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.

Cognitive impairment （CI） is a clinical syndrome characterized by progressive decline in advanced cognitive functions such as memory， thinking， and judgment. Its etiology and pathogenesis are complex， and there is currently a lack of specific drug interventions. Metformin， as a first-line hypoglycemic drug for type 2 diabetes， not only lowers blood glucose levels but also improves CI. This article reviews and summarizes the pharmacological effects and mechanisms of metformin in improving Alzheimer’s disease， diabetes cognitive impairment， cognitive impairment after chemotherapy， in order to provide novel insights and approaches for the treatment of CI-related diseases. Studies have shown that the mechanism by which MET intervenes in CI mainly includes regulating β-amyloid protein and tau protein metabolism， reducing insulin resistance， inhibiting neuroinflammation， improving synaptic plasticity， improving mitochondrial dysfunction， regulating gut microbiota and lipid metabolism， etc. Future research needs to be conducted through interdisciplinary collaboration， fully integrating multiple omics data， and combining advanced technologies to further reveal their mechanisms of effect.

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.

Objective:To study the risk factors and complications of hemodynamically significant patent ductus arteriosus(hsPDA)in preterm infants <32 weeks.Methods:From January 2021 to March 2022, a total of 150 premature infants with gestational age <32 weeks admitted to the Neonatal Intensive Care Unit of Liaocheng People′s Hospital were enrolled.Nine patients who did not meet the requirements were excluded and a total of 141 infants were finally analyzed retrospectively, including PDA group with 95 cases and non-PDA group with 46 cases.According to whether hsPDA existed or not, PDA group were dirided into hsPDA group with 42 cases and non-hsPDA group with 53 cases.Univariate and regression analyses were used to determine the risk factors and complication of hsPDA.Results:Univariate analysis showed that gestational age( t=-6.861, P<0.01), birth weight( t=-4.392, P<0.01), mode of delivery( χ2=9.018, P<0.01), caffeine( χ2=4.337, P<0.05) and suffocation( χ2=7.918, P<0.01)were associated with hsPDA.Logistic regression analysis showed that gestational age( OR=2.435, P<0.01, 95% CI: 1.669~3.552)was an independent risk factor for hsPDA in gestational age <32 weeks preterm infants.The incidences of necrotizing enterocolitis, intraventricular hemorrhage, bronchopulmonary dysplasia, and retinopathy of prematurity in the hsPDA group were higher than those in the non-hsPDA group( P<0.05). Conclusion:Gestational age is an independent risk factor for hsPDA with gestational age <32 weeks.Necrotizing enterocolitis, intraventricular hemorrhage, bronchopulmonary dysplasia, and retinopathy of prematurity are related complications of hsPDA.

Objectives Objectives To investigate how the imbalance of innate lymphoid cells (ILCs)in the peripheral blood of patients with lung adenocarcinoma affects the balance of downstream mononuclear macrophages and T helper (Th) cells, and to identify the impact of the imbalance of ILCs on the immune status and prognosis of lung adenocarcinoma. Methods The peripheral blood of 20 patients with lung adenocarcinoma and normal controls were collected. The percentage of ILCs, mononuclear macrophages and T lymphocyte in peripheral blood were analyzed by flow cytometry. The characteristic cytokine secretion levels of various types of immune cells in peripheral blood were detected by real-time fluorescence quantitative PCR. Results Compared with the normal controls, the proportion of M2 mononuclear macrophages, ILC1 and ILC2 in patients with lung adenocarcinoma was up-regulated, while the proportion of M1 mononuclear macrophages, CD4⁺ T and CD8⁺ T was down-regulated. The mRNA expression of related cytokines of M1 mononuclear macrophages and ILC1 were decreased; while the mRNA expression of related cytokines of M2 mononuclear macrophages and ILC2 were increased. Along with the decreased CD4⁺T cells-associated cytokine T-bet mRNA expression, and the increased GATA3 mRNA expression. Moreover, the expression of PD-1 in CD8⁺ T cells was also up-regulated. Conclusion The imbalance of ILCs in peripheral blood of patients with lung adenocarcinoma promotes the imbalance of mononuclear macrophages and Th cells, which altogether maintains the immunosuppression in patients with lung adenocarcinoma, and promotes the development of lung adenocarcinoma.
Humans ; Lymphocytes ; Immunity, Innate ; CD8-Positive T-Lymphocytes ; Cytokines/metabolism* ; Adenocarcinoma of Lung ; Immunosuppression Therapy ; RNA, Messenger

BACKGROUND: The HELIOS stent is a sirolimus-eluting stent with a biodegradable polymer and titanium oxide film as the tie-layer. The study aimed to evaluate the safety and efficacy of HELIOS stent in a real-world setting. METHODS: The HELIOS registry is a prospective, multicenter, cohort study conducted at 38 centers across China between November 2018 and December 2019. A total of 3060 consecutive patients were enrolled after application of minimal inclusion and exclusion criteria. The primary endpoint was target lesion failure (TLF), defined as a composite of cardiac death, non-fatal target vessel myocardial infarction (MI), and clinically indicated target lesion revascularization (TLR) at 1-year follow-up. Kaplan-Meier methods were used to estimate the cumulative incidence of clinical events and construct survival curves. RESULTS: A total of 2998 (98.0%) patients completed the 1-year follow-up. The 1-year incidence of TLF was 3.10% (94/2998, 95% closed interval: 2.54-3.78%). The rates of cardiac death, non-fatal target vessel MI and clinically indicated TLR were 2.33% (70/2998), 0.20% (6/2998), and 0.70% (21/2998), respectively. The rate of stent thrombosis was 0.33% (10/2998). Age ≥60 years, diabetes mellitus, family history of coronary artery disease, acute myocardial infarction at admission, and device success were independent predictors of TLF at 1 year. CONCLUSION: The 1-year incidence rates of TLF and stent thrombosis were 3.10% and 0.33%, respectively, in patients treated with HELIOS stents. Our results provide clinical evidence for interventional cardiologists and policymakers to evaluate HELIOS stent. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov, NCT03916432.
Humans ; Middle Aged ; Sirolimus/therapeutic use* ; Drug-Eluting Stents/adverse effects* ; Prospective Studies ; Cohort Studies ; Treatment Outcome ; Risk Factors ; Time Factors ; Percutaneous Coronary Intervention/adverse effects* ; Cardiovascular Agents/therapeutic use* ; Coronary Artery Disease/therapy* ; Myocardial Infarction/etiology* ; Thrombosis/complications* ; Polymers ; Registries

Objective:To evaluate the clinical characteristics and prognosis of febrile convulsions (FS) in children during the epidemic period of novel coronavirus Omicron variant.Methods:A retrospective analysis was conducted on the clinical data of pediatric patients diagnosed with FS at Changsha Central Hospital Affiliated to University of South China from February 1, 2022 to January 31, 2023. The clinical characteristics and prognosis of FS patients caused by Omicron variant infection (observation group) were compared with those caused by non Omicron variant infection (control group).Results:A total of 131 cases in the observation group and 341 cases in the control group; The proportion of children aged 12-36 months in the observation group was lower than that in the control group ( P<0.05), and the proportion of children aged ≥60 months was higher than that in the control group ( P<0.05). Most of the FS in the observation group occurred within 24 hours of fever (128/131, 97.7%), with a statistically significant difference compared to the control group ( P<0.05), and most of them were generalized tonic clonic seizures (127/131, 96.9%), with only one seizure during the course of the disease (114/131, 87.0%), consistent with the characteristics of simple FS. The main clinical symptoms of FS patients in the observation group were upper respiratory tract infections (108/131, 82.5%), which were significantly higher than those in the control group (164/341, 48.1%), while the incidence of lower respiratory tract infections was lower than that in the control group ( P<0.05). 369 pediatric patients were followed up by phone or outpatient visits, with 98 cases in the observation group and 2 cases experiencing recurrence. There was no recurrence in the group aged ≥60 months; A total of 271 cases were followed up in the control group, with 9 cases experiencing recurrence. Conclusions:The number of children with FS caused by novel coronavirus Omicron variant has increased sharply, and the proportion of late onset FS patients has increased significantly. Most of them are upper respiratory tract infections. Convulsions usually occur within 24 hours of fever, and the prognosis is good.

BACKGROUND: Meshes play a crucial role in hernia repair. However, the displacement of mesh inevitably leads to various associated complications. This process is difficult to be traced by conventional imaging means. The purpose of this study is to create a contrast-enhanced material with high-density property that can be detected by computed tomography (CT). METHODS: The contrast-enhanced monofilament was manufactured from barium sulfate nanoparticles and medical polypropylene (PP/Ba). To characterize the composite, stress tensile tests and scanning electron microscopy (SEM) was performed. Toxicity and biocompatibility of PP/Ba materials was verified by in vitro cellular assays. Meanwhile, the inflammatory response was tested by protein adsorption assay. In addition, an animal model was established to demonstrate the long-term radiographic effect of the composite material in vivo. Subsequent pathological tests confirmed its in vivo compatibility. RESULTS: The SEM revealed that the main component of the monofilament is carbon. In vitro cell experiments demonstrated that novel material does not affect cell activity and proliferation. Protein adsorption assays indicated that the contrast-enhanced material does not cause additional inflammatory responses. In addition, in vivo experiments illustrated that PP/Ba mesh can be detected by CT and has good in vivo compatibility. CONCLUSION These results highlight the excellent biocompatibility of the contrast-enhanced material, which is suitable for human abdominal wall tissue engineering.

Objective:To develop a prediction model based on imaging features by contrast-enhanced MRI radiomics combined with clinical features for early recurrence of hepatocellular carcinoma (HCC) after radical resection.Methods:A retrospective study was carried out on 109 HCC patients who underwent radical resection at the Fifth Affiliated Hospital of Wenzhou Medical University from January 2015 to December 2020. Of 109 patients enrolled in this study, there were 96 males and 13 females, aged (58.3±10.7) years. Based on whether there was recurrence within 12 months after operation, the patients were divided into the early recurrence group ( n=31) and the control group ( n=78). These 109 patients were then randomly divided into the validation set ( n=23) and the training set ( n=86) at a ratio of 1∶4. Based on preoperative multi-phase contrast-enhanced MRI scanning, the tumor lesions were delineated on the Radcloud platform, and 1 409 quantitative radiomic features were extracted. Dimension reduction and screening of these features were carried out using variance threshold, SelectKBest and LASSO. Combined with clinical features (alpha fetoprotein, tumor size), several prediction model were established through machine learning. The predictive efficiencies of these models were evaluated using the area under the receiver operating characteristic (ROC) curve, accuracy rate, recall rate and balanced F score. Results:The proportions of irregular tumor shape and unclear tumor boundary, as well as maximum tumor diameter in the early recurrence group were significantly higher than that in the control group, but the proportion of pseudocapsule was significantly lower than that in the control group (all P<0.05). A total of 465 features were screened from the 1 409 features using the variance threshold method, followed by 38 features were screened using the method of SelectKBest. Finally 7 optimal radiomic features were screened based on the LASSO method. When combined with clinical features, 5 prediction models were established through machine learning. These models were support vector machine, Gaussian naive bayes, logistic regression, Multinomial naive bayes and K-nearest neighbor (KNN), respectively. Among these 5 models, the prediction efficiency of the KNN model was relatively highest, with the area under the ROC curve, accuracy rate, recall rate and balanced F score being 0.90, 0.98, 0.74 and 0.84 in the training set, and 0.76, 0.92, 0.75 and 0.83 in the verification set, respectively. Thus, the KNN model was selected as the best prediction model in this study. Conclusion:The prediction model of KNN was developed for early recurrence of HCC after radical resection based on preoperative contrast-enhanced MRI radiomics combined with clinical features.

Objective:To explore the application value of transrectal ultrasound images classification network model of prostate cancer based on deep learning in the classification of benign and malignant prostate tissue in transrectal ultrasound images.Methods:A total of 1 462 two-dimensional images of transrectal prostate biopsy with clear pathologic results(including 658 images of malignant tumor, 804 images of benign tumor) from 203 patients with suspicious prostate cancer(including 89 cases of malignant tumor, 114 cases of benign tumor) were collected from May 2018 to May 2021 in the First Affiliated Hospital of Jinan University. They were divided into the training database, validation database, and test database. And the training and validation database were used to train and obtain the intelligence-assisted diagnosis network model, and then the test database was used to test the network model and two ultrasound doctors of different ages. With pathologic diagnosis as the gold standard, the diagnostic performance among them was evaluated.Results:①The sensitivity of network model was 66.7% the specificity was 91.9%, the accuracy was 80.5%, the precision(positive predictive value) was 87.1%. The area under the ROC curve was 0.922. ②The accuracy of the junior and senior ultrasound doctors was 57.5%, 62.0%; the specificity was 62.0%, 66.3%; the sensitivity was 51.5%, 56.8%; the precision was 53.1%, 58.1%, respectively. ③The accuracy, sensitivity, specificity, precision of classification: the network model > the ultrasound doctors, the differences were significant( P<0.05); the senior ultrasound doctor>the junior ultrasound doctor, the differences were not significant( P>0.05). Conclusions:The intelligence-assisted diagnosis network model based on deep learning can classify benign and malignant prostate tissue in transrectal ultrasound images, improve the accuracy of ultrasound doctors in diagnosing prostate cancer. It is of great significance to improve the efficiency of screening for patients with high clinical suspicion of prostate cancer.