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جامعة عمّار ثليجي – الأغواط

Université Amar Telidji de Laghouat

Archive ouverte de la recherche, des thèses et des cours pédagogiques
الأرشيف المفتوح للبحوث والمذكرات والدروس

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Faculty of Civil Engineering And Architecture
كلية الهندسة المدنية والمعمارية
Faculty of Economic And Commercial Sciences And Management Sciences
كلية العلوم الاقتصادية والتجارية وعلوم التسيير
Faculty of Human Sciences And Islamic Sciences And Civilizations
كلية العلوم الإنسانية و العلوم الإسلامية والحضارة
Faculty of Law And Political Science
كلية الحقوق والعلوم السياسية
Faculty of Letters And Languages
كلية الآداب و اللغات

Recent Submissions

L’intérêt de l'hystéroscopie d’office dans le diagnostic et la prise en charge des pathologies endocavitaires utérines au sein de l’EHS mère et enfant Hakim Saadan à Laghouat 2025-2026
(Université Amar Telidji de Laghouat Faculté de Médecine, 2026-07-14) GHRIEB Nacereddine; DACI Abdelkader; CHENINI Said
Introduction Hysteroscopy is an essential and necessary diagnostic and therapeutic tool in the management of intracavitary uterine pathologies. Objective To study the clinical value of office hysteroscopy in the diagnosis and management of intracavitary uterine pathologies at the Hakim Saadan Mother and Child Hospital (EHS) in Laghouat. Materials and Methods This is a prospective study involving a series of 109 diagnostic hysteroscopy cases performed between November 20, 2025, and April 30, 2026, in the Laghouat province. Data analysis was conducted using a database that included patient profiles, imaging, technical descriptions, biopsy procedures, and potential complications. Results • Demographics: The mean age was 44.3 years (range: 23–79 years). • Indications: The primary indication was bleeding (45.87%), followed by infertility work-ups (27.52%), ultrasound anomalies (13.76%), amenorrhea (3.76%), recurrent pregnancy loss (1.88%), pelvic pain (0.94%), and recurrent infections (0.94%). • Findings: Uterine cavity anomalies were detected in 81.66% of cases. The findings included: o Polyps: 41.28% o Synechiae (adhesions): 11.92% o Endometrial hypertrophy: 9.17% o Fibroids: 2.75% o Uterine septa: 2.75% o Suspicion of malignancy: 2.75% o Endometrial hyperplasia: 1.83% o Endometrial atrophy: 1.83% o Endometritis: 1.83% o Adenomyosis: 1.83% o Isthmocele: 1.83% o Trophoblastic retention: 0.91% o Cerebroid tissue: One case. • Safety and Procedures: The complication rate was 0.04%. Office hysteroscopy allowed for several procedures to be performed without anesthesia or premedication, including the removal of small polyps and endometrial biopsies. The results obtained were satisfactory and sustainable. Conclusion Office hysteroscopy is a safe and simple procedure characterized by low pain levels and a low failure and complication rate. It can be performed in an outpatient setting without anesthesia. Currently, it has become the gold standard diagnostic and therapeutic technique for intracavitary uterine lesions.
L'ÉVALUATION DES PERFORMANCES DIAGNOSTIQUES DE DEUX MODÈLES D'INTELLIGENCE ARTIFICIELLE (MAIA AI ET GPT-5.2) DANS L'INTERPRÉTATION DE LA RADIOGRAPHIE THORACIQUE : ÉTUDE COMPARATIVE À L'HÔPITAL MIXTE DE LAGHOUAT
(universite ammar thelidji laghouat faculte de medecine, 2026) GACEM FATIMA WAFAA; GHERIBI IMANE
Artificial intelligence is playing an increasingly important role in medical imaging, particularly in the interpretation of chest radiographs. The aim of this study was to evaluate and compare the diagnostic performance of two artificial intelligence models, GPT-5.2 and MAIA AI, in identifying pneumonia, pneumothorax, pleural effusion, and normal chest X-rays. This was an analytical observational study with mixed retrospective and prospective data collection, including 110 chest radiographs. The results from both models were compared to the interpretation of an expert pulmonologist, which was considered the gold standard. MAIA AI demonstrated superior diagnostic performance for pneumonia and pneumothorax, while both models showed comparable performance in detecting pleural effusion and normal chest radiographs. These findings suggest that artificial intelligence represents a promising tool for aiding radiological diagnosis, but it should be used to complement human expertise.
The prevalence of Bone Marrow Aplasia Following Chemotherapy in Cancer Patients
(University of Ammar Thleidji of Laghouat Faculty of Medicine, 2026-06-20) Khelfaoui Hajer Aya; Charrak Rihab
Chemotherapy-induced bone marrow suppression represents a significant clinical challenge in cancer treatment, with multiple agents including doxorubicin, carboplatin, cisplatin, lenalidomide, thalidomide, and vincristine identified as causative factors. The temporal pattern of myelotoxicity follows a predictable course, with alkylating agents causing acute myelosuppression. The condition presents as three primary cytopenias—neutropenia (neutrophil count <1500 cells/mm³), thrombocytopenia (platelet count <10,000/µL), and anemia (hemoglobin <10 g/dL)—with associated clinical manifestations including infections bleeding complications, and fatigue. Risk factors span patient-related elements (age, comorbidities, genetic factors), disease-related factors (cancer type and stage), and treatment related variables (cumulative dose, drug combinations, concurrent medications), with the highest risk of severe neutropenia occurring during the first chemotherapy cycle. Management strategies encompass supportive care with transfusions and myeloid growth factors, chemotherapy dose modifications or delays, and specific interventions including erythropoietin-stimulating agents and thrombopoietin. The clinical impact extends beyond hematologic parameters, as neutropenia and thrombocytopenia limit chemotherapy dosing and frequency, creating treatment dilemmas between maintaining cancer control and managing potentially life-threatening cytopenias.
Development of a Smartphone Application for Diagnostic Support and Therapeutic Management of Psychiatric Emergencies
(University of Ammar Thelidji, Laghouat Faculty of Medicine, 2026-06-26) Ben Said Sanaa; Hariri Salma
A psychiatric emergency is defined as a clinical situation requiring an immediate response, as soon as acute psychological distress is identified by the patient, their relatives, or a physician. It necessitates rapid and appropriate management in order to prevent any worsening of the condition and to ensure the patient’s safety. Our thesis work consisted in the development of a mobile application dedicated to psychiatric emergencies, designed in collaboration with the Faculty of Computer Science. This project is part of an innovative approach to digital health in Algeria. The application is intended for medical students as well as healthcare professionals, serving both as a pedagogical tool and as a clinical decision-support system in the management of the most common psychiatric emergencies. The methodology adopted is based on: - An extensive literature review to select reliable and up-to-date medical data. - The organization and structuring of these data into clear decision-making pathways adapted to emergency settings. - The development of a functional application on the Android platform. The application covers the main psychiatric emergencies encountered in clinical practice, including delirium, psychomotor agitation, suicide attempts, panic attacks, psychomotor inhibition (stupor state), postpartum psychosis, neuroleptic malignant syndrome, addictive emergencies and psychiatric disorders secondary to organic conditions. Furthermore, this application aims to improve the diagnostic reasoning and the initial management of psychiatric emergencies, particularly in contexts where access to a psychiatric specialist is limited. It also serves as a complementary educational resource for teaching of psychiatry in hospital and academic settings. This work represents an initial contribution to the field of medical applications dedicated to psychiatric emergencies in Algeria, opening perspectives for continuous improvement and further development of its functionalities.
Prevalence of Musculoskeletal Disorders Among Healthcare Workers at Colonel Lotfi Hospital in 2026
(Amar Thelidji University – Laghouat Faculty of Medicine, 2025) Kechida Ilyes; Abdelmadjid Mansour Mohamed Abderraouf; Naouri Youcef
Background: Work-related musculoskeletal disorders (WMSDs) represent a major occupational health challenge in healthcare settings worldwide. Healthcare professionals are particularly vulnerable due to the physically demanding nature of their work, including patient handling, prolonged standing, repetitive movements, and exposure to awkward postures. In Algeria, WMSDs remain underrecognized as an occupational health concern, with limited data available on their prevalence among hospital staff. Objectives: The aim of this study was to assess the prevalence of musculoskeletal disorders among healthcare professionals at the Colonel Lotfi Hospital of Laghouat, and to analyze their distribution according to sociodemographic characteristics, occupational factors, and anatomical localization. Methods: An observational, descriptive, cross-sectional epidemiological study was conducted from January to April 2026 across all departments of the EPH of Laghouat. A total of 248 (HCWs) including physicians, surgeons, nurses, and technicians — were surveyed using a structured self-administered questionnaire incorporating the Nordic Musculoskeletal Questionnaire (NMQ). Sociodemographic, anthropometric, and occupational data were collected and analyzed using Microsoft Excel. Results: The overall prevalence of WMSDs was 79.8% (n = 198), affecting nearly four out of five healthcare workers surveyed. The sample was predominantly female (56.6%) with a median age of 34 years. Nurses constituted the most affected professional category, with a prevalence rate of 88.5%, followed by surgeons (80%) and non-surgical physicians (73.9%). Among the affected population, 77.5% presented with multi-site involvement. The low back (lumbar region) was the most frequently reported anatomical site (84.8%), followed by the neck (49.5%) and shoulders (45.5%). Temporal work factors were strongly associated with symptom burden: 75.8% of affected workers reported working shifts exceeding 10 hours, and over 90% worked more than 30 hours per week. Workers with more than 21 years of professional seniority showed the highest prevalence rates (100% and 88.8% for the 21–30 and >30 years groups, respectively). Conclusion: This study reveals a high and concerning prevalence of WMSDs among healthcare professionals at EPH Laghouat, consistent with international data from comparable healthcare settings. The results highlight the urgent need for targeted ergonomic interventions, institutional prevention programs, and systematic occupational health monitoring within Algerian hospitals.