2021
DOI: 10.7196/samj.2021.v111i3.14609
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A severity-of-illness score in patients with tuberculosis requiring intensive care

Abstract: This open-access article is distributed under Creative Commons licence CC-BY-NC 4.0.

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Cited by 2 publications
(3 citation statements)
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“…Predictors of hospital mortality were age, high APACHE IV score, mechanical ventilation, vasopressor therapy, RRT and hypoalbuminemia. Hypoalbuminemia is likely reflective of the inflammatory state of acute TB infection or underlying poor nutritional status 5 11 33–38. Like published cohorts, requirement for mechanical ventilation, vasopressor and RRT was associated with lower survival 4 39 40.…”
Section: Discussionmentioning
confidence: 83%
“…Predictors of hospital mortality were age, high APACHE IV score, mechanical ventilation, vasopressor therapy, RRT and hypoalbuminemia. Hypoalbuminemia is likely reflective of the inflammatory state of acute TB infection or underlying poor nutritional status 5 11 33–38. Like published cohorts, requirement for mechanical ventilation, vasopressor and RRT was associated with lower survival 4 39 40.…”
Section: Discussionmentioning
confidence: 83%
“…The revised model was streamlined to four parameters: septic shock, immunosuppression, acute kidney injury, and lack of lobar consolidation. 12 However, both the development and validation sample sizes were small, and the model was not well-validated, further limiting its clinical application.…”
Section: Discussionmentioning
confidence: 99%
“… 5 Although some researchers have attempted to develop predictive models for death in ICU patients with TB, the reliability and efficacy of these models have been questioned owing to the small sample sizes, wide variations in results, and the lack of further stratified analysis in some patients with SCAP. 11 , 12 Risk prediction models for mortality in PTB complicated by SCAP are rare. Therefore, the construction of a risk prediction model for mortality in PTB complicated by SCAP has significant clinical value for early prognostic evaluation, guiding clinical decision making and optimizing medical resource allocation.…”
Section: Introductionmentioning
confidence: 99%