Pulse Wave Velocity and Machine Learning to Predict Cardiovascular Outcomes in Prediabetic and Diabetic Populations.
Few studies have addressed the predictive value of arterial stiffness determined by pulse wave velocity (PWV) in a high-risk population with no prevalent cardiovascular disease and with obesity, hypertension, hyperglycemia, and preserved kidney function. This longitudinal, retrospective study enroll...
| Published in: | Journal of Medical Systems Vol. 44; no. 1; pp. 1 - 11 |
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| Main Authors: | , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Springer Nature
Jan2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141026237&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141026237 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Jan2020 vid: 44 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 141026237 141026237 141026237 10.1007/s10916-019-1479-y 141026237 ppf: 1 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Pulse Wave Velocity and Machine Learning to Predict Cardiovascular Outcomes in Prediabetic and Diabetic Populations. aug: au: Garcia-Carretero, Rafael Vigil-Medina, Luis Barquero-Perez, Oscar Ramos-Lopez, Javier affil: Department of Internal Medicine, Mostoles University Hospital, Rey Juan Carlos University, Móstoles, Spain sug: subj: Arterial Stiffness Evaluation Pulse Wave Velocity Blood Pressure Monitoring, Ambulatory Cardiovascular Diseases Risk Assessment Diabetic Patients Prediabetic State Hypertension Models, Statistical Spain Human Retrospective Design Prospective Studies Special Populations Tonometry Survival Analysis Cox Proportional Hazards Model Confidence Intervals Machine Learning Descriptive Statistics Chi Square Test Mann-Whitney U Test Wilcoxon Rank Sum Test Data Analysis Software Multivariate Analysis Obesity ab: Few studies have addressed the predictive value of arterial stiffness determined by pulse wave velocity (PWV) in a high-risk population with no prevalent cardiovascular disease and with obesity, hypertension, hyperglycemia, and preserved kidney function. This longitudinal, retrospective study enrolled 88 high-risk patients and had a follow-up time of 12.4 years. We collected clinical and laboratory data, as well as information on arterial stiffness parameters using arterial tonometry and measurements from ambulatory blood pressure monitoring. We considered nonfatal, incident cardiovascular events as the primary outcome. Given the small size of our dataset, we used survival analysis (i.e., Cox proportional hazards model) combined with a machine learning-based algorithm/penalization method to evaluate the data. Our predictive model, calculated with Cox regression and least absolute shrinkage and selection operator (LASSO), included body mass index, diabetes mellitus, gender (male), and PWV. We recorded 16 nonfatal cardiovascular events (5 myocardial infarctions, 5 episodes of heart failure, and 6 strokes). The adjusted hazard ratio for PWV was 1.199 (95% confidence interval: 1.09–1.37, p < 0.001). Arterial stiffness was a predictor of cardiovascular disease development, as determined by PWV in a high-risk population. Thus, in obese, hypertensive, hyperglycemic patients with preserved kidney function, PWV can serve as a prognostic factor for major adverse cardiac events. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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