Joint model of multiple longitudinal measures and a binary outcome: An application to predict orthostatic hypertension for subacute stroke patients.
Stroke patients with orthostatic hypertensive responses that are one of the blood pressure regulation problems can easily fall down while doing rehabilitation, which may result in prolonged hospitalization and delayed treatment and recovery. This may result in increasing the medical cost and burden. In turn, developing a diagnostic test for the orthostatic hypertension (OH) is clinically important for patients who are suffering from stroke. Clinically, a patient needs to have a tilt testing that requires measuring the change of blood pressures and heart rate at all angles to determine whether a stroke patient has OH. It takes lots of time and effort to perform the test. Assuming there exist measurement errors when obtaining the blood pressures and heart rate at all angles, this paper proposes using multiple mixed-effect models to obtain the true trajectories of these measurements, which take into account the measurement error and the possible correlation among multiple measurements, and a logistic regression uses these true trajectories at a given time and other fixed-effect covariates as predictors to predict the status of OH. The joint likelihood function is derived to estimate parameters and the area under the receiver operating characteristics curve is used to estimate the predictive power of the model. Monte Carlo simulations are performed to evaluate the feasibility of the proposed methods. Also, the proposed model is implemented in the real data and provides an acceptable predictive power.
Department of Statistics, National Taipei University, Taipei, 104, Taiwan.
Yi-Ting
YT
Hwang
Department of Statistics, National Taipei University, Taipei, 104, Taiwan.
Chun-Chao
CC
Wang
Department of Statistics, National Taipei University, Taipei, 104, Taiwan.
Chiuan He
CH
Wang
Graduate Institute of Statistics, National Central University, Jhongli City, Taoyuan County, 110, Taiwan.
Yi-Kuan
YK
Tseng
Stroke Center and Department of Neurology, Chang Gung Memorial Hospital, Guishan District, Taoyuan City, 333, Taiwan.|College of Medicine, Chang Gung University, Taoyuan, Taoyuan City, 333, Taiwan.
Yeu-Jhy
YJ
Chang
D001699:Biometry / Q000379:methods*; D001794:Blood Pressure; D006339:Heart Rate; D006801:Humans; D006973:Hypertension / Q000150:complications* / Q000175:diagnosis* / Q000503:physiopathology; D008137:Longitudinal Studies; D015233:Models, Statistical; D009010:Monte Carlo Method; D011379:Prognosis; D012372:ROC Curve; D020521:Stroke / Q000150:complications*
Joint model; Logistic regression; Multiple longitudinal measures; Orthostatic hypertension; Random effect model; Receiving operating characteristic curve