Objective:To investigate the association between single nucleotide polymorphism (SNP) of the protein phosphatase 1 regulatory subunit 1B( PPP1R1B) gene and schizophrenia in the Han population of northern Henan province. Methods:Utilizing Psychiatric Genomics Consortium 3 (PGC3) data, the SNPs of PPP1R1B gene which were significantly associated with schizophrenia were screened.Subsequently, totally 1 721 schizophrenia patients and 6 726 healthy controls from the Han population in northern Henan province were recruited for further analysis. The SNP rs907094, located within the PPP1R1B gene was validated, and the clinical symptoms of 386 schizophrenia patients were evaluated using the positive and negative syndrome scale (PANSS). Additionally, expression quantitative trait loci (eQTL) association analysis was conducted to explore the relationship between the rs907094 polymorphism and PPP1R1B gene expression.The PLINK v1.9, Genetic Power Calculater, SPSS 20.0 softwares were used for data analysis. Results:Significant differences in genotype AA, AG, GG(schizophrenia group: AA, 489(28.4%); AG, 848(49.3%); GG, 384(22.3%); control group: AA, 1 450(21.6%); AG, 3 386(50.3%); GG, 1 890(28.1%), χ2=45.418, P<0.05) and allele frequency(schizophrenia group: A, 1 826(53.1%); G, 1 616(46.9%); control group: A, 6 286(46.7%); G, 7 166(53.3%), χ2=43.877, P<0.05) were observed for SNP rs907094 between the schizophrenia group and control group. Individuals carrying allele A were identified to have a higher risk of developing schizophrenia compared to those carrying allele G ( OR=1.288, 95% CI=1.195-1.388). Furthermore, the genotype PPP1R1B gene was found to be associated with the clinical features of schizophrenia. A statistically significant difference was observed in the excitement/hostility factor between AA and GG patients with rs907094 (13.62±5.65, 15.54±4.66)( P<0.05). Additionally, significant differences were noted in the cognitive factor scores between AA and GA genotypes (17.76±5.58, 19.43±5.73)( P<0.05). Conclusions:In the Han population from northern Henan province, the rs907094 polymorphism of the PPP1R1B gene is associated with schizophrenia.And the specific locus may be implicated in arousal/hostility symptoms and cognitive dysfunction.

[This corrects the article DOI: 10.1016/j.apsb.2019.01.013.].

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective:To compare the efficacy and safety of irradiation-incorporated and chemotherapy only-based myeloablative conditioning regimens in haploidentical hematopoietic stem cell transplantation (haplo-HSCT) for patients with high-risk myeloid malignancies.Methods:This study retrospectively collected clinical data from 63 high-risk acute myeloid leukemia/myelodysplastic syndrome (AML/MDS) patients who underwent haplo-HSCT at the Fifth Medical Center of the Chinese PLA General Hospital from January 2015 to December 2019. These patients were classified into the irradiation ( n = 17) and chemotherapy ( n = 46) groups based on different conditioning regimens. The differences between the two groups were compared in terms of hematopoietic reconstitution, cumulative incidence of acute/chronic graft-versus-host diseases (aGVHD and cGVHD), non-relapse mortality (NRM), relapse rate (RR), overall survival (OS), and disease-free survival (DFS), followed by the analysis of prognostic factors. Results:The median follow-up time for the irradiation and chemotherapy groups was 78.5 and 72.3 months, respectively. The median time for neutrophil engraftment was 14.0 days in the irradiation group and 14.5 d in the chemotherapy group, and for platelet engraftment was 15.0 and 13.0 d, respectively. As a result, the two groups showed no statistically significant differences in hematopoietic reconstitution ( P > 0.05). The cumulative incidence of aGVHD and cGVHD was higher in the irradiation group compared to the chemotherapy group, yet showing no statistically significant differences ( P > 0.05). Specifically, the cumulative incidence of grade Ⅱ-Ⅳ aGVHD within 100 d was 29.4% and 21.7% for the irradiation and chemotherapy groups, respectively. The cumulative incidence of grade Ⅲ-Ⅳ aGVHD was 23.5% and 13.0%, respectively. The cumulative incidence of severe cGVHD within five years was 11.8% in the irradiation group and 8.7% in the chemotherapy group. In terms of long-term survival, the cumulative 5\|year RR and NRM were 20.2% and 28.4% in the irradiation group, 5.9% and 23.9% in the chemotherapy group, respectively, showing no statistically significant differences ( P > 0.05). The 5-year DFS and OS rates were 73.9% and 47.7% in the irradiation group, and 81.1% and 54.4% in the chemotherapy group, respectively, without statistically significant differences ( P > 0.05). Notably, the irradiation group manifested more favorable DFS and OS survival curves compared to the chemotherapy group. The survival curves indicate that the irradiation-incorporated regimen exhibited better trends in OS, DFS, and cGVHD-free relapse-free survival (GRFS). However, multivariate analysis did not reveal that irradiation conditioning is an independent prognostic factor affecting survival [ HR = 0.532 (0.163-1.735), 0.370 (0.091-1.516), 0.683 (0.248-1.882), P > 0.05]. Conclusions:In haplo-HSCT for high-risk myeloid malignancies, the irradiation-incorporated conditioning regimen demonstrates lower RR and NRM, higher DFS and OS, and potentially superior survival outcomes compared to the chemotherapy only-based regimen. Therefore, the irradiation-incorporated conditioning regimen may be preferentially considered in haplo-HSCT.

[Objective]To establish a risk recognition model for coronary artery stenosis by using a machine learning method and to identify the key causative factors.[Methods]Patients aged≥18 years,diagnosed with coronary heart disease through coronary angiography from January 2013 to May 2020 in two prominent hospitals in Shanxi Province,were continuously enrolled.Logistic regression,back propagation neural network(BPNN),and random forest(RF)algorithms were used to construct models for detecting the causative factors of coronary artery stenosis.Sensitivity(TPR),specificity(TNR),accuracy(ACC),positive predictive value(PV+),negative predictive value(PV-),area under subject operating characteristic curve(AUC),and calibration curve were used to compare the discrimination and calibration performance of the models.The best model was then employed to predict the main risk variables associated with coronary stenosis.[Results]The RF model exhibited superior comprehensive performance compared to logistic regression and BPNN models.The TPR values for logistic regression,BPNN,and RF models were 75.76%,74.30%,and 93.70%,while ACC values were 74.05%,72.30%,and 79.49%,respectively.The AUC values were:logistic regression 0.739 9;BPNN 0.723 1;RF 0.752 2.Manifestations such as chest pains,abnormal ST segments on ECG,ventricular premature beats with hypertension,atrial fibrillation,regional wall motion abnormalities(RWMA)by color echocardiography,aortic regurgitation(AR),pulmonary insufficiency(PI),family history of cardiovascular diseases,and body mass index(BMI)were identified as top ten important variables affecting coronary stenosis according to the RF model.[Conclusions]Random forest model shows the best comprehensive performance in identification and accurate assessment of coronary artery stenosis.The prediction of risk factors affecting coronary artery stenosis can provide a scientific basis for clinical intervention and help to formulate further diagnosis and treatment strategies so as to delay the disease progression.

Objective:To investigate the association between single nucleotide polymorphism (SNP) of the protein phosphatase 1 regulatory subunit 1B( PPP1R1B) gene and schizophrenia in the Han population of northern Henan province. Methods:Utilizing Psychiatric Genomics Consortium 3 (PGC3) data, the SNPs of PPP1R1B gene which were significantly associated with schizophrenia were screened.Subsequently, totally 1 721 schizophrenia patients and 6 726 healthy controls from the Han population in northern Henan province were recruited for further analysis. The SNP rs907094, located within the PPP1R1B gene was validated, and the clinical symptoms of 386 schizophrenia patients were evaluated using the positive and negative syndrome scale (PANSS). Additionally, expression quantitative trait loci (eQTL) association analysis was conducted to explore the relationship between the rs907094 polymorphism and PPP1R1B gene expression.The PLINK v1.9, Genetic Power Calculater, SPSS 20.0 softwares were used for data analysis. Results:Significant differences in genotype AA, AG, GG(schizophrenia group: AA, 489(28.4%); AG, 848(49.3%); GG, 384(22.3%); control group: AA, 1 450(21.6%); AG, 3 386(50.3%); GG, 1 890(28.1%), χ2=45.418, P<0.05) and allele frequency(schizophrenia group: A, 1 826(53.1%); G, 1 616(46.9%); control group: A, 6 286(46.7%); G, 7 166(53.3%), χ2=43.877, P<0.05) were observed for SNP rs907094 between the schizophrenia group and control group. Individuals carrying allele A were identified to have a higher risk of developing schizophrenia compared to those carrying allele G ( OR=1.288, 95% CI=1.195-1.388). Furthermore, the genotype PPP1R1B gene was found to be associated with the clinical features of schizophrenia. A statistically significant difference was observed in the excitement/hostility factor between AA and GG patients with rs907094 (13.62±5.65, 15.54±4.66)( P<0.05). Additionally, significant differences were noted in the cognitive factor scores between AA and GA genotypes (17.76±5.58, 19.43±5.73)( P<0.05). Conclusions:In the Han population from northern Henan province, the rs907094 polymorphism of the PPP1R1B gene is associated with schizophrenia.And the specific locus may be implicated in arousal/hostility symptoms and cognitive dysfunction.

Objective To construct a LASSO-logistic regression model for the risk of complications of cardiopulmonary resuscitation(CPR)based on clinical data and relevant parameters of external chest compression and to provide a reference for the prevention of com-plications of cardiopulmonary resuscitation.Methods One hundred cardiac arrest survivor patients admitted to Shijiazhuang Circular Chemical Industrial Park Hospital from April 2020 to May 2023 were selected and divided into complication and non-complication groups according to complications.The clinical data,chest compression-related parameters of the 2 groups were compared,and LASSO regression was used to initially screen the influencing factors of CPR complications.Logistic regression was used to analyze the influencing factors of CPR complications,and Nomogram was drawn to predict the risk of CPR complications.Results LASSO regression screening showed that the coefficients of body mass index,thoracic anteroposterior diameter,rescuer education level,and rescuer gender were compressed.When λ was 1.786,the number of influencing factors was minimized,and the model performance was excellent.At this time,seven predic-tive variables including rescuer identity,rescuer CPR training,application of air mattress,application of decompression pad,compression depth,compression duration,and strict control of fluid volume were selected to achieve the best selection of influencing factors.Logistic regression analysis showed that rescuer being a nurse,rescuer having received CPR training,application of air mattress bed,application of decompression pad,and strict control of fluid volume were related protective factors for CPR complications,while compression depth and compression duration were related risk factors for CPR complications(P＜0.05).The nomogram diagram of the logistic prediction model for CPR complication risk showed that its C-index was 0.932,indicating good discrimination,and the calibration curve fitted well with the ideal curve.The constructed prediction model had good consistency with the actual observed results.Conclusion CPR complications included sternal fractures,lung contusions,and rib fractures.The risk closely relates to the rescuer,the rescuer's CPR training,the appli-cation of air mattress bed,the application of decompression pad,the depth of compression,the duration of compression,and the strict con-trol of fluid volume.

BACKGROUND: Lung cancer is currently the most prevalent malignancy and the leading cause of cancer deaths worldwide. Although the early stage non-small cell lung cancer (NSCLC) presents a relatively good prognosis, a considerable number of lung cancer cases are still detected and diagnosed at locally advanced or late stages. Surgical treatment combined with perioperative multimodality treatment is the mainstay of treatment for locally advanced NSCLC and has been shown to improve patient survival. Following the standard methods of neoadjuvant therapy, perioperative management, postoperative adjuvant therapy, and other therapeutic strategies are important for improving patients' prognosis and quality of life. However, controversies remain over the perioperative management of NSCLC and presently consensus and standardized guidelines are lacking for addressing critical clinical issues in multimodality treatment. METHODS: The working group consisted of 125 multidisciplinary experts from thoracic surgery, medical oncology, radiotherapy, epidemiology, and psychology. This guideline was developed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. The clinical questions were collected and selected based on preliminary open-ended questionnaires and subsequent discussions during the Guideline Working Group meetings. PubMed, Web of Science, Cochrane Library, Scopus, and China National Knowledge Infrastructure (CNKI) were searched for available evidence. The GRADE system was used to evaluate the quality of evidence and grade the strengths of recommendations. Finally, the recommendations were developed through a structured consensus-building process. RESULTS: The Guideline Development Group initially collected a total of 62 important clinical questions. After a series of consensus-building conferences, 24 clinical questions were identified and corresponding recommendations were ultimately developed, focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assement, and follow-up protocols for NSCLC. CONCLUSIONS This guideline puts forward reasonable recommendations focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assessment, and follow-up protocol of NSCLC. It standardizes perioperative multimodality treatment and provides guidance for clinical practice among thoracic surgeons, medical oncologists, and radiotherapists, aiming to reduce postoperative recurrence, improve patient survival, accelerate recovery, and minimize postoperative complications such as atelectasis.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; Lung Neoplasms/therapy* ; Combined Modality Therapy ; Perioperative Care

OBJECTIVE: To investigate the effectiveness of digital three-dimensional (3D) assisted unilateral biportal endoscopy (UBE) in the treatment of highly isolated lumbar disc herniation (LDH) with translaminar approach. METHODS: The clinical data of 59 patients who met the selection criteria and underwent UBE treatment due to highly isolated LDH between January 2022 and December 2023 were retrospectively analyzed. Among them, 25 cases were treated with digital 3D assisted translaminar approach (observation group) and 34 cases were treated with interlaminar approach (control group). There was no significant difference in gender, age, disease duration, surgical segment, and preoperative visual analogue scale (VAS) score and Oswestry disability index (ODI) between the two groups ( P>0.05). The operation time, intraoperative blood loss, and lateral articular surface preservation rate were recorded and compared between the two groups. VAS score and ODI were used to evaluate the improvements of pain and function before operation and at 3 and 6 months after operation. The modified MacNab criteria was used to evaluate the effectiveness at last follow-up. RESULTS: One patient in the control group had dural tear, and the other patients had no nerve injury, infection, dural tear, or other related complications. There was no significant difference in operation time and intraoperative blood loss between the two groups ( P>0.05). Patients in both groups were followed up 6-13 months, with an average of 8.3 months. The lateral articular surface preservation rate in the observation group was significantly higher than that in the control group ( P<0.05). Three patients in the observation group and 2 patients in the control group had calf muscle venous thrombosis, which was cured after anticoagulant treatment with rivaroxaban and delayed exercise time. There was no recurrence or second operation during the follow-up period. The VAS score and ODI of the two groups at 3 and 6 months after operation significantly improved when compared with those before operation ( P<0.05). There was no significant difference between the two groups at each time point after operation ( P>0.05). At last follow-up, the effectiveness was evaluated according to the modified MacNab criteria, and there was no significant difference in the evaluation grade and excellent and good rate between the two groups ( P>0.05). CONCLUTION UBE via translaminar approach is safe and effective for the treatment of highly isolated LDH, which is beneficial to protect the facet joint, maintain spinal stability, and reduce soft tissue injury. With the assistance of digital 3D technique, preoperative planning can be performed accurately.
Humans ; Intervertebral Disc Displacement/diagnostic imaging* ; Lumbar Vertebrae/diagnostic imaging* ; Male ; Retrospective Studies ; Female ; Endoscopy/methods* ; Treatment Outcome ; Middle Aged ; Adult ; Imaging, Three-Dimensional ; Operative Time ; Pain Measurement