{Reference Type}: Journal Article {Title}: Towards better mortality prediction in cancer patients in the ICU: a comparative analysis of prognostic scales: systematic literature review. {Author}: Cabrera Losada A;Correa Oviedo MA;Herrera Villazón VC;Gil-Tamayo S;Molina CF;Gimenez-Esparza Vich C;Nieto Estrada VH; {Journal}: Med Intensiva (Engl Ed) {Volume}: 0 {Issue}: 0 {Year}: 2024 Aug 1 暂无{DOI}: 10.1016/j.medine.2024.07.009 {Abstract}: OBJECTIVE: To evaluate the predictive ability of mortality prediction scales in cancer patients admitted to intensive care units (ICUs).
METHODS: A systematic review of the literature was conducted using a search algorithm in October 2022. The following databases were searched: PubMed, Scopus, Virtual Health Library (BVS), and Medrxiv. The risk of bias was assessed using the QUADAS-2 scale.
METHODS: ICUs admitting cancer patients.
METHODS: Studies that included adult patients with an active cancer diagnosis who were admitted to the ICU.
METHODS: Integrative study without interventions.
METHODS: Mortality prediction, standardized mortality, discrimination, and calibration.
RESULTS: Seven mortality risk prediction models were analyzed in cancer patients in the ICU. Most models (APACHE II, APACHE IV, SOFA, SAPS-II, SAPS-III, and MPM II) underestimated mortality, while the ICMM overestimated it. The APACHE II had the SMR (Standardized Mortality Ratio) value closest to 1, suggesting a better prognostic ability compared to the other models.
CONCLUSIONS: Predicting mortality in ICU cancer patients remains an intricate challenge due to the lack of a definitive superior model and the inherent limitations of available prediction tools. For evidence-based informed clinical decision-making, it is crucial to consider the healthcare team's familiarity with each tool and its inherent limitations. Developing novel instruments or conducting large-scale validation studies is essential to enhance prediction accuracy and optimize patient care in this population.