Objective To optimize the dry granulation technology of Five-Juice Decoction granules.Methods The granule yield was used as the evaluation index to optimize the dry granulation process parameters of Five-Juice Decoction granules by Box-Behnken design-response surface design test.The granule yield,repose angle,dissolve time,humidity absorption rate and particle roundness were used as evaluation indexes,and three batches of validation tests were conducted to compare the difference between the dry granules optimized in this study and the wet extruded granules optimized in previous studies.Results The optimal technological parameters for dry granulation of Five-Juice Decoction granules were as follows:the pressure of the hydraulic system was 3.5 Mpa,the wheel speed was 5.4 r/min,the feeding speed was 7.2 r/min,and the granulation speed was 80 r/min.The technological parameters of wet granulation were as follows:the soft material was made from 90%ethanol,extruded through a 10-mesh sieve for granulation,and dried under reduced pressure at 50 °C to a moisture content of<5%.The granule yield and humidity absorption rate of dry granulation were better than those of wet extruded granules.Conclusion Dry granulation process is better than wet extrusion process of Five-Juice Decoction granules.The optimized dry granulation process is stable and feasible,which can provide a reference for industrial production.

【Objective】 To construct a prediction model of severe obstructive sleep apnea (OSA) risk in the general population by using nomogram in order to explore the independent risk factors of severe OSA and guide the early diagnosis and treatment. 【Methods】 We retrospectively enrolled patients who had been diagnosed by polysomnography and divided them into training and validation sets at the ratio of 7∶3. Patients were divided into severe OSA group and non-severe OSA group according to apnea hypopnea index (AHI)>30. Variables entering the model were identified by least absolute shrinkage and selection operator regression model (Lasso), and logistic regression (LR) method. Then, multivariable logistic regression analysis was used to establish the nomogram, and the area under the receiver operating characteristic curve (AUC) was used to evaluate the discriminative properties of the nomogram model. Finally, we conducted decision curve analysis (DCA) of nomogram model, STOP-Bang questionnaire and Berlin questionnaire to assess clinical utility. 【Results】 Through single factor and multiple factor logistic regression analyses, the independent risk factors for severe OSA were screened out, including moderate and severe sleepiness, family history of hypertension, history of smoking, drinking, snoring, history of suffocation, sedentary lifestyle, male, age, body mass index (BMI), waist and neck circumference. Lasso logistic regression identified smoke, suffocation time, snoring time, waistline, Epworth sleepiness scale (ESS) and BMI as predictive factors for inclusion in the nomogram. The AUC of the model was 0.795 [95% confidence interval (CI): 0.769-0.820] . Hosmer-Lemeshow test indicated that the model was well calibrated (χ²=3.942, P=0.862). The DCA results on the visual basis confirmed that the nomogram had superior overall net benefits within a wide, practical threshold probability range which displayed the nomogram was higher than that of STOP-Bang questionnaire and Berlin questionnaire, which is clinically useful. The Clinical Impact Curve (CIC) analysis showed the clinical effectiveness of the prediction model when the threshold probability was greater than 82% of the predicted score probability value. The prediction model determined that the high-risk population with severe OSA was highly matched with the actual population with severe OSA, which confirmed the high clinical effectiveness of the prediction model. 【Conclusion】 The model performed better than STOP-Bang questionnaire and Berlin questionnaire in predicting severe OSA and can be applied to screening. And it can be helpful to the early diagnosis and treatment of OSA in order to reduce social burden.

Humans ; Pregnancy ; Female ; Umbilical Cord/diagnostic imaging* ; Pregnancy Outcome ; Ultrasonography ; Ultrasonography, Prenatal

Objective:To explore the diagnostic value of virtual monoenergetic image (VMI) and electron density map (EDM) generated by non-contrast dual-layer spectral detector CT in acute pulmonary embolism(APE).Methods:The clinical and imaging data of 27 patients (41 lesions) who underwent CT pulmonary angiography (CTPA) using dual-layer spectral detector CT and were diagnosed with APE in the Third Affiliated Hospital of Sun Yat-sen University from October 2022 to May 2023 were retrospectively analyzed. All patients received a dual-layer spectral detector CT non-contrast scan. Based on the non-contrast scan data, conventional 120 kVp polyenergetic images (PI), virtual monoenergetic images (40, 70, 100 keV VMI), electron density maps (EDM), and effective atomic number maps (Z eff) were respectively reconstructed. Taking CTPA as the gold standard, the detection rate of APE in different reconstruction images of non-contrast scan were evaluated. The vascular lesion was used as the pulmonary embolism group and the corresponding position of the normal vessel at the same level of the diseased vessel as the control group, and the Wilcoxon rank-sum test was used to compare the differences of CT values on PI and 40, 70, and 100 keV VMI (CT PI, CT 40 keV, CT 70 keV, CT 100 keV) as well as the ED values on the EDM, and the Z eff value on the Z eff images between the 2 groups. Parameters with statistically significant differences were included in a multifactor logistic regression, resulting in the construction of a logistic regression model. Receiver operator characteristic curve and area under curve (AUC) were applied to evaluate the diagnostic efficiency of different spectral quantitative parameters and logistic regression model in identifying pulmonary embolism group from normal control group. Results:The detection rates of APE on PI, EDM, Z eff map, and EDM and Z eff map fusion images were 14.6% (6/41), 82.9% (34/41), 51.2% (21/41), and 97.6% (40/41), respectively. CT PI, ED, CT 40 keV, CT 70 keV and CT 100 keV in pulmonary embolism group were statistically higher than those in control group ( Z values were 1 009.00, 1 024.50, 1 038.00, 1 079.00 and 1 076.00, respectively, P<0.05). Finally, CT PI, CT 40 keV, and CT 100 keV were selected to construct the logistic regression model. The AUC, sensitivity, specificity, and accuracy of the logistic regression model for distinguishing the embolism group from the control group were 0.771, 0.769, 0.744, and 0.756, respectively. Conclusion:Non-contrast images of dual-layer spectral detector CT VMI and EDM have some clinical value in detecting and diagnosing APE.

Objective: To investigate the risk factors of postoperative acute kidney injury (AKI) in patients aged between 40 and 50 years old undergoing cardiac valvular surgery and the impact on outcome. Methods: The clinical data of 286 patients aged between 40 and 50 years old undergoing cardiac valve surgery in Guangdong Provincial People′s Hospital from January 2012 to December 2016 were analyzed retrospectively. Preoperative coronary angiography was performed in all patients. All patients enrolled were divided into AKI group and non-AKI group according to the existence or not of postoperative AKI. Patients with AKI were further divided into AKI stage 1, stage 2, and stage 3 groups according to KDIGO guideline. Demographic characteristics, preoperative clinical data including serum creatinine, estimated glomerular filtration rate, hemoglobin, uric acid, urinary protein, presence or absence of chronic kidney disease, left ventricular ejection fraction, pulmonary artery pressure, New York Heart Association (NYHA) functional classification, preoperative co-morbidity (hypertension, diabetes, anemia, cerebrovascular disease, peripheral artery disease), preoperative medication(vasoactive drugs, diuretic, renin-angiotensin system inhibitor (RASI), surgical data (contrast dosage in coronary angiography, type of cardiac valve surgery) were recorded and analyzed in this retrospective study. The risk factors for postoperative AKI and its impact on clinical outcomes (mortality, hospitalization expenses and Intensive Care Unit stay duration) were evaluated. Logistic regression analysis was used to determine the risk factors for postoperative AKI and the adjusted variables with P<0.2 were selected for the multivariate logistic regression analysis to define the independent determinants for AKI. Results: AKI was defined in 106 out of 286 enrolled patients, including 96 patients with AKI stage 1, 10 patients with AKI stage 2 and no patients with AKI stage 3. The proportion of coexisting cerebrovascular diseases was higher in AKI group than in non-AKI group (9(8.49%) and 5(2.78%), χ²=4.677, P=0.031), while there was no difference among other baseline data between the two groups. Multivariate logistic regression analysis showed that preoperative complications of cerebral vascular disease was an independent risk factor of postoperative AKI (OR=3.578, 95%CI 1.139-11.242, P=0.029). Five out of 106 AKI patients died during hospitalization while there was only 1 patient died among 180 patients without AKI. Patients with AKI after cardiac valve operation experienced higher mortality than patients without AKI (χ²=5.625, P=0.028). Further analysis showed that there was no difference in hospitalization mortality between patients with AKI stage 2 and stage (χ²=0.686, P=0.408) while the hospitalization mortality in patients with AKI stage 2 was higher than those without AKI (χ²=8.113, P=0.004). The hospitalization expenses in patients with AKI were 10.38(8.59,12.54) ×10⁴ RMB, significantly higher than that in patients without AKI (9.72(8.03,11.93) ×10⁴ RMB)(P=0.043). There was no difference in hospitalization expenses between patients with AKI stage 1 and without AKI (P=0.635). The hospitalization expenses in patients with AKI stage 2 was higher than those without AKI (P=0.023). Intensive Care Unit stay duration in patients with AKI was 3(1,4) days, significantly higher than those without AKI (P=0.044). There was no difference in Intensive Care Unit stay duration in patients with AKI stage 1 and without AKI (P=0.978), while Intensive Care Unit stay duration in patients with AKI stage 2 was significantly longer than those without AKI (P=0.006). Conclusions Preoperative complications of cerebral vascular disease is an independent risk factor of postoperative AKI. Non-senile patients with AKI after cardiac valvular surgery is associated with a higher proportion of mortality, hospitalization expenses and Intensive Care Unit stay duration as compared patients without postoperative AKI.

OBJECTIVE: To investigate the effect and mechanism of bactericidal/permeability-increasing protein (BPI) on sepsis induced by intra-abdominal infection in rats. METHODS: Cecal ligation and puncture (CLP) was made on 20 rats with sepsis induced by intra-abdominal infection. BPI or equal volume of physiological saline (PS) was intra-abdominally given immediately and 12 h after CLP, respectively (2.5 mg/kg of BPI each time). Plasma endotoxin levels were determined with limulus amebocyte chromogenic assay. RESULTS: (1) The survival time in BPI group was significantly higher than that in PS group. (2) The values of the mean arterial pressure (MAP), the left ventricular systolic pressure (LVSP), the isovolumic ventricular pressure (IP), and the maximal change of left intraventricular pressure (+/-dp/dtmax) in BPI group, although decreasing, were markedly higher than those in PS group. (3) Plasma glutamic-pyruvic transaminase (GPT) and urea nitrogen levels in BPI group, though increasing, were obviously lower than those in PS group. (4) There was no significant change of plasma endotoxin levels in BPI group, while plasma endotoxin levels markedly increased in PS group. CONCLUSIONS: BPI has obvious protective effect on sepsis induced by intra-abdominal infection, which might be related to its neutralization of endotoxin.

Objective: To determinate the content of bufalin,resibufogenin and cinobufagin in Cinobufacini Injection. Methods: Liposoluble components in cinobufacini were extracted with ethyl acetate and determined by HPLC using a C 18 column, acetonitrile water(50∶50) as a mobile phase and UV detection wavelength at 299nm. Results: The method showed the good resolution, high sensitivity, satisfactory accuracy and specificity. Quantitatively analyze results showed that the concentration of bufalin, cinobufagin and resibufogenin in Cinobufacini Injection were 0.333 ?g?mL -1 , 0.159?g?mL -1 and 0.110?g?mL -1 , respectively. Conclusion: Bufalin in Cinobufacini Injection reached effective concentration, which was regarded as one of anti cancer components.

AIM:To investigate the protective effect of bactericidal/permeability-increasing protein (BPI) on sepsis induced by intra-abdominal infection in rats and its mechanism.METHODS:Intra-abdominal infection induced sepsis was reproduced by cecal ligation and puncture (CLP). BPI or equal volume of physiological saline was intra-abdominally given immediately after CLP and 12 hours after CLP respectively (2.5 mg/kg of BPI each time). Plasma endotoxin levels were determined with limulus amebocyte chromogenic assay.RESULTS:(1)The survival time in BPI group was significantly higher than in physiological saline (PS) group. (2)The values of MAP, LVSP, IP, d p /d t max and -d p /d t max in BPI group, although decreasing ,were markedly higher than those in PS group. (3) Plasma glutamate-pyruvate transaminase and urea nitrogen levels in BPI group, though increasing, were significantly lower than those in PS group.(4) There was no significant change of plasma endotoxin levels in BPI group, while plasma endotoxin levels were markedly increased in PS group. There was significantly different between two groups. CONCLUSIONS:BPI has an obvious protective effect on intra-abdominal infection induced sepsis, which might be related to its antagonism against endotoxin.