Literature DB >> 20233574

[Spanish version of the CAM-ICU (Confusion Assessment Method for the Intensive Care Unit). Pilot study of validation].

A C Toro1, L M Escobar, J G Franco, J L Díaz-Gómez, J F Muñoz, F Molina, J Bejarano, D Yepes, E Navarro, A García, Wesley E Ely, A Esteban.   

Abstract

OBJECTIVE: To validate the Spanish version of the CAM-ICU.
DESIGN: Validation study. The inter-rater reliability and validity were evaluated using a blind comparison with the DSM-IVTR criteria (reference standard) in a group of patients hospitalized in an Intensive Care Unit (ICU).
SETTING: Medical-surgical ICU. PATIENTS: 129 adults with RASS >-4 score, within the 24-48 h of ICU admission. Independent application of the CAM-ICU by two intensive care specialists and evaluation by a psychiatrist using the DSM-IVTR criteria for delirium.
RESULTS: Prevalence of delirium in the sample was 26.4%, this being and 48.3% in the 29 patients who received mechanical ventilation. Inter-rater reliability in the whole sample according to the Kappa index was 0.792 (95% CI 0.662-0.922, p<0.001) and in those who received mechanical ventilation was 0.726 (95% CI 0.487-0.965, p<0.001). The sensitivity, specificity, positive predicted value (PPV), negative predicted value (NPV), positive likelihood ratio (+LR), and negative likelihood ratio (-LR) were 79.4% (95% CI 63.2-89.7%); 97.9% (95% CI 92.6-99.4%); 93.1% (95% CI 78.0-98.1%); 93.0% (95% CI 86.3-96.6%); 37.72 (95% CI 9.47-150.20) and 0.21(95% CI 0.11-0.41), respectively, in the whole sample. In mechanically-ventilated patients, sensitivity, specificity, PPV, NPV, +LR and -LR were 92.9% (95% CI 68.5-98.7%); 86.7% (95% CI 62.1-96.3%); 86.7% (95% CI 62.1-96.3%); 92.9% (95% CI 68.5-98.7%); 6.96(95% CI 1.90-25.51) and 0.08 (95% CI 0.01-0.55), respectively.
CONCLUSION: The Spanish version of the CAM-ICU is reliable. Its sensitivity, specificity and predictive values should be considered good. Copyright 2009 Elsevier España, S.L. y SEMICYUC. All rights reserved.

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Year:  2009        PMID: 20233574     DOI: 10.1016/j.medin.2009.07.002

Source DB:  PubMed          Journal:  Med Intensiva        ISSN: 0210-5691            Impact factor:   2.491


  12 in total

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Authors:  S Jean Hsieh; Graciela J Soto; Aluko A Hope; Ana Ponea; Michelle N Gong
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2.  Occurrence and Practices for Pain, Agitation, and Delirium in Intensive Care Unit Patients.

Authors:  Carmen Mabel Arroyo-Novoa; Milagros I Figueroa-Ramos; Kathleen A Puntillo
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Review 4.  Implementing delirium screening in the ICU: secrets to success.

Authors:  Nathan E Brummel; Eduard E Vasilevskis; Jin Ho Han; Leanne Boehm; Brenda T Pun; E Wesley Ely
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5.  Delirium in the cardiovascular ICU: exploring modifiable risk factors.

Authors:  John A McPherson; Chad E Wagner; Leanne M Boehm; J David Hall; Daniel C Johnson; Leanna R Miller; Kathleen M Burns; Jennifer L Thompson; Ayumi K Shintani; E Wesley Ely; Pratik P Pandharipande; Pratik P Pandhvaripande
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6.  Delirium in the ICU: an overview.

Authors:  Rodrigo Cavallazzi; Mohamed Saad; Paul E Marik
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Review 7.  The confusion assessment method for the intensive care unit (CAM-ICU) and intensive care delirium screening checklist (ICDSC) for the diagnosis of delirium: a systematic review and meta-analysis of clinical studies.

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8.  The validity and reliability of the Portuguese versions of three tools used to diagnose delirium in critically ill patients.

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9.  Validity and reliability of the Thai version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU).

Authors:  Tanyong Pipanmekaporn; Nahathai Wongpakaran; Sirirat Mueankwan; Piyawat Dendumrongkul; Kaweesak Chittawatanarat; Nantiya Khongpheng; Nongnut Duangsoy
Journal:  Clin Interv Aging       Date:  2014-05-29       Impact factor: 4.458

10.  A Tunisian version of the confusion assessment method for the intensive care unit (CAM-ICU): translation and validation.

Authors:  Imen Ben Saida; Saiid Kortli; Badii Amamou; Nawres Kacem; Mariem Ghardallou; Eugene Wesley Ely; Helmi Ben Saad; Mohamed Boussarsar
Journal:  BMC Psychiatry       Date:  2020-05-06       Impact factor: 3.630

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