In clinical practice， it has been observed that pediatric viral pneumonia in the acute phase often present with pronounced heat manifestations， including high fever， flushed face， and rapid pulse， but heat-clearing medicinals alone frequently fails to achieve satisfactory clinical outcomes. Based on traditional Chinese medicine （TCM） theory， it is proposed that during the acute phase of the disease， the pathological process of "exuberant fire consuming qi" often occurs earlier than the appearance of clinical qi deficiency manifestations. Analysis in conjunction with modern viral immunology research findings suggests that the core pathological mechanism of viral infection lies in a vicious cycle of immune overactivation and immune function impairment， and this process shares certain similarities with the TCM pathogenesis of "exuberant fire consuming qi". Therefore， it is proposed that in the acute phase of pediatric viral pneumonia， if there is persistent high fever and poor response to antipyretics， heat-clearing medicinals should be administered in adequate doses to eliminate the "exuberant fire"， while sweet-warm qi-supplementing medicinals， such as huangqi （Radix Astragali） and Dangshen （Radix Codonopsis）， should be introduced early to reinforce healthy qi and help restore immune homeostasis. Meanwhile， as exuberant fire may damage yin， Huangjing （Rhizoma Polygonati） may be added to supplement both qi and yin， along with sweet-cool yin-nourishing medicinals， such as Beishashen （Radix Glehniae）， Maidong （Radix Ophiopogonis） and Tianhuafen （Radix Trichosanthis）， to moisten the yin fluids.

The historical development of endogenous wind （内风） is traced with time as the thread， based on the progression of factors such as syndromes， causes of disease， and pathogenesis. It is believed that the concept of wind syndrome originated in The Inner Canon of Yellow Emperor （《黄帝内经》）， encompassing both exogenous wind （外风） and endogenous wind syndrome. Over time， exogenous wind syndrome gradually evolved into mild syndromes and severe syndromes， while endogenous wind syndrome emerged from severe syndromes of exogenous wind. Endogenous wind syndrome has both syndrome and pathogenic attributes， and its theoretical system has gradually become more refined. Based on the theories of ancient and modern medical practitioners， and combining the holistic perspectives with Xiang （象） thinking， it is proposed that endogenous wind has both physiological and pathological distinctions. The physiological endogenous wind refers to the liver's moderate dispersing and regulating function， which helps to distribute qi （气）， blood， and body fluids， while pathological endogenous wind arises from abnormal liver dispersal. Therefore， in clinical practice， different treatment methods， such as tonifying， unblocking， and warming， can be applied according to the differentiation of deficiency and excess in the pathogenesis.

OBJECTIVES: To investigate the effect of curcumin on lipid metabolism in non-small cell lung cancer (NSCLC) and its molecular mechanism. METHODS: The inhibitory effect of curcumin (0-70 μmol/L) on proliferation of A549 and H1299 cells was assessed using MTT assay, and 20 and 40 μmol/L curcumin was used in the subsequent experiments. The effect of curcumin on lipid metabolism was evaluated using cellular uptake assay, wound healing assay, triglyceride (TG)/free fatty acid (NEFA) measurements, and Oil Red O staining. Western blotting was performed to detect the expressions of PGC-1α, PPAR-α, and HIF-1α in curcumin-treated cells. Network pharmacology was used to predict the metabolic pathways, and the results were validated by Western blotting. In a nude mouse model bearing A549 cell xenograft, the effects of curcumin (20 mg/kg) on tumor growth and lipid metabolism were assessed by measuring tumor weight and observing the changes in intracellular lipid droplets. RESULTS: Curcumin concentration-dependently inhibited the proliferation of A549 and H1299 cells and significantly reduced TG and NEFA levels and intracellular lipid droplets. Western blotting revealed that curcumin significantly upregulated PGC-1α and PPAR‑α expressions in the cells. KEGG pathway enrichment analysis predicted significant involvement of the HIF-1 signaling pathway in curcumin-treated NSCLC, suggesting a potential interaction between HIF-1α and PPAR‑α. Western blotting confirmed that curcumin downregulated the expression of HIF-1α. In the tumor-bearing mice, curcumin treatment caused significant reduction of the tumor weight and the number of lipid droplets in the tumor cells. CONCLUSIONS Curcumin inhibits NSCLC cell proliferation and lipid metabolism by downregulating the HIF-1α pathway.
Curcumin/pharmacology* ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Animals ; Lipid Metabolism/drug effects* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Lung Neoplasms/pathology* ; Mice, Nude ; Down-Regulation ; Mice ; Cell Proliferation/drug effects* ; Cell Line, Tumor ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha ; PPAR alpha/metabolism* ; Signal Transduction/drug effects* ; A549 Cells

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective:To evaluate the value of a combined model based on primary lesion 18F-fluorodeoxyglucose ( 18F-FDG) PET/CT radiomics for predicting lymph node metastasis in non-small cell lung cancer (NSCLC) . Methods:A retrospective analysis was conducted on the clinical data of 203 NSCLC patients who underwent pre-treatment PET/CT imaging at Nanjing Drum Tower Hospital from June 2013 to July 2023. Patients were randomly assigned to the training set ( n=142) and the validation set ( n=61) at a ratio of 7∶3. A predictive model was developed in the training set, and its predictive performance and clinical application value were assessed in both the training and validation sets. Traditional PET/CT parameters and PET/CT radiomics features of the primary lesion were obtained by 3D-slicer software. Least absolute shrinkage and selection operator (LASSO), random forest, and extreme gradient boosting were performed to extract features. Support vector machine was used to construct a radiomics score (Radscore). Univariate and multivariate logistic regression analysis was used to predict the influencing factors of lymph node metastasis in NSCLC patients and to establish models. Predictive performance of the models was evaluated by receiver operator characteristic (ROC) curves and clinical application value was assessed by calibration curves and decision curve analysis (DCA) . Results:Among 203 NSCLC patients, 116 had lymph node metastasis, with 64 cases in the training set and 52 cases in the validation set. Three complementary classical machine learning methods were used for feature screening, and finally 10 radiomics features were obtained. The optimal threshold for Radscore-PET was 0.43 and the optimal threshold for Radscore-CT was 0.39. Univariate analysis showed that, sex ( OR=0.48, 95% CI: 0.24-0.95, P=0.036), tumor marker levels ( OR=3.81, 95% CI: 1.84-7.91, P<0.001), long diameter of tumor ( OR=2.56, 95% CI: 1.27-5.16, P=0.009), short diameter of tumor ( OR=3.73, 95% CI: 1.75-7.92, P=0.001), vacuolar sign ( OR=0.32, 95% CI: 0.12-0.86, P=0.024), ring-like metabolism ( OR=3.67, 95% CI: 1.33-10.13, P=0.012), maximum standardized uptake value (SUV max) ( OR=6.57, 95% CI: 3.03-14.25, P<0.001), metabolic tumor volume (MTV) ( OR=2.91, 95% CI: 1.43-5.92, P=0.003), total lesion glycolysis (TLG) ( OR=4.23, 95% CI: 2.08-8.59, P<0.001), Radscore-PET ( OR=21.93, 95% CI: 9.04-53.20, P<0.001) and Radscore-CT ( OR=13.72, 95% CI: 6.12-30.76, P<0.001) were all influencing factors for predicting lymph node metastasis in NSCLC patients. Multivariate analysis showed that, tumor marker levels ( OR=2.55, 95% CI: 1.11-5.90, P=0.028), vacuolar sign ( OR=0.26, 95% CI: 0.08-0.83, P=0.023), SUV max ( OR=5.94, 95% CI: 1.99-17.75, P=0.001), Radscore-PET ( OR=25.51, 95% CI: 5.92-110.22, P<0.001), and Radscore-CT ( OR=8.68, 95% CI: 2.73-27.61, P<0.001) were independent influencing factors for predicting lymph node metastasis in patients with NSCLC. Based on the above independent influencing factors, models were constructed: the traditional model (tumor marker levels, vacuolar sign, SUV max), the PET model (SUV max, Radscore-PET), the CT model (vacuolar sign, Radscore-CT), and the combined model (tumor marker levels, vacuolar sign, SUV max, Radscore-PET, Radscore-CT). ROC curve analysis showed that, the area under curve (AUC) of the traditional, PET, CT, and combined models in the training set were 0.75 (95% CI: 0.67-0.82), 0.90 (95% CI: 0.84-0.95), 0.85 (95% CI: 0.78-0.90), and 0.94 (95% CI: 0.88-0.97), respectively. The predictive value of the combined model was higher than that of the traditional model ( Z=5.01, P<0.001), the PET model ( Z=1.99, P=0.047), and the CT model ( Z=3.25, P=0.001). In the validation set, the AUCs for the traditional model, PET model, CT model, and combined model were 0.65 (95% CI: 0.52-0.77), 0.86 (95% CI: 0.74-0.93), 0.85 (95% CI: 0.73-0.93), and 0.90 (95% CI: 0.80-0.96), respectively. The predictive value of the combined model was superior to that of the traditional model ( Z=3.23, P=0.001). The sensitivity and specificity of the combined model in the training set were 84.37% and 91.03%, while in the validation set, the sensitivity and specificity were 82.61% and 94.74%, respectively. Calibration curves showed a good agreement between the predicted and actual probabilities in both the training and validation sets. DCA showed that the combined models had good discriminative ability in both the training and validation sets. Conclusions:Tumor marker levels, vacuolar sign, SUV max, Radscore-PET, and Radscore-CT are all independent influencing factors for predicting lymph node metastasis in patients with NSCLC. The combined model based on these factors demonstrates excellent predictive performance and clinical application value for predicting lymph node metastasis in NSCLC.

Objective:To evaluate the prognostic value of 18F-fluorodeoxyglucose ( 18F-FDG) PET/CT metabolic parameters in small cell lung cancer (SCLC) . Methods:A retrospective analysis was conducted on the clinical and imaging data of 156 SCLC patients, who underwent 18F-FDG PET/CT imaging and were diagnosed by histopathological examination at Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School from September 2013 to February 2024. The metabolic tumor volume (MTV), total lesion glycolysis (TLG), linear regression slope, area under the curve of cumulative standard uptake value (SUV) volume histogram (AUC-CSH), and coefficient of variation (CV) were calculated using LIFEx software with different SUV thresholds. Univariate and multivariate analyses were performed using Cox proportional hazards model. Patient stratification was based on the critical values determined by receiver operator characteristic (ROC) curve analysis. The survival curve was plotted using the Kaplan-Meier method and log-rank test was performed. Results:Univariate analysis showed that MTV 40% ( HR=2.91, 95% CI: 1.55-5.47, P=0.001), MTV 60% ( HR=2.31, 95% CI: 1.29-4.17, P=0.005), TLG 40% ( HR=2.07, 95% CI: 1.19-3.60, P=0.010), linear regression slope ( HR=0.45, 95% CI: 0.26-0.79, P=0.005), and CV 40% ( HR=0.27, 95% CI: 0.08-0.84, P=0.024) were factors affecting progression-free survival (PFS) in SCLC patients. MTV 40% ( HR=1.98, 95% CI: 1.22-3.22, P=0.005), MTV 60% ( HR=1.80, 95% CI: 1.12-2.88, P=0.015), MTV 80% ( HR=1.71, 95% CI: 1.08-2.74, P=0.024), TLG 40% ( HR=3.68, 95% CI: 1.59-8.49, P=0.002), linear regression slope ( HR=0.49, 95% CI: 0.30-0.80, P=0.004), and AUC-CSH 80% ( HR=0.44, 95% CI: 0.23-0.84, P=0.013) were found to be factors affecting overall survival (OS) in SCLC patients. Multivariate analysis revealed that MTV 40% ( HR=4.76, 95% CI: 1.11-20.50, P=0.036) was an independent factor influencing PFS, and TLG 40% ( HR=3.19, 95% CI: 1.02-9.92, P=0.046) was an independent factor influencing OS in SCLC patients. ROC curve analysis identified the optimal cutoff value for MTV 40% in predicting PFS as 5.5cm 3 and the optimal cutoff value for TLG 40% in predicting OS as 41.5 g in SCLC patients. Survival analysis showed that patients with MTV 40%≤5.5 cm 3 ( n=33) had a median PFS that was not reached, while patients with MTV 40%>5.5 cm 3 ( n=123) had a median PFS of 10.3 months, with a statistically significant difference ( χ2=12.09, P=0.001). For patients with TLG 40%≤41.5 g ( n=35), the median OS was not reached, whereas for TLG 40%>41.5 g ( n=121), the median OS was 31.6 months, with a statistically significant difference ( χ2=10.55, P=0.001) . Conclusions:The 18F-FDG PET/CT metabolic parameter MTV 40% is an independent factor influencing PFS, while TLG 40% is an independent factor influencing OS in SCLC patients. The above two parameters may serve as indicators for assessing the prognosis of SCLC patients.

Objective To explore the application effect of multimodal analgesia combined with goal-di-rected fluid therapy based on enhanced recovery after surgery(ERAS)in the anesthesia management of pa-tients undergoing orthopedic robot-assisted pedicle internal fixation.Methods Eighty patients with lumbar fractures who underwent robot-assisted surgery in Huai'an 82 Hospital from February 2024 to February 2025 were selected as the research objects and divided into the ERAS group and the control group according to the random number table method,with 40 cases in each group.The ERAS group received multimodal analgesia combined with goal-directed fluid therapy based on ERAS,while the control group adopted the traditional an-esthesia protocol.The hemodynamic indicators[heart rate,mean arterial pressure(MAP)]before the start of anesthesia(T0),immediately before the operation(T1),at the end of the operation(T2),and at the time of postoperative recovery(T3),as well as the IL-6 levels at T0,24 hours after the operation(T4),48 hours after the operation(T5),and 72 hours after the operation(T6)were compared between the two groups.Recorded the postoperative recovery time,visual analogue scale(VAS)score,incidence of complications and hospital stay,as well as perioperative infusion management parameters[total infusion volume,positive fluid balance volume,the compliance rate of stroke volume variation(SVV),etc.].Results Compared with the control group,the proportion of MAP fluctuations≤±10%(87.5%vs.62.5%),and the proportion of basal heart rate increase≤20%(95.0%vs.70.0%)in the ERAS group were higher than those in the control group(P<0.05).At T4,the IL-6 levels in both groups were the highest,while the IL-6 levels from T4 to T6 in the ERAS group were lower than those in the control group(P<0.05).Compared with control group,wake times[(18.5±3.2)min vs.(25.1±4.5)min],bed time for the first time[(8.2±2.1)h vs.(20.5±4.3)h],the length of time[(4.2±1.1)d vs.(6.5±1.3)d]in the ERAS group were shorter,24-hour resting VAS score(2.1±0.6 vs.3.8±0.9)and the incidence of complications(20.0%vs.57.5%)were lower,the total infusion volume[(1 850±220)mL vs.(2 550±310)mL],the amount of colloid solution[(620±95)mL vs.(850±120)mL],and the positive balance volume of liquid[(320±90)mL vs.(1 120±210)mL]were less,the intraoperative urine volume[(0.55±0.08)mL·kg-1·h-1 vs.(0.30±0.10)mL·kg-1·h-1]was more,the differences were statistically significant(P<0.05).The compliance rate of SVV in the ERAS group was 95.0%(38/40).Conclusion Multimodal analgesia combined with goal-directed fluid therapy based on ERAS can effectively stabilize the perioperative physiological state of patients undergoing robot-assisted spinal sur-gery,accelerate postoperative functional recovery and reduce complications.

Objective:To screen the risk factors for non-complete procedural success of transvenous lead extraction(TLE),and to establish a prediction model based on the results and evaluate its predictive efficacy.Methods:A total of 1 029 patients who underwent TLE in Peking University People's Hospital from January 2014 to December 2020 were enrolled and divided into training set(n=720)and validation set(n=309)using the random number method.There were no statistically significant differences among the variables in the training set and the validation set.The training set was divided into the complete procedural success(CPS)group(n=664)and the non-CPS group(n=56).Univariate analysis was employed to screen the relevant indicators of non-CPS,followed by binary logistic regression analysis to identify the independent risk factors of non-CPS.Subsequently,a predictive model and nomogram were constructed.The receiver operating characteristic(ROC)curve analysis was applied to evaluate the ability of the model to distinguish non-CPS from TLE patients in the training set and validation set.The Hosmer-Lemeshow goodness-of-fit test was used to assess the consistency between the predicted risk and the actual risk of the model.Results:Univariate analysis showed that the relevant variables with P<0.1 including the age at the first implantation of the lead,the number of leads extracted,the oldest dwell time of lead extracted,the presence of abandoned leads,non-manual traction for lead extracted,the number of extracted leads>3,bilateral lead implantation,and the indications for TLE.The binary logistic regression analysis revealed that the presence of abandoned leads(OR=2.252,95%CI:1.111-4.564,P=0.024),the oldest dwell time of the extracted leads(OR=1.009,95%CI:1.005-1.012,P<0.001),and the number of extracted leads>3(OR=3.177,95%CI:1.306-7.733,P=0.011)were independent risk factors for non-CPS of TLE.ROC curve analysis revealed that the area under the ROC curve(AUC)of the training set was 0.80(95%CI:0.75-0.85,P<0.001).The AUC of the validation set was 0.81(95%CI:0.72-0.90,P<0.001).The Hosmer-Lemeshow goodness-of-fit test indicated that the P values of both the training set(P=0.089)and the validation set(P=0.136)were greater than 0.05.Conclusions:The presence of abandoned leads,the oldest dwell time of lead extracted,and the number of extracted leads>3 are independent risk factors for non-CPS in patients undergoing TLE.The nomogram model based on the above factors has satisfactory predictive ability.

Objective:To evaluate the incidence and frequency of inappropriate shocks caused by defibrillation lead failure in patients with implantable cardioverter-defibrillators (ICD), and to explore methods for reducing the incidence and frequency of such inappropriate shocks.Methods:This was a single-center retrospective study involving patients treated for defibrillation lead failures at Peking University People′s Hospital between March 2015 and May 2024. Patients were divided into an alarm function group and a non-alarm function group based on whether their ICDs were equipped with lead alarm functions. Clinical data, lead data, and the incidence and frequency of inappropriate shocks were collected and compared between the two groups. A multivariate logistic regression model was used to analyze factors influencing the incidence and frequency of inappropriate ICD shocks. Kaplan-Meier survival curves were plotted to compare the trends in the incidence and frequency of inappropriate shocks over time since ICD implantation between the two groups.Results:A total of 59 patients were enrolled, with a age of (56.7±15.2) years, including 42 males (71%). The lifespan of the failed leads in the entire cohort was 64.0 (36.0, 96.0) months. There were 26 patients in the alarm function group and 33 in the non-alarm function group. The most common manifestations of lead failure were oversensing (85%, 50/59) and abnormal pacing impedance (42%, 25/59). A total of 33 patients (56%, 33/59) experienced inappropriate shock therapy, with an average of 27.3 shocks per patient. The frequency of inappropriate ICD shocks in the non-alarm function group was higher than that in the alarm function group (25.0 (10.0, 60.0) times/year vs. 5.0 (2.8, 7.8) times/year, P=0.001). Multivariate logistic regression analysis showed that oversensing ( OR=2.057, 95% CI 1.125-6.763, P=0.019) was an influencing factor for incidence of inappropriate shocks, while the lead alert function ( OR=0.062, 95% CI 0.005-0.719, P=0.001) was a factor influencing the frequency of inappropriate shocks. Kaplan-Meier survival analysis revealed that the incidence and frequency of inappropriate shocks increased with the duration of ICD implantation in both groups, but the differences were not statistically significant (incidence: log-rank P=0.908; frequency: log-rank P=0.767). Conclusion:The lead alert function can reduce the frequency of inappropriate shocks caused by lead failure.

Objective To investigate the effects of goal-directed fluid therapy(GDFT)combined with ultrasound-guided erector spinae plane block(ESPB)on perioperative stress response and postoperative recovery in patients undergoing robot-assisted pedicle screw fixation surgery.Methods Eighty patients scheduled for elec-tive surgery were randomly divided into two groups:control(general anesthesia+conventional fluid management,n=40)and intervention(general anesthesia+GDFT+ESPB,n=40).Heart rate(HR),mean arterial pressure(MAP),serum cortisol(Cor),norepinephrine(NE),blood glucose(GLU)levels,and resting VAS scores were measured and compared between the two groups preoperatively(T?),at screw placement(T?),at end of surgery(T?),30 minutes after extubation(T?),at 24 hours(T?),and 48 hours(T?)postoperatively.Intraoperative fluid volume,remifentanil consumption,postoperative rescue analgesia frequency,time to first ambulation,length of stay,and complications(agitation,nausea and vomiting,respiratory depression)were recorded.Results There were no differences in baseline(T?)indicators between the two groups(P>0.05).The intervention group exhibited significantly lower levels of HR,MAP,Cor,NE,and GLU at T?,T?,and T? compared with the control group(P<0.05),with Cor,NE,and GLU reduced by>30%at T?(P<0.05).Intraoperative fluid volume and remi-fentanil dosage were significantly reduced(both P<0.05).VAS scores and the number of rescue analgesia requests were lower at T?,T?,and T?(P<0.01).Time to first ambulation time and postoperative hospital stay were shortened(both P<0.01).The incidence of agitation,nausea/vomiting and overall complications was lower in the interven-tion group(P<0.05),whereas respiratory depression rates did not differ(P>0.05).Conclusion GDFT plus ESPB can effectively suppress perioperative stress response in robot-assisted spinal surgery,significantly reduce intraoperative opioid dosage and fluid volume,optimize postoperative analgesia,enhance recovery,and lower complication risk.This combination provides an effective ERAS strategy for improving surgical safety and recovery quality.