Low Parathyroid Hormone Versus Secondary Hyperparathyroidism and Survival in Patients Undergoing Hemodialysis: A Propensity-Matched Analysis

Association between serum intact parathyroid hormone and survival in dialysis patients

PURPOSE

To examine the relationship between serum intact parathyroid hormone (iPTH) levels and survival in maintenance dialysis patients.

METHODS

We retrospectively reviewed the data of patients who began and continued dialysis from January 2013 to December 2022. Patients were categorized based on their baseline and time-averaged (TA) iPTH levels into three groups: low (iPTH < 150 pg/ml), medium (150 ≤ iPTH < 300 pg/ml), and high (iPTH ≥ 300 pg/ml). We utilized the Kaplan-Meier method to assess survival differences, the Cox proportional hazards regression model to identify risk factors impacting adverse outcomes and the restricted cubic spline model to evaluate the association between iPTH levels and the all-cause mortality.

RESULTS

We included a total of 1023 participants, comprising 524 hemodialysis and 499 peritoneal dialysis. Kaplan-Meier analysis showed that high baseline group had higher survival and low baseline group had poorer survival, compared with medium baseline group, respectively (χ2 = 44.974, P < 0.001). The three TA groups showed similar results (χ2 = 67.316, P < 0.001). Multivariate COX regression analysis showed that low TA iPTH was an independent risk factor for all-cause death (hazard ratio [HR] = 1.655, 95% CI 1.159-2.365, P = 0.006). The restricted cubic spline model revealed an L-shaped connection between TA iPTH level and the all-cause mortality with an inflection point of 193 pg/ml.

CONCLUSION

The survival for maintenance dialysis patients varies significantly based on their baseline and time-averaged iPTH levels, with time-averaged iPTH emerges as an independent risk factor for all-cause death in these patients.

PTH may predict early mortality in incident patients on hemodialysis: results from a large cohort

PURPOSE

Parathyroid hormone (PTH) is merit as a risk factor for mortality in patients with chronic kidney disease in prevalent hemodialysis patients in a U shape. Most studies, however, do not focus on incident patients and those who died within the first 90 days of therapy. We evaluated PTH as a risk factor for mortality in a large cohort population in Brazil.

METHODS

This is an observational cohort study that included 4317 adult patients who initiated hemodialysis between July 1st, 2012 and June 30, 2017. The main outcome was all-cause mortality. Fine-gray sub-distribution hazard models were used to evaluate survival in the presence of a competing event (kidney transplant).

RESULTS

Median PTH levels of 252 (118, 479) pg/mL. There were 331 deaths during the first 90 days of therapy (6.7%), 430 in a 1-year follow-up (10.7%) and 1282 (32%) during the 5-year study period. Deaths according to PTH < 150, 150-600 and > 600 pg/mL corresponded to 38.1%, 33.0% and 28.5%, respectively (p < 0.001). In an adjusted model, patients who started dialysis with PTH < 150 pg/mL had a higher mortality risk within the first 90 days, but not in 1 year and 5 years after starting dialysis. Analyses in a subset of patients with a repeated PTH in 1 year (N = 1954) showed that although persistent PTH low levels (< 150 pg/mL) at 1 year were significantly associated with all-cause mortality, this result was not sustained after multiple adjustments.

CONCLUSION

PTH < 150 pg/mL confers a high mortality risk in the first 90 days of dialysis. If this result reflects poor nutritional conditions, it deserves further investigations.

Relationship between serum iPTH and peritonitis episodes in patients undergoing continuous ambulatory peritoneal dialysis

Background

Peritonitis is considered as one of the most serious complications that cause hospitalization in patients undergoing continuous ambulatory peritoneal dialysis (CAPD). There is limited evidence on the impact of the parathyroid hormone (PTH) on the first peritoneal dialysis (PD)-associated peritonitis episode. We aimed to investigate the influence of serum intact parathyroid hormone (iPTH) on peritonitis in patients undergoing PD.

Methods

This was a retrospective cohort study. Patients undergoing initial CAPD from a single center in China were enrolled. The baseline characteristics and clinical information were recorded. The primary outcome of interest was the occurrence of the first PD-associated peritonitis episode. Five Cox proportional hazard models were constructed in each group set. In group set 1, all participants were divided into three subgroups by tertiles of the serum concentration of iPTH; in group set 2, all participants were divided into three subgroups based on the serum concentration of iPTH with 150 pg/ml interval (<150, 150-300, and >300 pg/ml). Hazard ratios and 95% confidence intervals (CIs) were calculated for each model. The multivariate linear regression analysis elimination procedure assessed the association between the clinical characteristics at baseline and the iPTH levels. Restricted cubic spline models were constructed, and stratified analyses were also conducted.

Results

A total of 582 patients undergoing initial PD (40% women; mean age, 45.1 ± 11.5 years) from a single center in China were recruited. The median follow-up duration was 25.3 months. Multivariate Cox regression analysis showed that, in the fully adjusted model, a higher serum iPTH level (tertile 3, iPTH >300 pg/ml) was significantly associated with a higher risk of PD-associated peritonitis at 3 years [tertile 3: hazard ratio (HR) = 1.53, 95%CI = 1.03-2.55, p = 0.03; iPTH > 300 pg/ml: HR = 1.57, 95%CI = 1.08-2.27, p = 0.02]. The hazard ratio for every 100 pg/ml increase in serum iPTH level was 1.12 (95%CI = 1.05-1.20, p < 0.01) in the total cohort when treating iPTH as a continuous variable.

Conclusions

An elevated iPTH level was significantly associated with an increased risk of peritonitis in patients undergoing CAPD.

Is Adynamic Bone Always a Disease? Lessons from Patients with Chronic Kidney Disease

Renal osteodystrophy (ROD) is a common complication of end-stage kidney disease that often starts early with loss of kidney function, and it is considered an integral part in management of patients with chronic kidney disease (CKD). Adynamic bone (ADB) is characterized by suppressed bone formation, low cellularity, and thin osteoid seams. There is accumulating evidence supporting increasing prevalence of ADB, particularly in early CKD. Contemporarily, it is not very clear whether it represents a true disease, an adaptive mechanism to prevent bone resorption, or just a transitional stage. Several co-players are incriminated in its pathogenesis, such as age, diabetes mellitus, malnutrition, uremic milieu, and iatrogenic factors. In the present review, we will discuss the up-to-date knowledge of the ADB and focus on its impact on bone health, fracture risk, vascular calcification, and long-term survival. Moreover, we will emphasize the proper preventive and management strategies of ADB that are pivotal issues in managing patients with CKD. It is still unclear whether ADB is always a pathologic condition or whether it can represent an adaptive process to suppress bone resorption and further bone loss. In this article, we tried to discuss this hard topic based on the available limited information in patients with CKD. More studies are needed to be able to clearly address this frequent ROD finding.

Construction and validation of a predictive model for hypocalcemia after parathyroidectomy in patients with secondary hyperparathyroidism

OBJECTIVE

We aimed to construct and validate a predictive model for the risk of hypocalcemia following parathyroidectomy (PTX) for the treatment of secondary(renal) hyperparathyroidism (SHPT).

METHODS

Information regarding patients with SHPT who underwent PTX between January 2019 and April 2022 was collected retrospectively. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for hypocalcemia following PTX and to construct predictive models. The areas under the receiver operating characteristic curve (AUC), the calibration curve, and the clinical decision curve (decision curve analysis, DCA) were used to assess the discrimination, calibration, and level of clinical benefit obtained using the predictive models.

RESULTS

We studied 238 patients who were randomly allocated in a 7:3 ratio to a training group (n=166) and a test group (n=72). Univariate and multivariate logistic regression analyses were performed, in which three variables (the circulating parathyroid hormone (PTH) and Ca concentrations, and alkaline phosphatase (ALP) activity) were interrogated for possible roles as independent risk factors for hypocalcemia in patients with SHPT who undergo PTX, and used to construct predictive models. The AUCs for the constructed models were high for both the training (0.903) and test (0.948) groups. The calibration curve showed good agreement between the incidence of postoperative hypocalcemia estimated using the predictive model and the actual incidence. The DCA curve indicated that the predictive model performed well.

CONCLUSION

A predictive model constructed using a combination of preoperative PTH, Ca, and ALP may represent a useful means of identifying patients with SHPT at high risk of developing hypocalcemia following PTX in clinical practice.