TY - JOUR
T1 - Risk factors for severe alcohol withdrawal syndrome in an acute hospital population
AU - Benson, George
AU - McCallum, Jacqueline
AU - Roberts, Nicola
N1 - Email from depositing author 10/9/19 - covers reason why authors didn't know of the paper or acceptance (corresponding author deceased).
NR is trying to source the AAM from the journal. ET 13/9/19
Pub date for this issue is July/Sept 2019 - used Sept. 2019 ET 26/8/20 and also assumed last day in month. ET 30/9/20 (Crossref just gives YYYY).
Query sent to journal to confirm acceptance and publication dates. ET 26/8/20
PY - 2019/9/30
Y1 - 2019/9/30
N2 - Background The literature lacks consensus to the factors that increase the risk of a patient developing severe alcohol withdrawal syndrome (SAWS).
Aim The study set out to identify the variables that increase the risk of SAWS in patients who have alcohol dependence syndrome.
Methods A case–control study was designed to investigate the variables associated with SAWS in an acute hospital setting. Three hundred eighty-two case and 382 control patients were randomly selected retrospectively from referrals to the acute addiction liaison nursing service during a 12-month period (January 1, 2015, to December 31, 2015). Statistical significance (p < .05) and association with SAWS were calculated using chi-square, Cramer’s V test, odds ratio, and Levene’s test.
Results Twenty-four variables have been identified as associated with SAWS development. Five of the 24 variables had a moderate-to-strong association with SAWS risk: Fast Alcohol Screening Test, Glasgow Modified Alcohol Withdrawal Scale score, AWS admission, hours since the last drink, and systolic blood pressure. The study also identified that comorbidity was associated with not developing SAWS.
Conclusion/Recommendations These findings confirm that noninvasive variables collected in the emergency department are useful in identifying a person’s risk of developing SAWS. The results of this study are a useful starting point in the exploration of SAWS and the development of a tool for use in the emergency department that can stratify risk into high and low and is the next stage of this program of work.
AB - Background The literature lacks consensus to the factors that increase the risk of a patient developing severe alcohol withdrawal syndrome (SAWS).
Aim The study set out to identify the variables that increase the risk of SAWS in patients who have alcohol dependence syndrome.
Methods A case–control study was designed to investigate the variables associated with SAWS in an acute hospital setting. Three hundred eighty-two case and 382 control patients were randomly selected retrospectively from referrals to the acute addiction liaison nursing service during a 12-month period (January 1, 2015, to December 31, 2015). Statistical significance (p < .05) and association with SAWS were calculated using chi-square, Cramer’s V test, odds ratio, and Levene’s test.
Results Twenty-four variables have been identified as associated with SAWS development. Five of the 24 variables had a moderate-to-strong association with SAWS risk: Fast Alcohol Screening Test, Glasgow Modified Alcohol Withdrawal Scale score, AWS admission, hours since the last drink, and systolic blood pressure. The study also identified that comorbidity was associated with not developing SAWS.
Conclusion/Recommendations These findings confirm that noninvasive variables collected in the emergency department are useful in identifying a person’s risk of developing SAWS. The results of this study are a useful starting point in the exploration of SAWS and the development of a tool for use in the emergency department that can stratify risk into high and low and is the next stage of this program of work.
KW - Alcohol
KW - Alcohol Withdrawal Syndrome
KW - Alcohol-Related Seizures
KW - Delirium Tremens
KW - General Hospital
U2 - 10.1097/JAN.0000000000000287
DO - 10.1097/JAN.0000000000000287
M3 - Article
VL - 30
SP - 159
EP - 168
JO - Journal of Addictions Nursing
JF - Journal of Addictions Nursing
SN - 1088-4602
IS - 3
ER -