| Literature DB >> 35761193 |
James Heaf1, Maija Heiro2, Aivars Petersons3, Baiba Vernere3, Johan V Povlsen4, Anette Bagger Sørensen4, Naomi Clyne5, Inga Bumblyte6, Alanta Zilinskiene6, Else Randers7, Niels Løkkegaard8, Mai Rosenberg9, Stig Kjellevold10, Jan Dominik Kampmann11, Björn Rogland12, Inger Lagreid13, Olof Heimburger14, Abdul Rashid Qureshi14, Bengt Lindholm14.
Abstract
BACKGROUND: Controversy surrounds which factors are important for predicting early mortality after dialysis initiation (DI). We investigated associations of predialysis course and circumstances affecting planning and execution of DI with mortality following DI.Entities:
Keywords: Hemodialysis; Mortality; Peritoneal dialysis; Survival analysis
Mesh:
Year: 2022 PMID: 35761193 PMCID: PMC9235232 DOI: 10.1186/s12882-022-02852-1
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.585
Clinical and laboratory characteristics in all 1580 patients initiating dialysis and when divided based upon initial therapy of PD or HD
| Age, years | 67.0 (54.4–74.7) | 66.3 (53.5–74.4) | 67.3 (55.2–75.0) | 0.20 |
| Males | 1,012 (64.1%) | 363 (64.7%) | 649 (63.7%) | 0.69 |
| BMI, kg/m2 ( | 25.8 (22.9–29.4) | 25.8 (23.0–28.7) | 25.8 (22.8–30.0) | 0.26 |
| Albumin, g/L ( | 33.0 (28.0–37.9) | 34.9 (30.0–38.0) | 32.0 (27.0–37.0) | < 0.001 |
| eGFR epi ml/min1.73 m2 | 6.7 (5.0–8.5) | 7.2 (5.7–9.3) | 6.4 (4.7–8.2) | < 0.001 |
| High eGFR loss ratea n(%) | 527 (43.4%) | 134 (28.3%) | 393 (53.1%) | < 0.001 |
| Diabetic nephropathy | 386 (24.4%) | 145 (25.8%) | 241 (23.7%) | 0.33 |
| Polycystic kidney disease | 105 ( 6.6%) | 45 ( 8.0%) | 60 ( 5.9%) | 0.10 |
| Glomerulonephritis | 283 (17.9%) | 116 (20.7%) | 167 (16.4%) | 0.033 |
| Chronic interstitial nephritis | 186 (11.8%) | 51 ( 9.1%) | 135 (13.2%) | 0.014 |
| Hypertensive nephropathy | 301 (19.1%) | 117 (20.9%) | 184 (18.1%) | 0.18 |
| Previous myocardial infarct | 170 (10.8%) | 57 (10.2%) | 113 (11.1%) | 0.57 |
| Heart failure | 262 (16.6%) | 89 (15.9%) | 173 (17.0%) | 0.57 |
| Other heart disease | 196 (12.4%) | 59 (10.5%) | 137 (13.4%) | 0.091 |
| Cerebrovascular | 188 (11.9%) | 60 (10.7%) | 128 (12.6%) | 0.27 |
| Clinical diabetes mellitus | 548 (34.7%) | 196 (34.9%) | 352 (34.5%) | 0.87 |
| Peripheral atherosclerosis | 193 (12.2%) | 57 (10.2%) | 136 (13.3%) | 0.064 |
| Cancer | 261 (16.5%) | 73 (13.0%) | 188 (18.4%) | 0.005 |
| Pulmonary | 150 ( 9.5%) | 44 ( 7.8%) | 106 (10.4%) | 0.097 |
| Hepatic | 60 ( 3.8%) | 19 ( 3.4%) | 41 ( 4.0%) | 0.53 |
| Previous transplant | 81 ( 5.1%) | 22 ( 3.9%) | 59 ( 5.8%) | 0.11 |
| Psychiatric | 67 ( 4.2%) | 14 ( 2.5%) | 53 ( 5.2%) | 0.011 |
| Hemoglobin, ref ≥ 7 mmol/L | 1,142 (73.1%) | 336 (61.0%) | 806 (79.7%) | < 0.001 |
| Urea, ref = < 30 mmol/L | 876 (57.1%) | 230 (42.7%) | 646 (65.0%) | < 0.001 |
| Potassium < 5 ref | 414 (26.8%) | 93 (17.0%) | 321 (32.2%) | < 0.001 |
| Bicarbonate ref = < 15 mmol/L | 1,048 (89.3%) | 393 (97.5%) | 655 (85.1%) | < 0.001 |
| Ionized calcium ≥ 1.15 mmol/L | 769 (51.2%) | 331 (62.0%) | 438 (45.3%) | < 0.001 |
| Phosphate ≥ 2.0 mmol/L | 654 (44.2%) | 171 (32.0%) | 483 (51.2%) | < 0.001 |
| Pulmonary stasis | 126 ( 8.2%) | 22 ( 4.0%) | 104 (10.5%) | < 0.001 |
| Dyspnea | 70 ( 4.5%) | 18 ( 3.3%) | 52 ( 5.2%) | 0.075 |
| Cerebral symptoms | 16 ( 1.0%) | 1 ( 0.2%) | 15 ( 1.5%) | 0.014 |
| Edema | 117 ( 7.6%) | 39 ( 7.1%) | 78 ( 7.9%) | 0.58 |
| Cardiac symptoms | 36 ( 2.3%) | 14 ( 2.5%) | 22 ( 2.2%) | 0.68 |
| Fatigue | 293 (19.0%) | 128 (23.2%) | 165 (16.6%) | 0.001 |
| Anorexia | 227 (14.7%) | 104 (18.9%) | 123 (12.4%) | < 0.001 |
| 0 – 3 months, n(%) | 108(23.90) | 23(14.11) | 85(29.42) | 0.001 |
| 3 – 6 months, n(%) | 78(18.86) | 22(14.15) | 56(21.37) | 0.12 |
| 6 – 9 months, n(%) | 68(17.96) | 27(19.59) | 41(17.96) | 0.56 |
| 9 – 12 months, n(%) | 53(15.43) | 20(16.10) | 33(15.02) | 0.80 |
| 0 – 12 months, n(%) | 307(19.33) | 92 (15.95) | 215(21.26) | 0.02 |
Data are presented as n (%) for categorial measures and median (IQR, interquartile range) for continuous variables
aeGFR loss > 1 ml/min1.73m2/month during 3 to 0 months prior to DI /month
bn (%), Number of deaths (deaths per 100 patient-years for each interval)
Fig. 1Kaplan Meier curves showing relationship of initial dialysis treatment (in-centre HD or PD) with first year all-cause mortality among 1580 patients starting on dialysis
Fig. 2Kaplan Meier curves showing relationship of initial dialysis treatment with first year all-cause mortality among 1580 patients starting dialysis
Fig. 3Kaplan Meier curves showing relationship between first year all-cause mortality and cause of initial modality choice among 1580 patients starting dialysis. At one year, mortality was highest (> 50%) among patients with Physical PD contraindication (n = 71) and patients with Other contraindications (n = 142); intermediary high (20–30%) for the categories PD not offered (n = 106), Mental PD contraindication (n = 80) and HD not possible (n = 46); and, lowest (15–20%) for patients with “free choice” of PD (n = 654) or HD (n = 368) and patients with Abdominal PD contraindication (n = 113)
Fig. 4Forest plot showing significant associations of factors with first-year all-cause mortality risk among 1580 patients starting dialysis in three separate models and a combined model including factors with significant associations to mortality in the three separate models. Survival was analysed by a flexible parametric model with stpm2 command. Results are expressed as hazard ratios for all-cause mortality with 95% confidence interval. All models were adjusted for age, sex, renal diagnosis, and presence of comorbidity. For cause of choice, reference was "HD free choice"