Background: Pulmonary embolism (PE) is not only a life-threatening disease but also a public health issue with significant economic burden. The aim of the study was to identify factors-including the role of primary care-that predict length of hospital stay (LOHS), mortality and re-hospitalization within 6 months of patients admitted for PE.
Method: A retrospective cohort study was conducted with patients presenting to a Swiss public hospital with PE diagnosed at the hospital between November 2018 and October 2020. Multivariable logistic and zero-truncated negative binomial regression analyses were performed to assess risk factors for mortality, re-hospitalization and LOHS. Primary care variables encompassed whether patients were sent by their general practitioner (GP) to the emergency department and whether a GP follow-up assessment after discharge was recommended. Further analyzed variables were pulmonary embolism severity index (PESI) score, laboratory values, comorbidities, and medical history.
Results: A total of 248 patients were analyzed (median 73 years and 51.6% females). On average patients were hospitalized for 5 days (IQR 3-8). Altogether, 5.6% of these patients died in hospital, and 1.6% died within 30 days (all-cause mortality), 21.8% were re-hospitalized within 6 months. In addition to high PESI scores, we detected that, patients with an elevated serum troponin, as well as with diabetes had a significantly longer hospital stay. Significant risk factors for mortality were elevated NT-proBNP and PESI scores. Further, high PESI score and LOHS were associated with re-hospitalization within 6 months. PE patients who were sent to the emergency department by their GPs did not show improved outcomes. Follow-up with GPs did not have a significant effect on re-hospitalization.
Conclusion: Defining the factors that are associated with LOHS in patients with PE has clinical implications and may help clinicians to allocate adequate resources in the management of these patients. Serum troponin and diabetes in addition to PESI score might be of prognostic use for LOHS. In this single-center cohort study, PESI score was not only a valid predictive tool for mortality but also for long-term outcomes such as re-hospitalization within 6 months.
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http://dx.doi.org/10.3389/fmed.2023.1120977 | DOI Listing |
J R Coll Physicians Edinb
January 2025
Medical and Respiratory Units, Dumfries and Galloway Royal Infirmary, Dumfries, UK.
Background: The British Thoracic Society recommend that pulmonary embolism (PE) patients with low-risk Pulmonary Embolism Severity Index (PESI) scores are considered for outpatient (OP) management, in settings where robust pathways for follow-up and monitoring exist.
Methods: Retrospective cohort study. We reviewed the electronic records of 109 consecutive PE patients considered appropriate for OP management.
J Clin Med
November 2024
Department of Biochemistry, Faculty of Medicine, Ondokuz Mayis University, 55270 Samsun, Turkey.
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.
View Article and Find Full Text PDFCirc J
November 2024
Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University.
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.
View Article and Find Full Text PDFPhysiol Meas
December 2024
Sensory-Motor Systems Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
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.
View Article and Find Full Text PDFJ Clin Med
October 2024
University Institute of Internal Medicine, Cantonal Hospital Baselland, CH-4410 Liestal, Switzerland.
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.
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