Successful endovascular treatment of post-traumatic subclavian arteriovenous fistula.

Subclavian arteriovenous fistulas (AVFs) are rare entities, mostly reported as a result of traumatic and iatrogenic injuries. In the literature, congenital subclavian AVFs are also presented. Diagnosis of traumatic AVF may present challenges given the variable clinical presentation, varying location, and difficulty to locate on imaging.

Diagnostic uncertainty and management of low-grade appendiceal mucinous neoplasm-a case report and review of the literature.

Low-grade appendiceal mucinous neoplasm (LAMN) is a rare entity identified in ~1% of patients undergoing appendectomy. The presentation often varies, making diagnosis challenging. Timely identification and treatment are critical to prevent rupture, which may lead to pseudomyxoma peritonei.

Utilizing T-Line Mesh for Periumbilical Hernia Repair: Evaluation of Short-term Outcomes.

Background: Abdominal periumbilical hernias are prevalent within the adult population. When symptomatic, quality of life may be affected. This case series of 10 patients evaluates the short-term outcomes of using the T-Line mesh in periumbilical hernia repair.

Impact of awake extracorporeal membrane oxygenation on patients mortality with cardiogenic shock: a systematic review and trial sequential meta-analysis based on observational studies.

Objectives: The use of awake extracorporeal membrane oxygenation (ECMO, without intubation or sedation under ECMO support in patients with cardiogenic shock is growing rapidly because emerging clinical investigations indicates it may reduce morbidity associated with sedation and intubation. We systematically reviewed the efficacy of awake ECMO and provided evidence for clinical practitioners and researchers.

Design: Systematic review and trial sequential meta-analysis based on observational studies.

Impact of select actionable genomic alterations on efficacy of neoadjuvant immunotherapy in resectable non-small cell lung cancer.

Background: Neoadjuvant immune checkpoint inhibitors (ICIs) have improved survival outcomes compared with chemotherapy in resectable non-small cell lung cancer (NSCLC). However, the impact of actionable genomic alterations (AGAs) on the efficacy of neoadjuvant ICIs remains unclear. We report the influence of AGAs on treatment failure (TF) in patients with resectable NSCLC treated with neoadjuvant ICIs.

Anti-Programmed Death Ligand 1 Plus Targeted Therapy in Anaplastic Thyroid Carcinoma: A Nonrandomized Clinical Trial.

Importance: Anaplastic thyroid carcinoma (ATC) is a rare and lethal cancer. Although progress has been made in recent years in patients with mutated BRAF tumors, those who respond initially eventually die of their disease; furthermore, there are no approved therapies for non-BRAF mutated tumors.

Objective: To determine whether treatment with matched-targeted therapy plus immune checkpoint inhibitors were associated with improved overall survival (OS).

Modeling electrical impedance in brain tissue with diffusion tensor imaging for functional neurosurgery applications.

Decades ago, neurosurgeons used electrical impedance measurements in the brain for coarse intraoperative tissue differentiation. Over time, these techniques were largely replaced by more refined imaging and electrophysiological localization. Today, advanced methods of diffusion tensor imaging (DTI) and finite element method (FEM) modeling may permit non-invasive, high-resolution intracerebral impedance prediction.

Privacy preservation for federated learning in health care.

Artificial intelligence (AI) shows potential to improve health care by leveraging data to build models that can inform clinical workflows. However, access to large quantities of diverse data is needed to develop robust generalizable models. Data sharing across institutions is not always feasible due to legal, security, and privacy concerns.

Building a translational cancer dependency map for The Cancer Genome Atlas.

Cancer dependency maps have accelerated the discovery of tumor vulnerabilities that can be exploited as drug targets when translatable to patients. The Cancer Genome Atlas (TCGA) is a compendium of 'maps' detailing the genetic, epigenetic and molecular changes that occur during the pathogenesis of cancer, yet it lacks a dependency map to translate gene essentiality in patient tumors. Here, we used machine learning to build translational dependency maps for patient tumors, which identified tumor vulnerabilities that predict drug responses and disease outcomes.

Optimize individualized energy delivery for septic patients using predictive deep learning models.

Background And Objectives: We aim to establish deep learning models to optimize the individualized energy delivery for septic patients.

Methods And Study Design: We conducted a study of adult septic patients in ICU, collecting 47 indicators for 14 days. We filtered out nutrition-related features and divided the data into datasets according to the three metabolic phases proposed by ESPEN: acute early, acute late, and rehabilitation.

Mutational Characteristics and Clinical Outcomes for Lung Adenocarcinoma With EGFR Germline Mutations.

Introduction: Germline mutations driving lung cancer have been infrequently reported in the literature, with EGFR T790M being a known germline mutation identified in 1% of NSCLCs. Typically, a somatic EGFR mutation is acquired to develop lung adenocarcinoma. Osimertinib has become a standard-of-care treatment for EGFR T790M-positive lung cancer.

Efficacy of taurine-enhanced enteral nutrition in improving the outcomes of critically ill patients: A systematic review and meta-analysis.

Background: Taurine is considered an immunomodulatory agent. From current reports on clinical studies, we conducted a systematic review and meta-analysis to investigate the effects of taurine-enhanced enteral nutrition (EN) on the outcomes of critically ill patients to resolve conflicting evidence in literature.

Methods: Literature from PubMed, EMBASE, Web of Science, Cochrane Library, CNKI, SINOMED, and WanFang databases were retrieved, and randomized controlled trials (RCTs) were identified.

Assessing readiness to use electronic health record data for outcome ascertainment in clinical trials - A case study.

Background: Variable data quality poses a challenge to using electronic health record (EHR) data to ascertain acute clinical outcomes in multi-site clinical trials. Differing EHR platforms and data comprehensiveness across clinical trial sites, especially if patients received care outside of the clinical site's network, can also affect validity of results. Overcoming these challenges requires a structured approach.

Artificial intelligence driven malnutrition diagnostic model for patients with acute abdomen based on GLIM criteria: a cross-sectional research protocol.

Background: Patients with acute abdomen often experience reduced voluntary intake and a hypermetabolic process, leading to a high occurrence of malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) criteria have rapidly developed into a principal methodological tool for nutritional diagnosis. Additionally, machine learning is emerging to establish artificial intelligent-enabled diagnostic models, but the accuracy and robustness need to be verified.

Survival outcomes and toxicity of adjuvant immunotherapy after definitive concurrent chemotherapy with proton beam radiation therapy for patients with inoperable locally advanced non-small cell lung carcinoma.

Introduction: Adjuvant immunotherapy (IO) following concurrent chemotherapy and photon radiation therapy confers an overall survival (OS) benefit for patients with inoperable locally advanced non-small cell lung carcinoma (LA-NSCLC); however, outcomes of adjuvant IO after concurrent chemotherapy with proton beam therapy (CPBT) are unknown. We investigated OS and toxicity after CPBT with adjuvant IO versus CPBT alone for inoperable LA-NSCLC.

Materials And Methods: We analyzed 354 patients with LA-NSCLC who were prospectively treated with CPBT with or without adjuvant IO from 2009 to 2021.

The chromatin landscape of healthy and injured cell types in the human kidney.

There is a need to define regions of gene activation or repression that control human kidney cells in states of health, injury, and repair to understand the molecular pathogenesis of kidney disease and design therapeutic strategies. Comprehensive integration of gene expression with epigenetic features that define regulatory elements remains a significant challenge. We measure dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and H3K27ac, H3K4me1, H3K4me3, and H3K27me3 histone modifications to decipher the chromatin landscape and gene regulation of the kidney in reference and adaptive injury states.

Electrical Stimulation of Regenerative Peripheral Nerve Interfaces (RPNIs) Induces Referred Sensations in People With Upper Limb Loss.

Individuals with upper limb loss lack sensation of the missing hand, which can negatively impact their daily function. Several groups have attempted to restore this sensation through electrical stimulation of residual nerves. The purpose of this study was to explore the utility of regenerative peripheral nerve interfaces (RPNIs) in eliciting referred sensation.

Genome-scale functional genomics screening highlights genes impacting protein fucosylation in Chinese hamster ovary cells.

N-linked glycosylation is a common post-translational modification that has various effects on multiple types of proteins. The extent to which an N-linked glycoprotein is modified and the identity of glycans species involved is of great interest to the biopharmaceutical industry, since glycosylation can impact the efficacy and safety of therapeutic monoclonal antibodies (mAbs). mAbs lacking core fucose, for example, display enhanced clinical efficacy through increased antibody-dependent cellular cytotoxicity.

Dorsal subthalamic deep brain stimulation improves pain in Parkinson's disease.

Introduction: Inconsistent effects of subthalamic deep brain stimulation (STN DBS) on pain, a common non-motor symptom of Parkinson's disease (PD), may be due to variations in active contact location relative to some pain-reducing locus of stimulation. This study models and compares the loci of maximal effect for pain reduction and motor improvement in STN DBS.

Methods: We measured Movement Disorder Society Unified PD Rating Scale (MDS-UPDRS) Part I pain score (item-9), and MDS-UPDRS Part III motor score, preoperatively and 6-12 months after STN DBS.