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HbA<jats:sub>1c<\/jats:sub> serves as a crucial indicator for monitoring blood glucose control in patients with diabetes. Nevertheless, the relationship between visit-to-visit HbA<jats:sub>1c<\/jats:sub> variability and prognosis in peritoneal dialysis with diabetes remains unclear.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>All participants were categorized into 3 groups based on the HbA<jats:sub>1c<\/jats:sub> variability score (HVS), which is the frequency of 0.5% (5.5\u00a0mmol\/mol) alter in visit-to-visit HbA<jats:sub>1c<\/jats:sub> values. Then, the hazard ratio to HVS with all-cause mortality was analyzed using the Cox hazard model, followed by the Fine-Gray competing risk model for major adverse cardiovascular events. Subgroup and sensitivity analysis were conducted to ascertain the robustness of the findings.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Eight hundred twenty patients with type 2 diabetes were finally enrolled in this study from 2,855 participants with a mean age of 56.9\u2009\u00b1\u200914.6\u00a0years and a median follow-up time of 44\u00a0months [IQR: 27\u201370], death occurred in 496 (60.2%) individuals. Compared with the lowest category (HVS\u2009&lt;\u20091\/3) after being adjusted by potential confounding factors, the hazard ratio for all-cause mortality was 4.59 (3.74\u20135.64) and the sub-distribution hazard ratio for major adverse cardiovascular events was 1.91 (1.46\u20132.51) of the highest category (HVS\u2009\u2265\u20092\/3). Subgroup interaction and sensitivity analysis, including the adjustment for variables such as time-weighted average HbA<jats:sub>1c<\/jats:sub>, HbA<jats:sub>1c<\/jats:sub> measurement times and expansion, confirmed the reliability of the results.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The HVS is related to the risk of poor prognosis in peritoneal dialysis with type 2 diabetes mellitus, independently of clinical multiple variables, and is a novel indicator with clinical guidance.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12882-023-03348-2","type":"journal-article","created":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T16:02:04Z","timestamp":1696003324000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Visit-to-visit HbA1c variability is associated with poor prognosis in peritoneal dialysis patients with type 2 diabetes mellitus"],"prefix":"10.1186","volume":"24","author":[{"given":"Fengping","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taotao","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoran","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunying","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guilin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,9,29]]},"reference":[{"issue":"3","key":"3348_CR1","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.diabres.2013.03.030","volume":"100","author":"X Yang","year":"2013","unstructured":"Yang X, Yi C, Liu X, et al. 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