OBJECTIVE To invest igate the therapeutic effects of music combined cognitive behavioral therapy on subjective tinnitus and the changes in spectral characteristics of resting electroencephalogram(EEG) before and after treatment under eyes closed condition. METHODS 8 patients with subjective tinnitus were enrolled as experimental group including 4 males and 4 females, with a mean age of 33.57±8.52 years from 18 to 40 years, 6.00±3.63 months of illness and right-handedness. Music combined cognitive behavioral therapy included a total of 6 sessions of treatment. The initial session of the treatment aimed to establish basic trust with the patient and understand the patient's personality, tinnitus symptoms, medical history, and other basic conditions. The light music which was specially processed by mactching the frequency and intensity to the patient's tinnitus were selected as combined audio of cognitive behavioral therapy. 7 minutes of closed-eye resting state EEG, THI scale, VAS scale, and SAS scale of the patients with subjective tinnitus were collected. The last 5 sessions was a tailored relaxation therapy including training and counseling patients to understand the treatment feedback after each meeting. After 3 months of the therapy, 7 minutes of EEG, THI, VAS and SAS scales of the 8 patients were asessed. The results of 7min-EEG, THI, VAS, and SAS scales were compared in patients with tinnitus before and after treatment. In addition, 8 patients with normal hearing and without tinnitus were enrolled as control group including 4 males and 4 females, with a mean age of 21.26±7.56 years from 20 to 45 years and right-handedness. The control group underwent 7 minutes of EEG examination. RESULTS The difference between the two groups before treatment was statistically significant(t =4.404, P <0.05). The full-band(0.5-44 Hz) energy of EEG before and after treatment in 8 patients with subjective tinnitus was statistically significant(t =3.705, P <0.05), and the average power of EEG after treatment in the experimental group and the control group was similar. The THI scale(t =3.664, P <0.05) and VAS scale(t =3.265, P <0.05) were compared before and after treatment and the difference was statistically significant. The difference of SAS scales between the two groups was not statistically significant(P >0.05). CONCLUSION Music combined with cognitive behavioral therapy has a significant effect on subjective tinnitusand the closed-eye resting state of brain power can show the recovery of subjective tinnitus of patients objectively which has significance for rehabilitation.

BACKGROUND:Based on different algorithms of machine learning,how to carry out clinical research on lumbar disc herniation with the help of various algorithmic models has become a trend and hot spot in the development of intelligent medicine at present. OBJECTIVE:To review the characteristics of different algorithmic models of machine learning in the diagnosis and treatment of lumbar disc herniation,and summarize the respective advantages and application strategies of algorithmic models for the same purpose. METHODS:The computer searched PubMed,Web of Science,EMBASE,CNKI,WanFang,VIP and China Biomedical(CBM)databases to extract the relevant articles on machine learning in the diagnosis and treatment of lumbar disc herniation.Finally,96 articles were included for analysis. RESULTS AND CONCLUSION:(1)Different algorithm models of machine learning provide intelligent and accurate application strategies for clinical diagnosis and treatment of lumbar disc herniation.(2)Traditional statistical methods and decision trees in supervised learning are simple and efficient in exploring risk factors and establishing diagnostic and prognostic models.Support vector machine is suitable for small data sets with high-dimensional features.As a nonlinear classifier,it can be applied to the recognition,segmentation and classification of normal or degenerative intervertebral discs,and to establish diagnostic and prognostic models.Ensemble learning can make up for the shortcomings of a single model.It has the ability to deal with high-dimensional data and improve the precision and accuracy of clinical prediction models.Artificial neural network improves the learning ability of the model,and can be applied to intervertebral disc recognition,classification and making clinical prediction models.On the basis of the above uses,deep learning can also optimize images and assist surgical operations.It is the most widely used model with the best performance in the diagnosis and treatment of lumbar disc herniation.The clustering algorithm in unsupervised learning is mainly used for disc segmentation and classification of different herniated segments.However,the clinical application of semi-supervised learning is relatively less.(3)At present,machine learning has certain clinical advantages in the identification and segmentation of lumbar intervertebral discs,classification and grading of the degenerative intervertebral discs,automatic clinical diagnosis and classification,construction of the clinical predictive model and auxiliary operation.(4)In recent years,the research strategy of machine learning has changed to the neural network and deep learning,and the deep learning algorithm with stronger learning ability will be the key to realizing intelligent medical treatment in the future.

Objective    To analyze the effect of type 2 diabetes (T2DM) on the short-term prognosis of patients with non-small cell lung cancer (NSCLC) after resection surgery. Methods    Clinical data of 207 NSCLC patients who underwent resection surgery in our hospital from January 2016 to January 2019 were retrospectively analyzed. The 100 NSCLC patients with T2DM were allocated to a T2DM group (58 males and 42 females, with an average age of 65.26±7.26 years), and 107 patients without T2DM were allocated to a non-T2DM group (66 males and 41 females, with an average age of 64.21±7.51 years). The short-term prognosis of the patients was compared between the two groups. Results    Compared with the non-T2DM group, the postoperative atelectasis (P=0.012) and pulmonary infection (P=0.040) were statistically different in the T2DM group. The postoperative complication rate in the T2DM group was significantly higher than that in the non-T2DM group (66.0% vs. 33.6%, P<0.001). The postoperative hospitalization time in the T2DM group was longer than that in the non-T2DM group (9.83±6.35 d vs. 8.09±4.40 d, P=0.007). Conclusion    T2DM will increase the incidence of postoperative complications, prolong the length of hospital stay and increase the economic burden of the NSCLC patients, which is not conducive to the postoperative prognosis of patients.

Objective    To provide clinical reference for the perioperative management of esophageal cancer patients with different stages of chronic obstructive pulmonary disease (COPD) through investigating the impact of COPD on postoperative complications and survival in esophageal cancer patients undergoing oesophagectomy. Methods    The clinical data of 163 patients who underwent radical resection of esophageal cancer in our department from January 2015 to January 2018 were retrospectively analyzed, including 124 males and 39 females, with a median age of 64 years (IQR: 23.8 years). They were divided into a COPD group (n=87) and a non-COPD group (n=76) according to the presence of COPD before operation. The clinical data were collected and the postoperative complications and 2-year survival between the two groups were compared and analyzed. Results    The incidence of major postoperative complications (pulmonary infection, respiratory failure, arrhythmia and anastomotic leakage) in the COPD group were higher than those in the non-COPD group (all P<0.05). Spearman correlation analysis showed that the severity of preoperative COPD was positively correlated with the incidence of postoperative complications in patients with esophageal cancer (r=0.437, P<0.001). The incidence of postoperative respiratory failure and mortality in patients with severe COPD were significantly higher than those in patients without COPD and those with mild or moderate COPD. The 2-year survival rate of patients with esophageal cancer in the COPD group was lower than that in the non-COPD group (56.1%vs. 78.5.%, P=0.001), and the severity of COPD was negatively correlated to the survival rate. Conclusion    COPD significantly increases the incidence of postoperative complications in patients with esophageal cancer, which is not conducive to the prognosis of patients, and the severity of COPD is correlated with postoperative complications and 2-year survival rate.