Health service nutrition practices and associations with clinical outcomes in patients undergoing resection for upper gastrointestinal cancer: Results from the multi-centre NOURISH point prevalence study.

BACKGROUND: The present study aimed to investigate health service nutrition practices of sites providing care to patients undergoing surgery for upper gastrointestinal cancer within Australia, including the provision of perioperative nutrition support services and outpatient clinics, as well as the use of evidence-based nutrition care pathways/protocols. Secondary aims were to investigate associations between the use of a nutrition care pathway/protocol and patient outcomes. METHODS: Principal investigator dietitians for the sites (n = 27) participating in the NOURISH point prevalence study participated in a purpose-built site-specific survey regarding perioperative nutrition practices and protocols. Data from the 200 patients who participated in the study (including malnutrition prevalence, preoperative weight loss and receipt of dietetics intervention, intraoperative feeding tube insertions, provision of nutrition support day 1 post surgery, length of stay, and complications) were investigated using multivariate analysis to determine associations with the sites' use of a nutrition care pathway/protocol. RESULTS: The majority of sites (>92%) reported having dietetics services available in chemotherapy/radiotherapy. Eighty-five percent of sites reported having some form of outpatient clinic service; however, a routine service was only available at 26% of sites preoperatively and 37% postoperatively. Most preoperative services were embedded into surgical/oncology clinics (70%); however, this was reported for only 44% of postoperative clinics. Only 44% had a nutrition care pathway/protocol in place. The use of a nutrition care pathway/protocol was associated with lower rates of malnutrition, as well as higher rates of preoperative dietetics intervention, intraoperative feeding tube insertions, and European Society of Clinical Nutrition and Metabolism (ESPEN) guideline compliant care day 1 post surgery. CONCLUSIONS: The results of the present study demonstrate varied perioperative outpatient nutrition services in this high-risk patient group. The use of nutrition care pathways and protocols was associated with improved patient outcomes.

Implementation of a standardised perioperative nutrition care pathway in upper gastrointestinal cancer surgery: A multisite pilot study.

BACKGROUND: Perioperative nutrition support is recommended for patients undergoing upper gastrointestinal (UGI) cancer surgery; however, limited evidence exists regarding implementation of a nutrition care pathway in clinical practice. The aims of this pilot study were to determine whether implementation of a standardised perioperative nutrition pathway for patients undergoing UGI cancer surgery improves access to dietetics care, as well as to evaluate study feasibility, fidelity, resource requirements and effect on clinical outcomes. METHODS: Patients with newly diagnosed UGI cancer from four major metropolitan hospitals in Melbourne, planned for curative intent surgery, were included in the prospective pilot study (n = 35), with historical controls (n = 35) as standard care. Outcomes were dietetics care (dietetics contacts) nutritional status, hand grip strength, weight change, preoperative hospital admissions, complications and length of stay, recruitment feasibility, fidelity and adherence, and resource requirements. Continuous data were analysed using independent samples t test accounting for unequal variances or a Mann-Whitney U test. Dichotomous data were analysed using Fisher's exact test. RESULTS: The percentage of participants receiving preoperative dietetic intervention increased from 55% to 100% (p < 0.001). Mean ± SD dietetics contacts increased from 2.2 ± 3.7 to 5.9 ± 3.9 (p < 0.001). Non-statistically significant decreases in preoperative nutrition-related hospital admissions, and surgical complications were demonstrated in patients who underwent neoadjuvant therapy. Recruitment rate was 81%, and adherence to the nutrition pathway was high (> 70% for all stages of the pathway). The mean ± SD estimated resource requirement for the preoperative period was 3.7 ± 2.8 h per patient. CONCLUSIONS: Implementation of this standardised nutrition pathway resulted in improved access to dietetics care. Recruitment feasibility and high fidelity to the intervention suggest that a larger study would be viable.

Application of Machine Learning to Ranking Predictors of Anti-VEGF Response.

Age-related macular degeneration (AMD) is a heterogeneous disease affecting the macula of individuals and is a cause of irreversible vision loss. Patients with neovascular AMD (nAMD) are candidates for the anti-vascular endothelial growth factor (anti-VEGF) treatment, designed to regress the growth of abnormal blood vessels in the eye. Some patients fail to maintain vision despite treatment. This study aimed to develop a prediction model based on features weighted in order of importance with respect to their impact on visual acuity (VA). Evaluations included an assessment of clinical, lifestyle, and demographic factors from patients that were treated over a period of two years. The methods included mixed-effects and relative importance modelling, and models were tested against model selection criteria, diagnostic and assumption checks, and forecasting errors. The most important predictors of an anti-VEGF response were the baseline VA of the treated eye, the time (in weeks), treatment quantity, and the treated eye. The model also ranked the impact of other variables, such as intra-retinal fluid, haemorrhage, pigment epithelium detachment, treatment drug, baseline VA of the untreated eye, and various lifestyle and demographic factors. The results identified variables that could be targeted for further investigation in support of personalised treatments based on patient data.

Sports-related ocular injuries at a tertiary eye hospital in Australia: A 5-year retrospective descriptive study.

OBJECTIVE: To describe the demographics and outcomes of sports-related ocular injuries in an Australian tertiary eye hospital setting. METHODS: Retrospective descriptive study from the Royal Victorian Eye and Ear Hospital from 2015 to 2020. Patient demographics, diagnosis and injury causation were recorded from baseline and follow-up. Outcomes included visual acuity (VA), intraocular pressure (IOP), ocular injury diagnosis, investigations and management performed. RESULTS: A total of 1793 individuals (mean age 28.67 ± 15.65 years; 80.42% males and 19.58% females) presented with sports-related ocular trauma. The top three injury-causing sports were soccer (n = 327, 18.24%), Australian rules football (AFL) (n = 306, 17.07%) and basketball (n = 215, 11.99%). The top injury mechanisms were projectile (n = 976, 54.43%) and incidental body contact (n = 506, 28.22%). The most frequent diagnosis was traumatic hyphaema (n = 725). Best documented VA was ≥6/12 at baseline in 84.8% and at follow-up in 95.0% of cases. The greatest risk of globe rupture/penetration was associated with martial arts (odds ratio [OR] 16.22); orbital blow-out fracture with skiing (OR 14.42); and hyphaema with squash (OR 4.18): P < 0.05 for all. Topical steroids were the most common treatment (n = 693, 38.7%). Computed tomography orbits/facial bones were the most common investigation (n = 184, 10.3%). The mean IOP was 16.1 mmHg; 103 (5.7%) cases required topical anti-ocular hypertensives. Twenty-six individuals (1.45%) required surgery with AFL contributing the most surgical cases (n = 5, 19.23%). CONCLUSION: The top three ocular injury causing sports were soccer, AFL and basketball. The most frequent injury was traumatic hyphaema. Projectiles posed the greatest risk.

Adherence to ESPEN guidelines and associations with postoperative outcomes in upper gastrointestinal cancer resection: results from the multi-centre NOURISH point prevalence study.

BACKGROUND: Postoperative nutrition support is an essential component of management in upper gastrointestinal (UGI) cancer resection, however there is limited knowledge of current clinical practice. This study aimed to describe the postoperative nutrition support received by patients undergoing UGI cancer resections, assess adherence with ESPEN surgical guideline recommendations, and to investigate differences between oesophageal, gastric and pancreatic surgeries. The secondary aim was to explore the association of adherence with ESPEN guidelines and provision of nutrition support, with surgical complications and length of stay (LOS). METHODS: The NOURISH point prevalence study was conducted between September 2019-June 2020 across 27 Australian tertiary centres. Malnutrition was diagnosed using subjective global assessment. Data on postoperative diet codes, prescription of nutrition support (oral (ONS), enteral (EN), parenteral (PN)) and nutritional adequacy were collected by dietitians for the first 10 days of admission. Fisher's exact test was used to determine differences in nutritional management and adherence to ESPEN guidelines between surgery types. Multivariate regression analysed associations with surgical outcomes. RESULTS: Two-hundred participants were included (42% pancreatic, 33% oesophageal, 25% gastric surgery). Overall, only 34.9% (n = 53) met the guideline recommendations that were applicable to them. Early oral intake of fluids or solids (within 24 h post surgery) was initiated for 23.5% (n = 47), whilst ONS/EN/PN was initiated for 49.5% (n = 99). Only 25% of pancreatic surgeries had nutrition support initiated on the first postoperative day compared to 86.4% of oesophageal and 42.0% of gastric surgeries (p < 0.001). In those who were 'nil by mouth', EN/PN were commenced within 24 h for 51.0% (n = 78), with 18.5% and 45.2% for pancreatic and gastric surgeries compared to 86.0% in oesophageal surgeries (p < 0.001). In malnourished patients, 35.7% (n = 30) commenced EN within 24 h, with 11.1% and 31.8% for pancreatic and gastric compared to 73.1% in oesophageal surgeries (p < 0.001). For patients meeting <60% energy/protein requirements for ≥7 days, only 14.8% (n = 9) received EN/PN, with 2.5% and 16.7% of pancreatic and gastric compared to 75.0% of oesophageal surgeries (p < 0.001). The number of days spent 'nil by mouth' or 'clear fluids' without EN/PN, as well as number of days with <60% estimated requirements met were independently associated with increased LOS and complications. CONCLUSIONS: Overall, there was poor adherence to the majority of assessed ESPEN guidelines, and care for patients undergoing pancreatic and gastric surgeries was less compliant than oesophagectomy. Poor nutritional adequacy was associated with increased LOS and complications. There is a clear need for knowledge translation and implementation studies to increase adherence to evidence-based recommendations in the Australian setting supported by an understanding of barriers and enablers to optimal postoperative nutrition management.

Intereye Symmetry in Bietti Crystalline Dystrophy.

PURPOSE: To evaluate anatomic and functional intereye symmetry among individuals with Bietti crystalline dystrophy (BCD) using clinical and multimodal imaging methods, with a focus on the number, area, and distribution of the characteristic retinal crystalline deposits. DESIGN: Observational case series with prospective and retrospective data. METHODS: Setting: Multicenter. STUDY POPULATION: Thirteen Australian and New Zealand participants (26 eyes) with confirmed biallelic CYP4V2 mutations and a characteristic BCD fundus appearance. Procedures and main outcome measures: Crystals visible on color fundus photography were manually counted. Crystals were superimposed on aligned multimodal fundus images. Spearman's correlation coefficients (ρ), intraclass correlation coefficients (ICCs), and Bland-Altman plots were used to quantify symmetry between eyes. MAIN OUTCOME MEASURES: Fundus crystal area and count, and absent-autofluorescence (absent-AF) area. RESULTS: Median participant age was 48 years (interquartile range: 40-60 years). Intereye symmetry was high for fundus crystal area (ρ = 1.00, 95% confidence interval [CI]: 1.00-1.00; ICC = 0.97, 95% CI: 0.88-0.99), fundus crystal count (ρ = 0.98, 95% CI: 0.92-1.00; ICC = 0.97, 95% CI: 0.89-0.99), and absent-AF area (ρ = 0.88, 95% CI: 0.53-0.98; ICC = 0.98, 95% CI: 0.90-0.99). Average foveal volume, foveal crystal count and area, average and central foveal thickness, best corrected visual acuity, and average macular and central foveal sensitivity were not highly correlated between eyes. CONCLUSIONS: This study demonstrated strong intereye symmetry measured by fundus crystal area, fundus crystal number, and absent-AF area. This may influence the choice of outcome measures for future therapeutic trials for BCD and provides valuable clinical information for ophthalmologists involved in the care and counseling of patients with BCD.

The association of neutrophil-lymphocyte ratio and platelet-lymphocyte ratio with retinal vein occlusion: a systematic review and meta-analysis.

The neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) are emerging haematological inflammatory biomarkers. However, their significance in retinal vein occlusion (RVO) and its subtypes, branch and central RVO (BRVO and CRVO, respectively), is uncertain. This systematic review and meta-analysis aimed to clarify the association of NLR and PLR with RVO. We searched MEDLINE (Ovid), EMBASE (Ovid) and the Cochrane Library for studies investigating the association of NLR and PLR with RVO from inception to 2 December 2020. We used random-effects inverse-variance modelling to generate pooled effect measures. We used bivariate Bayesian modelling to meta-analyse the ability of NLR and PLR to differ between individuals with and without RVO and performed meta-regression and sensitivity analyses to explore inter-study heterogeneity. Eight studies published encompassing 1059 patients were included for analysis. Both NLR and PLR were significantly elevated in RVO, with pooled mean differences of 0.63 (95% confidence interval (CI) 0.31-0.95) and 21.49 (95% CI 10.03-32.95), respectively. The pooled sensitivity, specificity and area under the Bayesian summary receiver operating characteristic curve were, respectively, 0.629 (95% credible interval (CrI) 0.284-0.872), 0.731 (95% CrI 0.373-0.934) and 0.688 (95% CrI 0.358-0.872) for NLR; and 0.645 (95% CrI 0.456-0.779), 0.616 (95% CrI 0.428-0.761) and 0.621 (95% CrI 0.452-0.741) for PLR. Mean and variability of age and diabetes mellitus prevalence partially explained between-study heterogeneity. NLR and PLR are significantly elevated in RVO. Future research is needed to investigate the potential prognostic value and independence of these findings.

Progression of Geographic Atrophy: Epistemic Uncertainties Affecting Mathematical Models and Machine Learning.

Purpose: The purpose of this study was to identify a taxonomy of epistemic uncertainties that affect results for geographic atrophy (GA) assessment and progression. Methods: An important source of variability is called "epistemic uncertainty," which is due to incomplete system knowledge (i.e. limitations in measurement devices, artifacts, and human subjective evaluation, including annotation errors). In this study, different epistemic uncertainties affecting the analysis of GA were identified and organized into a taxonomy. The uncertainties were discussed and analyzed, and an example was provided in the case of model structure uncertainty by characterizing progression of GA by mathematical modelling and machine learning. It was hypothesized that GA growth follows a logistic (sigmoidal) function. Using case studies, the GA growth data were used to test the sigmoidal hypothesis. Results: Epistemic uncertainties were identified, including measurement error (imperfect outcomes from measuring tools), subjective judgment (grading affected by grader's vision and experience), model input uncertainties (data corruption or entry errors), and model structure uncertainties (elucidating the right progression pattern). Using GA growth data from case studies, it was demonstrated that GA growth can be represented by a sigmoidal function, where growth eventually approaches an upper limit. Conclusion: Epistemic uncertainties contribute to errors in study results and are reducible if identified and addressed. By prior identification of epistemic uncertainties, it is possible to (a) quantify uncertainty not accounted for by natural statistical variability, and (b) reduce the presence of these uncertainties in future studies. Translational Relevance: Lowering epistemic uncertainty will reduce experimental error, improve consistency and reproducibility, and increase confidence in diagnostics.

Assessment of Nutritional Status and Nutrition Impact Symptoms in Patients Undergoing Resection for Upper Gastrointestinal Cancer: Results from the Multi-Centre NOURISH Point Prevalence Study.

BACKGROUND: Identification and treatment of malnutrition are essential in upper gastrointestinal (UGI) cancer. However, there is limited understanding of the nutritional status of UGI cancer patients at the time of curative surgery. This prospective point prevalence study involving 27 Australian tertiary hospitals investigated nutritional status at the time of curative UGI cancer resection, as well as presence of preoperative nutrition impact symptoms, and associations with length of stay (LOS) and surgical complications. METHODS: Subjective global assessment, hand grip strength (HGS) and weight were performed within 7 days of admission. Data on preoperative weight changes, nutrition impact symptoms, and dietary intake were collected using a purpose-built data collection tool. Surgical LOS and complications were also recorded. Multivariate regression models were developed for nutritional status, unintentional weight loss, LOS and complications. RESULTS: This study included 200 patients undergoing oesophageal, gastric and pancreatic surgery. Malnutrition prevalence was 42% (95% confidence interval (CI) 35%, 49%), 49% lost ≥5% weight in 6 months, and 47% of those who completed HGS assessment had low muscle strength with no differences between surgical procedures (p = 0.864, p = 0.943, p = 0.075, respectively). The overall prevalence of reporting at least one preoperative nutrition impact symptom was 55%, with poor appetite (37%) and early satiety (23%) the most frequently reported. Age (odds ratio (OR) 4.1, 95% CI 1.5, 11.5, p = 0.008), unintentional weight loss of ≥5% in 6 months (OR 28.7, 95% CI 10.5, 78.6, p < 0.001), vomiting (OR 17.1, 95% CI 1.4, 207.8, 0.025), reduced food intake lasting 2-4 weeks (OR 7.4, 95% CI 1.3, 43.5, p = 0.026) and ≥1 month (OR 7.7, 95% CI 2.7, 22.0, p < 0.001) were independently associated with preoperative malnutrition. Factors independently associated with unintentional weight loss were poor appetite (OR 3.7, 95% CI 1.6, 8.4, p = 0.002) and degree of solid food reduction of <75% (OR 3.3, 95% CI 1.2, 9.2, p = 0.02) and <50% (OR 4.9, 95% CI 1.5, 15.6, p = 0.008) of usual intake. Malnutrition (regression coefficient 3.6, 95% CI 0.1, 7.2, p = 0.048) and unintentional weight loss (regression coefficient 4.1, 95% CI 0.5, 7.6, p = 0.026) were independently associated with LOS, but no associations were found for complications. CONCLUSIONS: Despite increasing recognition of the importance of preoperative nutritional intervention, a high proportion of patients present with malnutrition or clinically significant weight loss, which are associated with increased LOS. Factors associated with malnutrition and weight loss should be incorporated into routine preoperative screening. Further investigation is required of current practice for dietetics interventions received prior to UGI surgery and if this mitigates the impact on clinical outcomes.

Preoperative Nutrition Intervention in Patients Undergoing Resection for Upper Gastrointestinal Cancer: Results from the Multi-Centre NOURISH Point Prevalence Study.

BACKGROUND: Preoperative nutrition intervention is recommended prior to upper gastrointestinal (UGI) cancer resection; however, there is limited understanding of interventions received in current clinical practice. This study investigated type and frequency of preoperative dietetics intervention and nutrition support received and clinical and demographic factors associated with receipt of intervention. Associations between intervention and preoperative weight loss, surgical length of stay (LOS), and complications were also investigated. METHODS: The NOURISH Point Prevalence Study was conducted between September 2019 and May 2020 across 27 Australian tertiary centres. Subjective global assessment and weight were performed within 7 days of admission. Patients reported on preoperative dietetics and nutrition intervention, and surgical LOS and complications were recorded. RESULTS: Two-hundred patients participated (59% male, mean (standard deviation) age 67 (10)). Sixty percent had seen a dietitian preoperatively, whilst 50% were receiving nutrition support (92% oral nutrition support (ONS)). Patients undergoing pancreatic surgery were less likely to receive dietetics intervention and nutrition support than oesophageal or gastric surgeries (p < 0.001 and p = 0.029, respectively). Neoadjuvant therapy (p = 0.003) and malnutrition (p = 0.046) remained independently associated with receiving dietetics intervention; however, 31.3% of malnourished patients had not seen a dietitian. Patients who received ≥3 dietetics appointments had lower mean (SD) percentage weight loss at the 1-month preoperative timeframe compared with patients who received 0-2 appointments (1.2 (2.0) vs. 3.1 (3.3), p = 0.001). Patients who received ONS for >2 weeks had lower mean (SD) percentage weight loss than those who did not (1.2 (1.8) vs. 2.9 (3.4), p = 0.001). In malnourished patients, total dietetics appointments ≥3 was independently associated with reduced surgical complications (odds ratio 0.2, 95% confidence interval (CI) 0.1, 0.9, p = 0.04), and ONS >2 weeks was associated with reduced LOS (regression coefficient -7.3, 95% CI -14.3, -0.3, p = 0.04). CONCLUSIONS: Despite recommendations, there are low rates of preoperative dietetics consultation and nutrition support in this population, which are associated with increased preoperative weight loss and risk of increased LOS and complications in malnourished patients. The results of this study provide insights into evidence-practice gaps for improvement and data to support further research regarding optimal methods of preoperative nutrition support.

Deep Learning Applied to Automated Segmentation of Geographic Atrophy in Fundus Autofluorescence Images.

Purpose: This study describes the development of a deep learning algorithm based on the U-Net architecture for automated segmentation of geographic atrophy (GA) lesions in fundus autofluorescence (FAF) images. Methods: Image preprocessing and normalization by modified adaptive histogram equalization were used for image standardization to improve effectiveness of deep learning. A U-Net-based deep learning algorithm was developed and trained and tested by fivefold cross-validation using FAF images from clinical datasets. The following metrics were used for evaluating the performance for lesion segmentation in GA: dice similarity coefficient (DSC), DSC loss, sensitivity, specificity, mean absolute error (MAE), accuracy, recall, and precision. Results: In total, 702 FAF images from 51 patients were analyzed. After fivefold cross-validation for lesion segmentation, the average training and validation scores were found for the most important metric, DSC (0.9874 and 0.9779), for accuracy (0.9912 and 0.9815), for sensitivity (0.9955 and 0.9928), and for specificity (0.8686 and 0.7261). Scores for testing were all similar to the validation scores. The algorithm segmented GA lesions six times more quickly than human performance. Conclusions: The deep learning algorithm can be implemented using clinical data with a very high level of performance for lesion segmentation. Automation of diagnostics for GA assessment has the potential to provide savings with respect to patient visit duration, operational cost and measurement reliability in routine GA assessments. Translational Relevance: A deep learning algorithm based on the U-Net architecture and image preprocessing appears to be suitable for automated segmentation of GA lesions on clinical data, producing fast and accurate results.

Model Structure Uncertainty in the Characterization and Growth of Geographic Atrophy.

Purpose: To identify the most suitable model for assessing the rate of growth of total geographic atrophy (GA) by analysis of model structure uncertainty. Methods: Model structure uncertainty refers to unexplained variability arising from the choice of mathematical model and represents an example of epistemic uncertainty. In this study, we quantified this uncertainty to help identify a model most representative of GA progression. Fundus autofluorescence (FAF) images and GA progression data (i.e., total GA area estimation at each presentation) were acquired using Spectralis HRA+OCT instrumentation and RegionFinder software. Six regression models were evaluated. Models were compared using various statistical tests, [i.e., coefficient of determination (r2), uncertainty metric (U), and test of significance for the correlation coefficient, r], as well as adherence to expected physical and clinical assumptions of GA growth. Results: Analysis was carried out for 81 GA-affected eyes, 531 FAF images (range: 3-17 images per eye), over median of 57 months (IQR: 42, 74), with a mean baseline lesion size of 2.62 ± 4.49 mm2 (range: 0.11-20.69 mm2). The linear model proved to be the most representative of total GA growth, with lowest average uncertainty (original scale: U = 0.025, square root scale: U = 0.014), high average r2 (original scale: 0.92, square root scale: 0.93), and applicability of the model was supported by a high correlation coefficient, r, with statistical significance (P = 0.01). Conclusions: Statistical analysis of uncertainty suggests that the linear model provides an effective and practical representation of the rate and progression of total GA growth based on data from patient presentations in clinical settings. Translational Relevance: Identification of correct model structure to characterize rate of growth of total GA in the retina using FAF images provides an objective metric for comparing interventions and charting GA progression in clinical presentations.

Positive lateral pelvic lymph nodes in low rectal cancer: should we change our practice now?

BACKGROUND: The role of lateral lymph node dissection (LLND) in the treatment of patients with low rectal cancer with enlarged lateral lymph nodes (LLN+) is under investigation. Enthusiasm for LLND stems from a perceived reduction in local recurrence (LR). We aimed to compare the LR rate for LLN+ patients with LLN- patients, treated with neoadjuvant chemoradiotherapy (nCRT) and surgery, in a hospital that does not perform LLND. METHODS: A retrospective study of all patients with clinical stage 3 low rectal cancer who completed nCRT and surgery between 2008 and 2017 at Western Health was performed. Outcomes for LLN+ patients were compared with LLN- patients. The primary outcome was LR. Secondary outcomes included distant metastases, disease-free survival and overall survival. RESULTS: There were 110 patients treated for stage 3 low rectal cancer over 10 years. There was no significant difference in the LR rate, with one LR from 28 LLN+ patients and one LR from 82 LLN- patients (4% versus 1.2%, P = 0.44). There were no significant differences in median disease-free survival (41 versus 52 months, P = 0.19) or mean overall survival (62 versus 60 months, P = 0.80). Of all patients studied, 21% developed distant metastases. CONCLUSION: LR after nCRT and surgery in patients with stage 3 rectal cancer is rare, irrespective of lateral pelvic node status. These data, along with the uncertain benefit and known risks of LLND, supports the continued use of standard therapy in these patients. Strategies to address distant failure in these patients should be explored.

Artificial Intelligence and Telehealth may Provide Early Warning of Epidemics.

The COVID-19 pandemic produced a very sudden and serious impact on public health around the world, greatly adding to the burden of overloaded professionals and national medical systems. Recent medical research has demonstrated the value of using online systems to predict emerging spatial distributions of transmittable diseases. Concerned internet users often resort to online sources in an effort to explain their medical symptoms. This raises the prospect that incidence of COVID-19 may be tracked online by search queries and social media posts analyzed by advanced methods in data science, such as Artificial Intelligence. Online queries can provide early warning of an impending epidemic, which is valuable information needed to support planning timely interventions. Identification of the location of clusters geographically helps to support containment measures by providing information for decision-making and modeling.

Artificial Intelligence Algorithms for Analysis of Geographic Atrophy: A Review and Evaluation.

Purpose: The purpose of this study was to summarize and evaluate artificial intelligence (AI) algorithms used in geographic atrophy (GA) diagnostic processes (e.g. isolating lesions or disease progression). Methods: The search strategy and selection of publications were both conducted in accordance with the Preferred of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed and Web of Science were used to extract literary data. The algorithms were summarized by objective, performance, and scope of coverage of GA diagnosis (e.g. lesion automation and GA progression). Results: Twenty-seven studies were identified for this review. A total of 18 publications focused on lesion segmentation only, 2 were designed to detect and classify GA, 2 were designed to predict future overall GA progression, 3 focused on prediction of future spatial GA progression, and 2 focused on prediction of visual function in GA. GA-related algorithms reported sensitivities from 0.47 to 0.98, specificities from 0.73 to 0.99, accuracies from 0.42 to 0.995, and Dice coefficients from 0.66 to 0.89. Conclusions: Current GA-AI publications have a predominant focus on lesion segmentation and a minor focus on classification and progression analysis. AI could be applied to other facets of GA diagnoses, such as understanding the role of hyperfluorescent areas in GA. Using AI for GA has several advantages, including improved diagnostic accuracy and faster processing speeds. Translational Relevance: AI can be used to quantify GA lesions and therefore allows one to impute visual function and quality-of-life. However, there is a need for the development of reliable and objective models and software to predict the rate of GA progression and to quantify improvements due to interventions.

Examining the Impact of Corneal Tissue Transnational Activity, and Transplantation, on Import and Export Nations: A Review of the Literature.

PURPOSE: Globally, an estimated 12.7 million people await a corneal transplant. Of these, 53% are without routine access to a domestic supply and are reliant on transnational activity (TNA) (importation) of corneal tissue (CT) for transplantation. Although CT TNA commenced in 1961, there has been no evaluation of its impact on import and export nations. METHODS: We wished to examine the impact of clinical and nonclinical CT TNA on export and import nations, with nonclinical aspects our primary focus, to help guide future practice. We conducted a review of the academic literature through various search engines. We prefix and place our review in the relevant historical practice and global context. RESULTS: Despite commencement in 1961, we only located 14 studies (11 clinical and 3 nonclinical) pertaining to CT TNA. These were published between 1991 and 2018. Clinical papers reported death-to-preservation time, preservation-to-transplantation time, logistics, donor and recipient selection, and quality as relevant. Nonclinical studies identified emerging themes pertaining to financial, ethical, and sustainability aspects of TNA. CONCLUSIONS: All aspects of CT TNA are grossly under-reported, resulting in our inability to effectively analyze the overall impact to export and import nations. The few clinical studies in our review concluded that despite endothelial cell loss and other risk factors, imported CT appears comparable with domestic CT and remains an option in the absence of domestic supply. Nonclinical aspects (eg, ethical, equitable, and economic) have also not been adequately addressed.

Changing vision: a review of pharmacogenetic studies for treatment response in age-related macular degeneration patients.

Nonresponsiveness to age-related macular degeneration (AMD) treatments has become a growing concern in ophthalmology. Disparity among publications that have assessed pharmacogenetic (PGx) connections between AMD disease genes and treatments has delayed the implementation of PGx testing in AMD. We assessed all AMD PGx publications to identify the degree of agreement for publications within similar ethnic cohorts and worldwide, and the causes for differences in study outcomes. There are no accepted genotype-phenotype correlations, either within similar ethnic cohorts or worldwide. The diversity of measured outcomes, treatment protocols and statistical methods used may be causing this discrepancy. A universally accepted treatment protocol and the creation of agreed response group classification may bridge the gap between AMD PGx publications.