Objective: To systematically analyze the confirmatory positivity of different combinations of HBsAg screening results in blood testing, providing data to support the optimization of blood donor eligibility management. Methods: A retrospective analysis was conducted on blood screening data from 174 266 voluntary blood donor samples at the Chongqing Blood Center between October 2021 and September 2022. Samples with inconsistent results between the two HBsAg enzymelinked immunosorbent assays (ELISA) and individual donor nucleic acid testing (NAT) were confirmed using an electrochemiluminescence immunoassay (ECLIA) and a neutralization test. The detection efficacy of four different HBsAg ELISA reagents was compared using the HBsAg-confirmed positive samples. Results: A total of 767(0.44%) HBV-reactive (HB-sAg and/or HBV DNA reactive) samples were detected. Among them, 344 samples with discordant serological and NAT results were collected, of which 64(18.6%) were confirmed positive by neutralization test. Additionally, 5 samples that were neutralization-negative but double-reactive for HBsAg and HBV DNA were confirmed as positive according to FDA guidance, resulting in a total of 69(20.1%) confirmed HBsAg-positive samples. There were significant differences in the neutralization test confirmation rates among different screening result categories (P<0.05): The group with dual HBsAg reagent reactivity (double reactive) & NAT-negative had the highest confirmation rate (96.9%, 31/32); the group reactive to only reagent 2 (single reactive) had a rate of 25.7% (29/113); while the confirmation rates for samples reactive to only reagent 1 and samples with isolated HBV DNA positivity were extremely low [0(0/34) and 2.4%(4/165), respectively]. The four commercial reagents showed significant differences in their ability to detect confirmed positive samples that were initially single reactive (P<0.05). Conclusion: Given the performance variations among HBsAg screening reagents, thorough performance verification is essential before implementation. When NAT is negative, dual HBsAg reactivity in screening can serve as a basis for confirming infection and directly deferring blood donors. However, confirming infection in donors with single HBsAg reactivity is more challenging, necessitating supplementary tests to rule out infection risk.

Objective To explore the relationship between plasma insulin-like growth factor-binding protein 2(IGFBP2),secreted modular calcium-binding protein 2(SMOC2)levels and cardiac function and prognosis in patients with chronic heart failure(CHF).Methods A total of 120 CHF patients(the CHF group)and 60 healthy volunteers undergoing physical examination during the same period(the control group)were enrolled.CHF patients were classified according to the New York Heart Association(NYHA)functional classification into the class Ⅱ(46 cases)group,the class Ⅲ group(42 cases)and the class Ⅳ group(32 cases).Based on the 6-month prognosis,patients were further divided into the poor prognosis group(42 cases)and the good prognosis group(78 cases).Plasma IGFBP2 and SMOC2 levels were measured using enzyme-linked immunosorbent assay.The correlation between plasma IGFBP2 and SMOC2 levels with NYHA functional classification was analyzed using Spearman rank correlation.Multivariate unconditional Logistic regression was used to analyze the relationship between plasma IGFBP2 and SMOC2 levels and poor prognosis in CHF patients.The predictive efficacy of plasma IGFBP2 and SMOC2 levels for CHF prognosis was evaluated using receiver operating characteristic(ROC)curve analysis.Results Compared with the control group,plasma IGFBP2 and SMOC2 levels were significantly higher in the CHF group(P＜0.05).Plasma IGFBP2 and SMOC2 levels increased progressively in the class Ⅱ group,the class Ⅲgroup and the class Ⅳ group(P＜0.05).Plasma IGFBP2 and SMOC2 levels were positively correlated with NYHA classification of CHF patients(P＜0.05).The 6-month poor prognosis rate for the 120 CHF patients was 35.00%(42/120).Compared with the good prognosis group,the plasma IGFBP2 and SMOC2 levels were significantly higher in the poor prognosis group(P＜0.05).After adjusting for confounding factors,high levels of IGFBP2 and SMOC2 were independent risk factors for poor prognosis in CHF patients(P＜0.05).The area under the curve(AUC)for the combined prediction of poor prognosis in CHF patients by plasma IGFBP2 and SMOC2 levels was 0.899,which was higher than that of plasma IGFBP2(0.800)and SMOC2(0.782)alone(P＜0.05).Conclusion The plasma levels of IGFBP2 and SMOC2 in CHF patients are increased,which is related to the decrease of cardiac function and poor prognosis.The combination of plasma IGFBP2 and SMOC2 levels has a high predictive efficiency for the prognosis of CHF patients.

Digital screening incorporates technology into the disease assessment process and plays a significant role in large-scale screening for mild cognitive impairment(MCI)within communities.This consensus systematically reviews and evaluates the existing evidence regarding the effectiveness of digital screening for MCI in these settings.The working group has integrated the perspectives of experts from diverse fields, including clinical practice, scientific research, and industry, to clarify the definitions of digital-related terms.Furthermore, the consensus presents 12 recommendations that outline the main classifications of tools, basic elements to consider, target individuals, screening frequency, and management strategies for digital screening, while also indicating future development directions.The aim is to optimize early diagnosis and treatment strategies for MCI and to promote the advancement of digital screening in cognitive health management for middle-aged and older adults in community settings.

Objective:To analyze the risk factors of anxiety and depression in prostate cancer patients after castration, and establish a risk prediction model.Methods:A retrospective analysis was conducted on the data of 60 prostate cancer patients treated in Xi′an People′s Hospital from January 2019 to January 2022. The patients were divided into a training group ( n=42) and a validation group ( n=18) at a ratio of 7∶3. The patients received surgical castration and medical castration. One month after castration, the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) were used to evaluate the anxiety symptoms and depression levels of the patients, respectively. Univariate and multivariate logistic regression analyses were used to identify the risk factors for negative emotions in prostate cancer patients after castration, and a risk prediction model was established. Results:In the training group, 19 patients had a SAS score ≥50, and 21 patients had an SDS score ≥50. Based on these scores, the training group was divided into a negative emotion group ( n=19) and an emotional stability group ( n=23). Multivariate logistic regression analysis showed that marital status, castration scheme, and postoperative Visual Analogue Scale (VAS) score were independent influencing factors for negative emotions in prostate cancer patients after castration ( OR=3.589, 3.364, 5.912, all P<0.05). In both the training group and the validation group, the risk scores of patients with negative emotions were significantly higher than those with emotional stability. In the training group, the area under the curve (AUC) of the risk prediction model for predicting negative emotions was 0.747, with a specificity of 71.02% and a sensitivity of 66.11%; in the validation group, the AUC, specificity, and sensitivity were 0.761, 66.59%, and 76.21%, respectively. The Hosmer-Lemeshow test showed that χ 2 was 4.285 6, P value was 0.830, and the c-index was 0.773(0.692-0.854). The calibration curve showed that the predicted curve was basically consistent with the actual curve, indicating that the prediction model had good discriminative ability and accuracy. Decision curve analysis showed that the model had high clinical significance. Conclusions:Marital status, castration scheme, and postoperative VAS score are important factors affecting anxiety and depression in prostate cancer patients after castration, and the regression model can successfully predict the risk of negative emotions.

Objective:To investigate the prevalence and risk factors of overweight and obesity among Chinese children aged 3-18 years from 11 provinces, antonomous regions, or municipalities.Methods:This national cross-sectional community health survey utilized a multistage stratified cluster-random sampling method to recruit 193 997 nationally representative participants from 11 provinces, autonomous regions, or municipalities between January 2017 and December 2019. All participants underwent physical examinations, and their caregivers completed questionnaires assessing participants′ dietary, lifestyle, familial, and perinatal information. Multilevel multinomial logistic regression models were employed to identify the potential risk factors.Results:The cohort comprised 193 997 children (102 178 boys, 91 819 girls),aged (10±4) years. Overall prevalence rates were 30 574(15.8%)overweight children and 17 217(8.9%) obesity children. Boys exhibited higher overweight and obesity rates than girls (17.0% (17 368/102 178) vs. 14.4% (13 206/102 178), 11.3% (11 553/91 819) vs. 6.2% (5 664/91 819), χ2=249.12,1 578.69,both P<0.001). The detection rates of obesity in Tanner stage 2 and 3 were the highest in boys and girls, with 13.4%(2 231/16 665) and 8.6%(880/10 221) respectively. Risk factors for obesity included parental overweight (paternal OR=2.34 and maternal OR=2.29), annual household income of 100 000-200 000 yuan (compared with<100 000 yuan, OR=1.04), higher paternal education (compared with below high school,high school and a college education OR=1.09,1.14), birth weight >4.0 kg (≤5 and>5 years old OR=1.74, 1.44,respectively), and western food consumption≥1 time/month (compared with<1, 1-2, 3-4,>4 times/month OR=1.36, 1.30, 1.67(≤5 years), 1.19, 1.16, 1.15 (>5 years), respectively) (all P<0.05). Conversely, coarse grain intake≥1 times/week (compared with<1 times/week, every day, 3-4, 1-2 times/week OR=0.74, 0.80, 0.71 (≤5 years), 0.75, 0.87, 0.90(>5 years), respectively, all P<0.05) was associated with reduced obesity risk. Conclusions:Obesity epidemiology in children demonstrates significant heterogeneity across age, gender, geographic regions, and pubertal stages. It is necessary to establish a personalized prevention and control strategy.

Objective:To investigate the reference intervals of serum uric acid levels in normal-weight children and analyze the factors influencing these levels.Methods:In this cross-sectional study, clinical data were collected from 7 910 normal-weight children, aged 1 month to 15 years, who underwent health check-ups at the Children′s Hospital of Zhejiang University School of Medicine between August 2013 and August 2023. Data included sex, age, pubertal signs, blood pressure, and serum uric acid levels. The participants were categorized into 4 age groups: 1-<12 months, 1-<6 years, 6-<11 years, and 11-<16 years, and were further analyzed by sex. The P5 and P95 percentiles of uric acid values were defined as the lower and upper limits of the reference interval, respectively. Correlation analysis and partial correlation analysis were used to assess the relationship between uric acid and other variables such as age, body mass index Z value, and Tanner stage. Multivariate linear regression was used to compare uric acid levels across gender and age groups, respectively. Results:Among the 7 910 children, the distribution across age groups was as follows: 562 (317 boys) in 1-<12 months, 4 120 (2 366 boys) in 1-<6 years, 2 357 (1 432 boys) in 6-<11 years, and 871 (536 boys) in 11-<16 years, the uric acid levels in boys were significantly higher than those in girls ( P<0.05). Uric acid levels exhibited a positive correlation with age ( r=0.47 , 0.20, both P<0.001), and a weak positive correlation with BMI Z-scores(both r=0.11, P<0.001). Among participants aged 6-<11 years and 11-<16 years, uric acid levels in boys were positively correlated with Tanner stage ( r=0.10, 0.27, both P<0.05), but no significant correlation was observed in girls (all P>0.05). The uric acid levels were significantly higher in boys than in girls in the 1-<12 months, 1-<6 years and 11-<16 years age groups (all P<0.05), but no significant gender difference was found in the 6-<11 years groups ( P>0.05). Uric acid levels exhibited statistically significant variations among age groups ( P<0.001). The reference intervals of uric acid values were as follows in 1-<12 months age group, 157-335 μmol/L for boys and 160-315 μmol/L for girls; in 1-<6 years age group, 180-359 μmol/L for boys and 180-355 μmol/L for girls; in 6-<11 years group, 190-375 μmol/L; in 11-<16 years age group, 237-480 μmol/L for boys and 218-410 μmol/L for girls. Conclusions:Reference intervals for uric acid varying significantly across different pediatric age groups. Sex, and pubertal development status are closely related to uric acid levels.

Objective:To examine the interaction between gender and the visceral adiposity index (VAI) in relation to the risk of type 2 diabetes mellitus (T2DM).Methods:This retrospective cohort study utilized data from the public Dryad database derived from the NAGALA (NAFLD in the Gifu Area, Longitudinal Analysis) project (1994-2016). Participants were stratified into quartiles based on VAI levels. A multivariate Cox proportional hazards regression model was employed to evaluate whether VAI independently predicts T2DM risk. Kaplan-Meier survival curves and receiver operating characteristic (ROC) curves were constructed for each VAI quartile. Subgroup analyses were conducted to examine associations across age and body mass index categories. Both multiplicative and additive interaction effects between gender and VAI were assessed. Additionally, gender-specific Cox models were fitted to further explore these associations.Results:A total of 15 453 participants [8 419 males and 7 034 females; mean age, (43.7±8.9) years] were included, with a median follow-up duration of 5.39 years. During follow-up, 373 participants (2.4%) developed T2DM. After adjustment for potential confounders, higher VAI levels were independently associated with increased T2DM risk ( HR=1.16; 95% CI 1.11-1.21), consistent with the results across VAI quartiles. Kaplan-Meier analysis revealed a significant trend of increasing T2DM incidence across VAI quartiles ( P<0.001). The area under the ROC curve for VAI in predicting T2DM at 3, 5, and 10 years was 0.755, 0.735, and 0.696, respectively. Sensitivity analyses showed that elevated VAI was associated with increased T2DM risk across all age and body mass index subgroups (all P<0.05). Regarding interaction analysis, the HR (95% CI) for the multiplicative interaction between VAI and gender was 1.22 (1.19-1.26). The relative excess risk of interaction was -1.08 (95% CI -2.96 to -0.06), the attributable proportion of interaction was -0.54 (95% CI -1.35 to -0.01), and the synergy index was 0.48 (95% CI 0.26-0.91), indicating a negative additive interaction. Using low-VAI women as the reference group, the risk of T2DM in high-VAI women was higher ( HR=2.53, 95% CI 1.59-4.02) compared to high-VAI men ( HR=2.01, 95% CI 1.49-2.72). In gender-specific analyses, increasing VAI remained significantly associated with elevated T2DM risk after adjustment in both females ( HR=1.43, 95% CI 1.21-1.68) and males ( HR=1.16; 95% CI 1.11-1.22), with consistent findings across VAI quartiles. Conclusions:VAI and gender demonstrated multiplicative and additive interaction in relation to T2DM risk. The association between increasing VAI and T2DM risk was more pronounced in women than in men.

Stroke-associated pneumonia(SAP),a frequent complication of stroke,adversely affects clinical outcomes and functional recovery.Identifying SAP risk factors and developing robust predictive models are critical for improving patient management.This article reviews recent research advances in SAP risk factors and risk prediction,emphasizes emerging risk factors-including sarcopenia epidemiology,gut microbiota dysbiosis,and thyroid dysfunction-and novel predictive approaches such as risk stratification scores,neuroimaging,biomarkers,and artificial intelligence.We aim to enhance clinical recognition of SAP to facilitate early intervention,reduce incidence,and optimize stroke prognosis.

Stroke-associated pneumonia(SAP),a frequent complication of stroke,adversely affects clinical outcomes and functional recovery.Identifying SAP risk factors and developing robust predictive models are critical for improving patient management.This article reviews recent research advances in SAP risk factors and risk prediction,emphasizes emerging risk factors-including sarcopenia epidemiology,gut microbiota dysbiosis,and thyroid dysfunction-and novel predictive approaches such as risk stratification scores,neuroimaging,biomarkers,and artificial intelligence.We aim to enhance clinical recognition of SAP to facilitate early intervention,reduce incidence,and optimize stroke prognosis.

Objective To explore the relationship between plasma insulin-like growth factor-binding protein 2(IGFBP2),secreted modular calcium-binding protein 2(SMOC2)levels and cardiac function and prognosis in patients with chronic heart failure(CHF).Methods A total of 120 CHF patients(the CHF group)and 60 healthy volunteers undergoing physical examination during the same period(the control group)were enrolled.CHF patients were classified according to the New York Heart Association(NYHA)functional classification into the class Ⅱ(46 cases)group,the class Ⅲ group(42 cases)and the class Ⅳ group(32 cases).Based on the 6-month prognosis,patients were further divided into the poor prognosis group(42 cases)and the good prognosis group(78 cases).Plasma IGFBP2 and SMOC2 levels were measured using enzyme-linked immunosorbent assay.The correlation between plasma IGFBP2 and SMOC2 levels with NYHA functional classification was analyzed using Spearman rank correlation.Multivariate unconditional Logistic regression was used to analyze the relationship between plasma IGFBP2 and SMOC2 levels and poor prognosis in CHF patients.The predictive efficacy of plasma IGFBP2 and SMOC2 levels for CHF prognosis was evaluated using receiver operating characteristic(ROC)curve analysis.Results Compared with the control group,plasma IGFBP2 and SMOC2 levels were significantly higher in the CHF group(P＜0.05).Plasma IGFBP2 and SMOC2 levels increased progressively in the class Ⅱ group,the class Ⅲgroup and the class Ⅳ group(P＜0.05).Plasma IGFBP2 and SMOC2 levels were positively correlated with NYHA classification of CHF patients(P＜0.05).The 6-month poor prognosis rate for the 120 CHF patients was 35.00%(42/120).Compared with the good prognosis group,the plasma IGFBP2 and SMOC2 levels were significantly higher in the poor prognosis group(P＜0.05).After adjusting for confounding factors,high levels of IGFBP2 and SMOC2 were independent risk factors for poor prognosis in CHF patients(P＜0.05).The area under the curve(AUC)for the combined prediction of poor prognosis in CHF patients by plasma IGFBP2 and SMOC2 levels was 0.899,which was higher than that of plasma IGFBP2(0.800)and SMOC2(0.782)alone(P＜0.05).Conclusion The plasma levels of IGFBP2 and SMOC2 in CHF patients are increased,which is related to the decrease of cardiac function and poor prognosis.The combination of plasma IGFBP2 and SMOC2 levels has a high predictive efficiency for the prognosis of CHF patients.