| Literature DB >> 32762673 |
Jo-Yen Chao1,2, Chung-Yi Li3, Ming-Cheng Wang1,2, Yea-Huei Kao Yang4.
Abstract
BACKGROUND: Hemodialysis patients have a high risk of mortality. The most common causes of death are cardiovascular disease and infection. The potential hazard or benefit associated with vitamin D use and cardiovascular or infection outcome is poorly characterized.Entities:
Keywords: Activated vitamin D; Acute myocardial infarction; Amputation; Competing risk analysis; Death; Hemodialysis; Infection; Ischemic stroke
Year: 2020 PMID: 32762673 PMCID: PMC7409709 DOI: 10.1186/s12882-020-01988-2
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Baseline characteristics of activated vitamin D users versus non-users according to status by landmark time
| 8151 (15.5) | 44,606 (84.5) | ||
| 58.9 (14.1) | 62.5 (13.3) | 0.26 | |
| 2847 (34.9) | 10,949 (24.6) | 0.25 | |
| 2128 (26.1) | 11,653 (26.1) | ||
| 1749 (21.5) | 11,325 (25.4) | ||
| 1427 (17.5) | 10,679 (23.9) | ||
| 3680 (45.2) | 22,619 (50.7) | 0.11 | |
| 3327 (40.8) | 26,616 (59.7) | 0.38 | |
| 2200 (27.0) | 15,195 (34.1) | 0.15 | |
| 1932 (23.7) | 13,868 (31.1) | 0.17 | |
| 259 (3.2) | 1509 (3.4) | 0.01 | |
| 774 (9.5) | 7095 (15.9) | 0.19 | |
| 14 (0.2) | 128 (0.3) | 0.02 | |
| 176 (2.2) | 1021 (2.3) | < 0.01 | |
| 1344 (16.5) | 8023 (18.0) | 0.04 | |
| 10 (0.1) | 56 (0.1) | < 0.01 | |
| 1001 (12.3) | 5353 (12.0) | < 0.01 | |
| 0.15 | |||
| 6372 (78.2) | 34,240 (76.7) | ||
| 617 (7.6) | 4308 (9.7) | ||
| 116 (1.4) | 1097 (2.5) | ||
| 539 (6.6) | 3219 (7.2) | ||
| 507 (6.2) | 1742 (3.9) | ||
| 0.42 | |||
| 1683 (20.7) | 4006 (8.9) | ||
| 2499 (30.7) | 10,462 (23.5) | ||
| 1267 (15.5) | 8777 (19.7) | ||
| 2702 (33.1) | 21,361 (47.9) | ||
| 0.35 | |||
| 4293 (52.7) | 15,976 (35.8) | ||
| 1048 (12.9) | 6453 (14.5) | ||
| 108 (1.3) | 816 (1.8) | ||
| 2702 (33.1) | 21,361 (47.9) | ||
| 3929 (48.2) | 24,796 (55.6) | 0.15 | |
| 2324 (28.5) | 15,600 (35.0) | 0.14 | |
| 154 (1.9) | 1146 (2.6) | 0.05 | |
| 143 (1.8) | 988 (2.2) | 0.03 | |
| 1373 (16.8) | 9535 (21.4) | 0.12 | |
| 1615 (19.8) | 12,898 (28.9) | 0.21 | |
| 1812 (22.2) | 16,003 (35.9) | 0.30 | |
| 179 (2.2) | 1857 (4.2) | 0.11 | |
| 917 (11.3) | 8041 (18.0) | 0.19 | |
| 148 (1.8) | 1478 (3.3) | 0.09 | |
| 81 (1.0) | 684 (1.5) | 0.05 | |
| 2 (0.02) | 5 (0.01) | 0.01 | |
| 485 (6.0) | 3938 (8.8) | 0.11 | |
| 3972 (48.7) | 23,726 (53.2) | 0.09 | |
| 4173 (51.2) | 24,243 (54.4) | 0.06 | |
| 5737 (70.4) | 34,377 (77.1) | 0.15 | |
| 1887 (23.2) | 10,133 (22.7) | 0.01 | |
| 5027 (61.7) | 20,321 (45.6) | 0.32 | |
Note:
(1) The landmark time is the 360th day of initiation of hemodialysis
(2) Values for categorical variables are given as numbers (percent); for continuous variables, as means (standard deviation)
Abbreviations: DM, diabetes mellitus; CHF, congestive heart failure; MI, myocardial infarction; PVD, peripheral vascular disease; CVD, cerebrovascular disease; COPD, chronic obstructive pulmonary disease; CTD, connective tissue disease including rheumatoid arthritis, systemic lupus erythematosus, etc.; PUD, peptic ulcer disease; Chronic liver diseases: chronic viral hepatitis, cirrhosis and its complications; AVF: arteriovenous fistula; AVG: arteriovenous graft
OAD, oral antidiabetic drugs; TZD, thiazolidinediones; DPP-4 inhibitors, dipeptidyl peptidase 4 inhibitors; ACEI / ARB, angiotensin converting enzyme inhibitors/angiotensin II receptor blockers; ESA, erythropoiesis-stimulating agents; Ca-based P-binders, calcium-based phosphate binders
* Standardized difference (d): statistically significantly different between two comparison groups if d > 0.10
Incidence rates of acute myocardial infarction, ischemic stroke, amputation, and hospitalization for infection after landmark date (the 360th day) and competing events of death for vitamin D users versus non-users, respectively
| 137,639.35 | 2364 (5.4) | 17.2 | 16,312 (37.5) | 118.5 | 43,495 | |
| 28,378.86 | 359 (4.5) | 12.6 | 2340 (29.3) | 82.5 | 8020 | |
| 166,018.21 | 2723 (5.3) | 16.4 | 18,652 (36.2) | 112.3 | 51,515 | |
| 135,591.67 | 3045 (7.5) | 22.5 | 15,936 (39.4) | 117.5 | 40,407 | |
| 28,133.93 | 415 (5.2) | 14.8 | 2312 (28.8) | 82.2 | 8022 | |
| 163,725.60 | 3460 (6.7) | 21.1 | 18,248 (35.5) | 111.5 | 51,429 | |
| 138,462.73 | 2370 (5.4) | 17.1 | 16,629 (37.7) | 120.1 | 44,105 | |
| 28,735.85 | 253 (3.1) | 8.8 | 2426 (29.9) | 84.4 | 8109 | |
| 167,198.58 | 2623 (5.0) | 15.7 | 19,055 (36.5) | 113.9 | 52,214 | |
| 97,982.67 | 19,178 (50.4) | 195.7 | 4513 (11.8) | 46.1 | 38,075 | |
| 21,014.29 | 2904 (41.0) | 138.2 | 759 (10.7) | 36.1 | 7079 | |
| 118,996.96 | 22,082 (48.9) | 185.5 | 5272 (11.7) | 44.3 | 45,154 | |
aNote: Death is a competing event that precludes the occurrence of events of interest, including AMI, ischemic stroke, amputation, and infection, respectively
Abbreviations: AMI, acute myocardial infarction; p-y, person-year
Fig. 1Cumulative incidence curves of acute myocardial infarction (AMI), ischemic stroke, amputation procedure, and hospitalizations for infection for vitamin D users compared with non-users. a AMI (left upper panel) b Ischemic stroke (right upper panel) c amputation (left lower panel) d infection (right lower panel). Taking death as competing events into consideration, vitamin D users have lower cumulative incidences of AMI, ischemic stroke, amputation, and infection, compared with non-users
The hazard of acute myocardial infarction (AMI), ischemic stroke, amputation, and hospitalization for infection for vitamin D users compared with non-users in incident hemodialysis patients using competing risk analysis with subdistribution hazard model and cause-specific hazard regression models
| 0.82 (0.73–0.91) | 0.73 (0.66–0.81) | 0.57 (0.50–0.65) | 0.75 (0.72–0.78) | |
| 0.89 (0.79–0.99) | 0.78 (0.70–0.87) | 0.58 (0.51–0.66) | 0.82 (0.78–0.85) | |
| 1.03 (0.92–1.15) | 0.91 (0.82–1.01) | 0.82 (0.72–0.95) | 0.90 (0.87–0.94) | |
| 1.04 (0.93–1.16) | 0.92 (0.83–1.02) | 0.84 (0.74–0.96) | 0.91 (0.87–0.94) | |
| 1.04 (0.93–1.16) | 0.91 (0.82–1.01) | 0.84 (0.74–0.96) | 0.91 (0.88–0.95) | |
| 1.01 (0.90–1.13) | 0.91 (0.82–1.01) | 0.84 (0.74–0.96) | 0.90 (0.87–0.94) | |
| 1.01 (0.90–1.13) | 0.90 (0.81–1.01) | 0.84 (0.74–0.96) | 0.91 (0.88–0.95) | |
| 0.74 (0.66–0.83) | 0.66 (0.60–0.73) | 0.52 (0.45–0.59) | 0.72 (0.69–0.75) | |
| 0.83 (0.74–0.92) | 0.73 (0.66–0.81) | 0.55 (0.48–0.62) | 0.80 (0.77–0.83) | |
| 0.99 (0.89–1.12) | 0.89 (0.80–0.98) | 0.79 (0.70–0.90) | 0.90 (0.87–0.94) | |
| 1.01 (0.90–1.13) | 0.90 (0.81–0.99) | 0.81 (0.71–0.93) | 0.91 (0.88–0.95) | |
| 1.01 (0.90–1.13) | 0.89 (0.80–0.99) | 0.82 (0.72–0.93) | 0.92 (0.88–0.95) | |
| 0.99 (0.88–1.11) | 0.90 (0.81–0.99) | 0.82 (0.72–0.94) | 0.91 (0.87–0.95) | |
| 0.99 (0.89–1.12) | 0.90 (0.81–0.99) | 0.83 (0.73–0.94) | 0.92 (0.88–0.96) |
Model 1: unadjusted crude SHR. Model 2: adjusted for age and sex. Model 3: model 2 plus comorbidities
Model 4: model 3 plus medication use. Model 5: model 4 plus vascular access type. Model 6: model 5 plus hospital and urbanization levels
Model 7: model 6 plus use of calcium-based phosphate binders
SHR: subdistribution hazard ratio. CI: confidence interval. CSHR: cause-specific hazard ratio
Fig. 2Forest plot shows the associated subdistribution hazard ratios of activated vitamin D users compared with non-users on the outcomes of interest (amputation), according to baseline characteristics. Abbreviations: DM, diabetes mellitus; CHF, congestive heart failure; MI, myocardial infarction; CVD, cerebrovascular disease; PVD, peripheral vascular disease. SHR, subdistribution hazard ratio; CI, confidence interval
Fig. 3Forest plot shows the associated subdistribution hazard ratios of activated vitamin D users compared with non-users on the outcomes of interest (infection), according to baseline characteristics. Abbreviations: DM, diabetes mellitus; CHF, congestive heart failure; MI, myocardial infarction; CVD, cerebrovascular disease; PVD, peripheral vascular disease. SHR, subdistribution hazard ratio; CI, confidence interval
Multivariate adjusted competing risk model for events of amputation and infection according to dosage of activated vitamin D based on trajectory analysis
| 45,069 (86.3) | 2410 (5.4) | 17,019 (37.7) | Reference | |
| 6820 (13.1) | 210 (3.1) | 1963 (28.8) | 0.83 (0.72–0.96) | |
| 325 (0.6) | 3 (0.9) | 73 (22.5) | 0.52 (0.17–1.63) | |
| 52,214 (100) | 2623 (5.0) | 19,055 (36.5) | 0.84 (0.74–0.96) | |
| 38,860 (86.1) | 19,586 (50.4) | 4614 (11.9) | Reference | |
| 5997 (13.3) | 2406 (40.1) | 628 (10.5) | 0.90 (0.86–0.94) | |
| 297 (0.7) | 90 (30.3) | 30 (10.1) | 0.69 (0.57–0.85) | |
| 45,154 (100) | 22,082 (48.9) | 5272 (11.7) | 0.91 (0.88–0.95) | |
The competing risk model (Fine-Gray) was adjusted by covariates including age, sex, vascular access type, baseline comorbidities, and medications
Abbreviations: SHR subdistribution hazard ratio, CI confidence intervals