Introduction Eosinophilic gastroenteritis (EGE) is a rare idiopathic disease that can affect one or more organs of the digestive tract. It has an estimated incidence of 1–20 cases per 100,000 patients. Klein et al. classified EGE into 3 subtypes: predominant mucosal, muscular, or subserosal. Clinical Case We report a case of a 32-year-old woman, who presented with diffuse abdominal pain, nausea, postprandial infarction, diarrhea, and moderate ascites of three-week evolution. The rest of physical examination did not show alterations. The past medical history was unremarkable. Laboratory test results revealed peripheral blood eosinophilia. Abdominal CT scan revealed diffuse and concentric parietal thickening of the distal 2/3 of esophagus, moderate volume ascites, and small bowel wall thickening and distension on the left quadrants. The paracentesis revealed 93.3% of eosinophils. The colon biopsies evidenced an increase in the number of eosinophils. Secondary causes of eosinophilia were excluded. The patient was treated with oral prednisolone 40 mg/day with immediate clinical and analytical improvement. Conclusion Eosinophilic gastroenteritis is a rare condition with a nonspecific and highly variable clinical presentation, which requires a high level of clinical suspicion. It is a diagnosis of exclusion. Secondary causes of eosinophilia such as intestinal tuberculosis, parasitosis, and malignant neoplasms should be excluded.
To discuss priorities and possibilities for promoting international collaboration and new research evidence on NANDA International, Inc. (NANDA-I). METHODS: Theoretical reflection article based on the literature and the authors' opinions on the subject matter, carried out by six research nurses. CONCLUSIONS: International research collaboration for NANDA-I allows the improvement of research production in an actual clinical setting, especially with multicenter and validation studies, conducted by researchers from different countries. This provides for improved understanding of patients' experiences and may help to produce robust scientific evidence. IMPLICATIONS FOR NURSING KNOWLEDGE:The generation of new evidence may lead to an increase in NANDA-I visibility and in nurses' understanding of its meaning for clinical practice and for the formulation of diagnostic hypotheses.
Objective. To identify the nursing diagnoses through reports in the medical records of patients monitored in a specialized ischemic heart disease outpatient clinic.Methods. Cross-sectional study with retrospective data collection in the medical records. From the data collected, the nursing diagnoses were proposed by the researchers and submitted for validation by specialist cardiology nurses.Results. A total of 13 nursing diagnoses were evaluated from the medical records of 50 outpatients with the following validation agreements among the specialists: Ineffective health management (100%), Noncompliance (100%), Sedentary lifestyle (100%), Activity intolerance (100%), Decreased cardiac output (88%), Risk of decreased cardiac tissue perfusion (65%), Risk of intolerance to activity (65%), Acute pain (76%), Ineffective health maintenance (65%), Risk-prone health behavior (65%), Risk for decreased cardiac output (65%), Risk for intolerance to activity (65%), Ineffective respiratory pattern (53%), Impaired memory (29%).Conclusion. In this study, the nursing diagnoses validated for stable heart disease patients were linked to adherence to treatment and to the cardiovascular responses of the patients, reinforcing the importance of early intervention. These results allow the multidisciplinary team to individualize the goals and interventions proposed for ischemic heart disease patients.Descriptors: ambulatory care; cross-sectional studies; nursing diagnosis; outpatients; nursing process; myocardial ischemia.How to cite this article: Cardoso PC, Caballero LG, Ruschel KB, Moraes MAP, Silva ERR. Profile of the nursing diagnoses in stable heart disease patients. Invest. Educ. Enferm. 2019; 37(2):e08.ReferencesWorld Health Organization. World Health Statistics 2018: monitoring health for the SDGs, sustainable development goals [Internet]. Geneva: WHO; 2018 [cited: 7 May 2019]. Available from: https://www.who.int/gho/publications/world_health_statistics/2018/en/ Ministério da Saúde. Informações de Saúde (TABNET) - Assistência à Saúde. DATASUS. Departamento de Informatica a Serviço do SUS [Internet]. 2016 [cited: 7 May 2019]. 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