Evidence map›Paper›PMID 28485014›Full record

ArticlePharmacoepidemiology and drug safety2017

Evaluation of algorithms to identify delirium in administrative claims and drug utilization database.

Dae Hyun Kim, Jung Lee, Caroline A Kim, Krista F Huybrechts, Brian T Bateman, Elisabetta Patorno, Edward R Marcantonio

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Observational
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  15. Cholecystitis Treatment and Outcomes Among People Living With Dementia.Journal of the American Geriatrics Society · 2025
    Article
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  17. Initiation and Persistence of Antipsychotic Medications at Hospital Discharge Among Community-Dwelling Veterans With Dementia.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2025
    Article
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dae Hyun KimDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7290-6838
Jung LeeDivision of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Caroline A KimDivision of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Krista F HuybrechtsDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Brian T BatemanDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Elisabetta PatornoDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Edward R MarcantonioDivision of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
The Role of Inflammation in the Pathophysiology of Delirium and its Associated Long-Term Cognitive DeclineP01AG031720 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI INOUYE, SHARON K. · 2010 to 2022
$26.7M
Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
READI-SET-GO: Researching Efficient Approaches to Delirium Identification - Sustaining Effective Translation to create Gero-friendly OrganizationsR01AG030618 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI DONNA Marie FICK, EDWARD R MARCANTONIO · 2008 to 2026
$7.9M
Training Program in Cardiovascular ResearchT32HL007374 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI MITTLEMAN, MURRAY A · 1985 to 2019
$7.9M
Mid-Career Mentoring Award for Patient-Oriented Research in AgingK24AG035075 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI MARCANTONIO, EDWARD R · 2010 to 2021
$1.9M
Improved methods to assess the comparative safety of new psychiatric medicationsK01MH099141 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI HUYBRECHTS, KRISTA F · 2013 to 2017
$882k
Comparative safety & effectiveness of antihypertensive medications in pregnancyK08HD075831 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BATEMAN, BRIAN THOMAS · 2013 to 2017
$717k
Development and Validation of a Frailty Index Using Claims Data for Pharmacoepidemiologic Studies in Older AdultsK08AG051187 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI KIM, DAE HYUN · 2015 to 2017
$636k
NCATS NIH HHS KL2 TR001100NCATS NIH HHS UL1 TR001102NHLBI NIH HHS T32 HL007374NIA NIH HHS K08 AG051187NIA NIH HHS K24 AG035075NIA NIH HHS P01 AG031720NIA NIH HHS R01 AG030618NICHD NIH HHS K08 HD075831NIMH NIH HHS K01 MH099141
6 · The paper itself

Abstract

purposeTo evaluate the performance of delirium-identification algorithms in administrative claims and drug utilization data.

methodsWe used data from a prospective study of 184 older adults who underwent aortic valve replacement at a single academic medical center to evaluate the following delirium-identification algorithms: (1) International Classification of Diseases (ICD) diagnosis codes for delirium; (2) antipsychotics use; (3) either ICD diagnosis codes or antipsychotics use; and (4) both ICD diagnosis codes and antipsychotics use. These algorithms were evaluated against a validated bedside assessment, the Confusion Assessment Method, and a validated delirium severity scale, the CAM-S.

resultsDelirium occurred in 66 patients (36%), of which 14 (21%) had hyperactive or mixed features and 15 (23%) had severe delirium. ICD diagnosis codes for delirium were present in 15 patients (8%). Antipsychotics were used in 13 patients (7%). ICD diagnosis codes alone and antipsychotics use alone had comparable sensitivity (18% vs. 18%) and specificity (98% vs. 99%). Defining delirium using either ICD diagnosis codes or antipsychotics use, sensitivity improved to 30% with little change in specificity (97%). This algorithm showed higher sensitivity for hyperactive or mixed delirium (64%) and severe delirium (73%). Requiring both ICD diagnosis codes and antipsychotics use resulted in perfect specificity but low sensitivity (6%).

conclusionDelirium-identification algorithms in claims data have low sensitivity and high specificity. Defining delirium using ICD diagnosis codes or antipsychotics use performs better than considering either type of information alone. This information should inform the design and interpretation of claims-based comparative effectiveness and safety research. Copyright © 2017 John Wiley & Sons, Ltd.

Indexed as

AlgorithmsAgedAged, 80 and overAntipsychotic AgentsCohort StudiesDatabases, PharmaceuticalDeliriumDrug UtilizationFemaleHospitalizationHumansInsurance Claim ReviewInternational Classification of DiseasesMaleProspective StudiesAntipsychotic Agentsantipsychoticscase-detection algorithmclaims datadelirium

Identifiers

PMID28485014
PMCPMC5583076

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.