OBJECTIVE: By analyzing the hormone secretion of the adenohypophysis, thyroid glands, gonads, and adrenal cortex in patients with hematological diseases before and after hematopoietic stem cell transplantation (HSCT), this study aims to preliminarily explore the effect of HSCT on patients' hormone secretion and glandular damage. METHODS: The baseline data of 209 hematological disease patients who underwent HSCT in our hospital from January 2019 to December 2023, as well as the data on the levels of hormones secreted by the adenohypophysis, thyroid glands, gonads and adrenal cortex before and after HSCT were collected, and the changes in hormone levels before and after transplantation were analyzed. RESULTS: After allogeneic HSCT, the levels of thyroid-stimulating hormone (TSH), triiodothyronine (T3), free triiodothyronine (FT3) and estradiol (E2) decreased, while the levels of luteinizing hormone (LH) and follicle- stimulating hormone (FSH) increased. The T3 level of patients with decreased TSH after transplantation was lower than that of those with increased TSH after transplantation. In female patients, the levels of prolactin (PRL), progesterone (Prog), and testosterone (Testo) decreased after HSCT. Testo and PRL decreased when there was a donor-recipient sex mismatch, and the levels of adrenocorticotropic hormone (ACTH) and cortisol (COR) decreased when the HLA matching was haploidentical. The levels of T3, FT3, and PRL decreased after autologous HSCT. In allogeneic HSCT patients, the levels of TSH, T4, T3, FT3, and ACTH in the group with graft-versus-host disease (GVHD) were significantly lower than those in the group without GVHD. Logistic regression analysis showed the changes in hormone levels after transplantation were not correlated with factors such as the patient's sex, age, or whether the blood types of the donor and the recipient are the same. CONCLUSION HSCT can affect the endocrine function of patients with hematological diseases, mainly affecting target glandular organs such as the thyroid, gonads, and adrenal glands, while the secretory function of the adenohypophysis is less affected.
Humans ; Hematopoietic Stem Cell Transplantation ; Female ; Male ; Hematologic Diseases/blood* ; Follicle Stimulating Hormone/blood* ; Triiodothyronine/blood* ; Luteinizing Hormone/blood* ; Thyroid Gland/metabolism* ; Estradiol/blood* ; Thyrotropin/blood* ; Gonads/metabolism* ; Adult ; Middle Aged ; Adrenocorticotropic Hormone/blood* ; Hormones/metabolism* ; Adrenal Cortex/metabolism* ; Prolactin

Objective:To evaluate the impact of roxadustat on thyroid function and to identify the associated factors in patients undergoing maintenance peritoneal dialysis (PD).Methods:This study was a single-center retrospective study. PD patients who received roxadustat or recombinant human erythropoietin (rHuEPO) treatment at Nanjing Drum Tower Hospital between January 2020 and June 2024 were included. The general and clinical information as well as laboratory indexes were collected. Serum free triiodothyronine (FT3), free thyroxine (FT4) and thyroid-stimulating hormone (TSH) were compared before and after treatment initiation. Hemoglobin (Hb) responses were also observed between the two groups. Logistic regression analysis was performed to explore the factors associated with thyroid function changes.Results:A total of 120 patients were enrolled, with an age of (55.17±16.42) years, including 66 males (55.0%). There were 81 patients received roxadustat (roxadustat group) and 39 patiens received rHuEPO (rHuEPO group). Compared to the rHuEPO group, the roxadustat group had a higher proportion of patients with diabetes ( χ 2= 4.172, P=0.041), a shorter PD vintage ( Z=-3.406, P=0.002), a lower serum level of total cholesterol ( Z=-2.082, P=0.037) and a lower level of fasting blood glucose ( Z=-2.589, P=0.010). Following treatment with roxadustat, the levels of FT4 ( Z=-5.349, P<0.01) and TSH ( Z=-3.720, P<0.01) decreased significantly. In contrast, no significant changes in FT4 or TSH levels were observed in the rHuEPO group (both P>0.05). For both roxadustat and rHuEPO groups, there were no significant changes in FT3 levels after treatment (both P>0.05). Multivariate analysis identified that higher baseline TSH (TSH≥2.27 μIU/ml, OR=1.581, 95% CI 1.196-2.089, P=0.001) and roxadustat exposure ( OR=3.432, 95% CI 1.410-8.355, P=0.007) as independent associated factors of subsequent TSH decline, and identified that higher baseline FT4 (FT4≥14.9 pmol/L, OR=1.390, 95% CI 1.162-1.662, P=0.001) and roxadustat exposure ( OR=5.798, 95% CI 2.225-15.113, P=0.001) as independent associated factors of subsequent FT4 decline. The degrees of hemoglobin changes after roxadustat or rHuEPO treatment did not differ significantly between roxadustat group and rHuEPO group ( t=-1.062, P=0.290). Of the 31 patients who underwent a second thyroid function test during roxadustat treatment, 24 continued with the original regimen, while 7 discontinued roxadustat. Among 24 patients who maintained roxadustat treatment, TSH ( Z=-0.400, P=0.689) and FT4 ( t=0.143, P=0.888) remained stable between the second and third tests. All 7 patients who discontinued roxadustat treatment showed TSH rebound and the changes of TSH levels were more significant than that in continuers ( Z=-2.505, P=0.012). FT4 recovery occurred in only 3 of them, with no significant difference in FT4 change between discontinuers and continuers ( Z=-0.685, P=0.493). Conclusions:Roxadustat commonly suppresses TSH and FT4, but not FT3, in PD patients. Baseline levels of TSH and FT4 are key associated factors of the inhibitory effect of roxadustat on thyroid function. This suppression does not intensify with prolonged exposure and is reversible after discontinuation, with TSH levels normalizing more quickly than FT4. Roxadustat-induced thyroid suppression does not compromise its efficacy in treating renal anemia.

Objective: To investigate the Alzheimer's disease (AD) influencing factors among the elderly, so as to provide a basis for early prevention and intervention. Methods: From March to June 2024, participants aged 60 years and above from a sub-district in Haishu District, Ningbo City, Zhejiang Province were selected using a convenience sampling method. Data on demographics, lifestyle, and health status were collected through questionnaire surveys. Depressive symptoms were evaluated using the short-form Geriatric Depression Scale. The Chinese Mini-Mental State Examination (MMSE) was used for the initial screening of AD, and individuals who screened positive were further diagnosed by psychiatrists. Factors affecting AD among the elderly were analyzed using a multivariable logistic regression model. Results: A total of 3 644 individuals were surveyed, comprising 1 526 males (41.88%) and 2 118 females (58.12%). The mean age was (71.85±7.44) years. AD was detected in 200 cases, with a detection rate of 5.49%. Multivariable logistic regression analysis showed that individuals aged ≥65 years (65-<70 years, OR=3.012, 95%CI: 1.007-9.012; 70-<75 years, OR=3.131, 95%CI: 1.059-9.260; 75-<80 years, OR=5.779, 95%CI: 1.989-16.784; ≥80 years, OR=16.810, 95%CI: 5.926-47.685), those who were unmarried, divorced, or widowed (OR=1.973, 95%CI: 1.383-2.815), those with hearing loss (OR=1.573, 95%CI: 1.128-2.193), those with diabetes mellitus (OR=1.958, 95%CI: 1.362-2.814), and those with depressive symptoms (OR=4.143, 95%CI: 2.997-5.728) had a higher risk of AD. Conversely, individuals with an educational level of primary school or above (primary school, OR=0.579, 95%CI: 0.401-0.835; junior high school or above, OR=0.438, 95%CI: 0.259-0.741), and those who engaged in regular physical exercise (OR=0.414, 95%CI: 0.264-0.649) had a lower risk of AD. Conclusions The detection rate of AD was relatively high among the elderly in Haishu District. AD among the elderly was related to age, educational level, marital status, physical exercise, hearing loss, diabetes mellitus, and depressive symptoms.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Objective:To evaluate the impact of roxadustat on thyroid function and to identify the associated factors in patients undergoing maintenance peritoneal dialysis (PD).Methods:This study was a single-center retrospective study. PD patients who received roxadustat or recombinant human erythropoietin (rHuEPO) treatment at Nanjing Drum Tower Hospital between January 2020 and June 2024 were included. The general and clinical information as well as laboratory indexes were collected. Serum free triiodothyronine (FT3), free thyroxine (FT4) and thyroid-stimulating hormone (TSH) were compared before and after treatment initiation. Hemoglobin (Hb) responses were also observed between the two groups. Logistic regression analysis was performed to explore the factors associated with thyroid function changes.Results:A total of 120 patients were enrolled, with an age of (55.17±16.42) years, including 66 males (55.0%). There were 81 patients received roxadustat (roxadustat group) and 39 patiens received rHuEPO (rHuEPO group). Compared to the rHuEPO group, the roxadustat group had a higher proportion of patients with diabetes ( χ 2= 4.172, P=0.041), a shorter PD vintage ( Z=-3.406, P=0.002), a lower serum level of total cholesterol ( Z=-2.082, P=0.037) and a lower level of fasting blood glucose ( Z=-2.589, P=0.010). Following treatment with roxadustat, the levels of FT4 ( Z=-5.349, P<0.01) and TSH ( Z=-3.720, P<0.01) decreased significantly. In contrast, no significant changes in FT4 or TSH levels were observed in the rHuEPO group (both P>0.05). For both roxadustat and rHuEPO groups, there were no significant changes in FT3 levels after treatment (both P>0.05). Multivariate analysis identified that higher baseline TSH (TSH≥2.27 μIU/ml, OR=1.581, 95% CI 1.196-2.089, P=0.001) and roxadustat exposure ( OR=3.432, 95% CI 1.410-8.355, P=0.007) as independent associated factors of subsequent TSH decline, and identified that higher baseline FT4 (FT4≥14.9 pmol/L, OR=1.390, 95% CI 1.162-1.662, P=0.001) and roxadustat exposure ( OR=5.798, 95% CI 2.225-15.113, P=0.001) as independent associated factors of subsequent FT4 decline. The degrees of hemoglobin changes after roxadustat or rHuEPO treatment did not differ significantly between roxadustat group and rHuEPO group ( t=-1.062, P=0.290). Of the 31 patients who underwent a second thyroid function test during roxadustat treatment, 24 continued with the original regimen, while 7 discontinued roxadustat. Among 24 patients who maintained roxadustat treatment, TSH ( Z=-0.400, P=0.689) and FT4 ( t=0.143, P=0.888) remained stable between the second and third tests. All 7 patients who discontinued roxadustat treatment showed TSH rebound and the changes of TSH levels were more significant than that in continuers ( Z=-2.505, P=0.012). FT4 recovery occurred in only 3 of them, with no significant difference in FT4 change between discontinuers and continuers ( Z=-0.685, P=0.493). Conclusions:Roxadustat commonly suppresses TSH and FT4, but not FT3, in PD patients. Baseline levels of TSH and FT4 are key associated factors of the inhibitory effect of roxadustat on thyroid function. This suppression does not intensify with prolonged exposure and is reversible after discontinuation, with TSH levels normalizing more quickly than FT4. Roxadustat-induced thyroid suppression does not compromise its efficacy in treating renal anemia.

Objective:To assess the effect of mild intraventricular hemorrhage（IVH）on the early motor development of infants at high risk of brain injury,and to guide the intervention according to its characteristics.Methods:A retrospective cohort study was conducted to select neonates discharged from the Neonatal Unit of Xi 'an Children 's Hospital from February 1，2022 to March 31，2023，with one or more high-risk factors of brain injury.The patients were assigned to low-grade IVH group and no IVH group according to ultrasound diagnosis.The research subjects exclucled other brain injury diseases besides mild IVH.Motor development was assessed using test of infant motor performance(TIMP)，reflecting performance in head control，auditory and visual responses，defensive movements，trunk movements，limb movements，and more.Both groups completed TIMP assessment between discharge and 16 weeks of the corrected age(CA).The differences of TIMP scores between two groups were compared . Results:A total of 329 neonates at high risk for brain injury were recruited，including 98 cases with grade Ⅰ-Ⅱ IVH（low-grade IVH group）diagnosed through brain ultrasonography and 231 controls(no IVH group).The Z scores of TIMP in the low-grade IVH group were lower than that in no IVH group（-0.25 ±0.87 vs.0.03 ±0.71， P=0.015）.The risk factors of brain injury were matched for further comparison.At CA2-5 weeks，the scores in low-grade IVH group of TIMP total scores（74.10 ±12.28 vs.84.24 ±7.71），observation items（10.57 ±1.47 vs.11.24 ±1.29），elicitation（63.17 ±12.13 vs.73.00 ±7.36），sitting（9.14 ±2.90 vs.11.65 ±3.26），supine（22.07 ±4.73 vs.24.79 ±3.55），prone position（10.35 ±3.74 vs.12.82 ±3.15）and lateral position（4.00 ±2.85 vs.5.48 ±2.13）were significantly lower than those in no IVH group（ P<0.05）.At CA6-9 weeks，the scores in low-grade IVH group of sitting position（10.44 ±4.01 vs.12.96 ±3.02），supine position（24.04 ±4.60 vs.26.83 ±3.53），lateral position（4.83 ±2.53 vs.6.25 ±2.6）were significantly lower than those in no IVH group（ P<0.05）.At CA12-15 weeks，the low-grade IVH group showed significant differences in TIMP total score（104.00 ±12.98 vs.114.10 ±13.16），elicitation（92.00 ±12.64 vs.102.00 ±13.10），sitting（17.00 ±3.50 vs.19.13 ±3.55）and lateral position（7.35 ±2.14 vs.9.00 ±2.37）compared with those from no IVH group（ P<0.05）. Conclusion:Mild intraventricular hemorrhage affected the early motor development of high-risk infants with brain injury，mainly manifested as a lag in the ability of head control at CA2-5 weeks，and the trend continued until CA12-15 weeks.Early monitoring of motor ability and intervention of head control ability should be carried out in high-risk children with mild intraventricular hemorrhage.

Objective:To study the effects of the combined application of NaF and Nisin on Streptococcus mutans(S.mutans).Meth-ods:The minimum inhibitory concentration(MIC)of Nisin and NaF against S.mutans was determined by microdilution method respec-tively.The fractional inhibitory concentration(FIC)was calculated by checkerboard method.The inhibition effect of the combination of NaF and Nisin at(NF)the same MIC concentration on acid production and acid resistance of S.mutans was detected.Crystal violet staining was used to detect the effects of NF in the inhibition of the biofilm formation,and the damage and dispersion of the established biofilms.The changes of the biofilms were observed by CLSM.Results:The MIC of NaF and Nisin was 0.6 mg/mL and 20 mg/mL re-spectively.The FIC was 0.75.The 1/8×MIC NF showed significantly higher inhibition on acid production and biofilm formation than 1/4×MIC NaF or Nisin(P＜0.05),but it has no obvious dispersion effect on established biofilms.The 1/2×MIC NF showed stronger in-hibition effect on the acid resistance of S.mutans in the membrane than 1×MIC NaF or Nisin(P＜0.05).At the concentration of 2x MIC,any component didn't cause obvious damage on the established biofilm structure.Conclusion:Nisin and NaF have synergistic in-hibitory effects on the proliferation,acid production,acid resistance and biofilm formation of S.mutans.

Objective:To investigate the characteristics of early motor development in small for gestational age (SGA) infants at high risk of brain injury.Methods:This study retrospectively enrolled a total of 81 SGA infants and appropriate for gestational age (AGA) infants who were at high risk of brain injury and attended outpatient follow-up visits in Xi'an Children's Hospital from February to October 2022. Seventeen SGA infants (SGA group) and 24 AGA infants (AGA group) were assessed for motor development using the Test of Infant Motor Performance (TIMP) at 2-5 weeks of corrected age (CA) and 20 SGA infants (SGA group) and 20 AGA infants (AGA group) were assessed at 14-17 weeks of CA. Independent samples t-test, rank-sum test, and Chi-square test were used to compare the demographic characteristics, high-risk factors of brain injury, and TIMP scores between the two groups. Results:At 2-5 weeks and 14-17 weeks of CA, the birth weights of SGA group were both less than those of AGA group [(1 817.1±440.3) vs. (2 630.0±560.9) g, t=－4.98; (1 752.0±434.4) vs. (2 226.3±699.8) g, t=－2.58; both P<0.05], but there were no significant differences in gestational age at birth or high-risk factors of brain injury between the two groups (all P>0.05). (1) At 2-5 weeks of CA: SGA group had lower total TIMP score [(71.6±13.7) vs. (80.5±11.5) scores, t=－2.26, P=0.029], elicited item score [61.0 scores (41.0-85.0 scores) vs. 69.1 scores (49.0-96.0 scores), Z=－2.15, P=0.037], sitting position score [8.8 scores (3.0-19.0 scores) vs. 11.2 scores (5.0-22.0 scores), Z=－2.07, P=0.038], and prone position score [(9.8±3.1) vs. (12.3±3.1) scores, t=－2.19, P=0.034] when compared with AGA group. (2) At 14-17 weeks of CA: The standing position score of the SGA group was lower than that of the AGA group [6.5 scores (4.0-11.0 scores) vs. 7.7 scores (2.0-11.0 scores), Z=－2.05, P=0.040], but no statistical difference was observed in the total TIMP score or the scores of sitting, supine, prone, turning, and lateral positions between the two groups (all P>0.05). Conclusion:Early motor performance of SGA infants is inferior to AGA infants before five months of age, which is embodied in the poor head control at 2-5 weeks of CA that further affects the stability of standing posture in them at 14-17 weeks of CA.

Objective:To systematically evaluate the qualitative research on experience of fear of falling in the elderly, so as to provide theoretical basis for nursing practice.Methods:Qualitative researches on the fear of falling among the elderly were systematically searched in PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biology Medicine disc. The search period was from database establishment to November 5, 2023. The quality of literature was evaluated using the quality evaluation criteria for qualitative research of the Australia Joanna Briggs Institute Evidence-Based Health Care Center, and the results were integrated using the Meta-synthesis.Results:A total of 13 articles were included, 44 themes were extracted, categorized into 12 categories, and refined into four integrated results, namely perception of fear of falling, influencing factors of fear of falling, coping strategies in attitude and behavior, and multidimensional needs for rehabilitation nursing.Conclusions:Medical and nursing staff should pay attention to and understand the fear of falling among the elderly, evaluate their fear of falling from multiple dimensions and dynamically, provide personalized guidance based on coping behaviors, create support systems to alleviate their fear of falling and meet their multidimensional needs, so as to improve their quality of life.