Objective To explore the clinical effect of quality control circle(QCC)activities on the prevention of postoperative deep vein thrombosis(DVT)in inpatients in military hospitals.Methods A total of 318 patients who were diagnosed and treated in The First Affiliated Hospital of Air Force Medical University from January to December 2021 and 40 medical staff were enrolled in this study.Routine care was performed in 158 patients from January to June 2021,and QCC care was implemented in 160 patients from July to December 2021.The awareness of DVT prevention in medical staff and patients(or their famiy members)before and after QCC activities,lower limb DVT preventive measures taken by medical staff,and the occurrence of DVT were compared.Results The scores of the cause,clinical manifestations,nursing measures and preventive measures of DVT after QCC activities were significantly higher than those before QCC activities in both medical staff and patients(or their families)(P<0.05).The overall implementation rate of preventing lower limb DVT after QCC activities was significantly higher than that before QCC activities(94.14%vs.46.20%,P<0.05).The incidence of DVT after QCC activities was significantly lower than that before QCC activities(0.62%vs.5.06%,P<0.05).Conclusion Implementing QCC activities can improve the cognitive ability of military medical staff and patients(or family members)in DVT prevention,increase the implementation rate of DVT prevention measures,and reduce the incidence of DVT.

A qualitative identification method for Salmonella using high-performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)with multiple reaction monitoring(MRM)mode was established.Eight characteristic peptides were selected,and their MRM parameters were optimized.Furthermore,the performance of this HPLC-MS/MS method in species identification was further evaluated.Experimental results demonstrated that this method exhibited high specificity,enabling accurate differentiation of Salmonella from conventional food-borne pathogens.In a milk matrix,the 50%limit of detection(LOD50)was determined to be 0.35 CFU/25 g.This method was successfully applied to qualitatively identify Salmonellain five artificially contaminated food samples.The method presented here,in contrast to traditional biochemical assays,offered both speed and specificity,providing a novel means for the rapid and accurate identification of Salmonella in food.It held significant implications for the surveillance,prevention,and control of food-borne diseases.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

Aging poses a major risk factor for cardiovascular diseases, the leading cause of death in the aged population. However, the cell type-specific changes underlying cardiac aging are far from being clear. Here, we performed single-nucleus RNA-sequencing analysis of left ventricles from young and aged cynomolgus monkeys to define cell composition changes and transcriptomic alterations across different cell types associated with age. We found that aged cardiomyocytes underwent a dramatic loss in cell numbers and profound fluctuations in transcriptional profiles. Via transcription regulatory network analysis, we identified FOXP1, a core transcription factor in organ development, as a key downregulated factor in aged cardiomyocytes, concomitant with the dysregulation of FOXP1 target genes associated with heart function and cardiac diseases. Consistently, the deficiency of FOXP1 led to hypertrophic and senescent phenotypes in human embryonic stem cell-derived cardiomyocytes. Altogether, our findings depict the cellular and molecular landscape of ventricular aging at the single-cell resolution, and identify drivers for primate cardiac aging and potential targets for intervention against cardiac aging and associated diseases.
Aged ; Animals ; Humans ; Aging/genetics* ; Forkhead Transcription Factors/metabolism* ; Myocytes, Cardiac/metabolism* ; Primates/metabolism* ; Repressor Proteins/metabolism* ; Transcriptome ; Macaca fascicularis/metabolism*

OBJECTIVE: To observe the clinical efficacy of intercondylar fossa plasty in preventing intercondylar fossa impingement syndrome after high tibial osteotomy. METHODS: From August 2018 to August 2020, 84 patients with inverted knee osteoarthritis were treated by arthroscopy combined with high tibial osteotomy, and were divided into two groups with 42 cases in each group according to different surgical methods. In the intercondylar fossa plasty group, there were 13 males and 29 females, age ranged from 52 to 67 years old with an average of(58.27±4.32) years old, and arthroscopic intercondylar fossa plasty was performed first, and then high tibial osteotomy. In the arthroscopic cleansing group, 16 males and 26 females, age ranged from 50 to 71 years old with an average of (59.02±5.14) years old, underwent arthroscopic cleansing and then high tibial osteotomy. Postoperative treatment was evaluated using visual analogue scale(VAS), hospital for special surgery (HSS) score for the knee, and the occurrence of intercondylar percussa impingement. RESULTS: All 84 patients were followed up, the duration ranged from 12 to 18 months with an average of (14.1±1.6) months. The VAS and HSS score of knee joint at 6, 12 and 18 months after surgery were significantly improved compared with preoperative period, and there was no significant difference between the two groups (P>0.05), but the incidence of intercondylar fossa index and intercondylar fossa impact between the two groups was significantly compared 18 months after surgery (P<0.05). CONCLUSION Intercondylar fossa plasty can effectively prevent the incidence of intercondylar fossa impact after high tibial osteotomy, and has a more significant effect on postoperative knee pain and function improvement.
Male ; Female ; Humans ; Middle Aged ; Aged ; Tibia/surgery* ; Osteoarthritis, Knee/surgery* ; Knee Joint/surgery* ; Treatment Outcome ; Osteotomy/methods* ; Pain, Postoperative ; Retrospective Studies

Gallic Acid/pharmacology* ; Humans ; Senotherapeutics ; Stem Cells

Golgi protein 73 (GP73) is a transmembrane protein on the Golgi apparatus and can be cut and released into the blood. In recent years, an increasing number of clinical studies have shown that the elevated serum GP73 level is closely related to liver diseases. And thus GP73 is expected to be used as a new serum marker for assessing progress of chronic liver diseases. Herein, the clinical application of serum GP73 in chronic hepatitis, liver fibrosis, liver cirrhosis and hepatocellular carcinoma with different etiologies was reviewed based on available literatures; and a research outlook in this field is made.
Biomarkers ; Carcinoma, Hepatocellular ; Golgi Apparatus ; Humans ; Liver Cirrhosis ; Liver Neoplasms

Aging/metabolism* ; Animals ; Gene Expression Regulation ; Macaca fascicularis ; Retina/metabolism* ; Single-Cell Analysis

Purpose: This study aimed to investigate the prevalence, risk factors, and effects of primary nocturnal enuresis (PNE) on physical and mental health in young adults in mainland China. Methods: An anonymous questionnaire was used to collect information including the sociodemographic characteristics, history of PNE, family history, daytime voiding symptoms, Pittsburgh Sleep Quality Index (PSQI) scores, Self-Esteem Scale (SES), and Self-Rating Depression Scale (SDS). A total of 22,500 university students from 23 provinces and 368 cities in mainland China were included. Results: In total, 21,082 questionnaires were collected, and 20,345 of them qualified for statistical analysis. The PNE prevalence was 1.17%, and the distribution of monosymptomatic nocturnal enuresis (MNE) and nonmonosymptomatic nocturnal enuresis (NMNE) was 66.1% and 33.9%, respectively. In total, 28% of respondents with PNE reported bedwetting daily, 31.6% between 1 and 7 times weekly, and 40.4% between 1 and 4 times monthly; 80% of PNE cases had no history of treatment. The prevalence of PNE in patients with a family history, frequency, urgency, urinary incontinence, and recurrent urinary tract infections was significantly higher than in those without these conditions (P<0.001). PNE was significantly correlated with the PSQI total score (sleep quality) (P=0.011). The SES score was lower and the SDS was higher (P<0.001) in the PNE group than in those without PNE. Conclusions In mainland China, the PNE prevalence among young adults was found to be high, and PNE had significant effects on physical and mental health. Risk factors included a family history, daytime voiding symptoms, and lack of treatment.

BACKGROUND: Colorectal cancer is harmful to the patient's life. The treatment of patients is determined by accurate preoperative staging. Magnetic resonance imaging (MRI) played an important role in the preoperative examination of patients with rectal cancer, and artificial intelligence (AI) in the learning of images made significant achievements in recent years. Introducing AI into MRI recognition, a stable platform for image recognition and judgment can be established in a short period. This study aimed to establish an automatic diagnostic platform for predicting preoperative T staging of rectal cancer through a deep neural network. METHODS: A total of 183 rectal cancer patients' data were collected retrospectively as research objects. Faster region-based convolutional neural networks (Faster R-CNN) were used to build the platform. And the platform was evaluated according to the receiver operating characteristic (ROC) curve. RESULTS: An automatic diagnosis platform for T staging of rectal cancer was established through the study of MRI. The areas under the ROC curve (AUC) were 0.99 in the horizontal plane, 0.97 in the sagittal plane, and 0.98 in the coronal plane. In the horizontal plane, the AUC of T1 stage was 1, AUC of T2 stage was 1, AUC of T3 stage was 1, AUC of T4 stage was 1. In the coronal plane, AUC of T1 stage was 0.96, AUC of T2 stage was 0.97, AUC of T3 stage was 0.97, AUC of T4 stage was 0.97. In the sagittal plane, AUC of T1 stage was 0.95, AUC of T2 stage was 0.99, AUC of T3 stage was 0.96, and AUC of T4 stage was 1.00. CONCLUSION: Faster R-CNN AI might be an effective and objective method to build the platform for predicting rectal cancer T-staging. TRIAL REGISTRATION chictr.org.cn: ChiCTR1900023575; http://www.chictr.org.cn/showproj.aspx?proj=39665.
Artificial Intelligence ; Humans ; Magnetic Resonance Imaging ; Neoplasm Staging ; Neural Networks, Computer ; Rectal Neoplasms/pathology* ; Retrospective Studies