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• Machine learning (ML) techniques in pulmonary embolism (PE) diagnosis and risk prediction show promise for enhancing clinical decision-making and improving patient care. • ML-based tools have the potential to lead to more accurate and personalized interventions for patients at risk of a life-threatening condition such as PE. • Further research and validation are needed to optimize the performance of these ML approaches for the diagnostic management of PE. [ABSTRACT FROM AUTHOR]

Chronic thromboembolic pulmonary hypertension (CTEPH) is a long-term sequel to pulmonary embolism (PE) whose incidence varies according to different published studies. We have carried out this study to determine its incidence within 2 years after index pulmonary embolism and to study limitations to an early diagnosis. OSIRIS is a multicentre, longitudinal cohort study. Patients were followed for 3, 6, 12, and 24 months after pulmonary embolism using a structured three-step algorithm. A physician-centered questionnaire at least one positive response in a screening proceeded to the second step, transthoracic echocardiography. The third step consisted of ventilation/perfusion lung scintigraphy and right heart catheterisation. A transthoracic echocardiography was performed in patients without positive response in the screening questionnaire after 2 years. CTEPH diagnosis required haemodynamic confirmation by right heart catheterisation and mismatched perfusion defects on lung scintigraphy. A total of 1191 patients were enrolled in 18 Spanish hospitals. Cumulative CTEPH incidence after 2-years PE was: 2.49 % (95 % CI: 1.68–3.56) and the incidence rate of CTEPH was 1.1 cases per 1000 person-months (95 % CI: 0.725; 1.60). The CTEPH algorithm presented a lack of adherence of 29 %; patient and physician preferences posed barriers to the triage algorithm The screening questionnaire, in patients who completed the follow-up, shows a specificity of 91.3 % (89.0–93.2 %) and negative predictive value of 99.4 % (98.4–99.8 %).. OSIRIS provides practiced clinical based data on the chronic thromboembolic pulmonary hypertension incidence and identified barriers to the implementation of a 3-step triage algorithm for its detection. clinicaltrials.gov identifier: NCT03134898. [Display omitted] • Two-year cumulative incidence of Chronic Thromboembolic Pulmonary Hypertension (CTEPH) after pulmonary embolism (PE) was 2.49% (95% CI: 1.68-3.56) • A structured three-step diagnostic algorithm based on clinical assessment starting with a screening questionnaire showed limited feasibility, but a high negative predictive value • Observed barriers from patients and physicians to the implementation of a screening-based CTEPH diagnostic algorithm may support the planning of future studies and help to address training gaps [ABSTRACT FROM AUTHOR]

Abstract: A rapid, reliable and simple capillary zone electrophoresis method for the determination of organic acids in beverages was developed. The complete separation of oxalic, formic, tartaric, malic, succinic, maleic, glutaric, pyruvic, acetic, lactic, citric, butyric, benzoic, sorbic, ascorbic and gluconic acids can be achieved in less than 3.5min with a simple electrolyte composed by phosphate as the carrier buffer (7.5mM NaH2PO4 and 2.5mM Na2HPO4), 2.5mM TTAOH as electroosmotic flow modifier and 0.24mM CaCl2 as selectivity modifier, adjusting the pH at 6.40 constant value. Injection was performed in hydrodynamic mode (30s) and the detection mode was UV direct at 185nm. The running voltage was −25kV at thermostated temperature of 25°C. The method developed has been applied to several beverage samples with only a simple dilution and filtration treatment of the sample. The proposed method is fast because the separation time decrease two, four or, even, six times the separation times of the previous reported CZE methods. It is also simple and cheap due to a low consumption of chemicals and samples. These reasons permit it to be considered adequate for routine analysis of organic acids in beverage samples. [Copyright &y& Elsevier]