Objective To analyze morbility，risk factors，etiology，treatment and outcome of nosocomial pulmonary fungal infections in respiratory intensive care unit（RICU）.Methods Forty-seven respiratory RICU patients with nosocomial pulmonary fungal infections between July 2000 and June 2005 were retrospectively analyzed.Results All of the 47 cases were clinically diagnosed as probable nosocomial pulmonary fungal infections，with the morbidity of 10.8% significantly higher than general wards（1.8%，Plt;0.005）.COPD and bacterial pneumonia were the major underlying diseases of respiratory system with a percent of 38.30% and 36.17%，respectively.Forty-one patients (87.2%) had risk factors for fungal infections.Compared with general wards，the proportion of Aspergillosis was higher in RICU without significant difference (Pgt;0.1)；the proportions of Candida glabrata and Candida tropicalis were higher too，but that of Candida krusei was relatively low.The effective rate of antifungal treatment was 79.1% and fluconazol was the most common used antifungal agents.The mortality of fungal infection in RICU was higher than that of general wards but without significant difference（Pgt;0.1）.Conclusion The morbidity of nosocomial pulmonary fungal infection in respiratory RICU is higher than that in general wards.The proportions of infection caused by Aspergilli and some Candida resistant to fluconazol is relatively high.Early and effective treatment is needed in these patients considering the poor prognosis.
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.
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.
Objective To analyze the risk factors associated with fungal infections in adult recipients after living donor liver transplantation (LDLT). Methods Data of 189 recipients from January 2006 to December 2012 who received LDLT at our center were retrospectively analyzed. Cox regression analysis was used to analyze the risk factors for postoperative fungal infections. Results Postoperative fungal infection was found in 12 recipients. The most common infectious site was lung, whereas the most common fungal pathogen was Candida albicans. Multivariate analysis suggested preoperative low albumin level [HR=0.792, 95%CI (0.694, 0.903), P=0.001], massive intraoperative red blood cell transfusion [HR=4.322, 95%CI (1.308, 14.277), P=0.016] and longer postoperative intensive care unit (ICU) stay [HR=3.399, 95%CI (1.004, 11.506), P=0.049] were the independent risk factors for postoperative fungal infections. Conclusions Lung is the most common fungal infection site after LDLT. Preoperative low albumin level, massive intraoperative red blood cell transfusion and longer postoperative ICU contribute to fungal infections after LDLT.
Objective To evaluate the predicted value of APACHEⅡ score at admission for deep fungal infection（DFI） in patients with severe acute pancreatitis （SAP）.Methods The clinical data of 132 patients with SAP from January 2006 to June 2011 in our hospital were analyzed retrospectively. The receiver operating characteristic curve （ROC） was used for evaluating the predicted value.Results Thirty-nine patients with SAP infected DFI （29.5%）,of which 36 patients （92.3%） infected with Candida albicans,2 patients （5.1%） with Candida tropicalis,1 patient （2.6%） with pearl bacteria.And,among these 39 patients,27 patients （69.2%） infected at single site,12 patients （30.8%） infected at multi-site. The APACHEⅡ score in 39 patients with DFI was higher than that of 93 patients without DFI （17.1±3.8 versus 9.7±2.1, t=14.316,P=0.000）.The ROC for APACHEⅡ score predicting DFI was 0.745（P=0.000）, 95%CI was 0.641－0.849.When the cut off point was 15,it showed the best forecast performance,with specificity 0.81, sensitivity 0.72,Youden index 0.53. Conclusions The APACHEⅡ score at admission can preferably predict DFI in patients with SAP； when the APACHEⅡ score is greater than 15,it prompts highly possible of DFI,so preventive anti-fungal treatment may be necessary.
Objective To explore the diagnosis value of the low dose multi-slice spiral computed tomography (MSCT) imaging in pulmonary fungal infection in order to improve its diagnosis level. Methods CT manifestations of 106 cases of pulmonary fungal infection confirmed by operation, pathology, mycetes cultivation and follow-ups of clinical therapy were retrospectively analyzed. All cases underwent low dose MSCT examinations including CARE dose 4D and sinogram affirmed iterative reconstruction technology, and 6 cases underwent contrast-enhanced CT scanning. Results Among the basic MSCT findings of pulmonary fungal infection, they showed patch-nodular type in 54 cases, solid variant in 38 cases, and tumor type in 14 cases. In all cases, 91 cases displayed as mulifocality, 83 cases as polymorphism and 78 cases as polytropy. Among the 106 cases with comparative distinctive MSCT manifestations, bud of branch sign were showed in 39 cases, halo sign in 32 cases, wedge shape consolidation in 19 cases, ice needle sign in 15 cases, crescentic sign in 11 cases, air ring sign in 6 cases, and contra-halo sign in 4 cases. The nodules in the cavities were not enhanced in enhanced scan in 5 cases. Conclusions There are some distinctive MSCT findings in patients with pulmonary fungal infection. Pulmonary fungal infection can be diagnosed with typical MSCT findings in close combination with the clinical information.