Publications by authors named "Akram Yazdani"

Background: The administration of preoperative oral carbohydrate (POC) has been shown to enhance patient well-being and expedite postoperative recovery. Nevertheless, evidence regarding its efficacy in orthopedic patients remains insufficient and warrants further investigation. This study aimed to address gaps by evaluating the effect of preoperative oral dextrose (POD) intake on perioperative well-being parameters (including thirst, hunger, anxiety, pain, nausea, and vomiting) in patients undergoing hip and lower extremity surgeries with spinal anesthesia.

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While monoclonal antibody-based targeted therapies have substantially improved progression-free survival in cancer patients, the variability in individual responses poses a significant challenge in patient care. Therefore, identifying cancer subtypes and their associated biomarkers is required for assigning effective treatment. In this study, we integrated genotype and pre-treatment tissue RNA-seq data and identified biomarkers causally associated with the overall survival (OS) of colorectal cancer (CRC) patients treated with either cetuximab or bevacizumab.

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Background: Thyroid diseases are the second most common hormonal disorders, necessitating accurate diagnostics. Advances in artificial intelligence and radiomics have enhanced diagnostic precision by analyzing quantitative imaging features. However, reproducibility challenges arising from factors such as the field-of-view (FOV) zooming and segmentation variability limit the clinical application of radiomic-based models.

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Objective: Accurate length measurements are essential for infants to identify growth deficiencies and adjust nutrition accordingly. The gold standard for length measurement in infants is using a length board with two people to obtain an accurate clinical assessment. We aimed to improve the number of measurements with the desired minimal difference, defined as a discrepancy ≤1 cm between nurse and audit measurements, in our center.

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Hematopoietic stem cell transplantation (HSCT) emerged over sixty years ago as a groundbreaking and potentially curative treatment for patients with acute myeloid leukemia (AML) who were not responding to chemotherapy. In this study, we aimed to investigate prognostic factors for survival after allo-HSCT in AML patients. This retrospective cohort study was carried out using data from 742 adult AML patients underwent allo-HSCT.

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Background: Gene signatures derived from transcriptomic-causal networks offer potential for tailoring clinical care in cancer treatment by identifying predictive and prognostic biomarkers. This study aimed to uncover such signatures in metastatic colorectal cancer (CRC) patients to aid treatment decisions.

Methods: We constructed transcriptomic-causal networks and integrated gene interconnectivity into overall survival (OS) analysis to control for confounding genes.

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  • The study investigates the glymphatic system's role in disability due to multiple sclerosis (MS) using a non-invasive imaging technique called diffusion-tensor image analysis along the perivascular space (DTI-ALPS).
  • It involved 118 MS patients divided into two groups based on disability levels, measuring brain parenchymal fraction, lesion load, and DTI-ALPS index.
  • Results showed significant differences in glymphatic function between the groups, with the DTI-ALPS index correlating with disease duration and disability, suggesting its potential as a biomarker for MS-related disability.
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  • - Autism spectrum disorder (ASD) is a complex condition influenced by genetic and environmental factors, but its connection with metabolic changes is not well understood.
  • - A study analyzed plasma samples from 200 children with ASD and 200 typically developing controls to discover specific metabolites that could serve as biomarkers for the disorder.
  • - The research found distinct metabolic patterns in ASD children, identifying four significant metabolites, including three fatty acids and the amino acid sarcosine, which may inform future interventions for ASD.
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  • * The primary motivation for supplementation is to enhance body recovery post-exercise, with many athletes believing it can improve performance and is not harmful.
  • * The study also indicated a positive correlation between supplement use and overall feeding behavior, suggesting that supplement users tend to have healthier eating habits, like consuming more lean proteins and nuts.
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  • Blood-based small molecule metabolites can provide valuable insights into health and disease risk, especially in understanding heart failure (HF) through metabolite profiling in individuals who initially do not have HF.
  • The study used network analysis to reveal how metabolites interact and their roles in influencing HF risk, while controlling for confounding factors among metabolites.
  • Key findings indicate that certain metabolites, like glycine and asparagine, are linked to both dietary intake and genetic factors, highlighting their importance in predicting HF incidence and understanding complex health conditions.
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  • The study focuses on the risks of re-admission and mortality among COVID-19 patients, aiming to identify comorbidities that influence these outcomes using a joint frailty model.
  • Data was collected from 112 COVID-19 patients who were re-hospitalized more than twice, revealing that conditions like cancer and hyperlipidemia notably increased the risk of re-admission and death.
  • The findings suggest that while malignancies and hyperlipidemia are harmful, lung diseases may offer some protection against both mortality and re-admission, potentially due to corticosteroid treatment effects.
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  • Autism Spectrum Disorder (ASD) is linked to genetic and environmental factors, but the specific metabolic changes associated with it are not well understood.
  • A study compared metabolite profiles between children with ASD and typically developing (TD) controls, identifying four distinct metabolites, including three fatty acids and the amino acid sarcosine, that were associated with ASD.
  • The results suggest that these metabolic alterations could offer insights into the biological underpinnings of ASD and open up new avenues for research and potential biomarkers.
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  • Monoclonal antibody therapies have improved cancer survival rates, but individual responses vary, necessitating the identification of cancer subtypes and biomarkers for effective treatment.* -
  • This study focused on colorectal cancer, combining genotype and RNA-seq data to find biomarkers linked to overall survival for patients treated with cetuximab or bevacizumab.* -
  • Notably, a gene found to be overexpressed in certain subtypes was linked to shorter survival for cetuximab patients, suggesting that specific subtypes may respond better to certain treatments.*
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  • PMS (premenstrual syndrome) affects various aspects of health-related quality of life (HRQoL) and can be influenced by body mass index (BMI), with a focus on how dietary changes can impact symptoms and overall well-being.
  • A randomized controlled trial involving 60 obese/overweight women compared the effects of alternate-day modified fasting (ADMF) and daily calorie restriction (DCR) diets over 8 weeks, measuring several health metrics including HRQoL and PMS symptoms.
  • Results showed that the ADMF diet significantly improved mood symptoms related to PMS and enhanced overall HRQoL, physical function, and mental health compared to the DCR diet.
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  • This study focused on identifying gene interconnectivity, specifically in metastatic colorectal cancer (CRC), to improve patient treatment by linking gene networks to overall survival (OS) outcomes.
  • Researchers analyzed data from 1,165 patients in a clinical trial comparing treatments with cetuximab and bevacizumab, discovering gene signatures that predict patient survival based on specific treatments.
  • The identified gene signatures not only showed downregulation in CRC tumors compared to normal tissue but also highlighted proteins that interact functionally, indicating their potential as novel biomarkers for personalized cancer treatment.
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  • - The study analyzed metabolite profiles from individuals without heart failure to understand the connections between different metabolites and their potential role in heart failure incidence.
  • - Researchers identified specific metabolites, like glycine and asparagine, that are linked to heart failure risk, taking into account polygenic factors and the influence of dietary amino acids.
  • - The findings highlight how metabolites are interconnected and may help bridge genetic and lifestyle factors in heart failure development, contributing to a better mechanistic understanding of the condition.
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  • The study explored the impact of Alternate-day Modified Fasting (ADMF) on sleep quality, body weight, and daytime sleepiness among 56 overweight or obese women over an 8-week period.
  • Results indicated that the ADMF group experienced a greater reduction in weight and Body Mass Index (BMI) compared to a Daily Calorie Restriction (CR) group, though there were no significant differences in sleep quality and daytime sleepiness between the two diets.
  • However, ADMF was associated with improvements in subjective sleep quality and reductions in daytime dysfunction, suggesting it may provide benefits for weight control and sleep-related issues.
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  • - This study investigates how different diets, namely modified alternate-day fasting and daily calorie restriction, affect the severity of premenstrual syndrome (PMS) and the health-related quality of life (HRQoL) in overweight or obese women aged 18 to 50.
  • - An 8-week randomized controlled trial design will be used, with participants allocated to either fasting or calorie restriction groups, measuring outcomes like PMS severity, BMI, and body fat composition.
  • - The trial is ethically approved and aims to publish its findings in academic journals while keeping participants informed about the results.
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  • The study investigates survival factors for breast cancer patients from four different medical centers, addressing the variability in data across these locations.
  • Using a censored quantile regression model, researchers found significant relationships between metastasis and tumor grades with survival time.
  • The results revealed notable disparities in survival across medical centers, highlighting the effectiveness of the model in controlling for treatment differences.
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  • * A total of 962 participants, including 403 CKD patients and 559 healthy individuals, reported differences in COVID-19 symptoms, with healthy controls experiencing more common cold-like symptoms.
  • * The results indicate no significant difference in COVID-19 infection rates across various stages of CKD, suggesting that CKD patients do not have a higher susceptibility to the virus compared to healthy individuals.
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  • Sleep disturbances affect about one-third of adults and are linked to obesity due to inflammatory cytokines disrupting sleep-wake rhythms; therefore, improving sleep through weight loss is important.
  • The study is a randomized controlled trial aimed at assessing the impact of a modified intermittent fasting diet versus daily calorie restriction on sleep quality and various body metrics over 8 weeks among women with obesity or overweight.
  • Key measurements for evaluating outcomes include changes in sleep quality, daytime sleepiness, insomnia severity, BMI, body fat, and other anthropometric indices, with the goal of determining which dietary approach yields better results.
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  • The increasing integration of biological data across multiple levels, like genomics and proteomics, aims to uncover new mechanisms in health and disease, with a focus on causal frameworks such as Mendelian randomization (MR).
  • Classical MR methods often target individual molecular components without addressing their interactions; in contrast, causal network models enhance the framework by considering these complex relationships.
  • This review explores the progression from classical MR to causal networks, highlighting methods for identifying these networks, conducting sensitivity analyses, and demonstrating their utility in integrating large-scale omic data for better biological insights.
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  • The study focuses on understanding disease-free survival in breast cancer by analyzing various prognostic factors using a quantile regression model based on data from 2056 women.
  • Key factors examined include age, education, tumor size, lymph node ratio, tumor grade, hormonal receptor status, and treatment types.
  • Results indicate that larger tumor size, higher grade tumors, and increased lymph node ratio are significantly associated with decreased disease-free survival, emphasizing the importance of these factors in treatment planning.
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  • The CALGB/SWOG 80405 trial investigated the impact of various tumor immune characteristics on overall survival in first-line patients with metastatic colorectal cancer receiving different treatment combinations, including bevacizumab and cetuximab.
  • Researchers analyzed RNA sequencing from primary tumors to measure immune signatures related to different cell types, including macrophages and T cells.
  • Results indicated that high M2 macrophage levels and TGFβ expression linked to shorter survival, while higher plasma cell and activated memory CD4+ T cell levels correlated with longer survival, suggesting new immune features could enhance patient response and inform immunotherapy strategies.
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  • The Cox proportional hazards model is a common statistical method for analyzing censored data, focusing on hazard rates instead of survival times, but can be complex to interpret.
  • Quantile regression offers a simpler interpretation of censored data, allowing for analysis of the quantile function of failure time and how various factors affect different quantiles of survival.
  • The study compared five quantile regression methods in analyzing breast cancer survival, finding that tumor grade and disease stage significantly impacted the 20th percentile of survival time, with results indicating that higher stage and grade were associated with reduced survival times.
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