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Clinical Research on Correlation Factors of Concurrent Fungal Infections in Old Patients with Pulmonary Diseases: 49 Case Reports

摘要:目的: 探讨我院呼吸内科病房老年肺部疾病患者并发真菌感染发病的相关因素,分析其易患因素、临床特征和治疗。 方法 : 采用回顾性调查方法对2002年1月至2008年6月收住内科的经微生物检查证实49例继发真菌感染的患者进行分析,并与同期无真菌感染的肺部疾病患者(对照组)比较。 结果 : 在呼吸内科病房中,老年患者院内肺部真菌感染发生率为378%,主要感染部位为泌尿系(218%),呼吸道(269%),消化道(409%)。慢性阻塞性肺疾病(498%)是继发院内肺部真菌感染最常见的基础疾病,其感染因素为长期使用广谱抗生素(962%)和糖皮质激素(332%)、营养状况不良(583%)出现低蛋白血症及合并糖尿病、白细胞减少和侵袭性诊疗操作等。肺部真菌感染的临床表现无特异性,确诊需结合痰培养,组织病理学和临床表现来确定,感染菌种以白色念珠菌为主,占626%。氟康唑治疗有效率914%。研究组与同期无真菌感染的肺部疾病患者(对照组)比较:病死率分别为612%和082%,两组治疗无效的病例(恶化和死亡病例)比较差异有显著性。 结论 : 院内真菌是呼吸系统疾病继发感染的重要病原体,而白色假丝酵母菌是院内肺部真菌感染的主要致病菌,宿主免疫状态、感染播散和疾病严重程度是影响预后的因素。该研究认为老年肺部疾病患者并发真菌感染的相关因素和影响预后的因素对其预防、诊断、治疗、改进预后和生存质量有重要的临床意义。除有效的抗真菌治疗外,积极的综合治疗有助于提高真菌感染的治愈率。Abstract: Objective: To study the susceptible factors,clinical features and treatments of nosocomial pulmonary fungal infection in the ward of respiratory department.〖WTHZ〗Methods : The chart files of 49 patients with nosocomial pulmonary fungal infection admitted from January 2002 to June 2008 in the ward of Respiratory Department were reviewed. Results : The incidence rate of nosocomial pulmonary fungal infection was 378%.COPD(498%)was the main predisposing disease,and candidiasis(626%) was the most common pathogen. The main susceptible factors associated with nosocomial pulmonary fungal infection are longterm use of broadspectrum antibiotics(962%),hypoalbuminemia(583%),longterm use of adrenocortical steroid(332%),and diabetes mellitus.There is no specific clinical feature.Fluconazole(914%)is more efficient in the treatment.〖WTHZ〗Conclusion : Nosocomial pulmonary fungis are important pathogenin the secondary infection in respiratory disease.The most common pathogen is candida albicans.Combined therapy as well as treating fungus infection are important measures to increase the cure rate of nosocomial pulmonary fungal infection.

The Interpretation of Guidelines for the Management of Candidiasis from Infectious Diseases Society of America 2009

The Interpretation of Diagnosis and Treatment Guideline of Invasive Fungal Disease in Patients with Hematological Diseases

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.

In vitro Antifungal Spectrum and Activity of 1% Naftifine-0.25% Ketoconazole Cream Compared with 2% Ketoconazole Cream and 1% Terbinafine Cream

Objective　To research the anti-fungal spectrum and activity of the cream containing 1% naftifine-0.25% ketoconazole compared with other two creams that contain of 2% ketoconazole and of 1% terbinafine, respectively. Methods　The agar diffusion method was used to judge drug sensitivity. Twenty-nine isolates of pathogenic fungi belonging to 11 species from clinic and three species of Malassezia standard stains were enrolled into the experiment. Organism suspension of each species was spread on the surface of the plate of the optimal media containing 2% agar. Then wells were made in the plate and three types of cream were put in each well respectively. After seven-day incubation, the diameter of the inhibition zone around the well full of each cream was observed and recorded. Results　The inhibition zone around the well full of 1% naftifine-0.25% ketoconazole cream for all experiment isolates (Dermatophytes, Candida spp., Sporothrix schenkii, Fonsecaea pedrosoi, Fusarium graminearum, Malassezia furfur, M. globosa and M. sympodialis) was observed, with the mean diameter of 45.46mm. Similarly, the mean diameter of inhibition zone of 2% ketoconazole cream for all experiment isolates was 23.92mm. About 1% terbinafine cream, the mean diameter was 29.81mm but there was no inhibition zone observed around Candida krusei and Candida albicans mycelial-form. There were significant significances for mean diameters of the inhibition zone when comparing 1% naftifine-0.25% ketoconazole cream with 2% ketoconazole cream (P=0.000) and with 1% terbinafine cream (P=0.000). Conclusion　The anti-fungal spectrum of 1% naftifine-0.25% ketoconazole cream is wider than that of 1% terbinafine cream. The antifungal activity of 1% naftifine-0.25% ketoconazole cream is ber than that of 2% ketoconazole cream and 1% terbinafine cream.

Risk Factors of Invasive Fungal Infection in Respiratory Ward: A Retrospective Case Control Study

Objective To explore the risk factors of invasive fungal infection ( IFI) in respiratory ward. Methods A multi-center, retrospective, case-control study was carried out. Patients from five general hospitals in Chongqing city, diagnosed as fungal infection, or whose respiratory specimens were fungal positive, were retrospectively screened for IFI. Patients with respiratory infection and colonization of nonfungal cases in the same period of hospitalization were enrolled as control. Results Thirty-four patients diagnosed with IFI and 50 patients diagnosed with bacterial infection were analyzed for the risk factors of IFI. The demographic characteristics of patients including age and gender were not different( P gt; 0. 05) , but hospitalization days, carbapenem antibiotic use, chemotherapy, deep venous catheterization, total parenteralnutrition( TPN) , neutropenia, and renal disfunction were different significantly between the IFI group and the control group. Multiple logistic regression analysis showed that carbapenem antibiotic use ( OR = 6. 753) ,central venous catheterization ( OR = 5. 021) and TPN ( OR = 3. 199) were main risk factors of invasive fungal infection. Conclusion The carbapenem antibiotic use, central venous catheterization and TPN are risk factors for IFI in respiratory ward.

The Interpretation of the ECL-3 Guideline

Discussion on the construction of fungal disease prevention and control system in China from the epidemic of Candida auris

Candida auris is an emerging multidrug-resistant fungus that has become a significant global public health threat due to its strong resistance to antifungal agents and its ability to spread within healthcare facilities. This paper reviews the global epidemiological trends of Candida auris and the current status of existing prevention and control systems, focusing specifically on pathogen epidemiological characteristics, domestic and international epidemic situations, current prevention and control frameworks, and the construction of prevention networks. In response to the challenges posed by the international spread of Candida auris , China’s fungal disease prevention system should advance towards a more systematic and scientific direction. By integrating resources from medical institutions, disease control agencies, and research institutes, and combining multidisciplinary knowledge and technologies, China should establish a multi-level coordinated prevention and control mechanism to improve its monitoring, prevention, and treatment systems. In the future, China’s fungal disease prevention and control system needs to further strengthen talent cultivation, improve surveillance networks, promote technological innovation, and build a comprehensive, multi-level modern prevention and control system.

Traditional laboratory detection methods and metagenomic next-generation sequencing in pulmonary fungal infection diagnosis

In recent years, due to the extensive usage of immunosuppressant and the rise of patients with cancers and organ transplantation, the incidence rate of invasive fungal infection, especially invasive pulmonary fungal infection, has increased. Besides the clinical manifestations, medical history and imaging, the diagnosis of pulmonary mycosis mainly depends on pathogen detection methods in clinical microbiology laboratory. However, due to the difficulty in fungi culturing and the low sensitivity of smear microscopy, better molecular biology methods are needed. To date, the emergence of metagenomic next-generation sequencing (mNGS) has improved the identification rate of pulmonary fungal infections. mNGS is significantly superior to traditional detection methods in rapid, accurate, and comprehensive determination of fungi from various clinical specimens, especially atypical fungi. However, some problems in mNGS method have to be addressed including sample collection, report interpretation, and its combination with traditional microbiology methods. With the in-depth discussion and solution of the above problems, mNGS will be indispensable to the etiological diagnosis of pulmonary invasive fungal infection.

The value of 1,3-beta-D-glucan assay for diagnosis of invasive fungal disease with automimmune disease

ObjectiveTo evaluate the diagnostic value of monitoring 1,3-beta-D-glucan (G test) in patients with autoimmune disease complicated with invasive fungal disease (IFD). MethodsA retrospective study was performed in hospitalized patients in the First Affiliated Hospital of Zhengzhou Universisty who were diagnosed as autoimmune disease with lung infection during the immunosuppressive therapy between January 2014 and January 2016. A total of 372 patients were enrolled in this study. All subjects were classified according to the 2006 diagnostic criteria and treatment of invasive pulmonaary fungal infection, with serum 1,3-β-D-glucan results not included in the diagnosis. There were 18 cases with proven IFD, 35 cases with probable IFD, and 70 ceses with possible IFD. Fifty-three patients with proven IFD or probable IFD were as a case group, and another 249 patients with no evidence for IFD were as a control group. The value of the G test for diagnosis of automimmune disease with IFD was analyzed by ROC curve. ResultsThe serum 1,3-β-D-glucan level was significantly higher in the case group when compared with the control group [median (interquartile range): 135.0 (63.1 to 319.0) pg/ml vs. 75.9 (41.2 to 88.1) pg/ml, P<0.05]. When the cut-off value of serum 1,3-β-D-glucan level was set at 93.8 pg/ml, the sensitivity, specificity, positive predictive value, and negative predictive value for diagnosis of autoimmune disease with IFD were 0.65 (95% CI 0.56 to 0.73), 0.87 (95% CI 0.83 to 0.92), 0.70 (95% CI 0.64 to 0.81), and 0.83 (95% CI 0.79 to 0.88), respectively. ConclusionThe 1,3-beta-D-glucan test is a valuable method for diagnosis of IFD in patients with autoimmune disease.