Point of care guided coagulation management in adult patients on ECMO: A systematic review and meta-analysis.

BACKGROUND: Despite the advancements in extracorporeal membrane oxygenation (ECMO) technology, balancing the prevention of thrombosis and the risk of bleeding in patients on ECMO is still a significant challenge for physicians. This systematic review and meta-analysis aimed to assess the efficacy and safety of viscoelastic point-of-care (POC)-guided coagulation management in adult patients on ECMO. METHODS: PubMed Medline, Embase, Scopus, Web of Science, and Cochrane Library databases were searched. After quality assessment, meta-analysis was carried out using random effects model, heterogeneity using I2 and publication bias using Doi and Funnel plots. RESULTS: A total of 1718 records were retrieved from the searches. Fifteen studies that enrolled a total of 583 participants met the inclusion criteria. Of those, 3 studies enrolling 181 subjects were eligible for meta-analysis. In patients managed with POC-guided algorithms, the odds were coherently lower for bleeding (OR 0.71, 95%CI 0.36-1.42), thrombosis (OR 0.91, 95%CI 0.32-2.60), and in-hospital mortality (OR 0.54, 95%CI 0.29-1.03), but not for circuit change or failure (OR 1.50, 95%CI 0.59-3.83). However, the differences were not statistically significant due to wide 95%CIs. CONCLUSION: Viscoelastic POC monitoring demonstrates potential benefits for coagulation management in ECMO patients. Future research should focus on standardizing evidence to improve clinical decision-making. REGISTRATION: The protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO) with registration ID CRD42023486294.

COVID-19 and Its Impact on Back Pain in the Eastern Province of Saudi Arabia.

Background Low back pain (LBP) is a common musculoskeletal condition that affects individuals worldwide, causing difficulties in daily tasks and social interactions. It can be categorized based on chronicity, with acute, subacute, and chronic forms. The causes of backache vary among patients and can include inflammatory conditions, radiculopathy, pregnancy, trauma, osteoporosis, nerve root compression, cancer, plexopathy, infection, and other spinal diseases. Aim The aim is to investigate the association between COVID-19 infection and LBP between all Saudi adults and foreign adults who had positive COVID-19 tests in the eastern region of Saudi Arabia. Methods A cross-sectional study was conducted in the Eastern Province of Saudi Arabia over the period from March 2023 to August 2023. Participants were selected by using a convenience sampling method, a sample (n=500) of individuals. The structured questionnaire was used to gather information on sociodemographic variables and COVID-related features. All the statistical calculations were performed using the SPSS software (by IBM) version 29.0.0. Results 482 participants completed the questionnaire. Out of 482 participants, the majority were females with a number of 372 (77.2%) aged between 20 and 29 years (38.4%). Out of the remaining participants, 110 (22.8%) were males. Most of the participants with a number of 301 (62.4%) were from the Hasa province. This was followed by Qatif (79, 16.4%), Dammam (56, 11.6%), Jubail (25, 5.2%), and others (21, 4.4%). The study revealed that 10.1% of participants reported experiencing back pain. The duration of backaches varied among respondents, with 122 (25.3%) experiencing them from a day to a week, 28 (5.8%) enduring them for six weeks, and 65 (13.5%) reporting a duration of six to 12 weeks. The majority, comprising 267 (55.4%) respondents, were uncertain about the period of their backaches. The prevalence of COVID-19 infection among the participants was 357 (74.1%), and 477 (99.0%) had been vaccinated against COVID-19. Approximately 44.4% of the participants experienced back pain, and out of those, 28.2% reported having pain during quarantine. Among the individuals with back pain, 24.7% attributed it to COVID-19. Conclusion This study highlights the significant correlation between back pain and COVID-19, even after the resolution of other symptoms. It underscores the importance of further research into the long-term effects and mechanisms of this association. The findings emphasize the need for healthcare professionals to consider back pain as a potential aspect of the post-COVID-19 symptom profile, ensuring comprehensive care for affected individuals.

Comparison of postoperative pain in children after maintenance anaesthesia with propofol or sevoflurane: a systematic review and meta-analysis.

BACKGROUND: Propofol and sevoflurane are two of the most commonly used anaesthetics for paediatric surgery. Data from some clinical trials suggest that postoperative pain incidence is lower when propofol is used for maintenance of anaesthesia compared with sevoflurane, although this is not clear. METHODS: This meta-analysis compared postoperative pain following maintenance of anaesthesia with propofol or sevoflurane in paediatric surgeries. PubMed Medline, Embase, Scopus, Web of Science and Cochrane Library were searched for randomised controlled trials (RCTs) that compared postoperative pain between sevoflurane and propofol anaesthesia in children. After quality assessment, a meta-analysis was carried out using bias-adjusted inverse heterogeneity methods, heterogeneity using I2 and publication bias using Doi plots. RESULTS: In total, 13 RCTs with 1174 children were included. The overall synthesis suggested nearly two-fold higher odds of overall postoperative pain in the sevoflurane group compared with the propofol group (odds ratio [OR] 1.88, 95% confidence interval [CI] 1.12-3.15, I2=58.2%). Further, children in the sevoflurane group had higher odds of having higher pain scores (OR 3.18, 95% CI 1.83-5.53, I2=20.9%), and a 60% increase in the odds of requiring postoperative rescue analgesia compared with propofol (OR 1.60, 95% CI 0.89-2.88, I2=58.2%). CONCLUSIONS: Children maintained on inhalational sevoflurane had higher odds of postoperative pain compared with those maintained on propofol. The results also suggest that sevoflurane is associated with higher odds of needing postoperative rescue analgesia compared with propofol. REGISTRATION: The protocol for this systematic review and meta-analysis was registered on the International Prospective Register of Systematic Reviews (PROSPERO) with registration ID CRD42023445913.

Observation of magnet-induced star-like radiation of a plasma created from cancer cells in a laser trap.

We present a new phenomenon resulting from the interaction of magnetic beads with cancer cells in a laser trap formed on a slide containing a depression 16.5 mm in diameter and 0.78 mm of maximum depth. This phenomenon includes the apparent formation and expansion of a dark bubble that attracts and incinerates surrounding matter when it explodes, which leads to a plasma emitting intense radiation that has the appearance of a star on a microscopic scale. We have observed the star-like phenomenon for more than 4 years, and the intensity depends on the laser's power. Measuring the laser power of the dark bubble shows the entrapment of electromagnetic energy as it expands.

A Case of a Newborn With Nemaline Myopathy From Al-Qunfudhah City, Saudi Arabia.

Nemaline myopathy is a primary skeletal muscle disorder and one of the congenital myopathies. It can be caused by mutations in at least 12 genes, with the nebulin (NEB) gene being the most common. Here, we present the first case of a neonate with nemaline myopathy from Al-Qunfudhah, Saudi Arabia. A full-term baby boy was delivered via cesarean section due to decreased fetal movement. The baby was covered with a thick meconium stain. He was born with severe distress and underwent an endotracheal tube placement. The baby presented generalized muscle weakness, hypotonia, and areflexia. Examination revealed arthrogryposis, bilateral small chin, undescended testicle, joint deformity, hip dislocation, and clubfoot. Chest examination revealed conducting sound and bilateral equal air entry. Moreover, he experienced bilateral chest wheeze and conducting sound. All laboratory tests were normal, and whole-exome sequencing revealed pathogenic homozygous splice acceptor variant NEB gene c.8889+1G˃A. The patient was first suspected to have spinal muscular atrophy as there was no previous nemaline myopathy case reported from Al-Qunfudhah. However, the typical symptoms and genetic sequencing confirmed his condition. As the society in Al-Qunfudhah is known for consanguinity, as in our case, clinicians should identify other types of myopathy as it is expected to occur in further cases.

Retraction: Amyand Hernia With Acute Appendicitis: A Rare Type of Hernia.

[This retracts the article DOI: 10.7759/cureus.18720.].

Speckle tracking echocardiography for diagnosis of right ventricular failure in children with totally corrected tetralogy of Fallot in Sulaimani, Iraq.

Objectives: The study was aimed at using speckle tracking echocardiography as a novel technique to diagnose right ventricular failure (RVF) in children with total correction of tetralogy of Fallot (TOF) through surgery. Methods: A quasi-experimental study was performed at the Children's Heart Hospital of Sulaimani for 9 months. A total of 150 children with completely repaired TOF were enrolled to investigate RVF. Conventional echocardiographic data were recorded, including right ventricular (RV) ejection fraction (EF), tricuspid annular plane systolic excursion (TAPSE), myocardial performance index (MPI), and RV end-systolic and diastolic volume (RVESV and RVEDV). Additionally, speckle tracking was performed for the regional and longitudinal strain and strain rate in four-chamber apical view. RVF diagnosis was determined on the basis of electrocardiography measurement of P-wave dispersion, T-wave dispersion, and QRS duration. Results: Children with repaired TOF who were diagnosed with RVF through conventional echocardiography exhibited abnormalities with respect to children with normal RV function, including a TAPSE of 1.3 ± 0.11 cm, RVEF of 35.5 ± 6.72, RVESV of 69.8 ± 15.13 ml, RVEDV of 110.1 ± 14.13 ml, MPI of 0.60 ± 0.12, and Pmax of 52.4 ± 14.08. The use of speckle tracking in RVF diagnosis revealed a relatively lower longitudinal strain and strain rate (-12.1 ± 2.3 and -0.9 ± 0.3, respectively) in the children with RVF. Moreover, longitudinal right ventricular strain was positively correlated with TAPSE (r = 0.656) and EF (r = 0.675), and negatively correlated with RVEDV (r = -0.684), RVESV (r = -0.718), MPI (r = -0.735), and Pmax (r = -0.767). Conclusions: The application of speckle tracking with the longitudinal RV strain and strain rate to estimate RV function in children with repaired TOF is a new advanced method that, compared with conventional echo, significantly improves the diagnosis of regional myocardial deformations and cardiac muscle motion velocity.

The Influence of Comorbidities, General Health Status, and Self-Care Self-Efficacy on COVID-19 Symptoms During the Omicron Wave.

Background The emergence of the less virulent COVID-19 strains such as Omicron and its subvariants shifted the paradigm of COVID-19 treatment from inpatient treatment to regular outpatient care. The individual health determinants affecting COVID-19 disease severity among vulnerable adults treated in outpatient settings are an under-researched area. Methods This study conducted in an outpatient COVID-19 antibody infusion center employed a cross-sectional survey design to explore the impact of comorbidities, general health status, and self-care self-efficacy on COVID-19 symptom severity. We recruited 120 COVID-19-positive participants over 40 years of age, of which 117 completed the study with 87 providing complete data. After the screening and consenting process, the participants completed the following surveys in a secure REDCap survey software (Vanderbilt University, Nashville, USA) on an iPad (Apple Inc., Cupertino, USA): 1) sociodemographic questionnaire, 2) Charlson Comorbidity Index (CCI) to capture comorbidities, 3) Medical Outcomes Study Short-Form (SF-12) to assess general health including physical (PCS) and mental (MCS) health subscales, 4) Self-Care Self-Efficacy Scale (SCSES) to measure self-care self-efficacy, and 5) the COVID-19 Symptom rating scale (COVID-19 SRS). Statistical analysis used were Chi-square and Pearson correlations.  Results As evidenced by CCI, the top five comorbidities were hypertension (42%), diabetes mellitus (31%), pulmonary disease (19%), depression (14%), and solid tumors (11%). Age was statistically significantly correlated to comorbidity burden (p<0.0001). Severe COVID-19 symptoms reported were fatigue, myalgia, cough, runny nose, and sore throat. The general health status measure (SF-12) subscales showed that the patient's mental component summary (MCS) was more statistically significant to COVID-19 symptom severity than the physical component summary (PCS). The MCS demonstrated a statistically significant correlation with fatigue and myalgia (p<0.0001), headache and breathing difficulties (p<0.001), nausea/vomiting (p<0.01), and abdominal pain/diarrhea (p<0.05). The PCS showed a lesser statistically significant correlation with fatigue, myalgia, headaches (p<0.01), fever/chills, cough, congestion/runny nose, night sweats, breathing difficulties, nausea/vomiting, and abdominal pain/diarrhea (p<0.05). Interestingly, the 'loss of smell' which is the hallmark symptom of COVID-19 was the only symptom that showed a statically significant correlation with the Charlson Comorbidity Index (p<0.05), and it did not show any association with either mental (SF-12 MCS) or physical (SF-12 PCS) health status. The SF-12 MCS also showed a statistically significant correlation with a diagnosis of depression (p< 0.01), validating it as a true measure of mental health among vulnerable adults. The SCSES was not correlated with any of the COVID-19 symptoms. Conclusions The patient's general health status, especially mental health was more statistically significant to COVID-19 symptoms. The COVID-19 hallmark symptom of 'loss of smell' was the only symptom that showed statistical significance with comorbidities. Within the limitations of a cross-sectional survey design and convenient sampling methods, this study calls to tailor general health status, especially mental health, and cumulative comorbidity burden to risk assessment/risk stratification of COVID-19 care.

Awareness of Hernias and Their Risk Factors Among Adults in the Western Region of Saudi Arabia.

Objective To assess the awareness of hernia and its risk factors among adults in the western region of Saudi Arabia. Our hypothesis was that the studied population was in need of education regarding this matter.  Methods This cross-sectional study was conducted in the western region of Saudi Arabia from November to December 2022, using a Google form. The generated questionnaire consisting of two parts was distributed electronically through social media platforms. The targeted population included adults from the western region of Saudi Arabia. The data were obtained using Microsoft Excel and analyzed using Statistical Package for Social Sciences (SPSS) v. 26 software (IBM Corp., Armonk, NY). Results A total of 1570 adults from the western region of Saudi Arabia were included in our study. We found that 13% of the participants had good overall knowledge about hernia, 31% had poor knowledge, and 56% had moderate knowledge. Alarmingly, 55% of the participants had a poor attitude, and 27% were evaluated as having poor practice. In addition, we found a significant association between people's level of knowledge and multiple factors, including age (p-value < 0.001), marital status (p-value< 0.001), and occupation (p-value< 0.001).  Conclusion Based on our research, more than half of our population had a moderate level of knowledge regarding hernias including their risk factors and complications, with alarming levels of poor attitudes toward the disease. Healthcare workers were our participants' leading source of medical information, which directs us towards fully equipping them with the knowledge to educate the public effectively.

Telemedicine Breastfeeding Consultation: The Saudi Experience.

Background Telemedicine is widely used in health specialties. Yet, the experience of telemedicine use and its effectiveness in breastfeeding support is a research gap. The purpose of this study was to describe the pattern of telemedicine use for breastfeeding support in Saudi Arabia and to explore patients' satisfaction with the service. Methods A cross-sectional survey was conducted in outpatient settings at Ministry of Health facilities in several Saudi regions. The number of breastfeeding consultations over one year (2021) was analyzed in terms of region, month, method of consultation, and women's maternity status. Data on patient satisfaction and telemedicine techniques were gathered during 2022. Results Across the 16 regions enrolled in the project, 51,571 remote breastfeeding consultations were conducted, representing 28.2% of the total consultations. The eastern region reported the highest percentage (40.7%), and the southern region reported the lowest (2.4%). Almost two-thirds of the consultations were provided to lactating mothers (62.91%). Most data (90%) were collected from breastfeeding clinics in hospitals, and nurses were the main primary health care providers. The mean was 4,255 consultations per month. In terms of technology, telemedicine consultations were mostly conducted by phone (50%) and WhatsApp (38%). Satisfaction with telemedicine was reported by 80% of the participants, with a statistical difference found in those favoring telemedicine over in-person care (p=0.032), particularly for those using phone consultations and Telegram (p<0.001). WhatsApp respondents had the commonest neutral responses (p<0.001). Conclusion Telemedicine breastfeeding care has been widely established with high patient satisfaction. A national protocol outpatient lactation services with an intergrated hospital and primary care services and involvement of different health care professionals are recommended. Although breastfeeding counselling is proven to have a positive change on breastfeeding indicators, telemedicine tool per se needs further work on its role in breastfeeding indicators. Triage of cases to be evaluated face-to-face or referral to a specialist after telemedicine lactation care is an area for future work.

Clinical pharmacist role in improving the knowledge and outcomes in patients using isotretinoin: A randomized, controlled study.

Objective: To evaluate the role of a clinical pharmacist in improving knowledge and outcomes among isotretinoin users. Methods: Patients were randomly assigned to an intervention group (received education about isotretinoin by a clinical pharmacist in addition to the physician) and a control group (received routine education by the physician), then followed for three months. Patients' knowledge about isotretinoin optimal use, and side effects and their management and other outcomes were measured in both groups at baseline and at follow up after three months using a validated questionnaire. Results: Two-hundred and three patients completed the study; 103 were in the intervention group and 100 in the control group. The knowledge improvement between baseline score and follow-up score was greater in the intervention group (mean = 2.835 ± 1.329) compared to the control group (mean = 0.530 ± 0.784) with mean differences = -2.30495, P < 0.001. Conclusion: Implementing clinical pharmacy services in dermatology clinics can positively increase patients' level of knowledge about isotretinoin, which could reduce the severity of its side effects. Therefore, improving patients' quality of life, and improvement in acne. Practice implications: Implementing clinical pharmacist services to patients using isotretinoin is feasible in an outpatient setting. Clinical pharmacist counseling and education improve the medication knowledge among patients who use isotretinoin.

Adherence and utilization of short-term antibiotics: Randomized controlled study.

Enhancing adherence to medication has the potential to improve clinical outcomes and decrease healthcare cost. The role of clinical pharmacist-led education on adherence to short-term antibiotic has never been investigated in Jordan. This study aimed to evaluate the impact of an educational intervention on antibiotic short-term adherence and to assess the antibiotic utilization pattern. A prospective, single blinded, randomized controlled study was conducted in a tertiary referral hospital in Jordan. Adult patients diagnosed with acute infection and prescribed a short-term antibiotic course (< 30 day) were included in the study. Recruited patients were randomly allocated into control and intervention groups. Pharmaceutical education about the correct use of antibiotic/s was provided to the intervention group. The results showed that penicillins were the most prescribed antibiotics (38.7%) followed by fluoroquinolones (23.9%) and cephalosporines (20.9%). Patients in the intervention group were more likely to be adherent to the prescribed antibiotics compared to control group (OR = 1.445, 95CI% = 1.029-2.030, p = 0.033). Employed patients, less frequent administration of antibiotic, and searching information related to the prescribed antibiotics were factors associated with better adherence to short-term antibiotic (p<0.05). The most common reasons for non-adherence were feeling better and forgetfulness to take medication. These findings highlighted that pharmacist-led educational intervention significantly enhance adherence to prescribed short-term antibiotics which is a major drive to control antibiotic resistance. Initiatives should be adopted to include patient education as a regular element in the medication dispensing process. Clinical trial registration: The trial is registered at ClinicalTrials.gov (identifier: NCT05293977).

Adaptive Aquila Optimizer with Explainable Artificial Intelligence-Enabled Cancer Diagnosis on Medical Imaging.

Explainable Artificial Intelligence (XAI) is a branch of AI that mainly focuses on developing systems that provide understandable and clear explanations for their decisions. In the context of cancer diagnoses on medical imaging, an XAI technology uses advanced image analysis methods like deep learning (DL) to make a diagnosis and analyze medical images, as well as provide a clear explanation for how it arrived at its diagnoses. This includes highlighting specific areas of the image that the system recognized as indicative of cancer while also providing data on the fundamental AI algorithm and decision-making process used. The objective of XAI is to provide patients and doctors with a better understanding of the system's decision-making process and to increase transparency and trust in the diagnosis method. Therefore, this study develops an Adaptive Aquila Optimizer with Explainable Artificial Intelligence Enabled Cancer Diagnosis (AAOXAI-CD) technique on Medical Imaging. The proposed AAOXAI-CD technique intends to accomplish the effectual colorectal and osteosarcoma cancer classification process. To achieve this, the AAOXAI-CD technique initially employs the Faster SqueezeNet model for feature vector generation. As well, the hyperparameter tuning of the Faster SqueezeNet model takes place with the use of the AAO algorithm. For cancer classification, the majority weighted voting ensemble model with three DL classifiers, namely recurrent neural network (RNN), gated recurrent unit (GRU), and bidirectional long short-term memory (BiLSTM). Furthermore, the AAOXAI-CD technique combines the XAI approach LIME for better understanding and explainability of the black-box method for accurate cancer detection. The simulation evaluation of the AAOXAI-CD methodology can be tested on medical cancer imaging databases, and the outcomes ensured the auspicious outcome of the AAOXAI-CD methodology than other current approaches.

A Cross-Sectional Study of the Knowledge, Practice, and Attitude Towards Skin-Lightening Products Among the General Population in the Western Region of Saudi Arabia.

Introduction Skin bleaching is a growing phenomenon worldwide and is becoming an increasing problem. Several skin-lightening products (SLPs) containing mercury, hydroquinone, and corticosteroids have impacted serious dermatological, nephrological, and neurological side effects. There is relatively little regulation, and the products are easily accessible and inexpensive. Justifications and beliefs for the use of these products vary from culture to culture, and there is little previous research on the use and abuse of skin-lightening cosmetics among Saudi women. This study examines the knowledge, attitudes, and practices of the public in the western region of Saudi Arabia regarding SLPs to understand the situation better. Methodology An observational, cross-sectional, questionnaire-based study was conducted over two months between July and August 2022. A 29-question survey was used to collect data from the general population. The study included all women residing in the western region of Saudi Arabia. Non-Arabic speakers were excluded. RStudio (R version 4.1.1) was used to analyze the data. Results A total of 409 participants were included in this study; In general, 146 (35.7%) of the participants said they had ever used an SLP. More than two-thirds (67.1%) had been using them for less than a year. In terms of the most common site of SLPs application, women reported applying the products to the skin of their face (74.7%), elbows (47.3%), and knees (46.6%). Use of SLPs differed significantly across participants' ages, with the proportion of SLP users in the 20-30 age category significantly higher than non-users (50.7% vs. 36.9%, p=0.017), and non-users were more common than users within the age category >50 years. In addition, the proportion of SLP users relative to educational level was significantly higher among participants with a bachelor's degree than the proportion of non-users (69.2% vs. 54.0%, p = 0.009). Conclusions The results of this research show that Saudi women frequently utilize topical lightening products. Therefore, regulation and controlling the use of bleaching products is essential, as is educating women about the risks involved with this practice. The misuse of bleaching products should decline with greater awareness.

Automated Laryngeal Cancer Detection and Classification Using Dwarf Mongoose Optimization Algorithm with Deep Learning.

Laryngeal cancer (LCA) is a serious disease with a concerning global rise in incidence. Accurate treatment for LCA is particularly challenging in later stages, due to its complex nature as a head and neck malignancy. To address this challenge, researchers have been actively developing various analysis methods and tools to assist medical professionals in efficient LCA identification. However, existing tools and methods often suffer from various limitations, including low accuracy in early-stage LCA detection, high computational complexity, and lengthy patient screening times. With this motivation, this study presents an Automated Laryngeal Cancer Detection and Classification using a Dwarf Mongoose Optimization Algorithm with Deep Learning (ALCAD-DMODL) technique. The main objective of the ALCAD-DMODL method is to recognize the existence of LCA using the DL model. In the presented ALCAD-DMODL technique, a median filtering (MF)-based noise removal process takes place to get rid of the noise. Additionally, the ALCAD-DMODL technique involves the EfficientNet-B0 model for deriving feature vectors from the pre-processed images. For optimal hyperparameter tuning of the EfficientNet-B0 model, the DMO algorithm can be applied to select the parameters. Finally, the multi-head bidirectional gated recurrent unit (MBGRU) model is applied for the recognition and classification of LCA. The simulation result analysis of the ALCAD-DMODL technique is carried out on the throat region image dataset. The comparison study stated the supremacy of the ALCAD-DMODL technique in terms of distinct measures.

Prevalence of Hair Loss After COVID-19 Infection in Makkah Region, Saudi Arabia.

Introduction COVID-19, caused by SARS-CoV-2, is a worldwide pandemic with the most main symptoms seeming to be flu-like and fever. Besides that, dermatological manifestations have been reported as extra respiratory symptoms in previous studies. The aim of this study is to measure the prevalence of hair loss after COVID-19 infection in Saudi Arabia, and we hope to improve the knowledge on hair loss - a cause of common dermatological consultation that frequently becomes a stressful event associated with the pandemic - among all the physicians in all the specialties. Methodology This was a record-based retrospective cross-sectional, multicenter study conducted in four centers in the Makkah region. We identified 343 patients who visited the dermatology clinic for hair loss during the period 2020 to 2022. Results Evidence suggests that hair loss had been the most frequently reported post COVID-19 manifestation (48%). Our results revealed nearly half of the participants (48.5%) noticed hair loss increases by more than 120 hairs per day after COVID-19 infection, as well as half of the participants (52.6%) reported seeing hair accumulation on a pillow. Our results showed that telogen effluvium (TE) was the most reported type (156, 86.7%), followed by alopecia areata (15, 8.3%) and androgenic alopecia (9, 5.0%). Conclusion The results suggest that hair loss is noticeably prevalent in patients following COVID-19 infection, especially in females and patients with multiple comorbidities. Telogen effluvium (TE) was the most prevalent type of hair loss recognized among the patients.

Intelligent Deep Learning Enabled Oral Squamous Cell Carcinoma Detection and Classification Using Biomedical Images.

Oral cancer is one of the lethal diseases among the available malignant tumors globally, and it has become a challenging health issue in developing and low-to-middle income countries. The prognosis of oral cancer remains poor because over 50% of patients are recognized at advanced stages. Earlier detection and screening models for oral cancer are mainly based on experts' knowledge, and it necessitates an automated tool for oral cancer detection. The recent developments of computational intelligence (CI) and computer vision-based approaches help to accomplish enhanced performance in medical-image-related tasks. This article develops an intelligent deep learning enabled oral squamous cell carcinoma detection and classification (IDL-OSCDC) technique using biomedical images. The presented IDL-OSCDC model involves the recognition and classification of oral cancer on biomedical images. The proposed IDL-OSCDC model employs Gabor filtering (GF) as a preprocessing step to eliminate noise content. In addition, the NasNet model is exploited for the generation of high-level deep features from the input images. Moreover, an enhanced grasshopper optimization algorithm (EGOA)-based deep belief network (DBN) model is employed for oral cancer detection and classification. The hyperparameter tuning of the DBN model is performed using the EGOA algorithm which in turn boosts the classification outcomes. The experimentation outcomes of the IDL-OSCDC model using a benchmark biomedical imaging dataset highlighted its promising performance over the other methods with maximum accu y , prec n , reca l , and F score of 95%, 96.15%, 93.75%, and 94.67% correspondingly.

Perspectives of Refugee Youth Experiencing Homelessness: A Qualitative Study of Factors Impacting Mental Health and Resilience.

Homeless refugee youth experience high rates of traumatic and adverse experiences, a significant burden of mental health needs, and compounded barriers in accessing support services. Despite this, there is a paucity of literature exploring the unique intersections and vulnerabilities faced by this subgroup. This study of Youth Without Shelter (YWS), an emergency residence and referral agency serving homeless youth in Toronto, Canada was a qualitative study of homeless refugee youth. Research goals were to describe the mental health needs and identify the factors contributing to the resiliency of refugee youth experiencing homelessness. Data was collected through individual semi-structured interviews with YWS youth (n = 6) and analyzed using inductive thematic analysis with a realist lens. Results highlighted that the mental health of refugee youth experiencing homelessness was subject to system-level factors such as the immigration process (n = 6), housing insecurity (n = 5), finances (n = 5), education (n = 6), employment (n = 6) and sense of safety (n = 4), with acculturative stress, including culture shock (n = 3) and language (n = 4), also have negative effects. Goal directedness (n = 5), independence or responsibility (n = 4), and nurturing social connectedness with family (n = 5), peers (n = 6), and community (n = 4) contributed to participants' resilience. A model for planning future interventions was proposed and was informed by the lived experience of participants. This model focuses on initially on immediate and basic needs and reflected evidence gathered through this work to attend to long-term needs once individuals have integrated into society. Future efforts will be directed toward translating the lived experience of this population and developing practice guidelines to optimize care.

Prevalence and predictors of non-adherence to short-term antibiotics: A population-based survey.

Non-adherence to antibiotics is a well-known, core player to antibiotic resistance. The current adherence behavior toward short-term antibiotic regimens has never been investigated before in Jordan. This study assessed the prevalence and predictors of non-adherence to short-term antibiotics among Jordanians and investigated participants' views about different reasons related to antibiotics non-adherence. A cross-sectional face-to-face survey-based interview was conducted in three hospital pharmacies in Jordan. Adults and mother of children (≤12 years old) who completed their short course treatment (<30 day) of oral antibiotic within the last month were recruited. A total of 2000 participants (adults: 1000 and mothers of children: 1000) were included in the study with a response rate of 91.60%. The prevalence of non-adherence was estimated to be 32.10%. Non-adherent respondents scored a lower Medication Adherence Report Scale [16.76±5.02 vs. 23.04 ±3.24] than adherent respondents (p<0.001). Adults without comorbidity and children with higher number of doses per regimen were significantly less adherent to antibiotic [(OR = 0.615, 95%CI = 0.444-0.853, p = 0.004) and (OR = 0.965, 95%CI = 0.950-0.981, p<0.001)], respectively. Patients-related factors were the most common antibiotic non-adherence reason reported by the participants. The multivariate analysis for all the participants (adults and children), indicated that mothers were 2.6 times more likely to be adherent in giving antibiotics to their children than adults (p<0.001). These findings highlight that more than half of the participants were adherent to short-term antibiotics. However, improving the current prescription-related practices and implementing pharmaceutical consultation services upon antibiotic dispensing are encouraged.