west china medical publishers
Keyword
  • Title
  • Author
  • Keyword
  • Abstract
Advance search
Advance search

Search

find Keyword "pulmonary fungal infection" 3 results
  • Clinical and Etiology Research of Invasive Pulmonary Fungal Disease

    Objective To summarize the clinical features, predisposing factors, diagnosis, therapeutic outcome, and prognosis of invasive pulmonary fungal infection( IPFI) . Methods 90 cases with pathologically proved IPFI, admitted in non-intensive care unit in Xiangya Hospital from January 2005 to February 2012, were retrospectively analyzed. Results The pathogenic examination revealed Aspergillosis in 56 cases( 62. 2% ) , Cryptococcus in 18 cases( 20. 0% ) , Mucormycosis in 6 cases( 6. 7% ) , and Histoplasma in 6 cases( 6. 7% ) , etc. The underlying diseases were reported in 87 cases, and mainly included COPD, pulmonary tuberculosis, and diabetes mellitus. Cough and expectoration were the common clinical symptoms. 49 patients ( 54. 4% ) received long-term and broad-spectrum antibiotic therapy. The CT results revealed masses type in 25 cases( 27. 8%) , nodule lesions type in 15 cases( 16. 7% ) , lung consolidation type in 22 cases( 24. 4% ) , cavity type in 22 cases( 24. 4% ) , aspergilloma type in 6 cases( 6. 7% ) . 47 patients were clinical diagnosed with IPFI before biopsy with preliminary diagnosis accordance rate of 52. 2% . 31 cases ( 34. 4% ) underwent surgical resection of pulmonary lesions, and no recurrence was detected over two-year follow up. 56 cases ( 62. 2% ) received systemic anti-fugal therapy, and 43 cases( 76. 8% ) were cured or significantly improved. 3 cases ( 3. 3% ) refused any therapy. Conclusions The most frequently isolated pathogen of IPFI is Aspergillosis. The mainly underlying diseases are COPD, pulmonary tuberculosis, and diabetes mellitus. Long-termand broad-spectrum antibiotic therapy may be the major risk factor. Pathological examination is needed for final diagnosis. Surgical procedure can achieve optimal prognosis.

    Release date: Export PDF Favorites Scan
  • Clinical Analysis of Elderly Patients with Chronic Obstructive Pulmonary Disease with Nosocomial Pulmonary Fungal Infection

    【摘要】 目的 探讨老年慢性阻塞性肺疾病(COPD)患者院内肺部真菌感染的可能易患因素、感染时间、临床特征、感染常见真菌与预后。 方法 回顾性分析36例65岁以上COPD 院内肺部真菌感染患者与同期40例65岁以上COPD院内肺部非真菌感染患者的临床资料。 结果 老年COPD患者院内肺部真菌感染的可能易患因素与长期使用广谱抗生素、糖皮质激素,低蛋白血症、粒细胞减少相关;吸烟时间较长及每年住院次数增多也是老年COPD患者发生院内肺部真菌感染的可能易感因素;约1/3患者肺部真菌发生在入院1~2周,临床特征无特异性;病原菌主要为白色念珠菌(8055%),胸部X线表现以支气管肺炎及团块影改变为主,预后较差。 结论 老年COPD患者若长期使用广谱抗生素和(或)糖皮质激素,有低蛋白血症或粒细胞减少,可能会并发院内肺部真菌感染,预后较差,长期吸烟及多次住院患者也应提高警惕,重视可能易患因素并尽早采取预防与治疗措施,减少死亡的发生。【Abstract】 Objective To investigate the possible risk factors of nosocomial pulmonary fungal infection, infection time, the clinical features, common infection fungal and prognosis of elderly patients with chronic obstructive pulmonary disease (COPD). Methods The clinical data of 36 patient of COPD complicated with nosocomial pulmonary fungal infection over 65 years old and 40 patients without nosocomial pulmonary fungal infection were retrospectively analyzed. Results Longterm use of broadspectrum antibiotics and (or) glucocorticoid, hypoalbuminemia, neutropenia, smoking for a long time, and hospitalizations were risk factors for nosocomial pulmonary fungal infection in elderly COPD patients. In about 1/3 of patients, nosocomial pulmonary fungal infection occurred within one to two weeks of hospitalization. The clinical features were nonspecific. Pathogens were mainly Candida albicans (8055%). Bronchial pneumonia and group block were the main findings in Chest Xray. The prognosis was poor. Conclusion Elderly patients with COPD are prone to nosocomial pulmonary fungal infection if they have hypoproteinemia, neutropenia or use longterm broadspectrum antibiotics and (or) glucocorticoids.

    Release date:2016-09-08 09:45 Export PDF Favorites Scan
  • A nomogram for predicting secondary pulmonary fungal infection in patients with acute exacerbations of chronic obstructive pulmonary disease

    Objective To investigate the risk factors for secondary pulmonary fungal infection in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). And a visual tool using nomogram was developed and validated to assist in the clinical prediction of the probability of pulmonary fungal infection occurrence in AECOPD patients. Methods A retrospective cohort study method was used to collect AECOPD patients hospitalized in the Department of Respiratory, The First Affiliated Hospital of Chengdu Medical College from January 2021 to December 2021 as a training set. And AECOPD patients between January 2020 and December 2020 were collected as a validation set. Independent risk factors were determined through univariate, Lasso regression analyses. and multivariable logistic, A nomogram prediction model was constructed with these independent risk factors, and the nomogram was evaluated by receiver operating characteristic area under the curve (AUC), calibration curve, and decision curve analysis (DCA). Results The use of glucocorticoid, combined use of antibiotics, duration of antibiotic use and hypoalbuminemia were independent risk factors for secondary pulmonary fungal infection in AECOPD patients (all P<0.05). The training set and validation set of the constructed prediction model had an AUC value of 0.915 [95%CI: 0.891 - 0.940] and 0.830 [95%CI: 0.790 - 0.871], respectively. The calibration curve showed that the predicted probability was in good agreement with the actual observed probability of pulmonary fungal infection in AECOPD patients. The corresponding decision curve analysis (DCA) indicated the nomogram had relatively ideal clinical utility. Conclusions The result showed that the use of glucocorticoid, combined use of antibiotics, prolonged antibiotic therapy and hypoalbuminemia was independent risk factors for pulmonary fungal infection in AECOPD patients. The clinical prediction model for secondary pulmonary fungal infection in AECOPD patients constructed in this study has strong predictive power and clinical practicability.

    Release date: Export PDF Favorites Scan
1 pages Previous 1 Next

Format

Content