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  • Data from "The prediction of late-onset preeclampsia: Results from a longitudinal proteomics study"
    WSU Dataset

    Authors
    Offer Erez
    Roberto Romero
    Eli Maymon
    Piya Chaemsaithong
    6 more author(s)...
    Description

    Preeclampsia, a frequent complication of pregnancy that affects 5%-8% of all gestations, is a leading cause of maternal, and perinatal morbidity and mortality. Over the last decade, it has become clear that preeclampsia is not a single disorder but a syndrome with many etiologies, such as abnormal placentation, utero-placental ischemia, vascular disorders of the placenta, insulin resistance, systemic maternal inflammation, endothelial dysfunction, and imbalance of angiogenic and anti-angiogenic proteins. A case-control longitudinal study was conducted, including 90 patients with normal pregnancies and 76 patients with late-onset preeclampsia (diagnosed at ≥34 weeks of gestation). Maternal plasma samples were collected throughout gestation (normal pregnancy: 2–6 samples per patient, median of 2; late-onset preeclampsia: 2–6, median of 5). The abundance of 1,125 proteins was measured using an aptamers-based proteomics technique. Protein abundance in normal pregnancies was modeled using linear mixed-effects models to estimate mean abundance as a function of gestational age. Data was then expressed as multiples of-the-mean (MoM) values in normal pregnancies. Multi-marker prediction models were built using data from one of five gestational age intervals.

    Subject
    Medicine & Health
    Timeframe
    2007 - 2013
    Access Rights
    Free to all
  • American College of Surgeons National Surgical Quality Improvement Program Pediatric® Participant Use Data File

    Alternate Title(s)
    ACS NSQIP PUF
    Description

    The Pediatric Participant Use Data File (PUF) is a Health Insurance Portability and Accountability Act (HIPAA)-compliant data file containing cases submitted to the American College of Surgeons National Surgical Quality Improvement Program Pediatric® (ACS NSQIP Pediatric®). The PUF contains patient-level, aggregate data and does not identify hospitals, health care providers, or patients. The ACS NSQIP Pediatric collects data on approximately 120 variables, including preoperative risk factors, intraoperative variables, and 30-day postoperative mortality and morbidity outcomes for patients undergoing major surgical procedures in both the inpatient and outpatient setting. The intended purpose of this file is to provide researchers at participating sites with a data resource they can use to investigate and advance the quality of care delivered to the surgical patient through the analysis of cases captured by ACS NSQIP Pediatric. Additional procedure-specific PUFs are available for appendectomy, spinal fusion, and cerebrospinal fluid shunt.

    Subject
    Medicine & Health
    Geographic Coverage
    United States
    Timeframe
    2012 - Present
    Access Rights
    Application required

 

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