Fernando Korn Malerbi1, Amaury Lelis Dal Fabbro2, João Paulo Botelho Vieira Filho3, Laercio Joel Franco4. 1. Department of Ophthalmology, Escola Paulista de Medicina, Federal University of São Paulo, Rua Botucatu, 820, CEP 04023-062, São Paulo, SP, Brazil; Division of Endocrinology, Escola Paulista de Medicina, Federal University of Sao Paulo, Rua Estado de Israel, 639, CEP 04022-001, São Paulo, SP, Brazil. Electronic address: fernandokmalerbi@gmail.com. 2. Department of Social Medicine, Ribeirao Preto Medical School, University of Sao Paulo, Rua Avenida Bandeirantes, 3900, CEP 14049-900, Ribeirão Preto, SP, Brazil. Electronic address: adfabbro@fmrp.usp.br. 3. Division of Endocrinology, Escola Paulista de Medicina, Federal University of Sao Paulo, Rua Estado de Israel, 639, CEP 04022-001, São Paulo, SP, Brazil. 4. Division of Endocrinology, Escola Paulista de Medicina, Federal University of Sao Paulo, Rua Estado de Israel, 639, CEP 04022-001, São Paulo, SP, Brazil; Department of Social Medicine, Ribeirao Preto Medical School, University of Sao Paulo, Rua Avenida Bandeirantes, 3900, CEP 14049-900, Ribeirão Preto, SP, Brazil. Electronic address: lfranco@fmrp.usp.br.
Abstract
AIMS: To evaluate the feasibility of smartphone based retinal photography for diabetic retinopathy (DR) screening among Brazilian Xavante Indians and the yield of retinal images. METHODS: A non-probabilistic cluster sample of 170 individuals with and without diabetes was enrolled for ocular examination with a portable retinal camera during DR screening at two Xavante Reservations. Due to operational conditions and to optimize the field work, only the larger Xavante villages were included. Images were obtained after pupil dilation; image analysis included assessment of quality, presence of media opacities and diabetic retinopathy grading whenever possible for individuals with diabetes. RESULTS: A total of 157 individuals underwent the complete ocular imaging protocol, 95 with diabetes (60.5%). Among those with diabetes, 23 (24.2%) could not have DR graded because of media opacities. For those with gradable images, the frequency of DR was 22.2%; sight-threatening DR was present in 9.7%. The main causes for ungradable images were cataracts and asteroid hyalosis. CONCLUSIONS: The presence of DR was higher than in previous studies, calling attention for its prevention in this vulnerable population. The screening model with a smartphone-based portable retinal camera is feasible and could increase screening coverage if associated with telemedicine.
AIMS: To evaluate the feasibility of smartphone based retinal photography for diabetic retinopathy (DR) screening among Brazilian Xavante Indians and the yield of retinal images. METHODS: A non-probabilistic cluster sample of 170 individuals with and without diabetes was enrolled for ocular examination with a portable retinal camera during DR screening at two Xavante Reservations. Due to operational conditions and to optimize the field work, only the larger Xavante villages were included. Images were obtained after pupil dilation; image analysis included assessment of quality, presence of media opacities and diabetic retinopathy grading whenever possible for individuals with diabetes. RESULTS: A total of 157 individuals underwent the complete ocular imaging protocol, 95 with diabetes (60.5%). Among those with diabetes, 23 (24.2%) could not have DR graded because of media opacities. For those with gradable images, the frequency of DR was 22.2%; sight-threatening DR was present in 9.7%. The main causes for ungradable images were cataracts and asteroid hyalosis. CONCLUSIONS: The presence of DR was higher than in previous studies, calling attention for its prevention in this vulnerable population. The screening model with a smartphone-based portable retinal camera is feasible and could increase screening coverage if associated with telemedicine.
Authors: Alexander S Himstead; Janani Prasad; Sean Melucci; Kevin M Gustafson; Paul E Israelsen; Andrew Browne Journal: Int J Ophthalmol Date: 2022-06-18 Impact factor: 1.645
Authors: Fernando Korn Malerbi; Rafael Ernane Andrade; Paulo Henrique Morales; José Augusto Stuchi; Diego Lencione; Jean Vitor de Paulo; Mayana Pereira Carvalho; Fabrícia Silva Nunes; Roseanne Montargil Rocha; Daniel A Ferraz; Rubens Belfort Journal: J Diabetes Sci Technol Date: 2021-01-12
Authors: Linus G Jansen; Payal Shah; Bettina Wabbels; Frank G Holz; Robert P Finger; Maximilian W M Wintergerst Journal: Sci Rep Date: 2021-06-16 Impact factor: 4.379