Publications by authors named "G A Kalkman"

: As long-term prescription opioid use is associated with increased morbidity and mortality, timely dose reduction of prescription opioids should be considered. However, most research has been conducted on patients using heroin. Given the differences between prescription and illicit opioid use, the aim of this review was to provide an overview of pharmacological strategies to reduce prescription opioid use or improve clinical outcomes for people who experience long-term prescription opioid use, including those with opioid use disorder.

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Background: Given the multifactorial nature of type 2 diabetes (T2D), health care for this condition would benefit from a holistic approach and multidisciplinary consultation. To address this, we developed the web-based 360-degree (360°) diagnostic tool, which assesses 4 key domains: "body" (physical health parameters), "thinking and feeling" (eg, mental health and stress), "behavior" (lifestyle factors), and "environment" (eg, work and housing conditions).

Objective: This work examines the acceptability, implementation, and potential effects of the 360° diagnostic tool and subsequent tailored treatment (360° approach) in a 6-month intervention and feasibility study conducted in standard primary health care settings in the Netherlands.

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Article Synopsis
  • A target discovery pipeline was created to identify drug targets for metabolic dysfunction-associated steatohepatitis (MASH) and liver fibrosis by using a combination of molecular networks, text mining, and machine learning integrated with clinical data.
  • Key genes influencing disease progression were pinpointed through knockout studies, leading to target efficacy analysis which confirmed the top-5 gene targets, including EP300, as significant contributors to liver fibrosis.
  • Gene-silencing of EP300 notably reduced collagen levels in hepatic cells, demonstrating the pipeline's effectiveness in uncovering relevant drug targets and pathways for treating liver diseases.
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Objectives: The COVID-19 pandemic and related lockdown measures disrupted global healthcare provision, including opioid prescribing. In North America, opioid sales declined while opioid-related deaths increased. In Europe, the effect of the pandemic on prescribing is not yet known.

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Background: It is estimated that one-third of delirium cases in hospitals could be prevented with appropriate interventions. In Dutch hospitals a manual instrument (VMS-questions) is used to identify patients at-risk for delirium. Delirium Model (DEMO) is an automated model which could support delirium prevention more efficiently.

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