Journal of critical care
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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
Randomized Controlled Trial Multicenter StudyGender differences in mortality and quality of life after septic shock: A post-hoc analysis of the ARISE study.
To assess the impact of gender and pre-menopausal state on short- and long-term outcomes in patients with septic shock. ⋯ This post-hoc analysis of a large multi-center trial in early septic shock has shown no short- or long-term survival effect for women overall as well as in the pre-menopausal age-group.
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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 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 StudyChanges in frailty among ICU survivors and associated factors: Results of a one-year prospective cohort study using the Dutch Clinical Frailty Scale.
Frailty is an important predictor for the prognosis of intensive care unit (ICU) patients. This study examined changes in frailty in the year after ICU admission, and its associated factors. ⋯ ClinicalTrials.gov database (NCT03246334).