Transcriptome of capsular contracture around breast implants mimics allograft rejection: a matched case-control study.

Background: Capsular contracture is a frequent and severe complication following breast implant surgery. Although several theories on the pathophysiology exist, the exact molecular mechanisms remain unclear. This study aimed to identify the specific genes, signaling pathways, and immune cells associated with capsular contracture.

Effect of telemedicine support for intraoperative anaesthesia care on postoperative outcomes: the TECTONICS randomised clinical trial.

Background: Telemedicine may help improve care quality and patient outcomes. Telemedicine for intraoperative decision support has not been rigorously studied.

Methods: This was a single-centre randomised clinical trial of unselected adult surgical patients.

Craniofrontonasal syndrome in a patient with an inv(X)(p22.2q13.1), separating EFNB1 from its enhancer.

Craniofrontonasal syndrome (CFNS) is an X-linked developmental disorder caused by loss of function variants (LOFVs) in the ephrin B1 (EFNB1) gene located on Xq13.1. In CFNS, unlike in other X-linked disorders, females with heterozygous EFNB1 pathogenic variants (PVs) have a severe phenotype, whereas males carrying hemizygous EFNB1 PVs have a mild phenotype.

IL-9 sensitizes human T2 cells to proinflammatory IL-18 signals in atopic dermatitis.

Background: T2 cells crucially contribute to the pathogenesis of atopic dermatitis (AD) by secreting high levels of IL-13 and IL-22. Yet the upstream regulators that activate T2 cells in AD skin remain unclear. IL-18 is a putative upstream regulator of T2 cells because it is implicated in AD pathogenesis and has the capacity to activate T cells.

Preoperative predictors of acute postoperative anxiety and depression using ecological momentary assessments: a secondary analysis of a single-centre prospective observational study.

Background: Postoperative anxiety and depression can negatively affect surgical outcomes and patient wellbeing. This study aimed to quantify the incidence of postoperative worsening anxiety and depression symptoms and to identify preoperative predictors of these conditions.

Methods: This prospective, observational cohort study included 1168 patients undergoing surgery lasting >1 h with overnight admission at a university-affiliated quaternary referral centre.

The chronic wound characterisation study and biobank: a study protocol for a prospective observational cohort investigation of bacterial community composition, inflammatory responses and wound-healing trajectories in non-healing wounds.

Introduction: Chronic wounds affect 1%-2% of the global population, with rising incidence due to ageing and lifestyle-related diseases. Bacterial biofilms, found in 80% of chronic wounds, and scattered single-cell bacteria may hinder healing. Microbes are believed to negatively impact healing by exacerbating inflammation and host immune response.

Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial.

Background: Anaesthesiologists might be able to mitigate risk if they know which patients are at greatest risk for postoperative complications. This trial examined the impact of machine learning models on clinician risk assessment.

Methods: This single-centre, prospective, randomised clinical trial enrolled surgical patients aged ≥18 yr.

Multiaxial 3D MRI of the Ankle: Advanced High-Resolution Visualization of Ligaments, Tendons, and Articular Cartilage.

MRI is a valuable tool for diagnosing a broad spectrum of acute and chronic ankle disorders, including ligament tears, tendinopathy, and osteochondral lesions. Traditional two-dimensional (2D) MRI provides a high image signal and contrast of anatomic structures for accurately characterizing articular cartilage, bone marrow, synovium, ligaments, tendons, and nerves. However, 2D MRI limitations are thick slices and fixed slice orientations.

Conversion of Site-Specific Meteorological Data for use in CAP-88 PC.

CAP-88 PC is a commonly used radiological atmospheric dispersion model. This US EPA-approved model is used to demonstrate compliance with atmospheric emission regulations for radionuclides. While the model includes a large library of meteorological data for use across the United States, there are applications when users may wish to use onsite meteorological data as an input to the CAP-88 PC model.

Hair removal with a clipper and microbial colonisation prior to knee arthroplasty: a randomised controlled trial.

Background: Despite the widely reported success of knee arthroplasty, studies show that 1.6-3 % of patients undergo revision within the first postoperative year predominantly due to infection. Preoperative skin preparation may potentially decrease the bacterial load and consequently, the risk of periprosthetic joint infections.

Conventional vs. endoscopic-assisted curettage of benign bone tumours. An experimental study.

Background: This experimental study aimed at directly comparing conventional and endoscopic-assisted curettage towards (1) amount of residual tumour tissue (RTT) and (2) differences between techniques regarding surgical time and surgeons' experience level.

Methods: Three orthopaedic surgeons (trainee, consultant, senior consultant) performed both conventional (4x each) and endoscopic-assisted curettages (4x each) on specifically prepared cortical-soft cancellous femur and tibia sawbone models. "Tumours" consisted of radio-opaque polyurethane-based foam injected into prepared holes.

Identifying the blue patient: preoperative screening for depression.

Preoperative depression is an underappreciated comorbidity that has important implications for postoperative outcomes. Screening for symptoms of depression before surgery can identify patients with or without a previous diagnosis of depression who could benefit from perioperative interventions to improve mood. Preoperative screening programmes are feasible to implement, although care must be taken to ensure that patients who are most likely to benefit are included.

Effect of Machine Learning on Anaesthesiology Clinician Prediction of Postoperative Complications: The Perioperative ORACLE Randomised Clinical Trial.

Background: Anaesthesiology clinicians can implement risk mitigation strategies if they know which patients are at greatest risk for postoperative complications. Although machine learning models predicting complications exist, their impact on clinician risk assessment is unknown.

Methods: This single-centre randomised clinical trial enrolled patients age ≥18 undergoing surgery with anaesthesiology services.

Effect of Telemedicine Support for Intraoperative Anaesthesia Care on Postoperative Outcomes: The TECTONICS Randomised Clinical Trial.

Background: Novel applications of telemedicine can improve care quality and patient outcomes. Telemedicine for intraoperative decision support has not been rigorously studied.

Methods: This single centre randomised clinical trial (RCT, clinicaltrials.

Predictors for severe persisting pain in rheumatoid arthritis are associated with pain origin and appraisal of pain.

Objectives: To determine the proportion of patients with rheumatoid arthritis (RA) with severe persisting pain and to identify predictive factors despite treatment-controlled disease activity.

Methods: This prospective multicentre study included outpatients with RA scheduled for escalation of anti-inflammatory treatment due to active disease and severe pain (Disease Activity Score 28 (DAS28)>3.2 and Visual Analogue Scale (VAS)>50).

Epidemiology and Treatment of Patients With Primary Open Angle Glaucoma in Germany: A Health Claims Data Analysis.

Prcis: Based on a large administrative database of German claims data, our study provides current estimates of the prevalence and incidence of primary open angle glaucoma (POAG) in Germany and describes selected outcomes for prevalent patients with POAG.

Purpose: To estimate the prevalence and incidence of POAG in Germany, to describe the patient population in terms of comorbidity burden, routine care, and overall healthcare resource utilization (HCRU) and associated costs, and to describe treatment patterns over time in patients undergoing relevant laser procedures.

Materials And Methods: Based on anonymized German claims data, we carried out a retrospective, noninterventional study covering calendar years 2016-2021.

Biofilms and core pathogens shape the tumor microenvironment and immune phenotype in colorectal cancer.

Extensive research has explored the role of gut microbiota in colorectal cancer (CRC). Nonetheless, metatranscriptomic studies investigating the functional implications of host-microbe interactions in CRC are scarce. Therefore, we characterized the influence of CRC core pathogens and biofilms on the tumor microenvironment (TME) in 40 CRC, paired normal, and healthy tissue biopsies using fluorescence hybridization (FISH) and dual-RNA sequencing.

Attenuating ribosome load improves protein output from mRNA by limiting translation-dependent mRNA decay.

Developing an effective mRNA therapeutic often requires maximizing protein output per delivered mRNA molecule. We previously found that coding sequence (CDS) design can substantially affect protein output, with mRNA variants containing more optimal codons and higher secondary structure yielding the highest protein outputs due to their slow rates of mRNA decay. Here, we demonstrate that CDS-dependent differences in translation initiation and elongation rates lead to differences in translation- and deadenylation-dependent mRNA decay rates, thus explaining the effect of CDS on mRNA half-life.

Brain-Hazardous Medications and Potential Subadequate Antidepressant Dosing in Older Surgical Patients Receiving Home Antidepressants: An Observational Study of a Large US Health System.

Background: Older surgical patients with depression often experience poor postoperative outcomes. Poor outcomes may stem from brain-hazardous medications and subadequate antidepressant dosing.

Methods: This was a retrospective, observational cohort study covering the period between January 1, 2021 and December 31, 2021.