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Fundoscopy findings of diabetic and/or hipertensive patients

Dear editor:

I would like to add some points as comments on the article Fundoscopy findings of diabetic and / or hypertensive patients (11 Menezes LM, Morais NN. Achados de fundoscopia de pacientes diabéticos e/ou hipertensos. Rev Bras Oftalmol. 2020;79(1):28-32.) published in your journal.

The article shows that, in order to reduce the harmful effect of systemic arterial hypertension and diabetes, patients must be followed-up by the general practitioner, who should conduct annual eye examinations to enable the early diagnosis of these pathologies and help reducing costs to the public health system.(11 Menezes LM, Morais NN. Achados de fundoscopia de pacientes diabéticos e/ou hipertensos. Rev Bras Oftalmol. 2020;79(1):28-32.)

The study comprised patients from a Basic Health Unit that mostly serves individuals with systemic arterial hypertension and diabetes treated in the public health system. However, the hierarchical organization of the Brazilian Unified Health System places Ophthalmology away from the entrance door of the system. Policies developed by the Ministry of Health place the ophthalmological service at secondary and tertiary complexity levels. Another reason for the difficulty in accessing ophthalmological care lies on the number of physicians working only in the private system, which reduces the medical assistance availability to many citizens who depend on the public health system.(22 Conselho Brasileiro de Oftalmologia (CBO). Censo Oftalmológico 2014. São Paulo: CBO; 2014.)

It is necessary investing in the qualification of general practitioners who work in Basic Health Units in order to improve the screening of hypertensive and diabetic patients with ophthalmological issues. It can be done through the development of teaching models focused on training these professionals to perform fundoscopy exams. (33 Martins TG, Costa AL, Helene O, Martins RV, Helene AF, Schor P. Training of direct ophthalmoscopy using models. Clin Teach. 2017;14(6):423-6.)

Other alternatives lie on launching telemedicine centers to support professionals and on developing portable retinography devices with algorithms capable of helping health professionals to screen population’s ophthalmological issues. Nowadays, software based on artificial intelligence use can identify different pathologies as accurately as specialists. These images can be rapidly classified by algorithms developed to analyze retinography images, which allow investigating and monitoring high prevalence diseases such as diabetic retinopathy. (44 Kermany DS, Goldbaum M, Cai W, Valentim CC, Liang H, Baxter SL, et al. Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell. 2018;172(5):1122-1131.e9.)

The first autonomous artificial intelligence system focused on screening diabetic retinopathy was developed in 2018. Algorithms associated with smartphone-use to diagnose ophthalmic diseases started being developed. (55 Keane PA, Topol EJ. With an eye to AI and autonomous diagnosis. NPJ Digit Med. 2018;1:40.)

Thus, the ophthalmological care and screening of diabetic and hypertensive patients treated in Basic Health Units can be improved by making training programs available to health professionals who work in these units, as well as by using the existing technology to enable the early diagnosis of these patients and to reduce costs of the public health system to treat patients’ sequelae.

Referências

  • 1
    Menezes LM, Morais NN. Achados de fundoscopia de pacientes diabéticos e/ou hipertensos. Rev Bras Oftalmol. 2020;79(1):28-32.
  • 2
    Conselho Brasileiro de Oftalmologia (CBO). Censo Oftalmológico 2014. São Paulo: CBO; 2014.
  • 3
    Martins TG, Costa AL, Helene O, Martins RV, Helene AF, Schor P. Training of direct ophthalmoscopy using models. Clin Teach. 2017;14(6):423-6.
  • 4
    Kermany DS, Goldbaum M, Cai W, Valentim CC, Liang H, Baxter SL, et al. Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell. 2018;172(5):1122-1131.e9.
  • 5
    Keane PA, Topol EJ. With an eye to AI and autonomous diagnosis. NPJ Digit Med. 2018;1:40.

Publication Dates

  • Publication in this collection
    20 Nov 2020
  • Date of issue
    Sep-Oct 2020

History

  • Received
    20 Feb 2020
  • Accepted
    24 Apr 2020
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