The Preparation and Nonlinear Properties Study of a Mixture of Polyurethane and Neutral Red Dye Solution.

A mixture of polyurethane (PU) and neutral red (NR) dye solution is prepared. The nonlinear optical properties of the mixture of PU with NR dye solution are studied using a 473 nm laser beam of continuous fashion. The nonlinear refraction index of prepared material is determined via diffraction patterns and Z-scan. The diffraction patterns are calculated based on the Fresnel-Kirchhoff integral. Optical limiting of the prepared material is tested. All-optical switching occur in the sample using two low power visible laser beams.

Severe Insomnia Induced by Isotretinoin Use for the Management of Acne Vulgaris: A Rare Side Effect.

Isotretinoin has been widely prescribed for the management of moderate to severe acne vulgaris worldwide. It has been associated with different sleep disorders, mainly sleep apnea and hypersomnia. To our knowledge, only one study has found an association between isotretinoin use and insomnia. In addition, psychiatric disorders, such as psychosis and depression, have been linked to the use of isotretinoin previously. Here, we present a case of a 21-year-old male patient with severe acne vulgaris that underwent a therapeutic course of isotretinoin. During the course of treatment, he developed severe insomnia and depression. By reducing the daily dose, his insomnia was treated, as well as his depression. This case led to the conclusion that isotretinoin is associated with severe insomnia, and the severity of insomnia is dose-dependent.

Accommodative insufficiency in post-COVID-19 case with refractive error.

The aim of the case report is to present refractive error with accommodative insufficiency as a possible postinfectious manifestation of coronavirus disease-2019 (COVID-19). Three weeks after the COVID-19 infection, a 22-year-old subject presented with blurring of distance and near vision with a frontal headache after prolonged near work. The patient was not using any refractive correction before the COVID-19 infection. This case report describes the diagnosis, management, and treatment of accommodative dysfunction in a patient with a history of COVID-19 infection.

Falls and correlations among community-dwelling older adults: A Cross-sectional study in Jeddah, Saudi Arabia.

Objectives: Falls are one of the major health issues faced by older adults, and they can result in physical harm, eventual loss of independence, and even death. Herein, we investigated the prevalence, alongside the main risk factors and resulting injuries, of falls among older adults. Methods: We employed a descriptive cross-sectional approach. Data were collected between February and July 2021 from 403 older adults aged 60 years or above via an online self-reported questionnaire. Basic activities of daily living (BADLs) and instrumental activities of daily living (IADLs) were also recorded. Results: The prevalence of falls among community-dwelling older adults was 47.4%. Among those who had experienced a fall, 36.2% incurred injuries, 25.3% had fractures, and 23.1% required walking aids. Age between 95-104 years, female sex, participants on anti-hypertensive medications, history of hip or knee replacement surgery, and presence of a caregiver, were significantly more likely to have had a previous history of falls (p < 0.05). Furthermore, having a previous history of stroke, osteoporosis, lower limb weakness, dizziness, using wheelchairs as walking aids, and living with the fear of stumbling or slipping were significantly associated with history of previous falls (p < 0.05). Conclusions: The prevalence of falls is high among community-dwelling older adults in Jeddah. Physicians should identify older adults with higher falling risk and provide them with appropriate interventions. Public health strategies could significantly reduce falls and fall-related injuries in older adults.

Knowledge, Awareness, and Practice Related to Diabetic Foot Ulcer Among Healthcare Workers and Diabetic Patients and Their Relatives in Saudi Arabia: A Cross-Sectional Study.

Background Diabetes mellitus is a chronic progressive metabolic disorder characterized by high blood sugar affecting the whole body resulting in a significant impact on the quality of life for the patients and their families. Diabetes mellitus complications lead to morbidity, disability, and mortality and represent a serious global health issue threatening the health system worldwide and resulting in a critical economic impact for all countries, especially epidemic ones. Objective The objective of this study was to assess the level of knowledge and awareness regarding diabetic foot and related behaviour among diabetic patients and their relatives, as well as healthcare workers in Saudi Arabia. Methods A cross-sectional analytic study was conducted in 2022 on healthcare workers, diabetic patients, and their relatives above the age of 18 in Saudi Arabia by using a valid, pretested structured questionnaire. The collected data were analyzed using IBM SPSS Statistics for Windows, Version 26 (Released 2019; IBM Corp., Armonk, New York, United States). Results In this study, there was no correlation between the healthcare workers' attitude and knowledge. A total of 131 healthcare workers were involved, and a majority of them had good knowledge regarding the predisposing factors of diabetic foot ulcers, and 63 (48.1%) had good knowledge regarding diabetes foot care. On the other hand, there was poor knowledge regarding the characteristics and complications of diabetes ulcers. This study showed various attitudes among healthcare workers regarding diabetic ulcer care. For example, they prioritized the prevention of ulcers over treatment (N=67, 51.1%), the majority of healthcare workers were very keen to wound care (N=77, 58.8%), and they believed that it was their responsibility to educate their patients about reducing re-ulceration (N=86; 65.7%). However, 52 participants (39.7%) considered management of diabetic foot ulcer time-consuming, 54 (41.2%) mentioned that if they had the opportunity, they would like to avoid taking care of the diabetic wound, and 51 (38.9%) reported non-satisfaction with diabetic wound care.  One hundred diabetic patients and 117 relatives also were involved, and only 41.3% of participants (patients and relatives) had good knowledge regarding diabetes mellitus. However, our findings also revealed that 91.65% of the participants had good knowledge and a favourable attitude towards diabetes mellitus and diabetic foot care. Nevertheless, even though the participants had good knowledge regarding foot care, they had poor practice, with 56.55% scoring poor on the assessment questionnaire.  Conclusion Our study shows that most of the participants had good knowledge and attitudes but poor practices. This highlights the need for more efforts to educate the Saudi population about diabetes and its complications.

Predictors of Mortality in Home Health Care Service: Data from Saudi Arabia.

Objective: This study aimed to 1) report the prevalence of chronic conditions among Saudi people receiving long-term home health care (HHC) services, 2) identify the predictors of mortality among individuals receiving long-term HHC services, and 3) study the association between frailty and poor health outcomes among HHC users. Design: Retrospective cross-sectional descriptive study. Setting and Participants: A total of 555 participants were recruited from HHC services at King Saud University Medical City (KSUMC), Riyadh, Saudi Arabia. We collected the data from electronic health records (EHR), patient charts, and caregiver interviews for 555 participants included in HHC program from the year 2019 to 2022. Methods: Only individuals fulfilling the HHC program's eligibility criteria were included to the study. A total of 555 participants were included in the analysis. We assessed the functional performance by the Katz activity of daily living and Bristol Activity of Daily Living Scale (BADLS). A trained health care provider assessed frailty using the Clinical Frailty Scale (CFS). We calculated the means and frequency to describe the prevalence of chronic conditions and variables of interest. A Chi-square test or independent-samples t-test was run to determine if there were differences between the alive and deceased individuals. A binary logistic regression model was performed to predict mortality of HHC service recipients. Results: The mean age for deceased individuals in HHC was 78.3 years. Over twenty percent of individuals receiving HHC services were readmitted to the hospital. We found that the strongest predictors for mortality were pressure ulcers with an odds ratio of 3.75 and p-value of <0.0001, and the Clinical Frailty Scale, which had an odds ratio of 1.69 and p-value of 0.002, using multivariate regression analysis. Conclusions and Implications: In conclusion, our study found that pressure ulcers and frailty are the strongest predictors of mortality for individuals receiving home health care services.

Degree of Fibrosis in Human Atrial Tissue Is Not the Hallmark Driving AF.

BACKGROUND: The current paradigm is that fibrosis promotes electrophysiological disorders and drives atrial fibrillation (AF). In this current study, we investigated the relation between the degree of fibrosis in human atrial tissue samples of controls and patients in various stages of AF and the degree of electrophysiological abnormalities. METHODS: The degree of fibrosis was measured in the atrial tissue and serum of patients in various stages of AF and the controls. Hereto, picrosirius and H&E staining were performed to quantify degree of total, endo-perimysial fibrosis, and cardiomyocyte diameter. Western blot quantified fibrosis markers: neural cell adhesion molecule, tissue inhibitor of metalloproteinase, lysyl oxidase, and α-smooth muscle actin. In serum, the ratio carboxyl-terminal telopeptide of collagen/matrix-metalloproteinase1 was determined. High-resolution epicardial mapping evaluated low-voltage areas and conduction abnormalities. RESULTS: No significant differences were observed in the degree of fibrosis between the groups. Finally, no significant correlation-absolute nor spatial-was observed between all electrophysiological parameters and histological fibrosis markers. CONCLUSIONS: No differences in the degree of fibrosis were observed in patients from various stages of AF compared to the controls. Moreover, electrophysiological abnormalities did not correlate with any of the fibrosis markers. The findings indicate that fibrosis is not the hallmark of structural remodeling in AF.

Day Surgery Conversion: Rate and Possible Causes in King Fahad Specialist Hospital, Buraydah, Saudi Arabia.

Introduction Day surgery is defined as the admission of a patient and discharge after the surgical procedure within the same day. It is becoming increasingly popular as it provides multiple advantages for the health care system and patients, including better resource utilization in the form of decreasing the cost, increasing the number of patients served, a reduction in the waiting list length, and preservation of hospital beds for complex advanced cases. Internationally, patients' admission rate after a planned day surgery was found at 1.5%. Etiologies for day surgery conversion vary among studies, 75% of which were labeled as potentially preventable. As patients are admitted, the benefits of day surgery decrease. Aim This study aimed to measure the unanticipated admission rate of day surgery while evaluating the reasons for admission in King Fahad Specialist Hospital, Buraydah, Qassim, Saudi Arabia. Materials and methods This is a retrospective review study in which all medical records of patients admitted and operated as day surgery from January 1, 2015 to February 28, 2021 in King Fahad Specialist Hospital in Buraydah, Qassim region in Saudi Arabia were evaluated. Variables collected included baseline characteristics such as age, gender, body mass index (BMI), chronic diseases, surgical history, operation name, complications, and causes of conversion. Results A total of 6,771 day surgery cases were found from January 1, 2015 to February 28, 2021. Of them, 231 cases were converted to inpatient admission, and the prevalence of conversion was 3.4%. The most common cause of conversion was pain (35.1%) followed by postoperative care (16%), need of antibiotics (12.1%), and bleeding (8.2%); most of these cases were associated with laparoscopic cholecystectomy. Furthermore, laparoscopic cholecystectomy (36.4%), hernia repair (12.1%), and pilonidal sinus excision were the most frequent surgical intervention. Conclusion The day surgery conversion rate was minimal in this study (3.4%). Pain, postoperative care, and the need for antibiotics were the most common reasons for conversion. Continuous monitoring of day surgery conversion rate and causes will all help the institution to gain the maximum benefits of day surgeries.

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions.

The significant growth in the use of the Internet and the rapid development of network technologies are associated with an increased risk of network attacks. Network attacks refer to all types of unauthorized access to a network including any attempts to damage and disrupt the network, often leading to serious consequences. Network attack detection is an active area of research in the community of cybersecurity. In the literature, there are various descriptions of network attack detection systems involving various intelligent-based techniques including machine learning (ML) and deep learning (DL) models. However, although such techniques have proved useful within specific domains, no technique has proved useful in mitigating all kinds of network attacks. This is because some intelligent-based approaches lack essential capabilities that render them reliable systems that are able to confront different types of network attacks. This was the main motivation behind this research, which evaluates contemporary intelligent-based research directions to address the gap that still exists in the field. The main components of any intelligent-based system are the training datasets, the algorithms, and the evaluation metrics; these were the main benchmark criteria used to assess the intelligent-based systems included in this research article. This research provides a rich source of references for scholars seeking to determine their scope of research in this field. Furthermore, although the paper does present a set of suggestions about future inductive directions, it leaves the reader free to derive additional insights about how to develop intelligent-based systems to counter current and future network attacks.

Smart Health System to Detect Dementia Disorders Using Virtual Reality.

Smart health technology includes physical sensors, intelligent sensors, and output advice to help monitor patients' health and adjust their behavior. Virtual reality (VR) plays an increasingly larger role to improve health outcomes, being used in a variety of medical specialties including robotic surgery, diagnosis of some difficult diseases, and virtual reality pain distraction for severe burn patients. Smart VR health technology acts as a decision support system in the diseases diagnostic test of patients as they perform real world tasks in virtual reality (e.g., navigation). In this study, a non-invasive, cognitive computerized test based on 3D virtual environments for detecting the main symptoms of dementia (memory loss, visuospatial defects, and spatial navigation) is proposed. In a recent study, the system was tested on 115 real patients of which thirty had a dementia, sixty-five were cognitively healthy, and twenty had a mild cognitive impairment (MCI). The performance of the VR system was compared with Mini-Cog test, where the latter is used to measure cognitive impaired patients in the traditional diagnosis system at the clinic. It was observed that visuospatial and memory recall scores in both clinical diagnosis and VR system of dementia patients were less than those of MCI patients, and the scores of MCI patients were less than those of the control group. Furthermore, there is a perfect agreement between the standard methods in functional evaluation and navigational ability in our system where P-value in weighted Kappa statistic= 100% and between Mini-Cog-clinical diagnosis vs. VR scores where P-value in weighted Kappa statistic= 93%.

Synthesis, characterization and the nonlinear optical properties of newly synthesized 4-((1,3-dioxo-1-phenylbutan-2-yl)diazenyl)benzenesulfonamide.

The dye of azo compound is prepared by coupling reaction of dizonium salt of sulfanilamide with benzoylacetone. The product is characterized by FTIR spectroscopy, Mass spectroscopy and 1H NMR spectroscopy. The geometries of the synthesized dye is optimized using B3LYP method and 6-31G (d,p) basis sets. Nonlinear optical properties are investigated theoretically by calculation of some quantum chemical descriptors using the DFT/B3LYP method with a 6-31G(d,p) basis set in comparison with urea as a standard. The UV-visible spectrum of synthesized azo dye are calculated using TD-DFT with B3LYP/6-31G(d,p) level. The nonlinear refractive index of the prepared dye is calculated via the diffraction ring patterns and Z-scan techniques using 473 nm visible, continuous wave laser light. The diffraction ring patterns are numerically simulated using the Fresnel-Kirchhoff theory with reasonable agreements. The property of optical limiting of the azo dye is tested.

Intra-cerebral haemorrhage but not neurodegenerative disease appears over-represented in deaths of Australian cadaveric pituitary hormone recipients.

BACKGROUND AND PURPOSE: Recent scientific reports and epidemiological studies have engendered mounting concerns regarding the potential human-to-human transmissibility of non-prion neurodegenerative and related diseases. This study investigated whether recipients of cadaveric pituitary hormone treatments are at increased risk of death from non-prion neurodegenerative and related diseases. METHODS: A retrospective national cohort study based on death certificates of recipients of the cadaveric pituitary hormone treatments (n = 184) as part of the Australian Human Pituitary Hormone Program (AHPHP; n = 2940) 1967-1985. Standardised mortality ratios (SMR) from non-prion neurodegenerative and other diseases were estimated based on the Australian population. RESULTS: Allowing for potential diagnostic mis-attributions, there was no significant increase in the SMR from non-prion central nervous system (CNS) neurodegenerative disease, especially dementia and/or Alzheimer's disease (0.47; [95% CI: 0.19, 1.12] P = 0.081). The SMR for intra-cerebral haemorrhage, potentially related to cerebral amyloid angiopathy (CAA), was increased (2.77; [95% CI: 1.12-5.75] P = 0.009), although accommodation of possible mis-diagnosis through conflation of this category with other stroke causes of death emphasising likely intra-cranial haemorrhage showed no persisting significant increase in mortality in cadaveric pituitary hormone recipients, including all deaths recorded as due to intra-cranial haemorrhage (1.72; [95% CI: 0.80, 3.26] P = 0.123). CONCLUSION: In the setting of recent evidence strongly supporting the likelihood of brain-to-brain horizontal transmission and subsequent propagation and deposition of abnormally folded proteins associated with non-prion neurodegenerative and related disorders, this study offers further tentative support for deaths directly stemming from transmission of non-prion disease related to cadaveric pituitary hormone treatment. Acknowledging the limitations of the present study, however, ongoing detailed assessments of this potential risk are necessary.

The pattern of iron deficiency with and without anemia among medical college girl students in high altitude southern Saudi Arabia.

INTRODUCTION: The prevalence of iron deficiency, latent and symptomatic, is heterogeneous worldwide. In this study, we aim to explore the prevalence of iron deficiency, with and without anemia, among medical college females at the high Altitude Aseer region of Southwestern Saudi Arabia. METHODOLOGY: 200 female medical students were randomly sampled, between the ages of 19 and 27 years. Blood samples were collected for complete blood count (CBC) values and serum ferritin determination. Questionnaires were completed in order to collect demographics, medical history, and socioeconomic information of the participants. RESULTS: Prevalence of overall iron deficiency was high (63%, serum ferritin <20 µg/L, 52.5%, ferritin <15 µg/L). Anemia, adjusted for high altitude (defined as less than 13 g/dL was present in 41 participants (20.5%) and 12 (6.5%) have Hb <12 g/dL. Iron-deficiency anemia (Hb <13 g/dL and serum ferritin <15 µg/L) was present in 35 (17.5%). Personal and family history of anemia and poor animal product containing meals were positively correlated with the presence of iron deficiency state. Neither symptoms of anemia, nor the presence of menorrhagia correlate with the presence of iron deficiency anemia. CONCLUSION: Iron deficiency with and without anemia is a very common and condition in young females' population at high altitude. Implementing a lab method to screen for anemia on vulnerable populations is needed. Frequently asymptomatic, the primary care providers should maintain a high degree of suspicion in order to initiate screening for iron status.

A Comparative Systematic Literature Review on Knee Bone Reports from MRI, X-rays and CT Scans Using Deep Learning and Machine Learning Methodologies.

The purpose of this research was to provide a "systematic literature review" of knee bone reports that are obtained by MRI, CT scans, and X-rays by using deep learning and machine learning techniques by comparing different approaches-to perform a comprehensive study on the deep learning and machine learning methodologies to diagnose knee bone diseases by detecting symptoms from X-ray, CT scan, and MRI images. This study will help those researchers who want to conduct research in the knee bone field. A comparative systematic literature review was conducted for the accomplishment of our work. A total of 32 papers were reviewed in this research. Six papers consist of X-rays of knee bone with deep learning methodologies, five papers cover the MRI of knee bone using deep learning approaches, and another five papers cover CT scans of knee bone with deep learning techniques. Another 16 papers cover the machine learning techniques for evaluating CT scans, X-rays, and MRIs of knee bone. This research compares the deep learning methodologies for CT scan, MRI, and X-ray reports on knee bone, comparing the accuracy of each technique, which can be used for future development. In the future, this research will be enhanced by comparing X-ray, CT-scan, and MRI reports of knee bone with information retrieval and big data techniques. The results show that deep learning techniques are best for X-ray, MRI, and CT scan images of the knee bone to diagnose diseases.

The nonlinear optical properties of two dihydropyridones derived from curcumin.

Two dihydropyridone compounds are synthesized from curcumin using microwave radiation. Both compounds were identified by their melting points and 1HNMR spectra. The nonlinear properties viz., nonlinear absorption coefficients and nonlinear refractive index of both compounds were calculated at wavelength 473 nm using the diffraction ring patterns and Z-scan techniques separately. The diffraction ring patterns evolved from circular symmetric to asymmetric due to convection current in the vertical direction. As a result of using Gaussian laser beam, the Fraunhofer approximation of the Fresnel-Kirchhoff diffraction, have led to successful simulation of the diffraction ring patterns with good quantitative and excellent qualitative agreements compared with experimental results. Optical limiting property has been tested in both compounds.

Breast cancer knowledge and awareness among females in Al-Qassim Region, Saudi Arabia in 2018.

AIM: This study aimed to measure breast cancer (BC) awareness among women in Al-Qassim and to compare the results to previous studies in Saudi Arabia and international studies. METHOD: This is a cross-sectional study conducted in Al-Qassim region, Saudi Arabia. All women above 18 years of age were included and those who could not complete the questionnaire for any reason were excluded. The data were collected by using a valid pretested structured questionnaire taken from previous studies. Descriptive statistics were presented using frequency and proportion for all categorical variables and mean ± standard deviation for continuous variable. The relationship between dependent variable versus independent variables had been conducted using Chi-square test. P value of ≤0.05 was considered as statistically significant. RESULTS: Nearly all participants were highly aware of BC (95.4%) and half of them correctly identified that not only females are affected by BC. With regards to personal breast assessment, more than a half of them have done breast self-examination; however, only one out of four females had done clinical breast examination and mammography test. The most common risk factor of BC was family history and the commonest signs and symptoms were the size and shape changes of the breast. The prevalence of poor knowledge was 202 (38.9%) while good knowledge was 317 (61.1%). Age group in years and use of oral contraceptives were the independent significant factors of poor knowledge. CONCLUSION: The overall knowledge of women about BC in this study was inadequate. While half of the women performed breast self-examination on the contrary, the actual clinical breast examination found to be low. The most common risk factor being identified was family history of BC and smoking. Size and shape changes of breast as well as breast lump were the most common signs and symptoms. Age group in years and the use of contraceptives pills were being identified as the significant factors of knowledge toward BC.

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis.

OBJECTIVES: Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence. STUDY DESIGN AND SETTING: Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status. RESULTS: A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%). CONCLUSION: PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.

Brain Tumor Analysis Empowered with Deep Learning: A Review, Taxonomy, and Future Challenges.

Deep Learning (DL) algorithms enabled computational models consist of multiple processing layers that represent data with multiple levels of abstraction. In recent years, usage of deep learning is rapidly proliferating in almost every domain, especially in medical image processing, medical image analysis, and bioinformatics. Consequently, deep learning has dramatically changed and improved the means of recognition, prediction, and diagnosis effectively in numerous areas of healthcare such as pathology, brain tumor, lung cancer, abdomen, cardiac, and retina. Considering the wide range of applications of deep learning, the objective of this article is to review major deep learning concepts pertinent to brain tumor analysis (e.g., segmentation, classification, prediction, evaluation.). A review conducted by summarizing a large number of scientific contributions to the field (i.e., deep learning in brain tumor analysis) is presented in this study. A coherent taxonomy of research landscape from the literature has also been mapped, and the major aspects of this emerging field have been discussed and analyzed. A critical discussion section to show the limitations of deep learning techniques has been included at the end to elaborate open research challenges and directions for future work in this emergent area.

Knowledge and practices of fundoscopy among general practitioners in Qassim Province, Saudi Arabia, for the management of diabetic retinopathy and diabetic macular edema: A cross-sectional study.

OBJECTIVES: Blindness is one of the most widespread final pathways of diabetic retinopathy and its associated diabetic macular edema. The general practitioners are the first to encounter these diabetic patients. Fundoscopy is now considered as an ideal way for the diagnosis of patients with diabetic retinopathy. Therefore, this study was undertaken to know the ability and skills of general practitioners for the diagnosis and management of patients with diabetic retinopathy and diabetic macular edema. METHODS: This study was conducted in all major cities in Qassim province of Saudi Arabia during January to May 2017. A validated questionnaire was used to assess the general practitioners' knowledge and practice for the management of diabetic retinopathy and diabetic macular edema. Questions related to referrals, diagnosis, and treatment options to diabetic retinopathy and diabetic macular edema were asked to the general practitioners. RESULTS: Of 96 general practitioners, 76 returned the questionnaire with a response rate of 79.2%. Only 26.3% general practitioners referred patients with type 1 diabetes to ophthalmologists as per guidelines set by the American Academy of Ophthalmology, whereas 74% of general practitioners showed good knowledge for referring patients with type 2 diabetes to ophthalmology clinics. Lack of knowledge was also noticed for the treatment of diabetic retinopathy, as only 36.8% of general practitioners replied positive for dilated fundus examination option, whereas 78.9% of general practitioners chose laser photocoagulation as a treatment option. Similar response from them was observed for patients with diabetic macular edema. Furthermore, data also showed years in practice of general practitioners was well correlated with their knowledge for the management of diabetic retinopathy and diabetic macular edema. CONCLUSION: The general practitioners included in this study showed lack of knowledge in handling patients with diabetic retinopathy and diabetic macular edema. Therefore, refresher courses are needed that highlight the acquisition of their skills in fundoscopy.