Objective To analyze the epidemiological and clinical characteristics of scrub typhus in Liuyang People's Hospital Hunan Province for better diagnosis,treatment,prevention and control of scrub typhus.Methods A retrospective study was conducted on 159 confirmed cases of scrub typhus.The demographic data of patients,clinical manifestations of scrub typhus,laboratory tests,and chest CT findings,complications,treatment,and outcomes were analyzed.Results The 159 patients with scrub typhus included 142 males and 17 females.The average age of patients was(53.8±11.9)(18-82)years old.The peak incidence of scrub typhus was in the period from July to September(87.42％).The common clinical manifestations included fever(97.48％),headache(41.51％),and fatigue(23.90％).The most common signs were eschar(92.45％)on the lower limbs(25.16％),scrotum(15.72％),and buttocks(11.32％).Laboratory test results upon admission showed decreased platelet count(64.15％),elevated creatinine(38.36％),elevated AST(90.57％),ALT(80.50％),and LDH(90.57％).Pulmonary imaging study revealed pulmonary inflammation(22.64％),pleural effusion(13.21％),and pericardial effusion(6.29％).The common complications included liver impairment(69.81％)and decreased platelet count(50.94％),as well as other complications such as renal dysfunction,myocardial injury,sepsis,respiratory failure,and disseminated intravascular coagulation(DIC).Doxycycline-based therapies resulted in cure rate of 98.11％(156/159).Three patients died due to severe complications.Conclusions The peak incidence of scrub typhus was in the period from July to September in Hunan Province.Eschar is a key feature for clinical diagnosis.Scrub typhus can affect multiple organ systems,leading to various systemic complications.The cure rate is high with doxycycline treatment,but some patients may die from severe complications due to delayed medical treatment.

Background and Aims:Gastroesophageal reflux disease(GERD)is a common complication following sleeve gastrectomy(SG),particularly in patients with concomitant hiatal hernia,where symptoms tend to be more persistent and refractory,significantly impairing postoperative quality of life.This study aimed to evaluate the efficacy of laparoscopic hiatal hernia repair combined with gastroesophageal fixation in SG patients with severe GERD and hiatal hernia,providing clinical reference for revisional surgical strategies.Methods:The clinical data of 9 patients with severe GERD after SG who underwent laparoscopic hiatal hernia repair and gastroesophageal fixation at Huashan Hospital,Fudan University,between January 2023 and June 2024 were retrospectively analyzed.GerdQ scores,proportion of endoscopically confirmed reflux esophagitis,and proton pump inhibitor(PPI)usage were compared before and after surgery.Surgical parameters and follow-up outcomes were also recorded.Results:All patients successfully completed the surgery without major intraoperative complications,and the mean postoperative hospital stay was 5.22 d.After a mean follow-up period of 15.27 months,the GerdQ score significantly decreased from 11.67±2.00 to 7.22±1.48.The proportion of patients with GerdQ score≥8 decreased from 100.00％to 44.44％,and the rate of endoscopically confirmed GERD dropped from 88.89％to 11.11％;PPI use also significantly declined,with all differences reaching statistical significance(all P＜0.05).Conclusion:Laparoscopic hiatal hernia repair combined with gastroesophageal fixation can effectively alleviate reflux symptoms in SG patients with coexisting hiatal hernia,demonstrating favorable short-term efficacy and high safety.This approach may be a preferable surgical option for selected patients.

Objective:To explore the application effect of different doses of dexmedetomidine combined with propofol in elderly patients undergoing radical thyroidectomy for thyroid cancer.Methods:This study was a prospective study,102 elderly patients undergoing radical thyroidectomy for thyroid cancer at Shayang County People's Hospital of Jingmen from April 2022 to April 2024 were selected,they were randomly divided into low-dose group and high-dose group used random number table method,with 51 patients in each group.Low-dose group received propofol(2.0 mg/kg)combined with dexmedetomidine(loading dose 0.3 μg/kg)for anesthesia induction,while high-dose group received propofol(1.0 mg/kg)combined with dexmedetomidine(loading dose 0.6 μg/kg)for anesthesia induction.The postoperative recovery indicators,pain level,cognitive function,hemodynamic indicators[mean arterial pressure(MAP)and heart rate(HR)],and adverse reactions between two groups were compared.Results:Compared with high-dose group,low-dose group had shorter awakening time,spontaneous breathing recovery time,tracheal extubation time,and lower incidence of adverse reactions(P＜0.05).Compared with high-dose group at 6 h,12 h,and 24 h after surgery,low-dose group had lower pain visual analog scale(VAS)scores and higher mini-mental state examination(MMSE)scores(P＜0.05).Compared with high-dose group at separation of thyroid gland(T2)to completion of surgery(T3),low-dose group had lower MAP and HR(P＜0.05).Conclusion:Loading dose 0.3 μg/kg dexmedetomidine combined with propofol has a good analgesic effect in elderly patients undergoing radical surgery for thyroid cancer,it can also maintain hemodynamic stability,reduce the impact on cognitive function,and lower the incidence of adverse reactions.

Objective To explore the predictive factors of recurrence of chronic suppurative otitis media(CSOM)after otoendoscopic surgery,and construct a risk quantified nomogram model.Methods The clinical data of 485 patients with CSOM who underwent otoendoscopic surgery in our hospital from February 2021 to February 2023 were retrospectively analyzed.The patients were divided into the recurrence group and the non-recurrence group according to the recurrence situation during the follow-up period.The clinical data of patients between the two groups were compared,and the predictive factors of postoperative recurrence were analyzed by Cox regression method.A risk quantified nomogram model was constructed based on these predictive factors.The predictive efficiency of the model was verified by receiver operating characteristic(ROC)curve,and the calibration degree of the model was verified by Hosmer-Lemeshow goodness of fit analysis,and the clinical net benefit of the model was evaluated by decision curve analysis(DCA)method.Results Follow-up ranged from 6 to 39 months,with a median of 21(11,32)months,the postoperative recurrence rate was 14.64%(71/485).Combined with recurrent upper respiratory tract infections(HR=3.019,95%CI:1.609 to 5.664),combined with chronic rhinosinusitis(HR=2.428,95%CI:1.529 to 3.856),combined with adenoid hypertrophy(HR=2.214,95%CI:1.381 to 3.551),middle ear risk index(MERI)score(HR=2.863,95%CI:1.445 to 5.675),the seven-item eustachian tube dysfunction questionnaire(ETDQ-7)score(HR=2.679,95%CI:1.505 to 4.765)and inadequate drainage of the surgical cavity(HR=2.373,95%CI:1.503 to 3.746)were the risk factors for postoperative recurrence(P<0.05).A risk quantified nomogram model of recurrence after otoendoscopic surgery in CSOM patients was constructed based on the predictive factors of Cox regression analysis,among them the risk value ranges of patients who combined with recurrent upper respiratory tract infections,combined with chronic rhinosinusitis,combined with adenoid hypertrophy,MERI score,ETDQ-7 score,and inadequate drainage of the surgical cavity were 0 to 65 points,0 to 56 points,0 to 52 points,0 to 76 points,0 to 64 points,and 0 to 76 points,respectively.The area under the curve of ROC,sensitivity and specificity of the model for predicting postoperative recurrence were 0.928(95%CI:0.875 to 0.948),85.92%and 88.89%,respectively.There was no significant difference between the predicted probability of postoperative recurrence and the actual probability(P>0.05).The threshold probability of postoperative recurrence predicted by the model in the range of 4%to 92%could obtain clinical net benefit.Conclusion The predictive factors of recurrence after otoendoscopic surgery in CSOM patients include combined with recurrent upper respiratory tract infections,combined with chronic rhinosinusitis,combined with adenoid hypertrophy,MERI score,ETDQ-7 score and inadequate drainage of the surgical cavity,the risk quantified nomogram model based on these factors is highly effective in predicting postoperative recurrence.

Soy is a vital source of plant carbohydrates.However,it poses significant allergenic risks,particularly to young children and animals.Among the various proteins in soy,β-conglycinin,which con-stitutes approximately 30％of total soy carbohydrates,is a primary allergen.Undigested β-conglycinin can lead to intestinal damage by inhibiting cell growth,disrupting the cytoskeleton,and inducing apopto-sis.It can also enter the lymphatic and circulatory systems,triggering allergic reactions.Conventional ELISA methods for detecting β-conglycinin rely on polyclonal or monoclonal antibodies,which are limited by their large molecular weight,difficulty in accessing the protein core,and sensitivity to acidic and bas-ic conditions.To address these limitations,this study aimed to develop nanobodies(Nbs)against β-con-glycinin.Nbs,derived from the variable regions of heavy-chain antibodies found in camelids,have a mo-lecular weight approximately one-tenth that of conventional antibodies.They offer advantages such as small size,stable structure,high specificity,and strong affinity.A female alpacas was immunized five times using β-conglycinin,which showed a heavy chain antibody potency of 1∶16 000 by ELISA.Pe-ripheral blood lymphocytes were subsequently isolated and total RNA was extracted.The variable region of the heavy-chain antibody was amplified via PCR,and recombinant plasmids were constructed and transformed into the E.coli competency strain ER2738.The resulting library contained about 3.5×108 CFU/mL,which increased to 1.15×1012 PFU/mL after phage rescue,with a 100％Nbs gene insertion rate,indicating high diversity.Its Nbs phage output was significantly enriched by four rounds of solid-phase elution with an enrichment rate of 155.9.Four rounds of solid-phase panning yielded 35 positive clones,all of which shared the same amino acid sequence upon sequencing.The selected Nb was ex-pressed in a prokaryotic system,and its binding ability to β-conglycinin was confirmed using Western blotting and ELISA.The results demonstrated excellent specificity and affinity.This research lays the groundwork for developing a rapid and efficient detection method for β-conglycinin using Nbs,potentially enhancing food safety and allergen management.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Osteoporosis(OP) is a senile bone disease characterized by an imbalance between bone remodeling and bone formation. Targeting pathogenesis of kidney deficiency, spleen deficiency, and blood stasis, Bushen Jianpi Huoxue Decoction has a significant effect on the treatment of OP by tonifying kidney, invigorating spleen, and activating blood circulation. MicroRNA(miRNA) and the anti-apoptotic protein B-cell lymphoma-2-like protein 1(BCL2L1) are closely related to bone cell metabolism. Therefore, in this study, the binding of miR-140-5p to BCL2L1 was detected by dual luciferase assay and polymerase chain reaction(PCR). After silencing or overexpressing miR-140-5p, the apoptosis, autophagy, and osteogenic function of human fetal osteoblast cell line 1.19(HFOB1.19) were observed by flow cytometry and Western blot. Bushen Jianpi Huoxue Decoction-containing serum was prepared by intragastric administration of Bushen Jianpi Huoxue Decoction in rats. Different concentrations of Bushen Jianpi Huoxue Decoction-containing serum were used to treat HFOB1.19 with or without miR-140-5p mimic. The expression of osteogenic proteins in each group was observed, and the role of miR-140-5p/BCL2L1 in apoptosis and autophagy of HFOB1.19 was studied, along with the effect of Bushen Jianpi Huoxue Decoction on these processes. As indicated by the dual luciferase assay, miR-140-5p bound to BCL2L1. Flow cytometry and Western blot showed that miR-140-5p promoted apoptosis and inhibited autophagy in HFOB1.19. After intervention with high, medium, and low doses of Bushen Jianpi Huoxue Decoction-medicated serum, compared with the miR-140-5p NC group, the expression of osteocalcin(OCN), osteopontin(OPN), Runt-related transcription factor 2(RUNX2), and transforming growth factor beta 1(TGF-β1) decreased in the miR-140-5p mimic group, while the expression of bone morphogenetic protein 2(BMP2) showed no significant difference under high-dose intervention. Therefore, miR-140-5p/BCL2L1 can promote apoptosis and inhibit autophagy in HFOB1.19. Bushen Jianpi Huoxue Decoction can affect the osteogenic effect of miR-140-5p through BMP2.
MicroRNAs/metabolism* ; Autophagy/drug effects* ; Apoptosis/drug effects* ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Cell Line ; bcl-X Protein/metabolism* ; Osteoblasts/metabolism* ; Rats ; Osteoporosis/physiopathology* ; Male ; Rats, Sprague-Dawley ; Osteogenesis/drug effects*

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.