PcLRR-RK3, an LRR receptor kinase is required for growth and in-planta infection processes in Phytophthora capsici.

Receptor protein kinases (RPKs) critically provide the basic infrastructure to sense, perceive, and conduct the signalling events at the cell surface of organisms. The importance of LRR-RLKs has been well studied in plants, but much less information has been reported in oomycetes. In this work, we have silenced the PcLRR-RK3 and characterised its functional importance in Phytophthora capsici. PcLRR-RK3 was predicted to encode signal peptides, leucine-rich repeats, transmembrane, and kinase domains. PcLRR-RK3-silenced transformants showed impaired colony growth, decreased deformed sporangia, and reduced zoospores count. The mycelium of silenced transformants did not penetrate within the host tissues and showed defects in the pathogenicity of P. capsici. Interestingly, gene silencing also weakens the ability of zoospores germination and penetration into host tissues and fails to produce necrotic lesions. Furthermore, PcLRR-RK3 localisation was found to be the plasma membrane of the cell. Altogether, our results revealed that PcLRR-RK3 was required for the regulation of vegetative growth, zoospores penetration, and establishment into host leaf tissues.

Classification of Alzheimer disease using DenseNet-201 based on deep transfer learning technique.

Alzheimer's disease (AD) is a brain illness that causes gradual memory loss. AD has no treatment and cannot be cured, so early detection is critical. Various AD diagnosis approaches are used in this regard, but Magnetic Resonance Imaging (MRI) provides the most helpful neuroimaging tool for detecting AD. In this paper, we employ a DenseNet-201 based transfer learning technique for diagnosing different Alzheimer's stages as Non-Demented (ND), Moderate Demented (MOD), Mild Demented (MD), Very Mild Demented (VMD), and Severe Demented (SD). The suggested method for a dataset of MRI scans for Alzheimer's disease is divided into five classes. Data augmentation methods were used to expand the size of the dataset and increase DenseNet-201's accuracy. It was found that the proposed strategy provides a very high classification accuracy. This practical and reliable model delivers a success rate of 98.24%. The findings of the experiments demonstrate that the suggested deep learning approach is more accurate and performs well compared to existing techniques and state-of-the-art methods.

Frequency, geographical distribution, clinical characteristics, antivenom utilisation and outcomes of King Cobra (Ophiophagus hannah) bites in Malaysia.

Snakebite envenomation remains an important, yet a neglected public health issue in most tropical and subtropical countries. Underdeveloped medical infrastructure, suboptimal medical services, poor documentation and failure to make snake-related injury a mandatory notifiable disease are important contributing factors. The King Cobra (Ophiophagus hannah) is a medically significant species encountered in Malaysia however, there have been few publications from the clinical perspective. The objectives of this study were to determine the frequency of King Cobra related injuries, geographical distribution, clinical presentation, type and frequency of antivenom utilization and the management outcome. This is a cross-sectional study of confirmed King Cobra related injuries consulted to Remote Envenomation Consultation Services (RECS) from 2015 to 2020. Data were extracted from the RECS database and descriptively analyzed. A total of 32 cases of King Cobra bite were identified. Most cases were from Peninsular Malaysia with the most frequent from the state of Pahang (n = 9, 28.1%). Most patients got bitten while attempting to catch or play with the snake (68.8%). Signs and symptoms of envenomation were documented in 24 (75.0%) cases and the most frequent systemic manifestation was ptosis (n = 13, 40.6%). Tracheal intubation and ventilatory support were required in 13 (40.6%) patients. Antivenom was administered to 22 (68.8%) patients with most (25.0%) receiving 10 vials (1 dose). The commonest antivenom used was monospecific King Cobra antivenom (50.0%) from Thai Red Cross. There was one death documented due to complications from necrotizing fasciitis and septicemia. Public awareness of the dangers and proper handling of King Cobras needs to be emphasised. Timely administration of the appropriate antivenom is the definitive treatment and leads to favorable outcomes.

Consensus statements for influenza awareness, prevention, and vaccination in Pakistan.

INTRODUCTION: Influenza is a serious underestimated viral infection in Pakistan and influenza vaccination and vaccination awareness are low. The current work aimed to develop consensus on influenza epidemiology, prevention, vaccination, and awareness in Pakistan. METHODOLOGY: A systematic literature search was conducted to develop recommendations on influenza vaccines in Pakistan. Experts' feedback was incorporated using the modified Delphi method. A three-step process was used, with 18 experts from different specialties from Pakistan who participated in voting rounds to achieve a minimum 75% agreement level. RESULTS: Pakistan has a low-immunization-rate and is susceptible to serious influenza outbreaks and influenza-related complications. Influenza circulates year-round in Pakistan but peaks during January and February. The subtype A/H1N1 is predominant. The experts urged vaccination in all individuals ≥ 6 months of age and with no contraindications. They highlighted special considerations for those with comorbidities and specific conditions. The experts agreed that the inactivated influenza vaccine is safe and efficient in pregnant women, immunocompromised, and comorbid respiratory and cardiovascular patients. Finally, the experts recommended conducting promotional and educational programs to raise awareness on influenza and vaccination. CONCLUSIONS: This is the first regional consensus on influenza and influenza vaccination in Pakistan with experts' recommendations to increase influenza vaccination and decrease influenza cases and its associated detrimental effects.

Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma, Version 2.2024, NCCN Clinical Practice Guidelines in Oncology

Chronic lymphocytic leukemia (CLL) and small lymphocytic lymphoma (SLL) are essentially different manifestations of the same disease that are similarly managed. A number of molecular and cytogenetic variables with prognostic implications have been identified. Undetectable minimal residual disease at the end of treatment with chemoimmunotherapy or venetoclax-based combination regimens is an independent predictor of improved survival among patients with previously untreated or relapsed/refractory CLL/SLL. The selection of treatment is based on the disease stage, presence or absence of del(17p) or TP53 mutation, immunoglobulin heavy chain variable region mutation status, patient age, performance status, comorbid conditions, and the agent's toxicity profile. This manuscript discusses the recommendations outlined in the NCCN Guidelines for the diagnosis and management of patients with CLL/SLL.

Comparison of risk factors for Methicillin Resistant Staphylococcus aureus (MRSA) colonization in healthy newborns, born to mothers with and without MRSA colonization.

Objective: To compare the risk factors for MRSA colonization in healthy newborns, born of mothers with and without MRSA colonization. Methods: This case control study was conducted in post-natal unit of Lady Willingdon Hospital, affiliated with King Edward Medical University/Mayo Hospital, Lahore from January to June 2017. The vaginal and anterior nares swabs for MRSA culture were collected from mothers within six hours before planned delivery and the neonatal anterior nares swabs for MRSA culture were taken within one hour of birth. All the samples were cultured in Paediatric Microbiology laboratory in Mayo Hospital. Data were analyzed through SPSS 20.0 and logistic regression was applied for risk factors analysis. Results: Out of total 80 mothers and their newborns, 15 (18.75%) mothers and 16 neonates (20%) were MRSA colonized. The frequency of MRSA colonization in mothers' anterior nares and vaginal swab was 17.5% and 1.25% respectively. The significant risk factors were prolonged rupture of membranes for >18 hours (p-value 0.02, odds ratio 11.85, 95% CI 1.41-99.3), birth weight <2500 grams (p-value 0.01, odds ratio 5.39, 95% CI 1.35-21.4), history of presence of meconium (p-value 0.006, odds ratio 7.30, 95% CI 1.78-29.8). The non-significant factors were age of mother (p-value 0.682, odds ratio 0.765, 95% CI 1.0.212-2.76), parity (p-value 0.185, odds ratio 3.82, 95% CI 0.46-31.66) , gestation (p-value 0.615, odds ratio 0.797, 95% CI 0.714-0.89) , mode of delivery (p-value 0.576, odds ratio 0.543, 95% CI 0.062-4.76), sex of baby (p-value 0.546, odds ratio 0.683, 95% CI 0.196-2.37) and presentation of baby at birth (p-value 0.47, odds ratio 0.795, 95% CI 0.71-0.89). Conclusion: The presence of meconium, prolonged rupture of membranes and low birth weight were the significant risk factors for MRSA colonization in healthy new-borns, born to mothers with and without MRSA colonization.

Stakeholders' views and opinions on existing guidelines on "How to Choose Mental Health Apps".

Background: Mental health Applications (Mhealth Apps) can change how healthcare is delivered. However, very little is known about the efficacy of Mhealth Apps. Currently, only minimum guidance is available in Assessment and Evaluation Tools (AETs). Therefore, this project aims to understand AET developers' perspectives and end users' experiences and opinions on "how to choose a Mhealth App". Objective: The primary objectives were: (1) obtaining stakeholder's opinions and experiences of development and use of AETs for Mhealth Apps, their weaknesses and strengths, and barriers in their implementation of Mhealth Apps; (2) the experiences of App users, their analyzation and, obstacles in the use of apps; and (3) to quantify themes related to choosing a Mhealth App. Methods: This qualitative study, used a sampling method to recruit six stakeholders (one App developer, two AET developers, an individual with lived experience of mental health illness, and two physicians) who were interviewed using a topic guide. These were examined by researchers (CT, WK, & FN) using thematic content analysis. Additionally, an anonymous online survey of 107 individuals was conducted. Findings: Our analyses revealed six main themes: (a) needs and opportunities; (b) views on Mhealth apps; (c) views & opinions on AETs; (d) implementation barriers; (e) system of evaluation and; (f) future directions. The first key concept was, all stakeholders agreed that Apps could significantly impact mental health and that end-users were unaware of mental health AETs and Apps. Secondly, due to commercial interests, end-users reliability of App evaluations requires clear conflict-free guidelines. Thirdly, AETs should be evaluated and developed through a rigorous methodology. Finally, stakeholders shared insights into future developments for AETs and Mhealth Apps. Additionally, online survey respondents chose a "health professional" as their preferred source of guidance in selecting a Mhealth app (84%) and best suited to develop guidelines (70%). Conclusion: The interviews and survey highlight the need for Mhealth Apps to be regulated and the importance of health professionals' engagement in the implementation process. Similarly, without well-defined roles for App evaluations within the health care system, it is unlikely that AETs will have wider spread use and impact without risk.

Study Comparing Topical Ivermectin Versus Topical Permethrin in the Treatment of Scabies.

Introduction Scabies is a highly contagious skin disease caused by an ectoparasite mite called Sarcoptes scabiei. Ivermectin and permethrin have been commonly used for the treatment of scabies. However, topical ivermectin has been compared to other treatment modalities to a lesser extent. Objective This study aimed to compare the efficacy of topical ivermectin versus topical permethrin in the treatment of uncomplicated scabies. Methods 354 patients with scabies attending the dermatology outpatient department of Pak Emirates Military Hospital Rawalpindi were enrolled. Patients were divided into two groups randomly. The first group and their family contacts received 1% ivermectin lotion whereas the other received 5% permethrin lotion. Patients were evaluated at the end of the second and the fourth week. Results At the end of the second week, initial follow-up showed that 97 out of 159 patients (61.0%) in the ivermectin 1% group, and 107 out of 159 patients (67.3%) in the permethrin 5% group had achieved clinical cure (P=0.24). On the final follow-up at the end of Week 4, the cure rate amounted to 85.5% (136 of 159 patients) in the ivermectin group and 89.9% (143 of 159 patients) in the permethrin group. Differences among both groups remained statistically insignificant (P=0.23). Conclusions The use of ivermectin 1% versus permethrin 5% as topical therapy showed almost identical results for the treatment of uncomplicated scabies. Side effects were minimal and there were no significant differences observed in patients with regard to compliance among both the groups.

Age and sex-related comparison of referral-based telemedicine service utilization during the COVID-19 pandemic in Ontario: a retrospective analysis.

BACKGROUND: The COVID-19 pandemic has led to increased utilization of telemedicine services. METHODS: A retrospective analysis of all referral-based ambulatory telemedicine services in Ontario from November 2019 to June 2021 was collected from the Ontario Health Insurance Plan (OHIP) billing database. Only fee-for-service billings were included in the present analysis. Coincident COVID-19 cases were obtained from Public Health Ontario. Comparisons were made based on age bracket, sex, telemedicine and in-person care. RESULTS: Billings for telemedicine services in Ontario increased from $1.7 million CAD in November 2019 to $64 million CAD in April 2020 and the proportions reached a mean peak of 72% in April 2020 and declined to 46% in June 2021. A positive correlation was found between the use of telemedicine and COVID-19 cases (p = 0.05). The age group with the highest proportion of telemedicine use was the 10-20-year-olds, followed by the 20-50-year-olds (61 ± 9.0%, 55 ± 7.3%, p = 0.01). Both age groups remained above 50% telemedicine services at the end of the study period. There seemed to be higher utilization by females (females 54.2 ± 8.0%, males 47.9 ± 7.7%, ANCOVA p = 0.05) for all specialties, however, after adjusting for male to female ratio m:f of 0.952:1.0 according to the 2016 census, this was no longer significant. CONCLUSIONS: The use of telemedicine services remained at a high level across groups, particularly the 10-50-year-olds. There were clear age preferences for using telemedicine. Studying these differences may provide insights into how the delivery of non-hospital-based medicine has changed during the COVID-19 pandemic.

Post-graduate educational environment of two parallel programs in Pediatric Medicine.

Objective: To compare the trainees' perception of the Educational Environment (EE) of the two parallel post-graduate training programs (MD & FCPS) in Pediatric Medicine. Methods: This quantitative cross-sectional study was carried out by Department of Medical Education UOL and Department of Pediatric Medicine KEMU from February to December 2021. Data about the perception of EE was collected from the Pediatric Medicine trainees by purposive sampling using the 40 items PHEEM inventory. The inventory has three perception domains: role autonomy, teaching, and social support. In addition, to mean scores, the inventory also gives interpretation according to the score ranges. The FCPS and MD trainees of both genders and all years of training across the institutions of Punjab were approached using Google Forms. SPSS (v 23.0) was used for descriptive and analytic statistics. Results: A total of 327 trainees' responses were included-188 (57.5%) FCPS and 139 (42.5%) MD trainees. The mean overall score was 92±19.7 for FCSP and 93.88±21.5 for MD trainees (p-value 0.41). The interpretation of the overall score was "more positive than negative but room for improvement" in 67.3%. For the subscales of role autonomy, teaching, and social support, the perception was positive by 71%, 80%, and 45% of trainees, respectively. Except for three individual items, the mean scores of the subscales and the individual items were not statistically different between the two groups. Conclusion: The Pediatric Medicine trainees' perception of the educational environment in the FCPS and MD groups was comparable overall and in all three domains. Individual item analysis showed almost similar areas for improvement in both programs.

NCCN Guidelines® Insights: B-Cell Lymphomas, Version 6.2023.

Novel targeted therapies (small molecule inhibitors, antibody-drug conjugates, and CD19-directed therapies) have changed the treatment landscape of relapsed/refractory B-cell lymphomas. Bruton's tyrosine kinase (BTK) inhibitors continue to evolve in the management of mantle cell lymphoma (MCL), in both the relapsed/refractory and the frontline setting. Anti-CD19 CAR T-cell therapies are now effective and approved treatment options for relapsed/refractory follicular lymphoma (FL), diffuse large B-cell lymphoma (DLBCL), and MCL. Bispecific T-cell engagers represent a novel immunotherapeutic approach for relapsed FL and DLBCL after multiple lines of therapies, including prior CAR T-cell therapy. These NCCN Guideline Insights highlight the significant updates to the NCCN Guidelines for B-Cell Lymphomas for the treatment of FL, DLBCL, and MCL.

Rise in the Number of Complex Skin Cancers Necessitates Establishing Mohs Micrographic Surgery Fellowships in Pakistan.

As more and more patients seek treatment for increasingly complicated and cosmetically challenging skin cancers, Mohs Micrographic Surgery (MMS) is now exceedingly in demand. Training in MMS could help dermatologists improve patient outcomes allowing them to handle complex lesions safely and efficiently and hence, provide the best possible care. As a result, there is an urgent need to train additional dermatologists in Mohs Surgery in order to meet the huge demand for dermatologists with imperative expertise, specifically in this field.

DR-NASNet: Automated System to Detect and Classify Diabetic Retinopathy Severity Using Improved Pretrained NASNet Model.

Diabetes is a widely spread disease that significantly affects people's lives. The leading cause is uncontrolled levels of blood glucose, which develop eye defects over time, including Diabetic Retinopathy (DR), which results in severe visual loss. The primary factor causing blindness is considered to be DR in diabetic patients. DR treatment tries to control the disease's severity, as it is irreversible. The primary goal of this effort is to create a reliable method for automatically detecting the severity of DR. This paper proposes a new automated system (DR-NASNet) to detect and classify DR severity using an improved pretrained NASNet Model. To develop the DR-NASNet system, we first utilized a preprocessing technique that takes advantage of Ben Graham and CLAHE to lessen noise, emphasize lesions, and ultimately improve DR classification performance. Taking into account the imbalance between classes in the dataset, data augmentation procedures were conducted to control overfitting. Next, we have integrated dense blocks into the NASNet architecture to improve the effectiveness of classification results for five severity levels of DR. In practice, the DR-NASNet model achieves state-of-the-art results with a smaller model size and lower complexity. To test the performance of the DR-NASNet system, a combination of various datasets is used in this paper. To learn effective features from DR images, we used a pretrained model on the dataset. The last step is to put the image into one of five categories: No DR, Mild, Moderate, Proliferate, or Severe. To carry this out, the classifier layer of a linear SVM with a linear activation function must be added. The DR-NASNet system was tested using six different experiments. The system achieves 96.05% accuracy with the challenging DR dataset. The results and comparisons demonstrate that the DR-NASNet system improves a model's performance and learning ability. As a result, the DR-NASNet system provides assistance to ophthalmologists by describing an effective system for classifying early-stage levels of DR.

An Automated Deep Learning Approach for Spine Segmentation and Vertebrae Recognition Using Computed Tomography Images.

Spine image analysis is based on the accurate segmentation and vertebrae recognition of the spine. Several deep learning models have been proposed for spine segmentation and vertebrae recognition, but they are very computationally demanding. In this research, a novel deep learning model is introduced for spine segmentation and vertebrae recognition using CT images. The proposed model works in two steps: (1) A cascaded hierarchical atrous spatial pyramid pooling residual attention U-Net (CHASPPRAU-Net), which is a modified version of U-Net, is used for the segmentation of the spine. Cascaded spatial pyramid pooling layers, along with residual blocks, are used for feature extraction, while the attention module is used for focusing on regions of interest. (2) A 3D mobile residual U-Net (MRU-Net) is used for vertebrae recognition. MobileNetv2 includes residual and attention modules to accurately extract features from the axial, sagittal, and coronal views of 3D spine images. The features from these three views are concatenated to form a 3D feature map. After that, a 3D deep learning model is used for vertebrae recognition. The VerSe 20 and VerSe 19 datasets were used to validate the proposed model. The model achieved more accurate results in spine segmentation and vertebrae recognition than the state-of-the-art methods.

Frequency, geographical distribution and outcomes of pit viper bites in Malaysia consulted to Remote Envenomation Consultancy Services (RECS) from 2017 to 2020.

Not all pit viper species are present in every state of Malaysia and their distribution varies according to altitude. There is limited information on pit viper bite incidence and its geographical distribution. This was a cross-sectional study of confirmed pit viper bite cases referred to Remote Envenomation Consultancy Services (RECS) from January 2017 to December 2020. Data was collected following the approval of institutional research ethics committee. Universal sampling methods were used. Confirmed pit viper bite cases in each state, geographical location and the antivenom used were reported. A total of 523 confirmed pit viper bite injuries occurred over the 4-year study period. The majority were Malaysians, male and young adults. Most were non-occupational related (83.9%) and involved the upper limbs (46.8%). The commonest pit viper species involved was Trimeresurus purpureomaculatus (23.7%). Green pit viper antivenom (GPAV) was the most frequent antivenom used (n = 51) with the majority of patients requiring only one dose (3 vials). This study provides a better appreciation of indigenous pit viper species distribution for each state and reflects the requirement of appropriate antivenom to be stocked in each state or district hospital.

Accurate Prediction of Anxiety Levels in Asian Countries Using a Fuzzy Expert System.

Anxiety is a common mental health issue that affects a significant portion of the global population and can lead to severe physical and psychological consequences. The proposed system aims to provide an objective and reliable method for the early detection of anxiety levels by using patients' physical symptoms as input variables. This paper introduces an expert system utilizing a fuzzy inference system (FIS) to predict anxiety levels. The system is designed to address anxiety's complex and uncertain nature by utilizing a comprehensive set of input variables and fuzzy logic techniques. It is based on a set of rules that represent medical knowledge of anxiety disorders, making it a valuable tool for clinicians in diagnosing and treating these disorders. The system was tested on real datasets, demonstrating high accuracy in the prediction of anxiety levels. The FIS-based expert system offers a powerful approach to cope with imprecision and uncertainty and can potentially assist in addressing the lack of effective remedies for anxiety disorders. The research primarily focused on Asian countries, such as Pakistan, and the system achieved an accuracy of 87%, which is noteworthy.

A prospective study on linking diarrheagenic E. coli with stunted childhood growth in relation to gut microbiome.

Stunted growth is an emerging global challenge affecting children under the age of 5 years in low- and middle-income countries. Despite such a high global prevalence of stunting, the mechanism of pathogenesis and the role of associated gut microbiota is poorly understood. The present study was designed to investigate the association of pathogenic strains of E. coli with the residential gut microbiota of stunted growth children. A total of 64 stool sample were collected from children aged ≤ 5 years, and were processed for isolation and molecular characterization of diarrheagenic E. coli. Selected stool samples (n = 39 including three normal controls) were then analysed for microbial community profiling using 16S ribosomal RNA (rRNA) gene sequencing. Furthermore, associations between changes in the microbiota in the presence of different E. coli strains was explored. Pathotyping of the isolated E. coli (n = 64) has shown that 39.68% belonged to one of the five pathotypes of E. coli whilst the remaining ones were non-typeable. Amongst the different pathotypes, EPEC was found to be the most prevalent (52%; n = 13), followed by EAEC (20%; n = 5), EIEC (12%; n = 3), EHEC (8%; n = 2) and ETEC 2 (8%; n = 2). Phylogrouping analysis has shown that majority of the strains belonged to B2 (28.12%). Microbial diversity is shown to be significant and varied when the samples are organized under the recovered phylogroups. Moreover, based on predictive metabolism, the colonization of these strains were found to be significantly associated with energy utilization pathways such as Denovoprine-2 and glyoxylate-by. Differential analysis has shown that Escherichia-Shigella and Enterococcus were altered for the children with stunted growth.

Evaluation of the Resources and Inequities Among Pediatric Critical Care Facilities in Pakistan.

OBJECTIVES: To evaluate nationwide pediatric critical care facilities and resources in Pakistan. DESIGN: Cross-sectional observational study. SETTING: Accredited pediatric training facilities in Pakistan. PATIENTS: None. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A survey was conducted using the Partners in Health 4S (space, staff, stuff, systems) framework, via email or telephone correspondence. We used a scoring system in which each item in our checklist was given a score of 1, if available. Total scores were added up for each component. Additionally, we stratified and analyzed the data between the public and private healthcare sectors. Out of 114 hospitals (accredited for pediatric training), 76 (67%) responded. Fifty-three (70%) of these hospitals had a PICU, with a total of 667 specialized beds and 217 mechanical ventilators. There were 38 (72%) public hospitals and 15 (28%) private hospitals. There were 20 trained intensivists in 16 of 53 PICUs (30%), while 25 of 53 PICUs (47%) had a nurse-patient ratio less than 1:3. Overall, private hospitals were better resourced in many domains of our four Partners in Health framework. The Stuff component scored more than the other three components using analysis of variance testing ( p = 0.003). On cluster analysis, private hospitals ranked higher in Space and Stuff, along with the overall scoring. CONCLUSIONS: There is a general lack of resources, seen disproportionately in the public sector. The scarcity of qualified intensivists and nursing staff poses a challenge to Pakistan's PICU infrastructure.

Endogenous Endopthalmitis in Disseminated Methicillin-Sensitive Staphylococcus aureus (MSSA) Bacteremia.

Endogenous endophthalmitis (EE) is an ocular infection resulting from hematogenous spread from the remote primary source. Risk factors include endocarditis, bacteria meningitis, immunosuppressive state, and invasive procedures in patients with sepsis. We present a case of a 43-year-old gentleman with poorly controlled diabetes mellitus who was admitted for bilateral nasoseptal cellulitis with a right nasal wall abscess and right vocal cord palsy. At presentation, he just had preseptal cellulitis without any posterior segment involvement. He underwent incision and drainage under the Otorhinolaryngology team. Unfortunately, postoperatively he developed sepsis with a hematogenous spread of infection systemically involving his right eye (endophthalmitis) and his heart valve (infective endocarditis). Blood culture revealed Methicillin Sensitive Staphylococcus Aureus (MSSA) infection. He had six weeks of intravenous cloxacillin and three times intravitreal injections of vancomycin and ceftazidime with complete resolution of signs and symptoms. In the case of a poorly controlled diabetic patient with an extensive regional infection, the presence of ocular symptoms and signs that are suggestive of EE must be taken seriously and warrant a complete eye examination as early detection and treatment of EE is crucial for better prognosis.

Coronoid fixation and lateral collateral ligament repair in varus posteromedial rotatory instability of the elbow.

Background: Varus posteromedial rotatory instability is a relatively rare elbow injury, that has been infrequently reported in published literature. We intended to evaluate the outcomes of surgical management of this rare injury with anteromedial coronoid fixation, and, in selected patients, lateral ulnar collateral ligament (LUCL) repair. Methods: Between 2017 and 2020, we identified 12 patients with anteromedial coronoid fractures, and a varus posteromedial rotatory instability, who underwent surgery for fixation of the coronoid fracture, with or without LCL repair. All the included patients were either O'Driscoll subtype 2-2, or subtype 2-3. All the 12 patients were followed up for a minimum of 24 months, and their functional outcomes assessed using the Mayo Elbow Performance Score (MEPS). Results: The mean MEPS recorded in our study was 92.08, and the mean range of elbow flexion achieved was 124.2°. The mean flexion contracture in our patients was 5.83°. Three of our twelve patients (25%) suffered from elbow stiffness even at final follow-up. The results were graded as Excellent in eight, Good in three, and Fair in one patient. Conclusion: Coronoid fractures and LUCL disruptions associated with varus posteromedial rotatory instability can be reliably managed by employing a protocol that combines radiographic parameters, as well as intra-operative assessments of stability. While surgical intervention successfully restored stability, there is a learning curve to the management of these injuries and complications are not uncommon, particularly elbow stiffness. Hence, in addition to surgical fixation, emphasis should also be placed on intensive post-operative rehabilitation to improve outcomes.