Unchanging Mortality from Pulmonary Embolism in the United States

Sung, Yon K.; Kline, Jeffrey A.

doi:10.1513/annalsats.202308-751ed

Cited by 2 publications

(2 citation statements)

References 14 publications

(15 reference statements)

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“…Second, deaths previously described as “unexplained” may increasingly be attributed to PE due to heightened awareness and improved diagnostic strategies, creating a misleading upward trend in high‐risk PE mortality 3 . Epidemiological methods of determining PE mortality that are based on death certificate data may also have limitations that introduce error 13 . Third, the SARS‐CoV‐2 pandemic has increased global PE incidence and may be further contributing to PE‐related mortality 14,15 .…”

Section: An Increasing Pe‐related Mortality Trendmentioning

confidence: 99%

“…3 Epidemiological methods of determining PE mortality that are based on death certificate data may also have limitations that introduce error. 13 Third, the SARS-CoV-2 pandemic has increased global PE incidence and may be further contributing to PE-related mortality. 14,15 Fourth, high-risk PE patients may be significantly undertreated with regard to systemic thrombolysis and presumptive anticoagulation prior to diagnostic confirmation.…”

Section: Introductionmentioning

confidence: 99%

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Addressing the rising trend of high‐risk pulmonary embolism mortality: Clinical and research priorities

Casey,

Stubblefield,

Luijten

et al. 2024

Academic Emergency Medicine

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Deaths from high‐risk pulmonary embolism (PE) appear to have increased in the last decade. Modifiable risks contributing to this worrisome trend present opportunities for physicians, researchers, and healthcare policymakers to reduce excess mortality. Emerging advanced therapies for PE appear promising, although we lack clear insight as to the magnitude of potential benefit and which patient subgroup(s) should receive them. Treatment and outcome disparities attributable to social determinants of health demand new healthcare delivery policy. In this article, we examine current PE epidemiology, suggest quality improvement and healthcare policy initiatives, and discuss relevant ongoing clinical trials aimed at addressing excess PE mortality.

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Section: An Increasing Pe‐related Mortality Trendmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Addressing the rising trend of high‐risk pulmonary embolism mortality: Clinical and research priorities

Casey,

Stubblefield,

Luijten

et al. 2024

Academic Emergency Medicine

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Imaging‐based risk stratification of patients with pulmonary embolism based on dual‐energy CT‐derived radiomics

Gotta,

Koch,

Geyer

et al. 2023

Eur J Clin Investigation

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BackgroundTechnological progress in the acquisition of medical images and the extraction of underlying quantitative imaging data has introduced exciting prospects for the diagnostic assessment of a wide range of conditions. This study aims to investigate the diagnostic utility of a machine learning classifier based on dual‐energy computed tomography (DECT) radiomics for classifying pulmonary embolism (PE) severity and assessing the risk for early death.MethodsPatients who underwent CT pulmonary angiogram (CTPA) between January 2015 and March 2022 were considered for inclusion in this study. Based on DECT imaging, 107 radiomic features were extracted for each patient using standardized image processing. After dividing the dataset into training and test sets, stepwise feature reduction based on reproducibility, variable importance and correlation analyses were performed to select the most relevant features; these were used to train and validate the gradient‐boosted tree models.ResultsThe trained machine learning classifier achieved a classification accuracy of .90 for identifying high‐risk PE patients with an area under the receiver operating characteristic curve of .59. This CT‐based radiomics signature showed good diagnostic accuracy for risk stratification in individuals presenting with central PE, particularly within higher risk groups.ConclusionModels utilizing DECT‐derived radiomics features can accurately stratify patients with pulmonary embolism into established clinical risk scores. This approach holds the potential to enhance patient management and optimize patient flow by assisting in the clinical decision‐making process. It also offers the advantage of saving time and resources by leveraging existing imaging to eliminate the necessity for manual clinical scoring.

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Unchanging Mortality from Pulmonary Embolism in the United States

Cited by 2 publications

References 14 publications

Addressing the rising trend of high‐risk pulmonary embolism mortality: Clinical and research priorities

Addressing the rising trend of high‐risk pulmonary embolism mortality: Clinical and research priorities

Imaging‐based risk stratification of patients with pulmonary embolism based on dual‐energy CT‐derived radiomics

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