The Association Between Renal Function Decline and the Incidence of Urothelial Carcinoma: A 16-year Retrospective Cohort Study in Taiwan.

Estimated glomerular filtration rate Fine particulate matter (PM2.5) Reduced renal function Urothelial carcinoma

Journal

European urology open science
ISSN: 2666-1683
Titre abrégé: Eur Urol Open Sci
Pays: Netherlands
ID NLM: 101771568

Informations de publication

Date de publication:
May 2021
Historique:
accepted: 12 02 2021
entrez: 2 8 2021
pubmed: 3 8 2021
medline: 3 8 2021
Statut: epublish

Résumé

The incidence of cancer is higher among patients with end-stage renal disease but it remains uncertain whether a mild decrease in renal function affects cancer. To measure the effect of impaired renal function, represented by the estimated glomerular filtration rate (eGFR), personal health behaviors, and long-term exposure to fine particulate matter (PM We performed a population-based cohort study of 372 008 participants aged ≥30 yr with no prior cancer history using the MJ health examination database (2000-2015) and UC diagnosis data from the Taiwan Cancer Registry database. Cox proportional hazards models were used to quantify the association between eGFR and UC incidence. We detected 383 UC cases during a median follow-up of 10.3 yr. Low eGFR was significantly associated with UC ( Lower renal function showed a dose-response relationship in elevating UC risk. Long-term exposure to PM People with kidney function that is lower than normal should monitor the health of their kidneys and other organs in the urinary system. Our study confirmed that as well as smoking, exposure to fine particulate matter in the air may be a risk factor for cancers of the urinary system.

Sections du résumé

BACKGROUND BACKGROUND
The incidence of cancer is higher among patients with end-stage renal disease but it remains uncertain whether a mild decrease in renal function affects cancer.
OBJECTIVE OBJECTIVE
To measure the effect of impaired renal function, represented by the estimated glomerular filtration rate (eGFR), personal health behaviors, and long-term exposure to fine particulate matter (PM
DESIGN SETTING AND PARTICIPANTS METHODS
We performed a population-based cohort study of 372 008 participants aged ≥30 yr with no prior cancer history using the MJ health examination database (2000-2015) and UC diagnosis data from the Taiwan Cancer Registry database.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS METHODS
Cox proportional hazards models were used to quantify the association between eGFR and UC incidence.
RESULTS AND LIMITATIONS CONCLUSIONS
We detected 383 UC cases during a median follow-up of 10.3 yr. Low eGFR was significantly associated with UC (
CONCLUSIONS CONCLUSIONS
Lower renal function showed a dose-response relationship in elevating UC risk. Long-term exposure to PM
PATIENT SUMMARY RESULTS
People with kidney function that is lower than normal should monitor the health of their kidneys and other organs in the urinary system. Our study confirmed that as well as smoking, exposure to fine particulate matter in the air may be a risk factor for cancers of the urinary system.

Identifiants

pubmed: 34337511
doi: 10.1016/j.euros.2021.02.004
pii: S2666-1683(21)00039-2
pmc: PMC8317881
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-9

Informations de copyright

© 2021 The Author(s).

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Auteurs

Yung-Hsin Chuang (YH)

Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan.

I-Feng Lin (IF)

Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan.

Xiang Qian Lao (XQ)

Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China.

Changqing Lin (C)

Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong SAR, China.

Ta-Chien Chan (TC)

Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan.

Classifications MeSH