Acute Coronary Syndrome - reinfarction predictors and outcomes

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

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

Introduction

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

Objective

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

Methods

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

Results

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

Conclusion

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

Physical activity and its clinical correlates in chronic thromboembolic pulmonary hypertension

Funding Acknowledgements

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

Background

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

Purpose

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

Methods

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

Results

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

Conclusions

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

Acute heart failure: is ACTION-ICU useful?

Funding Acknowledgements

Type of funding sources: None.

Introduction

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

Objective

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

Methods

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

Results

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

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

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

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

Conclusion

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

Acute heart failure: predicting early in-hospital outcomes

Funding Acknowledgements

Type of funding sources: None.

Introduction

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

Objective

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

Methods

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

Results

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

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

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

Conclusion

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

Acute Coronary Syndrome follow up: Portuguese experience

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

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

Objective

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

Methods

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

Results

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

Stroke in acute coronary syndrome: predictors and prognosis

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

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

Introduction

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

Objective

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

Methods

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

Results

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

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

Conclusion

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

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

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

Portuguese Registry of Acute Coronary Syndromes

Background

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

Objective

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

Methods

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

Results

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

Conclusions

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

Heart failure in Acute Coronary Syndrome: predictors and prognosis

Funding Acknowledgements

Type of funding sources: None.

OnBehalf

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

Introduction

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

Objective

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

Methods

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

Results

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

Conclusion

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

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

AIM

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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

Funding Acknowledgements

Type of funding sources: None.

Background

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

Methods

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

Results

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

Conclusion

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

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

Predictors of survival in patients with precapillary pulmonary hypertension

Funding Acknowledgements

Type of funding sources: None.

Introduction

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

Methods

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

Results

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

Conclusion

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

Air quality in cities of the extreme south of Brazil

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

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

Background

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

Methods

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

Results

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

Conclusion

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

Distribution of Peak CK and Peak TnT

Funding Acknowledgement

Type of funding source: None

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

Background

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

Purpose

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

Methods and results

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

Conclusion

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

Funding Acknowledgement

Type of funding source: None

Iatrogenic transthyretin cardiac amyloidosis after sequential liver transplantation

Introduction

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

Methods

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

Results

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

Conclusions

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

Funding Acknowledgement

Type of funding source: None

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

Background

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

Purpose

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

Methods

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

Results

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

Conclusion

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

Figure 1

Funding Acknowledgement

Type of funding source: None

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

Background

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

Aim

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

Methods

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

Results

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

Conclusion

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

Figure 1

Funding Acknowledgement

Type of funding source: None

Epicardial adipose tissue: the genetics behind an emerging cardiovascular marker

Background

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

Aim

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

Methods

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

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

Results

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

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

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

Conclusion

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

Funding Acknowledgement

Type of funding source: None

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

Background

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

Aim

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

Methods

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

Results

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

Conclusion

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

Funding Acknowledgement

Type of funding source: None

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

Introduction

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

Purpose

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

Methods

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

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

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

Results

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

Conclusions

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

KASH table graph

Funding Acknowledgement

Type of funding source: None