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*

convalescents, and to screen for broad-spectrum neutralizing antibodies against the SARS-CoV-2 RBD. Methods Using biotinylated RBD as a molecular probe, flow cytometry was employed to perform single-cell sorting of B cells from peripheral blood mononuclear cells (PBMCs) of convalescents. The obtained B cells were lysed and subjected to reverse transcription, followed by nested PCR amplification of the heavy and light chains of antibodies was conducted using random primers. The amplified products were cloned into corresponding expression vectors, and the respective matched heavy-light chain plasmids were co-transfected into 293F cells for expression. Monoclonal antibodies were then purified using Protein A column chromatography. Neutralization experiments were conducted with the wild-type (WT) pseudovirus, and antibodies with IC50<0.1 μg/mL were selected for further testing of neutralizing breadth and potency against the wild-type (WT), Beta variant (B.1.351), Delta variant (B.1.617.2), and currently prevalent pseudovirus strains (XBB, BA.5, BF.7). Results A total of 21 RBD-specific monoclonal B cells were obtained from two recovered patients, resulting in the isolation of 13 pairs of antibody light/heavy chains. Nine antibodies were successfully expressed, with P1-A1, P1-B6, and P1-B9 exhibiting IC50 values below 0.1 μg/mL against the pseudovirus of the wild-type strain (WT). Specifically, P1-B6 effectively neutralized the wild-type strain (WT), Beta variant (B.1.351), and Delta variant (B.1.617.2), with IC50 values reaching 0.01 μg/mL. P1-B9 demonstrated effective neutralization against the wild-type strain (WT), Beta variant (B.1.351), Delta variant (B.1.617.2), and Gamma variant (P.1) pseudoviruses, with IC50 values of 0.42 μg/mL, 0.63 μg/mL, 0.28 μg/mL, and 2.50 μg/mL, respectively. Additionally, P1-B6 exhibited good neutralization against BA.5 and BF.7 pseudoviruses, with IC50 values of 0.06 μg/mL and 0.09 μg/mL, respectively. Conclusions Infection with the SARS-CoV-2 WT strain can induce the generation of neutralizing antibodies with broad-spectrum activity. Generating these broadly neutralizing antibodies does not require an excessively high somatic hypermutation. The obtained antibodies can be used as candidates for SARS-CoV-2 diagnosis and prevention.

Under the backdrop of the "Healthy China 2030" strategy, running has become the most common form of exercise. Fitness running is a kind of endurance aerobic exercise. Compared with swimming, aerobics, and other sports with high activity and intensity, the risk of lower limb fatigue injury during fitness running is higher. In this review paper, the risk factors for running-related injuries were summarized by consulting and analyzing the database and focuses on discussing and analyzing the impact of running on joints. The results showed that hip adduction, knee bending, and ankle joint abnormalities are the three joint-related factors that cause the main injuries during running. Four rehabilitation intervention methods for running-related injuries were proposed, that can guide patients to generate personalized rehabilitation treatment plans through training.

Objective To explore the application value of ultrasound-guided use of bupivacaine for subarachnoid block in hip replacement surgery for elderly femoral neck fractures.Methods A total of 108 elderly patients who underwent hip replacement surgery at Ganzhou Traditional Chinese Medicine Hospital from March 2020 to March 2022 were selected as the study subjects.They were divided into conventional anesthesia group and ultrasound guided anesthesia group by means of random number table,54 cases in each group.Patients in the conventional anesthesia group received routine general anesthesia;Patients in the ultrasound guided anesthesia group received unilateral lumbar anesthesia with bupivacaine under ultrasound-guided guidance.Compare the effectiveness of two anesthesia methods during surgery.Results Compared with the conventional anesthesia group,the anesthesia effect of the ultrasound guided anesthesia group was better(P<0.05);The surgery time,amount of bleeding during surgery,postoperative recovery time,and length of hospital stay in the ultrasound guided anesthesia group were all lower than those in the conventional anesthesia group(P<0.05).The ultrasound guided anesthesia group performed better in terms of hemodynamic stability,with a smaller range of changes,and significantly lower pain scores at different postoperative time points compared to the conventional anesthesia group(P<0.05).Conclusion In elderly patients undergoing hip replacement surgery,using ultrasound-guided bupivacaine for subarachnoid block can achieve ideal anesthesia and analgesic effects compared to traditional general anesthesia,shorten drug onset time,alleviate pain in elderly patients,maintain hemodynamic stability,and have significant clinical application effects.

Objective:To investigate the symptoms and symptom clusters of elderly stroke patients in the acute phase, analyze the factors influencing the symptom clusters and to provide a basis for the implementation of targeted symptom management in elderly stroke patients.Methods:Convenience sampling method was used to select 257 acute-phase elderly stroke patients who attended Fenyang Hospital in Shanxi Province from October 2022 to January 2023, and a cross-sectional survey was conducted by the General Information Questionnaire, Memory Symptom Evaluation Inventory, Modified Barthel Index Scale (MBI), and the National Institutes of Health Stroke Scale (NIHSS), and the symptom clusters were extracted by means of exploratory factor analysis, and the factors influencing symptom clusters were explored by means of binary logistic regression analysis.Results:Of the 257 patients, 138 were male and 119 were female, aged 60 to 90 (70.34 ± 6.94) years old. Factor analysis yielded four symptom clusters, which were named oral-intestinal symptom cluster, negative emotional symptom cluster, fatigue symptom cluster, and perceptual symptom cluster according to the symptom characteristics; regression analysis showed that: stroke site and NIHSS scores were the influencing factors of the oral-intestinal symptom cluster (all P<0.05); per capita monthly family income, number of episodes and MBI scores were the influencing factors of the negative emotional symptom cluster (all P<0.05); number of chronic diseases, type of stroke, and gender were the influencing factors of the fatigue emotional symptom cluster (all P<0.05); and literacy and stroke site were influencing factors of the perception symptom cluster (all P<0.05). Conclusions:Elderly stroke patients in the acute phase of the existence of more symptoms, symptoms interact with each other to form symptom clusters, health care personnel should be symptom clusters as a unit, the implementation of interventions for their influencing factors, effective symptom management, in order to improve the quality of life of patients.