public health

Background: Acute rheumatic fever (ARF) is a systemic inflammatory disease resulting from an abnormal immune response to group A β-hemolytic streptococci. ARF is a major public health problem in developing countries, particularly in Senegal. The aim of this study was to evaluate the mutation penetrance and genetic diversity of exon 2 of the HLA-DRB1 gene in Senegalese patients with ARF. Results: DNA was extracted from the blood of patients with ARF. Exon 2 of the HLA-DRB1 gene was amplified by polymerase chain reaction and sequenced using the Sanger method. Bioinformatics software and databases (polyphen-2, SIFT and ProVean) were used to assess the pathogenicity of missense mutations. The results revealed a high level of polymorphism in exon 2 of the HLA-DRB1 gene, with 73 non-synonymous mutations between codons 21 and 89, which lie in the hypervariable region encoded by exon 2. Of the 73 variants tested, 44% were pathogenic, indicating their potential involvement in ARF onset. Conclusion: Our results indicate that the HLA-DRB1 mutations involvement in the onset of rheumatic fever.

Aim: Kidney stone disease, which can affect people of all ages and whose incidence increases day by day, is becoming a public health problem due to treatment costs. This study aims to determine how factors related to kidney stones affect the diagnosis of the disease when taken together, rather than determining their relationship with the disease one by one.Materials and methods: An open-access dataset containing kidney stone status and associated factors was used in the study. Mann Whitney U test and independent sample t-test were used in data analysis. Logistic regression was performed with the backward variable selection method to determine the factors associated with kidney stones. ROC analysis was used to determine the power of the variables that were significant as a result of logistic regression analysis, individually and together, in discriminating kidney stones.Results: According to the results of logistic regression analysis, gravity, cond, and urea calc variables were found to be associated with kidney stones. With ROC analysis, it can be said that urea, calc, and gravity variables with AUC values above 0.60 can distinguish kidney stones. When the combinations of these variables are examined, the AUC values of the binary combinations are between 0.734 and 0.759, while the AUC value obtained for the triple combination is 0.831.Conclusion: According to the results obtained from the article, it can be said that while the factors associated with the disease and used in the diagnosis have little effect on the diagnosis of the disease alone based on the AUC values obtained from the ROC analysis, it can be said that considering them together increases the accuracy in diagnosis. Therefore, considering the factors thought to be associated with the disease together may be more appropriate in diagnosis and may give more accurate results.

Introduction: Bacterial resistance is a threat to public health, as it is estimated that 37,000 people die due to hospital infections, most of them due to multidrug-resistant bacteria. In part, this resistance is due to the inappropriate use of antibiotics, with ceftriaxone being one of the most used. Therefore, this article aims to analyze the consequences of using ceftriaxone in the hospital environment. Methodology: This is an integrative qualitative review, following the PICO strategy, using the Embase, BVS, and Pubmed databases, with the guiding question being: “In patients admitted to a hospital environment (P), is ceftriaxone used appropriately (I) for the treatment of infections (CO)?” and the time frame from 2013 to 2023. Results: 272 articles were found in total, 46 obtained from the VHL, 62 from PubMed, and 164 from Embase. Of these, 66 were duplicates, leaving 206 works for title and summary reading. After reading, 79 were selected for full reading, with 7 articles ultimately being selected for the study. An average of 62.3% of inappropriate use was found, with the minimum value found being 19% and the maximum being 87.9%. The main reasons for this use were: indication, dose, frequency, and duration. Conclusion: From reading the articles, it is concluded that the inappropriate use of ceftriaxone is mainly due to: indication, dose, frequency, and duration of treatment. These elements must be monitored, as their inappropriate use increases the length of hospital stay and may be associated with the emergence of bacterial resistance.

Compacted bentonite or sand-bentonite mixtures are considered buffer/backfill materials in the engineering barriers of deep geological repositories for high-level nuclear waste (HLW) disposal in many countries. The design and long-term functionality of nuclear repositories have critical importance for environmental safety and public health. The initially unsaturated buffer material could become re-saturated long after following the sealing of the repository. Although the saturation degree of the buffer might decrease due to high temperatures and evaporation, it tends to increase with groundwater intrusion. Therefore, the soil water characteristic curves (SWCCs) for these unsaturated soils are a key factor in geotechnical engineering. Yet, the determination of SWCCs can be time-consuming and prone to inaccuracies. The HYPROP (Hydraulic Property Analyzer) evaporation technique is a preferred method for accurately determining water retention curves of soils. This reliable method was applied to estimate the water retention curves for sand-bentonite mixtures in the presence of boron minerals. Known for their minimal thermal expansion and commonly used in various industries, boron minerals may improve the thermal stability of sand-bentonite mixtures. The findings revealed that the boron addition increased the water retention capacity of the 10% bentonite mixtures but had a negligible impact on the 20% bentonite mixtures.

In the context of the global pandemic, public health screening has become paramount as the whole world including developed countries is going through a health crisis. A face mask prevents transpiration and protects against airborne transmitted bacteria or viruses. In the previous scenario of coronavirus, it was critical to eradicate this sickness and preserve our lives. Hence, prevention is better than cure becomes true. Accordingly, many precautionary measures were taken to reduce the spread of the virus. One such method of prevention is wearing a mask and regular monitoring of body temperature. This research dealt with the design and construction of an automatic entry barrier machine that integrates both facemask detection and scanning of individuals exhibiting elevated body temperature functionalities without any human interference. This was accomplished by simulating and synergizing a microprocessor (Raspberry Pi 3 Model B+), a Pi camera, an Infrared Non-contact Temperature sensor, a servo motor, and other components. The barrier arm opens and allows entrance at normal temperature by indicating a green light, displaying ‘allow’ on the LCD, and signaling once or preventing entrance at an elevated unacceptable temperature by indicating a red light, displaying ‘not allowed’ on the LCD, and signaling five (5) times.

This study assesses air pollution in Sichuan Province, China, from January 2019 to December 2023 using Copernicus Sentinel-5P satellite data. The analysis reveals distinct seasonal variations in levels of Carbon Monoxide (CO), Nitrogen Dioxide (NO₂), Sulfur Dioxide (SO₂), and Ozone (O₃), with urban areas experiencing higher concentrations due to industrial and vehicular emissions. CO and O₃ frequently exceeded WHO guidelines, particularly in winter and summer, indicating significant health risks. While most pollutant levels remained within safety limits, the findings highlight the importance of continuous monitoring and targeted mitigation strategies to improve air quality and safeguard public health, especially in urban environments.

It is quite alarming the increasing rate of antibacterial resistance all over the world considering the public health threat and the re-emergence of multi-drug resistant Enterobacteriaceae. The aim of this study is Antibacterial resistance and phenotypic detection of Extended Spectrum Beta-Lactamase (ESBL) producing Enterobacteriaceae isolated from human and animal fecal samples in selected local government areas of Nasarawa state, Nigeria was carried out in the study. Hundred (100) samples comprising human and animal (goats, cattle, and chicken) were collected and 55 samples were multidrug resistant. A commercial biochemical kit (Eneterosystem 18R) was used for the isolation and identification of Enterobacteriaceae. Kirby Bauer Disk Diffusion Method was used for antibacterial susceptibility testing of Enterobacteriaceae isolates. The Double Disc Synergy Test (DDST) method was also used for the phenotypic confirmation test of Extended Spectrum Beta Lactamase (ESBL). The occurrence of multidrug-resistant isolates shows that Escherichia coli (100.00%) which is the highest, Proteus mirabilis (14.54%), Klebsiella pneumoniae, and Salmonella enterica (10.90%), while the occurrence of Shigella flexneri (9.09%) was the lowest. The Enterobacteriaceae isolates were more resistant to Cefuroxime, Cefexime, Amoxicillin Clavulanate, and Imipenem/Cilastatin with percentage resistance ranges from 66.6% - 100%. The occurrence of ESBL producers shows that Escherichia coli (60.00%) and Proteus mirabilis (62.5%) were high while Shigella flexneri (20.0%) had a low occurrence of ESBL. The sale and in-discriminate use of antibiotics without a prescription is an important regulatory issue in the abuse of antibiotics for both humans and animals. The Beta-Lactam and gentamycin antibiotics were not effective against the Multi-Drug Resistant (MDR) isolates and most of the isolates were ESBL producers.

Water deficit is a fundamental factor in public health and economic growth. Water supply and population growth are directly linked to water demand. The physio-chemistry and microbiology analysis of water is utmost significance in dietary requirements. Drinking water has the main concern especially it affects food security. This study includes a number of representative sites where 24 water samples (from wells, reservoirs and tap water) were analysed. These sites are located in the western villages of Baalbeck, the main city of the Bekaa Plain in Lebanon where the analysed water is used mainly for domestic needs and for irrigation. This study  investigates the physiochemical and microbiological properties. Among the selected sites, Hawsh Barada site shows a strong contamination by nitrate. At the Nabi Rashaded (tap), Beit Shema and Bednayel (borehole and tap), contamination above the norm by zinc ion was noted. From a microbiological point of view, Hawsh barada, Nabi-Rashadeh, Hawsh-bay, and Beit shema are markedly polluted and do not meet the standard for drinking water. Hence, water quality in Hawsh barada, Nabi-Rashadeh, Hawsh-bay, Beit shema and Bednayel are not suitable for drinking, and this must be informed to decision makers who can act implementing environmental controls for health protection in the studied region.

Venous Thromboembolism (VTE) is a major public health concern, affecting approximately 900,000 people annually in the United States. In rare cases, a Patent Foramen Ovale (PFO) may allow a venous thrombus to cross into the arterial circulation, causing a paradoxical embolism. This case report presents a 46-year-old male who developed left renal artery stenosis after a paradoxical embolism, likely triggered by a prolonged flight and binge alcohol consumption. The patient was found to have a moderate-sized PFO and renal infarction, confirmed by imaging studies. Despite initial anticoagulation therapy and a planned stenting procedure, intraoperative findings revealed only mild stenosis, leading to cancellation of the stent placement. The patient ultimately underwent PFO closure with an Amplatzer Talisman device. This case underscores the diagnostic challenges in managing paradoxical embolism and the need for individualized treatment, particularly concerning anticoagulation duration, the decision for PFO closure, and post-procedural antithrombotic therapy. Further research is required to establish optimal management strategies for cryptogenic embolic events.

Coronary Artery Disease (CAD) is a leading cause of mortality worldwide, with coronary angioplasty being a crucial intervention for patients with significant disease. This study aimed to identify and analyze the causes of coronary angioplasty denial in patients with significant coronary artery disease in Afghanistan, focusing on demographic, socioeconomic, and clinical factors.A case-control study was conducted with a sample size of 213 patients diagnosed with significant CAD at tertiary care center in Afghanistan. The case group consisted of 106 patients who were denied angioplasty, and the control group included 107 patients who underwent the procedure. Data were collected on demographic characteristics, comorbidities, education, residence, functional status, income, and the reasons for angioplasty denial. Descriptive statistics and comparative analyses were performed to assess the factors associated with denial.The primary reasons for angioplasty denial were financial constraints (45.3%, p < 0.001), limited hospital facilities (15.1%, p = 0.045), patient refusal (23.6%, p < 0.001), and physician preference for conservative management (12.3%, p = 0.091). Denial rates were higher among patients who were older, had multiple comorbidities, were from rural areas, and had lower education and income levels. Illiteracy and cultural beliefs contributed significantly to patient refusal, while inadequate healthcare infrastructure disproportionately affected rural populations.Financial and infrastructural barriers are the leading causes of coronary angioplasty denial in Afghanistan, exacerbating disparities in healthcare access, particularly among low-income and rural patients. Addressing these issues through policy reforms, improved healthcare infrastructure, and targeted public health education is essential to reducing CAD-related morbidity and mortality in the country.

Sleep disorders represent a significant public health concern due to their widespread prevalence, impact on overall health, and the economic burden they impose. These disorders encompass a broad spectrum of conditions, ranging from insomnia and obstructive sleep apnea (OSA) to narcolepsy, restless legs syndrome (RLS), and parasomnias. They are often associated with comorbidities such as cardiovascular diseases, metabolic dysfunctions, and mental health disorders, making their identification and management critical.The publication of this work is of high interest as it contributes to the expanding body of literature focused on understanding the complex interplay between sleep disorders and health outcomes. By presenting detailed case reports, this study provides valuable insights into the diagnostic challenges, treatment modalities, and potential avenues for personalized interventions in sleep medicine. Case reports are particularly important in this field as they shed light on unique presentations and rare conditions that might otherwise go unnoticed in large-scale epidemiological studies. From an epidemiological perspective, sleep disorders are highly prevalent globally. According to the World Health Organization (WHO), approximately 30% - 45% of the global population experiences sleep disturbances. Obstructive sleep apnea, for instance, affects nearly 1 billion individuals worldwide, with varying prevalence across age, gender, and geographic regions. Insomnia affects roughly 10% - 30% of adults, with rates as high as 50% - 60% in older populations.Meanwhile, narcolepsy, though rare, is estimated to affect 1 in 2,000 people in the general population. These statistics underscore the pressing need for enhanced diagnostic methods, improved treatment strategies, and comprehensive patient management. By detailing real-world cases, this publication aims to bridge the gap between clinical observations and broader scientific understanding. The insights gained from these case studies have the potential to inform future research directions, improve clinical practices, and ultimately enhance patient outcomes in sleep medicine.Sleep disorders affect millions of individuals globally, disrupting physical, mental, and emotional well-being. Conditions such as insomnia, obstructive sleep apnea (OSA), narcolepsy, and restless legs syndrome (RLS) are among the most studied. This paper examines the etiology, diagnosis, and management of sleep disorders, presenting detailed case reports and integrating relevant sleep study findings. Figures such as polysomnography (PSG) outputs and statistical trends provide visual insights into diagnostic and therapeutic interventions. Sleep disorders encompass a wide range of conditions that significantly disrupt sleep quality and overall well-being. Common disorders such as insomnia, obstructive sleep apnea (OSA), narcolepsy, and restless legs syndrome (RLS) affect millions globally, posing risks to physical health, mental stability, and cognitive performance. This study explores the clinical presentation, diagnostic approaches, and management of sleep disorders through the lens of detailed case reports and sleep study data.Polysomnography (PSG), the gold standard for sleep disorder diagnosis, plays a pivotal role in identifying abnormal sleep patterns, respiratory irregularities, and neural disruptions. Multiple sleep latency tests (MSLT) and actigraphy complement PSG, offering insights into disorders like narcolepsy and circadian rhythm abnormalities. This paper presents three representative case reports: chronic insomnia, severe OSA, and narcolepsy with cataplexy. Each case is analyzed in-depth, highlighting patient history, PSG findings, treatment interventions, and outcomes. For chronic insomnia, cognitive-behavioral therapy for insomnia (CBT-I) and pharmacological intervention resulted in marked improvements in sleep latency and efficiency. In the OSA case, continuous positive airway pressure (CPAP) therapy significantly reduced the apnea-hypopnea index (AHI) and alleviated daytime symptoms. The narcolepsy case demonstrates the efficacy of modafinil and sodium oxybate in managing excessive daytime sleepiness and cataplexy.Despite advancements, challenges persist in the field, including patient adherence to therapy, accessibility to specialized sleep studies, and the ethical implications of AI-driven diagnostic tools. Future research should focus on scalable, patient-centric approaches and the role of emerging technologies in enhancing diagnostic accuracy and treatment efficacy. This paper aims to contribute to the evolving understanding of sleep disorders, bridging clinical case insights with the broader implications for sleep health and research.

This review aims to emphasize the scientific focus on platelet therapies by presenting the results already obtained in mares susceptible to Persistent Breeding-Induced Endometritis (PBIE), as well as highlighting opportunities for further improvement. The recent publication demonstrating the absence of bacterial growth in susceptible mares treated with PRP underscores the potential of regenerative therapies to control infections without promoting the emergence of multidrug-resistant bacteria. Alternative therapies have gained prominence in the current public health context, with the World Health Organization listing antimicrobial resistance among the ten most significant global threats. Endometritis is the leading cause of subfertility in mares, and empirical antibiotic therapies are commonly used in the field due to market pressures related to the high financial value of embryos, along with logistical challenges in obtaining laboratory-dependent diagnostic results. Platelet-Rich Plasma (PRP) is an alternative therapy derived from whole blood plasma with a high concentration of platelets. Its anti-inflammatory, regenerative, and antimicrobial properties are particularly tested when traditional therapies fail to achieve the desired effect. In recent years, research on the use of PRP in equine reproduction has primarily focused on endometritis, with a particular emphasis on persistent breeding-induced endometritis (PBIE). However, there is a growing interest in other platelet derivatives, such as lyophilized platelet-rich plasma and platelet lysate, which offer practical field applications.

The National Health Surveillance Agency (ANVISA) is a public institution created by Law 9782/1999, which integrates the field of Collective Health and acts in the prevention, control, and inspection of sanitary conditions in various sectors, such as food, health, pharmacies, hospitals, and commercial establishments. Its main objective is to guarantee the protection of public health, ensuring that products, services, and environments comply with established standards, to promote health and preventing diseases. To exercise its inspection and control function, Sanitary Surveillance has the power of sanitary police, which gives it the authority to apply necessary measures and curb practices that pose risks to the health of the population.The performance of the Sanitary Surveillance is fundamental to prevent health risks in any part of society and to guarantee national programs for patient safety. It is also essential to prevent diseases, control risks, and monitor compliance with health standards and specific regulations. The police power of Sanitary Surveillance consists of establishing norms and technical regulations, carrying out inspections and inspections, issuing temporary or permanent interdiction orders in establishments that do not comply with the norms, as well as forwarding complaints to the Public Ministry in cases of crimes against public health. Arrests carried out by Sanitary Surveillance agents are extreme measures and applied in serious situations of risk to public health or when there is repeated disrespect for sanitary regulations. The prohibited establishments have the right of defense and may seek to regularize the situation to obtain the release of activities.The performance of the Sanitary Surveillance has significant impacts on the prevention of disease outbreaks and epidemics. Identifying and correcting inappropriate practices helps to prevent the spread of pathogenic agents and reduce the risk of contagion in collective environments. The institution’s preventive and supervisory activities contribute to reducing risks to the population’s health, preventing disease outbreaks, food poisoning, and the proliferation of pests, among other problems. Finally, the importance of exercising police power with transparency, impartiality, and respect for individual rights is emphasized, always aiming at the collective interest and the promotion of the common good. In summary, Health Surveillance plays an essential role in protecting public health, seeking to ensure that the population has access to safe products and services, contributing to the improvement of quality of life and disease prevention.

This study investigates the impact of socio-political disruptions on air quality in Khartoum, Sudan, focusing on key pollutants: Aerosol Optical Depth (AOD), Carbon Monoxide (CO), Nitrogen Dioxide (NO₂), and Sulfur Dioxide (SO₂). Using Sentinel-5P satellite data (2020–2024) processed in Google Earth Engine (GEE), spatial and temporal variations in pollutant levels were analyzed before and after a significant war event in April 2023. The methodology included data acquisition, preprocessing (e.g., cloud masking, spatial filtering), monthly averages computation, visualization, and statistical analysis using Google Earth Engine (GEE), ArcGIS Pro, and Microsoft Excel. Results showed a marked post-war increase in AOD levels, attributed to infrastructure destruction, fires, and diminished industrial oversight, alongside spatially consistent pollution patterns in some regions. CO concentrations exhibited an overall decline due to reduced industrial activities and transportation, though localized anomalies were linked to concentrated emissions. Similarly, NO₂ levels dropped significantly, reflecting reduced vehicular and industrial activities, while sporadic increases suggested localized emissions like generator use. SO₂ demonstrated mixed trends, with reduced mean levels but increased variability, indicating sporadic high-emission events linked to emergency fuel use or conflict-related disruptions. This study uniquely combines high-resolution satellite data with advanced spatial and temporal analysis techniques to reveal the nuanced and multi-pollutant impact of socio-political conflicts on air quality in Khartoum, providing novel insights into the environmental repercussions of armed conflicts. These findings highlight the profound impact of socio-political events on atmospheric pollution dynamics, underscoring the need for robust urban planning, targeted environmental monitoring, and policies to mitigate air quality deterioration and address public health concerns in conflict-prone regions. The study emphasizes the importance of satellite-based monitoring to provide critical insights into the environmental repercussions of socio-political upheavals.

Chronic Kidney Disease (CKD) is a significant public health issue with a rising prevalence globally. Diabetic kidney disease (DKD), a leading cause of CKD, necessitates improved biomarkers for early detection and effective management. Traditional markers such as serum creatinine, estimated glomerular filtration rate (eGFR), and albuminuria have notable limitations in sensitivity and specificity, especially for early detection. Fetuin-A, specifically its post-translationally modified form (PTM-Fetuin-A), has emerged as a potential novel biomarker for DKD. This study evaluates PTM-Fetuin-A in a cohort of Bulgarian patients with type 1 and type 2 diabetes, assessing its correlation with traditional markers such as albuminuria and eGFR. Significant correlations were observed between PTM-Fetuin-A and these indicators (e.g., Pearson’s r = 0.447, p = 0.025 for albuminuria), highlighting its ability to detect early kidney function decline. Furthermore, PTM-Fetuin-A demonstrated potential as a non-invasive tool for identifying normoalbuminuric DKD, addressing gaps left by conventional biomarkers. By offering additional prognostic value, PTM-Fetuin-A could improve the early diagnosis and clinical management of diabetic patients, reducing the burden of CKD.

The concurrent emergence of dengue fever and the COVID-19 pandemic posed significant challenges to India’s healthcare system, particularly in Western Rajasthan, a region characterized by its arid climate and unique socio-demographic conditions. This study aimed to investigate the clinical and molecular characteristics of dengue during the COVID-19 pandemic, focusing on trends, diagnostic challenges, and serotype distribution. Conducted at Dr. S.N. Medical College, Jodhpur, in 2021, the study included 550 dengue-positive patients confirmed via rapid diagnostic tests and further analyzed using Dengue NS1 antigen and IgM antibody ELISA. Molecular characterization was performed using RT-PCR for serotyping.The results revealed a male predominance (72.36%) and a higher incidence in the 21–30-year age group (39.09%). Urban areas accounted for 67.73% of cases, with significant NS1 and IgM positivity (p = 0.042 and p = 0.004, respectively). Most cases (86.91%) were managed outpatient, though IgM positivity was significantly higher among hospitalized patients (19.19%, p < 0.001), indicating severe or prolonged infections. Platelet counts were above 100,000/mm³ in 86.91% of cases, with only 0.37% showing critically low counts (< 20,000/mm³). Seasonal analysis showed a peak in October (n = 325), correlating with post-monsoon vector breeding. Serotyping identified DENV2 as the dominant strain (97.42%), associated with severe dengue manifestations, including Dengue Haemorrhagic Fever (DHF).The study highlights the dual burden of dengue and COVID-19, emphasizing the need for enhanced vector control, improved diagnostic strategies and public health interventions during overlapping outbreaks. The predominance of DENV2 underscores the importance of serotype-specific surveillance and preparedness to mitigate future dengue epidemics in the region.

Background: Nutritional awareness among caregivers plays a crucial role in ensuring optimal pediatric health and development. This study assesses the level of nutritional awareness among caregivers and examines its association with demographic factors.Objectives: This study aimed to assess the knowledge and awareness of caregivers regarding dietary advice and complementary feeding for children under five years at Wad-Albasheir Family Health Center, Um-Bada locality.Methods: A cross-sectional study was conducted among caregivers in selected healthcare facilities. Data were collected using a structured questionnaire and analyzed using SPSS version 23. Descriptive statistics and chi-square tests were used to evaluate associations between variables.Results: The majority of caregivers demonstrated moderate awareness (60%), while 22.5% had low awareness and 17.5% had high awareness. A significant association was observed between education level and awareness (p < 0.05). Employment status also influenced awareness levels, with employed caregivers showing higher knowledge scores.Conclusion: Nutritional awareness is a key determinant of pediatric health. Strengthening educational programs targeting caregivers can improve child nutrition outcomes.

Introduction: The rise in cesarean section rates globally has led to a growing population of women with uterine scars, necessitating more targeted obstetric care in subsequent pregnancies. These women are faced with the decision of attempting vaginal delivery after cesarean section (VBAC) or opting for an elective repeat cesarean section. The likelihood of a VBAC depends on various factors both maternal and fetal, gathered in two known scores Grobman and Zhang, utilizing them could make VBAC successful and more widely attempted.  This study aims to validate the prognostic of these scores in a Moroccan population.Objectives:•    Validate the international predictive scores (Grobman and Zhang) for the probability of a successful VBAC in the Moroccan population.•    Explore additional criteria specific to the Moroccan population and develop a simplified VBAC score.  Results:•    Out of 2,973 women with a cesarean history, 313 attempted  TOLAC, 79% of these attempts were successful VBAC.•    The characteristics of successful VBAC included lower BMI, previous vaginal birth, lower estimated fetal weight, younger maternal age, and more favorable cervical conditions at admission.•    The Grobman and Zhang scores showed good predictive accuracy, with both models achieving 82.2% accuracy.•    When dividing women into groups based on predicted success (using both Grobman and Zhang scores), significant differences were found in success rates across different probability categories.Conclusion: Both Grobman and Zhang’s models were effective in predicting VBAC success in the Moroccan population, with a slight preference for the Zhang model. However, further research is needed to validate these models in clinical practice. It could involve developing a more population-specific model.