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Enregistrement W1514834756 · doi:10.1111/imj.12663

Chronic kidney disease in disadvantaged populations

2015· editorial· en· W1514834756 sur OpenAlexaboutno aff
Guillermo García-García, Vivekanand Jha

Notice bibliographique

RevueInternal Medicine Journal · 2015
Typeeditorial
Langueen
DomaineMedicine
ThématiqueChronic Kidney Disease and Diabetes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDisadvantagedMedicineKidney diseasePovertyPopulationPublic healthDisadvantageIndigenousEthnic groupHealth careDiseaseEconomic growthGerontologyEnvironmental healthPolitical sciencePathologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Of all of the forms of inequality, injustice in health is the most shocking and inhumane. Dr Martin Luther King, Jr The 12 March 2015 will mark the 10th anniversary of World Kidney Day (WKD), an initiative of the International Society of Nephrology and the International Federation of Kidney Foundations. Since its inception in 2006, WKD has become the most successful effort ever mounted to raise awareness among decision makers and the general public about the importance of kidney disease. Each year WKD reminds us that kidney disease is common, harmful and treatable. The focus of WKD 2015 is on chronic kidney disease (CKD) in disadvantaged populations. This article reviews the key links between poverty and CKD and the consequent implications for the prevention of kidney disease and the care of kidney patients in these populations. CKD is increasingly recognised as a global public health problem and a key determinant of the poor health outcomes. There is compelling evidence that disadvantaged communities, that is, those from low resource, racial and minority ethnic communities, and/or indigenous and socially disadvantaged backgrounds, suffer from marked increases in the burden of unrecognised and untreated CKD. Although the entire populations of some low- and middle-income countries could be considered disadvantaged, further discrimination on the basis of local factors creates a position of extreme disadvantage for certain population groups (subsistence farmers, those living in some rural areas, women, the elderly, religious minorities, etc). The fact that even in developed countries, racial and ethnic minorities bear a disproportionate burden of CKD and have worse outcomes suggests that there is much to learn beyond the traditional risk factors contributing to CKD-associated complications.1 About 1.2 billion people live in extreme poverty worldwide. Poverty negatively influences healthy behaviours, healthcare access and environmental exposure, all of which contribute to healthcare disparities2 (Table 1). The poor are more susceptible to disease because of lack of access to goods and services, in particular clean water and sanitation, information about preventive behaviours, adequate nutrition and reduced access to healthcare.3 In the USA, ethnic minorities have a higher incidence of end-stage renal disease (ESRD). Despite similar prevalence rates for early stages of CKD,4 poor outcomes such as ESRD are 1.5–4 times higher2, 5-7 among minorities (i.e. African-American, Hispanic and Native Americans). Poverty further increases the disparity in ESRD rates, with African-Americans being at greater risk.8 In the UK, rates of treated ESRD are higher in ethnic minority groups and with increasing social deprivation.9 Similarly in Singapore, the CKD prevalence is higher among Malays and Indians compared with the Chinese, with socioeconomic and behavioural factors accounting for 70–80% of the excess risk.10 ESRD incidence is also higher among the less advantaged indigenous populations in developed countries. Canadian First Nations people experience ESRD at rates 2.5–4 times higher than the general population.11 In Australia, the increase in the number of indigenous people starting renal replacement therapy (RRT) over the past 25 years exceeded that of the non-indigenous population by 3.5-fold, largely because of a disproportionate (>10-fold) difference in ESRD due to type II diabetic nephropathy, a disease largely attributable to lifestyle issues, such as poor nutrition and lack of exercise.12 Indigenous populations also have a higher incidence of ESRD because of glomerulonephritis and hypertension.13 Compared with the US general population, the ESRD incidence rate is higher in Guam and Hawaii, where the proportion of indigenous people is high, again driven primarily by diabetic ESRD.14 Native Americans have a greater prevalence of albuminuria and higher ESRD incidence rate.15-18 Nearly three quarters of all incident ESRD cases among this population have been attributable to type II diabetes. Poverty-related factors such as infectious diseases secondary to poor sanitation, inadequate supply of safe water, environmental pollutants and high concentrations of disease-transmitting vectors continue to play an important role in the development of CKD in low-income countries. Although rates of diabetic nephropathy are rising, chronic glomerulonephritis and interstitial nephritis are among the principal causes of CKD in many countries. Of note is the emergence of HIV-associated nephropathy as the major cause of CKD in sub-Saharan Africa.19 A high prevalence of CKD of unknown aetiology has been reported in rural agricultural communities from Central America, Egypt, India and Sri Lanka. Male farm workers are affected disproportionately, and the clinical presentation is suggestive of interstitial nephritis, confirmed on renal biopsies. The strong association with farm work has led to suggestions that exposure to agrochemicals, dehydration and consumption of contaminated wáter might be responsible.20 Additionally, the use of traditional herbal medications is common and frequently associated with CKD among the poor.21, 22 In Mexico, CKD prevalence among the poor is twofold to threefold higher than the general population, and the aetiology is unknown in 30% of ESRD patients.23-26 An association between low birth weight (LBW) due primarily to nutritional factors and kidney disease has been described in disadvantaged populations. The frequency of LBW is more than double in the Aboriginal population than in the non-Aboriginal population of Australia. The high prevalence of albuminuria in this population has been linked to low nephron number related to LBW.27, 28 Morphometric studies of kidney biopsies in the Aboriginals show glomerulomegaly, perhaps secondary to nephron deficiency, which might predispose to glomerulosclerosis.29, 30 A correlation between LBW and CKD has also been described in poor African-Americans and Caucasians living in the Southeastern USA.31 Similarly, in an Indian cohort, LBW and early malnutrition were associated with later development of metabolic syndrome, diabetes and diabetic nephropathy.32 The finding of a high prevalence of proteinuria, elevated blood pressure and CKD of unknown aetiology in South Asian children may also be explained by this mechanism.33, 34 A recent analysis shows that globally, there were 2.6 million people on dialysis in 2010, 93% in high- or upper middle-income countries. By contrast, the number of people requiring RRT was estimated at 4.9–9 million, suggesting that at least 2.3 million died prematurely because of lack of access to RRT. Even though diabetes and hypertension increase the burden of CKD, the current provision of RRT is linked largely to two factors: per capita GNP and age, suggesting that poverty is a major disadvantage for receiving RRT. By 2030, the number of people receiving RRT around the world is projected to increase to 5.4 million. Most of this increase will be in developing countries of Asia and Africa (T. Liyanage et al.; unpubl. data, 2014). Access to RRT in the emerging world is dependent mostly on the healthcare expenditures and economic strength of individual countries, with the relationship between income and access to RRT being almost linear in low- and middle-income countries.19, 35 In Latin America, RRT prevalence and kidney transplantation rates correlate significantly with gross national income and health expenditure,36 while in India and Pakistan, less than 10% of all ESRD patients have access to RRT.37 Additionally, developing countries have low transplant rates because of a combination of low levels of infrastructure; geographical remoteness; lack of legislation governing brain death; religious, cultural and social constraints; and commercial incentives that favour dialysis.38 There are also differences in utilisation of renal replacement modalities between indigenous and non-indigenous groups in the developed countries. In Australia and New Zealand, the proportion of people receiving home dialysis is considerably lower among indigenous people. At the end of 2007 in Australia, 33% of non-indigenous people requiring RRT were receiving home-based dialysis therapies, in contrast to 18% of Aboriginal people. In New Zealand, home-based dialysis was utilised by 62% of non-indigenous RRT population but only by 42% of Maori/Pacific Islanders.12 The rate of kidney transplantation is also lower among disadvantaged communities. Maori and Pacific people are only 25% as likely to get a transplant as European New Zealanders, and the proportion of indigenous people who underwent transplantation and had a functioning kidney transplant is lower among Aboriginal Australians (12%) compared with non-indigenous Australians (45%). In the UK, white individuals from socially deprived areas, South Asians and blacks were all less likely to receive a pre-emptive renal transplant or living donor transplants than their more affluent white counterparts.9 A multinational study found that when compared with white patients, the likelihood of receiving a transplant for Aboriginal patients was 77% lower in Australia and New Zealand, and 66% lower in Canadian First Nations individuals.39 Disparities in renal care are more evident in developing nations. Data from India show that there are fewer nephrologists and nephrology services in the poorer states. As a result, people living in these states are likely to receive less care.40 In Mexico, the fragmentation of the healthcare system has resulted in unequal access to RRT. In the state of Jalisco, the acceptance and prevalence rates in the more economically advantaged insured population were higher (327 pmp and 939 pmp, respectively) than for patients without medical insurance (99 pmp and 166 pmp, respectively). The transplant rate also was dramatically different, at 72 pmp for those with health insurance and 7.5 pmp for those without it.41 In addition to having a higher disease burden, the poor have limited access to resources for meeting the treatment costs. A large proportion of patients who are forced to meet the expensive ESRD treatment costs by incurring out-of-pocket expenditure get pushed into extreme poverty. In one Indian study, over 70% patients undergoing kidney transplantation experienced catastrophic healthcare expenditures.42 Entire families felt the impact of this, including job losses and interruptions in education of children. Overall, mortality rates among those who do receive RRT are higher in the indigenous, minorities and the uninsured populations, even after adjustment for comorbidities. The hazard ratios for death on dialysis relative to the non-indigenous group are 1.4 for Aboriginal Australians and New Zealand Maori.43 The Canadian First Nations patients achieve target levels for blood pressure and mineral metabolism less frequently.44 In the USA, living in predominantly black neighbourhoods was associated with higher than expected mortality rates on dialysis and increased time to transplantation.45 Similarly, black patients on peritoneal dialysis had a higher risk of death or technique failure compared with whites.46 In Mexico, the mortality on peritoneal dialysis is threefold higher among the uninsured population compared with Mexican patients receiving treatment in the USA, and the survival rate is significantly lower than the insured Mexican population,47 while in India almost two thirds of the patients are unable to continue dialysis beyond the first 3 months because of financial reasons.48 The increased burden of CKD in disadavantaged populations is due to both global factors and population-specific issues. Low socioeconomic status and poor access to care contribute to healthcare disparities and exacerbate the negative effects of genetic or biologic predisposition. Provision of appropriate renal care to these populations requires a two-pronged approach: expanding the reach of dialysis through development of low-cost alternatives that can be practised in remote locations, and implementation and evaluation of cost-effective prevention strategies. Kidney transplantation should be promoted by expanding deceased donor transplant programmes and use of inexpensive, generic immunosuppressive drugs. The message of WKD 2015 is that a concerted attack against the diseases that lead to ESRD, by increasing community outreach, better education, improved economic opportunity and access to preventive medicine for those at highest risk, could end the unacceptable relationship between CKD and disadvantage in these communities.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,017
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,017
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,004
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,022
Tête enseignante GPT0,354
Écart entre enseignants0,333 · 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 tête enseignante, pas un consensus.

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

Citations22
Publié2015
Routes d'admission1
Résumé présentoui

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