Improving the quality of clinical training in maternal and neonatal health in undergraduate nursing students: a participatory action research.

BACKGROUND: Improving the quality of clinical training is synonymous with accomplishing nursing education goals and improving the quality of nursing care. This study aimed to improve the quality of clinical training in Maternal and Neonatal Health (MNH) in nursing students. METHODS: This action research was conducted in two cycles from June 2017 to June 2018. The study setting was the School of Nursing and Midwifery of Lorestan University of Medical Sciences in southwest Iran. The participants were nursing students, faculty members, clinical trainers, educational managers, and teaching personnel. In the first cycle, semi-structured interviews were held with stakeholders to identify clinical problems and improvement strategies. Based on the results of these sessions, the changes needed to improve the quality of clinical training were planned and implemented. The weaknesses and strengths of the implemented changes were then identified through group discussions with the stakeholders. In the second cycle, a second plan was carried out to correct the weaknesses of the changes planned in the first cycle, and the modifications were implemented and evaluated. RESULTS: The main three categories extracted included an unsystematic curriculum and inadequate monitoring, inadequate resources and facilities, and the student's lack of motivation. The measures taken for improvement included holding communication workshops, developing and internalizing logbooks, reducing the number of students in clinical training groups, using modern clinical training methods, and changing clinical evaluation methods. CONCLUSION: Improving communication skills among the students, trainers, and hospital personnel and using modern clinical training methods, such as conceptual maps, triple jumps, and clinical skill centers, are the best strategies for improving clinical training in MNH nursing students.

PeptiHub: a curated repository of precisely annotated cancer-related peptides with advanced utilities for peptide exploration and discovery.

Peptihub (https://bioinformaticscollege.ir/peptihub/) is a meticulously curated repository of cancer-related peptides (CRPs) that have been documented in scientific literature. A diverse collection of CRPs is included in the PeptiHub, showcasing a spectrum of effects and activities. While some peptides demonstrated significant anticancer efficacy, others exhibited no discernible impact, and some even possessed alternative non-drug functionalities, including drug carrier or carcinogenic attributes. Presently, Peptihub houses 874 CRPs, subjected to evaluation across 10 distinct organism categories, 26 organs, and 438 cell lines. Each entry in the database is accompanied by easily accessible 3D conformations, obtained either experimentally or through predictive methodology. Users are provided with three search frameworks offering basic, advanced, and BLAST sequence search options. Furthermore, precise annotations of peptides enable users to explore CRPs based on their specific activities (anticancer, no effect, insignificant effect, carcinogen, and others) and their effectiveness (rate and IC50) under cancer conditions, specifically within individual organs. This unique property facilitates the construction of robust training and testing datasets. Additionally, PeptiHub offers 1141 features with the convenience of selecting the most pertinent features to address their specific research questions. Features include aaindex1 (in six main subcategories: alpha propensities, beta propensity, composition indices, hydrophobicity, physicochemical properties, and other properties), amino acid composition (Amino acid Composition and Dipeptide Composition), and Grouped Amino Acid Composition (Grouped amino acid composition, Grouped dipeptide composition, and Conjoint triad) categories. These utilities not only speed up machine learning-based peptide design but also facilitate peptide classification. Database URL: https://bioinformaticscollege.ir/peptihub/.

Application of microbial enzymes in medicine and industry: current status and future perspectives.

Microbes are a major source of enzymes due to their ability to be mass-cultivated and genetically modified. Compared with plant and animal enzymes, microbial enzymes are more stable and active. Enzymes are generally classified into six classes based on their reaction, substrate specificity and mechanism of action. In addition to their application in medicine for treating diseases, these compounds are used as anti-inflammatory, thrombolytic and digestive agents. However, challenges such as immunogenicity, tissue specificity and short in vivo half-life make clinical trials complex. Enzymes are metabolic catalysts in industry and their production and extraction must be optimized to preserve profitability due to rising demand. The present review highlights the increasing importance of bacterial enzymes in industry and medicine and explores methods for their production, extraction and purification.

Enzymes are important substances made by the cells of plants and animals. They are catalysts, or substances that control how quickly chemical reactions occur. These reactions are the processes that keep all plants and animals functioning. They are present in almost every natural organism, from microorganisms to plants and mammals. But plants and animals produce small amounts of enzymes unsuitable for industrial applications. The use of microbial enzymes in industry offers many advantages over plant and animal enzymes. People use enzymes in industry and medicine. Enzymes help to heal cuts and to diagnose certain diseases. They are also an important part of the process called fermentation. In industries, they are applied in the textile, starch, bakery, and detergent industries. This helps turn milk into cheese and juice into wine, and it makes bread rise before it is baked.

Non-destructive test-based assessment of uniaxial compressive strength and elasticity modulus of intact carbonate rocks using stacking ensemble models.

The uniaxial compressive strength (UCS) and elasticity modulus (E) of intact rock are two fundamental requirements in engineering applications. These parameters can be measured either directly from the uniaxial compressive strength test or indirectly by using soft computing predictive models. In the present research, the UCS and E of intact carbonate rocks have been predicted by introducing two stacking ensemble learning models from non-destructive simple laboratory test results. For this purpose, dry unit weight, porosity, P-wave velocity, Brinell surface harnesses, UCS, and static E were measured for 70 carbonate rock samples. Then, two stacking ensemble learning models were developed for estimating the UCS and E of the rocks. The applied stacking ensemble learning method integrates the advantages of two base models in the first level, where base models are multi-layer perceptron (MLP) and random forest (RF) for predicting UCS, and support vector regressor (SVR) and extreme gradient boosting (XGBoost) for predicting E. Grid search integrating k-fold cross validation is applied to tune the parameters of both base models and meta-learner. The results demonstrate the generalization ability of the stacking ensemble method in the comparison of base models in the terms of common performance measures. The values of coefficient of determination (R2) obtained from the stacking ensemble are 0.909 and 0.831 for predicting UCS and E, respectively. Similarly, the stacking ensemble yielded Root Mean Squared Error (RMSE) values of 1.967 and 0.621 for the prediction of UCS and E, respectively. Accordingly, the proposed models have superiority in the comparison of SVR and MLP as single models and RF and XGBoost as two representative ensemble models. Furthermore, sensitivity analysis is carried out to investigate the impact of input parameters.

Effects of non-tuberculous mycobacteria on BCG vaccine efficacy: A narrative review.

The Mycobacterium tuberculosis bacterial pathogen is responsible for the ongoing global tuberculosis (TB) epidemic. Bacille Calmette-Guérin (BCG), the only currently approved TB vaccine, is successful in preventing disseminated disease in newborns. However, it has a variable efficacy against pulmonary TB in adults. This protective effect of the vaccine varies greatly among different populations and geographical areas, which the increased exposure of particular populations to non-tuberculous mycobacteria (NTM) is considered as one of the reasons for this issue. Numerous studies have shown that exposure to NTM species causes the host immune system to be improperly primed. It has also been suggested that NTM species may be blamed for reduction in BCG vaccine effectiveness against M. tuberculosis. The increased exposure of certain populations to NTM has diverse effects on BCG efficacy. Moreover, the exposure to NTM can induce opposite effects on BCG efficacy depending on the NTM exposure route and survivability. A detailed understanding of the impact of NTM exposure on the efficacy of the BCG vaccine is essential for ongoing efforts to develop new TB vaccines as it may ultimately be a crucial success factor. The aim of this study was to review the findings of the studies focusing on the effects of NTM on BCG vaccine efficacy in animal models.

Effects of Satureja Khuzestanica supplementation on glycemic indices and lipid profile in type 2 diabetes patients: a randomized controlled clinical-trial.

BACKGROUND: Several studies showed the hypoglycemic and hypolipidemic effects of Satureja Khuzestanica (SK) in animal models. This study aimed to determine the effect of SK supplementation on glycemic and lipid outcomes of patients with type 2 diabetes mellitus (T2DM). METHODS: The study was designed as a double-blind, placebo-controlled, randomized clinical trial using block randomization. Seventy-eight T2DM patients were randomly assigned to intervention (n = 39) or placebo (n = 39) groups. They received SK or placebo in 500 mg capsules daily for 12 weeks. Anthropometric, blood pressure, liver enzymes, glycemic, and lipid outcomes were measured before and after the intervention. RESULTS: At baseline, there were no significant differences in age, sex, or glycated hemoglobin (HbA1c) levels between the groups. SK supplementation led to a significant decrease in FBS (-12.6 ± 20.7 mg/dl in the intervention group versus 3.5 ± 31.9 mg/dl; p = 0.007), HbA1c (-0.28 ± 0.45 in the intervention group versus 0.11 ± 0.54% in the placebo group; p = < 0.001), insulin (-1.65 ± 6.18 in the intervention group versus 2.09 ± 5.90 mIU/L in the placebo group; p = 0.03), total cholesterol (-14.6 ± 21.1 mg/dl in the intervention group versus 8.2 ± 30.9 mg/dl in the placebo group; p < 0.001), LDL-cholesterol (-4.6 ± 15.2 mg/dl in the intervention group versus 5.8 ± 14.6 mg/dl in placebo group; p < 0.001) levels, and significant increase in HDL-cholesterol (3.9 ± 4.9 mg/dl in the intervention group versus 0.9 ± 5.2 mg/dl in placebo group; p = 0.005). CONCLUSION: Based on the study results, SK supplementation may improve glycemic indices and lipid profile of patients with T2DM. Our findings may provide novel complementary treatments without adverse effects for diabetes complications. These results need to be further confirmed in clinical trials. REGISTRATION: This trial has been registered in the Iranian Registry of Clinical Trials (IRCT ID: IRCT20190715044214N1, registration date: 21/02/2021).

The effect of topical 0.5% humic acid gel on male rats with skin ulcer.

Background: Humic derivatives have antibacterial and anti-inflammatory properties. Aim: This study aimed to assess the experimental wound-healing effect of 0.5% humic acid gel. Materials and Methods: A full-thickness skin wound was created on the dorsal side of 24 Sprague Dawley male rats (220-250 g). The animals were then randomly divided into the control, sham, and experimental groups. Skin wounds were bandaged daily using sterile gauze dipped in normal saline, carboxymethylcellulose, and 0.5% humic acid for 21 days. The wound-healing rate was evaluated grossly and histologically at various time intervals post-injury. Results: Wound-healing percentage was significantly higher in the gel treatment group at all time points (P < 0.05). The mean number of inflammatory cells was significantly lower in the humic acid gel group than in the other groups (P < 0.001). Moreover, the number of new vascular cells and fibroblasts were significantly increased in the humic acid gel compared to the control (P < 0.001). Conclusion: These data confirmed that 0.5% humic acid gel accelerates wound healing, probably by anti-inflammatory effects, as well as by promoting vascular and fibroblast proliferation. Therefore, the humic acid gel may be used to improve wound care.

Falling and rising in the vortex of cancer: children's adaptation with cancer: a qualitative study.

BACKGROUND: Cancer is a considerable health problem worldwide and the second leading cause of death in children. It has many physical, psychological, and social consequences for children and their families. The ability to adapt to cancer plays a vital role in the recovery and quality of life of affected children. This study aimed to explain the adaptation of children with cancer to their disease. METHODS: This qualitative study adopted the directed content analysis approach based on the Roy nursing model. The participants were nine children with cancer aged 6-18 years old, five family members, four nurses, one doctor, one teacher, and two charity association members, recruited by purposive sampling method. The information was collected via individual semi-structured interviews, a focus group discussion, and field notes. The data were analyzed simultaneously with data collection using the Elo and Kyngäs method. The study rigor was ensured based on the Guba and Lincoln criteria. FINDINGS: Of the four categories of physical challenges, fragile self-concept, the difficulty of role transition, and disruption of the path to independence, the theme of Falling and rising in the cancer vortex was abstracted. CONCLUSION: Based on the Roy model, the children in the present study were at the compensatory level of adaptation. This research demonstrates that the adaptation of children being treated for cancer is fragile and not constant. With each hospitalization and exacerbation of the disease, they made efforts to adapt to their disease using regulatory and cognitive subsystems. Paying attention to different stimulants and the effects of support systems on physical challenges, fragile self-concept, difficult role transition, and disruption of the path to independence for each child, as well as providing individualized care for these children, can help their adaptation to and healthy transition from the vortex of cancer. The Roy adaptation model was helpful and efficient for elucidating the adaptation of children with cancer. Providing care for children by healthcare specialists, especially nurses, should be theory-based and individualized.

Understanding the performance of RHO type zeolite membrane for CH4/N2 separation based on molecular dynamics and deep neural network methods.

This study shows a molecular dynamics (MD) simulation study on the performance of the RHO zeolite membrane for separating nitrogen from methane/nitrogen gas mixtures. The contamination of natural gas, predominantly composed of methane, with nitrogen diminishes its value. Zeolite membranes offer promising prospects for gas separation due to their stability, rigid pore structure, and molecular sieving properties. The study investigates the impact of pressure difference (up to 30 MPa), feed composition, and membrane thickness on the separation rate at a system temperature of 298 K. Results demonstrate that the RHO zeolite membrane exhibits high permeability and selectivity for N2 separation, surpassing the upper limit defined by Robson with a maximum permeability of 2.14 × 105 GPU (Gas Permeation Units). Exceptional selectivity of N2 over CH4 molecules is observed. Additionally, altering the feed composition and membrane thickness positively influences the membrane's separation performance, thereby enhancing its efficiency. The findings contribute to the advancement of separation technologies, providing valuable insights into the potential application of zeolite membranes for efficient N2 separation from CH4/N2 gas mixtures in natural gas processing. Furthermore, the study explores the use of Deep Neural Network (DNN) models to predict the membrane's performance under diverse operating conditions. The DNN models, trained using simulation data from MD simulations, exhibit high accuracy with a coefficient of determination (R2) exceeding 0.9, ensuring reliable predictions. The integration of DNN models facilitates the optimization of zeolite membrane-based gas separation systems, improving their design and operation.

Environmental surveillance of fungi and susceptibility to antifungal agents in tertiary care hospitals.

IMPORTANCE: Saprophytic fungi can cause nosocomial infections in high-risk patients. These infections are related to high mortality and cost. In the current study, different species of filamentous fungi and yeast were isolated from the environment of the studied hospitals. Some species were resistant to antifungal drugs. We suggest that the future work concentrates on the relationship between the level/quantification of saprophytic contamination in the environment of hospitals and fungal infections in patients.

Simulated eye height impacts size perception differently depending on real-world posture.

Changes in perceived eye height influence visually perceived object size in both the real world and in virtual reality. In virtual reality, conflicts can arise between the eye height in the real world and the eye height simulated in a VR application. We hypothesized that participants would be influenced more by variation in simulated eye height when they had a clear expectation about their eye height in the real world such as when sitting or standing, and less so when they did not have a clear estimate of the distance between their eyes and the real-life ground plane, e.g., when lying supine. Using virtual reality, 40 participants compared the height of a red square simulated at three different distances (6, 12, and 18 m) against the length of a physical stick (38.1 cm) held in their hands. They completed this task in all combinations of four real-life postures (supine, sitting, standing, standing on a table) and three simulated eye heights that corresponded to each participant's real-world eye height (123cm sitting; 161cm standing; 201cm on table; on average). Confirming previous results, the square's perceived size varied inversely with simulated eye height. Variations in simulated eye height affected participants' perception of size significantly more when sitting than in the other postures (supine, standing, standing on a table). This shows that real-life posture can influence the perception of size in VR. However, since simulated eye height did not affect size estimates less in the lying supine than in the standing position, our hypothesis that humans would be more influenced by variations in eye height when they had a reliable estimate of the distance between their eyes and the ground plane in the real world was not fully confirmed.

Evaluation of quality of life and associated factors in patients with intertrochanteric femoral fracture.

BACKGROUND: Intertrochanteric fracture is a common injury among the elderly, causing fundamental lifestyle derangements, influencing the patients' social and psychological functioning. We aimed to study the quality of life (QoL) and its different parameters in patients with this type of injury. MATERIALS AND METHODS: In this cross-sectional study, all patients hospitalized with intertrochanteric fracture aged above 50 from 2020 to 2022 at the Shahid Beheshti Hospital in Babol, Iran, were included. Patients were primarily managed surgically and, in exceptional cases non-surgically, were followed up for at least 12 months after receiving treatment. During the follow-up period, patients were dialled and completed a questionnaire to assess the patient's QoL by the 36-item Short Form Health Survey (SF-36). QoL parameters were analyzed based on patients' sex, age, type of treatment, and height of fall causing fracture. RESULT: A total number of 200 patients, including 101 (50.5%) males and 99 (49.5%) females, with a mean age of 74.76±11.36 years (range: 50-99), were included. Regarding the received treatment, 192 (96.0%) patients underwent surgery, and 8 (4.0%) underwent non-surgical treatment. In the study of SF-36 scores, the mean score of male patients was 42.31±14.58, and females scored 37.83±15.35, and the difference was statistically significant (P = 0.04). The mean score of QoL and its subscales among the 50-75 group patients was significantly higher than the 76-99 group (P<0.001). The average score of QoL was considerably higher in patients who had surgery (40.75±14.57) compared to those who had non-surgical treatment (24.30±19.85) (P = 0.01). Patients having a fall from a higher height had higher QoL after treatment. CONCLUSION: This study revealed that patients with an intertrochanteric femoral fracture had poor QoL in all aspects. The overall QoL was significantly higher among male patients, younger patients, those who underwent surgical treatment, and the falls from higher heights. These findings highlight the necessity of long-term follow-up and support in patients with intertrochanteric fractures.

Different Modification Methods of Poly Methyl Methacrylate (PMMA) Bone Cement for Orthopedic Surgery Applications.

In clinical practice, bone defects that occur alongside tumors, infections, or other bone diseases present significant challenges in the orthopedic field. Although autologous and allogeneic grafts are introduced as common traditional remedies in this field, their applications have a series of limitations. Various approaches have been attempted to treat large and irregularly shaped bone defects; however, their success has been less than optimal due to a range of issues related to material and design. However, in recent years, additive manufacturing has emerged as a promising solution to the challenge of creating implants that can be perfectly tailored to fit individual defects during surgical procedures. By fabrication of constructs with specific designs using this technique, surgeons are able to achieve much better outcomes for patients. Polymers, ceramics, and metals have been used as biomaterials in Orthopedic Surgery fields. Polymeric scaffolds have been used successfully in total joint replacements, soft tissue reconstruction, joint fusion, and as fracture fixation devices. The use of polymeric biomaterials, either in the form of pre-made solid scaffolds or injectable pastes that can harden in situ, shows great promise as a substitute for commonly used autografts and allografts. Polymethyl methacrylate (PMMA) is one of the most widely used polymer cement in orthopedic surgery. The present paper begins with an introduction and will then provide an overview of the properties, advantages/disadvantages, applications, and modifications of PMMA bone cement.

Nitrofurantoin: properties and potential in treatment of urinary tract infection: a narrative review.

Nitrofurantoin (NF), a wide-spectrum antibiotic accessible since 1953, is utilized widely to treat urinary tract infections as it usually stays active against drug-resistant uropathogen. The use of Nitrofurantoin has increased exponentially since new guidelines have repositioned it as first-line therapy for uncomplicated lower urinary tract infection (UTI). To, although fluoroquinolones are usually used to re-evaluate the first- and second-line therapies for treating uncomplicated UTI, their level of utilization is thought to be inappropriately excessive and will eventually have a detrimental impact; thus, we hypothesize that NF might be the best choice for this condition, because of its low frequency of utilization and its high susceptibility in common UTI pathogens. It can be concluded from this review that NF can be considered as the most effective drug in the treatment of acute urinary infection, but due to the long-term side effects of this drug, especially in elderly patients, it is essential to introduce some criteria for prescribing NF in cases of chronic UTI.

Environment assisted quantum model for studying RNA-DNA-error correlation created due to the base tautomery.

The adaptive mutation phenomenon has been drawing the attention of biologists for several decades in evolutionist community. In this study, we propose a quantum mechanical model of adaptive mutation based on the implications of the theory of open quantum systems. We survey a new framework that explain how random point mutations can be stabilized and directed to be adapted with the stresses introduced by the environments according to the microscopic rules dictated by constraints of quantum mechanics. We consider a pair of entangled qubits consist of DNA and mRNA pair, each coupled to a distinct reservoir for analyzing the spreed of entanglement using time-dependent perturbation theory. The reservoirs are physical demonstrations of the cytoplasm and nucleoplasm and surrounding environments of mRNA and DNA, respectively. Our predictions confirm the role of the environmental-assisted quantum progression of adaptive mutations. Computing the concurrence as a measure that determines to what extent the bipartite DNA-mRNA can be correlated through entanglement, is given. Preventing the entanglement loss is crucial for controlling unfavorable point mutations under environmental influences. We explore which physical parameters may affect the preservation of entanglement between DNA and mRNA pair systems, despite the destructive role of interaction with the environments.

Green and rapid and instrumental one-pot method for the synthesis of imidazolines having potential anti-SARS-CoV-2 main protease activity.

The Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) is responsible for ongoing epidemics in humans and some other mammals and has been declared a public health emergency of international concern. In this project, several small non-peptide molecules were synthesized to inhibit the major proteinase (Mpro) of SARS-CoV-2 using rational strategies of drug design and medicinal chemistry. Mpro is a key enzyme of coronaviruses and plays an essential role in mediating viral replication and transcription in human lung epithelial and stem cells, making it an attractive drug target for SARS-CoV. The antiviral potential of imidazoline derivatives as inhibitors of (SARS-CoV-2) Mpro was evaluated using in-silico techniques such as molecular docking simulation, molecular dynamics (MD), and ADMET prediction. The docking scores of these imidazoline derivatives were compared to that of the N3 crystal inhibitor and showed that most of these compounds, particularly compound E07, interacted satisfactorily in the active site of the coronavirus and strongly interacted with the residues (Met 165, Gln 166, Met 165, His 41, and Gln 189). Furthermore, the results were confirmed by MD simulations after exposure to long-term MD simulations and ADMET predictions.

A comparative study of the effects of Kangaroo care by mothers and maternal grandmothers on the vital signs of hospitalized preterm newborns: a randomized controlled clinical trial study.

BACKGROUND: Kangaroo care (KC) is an effective technique to prevent injury in newborns due to prematurity and hospitalization. Mothers of preterm newborns experience their own set of physical and mental problems. Such circumstances call for another family member to take care of the newborn. This study compared the effect of KC by mothers and maternal grandmothers on the vital signs of preterm newborns. METHODS: This parallel randomized controlled trial was done at the neonatal and NICU departments of the hospital in Kuhdasht in Iran. Eighty preterm neonates were selected through convenience sampling according to the eligibility criteria, then by stratified block randomization allocated to two groups. The control group received KC from the mother, and the intervention group received KC from the maternal grandmothers on the vital signs of preterm newborns. Vital signs were assessed 15 min before, during, and after the KC as the primary outcome. The data collection tools included a demographic questionnaire and a form to record the vital signs. Vital signs were measured by a pulse oximeter, an electronic thermometer, and observation. Data were analyzed by the chi-square test, the independent t-test, and the repeated measures ANOVA. RESULTS: The vital signs of newborns in each group showed a significant difference before, during, and after receiving KC (P < 0.05). Nevertheless, the vital signs of the newborns did not differ significantly between the mother and the maternal grandmother KC groups (P > 0.05). CONCLUSION: KC by maternal grandmother may stabilize the vital signs of preterm newborns as much as when this type of care is provided by the mother. We, therefore, recommend the provision of KC by the maternal grandmother, as a support and substitute for the mother whenever she is incapable of being at the hospital and to enable the mother to rest. TRIAL REGISTRATION: Iranian Registry of Clinical Trials IRCT20211225053516N1, March 31, 2022.

Comparison of in vitro activities of newer triazoles and classic antifungal agents against dermatophyte species isolated from Iranian University Hospitals: a multi-central study.

BACKGROUND: Dermatophytes have the ability to invade the keratin layer of humans and cause infections. The aims of this study were the accurate identification of dermatophytes by Polymerase Chain Reaction-Restriction Fragment Length Polymorphism method and sequencing and comparison between the in vitro activities of newer and established antifungal agents against them. METHODS: Clinical specimens of patients from five Iranian university laboratories were entered in this study. Samples were cultured on sabouraud dextrose agar medium. For molecular identification, extracted DNAs were amplified by the universal fungal primers ITS1 and ITS4, and digested with MvaI enzymes. The antifungal susceptibility test for each isolate to terbinafine, griseofulvin, caspofungin, fluconazole, itraconazole, luliconazole, and isavuconazole was performed, according to the microdilution CLSI M38-A2 and CLSI M61 standard methods. RESULTS: Two hundred and seven fungi species similar to dermatophytes were isolated of which 198 (95.6%) were dermatophytes by molecular assay. The most commonly isolated were Trichophyton mentagrophytes (76/198), followed by Trichophyton interdigitale (57/198), Trichophyton rubrum (34/198), Trichophyton tonsurans (12/198), Microsporum canis (10/198), Trichophyton simii (3/198), Epidermophyton floccosum (3/198), Trichophyton violaceum (2/198), and Trichophyton benhamiae (1/198). The GM MIC and MIC90 values for all the isolates were as follows: terbinafine (0.091 and 1 µg/ml), griseofulvin (1.01 and 4 µg/ml), caspofungin (0.06 and 4 µg/ml), fluconazole (16.52 and 32 µg/ml), itraconazole (0.861 and 8 µg/ml), isavuconazole (0.074 and 2 µg/ml), and luliconazole (0.018 and 0.25 µg/ml). CONCLUSION: Trichophyton mentagrophytes, Trichophyton interdigitale, and Trichophyton rubrum were the most common fungal species isolated from the patients. luliconazole, terbinafine, and isavuconazole in vitro were revealed to be the most effective antifungal agents against all dermatophyte isolates.