Rabindra Nath Das

Title : Relationship of mean arterial pressure with other cardiac and biological factors

Abstract:

Objectives: The report focuses the associations of mean arterial pressure (MAP) for shock patients based on probabilistic modeling with a real data set of 113 shock patients.

Background:  The relationship of MAP with the other cardiac and biological factors is very complicated which has been very little studied based on probabilistic modeling.   

Material & Methods: A real data set of 113 shock patients with 20 study variables is considered in the report, which is available in the site http://www.umass.edu/statdata/statdata/data/shock.txt  A probabilistic model of MAP has been derived herein with statistical joint generalized linear models.

Results: The MAP is positively associated with age (P<0.0001), cardiac index (CI) (P<0.0001), hemoglobin (P=0.0504), urinary output (UO) (P=0.0566), diastolic blood pressure (DBP) (P<0.0001), systolic blood pressure (SBP) (P<0.0001), joint interaction effects of red cell index (RCI) & body surface index (BSI) (RCI*BSI) (P=0.0434), plasma volume index (PVI)*DBP (P<0.0001), mean central venous pressure (MCVP) & heart rate (HR) (MCVP*HR) (P=0.0104), MCVP*DBP (P<0.0001), while it is negatively associated with BSI (P=0.0081), MCVP (P<0.0001), mean circulation time (MCT) (P=0.0004), hematocrit (HCT)*PVI (P=0.0356), UO*AGE (P=0.0012), SBP*HR (P<0.0001), DBP*SBP (P<0.0001). Variance of MAP is negatively associated with RCI (P<0.0001), BSI (P<0.0001), CI (P=0.0009). sex (P=0.0352), shock type at level 3 (P=0.0194), DBP (P=0.0001), HCT*HR (P=0.0009), DBP*MCVP (P=0.0225), while it is positively associated with RCI*HCT (P<0.0001), BSI*HR (P=0.0029), CI*HR (P=0.0033),  SBP*DBP (P=0.0373) and BSI*DBP (P=0.0027).

Conclusion: MAP is higher at older ages. It increases if SBP, or DBP, or CI, or UO, or HG, or MCVP*HR, or MCVP*DBP, or RCI*BSI, or PVI*DBP increases. It decreases if MCVP, or BSI, or MCT, or PVI*HCT, UO*Age, or SBP*HR, or DBP*SBP increases.

Biography:

Rabindra Nath Das is a Professor in the Department of Statistics, The University of Burdwan, Burdwan, West Bengal, India. He holds Ph. D., in Statistics, from The University of Burdwan, India, and Post-Doc from Seoul National University, Seoul, Korea. He has authored about 112 research articles, and along with a research Monograph entitled- Robust Response Surfaces, Regression, and Positive Data Analyses, published from CRC Press, Taylor & Francis, Chapman & Hall. He wrote research articles on Design of experiments, Regression Analysis, Demography, Quality Engineering, Civil Engineering, Epidemiology, Medical sciences, Environmental, Natural sciences etc. His special area of interest is on Design of experiments, Regression analysis, Quality Engineering and Epidemiology. He has received ‘Gopal Kanji Prize 2009’ by The Journal of Applied Statistics and Routledge publications’ for the best article published in volume 36(7), pp. 755-767 of the journal, entitled– ‘A measure of robust slope-rotatability for second-order response surface experimental designs’. He has received certi?cate of appreciation for outstanding research by the Editor-In-Chief, Journal of Thyroid Science, given in the Journal Website (for the paper– Das, R.N. (2011). “The Role of Iodine in the Thyroid Status of Mothers and Their Neonates,” Thyroid Science, Vol. 6, No. 2, pp. 1-15). He is acting as Editor, Associate Editor, Executive Editor, Editorial Board Member of more than 100 Journals in Statistics, Physical Sciences, Medical Sciences. Recently he had been acting as a Research Professor in Data Science for Knowledge Creation Research Center, Statistics Department, Seoul National University, South Korea for six months from September 2018 to February 2019.