{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:59:01Z","timestamp":1791593941026,"version":"4.3.4"},"reference-count":58,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2021,11,23]],"date-time":"2021-11-23T00:00:00Z","timestamp":1637625600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["European J of Heart Fail"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To evaluate the performance of the WATCH\u2010DM risk score, a clinical risk score for heart failure (HF), in patients with dysglycaemia and in combination with natriuretic peptides (NPs).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>\n                      Adults with diabetes\/pre\u2010diabetes free of HF at baseline from four cohort studies (ARIC, CHS, FHS, and MESA) were included. The machine learning\u2010 [WATCH\u2010DM(ml)] and integer\u2010based [WATCH\u2010DM(i)] scores were used to estimate the 5\u2010year risk of incident HF. Discrimination was assessed by Harrell's concordance index (C\u2010index) and calibration by the Greenwood\u2013Nam\u2013D'Agostino (GND) statistic. Improvement in model performance with the addition of NP levels was assessed by C\u2010index and continuous net reclassification improvement (NRI). Of the 8938 participants included, 3554 (39.8%) had diabetes and 432 (4.8%) developed HF within 5\u2009years. The WATCH\u2010DM(ml) and WATCH\u2010DM(i) scores demonstrated high discrimination for predicting HF risk among individuals with dysglycaemia (C\u2010indices\u00a0=\u00a00.80 and 0.71, respectively), with no evidence of miscalibration (GND\n                      <jats:italic>P<\/jats:italic>\n                      \u2009\u22650.10). The C\u2010index of elevated NP levels alone for predicting incident HF among individuals with dysglycaemia was significantly higher among participants with low\/intermediate (&lt;13) vs. high (\u226513) WATCH\u2010DM(i) scores [0.71 (95% confidence interval 0.68\u20130.74) vs. 0.64 (95% confidence interval 0.61\u20130.66)]. When NP levels were combined with the WATCH\u2010DM(i) score, HF risk discrimination improvement and NRI varied across the spectrum of risk with greater improvement observed at low\/intermediate risk [WATCH\u2010DM(i)\u2009&lt;13] vs. high risk [WATCH\u2010DM(i) \u226513] (C\u2010index\u00a0=\u00a00.73 vs. 0.71; NRI\u00a0=\u00a00.45 vs. 0.17).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The WATCH\u2010DM risk score can accurately predict incident HF risk in community\u2010based individuals with dysglycaemia. The addition of NP levels is associated with greater improvement in the HF risk prediction performance among individuals with low\/intermediate risk than those with high risk.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ejhf.2375","type":"journal-article","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T05:56:27Z","timestamp":1635918987000},"page":"169-180","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Incorporation of natriuretic peptides with clinical risk scores to predict heart failure among individuals with dysglycaemia"],"prefix":"10.1093","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6100-0897","authenticated-orcid":false,"given":"Matthew W.","family":"Segar","sequence":"first","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center  Dallas TX USA"},{"name":"Department of Cardiology, Texas Heart Institute  Houston TX USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Shahzeb","family":"Khan","sequence":"additional","affiliation":[{"name":"Division of Cardiology Duke University School of Medicine  Durham NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kershaw V.","family":"Patel","sequence":"additional","affiliation":[{"name":"Department of Cardiology Houston Methodist DeBakey Heart and Vascular Center  Houston TX USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muthiah","family":"Vaduganathan","sequence":"additional","affiliation":[{"name":"Brigham and Women's Hospital Heart and Vascular Center, Department of Medicine Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vaishnavi","family":"Kannan","sequence":"additional","affiliation":[{"name":"Clinical Informatics Center University of Texas Southwestern Medical Center  Dallas TX USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duwayne","family":"Willett","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center  Dallas TX USA"},{"name":"Clinical Informatics Center University of Texas Southwestern Medical Center  Dallas TX USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Peterson","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center  Dallas TX USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"W.H. 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