BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

Objective To explore the risk factors for mineral and bone disorder in maintenance hemodialysis patients, and to construct and validate a nomogram prediction model. Methods A total of 306 patients undergoing maintenance hemodialysis at Shanghai Eighth People’s Hospital from January 2021 to May 2025 were selected as study subjects and randomly divided into a training set (n＝214) and a validation set (n＝92) in a 7∶3 ratio. In the training set, patients were divided into a normal bone mineral metabolism group and an abnormal bone mineral metabolism group, and related factors were compared between the two groups. The multivariate logistic regression analysis was used to identify the influencing factors of mineral and bone disorder in maintenance hemodialysis patients in the training set, and a nomogram prediction model was constructed. ROC curves were drawn to evaluate the ability of the nomogram model for predicting mineral and bone disorder in these patients. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to analyze the consistency of the predictive probability of nomogram model and actual probability of mineral and bone disorder in these patients. The decision curve was used to assess the clinical benefit using nomogram prediction model. Results Among the 306 hemodialysis patients, 254 patients had mineral and bone disorder, accounting for 83.01%. Among the 214 patients in the training set, 177 had mineral and bone disorder, accounting for 82.71%. In the training set, age, gender, body mass index (BMI), hypertension rate, dialysis age, blood urea nitrogen (BUN), hemoglobin (Hb), albumin (ALB), alkaline phosphatase (ALP), serum creatinine (SCr), uric acid (UA), estimated glomerular filtration rate (eGFR), and rate of taking phosphate binders were statistically significant different between the two groups (P＜0.05). The multivariate logistic regression analysis showed higher age, female, hypertension, longer dialysis duration, decreased eGFR, and not taking phosphate binders were identified as risk factors for mineral and bone disorder in maintenance hemodialysis patients (P＜0.01). The nomogram prediction model was constructed. The area under the ROC curve of the model for mineral and bone disorder in the training set and validation set was 0.895 (95%CI 0.850-0.941) and 0.881 (95%CI 0.830-0.932), respectively, with maximum Youden indice of 0.650 and 0.600, sensitivity of 0.856 and 0.849, and specificity of 0.794 and 0.751. The Hosmer-Lemeshow test showed the nomogram prediction model had good consistency in predictive probabilities with actual probabilities in training set and validation set. The decision curve showed the nomogram model could bring clinical net benefits when the threshold probabilities in the training set and validation set were less than 0.96 and 0.91. Conclusions The nomogram prediction model constructed based on six independent risk factors including age, gender, hypertension, dialysis duration, eGFR, and using phosphate binders or not, shows good discrimination and calibration, with good clinical predictive ability, which could provide guidance for the management of maintenance hemodialysis patients.

Objective:To compare the outcomes of multiple scales, primarily the speech, spatial, and other qualities of hearing scale for parents（SSQ-P）, in children with ipsilateral vs. Contralateral cochleareimplantat ion（CRI）. Methods: A total of 69 children who received cochlear implantation surgery from April 1999 to June 2024 were included. Patients were divided into two groups based on whether the implantation was on the same side. General information such as gender, age, age at initial implantation and reimplantation was collected. The primary caregivers of the children were followed up by telephone using the categories of auditory performance（CAP）, speech intelligibility rating（SIR）, and SSQ-P questionnaires. Statistical methods including stepwise regression, linear regression, and permutation tests were employed to investigate if there were any statistically significant differences in the scores of CAP, SIR, SSQ-P total, SSQ-P speech perception, SSQ-P spatial hearing, and SSQ-P auditory quality dimensions between the ipsilateral and contralateral reimplantation groups. Results:Of the 69 children included, 62 were in the ipsilateral reimplantation group with a mean age of 11.1 years, and 7 were in the contralateral reimplantation group with a mean age of 11.7 years. Statistical analysis showed that patients in the contralateral reimplantation group had significantly lower SSQ-P total scores （P<0.05） and spatial hearing dimension scores （P<0.05） than those in the ipsilateral reimplantation group after controlling for the corresponding confounders. Conclusion:The effect of ipsilateral reimplantation of cochlear implants is superior to that of contralateral reimplantation in terms of overall auditory function and spatial hearing in daily life for children, but the mechanisms require further investigation.
Humans ; Cochlear Implantation ; Child ; Parents ; Speech Perception ; Male ; Cochlear Implants ; Female ; Hearing ; Surveys and Questionnaires ; Speech ; Child, Preschool

The DNA characterization of Cannabis sativa L.has been one of the key directions of anti-drug research at home and abroad.Previous research mainly focused on the identification of cannabis-species and gender differentiation,and have constructed a number of corresponding composite amplification systems.With the rapid development of high-throughput sequencing technology,the whole genome of C.sativa and the sequences of key enzyme genes for its major physicochemical components have been sequenced successively,and intra-species differentiation studies of C.sativa based on specific molecular markers have gradually emerged.However,due to the high variability of cannabis subspecies-and variety-specific molecular markers,relevant foreign studies failed to provide ideal molecular marker support for the identification of intra-specific distinctions of Cannabis sativa in China.Based on this,this paper comprehensively analyzes the current situation and shortcomings of domestic and international research on intra-specific differentiation of C.sativa,and combines the previous research results of this group to elaborate on how to use high-throughput sequencing technology to solve the problem of the lack of intra-specific molecular markers of C.sativa in China.

Objective To explore the myopia control effect of orthokeratology(OK)lenses and build a prediction model of myopia control effect based on random forest and Logistic regression,so as to provide a basis for further impro-ving adolescent vision.Methods A total of 289 patients who wore OK lenses after seeing an ophthalmologist in Shiji-azhuang People's Hospital from January to June 2019 were selected as the OK lens group,and a total of 289 patients who wore framed glasses during the same period were selected as the framed glass group.After 2 and 4 years of wearing,the in-crease in axial length(AL)of the patients was observed.The patients were divided into a well-controlled myopia group and a poorly-controlled myopia group according to the changes in AL of the eyes after wearing OK lenses for 4 years.The fac-tors influencing the myopia control effect were analyzed based on random forest and Logistic regression,and a nomogram prediction model was constructed.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results After 2 and 4 years,the diopter increase and AL increase of patients wearing OK lenses were lower than those of patients wearing framed glasses(all P＜0.001).There were no significant changes in corneal endothelial cell parameters and central corneal thickness at the thinnest point before,2 years and 4 years after wearing between the two groups(all P＞0.05).The random forest model showed that basic AL,daily wear time,correct eye health behavior,pupil diameter,daily outdoor activity time,homework time after school,and daily sleep time were the top 7 variables in importance ranking.Logistic regression analysis showed that home-work time after school was a risk factor for poor myopia control in OK lens wearers,while basic AL,pupil diameter,daily wear time,correct eye health behavior,daily outdoor activity time,and daily sleep time were protective factors for myopia control.The ROC curve,calibration curve,and DCA suggested that the nomogram prediction model constructed based on random forest and Logistic regression analysis had good accuracy,consistency and clinical effectiveness.Conclusion OK lens shows good myopia control effect,has little effect on corneal endothelial cells and corneal thickness,and demon-strates high safety.Homework time after school,basic AL,pupil diameter,daily wear time,correct eye health behavior,daily outdoor activity time,and daily sleep time are influencing factors of myopia control.Strengthening the construction of a prediction model is helpful in identifying high-risk groups with poor myopia control and guiding clinical interventions in time.

Despite growing prevalence and incidence, the management of gout remains suboptimal. The intermittent nature of the gout makes the long-term urate-lowering therapy (ULT) particularly important for gout management. However, patients are reluctant to take medication day after day to manage incurable occasional gout flares, and suffer from possible long-term toxicity. Therefore, a safe and easy-to-operate drug delivery system with simple preparation for the long-term management of gout is very necessary. Here, a chitosan-containing sustained-release microneedle system co-loaded with colchicine and uricase liposomes were fabricated to achieve this goal. This microneedle system was confirmed to successfully deliver the drug to the skin and maintain a one-week drug retention. Furthermore, its powerful therapeutic potency to manage gout was investigated in both acute gouty and chronic gouty models. Besides, the drug co-delivery system could help avoid long-term daily oral colchicine, a drug with a narrow therapeutic index. This system also avoids mass injection of uricase by improving its stability, enhancing the clinical application value of uricase. In general, this two-drug system reduces the dosage of uricase and colchicine and improves the patient's compliance, which has a strong clinical translation.

Objective:To explore the effects of apolipoprotein E-mimetic peptide COG1410 on M1/M2 microglia polarization and retinal ganglion cells (RGCs) survival after ischemia-reperfusion (IR) injury in the mouse retina and its possible mechanisms.Methods:Eighteen 8-week-old C57BL/6J male mice were divided into control group (6 mice), IR 3 days group (6 mice), IR 7 days group (3 mice), and IR 14 days group (3 mice) according to the randomized number table method.Mice in IR group were perfused in the anterior chamber using saline, and the intraocular pressure (IOP) was raised to 100 mmHg (1 mmHg=0.133 kPa) and maintained for 1 hour in order to establish a model of IR injury in the retina.Three mice from control group and 3 mice from IR 3 days group were taken to observe the distribution of retinal microglia by immunofluorescence staining of retinal frozen sections.Three mice were taken from normal control, IR 3 days, IR 7 days, and IR 14 days groups respectively to observe the changes of retinal M1-type and M2-type microglial cells with time after IR injury by immunofluorescence staining of retina.Another 91 C57BL/6J mice were randomly divided into normal control group (19 mice), IR group (24 mice), saline group (24 mice), and COG1410 group (24 mice) according to the random number table method.Mice in normal control group maintained a normal IOP, and the IR injury model was established in the other three groups.In addition, COG1410 group and saline group were injected with 1 mg/kg COG1410 and an equal volume of saline by tail vein injection, respectively.The microglia phenotype and survival rate of RGCs were observed by immunofluorescence staining of retinal wholemount.The relative expressions of retinal tumor necrosis factor-ɑ (TNF-ɑ) and interleukin-1β (IL-1β) mRNA were detected by real-time fluorescence quantitative PCR.The apoptosis of retinal neuronal cells was observed by the TUNEL assay.The expression levels of retinal nuclear factor-κB (NF-κB), B lymphocyte-2 (Bcl-2), and Bcl-2-associated X protein (Bax) proteins were detected by Western blot.Use and care of animals strictly complied with the Hubei Provincial Regulations on the Management of Laboratory Animals and the experiment was approved by the Animal Ethics Committee of the Renmin Hospital of Wuhan University (No.WDRM20190113).Results:Retinal microglia in normal control group and IR 3 days group were mainly distributed in the ganglion cell layer, inner plexiform layer, and outer plexiform layer.There were statistically significant differences in the comparison of the proportions of M1-type and M2-type microglia among normal control, IR 3 days, IR 7 days, and IR 14 days groups ( F=29.83, 57.62; both at P<0.001). Compared with normal control group, the number of M1-type microglia was higher in IR 3 days group, and the number of M2-type microglia was higher in IR 7 days group, and the differences were statistically significant (all at P<0.05). The proportions of M1-type microglia in normal control group, IR group, saline group, and COG1410 group were (4.25±0.57)%, (65.26±10.43)%, (63.01±4.93)%, and (33.13±4.46%), respectively, and the proportions of M2-type microglia in the four groups were (4.50±0.20)%, (11.47±0.24 )%, (11.75±0.17)%, and (38.93±4.26)%, showing statistically significant differences among them ( F=23.33, 50.82; both at P<0.001). The proportions of M1-type microglia decreased while the proportions of M2-type microglia increased in COG1410 group when compared with IR group, and the differences were statistically significant (both at P<0.05). There were statistically significant differences in RGCs survival rate, relative expression of retinal TNF-ɑ and IL-1β mRNA, retinal apoptotic cell count, retinal NF-κB and Bax protein expression levels, and Bax/Bcl-2 ratio among the four groups ( F=30.77, 12.52, 6.74, 28.72, 13.02, 7.94, 7.58; all at P<0.05). Compared with normal control group, there were significant decreases in the survival rate of RGCs and increases in retinal apoptotic cell number, TNF-ɑ and IL-1β mRNA expression, retinal NF-κB and Bax protein expression levels, and Bax/Bcl-2 ratio in IR group (all at P<0.05). Compared with IR group, the COG1410 group had increased retinal RGCs survival rate, decreased TNF-ɑ and IL-1β mRNA expression levels, decreased TUNEL-positive cells, decreased NF-κB and Bax proteins expression levels, and decreased Bax/Bcl2 ratio, and the differences were statistically significant (all at P<0.05). Conclusions:Three days after retinal IR modeling, COG1410 promotes the polarization of M1-type microglia to M2-type, inhibits the expression of retinal NF-κB and downstream inflammatory factors, and attenuates the retinal inflammatory response, as well as inhibits the expression of apoptosis-related proteins, which promotes the survival of RGCs.

OBJECTIVE To analyze the si tuation and hot spots of gabapentinoid drugs in the treatment of pain. METHODS Related researches about gabapentinoid drugs in the treatment of pain were retrieved from Web of Science core collection database during Jan. 1st，2011-Dec. 31st，2020. VOSviewer 1.6.17，CiteSpace 5.8.R1 and Excel 2018 software were used to statistically analyze the key characteristics of relevant literature ，such as the annual publications ，countries/regions，institutions，authors， journals and research hot spots. RESULTS & CONCLUSIONS A total of 3 519 literatures were retrieved ，and the annual publication outputs showed an upward trend generally. Totally 86 countries/regions had conducted relevant studies ，of which the United States ranked first （up to 1 219），and had close cooperation with the United Kingdom ，Canada，China，Germany，Japan， etc；a total of 3 996 institutions had published relevant literatures ，and the Pfizer Inc. issued the most publications ；the most studies were devoted by Professor Parsons from the University of California San Diego ，and the highest co-citations author was Professor Gilron from the Queen ’s University. Among 1 185 journals，Pain ranked first not only in the high-productive journal ，but also in the co-cited journal. The main hot topics include abuse and misuse of gabapentinoid ，off-label use of gabapentinoid ，clinical application of gabapentinoid as a component of multimodal analgesia ，and the update of guidelines for pain based on systematic evaluation and meta-analysis.