Results 131 to 140 of about 384,561 (284)

Human descending aorta injury caused by brucellosis: A case report. [PDF]

open access: yesMedicine (Baltimore), 2023
Li X   +7 more
europepmc   +1 more source

Clinical and pathological findings in giraffes (Giraffa camelopardalis) with arterial thrombotic disease

open access: yesVeterinary Record Case Reports, EarlyView.
Abstract Two adult female giraffes (Giraffa camelopardalis) from separate facilities were diagnosed with arterial thrombotic disease. The first giraffe presented with acute severe unilateral hindlimb paralysis. Infrared thermography revealed a marked temperature decrease compared to the contralateral limb starting from the mid‐thigh region, indicative ...
Pierre Huberdeau   +7 more
wiley   +1 more source

Left ventricular assist device implantation with left lateral thoracotomy with anastomosis to the descending aorta.

open access: yesInteractive Cardiovascular and Thoracic Surgery, 2018
M. Ozbaran   +4 more
semanticscholar   +1 more source

Pregnancy and Delivery Outcomes in Vascular Ehlers–Danlos Syndrome: A Retrospective Multicentre Cohort Study

open access: yesBJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objective We aim to increase knowledge on pregnancy and delivery risks in vascular Ehlers–Danlos Syndrome (vEDS). Our outcomes can contribute to establishing future guidelines for pregnancy and delivery management in women with vEDS. Design Retrospective multicentre cohort study.
Lisa M. van den Bersselaar   +13 more
wiley   +1 more source

Contrast Pooling in the Descending Aorta. [PDF]

open access: yesIntern Med, 2023
Kawai K, Yamanaka R.
europepmc   +1 more source

Infiltrating Angiosarcoma of the Ascending, Arch and Descending Aorta Manifested as Acute Mesenteric Ischemia

open access: diamond, 2021
G. Deiana   +6 more
openalex   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

open access: yesArtificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato   +11 more
wiley   +1 more source

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