Objective To explore the difference of intervention effect between high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) on patients with metabolic syndrome (MetS). Methods China National Knowledge Infrastructure, WanFang Data, PubMed, Web of Science and EBSCO were searched for randomized controlled trials (RCTs) till May 2022. Two reviewers independently reviewed the literature, extracted data, and assessed the risk of bias of included RCTs. Comprehensive Meta-Analysis software was used for meta-analysis. Result A total of 5 RCTs were included, including 216 patients. The results of meta-analysis showed that: except fasting blood glucose, high-density lipoprotein cholesterol, systolic blood pressure, waist circumference, body mass index and body fat percentage (P>0.005), low-density lipoprotein cholesterol [mean difference (MD)=−7.487 mg/dL, 95% confidence interval (CI) (−12.543, −2.431) mg/dL, P=0.004], total cholesterol [MD=−11.487 mg/dL, 95%CI (−16.523, −6.452) mg/dL, P<0.001], triglycerides [MD=−26.296 mg/dL, 95%CI (−50.557, −2.035) mg/dL, P=0.034] and diastolic blood pressure [MD=−2.770 mm Hg (1 mm Hg=0.133 kPa), 95%CI (−5.131, −0.409) mm Hg, P=0.021] of HIIT were better than MICT. Conclusion In terms of blood glucose indicators and morphological indicators, the effect of HIIT group and MICT group was similar, but the effect of HIIT on blood lipid indicators and blood pressure indicators of patients with MetS was better than MICT.
Objective To establish the reference intervals for platelet-related parameters among the elderly population in Longquanyi District, Chengdu. Methods From November 1st to December 31st 2021, elderly individuals aged between 60 and 80 years were selected from the Longquanyi branch of a natural population cohort study initiated by West China Hospital of Sichuan University in 2021. Complete blood cell analysis was performed to obtain the platelet-related parameters. IBM SPSS Statistics 25 software was used to analyze the data and establish the reference intervals for platelet-related parameters among the elderly population in Longquanyi District. Results A total of 1938 reference individuals were selected by inclusion and exclusion criteria, and finally 1669 reference individuals, including 665 males and 1004 females, were included to establish the reference intervals after excluding outliers. The reference range of blood platelet count was (95.03-301.32)×109/L for elderly men and (112.13-320.75)×109/L for elderly women, respectively. The reference range of mean platelet volume was 8.97-13.80 fL for elderly men and 9.10-13.90 fL for elderly women, respectively. The reference range of plateletcrit was 0.13%-0.30% for elderly men and 0.14%-0.32% for elderly women, respectively. The reference range of platelet distribution width was 15.80-16.90 for elderly men and 15.70-16.90 for elderly women, respectively. Conclusion It is of practical significance to establish platelet-related parameters in the elderly in local region.
It is a significant challenge to improve the blood-brain barrier (BBB) permeability of central nervous system (CNS) drugs in their development. Compared with traditional pharmacokinetic property tests, machine learning techniques have been proven to effectively and cost-effectively predict the BBB permeability of CNS drugs. In this study, we introduce a high-performance BBB permeability prediction model named balanced-stacking-learning based BBB permeability predictor(BSL-B3PP). Firstly, we screen out the feature set that has a strong influence on BBB permeability from the perspective of medicinal chemistry background and machine learning respectively, and summarize the BBB positive(BBB+) quantification intervals. Then, a combination of resampling algorithms and stacking learning(SL) algorithm is used for predicting the BBB permeability of CNS drugs. The BSL-B3PP model is constructed based on a large-scale BBB database (B3DB). Experimental validation shows an area under curve (AUC) of 97.8% and a Matthews correlation coefficient (MCC) of 85.5%. This model demonstrates promising BBB permeability prediction capability, particularly for drugs that cannot penetrate the BBB, which helps reduce CNS drug development costs and accelerate the CNS drug development process.
In this paper, we introduce meaning and purpose of confidence interval (CI) in evidence-based medicine, For example, RRR ,ARR ,NNT. It s referance for user and doer of EBM in China.
Sleep apnea (SA) detection method based on traditional machine learning needs a lot of efforts in feature engineering and classifier design. We constructed a one-dimensional convolutional neural network (CNN) model, which consists in four convolution layers, four pooling layers, two full connection layers and one classification layer. The automatic feature extraction and classification were realized by the structure of the proposed CNN model. The model was verified by the whole night single-channel sleep electrocardiogram (ECG) signals of 70 subjects from the Apnea-ECG dataset. Our results showed that the accuracy of per-segment SA detection was ranged from 80.1% to 88.0%, using the input signals of single-channel ECG signal, RR interval (RRI) sequence, R peak sequence and RRI sequence + R peak sequence respectively. These results indicated that the proposed CNN model was effective and can automatically extract and classify features from the original single-channel ECG signal or its derived signal RRI and R peak sequence. When the input signals were RRI sequence + R peak sequence, the CNN model achieved the best performance. The accuracy, sensitivity and specificity of per-segment SA detection were 88.0%, 85.1% and 89.9%, respectively. And the accuracy of per-recording SA diagnosis was 100%. These findings indicated that the proposed method can effectively improve the accuracy and robustness of SA detection and outperform the methods reported in recent years. The proposed CNN model can be applied to portable screening diagnosis equipment for SA with remote server.
ObjectiveTo evaluate the effectiveness of modified recapping laminoplasty preserving the continuity of supraspinous ligament in the treatment of intraspinal benign tumors in upper cervical vertebrae and its influence on the stability of the cervical vertebrae. MethodsThe clinical data of 13 patients with intraspinal benign tumors in upper cervical vertebrae treated between January 2012 and January 2021 were retrospectively analyzed. There were 5 males and 8 females, the age ranged from 21 to 78 years, with an average of 47.3 years. The disease duration ranged from 6 to 53 months, with an average of 32.5 months. The tumors located between C1 and C2. Postoperative pathology showed 6 cases of schwannoma, 3 cases of meningioma, 1 case of gangliocytoma, 2 cases of neurofibroma, and 1 case of hemangioblastoma. During operation the continuity of the supraspinal ligament were retained, the lamina ligament complex was lifted to expose the spinal canal via the approach of the outer edge of the bilateral lamina, and the lamina was fixed after the resection of the intraspinal tumors. Before and after operation, the atlantodental interval (ADI) was measured on three-dimensional CT; the effectiveness was evaluated by Japanese Orthopaedic Association (JOA) score, the neck dysfunction index (NDI) was used to evaluate the cervical function, and the total rotation of the cervical spine was recorded. Results The operation time was 117-226 minutes (mean, 127.3 minutes); the intraoperative blood loss was 190-890 mL (mean, 227.8 mL). The tumors were completely removed in all patients. There was no vertebral artery injury, aggravation of neurological dysfunction, epidural hematoma, infection, or other related complications. Two patients occurred cerebrospinal fluid leakage after operation, which were healed through electrolyte supplement and local pressure treatment of incision. All the patients were followed up 14-37 months, with an average of 16.9 months. Imaging examination showed no recurrence of tumor, displacement of vertebral lamina, loosening and displacement of internal fixator, and secondary reduction of vertebral canal volume. At last follow-up, JOA score significantly improved when compared with preoperative scores (P<0.05). Among them, 8 cases were excellent, 3 cases were good, and 2 cases were medium, with an excellent and good rate was 84.6%. There was no significant difference in ADI, total rotation of the cervical spine, and NDI between pre- and post-operation (P>0.05). ConclusionThe treatment of intraspinal benign tumors in upper cervical vertebrae with modified recapping laminoplasty preserving the continuity of the supraspinous ligament can restore the normal anatomical structure of the spinal canal and maintain the stability of the cervical spine.
Predicting the termination of paroxysmal atrial fibrillation (AF) may provide a signal to decide whether there is a need to intervene the AF timely. We proposed a novel RdR RR intervals scatter plot in our study. The abscissa of the RdR scatter plot was set to RR intervals and the ordinate was set as the difference between successive RR intervals. The RdR scatter plot includes information of RR intervals and difference between successive RR intervals, which captures more heart rate variability (HRV) information. By RdR scatter plot analysis of one minute RR intervals for 50 segments with non-terminating AF and immediately terminating AF, it was found that the points in RdR scatter plot of non-terminating AF were more decentralized than the ones of immediately terminating AF. By dividing the RdR scatter plot into uniform grids and counting the number of non-empty grids, non-terminating AF and immediately terminating AF segments were differentiated. By utilizing 49 RR intervals, for 20 segments of learning set, 17 segments were correctly detected, and for 30 segments of test set, 20 segments were detected. While utilizing 66 RR intervals, for 18 segments of learning set, 16 segments were correctly detected, and for 28 segments of test set, 20 segments were detected. The results demonstrated that during the last one minute before the termination of paroxysmal AF, the variance of the RR intervals and the difference of the neighboring two RR intervals became smaller. The termination of paroxysmal AF could be successfully predicted by utilizing the RdR scatter plot, while the predicting accuracy should be further improved.
To show that a new drug is better than, as good as, or no worse than that of a known effective drug. Theoretically, it is necessary to confirm the efficacy of a treatment, but the current practice of clinical trial suggests that there exists many problems in its confirmation including the objectives of clinical investigation vary based on the fact that more and more clinical trials use active controls. Applied statistical methods have to adapt to these changes. In this paper, we illustrated some statistical issues of confirming efficacy in clinical trials, including its conditions, the determination of clinical margin, the forms of the null and alternative hypothesis and confidence intervals, the choice of endpoints and some miscellaneous considerations. We bly suggests that it is necessary to make biostatisticians and clinical trialists understand the importance of using the right statistical methods when investigating clinical trials. We also think these methods introduced in the paper may provide some help in trial design and evaluation.
With the prevalence of cardiovascular diseases, the development of cardiac rehabilitation is an inevitable trend. Cardiac rehabilitation is a comprehensive and long-term plan including medical assessment, exercise prescription, correction of cardiovascular risk factors, education, counseling, and behavioral intervention. Evidence-based medical evidence confirms that cardiac rehabilitation plays an important role in the three level prevention of cardiovascular disease. In this paper, we searched the literature in recent 10 years to explain the current situation and future research direction of cardiac rehabilitation, and explore the best mode of cardiac rehabilitation.
ObjectiveTo analyze the short- and mid-term outcomes of patients undergoing reconstruction of intervalvular fibrous body (IVFB) via double valve replacement (Commando procedure) or aortic valve replacement and mitral valve repair (Hemi-Commando procedure). MethodsThe patients who underwent Commando or Hemi-Commando procedure between September 2014 and September 2022 in Guangdong Provincial People’s Hospital were collected. The perioperative and follow-up data were reviewed and analyzed for the assessment of short- and mid-term outcomes. Results Eleven patients received Commando procedure (a Commando group), including 4 males and 7 females with a median age of 61 (33, 68) years; 7 patients received Hemi-Commando procedure (a Hemi-Commando group), including 5 males and 2 females with a median age of 50 (36, 58) years. Two patients died in the postoperative 30 days (1 patient in the Commando group and 2 patients in the Hemi-commando group). Low cardiac output syndrome complicated with multiple organ dysfunction syndrome was the main cause of death. Fifteen patients were discharged and followed up for 13 (6, 42) months, with a survival rate of 100%. The rates of free from recurrent endocarditis or re-operation were both 100%. ConclusionCommando and Hemi-Commando procedures are effective strategies for IVFB reconstruction, and can achieve excellent mid-term outcomes if patients survive from the frailest period of early postoperative stage.