2018
DOI: 10.1017/ice.2018.16
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A Generalizable, Data-Driven Approach to Predict Daily Risk ofClostridium difficileInfection at Two Large Academic Health Centers

Abstract: OBJECTIVE An estimated 293,300 healthcare-associated cases of Clostridium difficile infection (CDI) occur annually in the United States. To date, research has focused on developing risk prediction models for CDI that work well across institutions. However, this one-size-fits-all approach ignores important hospital-specific factors. We focus on a generalizable method for building facility-specific models. We demonstrate the applicability of the approach using electronic health records (EHR) from the University … Show more

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Cited by 114 publications
(89 citation statements)
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“…An important limiting factor for clinical deployment of preventative and recurrence reduction therapies is the identification of patients who are at high risk of developing primary or recurrent CDI and who would benefit from these therapies. To achieve this risk stratification, large studies are starting to be performed using medical data for the development of predictive models for primary and recurrent CDI risk during a patient's treatment . If the risk of primary CDI or recurrence can be accurately predicted by microbial, systemic, or intestinal/colonic markers such as specific bacterial community compositions or immune cytokine levels, then the more expensive but effective therapies, such as bezlotoxumab, can be utilized to protect against future CDI.…”
Section: Future Directions: Perspectivesmentioning
confidence: 99%
See 1 more Smart Citation
“…An important limiting factor for clinical deployment of preventative and recurrence reduction therapies is the identification of patients who are at high risk of developing primary or recurrent CDI and who would benefit from these therapies. To achieve this risk stratification, large studies are starting to be performed using medical data for the development of predictive models for primary and recurrent CDI risk during a patient's treatment . If the risk of primary CDI or recurrence can be accurately predicted by microbial, systemic, or intestinal/colonic markers such as specific bacterial community compositions or immune cytokine levels, then the more expensive but effective therapies, such as bezlotoxumab, can be utilized to protect against future CDI.…”
Section: Future Directions: Perspectivesmentioning
confidence: 99%
“…To achieve this risk stratification, large studies are starting to be performed using medical data for the development of predictive models for primary and recurrent CDI risk during a patient's treatment. 136 If the risk of primary CDI or recurrence can be accurately predicted by microbial, systemic, or intestinal/colonic markers such as specific bacterial community compositions or immune cytokine levels, then the more expensive but effective therapies, such as bezlotoxumab, can be utilized to protect against future CDI. This will not only increase the effective treatment of recurrent CDI, but also lower the cost to the healthcare system by targeting only those patients predicted to experience primary or recurrent CDI.…”
Section: Future Directions: Perspectivesmentioning
confidence: 99%
“…We use the same feature extraction pipeline as described in [22]. In particular, we extract high-dimensional feature vectors for each day of a patient's admission from the structured contents of the EHR (e.g., medication, procedures, in-hospital locations etc.).…”
Section: Feature Extractionmentioning
confidence: 99%
“…Request permissions from permissions@acm.org. KDD '18, August [19][20][21][22][23]2018, London, United Kingdom © 2018 Association for Computing Machinery. ACM ISBN 978-1-4503-5552-0/18/08.…”
Section: Introductionmentioning
confidence: 99%
“…Grouping patients by their location in a hospital gives us the opportunity to examine susceptibility and risk of CDI from a population perspective, and calculation of network centrality [6] provides us with context of how inpatient units are connected in our hospital via patient transfers. Individual patient risk of CDI has been explored [12,13,14,15], but population risk of CDI, to our knowledge, has not.…”
Section: Introductionmentioning
confidence: 99%