Objective:To investigate the risk factors and construct a nomogram prediction model for neonatal bacterial meningitis (BM).Methods:A retrospective cohort study was conducted on 1 228 neonates who underwent lumbar puncture for cerebrospinal fluid examination in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital from December 2019 to February 2024. The subjects were randomly divided into a training cohort and a validation cohort at a ratio of 7∶3 using a computer program. Rank sum test or Chi-square tests were used to compare differences between the two cohorts. The subjects were divided into BM and non-BM groups based on the presence or absence of BM. Multivariate logistic regression analysis (forward stepwise regression method) was used in the training cohort to identify risk factors for BM. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow goodness-of-fit test were used to assess the discrimination and calibration of the model, respectively. Calibration curves were used to evaluate the accuracy of the model and to construct the nomogram. Internal validation was performed using the Bootstrap resampling method. Decision curve analysis was used to assess the clinical utility of the model. Results:Among the 1 228 neonates, 151 (12.3%) had BM. The training cohort included 859 neonates, of whom 106 (12.3%) had BM and 753 (87.7%) did not. The validation cohort included 369 neonates, of whom 45 (12.2%) had BM and 324 (87.8%) did not. The results of the multivariate logistic regression analysis in the training cohort showed that sepsis ( OR=4.446, 95% CI:2.583-7.653), convulsions ( OR=3.749, 95% CI:1.930-7.280), high maximum body temperature ( OR=2.027, 95% CI:1.636-2.513), and elevated C-reactive protein ( OR=1.007, 95% CI:1.003-1.012) were independent risk factors for BM, while greater gestational age at birth ( OR=0.946, 95% CI: 0.898-0.995) and higher hemoglobin levels ( OR=0.990, 95% CI:0.981-0.998) were protective factors for BM (all P<0.05). Based on these findings, a nomogram prediction model for neonatal BM was constructed and validated for accuracy. The AUC values of the nomogram model in the training and validation cohorts were 0.796 (95% CI: 0.750-0.843) and 0.781 (95% CI: 0.700-0.862), respectively. The Hosmer-Lemeshow goodness-of-fit test showed P>0.05 in both cohorts. The clinical decision curve analysis demonstrated good net benefit across most threshold ranges. Conclusions:Sepsis, convulsions, high maximum body temperature, and elevated C-reactive protein increase the risk of neonatal BM. The nomogram model constructed based on these factors, combined with gestational age and hemoglobin levels, provides a reference value for predicting the risk of neonatal BM.

Objective:To analyze the accuracy of nine estimation methods for umbilical venous catheterization (UVC) insertion depth in neonates.Methods:This prospective study enrolled neonates who underwent successful UVC placement in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital between September 2023 and October 2024. The standard catheter tip position was defined as the junction of the inferior vena cava and right atrium, with a deviation of ≤0.5 cm considered accurate. Patients were stratified by birth weight (BW) into three groups: <1 500 g, 1 500- 2 499 g, and ≥2 500 g. The actual UVC depth was compared with depths estimated using nine methods: Shukla formula, modified Shukla formula, JSS formula, BW formula, Tambasco formula, modified Tambasco formula, Dunn's nomogram, body surface measurement, and ultrasonographic measurement. Accuracy was evaluated using nonparametric tests and Bland-Altman agreement analysis.Results:The study included 111 neonates: 41 (36.9%) in the <1 500 g group, 55 (49.6%) in the 1 500-2 499 g group, and 15 (13.5%) in the ≥2 500 g group. In the <1 500 g group, accuracy rates ranged from 24% to 56%, with body surface measurement showing the highest accuracy (56%); the mean difference from actual depth was－0.073 cm, with 95% limits of agreement (LOA) of－1.764 to 1.618 cm. In the 1 500-2 499 g group, accuracy rate ranged from 15% to 51%, with the modified Tambasco formula being most accurate (51%); the mean difference was 0.113 cm (95%LOA:－1.558-1.783 cm). In the ≥2 500 g group, accuracy rate ranged from 0/15 to 10/15, with Dunn's nomogram being most accurate (10/15); the mean difference was－0.120 cm (95%LOA:－1.380-1.140 cm).Conclusions:The accuracy of the nine UVC depth estimation methods varied across different BW groups and among methods within the same group. Selection of an estimation method should be tailored to the neonate's birth weight.

Objective:To investigate the risk factors and construct a nomogram prediction model for neonatal bacterial meningitis (BM).Methods:A retrospective cohort study was conducted on 1 228 neonates who underwent lumbar puncture for cerebrospinal fluid examination in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital from December 2019 to February 2024. The subjects were randomly divided into a training cohort and a validation cohort at a ratio of 7∶3 using a computer program. Rank sum test or Chi-square tests were used to compare differences between the two cohorts. The subjects were divided into BM and non-BM groups based on the presence or absence of BM. Multivariate logistic regression analysis (forward stepwise regression method) was used in the training cohort to identify risk factors for BM. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow goodness-of-fit test were used to assess the discrimination and calibration of the model, respectively. Calibration curves were used to evaluate the accuracy of the model and to construct the nomogram. Internal validation was performed using the Bootstrap resampling method. Decision curve analysis was used to assess the clinical utility of the model. Results:Among the 1 228 neonates, 151 (12.3%) had BM. The training cohort included 859 neonates, of whom 106 (12.3%) had BM and 753 (87.7%) did not. The validation cohort included 369 neonates, of whom 45 (12.2%) had BM and 324 (87.8%) did not. The results of the multivariate logistic regression analysis in the training cohort showed that sepsis ( OR=4.446, 95% CI:2.583-7.653), convulsions ( OR=3.749, 95% CI:1.930-7.280), high maximum body temperature ( OR=2.027, 95% CI:1.636-2.513), and elevated C-reactive protein ( OR=1.007, 95% CI:1.003-1.012) were independent risk factors for BM, while greater gestational age at birth ( OR=0.946, 95% CI: 0.898-0.995) and higher hemoglobin levels ( OR=0.990, 95% CI:0.981-0.998) were protective factors for BM (all P<0.05). Based on these findings, a nomogram prediction model for neonatal BM was constructed and validated for accuracy. The AUC values of the nomogram model in the training and validation cohorts were 0.796 (95% CI: 0.750-0.843) and 0.781 (95% CI: 0.700-0.862), respectively. The Hosmer-Lemeshow goodness-of-fit test showed P>0.05 in both cohorts. The clinical decision curve analysis demonstrated good net benefit across most threshold ranges. Conclusions:Sepsis, convulsions, high maximum body temperature, and elevated C-reactive protein increase the risk of neonatal BM. The nomogram model constructed based on these factors, combined with gestational age and hemoglobin levels, provides a reference value for predicting the risk of neonatal BM.

Objective:To analyze the accuracy of nine estimation methods for umbilical venous catheterization (UVC) insertion depth in neonates.Methods:This prospective study enrolled neonates who underwent successful UVC placement in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital between September 2023 and October 2024. The standard catheter tip position was defined as the junction of the inferior vena cava and right atrium, with a deviation of ≤0.5 cm considered accurate. Patients were stratified by birth weight (BW) into three groups: <1 500 g, 1 500- 2 499 g, and ≥2 500 g. The actual UVC depth was compared with depths estimated using nine methods: Shukla formula, modified Shukla formula, JSS formula, BW formula, Tambasco formula, modified Tambasco formula, Dunn's nomogram, body surface measurement, and ultrasonographic measurement. Accuracy was evaluated using nonparametric tests and Bland-Altman agreement analysis.Results:The study included 111 neonates: 41 (36.9%) in the <1 500 g group, 55 (49.6%) in the 1 500-2 499 g group, and 15 (13.5%) in the ≥2 500 g group. In the <1 500 g group, accuracy rates ranged from 24% to 56%, with body surface measurement showing the highest accuracy (56%); the mean difference from actual depth was－0.073 cm, with 95% limits of agreement (LOA) of－1.764 to 1.618 cm. In the 1 500-2 499 g group, accuracy rate ranged from 15% to 51%, with the modified Tambasco formula being most accurate (51%); the mean difference was 0.113 cm (95%LOA:－1.558-1.783 cm). In the ≥2 500 g group, accuracy rate ranged from 0/15 to 10/15, with Dunn's nomogram being most accurate (10/15); the mean difference was－0.120 cm (95%LOA:－1.380-1.140 cm).Conclusions:The accuracy of the nine UVC depth estimation methods varied across different BW groups and among methods within the same group. Selection of an estimation method should be tailored to the neonate's birth weight.

Objective:To investigate the efficacy of programmed death receptor-1(PD-1)/ programmed death-ligand 1 (PD-L1) inhibitors in the treatment of recurrent or metastatic cervical cancer and its effect on serum levels of squamous cell carcinoma antigen (SCC-Ag), carcinoembryonic antigen (CEA), and carbohydrate antigen 125 (CA125) in patients.Methods:This study was a retrospective study. Ninety patients with cervical cancer treated at Lishui Municipal Central Hospital between January 2019 and December 2022 were randomly divided into two groups. Forty-five patients in the control group received routine radiotherapy and chemotherapy, while forty-five patients in the observation group received PD-1/PD-L1 inhibitors in addition to the treatment provided to the control group. The effectiveness and safety were compared between the two groups.Results:The effectiveness in the observation group was superior to that in the control group ( P < 0.05). After treatment, the levels of serum tumor markers, including SCC-Ag, CA125, CEA, and human epididymal protein 4, were significantly lower in the observation group compared with the control group ( t = 5.44, 6.20, 14.74, 4.06, all P < 0.001). After treatment, the levels of interferon-γ, interleukin-2, and interleukin-6 in the observation group were significantly lower compared with the control group ( t = 6.24, 8.95, 8.38, all P < 0.001). After treatment, the levels of CD 3+, CD 4+, and CD 4+/CD 8+ in the observation group were significantly higher compared with those in the control group ( t = 8.82, 6.53, 5.27, all P < 0.001). After treatment, the Functional Assessment of Cancer Therapy-Cervix score in the observation group was significantly higher than that in the control group ( t = 4.35, 4.35, 5.17, 5.24, all P < 0.001). The incidence of various adverse reactions in the observation group was significantly lower than that in the control group ( χ2 = 3.85, 3.87, 5.08, 4.44, all P < 0.05). The cumulative survival rate in the observation group was significantly higher than that in the control group [60.00% (27/45) vs. 40.00% (18/45), P < 0.05]. The median survival time in the observation group was significantly longer than that in the control group (365 days vs. 222 days, P < 0.05). Conclusion:PD-1/PD-L1 inhibitors are effective in the treatment of recurrent or metastatic cervical cancer. They can reduce the serum levels of SCC-Ag, CEA, and CA125, prolong the survival time of patients, and improve their quality of life.

Objective:To construct a training model for non-psychiatric psychological specialist nurses in general hospitals, providing reference for the selection, training, management, and evaluation of psychological specialist nurses.Methods:From November 2022 to April 2023, a preliminary draft of the training model for non-psychiatric psychological specialist nurses in general hospitals was developed through literature review and semi-structured interviews. From May to July 2023, the Delphi method was used to conduct two rounds of expert consultations with 29 experts from seven provinces and municipalities directly under the central government, including Shanxi, Beijing and Anhui, etc. Based on expert opinions, the final training model for non-psychiatric psychological specialist nurses in general hospitals was formed. The enthusiasm of experts was expressed by the questionnaire response rate, the degree of authority was expressed by the expert authority coefficient, and the degree of coordination of expert opinions was expressed by Kendall's coordination coefficient.Results:In two rounds of expert consultations, the questionnaire response rate was 100.00% (29/29) for both rounds, and the expert authority coefficients were 0.884 and 0.916, and Kendall's coordination coefficients were 0.085-0.203 and 0.084-0.228 (all P<0.05). The final training model for non-psychiatric psychological specialist nurses in general hospitals included five primary indicators of training objectives, training content, training methods, training process, and training evaluation, 22 secondary indicators, and 92 tertiary indicators. Conclusions:The training model for non-psychiatric psychological specialist nurses in general hospitals constructed is scientific and practical, and has guiding significance for the selection, training, assessment and evaluation of psychological specialist nurses in China.

The cartilage-protective effect of ginkgolide C(GC)on the two modeling modalities was investigated based on joint pain,degree of cartilage pathology,ECM degradation process,and level of inflammatory mediator production in rats.Twenty-five SD rats were selected and randomly di-vided into five groups:the control group(Control group),model 1 group(ACLT group),adminis-tration 1 group(ACLT+GC group),model 2 group(MIA group),and administration 2 group(MIA+GC group.)The rats were euthanized after 4 weeks of the test.Femur,tibia and blood samples were collected from the right hind limb of rats.The degree of pathology in the femur and tibia of rats was assessed by saffron O solid green staining and OARSI score.Immunohistochemis-try was used to detect the expression levels of collagen Ⅱ and MMP-13 in cartilage.ELISA was used to detect the changes in the levels of MMP-3,MMP-13,CTX-Ⅱ,COMP,COX-2,INOS,IL-1β,and TNF-α in the serum of rats.Cold sensitivity test and knee extension vocalization test were conducted to detect the degree of joint pain in rats.ACLT could cause more severe structural dam-age to articular cartilage compared with the MIA group.The OARSI scores and the expression of MMP-13 in femur and tibia,and the serum levels of MMP-13,MMP-3,CTX-Ⅱ,and COMP were higher in the ACLT group than those in the MIA group.However,the levels of inflammatory me-diators COX-2,IL-1β,and TNF-α were significantly lower in the ACLT group than in the MIA group(P＜0.0l).GC intervention reduced the OARSI score(P＜0.05 or P＜0.01)and pain scores,inhibited the ECM matrix degrading enzymes(MMP-13,MMP-3),cartilage metabolism markers(CTX-11,COMP),and inflammatory mediators(COX-2,INOS,IL-1β and TNF-α)ex-pression,and promoted collagen Ⅱ synthesis.Both modeling methods resulted in cartilage damage.In particular,the OA model constructed by ACLT+PMMx method in rats had obvious joint dam-age,which was favorable to investigate the degree of cartilage structural damage.GC attenuated cartilage pathological changes,pain severity and inflammatory response in the rat OA model in both groups,thus exerting a cartilage-protective effect.

Objective:To analyze the distribution of ages at the interhospital transfer of outborn very preterm infants in China and to compare their perinatal characteristics and outcomes at discharge and neonatal intensive care unit (NICU) treatment.Methods:A total of 3 405 outborn very premature infants with a gestational age of 24-31 +6 weeks who were transferred to the NICUs of the Chinese Neonatal Network (CHNN) in 2019 were included in this retrospective study. According to the age at transfer, they were divided into three groups: early transfer (≤1 d), delayed transfer (>1-7 d) and late transfer (>7 d) groups. Analysis of variance, t-test, Chi-square test (Bonferroni correction), Kruskal-Wallis test and Wilcoxon rank-sum test were used to compare the general clinical condition, treatment, and outcomes at discharge among the three groups. Results:The median gestational age was 29.7 weeks (28.3-31.0 weeks) and the average birth weight was (1 321.0 ± 316.5) g for these 3 405 infants. There were 2 031 patients (59.6%) in the early transfer group, 406 (11.9%) in the delayed transfer group and 968 (28.4%) in the late transfer group. Infants who received continuous positive airway pressure ventilation and tracheal intubation in the delivery room accounted for 8.4% (237/2 806) and 32.9% (924/2 805), respectively. A total of 62.7% (1 569/2 504) of the mothers received antenatal glucocorticoid therapy and the ratio in the early transfer group was 68.7% (1 121/1 631), which was higher than that in the delayed transfer group [56.1% (152/271), χ2=16.78, P<0.017] and the late transfer group [49.2% (296/602), χ2=72.56, P<0.017]. The total mortality rate of very premature infants was 12.7% (431/3 405), and the mortality rates in the early, delayed and late transfer groups were 12.4% (252/2 031), 16.3% (66/406) and 11.7% (113/968), respectively ( χ2=5.72, P=0.057). The incidences of severe intraventricular hemorrhage, late-onset sepsis, necrotizing enterocolitis, and bronchopulmonary dysplasia at the corrected gestational age of 36 weeks or discharge were all higher in the delayed and late transfer groups than in the early transfer group, respectively. The incidences of retinopathy of prematurity, retinopathy of prematurity requiring treatment and bronchopulmonary dysplasia at the corrected gestational age of 36 weeks or discharge in the late transfer group were significantly higher than that in the delayed transfer group (Bonferroni correction, all P<0.017). In the late transfer group, the median age of very premature infants at discharge was 66.0 d (51.0-86.0 d), and the corrected gestational age at discharge was 38.9 weeks (37.1-41.2 weeks), and both were greater than those in the early transfer [48.0 d (37.0-64.0 d), Z=260.83; 36.9 weeks (35.7-38.3 weeks), Z=294.32] and delayed transfer groups [52.0 d (41.0-64.0 d), Z=81.49; 37.4 weeks (36.1-38.7 weeks), Z=75.97] (all P<0.017). Conclusions:Many very premature infants need to be transferred to higher-level hospitals after birth. The later the very premature infants are transferred, the higher the incidence of complications will be. It is suggested that intrauterine or early postnatal transport may improve the prognosis of very premature infants.

Objective:To investigate the clinical features and associated influencing factors of cognitive impairment in middle-aged and elderly Chinese adult patients undergoing maintenance hemodialysis (HD).Methods:A cross-sectional study was conducted among HD patients from 11 centers in Beijing city from April 2017 to June 2017. A neuropsychological battery covering domains of attention/processing speed, executive function, memory, language, and visuospatial function was applied in cognitive function assessment. Patients were classified as normal cognitive function group and cognitive impairment group according to the fifth version of the diagnostic and statistical manual of mental disorders criteria (DSM-V). Multivariate binary logistic regression was used to analyze the independent influencing factors of cognitive impairment. Results:A total of 613 HD patients were included in the study, and the prevalence of cognitive impairment was 80.91% (496/613). Attention impairment (81.05%) and memory impairment (63.51%) were the most common impaired domains, and 79.23% was concomitant impairment across two or more cognitive domains among those with cognitive impairment. Compared with the patients in the normal cognitive function group, the patients in the cognitive impairment group had senior age, longer dialysis vintage, higher proportion of diabetes, hypertension, and stroke, higher level of serum intact parathyroid hormone (iPTH), lower education level, and lower urea clearance index (Kt/V) (all P<0.05). Factors were independently associated with cognitive impairment including increasing age ( OR=1.110, 95% CI 1.072-1.150, P<0.001), education time>12 years (with education time<6 years as reference, OR=0.323, 95% CI 0.115-0.909, P=0.032), history of diabetes ( OR=2.151, 95% CI 1.272-3.636, P=0.004), history of stroke ( OR=2.546, 95% CI 1.244-5.210, P=0.011), increased dialysis vintage ( OR=1.016, 95% CI 1.010-1.022, P<0.001), reduced Kt/V( OR=0.008, 95% CI 0.002-0.035, P<0.001), and increased iPTH level ( OR=1.002, 95% CI 1.002-1.003, P=0.012). Conclusions:The prevalence of cognitive impairment in middle-aged and elderly adult Chinese patients undergoing HD is high. Memory and attention are the most commonly impaired domains. Increasing age, low education level, history of diabetes and stroke, increased dialysis vintage, reduced Kt/V and increased serum iPTH are the independent influencing factors associated with cognitive impairment.

Objective:To investigate the association between cognitive impairment and all-cause mortality in middle and elderly adult patients undergoing maintenance hemodialysis (HD).Methods:A prospective cohort study was conducted. Patients from 11 HD centers in Beijing between April and June 2017 were enrolled. Baseline data were collected, and a series of neuropsychological batteries covered 5 domains of cognitive function were applied for the assessment of cognitive function. The patients were then classified as normal and cognitive impairment groups according to the fifth version of the Diagnostic and Statistical Manual of Mental Disorders criteria (DSM-V) and followed-up until June 2018. The clinical characteristics of the two groups of patients were compared. Kaplan-Meier survival analysis was used to compare the difference in the cumulative survival rate between the two groups. Multivariate Cox regression model was used to analyze the independent influencing factors of all-cause mortality, to determine the relationship between cognitive impairment and different cognitive domain impairments and all-cause death.Results:A total of 613 patients were enrolled, of which 496(80.91%) patients had cognitive impairment. Compared with the normal cognitive function group, the patients in the cognitive impairment group tended to be older, longer dialysis vintage, a higher proportion of diabetes, hypertension, and stroke, increased serum iPTH level, and lower education level and urea clearance index (Kt/V) (all P<0.05). After (49.53±8.42) weeks of follow-up, Kaplan-Meier survival analysis showed that the cumulative survival rate of cognitive impairment group was significantly lower than that of cognitive normal group (Log-rank χ2=8.610, P=0.003). Multivariate Cox regression analysis showed that history of diabetes ( HR=2.742, 95% CI 1.598-4.723, P<0.001), coronary heart disease ( HR=1.906, 95% CI 1.169-3.108, P=0.010), dialysis vintage (every increase of 1 month, HR=1.007, 95% CI 1.003-1.011, P=0.001), serum level of albumin (every increase of 1 g/L, HR=0.859, 95% CI 0.809-0.912, P<0.001), cognitive impairment ( HR=2.719, 95% CI 1.088-6.194, P=0.032) were independently associated with all-cause mortality. Multivariate Cox regression analysis on different cognitive domains also indicated that memory impairment ( HR=2.571, 95% CI 1.442-4.584, P<0.001), executive function impairment ( HR=3.311, 95% CI 1.843-5.949, P=0.001) and three, four, five domains combined impairment ( HR=5.746, 95% CI 1.880-17.565, P=0.002; HR=12.420, 95% CI 3.690-41.802, P<0.001; HR=13.478, 95% CI 3.381-53.728, P<0.001) were independently related to all-cause mortality. Conclusions:Cognitive impairment is an independent risk factor of all-cause mortality in middle and elderly adult patients undergoing maintenance hemodialysis, and the risk is significantly increased in patients with the impairment of the domains of memory, executive function, or in the combination of three to five cognitive domains.