Cargando…
Clinical profile and demographic distribution of Stargardt disease phenotypes: An Electronic medical record-driven big data analytics from a multitier eye care network
PURPOSE: To describe the demographics and clinical profile of Stargardt disease in patients presenting a multitier ophthalmology hospital network in India. METHODS: This cross-sectional hospital-based study was performed among 2,834,616 new patients presenting between August 2010 and June 2021 in ou...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683681/ https://www.ncbi.nlm.nih.gov/pubmed/37787244 http://dx.doi.org/10.4103/IJO.IJO_3290_22 |
_version_ | 1785151249757241344 |
---|---|
author | Das, Anthony Vipin Venugopal, Ragukumar Takkar, Brijesh Sharma, Sumant Balakrishnan, Neelima Narayanan, Raja Parameswarappa, Deepika Padhy, Srikanta Kumar |
author_facet | Das, Anthony Vipin Venugopal, Ragukumar Takkar, Brijesh Sharma, Sumant Balakrishnan, Neelima Narayanan, Raja Parameswarappa, Deepika Padhy, Srikanta Kumar |
author_sort | Das, Anthony Vipin |
collection | PubMed |
description | PURPOSE: To describe the demographics and clinical profile of Stargardt disease in patients presenting a multitier ophthalmology hospital network in India. METHODS: This cross-sectional hospital-based study was performed among 2,834,616 new patients presenting between August 2010 and June 2021 in our network. Patients with a clinical diagnosis of Stargardt disease in at least one eye were included as cases. The data were collected using an electronic medical record system. RESULTS: Overall, 1,934 (0.069%) patients were diagnosed with Stargardt disease. Most of the patients were male (63.14%). The most common age group at presentation was during the second decade of life, with 626 (31.87%) patients. The overall prevalence was higher in patients from a higher socioeconomic status (0.077%), in those presenting from the urban geography (0.079%), and in students (0.197%). Systemic history of hypertension was seen in 56 (2.85%) patients, while diabetes mellitus was seen in (2.49%) patients. Of the 3,917 eyes, 1,910 (48.76%) eyes had moderate visual impairment (>20/70–20/200) followed by severe visual impairment (>20/200 to 20/400) in 646 (16.49%) eyes. The most commonly associated retinal signs were retinal flecks in 1,260 (32.17%) eyes, followed by RPE changes in 945 (24.13%) eyes. The most documented investigations were autofluorescence (39.85%), followed by optical coherence tomography (23.90). Cataract surgery was the commonest performed surgical intervention in (0.66%) eyes, followed by intravitreal injection in 4 (0.10%) eyes. The family history of parent consanguinity marriage was reported by 212 (10.79%) patients. CONCLUSION: Stargardt disease was seen more commonly in males presenting during the second decade of life. It is predominantly a bilateral disease, with the majority of the eyes having moderate visual impairment. |
format | Online Article Text |
id | pubmed-10683681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-106836812023-11-30 Clinical profile and demographic distribution of Stargardt disease phenotypes: An Electronic medical record-driven big data analytics from a multitier eye care network Das, Anthony Vipin Venugopal, Ragukumar Takkar, Brijesh Sharma, Sumant Balakrishnan, Neelima Narayanan, Raja Parameswarappa, Deepika Padhy, Srikanta Kumar Indian J Ophthalmol Original Article PURPOSE: To describe the demographics and clinical profile of Stargardt disease in patients presenting a multitier ophthalmology hospital network in India. METHODS: This cross-sectional hospital-based study was performed among 2,834,616 new patients presenting between August 2010 and June 2021 in our network. Patients with a clinical diagnosis of Stargardt disease in at least one eye were included as cases. The data were collected using an electronic medical record system. RESULTS: Overall, 1,934 (0.069%) patients were diagnosed with Stargardt disease. Most of the patients were male (63.14%). The most common age group at presentation was during the second decade of life, with 626 (31.87%) patients. The overall prevalence was higher in patients from a higher socioeconomic status (0.077%), in those presenting from the urban geography (0.079%), and in students (0.197%). Systemic history of hypertension was seen in 56 (2.85%) patients, while diabetes mellitus was seen in (2.49%) patients. Of the 3,917 eyes, 1,910 (48.76%) eyes had moderate visual impairment (>20/70–20/200) followed by severe visual impairment (>20/200 to 20/400) in 646 (16.49%) eyes. The most commonly associated retinal signs were retinal flecks in 1,260 (32.17%) eyes, followed by RPE changes in 945 (24.13%) eyes. The most documented investigations were autofluorescence (39.85%), followed by optical coherence tomography (23.90). Cataract surgery was the commonest performed surgical intervention in (0.66%) eyes, followed by intravitreal injection in 4 (0.10%) eyes. The family history of parent consanguinity marriage was reported by 212 (10.79%) patients. CONCLUSION: Stargardt disease was seen more commonly in males presenting during the second decade of life. It is predominantly a bilateral disease, with the majority of the eyes having moderate visual impairment. Wolters Kluwer - Medknow 2023-10 2023-09-29 /pmc/articles/PMC10683681/ /pubmed/37787244 http://dx.doi.org/10.4103/IJO.IJO_3290_22 Text en Copyright: © 2023 Indian Journal of Ophthalmology https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Das, Anthony Vipin Venugopal, Ragukumar Takkar, Brijesh Sharma, Sumant Balakrishnan, Neelima Narayanan, Raja Parameswarappa, Deepika Padhy, Srikanta Kumar Clinical profile and demographic distribution of Stargardt disease phenotypes: An Electronic medical record-driven big data analytics from a multitier eye care network |
title | Clinical profile and demographic distribution of Stargardt disease phenotypes: An Electronic medical record-driven big data analytics from a multitier eye care network |
title_full | Clinical profile and demographic distribution of Stargardt disease phenotypes: An Electronic medical record-driven big data analytics from a multitier eye care network |
title_fullStr | Clinical profile and demographic distribution of Stargardt disease phenotypes: An Electronic medical record-driven big data analytics from a multitier eye care network |
title_full_unstemmed | Clinical profile and demographic distribution of Stargardt disease phenotypes: An Electronic medical record-driven big data analytics from a multitier eye care network |
title_short | Clinical profile and demographic distribution of Stargardt disease phenotypes: An Electronic medical record-driven big data analytics from a multitier eye care network |
title_sort | clinical profile and demographic distribution of stargardt disease phenotypes: an electronic medical record-driven big data analytics from a multitier eye care network |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683681/ https://www.ncbi.nlm.nih.gov/pubmed/37787244 http://dx.doi.org/10.4103/IJO.IJO_3290_22 |
work_keys_str_mv | AT dasanthonyvipin clinicalprofileanddemographicdistributionofstargardtdiseasephenotypesanelectronicmedicalrecorddrivenbigdataanalyticsfromamultitiereyecarenetwork AT venugopalragukumar clinicalprofileanddemographicdistributionofstargardtdiseasephenotypesanelectronicmedicalrecorddrivenbigdataanalyticsfromamultitiereyecarenetwork AT takkarbrijesh clinicalprofileanddemographicdistributionofstargardtdiseasephenotypesanelectronicmedicalrecorddrivenbigdataanalyticsfromamultitiereyecarenetwork AT sharmasumant clinicalprofileanddemographicdistributionofstargardtdiseasephenotypesanelectronicmedicalrecorddrivenbigdataanalyticsfromamultitiereyecarenetwork AT balakrishnanneelima clinicalprofileanddemographicdistributionofstargardtdiseasephenotypesanelectronicmedicalrecorddrivenbigdataanalyticsfromamultitiereyecarenetwork AT narayananraja clinicalprofileanddemographicdistributionofstargardtdiseasephenotypesanelectronicmedicalrecorddrivenbigdataanalyticsfromamultitiereyecarenetwork AT parameswarappadeepika clinicalprofileanddemographicdistributionofstargardtdiseasephenotypesanelectronicmedicalrecorddrivenbigdataanalyticsfromamultitiereyecarenetwork AT padhysrikantakumar clinicalprofileanddemographicdistributionofstargardtdiseasephenotypesanelectronicmedicalrecorddrivenbigdataanalyticsfromamultitiereyecarenetwork |