{"id":4093,"date":"2023-01-18T00:00:00","date_gmt":"2023-01-18T05:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/journal-articles\/a-health-survey-based-prediction-equation-for-incident-ckd\/"},"modified":"2023-07-21T13:37:06","modified_gmt":"2023-07-21T17:37:06","slug":"a-health-survey-based-prediction-equation-for-incident-ckd","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/a-health-survey-based-prediction-equation-for-incident-ckd\/","title":{"rendered":"A health survey\u2013based prediction equation for incident CKD"},"content":{"rendered":"<p><strong>Background<\/strong> \u2014 Prediction tools that incorporate self-reported health information could increase CKD awareness, identify modifiable lifestyle risk factors, and prevent disease. We developed and validated a survey-based prediction equation to identify individuals at risk for incident CKD (eGFR &lt;60 ml\/min per 1.73 m<sup>2<\/sup>), with and without a baseline eGFR.<\/p>\n<p><strong><br \/>\nMethods<\/strong> \u2014 A cohort of adults with an eGFR \u226570 ml\/min per 1.73 m<sup>2<\/sup> from Ontario, Canada, who completed a comprehensive general population health survey between 2000 and 2015 were included (<em>n<\/em>=22,200). Prediction equations included demographics (age, sex), comorbidities, lifestyle factors, diet, and mood. Models with and without baseline eGFR were derived and externally validated in the UK Biobank (<em>n<\/em>=15,522). New-onset CKD (eGFR &lt;60 ml\/min per 1.73 m<sup>2<\/sup>) with \u22648 years of follow-up was the primary outcome.<\/p>\n<p><strong><br \/>\nResults<\/strong> \u2014 Among Ontario individuals (mean age, 55 years; 58% women; baseline eGFR, 95 (SD 15) ml\/min per 1.73 m<sup>2<\/sup>), new-onset CKD occurred in 1981 (9%) during a median follow-up time of 4.2 years. The final models included lifestyle factors (smoking, alcohol, physical activity) and comorbid illnesses (diabetes, hypertension, cancer). The model was discriminating in individuals with and without a baseline eGFR measure (5-year c-statistic with baseline eGFR: 83.5, 95% confidence interval [CI], 82.2 to 84.9; without: 81.0, 95% CI, 79.8 to 82.4) and well calibrated. In external validation, the 5-year c-statistic was 78.1 (95% CI, 74.2 to 82.0) and 66.0 (95% CI, 61.6 to 70.4), with and without baseline eGFR, respectively, and maintained calibration.<\/p>\n<p><strong><br \/>\nConclusions<\/strong> \u2014 Self-reported lifestyle and health behavior information from health surveys may aid in predicting incident CKD.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Background \u2014 Prediction tools that incorporate self-reported health information could increase CKD awareness, identify modifiable lifestyle risk factors, and prevent disease. We developed and validated a survey-based prediction equation to identify individuals at risk for incident CKD (eGFR &lt;60 ml\/min per 1.73 m2), with and without a baseline eGFR. Methods \u2014 A cohort of adults [&hellip;]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[63],"migration-helper-qa-sample-set":[],"class_list":["post-4093","journal_article","type-journal_article","status-publish","hentry","topic-decision-science"],"acf":{"citation":"Noel AJ, Eddeen AB, Manuel D, Rhodes E, Tangri N, Hundemer G, Tanuseputro P, Knoll G, Mallick R, Sood MM. <em>Clin J Am Soc Nephrol<\/em>. 2023; 18(1):28-35. Epub 2023 Jan 18.","source_url":"https:\/\/doi.org\/10.2215\/CJN.0000000000000035","ices_scientist":[1107,1323],"site":[6739],"research_program":[6743],"news_release":[7910],"journal_article":"","atlas":"","research_report":"","infographic":"","video":"","downloads":null,"links":null,"sitecore_item_id":"8361746D-04ED-4870-B544-F00CD9559FD6","sitecore_item_name":"A-health-survey-based-prediction-equation-for-incident-CKD","sitecore_field_values":"{\n  \"Title\": \"A health survey\u2013based prediction equation for incident CKD\",\n  \"Short title\": \"A health survey\u2013based prediction\",\n  \"Summary\": \"This study found that self-reported lifestyle and health behavior information from health surveys may aid in predicting incident CKD.\",\n  \"Citation\": \"<p>Noel AJ, Eddeen AB, Manuel D, Rhodes E, Tangri N, Hundemer G, Tanuseputro P, Knoll G, Mallick R, Sood MM. <em>Clin J Am Soc Nephrol<\/em>. 2023; 18(1):28-35. Epub 2023 Jan 18. DOI: <a href=\"https:\/\/doi.org\/10.2215\/CJN.0000000000000035\" title=\"opens external link\">https:\/\/doi.org\/10.2215\/CJN.0000000000000035<\/a><\/p>\",\n  \"Abstract\": \"<p><strong>Background<\/strong> &mdash; Prediction tools that incorporate self-reported health information could increase CKD awareness, identify modifiable lifestyle risk factors, and prevent disease. We developed and validated a survey-based prediction equation to identify individuals at risk for incident CKD (eGFR &lt;60 ml\/min per 1.73 m<sup>2<\/sup>), with and without a baseline eGFR.<\/p>n<p><strong>nMethods<\/strong> &mdash; A cohort of adults with an eGFR &ge;70 ml\/min per 1.73 m<sup>2<\/sup> from Ontario, Canada, who completed a comprehensive general population health survey between 2000 and 2015 were included (<em>n<\/em>=22,200). Prediction equations included demographics (age, sex), comorbidities, lifestyle factors, diet, and mood. Models with and without baseline eGFR were derived and externally validated in the UK Biobank (<em>n<\/em>=15,522). New-onset CKD (eGFR &lt;60 ml\/min per 1.73 m<sup>2<\/sup>) with &le;8 years of follow-up was the primary outcome.<\/p>n<p><strong>nResults<\/strong> &mdash; Among Ontario individuals (mean age, 55 years; 58% women; baseline eGFR, 95 (SD 15) ml\/min per 1.73 m<sup>2<\/sup>), new-onset CKD occurred in 1981 (9%) during a median follow-up time of 4.2 years. The final models included lifestyle factors (smoking, alcohol, physical activity) and comorbid illnesses (diabetes, hypertension, cancer). The model was discriminating in individuals with and without a baseline eGFR measure (5-year c-statistic with baseline eGFR: 83.5, 95% confidence interval [CI], 82.2 to 84.9; without: 81.0, 95% CI, 79.8 to 82.4) and well calibrated. In external validation, the 5-year c-statistic was 78.1 (95% CI, 74.2 to 82.0) and 66.0 (95% CI, 61.6 to 70.4), with and without baseline eGFR, respectively, and maintained calibration.<\/p>n<p><strong>nConclusions<\/strong> &mdash; Self-reported lifestyle and health behavior information from health surveys may aid in predicting incident CKD.<\/p>\",\n  \"ICES Scientists\": \"{B9979611-1657-47B5-B80F-08815BA48831}|{3178B170-580F-4CCA-A2D4-687D1150C87C}\",\n  \"Posted Date\": \"20230118T000000\",\n  \"Show on Publications Landing Page\": \"1\",\n  \"In The News\": \"{A378C214-EB41-4CBB-A165-CFB2CD9F03F9}\"\n}","previous_url":"https:\/\/www.ices.on.ca\/Publications\/Journal-Articles\/2023\/January\/A-health-survey-based-prediction-equation-for-incident-CKD"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ICES | A health survey\u2013based prediction equation for incident CKD<\/title>\n<meta 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