scholarly journals Stroke in acute coronary syndrome: predictors and prognosis

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Santos ◽  
H Santos ◽  
I Almeida ◽  
H Miranda ◽  
C Sa ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Left Ventricle ◽  
Past History ◽  
Female Gender ◽  
Arterial Disease ◽  
Study Data ◽  
Coronary Syndrome ◽  
Funding Sources ◽  
Kaplan Meier ◽  
St Elevation

Abstract 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.

Acute Coronary Syndrome - reinfarction predictors and outcomes

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Santos ◽  
H Santos ◽  
I Almeida ◽  
H Miranda ◽  
C Sa ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Left Ventricle ◽  
Past History ◽  
Arterial Disease ◽  
Study Data ◽  
Multivessel Disease ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Coronary Syndrome ◽  
St Elevation

Abstract 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.

scholarly journals Cardiac arrest in Acute Coronary Syndrome: predictors and prognosis

EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
M Santos ◽  
H Santos ◽  
I Almeida ◽  
H Miranda ◽  
C Sa ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Logistic Regression ◽  
Cardiac Arrest ◽  
Left Ventricle ◽  
Artery Bypass ◽  
Study Data ◽  
St Elevation Myocardial Infarction ◽  
Common Trunk ◽  
Coronary Syndrome ◽  
St Elevation

Abstract 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.

Heart failure in Acute Coronary Syndrome: predictors and prognosis

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Santos ◽  
H Santos ◽  
I Almeida ◽  
H Miranda ◽  
C Sa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Artery Bypass ◽  
Study Data ◽  
Multivessel Disease ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Coronary Syndrome ◽  
Funding Sources ◽  
Previous Stroke ◽  
St Elevation

Abstract 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.

scholarly journals Acute heart failure: does etiology matter?

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Santos ◽  
H Santos ◽  
I Almeida ◽  
S Paula ◽  
H Miranda ◽  
...  
Keyword(s):  
Heart Failure ◽  
Left Ventricle ◽  
Acute Heart Failure ◽  
Previous History ◽  
Real Life ◽  
Study Data ◽  
Post Discharge ◽  
Funding Sources ◽  
Kaplan Meier ◽  
Revascularization Procedures

Abstract 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.

scholarly journals Peripheral Arterial Disease in Patients Presenting with Acute Coronary Syndrome in Six Middle Eastern Countries

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Hassan A. Al-Thani ◽  
Ayman El-Menyar ◽  
Mohammad Zubaid ◽  
Wafa A. Rashed ◽  
Mustafa Ridha ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Peripheral Arterial Disease ◽  
Middle Eastern ◽  
Arterial Disease ◽  
High Risk Group ◽  
Hospital Death ◽  
Gulf Region ◽  
Coronary Syndrome ◽  
St Elevation ◽  
Peripheral Arterial

To describe prevalence and impact of peripheral arterial disease (PAD) in patients with acute coronary syndrome (ACS), data were collected over 5 months from 6 Middle Eastern countries. Patients were divided into 2 groups (with and without PAD). Out of 6705 consecutive ACS patients, PAD was reported in 177 patients. In comparison to non-PAD, PAD patients were older and more likely to have cardiovascular risk factors. They were more likely to have high Killip class, high GRACE risk score, and non-ST elevation ACS (NSTEACS) at presentation. Thrombolytics, antiplatelet use, and coronary intervention were comparable in both groups. When presented with ST-elevation myocardial infarction (STEMI), patients with PAD had worse outcomes, while in NSTEACS; PAD was associated with higher rate of heart failure in comparison to non-PAD patients. In diabetics, PAD was associated with 2-fold increase in mortality when compared to non-PAD (P=0.028). After adjustment, PAD was associated with high mortality in STEMI (adjusted OR 2.6; 95% CI 1.23–5.65,P=0.01). Prevalence of PAD in ACS in the Gulf region is low. Patients with PAD and ACS constitute a high risk group and require more attention. PAD in patients with STEMI is an independent predictor of in-hospital death.

scholarly journals Could specific EKG markers identify a pharmacologically induced type 1 Brugada pattern? Insights from a large, single-centre cohort

EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
L Barbonaglia ◽  
F De Vecchi ◽  
C Devecchi ◽  
M Matta ◽  
R Peraldo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Large Population ◽  
Multivariate Logistic Regression Analysis ◽  
Female Gender ◽  
Funding Sources ◽  
Pharmacological Test ◽  
History Of ◽  
Brugada Pattern

Abstract Funding Acknowledgements Type of funding sources: None. Background. Pharmacological (Ajmaline) induction of a type 1 Brugada pattern is currently considered mandatory for the diagnosis of Brugada syndrome. However, performing the test requires time and healthcare resources. Some EKG markers have been proposed as predictors of positive result at Ajmaline test. Aim. To evaluate in a large population the predictive value of multiple EKG markers for Ajmaline test results. Methods. We retrospectively analysed consecutive patients (pts) referred to our Centre to perform Ajmaline test. All pts had type 2 Brugada pattern detected at a conventional EKG or were relatives of pts with positive Ajmaline test, with or without type 2 Brugada pattern at EKG. All pts performed the Ajmaline pharmacological test (1 mg/Kg iv) with EKG "superior" right precordial unipolar derivations monitoring. To determine whether clinical parameters (age, gender, cardiomyopathy, history of arrhythmias, symptoms, familiarity) and EKG markers (heart rate (HR), PR duration, R1V1 and SV6 duration and amplitude, QRSV1/QRSV6 duration, V1 and V2 ST amplitude (coved or saddle back pattern) were independently associated to positivity at Ajmaline test, a logistic regression model was applied. Results. From January 2010 to December 2019 we evaluated 442 consecutive pts: mean age 40.1 ± 14.5 years; 273 (65%) male; 352 (80%) pts were included because of type 2 Brugada pattern at EKG and 90 (20%) for familial screening. The Ajmaline test was positive in 150 (34%) pts. At multivariate logistic regression analysis adjusted for baseline confounders, age > 45 years (OR= 1.64, 95%CI: 1.03 to 2.54; p = 0.0385), female gender (OR = 1.79, 95%CI: 1.12 to 2.85; p = 0.0141), HR > 60 bpm (OR = 2.44, 95%CI: 1.48 to 4.03; p = 0.0005), QRSV1/QRSV6 duration (msec) >1 (OR = 5.34, 95%CI: 3.28 to 8.69; p < 0.0001) and non isoelectric pattern (coved/saddle back) in V2 (OR = 1.93, 95%CI: 1.03 to 3.63, p = 0.0416) remained associated with a positive Ajmaline test. The percentage of pts with positive Ajmaline test increased according to the presence of significant EKG markers in their risk profile: 11.3% (8 out 71, absence of both QRSV1/QRSV6 duration (msec) >1 and V2 non isoelectric pattern), 24.3% (50 out 206, presence of only V2 non isoelectric pattern), 48.5% (16 out 33, presence of only QRSV1/QRSV6 duration (msec) >1), 57.6% (76 out 132, presence of both factors). Conclusions. In our large population: 1) we confirmed the positive predictive power of QRSV1/QRSV6 duration (msec) >1 and of a non isoelectric pattern (coved/saddle back) in V2 for a pharmacologically induced type 1 Brugada pattern; 2) we observed a non-negligible percentage of pts who would not be correctly diagnosed for type 1 Brugada pattern, if selected according to an EKG parameters-based prescreening.

scholarly journals Risk Factors and Trends for Incidence of Acute Coronary Syndrome after Hematopoietic Stem Cell Transplant - a 15-Year Experience with National Inpatient Sample

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4564-4564
Author(s):  
Jasdeep Singh Sidhu ◽  
Jeevanjot Kaur Virk ◽  
Shivani Handa ◽  
Amrendra Mandal ◽  
Sridevi Rajeeve
Keyword(s):  
Acute Coronary Syndrome ◽  
Logistic Regression ◽  
Demographic Factors ◽  
Cell Transplant ◽  
National Inpatient Sample ◽  
Hematopoietic Stem ◽  
Coronary Syndrome ◽  
Increased Risk ◽  
History Of ◽  
St Elevation

Background:Significant improvement has been noted in the outcome of patients with advanced hematologic malignancies with the advances in hematopoietic cell transplantation (HCT) techniques. However, it has been observed that patients receiving HCT have increased risk of cardiovascular disease (CVD) over time with increased risk of cardiovascular mortality. Materials and Methods:This was a retrospective observational analysis. We queried the National Inpatient Sample database from 1998 to 2012 for patients aged ≥18 years who had received HCTin the past and were admitted for non-ST-elevation acute coronary syndrome (NSTE-ACS) or ST-elevation myocardial infarction (STEMI). We performed univariate logistic regression followed by multivariate logistic regression analysis to study various demographic factors and comorbiditiesand temporal trends of ACS in these patients. Results:A total of 150,072 patients with prior history of HCT were identified, out of which 952 hospitalizations were for ACS.47.16% of these patients underwent Percutaneous CoronaryIntervention.Mean age for ACS patients was 56.98 years and 71.75% patients were male. The demographic factors found to significantly affect the incidence of ACS were increasing Age (OR 1.02, p=0.01) and Insurance(Medicare as reference)[Medicaid(OR 0.3, p=0.04), private(OR 1.66, p=0.01). Charlson Comorbidity Index (CCI) had significant correlation with incidence of ACS (CCI=1 as reference) [CCI=2(OR 0.12, p=0.00), CCI³3(OR 0.60, p=0.01)]. The Medical comorbidities found to significantly affect the outcome were Congestive Heart Failure (OR 1.53, p=0.04), COPD(OR 0.54, p=0.02), smoking(OR 2.96, p=0.00), underlying CAD (OR 39.65, p=0.00) and Pulmonary Hypertension (OR 4.01, p=0.00). A trend analysis for Incidence of ACS in patients with History of HCT showed overall decline in ACS incidence which was found to be statistically significant. (Trend p-Value 0.003). Conclusion:Our study identifiedvarious factors affecting incidence of ACS in HCT patients. We also discoveredan overall downward trend in incidence of ACSin HCT patients.Further studies need to be conducted to confirm these findings. Disclosures Rajeeve: ASH-HONORS Grant: Research Funding.

scholarly journals A study to assess frequency of peripheral arterial disease in patients presenting with acute coronary syndrome

2017 ◽  
Vol 4 (5) ◽  
pp. 1276
Author(s):  
Somnath Mukherjee ◽  
Prashant Kumar ◽  
D. P. Sinha
Keyword(s):  
Acute Coronary Syndrome ◽  
Peripheral Arterial Disease ◽  
Past History ◽  
Systolic Dysfunction ◽  
Ankle Brachial Index ◽  
Arterial Disease ◽  
Observation Study ◽  
Cross Sectional ◽  
Coronary Syndrome ◽  
Peripheral Arterial

Background: To determine the frequency of peripheral arterial disease (PAD) in patients presenting with acute coronary syndrome (ACS) and association of PAD with different risk factors of coronary artery disease (CAD) and to look for in hospital outcome of ACS patients with or without PAD.Methods: This cross-sectional observation study was undertaken in the department of cardiology, IPGME&R Hospital, Kolkata from June 2015 to August 2016 to recruit 199 consecutive patients admitted with ACS and were evaluated with detailed clinical history, physical examination, ABI (Ankle Brachial Index) measurement, echocardiography and appropriate blood investigations.Results: Among 199 total ACS patients, STEMI was the predominant mode of presentation (71.86%) and majorities were male. PAD was seen in 26 patients and mean age was 56.68±8.84 years. Factors independently related with PAD in acute coronary syndromes are hypertension (OR- 1.49; 95% CI: 0.615-3.232), diabetes (OR- 2.55;95% CI : 0.9762-6.6665), smoking (OR-2.55; 95% CI: 1.055-6.19), past history of CVA (OR-11.15;95% CI: 1.77-70.32), LV systolic dysfunction (OR-1.388; 95% CI:0.607-3.1742). 2 and 13 patients died within 7 days of admission among 26 ACS-PAD group (7.69%) and 173 ACS-non-PAD group (7.5%) respectively and most of them had STEMI.Conclusions: Significant numbers of ACS patients are having PAD and older age, male sex, diabetes, hypertension, smoking and LV systolic dysfunction were found to be independent predictors for PAD in ACS patients. Early in hospital mortality was seem to be dependent on clinical presentation, not on presence or absence of PAD.

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

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Santos ◽  
I Almeida ◽  
H Santos ◽  
H Miranda ◽  
C Sa ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
De Novo ◽  
Real Life ◽  
Study Data ◽  
St Elevation Myocardial Infarction ◽  
Lv Function ◽  
Funding Sources ◽  
Lv Dysfunction ◽  
St Elevation ◽  
Artery Disease

Abstract 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.

Premature acute coronary syndrome patients do not have a better prognosis for their age than mature ACS patients by propensity score match analysis

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
H Mizutani ◽  
T Kurita ◽  
A Takasaki ◽  
T Nakata ◽  
K Konishi ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Propensity Score ◽  
Propensity Score Match ◽  
Past History ◽  
Cardiovascular Death ◽  
Coronary Syndrome ◽  
Kaplan Meier ◽  
History Of ◽  
Cv Disease

Abstract Background Acute coronary syndrome (ACS) is the most important cardiovascular (CV) disease with a prevalence that increases with age. There is no data which compared the prognosis with premature ACS and mature ACS using propensity score matched analysis Purpose The purpose of this study was to compare the prognosis of premature ACS patients and mature ACS patients using propensity score matched analysis. Methods We analyzed of 4249 ACS patients (69.1±12.6, male 77%) including 773 premature ACS patients (50.1±6.8, male 78%) and 3476 mature ACS (73.3±9.3, male 77%) from January 2013 to December 2018, using data from Mie ACS Registry, a prospective and multicenter registry in Japan. Premature onset of ACS was defined as younger than 65 years old in male and 55 years old in female. Primary end point was as major adverse cardiac event (MACE) including cardiovascular death, non-fetal myocardial infarction, heart failure requiring admission and unstable angina. Results During median follow duration of 742 days ranging from409 to 828 days, 502 MACE were occurred. Premature ACS patients were younger and showed higher body mass index compared to mature ACS patients (50.1±6.8 vs 73.3±9.3 y.o., 25.5 vs 23.0, P<0.001, respectively). However, premature ACS patients were more likely to be associated with ST elevation myocardial infarction, dyslipidemia, family history of coronary artery disease (CAD) and lower Killip classification compared to mature ACS patients (P<0.01, respectively). Common CAD risk factors such as hypertension, diabetes mellitus and past history of CAD were less associated with premature ACS patients compared to mature ACS patients (P<0.01, respectively). Unadjusted Kaplan-Meier survival curves demonstrated the favorable prognosis in premature ACS patients compared to mature ACS patients with hazard ratio of 0.57 (95% CI 0.45–0.71, P<0.001, see Figure 1A). We compared a 1:1 propensity score-matched cohort of 1208 patients with or without premature onset of ACS adjusting the several factors mentioned above (n=604, respectively). Age could not be introduced as a factor of propensity score match when comparing premature and mature ACS patients. After propensity score-match, premature ACS patients is about 18 years younger than mature ACS patients (50.7±6.5 vs 68.5±8.2 y.o., P<0.001). The average age of premature ACS was younger than that of mature ACS, but MACE by Kaplan-Meier survival analysis for premature ACS patients was equivalent to mature ACS patients (P=0.77, see Figure 1B). Conclusion Premature ACS patients are required very careful management because they might have factors with unfavorable prognosis, such as lifestyle habit and genetics, that may be beyond age. Figure 1 Funding Acknowledgement Type of funding source: None

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