Association of large core middle cerebral artery stroke and hemorrhagic transformation with hospitalization outcomes.

Historically, investigators have not differentiated between patients with and without hemorrhagic transformation (HT) in large core ischemic stroke at risk for life-threatening mass effect (LTME) from cerebral edema. Our objective was to determine whether LTME occurs faster in those with HT compared to those without. We conducted a two-center retrospective study of patients with ≥ 1/2 MCA territory infarct between 2006 and 2021. We tested the association of time-to-LTME and HT subtype (parenchymal, petechial) using Cox regression, controlling for age, mean arterial pressure, glucose, tissue plasminogen activator, mechanical thrombectomy, National Institute of Health Stroke Scale, antiplatelets, anticoagulation, temperature, and stroke side. Secondary and exploratory outcomes included mass effect-related death, all-cause death, disposition, and decompressive hemicraniectomy. Of 840 patients, 358 (42.6%) had no HT, 403 (48.0%) patients had petechial HT, and 79 (9.4%) patients had parenchymal HT. LTME occurred in 317 (37.7%) and 100 (11.9%) had mass effect-related deaths. Parenchymal (HR 8.24, 95% CI 5.46-12.42, p < 0.01) and petechial HT (HR 2.47, 95% CI 1.92-3.17, p < 0.01) were significantly associated with time-to-LTME and mass effect-related death. Understanding different risk factors and sequelae of mass effect with and without HT is critical for informed clinical decisions.

Effect of Pap Smear Cytology, HPV Genotyping on the Concordance of Colposcopy and Conization Results.

OBJECTIVE: To evaluate the conization results performed due to human papillomavirus (HPV), smear, colposcopy results or clinician's decision and determine the factors that predict ≥CIN2. STUDY DESIGN: Retrospective comparative study. Place and Duration of the Study: Department of Gynaecology and Obstetrics, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Turkey, between January 2011 and December 2021. METHODOLOGY: Women with known HPV results who underwent conization in the Gynaecology clinic were retrospectively included. Age, HPV genotypes, conization, and colposcopy results of the patients were recorded. Patients were divided into two groups as those with and without ≥CIN2 and compared in terms of clinicopathological features. RESULTS: Four hundred and twenty eight (82.8%) of the 517 patients were premenopausal and perimenopausal, and 89 (17.2%) of the patients with a median age of 42 years (range: 30-65 years) were postmenopausal. While 374 were HPV 16/18 positive, 143 were non-16/18 HPV positive. Conization result was normal in 202 (39.1%) patients, CIN1 in 129 (25.0%) patients, and CIN 2-3 in 186 (36.0%) patients. In the HPV 16/18 positive group, conization result was normal in 38.2% of patients, CIN1 in 20.9%, and CIN 2-3 in 40.9%; these rates were 41.3%, 35.7%, and 23.1% in the HPV-other group, respectively (p <0.001). In the logistic regression model, age, HPV type (16/18), and smear cytology results (≥ASC-US) were tested as independent factors predicting ≥CIN2. CONCLUSION: HPV 16/18 positivity and smear cytology result (≥ASC-US) were the factors predicting ≥CIN2. Smear and HPV genotyping can make an important contribution to detecting false

Quantitative pupillometry and radiographic markers of intracranial midline shift: A pilot study.

Background: Asymmetric pupil reactivity or size can be early clinical indicators of midbrain compression due to supratentorial ischemic stroke or primary intraparenchymal hemorrhage (IPH). Radiographic midline shift is associated with worse functional outcomes and life-saving interventions. Better understanding of quantitative pupil characteristics would be a non-invasive, safe, and cost-effective way to improve identification of life-threatening mass effect and resource utilization of emergent radiographic imaging. We aimed to better characterize the association between midline shift at various anatomic levels and quantitative pupil characteristics. Methods: We conducted a multicenter retrospective study of brain CT images within 75 min of a quantitative pupil observation from patients admitted to Neuro-ICUs between 2016 and 2020 with large (>1/3 of the middle cerebral artery territory) acute supratentorial ischemic stroke or primary IPH > 30 mm3. For each image, we measured midline shift at the septum pellucidum (MLS-SP), pineal gland shift (PGS), the ratio of the ipsilateral to contralateral midbrain width (IMW/CMW), and other exploratory markers of radiographic shift/compression. Pupil reactivity was measured using an automated infrared pupillometer (NeurOptics®, Inc.), specifically the proprietary algorithm for Neurological Pupil Index® (NPi). We used rank-normalization and linear mixed-effects models, stratified by diagnosis and hemorrhagic conversion, to test associations of radiographic markers of shift and asymmetric pupil reactivity (Diff NPi), adjusting for age, lesion volume, Glasgow Coma Scale, and osmotic medications. Results: Of 53 patients with 74 CT images, 26 (49.1%) were female, and median age was 67 years. MLS-SP and PGS were greater in patients with IPH, compared to patients with ischemic stroke (6.2 v. 4.0 mm, 5.6 v. 3.4 mm, respectively). We found no significant associations between pupil reactivity and the radiographic markers of shift when adjusting for confounders. However, we found potentially relevant relationships between MLS-SP and Diff NPi in our IPH cohort (ß = 0.11, SE 0.04, P = 0.01), and PGS and Diff NPi in the ischemic stroke cohort (ß = 0.16, SE 0.09, P = 0.07). Conclusion: We found the relationship between midline shift and asymmetric pupil reactivity may differ between IPH and ischemic stroke. Our study may serve as necessary preliminary data to guide further prospective investigation into how clinical manifestations of radiographic midline shift differ by diagnosis and proximity to the midbrain.

Dexmedetomidine and Other Analgosedatives Alter Pupil Characteristics in Critically Ill Patients.

In critically ill patients with neurologic disease, pupil examination abnormalities can signify evolving intracranial pathology. Analgesic and sedative medications (analgosedatives) target pupillary pathways, but it remains unknown how analgosedatives alter pupil findings in the clinical care setting. We assessed dexmedetomidine and other analgosedative associations with pupil reactivity and size in a heterogeneous cohort of critically ill patients with acute intracranial pathology. DESIGN: Retrospective cohort study. SETTING: Two neurologic ICUs between 2016 and 2018. PATIENTS: Critically ill adult patients with pupil measurements within 60 minutes of analgosedative administration. Patients with a history of intrinsic retinal pathology, extracranial injury, inaccessible brain imaging, or no Glasgow Coma Scale (GCS) data were excluded. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We used mixed-effects linear regression accounting for intrapatient correlations and adjusting for sex, age, GCS score, radiographic mass effect, medication confounders, and ambient light. We tested the association between an initiation or increased IV infusion of dexmedetomidine and pupil reactivity (Neurologic Pupil Index [NPi]) and resting pupil size (mm) obtained using NeurOptics NPi-200 (NeurOptics, Irvine, CA) pupillometer. Of our 221 patients with 9,897 pupil observations (median age, 60 [interquartile range, 50-68]; 59% male), 37 patients (166 pupil observations) were exposed to dexmedetomidine. Dexmedetomidine was associated with higher average NPi (ß = 0.18 per 1 unit increase in rank-normalized NPi ± 0.04; p < 0.001) and smaller pupil size (ß = -0.25 ± 0.05; p < 0.001). Exploratory analyses revealed that acetaminophen was associated with higher average NPi (ß = 0.04 ± 0.02; p = 0.02) and that most IV infusion analgosedatives including propofol, fentanyl, and midazolam were associated with smaller pupil size. CONCLUSIONS: Dexmedetomidine is associated with higher pupil reactivity (high NPi) and smaller pupil size in a cohort of critically ill patients with neurologic injury. Familiarity with expected pupil changes following analgosedative administration is important for accurate interpretation of pupil examination findings, facilitating optimal management of patients with acute intracranial pathology.

Natural Language Processing of Radiology Reports to Detect Complications of Ischemic Stroke.

BACKGROUND: Abstraction of critical data from unstructured radiologic reports using natural language processing (NLP) is a powerful tool to automate the detection of important clinical features and enhance research efforts. We present a set of NLP approaches to identify critical findings in patients with acute ischemic stroke from radiology reports of computed tomography (CT) and magnetic resonance imaging (MRI). METHODS: We trained machine learning classifiers to identify categorical outcomes of edema, midline shift (MLS), hemorrhagic transformation, and parenchymal hematoma, as well as rule-based systems (RBS) to identify intraventricular hemorrhage (IVH) and continuous MLS measurements within CT/MRI reports. Using a derivation cohort of 2289 reports from 550 individuals with acute middle cerebral artery territory ischemic strokes, we externally validated our models on reports from a separate institution as well as from patients with ischemic strokes in any vascular territory. RESULTS: In all data sets, a deep neural network with pretrained biomedical word embeddings (BioClinicalBERT) achieved the highest discrimination performance for binary prediction of edema (area under precision recall curve [AUPRC] > 0.94), MLS (AUPRC > 0.98), hemorrhagic conversion (AUPRC > 0.89), and parenchymal hematoma (AUPRC > 0.76). BioClinicalBERT outperformed lasso regression (p < 0.001) for all outcomes except parenchymal hematoma (p = 0.755). Tailored RBS for IVH and continuous MLS outperformed BioClinicalBERT (p < 0.001) and linear regression, respectively (p < 0.001). CONCLUSIONS: Our study demonstrates robust performance and external validity of a core NLP tool kit for identifying both categorical and continuous outcomes of ischemic stroke from unstructured radiographic text data. Medically tailored NLP methods have multiple important big data applications, including scalable electronic phenotyping, augmentation of clinical risk prediction models, and facilitation of automatic alert systems in the hospital setting.

Anisocoria and Poor Pupil Reactivity by Quantitative Pupillometry in Patients With Intracranial Pathology.

OBJECTIVES: To describe the prevalence and associated risk factors of new onset anisocoria (new pupil size difference of at least 1 mm) and its subtypes: new onset anisocoria accompanied by abnormal and normal pupil reactivities in patients with acute neurologic injuries. DESIGN: We tested the association of patients who experienced new onset anisocoria subtypes with degree of midline shift using linear regression. We further explored differences between quantitative pupil characteristics associated with first-time new onset anisocoria and nonnew onset anisocoria at preceding observations using mixed effects logistic regression, adjusting for possible confounders. SETTING: All quantitative pupil observations were collected at two neuro-ICUs by nursing staff as standard of care. PATIENTS: We conducted a retrospective two-center study of adult patients with intracranial pathology in the ICU with at least a 24-hour stay and three or more quantitative pupil measurements between 2016 and 2018. MEASUREMENTS AND MAIN RESULTS: We studied 221 patients (mean age 58, 41% women). Sixty-three percent experienced new onset anisocoria. New onset anisocoria accompanied by objective evidence of abnormal pupil reactivity occurring at any point during hospitalization was significantly associated with maximum midline shift (ß = 2.27 per mm; p = 0.01). The occurrence of new onset anisocoria accompanied by objective evidence of normal pupil reactivity was inversely associated with death (odds ratio, 0.34; 95% CI, 0.16-0.71; p = 0.01) in adjusted analyses. Subclinical continuous pupil size difference distinguished first-time new onset anisocoria from nonnew onset anisocoria in up to four preceding pupil observations (or up to 8 hr prior). Minimum pupil reactivity between eyes also distinguished new onset anisocoria accompanied by objective evidence of abnormal pupil reactivity from new onset anisocoria accompanied by objective evidence of normal pupil reactivity prior to first-time new onset anisocoria occurrence. CONCLUSIONS: New onset anisocoria occurs in over 60% of patients with neurologic emergencies. Pupil reactivity may be an important distinguishing characteristic of clinically relevant new onset anisocoria phenotypes. New onset anisocoria accompanied by objective evidence of abnormal pupil reactivity was associated with midline shift, and new onset anisocoria accompanied by objective evidence of normal pupil reactivity had an inverse relationship with death. Distinct quantitative pupil characteristics precede new onset anisocoria occurrence and may allow for earlier prediction of neurologic decline. Further work is needed to determine whether quantitative pupillometry sensitively/specifically predicts clinically relevant anisocoria, enabling possible earlier treatments.

Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports.

Accurate, automated extraction of clinical stroke information from unstructured text has several important applications. ICD-9/10 codes can misclassify ischemic stroke events and do not distinguish acuity or location. Expeditious, accurate data extraction could provide considerable improvement in identifying stroke in large datasets, triaging critical clinical reports, and quality improvement efforts. In this study, we developed and report a comprehensive framework studying the performance of simple and complex stroke-specific Natural Language Processing (NLP) and Machine Learning (ML) methods to determine presence, location, and acuity of ischemic stroke from radiographic text. We collected 60,564 Computed Tomography and Magnetic Resonance Imaging Radiology reports from 17,864 patients from two large academic medical centers. We used standard techniques to featurize unstructured text and developed neurovascular specific word GloVe embeddings. We trained various binary classification algorithms to identify stroke presence, location, and acuity using 75% of 1,359 expert-labeled reports. We validated our methods internally on the remaining 25% of reports and externally on 500 radiology reports from an entirely separate academic institution. In our internal population, GloVe word embeddings paired with deep learning (Recurrent Neural Networks) had the best discrimination of all methods for our three tasks (AUCs of 0.96, 0.98, 0.93 respectively). Simpler NLP approaches (Bag of Words) performed best with interpretable algorithms (Logistic Regression) for identifying ischemic stroke (AUC of 0.95), MCA location (AUC 0.96), and acuity (AUC of 0.90). Similarly, GloVe and Recurrent Neural Networks (AUC 0.92, 0.89, 0.93) generalized better in our external test set than BOW and Logistic Regression for stroke presence, location and acuity, respectively (AUC 0.89, 0.86, 0.80). Our study demonstrates a comprehensive assessment of NLP techniques for unstructured radiographic text. Our findings are suggestive that NLP/ML methods can be used to discriminate stroke features from large data cohorts for both clinical and research-related investigations.

Factors influencing sexual functions in Turkish female patients with migraine.

OBJECTIVES: Recent studies have shown a more frequent occurrence of sexual dysfunction in patients with headache. The aim of this study was to assess the effects of demographic and clinical characteristics and psychiatric symptoms on sexual dysfunction in Turkish female patients with migraine. METHODS: In all, 18 sexually active patients with episodic migraine (EM), 12 patients with chronic migraine (CM), and 22 healthy controls of similar age were enrolled in the study. A numeric rating scale was administered to assess pain intensity. The psychiatric symptoms and sexual function of all of the participants were evaluated using the Beck depression and anxiety scales and the Golombok-Rust Inventory of Sexual Satisfaction (GRISS). RESULTS: The mean GRISS subscale scores did not differ significantly between the migraine groups and the control group (all p values <0.05). A positive correlation was found between the duration of headache and GRISS subscales of noncommunication, dissatisfaction, vaginismus, and anorgasmia in EM patients. In addition, there was a negative correlation with the infrequency and avoidance subscales. No correlation was detected between the GRISS subscale scores and the demographic and clinical characteristics of the patients with CM, with the exception of the level of education. Higher pain intensity scores and the presence of anxiety or depression among the EM and CM patients significantly affected all of the subscale scores of the sexual function inventory. CONCLUSION: Although there was no relationship between migraine chronicity and sexual dysfunction, our data indicated that patient demographic characteristics, greater pain severity, and comorbidities of depression or anxiety were associated with greater sexual dysfunction among patients with EM and CM.

The impact of parental attitudes toward children with primary headaches.

There is a lack of data on parental attitudes toward children with primary headaches. The aim of this study is to determine whether there is a relationship between primary headaches and parental attitudes in the pre-adolescent pediatric population. In this cross-sectional study, 195 children with primary headache and 43 healthy children aged 9-16 years were included. A questionnaire for sociodemographic variables, visual analog scale (VAS), Social Anxiety Scale and Depression Inventory for Adolescents and Children, and Parental Attitudes Determining Scale (PATS), which is an attitude measure specifically designed to evaluate psychological adjustment, were administered. Of 195 children (female/male ratio: 89/106, mean age: 12.59 ± 1.09 years), episodic migraine (n = 90), chronic migraine (n = 25), and tension-type headache (n = 80) were evaluated. There was no significant difference among headache groups and healthy subjects in terms of depression, anxiety, and fathers' attitude scale scores. However, there were significant differences in mean mothers' attitude scale scores and VAS scores (p = .002, p = .000). Mean oppressive-authoritarian attitude subscale scores of mothers' was significantly higher in children with chronic migraine (p = .000). A relationship between depression and VAS scores among all patient groups was detected (p = .000). Parental age was negatively related to PATS scores of children with episodic migraine and tension-type headache (p = .037 and p = .036). Parental attitudes may elevate psychiatric symptoms and influence children's perception of pain intensity and result in chronification of headache. Our findings support that mothers' attitude toward children with chronic migraine has strong impacts on the child's pain experience.