Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course.

Background: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. We sought to understand how the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction.

Correlation between seminal α-glycerylphosphorylcholine and semen parameters in infertile patients pre- and post-sub-inguinal micro-varicocelectomy: a prospective study.

Background: Varicocele (Vx) which is the most treatable cause of male infertility, is also associated with low sperm count, decreased sperm motility and increased sperm abnormal morphology. We aimed in the current study to evaluate the correlation between seminal α-Glycerylphosphorylcholine (αGPC) and semen parameters in infertile patients pre- and post- sub-inguinal micro-varicocelectomy.

Methods: The current comparative prospective study was carried out on 20 male patients who presented to Kasr Al-Ainy Hospitals from March 2022 to March 2023 as well as 20 healthy controls.

Preoperative prediction of pituitary neuroendocrine tumor invasion using multiparametric MRI radiomics.

Objective: The invasiveness of pituitary neuroendocrine tumor is an important basis for formulating individualized treatment plans and improving the prognosis of patients. Radiomics can predict invasiveness preoperatively. To investigate the value of multiparameter magnetic resonance imaging (mpMRI) radiomics in predicting pituitary neuroendocrine tumor invasion into the cavernous sinus (CS) before surgery.

Using integrative bioinformatics approaches and machine-learning strategies to identify potential signatures for atrial fibrillation.

Atrial fibrillation (AF) is the most common tachyarrhythmia and seriously affects human health. Key targets of AF bioinformatics analysis can help to better understand the pathogenesis of AF and develop therapeutic targets. The left atrial appendage tissue of 20 patients with AF and 10 patients with sinus rhythm were collected for sequencing, and the expression data of the atrial tissue were obtained.

Assessment of heart rate deceleration capacity, heart rate deceleration runs, heart rate acceleration capacity, and lipoprotein-related phospholipase A2 as predictors in individuals with dementia.

Background: Autonomic dysfunction plays an essential role in dementia, however, it is not known whether electrocardiogram autonomic dysfunction-related indicators are associated with the severity of dementia. In this study, we attempted to investigate whether these indicators are correlated in patients with vascular dementia and Alzheimer's disease compared with normal health individuals. For this purpose, we measured and analyzed the predictive value of heart rate deceleration capacity (DC), heart rate deceleration runs (DRs), heart rate acceleration capacity (AC) along with the plasma levels of lipoprotein-associated phospholipase A2 (Lp-PLA2).

MicroRNA-155 as Biomarker and Its Diagnostic Value in Breast Cancer: A Systematic Review.

The investigation of microRNAs (miRNAs) for the purpose of identifying biomarkers and new treatments for breast cancer has been gaining traction from scientists in recent years. Of all the miRNAs, miR-155 has been reportedly involved in breast cancer development as it regulates various cellular processes such as glucose uptake, proliferation, metastasis, and migration. Various efforts have been done towards researching miR-155 as a biomarker in breast cancer; however, the results were varied.

Integrative proteomic analysis reveals the potential diagnostic marker and drug target for the Type-2 diabetes mellitus.

Objective: The escalating prevalence of Type-2 diabetes mellitus (T2DM) poses a significant global health challenge. Utilizing integrative proteomic analysis, this study aimed to identify a panel of potential protein markers for T2DM, enhancing diagnostic accuracy and paving the way for personalized treatment strategies.

Methods: Proteome profiles from two independent cohorts were integrated: cohort 1 composed of 10 T2DM patients and 10 healthy controls (HC), and cohort 2 comprising 87 T2DM patients and 60 healthy controls.

ACCREDIT: Validation of clinical score for progression of COVID-19 while hospitalized.

Unlabelled: COVID-19 is no longer a global health emergency, but it remains challenging to predict its prognosis.

Objective: To develop and validate an instrument to predict COVID-19 progression for critically ill hospitalized patients in a Brazilian population.

Methodology: Observational study with retrospective follow-up.

Repair effects of offcut-carbon-fiber-powder-modified PU-PMMA copolymer on flexure-after-impact behaviors of composite laminate.

Polymer matrix composites are popular for their lightweight and high strength. Poly (methyl methacrylate) (PMMA), known for its transparency, can be toughened with polyurethane (PU) to expand its applications. This study further strengthened PU-PMMA by adding carbon fiber powder from offcut fabrics (oCFP), enhancing mechanical and adhesion properties.

Prediction of isocitrate dehydrogenase mutation status in WHO grade II glioma by diffusion kurtosis imaging.

Purpose: Isocitrate dehydrogenase (IDH) mutation status serves as a crucial prognostic indicator for glioma, typically assessed via immunohistochemical analysis post-surgery. Given the invasiveness of this approach, perhaps we can utilise convenient and noninvasive magnetic resonance imaging (MRI) methods to predict IDH mutation status. However, the current landscape lacks a standardised MRI technique for accurately predicting IDH mutations.

Developing and validating the Sierra Leone perinatal psychological distress scale through an emic-etic approach.

Background: Addressing perinatal psychological distress in Sierra Leone faces challenges due to the lack of culturally appropriate assessment tools, despite recent WHO recommendations for screening during the pre- and postpartum periods. While high-income countries use tools like the Edinburgh Postnatal Depression Scale or Patient Health Questionnaire-9 (PHQ-9), their cross-cultural validity and efficacy in developing countries are uncertain. The aim of this study was to address this gap by developing a functional assessment tool, culturally appropriate screening tool for perinatal psychological distress, and validate it with the PHQ-9.

Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms.

Background: Depression is being increasingly acknowledged as an important risk factor contributing to coronary heart disease (CHD). Currently, there is no predictive model specifically designed to evaluate the risk of coronary heart disease among individuals with depression. We aim to develop a machine learning (ML) model that will analyze risk factors and forecast the probability of coronary heart disease in individuals suffering from depression.

Impact of high hemoglobin levels on carotid artery intima-media thickness and its predictive value for hypertension in high-altitude areas: a real-world study.

Background And Purpose: The hemoglobin levels in the peripheral blood of individuals living at high altitudes are significantly higher than normal levels. These levels are closely associated with atherosclerosis and cardiovascular events. This study aimed to investigate the correlation between hemoglobin levels in the peripheral blood and hypertension in high-altitude regions, providing a basis for preventing and treating primary hypertension in these regions.

A nomogram for predicting neonatal acute respiratory distress syndrome in patients with neonatal pneumonia after 34 weeks of gestation.

Objective: To establish a prediction nomogram for early prediction of neonatal acute respiratory distress syndrome (NARDS).

Methods: This is a retrospective cross-sectional study conducted between January 2021 and December 2023. Clinical characteristics and laboratory results of cases with neonatal pneumonia were compared in terms of presence of NARDS diagnosis based on the Montreux Definition.

Prognostic value of HSP27 in 28-day mortality in septic ICU patients: a retrospective cohort study.

Background: This study aimed to investigate the association between serum heat shock protein 27 (HSP27) levels and 28-day mortality in patients with sepsis.

Methods: This retrospective study analyzed the clinical data of 76 septic patients admitted to the intensive care unit (ICU). Fifty non-septic ICU patients and 50 healthy individuals served as control groups.

Effect of urban structure, population density and proximity to contagion on COVID-19 infections during the SARS-CoV-2 Alpha and Omicron waves in Málaga, Spain, March 2020 to December 2021.

BackgroundThe potential impact of urban structure, as population density and proximity to essential facilities, on spatial variability of infectious disease cases remains underexplored.AimTo analyse the spatial variation of COVID-19 case intensity in relation to population density and distance from urban facilities (as potential contagion hubs), by comparing Alpha and Omicron wave data representing periods of both enacted and lifted non-pharmaceutical interventions (NPIs) in Málaga.MethodsUsing spatial point pattern analysis, we examined COVID-19 cases in relation to population density, distance from hospitals, health centres, schools, markets, shopping malls, sports centres and nursing homes by non-parametric estimation of relative intensity dependence on these covariates.

Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach.

Head and neck squamous cell carcinoma (HNSCC) exhibits a poor 5-year survival rate. TNFRSF4 is gaining attention in tumor therapy. The objective of this study was to forecast the expression of TNFRSF4 in HNSCC tissue using analysis of pathological images and investigate its possible molecular mechanisms.

Predicting Neoplastic Gallbladder Polyps: The Role of Current Surgical Indications and Preoperative Images.

Background/aims: Cholecystectomy for gallbladder (GB) polyps is performed primarily based on preoperative images. This study examined the accuracy of surgical indications commonly used in clinical practice for detecting neoplastic polyps and investigated further clues for predicting neoplastic polyps.

Methods: This retrospective study included 385 patients who underwent a cholecystectomy for GB polyps.

Differential diagnostic value of P wave dispersion and QT interval dispersion between psychogenic pseudosyncope and vasovagal syncope in children and adolescents.

Background: Both psychogenic pseudosyncope (PPS) and vasovagal syncope (VVS) in children and adolescents are diseases of transient loss of consciousness. It is difficult to distinguish them clinically. This paper will study the differential diagnostic value of P wave dispersion (Pd) and QT interval dispersion (QTd) between PPS and VVS.

Establishment and evaluation of a nomogram prediction model for risk of atrial fibrillation recurrence after the cox-maze IV procedure.

The Cox-Maze IV (CMIV) procedure is the mainstay in surgical treatment of atrial fibrillation (AF), but the rate of AF recurrence after the CMIV procedure in patients with persistent AF is difficult to accurately evaluate. In this study, we aimed to develop and validate a risk prediction model of AF recurrence within 1 year after undergoing the Cox-Maze IV procedure. We retrospectively enrolled 303 consecutive patients who underwent the Cox-Maze IV procedure for persistent AF concomitant with other cardiac procedures at our institute between 2019 and 2021.

Neutrophil-to-lymphocyte ratio as a predictor of short- and long-term complications in pediatric burns.

Background: Neutrophil-to-Lymphocyte Ratio (NLR) has been postulated as a useful inflammatory biomarker in the prediction of complications in different pediatric diseases. Our aim is to analyze the predictive value of NLR in the development of complications in burned children, both in the short-term (need for grafting) and in the long-term (need for surgery of the sequelae).

Methods: A retrospective study was performed on burned patients under 18-years admitted to our Burn Unit between 2015 and 2021.

A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography.

Background: Acute and critical neurological diseases are often accompanied with elevated intracranial pressure (ICP), leading to insufficient cerebral perfusion, which may cause severe secondary lesion. Existing ICP monitoring techniques often fail to effectively meet the demand for real-time noninvasive ICP monitoring and warning. This study aimed to explore the use of electrical impedance tomography (EIT) to provide real-time early warning of elevated ICP by observing cerebral perfusion.

Risk factors and prognosis analysis of dysphagia after occipitocervical fusion surgery: a retrospective study of 43 cases.

Objectives: To analyze the risk factors for developing dysphagia after occipitocervical fusion (OCF) and investigate possible mechanisms and prognosis.

Methods: The case data of 43 patients who underwent OCF were retrospectively reviewed. Patients were divided into group A (dysphagia group) and group B (non-dysphagia group) based on Bazaz scoring criteria.

Increased nerve density adversely affects outcome in colorectal cancer and denervation suppresses tumor growth.

Background: The colon and rectum are highly innervated, with neural components within the tumor microenvironment playing a significant role in colorectal cancer (CRC) progression. While perineural invasion (PNI) is associated with poor prognosis in CRC, the impact of nerve density and diameter on tumor behavior remains unclear. This study aims to evaluate the prognostic value of nerve characteristics in CRC and to verify the impact of nerves on tumor growth.

Could serum Raftlin and GPER-1levels be new biomarkers for early detection of non-small cell lung cancer?

Background: Lung cancer is the leading cause of cancer-related deaths worldwide. Therefore, the search for new biomarkers continues in order to diagnose lung cancer at an early stage. In this study, we investigated blood levels of G-protein associated membrane estrogen receptor (GPER)-1 and Raftlin as markers of early-stage in lung cancer.