Telemedicine for evaluation of retinopathy of prematurity

Vision on wheels: Technician-assisted retinopathy of prematurity screening in rural Tamil Nadu and Andhra Pradesh: 2018-2021 Project Report

AIM

To analyze the incidence of sight-threatening retinopathy of prematurity (ROP) in premature infants in rural Tamil Nadu and Andhra Pradesh from 2018 to 2021, and to analyze its association with birthweight (BW), gestational age (GA), and postconceptional age (PCA).

METHODS

Project Vision on Wheels is a free ROP screening and treatment program initiated by a tertiary eye care center in South India in June 2018 to screen preterm infants in rural areas in 11 centers in Tamil Nadu and Andhra Pradesh by trained technicians. Infants with sight-threatening ROP were immediately shifted for vision-preserving laser.

RESULTS

Of the 18,117 infants screened from 2018 to 2021, 1046 infants underwent laser, with the majority being bigger and more mature when compared to Western data. There was a yearly increase in the number of infants with sight-threatening ROP in the lower BW, GA, and PCA categories. The timely detection of the condition by committed screening led to salvage of vision by timely laser in 100% of the treated babies in all the years. The incidence of sight-threatening ROP had a yearly decrease in higher BW, GA, and PCA categories. These trends were statistically significant ( P = 0.001 for ROP and BW, P = 0.037 for ROP and GA, and P = 0.001 for ROP and PCA).

CONCLUSION

The statistically significant trend of decreasing sight-threatening ROP in babies with higher BW, GA, and PCA and increasing treatable ROP in younger and smaller babies (with lower BWs, GAs, and PCAs) in rural India, over time, is a hitherto unreported finding. This is the first such study in rural Tamil Nadu and Andhra Pradesh combined, with the largest data to date (as per MEDLINE search) to document this healthier trend.

Outcome of real-time telescreening for retinopathy of prematurity using videoconferencing in a community setting in Eastern India

PURPOSE

To evaluate the feasibility and outcome of a real-time retinopathy of prematurity (ROP) telescreening strategy using videoconferencing in a community setting in India.

METHOD

In a prospective study, trained allied ophthalmic personnel obtained the fundus images in the presence of the parents and local childcare providers. Analysis of images and parental counseling were done in real time by an ROP specialist located at a tertiary center using videoconferencing software. A subset of babies was also examined using bedside indirect ophthalmoscopy by an ROP care-trained ophthalmologist. The data were analyzed using descriptive statistics, sensitivity, specificity, positive and negative predictive values, and correlation coefficient.

RESULTS

Over 9 months, we examined 576 babies (1152 eyes) in six rural districts of India. The parents accepted the model as they recognized that a remotely located specialist was evaluating all images in real time. The strategy saved the travel time for ROP specialists by 477 h (47.7 working days) and for parents (47,406 h or 1975.25 days), along with the associated travel cost. In a subgroup analysis (100 babies, 200 eyes), the technology had a high sensitivity (97.2%) and negative predictivity value (92.7%). It showed substantial agreement (k = 0.708) with the bedside indirect ophthalmoscopy by ROP specialists with respect to the detection of treatment warranting ROP. Also, the strategy helped train the participants.

CONCLUSION

Real-time ROP telescreening using videoconferencing is sensitive enough to detect treatment warranting ROPs and saves skilled workforce and time. The real-time audiovisual connection allows optimal supervision of imaging, provides excellent training opportunities, and connects ophthalmologists directly with the parents.

Early Single-Examination Optical Coherence Tomography Biomarkers for Treatment-Requiring Retinopathy of Prematurity

Purpose

Optical coherence tomography (OCT) is an emerging adjunct imaging modality to evaluate retinopathy of prematurity (ROP). From an 11-year research database, we identify early OCT biomarkers that predict treatment-requiring ROP (TR-ROP).

Methods

For preterm infants with acceptable OCT images at 32 ± 1 weeks postmenstrual age (PMA), we extracted the following measures: total retina, inner retinal layer (IRL), and outer retinal layer (ORL) thicknesses at the fovea and the parafovea, inner nuclear layer (INL) and choroidal thickness, parafovea/fovea (P/F) ratio, and presence of macular edema. Using univariable and multivariable logistic regression models, we evaluated the association between retinal and choroidal OCT measurements at 32 ± 1 weeks PMA and development of TR-ROP.

Results

Of 277 eyes (145 infants) with usable OCT images, 67 eyes had TR-ROP. Lower P/F ratio (P < 0.0001), thicker foveal IRL (P = 0.0001), and thinner choroid (P = 0.03) were associated with TR-ROP in univariable analysis, but lost significance of association when adjusted for gestational age and race. Absence of macular edema was associated with TR-ROP when adjusted for gestational age and race (P = 0.01). In 185 eyes without macular edema, P/F ratio was associated with TR-ROP in both univariable analysis (P < 0.0001) and multivariable analysis (P = 0.02) with adjustment for gestational age and race.

Conclusions

Presence of macular edema at 32 ± 1 weeks PMA in infants with lower gestational age may be protective against TR-ROP. In infants without macular edema, P/F ratio may be an early OCT biomarker for development of TR-ROP. Incorporation of early OCT biomarkers may be useful in prediction of TR-ROP.

Relative yield of retinal imaging versus clinical exam in following neovascular exudative age related macular degeneration

PURPOSE

To compare therapeutic decisions between 3 diagnostic protocols and to assess the need for in-person physical doctor-patient encounter in follow up and treatment of neovascular exudative age-related macular degeneration (AMD).

METHODS

Analysis of 88 eyes of 88 unique patients with neovascular AMD who were routinely followed at our medical retina clinic. A retinal specialist reviewed all images in advance and wrote his decisions. He later attended an in-person encounters with all patients and documented his decisions. Masking was done by not exposing any identifying information to the specialist and by randomizing patient's images order before the in-person encounter. Therapeutic decisions regarding intravitreal injections intervals and agent selection were made based on three protocols: (1) optic coherence tomography (OCT); (2) OCT/Ultra-widefield (UWF) color image; (3) OCT/UWF/full clinical exam. Visual acuity (VA) was incorporated into all protocols.

RESULTS

We found an agreement of 93% between those protocols regarding the intervals of injections, and of 100% regarding injection agent selection. When comparing OCT, OCT/UWF and OCT/UWF/clinical exam guided decision making, there were no discrepancies between OCT and OCT/UWF. There were 6 out of 88 discrepancies (7%) between OCT/UWF and OCT/UWF/clinical exam. Of those 6 discrepancies, all were regarding intervals (Bland-Altman bias = - 0.2386). All discrepancies between OCT/UWF and OCT/UWF/Clinical exam were due to patients' preferences, socioeconomic issues and fellow eye considerations, addressed during the face-to-face encounter with patients. Physical examination itself did not affect decision making.

CONCLUSIONS

Neovascular exudative AMD follow up and treatment decisions can be guided by VA and OCT, with UWF adding important information regarding macula and peripheral retina, but rarely affecting decision making. However, decision making may also be driven by patients' preferences and other considerations that are being made only during the face-to-face visit and discussion. Thus, every approach supporting imaging only decision making, must take these factors into account.

Vasoactive peptides as biomarkers for the prediction of retinopathy of prematurity

BACKGROUND

Retinopathy of prematurity (ROP) is a major complication in preterm infants. We assessed if plasma levels of midregional pro-atrial natriuretic peptide (MR-proANP) and C-terminal pro-endothelin-1 (CT-proET1) serve as early markers for subsequent ROP development in preterm infants <32 weeks gestation.

METHODS

Prospective, two-centre, observational cohort study. MR-proANP and CT-proET1 were measured on day seven of life. Associations with ROP ≥ stage II were investigated by univariable and multivariable logistic regression models.

RESULTS

We included 224 infants born at median (IQR) 29.6 (27.1-30.8) weeks gestation and birth weight of 1160 (860-1435) g. Nineteen patients developed ROP ≥ stage II. MR-proANP and CT-proET1 levels were higher in these infants (median (IQR) 864 (659-1564) pmol/L and 348 (300-382) pmol/L, respectively) compared to infants without ROP (median (IQR) 299 (210-502) pmol/L and 196 (156-268) pmol/L, respectively; both P < 0.001). MR-proANP and CT-proET1 levels were significantly associated with ROP ≥ stage II in univariable logistic regression models and after adjusting for co-factors, including gestational age and birth weight z-score.

CONCLUSIONS

MR-proANP and CT-proET1 measured on day seven of life are strongly associated with ROP ≥ stage II in very preterm infants and might improve early prediction of ROP in the future.

IMPACT

Plasma levels of midregional pro-atrial natriuretic peptide and C-terminal pro-endothelin-1 measured on day seven of life in very preterm infants show a strong association with development of retinopathy of prematurity ≥ stage II. Both biomarkers have the potential to improve early prediction of retinopathy of prematurity. Vasoactive peptides might allow to reduce the proportion of screened infants substantially.

Diagnostic Accuracy of Pediatrician-performed Digital Retinal Imaging with 3nethra neo for ROP Screening

OBJECTIVES

To evaluate the accuracy of pediatrician-performed wide-field digital retinal imaging (WFDRI) for diagnosing Retinopathy of prematurity (ROP), as compared to binocular indirect ophthalmoscopy (BIO) as the reference standard.

METHODS

Eligible infants undergoing ROP screening were enrolled consecutively. BIO was performed by trained ophthalmologists, followed by WFDRI (using "3nethra neo" camera) by a pediatrician. An expert pediatric ophthalmologist reviewed de-identified images for quality, presence, and severity of ROP. She was masked to the findings of BIO and the pediatrician. Diagnostic accuracy for detecting any ROP, ROP requiring treatment (Type 1), and ROP requiring referral (Type 1 or 2) were calculated for WFDRI, considering BIO as the reference standard.

RESULTS

The analysis included 427 eyes. The sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic accuracy, and diagnostic odds ratio of WFDRI were 0.88 (95% CI: 0.81, 0.93), 0.89 (0.85, 0.92), 7.8 (5.7, 10.9), 0.14 (0.09, 0.21), 0.89 (0.85, 0.91), and 58.3 (31, 110) respectively for detection of 'any ROP'. For detecting ROP requiring treatment (Type 1), the sensitivity, specificity, NLR, and diagnostic accuracy were 0.90 (0.75, 0.97), 1.00 (0.99, 1.00), 0.11 (0.04, 0.27), and 0.99 (0.98, 1.00) respectively. For ROP requiring referral, the sensitivity, specificity, NLR, and diagnostic accuracy of pediatrician-performed WFDRI were 0.92 (0.80, 0.98), 1.00 (0.99, 1.00), 0.08 (0.03, 0.21), and 0.99 (0.98, 1.00) respectively. No serious adverse events were noted. The pediatrician and ophthalmologist had a near-perfect (k-1.00) and strong (k-0.88) agreement for ROP requiring treatment and any ROP, respectively.

CONCLUSIONS

Pediatrician-performed WFDRI is feasible, safe, and has excellent diagnostic accuracy for identifying ROP requiring treatment.

Identifying, Understanding, and Addressing Disparities in Glaucoma Care in the United States

Glaucoma is the leading cause of irreversible blindness worldwide, currently affecting around 80 million people. Glaucoma prevalence is rapidly rising in the United States due to an aging population. Despite recent advances in the diagnosis and treatment of glaucoma, significant disparities persist in disease detection, management, and outcomes among the diverse patient populations of the United States. Research on disparities is critical to identifying, understanding, and addressing societal and healthcare inequalities. Disparities research is especially important and impactful in the context of irreversible diseases such as glaucoma, where earlier detection and intervention are the primary approach to improving patient outcomes. In this article, we first review recent studies identifying disparities in glaucoma care that affect patient populations based on race, age, and gender. We then review studies elucidating and furthering our understanding of modifiable factors that contribute to these inequities, including socioeconomic status (particularly age and education), insurance product, and geographic region. Finally, we present work proposing potential strategies addressing disparities in glaucoma care, including teleophthalmology and artificial intelligence. We also discuss the presence of non-modifiable factors that contribute to differences in glaucoma burden and can confound the detection of glaucoma disparities.

Translational Relevance

By recognizing underlying causes and proposing potential solutions, healthcare providers, policymakers, and other stakeholders can work collaboratively to reduce the burden of glaucoma and improve visual health and clinical outcomes in vulnerable patient populations.

Photographic Gel Artifact Simulating International Classification of Retinopathy of Prematurity Notch: Stanford University Network for Diagnosis of Retinopathy of Prematurity (SUNDROP) Report no. 16

PURPOSE

To report a series of fundus photographs taken for retinopathy of prematurity (ROP) screening that contain artifacts with imaging characteristics mimicking a notch, a recently refined classification metric in the International Classification of Retinopathy of Prematurity, third edition.

DESIGN

Retrospective case series.

PARTICIPANTS

Infants requiring ROP screening in neonatal intensive care units from the Stanford University Network for Diagnosis of Retinopathy of Prematurity (SUNDROP) and TeleROP telemedicine screening programs.

METHODS

Preterm infants meeting ROP examination criteria were screened with 130° wide-angle imaging systems. The images were taken by a trained nurse in the neonatal intensive care unit and transferred to an ROP specialist using a Health Insurance Portability and Accountability Act-compliant picture archiving and communication system for interpretation.

MAIN OUTCOME MEASURES

Presence of an artifact that appeared consistent with a notch.

RESULTS

We identified a total of 17 cases in ROP screening with artifact findings that had imaging characteristics similar to a notch. The artifactual appearance of the pseudo-notch was created by the camera illumination system within the gel-lens interface when the lens was not well apposed to the cornea. In telemedicine screening for ROP, we present fundus images of eyes with a pseudo-notch appearance; review of overlapping images can help differentiate between notch and artifact.

CONCLUSIONS

Pediatric retinal specialists need to be aware that artifacts play a confounding role in screening for ROP, that can be mitigated through the use of overlapping and redundant images.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found after the references.

Use of Telemedicine in Pediatric Ophthalmology in the Underserved Population

Access to pediatric eye care is critical in diagnosing and treating eye disease promptly to prevent visual impairment. The demand for pediatric ophthalmology is high, even in developed countries, and significant socioeconomic disparities exist in access to care. The purpose of this article is to summarize the current literature on the use of telemedicine in pediatric ophthalmology in the underserved population and to identify areas of opportunity. A detailed literature review was performed in PubMed and Google Scholar on October 1, 2021. All articles in English that described the use of telemedicine in pediatric ophthalmology, with particular attention to the underserved pediatric population, were included. There is a paucity of literature on the visual outcomes from pediatric teleophthalmology alone, and even less in underserved populations specifically. Literature supports its use in subacute to chronic eye disease, return and postoperative visits, and screening for retinopathy in prematurity in particular. Collaboration between pediatric optometrists and pediatric ophthalmologists for both asynchronous and synchronous care delivery models has shown promise in several studies. It is essential to operate within the limits of pediatric teleophthalmology and utilize this valuable service for its strengths. Telemedicine may expand access to pediatric ophthalmologists in underserved populations and may reduce the burden of eye disease.

[Telemedical support of feto-neonatal care in one region - Part II: Structural requirements and areas of application in neonatology]

Telemedical infrastructure for patient assessment, care and follow-up as well as interdisciplinary exchange can contribute to ensuring patient care that is close to home and meets the highest quality standards, even outside specialised centres. In neonatology, synchronous audio-visual communication across institutions has been used for many years, especially in the Anglo-American countries. Areas of application include extended neonatal primary care and resuscitation, specific diagnostic applications, e.g. ROP screening and echocardiography, as well as parental care, regular telemedical ward rounds and further training of medical staff, especially using simulation training. For the implementation of such telemedical infrastructures, certain organisational, medical-legal and technical requirements for hardware, software and structural and process organisation must be met. The concrete realisation of a telemedical infrastructure currently being implemented for the region of Eastern Saxony is demonstrated here using the example of the Saxony Center for feto/neonatal Health (SCFNH). Within the framework of feto-neonatal competence networks such as the SCFNH, the quality of medical care, patient safety and satisfaction in a region can be increased by means of a comprehensive, well-structured and established telemedical infrastructure.

ROP screening with the Pictor Plus camera: a telemedicine solution for developing countries

PURPOSE

To assess the Pictor Plus portable noncontact ophthalmic camera for use in diagnosis of severe retinopathy of prematurity (ROP) and its feasibility for telemedicine applications, especially in developing countries.

METHODS

A cross-sectional study was conducted from April 2018 to December 2019 in six public neonatal care centers in the state of Rio de Janeiro. Observer 1 performed the examination with a binocular indirect ophthalmoscope and subsequently captured a digital image using the Pictor Plus camera. These images were analyzed by observers 2 and 3, who were masked to the results recorded by observer 1.

RESULTS

The convenience sample was 200 premature newborns (n = 712 eyes) with a birthweight of ≤1,500 g or gestational age at birth of ≤32 weeks. The sensitivity of Pictor Plus digital images for the diagnosis of plus or pre-plus disease was 65.8% for observer 2 and 63.2% for observer 3; the specificity, 100% and 98,4%, respectively. Interobserver agreement analysis for image reading compared to observer 1 indirect ophthalmoscopy showed kappa coefficients of 0.77 (observer 2) and 0.68 (observer 3).

CONCLUSIONS

In our study cohort, the Pictor Plus, a relatively low-cost camera, was effective in facilitating accurate diagnosis of ROP.

Multicenter study assessing physicians' and transport teams' attitudes and expectations about utilizing telemedicine to manage critical neonatal transports

BACKGROUND

Managing critically ill neonates has unique challenges, and the transport team plays an important role in stabilizing and facilitating the transfer of these neonates from lower-level nurseries to tertiary centers, and the use of telemedicine in transport (tele-transport) can potentially benefit patient care. We conducted a multicenter study to assess the readiness for utilizing telemedicine as an adjunct to guide the care of critically ill neonates among physicians and transport team members (TTMs). This is the first multicenter study that explored physicians' and TTMs' perceptions of telemedicine usage and its value in neonatal transport.

METHODS

A confidential, voluntary survey on pre-implementation attitudes toward telemedicine usage during neonatal transport was conducted as part of a quality improvement initiative. This survey involved physicians and TTMs from four academic institutions whose responses were entered into an online survey using REDCap®. The survey inquired about satisfaction with the current practice of phone consultation and the perception of using telemedicine to optimize the management of neonates during transport.

RESULTS 

The overall response rate for the survey was 60.1%; 82 of 127 (64.6%) physicians and 64 of 116 (55.2%) TTMs responded to the surveys. Half of the physicians and less than one-fourth of the TTMs had prior experience with telemedicine other than that used on neonatal transport. TTMs expressed greater concern about the inconvenience of video (55% vs. physicians 35% agree or strongly agree) and its time consumption (84% vs. physicians 50%). More than 70% of physicians and less than half of TTMs endorsed the potential for added value and quality improvement with video capability. Almost half of TTMs reported concern about video calls reducing their autonomy in patient care. Physicians expressed confidence in management decisions they would make after video calls (72% confident or very confident) and less confidence (49%) about both the phone assessment by TTMs and their decisions based on phone assessment. In contrast, TTMs were confident or very confident (94%) in both sharing their assessment over the phone and executing patient management after a phone call, compared with 70% for decisions made after video calls.

CONCLUSIONS 

Physicians and TTMs had distinct opinions on the use of telemedicine during neonatal transport. Physicians were more likely than TTMs to agree with statements about the potential for improving quality of care, while TTMs were more likely than physicians to say video calls would be time-consuming and inconvenient. We speculate some differences may stem from the TTMs' concern about losing their autonomy. Therefore, during implementation, it is critical for physicians and TTMs to agree on a shared mental model of indications for telemedicine during transport and its value to the patient care.

Development and Validation of a Deep Learning Model to Predict the Occurrence and Severity of Retinopathy of Prematurity

Importance

Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Prediction of ROP before onset holds great promise for reducing the risk of blindness.

Objective

To develop and validate a deep learning (DL) system to predict the occurrence and severity of ROP before 45 weeks' postmenstrual age.

Design, Setting, and Participants

This retrospective prognostic study included 7033 retinal photographs of 725 infants in the training set and 763 retinal photographs of 90 infants in the external validation set, along with 46 characteristics for each infant. All images of both eyes from the same infant taken at the first screening were labeled according to the final diagnosis made between the first screening and 45 weeks' postmenstrual age. The DL system was developed using retinal photographs from the first ROP screening and clinical characteristics before or at the first screening in infants born between June 3, 2017, and August 28, 2019.

Exposures

Two models were specifically designed for predictions of the occurrence (occurrence network [OC-Net]) and severity (severity network [SE-Net]) of ROP. Five-fold cross-validation was applied for internal validation.

Main Outcomes and Measures

Area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity to evaluate the performance in ROP prediction.

Results

This study included 815 infants (450 [55.2%] boys) with mean birth weight of 1.91 kg (95% CI, 1.87-1.95 kg) and mean gestational age of 33.1 weeks (95% CI, 32.9-33.3 weeks). In internal validation, mean AUC, accuracy, sensitivity, and specificity were 0.90 (95% CI, 0.88-0.92), 52.8% (95% CI, 49.2%-56.4%), 100% (95% CI, 97.4%-100%), and 37.8% (95% CI, 33.7%-42.1%), respectively, for OC-Net to predict ROP occurrence and 0.87 (95% CI, 0.82-0.91), 68.0% (95% CI, 61.2%-74.8%), 100% (95% CI, 93.2%-100%), and 46.6% (95% CI, 37.3%-56.0%), respectively, for SE-Net to predict severe ROP. In external validation, the AUC, accuracy, sensitivity, and specificity were 0.94, 33.3%, 100%, and 7.5%, respectively, for OC-Net, and 0.88, 56.0%, 100%, and 35.3%, respectively, for SE-Net.

Conclusions and Relevance

In this study, the DL system achieved promising accuracy in ROP prediction. This DL system is potentially useful in identifying infants with high risk of developing ROP.

Cost-effectiveness of Artificial Intelligence-Based Retinopathy of Prematurity Screening

Importance

Artificial intelligence (AI)-based retinopathy of prematurity (ROP) screening may improve ROP care, but its cost-effectiveness is unknown.

Objective

To evaluate the relative cost-effectiveness of autonomous and assistive AI-based ROP screening compared with telemedicine and ophthalmoscopic screening over a range of estimated probabilities, costs, and outcomes.

Design, Setting, and Participants

A cost-effectiveness analysis of AI ROP screening compared with ophthalmoscopy and telemedicine via economic modeling was conducted. Decision trees created and analyzed modeled outcomes and costs of 4 possible ROP screening strategies: ophthalmoscopy, telemedicine, assistive AI with telemedicine review, and autonomous AI with only positive screen results reviewed. A theoretical cohort of infants requiring ROP screening in the United States each year was analyzed.

Main Outcomes and Measures

Screening and treatment costs were based on Current Procedural Terminology codes and included estimated opportunity costs for physicians. Outcomes were based on the Early Treatment of ROP study, defined as timely treatment, late treatment, or correctly untreated. Incremental cost-effectiveness ratios were calculated at a willingness-to-pay threshold of $100 000. One-way and probabilistic sensitivity analyses were performed comparing AI strategies to telemedicine and ophthalmoscopy to evaluate the cost-effectiveness across a range of assumptions. In a secondary analysis, the modeling was repeated and assumed a higher sensitivity for detection of severe ROP using AI compared with ophthalmoscopy.

Results

This theoretical cohort included 52 000 infants born 30 weeks' gestation or earlier or weighed 1500 g or less at birth. Autonomous AI was as effective and less costly than any other screening strategy. AI-based ROP screening was cost-effective up to $7 for assistive and $34 for autonomous screening compared with telemedicine and $64 and $91 compared with ophthalmoscopy in the primary analysis. In the probabilistic sensitivity analysis, autonomous AI screening was more than 60% likely to be cost-effective at all willingness-to-pay levels vs other modalities. In a second simulated cohort with 99% sensitivity for AI, the number of late treatments for ROP decreased from 265 when ROP screening was performed with ophthalmoscopy to 40 using autonomous AI.

Conclusions and Relevance

AI-based screening for ROP may be more cost-effective than telemedicine and ophthalmoscopy, depending on the added cost of AI and the relative performance of AI vs human examiners detecting severe ROP. As AI-based screening for ROP is commercialized, care must be given to appropriately price the technology to ensure its benefits are fully realized.

Comparing the diagnostic accuracy of telemedicine utilization versus in-person clinical examination for retinopathy of prematurity in premature infants: a systematic review

PURPOSE

To synthesize the literature assessing the diagnostic accuracy of telemedicine evaluation compared with clinical examination for retinopathy of prematurity (ROP) in premature infants.

METHODS

Covidence software was used to conduct a systematic literature search from September 14, 2020, through September 27, 2020, on MEDLINE (Ovid), EMBASE (Ovid), CINAHL, and the gray literature to identify studies relevant to telemedicine utilization for ROP detection. After duplicate removal and two-levels of screening, studies comparing telemedicine evaluation with binocular indirect ophthalmoscopic examination were included. Risk of bias assessment was conducted for the included studies following data extraction. A qualitative review was performed to summarize estimates of accuracy of ROP evaluation by telemedicine.

RESULTS

A total of 507 studies were reviewed, of which 323 were found in EMBASE, 115 in MEDLINE, and 79 in CINAHL. Three possibly relevant conference abstracts were found. Following duplicate removal, 410 studies were reviewed based on titles and abstracts. Subsequently, 19 articles were thoroughly examined, and 14 studies (2,655 participants) were included. Most studies found that telemedicine performance for detecting ROP was comparable to ophthalmic examination, especially with regard to identifying treatment-requiring ROP.

CONCLUSIONS

Telemedicine evaluation can reliably detect ROP. Incorporation of telemedicine into conventional neonatal care has the potential to improve access to ROP care.

Developing portable widefield fundus camera for teleophthalmology: Technical challenges and potential solutions

A portable, low cost, widefield fundus camera is essential for developing affordable teleophthalmology. However, conventional trans-pupillary illumination used in traditional fundus cameras limits the field of view (FOV) in a snapshot image, and frequently requires pharmacologically pupillary dilation for reliable examination of eye conditions. This minireview summarizes recent developments in alternative illumination approaches for widefield fundus photography. Miniaturized indirect illumination has been used to enable compact design for developing low cost, portable, widefield fundus camera. Contact mode trans-pars-planar illumination has been validated for ultra-widefield fundus imaging of infant eyes. Contact-free trans-pars-planar illumination has been explored for widefield imaging of adult eyes. Trans-palpebral illumination has been also demonstrated in a smartphone-based widefield fundus imager to foster affordable teleophthalmology.

Assessment and management of retinopathy of prematurity in the era of anti-vascular endothelial growth factor (VEGF)

The incidence of retinopathy of prematurity (ROP) continues to rise due to the improved survival of very low birth weight infants in developed countries. This epidemic is also fueled by increased survival of preterm babies with variable use of oxygen and a lack of ROP awareness and screening services in resource-limited regions. Improvements in technology and a basic understanding of the disease pathophysiology have changed the way we screen and manage ROP, educate providers and patients, and improve ROP awareness. Advancements in imaging techniques, expansion of telemedicine services, and the potential for artificial intelligence-assisted ROP screening programs have created opportunities to improve ROP care in areas with a shortage of ophthalmologists trained in ROP. To address the gap in provider knowledge regarding ROP, the Global Education Network for Retinopathy of Prematurity (GEN-ROP) created a web-based tele-education training module that can be used to educate all providers involved in ROP, including non-physician ROP screeners. Over the past 50 years, the treatment of severe ROP has evolved from limited treatment modalities to cryotherapy and laser photocoagulation. More recently, there has been growing evidence to support the use of anti-vascular endothelial growth factor (VEGF) agents for the treatment of severe ROP. However, VEGF is known to be important in organogenesis and microvascular maintenance, and given that intravitreal anti-VEGF treatment can result in systemic VEGF suppression over a period of at least 1-12 weeks, there are concerns regarding adverse effects and long-term ocular and systemic developmental consequences of anti-VEGF therapy. Future research in ophthalmology to address the growing burden of ROP should focus on cost-effective fundus imaging devices, implementation of artificial intelligence platforms, updated treatment algorithms with optimal use of anti-VEGF and careful investigation of its long-term effects, and surgical options in advanced ROP. Addressing these unmet needs will aid the global effort against the ROP epidemic and optimize our understanding and treatment of this blinding disease.

Simulating Telehealth Experiences in the Neonatal Care Environment: Improving Access to Care

Telehealth in the neonatal environment can improve remote medical care and access to specialized care and training eliminating barriers for effective health care delivery. Clinicians are utilizing telehealth in their practice to provide specialized care and training in areas that have little access. Educating health care clinicians on the basics of telehealth is an essential component of clinical training programs. Use of simulation-based telehealth experiences as part of that training can provide hands-on learning in a safe, realistic environment. Simulation can prepare health care teams in using telehealth technology in managing patient care, postdischarge care, and specialized care programs.

A brief history of telemedicine and the evolution of teleneonatology

Over a century of innovations in technology and medical care have led to the current day capabilities in telemedicine. In this chapter, we discuss the evolution of telemedicine over the last century and highlight various applications in neonatal care. We hope this chapter demonstrates the exponential adoption of telemedicine, particularly in neonatology, and the breadth and depth of the technology being used.

Socioeconomics of retinopathy of prematurity screening and treatment in the United States

BACKGROUND

Retinopathy of prematurity (ROP) screening, an integral part of pediatric ophthalmology, can be time consuming and resource intensive. The purpose of this study was to evaluate the economic landscape of ROP screening and treatment among pediatric ophthalmologists in the United States.

METHODS

An online survey was distributed to US pediatric ophthalmologists through a pediatric ophthalmology email listserv. Survey results were compiled, and responses were deidentified and analyzed, with particular focus on factors affecting financial compensation.

RESULTS

A total of 97 responses were collected. Almost half of respondents worked in private practice settings. Over 80% of respondents had a formal contract to perform ROP care, but only 26% enlisted the assistance of an attorney to negotiate their contract. Just over half of respondents believed themselves adequately compensated for their services. Respondents that had retained an attorney for contractual negotiations were more likely to have a higher mean annual compensation rate ($126,545 ± $145,133 vs $70,214 ± $50,671; P = 0.05). Physicians who believed themselves adequately compensated were more likely to be in academic practice settings (78% academic vs 55% combo/other vs 24% private; P < 0.001) and were more likely to have contracts to perform ROP care (68% with contracts vs 15% without; P = 0.001). Average annual compensation was $82,968 ± $84,132, approximately $24,000 higher than reported in 2013.

CONCLUSIONS

More pediatric ophthalmologists among our respondents obtained contracts for their services, and compensation rates have increased since 2013. Nevertheless, concerns regarding under-compensation and time commitment persist, raising concerns about the long-term sustainability of current models for providing ROP services.

Use of Telemedicine for subspecialty support in the NICU setting

The regionalization of neonatal care was implemented with an overarching goal to improve neonatal outcomes.¹ This led to centralized neonatal care in urban settings that jeopardized the sustainability of the community level 2 and level 3 Neonatal Intensive Care Units (NICU) in medically underserved areas.² Coupled with pediatric subspecialist and allied health professional workforce shortages, regionalization resulted in disparate and limited access to subspecialty care.^3-6 Innovative telemedicine technologies may offer an alternative and powerful care model for infants in geographically isolated and underserved areas. This chapter describes how telemedicine offerings of remote pediatric subspecialty and specialized programs may bridge gaps of access to specialized care and maintain the clinical services in community NICUs.

Preterm Infant Stress During Handheld Optical Coherence Tomography vs Binocular Indirect Ophthalmoscopy Examination for Retinopathy of Prematurity

Importance

Binocular indirect ophthalmoscopy (BIO) examination for retinopathy of prematurity (ROP) is a well-known cause of repeated preterm infant stress.

Objective

To compare stress during investigational optical coherence tomography (OCT) imaging to that during BIO for ROP.

Design, Setting, and Participants

This cross-sectional study examined infants at the bedside in the intensive care nursery. Consecutive preterm infants enrolled in Study of Eye Imaging in Preterm Infants (BabySTEPS) who had any research OCT imaging as part of the study. Patients were recruited from June to November 2019, and analysis began April 2020.

Main Outcomes and Measures

Infant stress was measured using modified components of a neonatal pain assessment tool before (baseline) and during OCT imaging and BIO examination of each eye.

Results

For 71 eye examinations of 16 infants (mean [SD] gestational age, 27 [3] weeks; birth weight, 869 [277] g), change from baseline to each eye examination was lower during OCT imaging than during BIO and the difference between OCT imaging and BIO at each eye examination was significant for the following: infant cry score (first eye examination: mean [SD], 0.03 [0.3] vs 1.68 [1.2]; -1.65 [95% CI, -1.91 to -1.39]; second eye examination: mean [SD], 0.1 [0.3] vs 1.97 [1.2]; -1.87 [95% CI, -2.19 to -1.54]), facial expression (first eye: 3 [4%] vs 59 [83%]; -79% [95% CI, -87% to -72%]; second eye: 4 [6%] vs 61 [88%]; -83% [95% CI, -89% to -76%]), and heart rate (first eye: mean [SD], -7 [16] vs 13 [18]; -20 [95% CI, -26 to -14]); second eye: mean [SD], -3 [18] vs 20 [20] beats per minute; -23 [95% CI, -29 to -18]) (P < .001 for all). Change in respiratory rate and oxygen saturation did not differ between OCT imaging and BIO.

Conclusions and Relevance

While the role of OCT alone or in combination with BIO is currently unknown for ROP, these findings suggest that investigational OCT imaging of ROP is less stressful than BIO examination by a trained ophthalmologist.

A Service Coverage Analysis of Primary Congenital Glaucoma Care Across the United States

PURPOSE

To assess the number of infants at risk of delayed primary congenital glaucoma (PCG) evaluation due to long travel times to specialists.

DESIGN

Cross-sectional geospatial service coverage analysis.

METHODS

All American Glaucoma Society (AGS) and American Association for Pediatric Ophthalmology and Strabismus (AAPOS) provider locations were geocoded using each organization's member directory. Sixty-minute drive time regions to providers were generated using ArcGIS Pro (Esri). The geographic intersection of AGS and AAPOS service areas was computed because patients typically require visits to both types of specialists. American Community Survey data were then overlaid to estimate the number of infants within and beyond the AGS/AAPOS service areas.

RESULTS

One thousand twenty-nine AGS and 1,040 AAPOS provider locations were geocoded. The analysis yielded 944,047 infants age 0-1 year (23.6%) who live beyond the AGS/AAPOS service areas. Therefore, approximately 14-94 new PCG cases/year may be at risk of delayed diagnosis as a result of living in a potential service desert. Compared with children living within the AGS/AAPOS service areas, children aged <6 years in these potential service deserts were more likely to live in households earning below the US federal poverty level, lack health insurance, and live in a single-parent home. These communities are disproportionately likely to experience other rural health disparities and are more prevalent across the Great Plains.

CONCLUSION

Service coverage analysis is a useful tool for identifying underserved regions for PCG referrals and evaluation. These data may assist in targeting screening programs in low access areas for pediatric glaucoma care.

Retinopathy of prematurity screening and risk mitigation during the COVID-19 pandemic

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has significantly disrupted the delivery of healthcare. Although most nonurgent ophthalmology visits at Boston Children's Hospital were canceled, premature infants at risk for retinopathy of prematurity (ROP) still required timely, in-person care during the initial 3-month period of the infection surge in Massachusetts. The purpose of the current study was to report our protocols for mitigating risk of exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) between infants and eye care providers and to compare examination rates and results with the same 3-month period in 2019.

METHODS

During the infection surge, we added new infection control measures and strengthened existing ones. Additional personal protective equipment was used, and the number of ophthalmologists rotating in the three high-capacity NICUs we service was limited.

RESULTS

More infants required ROP examinations during the study period in 2020 than in the same period in 2019, but fewer examinations were performed. There were no cases of missed progression to severe ROP during this time and no known transmission of SARS-CoV-2 between ROP patients and ophthalmology staff.

CONCLUSIONS

Overall, effective ROP care was safely provided during the COVID-19 pandemic, and contact with this vulnerable population was minimized.

COVID-19 Launches Retinal Telemedicine into the Next Frontier

INTRODUCTION

Telemedicine in ophthalmology, and specifically in retinal diseases, has made significant advancements in recent years. The COVID-19 pandemic has launched telehealth into a new era by creating demand from patients and physicians alike, while breaking down previous insurance, reimbursement, access and educational barriers.

METHODS

This paper reviews mulitple studies demonstrating the use of telemedicine in managing various retinal conditions before and during the COVID-19 pandemic.

CONCLUSION

Moving forward, promising new devices and models of care ensure that tele-retinal care will continue to expand and become a vital part of how we screen, diagnose and monitor retinal diseases.

Current Application of Digital Diagnosing Systems for Retinopathy of Prematurity

BACKGROUND AND OBJECTIVE

Retinopathy of prematurity (ROP), a proliferative vascular eye disease, is one of the leading causes of blindness in childhood and prevails in premature infants with low-birth-weight. The recent progress in digital image analysis offers novel strategies for ROP diagnosis. This paper provides a comprehensive review on the development of digital diagnosing systems for ROP to software researchers. It may also be adopted as a guide to ophthalmologists for selecting the most suitable diagnostic software in the clinical setting, particularly for the remote ophthalmic support.

METHODS

We review the latest literatures concerning the application of digital diagnosing systems for ROP. The diagnosing systems are analyzed and categorized. Articles published between 1998 and 2020 were screened with the two searching engines Pubmed and Google Scholar.

RESULTS

Telemedicine is a method of remote image interpretation that can provide medical service to remote regions, and yet requires training to local operators. On the basis of image collection in telemedicine, computer-based image analytical systems for ROP were later developed. So far, the aforementioned systems have been mainly developed by virtue of classic machine learning, deep learning (DL) and multiple machine learning. During the past two decades, various computer-aided systems for ROP based on classic machine learning (e.g. RISA, ROPtool, CAIER) became available and have achieved satisfactory performance. Further, automated systems for ROP diagnosis based on DL are developed for clinical applications and exhibit high accuracy. Moreover, multiple instance learning is another method to establish an automated system for ROP detection besides DL, which, however, warrants further investigation in future.

CONCLUSION

At present, the incorporation of computer-based image analysis with telemedicine potentially enables the detection, supervision and in-time treatment of ROP for the preterm babies.

Implementing Telemedicine Visits in an Underserved Ophthalmology Clinic in the COVID-19 Era

Introduction:

Many of the potential barriers to providing telehealth services already disproportionately impact vulnerable populations. The purpose of this study was to assess the incorporation of synchronous ophthalmology telemedicine visits in a tertiary university-based ophthalmology clinic for low-income and uninsured patients in the COVID-19 era.

Methods:

The records of 18 patients who were due for an in-person visit in the medically underserved patient clinic at our institute were reviewed. Patients considered high risk of ocular morbidity progression were approved to proceed with an in-person visit. Patients with non-urgent visit indications were attempted to be contacted by telephone to be offered a telemedicine telephone visit as an alternative to a postponed in-person office visit.

Results:

Clinical triage by an attending ophthalmologist determined that 17 patients (94.4%, n = 18) had visit indications appropriate for evaluation by telemedicine. Six patients (35.3%, n = 17) were successfully contacted and offered a telemedicine visit as an alternative to a postponed in-person office visit. All 6 patients accepted, scheduled, and completed a telemedicine visit. Eleven patients (64.7%, n = 17) were not able to be successfully contacted to offer and schedule either a telemedicine visit or a postponed in-person office visit. Patients who were not able to be successfully contacted were on average younger in age and more likely to be female, Hispanic/Latino, from Latin America, with a preferred language of Spanish.

Conclusions:

Synchronous ophthalmology telemedicine visits can be successfully incorporated in a tertiary university-based setting for low-income and uninsured patients. The primary barrier to providing telemedicine visits in this population was the ability to successfully contact patients to offer and schedule these visits.

Cost-Utility Analysis of Wide-Field Imaging as an Auxiliary Technology for Retinopathy of Prematurity Care in Brazil

Purpose: To evaluate the cost-utility of wide-field imaging (WFI) as a complementary technology for retinopathy of prematurity (ROP) screening from the Brazilian Unified Health System's perspective. Introduction: ROP is one of the leading causes of avoidable childhood blindness worldwide, especially in middle-income countries. The current ROP screening involves indirect binocular ophthalmoscopy (IBO) by ROP expert ophthalmologists. However, there is still insufficient ROP screening coverage. An alternative screening strategy is the combination of WFI with IBO. Methods: A cost-utility analysis was performed using a deterministic decision-tree simulation model to estimate incremental cost-utility for ROP care. Two screening strategies were compared: (1) IBO and (2) combination of WFI of all eligible preterm infants and IBO for type 2 ROP or worse and for non-readable images. Eligible population included preterm infants <32 weeks of gestational age or birth weight equal to or <1,500 g. The temporal horizon was lifetime. Visual outcome data was converted to utility, and the health benefits were estimated on quality-adjusted life-years (QALY). Incremental cost per QALY gained was calculated from the health system perspective. Costs were estimated considering equipment, maintenance, consumables, and staff. A micro-costing approach was used for WFI. Two technician nurses were trained for imaging execution and had their time evaluated. Two ROP expert ophthalmologists had their time evaluated for imaging reading. One-way sensitivity analysis and probabilistic sensitivity analysis were performed. Results: Combined screening strategy resulted in a cost-effective program considering 90% ROP screening coverage. Costs per examination: (1) screening with IBO: US dollar (US $) 34.36; (2) screening with combination: US $58.20; (3) laser treatment: US $642.09; (4) long-term follow-up: ranged from US $69.33 to 286.91, based on the infant's visual function. Incremental cost per QALY gained was US $1,746.99/QALY per infant screened with the combination strategy. One-way sensitivity analysis resulted in cost-effectiveness for all parameters. Probabilistic sensitivity analyses yielded a 100% probability of combination being cost-effective in a willingness-to-pay threshold of US $1,800/QALY. Conclusion: The combined strategy for ROP screening was cost-effective. It enhances access for appropriate ROP care in middle-income countries and dminishes opportunity costs for ophthalmologists.

Integrating Telemedicine Services in Ophthalmology: Evaluating Patient Interest and Perceived Benefits

PURPOSE

The purpose of this study was to assess patient interest and willingness to pay (WTP) for teleophthalmology services, whose benefits include improved healthcare access and potential cost savings.

PATIENTS AND METHODS

Cross-sectional study of 215 patients attending a single tertiary center to assess their interest in teleophthalmology. Comparisons between those interested and those not interested were conducted; logistic regression was used to evaluate the effect of price on interest.

RESULTS

Two thirds (66.5%) of patients were interested in teleophthalmology instead of in-person clinic visits. Those interested were significantly younger than uninterested patients (48.8±22.7 vs 62.4±18.3 years) and were more likely to miss work to attend clinic, own both a computer and smartphone, have experience with video conferencing, and use the internet frequently (all P<0.05). Interested patients were also more likely to indicate time and cost savings, as well as improved follow-up testing, compared to uninterested patients (both P<0.001). Overall, 70.4% of interested patients expressed WTP out-of-pocket for teleservices, especially at low (<$14 US dollars) and moderate-high (>$28) price points. Higher level of education was associated with WTP (OR=2.31, 95% CI 1.05-5.06; P=0.037).

CONCLUSION

Most patients were interested in teleophthalmology services, especially if they were young, would otherwise miss work, and were familiar with electronics, video conferencing, and internet use. Most interested patients expressed WTP out-of-pocket. Targeting factors related to teleophthalmology interest may increase patient use and enhance communication, thereby improving healthcare access and follow-up.

Thresholds of glycemia, insulin therapy, and risk for severe retinopathy in premature infants: A cohort study

BACKGROUND

Hyperglycemia in preterm infants may be associated with severe retinopathy of prematurity (ROP) and other morbidities. However, it is uncertain which concentration of blood glucose is associated with increased risk of tissue damage, with little consensus on the cutoff level to treat hyperglycemia. The objective of our study was to examine the association between hyperglycemia and severe ROP in premature infants.

METHODS AND FINDINGS

In 2 independent, monocentric cohorts of preterm infants born at <30 weeks' gestation (Nantes University Hospital, 2006-2016, primary, and Lyon-HFME University Hospital, 2009-2017, validation), we first analyzed the association between severe (stage 3 or higher) ROP and 2 markers of glucose exposure between birth and day 21-maximum value of glycemia (MaxGly1-21) and mean of daily maximum values of glycemia (MeanMaxGly1-21)-using logistic regression models. In both the primary (n = 863 infants, mean gestational age 27.5 ± 1.4 weeks, boys 52.5%; 38 with severe ROP; 54,083 glucose measurements) and the validation cohort (n = 316 infants, mean gestational age 27.4 ± 1.4 weeks, boys 51.3%), MaxGly1-21 and MeanMaxGly1-21 were significantly associated with an increased risk of severe ROP: odds ratio (OR) 1.21 (95% CI 1.14-1.27, p < 0.001) and OR 1.70 (95% CI 1.48-1.94, p < 0.001), respectively, in the primary cohort and OR 1.17 (95% CI 1.05-1.32, p = 0.008) and OR 1.53 (95% CI 1.20-1.95, p < 0.001), respectively, in the validation cohort. These associations remained significant after adjustment for confounders in both cohorts. Second, we identified optimal cutoff values of duration of exposure above each concentration of glycemia between 7 and 13 mmol/l using receiver operating characteristic curve analyses in the primary cohort. Optimal cutoff values for predicting stage 3 or higher ROP were 9, 6, 5, 3, 2, 2, and 1 days above a glycemic threshold of 7, 8, 9, 10, 11, 12, and 13 mmol/l, respectively. Severe exposure was defined as at least 1 exposure above 1 of the optimal cutoffs. Severe ROP was significantly more common in infants with severe exposure in both the primary (10.9% versus 0.6%, p < 0.001) and validation (5.2% versus 0.9%, p = 0.030) cohorts. Finally, we analyzed the association between insulin therapy and severe ROP in a national population-based prospectively recruited cohort (EPIPAGE-2, 2011, n = 1,441, mean gestational age 27.3 ± 1.4, boys 52.5%) using propensity score weighting. Insulin use was significantly associated with severe ROP in overall cohort crude analyses (OR 2.51 [95% CI 1.13-5.58], p = 0.024). Adjustment for inverse propensity score (gestational age, sex, birth weight percentile, multiple birth, spontaneous preterm birth, main pregnancy complications, surfactant therapy, duration of oxygen exposure between birth and day 28, digestive state at day 7, caloric intake at day 7, and highest glycemia during the first week) and duration of oxygen therapy had a large but not significant effect on the association between insulin treatment and severe ROP (OR 0.40 [95% CI 0.13-1.24], p = 0.106). Limitations of this study include its observational nature and, despite the large number of patients included compared to earlier similar studies, the lack of power to analyze the association between insulin use and retinopathy.

CONCLUSIONS

In this study, we observed that exposure to high glucose concentration is an independent risk factor for severe ROP, and we identified cutoff levels that are significantly associated with increased risk. The clinical impact of avoiding exceeding these thresholds to prevent ROP deserves further evaluation.

Portable ultra-widefield fundus camera for multispectral imaging of the retina and choroid

Multispectral imaging (MSI) of the retina and choroid has increasing interest for better diagnosis and treatment evaluation of eye diseases. However, currently available MSI systems have a limited field of view (FOV) to evaluate the peripheral retina. This study is to validate trans-pars-planar illumination for a contact-mode ultra-widefield MSI system. By freeing the available pupil for collecting imaging light only, the trans-pars-planar illumination enables a portable, non-mydriatic fundus camera, with 200° FOV in a single fundus image. The trans-pars-planar illumination, delivering illumination light from one side of the eye, naturally enables oblique illumination ophthalmoscopy to enhance the contrast of fundus imaging. A broadband (104 nm) 565 nm light-emitting diode (LED) is used for validating color fundus imaging first. Four narrowband (17-60 nm) 530 nm, 625 nm, 780 nm, and 970 nm LEDs are tested for MSI. With 530 nm illumination, the fundus image reveals retinal vasculature predominantly. 625 nm and 780 nm illuminations enhance the visibility of choroidal vasculature. With further increased wavelength of 970 nm, the fundus image is predominated by large veins in the choroid, with multiple vortex ampullas observed simultaneously in a single fundus image.

Harnessing Telemedicine for the Provision of Health Care: Bibliometric and Scientometric Analysis

Background

In recent decades, advances in information technology have given new momentum to telemedicine research. These advances in telemedicine range from individual to population levels, allowing the exchange of patient information for diagnosis and management of health problems, primary care prevention, and education of physicians via distance learning.

Objective

This scientometric investigation aims to examine collaborative research networks, dominant research themes and disciplines, and seminal research studies that have contributed most to the field of telemedicine. This information is vital for scientists, institutions, and policy stakeholders to evaluate research areas where more infrastructural or scholarly contributions are required.

Methods

For analyses, we used CiteSpace (version 4.0 R5; Drexel University), which is a Java-based software that allows scientometric analysis, especially visualization of collaborative networks and research themes in a specific field.

Results

We found that scholarly activity has experienced a significant increase in the last decade. Most important works were conducted by institutions located in high-income countries. A discipline-specific shift from radiology to telestroke, teledermatology, telepsychiatry, and primary care was observed. The most important innovations that yielded a collaborative influence were reported in the following medical disciplines, in descending order: public environmental and occupational health, psychiatry, pediatrics, health policy and services, nursing, rehabilitation, radiology, pharmacology, surgery, respiratory medicine, neurosciences, obstetrics, and geriatrics.

Conclusions

Despite a continuous rise in scholarly activity in telemedicine, we noticed several gaps in the literature. For instance, all the primary and secondary research central to telemedicine was conducted in the context of high-income countries, including the evidence synthesis approaches that pertained to implementation aspects of telemedicine. Furthermore, the research landscape and implementation of telemedicine infrastructure are expected to see exponential progress during and after the COVID-19 era.

Evaluation of real-time video from the digital indirect ophthalmoscope for telemedicine consultations in retinopathy of prematurity

Introduction

This study aimed to evaluate the validity of using real-time video indirect ophthalmoscopy for telemedicine consultations for paediatric retinal findings, using retinopathy of prematurity (ROP) as a model disease.

Methods

An ophthalmologist simultaneously performed and recorded routine ROP screenings on enrolled premature infants (aged ≤30 weeks and weighing <1500 g) using the Keeler digital indirect ophthalmoscope. Examinations were graded as no ROP, mild, type 1 or type 2. Masked to clinical findings, another ophthalmologist reviewed and graded streamed video feed transmitted at 4096 kbps. We compared the sensitivity and specificity of diagnosing ROP via streamed and stored-and-forwarded video clips to the gold-standard in-person examination.

Results

A total of 150 examinations of individual eyes from 34 babies were included. The median postmenstrual age (PMA) at delivery was 24 weeks (range 23–34 weeks), the median birth weight was 630 g (range 455–1530 g) and the median PMA at examination was 37 weeks (range 31–54 weeks). Of those infants with any ROP, the sensitivity and specificity of streamed examinations were 100% and 70.6%, respectively. For type 2 or worse ROP, the sensitivity and specificity were 92.5% and 86.1%, respectively. For type 1 ROP, the sensitivity and specificity were 100% and 99.3%, respectively. Sensitivities (unless already 100%) and specificities were slightly higher for store-and-forward evaluations.

Discussion

Streamed video feed from the digital indirect ophthalmoscope can be utilised to diagnose clinically significant ROP accurately, though store-and-forward video review yielded slightly better results.

Development of Screening Criteria for Retinopathy of Prematurity in Ulaanbaatar, Mongolia, Using a Web-based Data Management System

PURPOSE

To describe a process for identifying birth weight (BW) and gestational age (GA) screening guidelines in Mongolia.

METHODS

This was a prospective cohort study in a tertiary care hospital in Ulaanbataar, Mongolia, of 193 premature infants with GA of 36 weeks or younger and/or BW of 2,000 g or less) with regression analysis to determine associations between BW and GA and the development of retinopathy of prematurity (ROP).

RESULTS

As BW and GA decreased, the relative risk of developing ROP increased. The relative risk of developing any stage of ROP in infants born at 29 weeks or younger was 2.91 (95% CI: 1.55 to 5.44; P < .001] compared to older infants. The relative risk of developing any type of ROP in infants with BW of less than 1,200 g was 2.41 (95% CI: 1.35 to 4.29; P = .003] and developing type 2 or worse ROP was 2.05 (95% CI: 0.99 to 4.25; P = .05).

CONCLUSIONS

Infants in Mongolia with heavier BW and older GA who fall outside of current United States screening guidelines of GA of 30 weeks or younger and/or BW of 1,500 g or less developed clinically relevant ROP. [J Pediatr Ophthalmol Strabismus. 2020;57(5):333-339.].

Retinopathy of Prematurity: How to Prevent the Third Epidemics in Developing Countries

Retinopathy of prematurity (ROP) is vasoproliferative disease affecting preterm infants and is a leading cause of avoidable childhood blindness worldwide. The world is currently experiencing the third epidemic of ROP, where majority of the cases are from middle-income countries. Over 40% of the world's premature infants were born in India, China, Bangladesh, Pakistan, and Indonesia. Together with other neighboring nations, this region has unique challenges in ROP management. Key aspects of the challenges including heavier and more mature infants developing severe ROP. Current strategies include adoption of national screening guidelines, telemedicine, integrating vision rehabilitation and software innovations in the form of artificial intelligence. This review overviews some of these aspects.

The Role of Telemedicine to Alleviate an Increasingly Burdened Healthcare System: Retinopathy of Prematurity

Telemedicine-based remote digital fundus imaging (RDFI-TM) offers a promising platform for the screening of retinopathy of prematurity. RDFI-TM addresses some of the challenges faced by ophthalmologists in examining this vulnerable population in both low- and high-income countries. In this review, we studied the evidence on the use of RDFI-TM and analyzed the practical framework for RDFI-TM systems. We assessed the novel technological advances that can be deployed within RDFI-TM systems including noncontact imaging systems, smartphone-based imaging tools, and deep learning algorithms.

Comparison of wide field imaging by nurses with indirect ophthalmoscopy by ophthalmologists for retinopathy of prematurity: a diagnostic accuracy study

OBJECTIVES

Retinopathy of prematurity (ROP) is a vasoproliferative disease of the preterm retina with the potential to cause irreversible blindness. Timely screening and treatment of ROP are critical. Neonatal nurses trained in wide field digital retinal photography (WFDRP) for screening may provide a safe and effective strategy to reduce the burden of ophthalmologists in performing binocular indirect ophthalmoscopy (BIO). The objective of the study was to determine the diagnostic accuracy of WFDRP in the diagnosis of referral warranting ROP (RWROP).

DESIGN

Prospective diagnostic accuracy study.

SETTING

A tertiary neonatal intensive care unit in Perth, Western Australia.

PARTICIPANTS

Preterm infants who fulfilled the Australian ROP screening criteria (gestational age (GA) <31 weeks, birth weight (BW) <1250 g).

INTERVENTION

Sets of 5-6 images per eye (index test) were obtained within 24-48 hours prior to or after the BIO (reference standard), and uploaded onto a secured server. A wide field digital camera (RetCam, Natus, Pleasanton, California, USA) was used for imaging. A paediatric ophthalmologist performed the BIO. The ophthalmologists performing BIO versus reporting the images were masked to each other's findings.

PRIMARY OUTCOME

The area under the receiver operating characteristic (ROC) curve was used as a measure of accuracy of WFDRP to diagnose RWROP.

RESULTS

A total of 85 infants (mean BW; 973.43 g, mean GA; 29 weeks) underwent a median of two sessions of WFDRP. There were 188 episodes of screening with an average of five images per eye. WFDRP identified RWROP in 7.4% (14/188 sessions) of examinations. In one infant, BIO showed bilateral plus disease and WFDRP did not pick up the plus disease. WFDRP image interpretation had a sensitivity of 80%, specificity of 94.5% for the detection of RWROP. The 'area under the ROC curve' was 88% when adjusted for covariates.

CONCLUSIONS

WFDRP by neonatal nurses was feasible and effective for diagnosing RWROP in our set up.

TRIAL REGISTRATION NUMBER

ACTRN12616001386426.

Workforce Shortage for Retinopathy of Prematurity Care and Emerging Role of Telehealth and Artificial Intelligence

Retinopathy of prematurity (ROP) is the leading cause of childhood blindness in very-low-birthweight and very preterm infants in the United States. With improved survival of smaller babies, more infants are at risk for ROP, yet there is an increasing shortage of providers to screen and treat ROP. Through a literature review of new and emerging technologies, screening criteria, and analysis of a national survey of pediatric ophthalmologists and retinal specialists, the authors found the shortage of ophthalmology workforce for ROP a serious and growing concern. When used appropriately, emerging technologies have the potential to mitigate gaps in the ROP workforce.

Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis

BACKGROUND

Diabetic retinopathy (DR) is one of the leading causes of blindness globally. Earlier detection and timely treatment of DR are desirable to reduce the incidence and progression of vision loss. Currently, deep learning (DL) approaches have offered better performance in detecting DR from retinal fundus images. We, therefore, performed a systematic review with a meta-analysis of relevant studies to quantify the performance of DL algorithms for detecting DR.

METHODS

A systematic literature search on EMBASE, PubMed, Google Scholar, Scopus was performed between January 1, 2000, and March 31, 2019. The search strategy was based on the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines, and DL-based study design was mandatory for articles inclusion. Two independent authors screened abstracts and titles against inclusion and exclusion criteria. Data were extracted by two authors independently using a standard form and the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was used for the risk of bias and applicability assessment.

RESULTS

Twenty-three studies were included in the systematic review; 20 studies met inclusion criteria for the meta-analysis. The pooled area under the receiving operating curve (AUROC) of DR was 0.97 (95%CI: 0.95-0.98), sensitivity was 0.83 (95%CI: 0.83-0.83), and specificity was 0.92 (95%CI: 0.92-0.92). The positive- and negative-likelihood ratio were 14.11 (95%CI: 9.91-20.07), and 0.10 (95%CI: 0.07-0.16), respectively. Moreover, the diagnostic odds ratio for DL models was 136.83 (95%CI: 79.03-236.93). All the studies provided a DR-grading scale, a human grader (e.g. trained caregivers, ophthalmologists) as a reference standard.

CONCLUSION

The findings of our study showed that DL algorithms had high sensitivity and specificity for detecting referable DR from retinal fundus photographs. Applying a DL-based automated tool of assessing DR from color fundus images could provide an alternative solution to reduce misdiagnosis and improve workflow. A DL-based automated tool offers substantial benefits to reduce screening costs, accessibility to healthcare and ameliorate earlier treatments.

Video-call based newborn triage system for local birth centres can be established without major instalment costs using commercially available smartphones

Neonates often develop transition problems after low-risk birth, precise assessment of which is difficult at primary birth centres. The aim of this study was to assess whether a video triage system can be established without a specially designed communication system between local birth centres and a tertiary neonatal intensive care unit in a region with a population of 700,000. 761 neonates who were referred to a tertiary neonatal intensive care unit were examined. During period 1 (April 2011-August 2015), only a voice call was available for consultations, whereas, during period 2 (September 2015-December 2017), a video call was additionally available. The respiratory condition was assessed based on an established visual assessment tool. A video consultation system was established by connecting personal smartphones at local birth centres with a host computer at a tertiary neonatal intensive care centre. During period 2, video-based triage was performed for 42.4% of 236 consultations at 30 birth centres. Sensitivity and specificity for predicting newborns with critical respiratory dysfunction changed from 0.758 to 0.898 and 0.684 to 0.661, respectively. A video consultation system for ill neonates was established without major instalment costs. Our strategy might improve the transportation system in both high- and low-resource settings.

Telemedicine Follow-Up for Intravitreal Bevacizumab Injection in the Stanford University Network for Diagnosis of Retinopathy of Prematurity (SUNDROP) Cohort

Telemedicine has emerged as a potential solution to face the disproportion between infants that need to be screened for retinopathy of prematurity (ROP) and the lack of ophthalmologists. We evaluated its utility in the follow-up after off-label intravitreal injection of bevacizumab. None of the treated infants ended up with bad anatomic outcome. Telemedicine is an alternative safe method to monitor patients after treatment.

Practice Guidelines for Ocular Telehealth-Diabetic Retinopathy, Third Edition

Contributors The following document and appendices represent the third edition of the Practice Guidelines for Ocular Telehealth-Diabetic Retinopathy. These guidelines were developed by the Diabetic Retinopathy Telehealth Practice Guidelines Working Group. This working group consisted of a large number of subject matter experts in clinical applications for telehealth in ophthalmology. The editorial committee consisted of Mark B. Horton, OD, MD, who served as working group chair and Christopher J. Brady, MD, MHS, and Jerry Cavallerano, OD, PhD, who served as cochairs. The writing committees were separated into seven different categories. They are as follows: 1.Clinical/operational: Jerry Cavallerano, OD, PhD (Chair), Gail Barker, PhD, MBA, Christopher J. Brady, MD, MHS, Yao Liu, MD, MS, Siddarth Rathi, MD, MBA, Veeral Sheth, MD, MBA, Paolo Silva, MD, and Ingrid Zimmer-Galler, MD. 2.Equipment: Veeral Sheth, MD (Chair), Mark B. Horton, OD, MD, Siddarth Rathi, MD, MBA, Paolo Silva, MD, and Kristen Stebbins, MSPH. 3.Quality assurance: Mark B. Horton, OD, MD (Chair), Seema Garg, MD, PhD, Yao Liu, MD, MS, and Ingrid Zimmer-Galler, MD. 4.Glaucoma: Yao Liu, MD, MS (Chair) and Siddarth Rathi, MD, MBA. 5.Retinopathy of prematurity: Christopher J. Brady, MD, MHS (Chair) and Ingrid Zimmer-Galler, MD. 6.Age-related macular degeneration: Christopher J. Brady, MD, MHS (Chair) and Ingrid Zimmer-Galler, MD. 7.Autonomous and computer assisted detection, classification and diagnosis of diabetic retinopathy: Michael Abramoff, MD, PhD (Chair), Michael F. Chiang, MD, and Paolo Silva, MD.

Telemedicine for Retinopathy of Prematurity

Background: Retinopathy of prematurity (ROP) is a disease of the retinal vasculature that remains a leading cause of childhood blindness worldwide despite improvements in the systemic care of premature newborns. Screening for ROP is effective and cost-effective, but in many areas, access to skilled examiners to conduct dilated examinations is poor. Remote screening with retinal photography is an alternative strategy that may allow for improved ROP care. Methods: The current literature was reviewed to find clinical trials and expert consensus documents on the state-of-the-art of telemedicine for ROP. Results: Several studies have confirmed the utility of telemedicine for ROP. In addition, several clinical studies have reported favorable long-term results. Many investigators have reinforced the need for detailed protocols on image acquisition and image interpretation. Conclusions: Telemedicine for ROP appears to be a viable alternative to live ophthalmoscopic examinations in many circumstances. Standardization and documentation afforded by telemedicine may provide additional benefits to providers and their patients. With continued improvements in image quality and affordability of imaging systems as well as improved automated image interpretation tools anticipated in the near future, telemedicine for ROP is expected to play an expanding role for a uniquely vulnerable patient population.

Artificial Intelligence in Retinopathy of Prematurity Diagnosis

Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area demonstrating significant intra- and interexpert subjectivity and disagreement. In addition to improved efficiencies for ROP screening, artificial intelligence may lead to automated, quantifiable, and objective diagnosis in ROP. This review focuses on the development of artificial intelligence for automated diagnosis of plus disease in ROP and highlights the clinical and technical challenges of both the development and implementation of artificial intelligence in the real world.