BackgroundSleep disorder in the first trimester is a fairly common health problem， and previous studies have mainly reflected the overall sleep quality through scale assessments， which may not accurately capture the differences among various subtypes. ObjectiveTo explore the latent profiles of sleep quality in first-trimester pregnant women and identify the physiological， psychological and social factors， in order to provide practical references for the development of personalized interventions for sleep disorders in first-trimester pregnant women. MethodsA total of 1 066 first-trimester pregnant women who visited the obstetric outpatient clinic of a tertiary A hospital in Shenzhen from October 2021 to October 2022 were investigated using the general information questionnaire， Pittsburgh Sleep Quality Index （PSQI）， Edinburgh Postnatal Depression Scale （EPDS）， Chinese version of short International Physical Activity Questionnaire （IPAQ-S-C） and Social Capital Assessment Tool in Pregnancy for Maternal Health （SCAT-MH）. Then the sleep profiles were identified through latent profile analysis， and the robust mixture regression model was employed to determine the influencing factors of sleep profiles. ResultsA 3-profile solution showed the best fit： 732 cases （68.67%） of good sleep quality group， 87 cases （8.16%） of low sleep efficiency group， and 247 cases （23.17%） of daytime dysfunction group. In comparison with subjects in good sleep quality group， first-trimester pregnant women in low sleep efficiency group were at a younger age （OR=0.951， 95% CI： 0.922~0.980）， held a Bachelor's degree or above （OR=1.869， 95% CI： 1.260~2.773） and exhibited lower levels of social capital （OR=0.962， 95% CI： 0.951~0.973）， while those in daytime dysfunction group were at an older age （OR=1.072， 95% CI： 1.027~1.120） and had higher levels of depression （OR=1.166， 95% CI： 1.115~1.218）. Pregnant women who were workers （OR=0.507， 95% CI： 0.293~0.876） were less likely to report daytime dysfunction. ConclusionThree latent profiles with significant heterogeneity are derived from the sleep quality of first-trimester pregnant women， and levels of depression and social capital are the main influencing factors of sleep quality. ［Funded by Industry-University-Research Innovation Fund for Chinese Universities （number， 2023HT018）］

Objective:To construct and evaluate the nomogram prediction model of spontaneous rupture of primary liver cancer (STRPLC), and make the web-based dynamic online nomogram.Methods:Clinical data of 346 patients with PLC treated in the Second Affiliated Hospital of Kunming Medical University were retrospectively analyzed, including 87 males and 15 females, aged 58.15±10.32 years. Single factor and multiple factor logistic regression analysis were used to screen the influencing factors of STRPLC, and the prediction model was constructed based on the nomogram. Receiver operating characteristic (ROC) curve, calibration curve and clinical decision analysis were used to evaluate the model. The web-based dynamic online nomogram was developed using the DynNom package in R4.3.1 software.Results:Multivariate logistic regression analysis showed that the independent risk factors for spontaneous rupture and hemorrhage of tumor were no history of systematic anti-tumor therapy, alpha-fetoprotein (AFP) level, tumor protrusion on liver surface, tumor length, invasion of major blood vessels, and moderate to large amount of ascites (all P<0.05). The area under the receiver operating characteristic curve (AUC) of the prediction model constructed by this nomogram is 0.913 (95% CI: 0.884-0.943), the best cutoff value is 0.254, with a sensitivity of 0.892, and a specificity of 0.803. The calibration curve shows a good agreement between the predicted probability and the actual probability. The decision curve of the model is above the two invalid lines of " none" and " all" in the horizontal range of 0.07-0.98, and the clinical net benefit of the model is >0. Then user-friendly web-based dynamic online nomogram is constructed. Conclusion:Large tumor size, superficial location, no history of systematic anti-tumor therapy, high AFP level, invasion of major blood vessels, and moderate to large amount of ascites are independent risk factors for STRPLC. The prediction model and dynamic online nanogram constructed by this method can effectively assess the risk of STRPLC.

Objective:To construct and evaluate the nomogram prediction model of spontaneous rupture of primary liver cancer (STRPLC), and make the web-based dynamic online nomogram.Methods:Clinical data of 346 patients with PLC treated in the Second Affiliated Hospital of Kunming Medical University were retrospectively analyzed, including 87 males and 15 females, aged 58.15±10.32 years. Single factor and multiple factor logistic regression analysis were used to screen the influencing factors of STRPLC, and the prediction model was constructed based on the nomogram. Receiver operating characteristic (ROC) curve, calibration curve and clinical decision analysis were used to evaluate the model. The web-based dynamic online nomogram was developed using the DynNom package in R4.3.1 software.Results:Multivariate logistic regression analysis showed that the independent risk factors for spontaneous rupture and hemorrhage of tumor were no history of systematic anti-tumor therapy, alpha-fetoprotein (AFP) level, tumor protrusion on liver surface, tumor length, invasion of major blood vessels, and moderate to large amount of ascites (all P<0.05). The area under the receiver operating characteristic curve (AUC) of the prediction model constructed by this nomogram is 0.913 (95% CI: 0.884-0.943), the best cutoff value is 0.254, with a sensitivity of 0.892, and a specificity of 0.803. The calibration curve shows a good agreement between the predicted probability and the actual probability. The decision curve of the model is above the two invalid lines of " none" and " all" in the horizontal range of 0.07-0.98, and the clinical net benefit of the model is >0. Then user-friendly web-based dynamic online nomogram is constructed. Conclusion:Large tumor size, superficial location, no history of systematic anti-tumor therapy, high AFP level, invasion of major blood vessels, and moderate to large amount of ascites are independent risk factors for STRPLC. The prediction model and dynamic online nanogram constructed by this method can effectively assess the risk of STRPLC.

Objective:To explore the predictive value of the change rate of parathyroid hormone (PTH) after total thyroidectomy (TT) for hypoparathyroid function.Methods:A total of 182 patients with thyroid tumor who underwent TT from Jan. 2018 to Jun. 2023 in the Department of Otolaryngology, Head and Neck Surgery, Second Hospital of Shanxi Medical University were retrospectively selected as the study objects. The clinical and surgical data of the patients were collected, and the key factors associated with postoperative hypoparathyroidism were screened by multi-factor analysis. The change rate of serum PTH was calculated during perioperative period (before operation, at the end of operation, 1 and 3 days after operation). Receiver operator curve (ROC) was used to analyze the predictive value of PTH change rate in all patients.Results:Whether temporary hypoparathyroidism (THP) or permanent hypoparathyroidism (PHP), both were closely related to TT+ bilateral central lymph node dissection ( χ2=33.764, 9.235, P < 0.05) and parathyroid resection ( χ2=6.512, 58.999, P < 0.05). The change rate of PTH in HP patients was significantly higher than that in normal patients ( F=15.993, 16.830, 19.024, P < 0.05), and on the first and third day after surgery, the change rate of PTH in PHP patients was significantly higher than that in THP patients ( t=7.955, 9.023, P < 0.05). The predicted area under curve (AUC) of THP or PHP in different patient populations is different with the change rate of PTH in different periods. For patients with TT+ bilateral central lymph node dissection and parathyroidectomy, the change rate of PTH at the end of surgery was significantly higher than the change rate of PTH at 3 days after surgery for the AUC with PHP ( Z=5.433, 4.923, P < 0.05) . Conclusion:Perioperative PTH has good predictive value for THP and PHP in TT patients, especially in TT+ bilateral central lymph node dissection and parathyroidectomy.

Objective: To establish and evaluate the pyroptosis model of rat chondrocytes induced by tumor necrosis factor-α(TNF-α). Methods: A two-step enzymatic digestion method was used to obtain rat articular chondrocytes, inverted phase contrast microscope was used to observe the morphological structure of chondrocytes. Toluidine blue staining and type Ⅱ collagen(Col Ⅱ) staining were used to identify chondrocytes. Different mass concentrations of TNF-α(5, 10, 20, 40 ng/ml) were used to establish the pyroptosis model with TNF-α(0 ng/ml) as the control group. Cell viability was detected by CCK-8 method and proteins of pyroptosis signal were detected by Western blot. The levels of IL-1β and IL-18 in cultured supernatants were examined by ELISA kits. The expression of gasdermin D(GSDMD) in chondrocytes was detected by immunofluorescence. Scanning electron microscope was used to observe the morphological changes of chondrocyte. Results: Compared with the control group, the cell viability of rat chondrocytes gradually decreased with the increase of TNF-α concentration and the expression of nucleotide-binding and oligomerization domain-like receptor containing protein 3(NLRP3), caspase-1, GSDMD and Phospho-NF-κB p65(P-p65) proteins increased. Furthermore, TNF-α(20 ng/ml) could up-regulate the expression of matrix metalloproteinase-13(MMP-13), the fluorescence expression of GSDMD and the levels of IL-1β and IL-18 while the expression of Col Ⅱ was distinctly reduced. What′s more, the articular chondrocytes were swollen,and the microstructure was destroyed. Conclusion TNF-α(20 ng/ml) can cause the swelling and death of rat chondrocytes, degradation of cartilage matrix and activation of pyroptosis signaling pathway. The pyroptosis model of rat chondrocytes was successfully established.

Objective:To understand the quality of life of high risk population of stroke in community and analyze the influencing factors.Methods:Four community health service centers in Huangpu District were randomly selected, and the subjects were included by using convenient sampling method among the high risk groups of stroke found in the community stroke screening and prevention and control project in Shanghai.The World Health Organization quality of life scale-brief form questionnaire(WHOQOL-BREF), self-rating depression scale (SDS) and self-rating anxiety scale (SAS) were used as the survey tools to study 1200 high-risk stroke subjects.Single sample t-test was used to compare the differences between the scores and the data of 24 centers in the world, and multiple linear stepwise regression were used to analyze the influencing factors. Results:The scores of physical field, psychological field and social relationship field ((13.60±1.86), (14.58±1.97), (13.72±2.10)respectively) of high-risk population of stroke were lower than the scores of general population of 24 centers in the world ( P<0.01), and the scores of environmental field (14.08±1.95) were higher than it ( P<0.01), of which the differences were all statistically significant.The results of multiple linear stepwise regression analysis showed that old age, anxiety and depression were the risk factors influencing the scores of physical field( β=-0.027, -0.056, -0.051), psychological field( β=-0.019, -0.055, -0.050) and environmental field( β=-0.017, -0.040, -0.054); old age and depression were the risk factors influencing the scores of social relationship field( β=-0.026, -0.067); anxiety and depression were the risk factors influencing the self-assessment of quality of life and health ( β=-0.012, -0.014 for quality of life; -0.012, -0.014 for health, all P<0.01). Conclusion:The quality of life of high-risk population of stroke may be related to age, depression, anxiety and other psychological factors.The prevention and treatment of stroke should take both physical and mental measures, take timely intervention for poor psychological status, and gradually improve the quality of life.

【Objective】 To evaluate the influence of establishing " blood station-hospital" information management system, based on the concept of Internet, on blood supply and use. 【Methods】 Blood information management system was established in our blood station, and connected to 21 secondary and above hospitals with blood storage function in Maoming to achieve interconnection and timely observation and recording of blood collection, supply and use. The working intensity, blood appointment, incidence of adverse reactions of clinical blood transfusion and satisfaction rate of clinical blood consumption before (April 2017 to March 2018) and after (April 2018 to March 2019) the application of the blood station-hospital information system were compared. 【Results】 In the same period before and after the implementation of blood station-hospital information system, the blood volume (U) collected was 78 249 vs 87 044.5, and the total blood supplied (U) was 225 276.5 vs 249 303, with growth rates at 11.24% and 10.67%, respectively; The average daily working intensity (s) of blood supply staff was 68.68±4.13 vs 41.71±3.76 (P<0.01), and average daily area (m²) was 9.82±3.51 vs 3.31±3.49 (P<0.05). The appointment time of clinical blood by telephone (s) was 110.34±6.79 vs 56.38±4.18 (P< 0.01), by network was 28.55±2.27 vs 13.48±2.76 (P<0.01); The incidence of transfusion adverse reactions was 0.035% (11/31 250) vs 0.012% (5/42 314) P<0.05); The satisfaction rates of clinical blood consumption were 85.71% (18/21) vs 100% (21/21) (P<0.01). 【Conclusion】 The implementation of blood station-hospital information system improved the efficiency of blood collection and supply in blood stations, and reduced the work intensity of blood supply staff. It is beneficial to reduce the incidence of adverse reactions of clinical blood transfusion and improve the satisfaction rate of blood consumption.

Herein, a strategy is proposed for the simultaneous determination of primary coumarins in Peucedani Radix (Chinese name: Qianhu). The methodology consists of three consecutive steps: 1) Semi-preparative LC in combination with a home-made automated fraction collection module to fragment the universal metabolome standard into ten fractions (Frs. I-X); 2) LC-accurate MS/MS and quantitative H NMR spectroscopy conducted in parallel to acquire the qualitative and quantitative data of each fraction; 3) Robust identification and quantification of components by use of LC coupled to multiple reaction monitoring. In this final step, the most significant fractions (Frs. III-X) were pooled to serve as the pseudo-mixed standard solution. Meticulous online parameter optimization was performed to obtain the optimal parameters, including ion transitions and collision energies. Concerns were particularly paid onto pursuing the parameters being capable of monitoring -specific isomers, notably praeruptorin E 3'-isovaleryl-4'-angeloylkhellactone. The quantitative performance of the method was validated according to diverse assays. Eleven primary coumarins (-) were unambiguously identified and absolutely quantified, even though no external reference compound was used. Above all, the integrated strategy not only provides a feasible pipeline for the quality assessment of Peucedani Radix, but more importantly, shows the potential for authentic compound-free quantitative evaluation of traditional Chinese medicines.

In order to develop potent antidiabetic agents that have inhibitory effect to a-glucosidase, twelve β-acetamido ketone derivatives such as N-{[(substituted-4-oxo-thiochroman-3-yl)phenyl]-methyl}acetamide are designed and synthesized through one-pot Dakin-West reaction. Their chemical structures are confirmed by 1H NMR, 13C NMR, IR and HR-MS. In vitro α-glucosidase inhibition assays of compounds 4a-41 were carried out using glucose oxidase method. The result indicated that most of them possess inhibitory activity in vitro. Compound 4k showed the most potent inhibitory activity with 87.3% inhibition of α-glucosidase at the concentration of 5.39 mmol x L(-1). The structure-activity relationship of these β-acetamido ketone derivatives was discussed preliminarily. Moreover, the molecular docking method was used to study the interaction mode of compound 4k and α-glucosidase. Our results will be helpful for designing of α-glucosidase inhibitors in the future.

Objective To investigate the diagnostic value of MRI in the infantile developmental dislocation of the hip.Methods Forty-five cases of preoperative hip MRI data of DDH (patient group)and 40 cases of normal hip (control group)MRI data were retrospectively analyzed.Three types were classified according to the standard of Dunn.Then the bony acetabular index (BAI),cartilaginous acetabular index (CAI)were measured on coronal MRI and all the intra-articular structures (articular cartilage,labrum, teres ligament and iliopsoas)in the acetabulum that impeded the reduction of the femoral head were observed.Results There were normal hips (80 hips)and dislocated hips (73 hips).In dislocated hips typeⅠ (30 hips),typeⅡ (20 hips),and typeⅢ (23 hips) were found.The values of BAI were (26.13±2.19)°and (35.87±4.42)°,CAI (13.84±1.07)°and (21.92±4.70)°for patient group and control group.The values of BAI were (31.80±1.74)°,(37.80±3.40)°and (39.17±4.11)°,CAI (17.20±2.68)°,(20.91±2.02)°and (27.50±2.78)°for the typesⅠ,Ⅱ,Ⅲ respectively.Differences of BAI and CAI between patient group and control group were showed (t=-11.048 and -9.188,P =0.000).Statistically significants were found among the typeⅠ,Ⅱ,Ⅲ(F=22.159 and 47.241,P =0.000).There were linear correlations for patient group ,control group,and the typeⅠ,Ⅱ,Ⅲ (r= 0.964,0.844,0.953,0.931 and 0.870,P =0.000).Some pathological changes such as varus labrum,thick teres ligament,iliopsoas spasm,articular cartilage hyperplasia,fat hyperplasia,joint effusion were observed in the type Ⅱand Ⅲ.Conclusion MRI is not only used for measuring the values of BAI and CAI,and a linear correlation among all kinds of DDH,but also some factors hindering the reduction of the femoral head can be found clearly.It can provide an important reference basis for the diagnosis and treatment of DDH.