Publications by authors named "L J Hernandez-Pastor"

Objective: To assess the predictive accuracy of code-based algorithms for identifying invasive ( disease (IED) among inpatient encounters in US hospitals.

Methods: The PINC AI Healthcare Database (10/01/2015-03/31/2020) was used to assess the performance of six published code-based algorithms to identify IED cases among inpatient encounters. Case-confirmed IEDs were identified based on microbiological confirmation of in a normally sterile body site (Group 1) or in urine with signs of sepsis (Group 2).

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Background: Invasive extraintestinal pathogenic Escherichia coli disease (IED) can lead to severe outcomes, particularly among older adults. However, the clinical burden of IED in the U.S.

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Although invasive disease (IED) can lead to severe clinical outcomes, little is known about the associated medical resource use and cost burden of IED in US hospitals. To comprehensively describe medical resource use and costs associated with IED during the initial IED event and over the subsequent 12 months. Patients aged 60 years or older with 1 or more IED encounters were identified from the PINC AI Healthcare US hospital database (October 1, 2015, to March 31, 2020).

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Respiratory syncytial virus (RSV) is a leading cause of acute respiratory infection (ARI) in older adults. This study used a static, cohort-based decision-tree model to estimate the public health and economic impact of vaccination against RSV in Belgians aged ≥60 years compared with no vaccination for different vaccine duration of protection profiles from a healthcare payer perspective. Three vaccine protection durations were compared (1, 3, and 5 years), and several sensitivity and scenario analyses were performed.

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