title: Clinical indicators of ineffective airway clearance in children with acute respiratory infection.
abstract: The identification of clinical indicators with good predictive ability allows the nurse to minimize the existing variability in clinical situations presented by the patient and to accurately identify the nursing diagnosis, which represents the true clinical condition. The purpose of this study was to analyze the accuracy of NANDA-I clinical indicators of the nursing diagnosis ineffective airway clearance (IAC) in children with acute respiratory infection. This was a prospective cohort study conducted with a group of 136 children and followed for a period of time ranging from 6 to 10 consecutive days. For data analysis, the measures of accuracy were calculated for clinical indicators, which presented statistical significance in a generalized estimated equation model. IAC was present in 91.9% of children in the first assessment. Adventitious breath sounds presented the best measure of accuracy. Ineffective cough presented a high value of sensitivity. Changes in respiratory rate, wide-eyed, diminished breath sounds, and difficulty vocalizing presented high positive predictive values. In conclusion, adventitious breath sounds showed the best predictive ability to diagnose IAC in children with respiratory acute infection.
authors: Federal University of Maranhão, Fortaleza, Brazil.
authors: Livia Maia
authors: LM
authors: Pascoal
authors: Federal University of Ceará, Fortaleza, Brazil marcos@ufc.br.
authors: Marcos Venícios de Oliveira
authors: MV
authors: Lopes
authors: Federal University of Ceará, Fortaleza, Brazil.
authors: Viviane Martins
authors: VM
authors: da Silva
authors: Federal University of Ceará, Fortaleza, Brazil.
authors: Beatriz Amorim
authors: BA
authors: Beltrão
authors: Federal University of Ceará, Fortaleza, Brazil.
authors: Daniel Bruno Resende
authors: DB
authors: Chaves
authors: NANDA International, Kaukauna, WI, USA.
authors: T Heather
authors: TH
authors: Herdman
authors: Federal University of Rio Grande do Norte, Natal, Brazil.
authors: Ana Luisa Brandão de Carvalho
authors: AL
authors: Lira
authors: Federal University of Ceará, Fortaleza, Brazil.
authors: Iane Ximenes
authors: IX
authors: Teixeira
authors: Federal University of Ceará, Fortaleza, Brazil.
authors: Alice Gabrielle de Sousa
authors: AG
authors: Costa
mesh_terms: D000402:Airway Obstruction / Q000175:diagnosis* / Q000451:nursing; D006801:Humans; D007223:Infant; D009733:Nursing Diagnosis; D010371:Pediatric Nursing / Q000592:standards*; D011446:Prospective Studies; D056152:Respiratory Rate; D012135:Respiratory Sounds; D012141:Respiratory Tract Infections / Q000175:diagnosis* / Q000451:nursing
keywords: Clinical validation; diagnostic accuracy; nursing diagnosis; pediatric nursing