Objective To compare the efficacy and safety of sodium zirconium cyclosilicate and calcium polystyrene sulphonate in the treatment of hyperkalemia in chronic kidney disease(CKD).Methods Hospitalized patients with CKD hyperkalemia admitted to Qingyuan People's Hospital from January 2022 to November 2023 were retrospectively selected as study objects,and were divided into sodium zirconium cyclosilicate group and calcium polystyrene sulphonate group according to different drug use.The two groups of patients were matched with 1:1 propensity score,and finally 43 pairs of data were successfully matched.The efficacy and incidence of adverse reactions were compared between two groups of patients after matching.Results After treatment,the serum potassium level in both groups was significantly lower than that before treatment(P<0.05),but there was no significant difference in serum potassium level between two groups(P>0.05).There was no significant difference in the total effective rate between two groups(χ2=1.242,P=0.537).After treatment,the blood sodium level in sodium zirconium cyclosilicate group was significantly higher than that before treatment(P<0.05),there was no significant difference in blood calcium level before and after treatment(P>0.05).There was no significant difference in serum sodium and serum calcium before and after treatment in calcium polystyrene sulphonate group(P>0.05).There was one patient with hypokalemia in each group,and no treatment related adverse reactions such as nausea,edema,constipation,abdominal bloating and diarrhea were observed,and no abnormal laboratory test results were found.Conclusion The clinical efficacy of sodium zirconium cyclosilicate and calcium polystyrene sulphonate in treatment of hyperkalemia in CKD patients is comparable,and the safety is good.

Objective To investigate the incidence of ipsilateral upper urinary tract stones after partial nephrectomy and its risk factors.Methods We retrospectively analyzed baseline patient characteristics(age,gender,and body mass index),smoking,alcohol consumption,comorbidities(hypertension,diabetes,hypertriglyceridemia,hyperuricemia,and cardiovascular diseases),preoperative tumor conditions(tumor diameter,multiple foci,location,hemorrhage,necrosis,cystic changes,and endophytic growth),preoperative glomerular filtration rate and intraoperative factors(renal collecting system damage,ischemia time,operation time,surgical approach,and estimated intraoperative blood loss)to identify the risk factors for ipsilateral upper urinary tract stones following partial nephrectomy in our center.Results The overall incidence of upper urinary tract stones following partial nephrectomy was 7.80%(112/1435).The incidence of ipsilateral upper urinary tract stones was significantly higher than those of contralateral stones(4.95%vs 1.46%,P<0.001)and bilateral stones(4.95%vs 1.39%,P<0.001).Intraoperative damage to the renal collecting system was identified as a significant risk factor for ipsilateral upper urinary tract stones(OR=4.550,95%CI:2.237-9.252,P<0.001).Diabetes was a probable risk factor for secondary ipsilateral upper urinary tract stones after partial nephrectomy(OR=2.419,95%CI:0.973-6.012,P=0.057).Conclusions The incidence of ipsilateral upper urinary tract stones after partial nephrectomy is higher than that of contralateral and bilateral stones.Intraoperative renal collecting system damage is a risk factor for secondary ipsilateral upper urinary tract stones after partial nephrectomy.

Objective To compare the efficacy and safety of sodium zirconium cyclosilicate and calcium polystyrene sulphonate in the treatment of hyperkalemia in chronic kidney disease(CKD).Methods Hospitalized patients with CKD hyperkalemia admitted to Qingyuan People's Hospital from January 2022 to November 2023 were retrospectively selected as study objects,and were divided into sodium zirconium cyclosilicate group and calcium polystyrene sulphonate group according to different drug use.The two groups of patients were matched with 1:1 propensity score,and finally 43 pairs of data were successfully matched.The efficacy and incidence of adverse reactions were compared between two groups of patients after matching.Results After treatment,the serum potassium level in both groups was significantly lower than that before treatment(P<0.05),but there was no significant difference in serum potassium level between two groups(P>0.05).There was no significant difference in the total effective rate between two groups(χ2=1.242,P=0.537).After treatment,the blood sodium level in sodium zirconium cyclosilicate group was significantly higher than that before treatment(P<0.05),there was no significant difference in blood calcium level before and after treatment(P>0.05).There was no significant difference in serum sodium and serum calcium before and after treatment in calcium polystyrene sulphonate group(P>0.05).There was one patient with hypokalemia in each group,and no treatment related adverse reactions such as nausea,edema,constipation,abdominal bloating and diarrhea were observed,and no abnormal laboratory test results were found.Conclusion The clinical efficacy of sodium zirconium cyclosilicate and calcium polystyrene sulphonate in treatment of hyperkalemia in CKD patients is comparable,and the safety is good.

Iron is one of the essential trace elements for the human body,which is crucial for the growth and development of newborns,especially premature infants.It participates in the generation of hemoglobin,affects the activity of various enzymes,and subsequently affects neurometabolism,neurochemistry,neuroanatomy,and gene/protein composition,thereby having a lasting impact on the development of the central nervous system.This article reviews the research progress on the relationship between iron metabolism and neurodevelopment in premature infants in recent years,aiming to provide scientific basis for clinical management and preventive intervention of premature infants.

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]

The clinical data and genetic characteristics of one child with mental retardation-56 (MRD56) diagnosed at the Department of Neonatology, Foshan Fosun Chancheng Hospital in October 2021 were retrospectively analyzed.The patient was admitted to the hospital with " 34 + 2 weeks of preterm birth, shortness of breath, and dyspnea for 0.5 hours". In the neonatal period, the patient had special facial features, hypotonia, weaning and feeding difficulties, laryngeal stridor.In infancy, the patient showed global psychomotor development delay, intellectual disability, epilepsy, etc.Magnetic resonance imaging of the brain showed delayed myelination and dysplasia of the cerebellum and corpus callosum.Whole-exome sequencing showed that the CLTC gene had a new missense mutation c.3334T>C (p.Trp1112Arg), and MRD56 was confirmed.A total of 32 cases of MRD56 were reported worldwide, with special facial features, intellectual disability, and psychomotor retardation as the main clinical manifestations.The cause is a mutation in the CLTC gene, which leads to abnormality in the structure of the clathrin encoded, thus affecting neurotransmitter transmission.This is the first report of MRD56 caused by the CLTC gene mutation in China, and a new clinical phenotype has been discovered.The finding enriches the phenotypic spectrum of the disease and provides a basis for clinicians to understand and study the disease.

To investigate the in vitro inhibitory mechanism of Nymphaea candida total flavonoids(NCTF)against Staphylococcus aureus(S.aureus)and its safety in mice,this study first deter-mined the antibacterial effect of NCTF on the clinically isolated strain S.aureus-C1.Subsequently,the inhibitory mechanism of NCTF on S.aureus-C1 was explored by measuring its effects on bac-terial growth curves,microstructure,intracellular AKP and LDH levels,and biofilm formation.Safety evaluation included determination of LD50 and MDT in mice,as well as analysis of serum biochemical parameters,organ indices,and histopathological observations.Results showed that NCTF effectively inhibited S.aureus-C1 proliferation,with an inhibition zone diameter of(18.98±0.67)mm and a MIC of 6.25 g/L.A concentration of 2×MIC nearly completely suppressed bacte-rial growth.Scanning electron microscopy revealed structural damage to bacterial cells,including collapse and shrinkage.AKP and LDH assays indicated significantly increased AKP activity(P＜0.05)and decreased intracellular LDH activity(P＜0.05)in the supernatant of drug-treated groups,demonstrating NCTF-induced disruption of cell walls and membranes leading to leakage of AKP and LDH.Crystal violet staining of biofilms showed significant inhibition rates of(43.77±9.16)％and(61.71±9.82)％at 2 × MIC and 4 × MIC concentrations,respectively(P＜0.05).Safe-ty assessments indicated low toxicity of NCTF in mice,with transient effects that returned to nor-mal levels within a short period.These findings demonstrate that NCTF exhibits potent antibacte-rial activity against S.aureus-C1 by damaging bacterial cell structures,increasing cell wall/mem-brane permeability,reducing biofilm formation,and displaying low toxicity.This study provides scientific evidence for clinical drug screening against bovine mastitis and the development of Nym-phaea candida resources.

To investigate the in vitro inhibitory mechanism of Nymphaea candida total flavonoids(NCTF)against Staphylococcus aureus(S.aureus)and its safety in mice,this study first deter-mined the antibacterial effect of NCTF on the clinically isolated strain S.aureus-C1.Subsequently,the inhibitory mechanism of NCTF on S.aureus-C1 was explored by measuring its effects on bac-terial growth curves,microstructure,intracellular AKP and LDH levels,and biofilm formation.Safety evaluation included determination of LD50 and MDT in mice,as well as analysis of serum biochemical parameters,organ indices,and histopathological observations.Results showed that NCTF effectively inhibited S.aureus-C1 proliferation,with an inhibition zone diameter of(18.98±0.67)mm and a MIC of 6.25 g/L.A concentration of 2×MIC nearly completely suppressed bacte-rial growth.Scanning electron microscopy revealed structural damage to bacterial cells,including collapse and shrinkage.AKP and LDH assays indicated significantly increased AKP activity(P＜0.05)and decreased intracellular LDH activity(P＜0.05)in the supernatant of drug-treated groups,demonstrating NCTF-induced disruption of cell walls and membranes leading to leakage of AKP and LDH.Crystal violet staining of biofilms showed significant inhibition rates of(43.77±9.16)％and(61.71±9.82)％at 2 × MIC and 4 × MIC concentrations,respectively(P＜0.05).Safe-ty assessments indicated low toxicity of NCTF in mice,with transient effects that returned to nor-mal levels within a short period.These findings demonstrate that NCTF exhibits potent antibacte-rial activity against S.aureus-C1 by damaging bacterial cell structures,increasing cell wall/mem-brane permeability,reducing biofilm formation,and displaying low toxicity.This study provides scientific evidence for clinical drug screening against bovine mastitis and the development of Nym-phaea candida resources.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]