Current treatments of alcohol use disorder.

Emerging treatments for alcohol dependence reveal an intricate interplay of neurobiological, psychological, and circumstantial factors that contribute to Alcohol Use Disorder (AUD). The approved strategies balancing these factors involve extensive manipulations of neurotransmitter systems such as GABA, Glutamate, Dopamine, Serotonin, and Acetylcholine. Innovative developments are engaging mechanisms such as GABA reuptake inhibition and allosteric modulation. Closer scrutiny is placed on the role of Glutamate in chronic alcohol consumption, with treatments like NMDA receptor antagonists and antiglutamatergic medications showing significant promise. Complementing these neurobiological approaches is the progressive shift towards Personalized Medicine. This strategy emphasizes unique genetic, epigenetic and physiological factors, employing pharmacogenomic principles to optimize treatment response. Concurrently, psychological therapies have become an integral part of the treatment landscape, tackling the cognitive-behavioral dimension of addiction. In instances of AUD comorbidity with other psychiatric disorders, Personalized Medicine becomes pivotal, ensuring treatment and prognosis are closely defined by individual characteristics, as exemplified by Lesch Typology models. Given the high global prevalence and wide distribution of AUD, a persistent necessity exists for development and improvement of treatments. Current research efforts are steadily paving paths towards more sophisticated, effective typology-based treatments: a testament to the recognized imperative for enhanced treatment strategies. The potential encapsulated within the ongoing research suggests a promising future where the clinical relevance of current strategies is not just maintained but significantly improved to effectively counter alcohol dependence.

Prothrombin time predicts steroid response in severe alcohol-related hepatitis.

BACKGROUND AND AIMS: Alcohol-related hepatitis (AH) is the most severe form of acute alcohol-related liver disease. Maddrey's discriminant function ≥32 defines the severe form of AH, which is associated with a high mortality. Steroid therapy represents the main medical treatment that may reduce short-term mortality. Lille score at day 7 assesses the therapeutic response to steroid therapy. At present, no parameters able to predict the response to steroid therapy have been highlighted. The aim of the present study was to evaluate if baseline prothrombin time (BPT) could predict the response to steroid in severe AH (sAH). METHODS: Patients consecutively admitted in two Italian Liver Units, from 2017 to 2022, suffering from sAH were included. Data were collected prospectively. In order to evaluate if BPT could predict steroid response, we assessed the correlation between BPT using the Lille score at day 7. RESULTS: A total of 52 patients received steroid treatment were enrolled in the study. The response to therapy was assessed by Lille score at day 7. Responders were 34 patients (65%), non-responders 18 patients (34%). BPT significantly predicted the steroid response (p < .001). The likelihood of not responding to the steroid therapy was significantly higher in patients with higher BPT (OR = 2.954). CONCLUSIONS: BPT value predicted steroid response in patients with sAH. BPT could quickly identify non-responder patients to steroid therapy, reducing the risk of infections and it could allow the early evaluation for liver transplantation.

Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical use.

BACKGROUNDS: Validated tools for predicting individual in-hospital mortality of COVID-19 are lacking. We aimed to develop and to validate a simple clinical prediction rule for early identification of in-hospital mortality of patients with COVID-19. METHODS AND FINDINGS: We enrolled 2191 consecutive hospitalized patients with COVID-19 from three Italian dedicated units (derivation cohort: 1810 consecutive patients from Bergamo and Pavia units; validation cohort: 381 consecutive patients from Rome unit). The outcome was in-hospital mortality. Fine and Gray competing risks multivariate model (with discharge as a competing event) was used to develop a prediction rule for in-hospital mortality. Discrimination and calibration were assessed by the area under the receiver operating characteristic curve (AUC) and by Brier score in both the derivation and validation cohorts. Seven variables were independent risk factors for in-hospital mortality: age (Hazard Ratio [HR] 1.08, 95% Confidence Interval [CI] 1.07-1.09), male sex (HR 1.62, 95%CI 1.30-2.00), duration of symptoms before hospital admission <10 days (HR 1.72, 95%CI 1.39-2.12), diabetes (HR 1.21, 95%CI 1.02-1.45), coronary heart disease (HR 1.40 95% CI 1.09-1.80), chronic liver disease (HR 1.78, 95%CI 1.16-2.72), and lactate dehydrogenase levels at admission (HR 1.0003, 95%CI 1.0002-1.0005). The AUC was 0.822 (95%CI 0.722-0.922) in the derivation cohort and 0.820 (95%CI 0.724-0.920) in the validation cohort with good calibration. The prediction rule is freely available as a web-app (COVID-CALC: https://sites.google.com/community.unipa.it/covid-19riskpredictions/c19-rp). CONCLUSIONS: A validated simple clinical prediction rule can promptly and accurately assess the risk for in-hospital mortality, improving triage and the management of patients with COVID-19.

Anticoagulant therapy in the treatment of splanchnic vein thrombosis associated to acute pancreatitis: a 3-year single-centre experience.

Splanchnic vein thrombosis (SVT) is a possible complication of acute pancreatitis (AP). There are no precise guidelines on the use of anticoagulant therapy (AT) in these patients. The aim of the study was to determine the safety and the efficacy of AT in AP-associated SVT. Two hundred twenty-one patients were retrospectively and consecutively enrolled from the Pancreatic Outpatient Clinic of the "A. Gemelli" hospital. Patients had a diagnosis of AP and a diagnostic imaging to evaluate whether they had or not SVT. Twenty-seven out of 221 AP patients had SVT (12.21%) and AT therapy was administered to 16 patients (59.3%), for 5.2 ± 2.2 months. A therapeutic dose of low molecular weight heparin was administered (100 UI/kg b.i.d.) at the diagnosis, with fondaparinux 7.5 mg/day, or vitamin K antagonist, or the novel direct oral anti-coagulants, upon discharge. The presence of SVT resulted significantly associated to male sex (p = 0.002). The recanalization rates were 11/16 (68.7%) in patients who received AT, and 3/11 (27.3%) in patients who did not receive it. There was a significant difference between the recanalization rates with and without AT (p = 0.03, OR 5.87). No SVT recurrence was registered during follow-up. No treated patient developed haemorrhagic complications after AT. No deaths were recorded, either in the group undergoing AT or in the one that was not. In conclusion, AT in AP-associated SVT appears to be safe and effective; yet prospective clinical trials are needed to confirm our results.