Background The optimal choice of treatment, with hemodialysis (HD) or peritoneal dialysis (PD), for end-stage renal disease (ESRD) patients, is still controversial. Only a few studies comparing HD and PD have been conducted in China, which has the largest number of dialysis patients in the world. Methods A retrospective cohort study was conducted on ESRD patients who began renal replacement treatment from January 1, 2012 to December 31, 2017 in Guangdong Provincial Hospital of Chinese Medicine. Propensity scoring match was applied to balance the baseline conditions and multivariate Cox regression analysis to compare the mortality between HD and PD patients, and evaluated the correlation between mortality and various baseline characteristics. Results A total of 436 HD patients and 501 PD patients were included in this study, and PD patients had better survival than HD patients, but the difference was not statistically significant. For younger ESRD patients (≤60-year-old), the overall survival of PD was better than that of HD, but HD was associated with a lower risk of death in older patients (> 70-year-old). This difference was still significant after adjustment for a variety of confounding factors. Female gender, age at dialysis initiation, cardiovascular disease, cholesterol, and HD were risk factors of all-cause mortality in the younger subgroup, while PD was risk factor in the older subgroup. Conclusion PD may be a better choice for younger ESRD patients, and HD for the older patients.
Chinese herbal medicine (CHM) might have benefits in patients with non-diabetic chronic kidney disease (CKD), but there is a lack of high-quality evidence, especially in CKD4. This study aimed to assess the efficacy and safety of Bupi Yishen Formula (BYF) vs. losartan in patients with non-diabetic CKD4. This trial was a multicenter, double-blind, double-dummy, randomized controlled trial that was carried out from 11-08-2011 to 07-20-2015. Patients were assigned (1:1) to receive either BYF or losartan for 48 weeks. The primary outcome was the change in the slope of the estimated glomerular filtration rate (eGFR) over 48 weeks. The secondary outcomes were the composite of end-stage kidney disease, death, doubling of serum creatinine, stroke, and cardiovascular events. A total of 567 patients were randomized to BYF (n = 283) or losartan (n = 284); of these, 549 (97%) patients were included in the final analysis. The BYF group had a slower renal function decline particularly prior to 12 weeks over the 48-week duration (between-group mean difference of eGFR slopes: −2.25 ml/min/1.73 m2/year, 95% confidence interval [CI]: −4.03,−0.47), and a lower risk of composite outcome of death from any cause, doubling of serum creatinine level, end-stage kidney disease (ESKD), stroke, or cardiovascular events (adjusted hazard ratio = 0.61, 95%CI: 0.44,0.85). No significant between-group differences were observed in the incidence of adverse events. We conclude that BYF might have renoprotective effects among non-diabetic patients with CKD4 in the first 12 weeks and over 48 weeks, but longer follow-up is required to evaluate the long-term effects.Clinical Trial Registration:http://www.chictr.org.cn, identifier ChiCTR-TRC-10001518.
BackgroundChronic kidney disease (CKD) is a global public health problem. Currently, as for advanced CKD populations, medication options limited in angiotensin-converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARB), which were partially effective. A Chinese herbal compound, Bupi Yishen formula, has showed renal protective potential in experiments and retrospective studies. This study will evaluate the efficacy and safety of Bupi Yishen formula (BYF) in patients with CKD stage 4.DesignIn this double blind, double dummy, randomized controlled trial (RCT), there will be 554 non-diabetes stage 4 CKD patients from 16 hospitals included and randomized into two groups: Chinese medicine (CM) group or losartan group. All patients will receive basic conventional therapy. Patients in CM group will be treated with BYF daily while patients in control group will receive losartan 100 mg daily for one year. The primary outcome is the change in estimated glomerular filtration rate (eGFR) over 12 months. Secondary outcomes include the incidence of endpoint events, liver and kidney function, urinary protein creatinine ratio, cardiovascular function and quality of life.DiscussionThis study will be the first multi-center, double blind RCT to assess whether BYF, compared with losartan, will have beneficial effects on eGFR for non-diabetes stage 4 CKD patients. The results will help to provide evidence-based recommendations for clinicians.Trial registrationChinese Clinical Trial Registry Number: ChiCTR-TRC-10001518.
BackgroundPatients on maintenance hemodialysis (MHD) frequently complain of insomnia. Poor sleep quality impairs their quality of life and adversely affects long-term outcome. Previously we applied auricular acupressure therapy (AAT) for MHD patients with insomnia and yielded favorable results. AAT probably improves sleep quality by stimulating the vagus nerve and inhibiting sympathetic overactivity. However, the efficacy of AAT for insomnia in this population is still lacking. The proposed randomized controlled trial (RCT) will evaluate the efficacy and safety of AAT for improvement of sleep quality in MHD patients with insomnia.Methods/designThe proposed study is a multi-center, double-blind (participants and assessors), parallel-group RCT. A total of 112 participants with insomnia will be recruited from six hemodialysis centers in Guangzhou, China, and randomly allocated in a 1:1 ratio to receive auricular acupressure on either active points (AA group) or control points (points irrelevant to insomnia management, SAA group). The treatment will last for 8 weeks prior to a follow-up period of 12 weeks. Evaluation by blinded assessors at baseline, at 8 weeks (end of treatment) as well as at 4-week, 8-week and 12-week follow-ups (after intervention) will include Pittsburgh Sleep Quality Index (PSQI) scores and average weekly dose of hypnotics. The primary endpoint is clinical response rate (percentage of participants who reach a reduction of PSQI global score ≥ 3 in each group) at 8 weeks from baseline. Secondary endpoints include the changes in PSQI scores over time from baseline, as well as the changes in weekly dose of hypnotics.DiscussionThis paper describes the rationale and design of a double-blind RCT that aims to determine the efficacy and safety of AAT for insomnia of hemodialysis patients. If successful, this project will provide evidence of the efficacy and safety of AAT for insomnia of hemodialysis patients.Trial registrationClinicalTrials.gov, Identifier: NCT03015766. Registered on 22 December 2016.Electronic supplementary materialThe online version of this article (10.1186/s13063-018-2546-2) contains supplementary material, which is available to authorized users.
Wu et al. CHM on deferring dialysis initiation for stage 5 CKD patients
AIM: To identify risk factors of recurrence of this disorder after intravitreal ranibizumab (IVR) monotherapy. METHODS: Totally 33 eyes of 19 patients who underwent initial IVR treatments for type 1 retinopathy of prematurity (ROP) at our center were retrospectively reviewed between April 1, 2016 and December 31, 2017. Patient demographics, the side of ROP, multiple gestations, Apgar scores, zone, stage, plus disease, postmenstrual age at injection, surfactant therapy, blood transfusion therapy, hemorrhage before IVR, hemorrhage after IVR, gestational diabetes mellitus, pregnancy-induced hypertension, anemia, intraventricular hemorrhage, sepsis, respiratory distress syndrome, carbohemia, and congenital heart defects were recorded. Adjusted hazard ratios (HRs) and 95% confidence intervals were determined after adjusting for potential confounders using multivariate proportional Cox regression. RESULTS: Of the 33 eyes, 12 (36.4%) had ROP recurrences 45.3 (5.1, 50.9)mo after initial IVR treatments. The independent risk factors for ROP recurrences were zone (¢ò vs ¢ñ, HR: 0.056, P=0.003) and gestational diabetes mellitus (no vs yes, HR: 0.095, P<0.001). The mean uncorrected visual acuity for four recurrence eyes was 0.46 logMAR (0.13, 0.70) at 55.0 (51.0, 58.9) mo after the initial IVR treatment. The mean uncorrected visual acuity for 10 eyes without recurrence was 0.46 logMAR (0.19, 0.63) at 48.0 (43.8, 58.4) mo after the initial IVR treatment. CONCLUSION: Two independent risk factors for type 1 ROP recurrence after IVR treatment involving zone¢ñand gestational diabetes mellitus are identified, and the mean uncorrected visual acuity is 0.46 logMAR at 51.0 (44.0, 58.9)mo. The findings of this study are important for follow-up management and for improving the visual function of ROP patients.
<p>GNSS Reflectometry (GNSS-R) has emerged as a novel remote sensing technique for monitoring geophysical parameters. GNSS signals reflected from the Earth&#8217;s surface are tracked and measured by low-mass receivers onboard small satellites, providing abundant information about the target with higher sampling frequency and special coverages. The main observable of GNSS-R is Delay-Doppler Maps (DDMs), which map signal power at a range of delay and Doppler frequency shifts. The conventional retrieval algorithms rely on the parametric regression approaches inverting observables derived from the DDMs to the ocean wind speed products. Thus, GNSS-R has become a new technique for ocean wind retrieval and hurricane monitoring.&#160;<br />With the large datasets of cost-effective GNSS-R measurements available, the AI4GNSSR project (Artificial Intelligence for GNSS Reflectometry: Novel Remote Sensing of Ocean and Atmosphere) was proposed to implement Artificial Intelligence for characterizing geophysical parameters and investigating new applications and approaches for the GNSS-R technique. In this study, A global ocean wind speed dataset is created by processing the observables of NASA&#8217;s Cyclone GNSS (CyGNSS) mission. The primary implementations of AI algorithms have shown great potential in improving the quality of the existing wind speed products. The deep learning model based on convolutional layers and fully connected layers processes the input CyGNSS measurements and directly extracts features from bistatic radar cross section (BRCS) DDMs. This model achieves an overall RMSE of 1.31 m/s compared with the ERA5 reanalysis data on an unseen dataset and leads to an improvement of 28% in comparison to the operational retrieval algorithm.<br />Moreover, we found that data fusion with ancillary precipitation data is able to correct the rain effects, especially for high wind speed. For wind speeds larger than 16 m/s, our data fusion model outperforms the operational retrieval algorithm by 40%. For further validation of the model performance under extreme weather conditions, a case study of Hurricane Laura in August 2020 will be presented and discussed after a brief introduction to our models.</p>
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