High D-dimer levels are predictors of death in patients with pulmonary embolism (PE), as are more proximally located, larger emboli. The direct link between these three has not yet been described. A cohort of 674 consecutive patients with confirmed PE was studied. Patients were followed up for 3 months. D-dimer levels were measured only in patients with an unlikely clinical probability (n = 262). The odds ratio (OR) for death of all variables was calculated. Multivariate analysis was performed to identify independent risk factors for mortality. The best predictive D-dimer cut-off point for mortality was a concentration >3000 ng/ml FEU (OR 7.29). High D-dimer levels were correlated with active malignancy and age over 65 years, both being indicators of 3-month mortality. High D-dimer levels were also correlated with centrally located pulmonary emboli and 15-d mortality. The combination of high D-dimer levels and central emboli increased early mortality risk by 2.2. High D-dimer levels in patients with an unlikely clinical probability were associated with fatal outcome after PE. Centrally located pulmonary emboli were associated with higher D-dimer levels and worse 15-d mortality. Active malignancy, being an inpatient at time of diagnosis and age over 65 years were associated with higher D-dimer levels and worse 3-month survival.
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http://dx.doi.org/10.1111/j.1365-2141.2007.06888.x | DOI Listing |
Front Neurol
January 2025
School of International Medicine, Istanbul Medipol University, Istanbul, Türkiye.
This review aims to summarize current knowledge and highlight recent findings on the association between cryptogenic stroke (CS) and patent foramen ovale (PFO). By presenting sometimes conflicting data, the review underscores the necessity for further research to clarify the complex mechanisms behind PFO-related CS and optimize its management. Results from research identifies specific conditions and scores, such as the risk of paradoxical embolism (RoPE) score, that help assess the likelihood of PFO-related cryptogenic stroke and guide treatment decisions.
View Article and Find Full Text PDFJ Med Biochem
November 2024
People's Hospital of Xuyi County, Department of Pathology, Huaian, Jiangsu Province, China.
Background: Serum neuritin and neuron-specific enolase (NSE) have predictive value for the prognosis of patients with combined traumatic brain injury (TBI) and spinal cord injury (SCI). Studying their predictive effects has positive value for disease control and treatment.
Methods: Sixty patients with combined TBI and SCI were recruited and rolled into three groups according to prognosis: Group I (n=42, favourable prognosis), Group II (n=11, poor prognosis), and Group III (n=7, death).
Arch Gynecol Obstet
January 2025
Department of Obstetrics and Gynecology, Division of Perinatology, Ankara Etlik City Hospital, Ankara, Turkey.
Introduction: Pregnancy induces a hypercoagulable state, characterized by increased coagulation factors and decreased anticoagulants, alongside ongoing fibrinolysis marked by elevated D-dimer (DD) levels. Reference values for DD in pregnancy often exceed the non-pregnant cutoff due to these changes. Elevated DD levels are common in late pregnancy and may correlate with complications such as gestational diabetes, hypertension, and preterm delivery, particularly in cases of preterm premature rupture of membranes (PPROM).
View Article and Find Full Text PDFJ Spinal Cord Med
January 2025
Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Objectives: This study aims to elucidate the relationship between red blood cell (RBC) count and D-dimer levels in patients with spinal cord injury, with the goal of identifying potential therapeutic targets for minimizing D-dimer levels.
Study Design: An observational, retrospective, cross-sectional, single center study.
Setting: Individuals with SCI (576 cases) admitted to a rehabilitation medicine department.
Front Cardiovasc Med
January 2025
Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Objective: We aimed to explore the application value of unsupervised machine learning in identifying acute gastrointestinal injury (AGI) after extracorporeal circulation for acute type A aortic dissection (ATAAD).
Methods: Patients who underwent extracorporeal circulation for ATAAD at the First Hospital of Lanzhou University from January 2016 to January 2021 were included. Unsupervised machine learning algorithm was used to stratify patients into different phenogroups according to the similarity of their clinical features and laboratory test results.
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