Acute Myeloid Leukemia with Normal Cytogenetics and -Mutation: Impact of Mutation Topography on Outcomes.

: About half of adults with acute myeloid leukemia with normal cytogenetics (CN-AML) have mutations. There is controversy regarding their prognosis and best therapy. : We studied 150 subjects with these features using targeted regional sequencing.

Evaluating the Efficacy of Levetiracetam on Non-Cognitive Symptoms and Pathology in a Tau Mouse Model.

Alzheimer's disease (AD) is marked by amyloid-β plaques and hyperphosphorylated tau neurofibrillary tangles (NFTs), leading to cognitive decline and debilitating non-cognitive symptoms. This study aimed to evaluate compounds from four different classes in a short-term (7-day) study using transgenic tau mice to assess their ability to reduce non-cognitive symptoms. The best candidate was then evaluated for longer exposure to assess non-cognitive symptoms, cognition, and pathology.

Learning to Train and to Explain a Deep Survival Model with Large-Scale Ovarian Cancer Transcriptomic Data.

Ovarian cancer is a complex disease with poor outcomes that affects women worldwide. The lack of successful therapeutic options for this malignancy has led to the need to identify novel biomarkers for patient stratification. Here, we aim to develop the outcome predictors based on the gene expression data as they may serve to identify categories of patients who are more likely to respond to certain therapies.

Evaluating Feature Selection Methods for Accurate Diagnosis of Diabetic Kidney Disease.

: The increase in patients with type 2 diabetes, coupled with the development of complications caused by the same disease is an alarming aspect for the health sector. One of the main complications of diabetes is nephropathy, which is also the main cause of kidney failure. Once diagnosed, in Mexican patients the kidney damage is already highly compromised, which is why acting preventively is extremely important.

Comparative Analysis of Extracorporeal Shockwave Therapy, Bisphosphonate, and Wharton Jelly-Derived Mesenchymal Stem Cells in Preserving Bone and Cartilage Integrity and Modulating IL31, IL33, and BMP2 in the Cartilage of Ovariectomized Rat Model.

Osteoporosis (OP) is a chronic inflammatory bone disease characterized by reduced bone structure and strength, leading to increased fracture risk. Effective therapies targeting both bone and cartilage are limited. This study compared the therapeutic effects of extracorporeal shockwave therapy (ESWT), bisphosphonate (Aclasta), and human Wharton jelly-derived mesenchymal stem cells (WJMSCs) in a rat model of OP.

Gait-Based AI Models for Detecting Sarcopenia and Cognitive Decline Using Sensor Fusion.

: Sarcopenia and cognitive decline (CD) are prevalent in aging populations, impacting functionality and quality of life. The early detection of these diseases is challenging, often relying on in-person screening, which is difficult to implement regularly. This study aims to develop artificial intelligence algorithms based on gait analysis, integrating sensor and computer vision (CV) data, to detect sarcopenia and CD.

Application of the U-Net Deep Learning Model for Segmenting Single-Photon Emission Computed Tomography Myocardial Perfusion Images.

Background: Myocardial perfusion imaging (MPI) is a type of single-photon emission computed tomography (SPECT) used to evaluate patients with suspected or confirmed coronary artery disease (CAD). Detection and diagnosis of CAD are complex processes requiring precise and accurate image processing. Proper segmentation is critical for accurate diagnosis, but segmentation issues can pose significant challenges, leading to diagnostic difficulties.

Brolucizumab for the Treatment of Diabetic Macular Edema: An Optical Coherence Tomography-Based Analysis.

: The objectives of this study were to evaluate the structural and functional outcomes after the loading phase with brolucizumab in switched patients with diabetic macular edema (DME) and to identify potential predictive biomarkers of treatment response. : A total of 28 eyes with DME, switched to brolucizumab, were retrospectively reviewed. Main outcomes during the follow-up period, up to 6 weeks after the fifth injection, included changes in best-corrected visual acuity (BCVA), central subfield thickness (CST), macular volume, subfoveal choroidal thickness, intraretinal and subretinal fluid (IRF and SRF), cyst dimension including maximal horizontal cyst diameter (MHCD), maximal vertical cyst diameter (MVCD), width-to-height ratio (WHR), foveal avascular zone (FAZ) dimension, and vessel density (VD).

Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods.

Although COVID-19 is primarily known as a respiratory disease, there is growing evidence of neurological complications, such as ischemic stroke, in infected individuals. This study aims to evaluate the impact of COVID-19 on acute ischemic stroke (AIS) using radiomic features extracted from brain MR images and machine learning methods. This retrospective study included MRI data from 57 patients diagnosed with AIS who presented to the Department of Radiology at Hacettepe University Hospital between March 2020 and September 2021.

Efficient Explainable Models for Alzheimer's Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and is the most common cause of dementia. Early diagnosis of Alzheimer's disease is critical for better management and treatment outcomes, but it remains a challenging task due to the complex nature of the disease. Clinical data, including a range of cognitive, functional, and demographic variables, play a crucial role in Alzheimer's disease classification.

Swedish Genome-Wide Haplotype Association Analysis Suggests Breast Cancer Loci with Varying Risk-Modifying Effects.

To find support for risk-modifying genes in breast cancer, a haplotype GWAS in sporadic breast cancer cases was undertaken. The results were compared with the results from previous analyses in familial cases and all cases from the same Swedish cohort. In total, 2550 women with sporadic invasive breast cancer and 5021 healthy controls were included in a sliding-window haplotype GWAS using PLINK 1.

Assessing the Theoretical Efficacy of Combination Therapy Against Gram-Negative Infections in Neutropenic Pediatric Cancer Patients: Insights from the Statistical Analysis of Survey Data.

: Empirical antibacterial therapy for febrile neutropenia reduces mortality due to Gram-negative blood stream infections (BSIs). Pediatric guidelines recommend monotherapy with an antipseudomonal beta-lactam or a carbapenem and to add a second anti-Gram-negative agent in selected situations. We evaluated the changes in the proportions of resistance of beta-lactam monotherapies vs.

Coincidence of Concentric Vessel-Wall Contrast Enhancement in Moyamoya Disease and Acute Postoperative Ischemic Stroke During Revascularization Procedures.

Background: Concentric vessel-wall contrast enhancement (VW-CE) of the terminal carotid artery and its proximal branches may be linked to ischemic strokes, disease activity and progression in Moyamoya disease (MMD). The objective of this retrospective cohort study is to analyze the association between VW-CE and perioperative acute ischemic stroke (PAIS) occurring within 24 h after revascularization.

Methods: All previously untreated MMD patients who required revascularization and who had undergone preoperative MRI with VW-CE-sequences were included.

Rapid Detection of Fusions in Acute Promyelocytic Leukemia: CRISPR/Cas9 Nanopore Sequencing with Adaptive Sampling.

Acute promyelocytic leukemia (APL) accounts for approximately 10-15% of newly diagnosed acute myeloid leukemia cases and presents with coagulopathy and bleeding. Prompt diagnosis and treatment are required to minimize early mortality in APL as initiation of all-trans retinoic acid therapy rapidly reverses coagulopathy. The fusion is a hallmark of APL and its rapid identification is essential for rapid initiation of specific treatment to prevent early deaths from coagulopathy and bleeding and optimize patient outcomes.

A Structural Proteomics Exploration of Synphilin-1 and Alpha-Synuclein Interaction in Pathogenesis of Parkinson's Disease.

Pathological significance of interaction of Synphilin-1 with mutated alpha-synuclein is well known to have serious consequences in causing the formation of inclusion bodies that are linked to Parkinson's disease (PD). Information extracted so far pointed out that specific mutations, A53T, A30P, and E46K, in alpha-synuclein promote such interactions. However, a detailed structural study of this interaction is pending due to the unavailability of the complete structures of the large protein Synphilin-1 of chain length 919 residues and the mutated alpha-synuclein having all the reported specific mutations so far.

Machine Learning-Driven Metabolic Syndrome Prediction: An International Cohort Validation Study.

This study aimed to develop and validate a machine learning (ML)-based metabolic syndrome (MetS) risk prediction model. We examined data from 6155 participants of the China Health and Retirement Longitudinal Study (CHARLS) in 2011. The LASSO regression feature selection identified the best MetS predictors.

Oncologic and pregnancy outcomes of fertility-sparing treatment with medroxyprogesterone acetate in women with premalignant and malignant endometrial lesions: A case series.

Introduction: Current trends of delaying childbearing and the increasing incidence of endometrial cancer in nulliparous woman necessitate research and development of fertility sparing treatments. Hormonal therapy with progestins offers an alternative to surgical treatment for a select group of patients of reproductive-age, who wish to preserve their reproductive potential.

Materials And Methods: The study evaluates the effectiveness of medroxyprogesterone acetate therapy in patients with early-stage endometrial cancer, atypical endometrial hyperplasia or atypical polypoid adenomyoma, seeking to preserve fertility.

Anesthetic considerations for perioperative ECMO in lung transplantation.

The care for lung transplantation patients is a complex, multidisciplinary coordination of physician and non-physician teams throughout the perioperative period. The diversity of etiologies of recipient end-stage lung disease further complicate care, as recipients often present with concomitant end-stage cardiac disease. Recently, the use of extracorporeal membrane oxygenation has become the mechanical circulatory support of choice to provide cardiopulmonary stability throughout the perioperative period.

Robotic bronchoscopy: Evolution of advanced diagnostic technologies for pulmonary lesions.

Lung cancer is among one of the most commonly diagnosed malignancies and is the leading cause of cancer-related mortality in both men and women globally, with an estimated 1.8 million deaths annually. Moreover, it is also the leading cause of cancer related deaths in the United States (U.

"Thoracic anesthesia in patients with airborne disease".

Health care workers are at risk of infection from aerosolization of respiratory secretions, droplet and contact spread. This has gained great importance after the COVID19 pandemic. Intra-operative aerosol-generating procedures are arguably unavoidable in the routine provision of thoracic anesthesia.

Extracorporeal membrane oxygenation and pregnancy.

Critical illness during pregnancy poses significant challenges driven by complex interactions between physiological changes, pre-existing conditions, and healthcare disparities. In high-income countries, increasing maternal age and comorbidities complicate obstetric care by triggering an unprecedented rise in cardiac disease during pregnancy, while infections like influenza and COVID-19 are important causes of maternal adult respiratory distress syndrome. Extracorporeal membrane oxygenation (ECMO) gained prominence as a vital intervention, providing respiratory and/or cardiac support, for varying indications between antenatal and postpartum periods.

Managing cardiovascular disease in pregnant people: Defining the pregnancy heart team.

Cardiovascular disease is a leading cause of morbidity and mortality for pregnant patients. A significant portion of cardiac morbidity and mortality is preventable and related to poor or delayed recognition of clinical warning signs and oversights in management. The establishment of pregnancy heart teams facilitates multidisciplinary planning to improve management of people with cardiovascular disease.

Epidemiology, trends, and disparities in maternal mortality: A framework for obstetric anesthesiologists.

Since 2015, reductions in maternal mortality have stalled globally. In some parts of the world, severe maternal morbidity and mortality have increased, and most cases are thought to be from preventable causes. This is further exacerbated by significant racial, ethnic, and geographic disparities in maternal health outcomes, particularly among countries with diverse populations.

Interaction of the Gut-Liver-Brain Axis and the sterolbiome with sexual dysfunction in patients with cirrhosis.

There is a complex interplay between the gut microbes, liver, and central nervous system, a gut-liver-brain axis, where the brain impacts intestinal and hepatic function while the gut and liver can impact cognition and mental status. Dysregulation of this axis can be seen in numerous diseases. Hepatic encephalopathy, a consequence of cirrhosis, is perhaps the best studied perturbation of this system.

A systematic review and meta-analysis of health-related quality of life among patients with cardiovascular diseases in Ethiopia.

Introduction: Despite Ethiopia's best efforts, the physical, psychological, social, and environmental aspects of quality of life among patients with cardiovascular illnesses such as hypertension have not received adequate consideration. The quality of life among patients with cardiovascular diseases in Ethiopia has not been thoroughly examined; therefore, this study aimed to assess the prevalence and factors associated with health-related quality of life among patients with cardiovascular diseases.

Methods: The results of this systematic review and meta-analysis were reported in accordance with the International Recommended Reporting items for Systematic Review and Meta-analysis guidelines.