Publications by authors named "J C Cobb"

Introduction: The choice between cemented and cementless fixation in primary elective total hip arthroplasty (THA) remains a subject of ongoing debate. However, comparisons between the two are subject to limited adjustments for patient characteristics, diagnoses, and surgical factors, as well as by limited outcome time endpoints. Our study aimed to compare the effect of femoral fixation on safety and implant survival outcomes in matched patients.

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Introduction: For total hip arthroplasty (THA) to be successful, surgeons need to make several decisions ranging from implant choice to impaction force. It is unclear, however, whether and how bone quality affects surgeon's decision-making and how surgeons evaluate bone quality.

Objectives: This inductive/deductive qualitative hybrid study aims to explore the impact of bone quality on the decision-making of surgeons performing elective primary THA.

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Background: Therapeutic plasma exchange (TPE) is the primary intervention for treating symptomatic hyperviscosity from hypergammaglobulinemia, yet its efficacy for treating hyperviscosity related to hyperfibrinogenemia is unclear.

Objective: Define the safety and efficacy of TPE for critically ill COVID-19 patients with elevated blood viscosity from hyperfibrinogenemia.

Method: A prospective, randomized controlled trial in critically ill COVID-19 patients at a single US healthcare system.

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Background: Cell concentration in body fluid is an important factor for clinical diagnosis. The traditional method involves clinicians manually counting cells under microscopes, which is labor-intensive. Automated cell concentration estimation can be achieved using flow cytometers; however, their high cost limits accessibility.

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A growing body of critical care research draws on real-world data from electronic health records (EHRs). The bedside clinician has myriad data sources to aid in clinical decision-making, but the lack of data sharing and harmonization standards leaves much of this data out of reach for multi-institution critical care research. The Society of Critical Care Medicine (SCCM) Discovery Data Science Campaign convened a panel of critical care and data science experts to explore and document unique advantages and opportunities for leveraging EHR data in critical care research.

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