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Table 1 Characteristics of intensive care unit (ICU) patients treated for alcohol withdrawal syndrome (AWS)

From: Should the CIWA-Ar be the standard monitoring strategy for alcohol withdrawal syndrome in the intensive care unit?

  All
(n = 97)
Age years, mean (sd) 49.9 (12.0)
Male, no. (%) 79 (81.4)
Race, no. (%)
 American Indian/Alaska Native 11 (11.3)
 Black 11 (11.3)
 White 70 (72.2)
 Other 5 (5.2)
Latino/Hispanic Ethnicity, no. (%) 11 (11.3)
Non-English primary language, no. (%) 7 (7.2)
Single, no. (%) 75 (77.3)
Homeless, no. (%) 26 (26.8)
Admission Severity of Illness, no. (%)
 Extreme 34 (35.1)
 Major 37 (38.1)
 Moderate 24 (24.7)
 Minor 2 (2.1)
Intubated (“breathing tube” for mechanical ventilation) 37 (38.1)
Prior-year hospitalization with AWS, no. (%) 19 (19.6)
Positive serum/urine alcohol level,a no. (%) 58 (59.8)
AWS was the primary reason for admission, no. (%) 5 (5.2)
Admitting service, no. (%)
 Medical ICU 49 (50.5)
 Trauma ICU 24 (24.7)
 Neurological ICU 24 (24.7)
Admissionb CIWA-Ar assessment, no. (%) 54 (55.7)
Admissionb CIWA-Ar category, no. (%)c
 Mild AWS (CIWA-Ar score ≤ 8) 28 (51.9)
 Moderate AWS (CIWA-Ar score 9–19) 20 (37.0)
 Severe AWS (CIWA-Ar score ≥ 20) 6 (11.1)
Admissionb RASS assessment, no. (%) 91 (93.8)
Admissionb RASS category, no. (%)d
 Oversedation (RASS score − 3 to − 5) 34 (37.4)
 Optimal sedation (RASS score − 2 to 0) 31 (34.1)
 Undersedation (RASS score + 1 to + 4) 26 (28.6)
  1. CIWA-Ar Clinical Institute Withdrawal Assessment for Alcohol-Revised, RASS Richmond Agitation-Sedation Scale
  2. aAssessment completed within 24 h of hospital presentation
  3. bAssessment completed within 24 h of ICU admission
  4. cDenominator used to calculate percentages was the number of patients with a CIWA-Ar assessment (n = 54)
  5. dDenominator used to calculate percentages was the number of patients with a RASS assessment (n = 91)
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