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D. Scott Obrosky

Researcher at University of Pittsburgh

Publications -  44
Citations -  5257

D. Scott Obrosky is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Community-acquired pneumonia & Pneumonia. The author has an hindex of 27, co-authored 42 publications receiving 4888 citations. Previous affiliations of D. Scott Obrosky include University of Pennsylvania & Veterans Health Administration.

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Derivation and Validation of a Prognostic Model for Pulmonary Embolism

TL;DR: The prediction rule is based on 11 simple patient characteristics that were independently associated with mortality and stratifies patients with pulmonary embolism into five severity classes, with 30-day mortality rates of 0-1.6%.
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Time to Clinical Stability in Patients Hospitalized With Community-Acquired Pneumonia Implications for Practice Guidelines

TL;DR: Estimates of time to stability in pneumonia and explicit criteria for defining stability can provide an evidence-based estimate of optimal length of stay, and outline a clinically sensible approach to improving the efficiency of inpatient management are outlined.
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Veterans Affairs Initiative to Prevent Methicillin-Resistant Staphylococcus aureus Infections

TL;DR: A program of universal surveillance, contact precautions, hand hygiene, and institutional culture change was associated with a decrease in health care-associated transmissions of and infections with MRSA in a large health care system.
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Causes of death for patients with community-acquired pneumonia: results from the Pneumonia Patient Outcomes Research Team cohort study.

TL;DR: Differences in the timing of death and risk factors for mortality suggest that future studies of community-acquired pneumonia should differentiate all-cause and pneumonia-related mortality.
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Prospective comparison of three validated prediction rules for prognosis in community-acquired pneumonia.

TL;DR: The more complex Pneumonia Severity Index has a higher discriminatory power for short-term mortality, defines a greater proportion of patients atLow risk, and is slightly more accurate in identifying patients at low risk than either CURB score.