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2.
BMC Ophthalmol ; 20(1): 121, 2020 Mar 26.
Article in English | MEDLINE | ID: mdl-32216772

ABSTRACT

BACKGROUND: Pupillary evaluation is a crucial element of physical exams. Noting size, reactivity, and consensual response is critical in assessing for optic nerve dysfunction. We aim to establish normative data for scotopic pupillary size and function in the pediatric population in a clinical setting. METHODS: Pupillometry was obtained prospectively for consecutive, normal patients < 18 years old being evaluated by Lurie Children's Ophthalmology. Quantitative data included maximum (MAX) and minimum (MIN) diameters, constriction percentage (CON), latency (LAT), average (ACV) and maximum (MCV) constriction velocities, average dilation velocity (ADV), and 75% recovery time (T75). Iris color was noted as light, intermediate, or dark. RESULTS: 196 eyes of 101 participants (42.6% male, ages 1-17 years, average age 10.3 years) were analyzed. Mean MAX was 6.6 mm (5.1-8.1 mm 95% CI); MIN was 4.7 mm (3.1-6.1 mm 95% CI); CON was 30% (17-42 95% CI); LAT was 230 milliseconds (160-300 ms 95% CI); ACV was 3.70 mm/sec (2.21-5.18 mm/sec 95% CI); and ADV was 0.88 mm/sec (0.38-1.38 mm/sec 95% CI). Age had a positive correlation with MAX, MIN, and CON. 84.2 and 95.8% of participants showed resting pupil asymmetry of ≤0.5 mm and ≤ 1.0 mm, respectively. CONCLUSIONS: Quantitative pupillometry can be a useful tool for screening pediatric patients. We sought to establish normative data in this group. We found males to have significantly greater MCV and CON than females (p < 0.05). Also, age had a positive correlation with MAX, MIN, and CON.


Subject(s)
Iris/anatomy & histology , Pupil/physiology , Reflex, Pupillary/physiology , Adolescent , Child , Child, Preschool , Databases, Factual , Diagnostic Techniques, Ophthalmological/instrumentation , Eye Color/physiology , Female , Humans , Infant , Light , Male , Night Vision/physiology , Normal Distribution , Physical Examination , Prospective Studies
3.
Ophthalmic Genet ; 39(3): 297-299, 2018 06.
Article in English | MEDLINE | ID: mdl-29336629

ABSTRACT

BACKGROUND: Marfan syndrome (MFS) is a genetic disorder that affects multiple organ systems, including the eye. The most common ocular manifestations include ectopia lentis and retinal detachment. The current literature qualitatively cites that MFS patients have miotic or "poorly dilating" pupils. This study was the first to quantitatively assess pupillary function in MFS patients. MATERIALS AND METHODS: 57 eyes from 29 MFS patients, 36 eyes from 18 pediatric age- and gender-matched controls, and 44 eyes from 22 adult age-matched controls were measured in a clinic-based cross sectional study. Pupillometry data were measured in scotopic conditions using the handheld NeurOptics PLR-200™ Pupillometer (NeurOptics, Irvine, CA, USA). Data obtained with the pupillometer were maximum and minimum diameter, constriction percentage, latency, average and maximum constriction velocities, average dilation velocity, and 75% recovery time (T75). RESULTS: Pediatric patients with MFS had significantly slower average constriction velocity measurements (ß = 0.65, p = 0.0003), maximum constriction velocity measurements (ß = 0.51, p = 0.0150) and average dilation velocity measurements (ß = -0.19, p = 0.0029) compared to control patients. In the adult cohort, results indicated significantly slower average dilation velocity measurements (ß = -0.13, p = 0.0077) compared to controls. CONCLUSIONS: Our data highlight pupillary parameters within a population of MFS patients under scotopic conditions. Constriction and dilation velocities were slower in the pediatric MFS patients compared to age- and gender-matched controls, and dilation velocities were slower in the adult MFS patients compared to age-matched controls. These findings, for the first time, quantitatively demonstrated differences in pupillary function in patients with MFS.


Subject(s)
Marfan Syndrome/physiopathology , Pupil/physiology , Adolescent , Adult , Aged , Case-Control Studies , Child , Child, Preschool , Cross-Sectional Studies , Female , Humans , Infant , Male , Middle Aged , Prognosis , Young Adult
4.
J AAPOS ; 20(1): 19-24, 2016 Feb.
Article in English | MEDLINE | ID: mdl-26917066

ABSTRACT

PURPOSE: To describe a novel retinopathy of prematurity (ROP) screening model incorporating birth weight, gestational age, and postnatal weight gain that maintains sensitivity but improves specificity in detecting all grades of ROP compared to current 2013 screening guidelines. METHODS: The medical records of 499 neonates from a single tertiary referral center who met the 2013 screening guidelines for ROP were retrospectively reviewed. Weekly weights were analyzed using standard logistic regression to determine the age at which the weekly net weight gain best predicted the development of ROP, which was designated as the postnatal weight gain criterion. The 2013 birth weight and gestational age criteria were included in an "and" fashion to form the CO-ROP model. Sensitivities and specificities in detecting high grade (type 1 and 2) and all grades of ROP were calculated. RESULTS: The CO-ROP model screens infants with a gestational age at birth of ≤30 weeks and birth weight of ≤1500 g and net weight gain of ≤650 g between birth and 1 month of age. In our cohort, CO-ROP had a sensitivity of 100% (95% CI, 92.1%-100.0%) for high-grade (type 1 and 2) ROP and 96.4% (95% CI, 92.3%-98.7%) for all grades of ROP. It would reduce the number of infants screened by 23.7% compared to 2013 guidelines. Calibrating the model to detect only high-grade ROP would result in a 45.9% reduction in the total number of infants screened. CONCLUSIONS: CO-ROP is a simple model that maintains a statistically similar sensitivity in detecting all grades of ROP while significantly reducing the total number of required ROP screenings compared to 2013 guidelines. The study had a small sample size but shows promise for future research and clinical efforts.


Subject(s)
Birth Weight , Neonatal Screening , Retinopathy of Prematurity/diagnosis , Weight Gain , Algorithms , Colorado , Female , Gestational Age , Humans , Infant, Newborn , Male , Models, Biological , Retinopathy of Prematurity/classification , Retrospective Studies , Risk Factors , Sensitivity and Specificity
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