A novel system for haemodialysis efficiency monitoring

dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorAzar A.T.
dc.contributor.otherElectrical Communication and Electronics Systems Engineering Department
dc.contributor.otherModern Science and Arts University (MSA)
dc.contributor.other26 July Mehwar Road intersection with Wahat Road
dc.contributor.other6th of October City
dc.contributor.otherEgypt
dc.date.accessioned2020-01-25T19:58:31Z
dc.date.available2020-01-25T19:58:31Z
dc.date.issued2011
dc.descriptionScopus
dc.description.abstractA novel system dynamics (simulation) model is developed to evaluate the effect of dialysis policies on session performance, quantify, optimise dialysis efficiency and monitor dialysis performance online. The developed system focuses on analysing and highlights factors which may alter the delivered dose and may lead to session degradation This will help increase the achievement of adequate haemodialysis to a level consistent with or higher than national adequacy statistics, in order to reduce the morbidity rate of the haemodialysis patient. The simulation results and the statistical analysis revealed that there is no statistically significant difference between the calculated results and the measured results. This system dynamics model is considered the novel system that calculates the dialysis session performance as a function of not only dialysis adequacy but also the intradialytic complications and overall equipment effectiveness. Copyright � 2011 Inderscience Enterprises Ltd.en_US
dc.identifier.doihttps://doi.org/10.1504/IJHTM.2011.039626
dc.identifier.issn13682156
dc.identifier.otherhttps://doi.org/10.1504/IJHTM.2011.039626
dc.identifier.urihttps://cutt.ly/4r1ymh3
dc.language.isoEnglishen_US
dc.relation.ispartofseriesInternational Journal of Healthcare Technology and Management
dc.relation.ispartofseries12
dc.subjectFeedback systemsen_US
dc.subjectFormal urea kinetic modelingen_US
dc.subjectHaemodialysisen_US
dc.subjectHaemodialysis adequacy Kt/Ven_US
dc.subjectOptimum haemodialysis doseen_US
dc.subjectSystem dynamicsen_US
dc.subjectarticleen_US
dc.subjectfemaleen_US
dc.subjecthemodialysisen_US
dc.subjecthemodialysis patienten_US
dc.subjecthemodynamicsen_US
dc.subjecthumanen_US
dc.subjectmaleen_US
dc.subjectmorbidityen_US
dc.subjectpatient monitoringen_US
dc.subjectsimulationen_US
dc.subjectstatistical analysisen_US
dc.titleA novel system for haemodialysis efficiency monitoringen_US
dc.typeArticleen_US
dcterms.isReferencedByAzar, A.M., Abdalla, S.A., Wahba, K., Analyzing the dynamic implications for improving hemodialysis session performance by system dynamics modeling (2006) 24th International Conference of the System Dynamics Society, pp. 1-30. , 23-27 July, Nijmegen, The Netherlands; Azar, A.T., Wahba, K., Mohamed, A.S.A., Massoud, W.A., Association between dialysis dose improvement and nutritional status among hemodialysis patients (2007) American Journal of Nephrology, 27 (2), pp. 113-119. , DOI 10.1159/000099836; Balci, O., Principles and techniques of simulation validation, verification, and testing (1995) Proceedings of the 27th Conference on Winter Simulation, pp. 147-154. , ACM Press; Borah, M.F., Schoenfeld, P.Y., Gotch, F.A., Nitrogen balance during intermittent dialysis therapy of uremia (1978) Kidney International, 14 (5), pp. 491-500; Brimble, K.S., Treleaven, D.J., St Onge, J., Carlisle, E.J., Risk factors for increased variability in dialysis delivery in haemodialysis patients (2003) Nephrology Dialysis Transplantation, 18 (10), pp. 2112-2117. , DOI 10.1093/ndt/gfg297; Chertow, G.M., Owen, W.F., Lazarus, J.M., Lew, N.L., Lowrie, E.G., Exploring the reverse J-shaped curve between urea reduction ratio and mortality (1999) Kidney International, 56 (5), pp. 1872-1878. , DOI 10.1046/j.1523-1755.1999.00734.x; Daugirdas, J.T., Second generation logarithmic estimates of single-pool variable volume Kt/V: An analysis of error (1993) J. Am. Soc. Nephrol., 4, pp. 1205-1213; Daugirdas, J.T., Depner, T.A., A nomogram approach to hemodialysis urea modeling (1994) American Journal of Kidney Diseases, 23 (1), pp. 33-40; De Palma, J.R., Pittard, J.D., Dialysis dose (parts i & II) (2001) Dial Transplant, 30 (4), pp. 252-265. , and Vol. 30, No. 5, pp.315-324; Forrester, J.W., (1961) Industrial Dynamics, , MIT Press: Cambridge, MA; Gotch, F.A., The current place of urea kinetic modelling with respect to different dialysis modalities (1998) Nephrology Dialysis Transplantation, 13 (SUPPL. 6), pp. 10-14; Gotch, F.A., Kt/V Is the best dialysis dose parameter' (2000) Blood Purif, 18, pp. 276-285; Hakim, R.M., Breyer, J., Ismail, N., Schulman, G., Effects of dose of dialysis on morbidity and mortality (1994) American Journal of Kidney Diseases, 23 (5), pp. 661-669; Hume, R., Weyers, E., Relationship between total body water and surface area in normal and obese subjects (1971) J. Clin. Pathol., 24, pp. 234-238; Kessler, E., Ritchey, N.P., Castro, F., Caccamo, L.P., Carter, K.J., Erickson, B.A., Urea reduction ratio and urea kinetic modeling: A mathematical analysis of changing dialysis parameters (1998) American Journal of Nephrology, 18 (6), pp. 471-477; Kooman, J.P., Van Der Sande, F.M., Leunissen, K.M.L., Kt/V: Finding the tree within the woods (2001) Nephrology Dialysis Transplantation, 16 (9), pp. 1749-1752; Liangos, O., Rao, M., Ruthazer, R., Balakrishnan, V.S., Modi, G., Pereira, B.J.G., Jaber, B.L., Factors associated with urea reduction ratio in acute renal failure (2004) Artificial Organs, 28 (12), pp. 1076-1081. , DOI 10.1111/j.1525-1594.2004.00023.x; Lindsay, R.M., Spanner, E., Heidenhiem, A.P., Which comes first, Kt/V or PCR-chicken or egg? (1992) Kidney Lnt., 42 (SUPPL. 38), pp. 32-36; Lowrie, E.G., Lew, N.L., The urea reducton ratio (URR): A simple method for evaluating hemodialysis treatment (1991) Contemp. Dial Nephrol, 12, pp. 11-20; Mallick, N.P., Hutchinson, A., Patel, M., Harty, J., Factors influencing dialysis outcome: The dialysis dose in perspective (1998) Nephrology Dialysis Transplantation, 13 (SUPPL. 6), pp. 152-157. , DOI 10.1093/ndt/13.suppl-6.152; Mellits, E.D., Cheek, D.B., The assessment of body water and fatness from infancy to adulthood (1970) Monogr. Soc. Res. Child Dev., 35, pp. 12-26; Port, F.K., Ashby, V.B., Dhingra, R.K., Roys, E.C., Wolfe, R.A., Dialysis dose and body mass index are strongly associated with survival in hemodialysis patients (2002) Journal of the American Society of Nephrology, 13 (4), pp. 1061-1066; Richmond, B., (2000) The 'Thinking' in Systems Thinking: Seven Essential Skills, , Pegasus Communications, Waltham, MA; Sargent, J., Gotch, F., Principles and biophysics of dialysis (1996) Replacement of Renal Function by Dialysis, pp. 188-230. , Jacobs, C., Kjellstrand, C., Koch, K. and Winchester, J. (Eds.), Kluwer Academic Publishers, Dordrecht, The Netherlands; Sargent, R.G., Verification and validation of simulation models' (1998) Proceedings of the 30th Conference on Winter Simulation, pp. 121-130. , IEEE Computer Society Press; Sehgal, A.R., Snow, R.J., Singer, M.E., Amini, S.B., DeOreo, P.B., Silver, M.R., Cebul, R.D., Barriers to adequate delivery of hemodialysis (1998) American Journal of Kidney Diseases, 31 (4), pp. 593-601; Sharma, A.K., Espinosa, P., Bell, L., Tom, A., Rodd, C., Multicompartment urea kinetics in well-dialyzed children (2000) Kidney International, 58 (5), pp. 2138-2146; Sharma, A.K., Reassessing hemodialysis adequacy in children: The case for more (2001) Pediatric Nephrology, 16 (4), pp. 383-390. , DOI 10.1007/s004670000542; Sterman, J.D., (2000) Business Dynamics: Systems Thinking and Modeling for A Complex World, , Irwin McGraw-Hill, Boston, MA; Watson, P.E., Watson, I.D., Batt, R.D., Total body water volumes for adult males and females estimated from simple anthropometric measurements (1980) American Journal of Clinical Nutrition, 33 (1), pp. 27-39
dcterms.sourceScopus

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
avatar_scholar_256.png
Size:
6.31 KB
Format:
Portable Network Graphics
Description: