Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/29609
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dc.contributor.authorYoung, Marcus-
dc.contributor.authorHolmes, Natasha E-
dc.contributor.authorKishore, Kartik-
dc.contributor.authorMarhoon, Nada-
dc.contributor.authorAmjad, Sobia-
dc.contributor.authorSerpa Neto, Ary-
dc.contributor.authorBellomo, Rinaldo-
dc.date2022-03-23-
dc.date.accessioned2022-03-31T22:49:37Z-
dc.date.available2022-03-31T22:49:37Z-
dc.date.issued2022-
dc.identifier.citationIntensive care medicine 2022; 48(5): 559-569en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/29609-
dc.description.abstractTo compare the prevalence, characteristics, drug treatment for delirium, and outcomes of patients with Natural Language Processing (NLP) diagnosed behavioral disturbance (NLP-Dx-BD) vs Confusion Assessment Method for intensive care unit (CAM-ICU) positivity. In three combined medical-surgical ICUs, we obtained data on demographics, treatment with antipsychotic medications, and outcomes. We applied NLP to caregiver progress notes to diagnose behavioral disturbance and analyzed simultaneous CAM-ICU. We assessed 2313 patients with a median lowest Richmond Agitation-Sedation Scale (RASS) score of - 2 (- 4.0 to - 1.0) and median highest RASS score of 1 (0 to 1). Overall, 1246 (53.9%) patients were NLP-Dx-BD positive (NLP-Dx-BDpos) and 578 (25%) were CAM-ICU positive (CAM-ICUpos). Among NLP-Dx-BDpos patients, 539 (43.3%) were also CAM-ICUpos. In contrast, among CAM-ICUpos patients, 539 (93.3%) were also NLP-Dx-BDpos. The use of antipsychotic medications was highest in patients in the CAM-ICUpos and NLP-Dx-BDpos group (24.3%) followed by the CAM-ICUneg and NLP-Dx-BDpos group (10.5%). In NLP-Dx-BDneg patients, antipsychotic medication use was lower at 5.1% for CAM-ICUpos and NLP-Dx-BDneg patients and 2.3% for CAM-ICUneg and NLP-Dx-BDneg patients (overall P < 0.001). Regardless of CAM-ICU status, after adjustment and on time-dependent Cox modelling, NLP-Dx-BD was associated with greater antipsychotic medication use. Finally, regardless of CAM-ICU status, NLP-Dx-BDpos patients had longer duration of ICU and hospital stay and greater hospital mortality (all P < 0.001). More patients were NLP-Dx-BD positive than CAM-ICU positive. NLP-Dx-BD and CAM-ICU assessment describe partly overlapping populations. However, NLP-Dx-BD identifies more patients likely to receive antipsychotic medications. In the absence of NLP-Dx-BD, treatment with antipsychotic medications is rare.en
dc.language.isoeng-
dc.subjectCritical illnessen
dc.subjectDeliriumen
dc.subjectIntensive careen
dc.subjectOlanzapineen
dc.subjectQuetiapineen
dc.titleNatural language processing diagnosed behavioral disturbance vs confusion assessment method for the intensive care unit: prevalence, patient characteristics, overlap, and association with treatment and outcome.en
dc.typeJournal Articleen
dc.identifier.journaltitleIntensive care medicineen
dc.identifier.affiliationAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia..en
dc.identifier.affiliationData Analytics Research and Evaluation (DARE) Centreen
dc.identifier.affiliationDepartment of Critical Care, School of Medicine, The University of Melbourne, Parkville, Melbourne, VIC, Australia..en
dc.identifier.affiliationSchool of Computing and Information Systems, The University of Melbourne, Parkville, Melbourne, VIC, Australia..en
dc.identifier.affiliationIntensive Careen
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/35322288/en
dc.identifier.doi10.1007/s00134-022-06650-zen
dc.type.contentTexten
dc.identifier.orcidhttp://orcid.org/0000-0002-1650-8939en
dc.identifier.orcid0000-0002-6195-660Xen
dc.identifier.orcid0000-0001-8501-4054en
dc.identifier.orcid0000-0003-1520-9387en
dc.identifier.pubmedid35322288-
local.name.researcherBellomo, Rinaldo
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.grantfulltextnone-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
crisitem.author.deptInfectious Diseases-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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