Objective:To explore the influencing factors of olfactory impairment in patients with obstructive sleep apnea（OSA） and establish a nomogram prediction model. Methods:A total of 100 OSA patients were enrolled. Snap&Sniff olfactory test was used to evaluate the olfactory identification function and olfactory threshold of the patients. According to the scoring criteria, either olfactory identification scores below 14 points or olfactory threshold scores below 3 points was defined as olfactory impairment. Multivariate logistic regression analysis was used to explore the influencing factors of olfactory impairment in OSA. The nomogram model was constructed by using the R 4.4.2 software package. ROC curve, calibration curve and decision curve were used to evaluate the predictive efficacy, consistency and clinical utility of the model. Results:A total of 55 of 100 OSA patients had olfactory impairment. The results of multivariate logistic regression analysis showed that age, ESS score, MoCA score, and apnea-hypopnea index（AHI） were the influencing factors of olfactory impairment in OSA. Based on the above parameters, a nomogram model was established. The ROC curve analysis showed that the AUC was 0.897（95%CI 0.834-0.961）, indicating that the model had good predictive ability. The calibration curve showed that the predicted probability of the model fits the actual probability well. Decision curve analysis showed that when the threshold probability was in the range of 0-0.9, the model had a high clinical net benefit rate. Conclusion:Age, ESS score, MoCA score and AHI are the influencing factors of olfactory impairment in patients with OSA. The nomogram model constructed based on the above factors has good predictive value, which is conducive to the clinical multi-angle understanding of OSA and the formulation of scientific prevention and treatment measures.
Humans ; Sleep Apnea, Obstructive/physiopathology* ; Nomograms ; Olfaction Disorders/etiology* ; Logistic Models ; Middle Aged ; Male ; Female ; ROC Curve ; Adult ; Aged

Objective To propose a precise suctioning scheme for intravenous drug dispensing based on the vial dispensing robot to enhance the quality of finished infusion.Methods Six kinds of typical representative vial drugs were selected as the research objects,including pantoprazole sodium for injection,papaverine hydrochloride for injection,cefuroxime sodium for injection,Bozhi Glycopeptide Injection,Esomeprazole Sodium for Injection and Methylprednisolone Sodium Succinate for injection.The optimal suction speed was determined by studying the relationship between the size parameters of vials and the suction speed of robot dispensing,which was used to carry out drug dispensing with the vial dispensing robot to verify whether the minimum drug residue could be obtained with the speed.The drug residue was compared with that by manual dispensing.SPSS 24.0 and Excel 2021 were applied to statistical analysis.Results The optimal suction efficiency and minimized drug residue could be got with the depth of the syringe needle hole into the rubber plug(X)less than the height of the rubber plug(H)and the optimal suction speed(Vs)of 7.48 mm/s;the suction efficiency could be ensured without air drawn in when X not less than H and Vs ranging from 10.64 to 39.31 mm/s.The mean values of the drug residue by the robot were all lower than those by manual dispensing,with the differences being statistically significant(P<0.05).Conclusion The proposed scheme can be used for optimizing the parameters of the vial vial dispensing robot to obtain infusion solution with high stability and reliability,which promotes standardization and normalization of intravenous infusion dispensing process.[Chinese Medical Equipment Journal,2025,46(9):45-51]

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To propose a precise suctioning scheme for intravenous drug dispensing based on the vial dispensing robot to enhance the quality of finished infusion.Methods Six kinds of typical representative vial drugs were selected as the research objects,including pantoprazole sodium for injection,papaverine hydrochloride for injection,cefuroxime sodium for injection,Bozhi Glycopeptide Injection,Esomeprazole Sodium for Injection and Methylprednisolone Sodium Succinate for injection.The optimal suction speed was determined by studying the relationship between the size parameters of vials and the suction speed of robot dispensing,which was used to carry out drug dispensing with the vial dispensing robot to verify whether the minimum drug residue could be obtained with the speed.The drug residue was compared with that by manual dispensing.SPSS 24.0 and Excel 2021 were applied to statistical analysis.Results The optimal suction efficiency and minimized drug residue could be got with the depth of the syringe needle hole into the rubber plug(X)less than the height of the rubber plug(H)and the optimal suction speed(Vs)of 7.48 mm/s;the suction efficiency could be ensured without air drawn in when X not less than H and Vs ranging from 10.64 to 39.31 mm/s.The mean values of the drug residue by the robot were all lower than those by manual dispensing,with the differences being statistically significant(P<0.05).Conclusion The proposed scheme can be used for optimizing the parameters of the vial vial dispensing robot to obtain infusion solution with high stability and reliability,which promotes standardization and normalization of intravenous infusion dispensing process.[Chinese Medical Equipment Journal,2025,46(9):45-51]

Formaldehyde is a prevalent organic solvent in industrial and indoor environment,which can seriously harm human health,so it is of great significance to develop highly sensitive formaldehyde sensors with fast response,low detection limit and long life.In this study,the NiO-In2O3 composite structure was prepared using indium-based metal organic framework(In-MOF)as the precursor,and the formaldehyde gas sensor was constructed with In2O3 and NiO-In2O3 composite structure as the sensitive material.The results demonstrated that the In2O3 material had a microflower-like structure,while the NiO-In2O3 composite structure was composed of NiO nanoparticles attached to the surface of In2O3.The sensor exhibited excellent detection performance for formaldehyde in the environment of relative humidity of 33%and 75%,especially the response characteristic of the NiO-In2O3 composite structure sensor to formaldehyde was considerably better than that of the In2O3 sensor under the same test conditions,which was closely related to the catalytic effect of NiO and the heterogeneous structure formed between NiO and In2O3.The NiO-In2O3 composite structure sensor had a response value of 21.3 and 12.6 to 10 μL/L formaldehyde when the relative humidity was 33%and 75%at 200℃.The response/recovery time was 4/6 s and 7/10 s,and the limit of detection(LOD)was 1.2×10-7 μL/L and 4.1×10-5 μL/L respectively.Meanwhile,the sensor had excellent selectivity and long-term stability.This sensor showed a wide application prospect in the field of high-performance detection of low concentration of formaldehyde gas.

Deep vein thrombosis(DVT)is a common complication after surgery for lower limb fracture.It has the features of high morbidity,high disability rate and high mortality.At present,the measures for clinical prevention and treatment of post-operative DVT in lower limb fracture mainly include perioperative nursing,intervention with medical auxiliary instruments,western medicine prevention and treatment,traditional Chinese medicine(TCM)intervention,and patients'self-cooperation.The patients'self-cooperation is the basis for the smooth implementation of other measures for prevention and treatment,and the patients'active cooperation is the premise of achieving the efficacy of prevention and treatment.Perioperative nursing is helpful for the patients to understand the risk factors of postoperative DVT and the possible risks after the occurrence of DVT,guides the patients to choose the food,assists the patients to do postoperative exercises,improves the level of patients'hemorheological indexes,and reduce the incidence of postoperative DVT.Medical devices are helpful for assisting patients to do postoperative rehabilitation exercises,improving the levels of hemodynamic indicators,promoting patients'rehabilitation and reducing the incidence of postoperative DVT.Western medicines such as low molecular weight heparin,Rivaroxaban,Enoxaparin and other anticoagulant drugs can reduce the aggregation of coagulation factors and blood viscosity,and reduce the incidence of postoperative DVT.TCM interventions mainly include oral administration of Chinese medicine and external treatment such as acupuncture,moxibustion and massage.Oral administration of Chinese medicine is helpful for improving blood flow status.Acupuncture,moxibustion and massage are beneficial to the activation of the function of zang-fu organs,and can stimulate the healthy qi to improve the qi-blood state of the whole body.Each method of prevention and treatment has its advantages and disadvantages.In clinical application,reasonable prevention and treatment methods should be selected according to the specific conditions and individual conditions of the patients.TCM intervention of DVT can be performed in patients with lower limb fracture before and after surgery,and has the advantages of low cost and definite efficacy,which is worthy of continuous research and inheritance and innovation.

Background and purpose:In 2016 the National Cancer Institute(NCI)decided stopping to use NCI-60 cell lines for drug screening,suggesting that tumor cell lines were losing their value as a tool for drug discovery and basic research.The reason for NCI-60 cells'retirement'was that the preclinical studies based on traditional cellular and animal models did not obtain the corresponding expected efficacy in clinical trials.Since the major cancer behaviors,such as proliferation and metastasis,are fundamentally altered with long-term culture,the tumor cell lines are not representative of the characteristics of cancer in patients.Currently,scientists hope to create a new cancer model that are derived from fresh patient samples and tagged with details about their clinical past.Our purpose was to create patient-derived breast cancer primary cell lines as new cancer model for drug screening and basic research.Methods:Breast cancer tissues were collected in the Department of Breast Surgery,Affiliated Hospital of Guizhou Medical University.The collection of tumor tissue samples was approved by the Ethics Committee of the Affiliated Hospital of Guizhou Medical University(approval number:2022 ethics No.313),and the collection and use of tumor tissues complied with the Declaration of Helsinki.The primary breast cancer cell lines were isolated from the patient's breast cancer tissues and cultured in BCMI medium.After the cells proliferated,the media were replaced with DEME medium.Cell line STR genotyping was done to determine cell-specific genetic markers and identification.Clone formation assay and transplantation assay were done to analyze the ability of breast cancer primary cell lines to form tumors.Results:We created 6 primary breast cancer cell lines.The 6 primary breast cancer cell lines from the patients were tagged with the definitively clinicopathological features,clinical diagnosis,therapeutic regimens,clinical effectiveness and prognostic outcomes.The STR genotyping assays identified the genetic markers and determined the identities of the 6 primary breast cancer cell lines.Clone formation assays and transplantation assay showed that the proliferative capacities of the patient-derived primary breast cancer cell lines were significantly greater compared with the conventional breast cancer cell lines.Conclusion:We created a panel of 6 patient-derived primary breast cancer cell lines as new cancer model for drug screening and basic research in breast cancer.

Objective: To examine the prevalence and frequencies of human papillomavirus (HPV) genotypes in cervical adenocarcinoma in situ (AIS). Methods: The cases of cervical AIS with concurrent tests of cytology and HPV typing from January 2007 to February 2020 in the Obstetrics and Gynecology Hospital of Fudan University were collected and analyzed. Results: A total of 478 cases of cervical AIS were obtained. The average age of the patients was 39.4 years (range, 19-81 years). The largest age group was 30-39 years (44.8%), followed by 40-49 years (34.7%). Among the 478 patients, 355 underwent high-risk HPV (hrHPV) testing and had a hrHPV-positive rate of 93.8%. Of the 355 patients, 277 also underwent HPV typing and were mostly positive for either or both HPV16 and HPV18 (93.1%), with 55.6% positive for HPV18 and 48.7% positive for HPV16. Among the 478 cases, 266 cases (55.6%) were diagnosed with both AIS and squamous intraepithelial lesion (SIL), while 212 cases (44.4%) were diagnosed with only AIS. Patients infected with HPV16 in the AIS and SIL group significantly outnumbered those in the AIS alone group (P<0.05). Moreover, the rate of positive cytology was 55.9% (167/299 cases), while that of negative cytology was 44.1% (132/299). Among the 109 patients with negative cytology results and co-tested hrHPV, there were 101 HPV-positive cases (92.7%), of which 88 cases were subject to HPV typing and showed an HPV16/18 positive rate of 94.3% (83/88 cases). Conclusions: The combination of HPV typing and cytological screening can maximize the detection rate of cervical AIS, and should continue to be utilized, ideally on a larger scale, in the future.
Adenocarcinoma in Situ/epidemiology* ; Adult ; Aged ; Aged, 80 and over ; Female ; Human papillomavirus 16/genetics* ; Human papillomavirus 18/genetics* ; Humans ; Middle Aged ; Papillomaviridae/genetics* ; Papillomavirus Infections/diagnosis* ; Prevalence ; Uterine Cervical Neoplasms/pathology* ; Young Adult

Objective: To investigate the relationship between body mass index (BMI) and sexual development in Chinese children. Methods: A nationwide multicenter and population-based large cross-sectional study was conducted in 13 provinces, autonomous regions and municipalities of China from January 2017 to December 2018. Data on sex, age, height, weight were collected, BMI was calculated and sexual characteristics were analyzed. The subjects were divided into four groups based on age, including ages 3-<6 years, 6-<10 years, 10-<15 years and 15-<18 years. Multiple Logistic regression models were used for evaluating the associations of BMI with sexual development in children. Dichotomous Logistic regression was used to compare the differences in the distribution of early and non-early puberty among normal weight, overweight and obese groups. Curves were drawn to analyze the relationship between the percentage of early puberty and BMI distribution in girls and boys at different Tanner stages. Results: A total of 208 179 healthy children (96 471 girls and 111 708 boys) were enrolled in this study. The OR values of B2, B3 and B4+ in overweight girls were 1.72 (95%CI: 1.56-1.89), 3.19 (95%CI: 2.86-3.57), 7.14 (95%CI: 6.33-8.05) and in obese girls were 2.05 (95%CI: 1.88-2.24), 4.98 (95%CI: 4.49-5.53), 11.21 (95%CI: 9.98-12.59), respectively; while the OR values of G2, G3, G4+ in overweight boys were 1.27 (95%CI: 1.17-1.38), 1.52 (95%CI: 1.36-1.70), 1.88 (95%CI: 1.66-2.14) and in obese boys were 1.27 (95%CI: 1.17-1.37), 1.59 (95%CI: 1.43-1.78), and 1.93 (95%CI: 1.70-2.18) (compared with normal weight Tanner 1 group,all P<0.01). Analysis in different age groups found that OR values of obese girls at B2 stage and boys at G2 stage were 2.02 (95%CI: 1.06-3.86) and 2.32 (95%CI:1.05-5.12) in preschool children aged 3-<6 years, respectively (both P<0.05). And in the age group of 6-10 years, overweight girls had a 5.45-fold risk and obese girls had a 12.54-fold risk of B3 stage compared to girls with normal BMI. Compared with normal weight children, the risk of early puberty was 2.67 times higher in overweight girls, 3.63 times higher in obese girls, and 1.22 times higher in overweight boys, 1.35 times higher in obese boys (all P<0.01). Among the children at each Tanner stages, the percentage of early puberty increased with the increase of BMI, from 5.7% (80/1 397), 16.1% (48/299), 13.8% (27/195) to 25.7% (198/769), 65.1% (209/321), 65.4% (157/240) in girls aged 8-<9, 10-<11 and 11-<12 years, and 6.6% (34/513), 18.7% (51/273), 21.6% (57/264) to 13.3% (96/722), 46.4% (140/302), 47.5% (105/221) in boys aged 9-<10, 12-<13 and 13-<14 years, respectively. Conclusions: BMI is positively correlated with sexual development in both Chinese boys and girls, and the correlation is stronger in girls. Obesity is a risk factor for precocious puberty in preschool children aged 3-<6 years, and 6-<10 years of age is a high risk period for early development in obese girls.
Adolescent ; Body Mass Index ; Child ; Child, Preschool ; China/epidemiology* ; Cross-Sectional Studies ; Female ; Humans ; Male ; Obesity/epidemiology* ; Overweight/epidemiology* ; Puberty ; Puberty, Precocious ; Sexual Development