Impact of parathyroidectomy on left ventricular function in end stage renal disease patients.

BACKGROUND: Secondary hyperparathyroidism (SHPT) is a common complication in end-stage renal disease (ESRD) patients, and parathyroidectomy (PTX) is an effective treatment intervention of SHPT. However, the curative impact of PTX on left ventricular function still remains incompletely understood. To evaluate the impact of parathyroidectomy on left ventricular function in ESRD patients, we conducted this retrospective study. METHODS: Between Oct 1, 2010 and Oct 1, 2016, ESRD patients presented with SHPT who underwent parathyroidectomy were enrolled. We retrospectively collected the ultrasonic cardiogram parameter pre- and 1-year post-PTX, and analyzed the influence factor for the overturn of left ventricular hypertrophy (LVH) and the improvement of ejection fraction% (EF%). RESULTS: In all the patients (135), the main ultrasonic cardiogram parameter dramatically improved after PTX. Compared with pre-PTX, the left ventricular mass (LVM) (172.82 (135.90, 212.91) g vs. 192.76 (157.56, 237.97) g, p<0.001) and the left ventricular mass index (LVMI) (107.01 (86.79, 128.42) g/m2 vs. 123.54 (105.49, 146.64) g/m2, p<0.001) significantly declined after 1 year of the PTX. Further, 43.75% patients diagnosed with LVH before the PTX have recovered from LVH. In the subgroup analysis of 35 patients with EF% ≤ 60% pre-PTX, EF% and fractional shortening% (FS%) significantly improved after 1 year of the PTX compared with pre-PTX (EF%: 64.90 ± 7.90% vs. 55.71 ± 4.78%, p<0.001; FS% 35.48 ± 6.34% vs. 29.54 ± 2.88%, p<0.001), and 82.86% patients underwent an improvement of left ventricular systolic function post 1year of the PTX. CONCLUSIONS: tPTX+AT is an effective curative intervention of secondary hyperparathyroidism and can significantly overturn the LVH and increase the left ventricular systolic function.

Intradialytic exercise in hemodialysis patients: a systematic review and meta-analysis.

BACKGROUND AND OBJECTIVE: Hemodialysis (HD) patients are more inactive, leading to poor functional capacity and quality of life; this may be reversed with intradialytic exercise training. To systematically evaluate the efficacy and safety of intradialytic exercise for HD patients, we conducted a meta-analysis of the published randomized controlled trials. DATA SOURCES AND METHODS: Medline, Embase, and Cochrane Central Register of Controlled Trials were systematically searched up to February, 2014. The reference lists of eligible studies and relevant reviews were also checked. RESULTS: 24 studies of 997 patients were included. Compared with control, intradialytic exercise significantly improve Kt/V (SMD = 0.27, 95% CI 0.01-0.53), peak oxygen consumption (VO(2peak)) (SMD = 0.53, 95% CI 0.30-0.76), and physical performance of physical function of life (SMD = 0.30, 95% CI 0.04-0.55). However, no significant improvements were found in the mental function of life. There was no significant difference with respect to musculoskeletal and cardiovascular complications between the intradialytic exercise groups and control groups. Further subgroup analysis found that, when the trial duration was more than 6 months, the intervention had significant effects on VO(2peak) (SMD = 0.89, 95% CI 0.56-1.22). However, when the trial duration was less than 6 months, the change of VO(2peak) was not significant (SMD = 0.19, 95% CI -0.13 to 0.51). CONCLUSION: Intradialytic exercise can improve Kt/V, VO(2peak), and the physical quality of life, and intradialytic exercise is safe for HD patients. Therefore, we put forward the suggestion that clinical guideline be updated to inform clinicians on the benefits of intradialytic exercise on HD patients.

Prognostic Machine Learning Models for First-Year Mortality in Incident Hemodialysis Patients: Development and Validation Study.

BACKGROUND: The first-year survival rate among patients undergoing hemodialysis remains poor. Current mortality risk scores for patients undergoing hemodialysis employ regression techniques and have limited applicability and robustness. OBJECTIVE: We aimed to develop a machine learning model utilizing clinical factors to predict first-year mortality in patients undergoing hemodialysis that could assist physicians in classifying high-risk patients. METHODS: Training and testing cohorts consisted of 5351 patients from a single center and 5828 patients from 97 renal centers undergoing hemodialysis (incident only). The outcome was all-cause mortality during the first year of dialysis. Extreme gradient boosting was used for algorithm training and validation. Two models were established based on the data obtained at dialysis initiation (model 1) and data 0-3 months after dialysis initiation (model 2), and 10-fold cross-validation was applied to each model. The area under the curve (AUC), sensitivity (recall), specificity, precision, balanced accuracy, and F1 score were used to assess the predictive ability of the models. RESULTS: In the training and testing cohorts, 585 (10.93%) and 764 (13.11%) patients, respectively, died during the first-year follow-up. Of 42 candidate features, the 15 most important features were selected. The performance of model 1 (AUC 0.83, 95% CI 0.78-0.84) was similar to that of model 2 (AUC 0.85, 95% CI 0.81-0.86). CONCLUSIONS: We developed and validated 2 machine learning models to predict first-year mortality in patients undergoing hemodialysis. Both models could be used to stratify high-risk patients at the early stages of dialysis.

Association of Matrix Gla protein gene (rs1800801, rs1800802, rs4236) polymorphism with vascular calcification and atherosclerotic disease: a meta-analysis.

Association between the MGP gene rs1800801, rs1800802, rs4236 polymorphisms and vascular calcification and atherosclerotic disease was inconsistent. To clarify precise association, we performed this meta-analysis. Medline, Embase and China Knowledge Resource Integrated Database were systematically searched through December 2016. A total of 23 case-control studies, consisting of 5280 cases and 5773 controls, were included. The overall results suggested that the -7A polymorphism was associated with an increased risk for vascular calcification and atherosclerotic disease in the recessive model (OR = 1.50, 95% CI 1.01-2.24, P = 0.045). Subgroup analyses of Caucasians showed significant associations in the allelic model, recessive model, and homozygote model: allelic model (OR = 1.19, 95% CI 1.06-1.34, P = 0.004), recessive model (OR = 1.60, 95% CI 1.26-2.03, P < 0.001), homozygote model (OR = 1.83, 95% CI 1.18-2.81, P = 0.006). Subgroup analysis of the Asian population did not demonstrate any significant associations in any of the genetic models. No significant association was found in any genetic model amongst the rs1800802 and rs4236 polymorphisms. The findings of this meta-analysis indicate that the MGP gene rs1800801 polymorphism is significantly associated with vascular calcification and atherosclerotic disease, especially in the Caucasian population.