The Official Journal of EuroPCR and the European Association of Percutaneous Cardiovascular Interventions (EAPCI)

Acute coronary syndrome (ACS) in patients with COVID-19 is triggered by various mechanisms and can significantly affect the patient’s further treatment and prognosis. The study aimed to investigate the characteristics, major complications, and predictors of mortality in COVID-19 patients with ACS. All consecutive patients hospitalized from 5 July 2020 to 5 May 2021 for ACS with confirmed SARS-Co-2 were prospectively enrolled and tracked for mortality until 5 June 2021. Data from the electronic records for age and diagnosis, matched non-COVID-19 and COVID-19 ACS group, were extracted and compared. Overall, 83 COVID-19 ACS patients, when compared to 166 non-COVID ACS patients, had significantly more prevalent comorbidities, unfavorable clinical characteristics on admission (acute heart failure 21.7% vs. 6.6%, p < 0.01) and higher rates of major complications, 33.7% vs. 16.8%, p < 0.01, and intrahospital 30-day mortality, 6.7% vs. 26.5%, p < 0.01. The strongest predictors of mortality were aortic regurgitation, HR 9.98, 95% CI 1.88; 52.98, p < 0.01, serum creatinine levels, HR 1.03, 95% CI 1.01; 1.04, p < 0.01, and respiratory failure therapy, HR 13.05, 95% CI 3.62; 47.01, p < 0.01. Concomitant ACS and COVID-19 is linked to underlying comorbidities, adverse presenting features, and poor outcomes. Urgent strategies are needed to improve the outcomes of these patients.

Introduction. Risk stratification is nowadays crucial when estimating the patient?s prognosis in terms of treatment outcome and it also helps in clinical decision making. Several risk assessment models have been developed to predict short-term outcomes in patients with acute coronary syndrome. This study was aimed at developing an outcome prediction model for patients with acute coronary syndrome submitted to percutaneus coronary intervention using data mining approach. Material and Methods. A total of 2030 patients hospitalized for acute coronary syndrome and treated with percutaneous coronary intervention from December 2008 to December 2011 were assigned to a derivation cohort. Demographic and anamnestic data, clinical characteristics on admission, biochemical analysis of blood parameters on admission, and left ventricular ejection fraction formed the basis of the study. A number of machine learning algorithms available within Waikato Environment for Knowledge Discovery had been evaluated and the most successful was chosen. The predictive model was subsequently validated in a different population of 931 patients (validation cohort), hospitalized during 2012. Results. The best prediction results were achieved using Alternating Decision Tree classifier, which was able to predict in-hospital mortality with 89% accuracy, and preserved good performance on validation cohort with 87% accuracy. Alternating Decision Tree classifier identified a subset of 6 attributes most relevant to mortality prediction: systolic and diastolic blood pressure, heart rate, left ventricular ejection fraction, age, and troponin value. Conclusion. Data mining approach enabled the authors to develop a model capable of predicting the in-hospital outcome following percutaneous coronary intervention. The model showed excellent sensitivity and specificity during internal validation.

Gestational hypertension (GH) and preeclampsia (PE) are associated with the onset of hypertension. This study aimed to investigate whether the blood pressure (BP) pattern in GH is associated with the prevalence of hypertension later in life. In this prospective cohort study pregnant women screened for GH underwent medical history, laboratory analysis, ambulatory blood pressure monitoring (AMBP), and transthoracic echocardiography (with left ventricular global longitudinal strain (LVGLS)) assessment. Overall, 138 GH (67 non-dippers and 71 dippers), 55 preeclamptic, and 72 normotensive pregnant controls were included. Women were followed in the postpartum period, first after 6 weeks and later on, for the occurrence of hypertension. The median follow-up was 8.97 years (8.23; 9.03). Non-dippers and PE compared with normotensives and dippers had a higher prevalence of hypertension onset (p < 0.01), as well as significantly reduced absolute values of LVGLS during pregnancy, after delivery, and at the time of onset of hypertension during follow-up (p < 0.01). Night-time diastolic BP, LVGLS, age, and left ventricular ejection fraction were the strongest predictors of postpartum onset of hypertension. The non-dipping BP pattern in GH was significantly associated with the onset of hypertension later in life, as well as with decreased systolic function.

Background: Our aim was to present the effect of the neoadjuvant chemoradiation therapy on the development of the complete histopathological tumour regression in patients with locally advanced rectal cancer and its influence on a five-year survival of these patients. Methods: In total, 223 patients were included in the analysis; 109 patients had the locally advanced rectal cancer; 75 patients received the neoadjuvant chemoradiation therapy, which was later followed by surgery; 34 patients were treated with the surgery alone. The surgical procedure was done 6 to 8 weeks after the chemoradiation therapy and it was preceded by haematology and biochemical analyses. In addition, patients were examined by ultrasound and MRI imaging of liver to evaluate the effects of neoadjuvant chemoradiation therapy. Accordingly, we had two patient groups: patients with the complete histopathological tumour regression and patients with the incomplete or no regression. We performed the statistical analysis of all locally advanced rectal cancer patients and determined their survival. Results: The complete histopathological tumour regression was found in 10.7% of 75 patients who were treated with preoperative chemoradiation. The down staging of the tumour appeared in 53.3% of patients. There were no stage changes in 21.3% of patients. The disease progressed into a more severe stage in 9.3% of patients, while the effects of the preoperative chemoradiation therapy could not be determined in 5.3% of patients. The survival of patients with the complete histopathological tumour regression was 70% in a five-year period, while it was 40% in patients with incomplete histopathological regression. Conclusion: The preoperative chemoradiation therapy leads to complete histopathological tumour regression and increases a five-year survival (70%). It also leads to the increase of the number of patients who undergo radical surgery.