OBJECTIVES: To identify risk factors contributing to prolonged postoperative length of stay (LOS) in very elderly patients following hip fracture surgery, with a focus on postoperative complications and the impact of different anesthesia approaches. METHODS: This retrospective single-center cohort study enrolled patients aged 90 years or older who underwent hip fracture surgery at Peking Union Medical College Hospital between January 31, 2013 and December 31, 2023. Relevant perioperative data were collected. The primary outcome was postoperative LOS, and the study cohort was divided into two groups: postoperative LOS ≤ 7 days and LOS > 7 days. Logistic regression was performed to identify factors related to prolonged postoperative LOS. RESULTS: A total of 155 patients were included. The average age was 92.7 ± 2.6 years. There were 73 (47%) patients with postoperative LOS > 7 days. Postoperative pneumonia was the only factor associated with a prolonged postoperative LOS (OR = 2.12, 95% CI [1.09, 4.16], P = 0.028). Neither the type of anesthesia (regional vs. general anesthesia, OR = 1.00, 95% CI [0.53, 1.90], P = 0.993) nor the method of airway management (laryngeal mask ventilation vs. spontaneous breathing, OR = 1.46, 95% CI [0.58, 3.76], P = 0.424; endotracheal intubation vs. spontaneous breathing, OR = 0.82, 95% CI [0.39, 1.69], P = 0.592) showed a significant association with a prolonged postoperative LOS. Preoperative chronic obstructive pulmonary disease (OR = 2.78, 95% CI [1.05, 7.65], P = 0.040) and preoperative neutrophil count (OR = 1.13, 95% CI [1.01, 1.26], P = 0.029) were both significantly associated with the occurrence of postoperative pneumonia, while anesthesia type and airway management method were not. CONCLUSIONS Postoperative pneumonia was associated with prolonged postoperative LOS in very elderly patients undergoing hip fracture surgery, whereas anesthesia types and airway management methods show no association with prolonged postoperative LOS or postoperative pneumonia. Preoperative comorbidities, especially respiratory conditions and systemic inflammation, potentially play a substantial role in postoperative recovery.
Humans ; Hip Fractures/surgery* ; Aged, 80 and over ; Risk Factors ; Length of Stay ; Female ; Male ; Retrospective Studies ; Postoperative Complications/etiology*

Surgical methods for varicocele remain controversial. This study intends to evaluate the efficacy and safety of different surgical approaches for treating varicocele through a network meta-analysis (NMA). PubMed, Embase, Cochrane, and Web of Science databases were thoroughly searched. In total, 13 randomized controlled trials (RCTs) and 24 cohort studies were included, covering 9 different surgical methods. Pairwise meta-analysis and NMA were performed by means of random-effects models, and interventions were ranked based on the surface under the cumulative ranking curve (SUCRA). According to the SUCRA, microsurgical subinguinal varicocelectomy (MSV; 91.6%), microsurgical retroperitoneal varicocelectomy (MRV; 78.2%), and microsurgical inguinal varicocelectomy (MIV; 76.7%) demonstrated the highest effectiveness in reducing postoperative recurrence rates. In this study, sclerotherapy embolization (SE; 87.2%), MSV (77.9%), and MIV (67.7%) showed the best results in lowering the risk of hydrocele occurrence. MIV (82.9%), MSV (75.9%), and coil embolization (CE; 58.7%) were notably effective in increasing sperm motility. Moreover, CE (76.7%), subinguinal approach varicocelectomy (SV; 69.2%), and SE (55.7%) were the most effective in increasing sperm count. SE (82.5%), transabdominal laparoscopic varicocelectomy (TLV; 76.5%), and MRV (52.7%) were superior in shortening the length of hospital stay. The incidence rates of adverse events for MRV (0), SE (3.3%), and MIV (4.1%) were notably low. Cluster analyses indicated that MSV was the most effective in the treatment of varicocele. Based on the existing evidence, MSV may represent the optimal choice for varicocele surgery. However, selecting clinical surgical strategies requires consideration of various factors, including patient needs, surgeon experience, and the learning curve.
Humans ; Male ; Embolization, Therapeutic/methods* ; Microsurgery/methods* ; Randomized Controlled Trials as Topic ; Sclerotherapy/methods* ; Treatment Outcome ; Urologic Surgical Procedures, Male/methods* ; Varicocele/surgery*

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

[This corrects the article DOI: 10.1016/j.apsb.2022.03.002.].

Neuropathic pain is a debilitating pathological condition that presents significant therapeutic challenges in clinical practice. Unfortunately, current pharmacological treatments for neuropathic pain lack clinical efficacy and often lead to harmful adverse reactions. As G protein-coupled receptors (GPCRs) are widely distributed throughout the body, including the pain transmission pathway and descending inhibition pathway, the development of novel neuropathic pain treatments based on GPCRs allosteric modulation theory is gaining momentum. Extensive research has shown that allosteric modulators targeting GPCRs on the pain pathway can effectively alleviate symptoms of neuropathic pain while reducing or eliminating adverse effects. This review aims to provide a comprehensive summary of the progress made in GPCRs allosteric modulators in the treatment of neuropathic pain, and discuss the potential benefits and adverse factors of this treatment. We will also concentrate on the development of biased agonists of GPCRs, and based on important examples of biased agonist development in recent years, we will describe universal strategies for designing structure-based biased agonists. It is foreseeable that, with the continuous improvement of GPCRs allosteric modulation and biased agonist theory, effective GPCRs allosteric drugs will eventually be available for the treatment of neuropathic pain with acceptable safety.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To establish an ultrasound prediction model of postoperative recurrence in patients with papillary thyroid carcinoma(PTC)after complete endoscopic radical surgery.Meth-ods:264 patients with PTC who underwent complete endoscopic radical surgery for the first time in our hospital from February 2017 to March 2020 were retrospectively collected.They were divided in-to recurrence group and non recurrence group according to whether there was recurrence after surgery.The clinical data,nodule diameter,nodule number,internal echo,microcalcification and other ultrasonic data of the two groups were compared.Single factor,Lasso and Logistic regression mod-els were used to analyze the influencing factors of postoperative recurrence of PTC patients,and an nomogram model was established based on the selected indicators.Results:Compared with the non recurrence group,the patients in the recurrence group had larger nodule diameter,irregular nod-ule edge,aspect ratio＞1,microcalcification and capsule invasion(P＜0.05).Nodular diameter＞10 mm,irregular edge,aspect ratio＞1,microcalcification and capsule invasion were independent risk factors for postoperative recurrence of PTC patients(P＜0.05).The C-index of the constructed nomogram model was 0.756(95％Cl:0.684～0.830),and the AUC of the ROC curve was 0.895(95％Cl:0.866～0.915);The calibration curve results show that the average deviation is 0.027,and the predic-tion probability fits the actual probability well;The clinical decision curve is far away from the extreme curve and has good clinical applicability.Conclusion:The nomogram model based on nodule size,irregular margin,microcalcification,aspect ratio＞1,and capsule invasion has good accuracy in pre-dicting the recurrence of PTC patients after complete endoscopic radical surgery,and has certain clinical significance.

From an aqueous extract of the Angelica sinensis root head (guitou), nine pairs of lignanoid enantiomers [(+)-/(-)-1-(+)-/(-)-9], including three pairs of new structures [(+)-/(-)-1-(+)-/(-)-3] and two pairs of chiral separated enantiomers for the first time [(+)-/(-)-4 and (+)-/(-)-5], were isolated and chirally separated by column chromatography over different types of resin, normal and reversed phase silica gels, together with HPLC techniques using reversed phase and chiral columns. Their structures were determined by spectroscopic data analysis, theoretic calculation of electronic circular dichroism (ECD) spectra, and single-crystal X-ray diffraction. The chiral separated new enantiomers named (+)-/(-)-angelignanins Q-T [(+)-/(-)-1-(+)-/(-)-4] and (+)-/(-)-daphneresinol [(+)-/(-)-5], respectively.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.