Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

OBJECTIVE To construct three-class （insufficient， normal， excessive） and two-class （insufficient， normal） models for predicting plasma concentration of valproic acid （VPA）， and compare the performance of these two models， with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 （a total of 695 sets of data）. In this study， predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation， and the performance of the models was evaluated using three indexes: accuracy， F1 score， and the area under the working characteristic curve of the subject （AUC）. RESULTS XGBoost feature importance scores revealed that in the three-class model， the importance ranking of kidney disease and electrolyte disorders was higher. However， in the two-class model， the importance ranking of these features significantly decreased， suggesting a close association with the excessive blood concentration of VPA. In the three-class model， Random Forest method performed best， with F1 score of 0.704 0 and AUC of 0.519 3 on the test set； while in the two-class model， CatBoost method performed optimally， with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration， but its prediction and model generalization abilities are poor； the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases， but its model performance is stronger.

ObjectiveTo evaluate the clinical efficacy and safety of Qidan Tangshen Granules （芪丹糖肾颗粒， QTG） in the treatment of early diabetic kidney disease （DKD） with qi deficiency， blood stasis， and kidney deficiency syndrome， and to explore its mechanism. MethodsA double-blind， double-simulated method was used to enroll 200 patients with early DKD and qi deficiency， blood stasis， and kidney deficiency syndrome. Patients were randomly assigned in a 1∶1 ratio to the treatment group （100 cases） and the control group （100 cases）. The treatment group received QTG plus a valsartan capsule simulant， while the control group received valsartan capsules plus a QTG simulant， both for 12 weeks. The primary outcome was the urinary albumin-to-creatinine ratio （UACR）. Secondary outcomes included estimated glomerular filtration rate （eGFR）， fasting blood glucose （FBG）， 2-hour postprandial blood glucose （PBG）， glycated hemoglobin （HbA1c）， and traditional Chinese medicine （TCM） syndrome scores （including individual symptom scores for fatigue， dull complexion， soreness and weakness of the waist and knees， headache and chest pain， irritability， spontaneous sweating， thirst and polydipsia， polyphagia， polyuria， numbness of the limbs， and the total TCM syndrome score）. Oxidative stress markers including serum 8-hydroxy-2'-deoxyguanosine （8-OHDG）， 3-nitrotyrosine （3-NT）， and superoxide dismutase （SOD） were also assessed. Clinical efficacy and TCM syndrome efficacy were evaluated after treatment， and routine blood tests， urinalysis， and liver function tests were conducted and adverse reaction during the tria was recorded to assess safety. ResultsA total of 191 patients completed the study （95 in the treatment group and 96 in the control group）. The treatment group showed significant reductions in UACR， FBG， PBG， and HbA1c levels after treatment （P＜0.05 or P＜0.01）. The single TCM symptom scores except for polyphagia and total TCM syndrome scores significantly decreased （P＜0.05 or P＜0.01）. Compared to the control group， the treatment group had signi-ficantly lower UACR， FBG， PBG levels， and total TCM syndrome scores， sinlge symptoms scores except for polyphagia and limb numbness （P＜0.05 or P＜0.01）. Among 40 randomly selected patients （21 cases in the treatment group and 19 cases in the control group） for oxidative stress analysis， there were no significant differences in SOD， 3-NT， and 8-OHDG levels before and after treatment within or between groups （P＞0.05）. The overall effective rate in the treatment group was 64.2% （61/95） and 39.6% （38/96） in the control group， while the TCM syndrome efficacy rates were 80.0% （76/95） and 24.0% （23/96）， respectively， with the treatment group showing superior efficacy （P＜0.01）. No significant differences were observed in routine blood tests， urinalysis， or liver function indices before and after treatment in either group （P＞0.05）. The incidence of adverse reactions was 8.4% （8/95） in the treatment group and 9.4% （9/96） in the control group， with no statistically significant difference （P＞0.05）. ConclusionQTG can effectively reduce UACR and blood glucose levels， alleviate clinical symptoms， and improve clinical efficacy in patients with early DKD with qi deficiency， blood stasis， and kidney deficiency syndrome. The treatment is well-tolerated and safe， with no significant impact on oxidative stress markers.

ObjectiveTo investigate the infestation of bedbugs in a staff dormitory in Jiading District, Shanghai, to explore the measures to dispose Cimex lectularius linnaeus, so as to provide a scientific basis for the prevention and control of bedbugs. MethodsThe infestation of bedbugs in the dormitory of the company was determined through field investigation, accompanied by scientific guidance under the comprehensive control measures and an effect evaluation of the control results. ResultsA total of 114 rooms distributed in 3 dormitory buildings were investigated, with an average infestation rate of 42.11%, of which building B has the highest infestation rate of 51.52%. Six bedbug specimens were collected by visual inspection in the room, and all of them were identified as Cimex lectularius linnaeus. After a series of comprehensive control measures including environmental cleanup, aerosol elimination, replacement of wooden beds with iron frame beds, and purchase of all-inclusive mattress, the bedbug infestation rate dropped to 5.26%. ConclusionComprehensive control can effectively prevent the breeding and spread of bedbugs. Dissemination and education effort should be strengthened in case of the occurrence of bedbug infestation, together with an implementation of long-term and continuous surveillance and monitoring.

Edema， as a common pathological phenomenon， is essentially the abnormal accumulation of body fluids in the interstitial spaces of human tissues and is often a direct manifestation of various underlying diseases， such as heart failure， impaired renal filtration function， or liver metabolic disorders. In the Western medical system， strategies for treating edema primarily focus on the use of diuretics to promote the excretion of excess fluid in the body， while simultaneously addressing the underlying causes through targeted treatment. However， long-term reliance on the use of diuretics may lead to a decrease in drug sensitivity and induce side effects， including electrolyte disorders such as hypokalemia and hypercalcemia， posing a potential threat to patients' overall health. Compared with Western medicine， traditional Chinese medicine （TCM） has demonstrated well-recognized and sustained efficacy in treating edema with its unique theoretical system. Zhulingtang， as a classic and commonly used TCM formula， is widely applied as it can effectively relieve edema and related symptoms. In recent years， ongoing in-depth studies on the treatment of edema with Zhulingtang have revealed multiple mechanisms of action of Zhulingtang， including the regulation of water metabolism and the reduction of inflammatory responses， thereby providing a solid theoretical basis for clinical practice. This review summarized the research progress on the treatment of edema with Zhulingtang in recent years and analyzed the active ingredients and action pathways of Zhulingtang. Additionally， the primary mechanisms of action and efficacy were systematically analyzed， so as to provide references for the clinical application of Zhulingtang in treating various types of edema， such as cardiogenic edema， renal edema， and hepatogenic edema. This review aims to offer theoretical support and practical guidance for clinicians in deciding treatment approaches， as well as references for subsequent in-depth studies， thereby promoting further development of TCM in the treatment of edema.

Edema， as a common pathological phenomenon， is essentially the abnormal accumulation of body fluids in the interstitial spaces of human tissues and is often a direct manifestation of various underlying diseases， such as heart failure， impaired renal filtration function， or liver metabolic disorders. In the Western medical system， strategies for treating edema primarily focus on the use of diuretics to promote the excretion of excess fluid in the body， while simultaneously addressing the underlying causes through targeted treatment. However， long-term reliance on the use of diuretics may lead to a decrease in drug sensitivity and induce side effects， including electrolyte disorders such as hypokalemia and hypercalcemia， posing a potential threat to patients' overall health. Compared with Western medicine， traditional Chinese medicine （TCM） has demonstrated well-recognized and sustained efficacy in treating edema with its unique theoretical system. Zhulingtang， as a classic and commonly used TCM formula， is widely applied as it can effectively relieve edema and related symptoms. In recent years， ongoing in-depth studies on the treatment of edema with Zhulingtang have revealed multiple mechanisms of action of Zhulingtang， including the regulation of water metabolism and the reduction of inflammatory responses， thereby providing a solid theoretical basis for clinical practice. This review summarized the research progress on the treatment of edema with Zhulingtang in recent years and analyzed the active ingredients and action pathways of Zhulingtang. Additionally， the primary mechanisms of action and efficacy were systematically analyzed， so as to provide references for the clinical application of Zhulingtang in treating various types of edema， such as cardiogenic edema， renal edema， and hepatogenic edema. This review aims to offer theoretical support and practical guidance for clinicians in deciding treatment approaches， as well as references for subsequent in-depth studies， thereby promoting further development of TCM in the treatment of edema.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.