Prediction of blood pressure variability during thrombectomy using supervised machine learning and outcomes of patients with ischemic stroke from large vessel occlusion.

Mechanical thrombectomy (MT) is the standard of care for patients with acute ischemic stroke from large vessel occlusion (AIS-LVO). The association of blood pressure variability (BPV) during MT and outcomes are unknown. We leveraged a supervised machine learning algorithm to predict patient characteristics that are associated with BPV indices. We performed a retrospective review of our comprehensive stroke center's registry of all adult patients undergoing MT between 01/01/2016 and 12/31/2019. The primary outcome was poor functional independence, defined as 90-day modified Rankin Scale (mRS) ≥ 3. We used probit analysis and multivariate logistic regressions to evaluate the association of patients' clinical factors and outcomes. We applied a machine learning algorithm (random forest, RF) to determine predictive factors for the different BPV indices during MT. Evaluation was performed with root-mean-square error (RMSE) and normalized-RMSE (nRMSE) metrics. We analyzed 375 patients with mean age (± standard deviation [SD]) of 65 (15) years. There were 234 (62%) patients with mRS ≥ 3. Univariate probit analysis demonstrated that BPV during MT was associated with poor functional independence. Multivariable logistic regression showed that age, admission National Institutes of Health Stroke Scale (NIHSS), mechanical ventilation, and thrombolysis in cerebral infarction (TICI) score (OR 0.42, 95% CI 0.17-0.98, P = 0.044) were significantly associated with outcome. RF analysis identified that the interval from last-known-well time-to-groin puncture, age, and mechanical ventilation were among important factors significantly associated with BPV. BPV during MT was associated with functional outcome in univariate probit analysis but not in multivariable regression analysis, however, NIHSS and TICI score were. RF algorithm identified risk factors influencing patients' BPV during MT. While awaiting further studies' results, clinicians should still monitor and avoid high BPV during thrombectomy while triaging AIS-LVO candidates quickly to MT.

Emergency department and transport predictors of neurological deterioration in patients with spontaneous intracranial hemorrhage.

BACKGROUND: Patients with spontaneous intracranial hemorrhage (sICH) and intracranial hypertension are associated with poor outcomes. Blood pressure variability (BPV) and neurological deterioration (ND) are known factors associated with sICH outcomes, but the relationship between BPV and ND in the hyperacute phase remains poorly described. We hypothesized that BPV is associated with ND during patients' initial emergency department (ED) stay and during interhospital transport (IHT) to a tertiary care center. METHODS: A retrospective study of adult patients with sICH was performed. Patients who were transferred from an ED to a tertiary care center between 01/01/2011 and 09/30/2015 and underwent external ventricular drainage were eligible. The outcome was ND at any time before arrival at a tertiary care center. Classification and Regression Tree (CART) analysis, a machine learning algorithm, was used to assign "relative variable importance" (RVI) for important predictive clinical factors. RESULTS: 153 eligible patients were analyzed. Sixty-five (42%) patients developed ND. Maximum ED systolic blood pressure (ED SBPMax) was most predictive of sICH patients developing ND (RVI = 100%). Other important factors for ND included standard deviation in SBP (SBPSD) during ED stay and IHT, with RVI of 43% and 20%, respectively. CONCLUSION: ED SBPMax was the strongest predictive factor of ND, while other BPV components were also significant. Our study found evidence that BPV should be prioritized as it may also increase the risk of ND among patients with sICH who required external ventricular drain placement. Future studies should examine whether fluctuations in BP in an ED or IHT setting are associated with increased risk of worsening outcomes.

Improving Access to Eye Care Through Community Health Screenings Using Artificial Intelligence.

PURPOSE: To the best of our knowledge, implementation of artificial intelligence (AI)-based vision screening in community health fair settings has not been previously studied. This prospective cohort study explored the incorporation of AI in a community health fair setting to improve access to eyecare. METHODS: Vision screening was implemented during a community health fair event using an AI-based non-mydriatic fundus camera. In addition, a questionnaire was provided to survey the various barriers to eyecare and assess eye health literacy. RESULTS: A total of 53 individuals were screened at this event. Notably, about 88% of participants had follow-up appointments scheduled accordingly with an approximate 62% attendance rate. The most reported barrier to eyecare was lack of health insurance followed by transportation. CONCLUSION: The addition of AI-based vision screening in community health fairs may ultimately help improve access to eye care.

Anterior Chamber Depth and Lens Thickness Measurements in Pediatric Eyes: Ultrasound Biomicroscopy Versus Immersion A-Scan Ultrasonography.

OBJECTIVE: To compare anterior chamber depth (ACD) and lens thickness (LT) measurements by ultrasound biomicroscopy (UBM), A-scan cross vector (CV) overlay with UBM, and immersion A-scan technique in pediatric eyes. METHODS: This prospective comparative cohort study comprised 43 eyes of 25 pediatric participants (mean age: 2.3±2.2 y). UBM and immersion A-scan biometry were performed prior to dilation and intraocular surgery. ACD and LT were measured by UBM image analysis, A-scan CV UBM overlay, and immersion A-scan technique. RESULTS: ACD and LT measurements obtained using immersion A-scan were significantly greater than with UBM image analysis with mean differences of 0.52 mm and 0.62 mm, respectively (p < 0.001). Immersion A-scan and UBM measurements were moderately correlated (r = 0.70 and 0.64, p < 0.001). ACD and LT measurements obtained using CV overlay were not significantly different than UBM measurements and the values were strongly positively correlated (r = 0.95 and 0.93, p < 0.001). CONCLUSION: Immersion A-scan may overestimate ACD and LT compared to UBM in pediatric patients due to oblique placement of the A-scan probe relative to the optical axis. Supplemental use of UBM and/or CV overlay is indicated to improve measurement accuracy in pediatric patients who cannot reliably fixate due to the ability to confirm proper alignment of the probe with the pupil by visualizing the anterior segment.

Comparison of angle-to-angle distance and corneal diameter in pediatric eyes using ultrasound biomicroscopy.

OBJECTIVE: To investigate the relationship between corneal diameter and internal corneal span determined from angle-to-angle distance using ultrasound biomicroscopy (UBM) in an observational cross-sectional patient population comprised of 54 eyes (28 healthy control eyes, ages 0.1 to 11.3 years; 26 eyes with primary congenital glaucoma, ages 0.1 to 3.5 years) from 41 pediatric participants ages 0.1 to 11.3 years (mean age: 3±3 years, median age: 2 years). METHODS: Forty cornea photographs with reference ruler and 110 UBM images were obtained. Three observers measured horizontal and vertical corneal diameter and angle-to-angle distance in each cornea photo and UBM image using ImageJ and the average values were used. Main outcome measures were Pearson correlation coefficient, linear regression, mean difference between corneal diameter and angle-to-angle distance, and intra-class correlation coefficients among measurements from all three observers for each parameter. RESULTS: Corneal diameter and angle-to-angle distance had a strong positive correlation horizontally (Pearson r = 0.89, p<0.001) and vertically (r = 0.93, p<0.001). Correlation was consistent regardless of presence of primary congenital glaucoma and participant age. Regression analysis demonstrated a linear relationship between the parameters for horizontal (CD = 0.99*AA+0.28, R2 = 0.81, p<0.001) and vertical (CD = 0.91 *AA+1.32, R2 = 0.85, p<0.001) dimensions. Overall, reliability was good-excellent, ranging from an ICC of 0.76 for vertical corneal diameter to 0.90 for horizontal angle-to-angle distance. CONCLUSIONS: Based on the strong positive correlation found between corneal diameter and angle-to-angle distance in our study population, UBM image analysis can be used to accurately estimate corneal diameter from angle-to-angle distance in children with healthy eyes and primary congenital glaucoma. UBM may provide a useful intraocular alternative for estimating corneal diameter and monitoring diseases that affect the cornea in infants and children, such as congenital glaucoma.

Phthiriasis palpebrarum effectively treated with tea tree oil.

Phthiriasis palpebrarum, also known as crab lice, is a rare eyelash infestation by Pthirus pubis that is often misdiagnosed as common blepharitis, and thus mistreated. Treatment of Phthiriasis palpebrarum is widely variable. Tea tree oil is an essential oil with broad-spectrum anti-microbial therapeutic effects. Notably, however, the role of this agent in Phthiriasis palpebrarum management is unclear. The current article reports a case of phthiriasis palpebrarum effectively treated with tea tree oil.

Surgical Management of Iris Bombe in Muscle-Eye-Brain Disease.

A 2-year-old girl with severe muscular dystrophy presented with unilateral eye pain and corneal clouding. She was found to have absent red reflex, hypotonia, cerebral hypoplasia, and iris bombe on ultrasound biomicroscopy, a feature not previously reported in this syndrome. She responded favorably to surgical management. Iris bombe can be a cause of glaucoma in muscle-eye-brain disease. This highlights the importance of incorporating ultrasound biomicroscopy into the diagnostic algorithm of muscle-eye-brain disease and other types of congenital syndromic glaucoma. [J Pediatr Ophthalmol Strabismus. 2023;60(4):e35-e37.].

Multimodal prenatal and postnatal imaging of microphthalmia with cyst.

Congenital ocular anomalies may be detected on prenatal imaging using fetal ultrasound and magnetic resonance imaging (MRI), although standard prenatal ultrasound for fetal physical development does not currently include ocular and orbital evaluation. We present the case of a male infant born at 39 weeks' gestation with microphthalmia with cyst that was characterized using serial multimodal imaging, including fetal ultrasound and MRI, B-scan ultrasonography, ultrasound biomicroscopy, and postnatal MRI. Multiple prenatal and postnatal imaging modalities yielded comparable evaluations of the ocular and orbital pathology, validating the prenatal assessments.