Objective To explore the occurrence risk of enteral nutrition intolerance and analyze its influencing factors in 302 elderly critically ill patients. Methods The clinical case data of elderly critically ill patients in department of elderly cadres of the hospital were retrospectively analyzed from January 2019 to January 2024. According to the occurrence of enteral nutrition intolerance or not, they were divided into occurrence group (n=156) and non-occurrence group (n=146). The risk of nutritional intolerance in elderly critically ill patients was evaluated by feeding intolerance risk assessment form, and the influencing factors of enteral nutrition intolerance were analyzed by multivariate logistic regression analysis. Results Among the 302 elderly patients with critical illness, 53.31% (161/302) had high risk of enteral nutrition intolerance, and 51.66% (156/302) had enteral nutrition intolerance. Multivariate logistic analysis revealed that CRP level>10mg/L, APACHE-II score≥20 points, Lac≥3mmol/L and hypoalbuminemia were risk factors in elderly critically ill patients (OR=1.806, 2.977, 8.232, 3.031, P=0.011, 0.001, 0.041, 0.047), and addition of dietary fiber was a protective factor for enteral nutrition intolerance (OR=1.652, P=0.037). Conclusion The risk of enteral nutrition intolerance is high in elderly critically ill patients. Lac level, CRP level, hypoalbuminemia, and APACHE-II score of patients are independent risk factors for enteral nutrition intolerance, and addition of dietary fiber is a protective factor. It is necessary to take targeted interventions for patients according to the above factors to minimize the occurrence of enteral nutrition intolerance.

This study aims to explore the mechanism of Huanglian Jiedu Decoction(HJD) in treating acute liver injury(ALI) in the mouse model of sepsis induced by lipopolysaccharide(LPS). Fifty-four male C57BL/6 mice were randomized into six groups: blank group, model group, low-, medium-, and high-dose group HJD, and dexamethasone group. The mouse model of sepsis was established by intraperitoneal injection of LPS after 7 days of gavage with HJD, and dexamethasone(0.2 mL) was injected intraperitoneally 1.5 h after modeling. The murine sepsis score(MSS) was recorded 12 h after modeling. The levels of alanine aminotransferase(ALT) and aspartate aminotransferase(AST) in the liver tissue and tumor necrosis factor-α(TNF-α) and interleukin-6(IL-6) in the serum were measured by ELISA. Hematoxylin-eosin(HE) staining was used to observe the pathological changes of the mouse liver. The content of light chain 3 of microtubule-associated protein 1(LC3) was detected by immunofluorescence, and that of sirtuin 1(SIRT1) was detected by immunohistochemistry. The mRNA levels of adenosine 5'-monophosphate-activated protein kinase(AMPK), LC3, and P62 were detected by RT-PCR. Western blot was employed to determine the protein levels of AMPK, p-AMPK, and SIRT1 in the liver tissue. The results showed that compared with model group, drug interventions decreased the MSS and liver injury indicators, lowered the levels of inflammatory cytokines, improved the liver tissue structure, upregulated the protein levels of of p-AMPK/AMPK and SIRT1 and the mRNA levels of AMPK and LC3, and downregulated the mRNA level of P62. To sum up, HJD can regulate the autophagy level and reduce inflammation to ameliorate acute liver injury in septic mice by activating the AMPK/SIRT1 autophagy pathway.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Sirtuin 1/genetics* ; Male ; Mice ; Sepsis/metabolism* ; Mice, Inbred C57BL ; Autophagy/drug effects* ; AMP-Activated Protein Kinases/genetics* ; Liver/metabolism* ; Humans ; Signal Transduction/drug effects* ; Disease Models, Animal ; Tumor Necrosis Factor-alpha/genetics*

The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans ; Malocclusion, Angle Class III/classification* ; Orthodontics, Corrective/methods* ; Consensus ; Child

In recent years,the incidence of childhood cancer has shown a steady upward trend.Due to the unique nature of this disease,the issue of affiliate stigma among primary caregivers of children with cancer has gradually drawn attention.Affiliate stigma not only directly affects caregivers' mental health and quality of life,but also leads to reduced social support and lower self-efficacy,thereby impacting their engagement in the caregiving process and affecting the treatment adherence and prognosis of children with cancer indirectly.This article provides a review covering 5 main areas:the conceptual definition of affiliate stigma,measurement tools,influencing factors,intervention strategies,and insights and recommendations,to provide a theoretical basis and guidance for subsequent research and the development of interventions.

This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.

This paper reports a case of disseminated intravascular coagulation(DIC) that occurred early after hybrid surgery for type B aortic dissection with an aortic arch aneurysm. Through analyzing the clinical manifestations, imaging findings, and treatment response of the patient, we propose that massive false-lumen thrombosis may serve as a critical trigger for early postoperative coagulation activation leading to DIC. Corresponding treatment strategies are suggested to enhance clinicians' ability to recognize and manage this critical condition.

The field(emergency)rapid inspection systems involving in the backpack,chest,vehicle and shelter had their research advances introduced and characteristics and deficiencies analyzed,and some improvement suggestions were put forward accordingly.It's pointed out the backpack,chest,vehicle and shelter be combined effectively to enhance the mobility and flexibility of field(emergency)rapid inspection systems.References were provided for the future enhancement and effecient operation of field(emergency)rapid inspection systems.[Chinese Medical Equipment Journal,2025,46(2):80-86]

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To construct an early warning model for gestational diabetes mellitus (GDM) based on baseline data, vitamin D (VitD) , and thyroid function status.Methods:A prospective study was conducted to select 126 patients with GDM (GDM group) and 126 pregnant women without GDM (control group) admitted to the Obstetrics Department of Qinhuangdao First Hospital from Jan. 2022 to May. 2024. The single-factor and multi-factor LASSO Logistic regression analysis was used to analyze the influencing factors of the risk of GDM. Based on the results of the multi-factor analysis, an early warning model for GDM was constructed, evaluated, and validated.Results:Age, pre-pregnancy body mass index (BMI) , family history of diabetes, thyroid function, low density lipoprotein (LDL-C) , triglyceride (TG) , VitD, fasting plasma glucose (FPG) , glycated hemoglobin (HbA1c) and blood uric acid were compared, and the differences were statistically significant ( P < 0.05) . LASSO Logistic regression analysis showed that family history of diabetes, hypothyroidism, pre-pregnancy BMI, TG, VitD, FPG, HbA1c and blood uric acid were independently correlated with the risk of GDM ( P < 0.05) . A GDM early warning model was constructed based on the results of multiple factors, with a C-index of 0.876, indicating good predictive performance; The model evaluation and validation results show that the model has good internal and external calibration, high consistency between predicted values and actual observed values, and good predictive value and discrimination in external data sets. Conclusions:Baseline data such as hypothyroidism, VitD, and pre-pregnancy BMI are independent factors that affect the occurrence of GDM. The early warning model for GDM based on these indicators has good predictive performance and clinical applicability, and can be used as an effective model for early prediction of GDM in clinical practice, as well as guiding clinical prevention and treatment efforts.

Objective:To construct an early warning model for gestational diabetes mellitus (GDM) based on baseline data, vitamin D (VitD) , and thyroid function status.Methods:A prospective study was conducted to select 126 patients with GDM (GDM group) and 126 pregnant women without GDM (control group) admitted to the Obstetrics Department of Qinhuangdao First Hospital from Jan. 2022 to May. 2024. The single-factor and multi-factor LASSO Logistic regression analysis was used to analyze the influencing factors of the risk of GDM. Based on the results of the multi-factor analysis, an early warning model for GDM was constructed, evaluated, and validated.Results:Age, pre-pregnancy body mass index (BMI) , family history of diabetes, thyroid function, low density lipoprotein (LDL-C) , triglyceride (TG) , VitD, fasting plasma glucose (FPG) , glycated hemoglobin (HbA1c) and blood uric acid were compared, and the differences were statistically significant ( P < 0.05) . LASSO Logistic regression analysis showed that family history of diabetes, hypothyroidism, pre-pregnancy BMI, TG, VitD, FPG, HbA1c and blood uric acid were independently correlated with the risk of GDM ( P < 0.05) . A GDM early warning model was constructed based on the results of multiple factors, with a C-index of 0.876, indicating good predictive performance; The model evaluation and validation results show that the model has good internal and external calibration, high consistency between predicted values and actual observed values, and good predictive value and discrimination in external data sets. Conclusions:Baseline data such as hypothyroidism, VitD, and pre-pregnancy BMI are independent factors that affect the occurrence of GDM. The early warning model for GDM based on these indicators has good predictive performance and clinical applicability, and can be used as an effective model for early prediction of GDM in clinical practice, as well as guiding clinical prevention and treatment efforts.