Autor: |
E, Grassedonio, L, Incorvaia, M, Guarneri, G, Giubbini, A G, de Belvis, M, Midiri |
Jazyk: |
italština |
Rok vydání: |
2022 |
Předmět: |
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Popis: |
The use of organo-iodinated contrast media (CM) in diagnostics and intervention has increased in the last 10 years. It is necessary to distinguish between the different types of contrast agent, primarily with respect to osmolarity: with low osmolarity the safety profile for the patient is higher. The risk of acute renal injury caused by contrast agent (PC-AKI) is however determined also by risk factors related to the patient. Particularly in main centers, it is advisable to have a standardized program in order to stratify patients with respect to risk, to define prevention strategies and the roles of the specialists involved. The experience described in this work consists in the application of an organizational model relating to CT, with a feasibility study of applying an evidence-based check-list in the clinical routine, as a tool to support clinical decisions (Clinical Decision Support System, CDSS) in the oncology field. A pilot evaluation was carried out on 54 patients belonging to the case series treated in a Teaching Hospital, in a day service regime with a diagnosis of solid tumor. The results of this evaluation led the working group to believe that the CDSS thus structured determines the possibility of overestimating the clinical risk of PC-AKI, and consequently to redefine the evaluation form. Experience has shown that it is not generally easy to immediately identify an algorithm useful for standardizing the management of clinically complex situations, such as PC-AKI prevention. The conduction of pilot evaluations can be a valid instrument of harmonization between the solidity of the references deriving from evidence based medicine and the tangibility of real world data. It is advisable to broaden the application of the CDSS more in a larger number of cases, as well as conduct a pre-post analysis relating to the clinical impact in terms of incidence from PC-AKI. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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