Developmental dysplasia of the hip (DDH) is the most common bone developmental disorder in children, emphasizing the need for effective, standardized, and accurate screening and treatment approaches. This paper reviews traditional ultrasound diagnostic methods for DDH in children aged 0-6 months and examines the latest advancements in artificial intelligence (AI)-assisted ultrasound technology. It compares the diagnostic accuracy, efficiency, and limitations of these approaches while addressing controversies surrounding the adoption of AI. Results indicate that AI-assisted ultrasound significantly outperforms traditional methods in both accuracy and efficiency but also raises concerns about over-diagnosis and over-treatment. Despite these challenges, AI-assisted ultrasound holds immense potential, and with technological advancements, it is expected to gain wider acceptance among clinicians, enhancing its application in clinical practice.

Objective:To investigate the clinical characteristics of limb overgrowth following proximal femoral osteotomy (PFO) for unilateral developmental dysplasia of the hip (DDH) in children.Methods:A retrospective analysis was conducted on 36 children with unilateral DDH who underwent PFO at Xi'an Honghui Hospital from June 2017 to June 2021. The cohort included 4 males and 32 females, with a mean age of 4.23±3.15 years (range: 2-12 years), comprising 28 left-sided and 8 right-sided cases. According to the International Hip Dysplasia Institute (IHDI) classification, there were 2 type I, 9 type II, 16 type III, and 9 type IV cases. Radiographic parameters [femoral length, femoral neck anteversion angle, neck-shaft angle, acetabular index (AI), center-edge angle (CEA), center-head distance discrepancy (CHDD)] and PFO parameters (varus angle, shortening length, derotation angle) were measured on X-ray and 3D CT reconstructions. Comparisons were made between the overgrowth ≥1 cm group ( n=14) and <1 cm group ( n=22) to analyze risk factors and patterns. Results:The overgrowth ≥1 cm group had significantly younger patients (2.49±1.03 years vs. 5.13±3.47 years, t=-2.757, P<0.001). Overgrowth magnitude varied significantly across age subgroups: 11.08±6.17 mm in the 2-4 years group, 5.08±0.19 mm in the >4-<6 years group, and 2.44±4.50 mm in the ≥6 years group ( F=5.436, P=0.031). The highest incidence of overgrowth occurred in the 2-4 years subgroup (56%, 20/36). Limb overgrowth initiated at 3 months postoperatively, exhibited a linear correlation with follow-up duration during 6-18 months [ r=0.78, 95% CI(0.62, 0.88), P<0.001)], and plateaued after 18 months [ r=-0.15, 95% CI(-0.75, 0.57), P=0.710]. Postoperative CEA and CHDD showed significant improvements ( P<0.05), while AI remained unchanged ( P>0.05). Conclusions:Children aged 2-4 years exhibit higher incidence and severity of post-PFO limb overgrowth. The rapid progression phase occurs within 6-18 months postoperatively, stabilizing thereafter. CEA and CHDD serve as critical indicators for evaluating intervention efficacy in DDH-related overgrowth.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To develop a machine learning-based risk prediction model for postoperative acute kidney injury(AKI)and a model for mortality in obese patients admitted to intensive care unit(ICU)in order to improve early warning and prognostic evaluation to support clinical decision-making.Methods Data of obese postoperative ICU patients were retrospectively retrieved from the MIMIC-Ⅳ and eICU databases for statistical analysis.Ultimately,2 520 patients(670 from MIMIC-Ⅳ and 1 850 from eICU databases)were included to build the risk prediction models for AKI and mortality.The data included demographic information,vital signs,laboratory findings,surgical types,comorbidities,and medication use.After data cleaning and preprocessing,Boruta feature selection was applied,followed by the construction of prediction models using 7 machine learning algorithms,that is,Gradient Boosting Machine(GBM),Generalized Linear Model(GLM),k-Nearest Neighbors(KNN),Na?ve Bayes(NB),Neural Network(NNET),Support Vector Machine(SVM),and XGBoost.Model performance was evaluated through cross-validation and external validation.Results In the risk prediction models of AKI,the SVM model achieved the highest AUC value of 0.80 in the testing set and 0.71 in the external validation test.For the risk prediction models of mortality,the GBM model outperformed others in the prediction,attaining an AUC value of 0.91 in the testing set.Conclusion Risk predictive models for postoperative AKI and mortality in obese ICU patients are successfully constructed,and are valuable tools for clinicians to optimize early intervention and improve clinical outcomes for the patients.

Objective To systematic analyze the risk factors for new-onset urethral stricture after transurethral holmium laser enucleation of the prostate(HoLEP)in the treatment of benign prostatic hyperplasia(BPH).Methods A case-control study was conducted on 746 BPH patients undergoing HoLEP treatment in Department of Urology of the Third Medical Center of Chinese PLA General Hospital from November 2021 to August 2024.After 23 cases were excluded because of complication of prostate cancer,finally 723 patients were included.General clinical data such as age,height,weight,history of smoking and drinking,perioperative parameters,and follow-up data at 1,3 and 6 months after operation were collected.Univariate and multivariate logistic regression analyses were used to identify the clinical risk factors for new-onset urethral stricture after HoLEP.Results The subjected patients had a median age of 66.5(64.0,75.0)years,and a preoperative median prostate volume of 66(45,92)mL,and a median indwelling catheter time of 4(4,5)d.The incidence of new urethral stricture after operation was 5.8%(42/723),with membranous part of the urethra(61.9%)the most common site,followed by the external urethral orifice(21.4%)and the bladder neck(7.1%).Risk factor analysis indicated that low BMI(<18.5 kg/m2)(OR=4.682,P=0.037),young age(OR=0.946,P=0.005),and postoperative urinary tract infection(OR=4.513,P=0.001)were independent risk factors for new-onset urethral stricture after surgery.Prostate volume and indwelling time of urinary catheter had no significant association with the occurrence of new urethral stricture after surgery.Conclusion The occurrence of new-onset urethral stricture after HoLEP is significantly correlated with BMI,age and urinary tract infection.The above 3 factors can be used as better predictors of new-onset urethral stricture after HoLEP.

Residual formaldehyde(FA)in environmental water samples,certain aquatic products,vegetables,and other food items poses a severe threat to environmental safety and human health.Therefore,the rapid,sensitive and selective detection of FA is very essential for food safety and environmental protection.In this work,a new 1,8-naphthalimide-based fluorescent probe NIPh for FA detection was synthesized by using hydrazide group as a reactive site for FA and naphthalimide as a fluorophore.Based on the photoinduced electron transfer(PET)process,the prepared probe NIPh showed a remarkable fluorescence lighting-up response towards FA in aqueous medium with high selectivity,fast response(within 4 min)and a low limit of detection(0.16 μmol/L).Further,the probe NIPh was also successfully applied as optical probe to detection of FA in cabbage,enoki mushroom,pond and tap water samples,with recoveries over 96%,and relative standard deviations less than 4%,demonstrating tremendous potential in FA monitoring in the field of food industry and environment.

[Objective] To study on the genotyping of a sample with inconsistent forward and reverse serological tests, and to conduct a pedigree investigation and molecular biological mechanism study. [Methods] The ABO blood group of the proband and his family members were identified using blood group serological method. The ABO gene exon 1-7 of samples of the proband and his family were sequenced by Sanger and single molecule real-time sequencing (SMRT). DeepTMHMM was used to predict and analyze the transmembrane region of proteins before and after mutation. [Results] The proband and his mother have the Bw phenotype, while his maternal grandfather has ABw phenotype. The blood group results of forward and reverse typing of other family members were consistent. ABO gene sequencing results showed that there was B new mutation of c.3 G>C in exon 1 of ABO gene in the proband, his mother and grandfather, leading to a shift in translation start site. DeepTMHMM analysis indicated that the shift in the translation start site altered the protein topology. [Conclusion] The c.3G>C mutation in the first exon of the ABO gene leads to a shift in the translation start site, altering the protein topology from an α-transmembrane region to a spherical signaling peptide, reducing enzyme activity and resulting in the Bw serological phenotype.

OBJECTIVE: To examine the effectiveness of Chinese medicine (CM) Lianhua Qingwen Granule (LHQW) and Jingyin Gubiao Prescription (JYGB) in asymptomatic or mild patients with Omicron infection in the shelter hospital. METHODS: This single-center retrospective cohort study was conducted in the largest shelter hospital in Shanghai, China, from April 10, 2022 to May 30, 2022. A total of 56,244 asymptomatic and mild Omicron cases were included and divided into 4 groups, i.e., non-administration group (23,702 cases), LHQW group (11,576 cases), JYGB group (12,112 cases), and dual combination of LHQW and JYGB group (8,854 cases). The length of stay (LOS) in the hospital was used to assess the effectiveness of LHQW and JYGB treatment on Omicron infection. RESULTS: Patients aged 41-60 years, with nadir threshold cycle (C_T) value of N gene <25, or those fully vaccinated preferred to receive CM therapy. Before or after propensity score matching (PSM), the multiple linear regression showed that LHQW and JYGB treatment were independent influence factors of LOS (both P<0.001). After PSM, there were significant differences in LOS between the LHQW/JYGB combination and the other groups (P<0.01). The results of factorial design ANOVA proved that the LHQW/JYGB combination therapy synergistically shortened LOS (P=0.032). CONCLUSIONS Patients with a nadir C_T value <25 were more likely to accept CM. The LHQW/JYGB combination therapy could shorten the LOS of Omicron-infected individuals in an isolated environment.
Humans ; Drugs, Chinese Herbal/therapeutic use* ; Male ; Female ; Middle Aged ; Adult ; China/epidemiology* ; Hospitalization ; COVID-19 Drug Treatment ; COVID-19/epidemiology* ; SARS-CoV-2 ; Retrospective Studies ; Treatment Outcome ; Length of Stay ; Young Adult ; Aged

Developmental dysplasia of the hip (DDH) is the most common bone developmental disorder in children, emphasizing the need for effective, standardized, and accurate screening and treatment approaches. This paper reviews traditional ultrasound diagnostic methods for DDH in children aged 0-6 months and examines the latest advancements in artificial intelligence (AI)-assisted ultrasound technology. It compares the diagnostic accuracy, efficiency, and limitations of these approaches while addressing controversies surrounding the adoption of AI. Results indicate that AI-assisted ultrasound significantly outperforms traditional methods in both accuracy and efficiency but also raises concerns about over-diagnosis and over-treatment. Despite these challenges, AI-assisted ultrasound holds immense potential, and with technological advancements, it is expected to gain wider acceptance among clinicians, enhancing its application in clinical practice.

Objective:To investigate the clinical characteristics of limb overgrowth following proximal femoral osteotomy (PFO) for unilateral developmental dysplasia of the hip (DDH) in children.Methods:A retrospective analysis was conducted on 36 children with unilateral DDH who underwent PFO at Xi'an Honghui Hospital from June 2017 to June 2021. The cohort included 4 males and 32 females, with a mean age of 4.23±3.15 years (range: 2-12 years), comprising 28 left-sided and 8 right-sided cases. According to the International Hip Dysplasia Institute (IHDI) classification, there were 2 type I, 9 type II, 16 type III, and 9 type IV cases. Radiographic parameters [femoral length, femoral neck anteversion angle, neck-shaft angle, acetabular index (AI), center-edge angle (CEA), center-head distance discrepancy (CHDD)] and PFO parameters (varus angle, shortening length, derotation angle) were measured on X-ray and 3D CT reconstructions. Comparisons were made between the overgrowth ≥1 cm group ( n=14) and <1 cm group ( n=22) to analyze risk factors and patterns. Results:The overgrowth ≥1 cm group had significantly younger patients (2.49±1.03 years vs. 5.13±3.47 years, t=-2.757, P<0.001). Overgrowth magnitude varied significantly across age subgroups: 11.08±6.17 mm in the 2-4 years group, 5.08±0.19 mm in the >4-<6 years group, and 2.44±4.50 mm in the ≥6 years group ( F=5.436, P=0.031). The highest incidence of overgrowth occurred in the 2-4 years subgroup (56%, 20/36). Limb overgrowth initiated at 3 months postoperatively, exhibited a linear correlation with follow-up duration during 6-18 months [ r=0.78, 95% CI(0.62, 0.88), P<0.001)], and plateaued after 18 months [ r=-0.15, 95% CI(-0.75, 0.57), P=0.710]. Postoperative CEA and CHDD showed significant improvements ( P<0.05), while AI remained unchanged ( P>0.05). Conclusions:Children aged 2-4 years exhibit higher incidence and severity of post-PFO limb overgrowth. The rapid progression phase occurs within 6-18 months postoperatively, stabilizing thereafter. CEA and CHDD serve as critical indicators for evaluating intervention efficacy in DDH-related overgrowth.