Prognostic Index in Critical Care: A Comprehensive Literature Review
Prognostic indices are essential for patient care in Intensive Care Units (ICUs), providing vital insights into patient outcomes and facilitating resource allocation. This research consolidates evidence about the foremost scoring systems, namely APACHE, SAPS, SOFA, and MPM, examining their prediction accuracies, limitations, and uses. Despite their extensive implementation, obstacles persist in standardizing their application across varied populations and incorporating them into dynamic clinical processes. Advances in machine learning and real-time data processing hold promise for boosting these systems' usability and precision.
Authors
- Gustavo Duarte Mendes (ORCID: https://orcid.org/0000-0001-8700-5709)
- Emı́lia Sousa (ORCID: https://orcid.org/0000-0002-5397-4672)
- Alberto M. Pereira (ORCID: https://orcid.org/0000-0002-1194-9866)
- Isabel Fonseca (ORCID: https://orcid.org/0000-0001-8984-1751)
- Guilherme Eccard Rezende da Cunha
- Edmur Azevedo Pugliesi (ORCID: https://orcid.org/0000-0003-3426-6619)
- Isabella Parreira de Assunção
- Hudson Henrique Gomes Pires
- Ygor Suzuki do Carmo
- Rodrigo Cordon Isaac
- Leonardo Scandolara
Institutions
- Universidade Federal do Triângulo Mineiro (BR)
Publication Details
- Journal
- Brazilian Journal of Implantology and Health Sciences
- Published
- 2024-11-24
- DOI
- https://doi.org/10.36557/2674-8169.2024v6n11p3558-3564
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00