{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T12:10:10Z","timestamp":1781093410254,"version":"3.54.1"},"reference-count":52,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T00:00:00Z","timestamp":1749772800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"National Natural Science Foundation of China Youth Foundation","award":["82300795"],"award-info":[{"award-number":["82300795"]}]},{"name":"Scientific Research Project of Capital Health Development","award":["2020-2-4079"],"award-info":[{"award-number":["2020-2-4079"]}]},{"name":"CAMS Innovation Fund for Medical Sciences","award":["2019-I2M-5-046"],"award-info":[{"award-number":["2019-I2M-5-046"]}]},{"name":"National High Level Hospital Clinical Research Funding","award":["2023SF55"],"award-info":[{"award-number":["2023SF55"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Perit Dial Int"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Although the impact of air pollutants on infectious diseases is well-known, there is limited evidence regarding its effects on peritoneal dialysis (PD) patients. This study aimed to investigate the association between air pollutants and PD-related peritonitis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This is an observational study affiliated to the PD Telemedicine-assisted Platform Cohort Study (PDTAP study), which is a national-level cohort study in China. The primary outcome was PD-related peritonitis, and the secondary outcomes were peritonitis-related death and transfer to hemodialysis. The pollution data were obtained from China High Air Pollutants according to the patients\u2019 place of residence. The association between pollutants and outcomes was evaluated by cause-specific Cox proportional hazard regression model. The patients were divided into the high-pollution group and low-pollution group according to the median value of PM\n                      <jats:sub>2.5<\/jats:sub>\n                      (53.90\u2005\u03bcg\/m\n                      <jats:sup>3<\/jats:sup>\n                      ) and the WHO standard of PM\n                      <jats:sub>2.5<\/jats:sub>\n                      (35.00\u2005\u03bcg\/m\n                      <jats:sup>3<\/jats:sup>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 7439 PD patients from all 7 geographical regions across China were enrolled between June 2016 and April 2019. There were 1585 patients who developed peritonitis during follow-up. The pollution was most severe in the north and central regions of China. Patients in the high-pollution group were characterized by older age, higher BMI, lower income, from rural and non-university affiliated hospitals, and had more comorbidities and better residual renal function. In multivariate analysis, PM\n                      <jats:sub>2.5<\/jats:sub>\n                      and its components (SO\n                      <jats:sub>4<\/jats:sub>\n                      , NO\n                      <jats:sub>3<\/jats:sub>\n                      , NH\n                      <jats:sub>4<\/jats:sub>\n                      , OM, and BC), PM\n                      <jats:sub>10<\/jats:sub>\n                      , NO\n                      <jats:sub>2<\/jats:sub>\n                      , and CO were associated with increased peritonitis risk (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009&lt;\u20090.001\u20130.027). Additionally, following the propensity score matching to control for key individual-level covariates, the association between PM\n                      <jats:sub>2.5<\/jats:sub>\n                      and its components, NO\n                      <jats:sub>2<\/jats:sub>\n                      , and CO with elevated peritonitis risk remained significant (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009&lt;\u20090.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In this national large-scale Chinese PD cohort study, air pollutants were found to be associated with increased risk for peritonitis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/08968608251348814","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T03:12:29Z","timestamp":1749784349000},"page":"355-367","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Association of air pollutants exposure and increased risk of peritoneal dialysis-related peritonitis: An observational study from PDTAP cohort"],"prefix":"10.1177","volume":"46","author":[{"given":"Shuang","family":"Gao","sequence":"first","affiliation":[{"name":"Renal Division, Department of Medicine, Peking University First Hospital; Institute of Nephrology, Peking University; Key Laboratory of Renal Disease, Ministry of Health; Key Laboratory of Renal Disease, Ministry of Education, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Yang","sequence":"additional","affiliation":[{"name":"Renal Division, Department of 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