ObjectiveTo investigate the effect of ropivacaine administered intrathecally on the pulmonary function after caesarean section.MethodsThirty-six ASA Ⅰ or Ⅱ parturients,aged 22-34 yr,with body mass index ≤35 kg/m2,undergoing elective cesarean section,were randomly divided into 2 groups (n=18 each):bupivacaine group (group B) and ropivacaine group (group R).Spinal anesthesia was performed at L3,4 interspace and 0.5％ bupivacaine 1.8 ml (in cerebrospinal fluid 3 ml) and 1.0％ ropivacaine 1.4 ml (in cerebrospinal fluid 3 ml) were injected into the subarachnoid space over 10 s in groups B and R respectively.Forced vital capacity (FVC),forced expiratory volume first second (FEV1) and peak expiratory flow (PEF) were measured by spirometry before surgery (T0),and at 1,1.5 and 2 h after intrathecal injection (T1-3).The motor block score was recorded at T1-3.It is regarded as the criteria for respiratory dysfunction that the measured values of FVC and FEV1 are lower than their 80 ％ and 70 ％ predicted levels respectively.ResultsFVC and FEV1 were significantly decreased at T1 compared with the baseline value at T0 in both groups (P＜0.05).Compared with that at T1,PEF was significantly increased at T2,3 in group R (P ＜0.05).Compared with group B,PEF at T1 and motor block score atT3 were significantly decreased in group R (P＜0.05).The respiratory dysfunction was not found in both groups.ConclusionSpinal anesthesia with ropivacaine and bupivacaine can inhibit the parameter level of carly pulmonary function afrer caesarean section in parturient without respiratory complications,but the pulmonary function still remains normal.

Objective:To analyze the correlation between the skin temperature changes in the radiation area and the occurrence of radiodermatitis during postoperative radiotherapy for female breast cancer and to explore the application value of skin temperature monitoring in the early warning of radiodermatitis risks.Methods:A total of 103 patients who received three-dimensional conformal radiotherapy after radical mastectomy in the Fourth Hospital of Hebei Medical University were continuously enrolled from May to November, 2022 in this study. Their skin temperature in the radiation area and radiodermatitis were recorded weekly. The relationships between relative skin temperature differences and different grades of radiodermatitis were determined. The optimal cut-off values for grade ≥ radiodermatitis were calculated, and the predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Furthermore, the radiodermatitis risks under different skin temperatures were compared using binary logistic regression.Results:There was a positive correlation between the skin temperature in the radiation field and the grade of radiodermatitis. The optimal cut-off values for the average relative skin temperature difference of the chest wall (under 40 Gy/20 fractions), the maximum relative skin temperature difference of the chest wall (under 40 Gy/20 fractions), and the relative skin temperature difference of the supraclavicular block (under 30 Gy/15 fractions) were 0.45℃, 0.55℃, 0.15℃, respectively. The patients were divided into low- and high-risk groups based on the optimal cut-off values (0.45℃, 0.55℃, and 0.15℃). Binary logistic regression result showed that the risks of grade ≥ 2 radiodermatitis in the high-risk group were 5.71, 4.29, and 5.15 times those in the low-risk group, respectively ( OR = 5.71, 95% CI 1.81-17.99, P = 0.003; OR = 4.29, 95% CI 1.65-11.12, P = 0.003; OR = 5.15, 95% CI 2.16-12.31, P < 0.001). Conclusions:Skin temperature monitoring using medical infrared thermometers can be used to effectively predict the occurrence of grade ≥ 2 radiodermatitis. The skin temperature changes in the radiotherapy area should be closely observed. The risk of grade ≥ 2 radiodermatitis will increase when the mean and maximum relative temperature differences of the chest wall increase by 0.45℃ and 0.55℃, respectively under 40 Gy/20 fractions of radiotherapy or when the relative temperature differences of the supraclavicular block increases by 0.15℃ under 30 Gy/15 fractions of radiotherapy.

OBJECTIVE To establish a quantitative analysis model for the contents of tussilagone， moisture， ethanol-soluble extract and total ash in Farfarae Flos based on near-infrared spectroscopy （NIRS）， providing a new idea for the rapid quality evaluation of Farfarae Flos and its preparations. METHODS Referring to the 2020 edition of the Chinese Pharmacopoeia， the contents of the main quality control indexes tussilagone， moisture， ethanol-soluble extract and total ash in 130 batches of Farfarae Flos from 19 producing areas were determined by HPLC， drying method， hot dip method and ash assay， respectively. The NIRS data information of the medicinal herbs of Farfarae Flos was collected， and then NIRS combined with the partial least squares method was used to establish the individual quantitative analysis models of the above quality control indexes in the samples， and the predictive model of the NIRS content was obtained after sample validation with validation set. RESULTS The range for the contents of tussilagone， moisture， ethanol-soluble extract and total ash in 130 batches of Farfarae Flos were 0.051 4%-0.103 5%， 7.75%-10.93%， 20.17%-31.12%， and 7.68%-12.10%， respectively. The internal cross-validation coefficients of determination （R2） of the established models for the quantitative analysis of tussilagone， moisture， ethanol-soluble extract and total ash in Farfarae Flos were 0.985 8， 0.968 4， 0.973 4， 0.988 0， respectively； the root mean square errors of calibration （RMSEC） were 0.001 54， 0.187， 0.478， 0.127， respectively； the root mean square errors of prediction （RMSEP） were 0.001 81， 0.212， 0.543， 0.149， respectively； RMSEP/RMSEC were 1.175 3， 1.133 7， 1.136 0 and 1.173 2， respectively， which were all within a reasonable range （1＜RMSEP/RMSEC≤1.2）. The mean absolute errors between the true and model-predicted values of the above four quality control indexes in the validation set of samples were －0.000 36， 0.061 43， 0.144 00， and 0.010 43， respectively，and the mean predicted recoveries were 99.65%， 100.72%，100.66%， and 100.15%， respectively. CONCLUSIONS The established NIRS quantitative analysis model has high stability and reliable results， which can be used for the rapid batch prediction of the content of relevant quality control indexes in Farfarae Flos.

OBJECTIVE: To analyze the influencing factors that cause occupational stress among female workers in a large electronic manufacturing enterprise. METHODS: A total of 1 081 female workers from a large electronic manufacturing enterprise were selected by the cluster random sampling method. The Chinese version of Job Content Questionnaire and Effort Reward Imbalance Questionnaire were used to assess occupational stress and its influencing factors were analyzed.RESULTS: Among 1 081 female workers,70. 95% and 19. 43% of them showed high level of occupational stress of job demand-control( JDC) model and effort-reward imbalance( ERI) model,respectively. Educational level with senior high school and above,assembly line working and exposure to occupational hazards were risk factors for high occupational stress of JDC model in female workers( P < 0. 01). The risk of high occupational stress ERI model in female workers with junior high school educational level and below was higher than that of senior high school educational level and above( P < 0. 01).CONCLUSION: The occupational stress rate of female workers in this electronic manufacturing enterprise is high. The main occupational stress model is JDC model. The main influencing factors of JDC model are educational level,operation mode and status of occupational hazard exposure.