2.Distribution and antimicrobial resistance profile of Klebsiellapneumoniae
Jingqiu QIN ; Yue QIU ; Shihui GUO ; Meng LI ; Faquan LIN ; Ruirong WAN ; Yan WEN
Chinese Journal of Infection and Chemotherapy 2017;17(3):269-272
Objective To investigate the clinical feature and antibiotic resistance profile of K.pneumoniae isolates from patients for better management of K.pneumoniae infections.Methods Nonduplicate K.pneumoniae strains were collected from January to December in 2015.K.pneumoniae strains were identified by VITEK 2-Compact 60 and tested for antimicrobial susceptibility by KirbyBauer method.Results A total of 753 strains ofK.pneumoniae were included,most (40.9%,308/753) of which were isolated from sputum,followed by urine (18.2%,137/753).Most of the strains were from old patients at least 60 years of age (40.8%,307/753),and primarily from intensive care units (16.7%,126/753) and Department of Respiratory Medicine (13.7%,103/753).Respiratory tract infection was found in 144 patients,of which 71.5% (103/144) were due to K.pneumoniae.More than half of the K.pneumoniae strains were resistant to piperacillin (66.3 %),cefazolin (60.8 %) and cefitroxime (59.4 %).Only a few strain were resistant to imipenem (2.4 %) and meropenem (2.0).ESBLs were produced in 410 (54.4 %) of the 753 strains,and 29 (3.9 %) strains were carbapenem-resistant,492 (65.3 %) strains were resistant to multiple antimicrobial agents.Conclusions Clinical K.pneumoniae isolates are highly resistant to most of the antimicrobial agents tested.The strains were mostly isolated from sputum and urine,and positive for ESBLs.MDR K.pneumoniae sWains are emerging.K.pneumoniae isolates are still very susceptible to carbapenems in vitro.
3. Distribution and drug resistance of pathogens at hematology department of Jiangsu Province from 2014 to 2015: results from a multicenter, retrospective study
Yike WAN ; Wei SANG ; Bing CHEN ; Yonggong YANG ; Luqin ZHANG ; Aining SUN ; Yuejun LIU ; Yang XU ; Yipeng CAI ; Chunbin WANG ; Yunfeng SHEN ; Yangwen JIANG ; Xiaoyan ZHANG ; Wei XU ; Ming HONG ; Tao CHEN ; Ruirong XU ; Feng LI ; Yanli XU ; Yan XUE ; Yilong LU ; Zhengmei HE ; Weimin DONG ; Ze CHEN ; Meihua JI ; Yueyan YANG ; Lijia ZHAI ; Yu ZHAO ; Guangqi WU ; Jiahua DING ; Jian CHENG ; Weibo CAI ; Yumei SUN ; Jian OUYANG
Chinese Journal of Hematology 2017;38(7):602-606
Objective:
To describe the distribution and drug resistance of pathogens at hematology department of Jiangsu Province from 2014 to 2015 to provide reference for empirical anti-infection treatment.
Methods:
Pathogens were from hematology department of 26 tertiary hospitals in Jiangsu Province from 2014 to 2015. Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or agar dilution method. Collection of drug susceptibility results and corresponding patient data were analyzed.
Results:
The separated pathogens amounted to 4 306. Gram-negative bacteria accounted for 64.26%, while the proportions of gram-positive bacteria and funguses were 26.99% and 8.75% respectively. Common gram-negative bacteria were Escherichia coli (20.48%) , Klebsiella pneumonia (15.40%) , Pseudomonas aeruginosa (8.50%) , Acinetobacter baumannii (5.04%) and Stenotropho-monas maltophilia (3.41%) respectively. CRE amounted to 123 (6.68%) . Common gram-positive bacteria were Staphylococcus aureus (4.92%) , Staphylococcus hominis (4.88%) and Staphylococcus epidermidis (4.71%) respectively. Candida albicans were the main fungus which accounted for 5.43%. The rates of Escherichia coli and Klebsiella pneumonia resistant to carbapenems were 3.5%-6.1% and 5.0%-6.3% respectively. The rates of Pseudomonas aeruginosa resistant to tobramycin and amikacin were 3.2% and 3.3% respectively. The resistant rates of Acinetobacter baumannii towards tobramycin and cefoperazone/sulbactam were both 19.2%. The rates of Stenotrophomonas maltophilia resistant to minocycline and sulfamethoxazole were 3.5% and 9.3% respectively. The rates of Staphylococcus aureus, Enterococcus faecium and Enterococcus faecalis resistant wards vancomycin were 0, 6.4% and 1.4% respectively; also, the rates of them resistant to linezolid were 1.2%, 0 and 1.6% respectively; in addition, the rates of them resistant to teicoplanin were 2.8%, 14.3% and 8.0% respectively. Furthermore, MRSA accounted for 39.15% (83/212) .
Conclusions
Pathogens were mainly gram-negative bacteria. CRE accounted for 6.68%. The rates of Escherichia coli and Klebsiella pneumonia resistant to carbapenems were lower compared with other antibacterial agents. The rates of gram-positive bacteria resistant to vancomycin, linezolid and teicoplanin were still low. MRSA accounted for 39.15%.
4.Early Efficacy Predictors of Bushen Shengxue Prescription Combined with Western Medicine in Treatment of Aplastic Anemia
Chaochang ZHANG ; Jian LIU ; Wenru WANG ; Rui LI ; Qifeng LIU ; Jinhuan WANG ; Jiangwei WAN ; Ruirong XU ; Feng LIU ; Rou MA ; Xudong TANG
Chinese Journal of Experimental Traditional Medical Formulae 2023;29(14):64-72
ObjectiveTo investigate the predictive indicators of early efficacy of Bushen Shengxue prescription combined with western medicine in the treatment of aplastic anemia, and provide prognosis indicators for the treatment of aplastic anemia (AA) with kidney-tonifying therapy in traditional Chinese medicine (TCM) combined with western medicine. MethodA total of 126 patients treated by Bushen Shengxue prescription combined with western medicine in 19 hospitals including Xiyuan Hospital of the China Academy of Chinese Medical Sciences from September 2018 to March 2021 were selected for a retrospective study. The therapy was proven to be effective after six months of treatment. According to the efficacy after 4 months of treatment, the patients were assigned into a 4-month effective group and a 4-month ineffective group. The age, sex, disease severity (including severe aplastic anemia and non-severe aplastic anemia), course of disease, degree of bone marrow nucleated cell proliferation, baseline hemogram levels [including white blood cell count (WBC), absolute neutrophil count (ANC), hemoglobin (HGB), platelets (PLT), and reticulocytes (RET)], T lymphocytes subsets, and the expression levels of T-box transcription factor (T-bet) and GATA-binding protein-3 (GATA-3) were compared between the two groups before treatment. ResultThe proportions of patients within the age ranges of [20, 40) and [60, 80) were higher in the 4-month effective group (P<0.05). The sex, disease severity, course of disease, and comorbidities had no significant differences between the two groups. The 4-month effective group had higher baseline levels of HGB, WBC, ANC, and PLT than the 4-month ineffective group (P<0.05), and there was no significant difference in the RET level between the two groups before treatment. Binary Logistic regression analysis showed that the PLT level before treatment was an independent factor affecting the onset time, while other indicators did not affect the onset time. The receiver operating characteristic (ROC) curve was established to analyze the value of PLT level before treatment for predicting the onset time, and the area under the curve was 0.691. With the critical value of 40.5×109/L, the sensitivity and specificity of the prediction that the therapy will take effect within 4 months were 0.569 and 0.893, respectively. The two groups of patients were graded according to age {(14, 20), [20, 40), [40, 60), and [60, 80)} and PLT level before treatment (PLT<40×109/L, PLT≥40×109/L). The proportion of the patients with PLT≥40×109/L before treatment in the 4-month effective group was significantly higher than that in the 4-month ineffective group (P<0.05). The degree of bone marrow nucleated cell proliferation before treatment had no significant difference between the two groups. The level of total T lymphocytes in the 4-month effective patients was lower than that in the 4-month ineffective patients before treatment (P<0.05). The levels of Th1 cells, Th2 cells, CD4+ T cells, and CD8+ T cells showed no significant differences between the two groups before treatment. The T-bet expression level in the 4-month effective group was higher than that in the 4-month ineffective group before treatment (P<0.05), while the expression level of GATA-3 showed no significant difference between the two groups before treatment. ConclusionBushen Shengxue prescription combined with western medicine will achieve faster effect for the patients within the age ranges of [20, 40) or [40, 60), with higher levels of HGB, WBC, ANC, and PLT (especially those with PLT≥40×109/L), lower level of total T lymphocytes, or higher T-bet expression level before treatment.
5.Changes of Immunological Indexes and Blood Routine in Treatment of Aplastic Anemia by Yiqi Yangxue Prescription
Yaoyin ZHANG ; Chaochang ZHANG ; Jiaqi HE ; Wenru WANG ; Yubin DING ; Jinhuan WANG ; Ruirong XU ; Haixia DI ; Jiangwei WAN ; Qifeng LIU ; Haixia WANG ; Antao SUN ; Xudong TANG
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(12):97-104
ObjectiveTo investigate the immunological characteristics of the patients with aplastic anemia (AA) and elevated hemogram parameters treated with Yiqi Yangxue prescription combined with Western medicine and the predictive effects of immunological indexes on elevated hemogram parameters, thus providing a reference for the prediction of the treatment efficacy and the adjustment of the treatment regimen. MethodA retrospective study was conducted, involving 77 AA patients treated with Yiqi Yangxue prescription combined with Western medicine for 6 months in 19 medical institutions including Xiyuan Hospital, China Academy of Chinese Medical Sciences from September 2018 to March 2021. The patients were assigned into two groups according to the elevations in hemogram parameters [including hemoglobin (HGB), white blood cell count (WBC), platelet (PLT), and absolute neutrophil count (ANC)] after 6 months of treatment. One group had the elevation <50%, and the other group had the elevation ≥50% compared with the baseline. The clinical and immunological characteristics were compared between the two groups. Result① Compared with the group with HGB elevation<50%, the group with HGB elevation≥50% showed elevated level of CD3+ human leukocyte antigen-DR (HLA-DR)+ and increased proportion of patients with T-helper cell type 2 (Th2)<5%, CD8+≥50%, and CD3+HLA-DR+≥9% before treatment (P<0.05, P<0.01). The multivariate Logistic regression analysis showed that CD8+≥50% before treatment was the independent influencing factor for HGB elevation ≥50% [odds ratio (OR)=12.000, 95% confidence interval (CI) 2.218, 64.928, P<0.01]. ② Compared with the group with WBC elevation<50%, the group with WBC elevation≥50% showed increased proportion of patients with CD3+HLA-DR+<6% and T-box transcription factor (T-bet)≥200% before treatment (P<0.05). The multivariate Logistic regression analysis showed that CD3+HLA-DR+<6% (OR=2.998, 95%CI 1.036, 8.680, P<0.05) and T-bet≥200% (OR=3.634, 95%CI 1.076, 12.273, P<0.05) before treatment were independent influencing factors for WBC elevation≥50%. ③ Compared with the group with PLT elevation<50%, the group with PLT elevation≥50% presented lowered Th1 and CD3+HLA-DR+ levels and increased proportion of patients with Th1<12%, CD4+≥6%, and CD3+HLA-DR+<5% before treatment (P<0.05, P<0.01). The multivariate Logistic regression analysis showed that CD3+HLA-DR+<5% before treatment was the independent influencing factor for PLT elevation≥50% (OR=16.190, 95%CI of 3.430 to 76.434, P<0.01). ④ Compared with the group with ANC elevation<50%, the group with ANC elevation≥50% showed no significant changes in the hemogram parameters before treatment. ConclusionAs for the AA patients with rapid elevation in HGB, Yiqi Yangxue prescription combined with Western medicine demonstrate significant effects in the patients with Th2<5% and CD3+HLA-DR+≥9%, especially those with CD8+≥50%. As for the AA patients with rapid elevation in WBC, the therapy was particularly effective in the patients with CD3+HLA-DR+<6% and T-bet≥200%. As for the AA patients with rapid growth in PLT, the therapy was particularly effective in the patients with Th1<12% and CD4+≥6%, especially those with CD3+HLA-DR+<5%.