Evidence map›Paper›PMID 35140285›Full record

Observational studyScientific reports2022

Current status of delirium assessment tools in the intensive care unit: a prospective multicenter observational survey.

Kenzo Ishii, Kosuke Kuroda, Chika Tokura, Masaaki Michida, Kentaro Sugimoto, Tetsufumi Sato, Tomoki Ishikawa, Shingo Hagioka, Nobuki Manabe, Toshiaki Kurasako and 11 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2023
    Article
  10. Review
  11. Article
  12. ICU Delirium in Cardiac Patients.Methodist DeBakey cardiovascular journal · 2023
    Review
  13. Article
  14. Review
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

21 authors.

Kenzo IshiiDepartment of Anesthesiology, Intensive Care Unit, Fukuyama City Hospital, 5-23-1 Zao-cho, Fukuyama, Hiroshima, 721-8511, Japan. keishii1101@gmail.com.ORCID 0000-0003-4762-3697
Kosuke KurodaDepartment of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.ORCID 0000-0002-7664-764X
Chika TokuraDepartment of Anesthesia, Kagawa Rosai Hospital, Marugame, Kagawa, Japan.
Masaaki MichidaDepartment of Anesthesiology and Intensive Care Medicine, Kawasaki Medical School General Medical Center, Okayama, Japan.
Kentaro SugimotoDepartment of Anesthesia, Chikamori Hospital, Kochi, Japan.
Tetsufumi SatoDepartment of Anesthesia and Intensive Care, National Cancer Center Hospital, Tokyo, Japan.
Tomoki IshikawaDepartment of Anesthesia, Okayama Red Cross General Hospital, Okayama, Japan.
Shingo HagiokaDepartment of Anesthesia, Tsuyama Chuo Hospital, Tsuyama, Okayama, Japan.
Nobuki ManabeDepartment of Anesthesia, Saiseikai Imabari Hospital, Imabari, Ehime, Japan.
Toshiaki KurasakoDepartment of Anesthesiology, Japanese Red Cross Society Himeji Hospital, Himeji, Hyogo, Japan.
Takashi GotoDepartment of Anesthesia, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Japan.
Masakazu KimuraDepartment of Anesthesia, Okayama City Hospital, Okayama, Japan.
Kazuharu SunamiDepartment of Internal Medicine, Okayama Kyoritsu Hospital, Okayama, Japan.
Kazuyoshi InoueDepartment of Anesthesia, Kagawa Prefectural Central Hospital, Takamatsu, Kagawa, Japan.
Takashi TsukijiDepartment of Anesthesia, Takasago Municipal Hospital, Takasago, Hyogo, Japan.
Takeshi YasukawaDepartment of Anesthesia, Okayama Kyokuto Hospital, Okayama, Japan.
Satoshi NogamiDepartment of Anesthesia, National Hospital Organization Okayama Medical Center, Okayama, Japan.
Mitsunori TsukiokiDepartment of Anesthesia, Onomichi Municipal Hospital, Onomichi, Hiroshima, Japan.
Daisuke OkabeDepartment of Anesthesia, Himeji St. Mary's Hospital, Himeji, Hyogo, Japan.
Masaaki TaninoDepartment of Anesthesiology and Intensive Care Medicine, Kawasaki Medical School Hospital, Kurashiki, Okayama, Japan.
Hiroshi MorimatsuDepartment of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.ORCID 0000-0002-6744-0508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delirium is a critical challenge in the intensive care unit (ICU) or high care unit (HCU) setting and is associated with poor outcomes. There is not much literature on how many patients in this setting are assessed for delirium and what tools are used. This study investigated the status of delirium assessment tools of patients in the ICU/HCU. We conducted a multicenter prospective observational study among 20 institutions. Data for patients who were admitted to and discharged from the ICU/HCU during a 1-month study period were collected from each institution using a survey sheet. The primary outcome was the usage rate of delirium assessment tools on an institution- and patient-basis. Secondary outcomes were the delirium prevalence assessed by each institution's assessment tool, comparison of delirium prevalence between delirium assessment tools, delirium prevalence at the end of ICH/HCU stay, and the relationship between potential factors related to delirium and the development of delirium. Result showed that 95% of institutions used the Intensive Care Delirium Screening Checklist (ICDSC) or the Confusion Assessment Method for the ICU (CAM-ICU) to assess delirium in their ICU/HCU, and the remaining one used another assessment scale. The usage rate (at least once during the ICU/HCU stay) of the ICDSC and the CAM-ICU among individual patients were 64.5% and 25.1%, and only 8.2% of enrolled patients were not assessed by any delirium assessment tool. The prevalence of delirium during ICU/HCU stay was 17.9%, and the prevalence of delirium at the end of the ICU/HCU stay was 5.9%. In conclusion, all institutions used delirium assessment tools in the ICU/HCU, and most patients received delirium assessment. The prevalence of delirium was 17.9%, and two-thirds of patients had recovered at discharge from ICU/HCU.Trial registration number: UMIN000037834.

Indexed as

AgedAged, 80 and overChecklistCritical CareDeliriumFemaleHumansIntensive Care UnitsMaleMass ScreeningMiddle AgedOdds RatioPrevalenceProspective StudiesSurveys and Questionnaires

Identifiers

PMID35140285
PMCPMC8828828

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.