Methods and results: All patients who underwent PTX between January 2010 and February 2014 in a tertiary referral center were included in this study and followed up for 12 months. Laboratory outcome parameters include various preoperative and postoperative serial measurements of laboratory parameters. Patients' hospitalizations and mortality records post-PTX were also retrieved and recorded. In all, 90 patients were included in this study. The mean age was 48 ± 18 years. The majority of the patients (54.4%) were male and 90% were on hemodialysis. The mean duration of dialysis was 8.0 ± 5.0 years. Indications for PTX were symptomatic bone pain (95.6%), fractures (3.3%) and calciphylaxis (1.1%). Mean preoperative values for serum calcium, phosphate, alkaline phosphatase and intact parathyroid hormone (iPTH) were 2.40 ± 0.23mmol/L, 1.92 ± 0.51 mmol/L, 689.60 ± 708.50 U/L and 311.90 ± 171.94 pmol/L, respectively. The majority (92.2%) had all four glands removed and 92.2% of the glands showed hyperplasic changes. One year after PTX, 90 patients (100%) had serum iPTH <8 pmol/L and 28 patients (31%) had unmeasurable iPTH levels. A total of 15% of patients had hospitalizations for various reasons and of these, 50% were within 90 days. The mean hospital stay was 14.4 ± 18.6 days. The mortality rate was 4.4% and of these, 25% were in first 30 days. Causes of death were mainly from sepsis (75%) and acute coronary syndrome (25%). One patient (1.1%) had a relapse.
Conclusions: Even though PTX markedly reduces postoperative serum iPTH levels, it carries with it significant risk of morbidity and mortality.
METHODS: We reviewed a cohort of people with T2D seeking care from two tertiary hospitals in the metropolitan cities of the state of Selangor and Negeri Sembilan from January 2012 to May 2021. To identify the 3-year predictor of developing CKD (primary outcome) and CKD progression (secondary outcome), the dataset was randomly split into a training and test set. A Cox proportional hazards (CoxPH) model was developed to identify predictors of developing CKD. The resultant CoxPH model was compared with other machine learning models on their performance using C-statistic.
RESULTS: The cohorts included 1992 participants, of which 295 had developed CKD and 442 reported worsening of kidney function. Equation for the 3-year risk of developing CKD included gender, haemoglobin A1c, triglyceride and serum creatinine levels, estimated glomerular filtration rate, history of cardiovascular disease and diabetes duration. For risk of CKD progression, the model included systolic blood pressure, retinopathy and proteinuria. The CoxPH model was better at prediction compared with other machine learning models examined for incident CKD (C-statistic: training 0.826; test 0.874) and CKD progression (C-statistic: training 0.611; test 0.655). The risk calculator can be found at https://rs59.shinyapps.io/071221/.
CONCLUSIONS: The Cox regression model was the best performing model to predict people with T2D who will develop a 3-year risk of incident CKD and CKD progression in a Malaysian cohort.
METHODS: We analyzed data (2012-18) from the prospective cohort Dialysis Outcomes and Practice Patterns Study for 1544 GCC patients ≥18 years old and on dialysis >180 days.
RESULTS: Thirty-four percent of GCC HD patients had low Kt/V (<1.2) versus 5%-17% in Canada, Europe, Japan and the USA. Across the GCC countries, low Kt/V prevalence ranged from 10% to 54%. In multivariable logistic regression, low Kt/V was more common (P