Journal of critical care
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Journal of critical care · Feb 2020
Acute kidney injury as a risk factor of hyperactive delirium: A case control study.
Delirium and acute kidney injury (AKI) are common organ dysfunctions during critical illness. Both conditions are associated with serious short- and long-term complications. We investigated whether AKI is a risk factor for hyperactive delirium. ⋯ AKI stage 3 is independently associated with hyperactive delirium. Further research is required to explore the factors that contribute to this association.
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Journal of critical care · Feb 2020
Review Historical ArticleThe history of critical care in Kenya.
Critical care is a young specialty in Kenya. From its humble beginnings in the 1960s to present day Kenya, the bulk of this service has largely been provided by anaesthetists. We provide a detailed account of the growth and development of this specialty in our country, the attempts made by our people to grow this service within our borders and the vital role our international partners have played throughout this process. We also share a selection of our successes over the years, the challenges we have faced and our aspirations as we look to the future.
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Journal of critical care · Feb 2020
Multicenter StudyAssessment of the current capacity of intensive care units in Uganda; A descriptive study.
To describe the organizational characteristics of functional ICUs in Uganda. ⋯ This study shows limited accessibility to critical care services in Uganda. With a high variability in the ICU operational characteristics, there is a need for standardization of ICU care in the country.
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Journal of critical care · Feb 2020
Multicenter StudyMachine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer.
To develop and compare the predictive performance of machine-learning algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 days (30-day QALY). ⋯ Except for basic decision trees, predictive models derived from different machine-learning algorithms discriminated the QALY risk at 30 days well. Regarding calibration, artificial neural network model presented the best ability to estimate 30-day QALY in critically ill oncologic patients admitted to ICUs.
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Journal of critical care · Feb 2020
Multicenter StudyTHAI-ICU score as a simplified severity score for critically ill patients in a resource limited setting: Result from SEA-AKI study group.
To create a simplified ICU scoring system to predict mortality in critically ill patients that can be feasibly applied in resource limited setting with good performance of predicting hospital mortality. ⋯ The THAI-ICU score is a new simplified severity score for predicting hospital mortality. The simplicity of the score will increase the possibility to apply in resource limited settings.