Consensus paper on the management of acute isolated vertigo in the emergency department.

Acute vertigo is defined as the perception of movement of oneself or the surroundings in the absence of actual motion and it is a frequent cause for emergency department admissions. The utilization of medical resources and the duration of hospital stay for this kind of symptom is high. Furthermore, the efficiency of brain imaging in the acute phase is low, considering the limited sensitivity of both CT and MRI for diagnosing diseases that are the causes of central type of vertigo. Relying on imaging tests can provide false reassurance in the event of negative results or prolong the in-hospital work-up improperly. On the other hand, clinical examinations, notably the assessment of nystagmus' features, have proven to be highly accurate and efficient when performed by experts. Literature data point out that emergency physicians often do not employ these skills or use them incorrectly. Several clinical algorithms have been introduced in recent years with the aim of enhancing the diagnostic accuracy of emergency physicians when evaluating this specific pathology. Both the 'HINTS and 'STANDING' algorithms have undergone external validation in emergency physician hands, showing good diagnostic accuracy. The objective of this consensus document is to provide scientific evidence supporting the clinical decisions made by physicians assessing adult patients with acute vertigo in the emergency department, particularly in cases without clear associated neurological signs. The document aims to offer a straightforward and multidisciplinary approach. At the same time, it tries to delineate benchmarks for the formulation of local diagnostic and therapeutic pathways, as well as provide a base for the development of training and research initiatives.

Variations in Unmet Health Care Needs by Perceptions of Social Media Health Mis- and Disinformation, Frequency of Social Media Use, Medical Trust, and Medical Care Discrimination: Cross-Sectional Study.

Background: Unmet need for health care is defined as choosing to postpone or completely avoid necessary medical treatment despite having a need for it, which can worsen current conditions or contribute to new health problems. The emerging infodemic can be a barrier that prevents people from accessing quality health information, contributing to lower levels of seeking medical care when needed. Objective: We evaluated the association between perceptions of health mis- and disinformation on social media and unmet need for health care. In addition, we evaluated mechanisms for this relationship, including frequency of social media use, medical trust, and medical care discrimination. Methods: Data from 3964 active adult social media users responding to the 2022 Health Information National Trends Survey 6 (HINTS 6), a nationally representative survey, were analyzed. The outcome was unmet need for medical care, defined as delaying or not getting the necessary medical care. The predictor variables were perception of social media health mis- and disinformation, frequency of social media use, level of trust in the health care system, and perceived racial and ethnic discrimination when receiving health care. Results: Multivariable logistic regression models indicated that perception of substantial social media health mis- and disinformation (odds ratio [OR] 1.40, 95% CI 1.07-1.82), daily use of social media (OR 1.34, 95% CI 1.01-1.79), low medical trust (OR 1.46, 95% CI 1.06-2.01), and perceived discrimination (OR 2.24, 95% CI 1.44-3.50) were significantly associated with a higher likelihood of unmet need for medical care. Unmet need among adults who did not use social media daily and who did not perceive substantial mis- and disinformation (24%; 95% CI 19%-30%) was lower compared to daily social media users who perceived substantial mis- and disinformation (38%; 95% CI 32%-43%). Adults who perceived substantial mis- and disinformation and had low trust in health care had the highest probability of reporting unmet need (43%; 95% CI 38%-49%) compared to the other three groups. Adults who perceived substantial mis- and disinformation and experienced medical care discrimination had a statistically significant higher probability of reporting unmet need (51%; 95% CI 40%-62%) compared to adults who did not experience medical care discrimination and did not perceive substantial mis- and disinformation (29%; 95% CI 26%-32%). Conclusions: Unmet need for medical care was higher among individuals who perceived a substantial degree of social media mis- and disinformation, especially among those who used social media daily, did not trust the health care system, and experienced racial or ethnic discrimination when receiving health care. To counter the negative effects of social media mis- and disinformation on unmet need for health care, public health messaging must focus on daily social media users as well as improving trust and reducing structural racism in the health care system.

Diagnosing Emergencies in Undifferentiated Acute Vertigo.

Background: Patients with undifferentiated acute dizziness usually report with rapid onset of severe, often disabling illusion of movement with many other features. This accounts for roughly 50 to 100 million visits globally in emergencies annually. The causes may be numerous. Thus, the perplexed clinician needs to pursue advanced diagnostic imaging and unnecessary hospital admission in these patients. Aims and objectives: This study aims to assess the validity of HINTS Plus (head impulse test-nystagmus-test of skew + hearing assessment) test in diagnosing central causes of vertigo in patients with acute undifferentiated vertigo presenting within 72 h of onset of symptoms. The other objectives are to understand epidemiology and describe the assessment and management of these patients. Method: The data of 82 patients who visited the clinic within 72 h of the onset of symptoms as mentioned earlier during two years from August 2021 to 2023 at Ankush Hospital was stratified and analyzed. The outcome is reported here. Results: Among 82 patients, peripheral vestibular cause accounts for 84%. 12% were due to ischemic stroke and cardiovascular reasons. The sensitivity of HINTS Plus in isolating central acute vestibular vertigo was 100%, and the specificity was 95.6%. Conclusion: The risk for central and cerebrovascular causes of dizziness increases in the elderly with the presence of neurological signs and other comorbidities. The sensitivity and specificity of HINTS plus (4 Components) is very high in identifying central causes of undifferentiated acute vestibular in the first 72 h of onset of symptoms when undertaken by a trained clinician. Supplementary Information: The online version contains supplementary material available at 10.1007/s12070-024-04493-2.

ACR Appropriateness Criteria® Dizziness and Ataxia: 2023 Update.

Diagnostic evaluation of a patient with dizziness or vertigo is complicated by a lack of standardized nomenclature, significant overlap in symptom descriptions, and the subjective nature of the patient's symptoms. Although dizziness is an imprecise term often used by patients to describe a feeling of being off-balance, in many cases dizziness can be subcategorized based on symptomatology as vertigo (false sense of motion or spinning), disequilibrium (imbalance with gait instability), presyncope (nearly fainting or blacking out), or lightheadedness (nonspecific). As such, current diagnostic paradigms focus on timing, triggers, and associated symptoms rather than subjective descriptions of dizziness type. Regardless, these factors complicate the selection of appropriate diagnostic imaging in patients presenting with dizziness or vertigo. This document serves to aid providers in this selection by using a framework of definable clinical variants. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.

Barriers to Cervical Cancer Screening and Satisfaction with Self-Sampling among Black Women in Michigan: a Mixed Methods Study.

Background: In recent years, cervical cancer screening among Black women in the United States has declined, followed by increased incidence and mortality. We aim to evaluate the individual, sociocultural, and structural barriers to cervical cancer screening in relationship to the exam technique barriers. Methods: Participants received cervical cancer self-screening kits in the mail. They returned their samples and a quantitative survey developed from the Health Information National Trends Survey (HINTS) modules designed to address the known individual, sociocultural, and structural barriers to screening. We established the fourteen attributes of cervical cancer screening techniques from prior work. Participants then shared their experiences in a semi-structured qualitative interview informed by the Theoretical Domains Framework (TDF) to explore the answers to the survey questions. We coded themes from the interviews. Women were grouped as younger (30-45 years) and older (46-65 years). Results: Of the 41 women completing the study, 21 were in the younger age group (mean 37.3, SD 4.7), and 20 were in the older age group (56.5 (5.5)). All participants self-identified as African American/Black and were due for cervical cancer screening. Women indicated that individual, sociocultural, and structural barriers influenced their cervical cancer screening, but the most significant barrier was the speculum-based technique itself. Three positive attributes and eight negative attributes significantly differed by screening technique, favoring the self-screening technique. Conclusions: The self-screening technique for screening for cervical cancer is feasible and acceptable to this group of Black women.

Relationships among health-related social media use, knowledge, worry, and cervical cancer screening: A cross-sectional study of US females.

OBJECTIVE: This study aimed to explore the relationship between health-related social media use and HPV-related health knowledge, attitudes, and practices (KAP). METHOD: Data were derived from a subset of the national cohort from the 2022 Health Information National Trends Survey (HINTS 6), including only women aged 21 to 65 years old (n = 2013). Ordinary least squares regression and structural equation modeling were used to answer the research question and test hypotheses. RESULTS: Participants with a family history of cancer, higher education, and White showed more HPV knowledge. Older females were associated with lower HPV knowledge, less worry and fewer timely cervical cancer screening. Additionally, HPV knowledge positively predicted worry and cervical cancer screening. Health-related social media use positively predicted HPV knowledge, worry, and cervical cancer screening. CONCLUSION: This study identified populations with HPV knowledge and hesitated cervical cancer screening and tested hypothesized models that combine social media use with the KAP survey. PRACTICE IMPLICATIONS: Future health interventions should strategically leverage the role of social media to enhance public awareness of HPV knowledge and cancer concerns. By promoting HPV knowledge and awareness, such interventions can subsequently encourage timely cervical cancer screening.

Application of bedside HINTS, ABCD2 score and truncal ataxia to differentiate cerebellar-brainstem stroke from vestibular neuritis in the emergency room.

BACKGROUND AND PURPOSE: Acute vestibular syndrome (AVS) typically manifests as isolated dizziness or vertigo with no apparent neurological impairments. However, distinguishing life-threatening stroke from innocuous peripheral vestibular lesions in the emergency room (ER) remains challenging. This study aimed to explore the ability of the head impulse-nystagmus-test of skew (HINTS) combined with truncal ataxia or ABCD2 score to differentiate stroke from peripheral vestibular disease in patients with AVS in the ER. METHODS: We prospectively recruited 121 patients with AVS from December 2022 to June 2023, 69 of whom presented with vestibular neuritis (VN) and the remaining with posterior circulation stroke (PCS). We analysed the HINTS results, truncal ataxia and ABCD2 score and compared the sensitivity and specificity among HINTS, truncal ataxia, ABCD2 score and their combinations using the McNemar test for paired samples. RESULTS: HINTS combined with grade 2-3 truncal ataxia achieved significantly higher sensitivity than that of isolated HINTS in differentiating PCS from VN (100% vs 88.5%, p=0.031). The specificity of HINTS plus grade 2-3 truncal ataxia did not significantly differ from that of isolated HINTS (p=0.125); however, the combination of ABCD2 score and HINTS did not improve the diagnostic accuracy. The sensitivity of ABCD2 score ≥4 plus grade 2-3 truncal ataxia was significantly higher than those of isolated ABCD2 score ≥4 or isolated grade 2-3 truncal ataxia (p=0.016 and p<0.001, respectively) and not significantly lower than that of isolated HINTS (p=0.508). CONCLUSION: Compared with the ABCD2 score, the truncal ataxia is of more valuable assistance to HINTS in differentiating PCS. Although the combination of ABCD2 score and truncal ataxia has a significant implication, it is not a replacement for HINTS.

Inequities in Technology Access and Digital Health Literacy Among Patients With Dermatologic Conditions: Cross-Sectional Analysis of the National Health Interview Survey.

Certain sociodemographic factors are associated with low technology access and digital healthy literacy.

Quantifying Induced Nystagmus Using a Smartphone Eye Tracking Application (EyePhone).

BACKGROUND: There are ≈5 million annual dizziness visits to US emergency departments, of which vestibular strokes account for over 250 000. The head impulse, nystagmus, and test of skew eye examination can accurately distinguish vestibular strokes from peripheral dizziness. However, the eye-movement signs are subtle, and lack of familiarity and difficulty with recognition of abnormal eye movements are significant barriers to widespread emergency department use. To break this barrier, we sought to assess the accuracy of EyePhone, our smartphone eye-tracking application, for quantifying nystagmus. METHODS AND RESULTS: We prospectively enrolled healthy volunteers and recorded the velocity of induced nystagmus using a smartphone eye-tracking application (EyePhone) and then compared the results with video oculography (VOG). Following a calibration protocol, the participants viewed optokinetic stimuli with incremental velocities (2-12 degrees/s) in 4 directions. We extracted slow phase velocities from EyePhone data in each direction and compared them with the corresponding slow phase velocities obtained by the VOG. Furthermore, we calculated the area under the receiver operating characteristic curve for nystagmus detection by EyePhone. We enrolled 10 volunteers (90% men) with an average age of 30.2±6 years. EyePhone-recorded slow phase velocities highly correlated with the VOG recordings (r=0.98 for horizontal and r=0.94 for vertical). The calibration significantly increased the slope of linear regression for horizontal and vertical slow phase velocities. Evaluating the EyePhone's performance using VOG data with a 2 degrees/s threshold showed an area under the receiver operating characteristic curve of 0.87 for horizontal and vertical nystagmus detection. CONCLUSIONS: We demonstrated that EyePhone could accurately detect and quantify optokinetic nystagmus, similar to the VOG goggles.

Consumption of Health-Related Videos and Human Papillomavirus Awareness: Cross-Sectional Analyses of a US National Survey and YouTube From the Urban-Rural Context.

BACKGROUND: Nearly 70% of Americans use the internet as their first source of information for health-related questions. Contemporary data on the consumption of web-based videos containing health information among American adults by urbanity or rurality is currently unavailable, and its link with health topic awareness, particularly for human papillomavirus (HPV), is not known. OBJECTIVE: We aim to describe trends and patterns in the consumption of health-related videos on social media from an urban-rural context, examine the association between exposure to health-related videos on social media and awareness of health topics (ie, HPV and HPV vaccine), and understand public interest in HPV-related video content through search terms and engagement analytics. METHODS: We conducted a cross-sectional analysis of the US Health Information National Trends Survey 6, a nationally representative survey that collects data from civilian, noninstitutionalized adults aged 18 years or older residing in the United States. Bivariable analyses were used to estimate the prevalence of consumption of health-related videos on social media among US adults overall and by urbanity or rurality. Multivariable logistic regression models were used to examine the association between the consumption of health-related videos and HPV awareness among urban and rural adults. To provide additional context on the public's interest in HPV-specific video content, we examined search volumes (quantitative) and related query searches (qualitative) for the terms "HPV" and "HPV vaccine" on YouTube. RESULTS: In 2022, 59.6% of US adults (152.3 million) consumed health-related videos on social media, an increase of nearly 100% from 2017 to 2022. Prevalence increased among adults living in both urban (from 31.4% in 2017 to 59.8% in 2022; P<.001) and rural (from 22.4% in 2017 to 58% in 2022; P<.001) regions. Within the urban and rural groups, consumption of health-related videos on social media was most prevalent among adults aged between 18 and 40 years and college graduates or higher-educated adults. Among both urban and rural groups, adults who consumed health-related videos had a significantly higher probability of being aware of HPV and the HPV vaccine compared with those who did not watch health videos on the internet. The term "HPV" was more frequently searched on YouTube compared with "HPV vaccine." Individuals were most commonly searching for videos that covered content about the HPV vaccine, HPV in males, and side effects of the HPV vaccine. CONCLUSIONS: The consumption of health-related videos on social media in the United States increased dramatically between 2017 and 2022. The rise was prominent among both urban and rural adults. Watching a health-related video on social media was associated with a greater probability of being aware of HPV and the HPV vaccine. Additional research on designing and developing social media strategies is needed to increase public awareness of health topics.

The acute vestibular syndrome: prevalence of new hearing loss and its diagnostic value.

OBJECTIVES: To assess the prevalence of new hearing losses in patients with acute vestibular syndrome (AVS) and to start to evaluate its diagnostic value for the differentiation between peripheral and central causes. DESIGN: We performed a cross-sectional prospective study in AVS patients presenting to our Emergency Department (ED) from February 2015 to November 2020. All patients received an MRI, Head-impulse test, Nystagmus test and Test of skew ('HINTS'), caloric testing and a pure-tone audiometry. RESULTS: We assessed 71 AVS patients, 17 of whom had a central and 54 a peripheral cause of dizziness. 12.7% had an objective hearing loss. 'HINTS' had an accuracy of 78.9% to diagnose stroke, whereas 'HINTS' plus audiometry 73.2%. 'HINTS' sensitivity was 82.4% and specificity 77.8% compared to 'HINTS' plus audiometry showing a sensitivity of 82.4% and specificity of 70.4%. The four patients with stroke and minor stroke had all central 'HINTS'. 55% of the patients did not perceive their new unilateral hearing loss. CONCLUSIONS: We found that almost one-eighth of the AVS patients had a new onset of hearing loss and only half had self-reported it. 'HINTS' plus audiometry proved to be less accurate to diagnose a central cause than 'HINTS' alone. Audiometry offered little diagnostic accuracy to detect strokes in the ED but might be useful to objectify a new hearing loss that was underestimated in the acute phase. Complete hearing loss should be considered a red flag, as three in four patients suffered from a central cause.

Telehealth Utilization and Good Care among Informal Caregivers: Health Information National Trends Survey, 2022.

BACKGROUND: The COVID-19 pandemic accelerated the adoption of telehealth services. Informal caregivers provide vital support to family and friends. Studying telehealth among informal caregivers is crucial to understanding how technology can support and enhance their caregiving responsibilities, potentially enhancing telehealth services for them as well as their patients. The present study aims to nationally investigate telehealth utilization and quality among informal caregivers. METHODS: This cross-sectional investigation employed the 2022 Health Information National Trends Survey (HINTS) dataset. Informal caregivers, telehealth variables (utilization, good care, technical problems, convenience, and concerns about infection exposure), and sociodemographic factors (age, gender, race/ethnicity, income, education, health insurance, and census regions) were identified based on questions in the survey. Weighted multivariable logistic regression models were employed to calculate odds ratios (ORs), 95% confidence intervals (CIs), and p-values. RESULTS: Significant disparities in telehealth utilization were detected among informal caregivers (N = 831), when telehealth users were compared to non-users. Those aged 50-64 (OR = 0.36, 95% CI = 0.20-0.65) and 65+ (OR = 0.40, 95% CI = 0.21-0.74) had significantly lower odds of using telehealth than those aged 35-49. Men had significantly lower odds of telehealth utilization (OR = 0.47, 95% CI = 0.25-0.87). Black caregivers compared to Whites had significantly lower odds (OR = 0.49, 95% CI = 0.24-0.99), while health insurance increased odds (OR = 5.31, 95% CI = 1.67-16.86) of telehealth utilization. Informal caregivers who used telehealth were more likely to be perceived as good telehealth caregivers if they had no telehealth technical issues compared to caregivers who had (OR = 4.61, CI = 1.61-13.16; p-value = 0.0051) and if they were from the South compared to the West (OR = 2.95, CI = 1.18-7.37, p-value = 0.0213). CONCLUSIONS: For the first time, to the best of our knowledge, we have nationally investigated telehealth utilization and quality among informal caregivers. Disparities in telehealth utilization among informal caregivers are evident, with age, gender, race, and health insurance being significant determinants. Telehealth quality is significantly influenced by technical problems and census regions, emphasizing the importance of addressing these aspects in telehealth service development for informal caregivers.

Concordant GRADE-3 Truncal Ataxia and Ocular Laterodeviation in Acute Medullary Stroke.

Background: Severe truncal ataxia associated with an inability to sit up without assistance (STA grade 3) is frequent in patients with central acute vestibular syndrome (AVS) involving the brainstem or cerebellum. When these patients have nystagmus, central HINTS excludes peripheral lesions; however, additional localization and lateralization signs are helpful, not only to resolve the peripheral versus central vestibular lesion dilemma, but to zero in on a precise lesion localization/lateralization to the lateral medulla, the most common ischemic lesion localization associated with an initially false-negative stroke MRI. Methods: This is a study of AVS patients with additional inclusion criteria: grades 2 or 3 ataxia with an eventual diagnosis of medullary stroke (MS), either involving the lateral medulla (LMS) or the medial medulla (MMS), and horizontal (h) gaze paralysis was the main exclusion criteria. All patients sat on the side of the bed or stretcher, with assistance if needed. A general neurologic examination followed in the sitting position, the testing protocol included the head impulse, spontaneous nystagmus, and skew deviation (HINTS) tests, followed by observation of the effect of brief 3-5 sec eyelid closure on ocular position, and saccade and pursuit eye movement tests. If they could sit, the protocol included the ability to stand with a wide base, then a narrow base, the Romberg test, and tandem gait. Radiographic lesion localization and horizontal gaze deviation concluded the protocol. Results: A total of 34 patients met the entry criteria, 34 MS (13 in the lateral medulla, 12 previously described, and 1 new patient), and 1 new MMS. Among them, n = 10/12 had grade 3 ataxia, and 3 (1 new patient) had grade 2 ataxia. In addition, overt ocular laterodeviation (OLD) was present in thirteen of them (35.3%). All OLD patients had gaze deviation and ipsilateral saccade and truncal lateropulsion, 1 medial medulla stroke patient had grade 3 truncal contrapulsion and contralateral hemiparesis without OLD, n = 20/21 patients with LMS without OLD had grade 3 truncal ataxia, and 1 had grade 2 truncal ataxia. Discussion: AVS patients with severe truncal ataxia (inability to sit without assistance) potentially have brainstem, cerebellum, or subcortical lesions. All patients had central HINTS; however, simultaneous direction-concordant STA 3 and OLD provided greater lateral medulla localization specificity, affecting the ipsilateral medulla. Future work to explore a practical posterior circulation stroke scale that includes HINTS, STA, and OLD will potentially select cases for thrombolysis even in the event of initially false-negative imaging.

Comorbidities were associated with cancer clinical trial discussion and participation: findings from the Health Information National Trends Survey-Surveillance, Epidemiology, and End Results Program (2021).

OBJECTIVES: Oncology clinical trials are recommended to better reflect real-world cancer patient populations and to increase patient access to new treatments in trials. The influence of comorbidities on trial participation is unclear. This study examined the association of having comorbidities and patients' experiences with clinical trial discussion or actual participation. STUDY DESIGN AND SETTING: We included 958 cancer survivors from Health Information National Trends Survey-Surveillance, Epidemiology, and End Results Program. Trial discussion was defined as whether their medical team discussed cancer clinical trials, and trial participation was defined as whether they participated. Comorbidities included diabetes, hypertension, heart condition, chronic lung disease, and depression/anxiety disorder. Design-based logistic regression results were conducted. RESULTS: Seventy-five percent of patients had one or more comorbidities, commonly having hypertension (56%) and diabetes (26%). Only 15% of participants reported trial discussion and 8% reported trial participation. Having one or more comorbidities was significantly associated with lower rates of trial discussion in univariate analysis (22.9% vs. 12.1%, odds ratio = 0.46, P = 0.001), and such association was pertained in adjusted logistic regression (20.5% vs. 12.8%, adjusted odds ratio = 0.54, P = 0.02). CONCLUSION: Findings suggest patients with comorbidities were underrepresented in cancer clinical trials, implying a potential lack of representativeness among trial participants.

Patient centeredness, independent health-related Internet use, and online communication with healthcare providers in later life: A cross-sectional study.

OBJECTIVE: To test the links between patient centeredness, independent health-related Internet use, and online communication with healthcare provider in later life. METHODS: These links were tested on a multivariable level through the prism of the socioemotional selectivity theory and the channel complementarity theory. The data were obtained from the Health Information National Trends Survey (Wave 5, Cycle 4) and analyzed using logistic regression models. The sample included older Internet users (N = 1165). RESULTS: Low patient centeredness corresponded to a decreased likelihood of communicating with healthcare providers online. No particular patient centeredness component was associated with the studied phenomenon. Online health information seeking corresponded to an increased likelihood of communicating with healthcare providers online. CONCLUSION: Patient centeredness plays a relatively modest role in explanation of the online communication with healthcare providers in later life. In addition, older adults' online health information seeking behavior and online patient-provider communication seem to complement each other. PRACTICE IMPLICATIONS: The findings can serve public health officials for developing programs aimed at increasing the rates of the online communication with healthcare providers in older population. The findings can also serve healthcare providers in their efforts to improve the quality of (online) communication with their older patients.

Bedside Testing in Acute Vestibular Syndrome-Evaluating HINTS Plus and Beyond-A Critical Review.

Acute vertigo and dizziness are frequent presenting symptoms in patients in the emergency department. These symptoms, which can be subtle and transient, present diagnostic challenges because they can be caused by a broad range of conditions that cut across many specialties and organ systems. Previous work has emphasized the value of combining structured history taking and a targeted examination focusing on subtle oculomotor signs. In this review, we discuss various diagnostic bedside algorithms proposed for the acutely dizzy patient. We analyzed these different approaches by calculating their area-under-the-curve (ROC) characteristics and sensitivity/specificity. We found that the algorithms that incorporated structured history taking and the use of subtle oculomotor signs had the highest diagnostic accuracy. In fact, both the HINTS+ bedside exam and the STANDING algorithm can more accurately diagnose acute strokes than early (<24 to 48 h after symptom onset) MRI with diffusion-weighted imaging (DWI). An important caveat is that HINTS and STANDING require moderate training to achieve this accuracy. Therefore, for physicians who have not undergone adequate training, other approaches are needed. These other approaches (e.g., ABCD2 score, PCI score, and TriAGe+ score) rely on vascular risk factors, clinical symptoms, and focal neurologic findings. While these other scores are easier for frontline providers to use, their diagnostic accuracy is far lower than HINTS+ or STANDING. Therefore, a focus on providing dedicated training in HINTS+ or STANDING techniques to frontline clinicians will be key to improving diagnostic accuracy and avoiding unnecessary brain imaging.

Mairá-Potato (Casimirella sp.): Botanical, Food, Pharmacological, and Phytochemical Aspects.

Millions of people in the world live in food insecurity, so identifying a tuber with characteristics capable of meeting the demand for food and also identifying active compounds that can be used to minimize harm to human health is of great value. The aim was to carry out a review based on systematic review tools and the main objective was to seek information on botanical, food, pharmacological, and phytochemical aspects of Casimirella sp. and propose possible applications. This review showed papers that addressed botanical, food, pharmacological, and phytochemical aspects of the Mairá-potato and presented suggestions for using this tuber allied to the information described in the works found in the Google Academic, Scielo, Science Direct, Scopus, PubMed, and Web of Science databases. This review synthesized knowledge about the Mairá-potato that can contribute to the direction of further research on the suggested technological applications, both on the use of this tuber as a polymeric material and its use as biomaterial, encapsulation, bioactive use, and 3D printing, because this work collected information about this non-conventional food plant (PANC) that shows great potential for use in various areas of study.

A new portable Fresnel magnifying loupe for nystagmus observation: a clinical education and clinical practice setting study.

BACKGROUND: Dizziness is a common complaint of patients treated by primary care physicians. It is predominantly caused by peripheral vestibular disorders; however, central nervous system disorders should be excluded. Examination of the eye movements and nystagmus can help differentiate the disorders of the central nervous system from the peripheral vestibular disorders; however, it is often not performed appropriately. In medical education practice, nystagmus observation may facilitate an understanding of vestibular function and nystagmus characteristics. Thus, we proposed a medical education practice to master nystagmus observation using a recently developed portable Fresnel magnifying loupe that could be shielded by one eye. METHODS: Thirty-three students from the Department of Physical Therapy and the Department of Speech, Language, and Hearing Therapy of the Mejiro University participated in this study. Postrotatory nystagmus was measured and compared using the new loupe and control methods, namely the naked eye and Frenzel goggles; we rated the ease of visibility using a five-point scale. RESULTS: The number of detected cases of nystagmus was significantly higher with the new loupe than with the naked eye (p = 0.001). In addition, there were no significant differences in the nystagmus counts between the observations using the new loupe and Frenzel goggles (p = 0.087). No significant difference was observed in the visibility of eye movements between the loupe and naked eye (p = 1.00). The Frenzel goggles provided better visibility compared to that by the loupe (p = 0.034); however, none of the participants reported poor visibility using any of these methods. CONCLUSIONS: Our newly developed Fresnel loupe allows for the observation of nystagmus counts a level of reduction in fixation suppression similar to that of Frenzel goggles in an educational practice setting. Furthermore, it enables the detection of significantly more nystagmus counts compared to that by the naked eye. It offers several advantages over Frenzel goggles, including its lightweight, thin, durable, and portable design. Additionally, the loupe does not rely on a power source and can be used under normal room lighting conditions. TRIAL REGISTRATION: This study was approved by the Medical Research Ethics Committee of Mejiro University (approval number: 21medicine-021).

Using the H2O Automatic Machine Learning Algorithms to Identify Predictors of Web-Based Medical Record Nonuse Among Patients in a Data-Rich Environment: Mixed Methods Study.

BACKGROUND: With the advent of electronic storage of medical records and the internet, patients can access web-based medical records. This has facilitated doctor-patient communication and built trust between them. However, many patients avoid using web-based medical records despite their greater availability and readability. OBJECTIVE: On the basis of demographic and individual behavioral characteristics, this study explores the predictors of web-based medical record nonuse among patients. METHODS: Data were collected from the National Cancer Institute 2019 to 2020 Health Information National Trends Survey. First, based on the data-rich environment, the chi-square test (categorical variables) and 2-tailed t tests (continuous variables) were performed on the response variables and the variables in the questionnaire. According to the test results, the variables were initially screened, and those that passed the test were selected for subsequent analysis. Second, participants were excluded from the study if any of the initially screened variables were missing. Third, the data obtained were modeled using 5 machine learning algorithms, namely, logistic regression, automatic generalized linear model, automatic random forest, automatic deep neural network, and automatic gradient boosting machine, to identify and investigate factors affecting web-based medical record nonuse. The aforementioned automatic machine learning algorithms were based on the R interface (R Foundation for Statistical Computing) of the H2O (H2O.ai) scalable machine learning platform. Finally, 5-fold cross-validation was adopted for 80% of the data set, which was used as the training data to determine hyperparameters of 5 algorithms, and 20% of the data set was used as the test data for model comparison. RESULTS: Among the 9072 respondents, 5409 (59.62%) had no experience using web-based medical records. Using the 5 algorithms, 29 variables were identified as crucial predictors of nonuse of web-based medical records. These 29 variables comprised 6 (21%) sociodemographic variables (age, BMI, race, marital status, education, and income) and 23 (79%) variables related to individual lifestyles and behavioral habits (such as electronic and internet use, individuals' health status and their level of health concern, etc). H2O's automatic machine learning methods have a high model accuracy. On the basis of the performance of the validation data set, the optimal model was the automatic random forest with the highest area under the curve in the validation set (88.52%) and the test set (82.87%). CONCLUSIONS: When monitoring web-based medical record use trends, research should focus on social factors such as age, education, BMI, and marital status, as well as personal lifestyle and behavioral habits, including smoking, use of electronic devices and the internet, patients' personal health status, and their level of health concern. The use of electronic medical records can be targeted to specific patient groups, allowing more people to benefit from their usefulness.

Identifying the predictors of severe psychological distress by auto-machine learning methods.

Social stress in daily life and the COVID-19 pandemic have greatly impacted the mental health of the population. Early detection of a predisposition to severe psychological distress is essential for timely interventions. This paper analyzed 4036 samples participating in the 2019-2020 National Health Information Trends Survey (HINTS) and identified 57 candidate predictors of severe psychological distress based on univariate chi-square and t-test analyses. Five machine learning methods, namely logistic regression (LR), automatic generalized linear models (Auto-GLM), automatic random forests (Auto-Random Forests), automatic deep neural networks (Auto-Deep learning) and automatic gradient boosting machines (Auto-GBM), were employed to model synthetic minority oversampling technique-based (SMOTE) resampled data and identify predictors of severe psychological distress. Predictors were evaluated by odds ratios in logistic models and variable importance in the other models. Forty-seven variables were identified as significant predictors of severe psychological distress, including 13 sociodemographic variables and 34 variables related to individual lifestyle and behavioral habits. Among them, new potentially relevant variables related to an individual's level of concern and trust in cancer information, exposure to health care providers, and cancer screening and awareness are included. The performance of each model was evaluated using five-fold cross-validation. The optimal model performance-wise was Auto-GBM with an accuracy of 89.75%, a precision of 89.68%, a recall of 89.31%, an F1-score of 89.48% and an AUC of 95.57%. Significant predictors of severe psychological distress were identified in this study and the value of machine learning methods in predicting severe psychological distress is demonstrated, thereby enhancing pre-prediction and clinical decision-making of severe psychological distress problems.