ArticleRevista da Escola de Enfermagem da U S P2022
Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort.
Article in Revista da Escola de Enfermagem da U S P, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Association Between Nursing Diagnoses and Mortality in Patients with Cardiac Disease: A Retrospective Cohort Study.Clinics and practice · 2026Article
- Association Between Nursing Diagnoses and Mortality in Hospitalized Patients with COVID-19: A Retrospective Cohort Study.Nursing reports (Pavia, Italy) · 2025Article
- Clinical management and outcomes in severe COVID-19: acute respiratory distress syndrome across two waves.Revista da Escola de Enfermagem da U S P · 2025Article
- Nursing diagnoses in patients with COVID-19 admitted to the intensive care unit: CROSS-MAPPING.Heliyon · 2024Article
- Prevalence and factors associated with the death of older people hospitalized due to Covid-19 in the state of Paraná.Revista da Escola de Enfermagem da U S P · 2024Article
- Diagnostic concordance among nursing clinical decision support system users: a pilot study.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Progress in Biosensors for the Point-of-Care Diagnosis of COVID-19.Sensors (Basel, Switzerland) · 2022Review
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Authors and funding
5 authors.
Funding
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Abstract
objectiveTo identify clinical indicators and nursing diagnoses with the highest risk of mortality in critically ill patients with COVID-19.
methodRetrospective cohort with the population of adults and elderly people with COVID-19 from an Intensive Care Unit. Categorical variables were described using absolute and relative frequencies and risk factors for mortality using Cox regression, with a confidence interval of 95%.
resultsThe main clinical indicators of COVID-19 patients were dyspnea, fever, fatigue, cough, among others, and the Nursing Diagnoses at higher risk of mortality were Ineffective protection, Ineffective tissue perfusion, Contamination, Ineffective Breathing Pattern, Impaired spontaneous ventilation, Acute confusion, Frailty syndrome, Obesity, and Decreased cardiac output. It is worth mentioning that there was little information about the diagnoses of Domains 9, 10, and 12.
conclusionThis research infers the need to monitor the clinical indicators dyspnea, fever, fatigue, cough, among others, and the Nursing Diagnoses with the highest risk of mortality Ineffective protection, Ineffective tissue perfusion, Contamination, Ineffective Breathing Pattern, Impaired spontaneous ventilation in critically ill patients.
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