Objective:To retrospectively analyze the results of second-trimester serological prenatal screening and explore the factors which may influence the false-positive rate (FPR).Methods:From January 2013 to December 2022, false-positive samples with follow-up outcomes from 632, 825 second-trimester serological prenatal screening samples tested at Sichuan Provincial Maternity and Child Health Care Hospital were selected as the study group, while true-negative samples were 1 : 1 matched as the control group by propensity-score matching (PSM). Univariate and Multivariate Logistic Regression Models were used to analyze the influencing factors. The study has approved by the Medical Ethics Committee of the Sichuan Provincial Maternity and Child Health Care Hospital (Ethic No.20240607-270).Results:The study and control groups were each matched with 305, 998 cases. Univariate analysis showed that sampling season, the difference between ultrasound and gestational weeks calculated by last menstrual period (LMP), monthly median multiple of the median (mMoM) of alpha-fetoprotein (AFP), and monthly mMoM of free β-human chorionic gonadotropin (free β-hCG) were significantly different between the two groups ( P<0.05). Multivariate Logistic Regression analysis showed that winter ( OR=0.938; 95% CI: 0.893~0.985), monthly AFP mMoM ≥ 1.11 ( OR=0.846; 95% CI: 0.761~0.941), monthly free β-hCG mMoM ≤ 0.89 ( OR=0.827; 95% CI: 0.737~0.929) are protective factors for FPR increase, whilst spring ( OR=1.124; 95% CI: 1.072~1.179), summer ( OR=1.121; 95% CI: 1.062~1.183), the difference between ultrasound and gestational weeks calculated by LMP of 8~14 days ( OR=1.319; 95% CI: 1.241~1.402), > 14 days ( OR=1.689; 95% CI: 1.542~1.850), monthly AFP mMoM of 0.90~0.94 ( OR=1.088; 95% CI: 1.046~1.131), and monthly free β-hCG mMoM of 1.05~1.10 ( OR=1.046; 95% CI: 1.000~1.094), ≥ 1.11 ( OR=1.062; 95% CI: 1.002~1.126) are risk factors for FPR increase. Conclusion:Sampling season, difference between ultrasound and gestational weeks by LMP, monthly AFP mMoM, and monthly free β-hCG mMoM are risk factors for FPR during serological prenatal screening. Screening laboratories should look for the cause of abnormal FPR through such factors and adjust them accordingly.

OBJECTIVE: To retrospectively analyze the results of second-trimester serological prenatal screening and explore the factors which may influence the false-positive rate (FPR). METHODS: From January 2013 to December 2022, false-positive samples with follow-up outcomes from 632,825 second-trimester serological prenatal screening samples tested at Sichuan Provincial Maternity and Child Health Care Hospital were selected as the study group, while true-negative samples were 1 : 1 matched as the control group by propensity-score matching (PSM). Univariate and binary logistic regression models were used to analyze the influencing factors. This study was approved by the Medical Ethic Committee of Sichuan Provincial Maternity and Child Health Care Hospital (Ethic No. 20240607-270). RESULTS: The study and control groups were each matched with 305,998 cases. Univariate analysis showed that sampling season, the difference between ultrasound and gestational weeks calculated by last menstrual period (LMP), monthly median multiple of the median (mMoM) of alpha-fetoprotein (AFP), and monthly mMoM of free β -human chorionic gonadotropin (free β -hCG) were significantly different between the two groups (P < 0.05). Binary logistic regression analysis showed that Winter (OR = 0.938; 95%CI: 0.893 ~ 0.985), monthly AFP mMoM ≥ 1.11 (OR = 0.846; 95%CI: 0.761 ~ 0.941), monthly free β -hCG mMoM ≥ 0.89 (OR = 0.827; 95%CI: 0.737 ~ 0.929) are protective factors for FPR increase, whilst Spring (OR = 1.124; 95%CI: 1.072 ~ 1.179), Summer (OR = 1.121; 95%CI: 1.062 ~ 1.183), the difference between ultrasound and gestational weeks calculated by LMP of 8 ~ 14 days (OR = 1.319; 95%CI: 1.241 ~ 1.402), < 14 days (OR = 1.689; 95%CI: 1.542 ~ 1.850), monthly AFP mMoM of 0.90 ~ 0.94 (OR = 1.088; 95%CI: 1.046 ~ 1.131), and monthly free β -hCG mMoM of 1.05 ~ 1.10 (OR = 1.046; 95%CI: 1.000 ~ 1.094), ≥ 1.11 (OR = 1.062; 95%CI: 1.002 ~ 1.126) are risk factors for FPR increase. CONCLUSION Sampling season, difference between ultrasound and gestational weeks by LMP, monthly AFP mMoM, and monthly free β -hCG mMoM are risk factors for FPR during serological prenatal screening. Screening laboratories should look for the cause of abnormal FPR through such factors and adjust them accordingly.
Humans ; Female ; Pregnancy ; Propensity Score ; Pregnancy Trimester, Second/blood* ; Retrospective Studies ; China ; False Positive Reactions ; Adult ; Prenatal Diagnosis/methods* ; alpha-Fetoproteins/analysis* ; Logistic Models ; Chorionic Gonadotropin, beta Subunit, Human/blood*

Drug therapy is a common method to cure diseases and relieve symptoms.The value of patient-reported outcome(PRO)in evaluating the effect of drug therapy has been increasingly paid attention.The PRO scale is a standardized questionnaire,which can scientifically evaluate the experiences and subjective effects of drug use from a patient-centered perspective,and help patients and clinicians make more reasonable medication decisions.By reviewing and sorting out relevant global literature,this paper found that the content of the PRO scales relevant to drug therapy focused on five fields:"medication satisfaction""medication adherence""drug treatment burden""medication-related quality of life"and"adverse drug reactions".This paper described the basic information,measurement characteristics and application of common scales in recent years respectively,and summarized and analyzed the problems and enlightenment of scale development,aiming to provide theoretical reference for the selection,application and development of PRO scales.

Objective:To retrospectively analyze the results of second-trimester serological prenatal screening and explore the factors which may influence the false-positive rate (FPR).Methods:From January 2013 to December 2022, false-positive samples with follow-up outcomes from 632, 825 second-trimester serological prenatal screening samples tested at Sichuan Provincial Maternity and Child Health Care Hospital were selected as the study group, while true-negative samples were 1 : 1 matched as the control group by propensity-score matching (PSM). Univariate and Multivariate Logistic Regression Models were used to analyze the influencing factors. The study has approved by the Medical Ethics Committee of the Sichuan Provincial Maternity and Child Health Care Hospital (Ethic No.20240607-270).Results:The study and control groups were each matched with 305, 998 cases. Univariate analysis showed that sampling season, the difference between ultrasound and gestational weeks calculated by last menstrual period (LMP), monthly median multiple of the median (mMoM) of alpha-fetoprotein (AFP), and monthly mMoM of free β-human chorionic gonadotropin (free β-hCG) were significantly different between the two groups ( P<0.05). Multivariate Logistic Regression analysis showed that winter ( OR=0.938; 95% CI: 0.893~0.985), monthly AFP mMoM ≥ 1.11 ( OR=0.846; 95% CI: 0.761~0.941), monthly free β-hCG mMoM ≤ 0.89 ( OR=0.827; 95% CI: 0.737~0.929) are protective factors for FPR increase, whilst spring ( OR=1.124; 95% CI: 1.072~1.179), summer ( OR=1.121; 95% CI: 1.062~1.183), the difference between ultrasound and gestational weeks calculated by LMP of 8~14 days ( OR=1.319; 95% CI: 1.241~1.402), > 14 days ( OR=1.689; 95% CI: 1.542~1.850), monthly AFP mMoM of 0.90~0.94 ( OR=1.088; 95% CI: 1.046~1.131), and monthly free β-hCG mMoM of 1.05~1.10 ( OR=1.046; 95% CI: 1.000~1.094), ≥ 1.11 ( OR=1.062; 95% CI: 1.002~1.126) are risk factors for FPR increase. Conclusion:Sampling season, difference between ultrasound and gestational weeks by LMP, monthly AFP mMoM, and monthly free β-hCG mMoM are risk factors for FPR during serological prenatal screening. Screening laboratories should look for the cause of abnormal FPR through such factors and adjust them accordingly.

Pharmacy services in grassroots medical institutions provide professional pharmacy services for patients. This service not only expanded the scope of primary care delivery, but also meets the residents′need for appropriate medication. At present, the majority of grassroots medical institutions in China provide outpatient pharmacy services by means of pharmacy service alliance, and foreign grassroots medical institutions mainly provide pharmaceutical outpatient services with drug treatment management as the core for patients by granting pharmacists partial prescription rights.In recent years, pharmaceutical outpatient services in grassroots medical institutions had achieved good results in improving patient clinical outcomes, enhancing medication rationality, and enhancing patient compliance. However, there were many unresolved issues, including low public awareness, shortage of pharmaceutical talents, and imperfect guarantee systems. The author suggestted that efforts should be made to increase the publicity of pharmaceutical outpatient services, improve the training mechanism for pharmacists, strengthen cooperation between pharmacists and clinical physicians, include pharmacists in the contracted service team of family doctors, and improve various guarantee systems, in order to provide reference for promoting the sustainable development of pharmaceutical outpatient services in grassroots medical institutions in China.

Objective:To analyze the influence of magnetic field on the proton beam delivery and dose distribution, and develop a correction method for the Bragg peak (BP) shift under the vertical magnetic field, providing reference for the dose calculation and beam delivery of MRI-guided proton therapy.Methods:Monte Carlo (MC) simulation was used to study the dose distribution of the proton beam in the water phantom under the magnetic field. The BP location was corrected by the method of" angle correction+ energy correction" , and the correction parameters were calculated by the analytical formula based on the simulation data.Results:The magnetic field caused the dose distortion and shift of BP location. The shift degree was increased with the increase of field strength and initial energy. Compared with MC simulation, the result of calculating proton deflection in the air by the analytical method yielded a deviation within 0.2%. Based on the simulation data and calculation formulas, the correction parameters under different conditions could be calculated within 1 s by using the MATLAB programming. The calculation results showed that the air layer with magnetic field, isocenter depth, irradiation direction exerted different influence on the correction parameters. After correction, the BP location was basically consistent with the expected (offset ≤0.2 mm).Conclusions:The BP shift under the vertical magnetic field can be effectively corrected by " the angle correction+ energy correction" method. The correction parameters under different conditions can be quickly and accurately calculated by the calculation formulas based on simulation data.

Objective:To develop and validate the accuracy of an independent dose calculation toolkit for the horizontal beamline of Shanghai Advanced Proton Therapy (SAPT) facility based on an open-source dose calculation engine.Methods:Machine data, such as absolute integral depth doses (IDDs) and lateral profiles in air were measured and lateral profiles in water were derived by Monte-Carlo simulations. The dose computation models for SAPT horizontal beamline pencil beams in water were achieved by combining machine data and dose calculation engine. The verification of the dose reconstruction toolkit included absolute dose verification and relative dose verification. The absolute dose verification is performed to mainly compare the reconstructed value and the measured value at different depths along the center axis of the beam direction of a cube plan. The relative dose verification is conducted to mainly compare the lateral profile or two-dimensional dose distribution between the measured value and the reconstructed value. Meanwhile, the precision of double-gaussian and single-gaussian lateral beam models was compared.Results:The deviations of the absolute dose between the calculated and measured values were basically within 2%. The deviations of 20%-80% penumbra between the measured and the calculated values were within 1 mm, and deviations of the full width at half height were within 2 mm. For 3 cube plans and 2 clinical cases, the two-dimensional gamma pass rates (3 mm/3%) between the measured and calculated dose distributions at the corresponding depths were greater than 95%. The double-gaussian lateral beam model was more accurate in the high dose gradient region and deeper depth.Conclusion:The precision of independent dose calculation toolkit is acceptable for clinical requirements, which can be employed to investigate other dose-related issues.

Objective:To study preoperative MRI imaging and its enhanced mode on tumor features in predicting microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).Methods:The clinical data of patients with a solitary HCC who underwent MRI examination followed by surgical resection at the General Hospital of Ningxia Medical University from January 2017 to June 2019 were studied. The patients were divided into the MVI (+ ) and MVI (-) groups according to the findings on postoperative pathological diagnosis. The relationship between the rates of MVI and MRI tumor features including diffusion weighted imaging (DWI) signal, enhancement mode, enhancement type and other imaging characteristics were analysed.Results:Of 84 patients with HCC enrolled into this study, there were 65 males and 19 females. Their age (Mean±SD) was (54.94±11.51) years. MVI (+ ) was found in 46 patients and MVI (-) in 38 patients. The maximum tumor diameters (Mean±SD) of the two groups were (7.08±3.45) cm and (4.28±2.47) cm ( P<0.01). Single-factor analysis and comparison of imaging characteristics of the two groups of patients showed tumor DWI signal, tumor encapsulation, enhancement mode, tumor edge smoothness, abnormal enhancement around tumors, and intratumoral arteries were significantly different ( P<0.05); There were no significant differences in T 1WI signals, T 2WI signals, tumor periphery, and enhancement types between groups. After inputting MVI(+ ) as a risk factor into the logistic regression model, tumor maximum diameters >6.33 cm, type 3/4 enhancement mode, and unsmoothness of tumor edge were independent risk factors (all P<0.05). Through combined diagnosis using ROC curve analysis with a cut-off value of 0.53, the area under the curve was 0.881, the sensitivity 0.870, specificity 0.789, and the Youden index 0.659. Conclusion:The multivariate logistic regression model and combined diagnosis using ROC curve analysis improved the diagnostic efficacy of MVI in its prediction of HCC on imaging studies. The risk predictors were easy to use and to promote in clinical practice.

Objective:To explore the value of clinical data and MRI image features in predicting and analyzing the degree of differentiation of hepatocellular carcinoma (HCC).Methods:The clinical and imaging data of 180 patients with surgical outcomes of HCC from March 2015 to June 2019 in the General Hospital of Ningxia Medical University were retrospectively analyzed. Alpha-fetoprotein (AFP)、aspartate aminotransferase (AST)、D-dimer、clinical stage、tumor length、apparent diffusion coefficient(ADC)、enhancement types and so on the clinical and imaging data of the poorly differentiated and non-differentiated HCC were compared and analyzed. Multivariate logistic regression was used to predict independent risk factors for poorly differentiated HCC.Results:Of the 180 HCC patients, 121 were moderately and highly differentiated, and 59 were poorly differentiated. Univariate analysis showed that the patient’s age, gender, AFP, AST, D-dimer level, clinical stage, Child-Pugh score, tumor length, whether the capsule was complete, tumor apparent diffusion coefficient, the maximum level ADC value, enhancement type with HCC differentiation degree were correlated(all P<0.05). Multivariate logistic regression analysis showed that the patients' gender ( OR=4.524, P<0.05), clinical stage ( OR=5.598, P<0.05), D-dimer ( OR=8.576, P<0.05), HCC diameter ( OR=0.498, P<0.05), enhancement types ( OR=2.988, P<0.05), tumour ADC value ( OR=0.059, P<0.05) were independent of poorly differentiated HCC risk factor. Conclusion:MRI image features can be used as an effective indicator to predict the degree of HCC differentiation before surgery. It is more valuable to accurately predict the degree of HCC combined with D-dimer and AFP value.

Objective:To analyze the imaging features of spontaneous rupture of primary liver cancer (PLC) and to study the high-risk factors associated with tumor rupture.Methods:From September 2016 to August 2020, 81 patients who developed spontaneous rupture of PLC at the General Hospital of Ningxia Medical University were included into this study. A control group of 81 patients with tumors located on the periphery of the liver but without rupture treated in the same period were selected by matching the two groups with age, sex and BCLC staging. The clinical data and CT imaging characteristics including tumor location, extent, size, and morphology of the two groups of patients were compared retrospectively between groups.Multivariate logistics regression was used to analyze.Results:A total of 81 patients were included in the case group, including 72 males and 9 females, aged (53.69±10.34) years. The control group included 81 patients, 64 males and 17 females, aged (54.78±9.04) years. The main risk factors for spontaneous rupture of PLC included in this study were cirrhosis, tumor close to diaphragm, biolobar distribution, portal vein obstruction, tumor diameter >10 cm, invasion of liver capsule (arc-to-chord ratio>1) and tumor protrusion ≥25% ( P<0.05). Logistic regression analysis showed that cirrhosis ( OR=2.796, 95% CI: 1.721-10.834), portal vein obstruction ( OR=3.586, 95% CI: 1.272-10.107) and tumor protrusion (≥25%) ( OR=2.831, 95% CI: 1.668-22.210) were independent predictive factors of spontaneous rupture of PLC. Conclusion:Tumor protrusion≥25%, cirrhosis and portal vein obstruction were closely related to spontaneous rupture of PLC. They were independent risk factors in predicting rupture of primary liver cancer.