BACKGROUND:Growth factor is the key effect molecule that plays a role in platelet-rich plasma in clinical treatment.There are differences in the concentration of growth factor after different activators activate platelet-rich plasma,which is an important factor affecting clinical efficacy. OBJECTIVE:To analyze the influence of different activators on the mass concentration of growth factors in platelet-rich plasma. METHODS:Totally 12 healthy volunteers were recruited to collect EDTA-K2 anticoagulant venous blood.Secondary centrifugation was used to prepare platelet-rich plasma.The difference in mass concentrations of growth factors was compared between venous blood and platelet-rich plasma.The platelet-rich plasma was mixed with four activators(normal saline,thrombin,calcium gluconate,calcium gluconate+thrombin)according to the volume ratio of 10:1,and incubated in a constant temperature water bath at 37 °C for 30 minutes.After centrifugation,the supernatant was extracted and the mass concentration of growth factor was detected.The bacterial growth in supernatant was measured by blood agar plate.Pearson correlation was used to analyze the correlation between different activators and the mass concentration of growth factor in platelet-rich plasma,and the correlation between the value of thrombocytometer and the mass concentration of growth factors in platelet-rich plasma. RESULTS AND CONCLUSION:(1)The mass concentrations of platelet-derived growth factor-BB,platelet-derived growth factor-AB,vascular endothelial growth factor,and epidermal growth factor in platelet-rich plasma were 8.7,22.2,2.3,and 2.8 times of those in venous blood,respectively(P<0.05).(2)Compared with normal saline group,the mass concentrations of platelet-derived growth factor BB,platelet-derived growth factor AB,vascular endothelial growth factor,and epidermal growth factor were increased in the thrombin group,calcium gluconate group,and calcium gluconate+thrombin group(P<0.05).The mass concentration of platelet-derived growth factor BB in the thrombin group and calcium gluconate group was higher than that in the calcium gluconate+thrombin group(P<0.05),and the mass concentration of platelet-derived growth factor AB in the thrombin group was higher than that in the calcium gluconate group and calcium gluconate+thrombin group(P<0.05).Epidermal growth factor mass concentration in the thrombin group was lower than that in the calcium gluconate group and calcium gluconate+thrombin group(P<0.05).(3)The results of blood agar plate test showed no bacterial growth in the supernatant of the four groups.(4)Pearson correlation analysis showed that the mass concentration of platelet-derived growth factor BB in platelet-rich plasma was strongly positively correlated with thrombin(r=0.683,P<0.05),and the mass concentration of vascular endothelial growth factor was strongly positively correlated with thrombin,calcium gluconate,calcium gluconate+thrombin stimulant(r=0.730,0.789,0.686,P<0.05).There was no correlation between the value of thrombocytometer and the mass concentration of four kinds of growth factors(P>0.05).(5)The results suggest that different activators have an impact on the concentration of growth factors in platelet-rich plasma.It is suggested to choose different activators to improve clinical efficacy according to different growth factor mass concentrations and treatment needs.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective To explore the potential cuproptosis-related genes(CRGs)in patients with multiple myeloma(MM)and develop a prognostic model for improving prognosis and revealing features of the MM immune microenvironment.Methods ① Transcriptome sequencing data and clinical information were retrieved from the GSE4581 dataset in the Gene Expression Omnibus(GEO)database and the Cancer Genome Atlas-Multiple Myeloma Research Foundation(TCGA-MMRF)database.The 859 patients from the TCGA-MMRF database were assigned into a training set,and the other 414 ones from the GSE4581 dataset into a validation set.LASSO-Cox and multivariate Cox regression analyses were used to construct prognostic models and calculate risk scores.Based on the median risk score,they were categorized into high-and low-risk cohorts.Time-dependent receiver operating characteristic(ROC)and calibration curves were plotted to assess the predictive performance and accuracy of the model.The differences between the high-and low-risk cohorts were explored using Kaplan-Meier survival curve analysis and immune microenvironment correlation analysis.② RT-qPCR and Western blotting were used to verify the expression of prognostic model genes in MM cell lines and normal bone marrow single-nucleated cells,and CCK-8 assay,flow cytometry,and Western blotting were applied to verify the biological function of UBE2D1 in MM cells.Results ① LASSO-Cox and multivariate Cox regression analyses revealed that the model consisted of 4 genes,CDKN2A[HR=1.60(95%CI:1.24～2.05),P=2.5e-4],PDE3B[HR=1.33(95%CI:1.09～1.62),P=4.2e-3],UBE2D1[HR=1.65(95%CI:1.20～2.26),P=2.1e-3]and COA6[HR=1.35(95%CI:1.07～1.71),P=0.01].In the training set,the time-dependent ROC curves predicted that the area under curve(AUC)value of 1-,3-,and 5-year survival rate was 0.63,0.71,and 0.78,respectively,and in the validation set,the AUC value was 0.656,0.657,and 0.797,respectively.Calibration curve analysis showed excellent agreement in predicting 1-,3-,and 5-year prognosis.In the training set,Kaplan-Meier curves showed that patients in the high-risk cohort had a significantly shorter overall survival(OS)than the low-risk cohort[HR=2.18(95%CI:1.58～3.02),P<0.001],and in the validation set,the high-risk cohort still had a shorter OS than the low-risk cohort[HR=2.45(95%CI:1.49～4.05),P<0.001].Immune correlation analysis revealed that the ratios of immune cells,such as plasma cells and CD4+T cells were significantly lower in the high-risk cohort(P<0.05),and the risk scores were positively correlated with the expression of immune checkpoint CTLA-4,tumor-targeted therapeutic sites TNFSF4 and ENTPD1,and microenvironmental chemokines CXCL16,CCL8,and CCL16(P<0.05).② Remarkable differences were observed in the expression of all 4 prognostic model genes between the MM cell lines and normal bone marrow single-nucleated cells(P<0.05),and knockdown of UBE2D1 notably inhibited the proliferation of MM cells(P<0.05).Conclusion Our prognostic models based on CDKN2A,PDE3B,UBE2D1,and COA6 genes can predict the prognosis of MM patients.The risk scores of the genes are significantly correlated with immune infiltration in the tumor microenvironment,which providing new molecular markers for individualized therapy.

Objective:To analyze the clinical efficacy and learning curve of robotic-assisted Warshaw procedure using the da Vinci system.Methods:Clinical data of 91 consecutive patients with pancreatic body and tail lesions undergoing robotic-assisted Warshaw procedure at Qingdao University Affiliated Hospital from October 2021 to April 2023 were retrospectively analyzed, including 21 males and 70 females, aged (50.2±14.3) years. Patient characteristics, operative time, and intraoperative blood loss were recorded. The learning curve was constructed using cumulative sum (CUSUM) analysis, with case number on the x-axis and CUSUM values on the y-axis. Linear fitting was performed, and the model with the highest determination coefficient was selected as the optimal fitting model. The learning process was divided into two phases based on the inflection point of the CUSUM learning curve: the learning phase and the proficiency phase. Perioperative outcomes were compared between these two phases.Results:All 91 procedures were successfully completed using the da Vinci robotic system with R0 resection margins. There were no perioperative mortalities or reoperations due to postoperative splenic infarction. The operative time was (227.84±76.68) min. The optimal fitting equation for the CUSUM learning curve was: CUSUM=0.005 640X 3-1.501X 2+ 92.59X-183.1. The CUSUM learning curve showed an inflection point at case 39, dividing the learning process into the learning phase (cases 1-39) and proficiency phase (cases 40-91). Compared to the learning phase, the proficiency phase demonstrated significantly shorter operative time [(203.0±75.6) min vs. (260.9±65.5) min], less intraoperative blood loss [50.0 (20.0, 50.0) ml vs. 100.0 (50.0, 100.0) ml], and reduced postoperative drainage duration [(8.7±2.4) d vs. (10.8±3.2) d] (all P<0.05). Conclusion:The robotic-assisted Warshaw procedure feasible for patients with pancreatic body and tail lesions. Surgeons require approximately 39 cases to complete the learning curve and achieve proficiency in this procedure.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective:To analyze the clinical efficacy and learning curve of robotic-assisted Warshaw procedure using the da Vinci system.Methods:Clinical data of 91 consecutive patients with pancreatic body and tail lesions undergoing robotic-assisted Warshaw procedure at Qingdao University Affiliated Hospital from October 2021 to April 2023 were retrospectively analyzed, including 21 males and 70 females, aged (50.2±14.3) years. Patient characteristics, operative time, and intraoperative blood loss were recorded. The learning curve was constructed using cumulative sum (CUSUM) analysis, with case number on the x-axis and CUSUM values on the y-axis. Linear fitting was performed, and the model with the highest determination coefficient was selected as the optimal fitting model. The learning process was divided into two phases based on the inflection point of the CUSUM learning curve: the learning phase and the proficiency phase. Perioperative outcomes were compared between these two phases.Results:All 91 procedures were successfully completed using the da Vinci robotic system with R0 resection margins. There were no perioperative mortalities or reoperations due to postoperative splenic infarction. The operative time was (227.84±76.68) min. The optimal fitting equation for the CUSUM learning curve was: CUSUM=0.005 640X 3-1.501X 2+ 92.59X-183.1. The CUSUM learning curve showed an inflection point at case 39, dividing the learning process into the learning phase (cases 1-39) and proficiency phase (cases 40-91). Compared to the learning phase, the proficiency phase demonstrated significantly shorter operative time [(203.0±75.6) min vs. (260.9±65.5) min], less intraoperative blood loss [50.0 (20.0, 50.0) ml vs. 100.0 (50.0, 100.0) ml], and reduced postoperative drainage duration [(8.7±2.4) d vs. (10.8±3.2) d] (all P<0.05). Conclusion:The robotic-assisted Warshaw procedure feasible for patients with pancreatic body and tail lesions. Surgeons require approximately 39 cases to complete the learning curve and achieve proficiency in this procedure.

Objective:To explore the clinical characteristics and risk factors of abnormal urinary albumin/creatinine ratio(UACR) in obese population.Methods:Baseline data from 2011 to 2012 in Henan Sub-center of"Risk Evaluation of cAncers in Chinese diabeTic Individuals: A lONgitudinal(REACTION) study"were utilized and those of body mass index≥28 kg/m 2 were screened. The patients were divided into UACR normal group and UACR abnormal group(101 pairs) upon being matched on a 1∶1 basis by age and gender. Multivariate logistic regression analysis, receiver operating characteristic(ROC) curve, and restricted cubic spline(RCS)analysis were performed to explore the risk factors for abnormal UACR. Results:Compared with the normal UACR group, the UACR abnormal group had a higher number of alcohol consumers, a higher prevalence of hypertension, elevated systolic blood pressure, and triglyceride(all P<0.05). Multivariate logistic regression analysis showed that alcohol consumption( P=0.008), systolic blood pressure( P<0.001), triglyceride( P=0.049), and homeostasis model assessment for insulin resistance(HOMA-IR, P=0.033) were independent risk factors for abnormal UACR in obese people. The ROC curve analysis indicated that systolic blood pressure had the strongest diagnostic performance as a single factor(ROC curve area=0.801), and there was no significant difference in diagnostic performance compared to multiple factors combination. RCS analysis results showed that the probability of abnormal UACR increased monotonically with the increase of systolic blood pressure when the systolic blood pressure was between 130 and 158 mmHg(1 mmHg=0.133 kPa). When systolic blood pressure was not in the interval, the probability of abnormal UACR did not change significantly. The results of regression analysis of triglyceride subgroup showed that when triglyceride level was greater than or equal to 5.6 mmol/L, the risk of abnormal UACR level was significantly increased( P=0.029). Conclusion:Systolic blood pressure, triglyceride, HOMA-IR, and alcohol drinking history are independent risk factors for abnormal UACR in obese people. When systolic blood pressure is≥130 mmHg or triglyceride is≥5.6 mmol/L, the risk of abnormal UACR is significantly increased.

Different porous structures were studied through finite element analysis and then optimal porous structure was selected for the orthopedic applications.The optimal Voronoi structure was designed and fabricated using 3D printing.The mechanical properties and osseointegration ability were both investigated.The mechanical tests showed that the tensile strength,compressive strength and bending strength of Voronoi structures were obviously higher than that of the human bone,and the modulus of Voronoi structures were similar to human bone.In addition,the animal experimental results exhibited that obvious bone ingrowth was found from Month 1 to Month 6.This study provides some theoretical references for the orthopedic application of porous structures.

Objective To introduce a locating device for the entry point of intramedullary nail based on the inertial navigation technology,which utilizes multi-dimensional angle information to assist in rapid and accurate positioning of the ideal direction of femoral anterograde intramedullary nails'entry point,and to verify its clinical value through clinical tests.Methods After matching the locating module with the developing board,which are the two components of the locating device,they were placed on the skin surface of the proximal femur of the affected side.Anteroposterior fluoroscopy was performed.The developing angle corresponding to the ideal direction of entry point was selected based on the X-ray image,and then the yaw angle of the locating module was reset to zero.After resetting,the locating module was combined with the surgical instrument to guide the insertion angle of the guide wire.The ideal direction of entry point was accurately located based on the angle guidance.By setting up an experimental group and a control group for clinical surgical operations,the number of guide wire insertion times,surgical time,fluoroscopy frequency,and intraoperative blood loss with or without the locating device was recorded.Results Compared to the control group,the experimental group showed significant improvement in the number of guide wire insertion times,surgical time,fluoroscopy frequency,and intraoperative blood loss,with a statistically significant difference(P<0.01).Conclusion The locating device can assist doctors in quickly locating the entry point of intramedullary nail,effectively reducing the fluoroscopy frequency and surgical time by improving the success rate of the guide wire insertion with one shot,improving surgical efficiency,and possessing certain clinical value.

Objective:To investigate the current situation of diet management in patients with colorectal cancer after stent-based diverting technique, and to provide basis for formulating relevant nursing intervention strategies.Methods:Objective sampling method was used to conduct semi-structured interviews on 15 patients who underwent stent-based diverting technique for colorectal cancer and had the bypass tube removed from Sir Run Run Shaw Hospital Affiliated to Medical College of Zhejiang University from March to July 2023. The interview outline was established based on information-motivation-behavioral skills(IMB) model, and the data were analyzed, summarized and extracted by Colaizzi 7-step analysis method.Results:There were 10 males and 5 females, aged 34-76 years old. According to the three elements of the IMB model, the current situation of diet management was summarized into nine themes. The information included the difficulty in obtaining effective diet guidance information, the lack of specific diet guidance content, the need for individualized diet information guidance mode, and the poor continuity of information exchange after discharge. The motivations included ignoring the importance of diet management, dislike the taste of oral nutritional preparations, and weak support from family members. Behavioral skills include inadequate tube care skills and lack of oral nutrition preparation skills.Conclusions:There are many problems in the diet management of patients after colorectal cancer stent-based diverting technique. Medical staff should optimize the diet education information of colorectal cancer patients after surgery, provide multi-level, multi-time and multi-form continuous care, mobilize the active participation of family members, improve the motivation of patients′ diet management, refine the nursing process of the bypass tube, strengthen the application guidance of oral nutrition preparation skills, and improve patients′ diet management ability.