Publications by authors named "Hassan Mohammadi"

Objectives: Laminectomy is one of the most prevalent back surgeries. Considering the importance of controlling and minimizing surgical complications, this study was conducted to determine the effect of Sevoflurane and Propofol on the state of renal complications in patients undergoing laminectomy surgery.

Methods: This clinical trial was conducted in Ilam (Iran).

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Article Synopsis
  • The study aimed to identify factors influencing mortality in patients with spinal cord injuries in the ICU.
  • It analyzed data from 643 patients, highlighting that lower Glasgow Coma Scale (GCS) scores and multiple traumas were linked to higher mortality rates.
  • Key comorbidities like cerebrovascular accidents, cardiac arrest, and ARDS significantly impacted patient outcomes, suggesting the need for focused interventions to reduce complications.
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Diabetes mellitus (DM) is a persistent, progressive, and multifaceted disease characterized by elevated blood glucose levels. Type 2 diabetes mellitus is associated with a relative deficit in insulin mainly due to beta cell dysfunction and peripheral insulin resistance. Metformin has been widely prescribed as a primary treatment option to address this condition.

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Background: Anterior endoscopic access to middle cranial base lesions becomes feasible in the presence of infratemporal fossa (ITF) involvement. Various approaches, including endoscopic endonasal, transoral sublabial, and transorbital methods, have been described for accessing the ITF through a transmaxillary corridor. Among these approaches, endonasal access is the most commonly preferred, while the transorbital approach is a novel technique gaining popularity.

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Minimally invasive suturectomy has been reported to significantly decrease the economic cost of treating infants with craniosynostosis. Nonetheless, treatment should be accompanied by a cranial remolding orthosis to maintain the constant correction and reshaping of the skull throughout the infant's development.

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Abstract: In recent years, zebrafish have been proposed as a model for rapid analysis of gene function and biological activity due to high genetic similarities with humans. The aim of this study was to determine the effects of overfeeding-induced diabetes w/o glucose on inflammatory cytokine as well as insulin and glucose transporter-2 genes (GLUT2) genes expression in the pancreas in zebrafish.

Materials And Methods: The experiment was performed on 120 zebrafish (duplicated sample) with a specific genetic mapping (AB-Wild type).

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Case Description: This is a report of a 2.5-month-old infant with bilateral lambdoid and sagittal synostosis who underwent minimally invasive suturectomy followed by cranial remolding orthosis (CRO).

Objectives: To evaluate the result of minimally invasive suturectomy followed by CRO treatment in an infant with bilateral lambdoid and sagittal synostosis.

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Objective: In this study, zebrafish was used as a biological model to induce type 2 diabetes mellitus through glucose. Then, the effect of metformin and silibinin combination was examined on elevated blood glucose, intestinal tissues, liver enzymes, and TNF-α, IFN-γ, INL1β genes as inflammation marker genes.

Methods: The liver enzymes (AST, ALT, and ALP) derived from fish viscera homogenate supernatants were assayed in an auto-analyzer.

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Serotonin (5-HT) levels have been associated with several exclusively metabolic disorders. Herein, a new approach for 5-HT level as a novel biomarker of diabetes mellitus is considered using a simple nanocomposite and HPLC method. Reduced graphene oxide (rGO) comprising gold nanoparticles (AuNPs) was decorated with 18-crown-6 (18.

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One way to give some properties such as antibacterial and good frictional properties to sutures is the application of natural antibacterial and hydrophilic components on their surfaces through layer by layer assembly (LBL) technique. In this regard, Chitosan as an antibacterial polycationic natural polymer along with Hyaluronic acid (HA) as a polyanionic polysaccharide could be used to form a polyelectrolyte complex. In this study, HA was extracted from rooster comb using different solvents.

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Study Design: Cross-sectional study.

Purpose: This study aimed to cross-culturally translate and validate the low back outcome score (LBOS) in Iran.

Overview Of Literature: Lumbar disc hernia (LDH) is the most common diagnoses of low back pain and imposes a heavy burden on both individual and society.

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Study Design: Cross-sectional.

Purpose: Clinical outcome study comparing the Copenhagen Neck Functional Disability Scale (CNFDS) and modified Japanese orthopedic association (mJOA) assessment scales in patients with cervical spondylotic myelopathy (CSM).

Overview Of Literature: Comparison of instruments that measure patient-reported outcomes is needed.

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Study Design: Cross-sectional.

Purpose: To translate and culturally adapt an Iranian version of the Pain Sensitivity Questionnaire (PSQ) in Iran.

Overview Of Literature: Instruments measuring patient reported outcomes should satisfy certain psychometric properties.

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The aim of the study was to compare outcome of surgery in patients with lumbar canal stenosis (LCS) based on magnetic resonance imaging (MRI) morphology. This was a prospective study of 96 consecutive patients who underwent surgery at 143 levels of LCS (from L3-L4 to L5-S1). Using patterns on T2 axial MRI, the type of stenosis was determined for each patient.

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Background: The aim of this study was to develop an artificial neural networks (ANNs) model for predict successful surgery outcome in lumbar disc herniation (LDH).

Methods: An ANN model and a logistic regression (LR) model were used to predict outcomes outcomes. The age, gender, duration of symptoms, smoking status, surgical level, visual analog scale (VAS) of leg/ back pain, the Zung Depression Scale (ZDS), and the Japanese Orthopaedic Association (JOA) Score, were determined as the input variables for the established ANN model.

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Study Design: Cross-sectional.

Purpose: To develop a strategy to determine a sound method for decision-making based on postoperative clinical outcome satisfaction.

Overview Of Literature: The ideal management of thoracolumbar and lumbar burst fractures (TLBF) without neurological compromise remains controversial.

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Study Design: Cross-sectional.

Purpose: To translate and validate the Iranian version of the Copenhagen Neck Functional Disability Scale (CNFDS).

Overview Of Literature: Instruments measuring patient-reported outcomes should satisfy certain psychometric properties.

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Study Design: Case-control design.

Purpose: To evaluate the role of the self-administered, self-reported history questionnaire (SSHQ) in identifying types of lumbar spinal stenosis (LSS).

Overview Of Literature: Diagnosis of types of LSS is controversial.

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Aim: Recently, AOSpine trauma knowledge forum proposed the AOSpine thoracolumbar injury classification (AOSTLIC) system and suggested that it was reliable. However, reliability data from additional institutions for the AOSTLIC system are not available. This study was to examine the reliability of the AOSTLIC system in patients with thoracolumbar (TL) fractures.

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Objective: Few studies exist on the demographics and trends of pediatric central nervous system (CNS) tumors in Iran. In this study, we retrospectively reviewed all cases with confirmed CNS tumors admitted to Mofid Pediatric Hospital, Tehran, Iran during the last 18 years.

Materials & Methods: Data on gender, age of diagnosis, pathologic classification and tumor location were extracted from the available medical records.

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Study Design: Case-control study.

Purpose: To design a new tool for classifying lumbar spinal canal stenosis (CLSCS).

Overview Of Literature: Grading of patients with lumbar spinal canal stenosis (LSCS) is controversial.

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Background: A lack of consensus exists regarding indications for surgery for lumbar spinal canal stenosis (LSCS). Hence, the aim of this study was to develop an artificial neural network (ANN) model that is designed to accurately select patients for surgery or non-surgical options and to compare such with the traditional clinical decision making approach in LSCS patients.

Methods: An ANN model and a logistic regression (LR) model were used as predicting models.

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Background: The aim of this study was to develop an artificial neural network (ANN) model to predict recurrent lumbar disk herniation (LDH).

Methods: An ANN model and a logistic regression model were used to predict recurrent LDH. The age, sex, duration of symptoms, smoking status, recurrent LDH, level of herniation, type of herniation, sports activity; occupational lifting, occupational driving, duration of symptoms, visual analog scale (VAS), the Zung Depression Scale (ZDS), and the Japanese Orthopaedic Association (JOA) Score, were determined as the input variables for the established ANN model.

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