Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 5 de 5
Filtrar
Mais filtros








Base de dados
Intervalo de ano de publicação
2.
Nurs Stand ; 36(2): 70-75, 2021 Feb 03.
Artigo em Inglês | MEDLINE | ID: mdl-33511812

RESUMO

Bronchiectasis is a long-term respiratory disease in which there is permanent bronchial dilatation, and it is associated with recurrent cough, sputum production and respiratory tract infections. The incidence and prevalence of bronchiectasis is rising, but it can be challenging to identify and manage this disease. The British Thoracic Society published its latest guideline for bronchiectasis in adults in 2019. This article outlines the main recommendations of this guideline to enable nurses to provide evidence-based care for adult patients with bronchiectasis.


Assuntos
Bronquiectasia , Infecções Respiratórias , Adulto , Bronquiectasia/diagnóstico , Bronquiectasia/epidemiologia , Bronquiectasia/terapia , Medicina Baseada em Evidências , Humanos
3.
J Asthma ; 45(9): 758-65, 2008 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-18972291

RESUMO

OBJECTIVES: Dysfunctional breathing (DB) is recognized as an associated problem in patients with asthma and may be identified by the Nijmegen questionnaire. We conducted an observational study to determine if breathing control therapy (BCT) improved Nijmegen scores or asthma-related quality of life in patients attending a problem asthma clinic. METHODS: Nijmegen and Mini Asthma Quality of Life (Mini-AQLQ) questionnaires were completed. Patients with a positive Nijmegen (> or = 23, DB) were referred for BCT and progressive exercise testing (PET) to seek confirmation of dysfunctional breathing. Follow-up questionnaire data were collected at 6 months. RESULTS: A total of 102 patients were studied. The total mean Nijmegen score was 26.4 (range 1-61). Those with a score > or = 23 (DB group, n = 65, 64%) had significantly lower Mini-AQLQ (mean 2.83) than the non-DB group (n = 37, mean 4.12, 95% CI for difference 0.87, 1.87, p < 0.0001). There was a strong relationship between Nijmegen score and Mini-AQLQ (r = -0.63, p < 0.001) at baseline; 10 of 17 DB patients who completed PET showed inappropriate hyperventilation. Follow-up data, available for Nijmegen and Mini-AQLQ in 44 and 46 patients respectively, showed no significant change in either of these parameters. CONCLUSIONS: The strong relationship between Mini-AQLQ and Nijmegen scores and poor relationship between Nijmegen scores and PET-identified inappropriate hyperventilation suggest that a positive Nijmegen score overestimates the presence of dysfunctional breathing in patients with moderate to severe asthma. We found no evidence that a moderate intensity breathing control intervention had any impact on Nijmegen scores or asthma-related quality of life in this patient group.


Assuntos
Asma/fisiopatologia , Transtornos Respiratórios/fisiopatologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Asma/psicologia , Teste de Esforço , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Qualidade de Vida , Transtornos Respiratórios/psicologia , Testes de Função Respiratória , Adulto Jovem
4.
Diabetes Technol Ther ; 7(1): 58-71, 2005 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-15738704

RESUMO

Diabetes mellitus is an increasing public health problem. Insulin is an essential tool in the management of hyperglycemia, but methods of dose adjustment are purely empirical. The Intelligent Dosing System (IDS, Dimensional Dosing Systems, Inc., Wexford, PA) is a software suite that incorporates patient-specific, dose-response data in a mathematical model and then calculates the new dose of the medication needed to achieve the next desired therapeutic goal. We discuss the application of the IDS in insulin management. The IDS concept and the initial modeling used to construct an insulin doser are reviewed first. Additional data are then provided on the use of the IDS for titrating insulin therapy in a clinical setting. Finally, recent modifications in the IDS software and future applications of this technology for insulin dosing and diabetes management are discussed.


Assuntos
Glicemia/metabolismo , Diabetes Mellitus/tratamento farmacológico , Insulina/administração & dosagem , Insulina/uso terapêutico , Algoritmos , Inteligência Artificial , Relação Dose-Resposta a Droga , Jejum , Feminino , Humanos , Sistemas de Infusão de Insulina , Masculino , Pessoa de Meia-Idade , Análise de Regressão , Estudos Retrospectivos
5.
Diabetes Technol Ther ; 6(3): 326-35, 2004 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-15198835

RESUMO

The Intelligent Dosing System (IDS, Dimensional Dosing Systems, Inc., Wexford, PA) is a software suite that incorporates patient-specific, dose-response data in a mathematical model, and then calculates the new dose of agent needed to achieve the next desired therapeutic goal. We evaluated use of the IDS for titrating insulin therapy. The IDS was placed on handheld platforms and provided to practitioners to use in adjusting total daily insulin dose. Fasting glucose, random glucose, and hemoglobin A1c were used as markers against which insulin could be adjusted. Values of markers expected at the next follow-up visit, as predicted by the model, were compared with levels actually observed. For 264 patients, 334 paired visits were analyzed. Average age was 54 years, diabetes' duration was 10 years, and body mass index was 33.2 kg/m(2); 57% were female, 88% were African American, and 92% had type 2 diabetes. The correlation between IDS suggested and actual prescribed total daily dose was high (r = 0.99), suggesting good acceptability of the IDS by practitioners. Significant decreases in fasting glucose, random glucose, and hemoglobin A1c levels were seen (all P < 0.0001). No significant difference between average expected and observed follow-up fasting glucose values was found (145 vs. 149 mg/dL, P = 0.42), and correlation was high (r = 0.79). Mean observed random glucose value at follow-up was comparable to the IDS predicted level (167 vs. 168 mg/dL, P = 0.97), and correlation was high (r = 0.73). Observed follow-up hemoglobin A1c was higher than the value expected (7.9% vs. 7.4%, P < 0.0055), but correlation was good (r = 0.70). These analyses suggest the IDS is a useful adjunct for decisions regarding insulin therapy even when using a variety of markers of glucose control, and can be used by practitioners to assist in attainment of glycemic goals.


Assuntos
Glicemia/análise , Diabetes Mellitus Tipo 1/tratamento farmacológico , Sistemas de Infusão de Insulina , Inteligência Artificial , Desenho de Equipamento , Humanos , Insulina/administração & dosagem , Insulina/uso terapêutico , Monitorização Ambulatorial/métodos , Estados Unidos , United States Food and Drug Administration
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA