Diagnostic Error in Stroke—Reasons and Proposed Solutions

Moving From CT to MRI Paradigm in Acute Ischemic Stroke: Feasibility, Effects on Stroke Diagnosis and Long-Term Outcomes

BACKGROUND

The relative value of computed tomography (CT) and magnetic resonance imaging (MRI) in acute ischemic stroke (AIS) is debated. In May 2018, our center transitioned from using CT to MRI as first-line imaging for AIS. This retrospective study aims to assess the effects of this paradigm change on diagnosis and disability outcomes.

METHODS

We compared all consecutive patients with confirmed diagnosis of AIS admitted to our center during the MRI-period (May 2018-August 2022) and an identical number of patients from the preceding CT-period (December 2012-April 2018). Univariable and multivariable analyses were performed to evaluate outcomes, including the number and delay of imaging exams, the rate of missed strokes, stroke mimics treated with thrombolysis, undetermined stroke mechanisms, length of hospitalization, and 3-month disability.

RESULTS

The median age of the 2972 included patients was 76 years (interquartile range, 65-84), and 46% were female. In the MRI-period, 80% underwent MRI as first acute imaging. The proportion of patients requiring a second acute imaging modality for diagnostic ± revascularization reasons increased from 2.1% to 5% (Punadj <0.05), but it decreased in the subacute phase from 79.0% to 60.1% (Padj <0.05). In thrombolysis candidates, there was a 2-minute increase in door-to-imaging delay (Padj <0.05). The rates of initially missed AIS diagnosis was similar (3.8% versus 4.4%, Padj=0.32) and thrombolysis in stroke mimics decreased by half (8.6% versus 4.3%; Padj <0.05). Rates of unidentified stroke mechanism at hospital discharge were similar (22.8% versus 28.1%; Padj=0.99). The length of hospitalization decreased from 9 (interquartile range, 6-14) to 7 (interquartile range, 4-12) days (Padj=0.62). Disability at 3 months was similar (common adjusted odds ratio for favorable Rankin shift, 0.98 [95% CI, 0.71-1.36]; Padj=0.91), as well as mortality and symptomatic intracranial hemorrhage.

CONCLUSIONS

A paradigm shift from CT to MRI as first-line imaging for AIS seems feasible in a comprehensive stroke center, with a minimally increased delay to imaging in thrombolysis candidates. MRI was associated with reduced thrombolysis rates of stroke mimics and subacute neuroimaging needs.

Frequency and Characteristics of Non-Neurological and Neurological Stroke Mimics in the Emergency Department

BACKGROUND

Stroke mimics are common in the emergency department (ED) and early detection is important to initiate appropriate treatment and withhold unnecessary procedures. We aimed to compare the frequency, clinical characteristics and predictors of non-neurological and neurological stroke mimics transferred to our ED for suspected stroke.

METHODS

This was a cross-sectional study of consecutive patients with suspected stroke transported to the ED of the University Hospital Essen between January 2017 and December 2021 by the city's Emergency Medical Service. We investigated patient characteristics, preclinical data, symptoms and final diagnoses in patients with non-neurological and neurological stroke mimics. Multinominal logistic regression analysis was performed to assess predictors of both etiologic groups.

RESULTS

Of 2167 patients with suspected stroke, 762 (35.2%) were diagnosed with a stroke mimic. Etiology was non-neurological in 369 (48.4%) and neurological in 393 (51.6%) cases. The most common diagnoses were seizures (23.2%) and infections (14.7%). Patients with non-neurological mimics were older (78.0 vs. 72.0 y, p < 0.001) and more likely to have chronic kidney disease (17.3% vs. 9.2%, p < 0.001) or heart failure (12.5% vs. 7.1%, p = 0.014). Prevalence of malignancy (8.7% vs. 13.7%, p = 0.031) and focal symptoms (38.8 vs. 57.3%, p < 0.001) was lower in this group. More than two-fifths required hospitalization (39.3 vs. 47.1%, p = 0.034). Adjusted multinominal logistic regression revealed chronic kidney and liver disease as independent positive predictors of stroke mimics regardless of etiology, while atrial fibrillation and hypertension were negative predictors in both groups. Prehospital vital signs were independently associated with non-neurological stroke mimics only, while age was exclusively associated with neurological mimics.

CONCLUSIONS

Up to half of stroke mimics in the neurological ED are of non-neurological origin. Preclinical identification is challenging and a high proportion requires hospitalization. Awareness of underlying etiologies and differences in clinical characteristics is important to provide optimal care.

Clinical applications of artificial intelligence in radiology

The rapid growth of medical imaging has placed increasing demands on radiologists. In this scenario, artificial intelligence (AI) has become an attractive partner, one that may complement case interpretation and may aid in various non-interpretive aspects of the work in the radiological clinic. In this review, we discuss interpretative and non-interpretative uses of AI in the clinical practice, as well as report on the barriers to AI's adoption in the clinic. We show that AI currently has a modest to moderate penetration in the clinical practice, with many radiologists still being unconvinced of its value and the return on its investment. Moreover, we discuss the radiologists' liabilities regarding the AI decisions, and explain how we currently do not have regulation to guide the implementation of explainable AI or of self-learning algorithms.

Diagnostic values of leukocyte, neutrophil, and neutrophil to lymphocyte ratio in distinguishing central facial paralysis from peripheral facial paralysis

OBJECTIVE

Misdiagnosis of central facial palsy (CFP) as peripheral facial palsy (PFP) can lead to serious consequences clinically. It is unknown whether the leukocyte counts (leukocyte), neutrophil counts (neutrophil), and neutrophil to lymphocyte ratio (NLR) can be used to distinguish CFP from PFP.

METHODS

Of the total 152 patients admitted for acute facial paralysis, 76 CFP patients (CFP group) caused by acute ischemic stroke (AIS) and 76 PFP cases (PFP group) without AIS were enrolled in this retrospective study. The levels of blood leukocyte, neutrophil, lymphocyte, platelet counts (platelet), NLR, and platelet to lymphocyte ratio (PLR) before or upon admission were recorded and compared between the two groups. The student t-test was adopted for comparison of the mean. Model discrimination was evaluated using the area under the receiver operating characteristic curve (AUC). Comparison of AUC was performed using the Z-test.

RESULTS

Compared with PFP group, the levels of leukocyte, neutrophil, and NLR were significantly increased in CFP group (all p < 0.01), and there were still significantly statistical differences (all p < 0.01), even after adjusting for age, gender, and past medical history, while no significantly statistical differences of lymphocyte, platelet, and PLR were found between CFP and PFP (all p > 0.05); furthermore, the AUC in distinguishing CFP from PFP were 0.629, 0.671, and 0.657 for leukocyte, neutrophil, and NLR, respectively, and no significant difference of AUC was observed among leukocyte, neutrophil, and NLR (p > 0.05); finally, the cutoff values (specificity, sensitivity, and Youden index) in distinguishing CFP from PFP were 7.08 × 10⁹/L (65.79%, 57.89%, 0.237) for leukocyte, 4.90 × 10⁹/L (73.68%, 60.53%, 0.342) for neutrophil, and 2.88 (72.37%, 55.26%, 0.276) for NLR, respectively.

CONCLUSIONS

As easy-to-obtain and inexpensive inflammatory biomarkers, leukocyte, neutrophil, and NLR could demonstrate diagnostic values in distinguishing between CFP and PFP.

Diagnostic accuracy of telestroke consultation: a Louisiana based tele-network experience

Background and purpose

Telestroke has grown significantly since its implementation. Despite growing utilization, there is a paucity of data regarding the diagnostic accuracy of telestroke to distinguish between stroke and its mimics. We aimed to evaluate diagnostic accuracy of telestroke consultations and explore the characteristics of misdiagnosed patients with a focus on stroke mimics.

Methods

We conducted a retrospective study of all the consultations in our Ochsner Health's TeleStroke program seen between April 2015 and April 2016. Consultations were classified into one of three diagnostic categories: stroke/transient ischemic attack, mimic, and uncertain. Initial telestroke diagnosis was compared with the final diagnosis post review of all emergency department and hospital data. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+) and negative likelihood ratio (LR-) for diagnosis of stroke/TIA versus mimic were calculated. Area under receiver-operating characteristic curve (AUC) analysis to predict true stroke was performed. Bivariate analysis based on the diagnostic categories examined association with sex, age, NIHSS, stroke risk factors, tPA given, bleeding after tPA, symptom onset to last known normal, symptom onset to consult, timing in the day, and consult duration. Logistic regression was performed as indicated by bivariate analysis.

Results

Eight hundred and seventy-four telestroke evaluations were included in our analysis. Accurate diagnosis through teleneurological consultation was seen in 85% of which 532 were strokes (true positives) and 170 were mimics (true negatives). Sensitivity, specificity, PPV, NPV were 97.8, 82.5, 93.7 and 93.4%, respectively. LR+ and LR- were 5.6 and 0.03. AUC (95% CI) was 0.9016 (0.8749-0.9283). Stroke mimics were more common with younger age and female gender and in those with less vascular risk factors. LR revealed OR (95% CI) of misdiagnosis for female gender of 1.9 (1.3-2.9). Lower age and lower NIHSS score were other predictors of misdiagnosis.

Conclusion

We report high diagnostic accuracy of the Ochsner Telestroke Program in discriminating stroke/TIA and stroke mimics, with slight tendency towards over diagnosis of stroke. Female gender, younger age and lower NIHSS score were associated with misdiagnosis.

Sex and Gender Bias as a Mechanistic Determinant of Cardiovascular Disease Outcomes

Defined as a prejudice either for or against something, biases at the provider, patient, and societal level all contribute to differences in cardiovascular disease recognition and treatment, resulting in outcome disparities between sexes and genders. Provider bias in the under-recognition of female-predominant cardiovascular disease and risks might result in underscreened and undertreated patients. Furthermore, therapies for female-predominant phenotypes including nonobstructive coronary artery disease and heart failure with preserved ejection fraction are less well researched, contributing to undertreated female patients. Conversely, women are less likely to seek urgent medical attention, potentially related to societal bias to put others first, which contributes to diagnostic delays. Furthermore, women are less likely to have discussions around risk factors for coronary artery disease compared with men, partially because they are less likely to consider themselves at risk for heart disease. Provider bias in interpreting a greater number of presenting symptoms, some of which have been labelled as "atypical," can lead to mislabelling presentations as noncardiovascular. Furthermore, providers might avoid discussions around certain therapies including thrombolysis for stroke, and cardiac resynchronization therapy in heart failure, because it is incorrectly assumed that women are not interested in pursuing options deemed more invasive. To mitigate bias, organizations should aim to increase the visibility and involvement of women in research, health promotion, and clinical and leadership endeavours. More research needs to be done to identify effective interventions to mitigate sex and gender bias and the resultant cardiovascular outcome discrepancies.

Co-creating Digital Stories With UK-Based Stroke Survivors With the Aim of Synthesizing Collective Lessons From Individual Experiences of Interacting With Healthcare Professionals

Background

Stroke survivor narratives can provide valuable insight into experiences of healthcare and beyond. There is need to further understand collective lessons from stroke survivor narratives, yet prior studies utilizing digital storytelling tend to not synthesize lessons from individual experiences. This study aims to develop a novel method to co-create digital stories with stroke survivors that will aim to synthesize and portray important collective lessons from individual stroke survivors' experiences of interacting with healthcare professionals.

Methods

This study follows-up a qualitative study conducted with 30 stroke survivors exploring factors that help or hinder survivors to positively reconfigure their identity post-stroke. Five co-creation workshops were conducted with a subset of UK-based stroke survivors from this previous study. Participants were invited to join through: online workshops, an online bulletin board, and as an advisor. A four-stage workshop framework was developed through the integration of UK Design Council's Double Diamond method, digital storytelling strategies and the Behavior Change Wheel (BCW) framework for developing behavioral change interventions.

Findings

Six online workshop participants (three male, three female; aged 33–63; time since stroke 2–16 years) co-created digital stories that share six collective lessons aimed at increasing empathy and encouraging behavior change in healthcare professionals (HCPs) working with stroke survivors. Online bulletin board participants (n = 1) and advisors (n = 5) supported the co-creation process. Collective lessons identified were: (1) Stroke has a variety of symptoms that must all be considered; (2) Stroke can affect anyone of any age and not just the elderly; (3) Assumptions should not be made about a survivor's lifestyle or habits; (4) It is important to acknowledge the person behind the stroke and ensure that they are communicated with and listened to; (5) Stroke survivors can often feel unprepared for the reality of life after stroke; (6) Adapting to life after stroke is a long-term process requiring long-term support.

Conclusion

Stroke survivor stories highlighted preconceptions, attitudes and behaviors embedded within healthcare that negatively impacted their experiences and recovery. The novel methodology employed in this study enabled these stories to be synthesized into collective lessons to bring about improvements in these behaviors in future.

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.

nalyzing diagnostic errors in the acute setting: a process-driven approach

OBJECTIVES

We describe an approach for analyzing failures in diagnostic processes in a small, enriched cohort of general medicine patients who expired during hospitalization and experienced medical error. Our objective was to delineate a systematic strategy for identifying frequent and significant failures in the diagnostic process to inform strategies for preventing adverse events due to diagnostic error.

METHODS

Two clinicians independently reviewed detailed records of purposively sampled cases identified from established institutional case review forums and assessed the likelihood of diagnostic error using the Safer Dx instrument. Each reviewer used the modified Diagnostic Error Evaluation and Research (DEER) taxonomy, revised for acute care (41 possible failure points across six process dimensions), to characterize the frequency of failure points (FPs) and significant FPs in the diagnostic process.

RESULTS

Of 166 cases with medical error, 16 were sampled: 13 (81.3%) had one or more diagnostic error(s), and a total of 113 FPs and 30 significant FPs were identified. A majority of significant FPs (63.3%) occurred in "Diagnostic Information and Patient Follow-up" and "Patient and Provider Encounter and Initial Assessment" process dimensions. Fourteen (87.5%) cases had a significant FP in at least one of these dimensions.

CONCLUSIONS

Failures in the diagnostic process occurred across multiple dimensions in our purposively sampled cohort. A systematic analytic approach incorporating the modified DEER taxonomy, revised for acute care, offered critical insights into key failures in the diagnostic process that could serve as potential targets for preventative interventions.

Diagnostic Accuracy in Teleneurological Stroke Consultations

Background: The accuracy of diagnosing acute cerebrovascular disease via a teleneurology service and the characteristics of misdiagnosed patients are insufficiently known. Methods: A random sample (n = 1500) of all teleneurological consultations conducted between July 2015 and December 2017 was screened. Teleneurological diagnosis and hospital discharge diagnosis were compared. Diagnoses were then grouped into two main categories: cerebrovascular disease (CVD) and noncerebrovascular disease. Test characteristics were calculated. Results: Out of 1078 consultations, 52% (n = 561) had a final diagnosis of CVD. Patients with CVD could be accurately identified via teleneurological consultation (sensitivity 95.2%, 95% CI 93.2–96.8), but we observed a tendency towards false-positive diagnosis (specificity 77.4%, 95% CI 73.6–80.8). Characteristics of patients with a false-negative CVD diagnosis were similar to those of patients with a true-positive diagnosis, but patients with a false-negative CVD diagnosis had ischemic heart disease less frequently. In retrospect, one patient would have been considered a candidate for intravenous thrombolysis (0.2%). Conclusions: Teleneurological consultations are accurate for identifying patients with CVD, and there is a very low rate of missed candidates for thrombolysis. Apart from a lower prevalence of ischemic heart disease, characteristics of “stroke chameleons” were similar to those of correctly identified CVD patients.

Patient Harm Due to Diagnostic Error of Neuro-Ophthalmologic Conditions

PURPOSE

To prospectively examine diagnostic error of neuro-ophthalmic conditions and resultant harm at multiple sites.

DESIGN

Prospective, cross-sectional study.

PARTICIPANTS

A total of 496 consecutive adult new patients seen at 3 university-based neuro-ophthalmology clinics in the United States in 2019 to 2020.

METHODS

Collected data regarding demographics, prior care, referral diagnosis, final diagnosis, diagnostic testing, treatment, patient disposition, and impact of the neuro-ophthalmologic encounter. For misdiagnosed patients, we identified the cause of error using the Diagnosis Error Evaluation and Research (DEER) taxonomy tool and whether the patient experienced harm due to the misdiagnosis.

MAIN OUTCOME MEASURES

The primary outcome was whether patients who were misdiagnosed before neuro-ophthalmology referral experienced harm as a result of the misdiagnosis. Secondary outcomes included appropriateness of referrals, misdiagnosis rate, interventions undergone before referral, and the primary type of diagnostic error.

RESULTS

Referral diagnosis was incorrect in 49% of cases. A total of 26% of misdiagnosed patients experienced harm, which could have been prevented by earlier referral to neuro-ophthalmology in 97%. Patients experienced inappropriate laboratory testing, diagnostic imaging, or treatment before referral in 23%, with higher rates for patients misdiagnosed before referral (34% of patients vs. 13% with a correct referral diagnosis, P < 0.0001). Seventy-six percent of inappropriate referrals were misdiagnosed, compared with 45% of appropriate referrals (P < 0.0001). The most common reasons for referral were optic neuritis or optic neuropathy (21%), papilledema (18%), diplopia or cranial nerve palsies (16%), and unspecified vision loss (11%). The most common sources of diagnostic error were the physical examination (36%), generation of a complete differential diagnosis (24%), history taking (24%), and use or interpretation of diagnostic testing (13%). In 489 of 496 patients (99%), neuro-ophthalmology consultation (NOC) affected patient care. In 2% of cases, neuro-ophthalmology directly saved the patient's life or vision; in an additional 10%, harmful treatment was avoided or appropriate urgent referral was provided; and in an additional 48%, neuro-ophthalmology provided a diagnosis and direction to the patient's care.

CONCLUSIONS

Misdiagnosis of neuro-ophthalmic conditions, mismanagement before referral, and preventable harm are common. Early appropriate referral to neuro-ophthalmology may prevent patient harm.

Frequency, Risk Factors, Causes, and Consequences of Diagnostic Errors in Critically Ill Medical Patients: A Retrospective Cohort Study

OBJECTIVE

Diagnostic errors are a source of significant morbidity and mortality but understudied in the critically ill. We sought to characterize the frequency, causes, consequences, and risk factors of diagnostic errors among unplanned ICU admissions.

DESIGN

We conducted a retrospective cohort study of randomly selected nonsurgical ICU admissions between July 2015 and June 2016.

SETTING

Medical ICU at a tertiary academic medical center.

SUBJECTS

Critically ill adults with unplanned admission to the medical ICU.

MEASUREMENTS AND MAIN RESULTS

The primary investigator reviewed patient records using a modified version of the Safer Dx instrument, a validated instrument for detecting diagnostic error. Two intensivists performed secondary reviews of possible errors, and reviewers met periodically to adjudicate errors by consensus. For each confirmed error, we judged harm on a 1-6 rating scale. We also collected detailed demographic and clinical data for each patient. We analyzed 256 unplanned ICU admissions and identified 18 diagnostic errors (7% of admissions). All errors were associated with harm, and only six errors (33%) were recognized by the ICU team within the first 24 hours. More women than men experienced a diagnostic error (11.7% vs 2.7%; p = 0.015, χ test). On multivariable logistic regression analysis, female sex remained independently associated with risk of diagnostic error both at admission (odds ratio, 5.18; 95% CI, 1.34-20.08) and at 24 hours (odds ratio, 11.6; 95% CI, 1.37-98.6). Similarly, Quick Sequential Organ Failure Assessment score greater than or equal to 2 at admission was independently associated with diagnostic error (odds ratio, 5.73; 95% CI, 1.72-19.01).

CONCLUSIONS

Diagnostic errors may be an underappreciated source of ICU-related harm. Women and higher acuity patients appear to be at increased risk for such errors. Further research is merited to define the scope of error-associated harm and to clarify risk factors for diagnostic errors among the critically ill.

Misdiagnosis of Cervicocephalic Artery Dissection in the Emergency Department

Background and Purpose- Cervicocephalic artery dissection is an important cause of stroke. The clinical presentation of dissection can resemble that of benign neurological conditions leading to delayed or missed diagnosis. Methods- We performed a retrospective cohort study using statewide administrative claims data from all Emergency Department visits and admissions at nonfederal hospitals in Florida from 2005 to 2015 and New York from 2006 to 2015. Using validated International Classification of Diseases, Ninth Revision, CM codes, we identified adult patients hospitalized for cervicocephalic artery dissection. We defined probable misdiagnosis of dissection as having an Emergency Department treat-and-release visit for symptoms or signs of dissection, including headache, neck pain, and focal neurological deficits in the 14 days before dissection diagnosis. Multivariable logistic regression was used to compare adverse clinical outcomes in patients with and without probable misdiagnosis. Results- Among 7090 patients diagnosed with a dissection (mean age 52.7 years, 44.9% women), 218 (3.1% [95% CI, 2.7%-3.5%]) had a preceding probable Emergency Department misdiagnosis. After adjustment for demographics and vascular risk factors, there were no differences in rates of stroke (odds ratio, 0.82 [95% CI, 0.62-1.09]) or in-hospital death (odds ratio, 0.26 [95% CI, 0.07-1.08]) between dissection patients with and without a probable misdiagnosis at index hospitalization. Conclusions- We found that ≈1 in 30 dissection patients was probably misdiagnosed in the 2 weeks before their diagnosis.

Diagnostic Errors in Initial Misdiagnosis of Optic Nerve Sheath Meningiomas

Importance

Diagnostic errors can lead to the initial misdiagnosis of optic nerve sheath meningiomas (ONSM), which can lead to vision loss.

Objective

To identify factors contributing to the initial misdiagnosis of ONSM.

Design, Setting, and Participants

We retrospectively reviewed 35 of 39 patients with unilateral ONSM (89.7%) who were seen in the tertiary neuro-ophthalmology practice at Emory University School of Medicine between January 2002 and March 2017. The Diagnosis Error Evaluation and Research taxonomy tool was applied to cases with missed/delayed diagnoses.

Exposures

Evaluation in a neuro-ophthalmology clinic.

Main Outcomes and Measures

Identifying the cause of diagnostic errors for patients who initially received a misdiagnosis who were found to have ONSM.

Results

Of 35 patients with unilateral ONSM (30 women [85.7%]; mean [SD] age, 45.26 [15.73] years), 25 (71%) had a diagnosis delayed for a mean (SD) of 62.60 (89.26) months. The most common diagnostic error (19 of 25 [76%]) was clinician assessment failure (errors in hypothesis generation and weighing), followed by errors in diagnostic testing (15 of 25 [60%]). The most common initial misdiagnosis was optic neuritis (12 of 25 [48%]), followed by the failure to recognize optic neuropathy in patients with ocular disorders. Five patients who received a misdiagnosis (20%) underwent unnecessary lumbar puncture, 12 patients (48%) unnecessary laboratory tests, and 6 patients (24%) unnecessary steroid treatment. Among the 16 patients who initially received a misdiagnosis that was later correctly diagnosed at our institution, 11 (68.8%) had prior magnetic resonance imaging (MRI) results that were read as healthy; 5 (45.5%) showed ONSM but were misread by a non-neuroradiologist and 6 (54.5%) were performed incorrectly (no orbital sequence or contrast). Sixteen of the 25 patients (64%) had a poor visual outcome.

Conclusions and Relevance

Biased preestablished diagnoses, inaccurate funduscopic examinations, a failure to order the correct test (MRI brain/orbits with contrast), and a failure to correctly interpret MRI results were the most common sources of diagnostic errors and delayed diagnosis with worse visual outcomes and increased cost (more visits and tests). Easier access to neuro-ophthalmologists, improved diagnostic strategies, and education regarding neuroimaging should help prevent diagnostic errors.

Errors in the Diagnosis of Stroke-Tales of Common Stroke Mimics and Strokes in Hiding

Introduction:

Stroke mimics are some of the common causes of misdiagnosis of stroke, with an attendant surfeit of finances and resources.

Aim:

We attempt to discuss some of the common neurological conditions mimicking stroke in the emergency.

Methods:

We reviewed the articles in English discussing stroke mimics in the last 5 years of publication.

Purpose of the Review:

We discuss the most common causes of stroke mimics encountered in neurological practice. In this short communication, we shall focus on the discussion of the diagnostic pitfalls and clinical clues that will help distinguish mimics from a true stroke.

Diagnostic error and neuro-ophthalmology

PURPOSE OF REVIEW

This review summarizes the recent literature on diagnostic error relevant to the practice of neuro-ophthalmology, and evaluates the potential for increased access to neuro-ophthalmology to decrease rates of diagnostic error, thereby reducing medical harm and spending on unnecessary tests and treatments.

RECENT FINDINGS

Despite medical advances, current research continues to show alarmingly high rates of diagnostic error. Research into diagnostic error shows that many of these errors can be traced to cognitive errors. Recent studies on diagnostic problems relevant to neuro-ophthalmology, including studies of misdiagnosis of posterior communicating artery aneurysms, idiopathic intracranial hypertension, optic neuritis, and optic nerve sheath meningiomas, have identified major causes of diagnostic error in these conditions.

SUMMARY

Studies on diagnostic error in neuro-ophthalmologic conditions show that prior to evaluation by a neuro-ophthalmologist, patients may undergo unnecessary tests and treatments that are costly and potentially harmful. Further research on diagnostic error will inform better utilization of neuro-ophthalmologists as a resource to decrease diagnostic error.