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AA - Materials and Processes for Micro and Nano Technologies
Theses at Politecnico
Predictive algorithm for the analysis of clinical data from a fluid sampling system realted to a continuous renal replacement therapy (dialysis)
keywords CLINICAL TRIALS, DATA ANALYSIS, DIALYSIS, DYNAMIC MODELING
Reference persons VALENTINA ALICE CAUDA
External reference persons Prof. Gianluca Villa -Ospedale Careggi Firenze
Research Groups AA - Materials and Processes for Micro and Nano Technologies
Thesis type ALGORITHMS, CLINICAL DATA, CRITICAL CARE, DATA FITTING, EMODIALISI, MODELING AND DATA ANALYSIS
Description CLINICAL CONTEXT AND PROBLEM: Acute kidney injury (AKI) is frequently observed in critically ill patients in intensive care unit (ICU). Extracorporeal blood purification therapies, mainly continuous renal replacement therapy (CRRT), are often used in these patients to support the renal function. These treatments work by removing solutes and waste substances through haemodiafiltration membrane. The amount of purification during CRRT identifies the concept of "dose", that is the amount of clearance desired for a given solute. The ability of solutes to pass through the membrane and be eliminated within the waste fluids is dynamically and unpredictably reduced by “membrane fouling”, i.e. clogging of pores of haemodiafiltration membrane due to several causes. The resulting unintentional "undertreatment" can have a detrimental effect on patient outcome, so that careful and frequent monitoring of the “current effective delivered dose” is recommended.
THE RESEARCH TOPIC IN WHICH THE MASTER THESIS IS INSERTED: To make this happen, a system is developed to sample fluids from the extracorporeal circuit to quantify the actual biological dose administered during continuous dialysis treatment. The system provides for automatic sampling of the biological material, collected in a controlled manner, with a suitable speed and volume, from the sampling sites present in the pre-filter, post-filter and effluent lines. To assess the adequacy of the sampling system, the calculation of the percentage error of mass balance for a particular solute is used. A specific cause of “membrane fouling”, which may have a direct effect on extracorporeal transmembrane clearance of water and waste solutes, is clogging of the pores of the haemodiafiltration membrane due to the release of particles into the extracorporeal circuit.
ROLE OF THE MASTER STUDENT: The Master student willl work in synergy in a multidisciplinary group of clinicians and engineers to analyze a series of in vitro and clinical data sampled from this device and assist in the identification of trends, membrane fouling, pressure drops in the machine, and a mathematical formulation as well as a predictive algorithm to model the system in different operative conditions.
Required skills solid mathematics foundations , data analysis, data fitting
motivations to operate in a multidisciplinary environment
Deadline 12/07/2024
PROPONI LA TUA CANDIDATURA