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Research Studies is a monthly compilation of research articles funded by AHRQ or authored by AHRQ researchers and recently published in journals or newsletters.
Results1 to 3 of 3 Research Studies Displayed
Lindell RB, Nishisaki A, Weiss SL
Comparison of methods for identification of pediatric severe sepsis and septic shock in the Virtual Pediatric Systems Database.
This study compared the use of Virtual Pediatric Systems with traditional use of International Classification of Diseases, 9th edition (ICD) to identify children with severe sepsis or septic shock in PICU settings. Two different systems were compared “Martin” and “Angus”. Both showed good agreement, but ICD9 identified a smaller more accurate cohort of children. Additional analysis of discrepancies between the reference standard the two virtual systems showed that prospective screening missed 66 patients who were diagnosed with severe sepsis or severe shock. Once they were included in the standard cohort, agreement improved with a positive predictive value of 70%.
AHRQ-funded; HS024511; HS022464.
Citation: Lindell RB, Nishisaki A, Weiss SL . Comparison of methods for identification of pediatric severe sepsis and septic shock in the Virtual Pediatric Systems Database. Crit Care Med 2019 Feb;47(2):e129-e35. doi: 10.1097/ccm.0000000000003541..
Keywords: Children/Adolescents, Intensive Care Unit (ICU), Data, Sepsis
Rhee C, Dantes R, Epstein L
Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014.
The researchers estimated the US national incidence of sepsis and trends using detailed clinical data from the electronic health record (EHR) systems of diverse hospitals. In clinical data from 409 hospitals, sepsis was present in 6 percent of adult hospitalizations, and in contrast to claims-based analyses, neither the incidence of sepsis nor the combined outcome of death or discharge to hospice changed significantly between 2009-2014.
Citation: Rhee C, Dantes R, Epstein L . Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014. JAMA 2017 Oct 3;318(13):1241-49. doi: 10.1001/jama.2017.13836.
Keywords: Data, Electronic Health Records (EHRs), Hospitals, Mortality, Sepsis
Wang HE, Donnelly JP, Shapiro NI
Hospital variations in severe sepsis mortality.
The authors characterized variations in severe sepsis mortality between hospitals in the United States. They used hospital discharge data from the University HealthSystem Consortium and found variations in institutional severe sepsis observed mortality rates and observed-to-expected mortality ratios.
AHRQ-funded; HS019465; HS013852.
Citation: Wang HE, Donnelly JP, Shapiro NI . Hospital variations in severe sepsis mortality. Am J Med Qual 2015 Jul-Aug;30(4):328-36. doi: 10.1177/1062860614534461.
Keywords: Data, Hospitals, Mortality, Patient-Centered Outcomes Research, Sepsis