Outcomes of patient self-referral for the diagnosis of several rare inherited kidney diseases

. 2020 Jan ; 22 (1) : 142-149. [epub] 20190724

Jazyk angličtina Země Spojené státy americké Médium print-electronic

Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid31337885

Grantová podpora
R21 DK106584 NIDDK NIH HHS - United States

Odkazy

PubMed 31337885
PubMed Central PMC6946861
DOI 10.1038/s41436-019-0617-8
PII: S1098-3600(21)01110-2
Knihovny.cz E-zdroje

PURPOSE: To evaluate self-referral from the Internet for genetic diagnosis of several rare inherited kidney diseases. METHODS: Retrospective study from 1996 to 2017 analyzing data from an academic referral center specializing in autosomal dominant tubulointerstitial kidney disease (ADTKD). Individuals were referred by academic health-care providers (HCPs) nonacademic HCPs, or directly by patients/families. RESULTS: Over 21 years, there were 665 referrals, with 176 (27%) directly from families, 269 (40%) from academic HCPs, and 220 (33%) from nonacademic HCPs. Forty-two (24%) direct family referrals had positive genetic testing versus 73 (27%) families from academic HCPs and 55 (25%) from nonacademic HCPs (P = 0.72). Ninety-nine percent of direct family contacts were white and resided in zip code locations with a mean median income of $77,316 ± 34,014 versus US median income $49,445. CONCLUSION: Undiagnosed families with Internet access bypassed their physicians and established direct contact with an academic center specializing in inherited kidney disease to achieve a diagnosis. Twenty-five percent of all families diagnosed with ADTKD were the result of direct family referral and would otherwise have been undiagnosed. If patients suspect a rare disorder that is undiagnosed by their physicians, actively pursuing self-diagnosis using the Internet can be successful. Centers interested in rare disorders should consider improving direct access to families.

Zobrazit více v PubMed

RARE Diseases: Facts and Statistics. https://globalgenes.org/rare-diseases-facts-statistics/. Archived at: www.webcitation.org/725bdKt9p

Bigelow B Tess is not alone: A USP7 story. http://www.portlandrootsmedia.com/usp7-film/. Accessed June 21, 2018.

Mnookin S One of a Kind: What do you do if your child has a condition that is new to science? New Yorker. https://www.newyorker.com/magazine/2014/07/21/one-of-a-kind-2. Archived at: http://www.webcitation.org/725eJw7sJ

Rule ARL. I Am That Parent. JAMA. 2018;319(5):445. PubMed

Bouwman MG, Teunissen QG, Wijburg FA, Linthorst GE. ‘Doctor Google’ ending the diagnostic odyssey in lysosomal storage disorders: parents using internet search engines as an efficient diagnostic strategy in rare diseases. Arch Dis Child. 2010;95(8):642–644. PubMed

Patsos M MSJAMA: the Internet and medicine: building a community for patients with rare diseases. JAMA. 2001;285(6):805. PubMed

Kuehn BM. More than one-third of US individuals use the Internet to self-diagnose. JAMA. 2013;309(8):756–757. PubMed

Bleyer AJ, Kidd K, Zivna M, Kmoch S. Autosomal Dominant Tubulointerstitial Kidney Disease. Adv Chronic Kidney Dis. 2017(2);24:86–93. PubMed PMC

Kirby A, Gnirke A, Jaffe DB et al. Mutations causing medullary cystic kidney disease type 1 lie in a large VNTR in MUC1 missed by massively parallel sequencing. Nat Genet. 2013;45(3):288–393. PubMed PMC

Hart TC, Gorry MC, Hart PS et al. Mutations of the UMOD gene are responsible for medullary cystic kidney disease 2 and familial juvenile hyperuricaemic nephropathy. J Med Genet. 2002;39(12):882–892. PubMed PMC

Zivna M, Hulkova H, Marignon M et al. Dominant renin gene mutations associated with early-onset hyperuricemia, anemia, and chronic kidney failure. Am J Human Genet. 2009;85(2):204–213. PubMed PMC

Wake Forest Inherited Kidney Disease. http://www.wakehealth.edu/Nephrology/Inherited-Kidney-Disease.htmhttp://www.wakehealth.edu/Nephrology/Medullary-Kidney-Disease/http://www.wakehealth.edu/nephrology/gout/. Accessed June 21, 2018.

Blumenstiel B, Defelice M, Birsoy O et al. Development and Validation of a Mass Spectrometry-Based Assay for the Molecular Diagnosis of Mucin-1 Kidney Disease. J Mol Diagn. 2016;18(4):566–571. PubMed

Bleyer AJ, Kmoch S, Antignac C et al. Variable clinical presentation of an MUC1 mutation causing medullary cystic kidney disease type 1. Clin J Am Soc Nephrol. 2014;9(3):527–535. PubMed PMC

Bleyer AJ, Hart PS, Kmoch S. Hereditary interstitial kidney disease. Semin Nephrol. 2010;30(4):366–373. PubMed PMC

Eckardt KU, Alper SL, Antignac C et al. Autosomal dominant tubulointerstitial kidney disease: diagnosis, classification, and management-A KDIGO consensus report. Kidney Int. 2015;88(4):676–683. PubMed

Bleyer AJ. National Organization of Rare Disorders: Autosomal Dominant Tubulo-Interstitial Kidney Disease. https://rarediseases.org/rare-diseases/autosomal-dominant-interstitial-kidney-disease/. Archived at: http://www.webcitation.org/725eqIRGM

United States Census Bureau American Fact Finder. https://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml. Archived at: http://www.webcitation.org/725evlkUb

Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381. PubMed PMC

Bolar NA, Golzio C, Zivna M et al. Heterozygous Loss-of-Function SEC61A1 Mutations Cause Autosomal-Dominant Tubulo-Interstitial and Glomerulocystic Kidney Disease with Anemia. Am J Hum Genet. 2016;99(1):174–187. PubMed PMC

Hartmannova H, Piherova L, Tauchmannova K et al. Acadian variant of Fanconi syndrome is caused by mitochondrial respiratory chain complex I deficiency due to a non-coding mutation in complex I assembly factor NDUFAF6. Hum Mol Genet. 2016;25(18):4062–4079. PubMed

Semigran HL, Linder JA, Gidengil C, Mehrotra A. Evaluation of symptom checkers for self diagnosis and triage: audit study. BMJ. 2015;351:h3480. PubMed PMC

Bisson LJ, Komm JT, Bernas GA et al. How Accurate Are Patients at Diagnosing the Cause of Their Knee Pain With the Help of a Web-based Symptom Checker? Orthop J Sports Med. 2016;4(2):2325967116630286. PubMed PMC

Ayme S, Kole A, Groft S. Empowerment of patients: lessons from the rare diseases community. Lancet. 2008;371(9629):2048–2051. PubMed

Berland GK, Elliott MN, Morales LS et al. Health information on the Internet: accessibility, quality, and readability in English and Spanish. JAMA. 2001;285(20):2612–2621. PubMed PMC

Eysenbach G, Powell J, Kuss O, Sa ER. Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. JAMA. 2002;287(20):2691–2700. PubMed

Nicholl H, Tracey C, Begley T, King C, Lynch AM. Internet Use by Parents of Children With Rare Conditions: Findings From a Study on Parents’ Web Information Needs. J Med Internet Res. 2017;19(2):e51. PubMed PMC

Morgan T, Schmidt J, Haakonsen C et al. Using the internet to seek information about genetic and rare diseases: a case study comparing data from 2006 and 2011. JMIR Res Protoc 2014;3(1):e10. PubMed PMC

Hamilton JG, Hutson SP, Frohnmayer AE et al. Genetic Information-Seeking Behaviors and Knowledge among Family Members and Patients with Inherited Bone Marrow Failure Syndromes. J Genet Couns. 2015;24(15):760–770. PubMed PMC

Schumacher KR, Stringer KA, Donohue JE et al. Social media methods for studying rare diseases. Pediatrics. 2014;133(5):e1345–e1353. PubMed PMC

Davies W Insights into rare diseases from social media surveys. Orphanet J Rare Dis. 2016;11(1):151. PubMed PMC

Babac A, Litzkendorf S, Schmidt K et al. Shaping an Effective Health Information Website on Rare Diseases Using a Group Decision-Making Tool: Inclusion of the Perspectives of Patients, Their Family Members, and Physicians. Interact J Med Res 2017;6(2):e23. PubMed PMC

Pauer F, Gobel J, Storf H et al. Adopting Quality Criteria for Websites Providing Medical Information About Rare Diseases. Interact J Med Res. 2016;5(3):e24. PubMed PMC

Income, Poverty and Health Insurance Coverage in the United States: 2010. https://www.census.gov/newsroom/releases/pdf/2010_Report.pdf. Archived at: http://www.webcitation.org/725f2Wtny

Scharff DP, Mathews KJ, Jackson P, Hoffsuemmer J, Martin E, Edwards D. More than Tuskegee: understanding mistrust about research participation. J Health Care Poor Underserved. 2010;21(3):879–897. PubMed PMC

Jacobs EA, Rolle I, Ferrans CE, Whitaker EE, Warnecke RB. Understanding African Americans’ views of the trustworthiness of physicians. J Gen Intern Med. 2006;21(6):642–647. PubMed PMC

Lhotta K, Piret SE, Kramar R, Thakker RV, Sunder-Plassmann G, Kotanko P. Epidemiology of uromodulin-associated kidney disease - results from a nation-wide survey. Nephron Extra. 2012;2(1):147–158. PubMed PMC

Broad Institute Rare Genomes Project. https://raregenomes.org/home. Archived at: http://www.webcitation.org/725bR2mVw

Nejnovějších 20 citací...

Zobrazit více v
Medvik | PubMed

Eight-fold increased COVID-19 mortality in autosomal dominant tubulointerstitial kidney disease due to MUC1 mutations: an observational study

. 2024 Dec 18 ; 25 (1) : 449. [epub] 20241218

Maternal health and pregnancy outcomes in autosomal dominant tubulointerstitial kidney disease

. 2023 Sep ; 16 (3) : 162-169. [epub] 20221019

Autosomal dominant tubulointerstitial kidney disease: A review

. 2022 Sep ; 190 (3) : 309-324. [epub] 20221017

Autosomal dominant tubulointerstitial kidney disease: more than just HNF1β

. 2022 May ; 37 (5) : 933-946. [epub] 20210522

Genetic Etiologies for Chronic Kidney Disease Revealed through Next-Generation Renal Gene Panel

. 2022 ; 53 (4) : 297-306. [epub] 20220324

Plasma Mucin-1 (CA15-3) Levels in Autosomal Dominant Tubulointerstitial Kidney Disease due to MUC1 Mutations

. 2021 ; 52 (5) : 378-387. [epub] 20210607

Genetic and Clinical Predictors of Age of ESKD in Individuals With Autosomal Dominant Tubulointerstitial Kidney Disease Due to UMOD Mutations

. 2020 Sep ; 5 (9) : 1472-1485. [epub] 20200703

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...