| Literature DB >> 32256875 |
Ying Bai1,2, Alena Shantsila1, Gregory Y H Lip1,3.
Abstract
BACKGROUND: Patients with atrial fibrillation (AF) and chronic kidney disease represent a high-risk group for thromboembolism and bleeding. AIMS: To explore the relationship between kidney function changes and outcomes of stroke/systemic embolism (SE), major bleeding and all-cause death in anticoagulated AF patients participating in the BOREALIS trial comparing efficacy and safety of once-weekly s.c. idrabiotaparinux to that of warfarin.Entities:
Keywords: all‐cause death; deteriorated CKD‐EPI eGFR change; major bleeding; preserved CKD‐EPI eGFR change; stroke/systemic embolism
Year: 2020 PMID: 32256875 PMCID: PMC7132193 DOI: 10.1002/joa3.12306
Source DB: PubMed Journal: J Arrhythm ISSN: 1880-4276
Baseline Characteristics
| Deteriorated kidney function change | Preserved kidney function change |
| |
|---|---|---|---|
| Age | .55 | ||
| N | 1580 | 1185 | |
| Mean ± SD | 69.36 ± 9.68 | 69.14 ± 9.77 | |
| Sex, N (%) | .55 | ||
| Female | 596 (37.7) | 461 (38.9) | |
| Male | 984 (62.3) | 724 (61.1) | |
| BMI | .67 | ||
| N | 1579 | 1180 | |
| Mean ± SD | 29.98 ± 6.20 | 29.88 ± 5.97 | |
| AF type, N (%) | .3 | ||
| Paroxysmal AF | 446 (28.3) | 304 (25.9) | |
| Persistent AF | 289 (18.3) | 234 (19.9) | |
| Permanent AF | 843 (53.4) | 638 (54.3) | |
| Previous HPT, N (%) | .65 | ||
| Yes | 1480 (93.7) | 1104 (93.2) | |
| No | 100 (6.3) | 81 (6.8) | |
| LV dysfunction, N (%) | .64 | ||
| Yes | 899 (56.9) | 686 (57.9) | |
| No | 680 (43.1) | 499 (42.1) | |
| DM, N (%) | .83 | ||
| Yes | 546 (34.6) | 404 (34.1) | |
| No | 1034 (65.4) | 781 (65.9) | |
| CAD, N (%) | .79 | ||
| Yes | 574 (38.9) | 421 (38.3) | |
| No | 900 (61.1) | 677 (61.7) | |
| Previous stroke, TIA or non‐CNS systemic embolism, N (%) | .24 | ||
| Yes | 501(31.7) | 350 (29.5) | |
| No | 1079 (68.3) | 835 (70.5) | |
| Concomitant‐aspirin, N (%) | .14 | ||
| Yes | 475 (30.1) | 325 (27.4) | |
| No | 1105 (69.9) | 860 (72.6) | |
| Anticoagulation type, N (%) | .88 | ||
| VKA | 793 (50.2) | 591 (49.9) | |
| Idraparinux | 787 (49.8) | 594 (50.1) | |
| Hb | 1.00 | ||
| N | 1564 | 1165 | |
| Mean ± SD | 140.54 ± 16.08 | 142.86 ± 16.05 | |
| Creatinine | <.001 | ||
| N | 1580 | 1185 | |
| Mean ± SD | 89.44 ± 23.29 | 102.25 ± 25.89 | |
| CKD‐EPI eGFR | <.001 | ||
| N | 1580 | 1185 | |
| Mean ± SD | 71.25 ± 18.01 | 61.59 ± 16.93 | |
| ≤30 | 10 (0.6) | 13 (1.1) | |
| 30‐60 | 432 (27.4) | 591 (49.9) | |
| ≥60 | 1138 (72.0) | 581 (49.0) | |
| CHA2DS2‐VASc score, N (%) | .42 | ||
| 0‐1 | 1 (0.06) | 3 (0.3) | |
| 2 | 156 (9.9) | 110 (9.3) | |
| 3 | 362 (22.9) | 271 (22.9) | |
| 4 | 434 (27.5) | 353 (29.8) | |
| 5 | 327 (20.7) | 255 (21.5) | |
| ≥6 | 299 (18.9) | 193 (16.3) | |
| HAS‐BLED score, N (%) | .04 | ||
| 0 | 154 (9.8) | 129 (10.9) | |
| 1 | 504 (31.9) | 427 (36.1) | |
| 2 | 566 (35.8) | 417 (35.2) | |
| 3 | 274 (17.4) | 164 (13.9) | |
| ≥4 | 81 (5.1) | 47 (4.0) |
Categorical variables were presented as number (%); Continuous variables were presented as mean ± standard deviation (SD).
CHA2DS2‐VASc, congestive heart failure, 1 point; hypertension, 1 point; age ≥ 75 years, 2 points; diabetes mellitus,1 point; stroke, 2 points; vascular disease, 1 point; age from 65 to 74 years, 1 point; and female sex, 1 point. HAS‐BLED, uncontrolled hypertension (>160 mmHg systolic), 1 point; abnormal renal function, 1 point; or abnormal liver function, 1 point; Prior history of stroke, 1 point; Prior major bleeding or predisposition to bleeding, 1 point; labile INR, 1 point; age > 65 years, 1 point; prior Alcohol or Drug Usage History (≥ 8 drinks/week), 1 point; Medication Usage Predisposing to Bleeding: (Antiplatelet agents, NSAIDs), 1 point.
AF, atrial fibrillation; BMI, body mass index; CAD, coronary artery disease; CKD‐EPI eGFR, Chronic Kidney Disease Epidemiology Collaboration estimate glomerular filtration rate; CNS, central nervous system; DM, diabetes mellitus; HPT, hypertension; LV, left ventricular; TIA, transient ischemic attack; VKA, vitamin‐K antagonist.
Multivariate Cox regression analysis
| CKD‐EPI eGFR change | MDRD eGFR change | CRCL change | ||||
|---|---|---|---|---|---|---|
| HR (95% CI) |
| HR (95% CI) |
| HR (95% CI) |
| |
| Stroke/SE | 1.00 (0.97‐1.03) | .95 | 1.01 (0.99‐1.03) | .17 | 1.00 (0.98‐1.03) | .70 |
| Major bleeding | 0.99 (0.96‐1.02) | .49 | 0.99 (0.97‐1.01) | .50 | 1.00 (0.97‐1.02) | .85 |
| All‐cause Death | 0.96 (0.94‐0.98) | <.001 | 0.98 (0.97‐0.99) | <.001 | 0.98 (0.96‐0.99) | .005 |
CKD‐EPI eGFR, Chronic Kidney Disease Epidemiology Collaboration estimate glomerular filtration rate; CRCL, the Cockcroft‐Gault equation; MDRD eGFR, The modification of diet in renal disease estimate glomerular filtration rate; SE, systemic embolism.
Figure 1Restricted cubic spline for (A) stroke and systemic embolism, R 2 = 0.94; (B) major bleeding, R 2= 0.22; (C) all‐cause death, (with kidney function changes ranging from −80 to 40 mL/min) R 2 = 0.995 (D) all‐cause death (with kidney function changes ranging from −40 to 40 mL/min), R 2 = 0.65 with analysis of estimated kidney function changes from baseline to the end of treatment categorized by 10 units with CKD‐EPI
Figure 2Kaplan‐Meier analysis for risk of stroke and systemic embolism, major bleeding, and all‐cause death. (A) stroke/systemic embolism, (log‐rank: P = .30); (B) major bleeding, (log‐rank: P = .76); (C) all‐cause death (log‐rank: P = .04)