Publications by authors named "W V Henderson"

Background: Chronic visceral hypersensitivity is associated with an overstressed pain response to noxious stimuli (hyperalgesia). Microbiota are active modulators of host biology and are implicated in the etiology of visceral hypersensitivity.

Objectives: we studied the association between the circulating mRNA transcriptome, the intensity of induced visceral pain (IVP), and variation in the oral microbiome among participants with and without baseline visceral hypersensitivity.

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Here, we report our initial investigations into the coordination chemistry of symmetric diacylated thiourea ligands ((RCONH)CS) (R = Me, Et or Ph) acting as both mono and dianionic ligands with platinum(II), palladium(II) and gold(III) metal centres. Initial investigations were centred on mixed ligand bis(triphenylphosphine) (PPh) complexes which were prepared by reactions between -[PtCl(PPh)] and (RCONH)CS. A subsequent series of mixed ligand complexes from the diethyl-diacylthiourea ligand ((CHCHCONH)CS) with [PtCl(dppe)] (dppe = PhPCHCHPPh), [PdCl(phen)] (phen = 1,10-phenanthroline), [AuCl(anp)] (anp = cyclometallated 2-anilinopyridyl) and [PtCl(COD)] (COD = 1,5-cyclooctadiene) were also prepared.

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Background: The impact of surgeon subspecialty on postoperative outcomes is relatively unstudied in emergency thoracic surgery. The purpose of this study was to compare the outcomes of patients who undergo emergency thoracic operations by cardiothoracic surgeons versus other surgical subspecialties.

Methods: This was a retrospective cohort using the National Surgical Quality Improvement Program database (2005-2018).

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Background: Prior data suggest that surgical site infections (SSIs) occur more frequently in warmer months. Although several studies have shown this, most do not adequately account for confounding factors or the non-parametric nature of seasonal trends. This study examined SSI rates across multiple hospitals within a single healthcare system, using previously published statistical models applied to electronic health record (EHR) data.

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