1.Nosocomial Fungal Infection among Inpatients with Acute Leukemia:A Clinical Analysis
Jianfeng SHAO ; Maofang LIN ; Yonggen ZHONG ; Zhongmin LIU ; Jiaping FU ; Weiying FENG
Chinese Journal of Nosocomiology 1994;0(01):-
OBJECTIVE To analyze the risk factors,clinical characteristics and prevention countermeasures of(nosocomial) fungal infection in patients with acute leukemia.METHODS To adopt investigation way to review and analyze the clinical data of nosocomial fungal infection in 39 cases from 178 acute leukemia inpatients.RESULTS The(nosocomial) fungal infection rate was 21.91%.The nosocomial fungal infection rate in elderly group was(higher) than that of younger group,and in granulocytosis group(≥0.5?10~9/L) was higher than that of
2.Analysis of characteristics and risk factors related to adult patients of primary immune thrombocytopenia with infection
Weiying FENG ; Hongqiang LUO ; Yonggen ZHONG ; Ting LUO
Chinese Journal of Primary Medicine and Pharmacy 2018;25(22):2907-2911
Objective To analyze the risk factors related to adult patients of primary immune thrombocytopenia with infection,so as to provide basis for control and prevention of infection. Methods From January 2015 to December 2017,the clinical data of 166 adult patients of primary immune thrombocytopenia in the People's Hospital of Shaoxing-were retrospectively analyzed. Statistical analysis was performed by SPSS21. 0 statistical software. Results The infec-tion rate was 24. 70% (41 / 166). The risk factors related to infection were age(OR = 1. 290,P = 0. 011),the number of bone marrow megakaryocytes(OR = 1. 220,P = 0. 022),diabetes(OR = 2. 163,P < 0. 001) and glucocorticoid (OR =2. 203,P <0. 001). There were 45 strains of pathogenic bacteria detected in 41 patients,gram negative bacteria accounted for 51. 11% (23 / 45),gram positive bacteria accounted for 44. 44% (20 / 45),and fungi accounted for 4. 44% (2 / 45). Conclusion A variety of factors are related to infection in adult primary immune thrombocytopenia patients. It is necessary to take effective prevention measure,which will help reduce the incidence of infection.
3.Relationship of serum uric acid with prediabetes and newly detected type 2 diabetes mellitus.
Qian WU ; Ying GUAN ; Chun Ze XU ; Na WANG ; Xing LIU ; Feng JIANG ; Qi ZHAO ; Zhong Xing SUN ; Genming ZHAO ; Yonggen JIANG
Chinese Journal of Epidemiology 2022;43(10):1603-1610
Objective: To evaluate the relationship of serum uric acid with prediabetes and newly detected type 2 diabetes mellitus (T2DM) in adults. Methods: Data were obtained from the baseline investigation of Songjiang Peak-Plan cohort. According to the baseline fasting plasma glucose and glycosylated hemoglobin, the eligible subjects were divided into normal blood sugar group, prediabetes group, and newly detected T2DM group. Unconditional logistic regression model was used to explore the effect of serum uric acid level on prediabetes and newly detected T2DM, and restricted cubic spline (RCS) function was used to explore the nonlinear dose-response relationship of serum uric acid level with the prevalence of prediabetes and newly detected T2DM. Results: A total of 30 375 subjects were included in the analysis, with an average age of (55.36±11.52) years, and 60.2% (18 299) of them were women. The baseline survey found that the prevalence of prediabetes was 38.6% (11 739 cases), and the prevalence of newly detected T2DM was 6.6% (1 992 cases). Logistic regression analysis showed that, in women, for every 10µmol/L increase in serum uric acid, the risk of developing prediabetes and T2DM s increased by 2.4% (OR=1.024, 95%CI: 1.018-1.030), and 1.5% (OR=1.015, 95%CI: 1.005-1.025), respectively; in men, for every 10 µmol/L increase in serum uric acid, the risk of developing prediabetes and T2DM decreased by 0.8% (OR=0.992, 95%CI: 0.987-0.998) and 5.0% (OR=0.950, 95%CI: 0.939-0.960), respectively. The RCS function showed that the serum uric acid level showed a nonlinear dose-response relationship with newly detected T2DM (P=0.017), but not with prediabetes (P=0.670) in women and showed a nonlinear dose-response relationship with both prediabetes (P=0.040) and newly detected T2DM (P<0.001) in men. Conclusions: Adult women are at increased risk of prediabetes and newly detected T2DM with increase of serum uric acid level, and adult men are at decreased risk of newly diagnosed T2DM with the increase of serum uric acid level. There was no significant relationship between serum uric acid level and prediabetes in men.
Adult
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Male
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Female
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Humans
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Middle Aged
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Aged
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Prediabetic State/epidemiology*
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Uric Acid
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Diabetes Mellitus, Type 2/epidemiology*
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Glycated Hemoglobin
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Fasting