) were predictors of 1yRA.

Conclusion

This study suggests that de novo AF and occurrence of IH complications are very important prognosis factors regarding early and late mortality and readmission rates.

Acute Coronary Syndrome - reinfarction predictors and outcomes

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

on behalf of the Investigators of " Portuguese Registry of ACS "

Introduction

Reinfarction (RI) is a potential complication of acute coronary syndromes (ACS) and it is, therefore, important to access its impact on prognosis and identify patients with higher risk of RI in the setting of ACS.

Objective

To evaluate predictors and prognosis of RI in the setting of ACS.

Methods

Based on a multicenter retrospective study, data collected from admissions between 1/10/2010 and 4/09/2019. Patients (pts) without data on previous cardiovascular history or uncompleted clinical data were excluded. Pts were divided in 2 groups (G): GA – pts without RI; GB - pts with RI during hospitalization. Logistic regression and survival analysis were performed.

Results

Between 25718 pts with ACS, RI occurred in 223 (0.87%). Regarding epidemiological factors and past history, GB was older (70 ± 12 vs 67 ± 14, p < 0.001), had higher rates of hypertension (77.4% vs 70.6%, p = 0.028), previous stroke (12.1% vs 7.2%, p = 0.005), peripheric arterial disease (10.0% vs 5.5%, p = 0.004) and chronic obstructive pulmonary disease (8.6% vs 4.4%, p = 0.003). GB had higher rates of non-ST-elevation myocardial infarction (MI) (54.3% vs 45.9%, p = 0.012) and GA had higher rates of ST-elevation MI (42.4% vs 35.9%, p = 0.049). The groups were similar regarding blood pressure (p = 0.285), heart rate (p = 0.796) and Killip-Kimball class at admission, but GB had higher levels of brain natriuretic peptide (392 vs 180, p = 0.005). GB had higher rates of multivessel disease (62.8% vs 51.6%, p = 0.002), left ventricle dysfunction (50.0% vs 39.1%, p = 0.002), higher needs of mechanical ventilation (6.3% and vs 1.9%, p < 0.001) non-invasive ventilation (5.4% vs 1.7%, p < 0.001). Logistic regression confirmed that peripheric arterial disease (p = 0.011, OR 1.93, CI 1.17-3.19), multivessel disease (p = 0.003, OR 1.69, CI 1.20-2.39) and lower left ventricle function (p < 0.001, OR 2.42, CI 1.69-3.47) were predictors of RI in the setting of ACS. Event-free survival was similar between groups (p = 0.399).

Conclusion

RI in the setting of ACS was associated multivessel disease and left ventricle disfunction, however, 1-year prognosis was similar to pts who didn’t suffer RI.

Physical activity and its clinical correlates in chronic thromboembolic pulmonary hypertension

Funding Acknowledgements

Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Fundação para a Ciência (FCT) Coordenação de Aperfeiçoamento de Pessoal de Nível (CAPES)

Background

 Limited data is available on physical activity (PA) levels in chronic thromboembolic pulmonary hypertension (CTEPH) patients, as well as on the impact of using different tools to assess PA such as questionnaires and accelerometers. 

Purpose

 We aimed to quantify PA levels of CTEPH patients and study its clinical correlates, as well as to compare PA levels measured by the International Physical Activity Questionnaire (IPAQ) with measures from accelerometers.

Methods

 This is a cross-sectional study (n = 50). Physical activity levels were measured using accelerometers and questionnaire (IPAQ). Clinical parameters evaluated were walked distance on the 6-minute-walking test (6MWT), pulmonary vascular resistance, N-terminal brain natriuretic peptide and quality of life (HRQoL) using the Cambridge Pulmonary Hypertension Outcome Review questionnaire.

Results

 Accelerometer-derived data showed that CTEPH patients spent 60% of the recorded time in sedentary behaviours and only 2% in moderate-to-vigorous PA (MVPA). MVPA was mildly correlated with 6MWT (r = 0.359; p= 0.023) and symptom domain of HRQoL (r=-0.371; p = 0.044) but not with NT-proBNP, pulmonary vascular resistance or functional domain of HRQoL. Time spent in sedentary behaviour was lower in self-reported measurement (279 ± 165min/day) compared to accelerometry (446 ± 117min/day, p < 0.001). Self-reported MVPA was significantly higher than the one registered by the accelerometer (411 ± 569 vs. 131 ± 108 min/week, p = 0.027). Bland-Altman analysis indicated poor agreement between the two methods. 

Conclusions

 Our results showed that CTEPH patients spend most of their days in sedentary behaviors and only a small amount of time in MVPA. MVPA was associated with symptoms domain of HRQoL and submaximal functional capacity. In addition, we showed a poor agreement between self-reported and accelerometer-derived PA in CTEPH patients, with the former overestimating the overall PA activity.

Acute heart failure: is ACTION-ICU useful?

Funding Acknowledgements

Type of funding sources: None.

Introduction

Patients (pts) with acute heart failure (AHF) are a heterogeneous population. Risk stratification at admission may help predict in-hospital complications and needs. ACTION ICU score is validated to estimate the risk of complications requiring ICU care in non-ST elevation acute coronary syndromes.

Objective

To validate ACTION-ICU score in AHF as predictor of in-hospital M (IHM), post discharge early M [1-month mortality (1mM)] and 1-month readmission (1mRA), in our center population, using real-life data.

Methods

Based on a single-center retrospective study, data collected from pts admitted in the Cardiology department with AHF between 2010 and 2017. Pts without data on previous cardiovascular history or uncompleted clinical data were excluded. Statistical analysis used non-parametric tests, logistic regression analysis and ROC curve analysis.

Results

We included 300 pts admitted with AHF. Mean age was 67.4 ± 12.6 years old and 72.7% were male. 37.7% had previous history of revascularization procedures, 66.9% had hypertension, 41% were diabetic and 38% had dyslipidaemia. Mean heart rate was 95.5 ± 27.5bpm, mean systolic blood pressure (SBP) was 131.2 ± 37.0mmHg, mean urea level at admission was 68.8 ± 40.7mg/dL, mean sodium was 137.6 ± 4.7mmol/L, mean glomerular filtration rate (GFR) was 57.1 ± 23.5ml/min. 35.3% were admitted in Killip-Kimball class (KKC) 4. Mean ACTION-ICU score was 10.4 ± 2.3. Inotropes’ usage was necessary in 32.7% of the pts, 11.3% of the pts needed non-invasive ventilation (NIV), 8% needed invasive ventilation (IV). IHM rate was 5% and 1mM was 8%. 6.3% of the pts were readmitted 1 month after discharge.

Older age (p < 0.001), lower SBP (p = 0,035), presenting in KKC 4 (p < 0.001, OR 8.13) and need of inotropes (p < 0.001) were predictors of IHM in our population. Older age (OR 1.06, p = 0.002, CI 1.02-1.10), lower SBP (OR 1.01, p = 0.05, CI 1.00-1.02) and lower left ventricle ejection fraction (LVEF) (OR 1.06, p < 0.001, CI 1.03-1.09) were predictors of need of NIV. None of the studied variables were predictive of need of IV. LVEF (OR 0.924, p < 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p < 0.001, CI 0.971-0.988), higher urea (OR 1.01, p < 0.001, CI 1.005-1.018) and lower sodium (OR 0.92, p = 0.002, CI 0.873-0.971) were predictors inotropes’ usage.

ACTION-ICU was able to predict IHM (OR 1.51, p = 0.02, CI 1.158-1.977), 1mM (OR 1.45, p = 0.002, CI 1.15-1.81) and inotropes’ usage (OR 1.22, p = 0.002, CI 1.08-1.39), but not 1mRA, the need of IV or NIV.

ROC curve analysis revealed ACTION-ICU performs well when predicting IHM (Area under curve (AUC) 0.729, confidence interval (CI) 0.59-0.87), inotropes’ usage (AUC 0.619, CI 0.54-0.70) and 1mM (AUC 0.705, CI 0.58-0.84).

Conclusion

In our population, ACTION-ICU score was able to predict IHM, 1mM and inotropes’s usage.

Acute heart failure: predicting early in-hospital outcomes

Funding Acknowledgements

Type of funding sources: None.

Introduction

Patients (P) with acute heart failure (AHF) are a heterogeneous population. Risk stratification at admission may help predict in-hospital complications and needs. The Get With The Guidelines Heart Failure score (GWTG-HF) predicts in-hospital mortality (M) of P admitted with AHF. ACTION ICU score is validated to estimate the risk of complications requiring ICU care in non-ST elevation acute coronary syndromes.

Objective

To validate ACTION-ICU score in AHF and to compare ACTION-ICU to GWTG-HF as predictors of in-hospital M (IHM), early M [1-month mortality (1mM)] and 1-month readmission (1mRA), using real-life data.

Methods

Based on a single-center retrospective study, data collected from P admitted in the Cardiology department with AHF between 2010 and 2017. P without data on previous cardiovascular history or uncompleted clinical data were excluded. Statistical analysis used chi-square, non-parametric tests, logistic regression analysis and ROC curve analysis.

Results

Among the 300 P admitted with AHF included, mean age was 67.4 ± 12.6 years old and 72.7% were male. Systolic blood pressure (SBP) was 131.2 ± 37.0mmHg, glomerular filtration rate (GFR) was 57.1 ± 23.5ml/min. 35.3% were admitted in Killip-Kimball class (KKC) 4. ACTION-ICU score was 10.4 ± 2.3 and GWTG-HF was 41.7 ± 9.6. Inotropes’ usage was necessary in 32.7% of the P, 11.3% of the P needed non-invasive ventilation (NIV), 8% needed invasive ventilation (IV). IHM rate was 5% and 1mM was 8%. 6.3% of the P were readmitted 1 month after discharge.

Older age (p < 0.001), lower SBP (p = 0,035) and need of inotropes (p < 0.001) were predictors of IHM in our population. As expected, patients presenting in KKC 4 had higher IHM (OR 8.13, p < 0.001). Older age (OR 1.06, p = 0.002, CI 1.02-1.10), lower SBP (OR 1.01, p = 0.05, CI 1.00-1.02) and lower left ventricle ejection fraction (LVEF) (OR 1.06, p < 0.001, CI 1.03-1.09) were predictors of need of NIV. None of the variables were predictive of IV. LVEF (OR 0.924, p < 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p < 0.001, CI 0.971-0.988), higher urea (OR 1.01, p < 0.001, CI 1.005-1.018) and lower sodium (OR 0.92, p = 0.002, CI 0.873-0.971) were predictors of inotropes’ usage.

Logistic regression showed that GWTG-HF predicted IHM (OR 1.12, p < 0.001, CI 1.05-1.19), 1mM (OR 1.10, p = 1.10, CI 1.04-1.16) and inotropes’s usage (OR 1.06, p < 0.001, CI 1.03-1.10), however it was not predictive of 1mRA, need of IV or NIV. Similarly, ACTION-ICU predicted IHM (OR 1.51, p = 0.02, CI 1.158-1.977), 1mM (OR 1.45, p = 0.002, CI 1.15-1.81) and inotropes’ usage (OR 1.22, p = 0.002, CI 1.08-1.39), but not 1mRA, the need of IV or NIV. ROC curve analysis revealed that GWTG-HF score performed better than ACTION-ICU regarding IHM (AUC 0.774, CI 0.46-0-90 vs AUC 0.731, CI 0.59-0.88) and 1mM (AUC 0.727, CI 0.60-0.85 vs AUC 0.707, CI 0.58-0.84).

Conclusion

In our population, both scores were able to predict IHM, 1mM and inotropes’s usage.

Acute Coronary Syndrome follow up: Portuguese experience

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

Acute coronary syndrome is a major health problem, with several acute and chronic complications. So, it is imperative identifying factors that can be associated with better and worse prognosis during the follow up these patients.

Objective

Evaluate predictors of mortality, cardiovascular readmission and all causes of readmission at 1 year follow up in ACS patients.

Methods

Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Logistic regression was performed to assess predictors of mortality, cardiovascular readmission and all causes of readmission at 1 year follow up in ACS patients.

Results

1492 patients were included, 141 die during the first year. Age > 75 years old (odds ratio (OR) 2.557, p < 0.001, confidence interval (CI) 1.727-3.785), heart rate < 60 (OR 2.686, p = 0.008, CI 1.296-5.569), cardiogenic shock (OR 6.726, p = 0.012, CI 1.512-29.915), creatinine >2mg/dL (OR 1.956, p = 0.023, CI 1.099-3.480), left ventricular ejection fraction <50% (OR 1.911, p = 0.001, CI 1.284-2.844), nitrate (OR 1.589, p = 0.020, CI 1.074-2.351), ivabradine (OR 1.831, p = 0.011, CI 1.146-2.924), aldosterone antagonists (OR 1.632, p = 0.020, CI 1.079-2.468), diuretic (OR 1.625, p = 0.023, CI 1.069-2.472) and mechanical complication d (OR 55.518, p < 0.001, CI 11.516-267.655) were predictors of mortality of 1 year of follow up. Regarding cardiovascular readmission was registered in 291 patients, of a total 1412. Were predictors of cardiovascular readmission previous history of heart failure (OR 1.467, p = 0.003, CI 1.135-1.895), cardiogenic shock (OR 3.447, p = 0.039, CI 1.068-11.128), acetylsalicylic acid previous to ACS (OR 1.751, p = 0.008, CI 1.285-2.385), multivessel disease (OR 1.667, p = 0.002, CI 1.206-2.306), left ventricular ejection fraction <50% (OR 1.489, p = 0.003, CI 1.145-1.938), nitrate (OR 1.812, p < 0.001, CI 1.403-2.341), aldosterone antagonists (OR 1.572, p = 0.004, CI 1.155-2.140) and sustained ventricular tachycardia (OR 55.518, p < 0.001, CI 11.516-267.655). On the other hand 411 patients was readmitted (all causes), in 1455 patients with follow up. Were predictors of all causes of readmission previous history of heart failure (OR 1.347, p = 0.025, CI 1.039-1.747), previous chronic obstructive pulmonary disease (OR 1.456, p = 0.041, CI 1.016-2.087), atrial fibrillation (OR 1.439, p = 0.027, CI 1.041-1.988), acetylsalicylic acid previous to ACS (OR 1.473, p = 0.001, CI 1.161-1.869), left ventricular ejection fraction <50% (OR 1.456, p = 0.001, CI 1.166-1.819), nitrate (OR 1.478, p < 0.001, CI 1.192-1.831), aldosterone antagonists (OR 1.493, p = 0.003, CI 1.148-1.943) and sustained ventricular tachycardia (OR 3.792, p = 0.004, CI 1.540-9.337). Conclusions: Left ventricular ejection fraction <50%, nitrate as discharge therapeutic and aldosterone antagonists as discharge therapeutic were predictors of mortality, cardiovascular readmission and readmission for all causes at 1 year follow up.

Stroke in acute coronary syndrome: predictors and prognosis

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

on behalf of the Investigators of " Portuguese Registry of ACS "

Introduction

Stroke is a potential complication of acute coronary syndromes (ACS) and it is, therefore, important to access its impact on prognosis and identify patients with higher risk of stroke in the setting of ACS.

Objective

To evaluate predictors and prognosis of stroke in the setting of ACS.

Methods

Based on a multicenter retrospective study, data collected from admissions between 1/10/2010 and 4/09/2019. Patients (pts) without data on previous cardiovascular history or uncompleted clinical data were excluded. Pts were divided in 2 groups (G): GA – pts without stroke; GB - pts with stroke during hospitalization. Logistic regression was performed to assess predictors of stroke in ACS. Survival analysis was evaluated through Kaplan Meier curve.

Results

Population – 25711 pts with ACS, CA occurred in 154 (0.6%). Regarding epidemiological factors and past history, GB was older (72 ± 12 vs 67 ± 14, p < 0.001), had higher rates of females (53.2% vs 27.5%, p < 0.001), diabetes (43.9% vs 31.5%, p < 0.001), previous stroke (13.3% vs 7.2%, p = 0.004), peripheric arterial disease (9.2% vs 5.5%, p = 0.044) and dementia (6.8% vs 1.7%, p < 0.001), and had lower rates of smoking (16.6% vs 26.7%, p = 0.005), dyslipidaemia (53.5% vs 61.6%, p = 0.047) and previous ACS (12.7% vs 20.6%, p = 0.017. GB had longer times from first symptoms to admission (340min vs 240min, p = 0.011). The groups were similar regarding diagnosis, namely non-ST-elevation myocardial infarction (MI) (p = 0.345) and ST-elevation MI (p = 0.541). GB had higher heart rate (HR) (84 ± 24 vs 77 ± 19, p = 0.001), presented more frequently in Killip-Kimball class (KKC) ≥2 (28.0% vs 15.1%, p < 0.001), in atrial fibrillation (AF) (16.4% vs 7.1%, p < 0.001) and with higher brain-natriuretic peptide levels (545 vs 180, p < 0.001). The groups were similar regarding culprit lesion and number of lesions. GB had more left ventricle (<50%) dysfunction (51.4% vs 39.1%, p < 0.001) and needed more frequently mechanical ventilation (10.4% vs 1.9%, p < 0.001) and provisory pacemaker (8.4% vs 1.5%, p < 0.001).

Logistic regression confirmed that older age (p = 0.018, OR 1.69, CI 1.10-2.60), female gender (p < 0.001, OR 2.09, CI 1.38-3.15), diabetes (p = 0.002, OR 1.91, CI 1.27-2.86), dementia (p = 0.047, OR 2.13, CI 1.01-4.50), AF (p = 0.024, OR 1.87, CI 1.09-3.21) and lower left ventricle function (p = 0.002, OR 2.01, CI 1.29-3.15) were predictors of stroke in the setting of ACS. Event-free survival was higher in GA than GB (79.9% vs 70.5%, OR 1.58, p < 0.001, CI 1.36-1.83).

Conclusion

As expected, stroke in the setting of ACS is associated with poorer prognosis. Several characteristics of the pts may help to predict the occurrence of stroke during hospitalizations, therefore allowing an earlier identification and prompt treatment.

Cardiovascular risk factors as predictors of completed atrioventricular block during hospitalization for Acute Coronary Syndromes

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

The presence of cardiovascular risk factors (CVRF) are directly related to acute coronary syndrome (ACS) occurrence. ACS is a major health problem with multiple complications. Completed atrioventricular block (CAVB) in context of ACS can impact the patient’s prognosis, and is not clarified if its presence can be predicted only by CVFR.

Objective

Evaluate the impact of the CVRF in CAVB during the hospitalization for ACS.

Methods

Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Patients were divided in two groups: A – without CAVB during the hospitalization for ACS and B – with CAVB during the hospitalization for ACS. CVFR was defined by body mass index, diabetes, arterial hypertension, smoking, coronary artery disease, neoplasia, dyslipidemia, chronic kidney disease and peripheral arterial disease. Logistic regression was performed to assess predictors of CAVB in these patients.

Results

14031 patients were included, 401 in group B (2.9%). Both groups were similar regarding smoking status (p = 0.920), arterial hypertension (p = 0.928), diabetes mellitus (p = 0.249), peripheral arterial disease (p = 0.352) and chronic kidney disease (p = 0.783). Interestingly the group A exhibited higher body mass index (27.4 ± 4.3 vs 26.9 ± 4.5, p < 0.001), dyslipidemia (62.8 vs 53.6%, p < 0.001) and coronary artery disease (20.7 vs 15.0%, p = 0.001). On the other hand, group B presented more females (26.7 vs 31.5%, p = 0.012), mean age (66 ± 13 vs 71 ± 13, p < 0.001) and neoplasia (4.8 vs 7.1%, p = 0.012). Logistic regression revealed that any of the CVRF were a predictor of CAVB during the hospitalization for ACS. Just, age (odds ratio 1.48, p < 0.001, confidence interval 1.16-1.88) has been a predictor of CAVB during hospitalization for ACS.

Conclusions

Any CVFR was a predictor of CAVB in context of ACS. Age was a predictor of CAVB during hospitalization for ACS.

Heart failure in Acute Coronary Syndrome: predictors and prognosis

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

on behalf of the Investigators of " Portuguese Registry of ACS "

Introduction

Heart failure (HF) is a frequent complication of acute coronary syndromes (ACS). Therefore, it is important to access its impact on prognosis and identify patients (pts) with higher risk of HF.

Objective

To evaluate predictors and prognosis of HF in the setting of ACS.

Methods

Based on a multicenter retrospective study, data collected from admissions between 1/10/2010 and 4/09/2019. Pts without data on cardiovascular history or uncompleted clinical data were excluded. Pts were divided in 2 groups (G): GA – pts without HF; GB - pts with HF during hospitalization.

Results

HF occurred in 4003 (15.6%) out of 25718 pts with ACS. GB was older (74 ± 12 vs 65 ± 13, p < 0.001), had more females (36.3% vs 26.2%, p < 0.001), had higher rates of arterial hypertension (78.4% vs 69.3%, p < 0.001), dyslipidaemia (64.4% vs 61.1%. p < 0.001), previous ACS (25.6% vs 19.7%, p < 0.001,), previous HF (16.4% vs 4.1%, p < 0.001), previous stroke (11.9% vs 6.4%, p < 0.001), chronic kidney disease (CKD) (17.1% vs 5.5%, p < 0.001), chronic obstructive pulmonary disease (COPD) (7.8% vs 3.8%, p < 0.001) and longer times from first symptoms to admission (268min vs 238min, p < 0.001). GA had higher rate of smokers (28.4% vs 16.2%, p < 0.001) and higher rate of non-ST-elevation myocardial infarction (MI) (46.5% vs 43.0%, p < 0.001). GB had higher rates of ST-elevation MI (STEMI) (49.2% vs 41.1%, p < 0.001), namely anterior STEMI (58.1% vs 44.9%, p < 0.001). GB had lower blood pressure (130 ± 32 vs 140 ± 28, p < 0.001), higher heart rate (86 ± 23 vs 76 ± 18, p < 0.001), Killip-Kimball class (KKC) ≥2 (63.2% vs 6.7%, p < 0.001), atrial fibrillation (AF) (15.4% vs 5.7%, p < 0.001), left bundle branch block (7.5% vs 3.1%, p < 0.001) and were previously treated with diuretics (39.1% vs 22.1%, p < 0.001), amiodarone (2.2% vs 1.4%, p < 0.001) and digoxin (2.8% vs 0.7%, p < 0.001). GB had higher rates of multivessel disease (66.0% vs 49.5%, p < 0.001) and planned coronary artery bypass grafting (7.3% vs 6.0%, p < 0.001), reduced left ventricle function (72.3% vs 33.4%, p < 0.001) and needed more frequently mechanical ventilation (8.2% vs 0.9%, p < 0.001), non-invasive ventilation (8.7% vs 0.5%, p < 0.001) and provisory pacemaker (4.5% vs 1.0%, p < 0.001). Logistic regression confirmed females (p < 0.001, OR 1.42, CI 1.29-1.58), diabetes (p < 0.001, OR 1.43, CI 1.30-1.58), previous ACS (p < 0.001, OR 1.27, CI 1.10-1.47), previous stroke (p < 0.001, OR 1.35, CI 1.16-1.57), CKD (p < 0.001, OR 1.76, CI 1.50-2.05), COPD (p < 0.001, OR 2.15, CI 1.82-2.54), previous usage of amiodarone (p = 0.041, OR 1.35, CI 1.01-1.81) and digoxin (p < 0.001, OR 2.30, CI 1.70-3.16), and multivessel disease (p < 0.001, OR 1.64, CI 1.67-2.32) were predictors of HF in the setting of ACS. Event-free survival was higher in GA than GB (79.5% vs 58.1%, OR 2.3, p < 0.001, CI 2.09-2.56).

Conclusion

As expected, HF in the setting of ACS is associated with poorer prognosis. Several features may help predict the HF occurrence during hospitalizations, allowing an earlier treatment.

SEOR SBRT-SG survey on SRS/SBRT dose prescription criteria in Spain

AIM

Stereotactic body radiotherapy (SBRT) and stereotactic radiosurgery (SRS) are essential tools in radiation oncology. In Spain, the use of these techniques continues to grow as older linear accelerators (linacs) are replaced with modern equipment. However, little is known about inter-centre variability in prescription and dose heterogeneity limits. Consequently, the SBRT-Spanish Task Group (SBRT-SG) of the Spanish Society of Radiation Oncology (SEOR) has undertaken an initiative to assess prescription and homogeneity in SRS/SBRT treatment. In the present study, we surveyed radiation oncology (RO) departments to obtain a realistic overview of prescription methods used for SBRT and SRS treatment in Spain.

METHODS

A brief survey was developed and sent to 34 RO departments in Spain, mostly those who are members of the SEOR SBRT-SG. The survey contained seven questions about the specific prescription mode, dose distribution heterogeneity limits, prescription strategies according to SRS/SBRT type, and the use of IMRT-VMAT (Intensity Modulated Radiation Therapy-Volumetric Modulated Arc Therapy).

RESULTS

Responses were received from 29 centres. Most centres (59%) used the prescription criteria D_95% ≥ 100%. Accepted dose heterogeneity was wide, ranging from 107 to 200%. Most centres used IMRT-VMAT (93%).

CONCLUSIONS

This survey about SRS/SBRT prescription and dose heterogeneity has evidenced substantial inter-centre variability in prescription criteria, particularly for intended and accepted dose heterogeneity. These differences could potentially influence the mean planning target volume dose and its correlation with treatment outcomes. The findings presented here will be used by the SEOR SBRT-SG to develop recommendations for SRS/SBRT dose prescription and heterogeneity.

Comparison of clinical and echocardiographic scores to predict pre-capillary pulmonary hypertension

Funding Acknowledgements

Type of funding sources: None.

Background

Right heart catheterization (RHC) is the gold-standard method to confirm the diagnosis of Pulmonary Hypertension (PH) and to differentiate between pre- and post-capillary PH. However, RHC is an invasive and sometimes low-available procedure, which cannot be performed in all the patients with suspected PH. Clinical and echocardiographic scores have been developed to predict pre-capillary PH. We aimed to compare the performance of four of these scores in a population with suspected PH.

Methods

We retrospectively included consecutive patients who underwent RHC for suspected PH. If the non-invasive evaluation was clearly suggestive of left heart disease, RHC was dispensed being considered not clinically relevant. We also excluded patients with congenital heart disease. We compared the performance of four scores to predict pre-capillary PH: Score 1 (Opotowsky et al.), score 2 (Richter et al.), score 3 (Berthelot et al.) and score 4 (D’Alto et al..

Results

Of the 142 included patients, 76 patients had pre-capillary PH, 42 had post-capillary PH and 24 patients did not meet invasive criteria for PH. We were able to perform the aforementioned scores in the majority of our patients (82% for score 1, 100% for score 2, 98% for score 3 and 83% for score 4). The AUC to predict pre-capillary PH using these scores were 0.74 for score 1, 0.77 for score 2, 0.82 for score 3 and 0.70 for score 4 (p = 0.37). Using the best cut-off points for each score, the score 3 correctly classified the highest percentage of patients (75.5%), with a sensitivity of 92% and a specificity of 60% to predict pre-capillary PH.

Conclusion

Combined clinical and echocardiographic characteristics can be used to predict pre-capillary PH with a fairly good performance. Score 3 (Berthelot et al.) was the score with the highest discrimination power. Validation of these scores in larger cohorts of patients with suspected PH are needed.

Clinical and echocardiographic characteristics Interpretation Opotowsky et al. LA diameter (<32 mm: +1, >24 mm: -1), mid-systolic notch or acceleration time <80 msec (+1), E/e’>10 (-1) Score ≥ 0 has a sens. 100% and a spec. 62% for pre-capillary PH Richter et al. Age > 68 years (+1), BMI > 30 kg/m2 (+1), absence of RV enlargement (+1), LA enlargement (+1) Score >4 predicted post-capillary PH (AUC 0.78) Berthelot et al. Atrial fibrillation (+2), diabetes mellitus (+1), LA enlargement (15 ≤ LAA < 19: +1, 19 ≤ LAA < 24: +2, ≥ 19 cm2: +3), RV end-diastolic area (<27 cm2: +2), LV mass index (46 < LVMI ≤ 62: +1, 62 < LBMI ≤ 81: +2,< 81 cm2: +3) Score <5 ruled out post-capillary PH D’Alto et al E/e" ≤ 10 (+2), dilated non-collapsible IVC (+2), EI ≥ 1.2 (+1), right-to-left heart chamber dimension ratio > 1 (+1), RV forming the heart apex (+1) Score ≥ 2 has a sens. 99% and a spec. 54% for pre-capillary PH (AUC 0.85) Table 1. The clinical and echocardiographic scores evaluated in this study. AUC: area under the curve, EI: eccentricity index, IVC: inferior vena cava, LA: left atrial, LAA: left atrial area, LV: left ventricle, LVMI: left ventricle mass index, PH: pulmonary hypertension, Sens.: sensibility, Spec.: specificity, RV: right ventricle Abstract Figure.

Predictors of survival in patients with precapillary pulmonary hypertension

Funding Acknowledgements

Type of funding sources: None.

Introduction

Although the perceived prognosis of patients with precapillary pulmonary hypertension (PH) is poor, the natural history of this condition is very heterogeneous. In this study we sought to identify predictors of poor outcomes which could help refine prognosis.

Methods

We studied consecutive patients referred to our centre from 12/2016 to 11/2018 with confirmed precapillary PH. A range of clinical, laboratory, echocardiographic and right heart catheterization (RHC) data variables were collected to assess predictors of survival. Outcome was defined as mortality from any cause.

Results

Of the 80 included patients, 51 (64%) were female and mean age was 60.5 ± 16.0 years. The majority of patients (45%) had pulmonary arterial hypertension (group 1) and 41% were chronic thromboembolic pulmonary hypertensive disease patients (group 4). During a median follow-up of 18.7 [IQR 12.3 – 26.7] months, 10 patients (12.5%) died. New York Heart Association (NYHA) functional class (HR 19.4 [95% CI 2.56 - 147.5], p = 0.004) was the strongest predictor of mortality, whereas higher haemoglobin (HR 0.70 [0.49 - 0.99], p= 0.047) and 6-minute walking distance (6MWD) expressed as percentage of predicted (HR 0.96 [0.93 - 0.99], p = 0.004) were associated with better survival overall. Echocardiographic parameters such as eccentricity index (HR 3.35 (95% CI 1.11 - 10.0), p = 0.031), short pulmonary acceleration time (HR 0.98 [95% CI 0.96 - 0.99], p = 0.008), the presence of moderate to severe tricuspid regurgitation (HR 6.46 [95% CI 1.67 - 25.0], p = 0.007) and pericardial effusion (HR 3.86 [95% CI 1.12 - 13.4], p = 0.033) were also associated with death. Traditional right ventricular function parameters such as fractional area change, tricuspid annular plane systolic excursion (TAPSE) and S velocity of the lateral annular tricuspid annulus did not predict mortality in these patients. Invasive pressures and pulmonary vascular resistance measured by RHC were also not associated with mortality. In multivariable analysis, NYHA functional class was the only independent predictor of mortality in patients with precapillary PH (HR 14.5 [95% CI 2.3 - 146.8], p = 0.006).

Conclusion

Eccentricity index, short pulmonary acceleration time, moderate to severe tricuspid regurgitation and pericardial effusion were associated with poor survival. Functional class was the strongest independent predictor of mortality in precapillary PH patients. These parameters may help stratify the risk of death in this heterogenous population.

Air quality in cities of the extreme south of Brazil

The region comprised of cities located in the extreme south of Brazil has numerous potential sources of pollution, such as industries, mining and agricultural activities. Despite this, they do not have detailed scientific information regarding air quality. The present study aimed to evaluate air quality in nine municipalities in the extreme south of Brazil, based on the monitoring of six pollutants (O3 , NO2, SO2, PM2.5, PM10 and CO) present in Brazilian environmental legislation and the relationship of these pollutants with meteorological parameters. Information on air pollutants and meteorological parameters was collected from satellite data from the European Centre for Medium-Range Weather Forecasts “Copernicus Atmospheric Monitoring Service”, extracted using The Wealther Channel (IBM, USA) during the period ranged from April 25, 2020 to July 4, 2020 in Rio Grande, Pelotas, Bagé, Candiota, Hulha Negra, Pedras Altas, Aceguá and Herval. The concentration of pollutants was below Brazilian limits, with the exception of a single episode in the municipality of Rio Grande. Temperature was the meteorological parameter most correlated with air pollutants, except for SO2, but in general, all pollutants correlated (positive or negative) with at least one atmospheric parameter. Finally, the composition of air pollutants in each municipality seems to be related to its local economic activity. We encourage the continuity of studies in the region aiming at a complete temporal analysis that encompasses all seasons.

Diabetes and pre-infarct angina. Time to rethink comorbidities in the reperfusion-injury phenomenon?

Background

Pre-infarct angina (PIA) has been shown to reduce reperfusion injury and infarct size in patients with ST-elevation myocardial infarction (STEMI) and currently represents the most efficient form of myocardial conditioning yet discovered. The role of diabetes on ischemic preconditioning remains controversial – while some pre-clinical studies suggest that diabetes blunts ischemic conditioning, clinical studies are lacking.

Methods

We retrospectively evaluated consecutive patients with STEMI admitted in our hospital from January 2008 to August 2018 who underwent primary angioplasty (PCI). PIA was defined as chest, arm or jaw pain during the preceding 48h before STEMI diagnosis. Peak creatine kinase and peak Troponin T levels were used as a surrogate of infarct size. Ischemic time (IT) was defined as the time between the onset of symptoms to the restoration of flow after either guidewire passage, thrombus aspiration or first balloon inflation.

Results

Of the 1143 included patients, 74% (n=845) were male and mean age was 62.6±13.1 years. A quarter of STEMI-patients had diabetes (25%, n=285). Almost a third of the patients (32%, n=359) had a history of angina in the preceding 48h before STEMI (PIA). The proportion of PIA was similar between diabetic and non-diabetic patients. In patients with diabetes, PIA was associated with lower creatine kinase (CK) (1144 [500–2212] vs 1715 [908–3309] U/L, p=0.0029) and Troponin T (TnT 3.30 [1.90–6.58] vs 4.88 [2.50–9.58] ng/mL, p=0.0022) despite similar IT as compared to those without PIA (328 [200–554] vs. 258 [180–530] minutes, p=0.1365). In non-diabetic patients, PIA was not significantly associated with infarct size (TnT 3.74 [2.23–7.11] vs 4.56 [2.44–7.77] ng/mL, p=0.1945; CK 1549 [910 - 2909] vs 1793 [996 - 3078] U/L, p=0.0653) even after adjustment for the increased ischemic time (240 [150–550] vs. 210 [140–405] minutes, p=0.0128) (β=−0.12, p=0.085 for CK and β=−0.11, p=0.183 for TnT). A significant interaction was observed between the existence of PIA and diabetes on peak TnT (p=0.026 for interaction) and CK (p=0.047 for interaction), which was independent of the culprit vessel and IT. During a median follow-up period of 18.0 [12.1–25.5] months, 268 (24.0%) MACE events have occurred (165 deaths, 27 strokes, 46 myocardial infarctions and 26 target vessel revascularization). PIA was associated with a significant reduction in the incidence of MACE (HR 0.66 (95% CI: 0.48–0.89)) driven by a reduction on mortality (HR 0.44 (95% CI: 0.28–0.70)). Diabetes was associated with an increased incidence of MACE (HR 1.42 (95% CI: 1.07–1.89)). No interaction was found between diabetes and PIA on their effect on MACCE events.

Conclusion

PIA is a strong predictor of favourable outcomes in the setting of STEMI. The effect of PIA on myocardial protection in patients with STEMI undergoing primary PCI seems to be modulated by the presence of diabetes.

Distribution of Peak CK and Peak TnT

Funding Acknowledgement

Type of funding source: None

Does coronary calcium scoring adds value to cardiovascular risk prediction in asymptomatic population?

Background

Despite being a controversial subject, multiple guidelines mention the use of Coronary Artery Calcification (CAC) scoring in the cardiovascular risk prediction, in asymptomatic population. The inclusion of CAC scoring in traditional risk models may help in decision-make providing better cardiovascular risk stratification.

Purpose

The aim of our study is to estimate the impact of CAC scoring in cardiovascular events risk prediction in a model based on traditional risk factors (TRFs).

Methods and results

The study consisted of 1052 asymptomatic individuals free of known coronary heart disease, enrolled from GENEMACOR study and referred for computed tomography for the CAC scoring assessment. A cohort of 952 was followed for a mean of 5.2±3.2 years for the primary endpoint of all-cause of cardiovascular events. The following traditional risk factors were considered: (1) current cigarette smoking, (2) dyslipidemia, (3) diabetes mellitus, (4) hypertension and (5) family history of coronary heart disease. Among this population, the extent of CAC differs significantly between men and women in the same age group. Therefore, the distribution of CAC score by age and gender was done by using the Hoff's nomogram (a). According to this nomogram, 3 categories were created: low CAC (0≤CAC<100 and P<50); moderate CAC (100≤CAC<400 or P50–75) and high CAC (CAC≥400 or P>75). Two Cox regression models were created, the first only with TRFs and the second adding the CAC severity categories. When including CAC categories to the TRFs, the higher severity level presented a significant risk of MACE occurrence with an HR of 4.39 (95% CI 1.83–10.52; p=0.001).

Conclusion

Our results point to the importance of the inclusion of CAC in both primary and secondary prevention to an improved risk stratification. Larger prospective multicentre cohorts with longer follow-up should reproduce and validate these findings.

Funding Acknowledgement

Type of funding source: None

Iatrogenic transthyretin cardiac amyloidosis after sequential liver transplantation

Introduction

Sequential liver transplantation (SLT) uses livers excised from patients with hereditary transthyretin-related amyloidosis during liver transplantation as grafts to other patients with severe hepatic pathologies and a reserved prognosis. We intended to investigate the development of cardiac manifestations consistent with iatrogenic transthyretin amyloidosis (iATTR).

Methods

We retrospectively analyzed the medical records of 72 consecutive patients submitted to SLT between 2007 and 2010, who received livers with V30M mutation.

Results

Our sample had 79% male patients and a mean age at transplantation of 55±6 years. Median follow-up time was 80 months, were 44% of the patients died. One-year mortality rate after SLT was 7%. Clinical manifestations of iATTR occurred in 29% of individuals, on average 6 years after SLT, and amyloid was seen in 76% of those who underwent a biopsy. Left ventricular hypertrophy (LVH) was identified in 42 (58%) patients at baseline. Considering 39 patients that had an echocardiography at baseline and during follow-up, 22 (61%) presented de novo LVH or basal LVH worsening during follow-up, with a significant increase of wall thickness (11±1 to 13±3 mm; p<0.001). They had similar age at presentation (55±5 vs 58±5, p=0.249) and incidence of hypertension (52% vs 64%, p=0.365) but higher incidence of chronic kidney disease (CKD; 68% vs 29%, p=0.023). Mortality during follow-up was higher in patients with de novo LVH or worsening LVH but not significantly, probably due to the sample size (23% vs 7%, p=0.221, log rank test p=0.262). Considering the global sample, significant conduction changes were rarely seen (1 patient); however, there was a trend towards an increase in PR interval and atrial fibrillation was reported in 8% of cases.

Conclusions

In our sample, probable iATTR was often seen within a decade after SLT. Further investigation of LVH needs to be made in these patients, as it can represent amyloid cardiomyopathy, but other contributing factors such as hypertension, CKD and age need to be taken into consideration. In our sample, development of a possible infiltrative pattern was relatively more common and conduction disorders were rarer than one would extrapolate from hereditary early onset ATTR V30M patients. Further studies may help us clarify if indeed these patients behave like late onset ATTR V30M. Our data suggests that these patients should probably undergo periodic cardiac imaging during follow-up.

Funding Acknowledgement

Type of funding source: None

TCF21 variant is a risk factor for coronary artery disease and will it be a prognostic marker?

Background

TCF21 gene, encodes a basic-helix- loop- helix transcription factor, playing a critical action in the development of epicardial progenitor cells that give rise to coronary artery smooth muscle cells (SMC) and cardiac fibroblasts. Recent data suggest that TCF21 may play a role in the state of differentiation of SMC precursor cells that migrate to vascular lesions and contribute to fibrous cap.

Purpose

Investigate the association of TCF21 rs12190287G>C variant with coronary artery disease (CAD) in a Portuguese population and its role on the prognosis.

Methods

Case-control study with 3120 participants, 1687 coronary patients with at least 75% obstruction of a major coronary artery and 1433 controls. Genotyping used the TaqMan technique (Applied Biosystems) and then a univariate and multivariate logistic regression analysis were performed. After a mean follow-up of 5.01±4.2 years (interquartile range 1.96–7.57), the occurrence of the combined Major Adverse Cardiovascular Events (MACE) (Cardiovascular Mortality, non-fatal Myocardial Infarction, new Revascularization, Cerebrovascular Disease and Peripheric Vascular Disease) were registered and analysed by Cox regression. Finally, Kaplan-Meier survival estimate was performed.

Results

In the total population, GC+CC genotype was found to be associated with CAD with an OR of 1.285; CI: 1.022–1.614; p=0.031. After multivariate logistic regression, adjusted to traditional risk factors, the association with CAD remained significant for this genotype (OR=1.340; CI: 1.042–1.723; p=0.022).After Cox regression adjusted for confounding variables (age and sex, hypertension, diabetes, smoking, dyslipidemia, eGFR, Ejection fraction <55) the mutated genotype remained a significant predictor of MACE (HR=1.420; CI: 1.032–1.953; p=0.031). The individuals carrying the mutated allele (GC+CC) at the mean follow-up showed an event probability of 36.1%, whereas the wild population (GG) presented only 23.4%. The Log-Rank test showed significant differences between the two curves (p=0.019).

Conclusion

The mutated TCF21 variant can provide a new marker to identify patients at high cardiovascular risk and may representa potential target for gene therapy in future.

Figure 1

Funding Acknowledgement

Type of funding source: None

Shaping the future of metabolic syndrome: genetics, prognosis and individual tailoring

Background

Metabolic syndrome (MetS), characterized by a cluster of cardiovascular risk factors, is considered to be the major health hazard of modern world and a 21st century epidemic. Recent GWAS have identified several susceptibility regions involved in lipid metabolism and oxidation, also associated with MetS. Genetic risk score (GRS) is an emerging method that attempts to establish correlation between SNPs and clinical phenotypes.

Aim

Evaluate the value of a GRS encompassing SNPs involved in lipidic metabolism and oxidation pathways, in predicting CAD outcome (MACEs and long-term cardiovascular Mortality) in a coronary population with MetS.

Methods

1101 coronary patients and MetS, were selected from the GENEMACOR study. Genotyping was performed by TaqMan allelic discrimination assay. A Multiplicative score (mGRS) was constructed according to the multiplicative model with variants belonging to the lipid and oxidative axes (PSRC1, PCSK9, KIF6, ZNF259, LPA, APO E, PON192, PON108, PON55, MTHFR677, MTHFR1298, MTHFD1L). This GRS was categorized using the mean (higher vs lower than mean). Cumulate Mortality Hazards Model (Cox regression) adjusted for age, gender, smoking, hypertension, dyslipidaemia, diabetes, hsCRP, eGFR, Ejection fraction (EF), and multivessel disease) was used to find independent predictors of cardiovascular outcome. We performed Kaplan-Meier Survival curves for both groups (higher vs lower than mean GRS) and log-rank test to compare survival distributions in both groups.

Results

The following variables have emerged independently associated with time to MACE occurrence: mGRS (HR=1.31 95% CI (1.07; 1.59); p=0.008), male gender, EF and multivessel disease. Concerning cardiovascular mortality, mGRS also remained an independent predictor (HR=1.44 (1.04–1.99); p=0.028) alongside age, smoking, diabetes and EF. The Log-Rank test showed significant differences between the two curves related to MACE occurrence and cardiovascular mortality (p=0.001 and 0.002, respectively). The Kaplan-Meier survival showed that as mGRS increases, patient survival decreases.

Conclusion

In patients with MetS, a GRS comprising variants in lipidic and oxidative pathways, proved to be a useful stratification tool, identifying patients likely to have a worst prognosis over time. Our data further underlines the additive potential and clinical utility of genetic information in shaping secondary prevention.

Figure 1

Funding Acknowledgement

Type of funding source: None

Epicardial adipose tissue: the genetics behind an emerging cardiovascular marker

Background

Increasing evidence points epicardial adipose tissue (EAT) as an emerging cardiovascular risk marker. Whether genetic polymorphisms are associated with a higher EAT burden is still unknow. Genetic risk score (GRS) is an emerging method that attempts to establish correlation between single nucleotide polymorphisms (SNPs) and clinical phenotypes.

Aim

Evaluate the role of genetic burden and its association to EAT.

Methods

996 patients (mean age 59±8, 78% male) were prospectively enrolled in a single center. EAT was measured on cardiac CT using a modified simplified method. Patients were divided into 2 groups (above vs. below the median EAT volume).

We studied different polymorphisms across the following gene-regulated pathways: oxidation, renin-angiotensin system, cellular, diabetes/obesity and dyslipidemia pathways. Genotyping was performed by TaqMan allelic discrimination assay. A multiplicative genetic risk score (mGRS) was constructed and represents the genetic burden of the different polymorphisms studied. To evaluate the relation between genetics and EAT volume, we compared both groups by: global mGRS, gene cluster/axis mGRS and individual SNPs.

Results

Patients with above-median EAT volume were older, had higher body mass index (BMI) and higher prevalence of hypertension, diabetes and dyslipidemia (p<0.05). Patients with higher EAT volumes presented a higher global mean GRS (p<0.001), with the latter remaining an independent predictor for higher EAT volumes (OR 1.3, 95% CI 1.2–1.5), alongside age and BMI.

In the analysis by gene clusters, patients with more epicardial fat consistently presented a higher polymorphism burden (translated by a higher mGRS level) across numerous pathways: oxidation, renin-angiotensin system, cellular, diabetes/obesity and dyslipidemia. After adjusting for confounders and other univariate predictors of higher fat volume, the following have emerged as independently related to higher EAT volumes: mGRS comprising the genes of different clusters, age and BMI.

Amongst the 33 genes analyzed, only MTHFR677 polymorphisms (a gene with a critical role in regulating plasma homocysteine levels) emerged as significantly related to higher EAT volumes in our population (OR 1.4, 95% CI: 1.100–1.684, p=0.005).

Conclusion

Patients with a higher polymorphism burden in genes involved in the oxidation, renin-angiotensin, cellular, diabetes/obesity and dyslipidemia pathways present higher levels of epicardial fat. This potential association seems to be independent from the expected association between epicardial fat and cardiovascular risk factors. To our knowledge, this is the first time such genetic profiling has been done, casting further insight into this complex matter.

Funding Acknowledgement

Type of funding source: None

Has the time come to integrate genetic risk scores into clinical practice?

Background

The risk for Coronary Artery Disease (CAD) is determined by both genetic and environmental factors, as well as by the interaction between them. It is estimated that genetic factors could account for 40% to 55% of the existing variability among the population (inheritability). Therefore, some authors have advised that it is time we integrated genetic risk scores into clinical practice.

Aim

The aim of this study was to evaluate the magnitude of the association between an additive genetic risk score (aGRS) and CAD based on the cumulative number of risk alleles in these variants, and to estimate whether their use is valuable in clinical practice.

Methods

A case-control study was performed in a Portuguese population. We enrolled 3120 participants, of whom 1687 were CAD patients and 1433 were normal controls. Controls were paired to cases with respect to gender and age. 33 genetic variants known to be associated with CAD were selected, and an aGRS was calculated for each individual. The aGRS was further subdivided into deciles groups, in order to estimate the CAD risk in each decile, defined by the number of risk alleles. The magnitude of the risk (odds ratio) was calculated for each group by multiple logistic regression using the 5th decile as the reference group (median). In order to evaluate the ability of the aGRS to discriminate susceptibility to CAD, two genetic models were performed, the first with traditional risk factors (TRF) and second with TRF plus aGRS. The AUC of the two ROC curves was calculated.

Results

A higher prevalence of cases over controls became apparent from the 6th decile of the aGRS, reflecting the higher number of risk alleles present (see figure). The difference in CAD risk was only significant from the 6th decile, increasing gradually until the 10th decile. The odds ratio (OR) for the last decile related to 5th decile (median) was 1.87 (95% CI:1.36–2.56; p<0.0001). The first model yielded an AUC=0.738 (95% CI:0.720–0.755) and the second model was slightly more discriminative for CAD risk (AUC=0.748; 95% CI:0.730–0.765). The DeLong test was significant (p=0.0002).

Conclusion

Adding an aGRS to the non-genetic risk factors resulted in a modest improvement in the ability to discriminate the risk of CAD. Such improvement, even if statistically significant, does not appear to be of real value in clinical practice yet. We anticipate that with the development of further knowledge about different SNPs and their complex interactions, and with the inclusion of rare genetic variants, genetic risk scores will be better suited for use in a clinical setting.

Funding Acknowledgement

Type of funding source: None

KAsH score beyond myocardial infarction: a new risk stratification tool for myocardial injury?

Introduction

Our group has recently validated and published a new score - KAsH score. KAsH consists of a continuous, multiplicative score based on 4 simple clinical variables available at first medical contact, proven to be a robust predictor of in-hospital mortality and all-cause mortality at 1 year follow-up in patients with myocardial infarction, putting it next to other well established risk scores. However, the role of KAsH in patients with myocardial injury (Mi), a largely uncharacterized group in the literature, remains unknown.

Purpose

We aim to assess the predictive power of KAsH in patients with myocardial injury (Mi), regarding in-hospital mortality and at 1 year follow-up.

Methods

Prospective registry of 250 patients admitted consecutively through the emergency department from January 2018 onward, with higher than P99th high-sensitive troponin assay. The kit used was Roche's Elecsys hsSTAT, and the P99th appointed by the manufacturer was 14 ng/L. All patients with chronic kidney disease ClCr<15ml/min and myocardial infarction, were excluded from the analysis. We were left with 236 patients diagnosed with Mi.

KAsH = (Killip Kimbal × Age × Heart Rate) / Systolic BP

We used a simplified Killip classification: without heart failure (1 point), with heart failure (2 points) and in shock (3 points). We assessed the score's association to mortality and its predictive value through ROC curves and their respective area under the curve (AUC).

Results

Both Killip and KAsH had a significant and positive association with in-hospital mortality (KK: p=0.02; KAsH: p<0.001) and cumulative mortality (KK: p=0.002; KAsH: p=0.008). In multivariate analysis, KAsH score as a continuous variable proved to be an independent predictor of in-hospital mortality (p=0.004) but not KK classification (p=0.96). We then categorized KAsH in its 4 different strata (1–4). Multivariate analysis indentified categorized KAsH as the only significant predictor of in-hospital mortality (OR 4.1, CI 2.1–8.1, p<0.001), with the predictive power of KAsH being even mildly superior (AUCs: KAsHcont 0.767, KAsHcat 0.743, KK 0.685). However, the same trend was not observed during follow-up, as none of them were significant predictors of mortality (all p>0.1).

Conclusions

KAsH seems to maintain its in-hospital predictive value even in patients with Mi. To our knowledge, this is the first study that tries to apply risk scores and stratification tools to such a heterogeneous group of patients. By comprising hemodynamic variables, KAsH may actually be a better risk stratification tool than just the severity of heart failure on admission. However, unlike previously proven in myocardial infarction (MI), KAsH score and its hemodynamic variables do not seem to justify the high mortality on the long run behind these patients. More studies will be needed to address the complex causes behind long-term mortality of Mi patients.

KASH table graph

Funding Acknowledgement

Type of funding source: None

Dealing with COVID-19 Barriers to Care: Digital Platform to support and monitor chronic patients

The Covid-19 pandemic is causing a set of disruptions, especially at the delivery of healthcare services. The pandemic has shown subsidiary health effects like, chronic care, mental health, surgeries, and deadlock in the other diseases’ treatment.

A digital health platform (PrimaryCare@COVID-19) was implemented to be used by primary care physicians, and nurses, to address both chronic care and COVID-19-related patients at home or traveling. It has been piloted in three Health centers at Lisbon Health Region and it could be scale-up to all primary care in Portugal in the near future. This project was funded by the National Science Foundation to address Primary Care consultations and chronic care services shortage. The clinical primary care processes were studied and a digital workflow was defined using Design Science Research Methods.

This project‘s innovative digital platform is already covering several dozens of chronic patients while at home and addressing the communication with COVID-19-related patients.

The health professionals (physicians and nurses) are able to safely and rigorously communicate with chronic patients and prescribe the required medicines, as well as inform them about the COVID-19 measures. In case of patients either on quarantine or in isolation this platform also allows for the monitoring and health evaluation.

This eHealth Digital Platform is an opportunity to manage chronic care during epidemics, allowing to follow-up patients, preventing them from becoming uncontrolled and having to go to emergency. The digital platform uses smart algorithms to deal with both medication interactions and vital signs alerts while monitoring, chronic and COVID-19 infected, patients, allowing health professionals to remotely consult these patients at home/travelers (by default with phone, but also via digital videoconferencing) and manage all health information about patients in a secure way (and following GDPR rules).

Investigation of hospital deaths declared as garbage codes in Belo Horizonte, Brazil, in 2017

Background

Improving the quality of causes of death (COD) is vital for defining adequate public policies. In Brazil, one third of deaths are reported as having a cause that is not useful for public health analysis of cause-of-death data, the so-called garbage codes (GC). The investigation of these deaths is one of the strategies that could improve the quality of mortality statistics in the country.

Methods

For all GCs identified in 2017 in the routine mortality information system from Belo Horizonte city, Brazil, municipal health professionals collected information about the final disease obtained from hospital records or autopsies in a standardized form. A trained physician analyzed this information and filled in a new death certificate (DC). The DC that originally showed a GC as an underlying COD was categorized into GC reclassified when the garbage cause changed to a specific cause after investigation. Causes of death derived from the reclassified GCs were analyzed to assess the impact on the mortality profile before and after the investigation.

Results

In Belo Horizonte, 1,395 deaths out of 3,038 registered as garbage codes were investigated, with a 35% reduction in deaths due to these causes. There was an increase in deaths from ischemic heart diseases, Alzheimer's disease, chronic obstructive pulmonary disease, hemorrhagic and ischemic stroke, and violence.

Conclusions

The investigation of deaths from garbage codes modified the mortality profile and improved its quality, providing direction for more assertive public health policies. Strategies for training physicians to report specific causes of death is another strategy that could improve the quality of mortality data.

Key messages

This study proved to be a feasible strategy in improving the quality of causes of death in mortality statistics and should be incorporated into the surveillance routine activities in Brazil. The evaluation of the GC investigation is an important instrument in helping management of health interventions aiming at better quality of information and more qualified health services.

HIV/AIDS: a 30 year history at the Northern Region of Portugal

Since 1981, when the first cases of human immunodeficiency virus (HIV) infection were diagnosed, the need to monitor what emerged shortly afterwards as an epidemic arose. Portugal was not immune, and over the years different measures have been taken to control the national epidemic. The goal of this research is to contribute to the previous knowledge about the trend of HIV infection at the regional level that allows adequate planning focused on controlling the epidemic. This is an observational, descriptive and cross-sectional study, whose data were anonymized at the source, based on the analysis of cases notified by doctors. The data were analyzed using the software Microsoft® Excel version 16.16.4 and IBM® SPSS® Statistics version 25. To check if there is a proven statistical relationship between the variables, the Chi-Square independence test (X2) was used. The results obtained revealed 14512 accumulated cases, in the different stages of infection, 76.7% of which are male, with a higher incidence between 25-29 years of age. Type HIV-1 covers 97.1% of all cases. From 2013 to 2017 it was observed that 74.2% lived in urban areas. Late diagnosis was found in rural areas, particularly in heterosexual transmission. It was concluded that there are several similarities between data at regional and national levels, such as the occurrence of late diagnosis in the category of heterosexual transmission. Regarding legislative changes, no conclusion can be inferred, although hypotheses were raised that can should be discussed in future studies.

Key messages

Late diagnosis in rural areas. Late diagnosis in heterosexual transmission.

AB0015 IDENTIFICATION OF KEY GENES TO SUPPORT SYSTEMIC LUPUS ERYTHEMATOSUS, RHEUMATOID ARTHRITIS AND ANKYLOSING SPONDYLITIS DIAGNOSIS BY TRANSCRIPTOMIC APPROACH

Background:

Early diagnosis of inflammatory rheumatic diseases (IRD), as Systemic Lupus Erythematosus (SLE), Rheumatoid Arthritis (RA) and axial Spondyloarthritis (axSpA) represents in our days a major clinical challenge. Increasing evidence has determined that early diagnosis, prompt treatment initiation and early achievement of remission are the best predictors of long-term clinical, functional and radiographic outcomes. Therefore, identification of sensitive biomarkers to support an early diagnosis to enable early therapy is of utmost importance [1,2].

Objectives:

This study aims to identify novel genes that may improve the current clinical diagnosis approach for early SLE, RA and axSpA.

Methods:

A cross-sectional study was conducted on 44 participants, 12 with axSpA (according to ASAS criteria), 11 with RA (according to ACR/EULAR criteria for RA), 10 with SLE (according to ACR classification criteria for SLE) and 11 Healthy Controls (HC), gender and age matched. Patients with co-occurrence of other IRD or having received biological therapies were excluded. Peripheral blood samples were collected into PAXgene tubes and stored in -80°C. mRNA profiling by RNA-seq was performed. Unpaired t-tests with multivariate permutation correction were applied to identify differentially expressed genes (DEGs) between patients and HC for each disease and within diseases. Enrichment analysis, Gene ontology (GO) and Kyoto Enrichment of Genes and Genomes (KEGG) analysis were also performed. DEGs that allow to distinguish each disease from HC and between diseases. The top DEGs (axSpA n=2, RA n=2, SLE n=3) identified were confirmed by quantitative RT-PCR.

Results:

For axSpA, genes involved in negative regulation of cytokines by JAK/STAT pathway and in osteoblast differentiation through STAT3 pathway, were confirmed. In SLE, genes involved in trap for immune complexes in peripheral blood and involved in nucleosome regulation, were also confirmed. Regarding RA, no genes were confirmed.

Conclusion:

Our work provides new insights into IRD pathogenesis, and discloses new biomarkers, which may be useful as either predictive biomarkers for diagnosis or therapeutic targets to improve IRD approach.Further validation are needed in different cohorts.

References:

[1]Monti, S. et al. (2015) ‘Rheumatoid arthritis treatment: The earlier the better to prevent joint damage’, RMD Open, 1(Suppl 1), pp. 1–5. doi: 10.1136/rmdopen-2015-000057.

[2]Oglesby, A. et al. (2014) ‘Impact of early versus late systemic lupus erythematosus diagnosis on clinical and economic outcomes.’, Applied health economics and health policy, 12(2), pp. 179–90. doi: 10.1007/s40258-014-0085-x.

Acknowledgments:

To all patients and healthy controls who participated in the study

Disclosure of Interests:

Atlas Mashayekhi Sardoo: None declared, Paul Leo: None declared, Mariana Santos: None declared, Tiago Costa: None declared, Sergio Fernandes Almeida: None declared, Sara Maia: None declared, Vladimir Benes: None declared, Mattew Brown Speakers bureau: MSD, Pfizer, Novartis, Jaime Branco Speakers bureau: Vitoria, Fernando Pimentel dos Santos Speakers bureau: Novartis, Pfizer, Biogen, Vitoria,

Associations of socioeconomic and health related factors with fall risk on community dwelling older adults from Alentejo

Introduction With the world, population ageing falls become a problem. Portugal follows this tendency, particularly in Alentejo. Ecological models evidence that biological, behaviour and socioeconomic factors explain falls. However, the role of socioeconomic and health-related factors on the risk of falls is not well known.

Objectives To analyse the association of socioeconomic and health-related factors with fall risk on community-dwelling older adults from Alentejo.

Methodology This observational study involved 384 community-dwelling older adults (73.6 ± 6.0 years), the minimal sample size calculated by Open Epi Online program, of whom 40.6% fell at least once in the previous year. Sociodemographic characteristics (age, gender, marital status, schooling, retirement age, living alone and yield) and health-related factors (number of health conditions, cognitive state, fat mass %, physical activity, and depression index) were accessed.

Results Univariate Regression Logistic showed that gender was the only sociodemographic characteristics which significantly explains falls occurrence, in which to be woman increases the likelihood of falling on 96% (OR: 1.96, p < 0.05). As regard health-related factors, results show that for each additional health condition the likelihood of falling increased 17%, for each additional 1% on fat mass this likelihood increased 4%, and for each additional point on depression index this likelihood increased 15.1% (OR: 1.04 to 1.17, p < 0.05).

Conclusion Health-related factors showed to be more preponderant in the occurrence of falls compared to socio-demographic characteristics. Women with more chronic conditions increased fat mass, and high depression index will be the most susceptible to falls. Thus, preventive measures should play particular attention to these persons.