Publications by authors named "Christopher W C Lee"

Introduction: During mass-casualty incidents (MCIs), patient volume often overwhelms available Emergency Medical Services (EMS) personnel. First responders are expected to triage, treat, and transport patients in a timely fashion. If other responders could triage accurately, prehospital EMS resources could be focused more directly on patients that require immediate medical attention and transport.

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Appropriate fluid resuscitation has been a major focus of critical care medicine since its inception. Currently, the most accurate method to guide fluid administration decisions uses "dynamic" measures that estimate the change in cardiac output that would occur in response to a fluid bolus. Unfortunately, their use remains limited due to required technical expertise, costly equipment, or applicability in only a subset of patients.

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Background: Mass-casualty incidents (MCIs) present a unique challenge with regards to triage as patient volume often outweighs the number of available Emergency Medical Services (EMS) providers. A possible strategy to optimize existing triage systems includes the use of other first responder groups, namely fire and police, to decrease the triage time during MCIs, allowing for more rapid initiation of life-saving treatment and prioritization of patient transport. Hypothesis First-year primary care paramedic (PCP), fire, and police trainees can apply with similar accuracy an internationally recognized MCI triage tool, Sort, Assess, Life-saving interventions, Treatment/transport (SALT), immediately following a brief training session, and again three months later.

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Background And Objectives: Physicians frequently search bibliographic databases, such as MEDLINE via PubMed, for best evidence for patient care. The objective of this study was to develop and test search filters to help physicians efficiently retrieve literature related to dialysis (hemodialysis or peritoneal dialysis) from all other articles indexed in PubMed, Ovid MEDLINE, and Embase.

Design, Setting, Participants, & Measurements: A diagnostic test assessment framework was used to develop and test robust dialysis filters.

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Background: Tools to enhance physician searches of Medline and other bibliographic databases have potential to improve the application of new knowledge in patient care. This is particularly true for articles about glomerular disease, which are published across multiple disciplines and are often difficult to track down. Our objective was to develop and test search filters for PubMed, Ovid Medline, and Embase that allow physicians to search within a subset of the database to retrieve articles relevant to glomerular disease.

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Background: Clinicians commonly search bibliographic databases such as Medline to find sound evidence to guide patient care. Unfortunately, this can be a frustrating experience because database searches often miss relevant articles. We addressed this problem for transplant professionals by developing kidney transplantation search filters for use in Medline through PubMed and Ovid Technologies, and Embase.

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