| Literature DB >> 28656147 |
Qiu Ping Xi1,2, Xi Sheng Xie2, Ling Zhang1, Rui Zhang1, Yue Fei Xiao3, Cheng Gang Jin4, Yan Bo Li5, Lin Wang6, Xiao Xuan Zhang7, Shu Tong Du8.
Abstract
BACKGROUND: Secondary hyperparathyroidism (SHPT) usually required parathyroidectomy (PTX) when drugs treatment is invalid. Analysis was done on the impact of different intact parathyroid hormone (iPTH) after the PTX on all-cause mortality.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28656147 PMCID: PMC5474544 DOI: 10.1155/2017/6934706
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Patients characteristics by baseline iPTH category (n = 404).
| Characteristics | iPTH ≤ 20 pg/mL | iPTH 20–150 pg/mL | iPTH 151–600 pg/mL | iPTH > 600 pg/mL | Total |
|---|---|---|---|---|---|
| Gender (male) | 112 (54.6%) | 58 (51.2%) | 24 (43.6%) | 21 (67.7%) | 215 (53.2%) |
| Age (year) | 47.36 ± 11.7 | 46.58 ± 11.46 | 48.87 ± 9.66 | 46.9 ± 13.79 | 47.32 ± 11.52 |
| Dialysis vintage (month) | 106.59 ± 58.59 | 96.98 ± 50.85 | 90.58 ± 50.40 | 96.81 ± 44.76 | 100.97 ± 54.55 |
| Primary cause of ESRD | |||||
| Chronic glomerulonephritis | 95 (46.3%) | 61 (54%) | 27 (49.1%) | 20 (64.5%) | 203 (50.2%) |
| Diabetic nephropathy | 1 (0.5%) | 1 (0.9%) | 0 (0%) | 1 (3.2%) | 3 (0.7%) |
| Hypertensive nephropathy | 21 (10.2%) | 2 (1.8%) | 1 (1.8%) | 1 (3.2%) | 25 (6.2%) |
| Polycystic kidney | 13 (6.3%) | 4 (3.5%) | 1 (1.8%) | 2 (6.5%) | 20 (5%) |
| Other | 25 (12.2%) | 14 (12.4%) | 6 (10.9%) | 3 (9.7%) | 48 (11.9%) |
| Unknown | 50 (24.5%) | 31 (27.4%) | 20 (36.4%) | 4 (12.9%) | 105 (26%) |
| Serum Caalb (mmol/L) | 2.56 ± 0.24 | 2.54 ± 0.22 | 2.67 ± 0.77 | 2.52 ± 0.16 | 2.29 ± 0.37 |
| Serum P (mmol/L) | 2.19 ± 0.58 | 2.21 ± 0.48 | 2.17 ± 0.48 | 2.38 ± 0.40 | 1.58 ± 0.63 |
| Serum ALP (IU/L) | 589.53 ± 543.19 | 604.79 ± 662.54 | 525.34 ± 471.26 | 454.17 ± 402 | 578.88 ± 670.32 |
| Serum iPTH (pg/mL) | 1926.76 ± 933.15 | 1938.70 ± 803.63 | 1967.75 ± 717.85 | 2119.09 ± 716.01 | 1950.44 ± 854.42 |
| Death ( | 17 (8.29%) | 4 (3.54%) | 6 (10.91%) | 9 (29.3%) | 36 (8.91%) |
Mean ± standard deviation is described if the variable is normally distributed.
Figure 1Unadjusted Kaplan–Meier survival curve. Note: pthg: 1 = iPTH ≤ 20 pg/mL; 2 = iPTH 21–150 pg/mL; 3 = iPTH 151–600 pg/mL; 4 = iPTH > 600 pg/mL.
Results of baseline multivariate logistic regression model for all-cause mortality.
| Parameter | OR | Standard error |
| 95% confidence interval |
|---|---|---|---|---|
| iPTH | ||||
| Group B 21–150 pg/mL | 0.42 | 0.24 | 0.13 | 0.13~1.29 |
| Group C 151–600 pg/mL | 1.35 | 0.69 | 0.56 | 0.49~3.69 |
| Group D >600 pg/mL | 5.17 | 2.6 | 0.001 | 1.93~13.88 |
| Age | 1.07 | 0.02 | 0.000 | 1.04~1.11 |
Adjusted for age, gender, dialysis vintage, primary cause of end-stage renal disease, serum Caalb, P, and ALP.
Results of baseline multivariate Cox regression and competing risk regression analysis for all-cause mortality.
| Parameter | HR |
| 95% confidence interval |
|---|---|---|---|
| iPTH | |||
| Group B 21–150 pg/mL | 0.57 | 0.32 | 0.19~1.72 |
| Group C 151–600 pg/mL | 1.43 | 0.46 | 0.55~3.68 |
| Group D >600 pg/mL | 3.45 | 0.004 | 1.49~7.99 |
| Age | 1.06 | 0 | 1.03~1.09 |
| Dialysis vintage2 | 1.0006 | 0.04 | 1.00~1.001 |
Adjusted for age, gender, dialysis vintage, primary cause of end-stage renal disease, serum Caalb, P, and ALP.
Figure 2Multivariate adjusted hazard ratio comparison between different groups. Note: pthg: 1 = iPTH ≤ 20 pg/mL; 2 = iPTH 21–150 pg/mL; 3 = iPTH 151–600 pg/mL; 4 = iPTH > 600 pg/mL. Adjusted for age, gender, dialysis vintage, primary cause of end-stage renal disease, serum Caalb, P, and ALP.
Figure 3Cox proportional hazards regression model survival curves. Note: pthg = 1: A: iPTH ≤ 20 pg/mL; pthg = 2: B: iPTH 21–150 pg/mL; pthg = 3: C: iPTH 151–600 pg/mL; pthg = 4: D: iPTH > 600 pg/mL. Adjusted for age, gender, dialysis vintage, primary cause of end-stage renal disease, serum Caalb, P, and ALP.