Quality of care after a horizontal merger between two large academic hospitals.

Background: Hospital mergers remain common, but their influence on healthcare quality varies. Data on effects of European hospital mergers are ill defined, and academic hospitals in particular. This case study assesses early quality of care changes in two formerly competing Dutch academic hospitals that merged on June 6, 2018.

Hallmarks of a genomically distinct subclass of head and neck cancer.

Cancer is caused by an accumulation of somatic mutations and copy number alterations (CNAs). Besides mutations, these copy number changes are key characteristics of cancer development. Nonetheless, some tumors show hardly any CNAs, a remarkable phenomenon in oncogenesis.

A2-165 metabolizes host- and media-derived chemicals and induces transcriptional changes in colonic epithelium in GuMI human gut microphysiological system.

Recently, a GuMI gut microphysiological system has been established to coculture oxygen-intolerant () A2-165 with organoids-derived primary human colonic epithelium. This study aims to test if this GuMI system applies to different donors with different healthy states and uses metabolomics to reveal the role of gut microbes in modulating host- and diet-derived molecules in the gut lumen. Organoids-derived colonic monolayers were generated from an uninflamed region of diverticulitis, ulcerative colitis, and Crohn's disease patients and then integrated into the GuMI system to coculture with A2-165 for 2 to 4 days.

Changes in child and adolescent mental health across the COVID-19 pandemic (2018-2023): Insights from general population and clinical samples in the Netherlands.

Background: The COVID-19 pandemic negatively affected child and adolescent mental health and at the end of the pandemic (April 2022) child mental health had not returned to pre-pandemic levels. We investigated whether this observed increase in mental health problems has continued, halted, or reversed after the end of the pandemic in children from the general population and in children in psychiatric care.

Methods: We collected parent-reported and child-reported data at two additional post-pandemic time points (November/December 2022 and March/April 2023) in children (8-18 years) from two general population samples ( = 818-1056 per measurement) and one clinical sample receiving psychiatric care ( = 320-370) and compared these with data from before the pandemic.

Radiomultiomics: quantitative CT clusters of severe asthma associated with multiomics.

Background: Lung quantitative computed tomography (qCT) severe asthma clusters have been reported, but their replication and underlying disease mechanisms are unknown. We identified and replicated qCT clusters of severe asthma in two independent asthma cohorts and determined their association with molecular pathways, using radiomultiomics, integrating qCT, multiomics and machine learning/artificial intelligence.

Methods: We used consensus clustering on qCT measurements of airway and lung CT scans, performed in 105 severe asthmatic adults from the U-BIOPRED cohort.

Implementation and validation of face de-identification (de-facing) in ADNI4.

Introduction: Recent technological advances have increased the risk that de-identified brain images could be re-identified from face imagery. The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a leading source of publicly available de-identified brain imaging, who quickly acted to protect participants' privacy.

Methods: An independent expert committee evaluated 11 face-deidentification ("de-facing") methods and selected four for formal testing.

Environmentally Controlled Microfluidic System Enabling Immune Cell Flow and Activation in an Endothelialised Skin-On-Chip.

Integration of reconstructed human skin (RhS) into organ-on-chip (OoC) platforms addresses current limitations imposed by static culturing. This innovation, however, is not without challenges. Microfluidic devices, while powerful, often encounter usability, robustness, and gas bubble issues that hinder large-scale high-throughput setups.

Prediction of emergency department presentations for acute coronary syndrome using a machine learning approach.

The relationship between weather and acute coronary syndrome (ACS) incidence has been the subject of considerable research, with varying conclusions. Harnessing machine learning techniques, our study explores the relationship between meteorological factors and ACS presentations in the emergency department (ED), offering insights into seasonal variations and inter-day fluctuations to optimize patient care and resource allocation. A retrospective cohort analysis was conducted, encompassing ACS presentations to Dutch EDs from 2010 to 2017.

Peeling the onion: how complex is the artemisinin resistance genetic trait of malaria parasites?

The genetics of Plasmodium as an intracellular, mostly haploid, sexually reproducing, eukaryotic organism with a complex life cycle, presents unprecedented challenges in studying drug resistance. This article summarizes current knowledge on the genetic basis of artemisinin resistance (AR) - a main component of current drug therapies for falciparum malaria. Although centered on nonsynonymous single-nucleotide polymorphisms (nsSNPs), we describe multifaceted resistance mechanisms as part of a complex, cumulative genetic trait that involves regulation of expression by a wide array of polymorphisms in noncoding regions.

Aortic root replacement for bicuspid aortic valve dysfunction does not impair survival rates.

Background: Patients with a bicuspid aortic valve carry an increased risk for developing an ascending aortic aneurysm due to intrinsic aortic wall alterations. A lower threshold for aortic surgery may therefore be considered in these patients, especially in those who require aortic valve surgery. This study aimed to compare the outcomes of an isolated aortic valve replacement with that of an aortic root replacement in bicuspid aortic valve patients with an indication for aortic valve surgery.

Gene-environmental influence of space and microgravity on red blood cells with sickle cell disease.

A fundamental question in human biology and for hematological disease is how do complex gene-environment interactions lead to individual disease outcome? This is no less the case for sickle cell disease (SCD), a monogenic disorder of Mendelian inheritance, both clinical course, severity, and treatment response, is variable amongst affected individuals. New insight and discovery often lie between the intersection of seemingly disparate disciplines. Recently, opportunities for space medicine have flourished and have offered a new paradigm for study.