Aruna Priya

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BACKGROUND Mortality prediction models generally require clinical data or are derived from information coded at discharge, limiting adjustment for presenting severity of illness in observational studies using administrative data. OBJECTIVES To develop and validate a mortality prediction model using administrative data available in the first 2 hospital(More)
OBJECTIVE The focused assessment with sonography for trauma (FAST) exam is a routine diagnostic adjunct in the initial assessment of blunt trauma victims but lacks the ability to reliably predict which patients require laparotomy. Physiologic data play a major role in decision making regarding the need for emergent laparotomy versus further diagnostic(More)
OBJECTIVES Guidelines for treatment of healthcare-associated pneumonia (HCAP) recommend empirical therapy with broad-spectrum antimicrobials. Our objective was to examine the association between guideline-based therapy (GBT) and outcomes for patients with HCAP. PATIENTS AND METHODS We conducted a pharmacoepidemiological cohort study at 346 US hospitals.(More)
BACKGROUND Although models exist for predicting hospital readmission after coronary artery bypass surgery, no such models exist for predicting readmission after heart valve surgery (HVS). METHODS AND RESULTS Using a geographically and structurally diverse sample of US hospitals (Premier Inpatient Database, January 2007-June 2011), we examined patient,(More)
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