Michael Resl, Stephanie Neuhold, Michaela Riedl, Heidemarie Abrahamian, Guido Strunk, Rudolf Prager, Martin Clodi, Martin Hülsmann, Anton Luger, Richard Pacher
{"title":"NT-proBNP and cardiac events in older diabetic patients.","authors":"Michael Resl, Stephanie Neuhold, Michaela Riedl, Heidemarie Abrahamian, Guido Strunk, Rudolf Prager, Martin Clodi, Martin Hülsmann, Anton Luger, Richard Pacher","doi":"10.1177/1741826710389362","DOIUrl":null,"url":null,"abstract":"<p><p>NT-proBNP is an excellent predictor of adverse events in patients with diabetes mellitus. Due to an aging population it is of interest to determine whether NT-proBNP can predict cardiac events with equal precision in subgroups with different ages. 1395 outpatients with diabetes mellitus were recruited for this prospective observational study. NT-proBNP, renal function, lipid status and other demographic variables were measured at baseline. The cohort was divided into three groups: Group I (609 patients under 60 years of age), group II (634 patients ranging from 60-75) and group III (152 patients older than 75). Patients were followed during a mean observation period of 11 months, 75 patients reached the defined endpoint, which was unplanned hospitalization due to a cardiac event. Mean age was 60 ± 30 years, mean HbA(1c) was 7.6% and mean NT-proBNP was 242 ± 437 pg/ml. In a multiple Cox regression model, age (hazard ratio (HR) 11.18, p < 0.01) and the absence of a cardiac disease (HR 0.49, p < 0.01) were important variables for short-term prognosis. The addition of the logarithm of NT-proBNP provided independent prognostic information (HR 1.81 p < 0.01) and significantly increased the explained variance of the model (χ(2 )= 22.93; d.f. = 1; p < 0.01). More importantly, the predictive power of this model was similar in different age-groups. The prognostic information of NT-proBNP was not influenced by age and this biomarker remained a reliable predictor of short-term cardiac events in patients with diabetes mellitus aged 75 years or older.</p>","PeriodicalId":50492,"journal":{"name":"European Journal of Cardiovascular Prevention & Rehabilitation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1741826710389362","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Cardiovascular Prevention & Rehabilitation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1741826710389362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2011/2/22 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
NT-proBNP is an excellent predictor of adverse events in patients with diabetes mellitus. Due to an aging population it is of interest to determine whether NT-proBNP can predict cardiac events with equal precision in subgroups with different ages. 1395 outpatients with diabetes mellitus were recruited for this prospective observational study. NT-proBNP, renal function, lipid status and other demographic variables were measured at baseline. The cohort was divided into three groups: Group I (609 patients under 60 years of age), group II (634 patients ranging from 60-75) and group III (152 patients older than 75). Patients were followed during a mean observation period of 11 months, 75 patients reached the defined endpoint, which was unplanned hospitalization due to a cardiac event. Mean age was 60 ± 30 years, mean HbA(1c) was 7.6% and mean NT-proBNP was 242 ± 437 pg/ml. In a multiple Cox regression model, age (hazard ratio (HR) 11.18, p < 0.01) and the absence of a cardiac disease (HR 0.49, p < 0.01) were important variables for short-term prognosis. The addition of the logarithm of NT-proBNP provided independent prognostic information (HR 1.81 p < 0.01) and significantly increased the explained variance of the model (χ(2 )= 22.93; d.f. = 1; p < 0.01). More importantly, the predictive power of this model was similar in different age-groups. The prognostic information of NT-proBNP was not influenced by age and this biomarker remained a reliable predictor of short-term cardiac events in patients with diabetes mellitus aged 75 years or older.
NT-proBNP是糖尿病患者不良事件的一个很好的预测因子。由于人口老龄化,确定NT-proBNP能否在不同年龄的亚组中以相同的精度预测心脏事件是一个有趣的问题。这项前瞻性观察性研究招募了1395名糖尿病门诊患者。在基线时测量NT-proBNP、肾功能、血脂状态和其他人口统计学变量。该队列分为三组:I组(609例60岁以下患者),II组(634例60-75岁患者)和III组(152例75岁以上患者)。在平均11个月的观察期内,75例患者达到了定义的终点,即因心脏事件而非计划住院。平均年龄60±30岁,平均HbA(1c)为7.6%,平均NT-proBNP为242±437 pg/ml。在多重Cox回归模型中,年龄(风险比(HR) 11.18, p