912: DEVELOPMENT OF A MEDICATION REGIMEN COMPLEXITY SCORING TOOL (MRC-ICU) FOR CRITICALLY ILL PATIENTS

2018 ◽  
Vol 46 (1) ◽  
pp. 439-439
Author(s):  
Andrea Newsome ◽  
Margaret Oates ◽  
Morgan Gwynn ◽  
Jennifer Waller
2019 ◽  
Vol 76 (Supplement_2) ◽  
pp. S34-S40 ◽  
Author(s):  
Morgan E Gwynn ◽  
Margaret O Poisson ◽  
Jennifer L Waller ◽  
Andrea Sikora Newsome

Abstract Purpose The purpose of this study was to develop and validate a novel medication regimen complexity–intensive care unit (MRC-ICU) scoring tool in critically ill patients and to correlate MRC with illness severity and patient outcomes. Methods This study was a single-center, retrospective observational chart review of adults admitted to the medical ICU (MICU) between November 2016 and June 2017. The primary aim was the development and internal validation of the MRC-ICU scoring tool. Secondary aims included external validation of the MRC-ICU and exploration of relationships between medication regimen complexity and patient outcomes. Exclusion criteria included a length of stay of less than 24 hours in the MICU, active transfer, or hospice orders at 24 hours. A total of 130 patient medication regimens were used to test, modify, and validate the MRC-ICU tool. Results The 39-line item medication regimen complexity scoring tool was validated both internally and externally. Convergent validity was confirmed with total medications (p < 0.0001). Score discriminant validity was confirmed by lack of association with age (p = 0.1039) or sex (p = 0.7829). The MRC-ICU score was significantly associated with ICU length of stay (p = 0.0166), ICU mortality (p = 0.0193), and patient acuity (p < 0.0001). Conclusion The MRC-ICU scoring tool was validated and found to correlate with length of stay, inpatient mortality, and patient acuity.


2020 ◽  
pp. 106002802095904
Author(s):  
Mohammad A. Al-Mamun ◽  
Todd Brothers ◽  
Andrea Sikora Newsome

Introduction: The Medication Regimen Complexity -Intensive Care Unit (MRC-ICU) is the first tool for measuring medication regimen complexity in critically ill patients. This study tested machine learning (ML) models to investigate the relationship between medication regimen complexity and patient outcomes. Methods: This study was a single-center, retrospective observational evaluation of 130 adults admitted to the medical ICU. The MRC-ICU score was utilized to improve the inpatient model’s prediction accuracy. Three models were proposed: model I, demographic data without medication data; model II, demographic data and medication regimen complexity variables; and model III: demographic data and the MRC-ICU score. A total of 6 ML classifiers was developed: k-nearest neighbor (KNN), naïve Bayes (NB), random forest, support vector machine, neural network, and logistic classifier (LC). They were developed and tested using electronic health record data to predict inpatient mortality. Results: The results demonstrated that adding medication regimen complexity variables (model II) and the MRC-ICU score (model III) improved inpatient mortality prediction.. The LC outperformed the other classifiers (KNN and NB), with an overall accuracy of 83%, sensitivity (Se) of 87%, specificity of 67%, positive predictive value of 93%, and negative predictive value of 46%. The APACHE III score and the MRC-ICU score at the 24-hour interval were the 2 most important variables. Conclusion and Relevance: Inclusion of the MRC-ICU score improved the prediction of patient outcomes on the previously established APACHE III score. This novel, proof-of-concept methodology shows promise for future application of the MRC-ICU scoring tool for patient outcome predictions.


2021 ◽  
pp. 089719002199979
Author(s):  
William J. Olney ◽  
Aaron M. Chase ◽  
Sarah A. Hannah ◽  
Susan E. Smith ◽  
Andrea Sikora Newsome

Background: Critically ill patients are at increased risk for fluid overload, but objective prediction tools to guide clinical decision-making are lacking. The MRC-ICU scoring tool is an objective tool for measuring medication regimen complexity. Objective: To evaluate the relationship between MRC-ICU score and fluid overload in critically ill patients. Methods: In this multi-center, retrospective, observational study, the relationship between MRC-ICU and the risk of fluid overload was examined. Patient demographics, fluid balance at day 3 of ICU admission, MRC-ICU score at 24 hours, and clinical outcomes were collected from the medical record. The primary outcome was relationship between MRC-ICU and fluid overload. To analyze this, MRC-ICU scores were divided into tertiles (low, moderate, high), and binary logistic regression was performed. Linear regression was performed to determine variables associated with positive fluid balance. Results: A total of 125 patients were included. The median MRC-ICU score at 24 hours of ICU admission for low, moderate, and high tertiles were 9, 15, and 21, respectively. For each point increase in MRC-ICU, a 13% increase in the likelihood of fluid overload was observed (OR 1.128, 95% CI 1.028-1.238, p = 0.011). The MRC-ICU score was positively associated with fluid balance at day 3 (β-coefficient 218.455, 95% CI 94.693-342.217, p = 0.001) when controlling for age, gender, and SOFA score. Conclusions: Medication regimen complexity demonstrated a weakly positive correlation with fluid overload in critically ill patients. Future studies are necessary to establish the MRC-ICU as a predictor to identify patients at risk of fluid overload.


2019 ◽  
Vol 76 (Supplement_4) ◽  
pp. S92-S95 ◽  
Author(s):  
Andrea Sikora Newsome ◽  
Daniel Anderson ◽  
Morgan E Gwynn ◽  
Jennifer L Waller

Abstract Purpose The purpose of this study was to characterize dynamic changes in medication regimen complexity over time in critically ill adults and to validate a modified version of the medication regimen complexity–intensive care unit (MRC-ICU) scoring tool. Summary A single-center, retrospective, observational chart review was conducted with a primary aim of assessing changes in medication regimen complexity over time, as measured by both the 39-item MRC-ICU scoring tool and a modified version (the mMRC-ICU) containing just 17 items. Secondary aims included validation of the mMRC-ICU and exploration of relationships between medication regimen complexity and ICU length of stay (LOS), inpatient mortality, and patient acuity. Adults admitted to a medical ICU from November 2016 through June 2017 were included. The medication regimens of a total of 130 patients were scored in order to test, modify, and validate the MRC-ICU and mMRC-ICU tools. The modified tool was validated by evaluating correlation of mMRC-ICU scores with MRC-ICU scores and with patient outcomes including patient acuity, ICU LOS, and inpatient mortality. mMRC-ICU scores were collected at 24 and 48 hours after admission and at ICU discharge to evaluate changes over time. Significant changes in medication regimen complexity over time were observed, with the highest scores observed at 24 hours after admission. Conclusion Medication regimen complexity may provide valuable insights into pharmacist activity and resource allocation. Further validation of the MRC-ICU and mMRC-ICU scoring tools in other critically ill populations and at external sites is required.


2020 ◽  
Vol 77 (6) ◽  
pp. 474-478
Author(s):  
Andrea Sikora Newsome ◽  
Susan E Smith ◽  
William J Olney ◽  
Timothy W Jones

Abstract Background The MRC-ICU, a novel regimen complexity scoring tool, provides an objective measure of medication regimen complexity in critically ill patients. The MRC-ICU may have the ability to evaluate the impact of critical care pharmacists on patient outcomes but requires further validation. The objective of this study was to confirm the external validity of the MRC-ICU scoring tool at multiple institutions and intensive care unit (ICU) settings. Methods This was a multicenter, prospective, observational study. The electronic medical record was reviewed to collect patient demographics and patient outcomes, and the medication administration record was reviewed to collect MRC-ICU scores at 24 hours, 48 hours, and ICU discharge. Validation was performed by assessing convergent and divergent validity of the score. Spearman rank-order correlation was used to determine correlation. Results A total of 230 patients were evaluated across both centers in both medical ICUs and surgical ICUs. Differences between the original center and the new site included that total number of orders (29 vs 126; P &lt; 0.001) and total number of medication orders (17 vs 36; P &lt; 0.001) were higher at the new site, whereas the original site had higher overall MRC-ICU scores (14 vs 11; P = 0.004). The MRC-ICU showed appropriate convergent validity with number of orders and medication orders (all P &lt; 0.001) and appropriate divergent validity with no significant correlation found between age, weight, or gender (all P &gt; 0.05). Conclusions External validity of the MRC-ICU has been confirmed through evaluation at an external site and in the surgical ICU population. The MRC-ICU scoring tool requires prospective evaluation to provide objective data regarding optimal pharmacist use.


2021 ◽  
Vol 50 (1) ◽  
pp. 107-107
Author(s):  
Christy Forehand ◽  
Hanna Azimi ◽  
Logan Johnson ◽  
Emily Loudermilk ◽  
Alfred Awuah ◽  
...  

2020 ◽  
Vol 49 (1) ◽  
pp. 267-267
Author(s):  
Aaron Chase ◽  
William Olney ◽  
Susan Smith ◽  
Andrea Newsome ◽  
Sarah Hannah

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