Effects of Infrared Combined with Methylcobalamin on the Vibratory Sensory Threshold and Nerve Conduction Velocity of the Lower Extremity in Patients with Diabetic Foot Treatment.

Objective: To investigate the effect of infrared combined with methylcobalamin on the vibratory sensory threshold and lower limb nerve conduction velocity of patients with diabetic foot. Methods: One hundred and six patients with diabetic foot in our hospital from February 2018 to December 2020 were enrolled and divided into the study and control groups. The patients in the control group were given methylcobalamin, and the patients in the research group were treated with infrared light on the basis of the control group. The therapeutic effect, vibration sensory threshold, lower limb nerve conduction velocity, and related biochemical index levels before and after treatment in the two groups were counted. Result: The total effective rate of the study group (94.34%) was significantly higher than that of the control group (81.13%). The left/right lower limb vibration sensation threshold decreased in both groups after treatment, and the study group was lower than that of the control group (P < 0.05). The conduction velocity of the left/right common peroneal nerve and tibial nerve increased in both groups after treatment, and the study group was larger than that of the control group (P < 0.05). The bFGF, VEGF, and APN increased in both groups after treatment. VEGF and APN increased and IL-6 and TNF-α decreased in both groups after treatment, and the study group was better than the control group (P < 0.05). Conclusion: Infrared and methylcobalamin combined treatment of diabetic foot can effectively improve lower extremity nerve conduction velocity and vibration sensory threshold, regulate serum bFGF and VEGF levels, reduce the degree of inflammatory response, and help improve the overall treatment effect.

Identification of seven-gene marker to predict the survival of patients with lung adenocarcinoma using integrated multi-omics data analysis.

BACKGROUND: The mechanism of cancer occurrence and development could be understood with multi-omics data analysis. Discovering genetic markers is highly necessary for predicting clinical outcome of lung adenocarcinoma (LUAD). METHODS: Clinical follow-up information, copy number variation (CNV) data, single nucleotide polymorphism (SNP), and RNA-Seq were acquired from The Cancer Genome Atlas (TCGA). To obtain robust biomarkers, prognostic-related genes, genes with SNP variation, and copy number differential genes in the training set were selected and further subjected to feature selection using random forests. Finally, a gene-based prediction model for LUAD was validated in validation datasets. RESULTS: The study filtered 2071 prognostic-related genes and 230 genomic variants, 1878 copy deletions, and 438 significant mutations. 218 candidate genes were screened through integrating genomic variation genes and prognosis-related genes. 7 characteristic genes (RHOV, CSMD3, FBN2, MAGEL2, SMIM4, BCKDHB, and GANC) were identified by random forest feature selection, and many genes were found to be tumor progression-related. A 7-gene signature constructed by Cox regression analysis was an independent prognostic factor for LUAD patients, and at the same time a risk factor in the test set, external validation set, and training set. Noticeably, the 5-year AUC of survival in the validation set and training set was all ˃ 0.67. Similar results were obtained from multi-omics validation datasets. CONCLUSIONS: The study builds a novel 7-gene signature as a prognostic marker for the survival prediction of patients with LUAD. The current findings provided a set of new prognostic and diagnostic biomarkers and therapeutic targets.

The effects of mindfulness-based stress reduction therapy combined with intensive education on the effectiveness of the care and the awareness rate in patients with arthritis and diabetes.

OBJECTIVE: To explore the effect of mindfulness-based stress reduction (MBSR) therapy combined with intensive education on the effectiveness of the care and the awareness rate in patients with diabetes and arthritis. METHODS: A total of 94 patients with diabetes and arthritis admitted to our hospital were recruited as the study cohort and randomly divided into two groups, with 47 patients in each group. Both groups underwent routine nursing interventions. The control group underwent an eight-week-long intensive education program, while the observation group was additionally cared for with MBSR for 8 weeks. The two groups were assessed using the Symptom Checklist 90 (SCL-90), the Hamilton Anxiety Scale (HAMA-14), the Hamilton Depression Scale (HAMD-17), the Simple Coping Style Questionnaire (SCSQ), the diabetes specificity quality of life scale (DSQL), and their cortisol levels and awareness/satisfaction rates. RESULTS: The SCL-90 scores were lower in both groups after 8 weeks of nursing (P < 0.05), and the scores in the observation group were lower than the scores in the control group (P < 0.05). The observation group exhibited lower HAMA-14, HAMD-17, and negative coping scores (P < 0.05) and higher positive coping scores than the control group (P < 0.05). The DSQL scores and the cortisol levels in the observation group at 2, 4, 6, and 8 weeks after the nursing were lower than they were in the control group (P < 0.05). The satisfaction rate with the nursing methods, the nursing effectiveness, and the awareness rate with regard to regular review, knowledge of pathogenesis, and clinical manifestations in the observation group were higher than they were in the control group (P < 0.05). CONCLUSION: MBSR therapy combined with intensive education can improve patients' symptoms, reduce their anxiety/depression, improve their coping levels, quality of life, and cortisol levels as well as their satisfaction/awareness rates in diabetic patients with arthritis.