ObjectiveTo explore the driving forces for oncology nurses’ participation in palliative care work， thereby providing a theoretical basis for the improvement of education and training， incentive mechanisms， and other aspects of the palliative care nursing staff. MethodsEmploying a qualitative research method， semi-structured interviews lasting 40-60 minutes were conducted with 14 nurses who had participated in palliative care work. The interview data were analyzed using the Colaizzi seven-step analysis method. ResultsInternal positive driving forces were job interest， empathy， and a sense of professional responsibility， while the negative was low psychological resilience. External positive driving forces included high work support， professional identity， mutual benefits for nurses and patients， and positive patient attitudes， whereas negative driving forces comprised busy routine clinical work， lack of a reward and incentive system， and bland or negative patient attitudes. ConclusionIt is essential to provide a flexible platform for the enhancement of nurses’ professional capabilities in palliative care， intensify the publicity of palliative care and death education； intervene and guide nurses’ negative emotions， improve and implement relevant incentive systems， and standardize the job recognition and scope of responsibilities of palliative care nurses.

ObjectiveTo introduce visual teaching into the course design of medical humanistic care based on the concept of implementation science， evaluate the teaching implementation effect and feedback， and provide references for optimizing course teaching outcomes and improving students’ humanistic care competence. MethodsA visual teaching program for medical humanistic care was designed， with key steps including clarifying teaching objectives， content， methods， and curriculum assessment. This program was implemented in the medical humanistic care course teaching involving 50 elective students. Multi-dimensional evaluation of teaching effectiveness was conducted through course grades， visual teaching evaluation， and humanistic workshop assessment， combined with inductive content analysis of students’ learning experiences in the workshops. ResultsThe 50 students achieved above-average course grades （89.60±3.41） and demonstrated high satisfaction with the overall course and visual teaching. All the 6 groups obtained relatively high scores in the medical humanistic care workshops. Four themes were extracted， namely， enhancing humanistic care competencies， deepening familial and interpersonal relationships， realizing emotional expression and self-growth， and strengthening integration of humanistic care concepts with practice. ConclusionThe teaching of medical humanistic care course has achieved favorable effects， which contributes to deepening students’ understanding of humanistic care and enhancing their humanistic care competence. Students demonstrate high levels of recognition and satisfaction with the course.

Objective:To explore the effect of specific inhibitor of Smad3 (SIS3) on glucocorticoid-induced ocular hypertension in mice and its possible mechanism.Methods:Fifty-one eight-week-old female C57BL/6J mice were randomly divided into control group, dexamethasone group and SIS3 group by the random number table method, with 17 mice in each group.Mice in the control group were injected with 20 μl 2 % polyvinyl alcohol into the conjunctival fornix every week for 4 weeks.Mice in the dexamethasone group and SIS3 group were injected with 20 μl 10 mg/ml dexamethasone acetate every week and SIS3 group was treated with additional 100 μg/ml SIS3 nanomicelle eye drops 3 times daily for up to 4 weeks.Intraocular pressure (IOP) was measured weekly using Icare rebound tonometer.Mice were sacrificed 4 weeks after treatment, and the eyeballs were removed.Morphology of trabecular meshwork (TM) tissues were detected by hematoxylin-eosin (HE) staining.The collagen deposition area in TM tissues were examined by Masson staining.Fibronectin (FN) and collagen type Ⅰ (Col-1) in the extracellular matrix of TM tissue were detected by immunofluorescence staining.TM tissues were obtained from donated patients, and primary human trabecular meshwork cells (HTMCs) were obtained by culture.The expression level of myocilin in dexamethasone-induced HTMCs was detected by immunofluorescence and Western blot for cell identification.Primary HTMCs were divided into normal control group, dexamethasone group and SIS3 group cultured with normal culture medium, medium containing 400 nmol/L dexamethasone, medium containing 400 nmol/L dexamethasone+ 10 μmol/L SIS3 for 48 hours, respectively.The expression levels of FN, Col-1 and p-Smad3/Smad3 proteins were measured by Western blot.The use and care of animals complied with the ARVO statement.This study protocol was approved by the Animal Ethics Committee of Zhengzhou University (No.ZZU-LA20220729).The collection of TM tissue specimens complied with the Declaration of Helsinki and was approved by the Medical Ethics Committee of Henan Provincial Eye Hospital (No.HNEECKY-2022[18]).The patients knew the purpose of the experiment and signed the informed consent forms.Results:There was a significant overall difference in IOP among the three groups at different time points after administration ( Fgroup=72.94, P<0.001; Ftime=33.19, P<0.001).Compared with baseline, IOP was increased in the dexamethasone group at each time point after administration, and the differences were statistically significant (all P<0.001).The IOP of the control and SIS3 groups at weeks 1, 2, 3, 4 were significantly lower than that of the dexamethasone group (all P<0.001).HE staining showed that the iridocorneal angles of all groups were open with similar morphology of the TM structure.Masson staining showed that the positive expression area of collagen in the control group, dexamethasone group and SIS3 group was (9.57±2.91)%, (27.75±5.88)% and (11.67±3.78)%, respectively, with a statistically significant difference among the three groups ( F=25.91, P<0.001), and the positive expression area of collagen was significantly lower in the control group and SIS3 group than in the dexamethasone group (all P<0.001).The fluorescence expression level of FN in the control group, dexamethasone group and SIS3 group was 8.00±1.92, 14.01±2.74 and 7.85±0.64, respectively, and the fluorescence expression level of Col-1 was 6.90±1.16, 14.36±3.19 and 4.90±0.88, respectively, with statistically significant differences among the three groups ( F=15.93, 30.29; both P<0.001), and the fluorescence expression levels of FN and Col-1 were significantly lower in the control group and SIS3 group than in the dexamethasone group (all P<0.01).Immunofluorescence staining and Western blot showed that the cultured primary cells expressed myocilin and the expression level of myocilin was significantly increased after dexamethasone induction, which was identified as HTMCs.There were statistically significant differences in the relative expression levels of FN, Col-1, and p-Smad3/Smad3 proteins among different groups of cells ( F=8.22, 23.08, 8.78; all P<0.05), and the relative expression levels of FN, Col-1, and p-Smad3/Smad3 proteins were significantly lower in the control group and SIS3 group than in the dexamethasone group (all P<0.05). Conclusions:SIS3 reduces IOP by inhibiting p-Smad3, reducing extracellular matrix deposition in TM, and reducing fibrosis in the TM tissue.

Diamond-Blackfan anemia(DBA),also known as congenital pure red cell aplasia,is a rare genetic disorder characterized by bone marrow failure,congenital anomalies,and severe red blood cell abnormalities.The rarity of the condition,and consequently limited patient pool and scarcity of research models,means that the pathogenic mechanisms associated with genetic mutations in DBA remain uncertain,and the clinical treatment options are limited.This review synthesizes the findings from zebrafish,mouse,and human cellular models of DBA mutations.We clarify the pathogenic mechanisms and monitor the progression of drugs into clinical trials,thereby aiding further in-depth explorations into the etiology and therapeutic advancements for DBA.

Objective:To explore the influencing factors of brain injury in children with neonatal asphyxia after resuscitation.Methods:The clinical data of 180 children with neonatal asphyxia from January 2017 to January 2024 in Shijiazhuang Maternal and Child Health Hospital were retrospectively analyzed, and all children were received resuscitation treatment. The children were divided into modeling group (126 cases) and validation group (54 cases) in a 7∶3 ratio. Among the children in modeling group, 51 children combined brain injury (brain injury subgroup), and 75 children did not combine brain injury (non-brain injury subgroup). The general data were recorded, and the continuous variables were determined by the receiver operating characteristic (ROC) curve to determine the optimal cut-off value. Multivariate Logistic regression analysis was used to analyze the independent risk factors of brain injury in children with neonatal asphyxia after resuscitation. The R language software "rms" package was used to construct a nomogram model for predicting brain injury in children with neonatal asphyxia after resuscitation. The nomogram model was internally verified by the calibration curve, and the prediction efficiency of the nomogram model was evaluated by the decision curve and ROC curve.Results:There was no statistical difference in general data between modeling group and validation group ( P>0.05). The gestation age<37 weeks proportion, severe asphyxia proportion, Ⅱ to Ⅲ grade amniotic fluid contamination proportion, intrauterine distress proportion and blood lactate in brain injury subgroup were significantly higher than those in non-brain injury subgroup: 60.78% (31/51) vs. 38.67% (29/75), 37.25% (19/51) vs. 17.33% (13/75), 27.45% (14/51) vs. 10.67% (8/75), 47.06% (24/51) vs. 26.67% (20/75) and (2.64 ± 0.61) mmol/L vs. (2.21 ± 0.56) mmol/L, and there were statistical differences ( P<0.05 or <0.01); there were no statistical differences in gender composition, birth weight, maternal age, maternal history of adverse pregnancy and childbirth, mode of delivery, parity, abnormal amniotic fluid volume, abnormal fetal position, abnormal umbilical cord, abnormal placenta, systolic blood pressure, diastolic blood pressure, body temperature and blood glucose between the two groups ( P>0.05). ROC curve analysis result showed that the optimal cutoff value of blood lactate was 2.59 mmol/L. Multivariate Logistic regression analysis result showed that the young gestation age, severe asphyxia, Ⅱ to Ⅲ grade amniotic fluid contamination, intrauterine distress and high blood lactate were independent risk factors of brain injury in children with neonatal asphyxia after resuscitation ( OR = 2.854, 3.428, 3.405, 3.427 and 7.844; 95% CI 1.166 to 6.983, 1.263 to 9.305, 1.076 to 10.768, 1.358 to 8.645 and 3.080 to 19.978; P<0.05 or <0.01). The gestation age, degree of asphyxia, amniotic fluid contamination, intrauterine distress and blood lactate were used as predictors to construct a nomogram model for predicting brain injury in children with neonatal asphyxia after resuscitation. The calibration curve analysis result showed that the calibration curve of the nomogram model for predicting brain injury in children with neonatal asphyxia after resuscitation tended towards the ideal curve ( C- index = 0.824, 95% CI 0.745 to 0.903). The decision curve analysis result showed that, when the risk threshold was greater than 0.18, the clinical net benefits provided by the nomogram model were higher than those of a single independent risk factor, and it could provide significant additional clinical net benefits in predicting the high risk of brain injury in children with neonatal asphyxia after resuscitation. ROC curve of internal validation analysis result that the curve (AUC) of the nomogram model for predicting brain injury in children with neonatal asphyxia after resuscitation was 0.824 (95% CI 0.744 to 0.903). ROC curve of external validation result showed that the AUC of the nomogram model for predicting brain injury in children with neonatal asphyxia after resuscitation was 0.838 (95% CI 0.714 to 0.962). Conclusions:The gestation age, degree of asphyxia, amniotic fluid contamination, intrauterine distress and blood lactate are independent risk factors for brain injury in children with neonatal asphyxia after resuscitation. The nomogram model constructed based on these factors has a high clinical benefit in predicting brain injury in children with neonatal asphyxia after resuscitation.

Objective:To explore the motivation and experience of volunteers in palliative care, so as to provide a reference for volunteer training and support.Methods:From October to November 2024, volunteers providing palliative care from one volunteer organization in Hangzhou and two volunteer organizations in Suzhou were selected using purposive sampling as research subjects for semi-structured interviews. Data analysis was performed using the Colaizzi 7-step analysis method.Results:A total of three core themes and 19 sub-themes were identified, including various motivations for palliative care volunteer services, multidimensional pressures and challenges in palliative care volunteer services, and diverse coping styles and positive attitudes of palliative care volunteers.Conclusions:Relevant institutions and organizations should conduct targeted and personalized training and support based on the motivation and experience of palliative care volunteers, provide volunteers with professional knowledge and skills training to improve the quality and level of palliative care volunteer services.

Objective:To explore the motivation and experience of volunteers in palliative care, so as to provide a reference for volunteer training and support.Methods:From October to November 2024, volunteers providing palliative care from one volunteer organization in Hangzhou and two volunteer organizations in Suzhou were selected using purposive sampling as research subjects for semi-structured interviews. Data analysis was performed using the Colaizzi 7-step analysis method.Results:A total of three core themes and 19 sub-themes were identified, including various motivations for palliative care volunteer services, multidimensional pressures and challenges in palliative care volunteer services, and diverse coping styles and positive attitudes of palliative care volunteers.Conclusions:Relevant institutions and organizations should conduct targeted and personalized training and support based on the motivation and experience of palliative care volunteers, provide volunteers with professional knowledge and skills training to improve the quality and level of palliative care volunteer services.

Objective:To establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the determination of N-desalkylquetiapine, hydroxybupropion, N-desmethyl clozapine, N-desmethyl clomipramine, O-desmethyvenlafaxine and dehydro aripiprazole in human plasma.Methods:In June 2023, plasma samples were treated with methanol-acetonitrile (volume ratio of 1∶1) for protein precipitation and then detected by LC-MS/MS. It was separated by C18 column and eluted with 5 mmol/L ammonium acetate water and 5 mmol/L ammonium acetate methanol solution as mobile phase gradient. The metabolites of six psychotropic drugs were qualitatively and quantitatively by using electrospray positive ion multi-reactive ion monitoring scanning mode (MRM) .Results:The linear relationships of six psychotropic drug metabolites were good in the concentration range of 2-100 μg/L. The linear correlation coefficients were 0.9971-0.9999, the limits of quantification of the method were 0.10-6.00 μg/L, and the inter-and intra-day precision were 4.6%-9.8% and 1.5%-8.6%, with the recoveries of the spiked standards ranged from 90.0% to 106.1%.Conclusion:The LC-MS/MS method for the determination of metabolites of six psychotropic drugs in human plasma is simple, rapid and sensitive, and can be used for the qualitative and quantitative determination of metabolites in plasma samples of patients suspected of psychotropic drug poisoning.

Objective:To establish a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for the fast determination of maduramicin ammonium (MAD) in rat serum.Methods:In February 2024, rat serum samples were selected and directly injected after extraction and purification with methanol: acetonitrile (1: 1), separated on a C18 chromatographic column, and gradient-eluted using 0.1% formic acid aqueous solution -0.1% formic acid methanol solution as the mobile phase. Under optimized instrument conditions, electrospray positive ion multiple reaction monitoring (MRM) mode was employed for quantification using the external standard method, followed by methodological validation of the established approach.Results:The linearity of MAD in serum was good in the concentration range of 0.5-100 μg/L, and the correlation coefficient was 0.9997. The mean recoveries of MAD from spiked samples were 86.0%-109.6%, with the relative standard deviations were less than 10%. The limit of detection was 0.23 μg/L, The limit of detection was 0.75 μg/L.Conclusion:This method is high sensitive and reliable, which is suitable for the determination of MAD in in mouse serum.

Objective:To explore the effect of specific inhibitor of Smad3 (SIS3) on glucocorticoid-induced ocular hypertension in mice and its possible mechanism.Methods:Fifty-one eight-week-old female C57BL/6J mice were randomly divided into control group, dexamethasone group and SIS3 group by the random number table method, with 17 mice in each group.Mice in the control group were injected with 20 μl 2 % polyvinyl alcohol into the conjunctival fornix every week for 4 weeks.Mice in the dexamethasone group and SIS3 group were injected with 20 μl 10 mg/ml dexamethasone acetate every week and SIS3 group was treated with additional 100 μg/ml SIS3 nanomicelle eye drops 3 times daily for up to 4 weeks.Intraocular pressure (IOP) was measured weekly using Icare rebound tonometer.Mice were sacrificed 4 weeks after treatment, and the eyeballs were removed.Morphology of trabecular meshwork (TM) tissues were detected by hematoxylin-eosin (HE) staining.The collagen deposition area in TM tissues were examined by Masson staining.Fibronectin (FN) and collagen type Ⅰ (Col-1) in the extracellular matrix of TM tissue were detected by immunofluorescence staining.TM tissues were obtained from donated patients, and primary human trabecular meshwork cells (HTMCs) were obtained by culture.The expression level of myocilin in dexamethasone-induced HTMCs was detected by immunofluorescence and Western blot for cell identification.Primary HTMCs were divided into normal control group, dexamethasone group and SIS3 group cultured with normal culture medium, medium containing 400 nmol/L dexamethasone, medium containing 400 nmol/L dexamethasone+ 10 μmol/L SIS3 for 48 hours, respectively.The expression levels of FN, Col-1 and p-Smad3/Smad3 proteins were measured by Western blot.The use and care of animals complied with the ARVO statement.This study protocol was approved by the Animal Ethics Committee of Zhengzhou University (No.ZZU-LA20220729).The collection of TM tissue specimens complied with the Declaration of Helsinki and was approved by the Medical Ethics Committee of Henan Provincial Eye Hospital (No.HNEECKY-2022[18]).The patients knew the purpose of the experiment and signed the informed consent forms.Results:There was a significant overall difference in IOP among the three groups at different time points after administration ( Fgroup=72.94, P<0.001; Ftime=33.19, P<0.001).Compared with baseline, IOP was increased in the dexamethasone group at each time point after administration, and the differences were statistically significant (all P<0.001).The IOP of the control and SIS3 groups at weeks 1, 2, 3, 4 were significantly lower than that of the dexamethasone group (all P<0.001).HE staining showed that the iridocorneal angles of all groups were open with similar morphology of the TM structure.Masson staining showed that the positive expression area of collagen in the control group, dexamethasone group and SIS3 group was (9.57±2.91)%, (27.75±5.88)% and (11.67±3.78)%, respectively, with a statistically significant difference among the three groups ( F=25.91, P<0.001), and the positive expression area of collagen was significantly lower in the control group and SIS3 group than in the dexamethasone group (all P<0.001).The fluorescence expression level of FN in the control group, dexamethasone group and SIS3 group was 8.00±1.92, 14.01±2.74 and 7.85±0.64, respectively, and the fluorescence expression level of Col-1 was 6.90±1.16, 14.36±3.19 and 4.90±0.88, respectively, with statistically significant differences among the three groups ( F=15.93, 30.29; both P<0.001), and the fluorescence expression levels of FN and Col-1 were significantly lower in the control group and SIS3 group than in the dexamethasone group (all P<0.01).Immunofluorescence staining and Western blot showed that the cultured primary cells expressed myocilin and the expression level of myocilin was significantly increased after dexamethasone induction, which was identified as HTMCs.There were statistically significant differences in the relative expression levels of FN, Col-1, and p-Smad3/Smad3 proteins among different groups of cells ( F=8.22, 23.08, 8.78; all P<0.05), and the relative expression levels of FN, Col-1, and p-Smad3/Smad3 proteins were significantly lower in the control group and SIS3 group than in the dexamethasone group (all P<0.05). Conclusions:SIS3 reduces IOP by inhibiting p-Smad3, reducing extracellular matrix deposition in TM, and reducing fibrosis in the TM tissue.