Evidence map›Paper›PMID 42786455›Full record

ArticleBMC nephrology2026

Residential altitude, aerosol optical depth, and diagnostic composition of biopsy-confirmed renal diseases: a single-center renal biopsy study from Yunnan, China.

Xinyu Wang, Jian Xu, Meiyu Chen, Qiao Wang, Yaling Li, Yaling Yu, Feifei Liu, Chunli Liu, Yutaka Kakizoe, Ying Shen and 2 more

Abstract read
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Article in BMC nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Xinyu Wang *Department of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, Yunnan, China.
Jian Xu *Department of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, Yunnan, China.
Meiyu Chen *Department of Nephrology, The First People's Hospital of Yunnan Province, School of Medicine, Kunming University of Science and Technology, Kunming, Yunnan, China.
Qiao Wang *Department of Nephrology, The First People's Hospital of Yunnan Province, School of Medicine, Kunming University of Science and Technology, Kunming, Yunnan, China.
Yaling LiDepartment of Nephrology, The First People's Hospital of Yunnan Province, School of Medicine, Kunming University of Science and Technology, Kunming, Yunnan, China.
Yaling YuDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, Yunnan, China.
Feifei LiuDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, Yunnan, China.
Chunli LiuDepartment of Nephrology, The First People's Hospital of Yunnan Province, School of Medicine, Kunming University of Science and Technology, Kunming, Yunnan, China.
Yutaka KakizoeDepartment of Nephrology, Kumamoto University Graduate School of Medical Sciences, Kumamoto, Japan.
Ying ShenDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, Yunnan, China. 1402202854@qq.com.
Masashi MukoyamaDepartment of Nephrology, Kumamoto University Graduate School of Medical Sciences, Kumamoto, Japan. mmuko@kumamoto-u.ac.jp.
Qinyuan DengDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, Yunnan, China. deng835552032@gmail.com.ORCID http://orcid.org/0009-0001-7326-204X

Funding

the First People's Hospital of Yunnan Province, National Priority Clinical Specialty Cultivation Project for Nephrology 2026ZDZK-SZ01the First People's Hospital of Yunnan Province, National Priority Clinical Specialty Cultivation Project for Nephrology 2026ZDZK-SZ02the Special and Joint Program of the Yunnan Provincial Science and Technology Department and Kunming Medical University 202601AY070001-083
6 · The paper itself

Abstract

backgroundResidential altitude may influence human physiology and reflect broader environmental gradients, but its relationship with the diagnostic composition of biopsy-confirmed renal diseases remains unclear.

methodsWe retrospectively studied patients undergoing native kidney biopsy at The First People's Hospital of Yunnan Province, China, between February 2023 and February 2026. Residential altitude was derived from geocoded permanent addresses and analyzed using altitude quartiles and continuous models per 500-m increase. Restricted cubic spline analyses were performed as exploratory analyses. Environmental exposures were assigned according to geocoded residential coordinates and matched to the calendar year of kidney biopsy. Logistic regression and Firth penalized logistic regression compared biopsy-confirmed ANCA-associated renal vasculitis with other biopsy-confirmed renal diagnoses, with an additional sensitivity analysis using an expanded clinical-or-pathological ANCA outcome.

resultsAmong 1,602 patients, 1,593 had available altitude data. The overall distribution of renal pathological diagnoses did not differ across altitude quartiles. Exploratory restricted cubic spline analyses showed no significant altitude association for most major diagnoses, whereas ANCA-associated renal vasculitis demonstrated an inverse overall association without evidence of nonlinearity. In the selected multivariable model adjusted for age, sex, BMI, and ethnicity, each 500-m increase in altitude was associated with lower odds of biopsy-confirmed ANCA-associated renal vasculitis relative to other biopsy diagnoses (OR 0.51, 95% CI 0.34-0.77; P = 0.001). Similar results were observed in Firth penalized logistic regression. The association was attenuated after additional adjustment for distance to Kunming and AOD.

conclusionsIn this single-center biopsy-based cohort from Yunnan, residential altitude was not associated with broad differences in the overall spectrum of renal pathological diagnoses. Biopsy-confirmed ANCA-associated renal vasculitis accounted for a lower relative proportion of biopsy diagnoses at higher residential altitude, but this association was attenuated after accounting for geographic and environmental factors. These findings suggest that altitude-related patterns in renal biopsy diagnoses may reflect combined geographic, environmental, and referral-related gradients and should be interpreted within the context of a hospital-based biopsy population.

Indexed as

AltitudeAnti-Neutrophil Cytoplasmic Antibody-Associated VasculitisKidneyKidney DiseasesAdultAerosolsAgedBiopsyChinaFemaleHumansMaleMiddle AgedRetrospective StudiesAerosolsAerosol optical depthANCA-associated renal vasculitisEnvironmental exposureRenal biopsyRenal pathologyResidential altitude

Identifiers

PMID42786455
PMCPMC13613801

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.