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- Title
Accuracy of clinical indicators of the nursing diagnosis proposal on ocular dryness in intensive care.
- Authors
de Medeiros Araújo, Jéssica Naiara; Rocha Botarelli, Fabiane; Nunes de Lima Fernandes, Ana Paula; Clara Dantas, Ana; de Oliveira Lopes, Marcos Venícios; Fortes Vitor, Allyne
- Abstract
Objective: To analyze the clinical indicator accuracy of Ocular dryness nursing diagnostic proposal in adult patients in the Intensive Care Unit. Methods: This is a diagnostic accuracy study, with cross-sectional analytical design and quantitative approach. The sample consisted of 206 patients admitted to an adult Intensive Care Unit. An instrument designed according to variables related to sociodemographic and clinical data, clinical indicators, etiological factors, population at risk and associated conditions of Ocular dryness was applied. A latent class model was used to identify the prevalence of diagnosis and to identify clinical indicator specificity and sensitivity. Results: Among the study participants, 52.4% were male and had a mean age of 58.69 years (±14.61). The prevalence of Ocular dryness was 76.22%. The reduced tear volume and excessive mucous secretion clinical indicators showed high specificity values (81.63% and 99.99%, respectively). Moreover, extended blood vessels on the ocular surface, excessive mucous secretion, mucoid filaments and chemosis presented higher values for sensitivity (74.52%, 99.99%, 100.0% and 71.97%, respectively). Conclusion: After analyzing clinical indicator accuracy, it is concluded that five defining characteristics were able to present high values of specificity or sensitivity. This finding corroborates an accurate diagnostic inference, in order to enable the optimization of results in order to prevent the clinical decline related to the undesirable human response Ocular dryness.
- Subjects
INTENSIVE care units; KEY performance indicators (Management); DRY eye syndromes; CONFIDENCE intervals; CROSS-sectional method; QUANTITATIVE research; COMPARATIVE studies; CLINICAL medicine; DESCRIPTIVE statistics; SENSITIVITY &; specificity (Statistics); DATA analysis software; NURSING diagnosis; ADULTS
- Publication
Acta Paulista de Enfermagem, 2023, Vol 36, Issue 1, p1
- ISSN
0103-2100
- Publication type
Article
- DOI
10.37689/acta-ape/2023AO0246332