Myosteatosis is one of the common complications in patients with end-stage liver disease, which is significantly associated with poor outcomes after liver transplantation. Currently, diagnostic criteria of myosteatosis have not been established, and CT is the most commonly used for diagnosis. The pathogenesis of myosteatosis is multifactorial, and the pathophysiological mechanisms linking it to end-stage liver disease are not fully understood. An increasing number of scholars have recognized that the severity of myosteatosis is closely related to its clinical consequences, but there are no effective treatment options available. This article reviews the pathophysiological mechanisms and diagnostic methods of myosteatosis, and its impact on the prognosis of liver transplant recipients, and discusses current treatment strategies to provide references for the perioperative management of liver transplant recipients.

This paper summarizes Professor WANG Yaoxian's experience in treating diabetic kidney disease （DKD） from the perspective of spleen and stomach based on the "internal heat leading to concretions" theory. It is considered that internal heat leading to concretions constitutes the core pathogenesis of DKD， with the spleen and stomach serving as the source of internal heat； therefore， treatment should be based on regulating the spleen and stomach. In the early stage of DKD， dysfunction of the spleen and stomach leads to the initial generation of internal heat. Common syndrome patterns include gastrointestinal heat accumulation and constrained heat in the liver and stomach， for which modified Gegen Qinlian Decoction （葛根芩连汤） can be used to clear heat bind while modified Dachaihu Decoction （大柴胡汤） is used to clear stomach and soothe liver， respectively. In the middle stage of DKD， weakness of the spleen and stomach results in the initial formation of concretions and conglomerations. Common patterns include spleen deficiency with prevalence of dampness and deficiency of both the spleen and kidney. Treatment emphasizes strengthening the spleen and resolving dampness， raising yang and boosting the stomach with modified Shengyang Yiwei Decoction （升阳益胃汤）， or supplementing spleen and boosting kidney， dissipating bind and dispe-ring concretions with modified Shenqi Dihuang Decoction （参芪地黄汤）， respectively. In the late stage of DKD， it is characterized by spleen and stomach depletion， and rampant accumulation of turbidity and toxin， and the common syndrome patterns are damp-turbidity obstruction in the middle jiao （焦） and spleen-kidney yang deficiency. Treatment aims to remove turbidity and harmonize the stomach， or to warm the kidney and strengthen the spleen while elimina-ting turbidity， using modified Dahuang Gancao Decoction（大黄甘草汤） and Jupi Zhuru Decoction （橘皮竹茹汤） or modified Baoyuan Decoction （保元汤） and Lizhong Decoction （理中汤）， respectively. In clinical practice， appropriate formulas and medications are flexibly selected according to specific syndromes.

ObjectiveTo analyze the risk factors for long-term cardiovascular events in patients undergoing long-term peritoneal dialysis （PD）， and to construct and validate a visual nomogram prediction model based on multiple parameters. MethodsA prospective cohort study was conducted， consecutively enrolling 248 maintenance PD patients （dialysis duration ≥ 3 months）. Demographic characteristics， clinical indicators， laboratory parameters， and echocardiographic indices （including left ventricular ejection fraction ［LVEF］， ratio of early diastolic mitral inflow velocity to early diastolic mitral annular velocity （E/e’）， etc.） were collected. The composite endpoint was defined as the occurrence of cardiovascular events or cardiovascular death， with non-cardiovascular death as the competing risk and loss to follow-up or the end of follow-up as censoring events. Fine-Gray competing risks model was used to screen independent predictors， based on which a nomogram model was constructed. Internal validation was performed using the Bootstrap method （1 000 resamplings）， and the concordance index （C-index） and time-dependent receiver operating characteristic （time-dependent ROC） curve were calculated to evaluate the model performance. ResultsWith a median follow-up of 29 months （interquartile range： 24–35 months）， 88 patients （35.48%） reached the composite endpoint， including 80 cases of cardiovascular events and 8 cases of cardiovascular death， and 4 patients died of non-cardiovascular causes. Multivariate Fine-Gray analysis revealed that age， diabetes mellitus， hemoglobin （HGB） level and E/e' ratio were independent influencing factors of the composite endpoint. Specifically， each 1-year increase in age was associated with a 3.0% increase in the risk of the composite endpoint （HR=1.030， P=0.006）； patients with diabetes mellitus had a 167.9% higher risk compared with non-diabetic patients （HR=2.679， P=0.007）； each 1g/L increase in HGB level contributed to a 1.5% reduction in the risk （HR=0.985， P=0.003）； and each 0.1 increase in E/e' ratio led to a 7.2% increase in the risk （HR=1.072， P=0.045）. The nomogram model had a C-index of 0.76 （95% CI： 0.698–0.820）， and the AUC of the time-dependent ROC curve reached 0.849 at 23 months of follow-up. ConclusionIncreased age， complicated with diabetes mellitus， decreased HGB， and elevated E/e' ratio are independent risk factors of long-term occurrence of cardiovascular events and cardiovascular death in patients undergoing long-term PD. The nomogram model constructed based on the above variables has good predictive value and clinical applicability， which can provide a reference for cardiovascular risk stratification and individualized intervention in long-term PD patients.

Secondary organizing pneumonia after infection is a pathological condition characterized by connective tissue filling and obstructing the alveoli and bronchioles, in which following an infection in the lung, the inflammatory response is not controlled in a timely and effective manner. The pathogenesis and treatment of this condition can be interpreted through the Sanjiao membranous tube theory and the concept of stagnation within the pulmonary micro-membrane. Sanjiao is conceptualized as a four-way membranous tube that internally connects with the zangfu organs and externally with the skin and muscles, enabling the circulation of energy and fluids throughout the body. It also maintains communication with the zangfu micro-membranes. Within the lungs, the pulmonary micro-membrane is distributed and connected to the upper jiao membranous tube, facilitating the movement of qi and fluids and supporting nutrient distribution. External pathogens may invade the Sanjiao membranous system through the external membranous tube, travel internally along this system, and transform into latent pathogens that settle within the pulmonary micro-membrane. These latent pathogens can subsequently transform into heat or dampness, leading to the depletion of lung qi and impairing the lung′s ability to regulate and transport body fluids. Consequently, fluids may seep into the pulmonary micro-membrane, where they are transformed into dampness, turbidity, and phlegm. The accumulation of damp-turbidity and phlegm obstructs the flow of qi and blood, resulting in blood stasis in the pulmonary collaterals. This stagnation occurring within both the pulmonary micro-membrane and its associated collaterals underlies the development of secondary organizing pneumonia after infection. In severe cases, this condition may progress to pulmonary interstitial fibrosis. The therapeutic approach emphasizes expelling latent pathogens, regulating and dredging the pulmonary micro-membrane, tonifying the healthy qi, and supporting health. Regulating and dredging the pulmonary micro-membrane is a crucial step, with a focus on promoting the flow of lung qi, resolving dampness and phlegm, and activating blood circulation to remove stasis.

Objective To investigate the status and influencing factors of overweight and obesity among primary and secondary school students in Pudong New Area of Shanghai, and to provide reference for formulating obesity-related intervention strategies for school-age children. Methods Stratified cluster random sampling method was used to conduct a questionnaire survey among primary and secondary school students in Pudong New Area. The overweight and obesity rate was calculated according to the Chinese health industry standard, and the risk factors of overweight and obesity in children and adolescents of different school age groups were analyzed by logistic regression. Results The overweight and obesity rate (25.3%) of primary and secondary school students in Pudong New Area exceeded the national average level. In primary school group, male, sleep time ≥ 8h per day, water intake ≥ 1200 mL per day, and the presence of mobile food stalls around the school were the risk factors for overweight and obesity. Daily extracurricular exercise time of 30 minutes to 2 hours was a protective factor. In junior high school group, male and electronic product use time of ≥ 2h per day were the risk factors for overweight and obesity. The daily extracurricular exercise time of 1 to 2 hours was a protective factor. In high school group, drinking water ≥1200mL per day was a risk factor for overweight and obesity. Eating breakfast every day for the past week was a protective factor. Conclusion Group intervention targeting overweight and obese school-age children, while changing corresponding unhealthy habits according to different school age groups, is crucial for weight loss in school-age children.

OBJECTIVE: To construct and validate a prognostic prediction model for children with sepsis using the Phoenix sepsis score (PSS). METHODS: A retrospective case series study was conducted to collect clinical data of children with sepsis admitted to the pediatric intensive care unit (PICU) of the Affiliated Hospital of Guizhou Medical University from January 2022 to April 2024. The data included general information, the worst values of laboratory indicators within the first 24 hours of PICU admission, PSS score, pediatric critical illness score (PCIS), and the survival status of the children within 30 days of admission. The statistically significant indicators in univariate Logistic regression analysis were included in multivariate Logistic regression analysis to screen the risk factors affecting the prognosis of children with sepsis and construct a nomogram model. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive performance of the model. The Bootstrap method was used to perform 1 000 repeated sampling internal verification and draw the calibration curve of the model. RESULTS: A total of 199 children with sepsis were included, of which 32 died and 167 survived 30 days after admission. In the univariate Logistic regression analysis, shock, white blood cell count (WBC), international normalized ratio (INR), lactic acid (Lac), PSS score, and PCIS score were identified as statistically significant predictors. These variables were then included in the multivariate Logistic regression analysis, which demonstrated that shock [odds ratio (OR) = 4.258, 95% confidence interval (95%CI) was 1.049-17.288], WBC (OR = 1.124, 95%CI was 1.052-1.210), and PSS score (OR = 1.977, 95%CI was 1.298-3.012) were independent risk factors for mortality in pediatric patients with sepsis (all P < 0.05). A nomogram model was constructed based on these three risk factors, with the model equation as follows: -4.809+1.449×shock+0.682×PSS score+0.117×WBC. The calibration curve results showed that the model's predictions were highly consistent with the actual observations. The ROC curve showed that when the Youden index of the prediction model was 0.792, the sensitivity and specificity were 90.6% and 88.6%, respectively, and the area under the curve (AUC) was 0.957 (95%CI was 0.930-0.984), which was higher than the AUC of shock, WBC, and PSS score alone (0.808, 0.667, 0.908, respectively). CONCLUSIONS Shock, WBC, and PSS score have demonstrated certain predictive value for mortality in children with sepsis. The nomogram model based on the above indicators has important clinical significance for evaluating the prognosis and guiding treatment of children with sepsis.
Humans ; Sepsis/diagnosis* ; Prognosis ; Retrospective Studies ; Logistic Models ; Intensive Care Units, Pediatric ; Nomograms ; Child ; ROC Curve ; Risk Factors ; Male ; Female ; Child, Preschool ; Infant

Alopecia areata （AA） is a common hair loss disorder， and the core pathogenesis is the internal gene-ration of turbid toxin caused by qi movement disorder in the liver， spleen， and kidney. Turbid toxin serves as both a pivotal etiological trigger and a pathological driver of disease exacerbation. Clinically， AA can be classified into four principal patterns， including liver constraint with spleen deficiency， internal accumulation of damp-heat， liver-kidney depletion， and qi-blood depletion. Therapeutic strategies prioritize clearing and resolving turbid toxin while regulating the qi movement of the liver， spleen， and kidney. Accordingly， different formulas were applied. Self-formulated Shugan Jianpi Huazhuo Formula （疏肝健脾化浊方） is suggested to drain dampness， resolve turbidity， and unblock qi movement. Self-formulated Sanjiao Fenxiao Jiedu Formula （三焦分消解毒方） can be used to clear heat， drain dampness and resolve toxin. Self-formulated Zishen Yanggan Toudu Decoction （滋肾养肝透毒汤） can clear and vent latent toxins， while Self-formulated Guiqi Shengfa Didu Formula （归芪生发涤毒方） is employed to tonify qi and blood， purge toxins， and regenerate vitality. By differentiating and treating AA based on the functional patterns of the liver， spleen， and kidney， this approach expands the application scope of the turbid toxin theory and provides valuable insights for treatment of AA.

Sensorineural hearing loss is one of the most common sensory disorders. In recent years, auditory neuropathy spectrum disorders caused by mutations in the OTOF gene have garnered significant attention worldwide, marking it as the first deafness gene with breakthroughs in gene therapy. Most patients with OTOF gene mutations present with stable, congenital, or prelingual onset of hearing loss, which can range from severe to profound and even complete hearing loss. However, a minority of patients may exhibit mild to moderate progressive hearing loss or temperature-sensitive hearing loss. This review further explores the genotype-phenotype relationship of the OTOF gene based on reported cases in China and abroad. Additionally, we analyze the characteristics of the natural history of OTOF gene mutations within the Chinese population. This study aims to provide a reference for the clinical diagnosis, evaluation, and treatment of hearing loss associated with OTOF gene mutations.
Humans ; Mutation ; Phenotype ; Genotype ; Hearing Loss, Sensorineural/genetics* ; Membrane Proteins/genetics*

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.