ObjectiveTo delineate imaging findings using an imaging platform and investigate the correlation between MRI characteristics of spinal cord atrophy and clinical diagnosis in children with spinal cord injury (SCI). MethodsImaging data of 150 children with SCI admitted to Beijing Bo'ai Hospital, China Rehabilitation Research Center, from January, 2002 to March, 2024 were collected and imported into the imaging platform. The anteroposterior and transverse diameters of the middle part of the spinal cord at the cross-section with the most severe atrophy were measured, and the relevant indicators of the previous normal spinal cord segment were measured as controls; the radiomic features were extracted. Clinical data of the children including gender, age, cause of injury, sensory level, motor level, spinal cord injury level, injury severity and disease course were collected. ResultsSpinal cord atrophy was identified in 81 cases (54%), among which 78 cases (96%) were American Spinal Injury Association Impairment Scale (AIS) grade A and 3 cases (4%) were AIS grade C. The upper boundary of the spinal cord atrophy site strongly correlated with the injury level, motor level and sensory level (r > 0.8, P < 0.001). ConclusionMore than half of children with SCI may develop secondary spinal cord atrophy, the vast majority of whom suffer from complete spinal cord injury; the upper boundary of spinal cord atrophy is correlated with the injury level.

Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

ObjectiveThis nested case-control study, based on the Shanghai Birth Cohort (SBC), aimed to explore the impact of early pregnancy exposure to organophosphorus flame retardants (OPFRs) on attention deficit hyperactive disorder (ADHD)-like symptoms in 4-year-old children, so as to provide epidemiological evidence regarding the health effects of emerging contaminant OPFRs in children. MethodsStrengths and Difficulties Questionnaire (SDQ) was used to assess ADHD like symptoms in 4-year-old children. Children with an SDQ hyperactivity subscale score ≥6 points were defined as cases, while those with a score <5 points were considered as controls. The case and control groups were matched at 1∶1 based on the child’s age (±6 months), sex, and parental or primary caregiver’s education level. A total of 105 cases and 112 controls were included eventually. Concentrations of eight OPFRs metabolites in early pregnancy urine samples were measured using ultra-high performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS), including di-phenyl phosphate (DPHP), di-m-cresylphosphate (DmCP), di-o-cresylphosphate (DoCP), di-p-cresylphosphate (DpCP), di-n-butyl phosphate (DnBP), di-iso-butyl phosphate (DiBP), bis(2-butoxyethyl) phosphate (BBOEP), and bis(2-ethylhexyl) phosphate (BEHP). Basic demographic information of mothers and children were collected through questionnaire surveys and medical records extraction. Binary logistic regression models were used to analyze the effect of individual OPFRs exposure during early pregnancy on ADHD-like symptoms, while a quantile g-computation (Qgcomp) regression model was employed to assess the effects of mixed OPFRs exposure (with detection rates >75%) on ADHD-like symptoms in 4-year-old children. ResultsIn this study, the detection rates of DPHP, DoCP, and the DmCP&DpCP in the urine of early pregnancy women were higher than 75%, with DPHP having the highest detection rate (86.18%). The median concentrations of DPHP were highest in both the case and control groups (0.396 μg·L^-1 and 0.305 μg·L^-1, respectively). Binary logistic regression analyses revealed that exposure to DPHP during early pregnancy increased the risk of ADHD-like symptoms in 4-year-old children (OR=1.262, 95%CI: 1.017‒1.565). The mixed exposure model analyses showed that early pregnancy co-exposure to OPFRs increased the risk of ADHD-like symptoms (OR=1.508, 95%CI: 1.012‒2.258), with DPHP being the primary contributor to the association. ConclusionEarly pregnancy exposure to DPHP is positively associated with an increased risk of ADHD-like symptoms in 4-year-old children. Additionally, DPHP contributed the most to the adverse effects of mixed OPFRs exposure on ADHD-like symptoms. However, these findings require further validation through other large-scale prospective cohort studies.

Objective To explore the predictive value of serum interleukin-17A(IL-17A),pentraxin-3(PTX3)and serum amyloid A(SAA)expression in Kawasaki disease(KD)children for non-response to in-travenous immunoglobulin(IVIG).Methods A total of 120 KD children who received IVIG treatment in the hospital from January 2022 to December 2024 were selected as the research objects.According to the response to IVIG treatment,they were divided into the sensitive group(n=90)and the non-response group(n=30).The clinical data of all children were collected.The predictive value of serum IL-17A,PTX3 and SAA expres-sion alone and in combination for non-response to IVIG treatment were explored by receiver operating charac-teristic(ROC)curve.The influencing factors of non-response to IVIG treatment in KD children were explored by multivariate Logistic regression.Results The levels of serum IL-17A,PTX3 and SAA in the non-response group were higher than those in the sensitive group(P＜0.05).The area under the curve(AUC)of serum IL-17A,PTX3 and SAA levels and their combined detection for predicting non-response to IVIG treatment were 0.704(95％CI:0.659-0.749),0.769(95％CI:0.719-0.819),0.813(95％CI:0.768-0.863),and 0.922(95％CI:0.877-0.967),respectively.The AUC of the combined detection of the three was larger than those of the individual detection of serum IL-17A,PTX3 and SAA(Zcombination-IL-17A=8.465,P＜0.001,Zcombination-PTX3=12.791,P＜0.001,Zcombination-SAA=9.984,P＜0.001).There were no statistically significant differences in age,body mass index(BMI),gender,KD type,fever duration before initial IVIG treatment,time from onset to ini-tial treatment,conjunctival congestion,changes in fingers and toes,rash,lymph node enlargement,platelet(PLT)count,hemoglobin(Hb)between the two groups(P＞0.05).The white blood cell(WBC)count,neu-trophil count(NEU),alanine aminotransferase(ALT),aspartate aminotransferase(AST)in the non-re-sponse group were higher than those in the sensitive group(P＜0.05).Multivariate Logistic regression analy-sis showed that serum IL-17A(OR=2.555,95％CI:1.529-4.270),serum PTX3(OR=3.473,95％CI:1.940-6.216),and serum SAA(OR=3.022,95％CI:1.823-5.011)were the risk factors of non-response to IVIG treatment(P＜0.05).Conclusion The combined detection of serum IL-17A,PTX3 and SAA levels can be used as important biological markers for predicting non-response to IVIG in KD children,providing a theoretical basis for early identification of high-risk children.

Cerebral sinovenous thrombosis (CSVT) in children is a rare but severe cerebrovascular disease with non-specific clinical manifestations and numerous etiology or risk factors. Anticoagulation is the main treatment for CSVT in children. This article reviews the epidemiology, clinical manifestations, etiology, risk factors, diagnosis, and treatment of CSVT in children.

Objective To analyze the medication patterns of Traditional Chinese Medicine(TCM)for high-risk human papilloma-virus(HR-HPV)infection using data mining and machine learning.Methods Clinical data from patients diagnosed with HR-HPV infection at Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine were collected and standardized through the hospital information system(HIS).A normalized clinical database was established.Python 3.11 was utilized as the primary programming language for herbal frequency analysis,feature engineering,association rule mining,and machine learning-based modeling for symptom-specific modification of herbal combinations.Results The study included 1650 patients,5585 visits and 4027 prescriptions,involving 332herbal medicines with 84 271 usage instances.High-frequency herbs included Atractylodes macrocephala(Bái Zhú)and Scutellaria barbata(Bàn Zhī Lián).Medicinal properties were predominantly warm,followed by neutral and cold;flavors were mainly sweet,then bitter and pungent.Herbs primarily targeted the liver meridian,followed by the lung and spleen meridians.Key therapeutic effects focused on tonify-ing deficiency and clearing heat,supplemented by activating blood circulation,resolving stasis,dispelling external pathogens,and promo-ting diuresis.Fifty-two herb pairs were identified,such as Rhodiola rosea(Hóng Jǐng Tiān)-Hedyotis diffusa(Bái Huā Shé Shé Cǎo),and a foundational formula derived from the top 10 high-frequency herbs was established,emphasizing"clearing heat,detoxif-ying,strengthening immunity,and consolidating the exterior."Conclusion HR-HPV infection is primarily caused by insufficient vital qi and invasion of pathogenic factors into the uterine cervix.The core pathogenesis involves dampness,heat,toxicity,stasis,and defi-ciency.Treatment principles include drying dampness,promoting diuresis,clearing heat,detoxifying,activating blood circulation,un-blocking collaterals,strengthening immunity,and consolidating the exterior.Particular emphasis is placed on using pungent-warm exteri-or-releasing herbs like Cinnamomum cassia(Guì Zhī)to guide meridians and expel pathogens.

Chronic fatigue syndrome (CFS) is a common problem in military maritime navigation, which greatly affects the safety of military missions. The use of animal models to carry out research on the mechanism of CFS and treatment measures is a common method. This paper systematically introduced the construction methods of CFS models such as single-factor and multi-factor models, summarized common evaluation indicators of CFS, including behavioral and biochemical indicators, and summed up key characteristics of CFS animal models in military oceanic navigation combined with common causes of CFS in military contexts, such as prolonged continuous work, high-intensity physical activity, sleep deprivation, psychological stress, and extreme environmental conditions. The key characteristics of the animal models included, but not limited to, chronic fatigue, sleep disorders, impaired cognitive function, psychological stress responses, and abnormal biochemical indicators. Furthermore, this article identified future research directions for CFS animal models in military oceanic navigation to enhance the application value of the models and provide robust support for the health protection and disease prevention of military personnel.

Objective:To investigate the current status and related factors of antiviral treatment for chronic hepatitis B virus (HBV) infection in rural communities in China.Methods:In 2023, 866 chronic HBV-infected individuals from rural communities in Zhangqiu District, Jinan City, were included in the study. Basic information, disease status and antiviral treatment conditions of the infected individuals were collected through questionnaires, specimen collection and laboratory tests. Univariate and multivariate logistic regression were used to analyze the related factors of the antiviral treatment rate of those who met the indications for hepatitis B antiviral treatment.Results:The median age ( Q1, Q3) of subjects was 56 (48, 66) years old, among which 436 (50.4%) were males. There were 712 (82.2%) individuals who met the indications for hepatitis B antiviral treatment, and 110 individuals received antiviral treatment with a rate of 15.5%. Multivariate logistic regression analysis showed that compared with males, families with an average monthly income per capita of <1 000 yuan, no alcohol consumption, no smoking, and a family history of HBV infection, females ( OR=4.66, 95% CI: 2.88-7.53), families with an average monthly income per capita of 1 000-1 999 yuan ( OR=1.64, 95% CI: 1.00-2.68) and ≥2 000 yuan ( OR=2.78, 95% CI: 1.54-5.03), alcohol consumption ( OR=6.42, 95% CI: 2.80-14.7), smoking ( OR=1.98, 95% CI: 1.04-3.77), and no family history of HBV infection ( OR=1.90, 95% CI: 1.16-3.09) had a lower antiviral treatment rate for chronic HBV infection. Conclusion:The antiviral treatment rate of chronic HBV-infected individuals in rural communities of Zhangqiu District, Jinan City is low, and the related factors are female, high monthly income per capita, alcohol consumption, smoking, and no family history of HBV infection.

Advance care planning helps older chronic disease patients and their families receive health care that meets their preferences. This article reviews the concept, assessment tools, influencing factors, and current status of interventions around advance care planning for older patients with chronic disease to inform medical and nursing staff.

Objective:To systematically evaluate the unmet needs and challenges of caregivers of cancer patients at home and clarify their unmet needs.Methods:A computerized search was conducted in PubMed, Web of Science, Embase, Cochrane Library, ProQuest, Scopus, CINAHL, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc for qualitative studies on the unmet needs and challenges of caregivers of cancer patients in the home environment. The search time limit was from the establishment of the databases to April 30, 2024. The Joanna Briggs Institute Centre for Evidence-Based Healthcare's quality assessment criteria for qualitative research were used to evaluate the quality of the literatures, and the aggregative integration method was used to summarize and integrate the research results.Results:A total of 17 articles were finally included, which were summarized into eight new categories. Further synthesis yielded three integrated results: caregivers in the home environment face multi-dimensional unmet needs and challenges related to patients; caregivers in the home environment face challenges and unmet needs in self-care; caregivers in the home environment are hesitant to obtain external support, and continuity and sustainability are hindered.Conclusions:Medical staff should accurately assess the unmet needs of caregivers of cancer patients at home, pay attention to their negative experiences, promote positive coping, optimize the patient-and family-centered cancer care model, and strengthen social support.