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.

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.

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 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.

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 mechanism by which gastrodin improves renal hyperten-sion in rats.METHODS A rat model of renal hypertension was established by ligating the renal artery.seventy-five rats were randomly divided into 5 groups(n=15):control group(sham operation group),model group,model+ramipril 1 mg·kg-1,model+gastrodin 100 and 200 mg·kg-1.The systolic blood pressure of the tail artery after modeling>18.12 kPa was regarded as the success of modeling.After the model was established,rats in the model+ramipril group were ig given ramipril 1 mg·kg-1 while the model+gastrodin group was ig given gastrodin 100 and 200 mg·kg-1 respectively for 4 weeks.Colori-metric assay kit was used to detect the serum superoxide dismutase(SOD)activity and malondialde-hyde(MDA)content in rats.ELISA was used to detect serum angiotensin-2(Ang-2)and aldosterone(ALD)contents,as well as serum and thoracic aortic tissue interleukin-1β(IL-1β),IL-6 and tumor necrosis factor α(TNF-α)content.HE staining was performed to detect pathological changes in thoracic aorta tissue of rats.The expressions of autophagy protein miceotubule associated protein light chain 3(LC3)-Ⅱand LC3-Ⅰwere detected by Western blotting.RESULTS The systolic pressure of the tail artery of rats after modeling exceeded 18.12 kPa,indicating that the modeling was successful.Compared with the control group,the contens of Ang-2(P<0.01)and ALD(P<0.01)in the model group were significantly increased,the activity of SOD(P<0.01)in serum and thoracic aorta tissue was significantly decreased,the content of MDA(P<0.01)was significantly increased,the contents of IL-1β,IL-6 and TNF-α in serum and thoracic aorta tissue were significantly decreased(P<0.01)and the ratio of LC-32/LC-31 in thoracic aorta tissue was significantly increased(P<0.01).Compared with the model group,gastrodin significantly increased the systolic pressure of the tail artery(P<0.01),the contents of Ang-2(P<0.01)and ALD(P<0.01)and the activity of SOD(P<0.01)in serum,as well as decreased the contents of MDA,IL-1β,IL-6 and TNF-α(P<0.01)in serum and thoracic aorta tissue.Meanwhile,gastrodin signifi-cantly decreased the ratio of LC3-Ⅱ/LC3-Ⅰ in rat thoracic aorta(P<0.01).CONCLUSION Gastrodin can improve the blood pressure of renal hypertensive rats,and the mechanism is possibly related to the reduction of autophagy protein LC3-Ⅱ/LC3-Ⅰratio.

Objective:To observe the effects of nutritional status on the surgical outcomes, nutritional indicators, and renal anemia of maintenance hemodialysis patients with secondary hyperparathyroidism undergoing parathyroidectomy.Methods:A retrospective study was conducted on 35 patients who underwent maintenance hemodialysis with secondary hyperparathyroidism at Huadu District People′s Hospital of Guangzhou from January 2016 to January 2021. All patients underwent total parathyroidectomy with autologous forearm transplantation due to ineffective drug treatment. Before surgery, patients were divided into three groups based on their nutritional status scores: no malnutrition group (0-1 points), mild malnutrition group (2-4 points), and moderate to severe malnutrition group (5-12 points). The changes in serum parathyroid hormone, blood calcium, blood phosphorus, blood albumin, and other indicators were observed at different time points before and after surgery in different groups of patients.Results:The serum parathyroid hormone, blood phosphorus, and calcium phosphorus product of maintenance hemodialysis patients with different nutritional status who underwent parathyroidectomy at 3, 6, and 12 months were significantly decreased compared with preoperative levels, and the differences were statistically significant (all P<0.05). There were no significant changes in albumin, lymphocyte count, and total cholesterol levels in patients without malnutrition at 3, 6, and 12 months after surgery compared with preoperative levels (all P>0.05); The lymphocyte count of patients with mild malnutrition increased significantly at 6 and 12 months after surgery compared to preoperative levels (all P<0.05). The levels of albumin and total cholesterol in patients with moderate to severe malnutrition increased significantly at 3, 6, and 12 months after surgery compared with preoperative levels (all P<0.05). The Hb levels of patients without malnutrition and those with mild malnutrition increased significantly at 6 and 12 months after surgery compared with preoperative levels (all P<0.05); The Hb levels of patients with moderate to severe malnutrition increased significantly at 3, 6, and 12 months after surgery compared with preoperative levels (all P<0.05). Conclusions:Nutritional status affects the long-term outcomes of parathyroidectomy in hemodialysis patients, and parathyroidectomy can significantly improve the nutritional and anemia status of hemodialysis patients with secondary hyperparathyroidism. This effect is more pronounced in patients with moderate to severe malnutrition before surgery.