Open AccessApplication of Multivariate Generalized Linear Mixed Model to Identify Effect of Dialysate Temperature on Physiologic Indicators among Hemodialysis Patients
Author(s) -
Omid Hamidi,
Seyed Reza Borzu,
Saman Maroufizadeh,
Payam Amini
Publication year - 2021
Publication title -
journal of biostatistics and epidemiology
Language(s) - English
Resource type - Journals
eISSN - 2383-420X
pISSN - 2383-4196
DOI - 10.18502/jbe.v7i3.7298
Subject(s) - hemodialysis , blood pressure , medicine , dialysis , pulse pressure , multivariate statistics , pulse rate , pulse (music) , cardiology , hemodynamics , repeated measures design , multivariate analysis , surgery , mathematics , statistics , detector , electrical engineering , engineering
One of the complications of hemodialysis treatment is hypotension, which can increase morbidity and mortality and compromise dialysis efficacy. Dialysate temperature is an important factor that contributes to hemodynamic stability during hemodialysis. This study investigated the effect of dialysate temperature on the patients' blood pressure and pulse rate. Model-based approaches were used to produce more reliable results compared with traditional methods.
Methods: A total of 30 patients were studied during 9 dialysis sessions. Dialysate temperatures were 37° C, 36° C and 35° C. A joint longitudinal model was used to analyze both responses of blood pressure and pulse rate, simultaneously.
Results: The results showed that low-dialysate temperature was not significantly associated with higher systolic blood pressure (p>0.05) or a higher pulse rate (p>0.05) either during or after dialysis. Pulse rate and blood pressure were higher for women during dialysate (p<0.001). However, increasing age was associated with higher blood pressure and a lower pulse rate (p<0.001).
Conclusion: Using several separate, repeated measure analysis of variances may produce misleading results, when there is more than one response variable measured over time, Multivariate statistical methods (including joint longitudinal models), should be used.