Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: an Updated Systematic Review

There has been growing utilisation of multiparametric magnetic resonance imaging (MPMRI) as a non-invasive tool to diagnose and localise clinically significant prostate cancer (CSPCa). This updated systematic review examines the use of MPMRI in patients with an elevated risk of CSPCa who have had a prior negative transrectal ultrasound systematic biopsy (TRUS-SB) and who were biopsy naïve. MEDLINE, EMBASE and the Cochrane Database of Systematic Reviews were searched for existing systematic reviews published up to September 2020. The literature search of the electronic databases combined disease-specific terms (prostate cancer, prostate carcinoma, etc.) and treatment-specific terms (magnetic resonance, etc.). Studies were included if they were randomised controlled trials (RCTs) comparing MPMRI to template transperineal mapping biopsy (TPMB) or to TRUS-SB. Thirty-six RCTs were eligible. For biopsy-naïve men, accuracy of diagnosis of CSPCa showed sensitivities from 87 to 96% and specificities ranging from 29 to 45%. Meta-analyses for CSPCa showed increased detection favouring MPMRI-targeted biopsy over TRUS-SB by 3% (95% confidence interval 0-7%, P = 0.03) and decreased detection of clinically insignificant prostate cancer (CISPCa) favouring MPMRI by 8% (95% confidence interval -11 to 5%, P < 0.00001). Accuracy of MPMRI for men with prior negative biopsy showed sensitivities of 78-100% and specificities of 30-100%. Meta-analyses comparing MPMRI to TRUS-SB showed increased detection of 5% (95% confidence interval 3-7%, P < 0.0001) with a reduction of CISPCa detection of 7% (95% confidence interval 4-9%, P < 0.00001). The growing acceptance of MPMRI utilisation internationally and the recent publication of several RCTs regarding MPMRI in reducing CISPCa detection rates, particularly in biopsy-naïve men, without loss of sensitivity for CSPCa necessitates the synthesis of updated evidence examining MPMRI in the diagnosis of CSPCa.

Characterizing Surgical and Radiotherapy Outcomes in Non-metastatic High-Risk Prostate Cancer: A Systematic Review and Meta-Analysis

Background Identifying the optimal management of high-risk non-metastatic prostate cancer (PCa) is an important public health concern, given the large burden of this disease. We performed a meta-analysis of studies comparing PCa-specific mortality (CSM) among men diagnosed with high-risk non-metastatic PCa who were treated with primary radiotherapy (RT) and radical prostatectomy (RP). Methods Medline and Embase were searched for articles between January 1, 2005, and February 11, 2020. After title and abstract screening, two authors independently reviewed full-text articles for inclusion. Data were abstracted, and a modified version of the Newcastle-Ottawa Scale, involving a comprehensive list of confounding variables, was used to assess the risk of bias. Results Fifteen studies involving 131,392 patients were included. No difference in adjusted CSM in RT relative to RP was shown (hazard ratio, 1.02 [95% confidence interval: 0.84, 1.25]). Increased CSM was found in a subgroup analysis comparing external beam radiation therapy (EBRT) with RP (1.35 [1.10, 1.68]), whereas EBRT combined with brachytherapy (BT) versus RP showed lower CSM (0.68 [0.48, 0.95]). All studies demonstrated a high risk of bias as none fully adjusted for all confounding variables. Conclusion We found no difference in CSM between men diagnosed with non-metastatic high-risk PCa and treated with RP or RT; however, this is likely explained by increased CSM in men treated with EBRT and decreased CSM in men treated with EBRT + BT studies relative to RP. High risk of bias in all studies identifies the need for better data collection and confounding control in the PCa research.

Propensity score matching versus coarsened exact matching in observational comparative effectiveness research

Aim & methods: We compared propensity score matching (PSM) and coarsened exact matching (CEM) in balancing baseline characteristics between treatment groups using observational data obtained from a pan-Canadian prostate cancer radiotherapy database. Changes in effect estimates were evaluated as a function of improvements in balance, using results from randomized clinical trials to guide interpretation. Results: CEM and PSM improved balance between groups in both comparisons, while retaining the majority of original data. Improvements in balance were associated with effect estimates closer to those obtained in randomized clinical trials. Conclusion: CEM and PSM led to substantial improvements in balance between comparison groups, while retaining a considerable proportion of original data. This could lead to improved accuracy in effect estimates obtained using observational data in a variety of clinical situations.

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 &lt; 0.001, confidence interval (CI) 1.742-3.047), atrial fibrillation (OR 2.078, p &lt; 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 &lt; 0.001, CI 11.429-20.843) and hospitalization death (OR 6.472, p &lt; 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) &gt;50% (16.9 vs 60.7%, p &lt; 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 &lt; 0.001), Killip-Kimball class &gt; 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 &lt; 0.001), cardiogenic shock complication (42.3 vs 24.7%, p &lt; 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 &lt; 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 &lt; 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 &lt; 0.001) and ST-segment elevation myocardial infarction (STEMI) location. Group B was elderly (67 ± 14 vs 70 ± 14, p &lt; 0.001), was admitted directly to the cat lab (10.6 vs 20.4%, p &lt; 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 &lt; 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 &lt; 0.001), dyspnea (29 vs 18.1%, p &lt; 0.001), syncope (1.3 vs 6.6%, p &lt; 0.001), cardiac arrest (0.4 vs 4.4%, p &lt; 0.001), Killip-Kimball classification &gt; I (14.8 vs 40.5%, p &lt; 0.001) and atrial fibrillation at admission (AF) (7.1 vs 15.3%, p &lt; 0.001). Ivabradine (3.7 vs 7.6%, p &lt; 0.001), aldosterone receptor antagonists (10.2 vs 24%, p &lt; 0.001), diuretic (28 vs 57.2%, p &lt; 0.001), amiodarone (5.6 vs 53.5%, p &lt; 0.001), digoxin (1.4 vs 4.7%, p &lt; 0.001) were more prevalent used in the admission. Group B exhibited higher multivessel disease (MVD) (51.5 vs 61.5%, p &lt; 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)&lt;50% (38.7 vs 71%, p &lt; 0.001). On the other hand, the used of beta block (81.4 vs 62.3%, p &lt; 0.001), angiotensin-converting-enzyme inhibitor (85.5 vs 74.4%, p &lt; 0.001) and calcium channel blockers (10.1 vs 24%, p &lt; 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 &lt; 0.001), atrioventricular block (2.2 vs 17%, p &lt; 0.001), stroke (1.4 vs 4.9%, p &lt; 0.001) and death (3.4 vs 26.9%, p &lt; 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 &lt; 0.001, CI 2.00-3.73), AF (OR 2.30, p &lt; 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 &lt; 50%  (OR 3.44, p &lt; 0.001, CI 2.52-4.71) as predictors of VT in ACS.

Conclusions

COPD, STEMI, AF, MVD, CT and LVEF &lt; 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 &lt; 0.001) and smokers (21.3% vs 12.1%, p &lt; 0.001). LOAF had higher rates of diabetes mellitus (40.1% vs 30.2%, p &lt; 0.001), angina (30.8% vs 21.4%, p &lt; 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 &lt; 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 &lt; 0.001). EOAF had higher rates of heart failure (32.1% vs 17.2%, p &lt; 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 &lt; 0.001). Logistic regression confirmed that EOAF was predictive of in-hospital heart failure (p &lt; 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 &lt; 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 &lt; 0.00001, I2 = 89%) %) (reported in 5 studies), (all p &lt; 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 &lt; 0.001), had higher rates of smoking (35.8% vs 26.4%, p &lt; 0.001), and lower rates of hypertension (62.3% vs 70.9%, p &lt; 0.001), diabetes (25.7% vs 31.7%, p &lt; 0.001), dyslipidaemia (53.8% vs 61.7%, p &lt; 0.001), previous ACS (17.2% vs 20.6%, p = 0.037) and coronary artery bypass grafting (CABG) (1.9% vs 5.1%, p &lt; 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 &lt; 0.001). GA had higher rate of non-ST-elevation myocardial infarction (MI) (78.6% vs 41.4%, p &lt; 0.001), whether GB had higher rates of ST-elevation myocardial infarction (STEMI) (46.7% vs 18.1%, p &lt; 0.001), namely anterior (54.9% vs 46.9%, p &lt; 0.001). GB had lower blood pressure (BP) (122 ± 33 vs 139 ± 28, p &lt; 0.001), higher heart rate (HR) (83 ± 23 vs 77 ± 19, p &lt; 0.001), presented more frequently in Killip-Kimball class (KKC) ≥2 (37.6% vs 14.6%, p &lt; 0.001), in atrial fibrillation (AF) (13.9% vs 7.0%, p &lt; 0.001) and with right bundle block (10.6% vs 5.3%, p &lt; 0.001). GB had higher rates of common trunk culprit lesion (CL) (3.9% vs 1.6%, p &lt; 0.001), anterior descending coronary CL (49% vs 37%, p &lt; 0.001), 1 vessel lesion (53.4% vs 38.5%, p &lt; 0.001), lower CABG rates (4.3% vs 6.3%, p = 0.042), more left ventricle dysfunction (57.7% vs 38.7%, p &lt; 0.001) and needed more frequently mechanical ventilation (35.3% vs 1.1%, p &lt; 0.001), non-invasive ventilation (6.8% vs 1.6%, p &lt; 0.001) and provisory pacemaker (9.4% vs 1.3%, p &lt; 0.001). Logistic regression confirmed that older age (p &lt; 0.001, OR 1.89, CI 1.35-2.64), higher HR (p &lt; 0.029, OR 1.33, CI 1.03-1.71), lower BP (P &lt; 0.001, OR 2.67, CI 1.94-3.68), KKC ≥2 (p &lt; 0.001, OR 2.35, CI 1.84-3.00), AF at admission (p &lt; 0.001, OR 1.84, CI 1.34-2.51), STEMI (p &lt; 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 &lt; 0.001) and left ventricular ejection fraction (LVEF) &gt;50% (69.2 vs 45.1%, p &lt; 0.001). On the other hand, group B was elderly (67 ± 14 vs 75 ± 12, p &lt; 0.001), female (26.9 vs 34.0%, p &lt; 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 &lt; 0.001), Killip-Kimball classification &gt; I (12.8 vs 34.8%, p &lt; 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 &lt; 0.001, confidence interval (CI) 1.47-2.09), cardiogenic shock (OR 3.08, p &lt; 0.001, CI 2.37-4.01), sustained ventricular tachycardia (OR 2.29, p &lt; 0.001, CI 1.61-3.25) and intrahospital mortality (OR 1.99, p &lt; 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 &lt; 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 &lt; 0.001), coronary artery disease (18.9 vs 13.0, p &lt; 0.001), heart rate (78 ± 19 vs 65 ± 25, p &lt; 0.001), systolic blood pressure (139 ± 29 vs 119 ± 32, p &lt; 0.001) and left ventricular ejection fraction (LVEF) &gt;50% (60.1 vs 51.7%, p &lt; 0.001). On the other hand, group B was elderly (66 ± 13 vs 71 ± 13, p &lt; 0.001), female (27.4 vs 32.4%, p &lt; 0.001), previous stroke (6.9 vs 10.9%, p &lt; 0.001), neoplasia (4.9 vs 6.8%, p = 0.031), ST-segment elevation myocardial infarction (46.2 vs 75.4%, p &lt; 0.001), syncope as major symptom (1.3 vs 10.0%, p &lt; 0.001), Killip-Kimball class &gt; I (15.4 vs 31.6%, p &lt; 0.001), multivessel diasease (52.1 vs 61.4%, p &lt; 0.001), heart failure complication (15.5 vs 40.6%, p &lt; 0.001), cardiogenic shock complication (3.8 vs 24.6%, p &lt; 0.001), new-onset of atrial fibrillation (4.2 vs 14.1%, p &lt; 0.001), ACS mechanical complication (0.6 vs 3.2%, p &lt; 0.001), sustained ventricular tachycardia during ACS hospitalization (1.3 vs 10.0%, p &lt; 0.001), cardiac arrest (2.7 vs 13.3%, p &lt; 0.001), stroke complication (0.6 vs 1.9%, p &lt; 0.001) and hospitalization death (3.5 vs 19.0%, p &lt; 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 &lt;60 (OR 6.692, p &lt; 0.001, CI 5.180-8.644) and Killip-Kimball class &gt; I (OR 3.264, p &lt; 0.001, CI 2.446-5.356) were predictors of AVB in ACS patients.

Conclusions

Female gender, age ≥75 years old, heart rate &lt;60 and Killip-Kimball class &gt; 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 (&lt;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 &lt; 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 &lt; 0.001). LSVT G was treated more frequently with diuretics (80.0% vs 47.8%, p &lt; 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 (&lt;30%) left ventricle dysfunction (32.9% vs 15.4%, p &lt; 0.001) and need to non-invasive ventilation (23.1% vs 6.8%, p &lt; 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 &lt; 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 &lt; 0.001) and in-hospital stay (14 days vs 7 days, p &lt; 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.

Radiation oncologist consultations prior to prostatectomy in Ontario, Canada: Disparities and opportunities

e17052

Background: Men with localized prostate cancer have many options for initial definitive treatment. In 2015, Cancer Care Ontario Quality Based Procedures (QBP) recommended that men undergoing radical prostatectomy (RP) in Ontario be seen by a radiation oncologist (RO) or discussed at a multidisciplinary case conference (MCC) prior to surgery. An a-priori target rate of 76% was set by QBP, but to our knowledge, has not been reported upon to date. Our objective was to use population-based data to explore factors associated with not receiving RO consult/MCC prior to RP. Methods: Men with localized prostate cancer diagnosed and treated in Ontario, Canada with RP between 2007 and 2017 were identified using administrative data from the Institute for Clinical Evaluative Sciences. Physician billing data was utilized to identify patients who received RO consult/MCC prior to RP. Trends were evaluated using the Cochran-Armitage test. Multivariable logistic regression was used to identify patient and provider factors predictive of RO/MCC prior to RP. Results: 31,467 men with localized prostate cancer underwent RP between 2007 and 2017. Prior to RP, 29.3% of men were seen by RO, 1.0% underwent MCC, and 1.6% had both. RO consult/MCC prior to RP increased from 18.0% in 2007 to 47.8% in 2017 ( p<0.001). On multivariable analysis, the Odds Ratio (OR) of RO consult/MCC prior to RP between the lowest and highest geographic regions (LHINs) was 8.79 (95% CI 6.83–11.32, p<0.001). RO consult/MCC was less likely to occur for patients living further from the nearest cancer center (OR 0.74 per 50km, 95% CI 0.70–0.77, p<0.001) and more likely to occur for men residing in the highest versus lowest income quintile regions (OR 1.42, 95% CI 1.30–1.55, p<0.001). Men with NCCN Low (OR 1.31, 95% CI 1.16–1.47, p<0.001), High (OR 1.20, 95% CI 1.09–1.31, p<0.001) or Very High (OR 1.24, 95% CI 1.11–1.30, p<0.001) risk disease were more likely to receive RO consult/MCC compared to those with favourable-intermediate risk disease. Of the 128 urologists who performed at least 10 RP between 2016 and 2017, RO referral/MCC rate ranged from 0% to 100%, with 31 urologists (24.2%) having ≥76% of their patients seen prior to RP. To meet QBP targets in 2017, an additional 701 men would have needed RO consult/MCC. If all were seen by RO, approximately 2.4 additional full time equivalent RO positions would be needed. Conclusions: Despite increasing rates of utilization, a large proportion of men are not seen by RO or MCC prior to RP in Ontario, Canada. While the largest factors predicting RO consult/MCC discussion appear to be geographic and which urologist performs the RP, these factors are closely intertwined. In addition, these factors may be related to RO availability and radiation system capacity, which would need to be addressed to meet patient demand should QBP consultation rates be mandated to reduce disparities in pre-RP consultation practices.

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 &lt; 0.001), smokers (28.1 vs 18.5%, p &lt; 0.001) and dyslipidemia (62.8 vs 56.7%, p &lt; 0.001). On the other hand, group B presented more females (26.4 vs 35.0%, p &lt; 0.001), arterial hypertension (70.0 vs 74.9%, p = 0.002), peripheral arterial disease (5.4 vs 8.4%, p &lt; 0.001) and chronic kidney disease (6.7 vs 9.5%, p &lt; 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 &lt; 0.001), higher rates of prior revascularization procedures (68.9%, vs 19.1%, vs 7.2%, p &lt; 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 &lt; 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.

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 &lt; 0.001). On the other hand, group B presented more females (25.0 vs 35.7%, p &lt; 0.001), arterial hypertension (68.7 vs 78.2%, p &lt; 0.001), diabetes mellitus (28.5 vs 43.1%, p &lt; 0.001), dyslipidemia (62.2 vs 64.3%, p = 0.023), coronary artery disease (19.6 vs 25.6%, p &lt; 0.001), neoplasia (4.4 vs 7.0%, p &lt; 0.001), peripheral arterial disease (5.2 vs 15.8%, p &lt; 0.001) and chronic kidney disease (4.6 vs 10.0%, p &lt; 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 &lt; 0.001, confidence interval (CI) 1.22-1.54), chronic kidney disease (OR 1.59, p &lt; 0.001, CI 1.33-1.90) and peripheral arterial disease (OR 1.54, p &lt; 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 &lt; 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 &lt;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 &lt; 0.001), de novo AF (p &lt; 0.001) and occurrence of IH complications (p &lt; 0.001) were predictors of 1yM. Age (p = 0.010), male gender (p = 0.19), Hb (p = 0.031), de novo AF (p &lt; 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 &lt; 0.001) and occurrence of IH complications (p &lt; 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 &lt; 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 &lt; 0.001) non-invasive ventilation (5.4% vs 1.7%, p &lt; 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 &lt; 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.

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 &lt; 0.001), lower SBP (p = 0,035), presenting in KKC 4 (p &lt; 0.001, OR 8.13) and need of inotropes (p &lt; 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 &lt; 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 &lt; 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p &lt; 0.001, CI 0.971-0.988), higher urea (OR 1.01, p &lt; 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 &lt; 0.001), lower SBP (p = 0,035) and need of inotropes (p &lt; 0.001) were predictors of IHM in our population. As expected, patients presenting in KKC 4 had higher IHM (OR 8.13, p &lt; 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 &lt; 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 &lt; 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p &lt; 0.001, CI 0.971-0.988), higher urea (OR 1.01, p &lt; 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 &lt; 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 &lt; 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 &gt; 75 years old (odds ratio (OR) 2.557, p &lt; 0.001, confidence interval (CI) 1.727-3.785), heart rate &lt; 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 &gt;2mg/dL (OR 1.956, p = 0.023, CI 1.099-3.480), left ventricular ejection fraction &lt;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 &lt; 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 &lt;50% (OR 1.489, p = 0.003, CI 1.145-1.938), nitrate (OR 1.812, p &lt; 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 &lt; 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 &lt;50% (OR 1.456, p = 0.001, CI 1.166-1.819), nitrate (OR 1.478, p &lt; 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 &lt;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.