Population-level detection of early loss of kidney function: 7-year follow-up of a young adult cohort at risk of Mesoamerican nephropathy.

Chronic kidney disease of undetermined cause chronic kidney disease of non-traditional cause hidden Markov modelling

Journal

International journal of epidemiology
ISSN: 1464-3685
Titre abrégé: Int J Epidemiol
Pays: England
ID NLM: 7802871

Informations de publication

Date de publication:
31 Oct 2023
Historique:
received: 06 01 2023
accepted: 18 10 2023
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 6 11 2023
Statut: aheadofprint

Résumé

Mesoamerican nephropathy is a leading contributor to premature mortality in Central America. Efforts to identify the cause are hampered by difficulties in distinguishing associations with potential initiating factors from common exposures thought to exacerbate the progression of all forms of established chronic kidney disease (CKD). We explored evidence of disease onset or departure from the healthy estimated glomerular filtration rate distribution [departure from ∼eGFR(healthy)] in an at-risk population. Two community-based cohorts (adults aged 18-30 years, n = 351 and 420) from 11 rural communities in Northwest Nicaragua were followed up over 7 and 3 years respectively. We examined associations with both (i) incident CKD and (ii) the time point of departure from ∼eGFR(healthy), using a hidden Markov model. CKD occurred in men only (male incidence rate: 0.7%/year). Fifty-three (out of 1878 visits, 2.7%) and 8 (out of 1067 visits, 0.8%) episodes of probable departure from ∼eGFR(healthy) occurred in men and women, respectively. Cumulative time in sugarcane work and symptoms of excess occupational sun exposure were associated with incident CKD. The same exposures were associated with probability of departure from ∼eGFR(healthy) in time-updated analyses along with measured and self-reported weight loss, nausea, vomiting and cramps, as well as non-steroidal anti-inflammatory drug use. CKD burden in this population is high and risk factors for established disease are occupational. Additionally, a syndrome suggesting an alternative exposure is associated with evidence of disease onset supporting a possible separate unknown initiating factor for which further investigation is needed. Interventions to reduce the impact of occupational risks should be pursued meanwhile.

Sections du résumé

BACKGROUND BACKGROUND
Mesoamerican nephropathy is a leading contributor to premature mortality in Central America. Efforts to identify the cause are hampered by difficulties in distinguishing associations with potential initiating factors from common exposures thought to exacerbate the progression of all forms of established chronic kidney disease (CKD). We explored evidence of disease onset or departure from the healthy estimated glomerular filtration rate distribution [departure from ∼eGFR(healthy)] in an at-risk population.
METHODS METHODS
Two community-based cohorts (adults aged 18-30 years, n = 351 and 420) from 11 rural communities in Northwest Nicaragua were followed up over 7 and 3 years respectively. We examined associations with both (i) incident CKD and (ii) the time point of departure from ∼eGFR(healthy), using a hidden Markov model.
RESULTS RESULTS
CKD occurred in men only (male incidence rate: 0.7%/year). Fifty-three (out of 1878 visits, 2.7%) and 8 (out of 1067 visits, 0.8%) episodes of probable departure from ∼eGFR(healthy) occurred in men and women, respectively. Cumulative time in sugarcane work and symptoms of excess occupational sun exposure were associated with incident CKD. The same exposures were associated with probability of departure from ∼eGFR(healthy) in time-updated analyses along with measured and self-reported weight loss, nausea, vomiting and cramps, as well as non-steroidal anti-inflammatory drug use.
CONCLUSIONS CONCLUSIONS
CKD burden in this population is high and risk factors for established disease are occupational. Additionally, a syndrome suggesting an alternative exposure is associated with evidence of disease onset supporting a possible separate unknown initiating factor for which further investigation is needed. Interventions to reduce the impact of occupational risks should be pursued meanwhile.

Identifiants

pubmed: 37930052
pii: 7334502
doi: 10.1093/ije/dyad151
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : UK Medical Research Council
ID : MR/V033743/1

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the International Epidemiological Association.

Auteurs

Marvin Gonzalez-Quiroz (M)

Department of Renal Medicine, University College London, London, UK.
Wuqu' Kawoq Maya Health Alliance, Chimaltenango, Guatemala.

Brianna Heggeseth (B)

Department of Mathematics, Statistics, and Computer Science, Macalester College, St Paul, MN, USA.

Armando Camacho (A)

Research Centre on Health, Work and Environment, National Autonomous University of Nicaragua, León (UNAN-Leon), León, Nicaragua.

Amin Oomatia (A)

Department of Renal Medicine, University College London, London, UK.

Ali M Al-Rashed (AM)

Department of Renal Medicine, University College London, London, UK.

Yixuan Zhang (Y)

Department of Mathematics, Statistics, and Computer Science, Macalester College, St Paul, MN, USA.

Alexander McCreight (A)

Department of Mathematics, Statistics, and Computer Science, Macalester College, St Paul, MN, USA.

Nicholas Jewel (N)

Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.

Aurora Aragon (A)

Wuqu' Kawoq Maya Health Alliance, Chimaltenango, Guatemala.

Dorothea Nitsch (D)

Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Neil Pearce (N)

Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Ben Caplin (B)

Department of Renal Medicine, University College London, London, UK.

Classifications MeSH