Browsing by Author "Mulkey, Malissa"

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    Delirium Detection using GAMMA Wave and Machine Learning: A Pilot Study
    (Wiley, 2022) Mulkey, Malissa; Albanese, Thomas; Kim, Sunghan; Huang, Huyanting; Yang, Baijain; School of Nursing
    Delirium occurs in as many as 80% of critically ill older adults and is associated with increased long-term cognitive impairment, institutionalization, and mortality. Less than half of delirium cases are identified using currently available subjective assessment tools. Electroencephalogram (EEG) has been identified as a reliable objective measure but has not been feasible. This study was a prospective pilot proof-of-concept study, to examine the use of machine learning methods evaluating the use of gamma band to predict delirium from EEG data derived from a limited lead rapid response handheld device. Data from 13 critically ill participants aged 50 or older requiring mechanical ventilation for more than 12 h were enrolled. Across the three models, accuracy of predicting delirium was 70 or greater. Stepwise discriminant analysis provided the best overall method. While additional research is needed to determine the best cut points and efficacy, use of a handheld limited lead rapid response EEG device capable of monitoring all five cerebral lobes of the brain for predicting delirium hold promise.
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    Hospital value–based purchasing: How acute care advanced practice nurses demonstrate value
    (Wolters Kluwer, 2021-09-17) Constable, Mark; Mulkey, Malissa; Aucoin, Julia; School of Nursing
    Hospital value–based purchasing (HVBP) is a budget neutral initiative from the Centers for Medicare & Medicaid Services designed to adjust the hospital payment system based on health care quality data. Hospital value–based purchasing is designed to promote improved clinical outcomes and better patient experience in the acute care setting. Advanced practice registered nurses (APRNs) in the acute care setting are instrumental to the success of health care institutions under the current payer model in the United States health care system. When APRNs use their advanced knowledge and leadership skills to champion quality improvement and patient experience projects, they may increase financial reimbursement within the HVBP system, thus demonstrating value to the health care institution. Four basic steps could help APRNs demonstrate value to the organization, understand the standard, evaluate your performance compared with the standard, identify opportunities, and implement projects or participate in projects. This article provides a broad overview of the HVBP structure and describes how APRNs can positively influence performance measures, thereby potentially increasing hospital reimbursement.
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    Relationship Among Clinically Obtained Biomarkers of Inflammation, Hypercoagulability, and Macrophage Activation, and Delirium in Critically Ill Patients With COVID-19
    (Wolters Kluwer, 2023-01-18) Khan, Sikandar H.; Perkins, Anthony J.; Chi, Rosalyn; Seyffert, Sarah; Conrad, Peter; Lindroth, Heidi; Wang, Sophia; Mulkey, Malissa; Gao, Sujuan; Khan, Babar; Medicine, School of Medicine
    Critically ill patients with COVID-19 experience high rates of delirium and coma. Whether delirium occurs through novel mechanisms in COVID-19 is not known. We analyzed the relationship among biomarkers of inflammation (C-reactive protein [CRP]), hypercoagulability (d-dimer), and lung macrophage activation (ferritin), and the primary composite outcome of delirium/coma next day. We also measured associations between biomarkers and next day delirium and coma independently, and delirium severity. Design: Retrospective, observational cohort study. Setting: ICUs at two large, urban, academic referral hospitals. Patients: All consecutive adult patients admitted to the ICU from March 1, 2020, to June 7, 2020, with COVID-19 with clinical biomarkers and delirium assessments performed. Interventions: None. Measurements and main results: Daily concentrations of CRP, d-dimer, and ferritin were obtained. Coma (assessed by Richmond Agitation-Sedation Scale) and delirium (assessed by Confusion Assessment Method for the ICU/Confusion Assessment Method for the ICU-7) were measured bid. A cohort of 197 ICU patients with COVID-19 were included. Higher d-dimer (odds ratio [OR], 1.57; 95% CI, 1.17-2.12; p < 0.01) and ferritin quartiles (OR, 1.36; 95% CI, 1.02-1.81; p < 0.01) were associated with greater odds of the composite outcome of delirium/coma next day. d-dimer was associated with greater odds of next day delirium (OR, 1.49; 95% CI, 1.14-1.94; p < 0.01) and coma independently (OR, 1.52; 95% CI, 1.08-2.14; p = 0.017). Higher ferritin quartiles were associated with greater odds of next day delirium (OR, 1.33; 95% CI, 1.04-1.70; p = 0.026) and coma independently (OR, 1.59; 95% CI, 1.14-2.23; p < 0.01). Higher CRP quartiles were associated with coma (OR, 1.36; 95% CI, 1.03-1.79; p = 0.030) and delirium severity the next day (β = 0.30; se, 0.07; p ≤ 0.01). Conclusions: Our hypothesis-generating study found d-dimer and ferritin were associated with delirium/coma the following day, as well as delirium and coma independently. CRP was associated with next day coma and delirium severity. Larger studies to validate these results are needed.