Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

This study explored the potential therapeutic targets and mechanisms of Danggui Shaoyao San(DSS) in the prevention and treatment of Alzheimer's disease(AD) through transcriptomics and metabolomics, combined with animal experiments. Fifty male C57BL/6J mice, aged seven weeks, were randomly divided into the following five groups: control, model, positive drug, low-dose DSS, and high-dose DSS groups. After the intervention, the Morris water maze was used to assess learning and memory abilities of mice, and Nissl staining and hematoxylin-eosin(HE) staining were performed to observe pathological changes in the hippocampal tissue. Transcriptomics and metabolomics were employed to sequence brain tissue and identify differential metabolites, analyzing key genes and metabolites related to disease progression. Reverse transcription-quantitative polymerase chain reaction(RT-qPCR) was employed to validate the expression of key genes. The Morris water maze results indicated that DSS significantly improved learning and cognitive function in scopolamine(SCOP)-induced model mice, with the high-dose DSS group showing the best results. Pathological staining showed that DSS effectively reduced hippocampal neuronal damage, increased Nissl body numbers, and reduced nuclear pyknosis and neuronal loss. Transcriptomics identified seven key genes, including neurexin 1(Nrxn1) and sodium voltage-gated channel α subunit 1(Scn1a), and metabolomics revealed 113 differential metabolites, all of which were closely associated with synaptic function, oxidative stress, and metabolic regulation. RT-qPCR experiments confirmed that the expression of these seven key genes was consistent with the transcriptomics results. This study suggests that DSS significantly improves learning and memory in SCOP model mice and alleviates hippocampal neuronal pathological damage. The mechanisms likely involve the modulation of synaptic function, reduction of oxidative stress, and metabolic balance, with these seven key genes serving as important targets for DSS in the treatment of AD.
Animals ; Alzheimer Disease/genetics* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Mice, Inbred C57BL ; Metabolomics ; Transcriptome/drug effects* ; Maze Learning/drug effects* ; Hippocampus/metabolism* ; Humans ; Disease Models, Animal ; Memory/drug effects*

The traditional detection methods for monitoring the biomass,protein,chlorophyll content and other key indicators in the growth of chlorella have some problems,including complicated operation,slow detection speed and difficult large-scale application.In this study,a fast and efficient monitoring method for the key indicators in the growth of chlorella was established using near infrared spectroscopy and chemometrics.Near-infrared spectroscopy was used to collect near-infrared spectra of chlorella algal fluid at different growth stages,and standard methods were used to detect the biomass,protein and chlorophyll contents of corresponding samples.A quantitative analysis model was established based on partial least squares regression(PLSR).To improve the prediction ability of the model,multiplicative scatter correction(MSC)was used to reduce the interference of scattering on the raw spectrum(RS),standard normal variate(SNV)was used to normalize the original spectral data to eliminate differences between samples,continuous wavelet transform(CWT)was used to obtain the key features of spectral data,the first derivative(1st)was used to enhance the differentiation of the original spectral features,and monte carlo-uninformative variable elimination(MC-UVE)and randomization test(RT)were used to screen the valid variables in the wavelength.By evaluating the prediction ability of different models,the quantitative analysis models of chlorella biomass,protein and chlorophyll content were finally determined.The results showed that the model based on 1st combined with RT spectra had better predictive ability for chlorella nutrient content detection,and the root mean square errors of prediction(RMSEP)and coefficients of determination(R2)were 0.041 and 0.933 for biomass,0.012 and 0.973 for protein,and 0.517 and 0.962 for chlorophyll,respectively.This model showed practical application value,and could realize the rapid and accurate detection of chlorella biomass,protein and chlorophyll content at the same time.

Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

Objective:To analyze the selection of internal fixation methods, surgical outcomes, and complications in patients with Neurofibromatosis Type 1 (NF1) accompanied by dystrophic lumbosacral deformities, and to evaluate the indications for pelvic fixation.Methods:A retrospective analysis was conducted on 21 patients with NF1 and associated dystrophic lumbosacral malformations (L 4 to sacrum) who underwent spinal deformity correction surgery at Nanjing Drum Tower Hospital from January 2009 to November 2022. The cohort included 11 males and 10 females, with a mean surgical age of 15.4±4.7 years (range, 7-24 years). Patients were divided into two groups based on whether pelvic fixation was performed: 10 patients in the non-pelvic fixation group (NP group) and 11 in the pelvic fixation group (P group), where fixation involved second sacral alar-iliac (S 2AI) screws or iliac screws. Radiographic parameters, including the Cobb angle of the lumbosacral fractional curve, main curve, and focal kyphosis, were compared preoperatively, postoperatively, and at the last follow-up. Results:The NP group had a significantly lower mean age (13.2±4.9 years) compared to the P group (17.5±3.5 years; t=2.287, P=0.034). Spinal instability (rotational subluxation or spondylolisthesis) due to dystrophic changes was observed in 2 patients in the NP group and 8 in the P group, a statistically significant difference (χ 2=5.838, P=0.030). In the P group, five patients underwent unilateral fixation and six underwent bilateral fixation. Implant types included 2 cases with iliac screws, 1 case with iliac screws plus S 2AI, and 8 cases with S 2AI screws alone. The utilization rate of hooks was significantly higher in the NP group (12.6%±11.5%) compared to the P group (3.5%±6.9%; t=2.230, P=0.038). The preoperative Cobb angle of the lumbosacral fractional curve was significantly smaller in the NP group (13.8°±9.0°) than in the P group (25.5°±13.9°; t=2.228, P=0.039). Postoperatively, the angles were corrected to 6.3°±6.1° and 6.4°±5.3°, respectively ( t=0.901, P=0.969), with correction rates of 57.3%±13.6% and 74.1%±17.8% ( t=2.369, P=0.029). At final follow-up, the angles remained stable (6.6°±6.6° vs. 6.3°±4.8°; t=0.116, P=0.909). For the main curve, preoperative Cobb angles were 52.5°±15.1° (NP) and 61.1°±16.9° (P; t=1.200, P=0.246), corrected to 31.3°±13.8° and 28.0°±8.4°, respectively ( t=0.646, P=0.526). Correction rates were 41.3%±13.0% in the NP group and 53.2%±11.6% in the P group ( t=2.206, P=0.037). At the final follow-up, these values were 32.4°±14.2° and 31.7°±10.3° ( t=0.133, P=0.896). Focal kyphosis, seen in 9 patients, was corrected from 19.7°±10.9° preoperatively to -13.6°±9.5° postoperatively, and remained at -14.1°±9.6° at the final follow-up ( F=33.547, P<0.001). Multi-rod systems were used in 6 cases (NP group) and 7 cases (P group), with no significant difference (χ 2=0.153, P=0.926). Two patients in the NP group developed coronal decompensation three years postoperatively, and one required revision surgery. In the P group, rod breakage occurred in 3 patients, two of whom underwent revision. Conclusions:Dystrophic rotational subluxation or spondylolisthesis of the lumbosacral spine is a primary indication for pelvic fixation in patients with NF1-associated deformities. However, complications related to internal fixation remain common. The combined use of a multi-rod screw-hook hybrid system, particularly when extending across the lumbosacral region, may reduce the risk of instrumentation failure.

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

Objective:To analyze the selection of internal fixation methods, surgical outcomes, and complications in patients with Neurofibromatosis Type 1 (NF1) accompanied by dystrophic lumbosacral deformities, and to evaluate the indications for pelvic fixation.Methods:A retrospective analysis was conducted on 21 patients with NF1 and associated dystrophic lumbosacral malformations (L 4 to sacrum) who underwent spinal deformity correction surgery at Nanjing Drum Tower Hospital from January 2009 to November 2022. The cohort included 11 males and 10 females, with a mean surgical age of 15.4±4.7 years (range, 7-24 years). Patients were divided into two groups based on whether pelvic fixation was performed: 10 patients in the non-pelvic fixation group (NP group) and 11 in the pelvic fixation group (P group), where fixation involved second sacral alar-iliac (S 2AI) screws or iliac screws. Radiographic parameters, including the Cobb angle of the lumbosacral fractional curve, main curve, and focal kyphosis, were compared preoperatively, postoperatively, and at the last follow-up. Results:The NP group had a significantly lower mean age (13.2±4.9 years) compared to the P group (17.5±3.5 years; t=2.287, P=0.034). Spinal instability (rotational subluxation or spondylolisthesis) due to dystrophic changes was observed in 2 patients in the NP group and 8 in the P group, a statistically significant difference (χ 2=5.838, P=0.030). In the P group, five patients underwent unilateral fixation and six underwent bilateral fixation. Implant types included 2 cases with iliac screws, 1 case with iliac screws plus S 2AI, and 8 cases with S 2AI screws alone. The utilization rate of hooks was significantly higher in the NP group (12.6%±11.5%) compared to the P group (3.5%±6.9%; t=2.230, P=0.038). The preoperative Cobb angle of the lumbosacral fractional curve was significantly smaller in the NP group (13.8°±9.0°) than in the P group (25.5°±13.9°; t=2.228, P=0.039). Postoperatively, the angles were corrected to 6.3°±6.1° and 6.4°±5.3°, respectively ( t=0.901, P=0.969), with correction rates of 57.3%±13.6% and 74.1%±17.8% ( t=2.369, P=0.029). At final follow-up, the angles remained stable (6.6°±6.6° vs. 6.3°±4.8°; t=0.116, P=0.909). For the main curve, preoperative Cobb angles were 52.5°±15.1° (NP) and 61.1°±16.9° (P; t=1.200, P=0.246), corrected to 31.3°±13.8° and 28.0°±8.4°, respectively ( t=0.646, P=0.526). Correction rates were 41.3%±13.0% in the NP group and 53.2%±11.6% in the P group ( t=2.206, P=0.037). At the final follow-up, these values were 32.4°±14.2° and 31.7°±10.3° ( t=0.133, P=0.896). Focal kyphosis, seen in 9 patients, was corrected from 19.7°±10.9° preoperatively to -13.6°±9.5° postoperatively, and remained at -14.1°±9.6° at the final follow-up ( F=33.547, P<0.001). Multi-rod systems were used in 6 cases (NP group) and 7 cases (P group), with no significant difference (χ 2=0.153, P=0.926). Two patients in the NP group developed coronal decompensation three years postoperatively, and one required revision surgery. In the P group, rod breakage occurred in 3 patients, two of whom underwent revision. Conclusions:Dystrophic rotational subluxation or spondylolisthesis of the lumbosacral spine is a primary indication for pelvic fixation in patients with NF1-associated deformities. However, complications related to internal fixation remain common. The combined use of a multi-rod screw-hook hybrid system, particularly when extending across the lumbosacral region, may reduce the risk of instrumentation failure.

Objective:To investigate the surgical outcomes of congenital cervicothoracic scoliosis (CTS) patients with Klippel-Feil syndrome (KFS) and prognostic characteristics across different subtypes.Methods:A retrospective case series study is conducted. Clinical and radiographic data of 41 CTS patients with KFS who underwent hemivertebra resection with instrumentation at Department of Orthopedic Surgery, Nanjing Drum Tower Hospital from March 2012 to September 2022, with a minimum follow-up of two years, were analyzed. The cohort included 16 males and 25 females, aged (8.6±3.7) years (range: 3 to 15 years). Preoperative, immediate postoperative, and final follow-up cervicothoracic deformity parameters were compared. Patients were classified into three subtypes based on preoperative coronal alignment: shoulder-neck type (type A, 16 cases), trunk-tilt type (type B, 16 cases), and thoracic compensatory curve type (type C, 9 cases). The severity of KFS and the incidence of distal curve progression among subtypes were analyzed. Repeated measurement data were compared by repeated measurement ANOVA, pairwise comparison within groups was performed by Bonferroni method, and categorical variables were compared by Chi-square test or Fisher exact probability method.Results:All patients underwent successful surgery. Twenty-one patients (53.7%) had cervical fusion of ≥3 segments, and 63.1% (82/130) of fused cervical segments were located proximally to the instrumentation. Postoperative cervicothoracic Cobb angle, head tilt, head shift, neck tilt, and clavicle angle significantly improved (all P<0.05). The proportion of patients with cervical fusion of ≥3 segments was higher in types B and C (17/25) than that in type A (5/16) ( χ2=5.299, P=0.021). Four type B (4/16) and 5 type C (5/9) patients underwent long-segment fixation, with stable coronal alignment postoperatively. The remaining patients received short-segment fixation. In the short-segment group, the incidence of distal curve progression was significantly higher in types B and C (8/16) than that in type A (1/16) ( P=0.015). Ultimately, 3 type B patients underwent revision surgery, and 1 type C patient met the criteria for revision (distal compensatory thoracic or lumbar curve>40°). Conclusions:CTS patients with KFS are predisposed to develop significant coronal malalignment involving trunk tilt (type B) or thoracic compensatory curve (type C) before surgery. Following hemivertebra resection with short-segment fixation, such patients have a high risk of distal curve progression and potential need for revision surgery.

Objective:To analyze the epidemiological characteristics and trends of preterm births in China using medical institution survey data, thereby providing epidemiological data support for perinatal care.Methods:Based on a nationwide sampling survey on healthcare quality data from 2017 to 2022, this study included 3 547, 4 436, 4 513, 4 535, 5 068, and 5 790 medical institutions, with 7 039 107, 8 926 441, 9 006 420, 7 051 984, 7 311 862, and 7 354 062 parturient women, respectively. The overall rates of preterm birth (live births at 28 to 36 +6 weeks of gestation/overall live births) and early preterm birth (live births at 28 to <34 weeks of gestation/overall live births) were calculated at the national level, across diverse provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, and for various levels of medical institutions. Generalized estimating equations were used to analyze the influence of maternal characteristics and medical institution characteristics on the rates of preterm birth and early preterm birth. Results:From 2017 to 2022, both the preterm birth rate and the early preterm birth rate in China showed a continuous increase. The preterm birth rate rose from 5.13% (363 036/7 079 454) in 2017 to 6.56% (487 150/7 424 734) in 2022, and the early preterm birth rate increased from 1.32% (118 021/8 971 870) in 2018 to 1.43% (106 157/7 424 734) in 2022. These rates showed an overall increasing trend in private, secondary public specialty, and general hospitals. In tertiary public specialty hospitals, these rates fluctuated around 8.0% and 2.0% from the year 2018, respectively, while in tertiary public general hospitals, these rates peaked in 2020 at 8.63% (205 570/2 381 523) and 2.19% (52 197/2 381 523), respectively. Compared with 2017, by 2022, the preterm birth rate had increased to varying degrees in all provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, except for Henan Province [preterm birth rate in 2017 was 6.22% (27 173/437 187); preterm birth rate in 2022 was 5.83% (37 604/645 104)]. As for the early preterm birth rate, it showed a decline in Fujian, Guangdong, Guangxi, Hainan, Henan, Jiangsu, Shanghai, Xinjiang, Yunnan, and Zhejiang, but had increased to varying degrees in all other provinces , autonomous regions, municipalities and Xinjiang Production and Construction Corps across the country. The grade and location of medical institutions both had a significant impact on the preterm birth rate and early preterm birth rate (both P<0.05). For every 1% increase in the proportions of multiparous women, women of advanced maternal age, or twin pregnancies, the preterm birth rate increased by 0.014%, 0.042%, and 0.763%, and the early preterm birth rate increased by 0.004%, 0.013%, and 0.239%, respectively (all P<0.05). Conclusion:From 2017 to 2022, the preterm birth rate and early preterm birth rate in China have continued to rise, reflecting the dual challenges of changing characteristics in the childbearing population and the uneven distribution of medical and health resources faced by maternal and child healthcare in China.

OBJECTIVE To establish a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things(IoT)and blockchain technology,and evaluate its implementation effects.METHODS A closed-loop management system for the whole-process traceability of outpatient drugs covering the entire drug lifecycle was designed using drug traceability codes integrated with IoT and blockchain technology.System effectiveness was evaluated from three dimensions:work efficiency,medication management quality and data safety by comparing indicators such as the acceptance time of incoming drugs and the number of collected drug traceability codes before the system implementation(October to December 2024)and after the system implementation(January to March 2025).RESULTS A closed-loop management system for the whole-process traceability of outpatient drugs,centered around the drug traceability code management system,was successfully established.The acceptance time for incoming drugs was shortened from(4.65±0.26)h before implementation to(0.34±0.08)h after implementation(P＜0.05).The number of collected drug traceability codes increased from 419 018 to 1 236 522,and the coverage rate of traceability codes rose from 28.36%to 89.88%(P＜0.05).The time pharmacists spent on drug expiry management per week decreased from(128.40±19.20)min to(0.56±0.13)min(P＜0.05),and the dispensing time for a single prescription(excluding a part of injections and repackaged drugs)was reduced from(143.25±17.67)s to(15.24±10.08)s(P＜0.05).The time for drug return was reduced from 129.90(122.32,137.00)s to 104.36(89.91,117.33)s(P＜0.05);the number of drug dispensing errors decreased from 2 cases to 0 cases.After the system was launched,there were no data security incidents in our outpatient pharmacy.CONCLUSIONS The constructed closed-loop management system for the whole-process traceability of outpatient drugs can significantly enhance drug traceability accuracy and drug management quality,improve pharmacist work efficiency,and reduce drug management risks,thus providing a feasible solution for the digital transformation of hospital pharmaceutical services.