This classification is intended to meet four criteria for a good taxomony so that it might serve as a guide for matching types of alcoholics with types of treatments. Steps used to develop the classification include: isolating prognostic indicators (prognostic indicators are personal characteristics of alcoholics that are shown empirically related to treatment response), hypothesizing how 50 prognostic indicators should cluster, measuring the indicators among 60 male alcoholics from five different treatment facilities, and comparing the hypothesized clusters with clusters derived by the Johnson maximum hierarchical clustering procedure. Two hypothesized clusters, which were largely confirmed, were converted to Social Stability and Intellectual Functioning Scales. These scales were used to classify 60 original and 20 additional nonrandomly selected alcoholics into four types. The classification awaits replication and a test of the effectiveness of type-specific treatment.
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http://dx.doi.org/10.3109/10826088009040031 | DOI Listing |
J Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
View Article and Find Full Text PDFAbdom Radiol (NY)
January 2025
Department of Hepato-Biliary-Pancreatic Surgery, Huadong Hospital affiliated to Fudan University, Shanghai, China.
Background: The prognostic prediction of pancreatic ductal adenocarcinoma (PDAC) remains challenging. This study aimed to develop a radiomics model to predict Ki-67 expression status in PDAC patients using radiomics features from dual-phase enhanced CT, and integrated clinical characteristics to create a radiomics-clinical nomogram for prognostic prediction.
Methods: In this retrospective study, data were collected from 124 PDAC patients treated surgically at a single center, from January 2017 to March 2023.
Abdom Radiol (NY)
January 2025
The General Hospital of Western Theater Command, Chengdu, Sichuan 610083, China, Chengdu, China.
Background: Perineural invasion (PNI) in colorectal cancer (CRC) is a significant prognostic factor associated with poor outcomes. Radiomics, which involves extracting quantitative features from medical imaging, has emerged as a potential tool for predicting PNI. This systematic review and meta-analysis aimed to evaluate the diagnostic accuracy of radiomics models in predicting PNI in CRC.
View Article and Find Full Text PDFBlood
January 2025
Umeå University, Department of Medical Biosciensces, Department of Clinical Microbiology, Umeå, Sweden.
Current intensive treatment of pediatric T-cell acute lymphoblastic leukemia (T-ALL) has substantial side-effects, highlighting a need for novel biomarkers to improve risk stratification. Canonical biomarkers such as genetics and immunophenotype are largely not used in pediatric T-ALL stratification. This study aimed to validate the prognostic relevance of DNA methylation CpG island methylator phenotype (CIMP) risk stratification in two pediatric T-ALL patient cohorts: the Nordic NOPHO ALL2008 T-ALL study cohort (n=192) and the Dutch DCOG ALL-10/ALL-11 validation cohorts (n=156).
View Article and Find Full Text PDFTurk J Gastroenterol
January 2025
Division of Gastroenterohepatology, Department of Internal Medicine, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye.
Background/aims: Elevated intra-abdominal pressure (IAP) can lead to intra-abdominal hypertension (IAH) and, in severe cases, abdominal compartment syndrome (ACS) in patients with cirrhosis and ascites. Paracentesis reduces IAP and improves abdominal perfusion. Intra-abdominal hypertension can also trigger acute-on-chronic liver failure (ACLF) in decompensated cirrhosis.
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