Objective To construct and validate a risk prediction model for poor inhalation in chronic obstructive pulmonary disease(COPD)patients receiving inhaler therapy,providing a decision support tool for personalized prevention of poor inhalation.Methods A cross-sectional study was conducted to collect data related to COPD patients receiving inhaler therapy,forming a dataset.The dataset was randomly divided into a training set and a test set in a ratio of 4∶1.Four different methods for missing value imputation,3 methods for variable feature selection,and 18 machine learning algorithms were employed to successfully construct 216 models on the training set.The monte carlo simulation method was used for resampling in the test set to validate the models,with the area under curve(AUC),accuracy,precision,recall,and F1 score used to evaluate model performance.The optimal model was selected to build the poor inhalation prediction platform.Results A study involving 308 patients with COPD found that 135(43.8%)were at risk of adverse inhalation.Using 33 predictor variables,216 risk prediction models were developed.Of these models,the ensemble learning algorithm yielded the highest average AUC of 0.844,with a standard deviation of 0.058[95%CI=(0.843,0.845)].The differences in predictive performance among the 216 models were statistically significant(P＜0.01).Under the ensemble learning algorithm,adherence to inhaler use(38.087 4%),inhaler satisfaction(25.680 1%),literacy(24.031 3%),number of inhalers(5.482 3%),age(4.204 5%)and number of acute exacerbations in the past year(2.184 7%)contributed most to the predictive model.The model exhibited superior performance,with an AUC of 0.869 3,an accuracy of 83.87%,a precision of 86.96%,a recall of 74.07%,and an F1 score of 0.8.Conclusion This study has developed a predictive model for poor inhalation risk in COPD inhaler therapy patients using machine learning algorithms,which exhibits strong predictive capabilities and holds potential clinical application value.

Objective To propose strategies for developing clinical predictive models,aiming to assist researchers in conducting standardized clinical prediction model studies.Methods Literature review was conducted to summarize the operational steps and content for developing clinical predictive models.Then,a methodological framework was summarized and refined through expert consultation.Results The 11-step methodological framework for developing clinical predictive models was obtained by synthesizing the experience of 456 clinical predictive modeling studies and expert consultation,and the details were analyzed and elaborated.Conclusions This study presents methodological strategies and recommendations for the development of clinical predictive models,intended to serve as a guide for researchers.

In order to understand the prevalence of Akabane disease(AKAD)in Guizhou Province and the molecular characteristics of the isolates,the whole-genome sequence of a strain of Akabane virus(AKAV)from a bovine AKAD-positive sample was determined and analyzed.The genotype and genetic variation of the strain were also explored.Based on the conserved S sequence,a fluores-cence quantitative PCR(qPCR)detection method was established and applied for the investigation of AKAV infection status in four large-scale beef cattle farms of Guizhou.Results showed that the S,M and L fragments of the bovine strain were highly homologous to the Tianjin strain(TJ2016/China/2016)and the Australian strain(JaLAB39/Australia/1959),where they were in the same evolutionary branch and belonged to genotype Ⅱ.Sensitivity assay found that the lowest detection limit was 2.5 X 101 copies/μL.Specificity assay showed the established method detected only AKAV with no amplification on bovine bluetongue virus(BLUV),Pasteurella multocida(PM),bovine infectious rhinotracheitis virus(IBRV)and bovine Mycoplasma bovis.The variation coefficients of inter-and intra batches in the repeatability test were both lower than 2.26％.These findings illus-trated that the established qPCR method had high sensitivity,good specificity and repeatability.A total of 298 serum samples from 4 large-scale beef cattle farms in Qianxi City and Huangping County of Guizhou Province were collected and tested for AKAV by the method.Out of 298 sam-ples,25 positive samples(25/298)were detected as positive with a positive rate of 8.39％.In sum-mary,this work provided the reference data for a deep understanding of the molecular prevalence of AKAV in Guizhou Province and laid foundation for the prevention and control of AKAD.

Objective: Using computer-assisted navigation technology to guide the resection and reconstruction of mandibular ameloblastoma, evaluating its treatment effect. Methods : Twelve patients were selected from the Affiliated Stomatological Hospital of Nanjing University from January 2017 to May 2022. All 12 patients accepted same surgery which included resection of mandibular ameloblastoma and reconstruction by fibula musculocutaneous flap. Among them, 6 cases were included in the navigation group; 6 cases were in the non-navigation group. Advantages and disadvantages of computer-assisted navigation technology in this operation were evaluated with these cases. Results: The 12 operations were performed by the same operator. The average time for fixing the navigation bracket and performing navigation in the navigation group was about 15 minutes. Compared with the non-navigation group, the average operation time in the navigation group was shortened by about 10 minutes. In the navigation group, the mandible resection range matched the fibula musculocutaneous flap well, and the occlusal relationship recovered well. Conclusion Using the mandibular reference frame, under the guidance of computer-assisted navigation technology, the resection and reconstruction of mandibular ameloblastoma can be performed quickly and accurately.

Objective To investigate the changes of macrophage polarization during acute rejection (AR) after intestinal transplantation. Methods Six Brown Norway (BN) rats and 24 Lewis rats were divided into the sham operation group (6 Lewis rats), syngeneic transplantation group (Lewis→Lewis, 6 donors and 6 recipients) and allogeneic transplantation group (BN→Lewis, 6 donors and 6 recipients). At postoperative 7 d, the intestinal graft tissues in all groups were collected for hematoxylin-eosin (HE) staining and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) assay. Pathological manifestations and cell apoptosis were observed. The expression levels of serum cytokines related to M1 and M2 macrophage polarization were determined by enzyme-linked immunosorbent assay (ELISA). Surface markers of M1 and M2 macrophages of intestinal graft tissues in each group were co-localized and counted by immunofluorescence staining. Results HE staining and TUNEL assay showed that the intestinal epithelial morphology and structure were normal and no evident apoptotic bodies were found in the sham operation and syngeneic transplantation groups. At 7 d after transplantation, the epithelial villi structure of intestinal graft tissues was severely damaged, the number of crypts was decreased, the number of apoptotic bodies was increased, and inflammatory cells infiltrated into the whole intestinal wall, manifested with moderate to severe AR in the allogeneic transplantation group. ELISA revealed that the expression levels of serum cytokines related to M1 macrophage polarization, such as tumor necrosis factor (TNF)-α, interferon (IFN)-γ and interleukin (IL)-12, of the recipient rats in the allogeneic transplantation group were higher than those in the sham operation and syngeneic transplantation groups. The expression levels of serum cytokines related to M2 macrophage polarization, such as IL-10 and transforming growth factor (TGF)-β, in the syngeneic transplantation group were higher compared with those in the sham operation and allogeneic transplantation group, and the differences were statistically significant (all P<0.05). Immunofluorescence staining showed that the number of M1 macrophages in the allogeneic transplantation group was higher than those in the sham operation and syngeneic transplantation groups, and the number of M2 macrophages in the syngeneic transplantation group was higher than those in the sham operation and allogeneic transplantation groups, and the differences were statistically significant (all P<0.05). Conclusions Among the allografts with AR after intestinal transplantation, a large number of macrophages, mainly M1 macrophages secreting a large number of pro-inflammatory cytokines, infiltrate into the whole intestinal wall. Regulating the direction of macrophage polarization is a potential treatment for AR after intestinal transplantation.

Objective:To investigate clinical and imaging parameters to predict blood loss and cranial nerve injury (CNI) following carotid body paraganglioma (CBP) resection.Methods:A retrospective examination of clinical and imaging data was conducted on 63 patients who underwent CBP resection at Xiangya Hospital of Central South University from January 2016 to December 2022, including 23 males and 40 females, aged 26-87 years old. Three imaging parameters including tumor volume, the angle of contact with the internal carotid artery (ICA), and the distance to the base of skull (DTBOS) were gauged using the IMEDPACS software on CTA and MR imaging. The predictive efficacies of age, gender, Shamblin classification, and three imaging parameters for blood loss and CNI following surgery were analysed. Logistic composite parameter models were constructed and their predictive validity was assessed.Results:Multivariate logistic regression analysis underscored that only tumor volume ( OR=1.381,95% CI:1.167-1.507, P=0.001) showed significant statistical correlations with blood loss following surgery. Area under curve (AUC) values of 0.910 for receiver operating characteristic (ROC) curves showed a sensitivity of 1.000 and a specificity of 0.694. Tumor volume ( OR=1.126,95% CI:1.030-1.231, P=0.002) and DTBOS ( OR=0.225,95% CI:0.081-0.630, P=0.005) were significantly associated with postoperative CNI. The analysis of logistic composite model showed AUC values for tumor volume, DTBOS and combination of the two parameters were 0.858, 0.788, and 0.872, respectively. The model for combination of tumor volume and DTBOS also proved superior in predicting postoperative CNI ( Z=3.106, P<0.001), with a sensitivity of 0.833 and a specificity of 0.769. Conclusions:Tumor volume and DTBOS emerged as effective predictors for blood loss and/or CNI in patients with CBP resection. Moreover, the logistic composite parameter model outclassed single-parameter models in terms of their predictive clinical value.

Objective:To summarize the best evidence for non-pharmacological interventions for patients with perimenopausal sleep disorders and to provide an evidence-based basis for improving sleep disorders and quality of life in perimenopausal women.Methods:All the evidence of sleep disorder in perimenopausal period in databases were searched by the computer in UpToDate, BMJ Best Clinical Practice, Cochrane Library, Joanna Briggs Institute Database, National Guideline Cleaninghouse, National Institute for Health and Clinical Excellence, Scottish Intercollegiate Guidelines Network, Wanfang Database, CNKI, et al. The evidences includes guidelines, expert consensus, evidence summary, systematic evaluation, best practice information book, randomized controlled trial, etc. The search deadline was from database establishment to October 15, 2022. Finally, methodological quality evaluation was conducted on relevant literature to extract and integrate the best evidence.Results:A total of 22 literatures were included, including 6 guidelines, 1 position statement, 4 systematic reviews and 11 randomized controlled trials. A total of 21 pieces of evidence were collected from 5 aspects, including sleep assessment, psychological intervention, physical intervention, traditional Chinese medicine intervention and exercise intervention.Conclusions:Regular evaluation should be conducted on the sleep status of perimenopausal women, and appropriate and feasible individualized intervention measures should be provided based on the actual situation to improve their sleep quality. When applying evidence, it should be combined with the clinical environment to transform it into localized evidence to guide best practice.

Objective:To analyze the value of dual energy CT parameters combined with serum procollagen Ⅰ N-terminal propeptide (PⅠNP) and beta C-terminal cross-linked telopeptide of type Ⅰ collagen (β-CTX) in differential diagnosis of spinal bone metastasis from lung cancer and myeloma.Methods:The clinical data of 54 patients with spinal bone metastasis from lung cancer and 50 patients with myeloma in Jincheng People′s Hospital from October 2019 to March 2021 were analyzed retrospectively. All patients were examined by dual energy CT on the day of admission, and the CT values at the energy levels of 40 to 80 keV (energy interval of 10 keV) were recorded. The serum PⅠNP and β-CTX levels were detected by chemiluminescent assay before treatment. The pathological examination results were taken as gold standard, and the CT values at the energy levels of 40 to 80 keV by dual energy CT and serum PⅠNP and β-CTX levels were compared between 2 groups. Receiver operating characteristic (ROC) curve was used to analyze the differential diagnosis value of the CT values at the energy levels of 40 to 80 keV, serum PⅠNP and β-CTX levels alone and combination.Results:The CT values at the energy levels of 40 to 80 keV by dual energy CT and serum PⅠNP and β-CTX levels in patients with spinal bone metastasis from lung cancer were significantly higher than those in patients with myeloma: 79.86 (61.20, 116.32) HU vs. 58.29 (46.92, 64.03) HU, 64.48 (50.27, 90.08) HU vs. 45.78 (38.59, 56.75) HU, 57.35 (43.31, 78.04) HU vs. 43.62 (36.91, 54.06) HU, 52.05 (42.98, 75.79) HU vs. 41.26 (32.84, 51.76) HU, 45.52 (38.55, 63.59) HU vs. 36.68 (28.72, 49.83) HU, 66.35 (31.15, 81.97) μg/L vs. 31.38 (27.76, 34.50) μg/L and 0.61 (0.48, 0.67) μg/L vs. 0.49 (0.47, 0.52) μg/L, and there were statistical differences ( P<0.05 or <0.01). ROC curve analysis result showed that the sensitivity of the combination of the CT values at the energy levels of 40 to 80 keV by dual energy CT was higher than those alone (83.33% vs. 59.26%, 61.11%, 62.96%, 64.81% and 66.67), the area under the curve (AUC) was also higher than those alone (0.882 vs. 0.798, 0.811, 0.817, 0.801 and 0.773), and there were statistical differences ( P<0.01 or <0.05); the sensitivity of the combination of serum PⅠNP and β-CTX levels was higher than those alone (81.48% vs. 57.41% and 62.96%), the AUC was higher than those alone (0.829 vs. 0.753 and 0.729), and there were statistical differences ( P<0.01 or <0.05); the sensitivity of all indexes combined in the differential diagnosis of spinal bone metastasis from lung cancer and myeloma was higher than those of the combination of the CT values at the energy levels of 40 to 80 keV by dual energy CT, the combination of serum PⅠNP and β-CTX levels (98.15% vs. 83.33% and 81.48%), the same as AUC (0.976 vs. 0.882 and 0.829), and there were statistical differences ( P<0.01); there were no significant differences in the specificity of each index alone and combination ( P>0.05). Conclusions:Compared with myeloma, the CT values at the energy levels of 40 to 80 keV by dual energy CT, serum PⅠNP and β-CTX levels in patients with spinal bone metastasis from lung cancer are increased, and the combination of the above indexes has ideal value in differential diagnosis of the two diseases.

Objective:To compare the hemostatic effects and patient comfort of different compression methods for hemostasis after transradial coronary intervention.Methods:A total of 160 patients who received transradial coronary intervention in The Affiliated Hospital of Hangzhou Normal University from October 2018 to February 2020 were included in this study. In group A ( n = 80), patients underwent spiral compression at the puncture point (release for 1 turn at 2 hours after surgery, rotation for 1 circle after 1 hour, and full decompression). In group B ( n = 80), patients underwent spiral compression at the puncture point (release for 1 turn at 2 hours after surgery, rotation for 1 circle after 2 hours, and full decompression). Percutaneous arterial oxygen saturation value in the affected limb, heart rate, and Visual Analog Scale score at different times after surgery, pain and comfort score at 2 and 12 hours post-surgery were compared between the two groups. Results:Percutaneous arterial oxygen saturation value at 4 and 12 hours post-surgery in group A was (96.6 ± 0.7)% and (97.8 ± 0.5)%, respectively, which was significantly higher than that in group B [(96.2 ± 0.6)%, (97.6 ± 0.7)%, t = 3.88, 2.08, both P < 0.05]. There were no significant differences in total score and subscale score of the General Comfort Questionnaire at 2 hours post-surgery between groups A and B (both P < 0.05). At 12 hours post-surgery, scores of psychological and physical subscales and total score of the General Comfort Questionnaire in group A were (23.64 ± 3.02) points, (12.64 ± 2.05) points, (68.25 ± 6.04) points, which were significantly higher than those in group B [(22.20 ± 2.96) points, (11.38 ± 2.47) points, (64.42 ± 6.71) points, t = 3.05, 3.51, 3.79, all P < 0.05]. At 2 hours post-surgery, there was no significant difference in Numerical Rating Scale score between groups A and B ( P > 0.05). At 4 and 12 hours post-surgery, Numerical Rating Scale score in group A was (2.51 ± 0.58) points and (1.75 ± 0.76) points, respectively, which was significantly lower than that in group B [(2.95 ± 0.63) points, (2.31 ± 0.71) points, t = -4.59, -4.82, both P < 0.05). The incidence of complications was significantly lower in group A than in group B (8.75% vs. 20.00%, χ2 = 4.11, P < 0.05). Conclusion:Compression for hemostasis is highly effective by releasing for 1 turn at 2 hours after transradial coronary intervention, rotating for 1 circle after 1 hour, and full compression because it can greatly mitigate pain, ensure the oxygen supply to the affected limbs, and improve patient comfort.

Clinical comprehensive evaluation of drugs is an important technical tool for drug supply assurance decision - making，which requires evaluation subjects to use multiple evaluation methods and tools to carry out a comprehensive evaluation of multi-dimensional and multi -level evidence for drugs . Multi-criteria decision analysis （MCDA）is an important method for clinical comprehensive evaluation of drugs ，including weight assignment and comprehensive evaluation . Step-wise weight assessment ratio analysis（SWARA）is a weighting method for MCDA ，which can determine indicator weight concisely and accurately compared to other methods . This paper introduces the method of SWARA ，and systematically reviews the application of SWARA in the comprehensive clinical evaluation of drugs . Currently，the SWARA method is used in various research areas . Within the field of pharmaceuticals，researchers use the SWARA method to build MCDA models and calculate specific weight values for each drug evaluation criterion by consulting a team of experts . The advantage of SWARA is that it provides a brand -new way of assigning the weight of drug evaluation criterion by consulting experts ’opinions or judgments according to corresponding steps to solve the MCDA problem in the medical field ；however，it has certain subjectivity and uncertainty in solving complex decision -making problems，and there may also be problems such as insufficient screening of evaluation criterion and incomplete coverage of topics ， which should be paid attention to in application .