Objective To evaluate the value of calcifications in the diagnosis of benign and malignant breast diseases. Methods In 270 female individuals,calcifications had been found in mammography and confirmed by pathology ,biopsy or followed-up. The characteristics of calcifications in benign and malignant breast diseases were analyzed and compared retrospectively. Results In mammography, significant difference characteristics exists in the characteristics of calcifications between the two kinds of breast diseases( P

OBJECTIVE:To provide reference for the supply of emergency drugs. METHODS:The data of emergency drugs in the inpatients of our hospital were collected from hospital information system during 2012-2016,including the proportion and age of emergency patients,drug,clinical departments and disease types. The trend of emergency drugs was analyzed by using SPSS 16.0 software. RESULTS:The proportion of emergency patients and discharged patients were increasing year by year. The number of patients in <10 year-old and 10-19 year-old showed a declining trend year by year. The number of patients in 30-39 year-old,50-59 year-old and >60 year-old showed an increasing trend year by year. Among emergency drugs,the use frequency of Heparin sodium injection,Dexamethasone sodium phosphate injection and Flumethasone injection showed a declining trend year by year;the use fre-quency of Hemagglutination for injection,Penehyclidine ether injection,Atracurium besylate injection and Propofol injection showed an increasing trend year by year. Among clinical department,the number of pediatric patients showed a declining trend year by year;the number of patients in obstetrics department,emergency department,cardiology department,micro hand surgery department and pediatric surgery department showed an increasing trend year by year. Among emergency disease types,the number of patients with re-spiratory system disease,infectious and parasitic diseases showed a declining trend year by year;the number of patients with circula-tion system disease,injury and poisoning,certain other consequences of external factors,digestive system diseases,pregnancy,child-birth and puerperium disease as well as some cases originated in the perinatal period showed an increasing trend year by year. CON-CLUSIONS:With the change of the proportion,age and disease type of emergency patients,the type and utilization rate of emergen-cy drugs have changed. It is necessary to adopt effective measures to guarantee the supply of emergency drugs.

Objective:To explore the feasibility of using a High-Throughput Chromosome Automatic Scanning System (Metafer 4) to carry out automatic micronucleus detection for radiation workers.Methods:A total of 2 005 radiation workers selected were divided into five groups in terms of diagnostic radiology, radiotherapy, nuclear medicine, interventional radiology and industrial application.The Metafer 4 was used to assay micronuclei in peripheral blood lymphocytes from the subjects, with the factors affecting micronuclei analyzed. A total of 200 micronucleus samples collected by stratified random sampling were manually assayed for comparison of micronuclei frequency and detection efficiency between automatic and manual analysis.Results:The mean micronuclei frequency in 2 005 radiation workers were measured to be (0.92±0.02) ×10 -3. There was significant difference in the frequencies of micronuclei among the five groups ( χ2=11.054, P<0.05), with higher micronuclei frequency in interventional radiology group(1.00±0.03) ×10 -3 than in other groups ( χ2=5.568, 5.334, 7.689, P<0.05). Statistically significant difference could be observed in annual effective dose, length of service and micronuclei frequency among the radiation workers in different medical applications ( F=3.026, χ2=11.582, 8.878, P<0.05). A positive correlation between annual effective dose and micronucleus frequency was shown by Pearson analysis ( r=0.106, P<0.05). Multiple linear regression analysis showed that the automatic assay-based micronuclei frequencies were associated with length of service and work categories( r=9.485×10 -6, 5.660×10 -5, P<0.05), significantly lower when compared with manual analysis ( χ2=169.259, P<0.05). There was a consistency (ICC=0.713, P<0.05) between the two assay methods, but automatic analysis can increase the assayed micronucleus frequency by about 5 folds. Conclusions:The micronucleus frequency tested by automatic detection reflects genetic damage from low-dose chronic radiation exposure, and there may be feasibility of using automatic analysis to assay micronucleus of radiation workers.

Objective To analyze the genotypes distribution and clinical significance of human papillomavir-us(HPV) infection in atypical squamous cells of undetermined significance (ASC-US) ,low squamous intraepi-thelial lesion (LSIL) and high squamous intraepithelial lesion (HSIL) of uterine cervix ,meanwhile to conduct the cervical histopathological diagnostic analysis in the patients with ASC-US、LSIL and HSIL .Methods The gene amplification technique (PCR) combined with gene-chips technology were adopted to conduct the 23 kinds of HPV genotype detection on 236 cases of cervical ASC-US ,36 cases of cervical LSIL and 61 cases of cervical HSIL specimens .All cases of ASC-US ,LSIL and HSIL were performed the cervical biopsy his-topathological diagnosis .And then the subjects related data were analyzed .Results Among 236 cases of cervi-cal ASC-US specimens ,139 cases of HPV infection were detected with the total HPV infection rate 58 .90％(139/236) ,in which the single genotypes infection rate was 38 .14％ (90/236)and the multiple genotypes infec-tion rate was 20 .76％ (49/236);26 cases of HPV infection were detected from 36 cases of cervical LSIL speci-mens with the total HPV infection rate of 72 .22％ (26/36) ,in which the single genotypes infection rate was 52 .78％ (19/36) and the multiple genotypes infection rate was 19 .44％ (7/36);61 cases of HPV infection were detected from 58 cases of cervical HSIL specimens with the total HPV infection rate of 95 .08％ (58/61) , in which the single genotypes infection rate was 68 .85％ (42/61)and the multiple genotypes infection rate was 26 .23％ (16/61) .The total infection rates had statistically significantly differences among the cervical ASC-US group ,LSIL group and HSIL group (P<0 .05) .Conclusion HPV16 ,52 ,58 are the main types in the patients with cervical ASC-US ,LSIL and HSIL .The gene-chip technology can be used in the HPV genotypes detection of cervical cells ,which has an important clinical significance for further distribution management on ASC-US patients and should draw great attention of gynecologist .

Objective:To investigate the genetic subtypes and drug resistance monitoring of newly reported human immunodeficiency virus (HIV) infection/AIDS virus in Anhui Province from 2020 to 2023.Methods:An observational design study was used to collect blood samples from patients diagnosed with HIV/AIDS in the AIDS Prevention and Control Department of Anhui Provincial Center for Disease Control and Prevention from January 2020 to December 2023.The HIV-1 pol gene was amplified by reverse transcription-nested PCR, and the genetic subtypes were identified by phylogenetic tree analysis using MEGA 7.0 software. The mutation sites of drug resistance were analyzed by the online software tool of Stanford University′s HIV Drug resistance database. The influencing factors of drug resistance before treatment were analyzed by multivariate logistic analysis.Results:A total of 335 plasma samples were collected, and 332 HIV-1 pol gene sequences were obtained successfully. The main gene subtypes were CRF01-AE, accounting for 35.55% (118/332), followed by CRF07-BC, B and B+C types [29.22% (97/332), 11.74% (39/332), 9.93% (33/332)]. The total drug resistance rate before treatment was 30.12%(32/100), and the drug resistance rate of protease inhibitor (PIs) in HIV-1 was 6.33% (21/332). The drug resistance rate of nucleoside reverse transcriptase inhibitors (NRTI) before treatment was 6.33% (21/332). The drug resistance rate of non-nucleoside reverse transcriptase inhibitors (NNRTI) before treatment was 17.47% (58/332).The comparison of drug resistance rate of different drug types showed statistical significance ( χ2=30.435, P<0.05).Among the 100 cases of drug resistance, the main mutation point of HIV-1 protease inhibitor was Q58E (21.00%), and the main mutation point of nucleoside reverse transcriptase inhibitor was M184V/I (6.00%). Non-nucleoside reverse transcriptase inhibitor resistance mutation points mainly K103N (22.00%).There were statistically significant differences in the starting time of antiviral therapy, the number of CD4 +T cells at baseline and the drug resistance rate of gene subtypes (the chi-square values are respectively 24.152, 32.516, 11.652, P<0.05).Multivariate logistic analysis showed that the baseline CD4 +T cell count was <200/μl, subtype B, subtype B+C, CRF01-AE subtype, CRF55-01B subtype and 01-BC subtype was the influential factor of drug resistance before treatment (the chi-square values are respectively 4.577, 8.202, 4.416, 5.206, 7.603 and 4.804, P<0.05). Conclusion:The newly reported HIV/AIDS population in Anhui Province from 2020 to 2023 has a variety of viral gene subtypes, and NNRTIs are the main types of drug resistance gene mutations before treatment. Attention should be paid to the number of baseline CD4 +T cells, the duration of antiviral treatment, and the distribution of gene subtypes to reduce the drug resistance of HIV/AIDS patients before treatment.

Objective:To investigate the genetic subtypes and drug resistance monitoring of newly reported human immunodeficiency virus (HIV) infection/AIDS virus in Anhui Province from 2020 to 2023.Methods:An observational design study was used to collect blood samples from patients diagnosed with HIV/AIDS in the AIDS Prevention and Control Department of Anhui Provincial Center for Disease Control and Prevention from January 2020 to December 2023.The HIV-1 pol gene was amplified by reverse transcription-nested PCR, and the genetic subtypes were identified by phylogenetic tree analysis using MEGA 7.0 software. The mutation sites of drug resistance were analyzed by the online software tool of Stanford University′s HIV Drug resistance database. The influencing factors of drug resistance before treatment were analyzed by multivariate logistic analysis.Results:A total of 335 plasma samples were collected, and 332 HIV-1 pol gene sequences were obtained successfully. The main gene subtypes were CRF01-AE, accounting for 35.55% (118/332), followed by CRF07-BC, B and B+C types [29.22% (97/332), 11.74% (39/332), 9.93% (33/332)]. The total drug resistance rate before treatment was 30.12%(32/100), and the drug resistance rate of protease inhibitor (PIs) in HIV-1 was 6.33% (21/332). The drug resistance rate of nucleoside reverse transcriptase inhibitors (NRTI) before treatment was 6.33% (21/332). The drug resistance rate of non-nucleoside reverse transcriptase inhibitors (NNRTI) before treatment was 17.47% (58/332).The comparison of drug resistance rate of different drug types showed statistical significance ( χ2=30.435, P<0.05).Among the 100 cases of drug resistance, the main mutation point of HIV-1 protease inhibitor was Q58E (21.00%), and the main mutation point of nucleoside reverse transcriptase inhibitor was M184V/I (6.00%). Non-nucleoside reverse transcriptase inhibitor resistance mutation points mainly K103N (22.00%).There were statistically significant differences in the starting time of antiviral therapy, the number of CD4 +T cells at baseline and the drug resistance rate of gene subtypes (the chi-square values are respectively 24.152, 32.516, 11.652, P<0.05).Multivariate logistic analysis showed that the baseline CD4 +T cell count was <200/μl, subtype B, subtype B+C, CRF01-AE subtype, CRF55-01B subtype and 01-BC subtype was the influential factor of drug resistance before treatment (the chi-square values are respectively 4.577, 8.202, 4.416, 5.206, 7.603 and 4.804, P<0.05). Conclusion:The newly reported HIV/AIDS population in Anhui Province from 2020 to 2023 has a variety of viral gene subtypes, and NNRTIs are the main types of drug resistance gene mutations before treatment. Attention should be paid to the number of baseline CD4 +T cells, the duration of antiviral treatment, and the distribution of gene subtypes to reduce the drug resistance of HIV/AIDS patients before treatment.