Clinical profile and predictors of in-hospital mortality in critically ill adults with sepsis: an integrative review

• Autor(a) principal: Cruz, Daniel Alves
• Data de Publicação: 2022
• Outros Autores: Silva, Pedro Victor Sousa, Silva, Keila Maria Paiva da, Nascimento , Isabel Rodrigues do, Araújo , Beatriz Nascimento Vieira de, Silva, Iracema Teixeira da, Costa, Iaciara Silva, Sousa, Glaciane Pereira de, Sousa, Lecássia Nunes de, Sousa, José Nilton Mendes de
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Research, Society and Development
• Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/31905
• topic: Sepse; Mortalidade hospitalar; Unidades de terapia intensiva.; Sepsis; Mortalidad Hospitalaria; Unidades de Cuidados Intensivos.; Sepsis; Hospital Mortality; Intensive Care Units.

Sepsis is an important cause of death in patients with infection, having substantial impact on health worldwide. The use of in-hospital mortality predictors becomes an alternative for the management of critically ill adult patients with sepsis, as it plays important diagnostic, therapeutic and prognostic roles, reducing deaths in intensive care units. Thus, this study aimed to identify in the literature the main predictors of prognosis and clinical profile for mortality in adult patients admitted to Intensive Care Units (ICU) with sepsis. Searches were performed in electronic journals Medline/Pubmed, Scopus, Web of Science and LILACS, from studies published between 2017 and 2022, using the guiding question: What are the main predictors of prognosis and clinical profile for mortality from sepsis in adult patients admitted to Intensive Care Units (ICU)? A total of 18 publications were included in this review, which identified the presence of advanced age, comorbidities, infections by antibiotic-resistant bacteria, prolonged length of stay and use of invasive procedures or equipment as clinical profile and predisposing variables for increased mortality from sepsis. Therefore, health professionals should know the common impacts of the use of these predictors in patients with sepsis in intensive care unit, minimizing higher percentages of death in the population and appearance of sequelae after treatment, helping to guide a quality care based on scientific evidence.