Impact of comorbid mental disorders on outcomes of brief outpatient treatment for DSM-5 alcohol use disorder in older adults

2020 ◽  
Vol 119 ◽  
pp. 108143
Author(s):  
Silke Behrendt ◽  
Alexis Kuerbis ◽  
Randi Bilberg ◽  
Barbara Braun-Michl ◽  
Anna Mejldal ◽  
...  
Author(s):  
Silke Behrendt ◽  
Barbara Braun ◽  
Randi Bilberg ◽  
Gerhard Bühringer ◽  
Michael Bogenschutz ◽  
...  

Abstract. Background: The number of older adults with alcohol use disorder (AUD) is expected to rise. Adapted treatments for this group are lacking and information on AUD features in treatment seeking older adults is scarce. The international multicenter randomized-controlled clinical trial “ELDERLY-Study” with few exclusion criteria was conducted to investigate two outpatient AUD-treatments for adults aged 60+ with DSM-5 AUD. Aims: To add to 1) basic methodological information on the ELDERLY-Study by providing information on AUD features in ELDERLY-participants taking into account country and gender, and 2) knowledge on AUD features in older adults seeking outpatient treatment. Methods: baseline data from the German and Danish ELDERLY-sites (n=544) were used. AUD diagnoses were obtained with the Mini International Neuropsychiatric Interview, alcohol use information with Form 90. Results: Lost control, desired control, mental/physical problem, and craving were the most prevalent (> 70 %) AUD-symptoms. 54.9 % reported severe DSM-5 AUD (moderate: 28.2 %, mild: 16.9 %). Mean daily alcohol use was 6.3 drinks at 12 grams ethanol each. 93.9 % reported binging. More intense alcohol use was associated with greater AUD-severity and male gender. Country effects showed for alcohol use and AUD-severity. Conclusion: European ELDERLY-participants presented typical dependence symptoms, a wide range of severity, and intense alcohol use. This may underline the clinical significance of AUD in treatment-seeking seniors.


Author(s):  
Robert Modrzyński

Kolejna rewizja podręcznika DSM (ang. Diagnostics and Statistical Manual of Mental Disorders – DSM-5) pojawiła się w 2013 roku i wprowadziła daleko idące zmiany w rozumieniu zaburzeń stosowania substancji psychoaktywnych. Najważniejszy przełom dotyczy rozumienia używania alkoholu. Odejście od dychotomicznego, zero-jedynkowego rozumieniauzależnienia od alkoholu i nadużywania pozwoliło na stworzenie nowej kategorii diagnostycznej zaburzeń używania alkoholu (alcohol use disorder – AUD). W artykule poruszono zagadnienie zmian w kryteriach diagnostycznych dotyczących zaburzenia używania alkoholu w świetle najnowszej klasyfikacji DSM-5. Zaprezentowano umiejscowieniekategorii zaburzeń używania alkoholu, jej definicję wraz z kryteriami diagnostycznymi. Dokonano również zestawienia objawów zaburzenia używania alkoholu wg DSM-5 z odpowiadającymi im kryteriami ICD-10 (ang. International Statistical Classification of Diseases and Related Health Problems). Na zakończenie artykułu przedstawiono liczne kontrowersje wokuł nowej kategorii. Podkreślono wyzwanie dla przyszłych badań, jakim jest planowanie leczenia w zależności od stopnia cieżkości zaburzenia używania alkoholu.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S84-S85
Author(s):  
Nanna Weye ◽  
Natalie Momen ◽  
Maria Christensen ◽  
Kim Iburg ◽  
John McGrath ◽  
...  

Abstract Background The Global Burden of Disease (GBD) study uses Years of Life Lost (YLLs) to quantify premature mortality. This is a useful metric from many perspectives, however because GBD acknowledges only a small number of mental disorders as causes of death (CoDs), the true impact of mental disorders on premature mortality is underestimated. Recently, methods have been introduced that compare people with a disorder to the general population by estimating Life Years Lost (LYLs). The aim of this study was to present register-based estimates of both YLLs and LYLs related to mental disorders. Methods We used nationwide registers to examine a cohort of all 6,989,627 people aged 0–94 years living in Denmark in 2000–2015. Using the GBD approved set of mental health-related CoDs (eating disorders, drug use disorders, alcohol use disorder and suicide), YLLs were estimated. In addition, we calculated all-cause and cause-specific differences in life expectancy after a mental disorder diagnosis as excess LYLs between those with a specific mental disorder and the age- and sex-matched general Danish population. The disorders of interest were alcohol use disorder, drug use disorders, schizophrenia, bipolar disorders, depressive disorders, anxiety disorders, eating disorders, personality disorders, developmental intellectual disability, autism spectrum disorders, ADHD and conduct disorder. Excess LYLs related to counts of comorbid mental disorders were also examined (i.e. those diagnosed with at least two, three or four disorders). Results Alcohol use disorder and suicide were the leading causes of YLLs (alcohol use disorder: Men 568.7 YLLs, women 155.5 YLLs per 100,000 person-years; suicide: Men 590.1 YLLs, women 202.3 YLLs per 100,000 person-years). However, all mental disorders were associated with shorter life expectancies using LYLs. Men and women diagnosed with any mental disorder had 11.22 (95% CI 11.09; 11.35) and 7.89 (95% CI 7.76; 8.01) years shorter life expectancies respectively, and the difference increased in those with comorbid mental disorders. Drug use disorders were associated with the largest excess LYLs (17.99 (95% CI 17.49; 18.53) in men and 15.29 (95% CI 14.70; 15.88) in women), however common disorders such as depressive disorders and anxiety disorders were also associated with substantive premature mortality (e.g. in men, 8.27 and 7.52 LYLs, respectively). Schizophrenia was associated with 13.80 (95% CI 13.47; 14.14) excess LYLs in men and 11.77 (95% CI 11.38; 12.13) in women. Discussion Register-based studies allow the calculation of precise individual YLLs and LYLs. The novel LYL metric seems to better capture the true impact of mental disorders on premature mortality and also facilitates the exploration of comorbidity and specific CoDs in those with mental disorders.


2020 ◽  
Vol 44 (3) ◽  
pp. 632-644 ◽  
Author(s):  
Ashley C. Helle ◽  
Timothy J. Trull ◽  
Ashley L. Watts ◽  
Yoanna McDowell ◽  
Kenneth J. Sher

Author(s):  
Silke Behrendt ◽  
Alexis Kuerbis ◽  
Barbara Braun‐Michl ◽  
Randi Bilberg ◽  
Gerhard Bühringer ◽  
...  

2019 ◽  
Vol 201 ◽  
pp. 147-154 ◽  
Author(s):  
Rohan H.C. Palmer ◽  
Leslie A. Brick ◽  
Yi-Ling Chou ◽  
Arpana Agrawal ◽  
John E. McGeary ◽  
...  

2018 ◽  
Vol 49 (6) ◽  
pp. 931-939 ◽  
Author(s):  
Cheryl D. Raffo ◽  
Deborah S. Hasin ◽  
Paul Appelbaum ◽  
Melanie M. Wall

AbstractBackgroundAlthough the DSM is a widely used diagnostic guide, lengthy criteria sets can be problematic and provide the primary motivation to identify short-forms. Using the 11 diagnostic criteria provided by the DSM-5 for alcohol use disorder (AUD), the present study develops a data-driven method to systematically identify subsets and associated cut-offs that yield diagnoses as similar as possible to use all 11 criteria.MethodRelying on data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III), our methodology identifies diagnostic short-forms for AUD by: (1) maximizing the association between the sum scores of all 11 criteria with newly constructed subscales from subsets of criteria; (2) optimizing the similarity of AUD prevalence between the current DSM-5 rule and newly constructed diagnostic short-forms; (3) maximizing sensitivity and specificity of the short-forms against the current DSM-5 rule; and (4) minimizing differences in the accuracy of the short-form across chosen covariates. Replication is shown using NESARC-Wave 2.ResultsMore than 11 000 diagnostic short-forms for DSM-5 AUD can be created and our method narrows down the optimal choices to eight. Results found that ‘Neglecting major roles’ and ‘Activities given up’ could be dropped with practically no change in who is diagnosed (specificity = 100%, sensitivity ⩾ 99.6%) or the severity of those diagnosed (κ = 0.97).ConclusionsWith a continuous improvement model adopted by the APA for DSM revisions, we offer a data-driven tool (a SAS Macro) that identifies diagnostic short-forms in a systematic and reproducible way to help advance potential improvements in future DSM revisions.


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