OBJECTIVE To establish a Chinese drug-related problem （DRP） classification system applicable to pharmacist-led pharmaceutical care in China， providing pharmacists with an effective and practical tool for pharmaceutical care. METHODS A multi-stage process was employed to construct the DRP classification system， including literature review and analysis， comparison of existing classification systems， refinement of classification items and framework development， two rounds of standard case validation， expert discussion， and system revision. The Fleiss′ kappa test was used to calculate the consistency coefficient κ， assessing the reliability of pharmacists participating in evaluating the classification system. An electronic questionnaire comprising six items was employed to evaluate the system’s applicability. RESULTS The constructed Chinese DRP classification system comprised six sections [problem（including potential problems）， DRP evaluation， cause （including possible causes of potential problems）， intervention， acceptance of intervention and DRP status]， with 24 primary codes and 96 secondary codes. In the first round of case validation， κ values exceeded 0.4 for all sections except “intervention” and “DRP status”. In the second round， κ values exceeded 0.4 for all sections. In the applicability evaluation of the classification system， positive ratings （“strongly agree” or “agree”） exceeded 85% for all items. Specifically， positive ratings for“the classification system can provide appropriate category selection”，“ the classification system is comprehensive”，“ the classification system is convenient to use” and “the classification system is highly satisfactory” exceeded 92%. CONCLUSIONS The Chinese DRP classification system developed demonstrates both high reliability and applicability， providing an effective and practical classification tool for pharmacists in China to conduct pharmaceutical care.

Pathologic myopia(PM)is characterized by progressive axial elongation, posterior staphyloma, and fundus degenerative changes, representing a leading cause of blindness in Asian countries.Posterior scleral reinforcement(PSR)is currently the only surgical intervention to slow axial elongation. Its mechanisms involve mechanical reinforcement, improved blood circulation, and biological stimulation of scleral remodeling. This article reviews recent advances in PSR: surgical techniques have evolved from complex, classic procedures to standardized single-strip methods, incorporating 3D MRI to quantify posterior staphyloma morphology for personalized graft design and facilitating minimally invasive, precision surgery. Among implant materials, biomaterials such as allogeneic dura mater are being continuously optimized, while biomimetic piezoelectric smart materials actively promote scleral collagen synthesis through electrical signals, achieving a paradigm shift from “passive support”to “active reinforcement”. Clinical outcomes indicate advantages in regulating axial length, enhancing visual function and blood circulation, and facilitating early intervention in children. Combined procedures with ICL implantation, cataract surgery or vitrectomy provide comprehensive treatment regimens for individual patients with varied conditions. This article also analyzes long-term issues and core controversies including ectopic posterior staphyloma and reoperation, and prospects future research directions such as artificial intelligence assistance, translation of smart materials and full-cycle prevention and treatment systems, so as to provide references for clinical practice and scientific research.

Background Long-term exposure to ambient fine particulate matter (PM_2.5) is a significant risk factor for cardiometabolic disorders. However, the mechanisms of its interaction with the endogenous circadian system remain incompletely understood. Objective To investigate whether chronic PM_2.5 exposure interferes with the rhythmic expression of the cardiac circadian clock, thereby disrupting downstream antioxidant defenses and metabolic homeostasis, and ultimately driving cardiometabolic dysfunction. Methods Seventy-two male C57BL/6 mice were randomly divided into a PM_2.5 exposure group (PM group) and a filtered air control group (FA group). Whole-body exposure was conducted for 8 weeks in a meteorological environmental animal exposure system. Samples were collected at six distinct zeitgeber time (ZT) points post-exposure. The 24 h ambulatory blood pressure and serum lipid profiles were monitored. Rhythm parameters were derived via cosinor analysis to compare differences in Midline statistic of rhythm (Mesor), amplitude, and phase between the two groups. The rhythmic expression of core circadian clock genes and antioxidant genes in the myocardium was detected by quantitative polymerase chain reaction (qPCR). Myocardial reactive oxygen species (ROS) levels and downstream pathway protein expression were analyzed by immunofluorescence and Western blot (WB), respectively. The expression changes of the clock gene retinoic acid receptor-related orphan receptor α (RORα) were assessed at both the mRNA and protein levels. Finally, Spearman correlation analysis was used to explore the relationships among myocardial RORα expression, lipid profiles, and oxidative stress indicators. Results Compared to the FA group, mice in the PM group exhibited a blunted circadian rhythm in blood pressure, characterized by sustained elevation throughout the day. Chronic PM_2.5 exposure showed a significant interaction with ZT on systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP) (F-interaction=9.11, 5.70, and 6.02, respectively; P<0.05), as well as on serum triglycerides (TG), total cholesterol (T-CHO), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) (F-interaction=16.32, 11.12, 15.39, and 28.09, respectively; P<0.05). Cosinor analysis further revealed that the Mesor values of T-CHO, TG, and LDL-C were significantly increased (P<0.05), while that of HDL-C was significantly decreased in the PM group (P<0.05). The oscillation amplitudes of SBP, DBP, and MAP showed a decreasing trend, whereas those of TG and LDL-C were significantly increased (P<0.05). Furthermore, SBP, T-CHO, and HDL-C all exhibited a significant phase delay (P<0.05). Mechanistically, PM_2.5 exposure significantly suppressed the expression of the positive circadian regulator RORα in the myocardium, leading to disordered rhythmic expression of core clock genes (Bmal1, Clock, Per1/2, and Cry1/2). This exposure also inhibited the rhythmic expression of antioxidant genes (GPX1, SOD2, and CAT), resulting in increased ROS generation and elevated expression of calcium/calmodulin-dependent protein kinase II (CaMKII) and reduced nicotinamide adenine dinucleotide phosphate (NADPH) proteins. Correlation analysis further revealed that myocardial RORα expression level was negatively correlated with T-CHO, TG, and LDL-C (r=−0.55, −0.63, and −0.51, respectively; P<0.001), and positively correlated with HDL-C (r=0.37, P=0.010), and antioxidant genes GPX1, SOD2, and CAT expression (r=0.34, 0.35, and 0.56, respectively; P < 0.001). Conclusion Chronic PM_2.5 exposure induces cardiometabolic dysfunction by suppressing myocardial RORα expression. This suppression disrupts the cardiac circadian clock and the diurnal balance of oxidative stress, triggering oxidative damage and elevating expression of CaMKII/NADPH pathway proteins. Collectively, these alterations precipitate the loss of cardiac metabolic rhythms and subsequent functional impairment.

Objectives: . The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC. Methods: . A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients. Results: . Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected. Conclusion . Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.

Heart failure （HF） is the end-stage of various cardiovascular diseases， with high morbidity and mortality. The existing “new quadruple” standard treatment can hardly reverse the core pathological process of myocardial remodeling， and long-term medication may pose risks of drug resistance and adverse reactions. Therefore， new therapeutic targets and strategies are urgently needed. Metabolic reprogramming is the upstream core mechanism regulating phenotypic polarization and functional activation of macrophages， which drives the occurrence and development of HF through the core axis of metabolic reprogramming-immune imbalance-ventricular remodeling and has become a cutting-edge potential target for the prevention and treatment of HF. Traditional Chinese medicine （TCM） has a long history in the prevention and treatment of HF. A large number of studies in recent years have confirmed that different therapeutic methods of TCM can correct the polarization imbalance， restore the homeostasis of myocardial immune microenvironment， inhibit myocardial injury， and delay the pathological process of HF by targeting and regulating the metabolic reprogramming of glucose， lipids， mitochondria， and amino acids in macrophages. This paper systematically expounds the core pathological mechanism of metabolic reprogramming of macrophages in HF， sorts out the research progress of TCM in preventing and treating HF by intervening this target， analyzes the regulatory rules， summarizes the limitations of existing research， and puts forward future directions. This review aims to provide a systematic theoretical reference and new research ideas for TCM clinical diagnosis and treatment and new drug development of HF.

Objective:To explore the predictive value of the difference in average CT attenuation values between renal pelvis urine and bladder urine on the risk of pyonephrosis, and to establish a nomogram model in combination with other parameters and to verify its predictive ability.Methods:The clinical data of patients with obstructive hydronephrosis who came to our hospital for emergency percutaneous nephrostomy (PCN) between January 2020 and December 2022 were retrospectively analyzed. There were 16 men and 33 women, with the age of (57.59, 14.67) years. Body mass index was (23.34, 3.11) kg/m 2. Urine nitrite was positive in 14 cases. Urine culture was positive in 21 cases. In the routine blood test, the median white blood cell count was 10.96 (7.21, 15.15) ×10 9/L, haemoglobin (115.08, 22.71) g/L and platelets (263.00, 97.20)×10 9/L. The difference in average CT attenuation values between renal pelvis urine and bladder urine (mean CT value of pyelonephritis-mean CT value of cysturia) was -2.19 (-7.04, 4.05) HU. Patients were divided into pyonephrosis group and hydronephrosis group according to whether the drainage fluid after PCN was pus. Single-factor and multi-factor logistic regression models were used to analyze the independent predictors of pyonephrosis and to construct nomograms. The discrimination of the model was assessed by the area under the curve (AUC) of the receiver operating characteristics (ROC), the accuracy by the calibration curve and the clinical efficacy by the decision curve analysis (DCA). Results:There were 49 cases in this study, 31 cases in the hydronephrosis group and 18 cases in the pyonephrosis group. The average CT attenuation values of renal pelvis urine were 3.35(0.56, 8.96) HU and 7.78 (3.75, 18.38) HU, respectively, and the difference between the two groups was statistically significant ( P=0.023). The average CT attenuation values of bladder urine were (7.81±6.15)HU and (7.22±7.50)HU, respectively, and there was no significant difference between the two groups ( P=0.780). The difference in average CT attenuation values between renal pelvis urine and bladder urine were -3.98(-7.54, 0.60)HU and 2.13 (-5.15, 9.36)HU, respectively, and the difference between the two groups was not statistically significant ( P=0.059); the white blood cells were 9.82(7.04, 12.46) ×10 9/L and 13.99(9.75, 18.44) ×10 9/L, respectively, and the difference between the two groups was statistically significant ( P=0.048). Platelet counts were (248.06±87.87)×10 9/L and (288.72±109.29)×10 9/L, respectively, and there was no statistical difference between the two groups ( P=0.189). The proportion of urine protein positive was higher in the pyonephrosis group (17 vs. 20, P=0.048). Between the two groups, sex, age, body mass index, clinical symptoms (with or without low back pain), surgical history of upper urinary tract stones, underlying diseases (including hypertension, diabetes, coronary heart disease, etc.), location of hydronephrosis (left, right, and both sides), reasons of obstruction [upper urinary tract stones, other factors (such as tumor, ureteral stricture, etc.)], haemoglobin, were not statistical different. There were no significant difference in blood glucose, blood potassium, blood sodium, urine leukocytes, urine erythrocytes, urine nitrite and urine culture ( P>0.05). Multivariate logistic regression analysis showed that the difference in average CT attenuation values between renal pelvis urine and bladder urine ( OR=1.196, 95% CI 1.055-1.437, P=0.018), white blood cells ( OR=1.252, 95% CI 1.036-1.615, P=0.038), and platelets ( OR=1.014, 95% CI 1.003-1.030, P=0.025) were independent predictors of pyonephrosis. According to the above indicators, the nomogram model was established and the AUC value of the model was 0.767 (95% CI 0.616-0.918), the sensitivity was 0.611 and the specificity was 0.935. The calibration curve showed that there is a good fit between the observed value and the predicted value. The DCA analysis showed that the nomogram model has a net gain in a wide threshold range, demonstrating its predictive accuracy and clinical practicality in predicting the risk of pyonephrosis. When the cut-off value of the difference between the average CT values of pyelonephritis and cystourethrosis was 6.54 HU, the AUC value of the independent prediction of pyonephrosis was 0.690(95% CI 0.564-0.816), the sensitivity was 0.444 and the specificity was 0.935. Conclusions:The difference in average CT attenuation values between renal pelvis urine and bladder urine is an independent risk factor for predicting pyonephrosis, and the nomogram constructed by combining it with white blood cells and platelets has a good predictive effect for predicting the risk of pyonephrosis. If the difference in average CT attenuation values between renal pelvis urine and bladder urine is greater than 6.54HU, it should be alert to the occurrence of pyonephrosis.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To analyze correlation between T-wave parameters and life-threatening arrhythmia(LTA)after percutaneous coronary intervention(PCI)in patients with acute myocardial infarction(AMI).Methods A total of 232 AMI patients admitted to Huzhou No.1 People's Hospital from May 2021 to March 2023 and treated with PCI were selected as subjects.They were divided into LTA group(n=36)and non LTA group(n=196)based on the presence of LTA within 72 hours after PCI.General information,clinical data,and T-wave parameter of two groups of patients were compared,and multivariate Logistic regression were used to analyze influencing factors.Results There were statistically significant difference in age,resting heart rate(RHR),Tp-Te/QT,and Tp-Tec between two groups(P＜0.05).The difference in anterior wall myocardial infarction,creatinine,and high-sensitivity cardiac troponin T(hs-cTnT)between two groups were statistically significant(P＜0.05).Age,RHR,Tp-Te/QT,Tp-Tec and hs-cTnT were the influencing factors of LTA in AMI patients after PCI(P＜0.05).Multivariate Logistic regression showed that age,Tp-Te/QT and hs-cTnT were independent influencing factors of LTA in AMI patients after PCI(P＜0.05).Conclusion AMI patients have a higher risk of life-threatening arrhythmia after PCI.Age,Tp-Te/QT and hs-cTnT are independent influencing factors of LTA after PCI.

AIM To establish an HPLC-MS/MS method for the simultaneous content determination of dehydrodiisoeugenol,eugenol,costiolactone,dehydrocostiolactone,quercetin,isorhamnetin,luteolin,caffeic acid,gallic acid,protocatechuic acid,ellagic acid and kaempferol in Anshen Buxin Liuwei Pills,and to make chemical pattern recognition.METHODS The analysis was performed on a 35 ℃ thermostatic Shim-pack GST-HP C18 column(2.1 mm × 100 mm,3 μm),with the mobile phase comprising of methanol-water(containing 0.1％formic acid)flowing at 0.25 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning with multiple reaction monitoring mode.Subsequently,cluster analysis,principal component analysis and orthogonal partial least square-discriminant analysis were performed.RESULTS Twelve constituents showed good linear relationships within their own ranges(r≥0.999 0),whose average recoveries were 95.38％-105.00％with the RSDs of 1.91％-5.14％.Thirteen batches of samples were clustered into 3 types,ellagic acid,dehydrocodenolactone,dehydrodiisoeugenol,protocatechuic acid,gallic acid,quercetin and kaempferol were taken as potential quality differential markers.CONCLUSION This accurate,sensitive,stable and reproducible method can be used for the quality control and evaluation of Anshen Buxin Liuwei Pills.

Objective To analyze risk factors for sleep disorders in patients with chronic heart failure(CHF)and construct a nomogram prediction model.Methods Using simple random sampling,306 hospital-ized CHF patients meeting inclusion criteria were enrolled from four Grade A tertiary hospitals in Guangxi Zhuang Autonomous Region(two in Nanning,one each in Yulin and Guilin)between March 2023 and March 2024.LASSO regression analysis was initially employed for variable screening,followed by logistic regression to identify predictive variables for constructing the nomogram model.Model validation and performance evalua-tion were conducted using receiver operating characteristic(ROC)curves,calibration curves,and clinical decision curves,with internal validation performed through Bootstrap resampling(1 000 iterations).Results The incidence of sleep disorders among the 306 patients was 57.5%(176/306).Logistic regression analysis identified eight independent risk factors for sleep disorders in CHF patients(P＜0.05):age,education level,monthly house-hold income per capita,NYHA cardiac function classification,number of comorbidities,triglyceride levels,ano-rexia,and anxiety.The model demonstrated good discrimination for the AUC of 0.91(95%CI:0.77-0.88)and calibration consistency.Conclusion The prediction model established in this study shows good predictive performance,serving as a valuable reference for healthcare providers to early identify sleep disorders and im-plement preventive care strategies in patients with CHF.