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  1. Article ; Online: Development and internal validation of a multivariable model for the prediction of the probability of 1-year readmission to the emergency department for acute alcohol intoxication.

    Palmese, Francesco / Bonavita, Maria Elena / Pompili, Enrico / Reggidori, Nicola / Migliano, Maria Teresa / Di Stefano, Cecilia / Grieco, Marta / Colazzo, Stefano / Baldassarre, Maurizio / Caraceni, Paolo / Foschi, Francesco Giuseppe / Giostra, Fabrizio / Farina, Gabriele / Del Toro, Rossella / Bedogni, Giorgio / Domenicali, Marco

    Internal and emergency medicine

    2023  Volume 19, Issue 3, Page(s) 823–829

    Abstract: To develop and internally validate a multivariable logistic regression model (LRM) for the prediction of the probability of 1-year readmission to the emergency department (ED) in patients with acute alcohol intoxication (AAI). We developed and internally ...

    Abstract To develop and internally validate a multivariable logistic regression model (LRM) for the prediction of the probability of 1-year readmission to the emergency department (ED) in patients with acute alcohol intoxication (AAI). We developed and internally validated the LRM on a previously analyzed retrospective cohort of 3304 patients with AAI admitted to the ED of the Sant'Orsola-Malpighi Hospital (Bologna, Italy). The benchmark LRM employed readmission to the same ED for AAI within 1 year as the binary outcome, age as a continuous predictor, and sex, alcohol use disorder, substance use disorder, at least one previous admission for trauma, mental or behavioral disease, and homelessness as the binary predictors. Optimism correction was performed using the bootstrap on 1000 samples without replacement. The benchmark LRM was gradually simplified to get the most parsimonious LRM with similar optimism-corrected overall fit, discrimination and calibration. The 1-year readmission rate was 15.7% (95% CI 14.4-16.9%). A reduced LRM based on sex, age, at least one previous admission for trauma, mental or behavioral disease, and homelessness, performed nearly as well as the benchmark LRM. The reduced LRM had the following optimism-corrected metrics: scaled Brier score 17.0%, C-statistic 0.799 (95% CI 0.778 to 0.821), calibration in the large 0.000 (95% CI - 0.099 to 0.099), calibration slope 0.985 (95% CI 0.893 to 1.088), and an acceptably accurate calibration plot. An LRM based on sex, age, at least one previous admission for trauma, mental or behavioral disease, and homelessness can be used to estimate the probability of 1-year readmission to ED for AAI. To begin proving its clinical utility, this LRM should be validated in external cohorts.
    MeSH term(s) Humans ; Patient Readmission/statistics & numerical data ; Emergency Service, Hospital/statistics & numerical data ; Emergency Service, Hospital/organization & administration ; Male ; Female ; Adult ; Alcoholic Intoxication ; Middle Aged ; Retrospective Studies ; Italy ; Logistic Models ; Probability
    Language English
    Publishing date 2023-12-14
    Publishing country Italy
    Document type Journal Article ; Validation Study
    ZDB-ID 2454173-4
    ISSN 1970-9366 ; 1828-0447
    ISSN (online) 1970-9366
    ISSN 1828-0447
    DOI 10.1007/s11739-023-03490-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Mortality and its association with chronic alcohol-related diseases in patients admitted to the emergency department for acute alcoholic intoxication: retrospective cohort study.

    Palmese, Francesco / Bonavita, Maria Elena / Pompili, Enrico / Migliano, Maria Teresa / Reggidori, Nicola / Di Stefano, Cecilia / Grieco, Marta / Colazzo, Stefano / Tufoni, Manuel / Baldassarre, Maurizio / Caraceni, Paolo / Foschi, Francesco Giuseppe / Giostra, Fabrizio / Farina, Gabriele / Del Toro, Rossella / Bedogni, Giorgio / Domenicali, Marco

    Internal and emergency medicine

    2022  Volume 18, Issue 1, Page(s) 257–263

    Abstract: We assessed long-term mortality and its association with chronic alcohol-related diseases in patients admitted to the emergency department (ED) because of acute alcoholic intoxication (AAI). A retrospective cohort study was performed at the ED of Sant' ... ...

    Abstract We assessed long-term mortality and its association with chronic alcohol-related diseases in patients admitted to the emergency department (ED) because of acute alcoholic intoxication (AAI). A retrospective cohort study was performed at the ED of Sant'Orsola-Malpighi Hospital, Bologna, Italy. 3304 patients, corresponding to 6415 admissions for AAI, who accessed the ED from January 1, 2005, to December 31, 2017, were studied. The ED electronic registry system was used to assess living status on 08 May 2020 and to obtain the prespecified potential predictors, i.e., age at first admission, sex, alcohol use disorder (AUD), substance use disorder (SUD), more than 1 admission to ED for trauma, mental and behavioral disorders, neurological disorders, and cardiovascular disease. The median follow-up time was 9.3 years and the time on risk was 30,053 person years (PY) with a death rate corresponding to 4.42 (95% CI 3.74-5.26) per 1000 PY (n = 133 deaths). The death rate was higher in patients with AUD (17.30) than in those without AUD (1.98) and in those with SUD (13.58) than in those without SUD (3.80). Lastly, there was a clearly higher death rate among AUD+ SUD+ (20.89) compared to AUD-SUD-patients (1.74). At multivariable Cox regression, AUD, SUD, and liver cirrhosis were strong and independent predictors of time-to-death. Using standardized mortality ratios, a clear excess of mortality was evident for all the age bands from (40-45] to (60-65] years. Mortality is higher in AAI than in the general population and chronic alcohol-related diseases are strongly associated with it.
    MeSH term(s) Humans ; Alcoholism/complications ; Alcoholism/epidemiology ; Alcoholic Intoxication/complications ; Alcoholic Intoxication/epidemiology ; Retrospective Studies ; Alcohol-Related Disorders/epidemiology ; Substance-Related Disorders/epidemiology ; Emergency Service, Hospital
    Language English
    Publishing date 2022-10-05
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 2454173-4
    ISSN 1970-9366 ; 1828-0447
    ISSN (online) 1970-9366
    ISSN 1828-0447
    DOI 10.1007/s11739-022-03114-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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