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Exam (elaborations)

RVT ARDMS Exam Review Questions With Correct Answers

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RVT ARDMS Exam Review Questions With Correct Answers 3 causes of venous thrombosis also called, Virchow's Triad - answerVenous stasis, trauma/endothelial damage, hypercoagulability Venous stasis - answerSlowed blood flow in veins. Caused by immobility, myocardial infarction, CHF, hypotension, ...

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  • October 15, 2024
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©SIRJOEL EXAM SOLUTIONS
12/3/2024 11:27AM



RVT ARDMS Exam Review Questions With
Correct Answers


3 causes of venous thrombosis also called, Virchow's Triad - answer✔Venous stasis,

trauma/endothelial damage, hypercoagulability


Venous stasis - answer✔Slowed blood flow in veins. Caused by immobility, myocardial

infarction, CHF, hypotension, COPD, obesity, pregnancy, previous DVT, extrinsic compression,

SVC syndrome, paraplegia, surgery associated conditions.


2 types of Trauma/endothelial damage - answer✔Intrinsic and extrinsic


Intrinsic trauma is - answer✔Damage to the vessel wall from intravenous drugs or a catheter.

Increased use of PICC line results in higher incidence of upper extremity thrombus, usually

developing at most proximal portion of PICC line.


Extrinsic trauma is - answer✔Damage caused by an accident, which can occur at any site of the

body.


Hypercoagulability is associated with - answer✔Pregnancy, cancer, oral contraceptives and/or

hormone replacement therapy, inherited states,e.g., factor V Leiden or protein C, protein S, or

Antithrombin III deficiency

, ©SIRJOEL EXAM SOLUTIONS
12/3/2024 11:27AM


Sensitivity, and


How to calculate? - answer✔-Ability of a test to detect disease, how many tests are correctly

called positive.

- # of true positives divided by # of all positive tests by gold standard, or TP/TP+FN


Specificity, and how to calculate? - answer✔-Ability of a test to identify normality, or how many

results were correctly called negative.

- # of true negative divided by # of all negative tests by gold standard, or TN/TN+FP


Positive predictive value, and how to calculate? - answer✔-percentage of test results that

accurately predict abnormality, or what % correctly predicted disease.

- # of true positive test divided by # of all positive tests, or TP/TP+FP


Negative predictive value, and how to calculate? - answer✔- percentage of test results that

accurately predict normality, or what % correctly predicted absence of disease.

- # of true negatives divided by # of all negative tests, or TN/TN+FN


Accuracy, and how to calculate? - answer✔- % of correct tests, or how well does the test both

detect and rule out disease.

- total # of correct tests divided by total # of all tests, or TP+TN/TP+FP+FN+TN

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