title: Nursing diagnoses in a Brazilian intensive care unit.
abstract: OBJECTIVE
  To identify the nursing diagnoses and their most frequent related factors or risk factors in patients admitted to an intensive care unit (ICU).
  
  
  METHODS
  Descriptive cross-sectional study with information from 991 admissions to an ICU during a 6-month period.
  
  
  RESULTS
  Sixteen nursing diagnoses resulting from hospitalization were most frequently identified; six had percentages greater than 40% with 29 related/risk factors. The resulting averages were 6.9 diagnoses per hospitalization and 1.2 related/risk factors per nursing diagnoses.
  
  
  CONCLUSIONS
  The nursing diagnoses identified seemed to be common to the clinical practice of nursing and their fundamental related/risk factors to precise clinical judgment, thus providing a basis for interventions for a desired outcome.
  
  
  CONCLUSIONS
  The findings have contributed to the development of the standardized nursing language usage in Brazilian nursing practices.
authors.affiliation: School of Nursing, Federal University of Rio Grande do Sul, Brazil. fatimalucena@terra.com.br
authors.forename: Amália
authors.initials: A
authors.lastname: de Fátima Lucena
authors.forename: Alba Lúcia Bottura Leite
authors.initials: AL
authors.lastname: de Barros
mesh_terms: D001938:Brazil; D002983:Clinical Competence; D003422:Critical Care / Q000458:organization & administration*; D003430:Cross-Sectional Studies; D006301:Health Services Needs and Demand; D006801:Humans; D007600:Judgment; D016294:Models, Nursing; D009733:Nursing Diagnosis / Q000145:classification / Q000706:statistics & numerical data*; D015403:Nursing Evaluation Research; D009736:Nursing Process / Q000458:organization & administration; D009741:Nursing Staff, Hospital / Q000193:education / Q000458:organization & administration; D017063:Outcome Assessment, Health Care; D010343:Patient Admission / Q000706:statistics & numerical data; D012189:Retrospective Studies; D012307:Risk Factors; D018875:Vocabulary, Controlled