10 results match your criteria: "Regional Hospital of Ben Arous[Affiliation]"

. Breastfeeding practices fall short of optimal levels globally, despite its known health benefits and World Health Organization endorsements. We aimed through this study to firstly estimate the global prevalence of principal indicators of breastfeeding practice in Tunisia.

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Towards implementing telemedicine in Tunisia: A knowledge, attitude and practice study among medical doctors.

F1000Res

September 2024

Gynaecology and Obstetrics Department, Regional Hospital of Ben Arous, Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, 1006, Tunisia.

The use of information and communication technology such as telemedicine occupies nowadays a huge place in modern medicine practice all over the world, mainly after the COVID-19 pandemic. However, its implementation in Tunisia and other developing countries has achieved little success with low utilization and can be challenging for several reasons. In this study, our aim was to assess the knowledge, attitudes and practice of Tunisian medical doctors regarding telemedicine.

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Introduction: The overcrowding of intensive care units during the corona virus pandemic increased the number of patients managed in the emergency department (ED). The detection timely of the predictive factors of mortality and bad outcomes improve the triage of those patients.

Aim: To define the predictive factors of mortality at 30 days among patients admitted on ED for covid-19 pneumonia.

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Research Problem: Hypertension is a multifactorial disease that affects approximately one third of the Tunisian adult population. It is a major risk factor for stroke and cardiovascular disease. Environmental and psychosocial factors play an important role in hypertension onset and control.

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Importance of the reticulocyte hemoglobin equivalent in the exclusion of latent iron deficiency.

Ann Biol Clin (Paris)

July 2023

Clinical laboratory, regional hospital of Ben Arous, Ben Arous, Tunisia., Tunis el Manar university, faculty of medicine of Tunis 1000 Tunis, Tunisia.

Background: Iron deficiency is an underdiagnosed public health problem, especially in developing countries, that can conceal serious underlying illnesses. Early diagnosis and treatment of latent iron deficiency (LID) is crucial. Reticulocyte hemoglobin equivalent (RET-He), was reported to be a cost-effective tool that reflects the iron availability at erythropoiesis.

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Fifty-four carbapenem non-susceptible Klebsiella pneumoniae (CNSKP) isolates were collected from a Tunisian hospital over a period of 13 consecutive months. Carbapenemase production and the prevalence of carbapenemase-encoding genes were investigated using combined-disk test (CDT), modified Carba NP (mCarba NP) test, and UV-spectrophotometry method complemented by PCR experiments and sequencing. Carbapenemase production was detected by the mCarba NP test and CDT in 92.

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Introduction: Laboratory medicine has an important role in the management of COVID-19. The aim of this study was to analyze routinely available blood parameters in intensive care unit COVID-19 patients and to evaluate their prognostic value.

Patients And Methods: This is a retrospective, observational, single-center study including consecutive severe COVID-19 patients who were admitted into the intensive care unit of Ben Arous Regional Hospital in Tunisia from 28 September 2020 to 31 May 2021.

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: In this study, we investigated the association of two polymorphisms (rs869109213 and rs2070744) in the gene and one polymorphism II in the αβ integrin gene () with the risk of diabetic retinopathy (DR) in a Tunisian population. : The study investigated of 110 type 2 diabetes mellitus (T2DM) and 127 DR patients. The genotypes of the 4b/4a (rs869109213) and -786T/C (rs2070744) polymorphisms and of the II polymorphism of were studied using the PCR or PCR-RFLP method.

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Background And Objective: Accurate mass segmentation in mammographic images is a critical requirement for computer-aided diagnosis systems since it allows accurate feature extraction and thus improves classification precision.

Methods: In this paper, a novel automatic breast mass segmentation approach is presented. This approach consists of mainly three stages: contour initialization applied to a given region of interest; construction of fuzzy contours and estimation of fuzzy membership maps of different classes in the considered image; integration of these maps in the Chan-Vese model to get a fuzzy-energy based model that is used for final delineation of mass.

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