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Enregistrement W2806772102 · doi:10.1681/asn.2018050503

Greater Burden of ESRD among Immigrants: Kwa nini?

2018· letter· en· W2806772102 sur OpenAlexaboutno aff
Deidra C. Crews

Notice bibliographique

RevueJournal of the American Society of Nephrology · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueRenal Diseases and Glomerulopathies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmigrationMedicineIncidence (geometry)DialysisEpidemiologyDemographyGerontologyPolitical scienceInternal medicineSociology

Résumé

récupéré en direct d'OpenAlex

At this time in our global history, when immigration policies are under frequent review, an understanding of the health status of immigrants has become increasingly important. In this issue of the Journal of the American Society of Nephrology, Perl et al.1 provide the first comprehensive report of the epidemiology of dialysis-dependent ESRD (ESRD-D) among immigrants compared with long-term residents. They conducted their study in Ontario, Canada, where universal health care coverage, including maintenance dialysis, begins shortly after an immigrant arrives. The authors found that the prevalence and incidence of ESRD-D differed significantly by world region and country of birth, with immigrants to Canada who were from sub-Saharan Africa and the Caribbean having the highest ESRD-D risk. To understand how best to address these risk differences, careful consideration of exactly why certain immigrant groups might have a greater burden of ESRD-D is imperative—or to state it in Swahili, kwa nini? The factors influencing the risk of ESRD-D among immigrants likely include those related to the country of origin, the influences that informed the decision to immigrate, and the new country itself (Figure 1). Perl et al.1 found the greatest prevalence of ESRD-D to be among immigrants from countries likely to have high prevalence of APOL1 risk variants2 given their predominant African ancestry. If this was the primary driver of greater risk of ESRD-D for these individuals, one might expect their kidney failure rates to mirror those seen in their country of origin. Unfortunately, for many low- and middle-income countries (including several in sub-Saharan Africa and the Caribbean), data on ESRD prevalence are limited, and dialysis is not widely accessible. Thus, estimates of ESRD-D are incomparable with what might be seen in countries with broader availability of dialysis. For example, Perl et al.1 found a prevalence of ESRD-D of 159.2 per 100,000 population for immigrants from Sudan, but in 2015, only 20 per 100,000 population were treated with hemodialysis in Sudan.3Figure 1.: Potential factors influencing dialysis-dependent ESRD risk among immigrants might include those related to the country of origin, those that influenced the decision and ability to immigrate, and the new country.If genetic risk was the key explanatory factor for the differences in ESRD-D in Ontario, it would also be expected that long-term Canadian residents with similar ancestry or race/ethnicity as a proxy would have comparable rates of ESRD-D. Perl et al.1 note that a limitation of their study was the lack of data on race/ethnicity among long-term Canadians to allow for this comparison. The motivation for immigration and the ability to immigrate may each play an important role in determining ESRD-D risk among immigrants. Younger, more physically robust individuals may be more likely to pursue moving to another country than older and/or frail persons. Consistent with this, Perl et al.1 found a 4.6-year (31%) difference in mean age between immigrants and long-term residents with ESRD-D. Socioeconomic status is also likely a strong determinant of ability to immigrate. Perl et al.1 found that immigrants from Somalia, designated by the United Nations to be a least developed country,4 had the highest prevalence and the second highest incidence of ESRD-D. Although many immigrants from least developed countries, such as Somalia, may have very low incomes, they may be more financially stable than others in their country of origin, leading to their opportunity for mobility. Notably, the average age of immigrants with ESRD-D in Ontario was 62.4 years old, which is >7 years older than the average life expectancy for Somalis in Somalia, who, on average, live to only 55 years old.5 Because of limited access to dialysis in many low- and middle-income countries, individuals who are able may move to a new country in pursuit of long-term care of their kidney disease. For those able to pass the immigration process (including screening for communicable diseases and demonstration of value to the workforce), moving to countries such as Canada, where universal health care is available, would be attractive. Therefore, populations of immigrants with prevalent ESRD-D might be enriched with individuals with relatively better overall health than long-term residents with ESRD-D due to the “healthy immigrant effect.”6 Whether this leads to immigrants’ better survival on dialysis is worthy of further study.7 The incident ESRD-D findings by Perl et al.1 argue that factors related to similarities and differences between the country of origin and the country immigrated to affected risk of ESRD-D. Compared with persons who immigrated to Ontario from Western nations, immigrants from East Asia, South Asia, Latin America, the Caribbean, and sub-Saharan Africa had higher incidence of ESRD-D, particularly among those who had lived in Canada for at least 10 years. Immigrants from these countries may have adopted Western dietary8 and other habits that negatively affected their kidney health. Similar to what has been observed for several other socially marginalized groups, these immigrants also may have encountered bias in health care9 and other settings that can affect kidney outcomes. The potential underlying causes are numerous, but the disparities in ESRD-D documented by Perl et al.1 certainly warrant attention and efforts to mitigate them. Early identification of immigrants at high risk for ESRD could allow for timely interventions, including referral to nephrology and the start of renoprotective medications. Some programs aimed at meeting the needs of immigrants with other chronic conditions have included the use of community health workers to deliver educational interventions.10 Tailored approaches specifically targeting individuals with risk factors for CKD progression are needed that are both accessible and acceptable among immigrant groups. Disclosures None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,061

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0010,002
Science ouverte0,0000,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,263
Écart entre enseignants0,250 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

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