OBJECTIVES: To evaluate the impact of HBV infection on pre- and postpartum health-related quality of life (HRQoL) in pregnant women. METHODS: A prospective matched cohort consisting of 70 HBV-infected and 70 healthy pregnant women was recruited from the Fifth Affiliated Hospital of Guangzhou Medical University between April 17 and September 25, 2023. HRQoL of the participants was assessed at 16-24 weeks of gestation, between 32 weeks and delivery, and 5-13 weeks postpartum. Mixed linear models were used for evaluating temporal trends of HRQoL changes, and univariate ANOVA with multiple linear regression was used to identify the predictors of HRQoL. RESULTS: Compared with healthy pregnant women, HBV-infected pregnant women had consistently lower total HRQoL scores across all the 3 intervals, with the lowest scores observed between 32 weeks of gestation and delivery, during which these women had significantly reduced mental component scores (74.27±13.43 vs 80.21±12.9, P=0.009) and postpartum mental (76.52±16.19 vs 85.02±6.51, P<0.001) and physical component scale scores (77.17±14.71 vs 83.09±10.1, P=0.009). HBV infection was identified as an independent risk factor affecting HRQoL during late pregnancy and postpartum periods. Additional independent risk factors for postpartum HRQoL reduction included self-pay medical expenses, spouse's neutral attitude toward the current pregnancy, and preexisting comorbidities (all P<0.05). CONCLUSIONS HRQoL of pregnant women deteriorates progressively in late pregnancy, and HBV infection exacerbates reductions of physical function and role emotion in late pregnancy and after delivery, suggesting the importance of targeted interventions for financial burdens, partner support and comorbid conditions to improve HRQoL of pregnant women with HBV infection.
Humans ; Female ; Pregnancy ; Quality of Life ; Prospective Studies ; Postpartum Period ; Hepatitis B, Chronic/psychology* ; Adult ; Pregnancy Trimester, Third ; Pregnancy Trimester, Second ; Pregnancy Complications, Infectious

OBJECTIVE: To identify the optimal machine learning algorithm for predicting post-stroke epilepsy (PSE) within one year following acute stroke, establish a nomogram model based on this algorithm, and perform external validation to achieve accurate prediction of secondary epilepsy. METHODS: A total of 870 acute stroke patients admitted to the emergency department of Xiang'an Hospital of Xiamen University from June 2019 to June 2023 were enrolled for model development (model group). An external validation cohort of 435 acute stroke patients admitted to the Fifth Hospital of Xiamen during the same period was used to validate the machine learning algorithms and nomogram model. Patients were classified into control and epilepsy groups based on the development of PSE within one year. Clinical and laboratory data, including baseline characteristics, stroke location, vascular status, complications, hematologic parameters, and National Institutes of Health Stroke Scale (NIHSS) score, were collected for analysis. Nine machine learning algorithms such as logistic regression, CN2 rule induction, K-nearest neighbors, adaptive boosting, random forest, gradient boosting, support vector machine, naive Bayes, and neural network were applied to evaluate predictive performance. The area under the curve (AUC) of receiver operator characteristic curve (ROC curve) was used to identify the optimal algorithm. Logistic regression was used to screen risk factors for PSE, and the top 10 predictors were selected to construct the nomogram model. The predictive performance of the model was evaluated using the ROC curve in both the model and validation groups. RESULTS: Among the 870 patients in the model group, 29 developed PSE within one year. Among the nine algorithms tested, logistic regression demonstrated the best performance and generalizability, with an AUC of 0.923. Univariate logistic regression identified several risk factors for PSE, including platelet count, white blood cell count, red blood cell count, glycated hemoglobin (HbA1c), C-reactive protein (CRP), triglycerides, high-density lipoprotein (HDL), aspartate aminotransferase (AST), alanine aminotransferase (ALT), activated partial thromboplastin time (APTT), thrombin time, D-dimer, fibrinogen, creatine kinase (CK), creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), serum sodium, lactic acid, anion gap, NIHSS score, brain herniation, periventricular stroke, and carotid artery plaque. Further multivariate logistic regression analysis showed that white blood cell count, HDL, fibrinogen, lactic acid and brain herniation were independent risk factors [odds ratio (OR) were 1.837, 198.039, 47.025, 11.559, 70.722, respectively, all P < 0.05]. In the external validation group, univariate logistic regression analysis showed that platelet count, white blood cell count, CRP, triacylglycerol, APTT, D-dimer, fibrinogen, CK, CK-MB, LDH, NIHSS score, and cerebral herniation were risk factors for PSE one year after acute stroke. Further multiple logistic regression analysis showed that APTT and cerebral herniation were independent predictors (OR were 0.587 and 116.193, respectively, both P < 0.05). The nomogram model, constructed using 10 key variables-brain herniation, periventricular stroke, carotid artery plaque, white blood cell count, triglycerides, thrombin time, D-dimer, serum sodium, lactic acid, and NIHSS score-achieved an AUC of 0.908 in the model group and 0.864 in the external validation group. CONCLUSIONS The logistic regression-based prediction model for epilepsy one year after acute stroke, developed using machine learning algorithms, showed optimal predictive performance. The nomogram model based on the logistic regression-derived predictors showed strong discriminative power and was successfully validated externally, suggesting favorable clinical applicability and generalizability.
Humans ; Machine Learning ; Stroke/complications* ; Nomograms ; Epilepsy/etiology* ; Algorithms ; Male ; Female ; Logistic Models ; Middle Aged ; Aged ; Risk Factors ; Bayes Theorem

Objective This study aims to evaluate the efficacy of concentrated growth factor(CGF)membrane and collagen as barrier materials in sealing the alveolar socket in alveolar ridge preservation(ARP)in the posterior region during a one-year follow-up.Methods A total of 24 pa-tients who underwent ARP in the posterior region were selected for inclusion and randomly assigned to the CGF group(12 cases)and Collagen group(12 cases).The pa-tients in both groups underwent extraction of posterior teeth.The extraction sockets were filled with a bone sub-stitute to the level of the pre-extraction buccal and lingual or palatal alveolar bone plates.The wounds in the CGF group were closed with a fabricated CGF overlaying the upper edge of the bone substitute material,whereas those in the Colla-gen group were closed with Bio-Oss Collagen.The implants were placed after 6 months.The evaluation was based on implant retention,re-grafting rate,and vertical and horizontal alveolar ridge bone volume changes measured by cone beam computed tomography(CBCT).Data were statistically analyzed using SPSS 28.0 software.Results No patient withdrew throughout the follow-up period.No implant failure and no severe peri-implant or mucosal soft tissue compli-cations were observed.Six months after the operation,the degree of vertical alveolar ridge height resorption in the CGF group was lower than that in the Collagen group(P<0.05).There were no statistically difference between the groups at 1 year after the operation(P>0.05).The amount of bone reduction in horizontal alveolar ridge width showed no difference between the groups at 6 months and 1 year after surgery(P>0.05).Conclusion CGF membrane and Bio-Oss Collagen as barrier materials for posterior ARP inhibited reduction in alveolar ridge bone mass.

Objective To explore the risk factors of chemotherapy-induced adverse reactions(CIAEs)caused by capecitabine in colorectal cancer(CRC)patients and to construct a risk prediction model for CIAEs.Methods We retrospectively collected data from postoperative CRC patients treated with capecitabine tablets at our hospital between January 2021 and December 2023.Patients were divided into CIAEs and NCIAEs groups based on the presence or absence of CIAEs.Variable differences were screened using t-tests and chi-square tests.Stepwise multivariate logistic regression was employed to identify independent factors influencing CIAEs in CRC patients.Based on these independent risk factors,a risk prediction model for CIAEs in CRC patients was constructed using R software.The model's predictive ability,calibration,and clinical net benefits were evaluated using receiver operating characteristic(ROC)analysis,calibration curves,and decision curves.Results A total of 253 postoperative CRC patients treated with capecitabine were included in this study.Among them,201 patients developed CIAEs,with nausea and vomiting being the most common(69.96％).Multiple logistic regression results indicated that age[OR=3.018,95％CI(1.404,6.487),P=0.005],prognosis nutrition index[OR=0.129,95％CI(0.06,0.278),P＜0.001],and systematic inflammation index[OR=4.074,95％CI(1.316,12.615),P=0.015]were independent risk factors for CIAEs in CRC patients.The constructed risk prediction model demonstrated good predictive ability,calibration,and clinical net benefit.Conclusion The risk prediction model for CIAEs can be used for individualized prediction of CIAEs in CRC patients and serves as a simple and practical tool for CIAE prevention and nursing management.

Objective:To establish a method for obtaining planning target volume (PTV) and planning risk volume (PRV) margins caused by rotation in the use of adapt-to-position (ATP) modality of magnetic resonance linear accelerator (MRL) for patients with intracranial tumors.Methods:Clinical data of 6 patients with intracranial tumors (150 fractions in total) who received MRI-guided online ATP radiotherapy in Peking Union Medical College Hospital from November 2023 to January 2024 were retrospectively analyzed. The pre-planned CT structure was copied onto each segmented MR image and then the structures were traced back to the CT image according to the three-dimensional registration relationship. The anisotropic distance of the structure based on the original CT structure was calculated to obtain the variation range of the target and the organs at risk. The maximum anisotropic value was taken as the result of the PTV and the relationship between the results and intracranial location of different patients was analyzed. Group comparison was performed by Chi-square test. Two group comparison was conducted by post-hoc Wilcoxon signed-rank test. Results:After the rotation deviation was included, the range of target changes in the six directions of left and right (L/R), anterior and posterior (A/P) and superior and inferior (S/I) of the 6 patients were: (1.24± 0.86) mm/(1.91± 1.07) mm, (2.02± 1.26) mm/(1.66± 1.07) mm, (1.84± 1.84) mm /(2.94±1.93) mm, respectively. The results in the SI direction were significantly different, and the values in the I direction in 2 patients exceeded 4 mm, the margins suitable for all patients were 3.01 mm/2.4 mm(A/P), 1.9 mm/2.93 mm(L/R) and 3.14 mm/4.62 mm(S/I) in different directions, respectively. The L/R direction of the lens and the S/I direction of the optic nerve were significantly changed, and the A/P direction of the brain stem was (3.99± 4.64) mm. Larger values might be required when the target was in the posterior brain (left-down area, right-down area).Conclusions:The rotation deviation, organ movement and intracranial location affect the PTV and the organs at risk PRV in the MRI-guided ATP modality in intracranial tumors patients. The margin generation method based on image fusion can help to quantify the margin value reasonably.

The 19 th Chinese Symposium of Burns and Wounds was successfully held in Foshan of Guangdong Province from June 20 th to 22 nd in 2024. There were more than 700 delegates attending the academic event. The theme of the congress was expansion, integration and standardization, which could promote academic exchanges, multi-disciplinary fusion, and standardization of clinical treatment of burns and wounds. A total of nearly 200 famous experts and scholars had their speeches on the two-day keynote forum and special academic seminars including critical care, wound repair, scar prevention and treatment, rehabilitation nursing, and disciplinary integration sessions. The congress ended successfully with abundant fruits and friendship.

Benign prostatic hyperplasia(BPH)is one of the major chronic complications of type 2 diabetes mellitus(T2DM),and sex steroid hormones are common risk factors for the occurrence of T2DM and BPH.The profiles of sex steroid hormones are simultaneously quantified by LC-MS/MS in the clinical serum of patients,including simple BPH patients,newly diagnosed T2DM patients,T2DM complicated with BPH patients and matched healthy individuals.The G protein-coupled estrogen receptor(GPER)inhibitor G15,GPER knockdown lentivirus,the YAP1 inhibitor verteporfin,YAP1 knockdown/overexpression lentivirus,targeted metabolomics analysis,and Co-IP assays are used to investigate the molecular mechanisms of the disrupted sex steroid hormones homeostasis in the pathological process of T2DM complicated with BPH.The homeostasis of sex steroid hormone is disrupted in the serum of patients,accompanying with the proliferated prostatic epithelial cells(PECs).The sex steroid hormone metabolic profiles of T2DM patients complicated with BPH have the greatest degrees of separation from those of healthy individuals.Elevated 17β-estradiol(E2)is the key contributor to the disrupted sex steroid hormone homeostasis,and is significantly positively related to the clinical characteristics of T2DM patients complicated with BPH.Activating GPER by E2 via Hippo-YAP1 signaling exacerbates high glucose(HG)-induced PECs prolifer-ation through the formation of the YAP1-TEAD4 heterodimer.Knockdown or inhibition of GPER-mediated Hippo-YAP1 signaling suppresses PECs proliferation in HG and E2 co-treated BPH-1 cells.The anti-proliferative effects of verteporfin,an inhibitor of YAP1,are blocked by YAP1 overexpression in HG and E2 co-treated BPH-1 cells.Inactivating E2/GPER/Hippo/YAP1 signaling may be effective at delaying the progression of T2DM complicated with BPH by inhibiting PECs proliferation.

As an emerging drug delivery technology,microneedles can puncture the skin's stratum corneum to create micron-sized conduits,painlessly,minimally invasive,and efficiently deliver drugs into viable epidermis or dermis for local or systemic therapeutic effects.This paper reviews the current clinical trials of microneedles used in the treatment of various diseases,elaborates on the characteristics of various types of microneedles,and summarizes the latest research progress of microneedles used to treat skin tumors,including chemotherapy,photothermal and photodynamic therapy,immunotherapy,gene therapy,and combination therapy.This review provides ideas and directions for further research on microneedles in treating skin tumors.

The occurrence of benign prostate hyperplasia(BPH)was related to disrupted sex steroid hormones,and metformin(Met)had a clinical response to sex steroid hormone-related gynaecological disease.How-ever,whether Met exerts an antiproliferative effect on BPH via sex steroid hormones remains unclear.Here,our clinical study showed that along with prostatic epithelial cell(PEC)proliferation,sex steroid hormones were dysregulated in the serum and prostate of BPH patients.As the major contributor to dysregulated sex steroid hormones,elevated dihydrotestosterone(DHT)had a significant positive rela-tionship with the clinical characteristics of BPH patients.Activation of adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK)by Met restored dysregulated sex steroid hormone homeostasis and exerted antiproliferative effects against DHT-induced proliferation by inhibiting the formation of androgen receptor(AR)-mediated Yes-associated protein(YAP1)-TEA domain transcription factor(TEAD4)heterodimers.Met's anti-proliferative effects were blocked by AMPK inhibitor or YAP1 over-expression in DHT-cultured BPH-1 cells.Our findings indicated that Met would be a promising clinical therapeutic approach for BPH by inhibiting dysregulated steroid hormone-induced PEC proliferation.

Objective To evaluate the safety of the low glucoside composites of Epimedii Folium and clarify the pharmacokinetic characteristics of its five low glucosides.Methods Four groups of KM mice were orally administrated of corn oil,1 968,2 625 and 3 500 mg·kg-1 low glucoside composites of Epimedii Folium,respectively.Then,the living conditions,toxic symptoms,and death of the mice were observed for 7 consecutive days.After the mice were dissected,the viscera/body ratio and the viscera/brain ratio were calculated.Besides,the contents of alanine aminotransferase(ALT)and aspartate transaminase(AST)in plasma were determined by ELISA,and the pathological changes of the liver were observed by HE staining.C57BL/6J mice were intravenously or orally administered of baohuoside I,baohuoside II,sagittatoside A,sagittatoside B and sagittatoside C.Then,blood samples were collected at different time points.The plasma concentrations of the five low glucosides were measured by UHPLC-MS/MS.Results When compared with the control group,no significant differences were found in the body mass,viscera/body ratio,viscera/brain ratio,contents of ALT and AST in plasma after oral administration of different doses of low glucoside composites to mice.Moreover,no pathological changes or damages were found in the liver sections.After intravenous injection,the AUC0-t values of baohuoside Ⅰ,baohuoside Ⅱ,sagittatoside A,sagittatoside B and sagittatoside C in mice were 4.82,82.54,276.64,88.77 and 178.02 min·μg·mL-1,respectively.Meanwhile,the t1/2 values were 60.42,115.27,67.63,131.61 and 129.87 min,respectively.After oral administration,the AUC0-t values of the five low glucosides were 31.64,18.59,3.48,2.41 and 2.42 min·μg·mL-1,respectively.The Cmax values were 147.23,86.76,15.58,24.34 and 26.12 ng·mL-1,respectively.The tmax values were 21.00,78.00,78.00,30.00 and 28.00 min,respectively.The bioavailability of baohuosideⅠ,baohuosideⅡ,sagittatoside A sagittatoside B and sagittatoside C were 1.91%,0.51%,0.05%,0.06%and 0.04%,respectively.Conclusion The low glucoside composites of Epimedii Folium has high safety,and no hepatotoxicity were observed at dose of 3 500 mg·kg-1.The 5 low glucosides are quickly absorbed and rapidly eliminated in mice,and all of them have low bioavailability.