Risk assessment of moderate to severe alcohol withdrawal--predictors for seizures and delirium tremens in the course of withdrawal.

Eyer, F; Schuster, T; Felgenhauer, N; Pfab, R; Strubel, T; Saugel, B; Zilker, T

doi:10.1093/alcalc/agr053

journal article

Titel:: Risk assessment of moderate to severe alcohol withdrawal--predictors for seizures and delirium tremens in the course of withdrawal.
Dokumenttyp:: Journal Article; Article
Autor(en):: Eyer, F; Schuster, T; Felgenhauer, N; Pfab, R; Strubel, T; Saugel, B; Zilker, T
Abstract:: To develop a prediction model for withdrawal seizures (WS) and delirium tremens (DT) during moderate to severe alcohol withdrawal syndrome (AWS) in a large cohort of inpatients treated for AWS (n = 827).Re-analysis of a cohort study population treated between 2000 and 2009. All patients received a score-guided and symptom-triggered therapy for AWS. Multivariable binary logistic regression models with stepwise variable selection procedures were conducted providing odds ratio (OR) estimates.In the multivariable regression, significant predictors of WS during AWS therapy were a delayed climax of withdrawal severity since admission [OR/10 h: 1.23; 95% confidence interval (CI): 1.1-1.4; P < 0.001)], prevalence of structural brain lesions in the patient's history (OR 6.5; 95% CI: 3.0-14.1; P < 0.001) and WS as the cause of admittance (OR 2.6; 95% CI: 1.4-4.8; P = 0.002). Significant predictors at admission for the occurrence of DT were lower serum potassium (OR/1 mmol/l 0.33; 95% CI: 0.17-0.65; P = 0.001), a lower platelet count (OR/100.000 0.42; 95% CI: 0.26-0.69; P = 0.001) and prevalence of structural brain lesions (OR 5.8; 95% CI: 2.6-12.9; P < 0.001).In this large retrospective cohort, some easily determinable parameters at admission may be useful to predict a complicated course of alcohol withdrawal regarding the occurrence of WS or DT. Using the provided nomograms, clinicians can estimate the percentage likelihood of patients to develop either WS or DT during their course of withdrawal. Prevalence of structural brain lesions in the patient's history does strongly warrant a careful observation of patients.
Zeitschriftentitel:: Alcohol Alcohol
Jahr:: 2011
Band / Volume:: 46
Heft / Issue:: 4
Seitenangaben Beitrag:: 427-33
Sprache:: eng
Volltext / DOI:: doi:10.1093/alcalc/agr053
PubMed:: http://view.ncbi.nlm.nih.gov/pubmed/21593124
Print-ISSN:: 0735-0414
TUM Einrichtung:: 2. Medizinische Klinik Toxikologische Abteilung (alt) (Prof. Zilker); II. Medizinische Klinik und Poliklinik (Gastroenterologie); Institut für Medizinische Statistik und Epidemiologie; Klinik und Poliklinik für Psychiatrie und Psychotherapie
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mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Medicine and Health Departments Clinical Medicine Institut für KI und Informatik in der Medizin (Prof. Rückert)2011

mediaTUM Gesamtbestand Hochschulbibliographie 2011 Fakultäten Medizin Institut für Medizinische Statistik und Epidemiologie

mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Medicine and Health Departments Clinical Medicine Klinik und Poliklinik für Innere Medizin II, Gastroenterologie (Prof. Schmid)Abteilung für Toxikologie (Prof. Eyer)2011

mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Medicine and Health Departments Clinical Medicine Klinik und Poliklinik für Psychiatrie und Psychotherapie (Prof. Priller)2011

mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Medicine and Health Departments Clinical Medicine Klinik und Poliklinik für Innere Medizin II, Gastroenterologie (Prof. Schmid)2011