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1.
Int J Gen Med ; 16: 2623-2632, 2023.
Article in English | MEDLINE | ID: mdl-37377779

ABSTRACT

Objective: To investigate the prognosis of patients with severe pulmonary infection combined with respiratory failure and analyze the influencing factors of prognosis. Methods: The clinical data of 218 patients with severe pneumonia complicated with respiratory failure were retrospectively analyzed. The risk factors were analyzed by univariate and multivariate logistic regression analyses. The risk nomogram and Bootstrap self-sampling method were used for internal inspection. Calibration curves and receiver operating characteristic (ROC) curve were drawn to assess the predictive ability of the model. Results: Among 218 patients, 118 (54.13%) cases had a good prognosis and 100 (45.87%) cases had a poor prognosis. Multivariate logistic regression analysis showed that the number of complicated basic diseases ≥5, APACHE II score >20, MODS score >10, PSI score >90, and multi-drug resistant bacterial infection were independent risk factors affecting the prognosis (P<0.05), and the level of Alb was an independent protective factor (P<0.05). The consistency index (C-index) was 0.775, and the Hosmer Lemeshow goodness-of-fit test showed that the model was not significant (P>0.05). The area under the curve (AUC) was 0.813 (95% CI: 0.778~0.895), with the sensitivity of 83.20%, and the specificity of 77.00%. Conclusion: The risk nomograph model had good discrimination and accuracy in predicting the prognosis of patients with severe pulmonary infection combined with respiratory failure, which may provide a basis for early identification and intervention of patients at clinical risk and improve the prognosis.

3.
Nan Fang Yi Ke Da Xue Xue Bao ; 32(4): 548-52, 2012 Apr.
Article in Chinese | MEDLINE | ID: mdl-22543140

ABSTRACT

OBJECTIVE: To investigate the effect of tumor necrosis factor-α (TNF-α) on nutritional status and proteolysis of respiratory muscle in a rat model of chronic obstructive pulmonary disease (COPD). METHODS: Ninety healthy male adult Wistar rats were randomly divided into model group (A) and normal control group (B). COPD malnutrition rat models were established by cigarettes smoke and nutrient limitation and divided into normal nutrition COPD group (A(1)), malnutrition COPD group (A(2)), and malnutrition COPD intervention group (A(3)). In group A(3), the rats received intravenous injection of TNF-α mAb (0.1 mg/kg). TNF-α levels in the serum and respiratory muscle homogenates were measured using enzyme-linked immunosorbent assay (ELISA), and plasma levels of glucose, albumin, and triglyceride were measured with an automatic biochemistry analyzer. High-performance liquid chromatography was used to measure the contents of 3-methylhistidine and tyrosine in the respiratory muscle homogenates. RESULTS: The serum TNF-α level and plasma levels of glucose and triglyceride were significantly higher but the plasma albumin level was significantly lower in group A(2) than in groups B, A(1), and A(3) (P<0.01). The contents of 3-MH and Tyr in the respiratory muscle homogenates were significantly higher in group A(2) than in the other 3 groups (P<0.01, P<0.01). TNF-α in the respiratory muscle showed a strong positive correlation to 3-MH and Tyr. CONCLUSION: TNF-α is one of the causes of increased proteolysis of the respiratory muscle.


Subject(s)
Nutritional Status , Pulmonary Disease, Chronic Obstructive/metabolism , Respiratory Muscles/metabolism , Tumor Necrosis Factor-alpha/pharmacology , Animals , Lung/pathology , Male , Proteolysis , Pulmonary Disease, Chronic Obstructive/pathology , Rats , Tobacco Products
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