7 datasets found
  1. f

    Cohort selection from the Premier Healthcare Database.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Eric Gluck; H. Bryant Nguyen; Kishore Yalamanchili; Margaret McCusker; Jaya Madala; Frank A. Corvino; Xuelian Zhu; Robert Balk (2023). Cohort selection from the Premier Healthcare Database. [Dataset]. http://doi.org/10.1371/journal.pone.0205924.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Eric Gluck; H. Bryant Nguyen; Kishore Yalamanchili; Margaret McCusker; Jaya Madala; Frank A. Corvino; Xuelian Zhu; Robert Balk
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Cohort selection from the Premier Healthcare Database.

  2. f

    Patient characteristics.

    • plos.figshare.com
    xls
    Updated Apr 26, 2024
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    Niels D. Martin; Laura L. Schott; Mary K. Miranowski; Amarsinh M. Desai; Cynthia C. Lowen; Zhun Cao; Krysmaru Araujo Torres (2024). Patient characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0302074.t002
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    xlsAvailable download formats
    Dataset updated
    Apr 26, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Niels D. Martin; Laura L. Schott; Mary K. Miranowski; Amarsinh M. Desai; Cynthia C. Lowen; Zhun Cao; Krysmaru Araujo Torres
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundArginine-supplemented enteral immunonutrition has been designed to optimize outcomes in critical care patients. Existing formulas may be isocaloric and isoproteic, yet differ in L-arginine content, energy distribution, and in source and amount of many other specialized ingredients. The individual contributions of each may be difficult to pinpoint; however, all cumulate in the body’s response to illness and injury. The study objective was to compare health outcomes between different immunonutrition formulas.MethodsReal-world data from October 2015 –February 2019 in the PINC AI™ Healthcare Database (formerly the Premier Healthcare Database) was reviewed for patients with an intensive care unit (ICU) stay and ≥3 days exclusive use of either higher L-arginine formula (HAF), or lower L-arginine formula (LAF). Multivariable generalized linear model regression was used to check associations between formulas and ICU length of stay.Results3,284 patients (74.5% surgical) were included from 21 hospitals, with 2,525 receiving HAF and 759 LAF. Inpatient mortality (19.4%) and surgical site infections (6.2%) were similar across groups. Median hospital stay of 17 days (IQR: 16) did not differ by immunonutrition formula. Median ICU stay was shorter for patients receiving HAF compared to LAF (10 vs 12 days; P

  3. Data from: Cytomegalovirus infection and associated hospitalization and...

    • search.datacite.org
    Updated Aug 22, 2020
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    Jonathan Schelfhout; Harold Brown; John A. House; Amit Raval (2020). Cytomegalovirus infection and associated hospitalization and costs among individuals undergoing allogeneic hematopoietic stem cell transplant [Dataset]. http://doi.org/10.6084/m9.figshare.9778721.v1
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    Dataset updated
    Aug 22, 2020
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Taylor & Francis
    Authors
    Jonathan Schelfhout; Harold Brown; John A. House; Amit Raval
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Objective: This study utilized a large, national US database to explore the impact of CMV infection on hospital services utilization and costs during the first 100 days following allogeneic hematopoietic stem cell transplant (allo-HSCT). Methods: This retrospective, observational cohort study used data from the Premier Healthcare database to identify patients undergoing their first (index) allo-HSCT procedure between 1/1/2006 and 3/31/2015. Three subgroups were analyzed according to CMV-related readmissions during the 100-day follow-up (0, 1, or 2+ readmissions) to compare healthcare utilization and costs. Results: A total of 1,610 patients (mean age, 50.5 years; 56.9% male) from 52 US hospitals met the inclusion criteria. During follow-up, 212 (13.2%) patients had 1 (n = 161; 10.0%) or 2+ (n = 51; 3.2%) CMV-related readmissions. The mean ± SD number of all follow-up encounters (inpatient admissions and hospital-based outpatient visits) was similar for the no CMV (3.9 ± 3.9), 1 CMV (3.7 ± 3.9), and 2+ CMV (4.5 ± 3.8) readmission groups (P = 0.439). Mean total costs of hospital-based healthcare encounters (inpatient admissions and hospital-based outpatient visits) during follow-up were significantly greater in patients who had a CMV readmission ($111,729 [1 CMV readmission]; $184,021 [2+ CMV readmissions]) compared to those without a CMV readmission ($46,064; P Conclusions: This large, national database study revealed significantly higher healthcare utilization and costs, as well as mortality, among patients with CMV-related re-hospitalization during the first 100 days post-transplant as compared to patients without CMV-related hospitalization.

  4. f

    Real-world use of procalcitonin and other biomarkers among sepsis...

    • plos.figshare.com
    • figshare.com
    docx
    Updated Jun 1, 2023
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    Eric Gluck; H. Bryant Nguyen; Kishore Yalamanchili; Margaret McCusker; Jaya Madala; Frank A. Corvino; Xuelian Zhu; Robert Balk (2023). Real-world use of procalcitonin and other biomarkers among sepsis hospitalizations in the United States: A retrospective, observational study [Dataset]. http://doi.org/10.1371/journal.pone.0205924
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Eric Gluck; H. Bryant Nguyen; Kishore Yalamanchili; Margaret McCusker; Jaya Madala; Frank A. Corvino; Xuelian Zhu; Robert Balk
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundSepsis management guidelines endorse use of biomarkers to support clinical assessment and treatment decisions in septic patients. The impact of biomarkers on improving patient outcomes remains uncertain.MethodsRetrospective observational study of adult sepsis discharges between January 1, 2012, and December 31, 2015, from Premier Healthcare Database hospitals. Sepsis was defined by an All Patients Refined Diagnosis-Related Group code of 720 (septicemia and disseminated infections). Use of four biomarker strategies was evaluated based on hospital records: (i) >1 procalcitonin (PCT), (ii) 1 PCT, (iii) no PCT but ≥1 C-reactive protein (CRP) and/or lactate and (iv) no sepsis biomarkers. Associations between biomarker use and clinical and cost outcomes were examined. The primary outcome was impact of biomarker strategy on hospital costs per day.ResultsAmong 933,591 adult sepsis discharges during the study period, 731,392 (78%) had biomarker tests ordered. In multivariable analyses, discharges with >1 PCT had higher hospital costs per day ($1,904; 95% confidence interval [CI] $1,896–$1,911) compared with discharges with no sepsis biomarkers ($1,606; 95% CI $1,658–$1,664). Discharges with >1 PCT also had greater illness severity and antimicrobial exposure compared with other biomarker-use groups. The adjusted odds of dying during hospital stay compared with being discharged were significantly lower for sepsis discharges with >1 PCT (0.64; 95% CI 0.61–0.67) and 1 PCT (0.88; 95% CI 0.85–0.91) compared with no sepsis biomarker use. The proportion of discharges with ≥1 PCT increased almost six-fold during the study; use of other biomarkers remained constant.ConclusionsBetween 2012 and 2015, PCT use among sepsis discharges increased six-fold while lactate and CRP use remained unchanged. PCT use was associated with decreased odds of in-hospital mortality but increased hospital costs per day. Serial biomarker monitoring may be associated with improved patient outcomes in the most critically ill septic patients.

  5. f

    Propensity score–matched analysis of patients with intracerebral aneurysms...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Propensity score–matched analysis of patients with intracerebral aneurysms treated endovascularly. [Dataset]. https://plos.figshare.com/articles/dataset/Propensity_score_matched_analysis_of_patients_with_intracerebral_aneurysms_treated_endovascularly_/12507446
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ramesh Grandhi; Michael Karsy; Philipp Taussky; Christine Nichols Ricker; Ajay Malhotra
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Propensity score–matched analysis of patients with intracerebral aneurysms treated endovascularly.

  6. f

    Adjusted outcomes for sepsis discharges by biomarker use categorya (N =...

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Eric Gluck; H. Bryant Nguyen; Kishore Yalamanchili; Margaret McCusker; Jaya Madala; Frank A. Corvino; Xuelian Zhu; Robert Balk (2023). Adjusted outcomes for sepsis discharges by biomarker use categorya (N = 922,594). [Dataset]. http://doi.org/10.1371/journal.pone.0205924.t004
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Eric Gluck; H. Bryant Nguyen; Kishore Yalamanchili; Margaret McCusker; Jaya Madala; Frank A. Corvino; Xuelian Zhu; Robert Balk
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Adjusted outcomes for sepsis discharges by biomarker use categorya (N = 922,594).

  7. f

    Data from: Cytomegalovirus infection and associated hospitalization and...

    • tandf.figshare.com
    docx
    Updated Jun 4, 2023
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    Jonathan Schelfhout; Harold Brown; John A. House; Amit D. Raval (2023). Cytomegalovirus infection and associated hospitalization and costs among individuals undergoing allogeneic hematopoietic stem cell transplant [Dataset]. http://doi.org/10.6084/m9.figshare.9778721.v2
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Jonathan Schelfhout; Harold Brown; John A. House; Amit D. Raval
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Objective: This study utilized a large, national US database to explore the impact of Cytomegalovirus (CMV) infection on hospital services utilization and costs during the first 100 days following allogeneic hematopoietic stem cell transplant (allo-HSCT). Methods: This retrospective, observational cohort study used data from the Premier Healthcare database to identify patients undergoing their first (index) allo-HSCT procedure between 1 January 2006 and 31 March 2015. Three subgroups were analyzed according to CMV-related readmissions during the 100-day follow-up (0, 1, or 2+ readmissions) to compare healthcare utilization and costs. Results: A total of 1610 patients (mean age, 50.5 years; 56.9% male) from 52 US hospitals met the inclusion criteria. During follow-up, 212 (13.2%) patients had 1 (n = 161; 10.0%) or 2+ (n = 51; 3.2%) CMV-related readmissions. The mean ± SD number of all follow-up encounters (inpatient admissions and hospital-based outpatient visits) was similar for the no CMV (3.9 ± 3.9), 1 CMV (3.7 ± 3.9), and 2+ CMV (4.5 ± 3.8) readmission groups (p = .439). Mean total costs of hospital-based healthcare encounters (inpatient admissions and hospital-based outpatient visits) during follow-up were significantly greater in patients who had a CMV readmission ($111,729 [1 CMV readmission]; $184,021 [2+ CMV readmissions]) compared to those without a CMV readmission ($46,064; p 

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Eric Gluck; H. Bryant Nguyen; Kishore Yalamanchili; Margaret McCusker; Jaya Madala; Frank A. Corvino; Xuelian Zhu; Robert Balk (2023). Cohort selection from the Premier Healthcare Database. [Dataset]. http://doi.org/10.1371/journal.pone.0205924.t001

Cohort selection from the Premier Healthcare Database.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 2, 2023
Dataset provided by
PLOS ONE
Authors
Eric Gluck; H. Bryant Nguyen; Kishore Yalamanchili; Margaret McCusker; Jaya Madala; Frank A. Corvino; Xuelian Zhu; Robert Balk
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Cohort selection from the Premier Healthcare Database.

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