BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67％.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P＜0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95％CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.

Objective To investigate the longitudinal relationship between sleep duration(SD)and positive youth development(PYD)among primary and secondary school students in Chengdu city using a cross-lagged model,and to provide scientific evidence for enhancing sleep management practices for students.Methods A total of 4061 students of grades 3 through 9 from the Chengdu Child Positive Development Cohort were included in this three-wave longitudinal study.There was a one-year interval between one survey and the following round of survey,and the time points for the baseline,12-month follow-up,and 24-month follow-up surveys were designated T0,T1,and T2.The PYD of the participants was assessed using the Chinese version of the Positive Youth Development Scale.The demographic data and the average daily SD over the past month were collected.Spearman correlation analysis was performed to examine the associations between SD and PYD,and a cross-lagged model was used to investigate the longitudinal relationship between them.Results The average daily SD for the 3 rounds of surveys conducted at T0,T1,and T2 was 9.00(8.04,10.00)hours,10.44(9.67,11.11)hours,and 10.39(9.83,11.00)hours,respectively,while the PYD scores were 5.30(4.73,5.71),5.27(4.73,5.73),and 5.39(4.89,5.77),respectively.Statistical significance was found in the differences of SD and PYD scores across the 3 rounds(P＜0.05).Spearman correlation analysis revealed synchronous correlations between SD and PYD at all three time points(r=0.10 at T0,r=0.18 at T1,and r=0.21 at T2,P＜0.05)and significant lagged correlations(e.g.,r=0.10 for T1-PYD and T2-SD,and likewise,significant correlation was found for the 3 other cross-lagged paths).The cross-lagged model demonstrated that PYD at T0 and T1 positively predicted SD at T1 and T2,respectively(β0-1=0.116[95％CI,0.083-0.150],β1-2=0.097(95％CI,0.067-0.127),P＜0.05),and that SD at T0 and T1 also positively predicted PYD at T1 and T2(β0-1=0.028[95％CI,0-0.056],β1-2=0.042[95％CI,0.010-0.074],P＜0.05).According to these findings,a bidirectional predictive relationship between SD and PYD across different time points was observed in primary and secondary school students.Furthermore,PYD demonstrated better performance for predicting SD than SD did for PYD.Subgroup analysis by sex confirmed the robustness of the predictive power of PYD for SD.Conclusion This study reveals a positive bidirectional predictive relationship between SD and PYD among primary and secondary school students,suggesting that higher levels of PYD may contribute to adequate sleep.These findings provide critical scientific evidence for schools and families to strengthen sleep management and promote the holistic development and well-being of adolescents.

Objective:To explore the diagnostic value of fractional flow reserve (FFR) based on optical coherence tomography (OCT) for coronary functional ischemia, and to investigate the feasibility of synchronously obtaining Doppler blood flow velocity information with the help of OCT technology.Methods:This study was a single-center, prospective, self-controlled clinical study on coronary heart disease patients who underwent OCT and FFR assessment at Department of Cardiology, the Second Hospital of Jilin University from January 2024 to February 2025. Linear regression analysis was used to evaluate the correlation and consistency between OCT-FFR and FFR. With FFR≤0.80 as the gold standard for judging whether the target vessel was ischemic, the diagnostic performance of OCT-FFR was evaluated, and the diagnostic value of OCT-FFR for significant coronary artery ischemia was assessed using subject operating characteristic curves. Blood flow OCT data were analyzed by Doppler processing algorithm to obtain information on coronary blood flow velocity.Results:A total of 31 vessels from 28 patients were analyzed, the correlation coefficient r between OCT-FFR and FFR of the 31 vessels was 0.84 ( P<0.001). With FFR as the gold standard to determine whether a coronary artery is ischemic, accuracy, sensitivity, specificity, positive predictive value, and negative predictive value for OCT-FFR was 93.55%, 75.00%, 100.00%, 1.00, 0.92. In clinical practice, Doppler OCT was used for the first time to obtain information on coronary blood flow velocity. Conclusion:OCT-FFR had an excellent correlation and consistency with FFR in judging whether there is coronary artery ischemia. The feasibility of the simultaneous acquisition of OCT-FFR and Doppler flow velocity information in coronary stenosis was preliminarily verified.

BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67％.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P＜0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95％CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.

Objective:To explore the diagnostic value of fractional flow reserve (FFR) based on optical coherence tomography (OCT) for coronary functional ischemia, and to investigate the feasibility of synchronously obtaining Doppler blood flow velocity information with the help of OCT technology.Methods:This study was a single-center, prospective, self-controlled clinical study on coronary heart disease patients who underwent OCT and FFR assessment at Department of Cardiology, the Second Hospital of Jilin University from January 2024 to February 2025. Linear regression analysis was used to evaluate the correlation and consistency between OCT-FFR and FFR. With FFR≤0.80 as the gold standard for judging whether the target vessel was ischemic, the diagnostic performance of OCT-FFR was evaluated, and the diagnostic value of OCT-FFR for significant coronary artery ischemia was assessed using subject operating characteristic curves. Blood flow OCT data were analyzed by Doppler processing algorithm to obtain information on coronary blood flow velocity.Results:A total of 31 vessels from 28 patients were analyzed, the correlation coefficient r between OCT-FFR and FFR of the 31 vessels was 0.84 ( P<0.001). With FFR as the gold standard to determine whether a coronary artery is ischemic, accuracy, sensitivity, specificity, positive predictive value, and negative predictive value for OCT-FFR was 93.55%, 75.00%, 100.00%, 1.00, 0.92. In clinical practice, Doppler OCT was used for the first time to obtain information on coronary blood flow velocity. Conclusion:OCT-FFR had an excellent correlation and consistency with FFR in judging whether there is coronary artery ischemia. The feasibility of the simultaneous acquisition of OCT-FFR and Doppler flow velocity information in coronary stenosis was preliminarily verified.

Objective:To evaluate the expression level of hsa-miR-422a in hypertrophic scars and to identify the target genes of hsa-miR-422a along with their biological functions using bioinformatics approaches.Methods:From June 2020 to December 2020, tissue samples of 3 hypertrophic scar and 3 normal skin were collected from patients (3 males, 3 females, aged 20-42 years) in Department of Plastic and Reconstructive Surgery, Shanghai Ninth People′s Hospital, Shanghai Jiaotong University School of Medicine. Primary fibroblasts were isolated and cultured. Real-time quantitative PCR was performed to quantify the expression of hsa-miR-422a. To construct a ceRNA network, starbase and Target Scandata bases were utilized to predict genes as well as long noncoding RNAs (lncRNAs) that may sponge hsa-miR-422a. GO and KEGG pathway enrichment analyses were conducted on the target genes of hsa-miR-422a; protein-protein interaction (PPI) networks were constructed to identify the hub genes whose functions were predicted by functional enrichment analyses. The expression of hub genes was validated through real-time quantitative PCR in hypertrophic scars.Results:The expression of hsa-miR-422a was significantly lower in the hypertrophic scar tissue samples and fibroblasts compared to that in the normal skin ( P<0.05). 133 target genes as well as 1033 lncRNAs were predicted by starBase and TargetScandata bases and used to construct an hsa-miR-422a-centered ceRNA network. PPI networks of the target genes revealed 10 hub genes, including MAPK1, GRB2, and IGF1R, which were discovered to be related to protein serine/threonine/tyrosine kinase activity, ubiquitin protein ligase binding, fibroblast growth factor receptor signaling pathway, muscle cell proliferation, and many others; besides, they may be involved in FoxO, mTOR, Toll-like receptor, Ras, MAPK, PI3K-Akt signaling pathways and signaling pathways regulating pluripotency of stem cells. Three hub genes (MAPK1, GRB2, and IGF1R) were significantly upregulated in hypertrophic scars ( P<0.05). Conclusions:hsa-miR-422a is significantly downregulated in the hypertrophic scars and may target hub genes such as MAPK1 in ceRNA networks, ultimately modulating hypertrophic scar formation.

Spinal muscular atrophy, lower extremity-predominant, 2A (SMALED2A) is a form of spinal muscular atrophy, which predominantly affects muscles of the lower extremity, characterized by early childhood onset of muscle weakness and atrophy. This disorder is caused by mutation in the BICD2 gene. This paper reports a case of SMALED2A with recurrent skin ulceration of both feet. Whole exome sequencing of this case revealed a chr9∶95527083_A>AGCC insertion mutation in the 5’UTR of BICD2 gene.

Spinal muscular atrophy, lower extremity-predominant, 2A (SMALED2A) is a form of spinal muscular atrophy, which predominantly affects muscles of the lower extremity, characterized by early childhood onset of muscle weakness and atrophy. This disorder is caused by mutation in the BICD2 gene. This paper reports a case of SMALED2A with recurrent skin ulceration of both feet. Whole exome sequencing of this case revealed a chr9∶95527083_A>AGCC insertion mutation in the 5’UTR of BICD2 gene.

In clinical application, a microneedle system that continuously delivers drugs is of great value for the delivery of some vaccines and hormone drugs. In this study, a controlled-release chitosan-based microneedle array (PVA/CS-MN) was designed, combining microneedle patches with drugs for controlled-release of drugs. Here we report the optimization of the preparation process of PVA/CS-MN. The appearance, morphology, mechanical properties, dissolution and swelling properties, and in vitro penetration properties of the MN arrays were characterized. The PVA/CS-MN prepared by the optimal process showed good morphology and mechanical properties. PVA/CS-MN can smoothly open microchannels on the skin and achieve controllable dissolution and swelling functions. Ascorbic acid (l-ascorbic acid) was used as a model drug to prepare a Vc-PVA/CS-MN. In vitro transdermal diffusion experiments showed that the Vc-PVA/CS-MN released about 57% of the drug within 1 h. About 66.7% of the drug was slowly released within 12 h, and a total of 92% of the drug was released after 7 days. The controllable sustained-release properties and excellent drug delivery efficiency of PVA/CS-MN provide a new option for sustained transdermal drug delivery.
Ascorbic Acid ; Chitosan ; Delayed-Action Preparations ; Drug Delivery Systems ; Hormones ; Vaccines

The previous pharmacokinetic methods can be only limited to drug analysis in vitro, which provide less information on the distribution and metabolismof drugs, and limit the interpretation and assessment of pharmacokinetics, the determination of metabolic principles, and evaluation of treatment effect. The objective of the study was to investigate the pharmacokinetic characteristics of gene recombination angiogenesis inhibitor Kringle 5 in vivo. The SPECT/CT and specific 131I-Kringle 5 marked by Iodogen method were both applied to explore the pharmacokinetic characteristics of 131I-Kringle 5 in vivo, and to investigate the dynamic distributions of 131I-Kringle 5 in target organs. Labeling recombinant angio-genesis inhibitor Kringle 5 using 131I with longer half-life and imaging in vivo using SPECT instead of PET, could overcome the limitations of previous methods. When the doses of 131I-Kringle 5 were 10.0, 7.5 and 5.0 g/kg, respectively, the two-compartment open models can be determined within all the metabolic process in vivo. There were no significant differences in t1/2α, t1/2β, apparent volume of distribution and CL between those three levels. The ratio of AUC(0 ? 1) among three different groups of 10.0, 7.5 and 5.0 g/kg was 2.56:1.44:1.0, which was close to the ratio (2:1.5:1.0). It could be clear that in the range of 5.0–10.0 g/kg, Kringle 5 was characterized by the first-order pharmacokinetics. Approximately 30 min after 131I-Kringle 5 was injected, 131I-Kringle 5 could be observed to concentrate in the heart, kidneys, liver and other organs by means of planar imaging and tomography. After 1 h of being injected, more radionuclide retained in the bladder, but not in intestinal. It could be concluded that 131I-Kringle 5 is mainly excreted through the kidneys. About 2 h after the injection of 131I-Kringle 5, the radionuclide in the heart, kidneys, liver and other organs was gradually reduced, while more radionuclide was concentrated in the bladder. The radionuclide was completely metabolized within 24 h, and the distribution of radioactivity in rats was similar to normal levels. In our study, the specific marker 131I-Kringle 5 and SPECT/CT were suc-cessfully used to explore pharmacokinetic characteristics of Kringle 5 in rats. The study could provide a new evaluation platform of the specific, in vivo and real-time functional imaging and pharmacokinetics for the clinical application of 131I-Kringle 5.