1.Air microorganisms in soldier living quarters of an underground tunnel during air-tight survival training:investigation and analysis
Zhidan GAO ; Yuanxiang LIAO ; Yongjian HAO ; Sipei SONG ; Chen CHEN
Military Medical Sciences 2015;(5):364-367
Objective To investigate the distribution of air microorganisms in soldies′living quarters of one under-ground tunnel during airtight survival training .Methods Anderson sampling was carried out in Area A and Area B ( living quarters) and Area C (a toilet) at designated time and place.After sampling, the culture and identification of microorgan-isms were finished .Results ①In the living quarters of the whole underground tunnel , the total number of bacteria ranged from 125 to 37 800/m3,but it was 2692, 1844 and 2199/m3, respectively in Area A, B and C.The mean number of bac-teria was 2245/m3 .The number of fungi ranged from 0 to 10 017/m3 .The total number of fungi of Area A , B and C was 1064 , 883 and 1011/m3 .The mean number was 986/m3 .②The number of bacteria in the living areas presented three fea-tures:the total bacteria showed overall three peaksin Area A and B, buttwin peaksin Area C.In Area A and B, the number of bacteria exhibited low colony at first but fluctuated heavily later .In Area C, it decreased gradually to the mini-mum,and the fungi showed a wavy and irregular trend .③The air microbial species included cocci ( Micrococcus, Coriolis of Staphylococcus aureus, S.epidermidis and S.equorum) , bacilli ( Acinetobacter baumannii, A.lwoffii and Alcaligenes faeca-lis),and fungi (Mucor and Saccharomyces).Conclusion Although the content of microorganisms was up to the military hygiene standards , it was higher than in the same kind of tunnels .Themulti peakphenomenon of microbial distribution suggests that the change of air microorganisms in tunnels has its own characteristics .Most of the air microorganisms are con-ditioned pathogens that may cause illness if they are not under control .
2.Risk factors of acute kidney injury in 438 patients with severe pneumonia
Yonghua PENG ; Xiaomin YU ; Sipei CHEN ; Jie XIAO
The Journal of Practical Medicine 2017;33(13):2175-2179
Objective To investigate the incidence and risk factors of acute kidney injury (AKI). Methods The clinical data of 438 patients with severe pneumonia who were admitted in the intensive care unit in 2016 were retrospectively analyzed for analysis of AKI and assessment of risk factors. Results Among the 438 patients with severe pneumonia,the incidence of AKI was 53.42%. Within 72 hours after admission into the ICU, 86.75% of them developed AKI mainly from hypovolemic or septic shock(accounting for 80.34%). The detection rate of AKI by the standards of RIFLE and AKIN was lower than by the standards of KDIGO (45.89%,48.17%vs. 53.42%). Anemia ,shock /hypotension ,drugs ,RRT ,APPACHE II scores were the predictors of AKI. Conclusions The incidence of severe pneumonia complicated with AKI is high. Most of the patients develop it in 72 hours after admission into the ICU. Anemia,shock/hypotension,drugs,RRT,APPACHE II scores are its risk factors.
3.The clinical efficacy of ω-3 fatty acids immune nutrition therapy in patients with acute ischemic stroke
Jianhong BAO ; Sipei PAN ; Guoqian CHEN ; Suili YANG ; Weian CHEN ; Xu ZHANG
Chinese Journal of Primary Medicine and Pharmacy 2016;23(9):1303-1306
Objective To explore the clinical value of ω-3 fatty acids (ω-3PUFA)immune nutrition therapy for the patients with acute ischemic stroke,and analyze its mechanism.Methods 40 patients with acute ischemic stroke were selected.They were divided into the treatment group and the control group,each group in 20 cases. The patients of the control group were given indwelling tube admitted to hospital within 24 hours,given the homogenized meal configured by nutriology department.The treatment group received ω-3PUFA enteral nutrition based on the control group.The neurologic recovery,nutritional status,lipid levels and the incidence of complications were evalua-ted.Results The total effective rate of the treatment group was 90.0%,which was higher than that of the control group (60.0%,χ2 =4.8,P <0.05).The incidence rate of complication of the treatment group was 30.0%,which was lower than the control group (65.0%,χ2 =4.91,P <0.05).The indicators such as NIHSS score,GCS score, TSF and AMC in the treatment group were better than those in the control group[(13.38 ±1.21)points vs.(10.12 ± 1.33)points;(12.9 ±2.6)points vs.(14.1 ±1.7)points;(14.06 ±7.16)mm vs.(14.8 ±4.18)mm;(26.32 ± 1.42)mm vs.(29.40 ±1.08)mm,t =3.51,6.44,3.22,5.19;all P <0.05].TG and LDL -C in the treatment group were lower than those in the control group[(1.60 ±0.71)mmol/L vs.(1.41 ±0.67)mmol/L;(3.11 ±0.60)mmol/L vs.(2.67 ±0.66)mmol/L,t =5.97,4.22;all P <0.05 ].Conclusion The clinical curative effect is better for application of ω-3PUFA on immune nutrition treatment for the patients with acute ischemic stroke.The patients'nerve function,blood lipid levels and nutritional status were significantly improved,and the complications were reduced.
4.Diagnostic value of quantitative ultrashort echo time adiabatic T 1ρ imaging in articular cartilage degeneration of the knee joint
Kai CHEN ; Xiaotong LIU ; Yi WANG ; Wenfeng LIU ; Sipei LIANG ; Mei WU
Chinese Journal of Radiology 2024;58(12):1424-1430
Objective:To investigate the value of quantitative ultrashort-echo-time (UTE) adiabatic T 1ρ (AdiabT 1ρ) in the diagnosis of articular cartilage degeneration of knee. Methods:A prospective case-control study was used. From March 2023 to September 2024, 30 healthy volunteers and 50 patients with osteoarthritis (OA) were recruited in the Second Affiliated Hospital, South China University of Technology and the Fifth Affiliated Hospital of Sun Yat-sen University. The unilateral knee joints were scanned by using three-dimensional (3D) UTE-Cones-AdiabT 1ρ sequence. The articular cartilages of knee were divided into 13 subregions slice by slice, with a total of 3 837 subregions. The whole-organ magnetic resonance-imaging score (WORMS) was evaluated in each subregion. According to the extent of lesions, the subregions cartilages were divided into normal group (WORMS 0, 2 589 subregions), localized lesion group (WORMS 1, 2, 2.5, 911 subregions) and diffuse lesion group (WORMS 3, 4, 5, 337 subregions). According to the depth of lesions, they were divided into normal group (WORMS 0, 2 589 subregions), partial cartilage layer lesions group (WORMS 1, 2, 3, 4, 1 108 subregions) and full-thickness lesion group (WORMS 2.5, 5, 140 subregions). WORMS 1 was early cartilage degeneration. The Kellgren-Lawrence (KL) grade of the knee joints was assessed and divided into normal group (KL grade 0, 1 323 subregions), suspicious or mild OA group (KL grades 1 and 2, 1 738 subregions), and moderate or severe OA group (KL grades 3 and 4, 776 subregions). The UTE-Cones-AdiabT 1ρ values and curves for each subregion were obtained by Matlab 2017b software. The ANOVA was used to compare the differences in UTE-Cones-AdiabT 1ρ between different WORMS groups and KL groups. Spearman correlation analysis was used to evaluate the correlation between UTE-Cones-AdiabT 1ρ and WORMS and KL groups. The receiver operating characteristic curve and area under the curve (AUC) were used to determine the efficacy of UTE-Cones-AdiabT 1ρ in diagnosing early cartilage degeneration and suspicious or mild OA. Results:Both normal volunteers and OA patients were able to obtain good cartilage images and well-fitting UTE-Cones-AdiabT 1ρ curves. There were 2 589, 569, 277, 65, 199, 63 and 75 cartilage subregions with WORMS scores of 0, 1, 2, 2.5, 3, 4 and 5, respectively, and the UTE-Cones-AdiabT 1ρ values were (36.1±5.1), (41.5±5.2), (42.3±5.3), (45.2±6.3), (43.0±5.2), (44.1±5.4) and (47.5±5.7) ms, respectively. The difference was statistically significant ( F=161.63, P<0.001). There was a statistically significant difference in UTE-Cones-AdiabT 1ρ among normal group, localized lesion group and diffuse lesion group ( F=450.92, P<0.001), and there was a significant difference in UTE-Cones-AdiabT 1ρ value among normal group, partial cartilage lesion group and full-thickness lesion group ( F=479.13, P<0.001). There was a statistically significant difference in UTE-Cones-AdiabT 1ρ among the normal group, the suspected or mild OA group, and the moderate or severe OA group ( F=36.91, P<0.001). The UTE-Cones-AdiabT 1ρ values in all subregions were positively correlated with WORMS and KL grades ( r=0.55, P<0.001; r=0.26, P<0.001). The AUC of UTE-Cones-AdiabT 1ρ in the diagnosis of early cartilage degeneration was 0.773 (95% CI 0.750-0.796), and the AUC in the diagnosis of suspicious or mild OA was 0.580 (95% CI 0.560-0.601). Conclusion:3D UTE-Cones-AdiabT 1ρ is positively correlated with the degree of cartilage degeneration, which can quantitatively evaluate cartilage degeneration and has the value of early diagnosis of articular cartilage degeneration.