{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T11:52:52Z","timestamp":1781610772137,"version":"3.54.5"},"reference-count":32,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T00:00:00Z","timestamp":1778457600000},"content-version":"vor","delay-in-days":71,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Health Bureau, the Government of HKSAR","award":["COVID19F08"],"award-info":[{"award-number":["COVID19F08"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,16]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Evidence on health outcomes and healthcare use in chronic kidney disease (CKD) patients without COVID-19 is scarce.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We applied an interrupted time series analysis on population-based data in Hong Kong, analyzing individuals first diagnosed with CKD from January 2010 to April 2022. We evaluated changes in all-cause mortality, kidney failure, cardiovascular diseases (CVD), and healthcare utilization across four periods: pre-pandemic (January 2012-January 2020), early pandemic (February 2020\u2013January 2021), interwave (February 2021\u2013December 2021), and Omicron (January 2022\u2013April 2022). Seasonality-adjusted Quasi-Poisson regression models and subgroup analyses by age, sex, Charlson Comorbidity Index, and CKD stage were conducted.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>All-cause mortality increased significantly by Incidence rate ratio (IRR) ((95% confidence interval (CI)): 1.012 (1.006\u20131.018)) during the interwave period. The incidence of kidney failure (IRR (95% CI): 0.850 (0.782\u20130.923)) and CVD decreased (IRR (95% CI): 0.867 (0.769\u20130.978)) during the early pandemic period. During the interwave period, CVD incidence increased (IRR (95% CI): 1.155 (1.084\u20131.231)), while kidney failure incidence did not. Subgroup analysis indicated reduced healthcare use and increased mortality rates in CKD Stage 3\u2013 4 patients during the early pandemic and interwave periods, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>There were delayed diagnoses of CVD and an increase in mortality rate among CKD patients without COVID-19 after the first wave in Hong Kong. The increased mortality may have resulted from reduced healthcare utilization and delayed access to care among these high-risk patients. This study underscores the need for contingency plans to continue following-up and monitoring patients with CKD (eg teleconsultation) during future public health crises.)<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/joneph\/aajaf051","type":"journal-article","created":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T16:27:02Z","timestamp":1778516822000},"page":"267-278","source":"Crossref","is-referenced-by-count":0,"title":["Indirect effect of the COVID-19 pandemic on mortality, complications, and healthcare utilization among people with Chronic Kidney Disease in Hong Kong: an interrupted time series analysis"],"prefix":"10.1093","volume":"39","author":[{"given":"Yuk Kam","family":"Yau","sequence":"first","affiliation":[{"name":"Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong , Hong Kong 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