OBJECTIVE To provide a reference for improving postoperative pain management outcomes， accelerating patient recovery， and ensuring the safe use of opioids. METHODS A prospective cohort study was conducted， in which patients undergoing elective hip or knee replacement in the Department of Orthopedics at Baoding No.1 Central Hospital （hereinafter referred to as “our hospital”） from November 2021 to November 2023 were randomly divided into control group and observation group using a random number table， with 178 cases in each group. Patients in the control group received postoperative pain management implemented by medical staff according to the clinical pathway for perioperative pain treatment. Patients in the observation group， under the enhanced recovery after surgery model， received postoperative pain management through a multidisciplinary collaborative team including clinical pharmacists. The occurrence and resolution of opioid-related drug-related problems （DRPs） were compared between the two groups， and the DRPs were classified and analyzed using the Pharmaceutical Care Network Europe Classification System （V9.1）. Postoperative pain scores， sleep quality scores， length of hospital stay， and incidence of adverse reactions were compared between the two groups. RESULTS A total of 162 opioid-related DRPs were identified in 2 groups， with 58 in the observation group （identified 52 patients） and 104 in the control group （identified 91 patients）， showing a statistically significant difference （P＜0.05）. The primary issue involved in the DRPs for both groups was therapeutic effectiveness. Clinical pharmacists in the observation group conducted 88 interventions for the identified 58 opioid-related DRPs， achieving an overall intervention success rate of 84.5%. The pain scores and sleep quality scores from postoperative day 1 to 7， the length of hospitalization for hip replacement， the average hospitalization duration， and the total incidence of opioid-related adverse reactions were all significantly lower or shorter in the observation group compared to the control group （P＜0.05）. Furthermore， the main time effect， time-group interaction effect for pain scores and sleep quality scores were statistically significant in both groups （P＜0.05）， indicating that the control group exhibited greater reductions in these scores and observation group exhibited more rapid improvements. CONCLUSIONS The full involvement of clinical pharmacists in postoperative pain management and opioid medication administration in the orthopedics department enables timely identification and intervention of DRPs， enhance postoperative analgesia efficacy， decrease adverse drug reactions， shorten hospital stays， and accelerate patient recovery.

Objective To analyze the clinical features of chronic obstructive pulmonary disease (COPD) patients with heart failure (HF) in Nanjing and explore the influencing factors. Methods A total of 773 COPD inpatients were selected from January 2021 to January 2024 in Nanjing Combined Hospital of Traditional Chinese and Western Medicine, Nanjing Qixia District Hospital, Nanjing Lishui District People's Hospital, Nanjing Pukou District Hospital of Traditional Chinese Medicine and Nanjing First Hospital., and were divided into 2 groups according to the presence or absence of combined HF. The general data and medical records of the two groups were compared, the clinical characteristics of COPD patients with HF were summarized, and the influencing factors of COPD patients with HF were analyzed by multivariate logistic regression. Results Among the 242 patients (31.31%) with COPD had HF, chronic paroxysmal dyspnea was the most common first symptom, 169 patients (69.83%) had left heart failure, 63 patients (30.17%) were diagnosed as right heart failure or global heart failure , 17 patients (7.02%) had myocardial infarction. Multivariate logistic regression analysis showed that the risk of HF was 1.678 times and 1.691times higher in COPD groups ≥ 50 years old and male COPD groups than in < 50 years old and female groups, respectively; the risk of HF was 1.491 times higher in COPD groups engaged in physical work than in physical work groups; the risk of HF was 1.447 times and 1.580 times higher in COPD groups with hypertension and coronary heart disease than in COPD groups without hypertension and coronary heart disease, respectively; the risk of HF was 1.859 times higher in COPD groups smoking>400 vial/year than in COPD groups≤400 vial/ year; the risk of HF was 1.757 times higher in COPD groups with acute exacerbation frequency≥2 times/year than in COPD groups<2 times/year; the above differences were statistically significant (P<0.05). Conclusion Attention should be paid to elderly, male and heavy physical work group of COPD patients. Active treatment of hypertension and coronary heart disease, effective tobacco control and reduction of the frequency of acute exacerbation are effective ways to reduce the risk of HF in COPD patients in Nanjing.

BackgroundSchizophrenia is a highly heterogeneous disease with different clinical subtypes. Artificial intelligence technology represented by deep learning models has provided considerable benefits for the electroencephalogram （EEG）-based schizophrenia diagnosis， treatment and research， however， to date little research has been conducted regarding any of these benefits among Chinese schizophrenic patients. ObjectiveTo investigate the application of deep learning techniques utilizing EEG parameters for the diagnosis of first-episode schizophrenia and grading of EEG abnormalities in patients， with the aim of contributing to improved clinical diagnosis and treatment strategies for the disorder. MethodsFrom January 2020 to January 2023， a total of 130 patients with first-episode schizophrenia who met the diagnostic criteria of International Classification of Diseases， tenth edition （ICD-10）， and attended at the Third People's Hospital of Fuyang， along with 150 health checkup examinees， were enrolled. All of them underwent EEG examination. An optimized long short-term memory （LSTM） deep learning model was developed utilizing EEG signals. Ten-fold cross-validation method was employed to evaluate the model's performance. The dataset was then split into two components： a training set （90%） for LSTM model development and a test set （10%） for validation. The accuracy， recall rate， precision， F1-score， schizophrenia diagnosis and EEG abnormality grading were used as evaluation indicators， and the results of the proposed model were compared to the assessments made by experienced psychiatrists. ResultsFor schizophrenia diagnosis， the modeling group achieved the following performance metrics： precision （94.40±3.03）%， recall rate （94.30±3.23）%， accuracy （94.60±2.22）%， and F1-score （94.20±2.20）%. In the validation group， the corresponding metrics were precision （90.90±2.85）%， recall rate （92.20±1.14）%， accuracy （92.20±1.69）%， and F1-score （91.50±1.78）%. Statistical analysis revealed no significant differences between the LSTM diagnostic model and the experienced psychiatrists in terms of precision， recall rate， accuracy， and F1-score for schizophrenia diagnosis （χ²=1.500， 0.750， 2.722， 1.056， P>0.05）. The modeling group demonstrated an accuracy rate of （91.71±1.73）% in grading EEG abnormalities. For Grade 1 abnormalities， the modeling group reported a precision of （96.40±2.39）%， a recall rate of （94.77±1.40）%， and an F1-score of （95.55±1.14）%. In the case of Grade 2 abnormalities， the precision was （85.89±2.04）%， the recall rate was （88.10±6.18）%， and the F1-score was （87.06±3.12）%. For the more severe Grade 3 abnormalities， the modeling group's precision was （79.61±7.33）%， the recall rate was （81.79±9.87）%， and the F1-score was （80.41±6.79）%. Additionally， the validation group exhibited an accuracy rate of （85.61±6.16）%. The precision， recall rate， and F1-score for Grade 1 abnormalities were （91.43±6.25）%， （92.64±9.65）% and （91.56±4.83）%， respectively. For Grade 2 abnormalities， these metrics were （71.17±19.02）%， （77.64±17.24）% and （71.88±11.33）%. In the case of Grade 3 abnormalities， the precision was （90.00±21.08）%， the recall rate was （80.00±25.82）%， and the F1-score was （81.67±19.95）%. There was no significant difference in the accuracy， recall， accuracy and F1 value between LSTM model and senior doctors in evaluating the abnormal degree of EEG in schizophrenia （χ²=0.098， 0.036， 0.020， 0.336， P>0.05）. The LSTM model takes less time to diagnose schizophrenia and EEG abnormalities than senior doctors， and the differences were statistically significant （t=57.147， 43.104， P<0.01）. ConclusionThe study utilizes an EEG-based LSTM deep learning model for diagnosing first-episode schizophrenia and grading EEG abnormalities， and the model not only matches the performance of experienced psychiatrists but also significantly reduces the time required for diagnosis.

OBJECTIVE To promote the application of drones in emergency rescue and related fields， expand “low-altitude+ medical” rescue services， and advance the standardization of “low-altitude+medical” distribution services. METHODS The Consensus on Low-altitude Transport and Delivery Services for Emergency Medicines via Drones （2025 Edition） （hereinafter referred to as the Consensus） was jointly initiated by the Division of Therapeutic Drug Monitoring， Chinese Pharmacological Society and the Expert Committee on Precision Medication of the Guangdong Pharmaceutical Association. Guangzhou Red Cross Hospital served as the leading unit， organizing 53 multidisciplinary experts nationwide to participate in drafting and reviewing. A nominal group technique was employed to discuss and finalize the consensus outline， resulting in a preliminary draft. Delphi method was employed， and 11 external review experts were invited to conduct the evaluation. After the experts’ opinions were analyzed and integrated， the Consensus was finalized. RESULTS & CONCLUSIONS The finalized Consensus includes its purpose， principles， and applicable scenarios， basic requirements， and operational procedures for low-altitude transport and delivery of emergency medications； distribution requirements and precautions for controlled substances， fragile medications， and temperature-sensitive medications； and recommendations for emergency medications supplies suitable for the low-altitude transportation and distribution. The release of this Consensus is expected to provide guidance and support for the standardization of “low-altitude+medical” distribution services and the application of low-altitude economy in the healthcare sector.

China is a high-incidence region for gastric cancer globally. The disease is characterized by a high morbidity rate, low early diagnostic rate, and poor long-term outcomes, imposing a significant burden on both patients and society. Therefore, exploring the pathogenesis of gastric cancer, developing novel therapeutic strategies, and identifying new drug targets is of great importance. Telomerase expression is broadly associated with cancer cell targeting, and its up-regulation is one of the key factors driving the initiation and progression of gastric cancer. Additionally, telomerase is intricately involved in the regulation of autophagy and autophagy-associated cell death. While autophagy can induce chemoresistance, excessive autophagy may lead to cell death, which also constitutes one of the mechanisms of chemotherapy. Telomerase not only directly contributes to gastric cancer pathogenesis but also indirectly influences its development and treatment by modulating autophagy and autophagic cell death. Therefore, telomerase holds promise as a novel therapeutic target in gastric cancer.
Humans ; Stomach Neoplasms/genetics* ; Telomerase/genetics* ; Autophagy/physiology*

Objective:To observe the clinical efficacy of neck Gongfa exercise in intervening people at high risk for cervical spondylosis. Methods:A total of 212 participants from 8 companies at high risk for cervical spondylosis were divided into two groups using the random number table method,with 105 participants in the control group receiving health education and 107 participants in the trial group receiving an additional neck Gongfa exercise.After successive 3-month interventions,the two groups were compared in terms of cervical soft tissue tension and neck disability index(NDI)score.The incidence of cervical spondylosis was observed 3 months later. Results:During the process,10 cases dropped out in the trial group,and the control group had 9 dropout cases.After the intervention,the cervical soft tissue tension value and NDI score improved in both groups(P<0.05)and showed significant differences between the two groups(P<0.05).At the 3-month follow-up,the trial group had a lower incidence rate of cervical spondylosis than the control group(P<0.05). Conclusion:For people at high risk for cervical spondylosis,neck Gongfa exercise can effectively improve cervical soft tissue tension and motor dysfunction and lower the incidence of cervical spondylosis in the short run.

Objective To explore the value of serum leucine-rich-alpha-2-glycoprotein-1(LRG1)and CC motif chemokine ligand 19(CCL19)detecting levels in children with henoch-schonlein purpura nephritis(HSPN)for early clinical diagnosis and prognosis.Methods A sum of 108 children with HSPN who were treated at Handan Central Hospital from May 2021 to May 2023 were selected as the study subjects,meantime,72 healthy children were as the control group.The levels of LRG1,CCL19,IgM,IgA,and IgG in serum were detected.Logistic regression method was applied to analyze the influencing factors of HSPN,receiver operating characteristic was applied to evaluate the clinical value of LRG1 and CCL19 levels for early diagnosis of HSPN in children.The differences in serum LRG1 and CCL19 levels among children with HSPN in the acute,chronic,and recovery stages were analyzed,Spearman correlation was applied to analyze and explore the correlation between serum LRG1,CCL19 levels and the duration of HSPN in children.Results The levels of LRG1(184.36±23.64 ng/L)and CCL19(463.19±89.46 ng/L)in the HSPN group were obviously higher than those in the control group(149.42±18.29 ng/L,208.83±52.97 ng/L),and the differences were significant(t=10.600,21.710,all P＜0.05).The Logistic regression results showed that LRG1[OR(95％CI):1.429(1.057～1.933)]and CCL19[OR(95％CI):1.842(1.216～2.791)]were both influencing factors for the occurrence of HSPN in children(P＜0.05).According to the analysis of receiver operating characteristic(ROC),the areas under the curve(AUC)of serum LRG1,CCL19 and their combined diagnosis of HSPN in children were 0.868,0.881 and 0.952,respectively,and their combined application in clinical diagnosis was better than that of serum LRG1 and CCL19 in their separate diagnosis(Z=3.147,3.487,all P=0.001).The levels of LRG1(203.49±24.89 ng/L,177.56±23.19 ng/L)and CCL19(591.13±98.32 ng/L,415.61±89.82 ng/L)in the serum of HSPN patients in the acute and chronic stages were obviously higher than those in the rehabilitation stage(158.53±21.96 ng/L,295.17±69.61 ng/L),and the differences were significant(t=6.917,12.101;5.320,3.102,all P＜0.05),while the levels of LRG1 and CCL19 in the serum of HSPN patients in the acute stage were obviously higher than those in the chronic stage,and the differences were significant(t=5.059,8.750,all P＜0.05).Spearman correlation analysis showed that the serum levels of LRG1 and CCL19 in children with HSPN were positively correlated with their course of disease(r=0.506,0.689,all P＜0.001).Conclusion The levels of serum LRG1 and CCL19 are elevated in HSPN children,and combined detection of serum LRG1 and CCL19 can improve the early clinical diagnostic value of HSPN and evaluate the prognosis of children with HSPN.

Objective:To analyze the clinical characteristics of different types of anomalous origin of the coronary artery.Methods:A case-series study was conducted.Based on the clinical data of children diagnosed with anomalous origin of the coronary artery at Shanghai Children′s Medical Center, Shanghai Jiao Tong University School of Medicine from January 2013 to January 2023, the diseases of different types of anomalous origin of the coronary artery were summarized.Results:A total of 177 children with anomalous origin of the coronary artery were treated.Among them, 122 children developed the anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA), including 54 males and 68 females, with a median age of 1.2 years; 6 children developed the anomalous origin of the right coronary artery from the pulmonary artery (ARCAPA), including 3 males and 3 females, with a median age of 4.3 years; 9 children developed the anomalous left coronary artery from the right coronary sinus (ALCA), including 6 males and 3 females, with a median age of 9.5 years; 40 children developed the anomalous right coronary artery from the left coronary sinus (ARCA), including 24 males and 16 females, with a median age of 7.7 years.Most children diagnosed with ALCAPA had onset within 1 year of age, with chronic heart failure as the main manifestation, and young children were often accompanied by severe mitral regurgitation.A total of 111 children underwent surgery, and 11 children died.Six children with ARCAPA had no obvious clinical symptoms and were treated by operation according to the principle of double coronary circulation after diagnosis.Nine children with ALCA started with syncope, chest pain or abdominal pain after exercise.Eight of the children underwent surgical treatment, including 1 who received a heart transplant.Of the 40 children with ARCA, 23 children had clinical manifestations, with chest tightness, syncope, and chest pain after exercise as chief complaints; 16 children were tested positive for treadmill exercise before surgery; and a total of 13 children received surgical treatment.Conclusions:Different types of anomalous origin of the coronary artery vary in severity.The clinical manifestations of the anomalous origin of the left coronary artery are generally serious, and most of such patients have the risk of cardiac insufficiency or sudden death.Once diagnosed, surgical treatment should be performed timely.The clinical manifestations of the anomalous origin of the right coronary artery are relatively mild, and only a few may have serious consequences, which are usually treated according to the principle of individualization or double coronary circulation.

Objective:To investigate diagnostic and prognostic value of actin-binding protein ANLN in clear cell renal cell carcinoma(ccRCC)and its relationship with tumor microenvironment.Methods:Gene expression data and clinical data for ccRCC were downloaded from The Cancer Genome Atlas(TCGA).Relationship between ANLN expression and clinicopathological features was assessed by Wilcoxon rank sum test and Logistic regression.Receiver operating characteristic(ROC)curve was used to assess diagnostic value of ANLN expression in ccRCC.Kaplan-Meier and Cox regression analysis were used to investigate effect of ANLN expression on overall survival.Gene set enrichment analysis(GSEA)was used to identify signaling pathways associated with ANLN in ccRCC.Relationship between ANLN expression and immune infiltration was analyzed by ESTIMATE algorithm,tumor immune estima-tion resource(TIMER)and CIBERSORT algorithms.Relationship between ANLN and drug sensitivity was calculated using CellMiner database.Results:ANLN expression was significantly upregulated in ccRCC tissues.ANLN expression in ccRCC was correlated with clinicopathological features.ROC analysis showed that ANLN had a high diagnostic value in ccRCC.High ANLN expression was signifi-cantly associated with poor prognosis.Multivariate Cox regression analysis showed that high ANLN expression was an independent risk factor for overall survival in ccRCC patients.GSEA showed that ANLN was associated with multiple signaling pathways.In terms of immunity,ANLN was closely associated with tumor microenvironment,immune infiltration and immune checkpoint molecules in ccRCC.ANLN expression was negatively correlated with sensitivity of most antitumor drugs.Conclusion:ANLN is a potential diagnos-tic and prognostic biomarker and immunotherapeutic target for ccRCC.