1.Clinical Characteristics and Risk Factors of Nosocomial Infection in 472 Patients with Non-Hodgkin Lymphoma.
Xiu-Huan DU ; Xue-Ya ZHANG ; Xiao-Rong LIN ; Qiao-Ling LIU ; Geng TAO ; Ping LIN
Journal of Experimental Hematology 2021;29(3):751-756
OBJECTIVE:
To investigate the clinical characteristics and risk factors of nosocomial infection in patients with non-Hodgkin lymphoma (NHL), in order to guide better clinical prevention and treatment of nosocomial infection.
METHODS:
The incidence of nosocomial infection, infection site, characteristics of pathogenic bacteria, drug sensitivity test results and infection risk factors of 472 non-Hodgkin lymphoma patients admitted to the Second Affiliated Hospital of Fujian Medical University from January 2015 to September 2020 were retrospectively analyzed.
RESULTS:
Among the 472 patients, 97 (20.6%) had nosocomial infection, mainly in the lower respiratory tract (41.2%), followed by oral cavity, upper respiratory tract, urogenital tract, and blood. A total of 71 strains of pathogenic bacteria were isolated, including Gram-negative (G
CONCLUSION
NHL patients show high nosocomial infection rate and lower respiratory tract infection is common. Hospital day, clinical stage, presence of bone marrow invasion, and neutrophil count in peripheral blood are independent risk factors.
Cross Infection/epidemiology*
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Drug Resistance, Bacterial
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Humans
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Lymphoma, Non-Hodgkin
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Methicillin-Resistant Staphylococcus aureus
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Retrospective Studies
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Risk Factors
3.Expression of SIL-2R in Patients with Multiple Myeloma and Its Clinical Significance.
Ping LIN ; Xiao-Rong LIN ; Qiao-Ling LIU ; Xue-Ya ZHANG ; Gen-Wang CHEN ; Ruo-Teng XIE ; Ya-Lan ZHANG ; Xiu-Huan DU
Journal of Experimental Hematology 2022;30(6):1797-1802
OBJECTIVE:
To investigate the expression and clinical significance of soluble interleukin-2 receptor(sIL-2R) in patients with multiple myeloma(MM).
METHODS:
54 newly diagnosed MM patients in the Second Affiliated Hospital of Fujian Medical University from February 2020 to December 2021 were selected as the observation group, and 60 healthy people in our hospital in the same period were selected as the control group. The expression levels of sIL-2R in the serum of the two groups were detected by enzyme-linked immunosorbent assay. The differences of sIL-2R expression level among different clinical parameter groups in MM patients were compared. The clinical parameters include:gender, age, ISS stage, hemoglobin, albumin, serum creatinine, lactate dehydrogenase and β2-microglobulin, blood calcium, bone marrow plasma cell ratio and treatment response. The relationship between sIL-2R expression level and progression-free survival(PFS) and overall survival(OS) in MM patients were analyzed.
RESULTS:
The expression of serum SIL-2R in MM patients was significantly higher than that in healthy control group (P<0.05). The expression of sIL-2R in MM patients who did not achieve complete remission(CR) was significantly higher than those of CR patients (P=0.037). There was no significant difference in the expression of serum sIL-2R between the groups of different sex, age, ISS stage, hemoglobin concentration, albumin content, serum creatinine level, lactate dehydrogenase level, the content of β2-microglobulin, the concentration of blood calcium, and the proportion of bone marrow plasma cells(P>0.05). The PFS of sIL-2R high expression group(15 months) was shorter than that of sIL-2R low expression group (22 months), which was significant difference (P=0.041). But there was no significant difference in OS between sIL-2R high expression group and sIL-2R low expression group (P=0.124). Univariate analysis results showed that the high expression of serum sIL-2R was associated with poor PFS in MM patients. Multivariate analysis results showed that the high expression of serum sIL-2R was still an independent adverse prognostic factor for PFS in MM patients, However, the expression of serum sIL-2R was not statistically significant in evaluating OS in MM patients by univariate and multivariate analysis.
CONCLUSION
The expression of serum sIL-2R in MM patients was significantly higher than that in healthy people. Serum sIL-2R is an independent prognostic factor of PFS in MM patients.
Humans
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Calcium
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Clinical Relevance
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Creatinine
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Lactate Dehydrogenases
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Multiple Myeloma
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Receptors, Interleukin-2
4.Distribution of Microbiota in Fine Particulate Matter Particles in Guangzhou, China.
Shi Rui DONG ; Ya Jing HAN ; Jing WU ; Cheng Li ZENG ; Ke Hui ZHU ; Xiao Jing CHEN ; Yu Mei LIU ; Xiao Qian ZOU ; Shao Ling ZHENG ; Zi Hao WEN ; Dan Dan LIU ; Yao WANG ; Xiu Xia HUANG ; Xiu Ben DU ; Jian Lei HAO ; Huan Yu WANG ; Shu GUO ; Chun Xia JING ; Guang YANG
Biomedical and Environmental Sciences 2020;33(5):306-314
Objective:
High PM concentration is the main feature of increasing haze in developing states, but information on its microbial composition remains very limited. This study aimed to determine the composition of microbiota in PM in Guangzhou, a city located in the tropics in China.
Methods:
In Guangzhou, from March 5 to 10 , 2016, PM was collected in middle volume air samplers for 23 h daily. The 16S rDNA V4 region of the PM sample extracted DNA was investigated using high-throughput sequence.
Results:
Among the Guangzhou samples, , , , , and were the dominant microbiota accounting for more than 90% of the total microbiota, and was the dominant gram-negative bacteria, accounting for 21.30%-23.57%. We examined the difference in bacterial distribution of PM between Beijing and Guangzhou at the genus level; was found in both studies, but was only detected in Guangzhou.
Conclusion
In conclusion, the diversity and specificity of microbial components in Guangzhou PM were studied, which may provide a basis for future pathogenicity research in the tropics.
Air Microbiology
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Air Pollutants
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analysis
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Bacteria
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classification
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isolation & purification
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China
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Cities
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Environmental Monitoring
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Microbiota
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Particle Size
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Particulate Matter
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analysis
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RNA, Bacterial
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analysis
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RNA, Ribosomal, 16S
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analysis
5.To compare the efficacy and incidence of severe hematological adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia.
Xiao Shuai ZHANG ; Bing Cheng LIU ; Xin DU ; Yan Li ZHANG ; Na XU ; Xiao Li LIU ; Wei Ming LI ; Hai LIN ; Rong LIANG ; Chun Yan CHEN ; Jian HUANG ; Yun Fan YANG ; Huan Ling ZHU ; Ling PAN ; Xiao Dong WANG ; Gui Hui LI ; Zhuo Gang LIU ; Yan Qing ZHANG ; Zhen Fang LIU ; Jian Da HU ; Chun Shui LIU ; Fei LI ; Wei YANG ; Li MENG ; Yan Qiu HAN ; Li E LIN ; Zhen Yu ZHAO ; Chuan Qing TU ; Cai Feng ZHENG ; Yan Liang BAI ; Ze Ping ZHOU ; Su Ning CHEN ; Hui Ying QIU ; Li Jie YANG ; Xiu Li SUN ; Hui SUN ; Li ZHOU ; Ze Lin LIU ; Dan Yu WANG ; Jian Xin GUO ; Li Ping PANG ; Qing Shu ZENG ; Xiao Hui SUO ; Wei Hua ZHANG ; Yuan Jun ZHENG ; Qian JIANG
Chinese Journal of Hematology 2023;44(9):728-736
Objective: To analyze and compare therapy responses, outcomes, and incidence of severe hematologic adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia (CML) . Methods: Data of patients with chronic phase CML diagnosed between January 2006 and November 2022 from 76 centers, aged ≥18 years, and received initial flumatinib or imatinib therapy within 6 months after diagnosis in China were retrospectively interrogated. Propensity score matching (PSM) analysis was performed to reduce the bias of the initial TKI selection, and the therapy responses and outcomes of patients receiving initial flumatinib or imatinib therapy were compared. Results: A total of 4 833 adult patients with CML receiving initial imatinib (n=4 380) or flumatinib (n=453) therapy were included in the study. In the imatinib cohort, the median follow-up time was 54 [interquartile range (IQR), 31-85] months, and the 7-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.2%, 88.4%, 78.3%, and 63.0%, respectively. The 7-year FFS, PFS, and OS rates were 71.8%, 93.0%, and 96.9%, respectively. With the median follow-up of 18 (IQR, 13-25) months in the flumatinib cohort, the 2-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.4%, 86.5%, 58.4%, and 46.6%, respectively. The 2-year FFS, PFS, and OS rates were 80.1%, 95.0%, and 99.5%, respectively. The PSM analysis indicated that patients receiving initial flumatinib therapy had significantly higher cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) and higher probabilities of FFS than those receiving the initial imatinib therapy (all P<0.001), whereas the PFS (P=0.230) and OS (P=0.268) were comparable between the two cohorts. The incidence of severe hematologic adverse events (grade≥Ⅲ) was comparable in the two cohorts. Conclusion: Patients receiving initial flumatinib therapy had higher cumulative incidences of therapy responses and higher probability of FFS than those receiving initial imatinib therapy, whereas the incidence of severe hematologic adverse events was comparable between the two cohorts.
Adult
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Humans
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Adolescent
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Imatinib Mesylate/adverse effects*
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Incidence
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Antineoplastic Agents/adverse effects*
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Retrospective Studies
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Pyrimidines/adverse effects*
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Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy*
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Treatment Outcome
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Benzamides/adverse effects*
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Leukemia, Myeloid, Chronic-Phase/drug therapy*
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Aminopyridines/therapeutic use*
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Protein Kinase Inhibitors/therapeutic use*