| Literature DB >> 31119751 |
Marie Pavlusova1,2, Jiri Jarkovsky3, Klara Benesova3, Jiri Vitovec2,4, Ales Linhart5, Petr Widimsky6, Lenka Spinarova2,4, Kamil Zeman7, Jan Belohlavek5, Filip Malek8, Marian Felsoci1,2, Jiri Kettner9, Petr Ostadal8, Cestmir Cihalik10, Jiri Spac2,11, Hikmet Al-Hiti9, Marian Fedorco10, Richard Fojt6, Andreas Kruger8, Josef Malek12, Tereza Mikusova4, Zdenek Monhart13, Stanislava Bohacova14, Lidka Pohludkova7, Filip Rohac6, Jan Vaclavik10, Dagmar Vondrakova8, Klaudia Vyskocilova4, Miroslav Bambuch14, Gabriela Dostalova5, Stepan Havranek5, Ivana Svobodová3, Ladislav Dusek3, Jindrich Spinar1,2, Roman Miklik1,15, Jiri Parenica1,2.
Abstract
BACKGROUND: Hyperuricemia is associated with a poorer prognosis in heart failure (HF) patients. Benefits of hyperuricemia treatment with allopurinol have not yet been confirmed in clinical practice. The aim of our work was to assess the benefit of allopurinol treatment in a large cohort of HF patients.Entities:
Keywords: AHEAD; acute heart failure; allopurinol
Mesh:
Substances:
Year: 2019 PMID: 31119751 PMCID: PMC6671780 DOI: 10.1002/clc.23197
Source DB: PubMed Journal: Clin Cardiol ISSN: 0160-9289 Impact factor: 2.882
Figure 1Flow chart of data analysis
Patient characteristics before propensity score matching
| Total | No hyperuricemia | Hyperuricemia, treated | Hyperuricemia, untreated |
| |
|---|---|---|---|---|---|
| No. of patients | 3160 | 1785 | 793 | 582 | |
| Age | 73 (64; 80) | 73 (64; 80) | 73 (65; 80) | 74 (64; 80) | 0.657 |
| Sex: woman | 1295 (41.0%) | 783 (43.9%) | 286 (36.1%) | 226 (38.8%) |
|
| BMI | 28 (25; 32) | 28 (25; 31) | 29 (26; 34) | 29 (25; 32) |
|
| SBP | 140 (120; 160) | 140 (120; 160) | 140 (120; 160) | 140 (110; 160) |
|
| EF (%) | 38 (27; 50) | 40 (30; 50) | 35 (25; 50) | 35 (25; 49) |
|
| eGFR (CKDEPI) | 53 (38; 70) | 60 (46; 77) | 44 (30; 60) | 43 (31; 57) |
|
| Hemoglobin (g/L) | 133 (118; 145) | 134 (121; 146) | 130 (114; 143) | 132 (115; 145) |
|
| Uric acid (μmol/L) | 413 (330; 506) | 370 (302; 428) | 503 (385; 604) | 563 (520; 626) |
|
| NT‐proBNP (pg/mL) | 4558 (2337; 9353) | 3763 (1911; 8076) | 5263 (3075; 9101) | 6414 (2974; 12 728) |
|
| Killip class – III + IV | 829 (26.2%) | 473 (26.5%) | 164 (20.7%) | 192 (33.0%) |
|
| Atrial fibrillation | 961 (30.4%) | 477 (26.7%) | 296 (37.3%) | 188 (32.3%) |
|
| Diabetes mellitus | 1449 (45.9%) | 729 (40.8%) | 420 (53.0%) | 300 (51.5%) |
|
| History of CAD | 1880 (59.5%) | 1140 (63.9%) | 409 (51.6%) | 331 (56.9%) |
|
| ACEIs/ARBs | 2612 (82.7%) | 1502 (84.1%) | 664 (83.7%) | 446 (76.6%) |
|
| Beta‐blockers | 2561 (81.0%) | 1467 (82.2%) | 653 (82.3%) | 441 (75.8%) |
|
| Diuretics | 2699 (85.4%) | 1433 (80.3%) | 752 (94.8%) | 514 (88.3%) |
|
Note: Continuous variables are described by median values (IQR); categorical variables are described by absolute and relative frequencies. P‐value of Kruskal‐Wallis test for continuous variables and P‐value of the Fisher's exact test for categorical variables are reported for the comparison of patient characteristics according to the presence of hyperuricemia and its treatment. NT‐proBNP levels were only available in about 30% of patients.
Abbreviations: ACEIs, angiotensin‐converting enzyme inhibitors; ARBs, angiotensin receptor blockers; BMI, body mass index; CAD, coronary artery disease; EF, ejection fraction; eGFR, estimated glomerular filtration rate; SBP, systolic blood pressure.
P values of less than 0.05 (in bold) are statistically significant.
Figure 2Kaplan‐Meier estimate of 5‐year overall survival in patients with acute heart failure according to hyperuricemia and its treatment (before propensity score matching)
Patient characteristics after propensity score matching
| Total | No hyperuricemia | Hyperuricemia, treated | Hyperuricemia, untreated |
| |
|---|---|---|---|---|---|
| No. of patients | 1194 | 398 | 398 | 398 | |
| Age | 73 (65; 80) | 73 (65; 79) | 73 (65; 81) | 73 (65; 80) | .641 |
| Sex: woman | 441 (36.9%) | 147 (36.9%) | 147 (36.9%) | 147 (36.9%) | 1.000 |
| BMI | 29 (26; 33) | 29 (26; 33) | 29 (26; 33) | 29 (26; 32) | .742 |
| SBP | 140 (115; 160) | 135 (115; 160) | 140 (120; 160) | 140 (111; 160) | .609 |
| EF (%) | 35 (25; 47) | 35 (25; 45) | 35 (25; 50) | 35 (25; 50) | .553 |
| eGFR (CKDEPI) | 46 (34; 61) | 48 (36; 61) | 46 (32; 62) | 43 (33; 59) | .075 |
| Hemoglobin (g/L) | 132 (116; 145) | 132 (116; 145) | 131 (116; 145) | 132 (117; 144) | .990 |
| Uric acid (μmol/L) | 468 (372; 565) | 389 (322; 444) | 484 (373; 601) | 560 (519; 625) |
|
| NT‐proBNP (pg/mL) | 5537 (2740; 10 915) | 4867 (2402; 12 036) | 4993 (3083; 8776) | 6323 (2883; 11 918) | .642 |
| Killip class – III + IV | 328 (27.5%) | 115 (28.9%) | 100 (25.1%) | 113 (28.4%) | .435 |
| Atrial fibrillation | 390 (32.7%) | 125 (31.4%) | 140 (35.2%) | 125 (31.4%) | .435 |
| Diabetes mellitus | 618 (51.8%) | 199 (50.0%) | 212 (53.3%) | 207 (52.0%) | .658 |
| History of CAD | 679 (56.9%) | 225 (56.5%) | 224 (56.3%) | 230 (57.8%) | .904 |
| ACEIs/ARBs | 986 (82.6%) | 330 (82.9%) | 334 (83.9%) | 322 (80.9%) | .523 |
| Beta‐blockers | 993 (83.2%) | 337 (84.7%) | 331 (83.2%) | 325 (81.7%) | .550 |
| Diuretics | 1106 (92.6%) | 366 (92.0%) | 371 (93.2%) | 369 (92.7%) | .809 |
Note: Continuous variables are described by median values (IQR); categorical variables are described by absolute and relative frequencies. P‐value of Kruskal‐Wallis test for continuous variables and P‐value of the Fisher's exact test for categorical variables are reported for the comparison of patient characteristics according to the presence of hyperuricemia and its treatment. NT‐proBNP levels were only available in about 30% of patients.
Abbreviations: ACEIs, angiotensin‐converting enzyme inhibitors, ARBs, angiotensin receptor blockers, BMI, body mass index, CAD, coronary artery disease, EF, ejection fraction, eGFR, estimated glomerular filtration rate, SBP, systolic blood pressure.
P values of less than 0.05 (in bold) are statistically significant.
Figure 3Kaplan‐Meier estimate of 5‐year overall survival in patients with acute heart failure according to hyperuricemia and its treatment (after propensity score matching)