Objective:To explore the clinical characteristics and treatment methods of middle ear cholesteatoma with intracranial and extracranial complications as the first diagnosis. Methods:A total of 244 patients were initially diagnosed with intracranial and/or extracranial complications associated with middle ear cholesteatoma at the First Affiliated Hospital of Zhengzhou University from January 2015 to January 2022, and medical records were collected and retrospectively analyzed. Results:Among 244 patients with intracranial and extracranial complications of middle ear cholesteatoma, 203 cases had one complication, 34 cases had 2 complications, and 7 cases had 3 or more complications. One hundred and eighty-six cases presented labyrinthitis, 41 cases had peripheral facial paralysis, 27 cases had periauricular abscess, 12 cases had meningitis, 10 cases had brain abscess, 7 cases had sigmoid sinus lesions, 6 cases had epidural abscess, and 4 cases demonstrated hydrocephalus. Conclusion:The destructive nature of middle ear cholesteatoma can lead to intracranial and extracranial complications. The incidence rate of extracranial complications is highest for labyrinthitis. Patients with otitis media who complained dizziness should raise clinical suspicion for potential labyrinthitis. The second most prevalent extracranial complication is peripheral facial paralysis, and early facial nerve decompression surgery is critical for better recovery of facial paralysis symptoms. Brain abscess is the most common intracranial complications, which has the highest fatality rate. Clinicians should be alert to otogenic brain abscess. Otolaryngology and neurosurgery teams should cooperate and evaluate patients' middle ear lesions and brain abscess, and jointly develop personalized treatment plans.
Humans ; Cholesteatoma, Middle Ear/surgery* ; Retrospective Studies ; Facial Paralysis/etiology* ; Brain Abscess/diagnosis* ; Male ; Female ; Otitis Media/complications* ; Meningitis/etiology* ; Labyrinthitis/etiology* ; Adult ; Middle Aged ; Young Adult

Objective To compare the clinical effect of tympanoplasty with and without eustachian tube bal-loon dilatation(ETBD)in the treatment of adhesive otitis media(AOM).Methods A total of 43 patients with AOM and eustachian tube dysfunction(ETD)were retrospectively analyzed,and were divided into the experimental group(n=22)who underwent tympanoplasty combined with ETBD and the control group(n=21)who underwent tympanoplasty alone.The changes of average air conduction hearing thresholds,pure-tone air-bone gap(ABG)and eustachian tube score(ETS)were compared between the two groups before and after surgery at 6 months and 2 years.Results There were no significant differences between the experimental group and the control group in air conduction hearing thresholds,ABG and ETS before operation(P＞0.05).Comparison within both the two groups after operation:air conduction hearing thresholds and ABG in both groups were significantly reduced(P＜0.05),and ETS in the experimental group was significantly higher than that before surgery(P＜0.05).Comparison be-tween two groups after operation:there were no statistically significant differences in the air conduction hearing thresholds and ABG at 6 months after surgery(P＞0.05),while there was statistically significant difference in ETS(P＜0.05).At 2 years,there were statistically significant differences in the air conduction hearing thresholds,ABG and ETS between the two groups(P＜0.05)with the experimental group showing better outcomes.Conclusion Tympanoplasty can significantly improve the postoperative hearing of AOM.Tympanoplasty combined with ETBD not only effectively improves the eustachian tube function,but also shows better long-term follow-up hearing im-provement,making it an effective treatment for AOM patients.

Forensic injury analysis is of great significance in the field of forensic medicine,but the complexity of injury formation process and individual differences make it highly professional.The finite element method(FEM),with its wide applicability,controllable accuracy and efficient computing power,combined with visualization,has shown great application potential in the field of forensic science.Through literature analysis,this paper introduces the basic principles of FEM and discusses its application in analysis of injuries caused by traffic accidents,shooting,tool injury and fall from height.By analyzing the simulation parameters,simulation results and research focus of each application scenario and collision site,this study evaluates the feasibility and limitations of FEM in forensic injury analysis,thereby providing reference and technical approaches for forensic injury analysis.

Multimodal biometric identification technology,which combines multiple biometric methods,is being increasingly used in forensic science due to its advantages such as difficulty of forgery and great accuracy.However,the current identification mainly relies on unimodal biometrics including facial recognition,hand recognition,iris recognition,gait recognition,and voice recognition.Thus,to a large extent,the accuracy of identification depends on the quality of the unimodal data,which faces multiple challenges.In contrast,multimodal biometrics has more obvious advantages in the field of identification,which can not only effectively resist attacks,but also enrich the feature representation with complementary information from multimodal sources,mitigate the impact of environment on the identification performance,and enhance the robustness of the system.To this end,this paper combs through the relevant work in this field,and comprehensively reviews the current research status and development trend of biometric identification technology.First,based on bibliometrics,the paper combs through the relevant research results in the past ten years,analyzes,summarizes,and discusses the commonly used deep learning models in this field,respectively,from unimodal recognition to multi-modal fusion recognition.Then the paper discusses the future development direction of the multimodal biometric identification field in the light of the practical needs of court science and provides reference for identification research.

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Objective To compare the clinical effect of tympanoplasty with and without eustachian tube bal-loon dilatation(ETBD)in the treatment of adhesive otitis media(AOM).Methods A total of 43 patients with AOM and eustachian tube dysfunction(ETD)were retrospectively analyzed,and were divided into the experimental group(n=22)who underwent tympanoplasty combined with ETBD and the control group(n=21)who underwent tympanoplasty alone.The changes of average air conduction hearing thresholds,pure-tone air-bone gap(ABG)and eustachian tube score(ETS)were compared between the two groups before and after surgery at 6 months and 2 years.Results There were no significant differences between the experimental group and the control group in air conduction hearing thresholds,ABG and ETS before operation(P＞0.05).Comparison within both the two groups after operation:air conduction hearing thresholds and ABG in both groups were significantly reduced(P＜0.05),and ETS in the experimental group was significantly higher than that before surgery(P＜0.05).Comparison be-tween two groups after operation:there were no statistically significant differences in the air conduction hearing thresholds and ABG at 6 months after surgery(P＞0.05),while there was statistically significant difference in ETS(P＜0.05).At 2 years,there were statistically significant differences in the air conduction hearing thresholds,ABG and ETS between the two groups(P＜0.05)with the experimental group showing better outcomes.Conclusion Tympanoplasty can significantly improve the postoperative hearing of AOM.Tympanoplasty combined with ETBD not only effectively improves the eustachian tube function,but also shows better long-term follow-up hearing im-provement,making it an effective treatment for AOM patients.

Multimodal biometric identification technology,which combines multiple biometric methods,is being increasingly used in forensic science due to its advantages such as difficulty of forgery and great accuracy.However,the current identification mainly relies on unimodal biometrics including facial recognition,hand recognition,iris recognition,gait recognition,and voice recognition.Thus,to a large extent,the accuracy of identification depends on the quality of the unimodal data,which faces multiple challenges.In contrast,multimodal biometrics has more obvious advantages in the field of identification,which can not only effectively resist attacks,but also enrich the feature representation with complementary information from multimodal sources,mitigate the impact of environment on the identification performance,and enhance the robustness of the system.To this end,this paper combs through the relevant work in this field,and comprehensively reviews the current research status and development trend of biometric identification technology.First,based on bibliometrics,the paper combs through the relevant research results in the past ten years,analyzes,summarizes,and discusses the commonly used deep learning models in this field,respectively,from unimodal recognition to multi-modal fusion recognition.Then the paper discusses the future development direction of the multimodal biometric identification field in the light of the practical needs of court science and provides reference for identification research.

Forensic injury analysis is of great significance in the field of forensic medicine,but the complexity of injury formation process and individual differences make it highly professional.The finite element method(FEM),with its wide applicability,controllable accuracy and efficient computing power,combined with visualization,has shown great application potential in the field of forensic science.Through literature analysis,this paper introduces the basic principles of FEM and discusses its application in analysis of injuries caused by traffic accidents,shooting,tool injury and fall from height.By analyzing the simulation parameters,simulation results and research focus of each application scenario and collision site,this study evaluates the feasibility and limitations of FEM in forensic injury analysis,thereby providing reference and technical approaches for forensic injury analysis.

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Objective:To compare the epidemiological and clinical characteristics of hospitalized children with respiratory syncytial virus (RSV) infection in Kunming among the pre-and post-COVID-19 era, and to establish a prediction model for severe RSV infection in children during the post-COVID-19 period.Methods:This was a retrospective study. Clinical and laboratory data were collected from 959 children hospitalized with RSV infection in the Department of Pulmonary and Critical Care Medicine at Kunming Children′s Hospital during January to December 2019 and January to December 2023. Patients admitted in 2019 were defined as the pre-COVID-19 group, while those admitted in 2023 were classified as the post-COVID-19 group. Epidemiological and clinical characteristics were compared between the two groups. Subsequently, comparison of the clinical severity among the two groups was performed based on propensity score matching (PSM). Furthermore, the subjects in the post-COVID-19 group were divided into severe and non-severe groups based on clinical severity. Chi-square test and Mann-Whitney U test were used for pairwise comparison between groups, and multivariate Logistic regression was applied for the identification of independent risk factors and construction of the prediction model. The receiver operating characteristic (ROC) curve and calibration curve were employed to evaluate the predictive performance of this model. Results:Among the 959 children hospitalized with RSV infection, there were 555 males and 404 females, with an onset age of 15.4 (7.3, 28.5) months. Of which, there were 331 cases in the pre-COVID-19 group and 628 cases in the post-COVID-19 group. The peak period of RSV hospitalization in the post-COVID-19 group were from May to October 2023, and the monthly number of inpatients for each of these months were as follows: 72 cases (11.5%), 98 cases (15.6%), 128 cases (20.4%), 101 cases (16.1%), 65 cases (10.4%), and 61 cases (9.7%), respectively. After PSM for general data, 267 cases were matched in each group. The proportion of wheezing in the post-COVID-19 group was lower than that in the pre-COVID-19 group (109 cases (40.8%) vs. 161 cases (60.3%), χ2=20.26, P<0.001), while the incidences of fever, tachypnea, seizures, severe case, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein and interleukin-6 levels were all higher than those in the pre-COVID-19 group (146 cases (54.7%) vs. 119 cases (44.6%), 117 cases (43.8%) vs. 89 cases (33.3%), 37 cases (13.9%) vs. 14 cases (5.2%), 69 cases (25.8%) vs. 45 cases (16.9%), 3.6 (1.9, 6.4) vs. 2.3 (1.8, 4.6), 9.9 (7.1, 15.2) vs. 7.8 (4.5, 13.9) mg/L, 20.5 (15.7, 30.4) vs. 17.2 (11.0, 26.9) ng/L, χ2=5.46, 6.36, 11.47, 6.42, Z=4.13, 3.06, 2.96, all P<0.05). There were 252 cases and 107 cases with co-infection in the post-and pre-COVID-19 groups, respectively. The proportion of triple and quadruple infection in the post-COVID-19 group was higher than that in the pre-COVID-19 group (59 cases (23.4%) vs. 13 cases (12.1%), 30 cases (11.9%) vs. 5 cases (4.7%), χ2=5.94, 4.46, both P<0.05). Among the 252 cases with co-infection in post-COVID-19 group, the most prevalent pathogens involving in co-infections, in order, were Mycoplasma pneumoniae 56 cases (22.2%), Influenza A virus 53 cases (21.0%), Rhinovirus 48 cases (19.0%), Parainfluenza virus 35 cases (13.9%), and Adenovirus 28 cases (11.1%).The result of multivariate Logistic regression showed that age ( OR=0.70, 95% CI 0.62-0.78, P<0.001), underlying diseases ( OR=10.03, 95% CI 4.10-24.55, P<0.001), premature birth ( OR=6.78, 95% CI 3.53-13.04, P<0.001), NLR ( OR=1.85, 95% CI 1.09-3.15, P=0.023), and co-infection ( OR=1.28, 95% CI 1.18-1.38, P<0.001) were independently associated with the development of severe RSV infection in the post-COVID-19 group. The ROC curve of the prediction model integrating the above five factors indicated an area under the curve of 0.85 (95% CI 0.80-0.89, P<0.001), with an optimal cutoff of 0.21, a sensitivity of 0.83 and a specificity of 0.80. The calibration curve showed that the predicted probability in this model did not differ significantly from the actual probability ( P=0.319). Conclusions:In the post-COVID-19 era in Kunming, the peak in pediatric hospitalizations for RSV infection was from May to October, with declined incidence of wheezing and increased incidence of fever, tachypnea, seizures, severe cases, and rates of triple and quadruple co-infections. Age, underlying diseases, premature birth, NLR, and co-infection were identified as independent risk factors for severe RSV infection in the post-COVID-19 period. In this study, a risk prediction model for severe pediatric RSV infection was established, which had a good predictive performance.