Clinical characteristics and prognosis of patients treated as invasive pulmonary aspergillosis outside of severe immunosuppression.

This study aimed to identify clinical characteristics and develop a prognostic model for non-neutropenic patients with invasive pulmonary aspergillosis (IPA). A retrospective analysis of 151 IPA patients was conducted, with patients categorized into survival (n = 117) and death (n = 34) groups. Clinical data, including demographics, laboratory tests, and imaging, were collected.

Multi scale multi attention network for blood vessel segmentation in fundus images.

Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treatment of vision-threatening ailments. However, this task is challenging due to limited contextual information, variations in vessel thicknesses, the complexity of vessel structures, and the potential for confusion with lesions. In this paper, we introduce a novel approach, the MSMA Net model, which overcomes these challenges by replacing traditional convolution blocks and skip connections with an improved multi-scale squeeze and excitation block (MSSE Block) and Bottleneck residual paths (B-Res paths) with spatial attention blocks (SAB).

Development of a predictive nomogram for postoperative acute respiratory distress syndrome in Stanford type A aortic dissection patients: a retrospective study.

Introduction And Objectives: This retrospective study aimed to develop a nomogram to predict the risk of postoperative acute respiratory distress syndrome (ARDS) in patients with Stanford type A acute aortic dissection.

Methods: The study included patients who underwent surgical repair for Stanford type A acute aortic dissection between January 2020 and December 2023. Demographic data, surgical details, intraoperative information, and postoperative outcomes were collected.

Diagnostic value of three urine miRNAs composite score in BK virus nephropathy.

Noninvasive detection of BK virus, for early detection of BK polyomavirus-associated nephropathy post-renal transplantation, is currently an active subject of investigation. In this study, we developed and validated a novel risk score diagnostic assay (PymiR Score) based on measurements of three urine miRNAs, including BKV-related miRNA (bkv-miR-B1-5p), polyomavirus-related miRNA (bkv-miR-B1-3p) and renal tubular injury-related miRNA (miR-21-5p), by quantitative polymerase chain reaction. The limit of detection of the three miRNAs was 2 × 10 copies/mL, while the intra- and inter-assay coefficients of variation were in the ranges of 2.

Clinical significance analysis of microRNA-199a-3p in gingival crevicular fluid for patients with chronic periodontitis.

Objective: The aim was to investigate the clinical performance of microRNA-199a-3p (miR-199a-3p) in patients with chronic periodontitis.

Methods: 91 patients with chronic periodontitis and 78 healthy individuals were enrolled for the research subjects. MiR-199a-3p expression was detected using real-time quantitative PCR (RT-qPCR) assay.

External validation of the "simplified hospital" scale as a predictor of 30-day readmission after hospitalisation in osi araba medical services.

Background: A readmission is defined as a new admission to hospital for at least one night in the 30 days following a discharge. Some are caused by events unrelated to the reason for the initial admission (unavoidable) and others caused by the same pathology (related). Different predictive models allow the identification of patients at higher risk of readmission.

Hypomethylation of the low-density lipoprotein receptor class A domain containing 4 gene in rheumatoid arthritis.

Background: Rheumatoid arthritis (RA) is a chronic inflammatory disease linked to epigenetic changes, particularly DNA methylation. While LDLRAD4 has been implicated in RA through GWAS, its role in RA via methylation remains unclear.

Objectives: To investigate LDLRAD4 methylation patterns in RA and evaluate its potential as a diagnostic and inflammatory biomarker.

Development and validation of a risk stratification model for stroke recurrence after acute ischemic stroke in young adults: A nomogram-based, multicenter retrospective study.

Objective: The prevalence of ischemic stroke in young adults has increased dramatically. However, factors associated with prognosis in this cohort have not been well studied. This study primary aimed to construct and validate a nomogram for predicting stroke recurrence and to achieve risk stratification of young adults after acute ischemic stroke (AIS).

Enhancing Osteoblast Activity and Accelerating Fracture Healing via miR-656-3p Downregulation: A Novel Targeting Strategy Focused on BMP-2 Expression.

Delayed fracture healing (DFH), a common complication of post-fracture surgery, exhibits an incompletely understood pathogenesis. The present study endeavors to investigate the roles and underlying mechanisms of miR-656-3p and Bone Morphogenetic Protein-2 (BMP-2) in DFH. It was recruited 94 patients with normal fracture healing (NFH) and 88 patients with DFH of the femoral neck.

The link between the atherogenic index of plasma and the risk of hypertension: Analysis from NHANES 2017-2020.

Background: The atherogenic index of plasma (AIP) is a newly identified metabolic marker for atherosclerosis. However, there are inconsistent conclusions regarding the relationship between AIP and hypertension.

Methods: The study subjects were sourced from the National Health and Nutrition Examination Survey (NHANES) database from 2017 to 2020.

Identification and validation of key autophagy-related genes in lupus nephritis by bioinformatics and machine learning.

Introduction: Lupus nephritis (LN) is one of the most frequent and serious organic manifestations of systemic lupus erythematosus (SLE). Autophagy, a new form of programmed cell death, has been implicated in a variety of renal diseases, but the relationship between autophagy and LN remains unelucidated.

Methods: We analyzed differentially expressed genes (DEGs) in kidney tissues from 14 LN patients and 7 normal controls using the GSE112943 dataset.

Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization.

In 2019, the novel coronavirus swept the world, exposing the monitoring and early warning problems of the medical system. Computer-aided diagnosis models based on deep learning have good universality and can well alleviate these problems. However, traditional image processing methods may lead to high false positive rates, which is unacceptable in disease monitoring and early warning.

Distinguishing benign and malignant myxoid soft tissue tumors: Performance of radiomics vs. radiologists.

Introduction: Benign and malignant myxoid soft tissue tumors have shared clinical, imaging, and histologic features that can make diagnosis challenging. The purpose of this study is comparison of the diagnostic performance of a radiomic based machine learning (ML) model to musculoskeletal radiologists.

Methods: Manual segmentation of 90 myxoid soft tissue tumors (45 myxomas and 45 myxofibrosarcomas) was performed on axial T1, and T2FS or STIR magnetic resonance imaging sequences.

Factor V Serves as an Early Biomarker for Graft Loss After Liver Transplant: A Prospective Evaluation.

Background: Low post-operative day (POD) 1 Factor V has been retrospectively associated with graft loss after liver transplantation when stratified by a cutoff of 0.36 U/mL. We aimed to validate this prospectively.

The development and evaluation of nine obesity-based indices for gallstones in U.S. adults.

Objective: Gallstones have gradually become a highly prevalent digestive disease worldwide. This study aimed to investigate the association of nine different obesity-related indicators (BRI, RFM, BMI, WC, LAP, CMI, VAI, AIP, TyG) with gallstones and to compare their predictive properties for screening gallstones.

Methods: Data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) for the 2017-2020 cycle, and weighted logistic regression analyses with multi-model adjustment were conducted to explore the association of the nine indicators with gallstones.

Multimodal assessment predicts cognitive impairment after aneurysmal subarachnoid hemorrhage: a prospective cohort study.

Background: Risk factors and mechanisms of cognitive impairment (CI) after aneurysmal subarachnoid hemorrhage (aSAH) are unclear. This study used a neuropsychological battery, MRI, ERP and CSF and plasma biomarkers to predict long-term cognitive impairment after aSAH.

Materials And Methods: 214 patients hospitalized with aSAH (n = 125) or unruptured intracranial aneurysms (UIA) (n = 89) were included in this prospective cohort study.

Comparative Analysis of Machine Learning Algorithms Used for Translating Aptamer-Antigen Binding Kinetic Profiles to Diagnostic Decisions.

Current approaches for classifying biosensor data in diagnostics rely on fixed decision thresholds based on receiver operating characteristic (ROC) curves, which can be limited in accuracy for complex and variable signals. To address these limitations, we developed a framework that facilitates the application of machine learning (ML) to diagnostic data for the binary classification of clinical samples, when using real-time electrochemical measurements. The framework was applied to a real-time multimeric aptamer assay (RT-MAp) that captures single-frequency (12.

Prediction of surgical necessity in children with ureteropelvic junction obstruction using machine learning.

Background: Hydronephrosis developing at the ureteropelvic junction due to obstruction poses clinical challenges as it has the potential to cause renal damage.

Aims: This study aims to evaluate how well machine learning models such, as XGBClassifier and Logistic Regression can be used to predict the need for treatment in patients, with hydronephrosis resulting from ureteropelvic junction obstruction.

Methods: Hydronephrosis was diagnosed in the medical records of patients from January 2015 to December 2020.

Distinct Ocular Surface Microbiome in Keratoconus Patients Correlate With Local Immune Dysregulation.

Purpose: Keratoconus (KC) is characterized by irregular astigmatism along with corneal stromal weakness and is associated with altered immune status. Tissue resident microbiomes are known to influence the immune status in other organs, but such a nexus has not been described in ocular conditions. Therefore, we examined the ocular surface microbiome of patients with KC and correlated it to the immune cell and tear molecular factor profiles.

Artificial Intelligence in Predicting Ocular Hypertension After Descemet Membrane Endothelial Keratoplasty.

Purpose: Descemet membrane endothelial keratoplasty (DMEK) has emerged as a novel approach in corneal transplantation over the past two decades. This study aims to identify predisposing risk factors for post-DMEK ocular hypertension (OHT) and develop a preoperative predictive model for post-DMEK OHT.

Methods: Patients who underwent DMEK at Gangnam Severance Hospital between 2017 and 2024 were included in the study.

Identification and Validation of a m6A-Related Long Noncoding RNA Prognostic Model in Colorectal Cancer.

Accumulating research indicates that N6-methyladenosine (m6A) modification plays a pivotal role in colorectal cancer (CRC). Hence, investigating the m6A-related long noncoding RNAs (lncRNAs) significantly improves therapeutic strategies and prognostic assessments. This study aimed to develop and validate a prognostic model based on m6A-related lncRNAs to improve the prediction of clinical outcomes and identify potential immunological mechanisms in CRC.

Modeling dosimetric benefits from daily adaptive RT for gynecological cancer patients with and without knowledge-based dose prediction.

Purpose: Daily online adaptive radiotherapy (ART) improves dose metrics for gynecological cancer patients, but the on-treatment process is resource-intensive requiring longer appointments and additional time from the entire adaptive team. To optimize resource allocation, we propose a model to identify high-priority patients.

Methods: For 49 retrospective cervical and endometrial cancer patients, we calculated two initial plans: the treated standard-of-care (Initial) and a reduced margin initial plan (Initial) for adapting with the Ethos treatment planning system.

Identifying Primary Sites of Spinal Metastases: Expert-Derived Features vs. ResNet50 Model Using Nonenhanced MRI.

Background: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.

Purpose: To develop and validate artificial intelligence (AI) models using noncontrast MRI to identify primary sites of spinal metastases, aiming to enhance diagnostic efficiency.

Anatomical Predictors of Access-Related Vascular Complications Following Transfemoral Transcatheter Aortic Valve Replacement.

Background: Access-related vascular complications (VCs) after percutaneous transfemoral transcatheter aortic valve replacement (TAVR) are associated with poor clinical outcomes and remain a significant challenge despite technological advances. The aim of this study was to identify anatomic predictors of access-related VCs after TAVR on preprocedural contrast-enhanced multidetector computed tomography (MDCT).

Aims: The aim of this study was to identify anatomical predictors of access-related VCs after TAVR on preprocedural contrast-enhanced MDCT.

[A new way for the differential diagnosis of hypogonadotropic hypogonadism and constitutional delay of puberty in adolescent men aged 13.5-17 years].

Background: Differential diagnosis of hypogonadotropic hypogonadism (HH) and constitutional delay of puberty (CDP) is extremely important since with the latter puberty begins and completes without any medical intervention and in the case of HH puberty does not occur or is incomplete. Failure to start treatment on time leads to medical and psychosocial maladjustment of the patient.

Aim: Development of a method for differential diagnosis of hypogonadotropic hypogonadism and constitutional delay of puberty in boys 13.