Background: Acute pulmonary embolism (APE) is an important cause of cardiovascular morbidity and mortality. PESI scoring is used in risk classification. This study was designed to determine the relationship between echocardiographic pulmonary vein measurements and PESI score, which is an important tool in diagnosis and treatment.
Methods: A total of 210 patients were evaluated. Pulmonary vein measurements and PESI scores of the patients at the time of diagnosis were calculated. Correlation analysis was performed to determine the relationship between the two parameters.
Results: Total PESI scores were 112.9 ± 33.9. The pulmonary vein S wave .39 ± .14, the D wave .48 ± .18, and the S/D ratio was found to be .86 ± .35. It was determined that there was a significant correlation between pulmonary S/D ratio and PESI score. (Pearson correlation coefficient = -.693, R2 Linear:.484; p < .001) The AUC of S/D for mortality prediction was .729 (95% CI = .653-.804; p < .001), the cutoff value was .63, the sensitivity and specificity were 55.6% and 55.7%, respectively.
Conclusion: Pulmonary vein measurements were found to be correlated with the PESI score and were found to be a parameter that could predict mortality.
Suppression of Tumorigenicity 2 (ST2), a member of the interleukin-1 (IL-1) superfamily, is recognized as an important biomarker in inflammatory responses and cardiovascular diseases. Elevated serum levels of sST2 have prognostic value, particularly in cases of cardiac stress such as heart failure and acute pulmonary embolism (APE). We aimed to assess ST2 levels as a potential biomarker for right heart dysfunction in APE patients, particularly in the context of its limited predictive value for mortality and risk stratification.
Background: Accurate prediction of short-term mortality in patients with acute pulmonary embolism (PE) is critical for optimizing treatment strategies and improving patient outcomes. The Pulmonary Embolism Severity Index (PESI) is the current reference score used for this purpose, but it has limitations regarding predictive accuracy. Our aim was to develop a new short-term mortality prediction model for PE patients based on deep learning (DL) with multimodal data, including imaging and clinical/demographic data.
Increasing temperatures pose new challenges for track workers (TWs), who endure prolonged exposure to extreme heat and humidity. New methods are critically needed to assess their performance and heat tolerance, aiming to mitigate workplace accidents and long-term health consequences. This study aimed to investigate the physiological effects of heat exposure on TWs, using wearable sensors to monitor key physiological parameters under controlled environmental conditions.
Diagnosing acute pulmonary embolism (PE) is challenging due to its wide range of symptoms and numerous differential diagnoses. Medical professionals must balance performing all essential examinations and avoiding unnecessary testing. This study aimed to retrospectively audit the diagnosis and treatment of acute PE at a Swiss public teaching hospital to determine the adherence to current guidelines and to identify the factors associated with the delayed initiation of anticoagulation in PE patients.
* A retrospective study in Romania analyzed 198 patients with venous thromboembolic disease, comparing those with (Group 1) and without (Group 2) COVID-19 during the pandemic's early waves.
* Results showed Group 1 had worse clinical markers, longer ICU stays, and a trend towards higher mortality, while the PESI score was only predictive of death in patients without COVID-19.
