In October 2024, a 36-year-old female patient with botulinum toxin type A intoxication for 15d was admitted to the Department of Neurology of Northern Jiangsu People’s Hospital. Although type A botulinum antitoxin (BAT) therapy remained effective, the patient developed a serum sickness-like reaction (SSLR) on day 4 of treatment after receiving eight consecutive desensitizing intramuscular injections of BAT. After stopping the injection of the drug and giving intravenous dexamethasone, the patient’s symptoms improved. On the 6th day after stopping the injection of botulinum antitoxin type A, the patient was followed up in the outpatient clinic and the skin symptoms had almost disappeared. This article analyzed the patient’s medical records and explored the association between BAT and SSLR, suggesting that medical personnel should be alert to the risk of adverse reactions when applying antitoxin therapy, and that they should identify and intervene in a timely manner in order to ensure the safety of the medication and therapeutic efficacy of the patients.

The paper summarizes the medication rules of Professor Zou Yanqin,a master of traditional Chinese medicine,in the treatment of membranous nephropathy by"sweet supplementation and bland percolation method".Professor Zou believes that spleen and kidney deficiency and damp-heat stasis are the basic pathogenesis of membranous nephropathy.The pathogenesis evolves in a com-plex way,leading to a variety of syndromes.Invigorating the spleen and kidney,clearing away damp-heat and removing blood stasis are the key to treatment.Therefore,she follows the concept of the"harmonizing method and gentle treatment"of the Menghe Medicine School and takes the"sweet supplementation and bland percolation method"as the basis of all treatment principles for membranous ne-phropathy.This article systematically expounds Professor Zou Yanqin's thinking and prescription rules for treating membranous ne-phropathy using the"sweet supplementation and bland percolation method"from three aspects:sweet and warm to tonify qi,sweet and cool to moistening,and bland flavor to promote diuresis and facilitate fluid expulsion.

Objective:To systematically integrate the lived experiences of women regarding decision-making participation and informed choice during intrapartum care, providing evidence-based guidance for improving obstetric healthcare management and service quality, and enhancing women′s childbirth experiences.Methods:Computerized searches were conducted in PubMed, Web of Science, Cochrane Library, CINAHL, PsycINFO, Scopus, ProQuest, China National Knowledge Infrastructure, Wanfang, Chinese Scientific Journals Database, and China Biology Medicine disc for qualitative studies on women′s experiences of shared decision-making participation and informed choice during childbirth. The search period spanned from January 1, 1997 to August 15, 2024. Literature quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research. Meta-aggregation was employed to synthesize findings by grouping similar results into new categories and integrating outcomes based on logical relationships between categories.Results:Eleven studies were included, yielding 47 key findings synthesized into 10 categories and further integrated into four overarching themes: complex emotional experiences in intrapartum decision-making participation; Diverse coping strategies for intrapartum decision-making participation; multiple stressors faced during intrapartum decision-making participation; multifaceted support needs in intrapartum decision-making participation.Conclusions:Midwives and healthcare providers should deliver education on shared decision-making and informed choice during the third trimester. Continuous attention to maternal emotional shifts regarding decision-making participation and informed choice during labor is essential. Comprehensive decision support, effective intrapartum communication, and initiatives to promote maternal autonomy through empowerment and capacity building should be prioritized.

The paper summarizes the medication rules of Professor Zou Yanqin,a master of traditional Chinese medicine,in the treatment of membranous nephropathy by"sweet supplementation and bland percolation method".Professor Zou believes that spleen and kidney deficiency and damp-heat stasis are the basic pathogenesis of membranous nephropathy.The pathogenesis evolves in a com-plex way,leading to a variety of syndromes.Invigorating the spleen and kidney,clearing away damp-heat and removing blood stasis are the key to treatment.Therefore,she follows the concept of the"harmonizing method and gentle treatment"of the Menghe Medicine School and takes the"sweet supplementation and bland percolation method"as the basis of all treatment principles for membranous ne-phropathy.This article systematically expounds Professor Zou Yanqin's thinking and prescription rules for treating membranous ne-phropathy using the"sweet supplementation and bland percolation method"from three aspects:sweet and warm to tonify qi,sweet and cool to moistening,and bland flavor to promote diuresis and facilitate fluid expulsion.

In October 2024, a 36-year-old female patient with botulinum toxin type A intoxication for 15d was admitted to the Department of Neurology of Northern Jiangsu People’s Hospital. Although type A botulinum antitoxin (BAT) therapy remained effective, the patient developed a serum sickness-like reaction (SSLR) on day 4 of treatment after receiving eight consecutive desensitizing intramuscular injections of BAT. After stopping the injection of the drug and giving intravenous dexamethasone, the patient’s symptoms improved. On the 6th day after stopping the injection of botulinum antitoxin type A, the patient was followed up in the outpatient clinic and the skin symptoms had almost disappeared. This article analyzed the patient’s medical records and explored the association between BAT and SSLR, suggesting that medical personnel should be alert to the risk of adverse reactions when applying antitoxin therapy, and that they should identify and intervene in a timely manner in order to ensure the safety of the medication and therapeutic efficacy of the patients.

Objective:To systematically integrate the lived experiences of women regarding decision-making participation and informed choice during intrapartum care, providing evidence-based guidance for improving obstetric healthcare management and service quality, and enhancing women′s childbirth experiences.Methods:Computerized searches were conducted in PubMed, Web of Science, Cochrane Library, CINAHL, PsycINFO, Scopus, ProQuest, China National Knowledge Infrastructure, Wanfang, Chinese Scientific Journals Database, and China Biology Medicine disc for qualitative studies on women′s experiences of shared decision-making participation and informed choice during childbirth. The search period spanned from January 1, 1997 to August 15, 2024. Literature quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research. Meta-aggregation was employed to synthesize findings by grouping similar results into new categories and integrating outcomes based on logical relationships between categories.Results:Eleven studies were included, yielding 47 key findings synthesized into 10 categories and further integrated into four overarching themes: complex emotional experiences in intrapartum decision-making participation; Diverse coping strategies for intrapartum decision-making participation; multiple stressors faced during intrapartum decision-making participation; multifaceted support needs in intrapartum decision-making participation.Conclusions:Midwives and healthcare providers should deliver education on shared decision-making and informed choice during the third trimester. Continuous attention to maternal emotional shifts regarding decision-making participation and informed choice during labor is essential. Comprehensive decision support, effective intrapartum communication, and initiatives to promote maternal autonomy through empowerment and capacity building should be prioritized.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Macrophages play an important role in the development of inflammation,the core mechanism of athero-sclerosis.In recent years,nanotechnology has provided a new perspective for the diagnosis and treatment of atherosclerosis with its unique characteristics of biological compatibility and precise targeting.In this paper,the patholog-ical mechanism of atherosclerosis,the realization of atherosclerosis imaging by targeting macrophages with nanomaterials and the application of macrophage cell membrane biomimetic nanoparticles in anti-atherosclerosis were reviewed.