Your browser doesn't support javascript.
loading
Predicting hospital mortality and length of stay: A prospective cohort study comparing the Intensive Care Delirium Screening Checklist versus Confusion Assessment Method for the Intensive Care Unit.
Li, Hsiu-Ching; Chen, Cheryl Chia-Hui; Yeh, Tony Yu-Chang; Liao, Shih-Cheng; Hsu, Adrian-Shengchun; Wei, Yu-Chung; Shun, Shiow-Ching; Ku, Shih-Chi; Inouye, Sharon K.
Afiliação
  • Li HC; Department of Nursing, Chang Gung University of Science and Technology, Taoyuan, Taiwan.
  • Chen CC; Department of Nursing, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan.
  • Yeh TY; Department of Anesthesiology, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan.
  • Liao SC; Department of Psychiatry, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan.
  • Hsu AS; Department of Psychiatry, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan.
  • Wei YC; Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua, Taiwan.
  • Shun SC; School of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Ku SC; Department of Internal Medicine, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan. Electronic address: scku1015@gmail.com.
  • Inouye SK; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA.
Aust Crit Care ; 36(3): 378-384, 2023 05.
Article em En | MEDLINE | ID: mdl-35272910
ABSTRACT

OBJECTIVE:

The objective of this study was to compare two tools, the Intensive Care Delirium Screening Checklist (ICDSC) and Confusion Assessment Method for the intensive care unit (ICU) (CAM-ICU), for their predictive validity for outcomes related to delirium, hospital mortality, and length of stay (LOS).

METHODS:

The prospective study conducted in six medical ICUs at a tertiary care hospital in Taiwan enrolled consecutive patients (≥20 years) without delirium at ICU admission. Delirium was screened daily using the ICDSC and CAM-ICU in random order. Arousal was assessed by the Richmond Agitation-Sedation Scale (RASS). Participants with any one positive result were classified as ICDSC- or CAM-ICU-delirium groups.

RESULTS:

Delirium incidence evaluated by the ICDSC and CAM-ICU were 69.1% (67/97) and 50.5% (49/97), respectively. Although the ICDSC identified 18 more cases as delirious, substantial concordance (κ = 0.63; p < 0.001) was found between tools. Independent of age, Acute Physiology and Chronic Health Evaluation II score, and Charlson Comorbidity Index, both ICDSC- and CAM-ICU-rated delirium significantly predicted hospital mortality (adjusted odds ratio 4.93; 95% confidence interval [CI]1.56 to 15.63 vs. 2.79; 95% CI 1.12 to 6.97, respectively), and only the ICDSC significantly predicted hospital LOS with a mean of 17.59 additional days compared with the no-delirium group. Irrespective of delirium status, a sensitivity analysis of normal-to-increased arousal (RASS≥0) test results did not alter the predictive ability of ICDSC- or CAM-ICU-delirium for hospital mortality (adjusted odds ratio 2.97; 95% CI 1.06 to 8.37 vs. 3.82; 95% CI 1.35 to 10.82, respectively). With reduced arousal (RASS<0), neither tool significantly predicted mortality or LOS.

CONCLUSIONS:

The ICDSC identified more delirium cases and may have higher predictive validity for mortality and LOS than the CAM-ICU. However, arousal substantially affected performance. Future studies may want to consider patients' arousal when deciding which tool to use to maximise the effects of delirium identification on patient mortality.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lista de Checagem / Unidades de Terapia Intensiva Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lista de Checagem / Unidades de Terapia Intensiva Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan