| Literature DB >> 27895935 |
Carlos R Franco Palacios1, Pankaj Goyal2, Amanda M Thompson3, Brent Deschaine4.
Abstract
BACKGROUND: LVH is highly prevalent in patients with CKD and is independently associated with subsequent cardiovascular events. We hypothesized that adding systolic blood pressure values to LVH might differentiate different subgroups of patients at higher risk of cardiovascular events (CVE) and other adverse outcomes.Entities:
Keywords: Cardiovascular disease; Chronic kidney disease; Elderly; Hypertension; LVH; Outcomes
Year: 2016 PMID: 27895935 PMCID: PMC5120495 DOI: 10.1186/s40885-016-0056-7
Source DB: PubMed Journal: Clin Hypertens ISSN: 2056-5909
Baseline characteristics
| SBP < 130 and LVH | SBP ≥130 and LVH | SBP < 130 and no LVH | SBP ≥130 and no LVH |
| |
|---|---|---|---|---|---|
| Age, years, mean ± SD | 76 ± 7.2 | 77.4 ± 8.9 | 72.8 ± 8.2 | 72.9 ± 8.2 | 0.002 |
| Caucasian, % | 31 (93.9) | 65 (98.5) | 67 (98.5) | 71 (93.4) | 0.38 |
| Men, % | 15 (45.4) | 33 (50) | 30 (44.1) | 36 (47.4) | 0.92 |
| Obesity, % | 23 (69.7) | 31 (47) | 38 (55.8) | 38 (50) | 0.15 |
| Cancer, % | 7 (21.2) | 24 (36.4) | 13 (19.2) | 14 (18.4) | 0.05 |
| Ejection fraction, mean ± SD* | 61 ± 7.2 | 60 ± 7.7 | 58 ± 7.8 | 61 ± 8.8 | 0.35 |
| CAD, % | 12 (36.3) | 22 (33.3) | 21 (30.9) | 11 (14.5) | 0.02 |
| CVA, % | 1 [3] | 7 (10.6) | 4 (5.9) | 5 (6.6) | 0.51 |
| DM, % | 18 (54.5) | 32 (48.5) | 32 (47) | 38 (50) | 0.91 |
| HTN, % | 29 (87.9) | 62 (93.9) | 64 (94.1) | 71 (93.4) | 0.71 |
| A fib, % | 8 (24.2) | 11 (16.7) | 9 (13.2) | 10 (13.1) | 0.49 |
| Hyperlipidemia, % | 24 (72.7) | 41 (62.1) | 55 (80.9) | 56 (73.7) | 0.11 |
| Pulmonary disease, % | 10 (30.3) | 16 (24.2) | 13 (19.1) | 22 (28.9) | 0.49 |
| Chronic liver disease, % | 1 [3] | 4 [6] | 5 (7.3) | 2 (2.6) | 0.52 |
| ACEIs, % | 17 (51.5) | 32 (48.5) | 29 (42.6) | 39 (51.3) | 0.73 |
| ARBs, % | 4 (12.1) | 16 (24.2) | 9 (13.2) | 15 (19.7) | 0.29 |
| Calcium channel blockers, % | 7 (21.2) | 29 (43.9) | 21 (30.9) | 35 (46) | 0.03 |
| Beta blockers, % | 21 (63.6) | 46 (69.7) | 38 (55.9) | 35 (46) | 0.03 |
| Thiazide diuretics, % | 13 (39.4) | 29 (43.9) | 29 (42.6) | 34 (44.7) | 0.96 |
| Loop diuretics, % | 11 (33.3) | 21 (31.8) | 19 (27.9) | 24 (31.6) | 0.93 |
| K sparing diuretics, % | 2 [6] | 1 (1.52) | 9 (13.2) | 3 (3.95) | 0.03 |
| Clonidine, % | 0 (0) | 4 [6] | 1 (1.5) | 3 (3.95) | 0.32 |
| Vasodilators, % | 2 [6] | 17 (25.8) | 7 (10.3) | 5 (6.6) | 0.004 |
| SBP mmHg, mean ± SD | 123.9 ± 4.13 | 140.5 ± 8 | 122 ± 5.3 | 139.3 ± 8.3 | <0.0001 |
| DBP mmHg, mean ± SD | 69.7 ± 5.52 | 73.1 ± 7.32 | 70.9 ± 5.4 | 74.7 ± 6.6 | 0.0002 |
| PTH pg/mL, median [IQR] | 59 [35, 83] | 56 [42, 82] | 67 [36, 92] | 65 [45, 96] | 0.81 |
| Hemoglobin g/dL, mean ± SD | 13 ± 1.44 | 12.4 ± 1.89 | 12.7 ± 1.66 | 13 ± 1.84 | 0.13 |
| Phosphorus mg/dL, mean ± SD | 3.35 ± 0.43 | 4 ± 3.28 | 3.46 ± 0.66 | 3.43 ± 0.64 | 0.31 |
| Bicarbonate mEq/L, mean ± SD | 27.9 ± 2.96 | 27.2 ± 2.94 | 26.4 ± 3.32 | 26.9 ± 3.12 | 0.13 |
| 25-Vitamin D ng/mL, median [IQR] | 31.8 [23, 43] | 36.9 [26, 48.7] | 38.7 [21.3, 48.7] | 28.9 [19.8, 48.8] | 0.54 |
| Albumin g/dL, mean ± SD | 4 ± 0.30 | 4 ± 0.31 | 4 ± 0.36 | 4.1 ± 0.32 | 0.36 |
| Baseline GFR, mean ± SD | 48.2 ± 18.1 | 45 ± 18.8 | 47.6 ± 2.3 | 53.3 ± 2.1 | 0.06 |
| Proteinuria, mg/g, median [IQR] | 100 [7, 214] | 100 [46, 303] | 74.4 [8.4, 104] | 100 [16.7, 333] | 0.01 |
IQR interquartile range, GFR glomerular filtration rate (cc/min/BSA), SBP systolic blood pressure, DBP diastolic blood pressure
*EF data was obtained in 146 patients
Primary and secondary outcomes
| SBP < 130 and LVH | SBP ≥130 and LVH | SBP < 130 and no LVH | SBP ≥130 and no LVH |
| |
|---|---|---|---|---|---|
| CVE, % | 7 (21.2) | 25 (37.9) | 7 (10.3) | 8 (10.5) | <0.0001 |
| Death, % | 3 (9) | 5 (7.58) | 4 (5.9) | 1 (1.32) | 0.25 |
| Changes in GFR during follow up (cc/min/BSA) | -5.27 ± 9.48 | -3.57 ± 12.1 | -5 ± 15.4 | -7.7 ± 13.2 | 0.31 |
| ESRD, % | 1 (3) | 4 (6) | 0 | 2 (2.63) | 0.22 |
CVE cardiovascular events, BSA body surface area, ESRD end stage renal disease, GFR glomerular filtration rate
Fig. 1Kaplan-Meier analyses of cardiovascular event-free survival according to LVH and SBP
Multivariate model for cardiovascular events
| HR (95%CI) |
| |
|---|---|---|
| SBP <130 and LVH* | 2.13 (0.71, 6.32) | 0.16 |
| SBP ≥130 and LVH* | 4 (1.75, 10.3) | 0.0007 |
| SBP ≥130 and no LVH* | 1.20 (0.42, 3.51) | 0.72 |
*Using SBP < 130 and no LVH as comparison. Cox models were adjusted for age, CAD, CVA, beta blocker use, vasodilator use, atrial fibrillation, obesity