Description Of Symptoms Research Articles

Perceptions and metaphors of patients about epileptic seizures and postictal state in Medellín-Colombia: A qualitative study

IntroductionPWE describe epileptic seizures and the postictal state with the description of experienced symptoms or through metaphorical language. For treating physicians, this metaphoric language may go unnoticed. The purpose of the study is to identify both the real and metaphorical descriptions of epileptic seizures and postictal state referred by PWE from Medellín Colombia. MethodsIt is a qualitative study that uses grounded theory applied in ten semi-structured interviews of PWE from the Metropolitan Area of Medellín, Colombia. Descriptions of epileptic seizures and the postictal state were identified. For their classification into metaphorical and literal characteristics, the texts of “The Living Metaphor” by Paul Riccoeur, “The Illness and its Metaphors – AIDS and its Metaphors” by Susan Sontag, and “Metaphors of Everyday Life” by Lakoff and Johnson were used as references. ResultsTen clinical and fourteen metaphorical descriptions of epileptic seizures were identified. Regarding the postictal state, eight clinical and six metaphorical descriptions were identified. The metaphors were classified into three categories: a. external force b. depreciation and division and c. the absence of continuity (slowness, disconnection). ConclusionMetaphors are frequent in the description of epileptic seizures and can be useful in seizure classification, neuroanatomical localization, and therapeutic approach. Metaphors can be an initial stage in the construction of otherness as a form of identity.

Herbis, non verbis, fiunt medicamenta vitae: The Italian botanist Arturo Nannizzi (1887–1961) and his contribution to the treatment of parkinsonism following encephalitis lethargica

ABSTRACT We describe the Italian contribution to the description and treatment of parkinsonism following encephalitis lethargica (EL): postencephalitic parkinsonism (PEP). Special attention is devoted to the description of postencephalitic symptoms by Giuseppe Panegrossi (1871–1953) and to the treatment based on Atropa belladonna introduced in Italy and extensively supported by Arturo Nannizzi (1887–1961), who was charged by the queen of Italy with conducting research into this plant and advocating its cultivation for healing purposes. This article gives us the unique opportunity to revisit the figure of this distinguished botanist, providing a summary of his biography, interests, and achievements.

Characterisation of internal tremors and vibration symptoms

ObjectivesTo describe the experiences of patients who have postacute sequelae SARS-CoV-2 infection with internal vibrations and tremors as a prominent component, we leveraged the efforts by Survivor Corps, a grassroots...

Research on Symptomatic Treatment Decision Support System Based on Natural Language Process (NLP) for Medication Guidance.

This study is to test the technologies related to natural language processing (NLP) and text analysis to solve the problem of symptom analysis and symptomatic treatment for healthcare workers and patients after large-scale outbreaks of infectious diseases. Using the keyword extraction tool based on NLP technology combined with text analysis, the symptom description of the infected population obtained from the questionnaire survey was analyzed, and the efficacy of the symptomatic treatment drug was analyzed, and finally a pre-experimental system of online symptomatic treatment support drug selection system was produced. Through natural language processing (NLP) and text analysis of the symptoms of infected people, we found that high-frequency symptoms were mainly reflected in: nasal congestion, sore throat, fever and other high-frequency keywords, and through the analysis of alternative drug libraries, we also found that the drugs were mainly concentrated in: cold medicines, antipyretic drugs,and traditional Chinese medicines. In the early stage of infectious disease outbreak, it is difficult to use the existing drug library to make a prompt system under the premise of insufficient data collection, and a relatively complete symptomatic treatment support medication system can be formed after accumulating certain samples.

Development and content validation of a sunlight exposure diary in patients with erythropoietic protoporphyria

BackgroundErythropoietic protoporphyria is a rare, inherited disorder presenting in early childhood with severe, painful phototoxicity. EPP has significant impacts on health-related quality of life, though there is variable disease severity. Accurately capturing how much time individuals with EPP can spend outdoors before they develop symptoms is critical to understanding HRQoL and measuring therapeutic response. Therefore, the goal of this study was to develop a comprehensive and content valid sun exposure diary to assess the efficacy of new therapies in individuals with EPP.MethodsQualitative interviews were conducted with adult and adolescent EPP participants, as well as five clinical experts, to obtain their input on the content of an existing sun exposure diary. Revisions to the diary were made based on evidence generated in cognitive debriefing interviews analyzed in eight consecutive groups of EPP participant.ResultsInterviews were conducted with 17 adults and 6 adolescents with EPP. The average age of adults was 40 years and of adolescents was 14 years. Clinical experts thought the original diary needed clarification on the description of symptoms, how time outdoors was captured, and the distinction between direct vs. indirect sunlight. Participants with EPP also noted these items needed revision, and that the distinction between prodromal symptoms and full reaction symptoms should be clarified. In the final diary version, participants with EPP found most items to be clear and easy to complete/think about. Seventy-six percent of participants (13/17) asked thought the diary was easy to complete. The remainder thought the majority of the diary was easy to complete with the exception of select questions.ConclusionsEvaluating a new treatment for EPP requires accurately capturing time in sunlight and symptoms in this unique disorder. The newly developed sun exposure diary is content valid and can be used to assess important aspects of symptoms and daily life and therefore evaluate clinically meaningful therapeutic response.

Atypical Ebola Virus Disease in a Rhesus Macaque.

Ebola virus (EBOV)-Makona infected more than 30 000 people from 2013 to 2016 in West Africa, among them many health care workers including foreign nationals. Most of the infected foreign nationals were evacuated and treated in their respective home countries, resulting in detailed reports of the acute disease following EBOV infection as well as descriptions of symptoms now known as post-Ebola syndrome, which occurred months after the infection. Symptoms associated with this syndrome include uveitis and neurological manifestations. In 1 of our EBOV-Makona nonhuman primate (NHP) studies, 1 NHP was euthanized on day 28 after infection having completely recovered from the acute disease. During convalescence, this NHP developed neurological signs and acute respiratory distress requiring euthanasia. The organ tropism had changed with high virus titers in lungs, brain, eye, and reproductive organs but no virus in the typical target organs for acute EBOV infection. This in part reflects sequelae described for EBOV survivors albeit developing quicker after recovery from acute disease.

Psychodeontological prerogatives related to the stigma of patients affected by mental disorders

The American Psychiatric Association defines mental illnesses as alterations in the cognitive, emotional or behavioral sphere (or a combination of these domains), which lead to suffering and/or problems in the person's social, professional or relational interaction skills. Given the range of possible symptoms, when talking about mental illnesses, reference should always be made to a standardized classification system, i.e. a list of disorders recognized to date, accompanied by their description and lists of symptoms and essential criteria for diagnosis. Currently, the most widely used manual in the world is the DSM (Diagnostic and Statistical Manual of Mental Disorders), published by the American Psychiatric Association, whose structure follows a multiaxial system. Other international norms or classification systems include the International Statistical Classification of Diseases and Related Health Problems (ICD), which is often referred to by the WHO in mental health action plans, defining "mental disorders" as the range of disorders that falls under the ICD-10 classification. Within the given classifications, we can find disorders of different severities, with significant differences both in terms of the degree of suffering and in terms of the effects on the person's capacity for social interaction. However, the present paper does not aim to analyze clinical problems related to mental illnesses, but to address the state of care of people suffering from such illnesses in our country. In particular, we are motivated by the need to examine, from a bioethical point of view, critical issues arising from various studies of the current state of psychiatric care, critical issues affecting the lives of people with mental illness and their families, and which are strongly denounced to the institutions by the scientific societies.

Exploring YouTube Videos About Anorexia Nervosa on the Basis of Reliability, Popularity, and Contributions of Healthcare Professionals: A Cross-Sectional Study.

Anorexia nervosa, an eating disorder, is characterized by a distorted body image, intense fear of gaining weight, and self-imposed starvation. The aim of this study is to analyze type of information as well as its quality and reliability on YouTube about anorexia nervosa. Methodology: A cross-sectional observational study was conducted on 59 Youtube videos using anorexia nervosa-related keywords in June 2023. The characteristics of the YouTube videos, such as the language of the information, the time of upload, and the qualifications of the uploaders, were recorded. The content and quality of 59 videos were assessed using the Global Quality Score (GQS) and reliability grading systems. The videos accumulated a total of 256,602 likes, 5,644 dislikes, and 17,761 comments. Treatment-related content accounted for 81.36% of the videos, while descriptions of symptoms comprised 79.66%. Doctors contributed to 18.6% of the total uploads, making them the second-largest group of uploaders after the 'Other' category. The median reliability score for doctors is 4, the same as the hospital healthcare organization. This indicates that the perceived reliability of doctors as a source of information is as high as that of hospital healthcare organizations. In conclusion, this study highlights the importance of critically evaluating information on anorexia nervosa videos on YouTube. Despite variations in popularity, the overall quality and reliability remained consistent. Doctors were perceived as reliable sources of information, comparable to hospital healthcare organizations. Ensuring accurate and trustworthy content is crucial for supporting those affected by anorexia nervosa and promoting reliable information to the public.

Assessing the role of the quality and quantity of caregiver clinical participation on patient activation in the metastatic breast cancer setting.

312 Background: Caregivers maximize health and quality of life of individuals undergoing treatment for cancer by assisting with daily activities, managing complex care, navigating health care systems, and communicating with health care professionals. In metastatic breast cancer (MBC), caregiver roles may be more extensive due to treatment trajectories. Little is known about how caregivers participate in clinical encounters and how their roles in treatment decision-making impact patient engagement. Methods: This mixed-methods analysis explored the effect of the quantity and quality of caregiver participation at clinical encounters in women with MBC. Participation quantity was measured by calculating proportion speaking time (seconds spoken/total appointment time) for oncologists, patients, and caregivers. A summative thematic content analysis using a constant comparative method was utilized to inductively identify caregiver roles during recorded appointments. Caregiver participation quality was then operationalized as the summed number of roles displayed (0-12). Patient participation quality was assessed using the Patient Activation Measure (PAM; scored 0-100 with higher scores indicating more activation) and compared to caregiver quantity and quality of participation using Spearman’s correlations. Results: Fifty-three clinical encounters with verbal caregiver participation were recorded. Patients had a mean age of 58 (SD 10) and were predominately white (72%); demographics of caregivers were not collected. On average, encounters lasted for 30 minutes (SD 12) during which oncologists spoke for 76%, patients for 20%, and caregivers for 4% of the encounter. Identified caregiver roles included: General Support; Management of Treatment or Medication; Treatment History; Decision-Making; Insurance or Money; Pharmacy; Scheduling; Travel Concerns; General Cancer Understanding; Patient Specific Cancer Understanding; Caregiver-Initiated or Emphasis on Symptom Severity; and Caregiver Back-Up of Patient Symptom Description. Caregiver quality scores averaged 5 roles (SD 3) and patients were highly activated (M=65, SD 16). Quality [r(53) = 0.349, p=0.010] and not the quantity [r(53) = 0.213, p=0.126] of caregiver contributions were associated with higher levels of patient activation. Conclusions: Although caregiver time speaking did not impact patient activation, the more ways that the caregiver productively participated in the clinical encounter, the more activated the patient was in their care. Greater integration of the caregiver into treatment decision-making appointments could help to encourage patient engagement when developing a treatment plan for MBC.

Delayed vascular complication after collagenase injection for Dupuytren disease

BackgroundVascular adverse events after collagenase injection for Dupuytren disease are absent in large trials and systematic reviews. The aim of this study is to present a case series of delayed vascular complications after collagenase treatment.MethodsA prospective evaluation of 1181 consecutively treated patients at one orthopedic department identified three patients reporting symptoms of possible vascular complication. Baseline demographics and description of symptoms were collected, with a physical examination documenting extension deficit and neurovascular status. All patients completed the Cold Intolerance Symptom Severity (CISS) scale (range 4-100, lower is better) and underwent Doppler sonography examination of the digital arteries.ResultsAll patients were treated in the small finger and two had an isolated proximal interphalangeal joint contracture. All patients had a delayed presentation of a few months, with episodes of white discoloration of the treated finger relieved within 30 min and associated with variable pain, paresthesia, stiffness and weakness. Two of the patients reported cold exposure as an episode trigger and had a pathological CISS score (40 and 36, respectively). Doppler sonography identified a nonpatent ulnar digital artery in one patient.ConclusionsDelayed vascular complication after collagenase treatment is rare, but surgeons and patients should be aware of the risk, especially when treating the small finger.

The Impact of Standardized Recovery Pathways on Language Barriers and Inpatient Pain Management.

Inpatient postoperative care is reliant upon clear, open communication between providers and patient-families, and thus is particularly vulnerable to disparities when discordant languages exist. It is not yet understood how standardized postoperative protocols may mitigate disparities related to language discordance. This is a retrospective cohort study among adolescent idiopathic scoliosis patients who underwent posterior spinal fusion at a tertiary care children's hospital in Bronx, New York after implementation of a postoperative pathway in 2017. Outcomes reliant upon communication between patient-families and providers were measured, including measures of pain management (number and type of pain medications requested, daily pain assessments, total opioids consumed), as well as outpatient pain scores. A total of 160 patients were included (39 language other than English [LOE]). Between patient cohorts, there were no significant differences in demographic or operative characteristics. On univariate analyses, LOE patients were more likely to be given a basal dosing of patient-controlled analgesia or additional boluses (26% vs 12%, P = .03), consumed 0.53 fewer benzodiazepine medications per day (P = .01), and were more likely to have pain at outpatient follow-up (67% vs 43%, P = .03). On multivariate analyses, LOE patients were more likely to be placed on basally dosed or receive additional boluses of patient-controlled analgesia (odds ratio 3.19, 95% confidence interval 1.15-8.85). As standardized pathways become more common in health care, it is critical to monitor for components of these protocols that may be vulnerable to language-related disparities, such as therapies reliant on symptom description and outpatient follow-up.

A chat about bipolar disorder.

This study aimed to assess the capabilities of ChatGPT (Chat Generative Pre-Trained Transformer) in generating informative content related to bipolar disorders. The objectives were to evaluate its ability to provide accurate information on symptoms, classification, causes, and management of bipolar disorder and to explore its creativity in generating topic-related songs. ChatGPT3 was used for the study, and a series of clinically relevant questions were asked to test its knowledge and creativity. Questions ranged from common symptom descriptions to more artistic requests for songs related to bipolar disorder. ChatGPT demonstrated the capacity to provide basic and informative material on bipolar disorders, including descriptions of symptoms, classification types, causes, and treatment options. It also showed creativity in generating songs that capture the nuances of bipolar symptoms, both during high and low states. While ChatGPT3 can offer superficial information on psychiatric topics like bipolar disorder, its inability to provide accurate and up-to-date references limits its utility for creating a comprehensive review article for scientific journals. However, it may be helpful in generating educational material and assisting in component tasks for those with bipolar disorder or other psychiatric conditions. As newer versions of AI models are continually developed, their capabilities in producing more accurate and advanced content will need further evaluation.

Gynecological concerns and vaginal practices and exposures among transfeminine individuals who have undergone vaginoplasty.

Vaginoplasty is a gender-affirming surgery that is medically necessary for some transfeminine individuals. Little research exists describing vaginal health after the initial recovery from surgery, and evidence-based guidelines for vaginal care practices are unavailable. The study sought to describe self-reported gynecological concerns and vaginal care practices among transfeminine persons who have undergone vaginoplasty. A total of 60 transfeminine participants 18+ years of age, living in Canada, and who had undergone vaginoplasty at least 1 year prior were recruited through social media, community groups, healthcare provider referrals, and study recontact. Participants completed a cross-sectional, online questionnaire detailing demographics, gynecological concerns, and genital practices and exposures. Hierarchical clustering was used to group participants based on behavioral practices and exposures. Associations between clusters and gynecological concerns were assessed. Outcomes included self-reported gynecological concerns within the past year, recent vulvar or vaginal symptoms (past 30days), and behavioral practices/exposures, including douching with varied products and dilating. Participants reported a variety of concerns in the past year, including urinary tract infection (13%) and internal hair regrowth (23%). More than half (57%) had experienced at least 1 recent vaginal symptom, most commonly malodor (27%) and vaginal bleeding (21%). Of participants, 48% were dilating weekly and 52% reported douching in the past 30days. Four distinct clusters of vaginal practices/exposures were identified: limited exposures; dilating, no douching; dilating and douching; and diverse exposures. No significant associations between cluster membership and gynecological concerns were identified, though cluster membership was significantly associated with surgical center (P = .03). Open-text write-ins provided descriptions of symptoms and symptom management strategies. The results provide insight for clinicians on common patient-reported gynecological concerns and current vaginal care practices and exposures, including symptom management strategies. This was the first study to investigate vaginal health and genital practices/exposures among a community sample of transfeminine individuals. As participants self-enrolled for a detailed survey and swab collection, individuals experiencing concerns were likely overrepresented. Transfeminine individuals reported a range of gynecological concerns outside of the surgical healing period. Genital practices/exposures varied across clusters, but no clear associations between clusters and symptoms were identified; instead, practice/exposure clusters were dependent on where the individual underwent vaginoplasty. There is a need for evidence to inform diagnostics, treatments, and vaginal care guidelines to support vaginal health.

A hybrid machine learning and natural language processing model for early detection of acute coronary syndrome

Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity. Predicting the associated risks of patients with chest pain using electronic health record data can help identify those needing more tailored care. This study proposes the development of a reliable prediction framework to serve as a diagnostic support tool for preventing misdiagnoses among patients with clinical concerns for ACS. Data were collected from an urban, demographically diverse hospital in Detroit, Michigan, for patients presenting to the emergency department (ED) with primary chief complaints of chest pain from January 2017 to August 2020. This study incorporated term frequency-inverse document frequency features from free-text summaries, which contain anecdotal symptom descriptions and are among the first data points provided upon entering the ED. The analysis included 16,096 patients with clinical concerns for ACS and trained three machine learning models, logistic regression, AdaBoost, and linear discriminant analysis, across different data processing stages to predict patients with ACS from non-ACS etiology. The AdaBoost model outperformed the other two models with an accuracy of 94% and an F1-score of 0.943 in predicting ACS on the testing data. This study identified key independent factors from patient demographics, comorbidities, and clinical narrative data that predicted ACS in patients. The prediction framework can serve as a decision-support tool to classify ACS and inform physicians about better ACS risk factors.

Patterns of movement-evoked pain during tendon loading and stretching tasks in Achilles tendinopathy: A secondary analysis of a randomized controlled trial

BackgroundThis study aimed to characterize movement-evoked pain during tendon loading and stretching tasks in individuals with Achilles tendinopathy, and to examine the association between movement-evoked pain with the Achilles tendinopathy type (insertional and midportion), biomechanical, and psychological variables. MethodsIn this laboratory-based, cross-sectional study, 37 individuals with chronic Achilles tendinopathy participated. Movement-evoked pain intensity (Numeric Rating Scale: 0 to 10) and sagittal-plane ankle biomechanics were collected simultaneously during standing, fast walking, single-leg heel raises, and weight-bearing calf stretch. Description of symptoms, including location of Achilles tendon pain and duration of tendon morning stiffness, as well as pain-related psychological measures, including the Tampa Scale of Kinesiophobia were collected. Linear mixed effects models were built around two paradigms of movement-evoked pain (tendon loading and stretching tasks) with each model anchored with pain at rest. FindingsMovement-evoked pain intensity increased as task demand increased in both models. Lower peak dorsiflexion with walking (β = −0.187, 95% CI: −0.305, −0.069), higher fear of movement (β = 0.082, 95% CI: 0.018, 0.145), and longer duration of tendon morning stiffness (β = 0.183, 95% CI: 0.07, 0.296) were associated with greater pain across tendon loading tasks (R2 = 0.47). Lower peak dorsiflexion with walking (β = −0.27, 95% CI: −0.41, −0.14), higher dorsiflexion with the calf stretch (β = 0.095, 95% CI: 0.02, 0.16), and insertional Achilles tendinopathy (β = −0.93, 95% CI: −1.65, −0.21) were associated with higher pain across tendon stretching tasks (R2 = 0.53). InterpretationIn addition to exercise, the ideal management of Achilles tendinopathy may require adjunct treatments to address the multifactorial aspects of movement-evoked pain.

A review of brain regions and associated post-concussion symptoms.

The human brain is an exceptionally complex organ that is comprised of billions of neurons. Therefore, when a traumatic event such as a concussion occurs, somatic, cognitive, behavioral, and sleep impairments are the common outcome. Each concussion is unique in the sense that the magnitude of biomechanical forces and the direction, rotation, and source of those forces are different for each concussive event. This helps to explain the unpredictable nature of post-concussion symptoms that can arise and resolve. The purpose of this narrative review is to connect the anatomical location, healthy function, and associated post-concussion symptoms of some major cerebral gray and white matter brain regions and the cerebellum. As a non-exhaustive description of post-concussion symptoms nor comprehensive inclusion of all brain regions, we have aimed to amalgamate the research performed for specific brain regions into a single article to clarify and enhance clinical and research concussion assessment. The current status of concussion diagnosis is highly subjective and primarily based on self-report of symptoms, so this review may be able to provide a connection between brain anatomy and the clinical presentation of concussions to enhance medical imaging assessments. By explaining anatomical relevance in terms of clinical concussion symptom presentation, an increased understanding of concussions may also be achieved to improve concussion recognition and diagnosis.

Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions

BackgroundThere is a prevailing view that humans’ capacity to use language to characterize sensations like odors or tastes is poor, providing an unreliable source of information.MethodsHere, we developed a machine learning method based on Natural Language Processing (NLP) using Large Language Models (LLM) to predict COVID-19 diagnosis solely based on text descriptions of acute changes in chemosensation, i.e., smell, taste and chemesthesis, caused by the disease. The dataset of more than 1500 subjects was obtained from survey responses early in the COVID-19 pandemic, in Spring 2020.ResultsWhen predicting COVID-19 diagnosis, our NLP model performs comparably (AUC ROC ~ 0.65) to models based on self-reported changes in function collected via quantitative rating scales. Further, our NLP model could attribute importance of words when performing the prediction; sentiment and descriptive words such as “smell”, “taste”, “sense”, had strong contributions to the predictions. In addition, adjectives describing specific tastes or smells such as “salty”, “sweet”, “spicy”, and “sour” also contributed considerably to predictions.ConclusionsOur results show that the description of perceptual symptoms caused by a viral infection can be used to fine-tune an LLM model to correctly predict and interpret the diagnostic status of a subject. In the future, similar models may have utility for patient verbatims from online health portals or electronic health records.

Clinician Interruptions and Patient-Rated Clinician Empathy in Specialty Visits.

Clinicians tend to interrupt patients when they are describing their problem, which may contribute to feeling unheard or misunderstood. Using transcripts of audio and video recordings from musculoskeletal (MSK) specialty visits, we asked what factors are associated with (1) Perceived clinician empathy, including the time a patient spends describing the problem and time to the first interruption, (2) duration of patient symptom description, and (3) duration between the end of greeting and first nonactive listening interruption. We analyzed transcripts of 194 adult patients seeking MSK specialty care with a median age (Interquartile range [IQR]) of 47 (33 to 59) years. Participants completed postvisit measures of perceived clinician empathy, symptoms of depression, accommodation of pain, and health anxiety. A nonactive listening interruption was defined as the clinician unilaterally redirecting the topic of conversation. Factors associated with patient-rated clinician empathy, patient problem description duration, and time until the first nonactive listening interruption were sought in bivariate and multivariable analyses. The patient's narrative was interrupted at least one time in 144 visits (74%). The duration of each visit was a median of 12 minutes (IQR 9 to 16 minutes). The median time patients spent describing their symptoms was 139 seconds before the first interruption (IQR 84 to 225 seconds). The median duration between the end of the initial greeting and the first interruption was 60 seconds (IQR 30 to 103 seconds). Clinician interruption was associated with shorter duration of symptom description. Greater perceived clinician empathy was associated with greater accommodation of pain (regression coefficient [95% confidence interval] = 0.015 [0.0005-0.30]; P = 0.04). Clinician interruption was associated with shorter symptom presentation, but not with diminished perception of clinician empathy. Although active listening and avoidance of interruption are important communication tactics, other aspects of the patient-clinician relationship may have more effect on patient experience.

Presenting Symptoms and Imaging Features of Posterior Cerebral Artery Stroke Causing Homonymous Hemianopia.

Posterior cerebral artery (PCA) stroke is a common cause of homonymous hemianopia and other neurologic deficits associated with more proximal ischemia in the vertebrobasilar circuit. Localization of the process can be challenging unless the symptom complex is well recognized, yet early diagnosis is critical to forestall dangerous driving and repeated stroke. We undertook this study to provide additional detail about the presenting symptoms and signs and their correlation with imaging abnormalities and stroke etiology. Retrospective study of medical records of patients presenting to a single tertiary care academic center between 2009 and 2020 with homonymous hemianopia from PCA stroke. We excerpted data on symptoms, visual and neurologic signs, incident medical procedures and diagnoses, and imaging features. We determined stroke etiology using the Causative Classification Stroke system. In a cohort of 85 patients, 90% of strokes occurred without preceding symptoms. But in retrospect, 10% of strokes did have warning symptoms. In 20% of patients, strokes followed within 72 hours of a medical or surgical procedure or newly identified medical condition. In the subgroups of patients whose records contained a description of visual symptoms, 87% reported the visual sensation as negative, and 66% realized that it was located in a hemifield in both eyes. Concurrent nonvisual symptoms were present in 43% of patients, consisting commonly of numbness, tingling, and new headache. Infarction located outside the visual cortex affected primarily the temporal lobe, thalamus, and cerebellum, reflecting the widespread nature of ischemia. Nonvisual clinical manifestations and arterial cutoffs on imaging were associated with thalamic infarction, but the clinical features and location of the infarction did not correlate with the etiology of the stroke. In this cohort, clinical localization of the stroke was aided by the fact that many patients could lateralize their visual symptoms and had nonvisual symptoms suggestive of ischemia affecting the proximal vertebrobasilar circuit. Numbness and tingling were strongly linked to concurrent thalamic infarction. Clinical features and infarct location were not associated with the etiology of the stroke.

Are you congested? A comparison of definitions between otolaryngologists and their patients.

To assess for differences of intended meaning in the description of congestion-related symptoms among otolaryngology patients and clinicians. Between June 2020 and October 2022, a questionnaire consisting of 16 common descriptors of congestion-related symptoms within four domains (obstructive-related, pressure-related, mucus-related, and other symptoms) was completed by patients and otolaryngologists at five tertiary otolaryngology practices. The primary outcome was to assess differences in patient and clinician perceptions of congestion-related symptoms. Differences based on geographic location was a secondary outcome. A total of 349 patients and 40 otolaryngologists participated. Patients selected a median of 6.8 (standard deviation [SD] 3.0) terms compared with 4.0 (SD 1.6) terms for otolaryngologists (p<0.001). Otolaryngologists were more likely to select obstruction-related symptoms (difference 6.3%; 95% confidence interval [CI] 3.8%, 8.9%). Patients were more likely to describe congestion using pressure-related (-43.7%; -58.9%, -28.5%), mucus-related (-43.5%; -59.3%, -27.8%), and other symptoms (-44.2; -51.3%, -37.1%) compared with otolaryngologists. There were no significant differences identified based on geographic location with regard to symptom domains on multivariate analysis. There are differences between otolaryngologists and their patients in the interpretation of the symptoms of congestion. Clinicians tended to have a narrower interpretation of congestion that was limited to the obstruction-related symptom domain, while patients defined congestion more broadly. This has important counseling and communication implications for the clinician.