{"title":"高血压患者非侧倾的临床危险因素和预测评分:一项病例对照研究。","authors":"Chavalit Chotruangnapa, Titima Tansakun, Weranuj Roubsanthisuk","doi":"10.1186/s40885-021-00180-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Night-time BP, especially non-dipper, is a stronger predictor of adverse cardiovascular outcomes. Ambulatory blood pressure monitoring (ABPM) is a gold standard for the detection of non-dippers but it often is unavailable and expensive. This study aims to determine clinical risk factors that predict non-dipper.</p><p><strong>Methods: </strong>An exploratory traditional case-control study, exclusive sampling of control was conducted from January 2013 to September 2018 to explore clinical risk factors associated with non-dippers in hypertensive patients. Subgroup analysis was performed in each treated and untreated hypertensive patient. The parsimonious predictive score for non-dippers was constructed.</p><p><strong>Results: </strong>The study included 208 hypertensive patients receiving 24 h ABPM. There were 104 dippers and 104 non-dippers. Significant clinical risk factors associated with non-dippers were the age of > 65 years, average office diastolic blood pressure (DBP), and fasting plasma glucose of > 5.6 mmol/L. Results of subgroup analysis showed that dyslipidemia, history of coronary artery disease, use of angiotensin-converting enzyme inhibitors (ACEIs) and direct vasodilators, average office DBP, and serum uric acid were associated with non-dippers in treated hypertensive patients, however, there were no risk factors associated with non-dippers in the untreated group. The predictive score for non-dippers in treated group included average office DBP, dyslipidemia, serum uric acid, male, calcium channel blockers and ACEIs use. The area under Receiver Operating Characteristic (AuROC) was 0.723. A cut-off point which was > 0.0701 and prevalence of non-dippers of 46%, this score had a sensitivity of 77.4%, specificity of 65.6%, positive predictive value (PPV) of 66.1%, and negative predictive value (NPV) of 79.6%. For untreated group, age, hemoglobin and body mass index were included in the predictive model. AuROC was 0.74. There was a sensitivity of 51.9%, specificity of 91.2%, PPV of 82.4%, and NPV of 70.5% at the cut-off point of > 0.357, and prevalence of 44%.</p><p><strong>Conclusion: </strong>There were several significant clinical risk factors associated with non-dippers in treated hypertensive patients. The predictive score might be useful for the detection of non-dippers; however, it cannot replace ABPM.</p>","PeriodicalId":10480,"journal":{"name":"Clinical Hypertension","volume":"27 1","pages":"22"},"PeriodicalIF":2.6000,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591836/pdf/","citationCount":"5","resultStr":"{\"title\":\"Clinical risk factors and predictive score for the non-dipper profile in hypertensive patients: a case-control study.\",\"authors\":\"Chavalit Chotruangnapa, Titima Tansakun, Weranuj Roubsanthisuk\",\"doi\":\"10.1186/s40885-021-00180-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Night-time BP, especially non-dipper, is a stronger predictor of adverse cardiovascular outcomes. Ambulatory blood pressure monitoring (ABPM) is a gold standard for the detection of non-dippers but it often is unavailable and expensive. This study aims to determine clinical risk factors that predict non-dipper.</p><p><strong>Methods: </strong>An exploratory traditional case-control study, exclusive sampling of control was conducted from January 2013 to September 2018 to explore clinical risk factors associated with non-dippers in hypertensive patients. Subgroup analysis was performed in each treated and untreated hypertensive patient. The parsimonious predictive score for non-dippers was constructed.</p><p><strong>Results: </strong>The study included 208 hypertensive patients receiving 24 h ABPM. There were 104 dippers and 104 non-dippers. Significant clinical risk factors associated with non-dippers were the age of > 65 years, average office diastolic blood pressure (DBP), and fasting plasma glucose of > 5.6 mmol/L. Results of subgroup analysis showed that dyslipidemia, history of coronary artery disease, use of angiotensin-converting enzyme inhibitors (ACEIs) and direct vasodilators, average office DBP, and serum uric acid were associated with non-dippers in treated hypertensive patients, however, there were no risk factors associated with non-dippers in the untreated group. The predictive score for non-dippers in treated group included average office DBP, dyslipidemia, serum uric acid, male, calcium channel blockers and ACEIs use. The area under Receiver Operating Characteristic (AuROC) was 0.723. A cut-off point which was > 0.0701 and prevalence of non-dippers of 46%, this score had a sensitivity of 77.4%, specificity of 65.6%, positive predictive value (PPV) of 66.1%, and negative predictive value (NPV) of 79.6%. For untreated group, age, hemoglobin and body mass index were included in the predictive model. AuROC was 0.74. There was a sensitivity of 51.9%, specificity of 91.2%, PPV of 82.4%, and NPV of 70.5% at the cut-off point of > 0.357, and prevalence of 44%.</p><p><strong>Conclusion: </strong>There were several significant clinical risk factors associated with non-dippers in treated hypertensive patients. The predictive score might be useful for the detection of non-dippers; however, it cannot replace ABPM.</p>\",\"PeriodicalId\":10480,\"journal\":{\"name\":\"Clinical Hypertension\",\"volume\":\"27 1\",\"pages\":\"22\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2021-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591836/pdf/\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Hypertension\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s40885-021-00180-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PERIPHERAL VASCULAR DISEASE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Hypertension","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s40885-021-00180-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
引用次数: 5
摘要
背景:夜间血压,尤其是非夜间血压,是心血管不良结局的一个较强的预测因子。动态血压监测(ABPM)是检测非浸入者的金标准,但它通常不可用且昂贵。本研究的目的是确定临床危险因素预测非倾覆。方法:2013年1月至2018年9月,采用传统的探索性病例对照研究,对高血压患者进行非侧翻相关的临床危险因素分析。对治疗和未治疗的高血压患者进行亚组分析。构建了非浸水者的简约预测分数。结果:本研究纳入208例接受24 h ABPM的高血压患者。有104个浸液者和104个非浸液者。与不尿床相关的重要临床危险因素为年龄> 65岁、平均办公室舒张压(DBP)和空腹血糖> 5.6 mmol/L。亚组分析结果显示,血脂异常、冠状动脉疾病史、血管紧张素转换酶抑制剂(ACEIs)和直接血管扩张剂的使用、平均办公室舒张压和血清尿酸与接受治疗的高血压患者不尿床相关,而未接受治疗的高血压患者不尿床没有相关的危险因素。治疗组非侧翻者的预测评分包括平均办公室舒张压、血脂异常、血清尿酸、男性、钙通道阻滞剂和acei使用情况。受试者工作特征(AuROC)下面积为0.723。截断点> 0.0701,未患率为46%,该评分的敏感性为77.4%,特异性为65.6%,阳性预测值为66.1%,阴性预测值为79.6%。未治疗组的预测模型包括年龄、血红蛋白和体重指数。AuROC为0.74。在临界值> 0.357时,敏感性为51.9%,特异性为91.2%,PPV为82.4%,NPV为70.5%,患病率为44%。结论:在高血压治疗患者中,有几个显著的临床危险因素与不翻斗有关。预测分数可能对检测非浸水者有用;然而,它不能取代ABPM。
Clinical risk factors and predictive score for the non-dipper profile in hypertensive patients: a case-control study.
Background: Night-time BP, especially non-dipper, is a stronger predictor of adverse cardiovascular outcomes. Ambulatory blood pressure monitoring (ABPM) is a gold standard for the detection of non-dippers but it often is unavailable and expensive. This study aims to determine clinical risk factors that predict non-dipper.
Methods: An exploratory traditional case-control study, exclusive sampling of control was conducted from January 2013 to September 2018 to explore clinical risk factors associated with non-dippers in hypertensive patients. Subgroup analysis was performed in each treated and untreated hypertensive patient. The parsimonious predictive score for non-dippers was constructed.
Results: The study included 208 hypertensive patients receiving 24 h ABPM. There were 104 dippers and 104 non-dippers. Significant clinical risk factors associated with non-dippers were the age of > 65 years, average office diastolic blood pressure (DBP), and fasting plasma glucose of > 5.6 mmol/L. Results of subgroup analysis showed that dyslipidemia, history of coronary artery disease, use of angiotensin-converting enzyme inhibitors (ACEIs) and direct vasodilators, average office DBP, and serum uric acid were associated with non-dippers in treated hypertensive patients, however, there were no risk factors associated with non-dippers in the untreated group. The predictive score for non-dippers in treated group included average office DBP, dyslipidemia, serum uric acid, male, calcium channel blockers and ACEIs use. The area under Receiver Operating Characteristic (AuROC) was 0.723. A cut-off point which was > 0.0701 and prevalence of non-dippers of 46%, this score had a sensitivity of 77.4%, specificity of 65.6%, positive predictive value (PPV) of 66.1%, and negative predictive value (NPV) of 79.6%. For untreated group, age, hemoglobin and body mass index were included in the predictive model. AuROC was 0.74. There was a sensitivity of 51.9%, specificity of 91.2%, PPV of 82.4%, and NPV of 70.5% at the cut-off point of > 0.357, and prevalence of 44%.
Conclusion: There were several significant clinical risk factors associated with non-dippers in treated hypertensive patients. The predictive score might be useful for the detection of non-dippers; however, it cannot replace ABPM.