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Cancer patients are identified as fragile patients who are often immunodepressed and subject to secondary diseases. The Ada cohort comprises cancer survivors aged 15-39 years at diagnosis included in 34 Italian cancer registries. This study aimed to analyze the possible excess of non-cancer medicines use on the basis of the medicine database of the Ada cohort. Records of medicines present in the pharmaceutical flows collected by eight Lombardy cancer registries and used by patients with any type of cancer were extracted for the year 2012. Medicine consumption data were processed to assign a defined daily dose value and to evaluate the consumption of medicines belonging to different groups of the ATC (Anatomical Therapeutic Chemical) classification. The values were compared with values in the Lombardy population. Medicine consumption related to 8150 patients was analyzed, for a total of 632,675 records. ATC groups A and C for females and group N for both sexes showed significant increases. Group J for males and group M for females showed intermediate increases, and group H for both sexes showed smaller increases. This method allowed the identification of excess medicine use to reduce cancer therapy side effects and primary disease sequelae in this group of patients.
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http://dx.doi.org/10.3390/healthcare9091121 | DOI Listing |
Diabetologia
September 2025
Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Aims/hypothesis: Alpha cell dysregulation is an integral part of type 2 diabetes pathophysiology, increasing fasting as well as postprandial glucose concentrations. Alpha cell dysregulation occurs in tandem with the development of insulin resistance and changes in beta cell function. Our aim was to investigate, using mathematical modelling, the role of alpha cell dysregulation in beta cell compensatory insulin secretion and subsequent failure in the progression from normoglycaemia to type 2 diabetes defined by ADA criteria.
View Article and Find Full Text PDFAnaesthesia
September 2025
Department of Applied Health Sciences, School of Health Sciences, University of Birmingham, UK.
Introduction: Restoration of surgical capacity is essential to post-COVID-19 recovery. This study explored the use and safety of anaesthesia options for inguinal hernia surgery, a common tracer condition, to describe current global practice and highlight opportunities to build the capacity of health systems.
Methods: This is a secondary analysis of an international prospective cohort study of consecutive patients who underwent elective inguinal hernia surgery.
PLoS One
September 2025
Western Gipuzkoa Clinical Research Unit, Osakidetza/Basque Health Service, Mendaro Hospital, Gipuzkoa, Spain.
Objective: To perform an external validation of a previously reported machine learning (ML) approach for predicting the diagnosis of pleural tuberculosis.
Patients And Methods: We defined two cohorts: a Training group, comprising 273 out of 1,220 effusions from our prospective study (2013-2022); and a Testing group, from a retrospective analysis of 360 effusions from 832 consecutive patients in Bajo Deba health district (1996-2012). All the effusions included were exudative and lymphocytic.
Open Heart
September 2025
Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
Background: Despite standardised approaches, subjective assessment and inconsistent diagnostic testing for chest pain in the emergency department (ED) drive costs, disparities and adverse outcomes. Artificial intelligence offers potential to automate and improve risk stratification.
Methods And Results: Using a retrospective cohort of 15 048 patients presenting to the ED of a tertiary care hospital, we trained a neural network classifier ('Chest Pain-AI' or 'CP-AI') to predict a 7-day composite endpoint of major cardiovascular diagnoses including myocardial infarction, pulmonary embolism, aortic dissection and all-cause mortality.
Diabetologia
September 2025
Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Aims/hypothesis: Glucose 6-phosphate dehydrogenase (G6PD) deficiency, the most common inherited enzymopathy, can affect HbA levels and the diagnosis of type 2 diabetes. This cross-sectional study aimed to investigate the association between G6PD deficiency, its common mutations (G6PD Viangchan, G6PD Mahidol) and HbA levels in a Thai cohort.
Methods: Blood samples from 1007 healthy hospital staff were collected during annual health checkups.