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Objective:To develop a neural network model for the evaluation of glomerular filtration rate (GFR) based on multilayer perceptual neural network, and to compare with the improved Chinese based creatinine GFR evaluation formula (C-GFR cr) and the evaluation formula (EPI-GFR cr) of the American Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) for the clinical applicability of multilayer perceptual neural network model in evaluating GFR. Methods:A total of 684 chronic kidney disease (CKD) patients used for developing a modified version of China′s based creatinine GFR evaluation formula were taken as the research object. The data of 454 patients were randomly selected as the development group and the data of the other 230 patients were as the verification group. The multilayer perceptual neural network GFR evaluation model (M-GFR cr) was established. With the double plasma GFR as the reference value (rGFR), the correlation, mean difference, mean absolute difference, precision and accuracy of C-GFR cr, EPI-GFR cr and M-GFR cr were compared. Results:Among the 684 CKD patients, there were 352 males and 332 females, with age of (49.9±15.8) years. The correlation between M-GFR cr and rGFR was the highest (Pearson correlation =0.93, P<0.001). The mean difference of M-GFR cr was lower than that of C-GFR cr ( Z=9.929, P<0.001) and EPI-GFR cr ( Z=10.573, P<0.001). The mean absolute difference of M-GFR cr was also lower than that of C-GFR cr ( Z=3.953, P<0.001) and EPI-GFR cr ( Z=4.210, P<0.001). The accuracy of ±15% of M-GFR cr was higher than that of C-GFR cr ( χ2=26.068, P<0.001) and EPI-GFR cr ( χ2=23.154, P<0.001). The accuracy of ±30% of M-GFR cr was also higher than that of C-GFR cr ( χ2=8.264, P=0.001) and EPI-GFR cr ( χ2=11.963, P=0.001). The results of different stages of CKD showed that in the early stage of CKD (CKD 1-2), the mean difference of M-GFR cr was lower than that of C-GFR cr ( Z=7.401, P<0.001) and EPI-GFR cr ( Z=8.096, P<0.001); the mean absolute difference of M-GFR cr was also lower than that of C-GFR cr ( Z=4.723, P<0.001) and EPI-GFR cr ( Z=4.946, P<0.001); the accuracy of ±15% of M-GFR cr was higher than that of C-GFR cr ( χ2=23.547, P<0.001) and EPI-GFR cr ( χ2=26.421, P<0.001); the accuracy of ±30% of M-GFR cr was also higher than that of C-GFR cr ( χ2=12.089, P=0.001) and EPI-GFR cr ( χ2=16.168, P<0.001). But there was no significant difference in the applicability among C-GFR cr, EPI-GFR cr and M-GFR cr in the advanced stages of CKD (CKD 3-5). Conclusion:Compared with the improved Chinese based creatinine GFR evaluation formula C-GFR cr and CKD-EPI evaluation formula EPI-GFR cr, the accuracy of multilayer perceptual neural network model to evaluate GFR in CKD patients has been significantly improved, especially in CKD 1-2 stage.
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Objective:To explore the value of "conceive, design, implement, and operation" (CDIO) combined with cluster training mode in clinical teaching of cardiopulmonary resuscitation (CPR).Methods:A total of 108 interns of General Hospital of Southern Theater Command from January 2019 to November 2020 were included in the study, and they were randomly divided into control group ( n=54) and observation group ( n=54). The control group used the cluster training mode for CPR teaching, and the observation group used CDIO combined with the cluster training mode for CPR teaching. The theoretical performance, operation performance, comprehensive ability, chest compression quality and CPR time of the two groups of interns were compared, and the scores of post competency and satisfaction of the two groups of interns were evaluated. SPSS 22.0 was used for t test and chi-square test. Results:The scores of theory, operation and comprehensive ability in the observation group were higher than those in the control group. Compared with those before training, the compression depth, compression frequency and chest rebound rate of the observation group were higher than those of the control group. The observation group found that the patients' unconscious judgment of pulse free time, the time from the occurrence of ventricular fibrillation to the start of automated external defibrillator (AED), and the time to complete AED were lower than those in the control group. The five dimensions of practical ability, critical thinking ability, coordination ability, career development ability, psychological characteristics and the total score of post competency in the observation group were higher than those in the control group ( P < 0.05). The satisfaction of the observation group with the teaching teacher, practice content, practice form and practice effect was higher than that of the control group ( P<0.05). Conclusion:The application of CDIO combined with cluster training in clinical CPR teaching can improve the interns' theoretical performance, operational performance and comprehensive ability, improve the quality of external chest compression and CPR time, make the interns have good communication ability and post competency, and finally improve the interns' satisfaction.
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Objective:To determine the correlations of single nucleotide polymorphisms (SNPs) with atrial fibrillation (AF) in the Chinese Han population from the central plains.Methods:A total of 168 hospitalized patients,including 56 AF and 112 controls,were recruited in this case-control study.The clinical data were obtained from the medical records.All 5 SNPs,rs337711 in KCNN2,rs11264280 near KCNN3,rs17042171 near PITX2,rs6771157 and rs6795970 in SCN10A,were genotyped using amplification refractory mutation system-polymerase chain reaction or direct sequencing.The x2 test was used to compare categorical variables and preliminarily examine correlations between the genotype frequencies and AF.Subsequently,a logistic regression model was constructed to determine the associations between the SNPs and AF based on the above screened results.Odds ratios (ORs) and 95％ confidence interval (CI) were calculated to assess the strength of the correlations.Moreover,we downloaded the genotype data from the HapMap Project for linkage disequilibrium analysis ofrs17042171.Results:AF patients were likely to be of older age and longer left atrial diameter and had more coronary artery disease and higher hypertension compared with the control group (P＜0.05).Among the 5 SNPs,the frequency distribution of genotype AA for rs17042171 was significantly different between the AF and control groups (P＜0.05).After adjusting for several covariates,there was still a high risk ratio in patients with the AA genotype compared with the AC+CC genotype (OR:5.591,95％CI 2.176 to 14.365,P-B＜0.008).Similarly,stratification analysis on the AA genotype demonstrated significant differences between rs17042171 and persistent AF.However,there were not significant correlations between AF and the control groups for the other 4 SNPs (P＜0.05).Conclusion:Rs17042171,near PITX2 on chromosome 4q25,is associated with AF susceptibility in the Chinese Han population from the central plains,suggesting that this SNP can provide a new strategy for clinical diagnosis in AF patients.
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Aim To study the function of VR1 in chronic pain, to construct VR1 siRNA expression vectors and to study their silencing effect in the DRG neurons of rats were detected.Methods The hairpin sequences of siRNAs targeting VR1 gene of rat were designed, and two pairs of oligonucleotide sequence were synthesized. The annealed oligonucleotide fragments were cloned into linearized pRNAT-U6.2/Lenti expression vector and identified by PCR and DNA sequencing.Then, they were co-transfected by lipofectamine into 293T cells.The silencing effects of the lentivector-mediated VR1 siRNAs on the expression of VR1 mRNA were determined by RT-PCR after intrathecal injection in rats.Results DNA sequencing showed that the oligonucleotide fragments were correctly cloned into linearized pRNAT-U6.2/Lenti expression vector and the expression of VR1 mRNA in L4-L6 DRG neurons was inhibited significantly by pRNAT-U6.2/Lenti-siVR1 after intrathecal injection in rats.Conclusion The lentivector-mediated siRNAs are successfully constructed and they inhibit the expression of VR1 mRNA in the DRG neurons of rats, which may provide a potential tool for the further study and treatment of chronic pain.