Название: Acute Kidney Injury - Basic Research and Clinical Practice
Автор: Группа авторов
Издательство: Ingram
Жанр: Медицина
Серия: Contributions to Nephrology
isbn: 9783318063110
isbn:
Fig. 2. National institute for health and care excellence (NICE) AKI risk assessment flowchart.
The approach to the patient should be the following:
F1: refer the patient to a “clinical scenario” where the patient’s signs and symptoms and the surrounding circumstances and risks are reviewed and considered;
F2: interview the patient or his/her relatives and review the “past history” with a goal of identifying the level of susceptibility and intensity of exposures;
F3: conduct a “physical examination” on the patient aiming at characterizing hemodynamic instability, volume depletion or fluid overload and signs/source of infection, if any;
F4: analyze “laboratory results” including possible AKI biomarkers to complete the patient risk stratification.
This AKI F4 model is considered collaborated with the electronic medical record to alert caregivers to the risk assessment results.
Fig. 3. The composition of the acute kidney injury risk assessment (ARA) is based on the analysis of 4 following items: actual clinical scenario, past history, physical examination and laboratory analysis.
There are several AKI risk assessment scores in specific fields, like cardiac surgery. AKI is one of the common complications after cardiac surgery with high incidence and mortality. Therefore, early identification is crucial in preventing CSA-AKI. In the last decades, several risk scores were generated to improve the outcome of patients [23–25]. However, further evidence is needed to validate these risk scores in a larger population.
Conclusions
AKI has been identified as a commonly occurring independent risk factor for causing morbidity and mortality. Given that there are no effective therapies to treat AKI, prevention is critical to improve outcomes. The quality of assessing AKI risk shall be improved for effective prevention. The methodology of quality measure shall be scientific and reasonable.
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