Objective To investigate the modulation of EPCs by interleukin 1β (IL-1β) and p38 mitogen activated protein kinase (p38MAPK) and the pathogenesis resulting from their dysdifferenfiation after trauma.Method Thirty pigs were divided into a control group (n = 15) and a multiple organ dysfimction syndrome (MODS) group (n = 15), the latter of which were subjected to a "two-hit" injury including hemon'hagic shock and endotoxemia. Phosphorylation of p38MAPK in peripheral blood mononuclear cells was monitored by western blotting. The concentration of IL-1β in peripheral blood plasma was determined by ELISA and the numbers of EPCs with FCM in peripheral blood plasma were monitored. The morbidity rates in the two groups were compared by chi square test. The levels of phosphorylation of p38MAPK in peripheral blood mononuclear cells, the concentmtions of IL-1β in peripheral blood plasma and the numbers of EPCs in the peripheral blood were compared between groups using with Student's t lest. Results The level of p38MAPK phosphorylation was more augmented and the concen-tration of IL-1β higher in peripheral blood mononuelear cells and plasma from MODS pigs compared with those from control pigs; nevertheless the mauler of EPC conspicuously decreased in the peripheral blood (P <0.01). The morbidity rate in the MODS group was much higher than that in the control group (P < 0.01). There were fewer EPCs in the peripheral blood of animals in group M than in the peripheral blood of animals in group C (P <0.01). Conclusions p38MAPK phosphorylation is important for the pathogenesis of MODS. p38MAPK phospho-rylation might cause the concentration of IL-1β in the peripheral blood plasma to rise and could cause a drop in the numbers of EPCs, thereby aggravating the inflanmmatory reaction in MODS.

OBJECTIVETo evaluate the reliability and validity of Professional Quality of Life Scale (ProQOL-30, 4th version, 30 items) among government staff in the Wenchuan earthquake-stricken areas

METHODSA total of 1,175 members of government staff in the Wenchuan earthquake-stricken areas were selected by convenience sampling and required to complete the ProQOL and Self-Reporting Questionnair (SRQ). The reliability and validity of the scale was evaluated by correlation analysis, t-test, and confirmatory factor analysis.

RESULTSItem-total correlation coefficients of the three subscales were 0.590 - 0.752, 0.389 - 0.603, and 0.340 - 0.647, respectively (P<0.05), and the average coefficients were 0.672, 0.482, and 0.555 respectively (P<0.05). The Cronbach's α coefficients of the three subscales were 0.864, 0.569, and 0.742 respectively, and the split-half reliabilities were 0.829, 0.490, and 0.677, respectively. P value was 0.88 in thE chi-square test of confirmatory factor analysis model. Goodness-of-fit indices of ProQOL-30 included GFI=0.895 NFI=0.856, CFI=0.895, RMSEA=0.063, and AGFI=0.912. For the ProQOL-28 as an optimized version o ProQOL-30, the Cronbach's a coefficients for burnout and trauma/compassion fatigue increased to 0.616 and 0.757, respectively. P value was 0.91 in the chi-square test of confirmatory factor analysis model test. Goodness-of-fit indices of ProQOL-28 were GFI =0.913, AGFI =0.924, NFI =0.900, CFI =0.913, and RMSEA =0.031 CONCLUSION: ProQOL-28 has good reliability and validity among government staff in the earthquake-stricker areas in China.

China ; Disasters ; Earthquakes ; Factor Analysis, Statistical ; Government ; Humans ; Quality of Life ; Reproducibility of Results ; Surveys and Questionnaires

Objective:To analyze the duration of each phase of Unity MR-linac in clinical application, aiming to provide reference for clinical optimization of the process time.Methods:Clinical data of 55 patients treated with Unity MR-linac were retrospectively analyzed. All patients were divided into the adapt to position (ATP) and adapt to shape (ATS) groups according to the planning method. The duration of each phase in the treatment process, the name and the time of each sequence, the number of beams, segments and total monitor units (MUs) were recorded and compared between two groups. In addition, the set-up time was counted according to different treatment sites. The time of each sequence and set-up time were expressed as the median M (Q 1, Q 3), and the number of beams, segments and total MUs of each plan were described as the mean±SD. Results:42 patients underwent ATP with a total of 305 treatment sessions: setup time was 3(2, 5) min, MR scanning time was 5(4, 7) min, registration time was 3(3, 4) min, adaptive planning time was 8(4, 12) min, beam on time was 8(6, 11) min, and the total time was 30(25, 36) min. 13 patients received ATS with a total of 65 treatment sessions: setup time was 2(2, 3) min, MR scanning time was 7(5, 8) min, registration time was 4(3, 5) min, time of delineation of target and organs at risk was 12(9, 16) min, adaptive planning time was 11(10, 14) min, beam on time was 10(9, 11) min and the total time was 55(49, 61) min. The set-up time according to treatment sites was 4(2, 4) min in the head and neck, 2(2, 4) min in the chest, and 3(2, 5) min in the abdomen. The number of fields, segments and total MUs during ATP were 8.1±1.7, 49.9±31.2, 846.75±363.44 in the head and neck, 8.0±2.0, 60.7±13.3, 790.21±279.00 in the chest, and 9.7±2.0, 81.2±22.3, 2007.32±1053.81 in the abdomen, respectively. The number of fields, segments and total MUs during ATS in head and neck of one case were 13, 39, 993.07, and 9.5±1.5, 65.5±6.3, 2763.26±835.41 in the abdomen.Conclusions:MR-guided radiotherapy yields huge potential in clinical application. However, there is still much room for the improvement of shortening the process duration.

Objective:To analyze the time needed for active breathing coordinator (ABC) coaching in tumor patients, and to explore the influencing factors of coaching time.Methods:A retrospective study was conducted on 93 patients who received ABC treatment led by the same staff at the Cancer Hospital of Chinese Academy of Medical Sciences from September 2019 to April 2021. The effects of education level, body mass index (BMI), age, gender and disease type on the couching time were analyzed. The coaching time was expressed as Mean ± SD. Independent sample t-test or rank sum test was used for comparison between different groups. P<0.05 was considered statistically significant. Results:Statistical significance was observed in the effect of education level, BMI and age on coaching time. The coaching time in the higher education group was (9.74±3.80) min, significantly shorter than the (13.79±6.03) min ( P=0.001) of the primary education group and the (13.03±5.14) min ( P=0.021) of the middle education group. The couching time in the BMI<24 kg/m 2 group was (10.27±3.98) min, significantly shorter compared with (12.74±5.60) min ( P<0.001) in the BMI≥24 kg/m 2 group. The coaching time in the ≥60 years old group was (14.12±5.06) min, significantly longer than the (9.86±3.76) min ( P=0.002) of the ≤40 years old group and the (11.30±5.10) min ( P=0.021) of the 40-60 years old group. No significant differences were noted in the effect of gender, disease type and tumor staging on the coaching time. The coaching time in males and females was (13.54±5.89) and (10.94±4.61) min, respectively ( P=0.071). The coaching time of patients with breast cancer, lung cancer, liver cancer, mediastinal lymphoma and pancreatic cancer was (10.75±4.72), (15.30±5.57), (11.69±4.96), (9.86±3.61) and (12.15±0.07) min, respectively ( P=0.071). The coaching time of stageⅠ,Ⅱ,Ⅲ and Ⅳ patients was (10.35±4.37), (11.88±5.30), (9.52±2.51) and (14.32±5.27) min ( P=0.060). Conclusions:Patients with higher education level and BMI<24 kg/m 2 require less ABC coaching time. Patients aged≥60 years require longer coaching time. Gender, disease type and clinical stage exert no significant effect on the duration of coaching.