{"title":"Developing a nomogram to identify patients at risk of orthostatic hypotension in Chinese patients.","authors":"Suli Zheng, Min Pan, Pingping Wu, Wenqin Cai","doi":"10.1097/MBP.0000000000000760","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to explore the factors associated with orthostatic hypotension and to develop a nomogram to predict the risk of orthostatic hypotension.</p><p><strong>Methods: </strong>Orthostatic hypotension is defined as a fall in systolic blood pressure (SBP) of at least 20 mmHg or diastolic blood pressure (DBP) of at least 10 mmHg within 3 min of standing. In this cross-sectional analysis, 1708 patients were collected from January 2016 to June 2018. These patients were divided into the orthostatic hypotension group and the non-orthostatic hypotension group. The variables were selected by least absolute shrinkage and selection operator (LASSO) regression. The characteristic variables selected in the LASSO regression were analyzed using multivariable logistic regression to construct the predictive model. The predictive model was displayed using a nomogram. The model performances were evaluated by the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis.</p><p><strong>Results: </strong>The prevalence of orthostatic hypotension was 14.3% in this study. The LASSO and multivariable logistic regression analyses suggested that age, diabetes duration, seat SBP, supine SBP, and albumin were associated with orthostatic hypotension. The AUC of the nomogram was 0.796 [95% confidence interval (CI): 0.759-0.834] in the training set and 0.832 (95% CI: 0.780-0.885) in the validation set. Calibration curves were drawn and showed acceptable predictive performance, and the decision curve analysis showed that the proposed nomogram had strong clinical applicability.</p><p><strong>Conclusion: </strong>Age, diabetes duration, seat SBP, supine SBP, and albumin were associated with orthostatic hypotension. The nomogram model established by the factors provided an effective way to forecast the risk of orthostatic hypotension.</p>","PeriodicalId":8950,"journal":{"name":"Blood Pressure Monitoring","volume":" ","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Pressure Monitoring","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MBP.0000000000000760","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study aimed to explore the factors associated with orthostatic hypotension and to develop a nomogram to predict the risk of orthostatic hypotension.
Methods: Orthostatic hypotension is defined as a fall in systolic blood pressure (SBP) of at least 20 mmHg or diastolic blood pressure (DBP) of at least 10 mmHg within 3 min of standing. In this cross-sectional analysis, 1708 patients were collected from January 2016 to June 2018. These patients were divided into the orthostatic hypotension group and the non-orthostatic hypotension group. The variables were selected by least absolute shrinkage and selection operator (LASSO) regression. The characteristic variables selected in the LASSO regression were analyzed using multivariable logistic regression to construct the predictive model. The predictive model was displayed using a nomogram. The model performances were evaluated by the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis.
Results: The prevalence of orthostatic hypotension was 14.3% in this study. The LASSO and multivariable logistic regression analyses suggested that age, diabetes duration, seat SBP, supine SBP, and albumin were associated with orthostatic hypotension. The AUC of the nomogram was 0.796 [95% confidence interval (CI): 0.759-0.834] in the training set and 0.832 (95% CI: 0.780-0.885) in the validation set. Calibration curves were drawn and showed acceptable predictive performance, and the decision curve analysis showed that the proposed nomogram had strong clinical applicability.
Conclusion: Age, diabetes duration, seat SBP, supine SBP, and albumin were associated with orthostatic hypotension. The nomogram model established by the factors provided an effective way to forecast the risk of orthostatic hypotension.
期刊介绍:
Blood Pressure Monitoring is devoted to original research in blood pressure measurement and blood pressure variability. It includes device technology, analytical methodology of blood pressure over time and its variability, clinical trials - including, but not limited to, pharmacology - involving blood pressure monitoring, blood pressure reactivity, patient evaluation, and outcomes and effectiveness research.
This innovative journal contains papers dealing with all aspects of manual, automated, and ambulatory monitoring. Basic and clinical science papers are considered although the emphasis is on clinical medicine.
Submitted articles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.