{"title":"预测心衰预后的心率变异性指数:从 PERL 和 ACCORD 队列中汲取的教训。","authors":"Kazuhiro Sugimoto","doi":"10.1111/jdi.14333","DOIUrl":null,"url":null,"abstract":"<p><p>This commentary highlights the role of heart rate variability (HRV) indices in predicting diabetic kidney disease (DKD) progression, based on findings from the PERL and ACCORD trials. HRV-derived measures from routine ECGs are shown to be strong predictors of rapid kidney function decline in both type 1 and type 2 diabetes, suggesting their potential utility in identifying individuals at high risk for DKD and guiding early preventive interventions.</p>","PeriodicalId":190,"journal":{"name":"Journal of Diabetes Investigation","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heart rate variability indices for predicting cardiorenal outcomes: A lesson from the PERL and ACCORD cohorts.\",\"authors\":\"Kazuhiro Sugimoto\",\"doi\":\"10.1111/jdi.14333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This commentary highlights the role of heart rate variability (HRV) indices in predicting diabetic kidney disease (DKD) progression, based on findings from the PERL and ACCORD trials. HRV-derived measures from routine ECGs are shown to be strong predictors of rapid kidney function decline in both type 1 and type 2 diabetes, suggesting their potential utility in identifying individuals at high risk for DKD and guiding early preventive interventions.</p>\",\"PeriodicalId\":190,\"journal\":{\"name\":\"Journal of Diabetes Investigation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Diabetes Investigation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/jdi.14333\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Investigation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jdi.14333","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heart rate variability indices for predicting cardiorenal outcomes: A lesson from the PERL and ACCORD cohorts.
This commentary highlights the role of heart rate variability (HRV) indices in predicting diabetic kidney disease (DKD) progression, based on findings from the PERL and ACCORD trials. HRV-derived measures from routine ECGs are shown to be strong predictors of rapid kidney function decline in both type 1 and type 2 diabetes, suggesting their potential utility in identifying individuals at high risk for DKD and guiding early preventive interventions.
期刊介绍:
Journal of Diabetes Investigation is your core diabetes journal from Asia; the official journal of the Asian Association for the Study of Diabetes (AASD). The journal publishes original research, country reports, commentaries, reviews, mini-reviews, case reports, letters, as well as editorials and news. Embracing clinical and experimental research in diabetes and related areas, the Journal of Diabetes Investigation includes aspects of prevention, treatment, as well as molecular aspects and pathophysiology. Translational research focused on the exchange of ideas between clinicians and researchers is also welcome. Journal of Diabetes Investigation is indexed by Science Citation Index Expanded (SCIE).