Patient Harm Due to Diagnostic Error of Neuro-Ophthalmologic Conditions

The Use Of Fundus Photography In The Emergency Room-A Review

PURPOSE OF REVIEW

The ocular fundus reveals a wealth of pathophysiological findings which should change patient management in the emergency room (ER). Traditional fundoscopy has been technically challenging and diagnostically inaccurate, but technological advances in non-mydriatic fundus photography (NMFP) have facilitated clinically meaningful fundoscopy. This review presents an update on the literature regarding NMFP and its application to the ER, illustrating pivotal publications and recent advances within this field.

RECENT FINDINGS

NMFP's application in the ER is demonstrably feasible and seamlessly integrates into emergency physicians' (EP) diagnostic workflows in a clinically meaningful and time efficient manner. The images of the ocular fundus (OF) generated by NMFP are consistently high quality, allowing a greater diagnostic accuracy to EP and ophthalmology interpreters alike. Digital NMFP images facilitate effective ophthalmology input via telemedicine to review the images in the ER. NMFP has been shown to change management decisions in the ER, improving patient and departmental outcomes. Interpretation of fundus images remains a medical education challenge, and early research highlights the potential for artificial intelligence (AI) image systems of NMFP to augment image interpretation in the ER. NMFP can change the ER approach to OF assessment, however the factors limiting its routine implementation need further consideration. There is potential for AI to contribute to NMFP image screening systems to augment EPs diagnostic accuracy.

Semaglutide and Nonarteritic Anterior Ischemic Optic Neuropathy

Importance

Semaglutide, a glucagonlike peptide-1 receptor agonist (GLP-1RA), has recently been implicated in cases of nonarteritic anterior ischemic optic neuropathy (NAION), raising safety concerns in the treatment of type 2 diabetes (T2D).

Objective

To investigate the potential association between semaglutide and NAION in the Observational Health Data Sciences and Informatics (OHDSI) network.

Design, Setting, and Participants

This was a retrospective study across 14 databases (6 administrative claims and 8 electronic health records). Included were adults with T2D taking semaglutide, other GLP-1RA (dulaglutide, exenatide), or non-GLP-1RA medications (empagliflozin, sitagliptin, glipizide) from December 1, 2017, to December 31, 2023. The incidence proportion and rate of NAION were calculated. Association between semaglutide and NAION was assessed using 2 approaches: an active-comparator cohort design comparing new users of semaglutide with those taking other GLP-1RAs and non-GLP-1RA drugs, and a self-controlled case-series (SCCS) analysis to compare individuals' risks during exposure and nonexposure periods for each drug. The cohort design used propensity score-adjusted Cox proportional hazards models to estimate hazard ratios (HRs). The SCCS used conditional Poisson regression models to estimate incidence rate ratios (IRRs). Network-wide HR and IRR estimates were generated using a random-effects meta-analysis model.

Exposures

GLP-1RA and non-GLP-1RAs.

Main Outcomes and Measures

NAION under 2 alternative definitions based on diagnosis codes: one more inclusive and sensitive, the other more restrictive and specific.

Results

The study included 37.1 million individuals with T2D, including 810 390 new semaglutide users. Of the 43 620 new users of semaglutide in the Optum's deidentified Clinformatics Data Mart Database, 24 473 (56%) were aged 50 to 69 years, and 26 699 (61%) were female. The incidence rate of NAION was 14.5 per 100 000 person-years among semaglutide users. The HR for NAION among new users of semaglutide was not different compared with that of the non-GLP-1RAs using the sensitive NAION definition-empagliflozin (HR, 1.44; 95% CI, 0.78-2.68; P = .12), sitagliptin (HR, 1.30; 95% CI, 0.56-3.01; P = .27), and glipizide (HR, 1.23; 95% CI, 0.66-2.28; P = .25). The risk was higher only compared with patients taking empagliflozin (HR, 2.27; 95% CI, 1.16-4.46; P = .02) using the specific definition. SCCS analysis of semaglutide exposure showed an increased risk of NAION (meta-analysis IRR, 1.32; 95% CI, 1.14-1.54; P < .001).

Conclusions and Relevance

Results of this study suggest a modest increase in the risk of NAION among individuals with T2D associated with semaglutide use, smaller than that previously reported, and warranting further investigation into the clinical implications of this association.

Use of a smartphone-based, non-mydriatic fundus camera for patients with red flag ophthalmic presentations in a rural general practice

Introduction Fundus examination by direct ophthalmoscopy is widely used in general practice; however, it offers limited field of view, requires close approximation to the patient, has a steep learning curve and is a difficult skill to master and maintain. Non-mydriatic fundus photography (NMFP) offers an alternative with a wider field of view, ability for image analysis and transmission, and is able to be conducted by allied healthcare staff. Aim This study aimed to compare the use of direct ophthalmoscopy with smart-phone NMFP in a large rural general practice. It also aimed to analyse the number of adequate views and positive findings achieved with each instrument and the impact of NMFP on ophthalmology referral decisions. Methods Patients aged ≥16 years presenting to Dargaville Medical Centre (Dargaville, New Zealand) with visual disturbance, headache, hypertensive urgency (systolic blood pressure (BP) >200 mmHg or diastolic BP >120 mmHg), transient ischemic attack (TIA) or stroke were enrolled prospectively into an observational study of visualisation, diagnosis and management impact for a 1-year period (n = 152, 304 eyes). Direct ophthalmoscopy findings and management plans were documented by the attending general practitioner (GP), and then again following assessment of the NMFP. Results NMFP significantly improved visualisation of the fundal structures with an increase in adequate views achieved of both the optic disc and the retina. Inter-rater agreement between the referring GP and ophthalmologist was good. Discussion The use of NMFP in general practice might result in greater accuracy in diagnosing retina and optic disc disease. Routine transmission of NMFP images to specialist eye clinics as part of the referral might improve management and result in health system efficiencies.

Breaking the barriers: Methodology of implementation of a non-mydriatic ocular fundus camera in an emergency department

Despite evidence that non-mydriatic fundus cameras are beneficial in non-ophthalmic settings, they are only available in a minority of hospitals in the US. The lag from research-based evidence to change in clinical practice highlights the complexities of implementation of new technology and practice. We describe the steps used to implement successfully a non-mydriatic ocular fundus camera combined with optical coherence tomography (OCT) in a general emergency department (ED) using Kotter's 8-Step Change Model. We prospectively collected the number of trained personnel in the ED, the number of imaging studies obtained each week during the first year following implementation, and we documented major achievements each month, as well as outcome measures, barriers to implementation and possible solutions. Between 12 and 42 patients were imaged per week, resulting in a total of 1274 patients imaged demonstrating sustained usage of non-mydriatic fundus camera/OCT in the ED one year after implementation. The implementation process was contingent upon multidisciplinary collaboration, extensive communication, coordinated training of staff, and continuous motivation. The future will likely include the use of artificial intelligence deep learning systems for automated interpretation of ocular imaging as an immediate diagnostic aid for ED or other non-eye care providers.

Implications of Diagnostic Error in Ocular Surface Disease: The Role of Anchoring and Ambiguous Diagnostic Terminology

This Viewpoint addresses the high rate of incorrect ophthalmological diagnoses and harm experienced by patients and examines causes.

The Increasing Burden of Emergency Department and Inpatient Consultations for "Papilledema"

BACKGROUND

Increasing incidence of idiopathic intracranial hypertension (IIH), overreported radiologic signs of intracranial hypertension, difficult access to outpatient neuro-ophthalmology services, poor insurance coverage, and medicolegal concerns have lowered the threshold for emergency department (ED) visits for "papilledema." Our objective was to examine referral patterns and outcomes of neuro-ophthalmology ED and inpatient consultations for concern for papilledema.

METHODS

At one university-based quaternary care center, all adults referred for "papilledema" over one year underwent a standardized ED "papilledema protocol." We collected patient demographics, final diagnoses, and referral patterns.

RESULTS

Over 1 year, 153 consecutive patients were referred for concern for papilledema. After papilledema protocol, 89 of 153 patients (58%) had bilateral optic disc edema, among whom 89% (79/89) had papilledema (intracranial hypertension). Of the 38 of 153 (25%) consultations for suspected disorder of intracranial pressure without previous fundus examination (Group 1), 74% (28/38) did not have optic disc edema, 21% (8/38) had papilledema, and 5% (2/38) had other causes of bilateral disc edema. Of the 89 of 153 (58%) consultations for presumed papilledema seen on fundus examination (Group 2), 58% (66/89) had confirmed papilledema, 17% (15/89) had pseudopapilledema, and 9% (8/89) had other causes of bilateral optic disc edema. Of the 26 of 153 (17%) patients with known IIH (Group 3), 5 had papilledema and 4 required urgent intervention. The most common diagnosis was IIH (58/79). Compared with IIH, patients with secondary causes of intracranial hypertension were older ( P = 0.002), men ( P < 0.001), not obese ( P < 0.001), and more likely to have neurologic symptoms ( P = 0.002).

CONCLUSIONS

Inpatient and ED consultations for "papilledema" are increasing. Of the 153 ED and inpatient neuro-ophthalmology consultations seen for "papilledema" over 1 year, one-third of patients with optic disc edema of unknown cause before presentation to our ED had new vision- or life-threatening disease, supporting the need for prompt identification and evaluation of optic disc edema in the ED. In the face of limited access to neuro-ophthalmologists, this study supports the need for emergency department access to expert eye-care evaluation or ocular fundus camera for prompt identification of optic disc edema and standardized evaluation for neurologic emergencies.

ChatGPT Assisting Diagnosis of Neuro-Ophthalmology Diseases Based on Case Reports

BACKGROUND

To evaluate the accuracy of Chat Generative Pre-Trained Transformer (ChatGPT), a large language model (LLM), to assist in diagnosing neuro-ophthalmic diseases based on case reports.

METHODS

We selected 22 different case reports of neuro-ophthalmic diseases from a publicly available online database. These cases included a wide range of chronic and acute diseases commonly seen by neuro-ophthalmic subspecialists. We inserted each case as a new prompt into ChatGPTs (GPT-3.5 and GPT-4) and asked for the most probable diagnosis. We then presented the exact information to 2 neuro-ophthalmologists and recorded their diagnoses, followed by comparing responses from both versions of ChatGPT.

RESULTS

GPT-3.5 and GPT-4 and the 2 neuro-ophthalmologists were correct in 13 (59%), 18 (82%), 19 (86%), and 19 (86%) out of 22 cases, respectively. The agreements between the various diagnostic sources were as follows: GPT-3.5 and GPT-4, 13 (59%); GPT-3.5 and the first neuro-ophthalmologist, 12 (55%); GPT-3.5 and the second neuro-ophthalmologist, 12 (55%); GPT-4 and the first neuro-ophthalmologist, 17 (77%); GPT-4 and the second neuro-ophthalmologist, 16 (73%); and first and second neuro-ophthalmologists 17 (77%).

CONCLUSIONS

The accuracy of GPT-3.5 and GPT-4 in diagnosing patients with neuro-ophthalmic diseases was 59% and 82%, respectively. With further development, GPT-4 may have the potential to be used in clinical care settings to assist clinicians in providing quick, accurate diagnoses of patients in neuro-ophthalmology. The applicability of using LLMs like ChatGPT in clinical settings that lack access to subspeciality trained neuro-ophthalmologists deserves further research.

Maculopathies Referred to Neuro-Ophthalmology Clinic as Optic Neuropathies: A Case Series

BACKGROUND

The clinical features of maculopathies and optic neuropathies often overlap: Both present with decreased visual acuity and variable loss of color vision; thus, maculopathy can be misdiagnosed as optic neuropathy, leading to patient harm. We aimed to determine what findings and/or tests were most helpful in differentiating between optic neuropathy and maculopathy.

METHODS

A retrospective chart review of consecutive patients over 4.5 years who were referred to neuro-ophthalmology clinics with the diagnosis of optic neuropathy but whose final diagnosis was maculopathy. Patient demographics, mode of presentation, clinical profile, complete ophthalmological examination, results of all ancillary testing, and final diagnosis were recorded.

RESULTS

A total of 47 patients (27 women) were included. The median age was 55 years (range, 18-85). Most referrals were by ophthalmologists (72.3%) and optometrists (12.8%). The diagnosis of maculopathy was made in 51.1% of patients at the time of first neuro-ophthalmic consultation. Only 6.4% patients (3) had relative afferent pupillary defect. Benign disc anomalies (tilted, myopic, small, or anomalous discs) were present in 34.0%, and 21.3% had pathologic disc changes unrelated or secondary to maculopathy. Macular ocular coherence tomography (OCT) was abnormal in 84.4% (with outer retinal pathology in 42.2% and inner retina pathology in 17.8%). Retinal nerve fiber layer (RNFL) thickness was normal in 82.6% of patients.

CONCLUSIONS

Macular OCT is a high-yield test in differentiating between optic neuropathy and maculopathy and should be obtained in patients with suspected optic neuropathies who have normal RNFL thickness. Macular dystrophies, particularly cone dystrophies, unspecified retinal disorders, and macular degeneration were the most common mimics of optic neuropathy. The diagnosis was often present on OCT of the macula. The presence of coexistent benign and pathological disc anomalies may lead to maculopathy being misdiagnosed as optic neuropathy.

How far should I manage acute optic neuritis as an ophthalmologist? A United Kingdom perspective

Optic neuritis (ON) is an inflammation of or around the optic nerve, frequently caused by infectious or immune-mediated inflammatory disorders. In the UK, its strongest association is with Multiple Sclerosis (MS), though the combined prevalence of other associated infectious and immune-mediated inflammatory diseases (I-IMID) is similar to that of MS-ON. Prompt identification and understanding of ON's underlying cause informs tailored management and prognosis. Several IMIDs linked to ON, such as aquaporin-4 antibody-associated optic neuritis (AQP4-ON), myelin oligodendrocyte glycoprotein antibody-associated optic neuritis (MOG-ON), and neuro-sarcoidosis, show remarkable response to corticosteroid treatment. Therefore, urgent investigation and treatment are crucial in cases 'atypical' for MS-ON. Following the 1992 Optic Neuritis Treatment Trial, clinical practice has evolved, with short-course high-dose corticosteroids considered safe and effective for most people. Timely recognition of patients who could benefit is critical to avoid irreversible vision loss. This review provides a practical guide and a summary of evidence on the investigation and management of acute optic neuritis. It reflects the knowledge and limitations of current evidence, framed through the neuro-ophthalmic perspective of clinical practice at multiple UK academic centres.

Acute-Onset Blindness in a Patient Diagnosed With Myelin Oligodendrocyte Glycoprotein Antibody Disease (MOG-AD): A Case Report

Myelin oligodendrocyte glycoprotein antibody disease (MOG-AD) poses a diagnostic challenge, often masquerading as other neurological disorders such as multiple sclerosis and aquaporin-4-positive neuromyelitis optica spectrum disorder. The deceptive clinical similarities demand a nuanced approach to differentiate these conditions effectively. This entails an extensive evaluation encompassing a meticulous medical history, advanced magnetic resonance imaging (MRI), cerebrospinal fluid analysis, and serum studies. In this context, we present a compelling case involving a 28-year-old Hispanic female with a history of migraine headache. She sought medical attention due to acute peripheral vision loss, ultimately diagnosed as MOG-AD through a comprehensive clinical assessment coupled with specific diagnostic tests. This case underscores the critical importance of precision in diagnostic procedures to ensure accurate identification and subsequent tailored treatment for MOG-AD, avoiding potential pitfalls associated with its resemblance to other neurological disorders.

Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department

PURPOSE

The Fundus photography vs Ophthalmoscopy Trial Outcomes in the Emergency Department (FOTO-ED) studies showed that ED providers poorly recognized funduscopic findings in patients in the ED. We tested a modified version of the Brain and Optic Nerve Study Artificial Intelligence (BONSAI) deep learning system on nonmydriatic fundus photographs from the FOTO-ED studies to determine if the deep learning system could have improved the detection of papilledema had it been available to ED providers as a real-time diagnostic aid.

DESIGN

Retrospective secondary analysis of a cohort of patients included in the FOTO-ED studies.

METHODS

The testing data set included 1608 photographs obtained from 828 patients in the FOTO-ED studies. Photographs were reclassified according to the optic disc classification system used by the deep learning system ("normal optic discs," "papilledema," and "other optic disc abnormalities"). The system's performance was evaluated by calculating the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity using a 1-vs-rest strategy, with reference to expert neuro-ophthalmologists.

RESULTS

The BONSAI deep learning system successfully distinguished normal from abnormal optic discs (AUC 0.92 [95% confidence interval {CI} 0.90-0.93]; sensitivity 75.6% [73.7%-77.5%] and specificity 89.6% [86.3%-92.8%]), and papilledema from normal and others (AUC 0.97 [0.95-0.99]; sensitivity 84.0% [75.0%-92.6%] and specificity 98.9% [98.5%-99.4%]). Six patients with missed papilledema in 1 eye were correctly identified by the deep learning system as having papilledema in the other eye.

CONCLUSIONS

The BONSAI deep learning system was able to reliably identify papilledema and normal optic discs on nonmydriatic photographs obtained in the FOTO-ED studies. Our deep learning system has excellent potential as a diagnostic aid in EDs and non-ophthalmology clinics equipped with nonmydriatic fundus cameras. NOTE: Publication of this article is sponsored by the American Ophthalmological Society.

Impact of COVID-19 on Neuro-Ophthalmology in the United States: A National Survey

PURPOSE

To evaluate the impacts of the COVID-19 on neuro-ophthalmology practice in the United States.

DESIGN

Cross-sectional study.

METHODS

The North American Neuro-ophthalmology Society distributed a survey on the impact of COVID-19 on neuro-ophthalmic practice to its members. The survey consisted of 15 questions regarding the impact of the pandemic on neuro-ophthalmic practice and perspectives.

RESULTS

Twenty-eight neuro-ophthalmologists practicing in the United States responded to our survey. In this survey, 64% of survey respondents were male (n = 18), while 36% were female (n = 10). The average age of a respondent was 55 years old. According to 77% of survey respondents, various neuro-ophthalmic diseases were reported to have worsened during the pandemic including idiopathic intracranial hypertension, compressive optic neuropathy, optic neuritis, and giant cell arteritis.

CONCLUSIONS

This survey represents one of the largest studies to describe the impact of the COVID-19 pandemic of neuro-ophthalmology. Given the underrepresentation of neuro-ophthalmology in the United States as described in the literature, this study strengthens the need for more neuro-ophthalmologists to provide timely care, particularly during the pandemic. Further interventions to incentivize the pursuit of neuro-ophthalmology training may help combat the effects of COVID-19 on neuro-ophthalmic conditions.

RobOCTNet: Robotics and Deep Learning for Referable Posterior Segment Pathology Detection in an Emergency Department Population

Purpose

To evaluate the diagnostic performance of a robotically aligned optical coherence tomography (RAOCT) system coupled with a deep learning model in detecting referable posterior segment pathology in OCT images of emergency department patients.

Methods

A deep learning model, RobOCTNet, was trained and internally tested to classify OCT images as referable versus non-referable for ophthalmology consultation. For external testing, emergency department patients with signs or symptoms warranting evaluation of the posterior segment were imaged with RAOCT. RobOCTNet was used to classify the images. Model performance was evaluated against a reference standard based on clinical diagnosis and retina specialist OCT review.

Results

We included 90,250 OCT images for training and 1489 images for internal testing. RobOCTNet achieved an area under the curve (AUC) of 1.00 (95% confidence interval [CI], 0.99-1.00) for detection of referable posterior segment pathology in the internal test set. For external testing, RAOCT was used to image 72 eyes of 38 emergency department patients. In this set, RobOCTNet had an AUC of 0.91 (95% CI, 0.82-0.97), a sensitivity of 95% (95% CI, 87%-100%), and a specificity of 76% (95% CI, 62%-91%). The model's performance was comparable to two human experts' performance.

Conclusions

A robotically aligned OCT coupled with a deep learning model demonstrated high diagnostic performance in detecting referable posterior segment pathology in a cohort of emergency department patients.

Translational Relevance

Robotically aligned OCT coupled with a deep learning model may have the potential to improve emergency department patient triage for ophthalmology referral.

The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs

BACKGROUND

Pediatric papilledema often reflects an underlying severe neurologic disorder and may be difficult to appreciate, especially in young children. Ocular fundus photographs are easy to obtain even in young children and in nonophthalmology settings. The aim of our study was to ascertain whether an improved deep-learning system (DLS), previously validated in adults, can accurately identify papilledema and other optic disk abnormalities in children.

METHODS

The DLS was tested on mydriatic fundus photographs obtained in a multiethnic pediatric population (<17 years) from three centers (Atlanta-USA; Bucharest-Romania; Singapore). The DLS's multiclass classification accuracy (ie, normal optic disk, papilledema, disks with other abnormality) was calculated, and the DLS's performance to specifically detect papilledema and normal disks was evaluated in a one-vs-rest strategy using the AUC, sensitivity and specificity, with reference to expert neuro-ophthalmologists.

RESULTS

External testing was performed on 898 fundus photographs: 447 patients; mean age, 10.33 (231 patients ≤10 years of age; 216, 11-16 years); 558 normal disks, 254 papilledema, 86 other disk abnormalities. Overall multiclass accuracy of the DLS was 89.6% (range, 87.8%-91.6%). The DLS successfully distinguished "normal" from "abnormal" optic disks (AUC 0.99 [0.98-0.99]; sensitivity, 87.3% [84.9%-89.8%]; specificity, 98.5% [97.6%-99.6%]), and "papilledema" from "normal and other" (AUC 0.99 [0.98-1.0]; sensitivity, 98.0% [96.8%-99.4%]; specificity, 94.1% (92.4%-95.9%)].

CONCLUSIONS

Our DLS reliably distinguished papilledema from normal optic disks and other disk abnormalities in children, suggesting it could be utilized as a diagnostic aid for the assessment of optic nerve head appearance in the pediatric age group.

Inappropriate Indexing of Case Reports to the "Papilledema" Subject Heading: A Systematic Review

BACKGROUND

Papilledema must be managed distinctly from other causes of optic disc edema (ODE) due to its basis in raised intracranial pressure (ICP). However, evidence indicates that the term "papilledema" is widely misused across specialties to describe ODE without raised ICP. Sources of this misconception remain undiscerned. Because all physicians consult medical databases, our objective was to evaluate whether nonspecific "papilledema" subject heading definitions misleadingly associate articles on other conditions with papilledema proper.

METHODS

Systematic review of case reports, prospectively registered on PROSPERO (CRD42022363651). MEDLINE and Embase were searched to July 2022 for any full-length case report indexed to the "papilledema" subject heading. Studies were graded for incorrect indexing, defined as cases lacking evidence for raised ICP. Nonpapilledema diagnoses were assigned to a predefined set of diseases and pathophysiological mechanisms for subsequent comparison.

RESULTS

Incorrect indexing occurred in 40.67% of 949 included reports. Embase-derived studies were misindexed significantly less than MEDLINE-derived studies ( P < 0.01). There was also significant heterogeneity in incorrect indexing among specific diseases ( P = 0.0015) and mechanisms ( P = 0.0003). The most commonly misindexed diseases were uveitis (21.24% of errors), optic neuritis (13.47%), and instances with no mention of ODE (13.99%). The most commonly misindexed mechanisms were inflammation (34.97%), other mechanism (e.g., genetic; 25.91%), and ischemia (20.47%).

CONCLUSIONS

Database subject headings, especially from MEDLINE, do not adequately distinguish between true papilledema and other causes of ODE. Inflammatory diseases were most often incorrectly indexed among other diseases and mechanisms. Current "papilledema" subject headings should be revised to reduce the probability of misinformation.

Neuro-ophthalmology Emergency Department and Inpatient Consultations at a Large Academic Referral Center

PURPOSE

Prompt neuro-ophthalmology consultation prevents diagnostic errors and improves patient outcomes. The scarcity of neuro-ophthalmologists means that the increasing outpatient demand cannot be met, prompting many emergency department (ED) referrals by non-neuro-ophthalmologists. We describe our quaternary care institution's ED and inpatient neuro-ophthalmology consultation patterns and patient outcomes.

DESIGN

Prospective observational study.

PARTICIPANTS

Consecutive neuro-ophthalmology ED and inpatient consultation requests over 1 year.

METHODS

We collected patient demographics, distance traveled, insurance status, referring provider details, consultation question, final diagnosis, complexity of consultation, time of consultation, and need for outpatient follow-up.

MAIN OUTCOME MEASURES

Consultation patterns and diagnoses, complexity, and follow-up.

RESULTS

Of 494 consecutive adult ED and inpatient neuro-ophthalmology consultations requested over 1 year, 241 of 494 consultations (49%) occurred at night or during weekends. Of ED consultations (322 of 494 [65%]), 127 of 322 consultations (39%) occurred during weekdays, 126 of 322 consultations (39%) occurred on weeknights, and 69 of 322 consultations (22%) occurred on weekends or holidays. Of 322 ED consultations, 225 of 322 consultations (70%) were patients who initially sought treatment in the ED with a neuro-ophthalmic chief symptom. Of the 196 patients sent to the ED by a health care professional, 148 patients (148/196 [76%]) were referred by eye care specialists (74 optometrists and 74 ophthalmologists). The most common ED referral questions were for papilledema (75 of 322 [23%]) and vision loss (72 of 322 [22%]). A total of 219 of 322 patients (68%) received a final active neuro-ophthalmic diagnosis, 222 of 322 patients (69%) were cases of high or very high complexity, and 143 of 322 patients (44%) required admission. Inpatient consultations (n = 172) were requested most frequently by hospitalists, including neurologists (71 of 172 [41%]) and oncologists (20 of 172 [12%]) for vision loss (43 of 172 [25%]) and eye movement disorders (36 of 172 [21%]) and by neurosurgeons (58 of 172 [33%]) for examination for mass or a preoperative evaluation (19 of 172 [11%]). An active neuro-ophthalmic diagnosis was confirmed in 67% of patients (116 of 172). Outpatient neuro-ophthalmology follow-up was required for 291 of 494 patients (59%).

CONCLUSIONS

Neuro-ophthalmology consultations are critical to the diagnosis and management in the hospital setting. In the face of a critical shortage of neuro-ophthalmologists, this study highlights the need for technological and diagnostic aids for greater outpatient access.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Diagnostic errors in uncommon conditions: a systematic review of case reports of diagnostic errors

OBJECTIVES

To assess the usefulness of case reports as sources for research on diagnostic errors in uncommon diseases and atypical presentations.

CONTENT

We reviewed 563 case reports of diagnostic error. The commonality of the final diagnoses was classified based on the description in the articles, Orphanet, or epidemiological data on available references; the typicality of presentation was classified based on the description in the articles and the judgment of the physician researchers. Diagnosis Error Evaluation and Research (DEER), Reliable Diagnosis Challenges (RDC), and Generic Diagnostic Pitfalls (GDP) taxonomies were used to assess the factors contributing to diagnostic errors.

SUMMARY AND OUTLOOK

Excluding three cases in that commonality could not be classified, 560 cases were classified into four categories: typical presentations of common diseases (60, 10.7 %), atypical presentations of common diseases (35, 6.2 %), typical presentations of uncommon diseases (276, 49.3 %), and atypical presentations of uncommon diseases (189, 33.8 %). The most important DEER taxonomy was "Failure/delay in considering the diagnosis" among the four categories, whereas the most important RDC and GDP taxonomies varied with the categories. Case reports can be a useful data source for research on the diagnostic errors of uncommon diseases with or without atypical presentations.

ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case Reports

Purpose

To evaluate the efficiency of large language models (LLMs) including ChatGPT to assist in diagnosing neuro-ophthalmic diseases based on case reports.

Design

Prospective study.

Subjects or Participants

We selected 22 different case reports of neuro-ophthalmic diseases from a publicly available online database. These cases included a wide range of chronic and acute diseases that are commonly seen by neuro-ophthalmic sub-specialists.

Methods

We inserted the text from each case as a new prompt into both ChatGPT v3.5 and ChatGPT Plus v4.0 and asked for the most probable diagnosis. We then presented the exact information to two neuro-ophthalmologists and recorded their diagnoses followed by comparison to responses from both versions of ChatGPT.

Main Outcome Measures

Diagnostic accuracy in terms of number of correctly diagnosed cases among diagnoses.

Results

ChatGPT v3.5, ChatGPT Plus v4.0, and the two neuro-ophthalmologists were correct in 13 (59%), 18 (82%), 19 (86%), and 19 (86%) out of 22 cases, respectively. The agreement between the various diagnostic sources were as follows: ChatGPT v3.5 and ChatGPT Plus v4.0, 13 (59%); ChatGPT v3.5 and the first neuro-ophthalmologist, 12 (55%); ChatGPT v3.5 and the second neuro-ophthalmologist, 12 (55%); ChatGPT Plus v4.0 and the first neuro-ophthalmologist, 17 (77%); ChatGPT Plus v4.0 and the second neuro-ophthalmologist, 16 (73%); and first and second neuro-ophthalmologists 17 (17%).

Conclusions

The accuracy of ChatGPT v3.5 and ChatGPT Plus v4.0 in diagnosing patients with neuro-ophthalmic diseases was 59% and 82%, respectively. With further development, ChatGPT Plus v4.0 may have potential to be used in clinical care settings to assist clinicians in providing quick, accurate diagnoses of patients in neuro-ophthalmology. The applicability of using LLMs like ChatGPT in clinical settings that lack access to subspeciality trained neuro-ophthalmologists deserves further research.

Deep learning system for distinguishing optic neuritis from non-arteritic anterior ischemic optic neuropathy at acute phase based on fundus photographs

Purpose

To develop a deep learning system to differentiate demyelinating optic neuritis (ON) and non-arteritic anterior ischemic optic neuropathy (NAION) with overlapping clinical profiles at the acute phase.

Methods

We developed a deep learning system (ONION) to distinguish ON from NAION at the acute phase. Color fundus photographs (CFPs) from 871 eyes of 547 patients were included, including 396 ON from 232 patients and 475 NAION from 315 patients. Efficientnet-B0 was used to train the model, and the performance was measured by calculating the sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). Also, Cohen's kappa coefficients were obtained to compare the system's performance to that of different ophthalmologists.

Results

In the validation data set, the ONION system distinguished between acute ON and NAION achieved the following mean performance: time-consuming (23 s), AUC 0.903 (95% CI 0.827-0.947), sensitivity 0.796 (95% CI 0.704-0.864), and specificity 0.865 (95% CI 0.783-0.920). Testing data set: time-consuming (17 s), AUC 0.902 (95% CI 0.832-0.944), sensitivity 0.814 (95% CI 0.732-0.875), and specificity 0.841 (95% CI 0.762-0.897). The performance (κ = 0.805) was comparable to that of a retinal expert (κ = 0.749) and was better than the other four ophthalmologists (κ = 0.309-0.609).

Conclusion

The ONION system performed satisfactorily distinguishing ON from NAION at the acute phase. It might greatly benefit the challenging differentiation between ON and NAION.

Presumptive Idiopathic Intracranial Hypertension Based on Neuroimaging Findings: A Referral Pattern Study

BACKGROUND

Radiologic findings of intracranial hypertension (RAD-IH) are common in idiopathic intracranial hypertension (IIH) patients. Paralleling the increasing rates of obesity, the burden of IIH is growing. Urgent neuro-ophthalmology consultations for possible IIH in patients with incidentally detected RAD-IH are increasing, with many patients receiving unnecessary lumbar punctures (LPs) and treatments. This retrospective observational study aimed to determine the prevalence of neuro-ophthalmology consultations for RAD-IH, rate of funduscopic examination by referring providers, prevalence of papilledema, outcomes after neuro-ophthalmic evaluation, and rates of misdiagnosis.

METHODS

Records of 1,262 consecutive new patients seen in one neuro-ophthalmology clinic from January 2019 to January 2020 were reviewed. We identified patients who were: 1) referred with concern for IIH because of findings of RAD-IH; 2) referred for "papilledema"; 3) referred with a diagnosis of IIH; and 4) referred for spontaneous cranial cerebrospinal fluid (CSF) leaks. In addition to basic demographic profiles for all groups, detailed information was collected for patients referred solely for RAD-IH, including referral patterns, prior history of IIH, previous LPs, prior medical or surgical treatment(s), risk factors for increased intracranial pressure (ICP), presenting symptoms, radiologic features observed on neuroimaging, and final disposition. When available, the neuroimaging was reviewed by an expert neuroradiologist.

RESULTS

Of 1,262 consecutive new patients, 66 (5%) were referred specifically for RAD-IH; most referrals came from neurologists (58%); 8/66 (12%) patients had papilledema; 16/66 (24%) patients had prior LP and 13/66 (20%) were already treated based on MRI findings; and 22/66 (33%) patients had ≤2 RAD-IH. Only 34/66 (52%) of patients referred for RAD-IH had prior funduscopic examinations. We confirmed papilledema in 26/82 (32%) patients referred for "papilledema." Only 29/83 (35%) patients referred with a diagnosis of IIH had active papilledema, and 3/16 (19%) patients with spontaneous CSF leaks had papilledema. In total, 247/1,262 (20%) new patients were referred to our clinic over 1 year with concern for IIH, among whom only 66 (27%) were confirmed to have active IIH with papilledema.

CONCLUSIONS

One in 5 new patient referrals seen in our neuro-ophthalmology clinic were referred because of concern for increased ICP, but only 1/4 had active papilledema. Most patients referred for isolated RAD-IH do not have papilledema, many having undergone unnecessary LPs and treatments. The burden of these "rule-out IIH" consultations is overwhelming and will only continue to increase with the concurrent rise of obesity and IIH, straining the already limited neuro-ophthalmologic resources available in the US.

Interprofessional Electronic Consultations for the Diagnosis and Management of Neuro-Ophthalmic Conditions

BACKGROUND

Interprofessional electronic consultation (eConsult) is a telemedicine modality in which consulting providers review outside records and provide recommendations without in-person consultation. The purpose of this study was to describe the utilization of eConsults in the management of neuro-ophthalmic conditions.

METHODS

Retrospective cohort study of all patients who received an eConsult for a neuro-ophthalmic condition at a single quaternary referral center from 2018 to 2020. Main outcome measures included proportion of eConsults in which sufficient data were provided to the neuro-ophthalmologist to generate a definitive management decision, proportion of patients for whom an in-person neuro-ophthalmology evaluation was recommended, and the eConsult's impact on patient care.

RESULTS

Eighty eConsults were conducted on 78 patients during the 3-year study period. Forty-eight (60.0%) subjects were female, mean age was 54 years, and 65 (81.3%) were White. The median time from eConsult request to completion was 4 days (range: 0-34 days). The most frequent eConsult questions were vision/visual field disturbances in 28 (35.0%) cases, optic neuropathies in 22 (27.5%), and optic disc edema in 17 (21.3%). At the time of eConsult, sufficient prior information was provided in 35 (43.8%) cases for the neuro-ophthalmologist to provide a definitive management decision. In 45 (56.3%) eConsults, further diagnostic testing was recommended. In-person neuro-ophthalmology consultation was recommended in 24 (30.0%) cases. Sixty-one (76.3%) eConsults provided diagnostic and/or treatment direction, and 12 (15.0%) provided reassurance.

CONCLUSION

eConsults increase access to timely neuro-ophthalmic care and provide diagnostic and treatment direction to non-neuro-ophthalmology providers when sufficient information is provided at the time of eConsult.

Inappropriate Use of the Term "Papilledema" in the Medical Literature: A Systematic Review of Case Reports across Specialties

TOPIC

The term "papilledema" is often misused in different ways when describing nonintracranial pressure-related optic disc edema (ODE) or on fundoscopic examination. However, the extent of these errors is unknown among case reports.

CLINICAL RELEVANCE

"Papilledema" refers to ODE secondary to raised intracranial pressure (ICP). Papilledema is a leading reason for referral to neuro-ophthalmologists. In any specialty setting, papilledema must be distinguished from other causes of ODE because it implies a unique pathophysiology and management strategy. If managed inappropriately, papilledema may cause permanent vision loss.

METHODS

Cross-sectional evidence-based study with protocol registered on Open Science Framework (digital object identifier: 10.17605/OSF.IO/BUQS3). From Ovid MEDLINE and EMBASE, we included case reports with "papilledema" in their title, abstract, or article keywords between January 2011 and March 2022. Studies were graded for the following errors: type 1 (using "papilledema" without evidence of elevated ICP), type 2 (declaring "papilledema" on examination before finding evidence of elevated ICP), type 3 (both errors type 1 and 2), or no error.

RESULTS

Among 722 case reports, there was a total of 482 errors (66.8%). There were 12 type 1 errors, 360 type 2 errors, 110 type 3 errors, and 240 studies with no errors. Ophthalmology, neurology, and neurosurgery were the most represented fields, yet only ophthalmology had a low prevalence of errors among all specialties. Regardless, all specialties with at least 10 included reports had a high error prevalence (>30%). Reduced error prevalence was significantly associated with higher impact factor journals, non-open-access publication models, and origin countries with an English official language. Error prevalence was not significantly associated with publication year. Also, the relationship between article citation counts and the prevalence of any type of error did not reach significance. Risk of bias analysis indicated that error occurrence was unrelated to the quality of case report study design.

CONCLUSION

"Papilledema" is widely misused even among ophthalmology case reports. When allowed to propagate, this error can mislead care delivery to patients with ODE. Our results, although limited to case reports, indicate a need for more thorough peer-review standards and neuro-ophthalmology exposure in medical education.

Diagnostic Error in Neuro-ophthalmology: Avenues to Improve

Purpose of Review

To highlight potential avenues to reduce preventable diagnostic error of neuro-ophthalmic conditions and avoid patient harm.

Recent Findings

Recent prospective studies and studies of patient harm have advanced our understanding. Additionally, recent studies of fundus photography, telemedicine, and artificial intelligence highlight potential avenues for diagnostic improvement.

Summary

Diagnostic error of neuro-ophthalmic conditions can often be traced to failure to gather an adequate history, perform a complete physical exam, obtain adequate/appropriate neuroimaging, and generate a complete, appropriate differential diagnosis. Improving triage and identification of neuro-ophthalmic conditions by other providers and increasing access to subspecialty neuro-ophthalmology evaluation are essential avenues to reduce diagnostic error. Further research should evaluate the relationship between misdiagnosis and patient harm, and help identify the most impactful potential targets for improvement.

The Impact of COVID-19 on Neuro-Ophthalmology Office Visits and Adoption of Telemedicine Services

BACKGROUND

The COVID-19 public health emergency (PHE) has significantly changed medical practice in the United States, including an increase in the utilization of telemedicine. Here, we characterize change in neuro-ophthalmic care delivery during the early COVID-19 PHE, including a comparison of care delivered via telemedicine and in office.

METHODS

Neuro-ophthalmology outpatient encounters from 3 practices in the United States (4 providers) were studied during the early COVID-19 PHE (March 15, 2020-June 15, 2020) and during the same dates 1 year prior. For unique patient visits, patient demographics, visit types, visit format, and diagnosis were compared between years and between synchronous telehealth and in-office formats for 2020.

RESULTS

There were 1,276 encounters for 1,167 patients. There were 30% fewer unique patient visits in 2020 vs 2019 (477 vs 670) and 55% fewer in-office visits (299 vs 670). Compared with 2019, encounters in 2020 were more likely to be established, to occur via telemedicine and to relate to an efferent diagnosis. In 2020, synchronous telehealth visits were more likely to be established compared with in-office encounters.

CONCLUSIONS

In the practices studied, a lower volume of neuro-ophthalmic care was delivered during the early COVID-19 public health emergency than in the same period in 2019. The type of care shifted toward established patients with efferent diagnoses and the modality of care shifted toward telemedicine.

Retinal Migraine: Evaluation and Management

PURPOSE OF REVIEW

This review aims to summarize the last 15 years of literature and case reports detailing retinal migraine-an uncommon and somewhat poorly understood migraine variant.

RECENT FINDINGS

In the last 15 years, only 12 cases of retinal migraine have been outlined. Similar to other migraine statistics, retinal migraine appears to affect women more so than men and presents with unilateral headache which tends to be ipsilateral to the side of vision loss. The pathophysiology may relate to vasoconstriction of retinal vessels, as evidenced by ictal fundus photography in the past few years. Retinal migraine is a rare entity, with a paucity of described cases in the literature. Retinal migraine is a diagnosis of exclusion, as monocular vision loss might be ascribed to several concerning disorders requiring urgent diagnosis and treatment, and any patient presenting as such should be thoroughly investigated. Patients suffering from retinal migraine appear to respond to typical migraine abortive therapies including NSAIDs and migraine prophylactic medications.