A Multicenter Trial of Vena Cava Filters in Severely Injured Patients

Kwok M Ho1, Sudhakar Rao1, Stephen Honeybul1

  • 1From the Departments of Intensive Care Medicine (K.M.H., J.C.), Neurosurgery (S.H.), and Radiology (P.M.), the State Trauma Unit (S.R., R.Z., C.F.), and the Centre for Implant Technology and Retrieval Analysis, Department of Medical Engineering and Physics (A.K.), Royal Perth Hospital, the Schools of Population and Global Health (K.M.H.), Allied Health (E.G.), and Medicine and Pharmacology (B.W., T.C.), University of Western Australia, and the School of Veterinary and Life Sciences (K.M.H.) and the Western Australian Centre for Thrombosis and Haemostasis (R.I.B.), Murdoch University, Perth, WA, the Departments of Neurosurgery (S.H.) and Intensive Care Medicine (B.W.), Sir Charles Gairdner Hospital, Nedlands, WA, Critical Care Services, Royal Brisbane and Women's Hospital and University of Queensland, Brisbane (J.L., A.H.), and the Department of Intensive Care Medicine, Fiona Stanley Hospital, Murdoch, WA (C.E.) - all in Australia; and Trauma Services, Lancaster General Hospital, University of Pennsylvania, Lancaster (F.B.R.).

Abstract

Related Concept Videos

Passive Filters01:27

Passive Filters

Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
964
Active Filters01:25

Active Filters

Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
10.2K
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
4.6K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
399
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.4K