Alcohol withdrawal syndrome (AWS) manifests after alcohol-dependent individuals suddenly cease alcohol consumption. Clinical Institute Withdrawal Assessment-Alcohol, revised (CIWA-Ar) is a widely used tool to assess and guide treatment of AWS. CIWA-Ar was developed in voluntarily detoxification centers, and the reliability and validity of CIWA-Ar have been minimally evaluated in hospitalized patients. We performed a retrospective chart review of 479 cases of screening and treatment of AWS using CIWA-Ar, of which 118 were admitted to a trauma/orthopedic (T/O) service and 361 to an internal medicine (IM) service. Exploratory factor analyses with varimax rotation were applied for each population, and reliability testing was performed on the determined subscales. Exploratory factor analyses yielded 2 unique structures, each explaining 56% of the variance of CIWA-Ar. The IM group had a 3-factor structure with the Physical Disturbances (23%), Anxiety (19%), and Confusion (14%) subscales. The T/O group had a 2-factor structure with the Neurological Disturbances (36%) and Physical Disturbances (20%) subscales. Overall, Cronbach's alphas were acceptable (0.74 and 0.82 for IM and T/O, respectively); however, Cronbach's alphas for the IM subscales were 0.66 and 0.69 for physical disturbances and anxiety, respectively. Cronbach's alpha for the Confusion subscale was not calculated because only 1 scale item loaded. The subscales of the T/O factor structure yielded Cronbach's alphas of 0.81 for neurological disturbances and 0.62 for physical disturbances. Our analyses did not support the reliability or validity of CIWA-Ar in acutely ill or injured patients, warranting further investigation and tool development for AWS management in the hospital setting.
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http://dx.doi.org/10.1097/JTN.0000000000000414 | DOI Listing |
Sleep Epidemiol
December 2024
Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Objective: To examine longitudinal associations between self-reported sleep disturbances and mobility disability progression among women, including subgroups with multiple sclerosis (MS), diabetes, and osteoarthritis (OA).
Methods: Prospective cohort study using data from Nurses' Health Study long-form questionnaires (2008, 2012, 2014, 2016). Logistic regression was used to quantify associations between sleep-related variables at baseline and subsequent increase in mobility disability.
JSES Int
November 2024
Department of Population Health Sciences, Duke University, Durham, NC, USA.
Background: Identification of high-impact chronic pain (HICP) among patients receiving total shoulder arthroplasty (TSA) may allow for the design and implementation of tailored pain interventions to address the negative impact on postoperative outcomes and quality of life. This analysis sought to determine if Patient-Reported Outcome Measurement Information System (PROMIS) measures could be used to estimate HICP status following TSA.
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PLoS One
January 2025
Department of Internal Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
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View Article and Find Full Text PDFSleep
January 2025
The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Science, University of Haifa, Israel.
Study Objectives: Sleep disturbances are prevalent during acute hospitalization in medically ill older patients, with undesirable outcomes. Sleep medication use is common, but its effectiveness is questionable. This study explored the trajectory of sleep parameters from home to hospital and assessed the impact of sleep medication use, considering covariates such as physical symptom burden.
View Article and Find Full Text PDFJ Spinal Cord Med
January 2025
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Design: An uncontrolled prospective case series study.
Setting: A rehabilitation hospital.
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