Objective To compare broth microdilution and agar dilution methods for in vitro testing of activities of fluconazole,ketoconazole and itraconazole against clinical Malassezia isolates.Methods Broth microdilution and agar dilution methods were used to determine the minimal inhibitory concentration(MIC)of fluconazole,ketoconazole and itraconazole for 27 clinical strains(5 species)of Malassezia.Results The minimal inhibitory concentration(MIC)ranges of fluconazole,ketoconazole and itraconazole were 0.25-≥64 mg/L,≤0.03-0.5 mg/L and ≤0.03-0.125 mg/L respectively as shown by broth microdilution method,2-≥64 mg/L,≤0.03-0.5 mg/L and ≤0.03-0.25 mg/L respectively as revealed by agar dilution method.Both methods demonstrated that itraconazole possessed the strongest activity against Malassezia species,followed by ketoconazole and fluconazole.The agreement rate in MICs between the two methods was 78.8％,85.2％ and 88.9％,respectively for fluconazole,ketoconazole and itraconazole,with the intraclass correlation coefficients (ICCs)being 0.88,0.80 and 0.76 respectively.Conclusions Fluconazole,ketoconazole and itraconazole are highly active against Malassezia species in vitro,and itraconazole is the most active.Broth microdilution and agar dilution method coincide well in,and are applicable for,the antifungal susceptibility testing of Malassezia species in vitro.

ObjectiveTo investigate the predisposing factors and pathogenic fungal species of Malassezia folliculitis in different geographical areas and body sites.MethodsTotally,241 patients diagnosed with Malassezia folliculitis were asked to complete a questionnaire.The content of hair follicles was obtained and subjected to fungal smear and culture examination.Fungal species were identified according to morphological,physiological and biochemical features.Results Of the 241 patients with Malassezia folliculitis,204 (84.65％) were positive for smear examination.A total of 259 specimens were collected from these patients,and fungal culture grew 213(82.24％) strains,of which,209 belonged to Malassezia species,4(1.54％) to Candida species.Among the 209 Malassezia strains,186 were activated and subjected to species identification which resulted in 6 species,including M.furfur (111 strains,59.68％ ),M.sloofiae (43 strains,23.12％ ),M.sympodialis (17 strains,9.14％),M.globosa (9 strains,4.84％),M.pachydermatis (4 strains,2.15％),and M.obtuse(2 strains,1.08％ ).Of the pathogenic fungi of Malassezia folliculitis,M.furfur predominated in the chest,back,abdomen,face and neck,M.sloofiae in the upper limbs,shoulders and vertex,M.globosa in the lower limbs.There were obvious differences in the distribution of pathogenic fungal species at different body sites in a same host,and M.furfur with M.sloofiae or M.sympodialis appeared to be the most common pathogens.ConclusionsIn this study,6 Malassezia species are identified in patients with Malassezia folliculitis in Nantong and Nanjing area,M.furfur and M.sloofiae appear to be the dominant pathogens.

Objective? To summarize the nursing care for giant condyloma acuminatum patients with surgery cutting and photodynamic therapy. Methods? From January 2015 to December 2018, we selected 30 patients with giant condyloma acuminatum in Department of Dermatology of Affiliated Hospital of Nantong University. All of patients received surgery cutting and photodynamic therapy for warts. After surgery, intervention was provided with the method of nursing in sequence with multi-drug for wound. We observed the surgical wound complications and recurrence rate of disease. Results? Among 30 giant condyloma acuminatum patients, the surgical wounds were not with infection and bleeding. Disease recurred in one patient followed up 6 months after discharge. Conclusions? Nursing in sequence with multi-drug for wound in giant condyloma acuminatum patients with surgery cutting and photodynamic therapy can reduce wound complications, improve comfort of patients and decrease the recurrence rate of disease.

Objectives:To investigate the prevalence of cough and its influencing factors in community children under 5 years old.Methods:From October to December 2019, we selected 3 102 community children under the age of 5 from 50 natural villages/residential communities in 14 towns/streets of Yiwu, Zhejiang Province, using multi-stage random sampling method. A face-to-face and on-site questionnaire survey was conducted among child caregivers to collect demographic data and information about children′s cough in the last 1 month. Multiple logistic regression model was used to analyze children′s cough and the influencing factors of different cough states.Results:Multivariate logistic regression model analysis results showed that compared with 0-1 year old, dispersed, caregivers with education level below high school, families with 1 child under 5 years old, Cough risk was higher in 1-2, 2-3, 3-4 years old, nurseries, caregivers with education level of high school or above, and families with more than 2 children under 5 years old. OR (95% CI) values were 1.52(1.19-1.92), 1.65(1.29-2.10), 1.86(1.36-2.54), 2.59(1.99-3.38), 1.48(1.26-1.74) and 1.35(1.13-1.62), respectively. Further analysis of the influencing factors of different states of cough, multivariate logistic regression model analysis results showed that preschool status, the number of children under 5 years old in the family and the education level of caregivers were the influencing factors of acute, prolonged and chronic cough. Age was only an influencing factor of acute and persistent cough. Conclusions:The disease burden of cough in children under 5 years old community was heavy, and the cough was related to children′s age, education level of caregivers, number of children under 5 years old in the family and childcare status.

Objectives:To investigate the prevalence of cough and its influencing factors in community children under 5 years old.Methods:From October to December 2019, we selected 3 102 community children under the age of 5 from 50 natural villages/residential communities in 14 towns/streets of Yiwu, Zhejiang Province, using multi-stage random sampling method. A face-to-face and on-site questionnaire survey was conducted among child caregivers to collect demographic data and information about children′s cough in the last 1 month. Multiple logistic regression model was used to analyze children′s cough and the influencing factors of different cough states.Results:Multivariate logistic regression model analysis results showed that compared with 0-1 year old, dispersed, caregivers with education level below high school, families with 1 child under 5 years old, Cough risk was higher in 1-2, 2-3, 3-4 years old, nurseries, caregivers with education level of high school or above, and families with more than 2 children under 5 years old. OR (95% CI) values were 1.52(1.19-1.92), 1.65(1.29-2.10), 1.86(1.36-2.54), 2.59(1.99-3.38), 1.48(1.26-1.74) and 1.35(1.13-1.62), respectively. Further analysis of the influencing factors of different states of cough, multivariate logistic regression model analysis results showed that preschool status, the number of children under 5 years old in the family and the education level of caregivers were the influencing factors of acute, prolonged and chronic cough. Age was only an influencing factor of acute and persistent cough. Conclusions:The disease burden of cough in children under 5 years old community was heavy, and the cough was related to children′s age, education level of caregivers, number of children under 5 years old in the family and childcare status.

Objective To observe the value of spectral CT for predicting regional lymph node metastasis of colorectal cancer(CRC).Methods Totally 73 patients with CRC confirmed by postoperative pathology were retrospectively enrolled and divided into positive group(n=29)and negative group(n=44)based on the presence or absence of regional lymph node metastasis.The lymph node short diameter,CT value of 120 kV conventional image(CT value120 kV),CT values of 40 keV and 70 keV virtual single energy images(CT value40 keV and CT value70keV),iodine density(ID),effective atomic number(Zeff)and spectral curve slope(λHU).The above parameters and clinical indicators were compared between groups.After excluding those with variance inflation factor greater than 10,model 1 was constructed based on carbohydrate antigen 19-9(CA19-9)and carcinoembryonic antigen(CEA),model 2 based on conventional CT parameters(lymph node short diameter,CT value120 kV),model 3 based on spectral CT parameters(CT value70 keV,ID,Zeff,λHU),and model 4 based on conventional CT parameters and spectral CT parameters.The efficacy of 4 models for predicting regional lymph node metastasis of CRC were analyzed.Results Significant differences in patients'gender,carbohydrate antigen 19-9(CA1 9-9),carcinoembryonic antigen(CEA),lymph node short diameter,CT value120 kV,CT value40 keV,CT value70 keV,ID,Zeff and λHU were found between 2 groups(all P＜0.05).The area under the curve(AUC)of model 1-4 for predicting regional lymph node metastasis of CRC was 0.734,0.752,0.996 and 0.995,respectively,and significant differences were found between model 1 and 3,model 1 and 4,model 2 and 3,as well as model 2 and 4(all P＜0.001).Conclusion Enhanced venous phase spectral CT could effectively predict regional lymph node metastasis of CRC.