3 results match your criteria picc-associated uevt

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Validation of Michigan risk score and D-dimer to predict peripherally inserted central catheter-related thrombosis: A study of 206,132 catheter days.

J Vasc Access 2021 Apr 16:11297298211008772. Epub 2021 Apr 16.

Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Background: The Michigan Risk Score (MRS) was the only predicted score for peripherally inserted central venous catheters (PICC) associated upper extremity venous thrombosis (UEVT). Age-adjusted D-dimer increased the efficiency for UEVT. There were no external validations in an independent cohort. Read More

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Upper extremity venous thrombosis in patients with cancer with peripherally inserted central venous catheters: a retrospective analysis of risk factors.

J Oncol Pract 2013 Jan;9(1):e8-12

University of Texas Southwestern Medical Center, Department of Palliative Care, Dallas, TX 75390-8889, USA.

Purpose: Peripherally inserted central catheters (PICCs) are often used in place of mediport catheters because of cost and lack of operating room time and to prevent delays in therapy. One common complication associated with their use is upper extremity venous thrombosis (UEVT). The purpose of this study was to ascertain risk factors associated with an increased risk of PICC-associated UEVT in patients with cancer. Read More

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January 2013

Risk factors for upper extremity venous thrombosis associated with peripherally inserted central venous catheters.

J Vasc Access 2012 Apr-Jun;13(2):231-8

Department of Internal Medicine, St. Elizabeth Health Center, Youngstown, OH 44501, USA.

Purpose: To identify clinically important risk factors associated with upper extremity venous thrombosis following peripherally inserted central venous catheters (PICC).

Methods: A retrospective case control study of 400 consecutive patients with and without upper extremity venous thrombosis post-PICC insertion was performed. Patient data included demographics, body mass index (BMI), ethnicity, site of insertion, size and lumen of catheter, internal length, infusate, and co-morbidities, such as diabetes mellitus, congestive heart failure, and renal failure. Read More

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October 2012
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