[Objective]To construct a prediction model for brucellosis by using a deep neural network algorithm to improve the early detection.[Methods]We collected the clinical data of 202 brucellosis patients and 319 non-brucellosis patients admitted to Hohhot Occupational Disease Prevention and Treatment Hospital in 2023,and analyzed data such as gender,age,blood routine indices and clinical diagnosis.A prediction model for brucellosis was constructed by using a deep neural network algorithm and optimized through 10-fold cross-validation.Performance metrics included sensitivity,false negative rate,specificity,false positive rate,accuracy,positive predictive value,negative predictive value,F1 score,and area under the receiver operating characteristic curve(AUC).The optimal model was interpreted by using SHapley Additive exPlanations(SHAP)to clarify decision-making logic and feature influencing mechanisms.[Results]Data visualization analysis revealed no significant difference between brucellosis and non-brucellosis groups.The optimal model demonstrated good performance:sensitivity(85.3%),specificity(92.1%),accuracy(89.5%),AUC(96.6%),95%CI(0.937,0.977).SHAP analysis identified age,platelet count,mean platelet volume,basophil ratio,red blood cell distribution width,and absolute basophil count as significant predictors of brucellosis.[Conclusions]The deep neural network prediction model constructed in this study has good performance and can provide reliable support for the early diagnosis,prevention and control of brucellosis.Identification of key brucellosis-related influencing features will help further understand the pathogenesis of the disease,and this model holds promise for broad clinical application in the future.

Background The residues of pharmaceutical and personal care products (PPCPs) in aquatic environments have become an increasingly prominent urban pollution issue, attracting widespread attention. The analysis of PPCPs pollution in water environments holds profound implications in Zhengzhou, a strategically important city in central China. Objective To analyze the pollution characteristics of PPCPs, such as antidepressants and antibiotics, in rivers of Zhengzhou and assess associated ecological risk. Methods Water samples were collected from three rivers of Zhengzhou, and 13 PPCPs (5 antibiotics and 8 antidepressants) were analyzed quantitatively by high performance liquid chromatography-triple quadrupole mass spectrometry (HPLC-MS/MS) after automatic solid phase extraction. Risk quotient (RQ) was applied to assess ecological risk of PPCPs with high concentration. Results The primary antibiotics pollutants were norfloxacin and ofloxacin, both with a detection rate of 100%. Among antidepressants, venlafaxine and citalopram showed the highest detection rates at 92.3% and 88.5%, respectively. The detected antibiotics with the highest average concentrations included ofloxacin and sulfamethoxazole with concentrations of 99.8 ng·L⁻¹and 96.2 ng·L⁻¹, respectively, while antidepressants venlafaxine and citalopram were detected with the highest average concentrations of 15.2 ng·L⁻¹and 1.35 ng·L⁻¹, respectively. The inter-river comparisons revealed statistically significant differences in contaminant loads (P<0.05). The sums of average PPCP concentrations at sampling points in the Jialu River and Suoxu River were 83.4 ng·L⁻¹ and 100.4 ng·L⁻¹, respectively. The Xiaoqing River exhibited higher pollution levels than both the Jialu and Suoxu Rivers, with a total average concentration of 478.4 ng·L⁻¹, where ofloxacin and sulfamethoxazole were identified as the predominant pollutants. The results of ecological risk assessment indicated the RQ contributed by sulfamethoxazole ranged between 0.50−0.95 in the Xiaoqing River, suggesting a controllable risk but requiring prioritized mitigation strategies. The RQ values of norfloxacin were distributed within the range of 0.10-0.30, indicating a moderate ecological risk. The RQ values for ofloxacin and venlafaxine remained below 0.10, indicating a lower risk level. Conclusion PPCPs contamination is positive in the rivers of Zhengzhou, and sulfamethoxazole and ofloxacin are the primary cantaminants. The Xiaoqing River exhibits the highest pollution levels. The initial risk assessment show that sulfamethoxazole and norfloxacin pose potential ecological risks, requiring prioritized contamination management.

AIM: To compare the visual quality in patients with low-to-moderate myopia after 0.05 D interval spherical lens optometry-guided small-incision lenticule extraction(SMILE)and conventional 0.25 D interval spherical lens optometry-guided SMILE.METHODS: Retrospective study. A total of 400 cases(400 eyes)with low-to-moderate myopia that underwent SMILE in the ophthalmology department of 989th Hospital of Joint Logistic Support Force from August 2021 to August 2023 were enrolled and the data from the right eyes were collected for analysis. According to the method of optometry test modality, they were divided into 0.05 D group and 0.25 D group, with 200 eyes in each group. The differences were compared between the two groups of patients in intraoperative corneal ablation thickness, uncorrected distance visual acuity(UDVA), high-order corneal aberrations(HOA), spherical aberrations, vertical coma, horizontal coma and trefoil aberrations before and at 1, 3 and 6 mo after surgery. Additionally, the percentage of eyes with residual spherical equivalent(SE)≤±0.25 D, postoperative visual symptoms and scores on the quality of visual(Qov)were compared between the two groups at 6 mo after surgery.RESULTS: The corneal ablation thickness in the 0.05 D group was 92.78±16.56 μm, which was slightly higher than that in the 0.25 D group(83.24±17.33 μm; P<0.001). The UDVA at each postoperative time point in the 0.05 D group was superior to that in the 0.25 D group(all P<0.001). The HOA, spherical aberration, horizontal coma and vertical coma in the two groups at 1, 3 and 6 mo after operation were higher than those before operation(all P<0.05). The spherical aberration in the 0.05 D group at each time point after surgery were higher than those in the 0.25 D group, and vertical coma were lower than those in the 0.25 D group(all P<0.05). At 6 mo postoperatively, the percentage of eyes with residual SE ≤±0.25 D in the 0.05 D group was 97.5%(195 eyes), which was higher than 87.5%(175 eyes)in the 0.25 D group(P<0.05). The most common adverse visual symptoms after SMILE in both groups were hazy vision and glare. The total Qov score in the 0.05 D group was 0.35(0.24, 0.55), which was lower than [0.62(0.32, 0.89)] in the 0.25 D group(P<0.05).CONCLUSION: Compared with conventional 0.25 D interval spherical lens optometry-guided SMILE, the 0.05 D interval spherical lens optometry-guided SMILE for the correction of low-to-moderate myopia has better predictability and can achieve better vision and visual quality.

Diabetic kidney disease (DKD) is one of most common microvascular complications of diabetes mellitus. A subset of patients with DKD may experience rapid disease progression, ultimately developing end-stage renal disease. The timing of hemodialysis initiation is a critical influencing factor of the survival outcomes in end-stage renal disease patients undergoing dialysis. However, a unified standard for the optimal timing of hemodialysis initiation in DKD patients is currently lacking, and the issue remains controversial in clinical practice. This article reviews research progress on the timing of hemodialysis in patients with DKD, covering aspects such as the current status of hemodialysis treatment, advances in research on hemodialysis timing, relevant guidelines, intentional delayed dialysis strategies, and evaluation criteria for dialysis timing to provide a reference for scientifically developing hemodialysis initiation plans and strategies in clinical practice.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

[Objective]To construct a prediction model for brucellosis by using a deep neural network algorithm to improve the early detection.[Methods]We collected the clinical data of 202 brucellosis patients and 319 non-brucellosis patients admitted to Hohhot Occupational Disease Prevention and Treatment Hospital in 2023,and analyzed data such as gender,age,blood routine indices and clinical diagnosis.A prediction model for brucellosis was constructed by using a deep neural network algorithm and optimized through 10-fold cross-validation.Performance metrics included sensitivity,false negative rate,specificity,false positive rate,accuracy,positive predictive value,negative predictive value,F1 score,and area under the receiver operating characteristic curve(AUC).The optimal model was interpreted by using SHapley Additive exPlanations(SHAP)to clarify decision-making logic and feature influencing mechanisms.[Results]Data visualization analysis revealed no significant difference between brucellosis and non-brucellosis groups.The optimal model demonstrated good performance:sensitivity(85.3%),specificity(92.1%),accuracy(89.5%),AUC(96.6%),95%CI(0.937,0.977).SHAP analysis identified age,platelet count,mean platelet volume,basophil ratio,red blood cell distribution width,and absolute basophil count as significant predictors of brucellosis.[Conclusions]The deep neural network prediction model constructed in this study has good performance and can provide reliable support for the early diagnosis,prevention and control of brucellosis.Identification of key brucellosis-related influencing features will help further understand the pathogenesis of the disease,and this model holds promise for broad clinical application in the future.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Diabetic kidney disease (DKD) is one of most common microvascular complications of diabetes mellitus. A subset of patients with DKD may experience rapid disease progression, ultimately developing end-stage renal disease. The timing of hemodialysis initiation is a critical influencing factor of the survival outcomes in end-stage renal disease patients undergoing dialysis. However, a unified standard for the optimal timing of hemodialysis initiation in DKD patients is currently lacking, and the issue remains controversial in clinical practice. This article reviews research progress on the timing of hemodialysis in patients with DKD, covering aspects such as the current status of hemodialysis treatment, advances in research on hemodialysis timing, relevant guidelines, intentional delayed dialysis strategies, and evaluation criteria for dialysis timing to provide a reference for scientifically developing hemodialysis initiation plans and strategies in clinical practice.

AIM: To investigate the early visual quality after 0.05 D interval spherical lens optometry-guided small incision lenticule extraction(SMILE)for the correction of different degrees of myopia.METHODS: Retrospective study. A total of 200 cases(200 eyes)that underwent SMILE at the 989th Hospital of Joint Logistic Support Force from May to September 2023 were selected. The 0.05 D optometry was used to measure diopter. According to the preoperative spherical equivalent(SE), they were divided into low-to-moderate myopic group(>-6.0 D)and high myopic group(≤-6.0 D), with 100 eyes in each group. The total high-order corneal aberration(HOA), spherical aberration, coma and trefoil aberration were compared between the two groups preoperatively and at 6 mo postoperatively, and the quality of vision questionnaire was completed.RESULTS: The HOA, spherical aberration and vertical coma aberration in the two groups at 6 mo after operation were significantly higher than those before operation(all P<0.05). At 6 mo postoperatively, the HOA, spherical aberration and vertical coma aberration in the low-to-moderate myopic group were lower than those in the high myopic group(all P<0.05). The scores of the quality of vision questionnaire, near vision, night vision, night glare and visual fatigue in the low-to-moderate myopic group were all higher than those in the high myopic group(all P<0.05).CONCLUSION: Both low-to-moderate myopia and high myopia after the 0.05 D interval spherical lens optometry-guided SMILE had some visual symptoms, but great visual quality can be obtained after surgery.

The current production of Chinese herbal decoction pieces faces several issues including strong subjectivity,unstable quality,low production efficiency,and a lack of intelligent systems.In order to expedite the intelligent transformation and upgrading of Chinese medicine processing,this paper delves deeply into the problems and challenges encountered in establishing a digital and intel-ligent production model for Chinese herbal pieces.Addressing the slow progress in fundamental research on traditional Chinese medi-cine processing mechanisms,the absence of online digital quality characterization techniques,the low level of production equipment in-telligence,and the lack of evaluation standards for high-quality decoction pieces,this paper proposes a"New Quality Productive Forces"formation approach driven by technological innovation.Through interdisciplinary integration methods,the paper explores the mechanisms of Chinese medicine processing in depth,clarifies the correlation between the processing procedures and the"medicinal properties-quality"relationship,and employs bionic sensing and artificial intelligence to achieve a holistic quality characterization of decoction pieces.Additionally,the use of cloud-edge collaborative big data systems is proposed to enhance intelligent upgrades of the production lines.The paper also aims to establish a high-quality decoction piece evaluation system integrating"physical-chemical-bio-logical"multimodal data fusion.This approach aims to steer the Chinese medicine processing towards becoming more efficient,precise,and sustainable,thereby promoting high-quality sustainable development of the Chinese herbal decoction industry and providing both theoretical and practical support for the modernization of traditional Chinese medicine.