Dataset Information

Validation of a simple-to-use, affordable, portable, wavefront aberrometry-based auto refractometer in the adult population: A prospective study.

ABSTRACT:

Background

Refraction is one of the key components of a comprehensive eye examination. Auto refractometers that are reliable and affordable can be beneficial, especially in a low-resource community setting. The study aimed to validate the accuracy of a novel wave-front aberrometry-based auto refractometer, Instaref R20 against the open-field system and subjective refraction in an adult population.

Methods

All the participants underwent a comprehensive eye examination including objective refraction, subjective acceptance, anterior and posterior segment evaluation. Refraction was performed without cycloplegia using WAM5500 open-field auto refractometer (OFAR) and Instaref R20, the study device. Agreement between both methods was evaluated using Bland-Altman analysis. The repeatability of the device based on three measurements in a subgroup of 40 adults was assessed.

Results

The refractive error was measured in 132 participants (mean age,30.53 ± 9.36 years, 58.3% female). The paired mean difference of the refraction values of the study device against OFAR was - 0.13D for M, - 0.0002D (J0) and - 0.13D (J45) and against subjective refraction (SR) was - 0.09D (M), 0.06 (J0) and 0.03D (J45). The device agreed within +/- 0.50D of OFAR in 78% of eyes for M, 79% for J0 and 78% for J45. The device agreed within +/- 0.5D of SR values for M (84%), J0 (86%) and J45 (89%).

Conclusion

This study found a good agreement between the measurements obtained with the portable autorefractor against open-field refractometer and SR values. It has a potential application in population-based community vision screening programs for refractive error correction without the need for highly trained personnel.

SUBMITTER: Rao DP

PROVIDER: S-EPMC9764520 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Validation of a simple-to-use, affordable, portable, wavefront aberrometry-based auto refractometer in the adult population: A prospective study.

Rao Divya Parthasarathy DP Negiloni Kalpa K Gurunathan Sivasundaravadivel S Velkumar Selvaraj S Sivaraman Anand A Baig Adeeb Ulla AU Kumari B B Murali Kaushik K

BMC ophthalmology 20221219 1

<h4>Background</h4>Refraction is one of the key components of a comprehensive eye examination. Auto refractometers that are reliable and affordable can be beneficial, especially in a low-resource community setting. The study aimed to validate the accuracy of a novel wave-front aberrometry-based auto refractometer, Instaref R20 against the open-field system and subjective refraction in an adult population.<h4>Methods</h4>All the participants underwent a comprehensive eye examination including obj ...[more]

PMID: 36536321

Similar Datasets

Project description:BackgroundDystrophic epidermolysis bullosa (DEB) is a hereditary disease characterized by increased fragility of the epidermis and mucosa and is accompanied by blister formation following minor trauma. Repeated injuries cause contracture and scar formation, which can further result in hand deformity, leading to a decline in hand ability and a lower quality of life. In this study, after the scar release of patients' hands, we developed a new and practical portable soft support, and evaluated its efficacy in delaying the scar contracture of hands after operation.MethodsAccording to the hand function scores, the patients were divided into two groups. Those with excellent and good grades were assigned to the open hand function group, and those with poor grades were allocated to the restricted hand function group. The primary conditions, the use of a postoperative soft brace, and some common factors in the two groups were compared to determine whether these parameters influence postoperative hand function.ResultsThere were no significant differences in age, gender, body mass index, ADL assessment index, albumin concentration, hemoglobin concentration, fasting blood glucose level, prothrombin time, and activated partial thromboplastin time between the two groups (p > 0.05). In contrast, there was a significant difference between the two groups in the use of soft braces following the operation (p < 0.05). The odds ratio of patients fixed with a brace compared with patients not fixed with soft braces was 11.01.ConclusionsSoft brace is a critical factor impacting the hand function of patients with dystrophic epidermolysis bullosa after scar contracture release in both hands. Indeed, a hand brace worn after the operation can delay the recurrence of scar contracture in both hands and offer patients a longer time to use their hands effectively. In addition, by restoring the appearance of patients' hands and some hand functions, patients' mental state and quality of life have been greatly improved.

Project description:BackgroundAssessment of spine alignment is crucial in the management of scoliosis, but current auto-analysis of spine alignment suffers from low accuracy. We aim to develop and validate a hybrid model named SpineHRNet+, which integrates artificial intelligence (AI) and rule-based methods to improve auto-alignment reliability and interpretability.MethodsFrom December 2019 to November 2020, 1,542 consecutive patients with scoliosis attending two local scoliosis clinics (The Duchess of Kent Children's Hospital at Sandy Bay in Hong Kong; Queen Mary Hospital in Pok Fu Lam on Hong Kong Island) were recruited. The biplanar radiographs of each patient were collected with our medical machine EOS™. The collected radiographs were recaptured using smartphones or screenshots, with deidentified images securely stored. Manually labelled landmarks and alignment parameters by a spine surgeon were considered as ground truth (GT). The data were split 8:2 to train and internally test SpineHRNet+, respectively. This was followed by a prospective validation on another 337 patients. Quantitative analyses of landmark predictions were conducted, and reliabilities of auto-alignment were assessed using linear regression and Bland-Altman plots. Deformity severity and sagittal abnormality classifications were evaluated by confusion matrices.FindingsSpineHRNet+ achieved accurate landmark detection with mean Euclidean distance errors of 2·78 and 5·52 pixels on posteroanterior and lateral radiographs, respectively. The mean angle errors between predictions and GT were 3·18° and 6·32° coronally and sagittally. All predicted alignments were strongly correlated with GT (p < 0·001, R2 > 0·97), with minimal overall difference visualised via Bland-Altman plots. For curve detections, 95·7% sensitivity and 88·1% specificity was achieved, and for severity classification, 88·6-90·8% sensitivity was obtained. For sagittal abnormalities, greater than 85·2-88·9% specificity and sensitivity were achieved.InterpretationThe auto-analysis provided by SpineHRNet+ was reliable and continuous and it might offer the potential to assist clinical work and facilitate large-scale clinical studies.FundingRGC Research Impact Fund (R5017-18F), Innovation and Technology Fund (ITS/404/18), and the AOSpine East Asia Fund (AOSEA(R)2019-06).

Dataset Information

Validation of a simple-to-use, affordable, portable, wavefront aberrometry-based auto refractometer in the adult population: A prospective study.

Background

Methods

Results

Conclusion

Publications

Validation of a simple-to-use, affordable, portable, wavefront aberrometry-based auto refractometer in the adult population: A prospective study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets