| Literature DB >> 32423377 |
Xiaohan You1, Ying Zhou1, Jianna Zhang1, Qiongxiu Zhou1, Yanling Shi1, Zhen Su1, Chaoshen Chen1, Rongrong Shao1, Ji Zhang2.
Abstract
BACKGROUND: Continuous ambulatory peritoneal dialysis (CAPD) patients have a high incidence of stroke and commonly have increased parathyroid hormone levels and vitamin D insufficiency. We seek to investigate the incidence of stroke and the role of parathyroid hormone and vitamin D supplementation in stroke risk among CAPD patients.Entities:
Keywords: Chronic kidney disease; Continuous ambulatory peritoneal dialysis; Parathyroid hormone; Risk factor; Stroke; Vitamin D
Year: 2020 PMID: 32423377 PMCID: PMC7236177 DOI: 10.1186/s12882-020-01817-6
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Fig. 1Flow chart of the patient inclusion process
Comparing the clinical characteristics and laboratory measurements of the included CAPD patients with and without stroke
| Characteristics | Overall | Case-control | ||
|---|---|---|---|---|
| Non-stroke | Stroke | |||
| Patients (n) | 757 | 666 | 91 | |
| Male (n, %) | 417 (55.1) | 368 (55.3) | 49 (53.8) | 0.9 |
| Age (years, median [IQR]) | 49.0 [38.0, 60.0] | 48.0 [37.0, 58.0] | 62.0 [52.5, 68.5] | < 0.001 |
| Serum albumin (g/l, median [IQR]) | 35.4 [31.8, 38.9] | 35.7 [32.0, 39.2] | 33.6 [31.2, 37.2] | 0.004 |
| Hemoglobin (g/l, median [IQR]) | 81.1 (18.6) | 81.3 (18.6) | 80.0 (19.2) | 0.5 |
| Serum calcium (mmol/l, median [IQR]) | 2.1 [1.9, 2.2] | 2.1 [1.9, 2.2] | 2.1 [1.9, 2.2] | 0.7 |
| Serum phosphorus (mmol/l, median [IQR]) | 1.7 [1.5, 2.0] | 1.7 [1.5, 2.0] | 1.6 [1.3, 1.9] | 0.002 |
| iPTH (pg/ml, median [IQR]) | 258.9 [141.3, 416.5] | 270.2 [153.9, 420.9] | 167.7 [87.7, 346.2] | 0.001 |
| iPTH levels (n, %) | < 0.001 | |||
| ≤ 150 | 201 (26.8) | 158 (24.0) | 43 (47.3) | |
| 150–300 | 235 (31.3) | 215 (32.6) | 20 (22.0) | |
| 300–600 | 241 (32.1) | 223 (33.8) | 18 (19.8) | |
| > 600 | 73 (9.7) | 63 (9.6) | 10 (11.0) | |
| SBP (mmHg, mean (SD)) | 140.8 (25.1) | 140.5 (24.9) | 143.6 (26.6) | 0.3 |
| DBP (mmHg, mean (SD)) | 84.0 [73.0, 94.0] | 85.0 [74.0, 94.0] | 77.0 [66.0, 86.2] | < 0.001 |
| Pulse pressure (mmHg, mean (SD)) | 57.4 (19.9) | 56.2 (19.1) | 67.4 (22.1) | < 0.001 |
| Heart disease (n, %) | 208 (27.5) | 164 (24.6) | 44 (48.4) | < 0.001 |
| Atrial fibrillation (n, %) | 27 (3.6) | 21 (3.2) | 6 (6.6) | 0.2 |
| Hypertension (n, %) | 736 (97.2) | 645 (96.8) | 91 (100.0) | 0.2 |
| Diabetes (n, %) | 211 (27.9) | 162 (24.3) | 49 (53.8) | < 0.001 |
| Antiplatelet drugs (n, %) | 270 (35.7) | 208 (31.2) | 62 (68.1) | < 0.001 |
| Anticoagulants (n, %) | 15 (2.0) | 14 (2.1) | 1 (1.1) | 0.8 |
| RAAS blockades (n, %) | 600 (79.3) | 529 (79.4) | 71 (78.0) | 0.9 |
| CCBs (n, %) | 685 (90.5) | 597 (89.6) | 88 (96.7) | 0.05 |
| Calcium agents (n, %) | 604 (79.8) | 538 (80.8) | 66 (72.5) | 0.09 |
| Vitamin D (n, %) | 521 (68.8) | 472 (70.9) | 49 (53.8) | 0.002 |
| Statins (n, %) | 466 (61.6) | 399 (59.9) | 67 (73.6) | 0.02 |
| Follow-up time (months, median [IQR]) | 54.7 (33.0) | 54.6 (32.7) | 55.5 (35.4) | 0.8 |
| Composite endpoint (n, %) | 153 (20.2) | 117 (17.6) | 36 (39.6) | < 0.001 |
Fig. 2The difference in serum iPTH levels during follow-up between the stroke and non-stroke groups. The curves were fitted using the local polynomial regression line, and the gray region denotes the 95% confidence interval
Fig. 3Kaplan-Meier analysis of stroke risk in groups stratified by different serum iPTH levels. Serum iPTH levels were divided into four groups: < 150, 150–300, 300–600, and > 600 pg/ml
Univariate Cox regression for stroke and composite endpoints
| Variables | Model 1 | Model 2 | |||
|---|---|---|---|---|---|
| HR [95% CI] | HR [95% CI] | ||||
| Age (years) | 1.07 [1.05, 1.09] | < 0.001 | 1.05 [1.04, 1.06] | < 0.001 | |
| Gender (male) | 0.72 [0.44, 1.18] | 0.2 | 1.58 [1.13, 2.22] | 0.008 | |
| Serum albumin (g/l) | 0.96 [0.92, 1.00] | 0.07 | 0.96 [0.94, 0.99] | 0.005 | |
| Serum UA (mg/dl) | 0.97 [0.86, 1.10] | 0.6 | 0.98 [0.91, 1.07] | 0.7 | |
| Hemoglobin (g/l) | 1.00 [0.99, 1.01] | 0.9 | 1.00 [0.99, 1.01] | 0.5 | |
| Serum calcium (mmol/l) | 1.44 [0.57, 3.63] | 0.4 | 1.03 [0.57, 1.86] | 0.9 | |
| Serum phosphorus (mmol/l) | 0.55 [0.30, 1.03] | 0.06 | 0.60 [0.40, 0.90] | 0.01 | |
| iPTH levels | |||||
| ≤ 150 | Ref | – | Ref | – | |
| 150–300 | 0.43 [0.23, 0.81] | 0.009 | 0.81 [0.54, 1.22] | 0.3 | |
| 300–600 | 0.38 [0.20, 0.72] | 0.003 | 0.54 [0.35, 0.84] | 0.006 | |
| > 600 | 0.58 [0.25, 1.33] | 0.2 | 0.62 [0.34, 1.13] | 0.1 | |
| SBP (mmHg) | 1.00 [0.99, 1.01] | 0.5 | 1.00 [0.99, 1.01] | 0.9 | |
| DBP (mmHg) | 0.97 [0.95, 0.98] | < 0.001 | 0.98 [0.97, 0.99] | < 0.001 | |
| Chronic heart disease (yes) | 3.19 [1.95, 5.22] | < 0.001 | 3.04 [2.19, 4.23] | < 0.001 | |
| Atrial fibrillation (yes) | 2.52 [1.09, 5.85] | 0.03 | 2.88 [1.68, 4.92] | < 0.001 | |
| Diabetes (yes) | 2.81 [1.72, 4.59] | < 0.001 | 2.43 [1.75, 3.37] | < 0.001 | |
| Vitamin D (yes) | 0.38 [0.23, 0.63] | < 0.001 | 0.46 [0.32, 0.64] | < 0.001 | |
| Antiplatelet agents (yes) | 3.33 [1.99, 5.58] | < 0.001 | 1.67 [1.20, 2.32] | 0.002 | |
| Anticoagulants (yes) | 0.72 [0.10, 5.22] | 0.7 | 2.39 [1.12, 5.11] | 0.02 | |
| Calcium agents (yes) | 0.53 [0.31, 0.92] | 0.02 | 0.68 [0.46, 1.00] | 0.05 | |
| Statins (yes) | 1.38 [0.80, 2.37] | 0.3 | 0.82 [0.58, 1.14] | 0.2 | |
Model 1: Univariate model for stroke; Model 2: Univariate model for composite endpoints
Multivariate Cox regression analysis of stroke and composite endpoints
| Variables | Model 1 | Model 2 | ||
|---|---|---|---|---|
| HR [95% CI] | HR [95% CI] | |||
| Age (years) | 1.03 [0.99, 1.06] | 0.1 | 1.03 [1.01, 1.06] | 0.008 |
| Gender (male) | 1.53 [1.04, 2.25] | 0.03 | ||
| Serum albumin (g/l) | 0.99 [0.94, 1.05] | 0.7 | 0.99 [0.95, 1.03] | 0.6 |
| Serum UA (mg/dl) | 1.06 [0.91, 1.24] | 0.4 | 0.99 [0.90, 1.08] | 0.8 |
| Serum calcium (mmol/l) | 1.07 [0.31, 3.63] | 0.9 | 1.13 [0.51, 2.52] | 0.8 |
| Serum phosphorus (mmol/l) | 1.08 [0.52, 2.24] | 0.8 | 1.11 [0.69, 1.81] | 0.7 |
| iPTH levels | ||||
| ≤ 150 | Ref | – | Ref | – |
| 150–300 | 0.02 [0.00, 0.89] | 0.04 | 0.48 [0.06, 3.59] | 0.5 |
| 300–600 | 0.21 [0.01, 5.18] | 0.3 | 0.22 [0.03, 1.77] | 0.2 |
| > 600 | 0.50 [0.00, 51.58] | 0.8 | 0.33 [0.02, 5.29] | 0.4 |
| SBP (mmHg) | 1.01 [1.00, 1.02] | 0.06 | 1.00 [0.99, 1.01] | 0.9 |
| DBP (mmHg) | 0.98 [0.96, 1.00] | 0.04 | 1.00 [0.99, 1.02] | 0.8 |
| Chronic heart disease (yes) | 2.34 [1.60, 3.43] | < 0.001 | ||
| Atrial fibrillation (yes) | 1.27 [0.48, 3.33] | 0.6 | 1.16 [0.56, 2.40] | 0.7 |
| Diabetes (yes) | 1.31 [0.73, 2.36] | 0.4 | 1.53 [1.04, 2.26] | 0.03 |
| Vitamin D (yes) | 0.42 [0.23, 0.76] | 0.004 | 0.50 [0.33, 0.74] | 0.001 |
| Antiplatelet agents (yes) | 1.72 [0.93, 3.15] | 0.08 | 0.84 [0.57, 1.23] | 0.4 |
| Anticoagulants (yes) | 0.94 [0.34, 2.63] | 0.9 | ||
| Calcium agents (yes) | 0.49 [0.27, 0.89] | 0.02 | 0.79 [0.51, 1.23] | 0.3 |
| Interaction term | ||||
| Age: iPTH < 150 | Ref | – | Ref | – |
| Age: iPTH 150–300 | 1.06 [1.00, 1.13] | 0.06 | 1.01 [0.98, 1.05] | 0.5 |
| Age: iPTH 300–600 | 1.02 [0.97, 1.07] | 0.5 | 1.02 [0.98, 1.06] | 0.3 |
| Age: iPTH > 600 | 1.02 [0.93, 1.11] | 0.7 | 1.03 [0.97, 1.08] | 0.3 |
Variables with a p-value less than 0.1 in the univariate Cox regression analyses were selected to build the multivariate Cox regression models. Model 1: multivariate model for stroke; Model 2: multivariate model for composite endpoints