Background::Previous studies have reported associations of specific maternal and paternal lifestyle factors with offspring’s cognitive development during early childhood. This study aimed to investigate the prospective associations between overall parental lifestyle and offspring’s cognitive performance during adolescence and young adulthood in China.Methods::We included 2531 adolescents aged 10-15 years at baseline in 2010 from the China Family Panel Studies. A healthy parental lifestyle score (ranged 0-5) was constructed based on the following five modifiable lifestyle factors: Smoking, drinking, exercise, sleep, and diet. Generalized estimating equation models were used to examine the association between baseline parental healthy lifestyle scores and offspring’s fluid and crystallized intelligence in subsequent years (2012, 2014, 2016, and 2018).Results::Offspring in the top tertile of parental healthy lifestyle scores performed better in overall fluid intelligence (multivariable-adjusted β = 0.53, 95% confidence interval [CI]: 0.29-0.77) and overall crystallized intelligence (multivariable-adjusted β = 0.35, 95% CI: 0.16-0.54) than those in the bottom tertile of parental healthy lifestyle scores. The results were similar after further adjustment for the offspring’s healthy lifestyle scores and persisted across the subgroups of parental socioeconomic status. Additionally, maternal and paternal healthy lifestyle scores were independently associated with better offspring’s cognitive performance, with significant contribution observed for paternal never-smoking, weekly exercise, and diversified diet. When both parents and offspring adhered to a healthier lifestyle, we observed the highest level of the offspring’s overall crystallized intelligence. Conclusions::Our study indicates that parental adherence to a healthier lifestyle is associated with significantly better offspring’s cognitive performance during adolescence and early adulthood, regardless of socioeconomic status. These findings highlight the potential cognitive benefits of promoting healthy lifestyles among parents of adolescents.

BACKGROUND:Distal tibial tuberosity-high tibial osteotomy is a surgical treatment for knee osteoarthritis,but there is still a lack of clinical studies on its effect on ankle joints. OBJECTIVE:To observe the effects of distal tibial tuberosity-high tibial osteotomy on ankle angle on coronal plane of the radiography of the full length of lower limb in weight loading. METHODS:Data of 40 patients(41 knees)with distal tibial tuberosity-high tibial osteotomy from March 2021 to March 2022 were retrospectively analyzed,including 31 females and 9 males,20 left knees and 21 right knees,aged 49-75 years,mean(63.44±6.57)years.The radiographic data of the full length of the lower limb in weight loading were collected before,week 2 and week 48 postoperatively.Hip-knee-ankle angle,talar tilt angle,tilt angle of the ankle,tibiocrural angle,and tibial articular surface angle were measured before and after surgery. RESULTS AND CONCLUSION:(1)Hip-knee-ankle angle improved from(-6.24±3.69)° before operation to(2.59±3.49)° week 2 postoperatively and(2.15±3.49)° week 48 postoperatively.The tilt angle of the ankle changed from(-7.90±3.11)° before operation to(-2.51±2.59)° week 2 postoperatively and(-2.46±2.42)° week 48 postoperatively,with statistically significant difference(P<0.001).(2)There was no significant difference in talar tilt angle,tibiocrural angle,and tibial articular surface angle before and week 2 postoperatively.(3)No significant difference in the angle changes was detected between week 2 and week 48 postoperatively.(4)It is indicated that distal tibial tuberosity-high tibial osteotomy can not only correct genu varus but also improve ankle angle.This result remains stable after 48 weeks of weight-bearing activities.

Recently,the substance P(SP)/neurokinin-1 receptor(NK-1R)system has been found to be involved in various human pathophysiological disorders including the symptoms of coronavirus disease 2019(COVID-19).Besides,studies in the oncological field have demonstrated an intricate correlation between the upregulation of NK-1R and the activation of SP/NK-1R system with the progression of multiple carcinoma types and poor clinical prognosis.These findings indicate that the modulation of SP/NK-1R system with NK-1R antagonists can be a potential broad-spectrum antitumor strategy.This review updates the latest potential and applications of NK-1R antagonists in the treatment of human diseases and cancers,as well as the underlying mechanisms.Furthermore,the strategies to improve the bioavailability and efficacy of NK-1R antagonist drugs are summarized,such as solid dispersion systems,nanonization,and nanoencapsulation.As a radiopharmaceutical therapeutic,the NK-1R antagonist aprepitant was originally developed as radioligand receptor to target NK-1R-overexpressing tumors.However,combining NK-1R antagonists with other drugs can produce a synergistic effect,thereby enhancing the therapeutic effect,alleviating the symptoms,and improving patients'quality of life in several diseases and cancers.

Objective To construct and validate a risk prediction model for enteral nutrition feeding intolerance (FI) in patients with severe cerebral hemorrhage based on machine learning algorithms. Methods The clinical data of 485 patients with cerebral hemorrhage admitted to the neurological intensive care unit of Northern Jiangsu People's Hospital Affiliated to Yangzhou University from January 2020 to December 2022 were retrospectively analyzed. The patients were randomly divided into training set (n=339) and validation set (n=146) in a 7 to 3 ratio. Five machine learning algorithms were used to construct FI risk prediction models. The receiver operating characteristic (ROC) curve was plotted, and the model with the best predictive performance was selected based on the area under the curve (AUC). A nomogram model was constructed based on the optimal model. The calibration curve and decision curve analysis (DCA) were used to evaluate the calibration and clinical net benefit of the nomogram model. Results The incidence of enteral nutrition FI in patients with severe cerebral hemorrhage was 38.4%(186/485). Among the five machine learning algorithm models, the Logistic regression model had the best predictive performance(AUC=0.88). The analysis results of the Logistic regression model showed that the use of diuretics, mechanical ventilation, Glasgow Coma Scale score ≤5, vasoactive drugs, and albumin level<35 g/L were risk factors for enteral nutrition FI in patients with severe cerebral hemorrhage. A nomogram model was further constructed based on these five risk factors. The calibration curve analysis showed that the calibration curve fitted well with the ideal curve, indicating a high calibration degree of the nomogram model. The DCA results showed that when the threshold probability was 5% to 73%, the application of the nomogram model for screening could clinically benefit patients. Conclusion The construction of a nomogram model for predicting the risk of enteral nutrition FI in patients with severe cerebral hemorrhage based on machine learning methods can help to early screen high-risk patients for enteral nutrition FI and timely formulate preventive measures, thereby reducing the incidence of enteral nutrition FI in patients with severe cerebral hemorrhage.

BACKGROUND: Breast cancer patients who are positive for hormone receptor typically exhibit a favorable prognosis. It is controversial whether chemotherapy is necessary for them after surgery. Our study aimed to establish a multigene model to predict the relapse of hormone receptor-positive early-stage Chinese breast cancer after surgery and direct individualized application of chemotherapy in breast cancer patients after surgery. METHODS: In this study, differentially expressed genes (DEGs) were identified between relapse and nonrelapse breast cancer groups based on RNA sequencing. Gene set enrichment analysis (GSEA) was performed to identify potential relapse-relevant pathways. CIBERSORT and Microenvironment Cell Populations-counter algorithms were used to analyze immune infiltration. The least absolute shrinkage and selection operator (LASSO) regression, log-rank tests, and multiple Cox regression were performed to identify prognostic signatures. A predictive model was developed and validated based on Kaplan-Meier analysis, receiver operating characteristic curve (ROC). RESULTS: A total of 234 out of 487 patients were enrolled in this study, and 1588 DEGs were identified between the relapse and nonrelapse groups. GSEA results showed that immune-related pathways were enriched in the nonrelapse group, whereas cell cycle- and metabolism-relevant pathways were enriched in the relapse group. A predictive model was developed using three genes ( CKMT1B , SMR3B , and OR11M1P ) generated from the LASSO regression. The model stratified breast cancer patients into high- and low-risk subgroups with significantly different prognostic statuses, and our model was independent of other clinical factors. Time-dependent ROC showed high predictive performance of the model. CONCLUSIONS A multigene model was established from RNA-sequencing data to direct risk classification and predict relapse of hormone receptor-positive breast cancer in Chinese patients. Utilization of the model could provide individualized evaluation of chemotherapy after surgery for breast cancer patients.
Humans ; Female ; Breast Neoplasms/genetics* ; East Asian People ; Neoplasm Recurrence, Local/genetics* ; Breast ; Algorithms ; Chronic Disease ; Prognosis ; Tumor Microenvironment

Objective To investigate the predictive value of preoperative frailty for pulmonary com-plications(PPCs)after cardiac surgery in elderly patients.Methods A total of 162 elderly patients,109 males and 53 females,aged 65-83 years,BMI 18-36 kg/m2,ASA physical status Ⅱ-Ⅳ,underwent elec-tive open heart surgery from July 2022 to January 2023 were collected.The patients were divided into two groups according to the occurrence of PPCs:the PPCs group(n=57)and the non-PPCs group(n=105).General information,smoking history,alcohol consumption history,EuroSCORE Ⅱ,frailty,chronic comorbidities(hypertension,diabetes mellitus,myocardial infarction,pulmonary hypertension,chronic ob-structive pulmonary disease,sleep apnea syndrome,etc.),Hb,creatinine,albumin,pulmonary function indices,left ventricular ejection fraction,type of surgery,duration of surgery,aortic clamping time,and cardiopulmonary bypass time were collected.Factors with P＜0.2 and clinically significant in the univariate regression analysis were included in the multivariate logistic regression analysis,and the predictive efficacy of the Fried frailty scale and EuroSCORE Ⅱ for PPCs were compared by the area under the ROC curve(AUC).Results PPCs occurred in 57 patients(35.2％).Multifactorial Logistic regression analysis showed that frailty(OR=3.14,95％CI 1.05-9.37,P＜0.05)and EuroSCORE Ⅱ(OR=2.16,95％CI 1.01-4.60,P＜0.05)were risk factors for the development of PPCs.The predictive power of Fried frailty scale(AUC=0.76,95％CI 0.68-0.82)was significantly higher than that of EuroSCORE Ⅱ(AUC=0.65,95％CI 0.57-0.72)(P＜0.05).Conclusion Preoperative frailty is the independent risk factors for pulmonary complications after cardiac surgery in elderly patients,and the Fried frailty scale has a better predictive efficacy compared to EuroSCORE Ⅱ,a traditional risk predictor.

Objective To explore the utility of CT for the evaluation of abdominal aortic calcification(AAC)in chronic kidney disease(CKD).Methods Laboratory examination indexes and abdominal plain CT imaging of 132 CKD stage 3-5 patients were analyzed retrospectively.The ACC score was evaluated according to quantitative method,the risk factors related to AAC were analyzed.Results In correlation analyses,AAC score was positively correlated with creatinine(Cr)level,CO2 combining power(P＜0.05),and negatively corrected with albumin(ALB).Logistic regression analysis showed that Cr level were risk factors for AAC,and ALB were protective factors.Conclusion Based on abdominal plain CT images,Cr level,CO2 combining power and ALB level are related to AAC.Quantitative method based on CT has a high application value in evaluating AAC.

Purpose: We aimed to explore whether the prognosis of patients treated with capecitabine and oxaliplatin (XELOX) or S-1 and oxaliplatin (SOX) regimens who received fewer cycles of chemotherapy after D2 radical resection for gastric cancer (GC) would be non-inferior to that of patients who received the standard number of cycles of chemotherapy. Materials and Methods: Data on patients who received XELOX or SOX chemotherapy after undergoing D2 radical resection at Harbin Medical University Cancer Hospital between January 2011 and May 2016 were collected. Results: In patients who received 4, 6, and 8 cycles of chemotherapy, the 5-year overall survival (OS) rates were 59.4%, 64.8%, and 62.7%, respectively. Compared to patients who received 4 cycles of chemotherapy, those who received 6 cycles (hazard ratio [HR], 0.882; 95% confidence interval [CI], 0.599–1.299; P=0.52) or 8 cycles (HR, 0.882; 95% CI, 0.533–1.458; P=0.62) of chemotherapy did not exhibit significantly prolonged OS. The 3-year disease-free survival (DFS) rate of patients who received 4, 6, and 8 cycles of chemotherapy was 62.1%, 67.2%, and 60.8%, respectively. Compared to patients who received 4 cycles of chemotherapy, those who received 6 cycles (HR, 0.835; 95% CI, 0.572–1.221; P=0.35) or 8 cycles (HR, 0.972; 95% CI, 0.606–1.558; P=0.91) of chemotherapy did not show significantly prolonged DFS. However, the 3-year DFS and 5-year OS rates of patients who received 6 cycles of chemotherapy appeared to be superior to those of patients who received 4 and 8 cycles of chemotherapy. Conclusions For patients with stage III GC, 4 to 6 cycles of XELOX or SOX chemotherapy may be a favorable option. This study provides a rationale for further randomized clinical trials.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is an underdiagnosed genetic heart disease worldwide. The management and prognosis of obstructive HCM (HOCM) and non-obstructive HCM (HNCM) are quite different, but it also remains challenging to discriminate these two subtypes. HCM is characterized by dysmetabolism, and myocardial amino acid (AA) metabolism is robustly changed. The present study aimed to delineate plasma AA and derivatives profiles, and identify potential biomarkers for HCM. METHODS: Plasma samples from 166 participants, including 57 cases of HOCM, 52 cases of HNCM, and 57 normal controls (NCs), who first visited the International Cooperation Center for HCM, Xijing Hospital between December 2019 and September 2020, were collected and analyzed by high-performance liquid chromatography-mass spectrometry based on targeted AA metabolomics. Three separate classification algorithms, including random forest, support vector machine, and logistic regression, were applied for the identification of specific AA and derivatives compositions for HCM and the development of screening models to discriminate HCM from NC as well as HOCM from HNCM. RESULTS: The univariate analysis showed that the serine, glycine, proline, citrulline, glutamine, cystine, creatinine, cysteine, choline, and aminoadipic acid levels in the HCM group were significantly different from those in the NC group. Four AAs and derivatives (Panel A; proline, glycine, cysteine, and choline) were screened out by multiple feature selection algorithms for discriminating HCM patients from NCs. The receiver operating characteristic (ROC) analysis in Panel A yielded an area under the ROC curve (AUC) of 0.83 (0.75-0.91) in the training set and 0.79 (0.65-0.94) in the validation set. Moreover, among 10 AAs and derivatives (arginine, phenylalanine, tyrosine, proline, alanine, asparagine, creatine, tryptophan, ornithine, and choline) with statistical significance between HOCM and HNCM, 3 AAs (Panel B; arginine, proline, and ornithine) were selected to differentiate the two subgroups. The AUC values in the training and validation sets for Panel B were 0.83 (0.74-0.93) and 0.82 (0.66-0.98), respectively. CONCLUSIONS The plasma AA and derivatives profiles were distinct between the HCM and NC groups. Based on the differential profiles, the two established screening models have potential value in assisting HCM screening and identifying whether it is obstructive.
Humans ; Amino Acids ; Cysteine ; Cardiomyopathy, Hypertrophic/diagnosis* ; Biomarkers ; Proline ; Arginine ; Ornithine ; Glycine ; Choline

Objective:To investigate the correlation between paraspinal muscle atrophy, morphological changes of facet joints and adjacent segment disease (ASDis) after lumbar fusion operation.Methods:A retrospective study was conducted among 195 patients who underwent posterior lumbar fusion again for ASDis at this institution from January 2014 to December 2020, including 29 patients with ASDis whose initial surgical fusion segment was L 4,5. According to Roussouly's staging, there were 5 cases of type I, 9 cases of type II, 10 cases of type III, and 5 cases of type IV. Another 29 cases were selected from patients without ASDis after lumbar fusion as a control group. The control group was paired 1∶1 with the ASDis group according to gender, fusion segment, and Roussouly typing of the lumbar spine. The cross-sectional area (CSA) and fat infiltration (FI) of paravertebral muscle, facet joint angle (F-J) and pedicle facet (P-F) angle before the first (second) operation were measured and compared between the two groups. Then logistic regression analysis was used to determine the predictors of ASDis after posterior lumbar fusion. Finally, the receiver operation characteristic (ROC) curve was described, and the area under the curve (AUC) and cut-off point were calculated. At the same time, the paraspinal muscle atrophy before the second operation in ASDis group was measured. Results:The average follow-up time of 98 patients was 59.25±6.38 months (range, 49-73 months). The average body mass index (BMI) of ASDis group was 24.76±3.64 kg/m 2, which was higher than that in control group (22.24±2.92 kg/m 2) ( t=2.481, P=0.041). The average CSA and relative cross-sectional area (rCSA) of paraspinal muscle in ASDis group were 3 214.32± 421.15 mm 2 and 1.69±0.36 respectively, which were less than 3 978.91±459.87 mm 2 and 2.26±0.29 in control group ( t=10.22, P=0.012; t=9.47, P=0.038). The FI degree of paraspinal muscle in ASDis group (21.95%±5.89%) was significantly higher than that in control group (14.64%±7.11%) ( t=7.32, P=0.002). The F-J angle in ASDis group was 35.06°±3.45°, which was less than 38.39°±4.67° in control group ( t=4.76, P=0.027). The P-F angle in ASDis group was 117.39°±8.13°, which was greater than 111.32°±4.78° in control group ( t=5.25, P=0.031). Multivariate logistic regression analysis showed that higher BMI ( OR=1.34, P=0.038), smaller rCSA of paraspinal muscle ( OR=0.02, P=0.017) and higher FI of paraspinal muscle ( OR=1.58, P=0.032) were the risk factors of postoperative ASDis. The ROC curve showed that the AUC of BMI was 0.680 and the cut-off point was 22.58 kg/m 2; The AUC of the FI of paraspinal muscle was 0.716 and the cut-off point was 15.69%; The AUC of rCSA of paraspinal muscle was 0.227 and the cut-off point was 1.92. For ASDis patients, the paraspinal muscle before the second operation had a higher degree of FI (25.47%±6.59% vs. 21.95%±5.89%, t=3.99, P=0.042) and a smaller rCSA (1.52±0.28 vs. 1.69±0.36, t=3.85, P=0.038) than that before the first operation. The difference between the FI degree of paraspinal muscle before the second operation and the first operation was negatively correlated with the occurrence time of ASDis ( r=-0.53, P=0.039) , and the difference of rCSA was positively correlated with the occurrence time of ASDis ( r=0.64, P=0.043) . Conclusion:When BMI >22.58 kg/m 2, FI of paraspinal muscle >15.69%, and rCSA of paraspinal muscle <1.92, it suggests that ASDis is more likely to occur after operation. And the more obvious paraspinal muscle atrophy after the first operation, the earlier ASDis may occur. Morphological changes of facet joints cannot be used as an index to predict the occurrence of ASDis.