| Literature DB >> 29667759 |
Marco Trevisan1, Pietro de Deco2, Hairong Xu3, Marie Evans4, Bengt Lindholm4, Rino Bellocco1,2, Peter Barany4, Tomas Jernberg5, Lars H Lund6, Juan J Carrero1.
Abstract
BACKGROUND: Concerns for hyperkalaemia limit the use of mineralocorticoid receptor antagonists (MRAs). The frequency of MRA-associated hyperkalaemia in real-world settings and the extent of subsequent MRA discontinuation are poorly quantified. METHODS ANDEntities:
Keywords: Adverse drug events; Heart failure; Renin-angiotensin-aldosterone system inhibitors; Spironolactone
Mesh:
Substances:
Year: 2018 PMID: 29667759 PMCID: PMC6607478 DOI: 10.1002/ejhf.1199
Source DB: PubMed Journal: Eur J Heart Fail ISSN: 1388-9842 Impact factor: 15.534
General characteristics of new users of mineralocorticoid receptor antagonists in the region of Stockholm, Sweden, during 2007–2010
|
| 13 726 |
| Spironolactone | 13 622 (99.2) |
| Eplerenone | 110 (0.8) |
| Demographics and laboratory values at therapy initiation | |
| Age (years) | 73 (62–82) |
| <45 years | 682 (4.9) |
| 45–65 years | 3403 (24.8) |
| >65–75 years | 3245 (23.6) |
| >75 years | 6396 (46.6) |
| Women | 7291 (53.1) |
| eGFR (mL/min/1.73 m2) | 76.03 (57.9–90.6) |
| >60 mL/min/1.73 m2 | 9933 (72.4) |
| 45–60 mL/min/1.73 m2 | 2264 (16.5) |
| 30–44 mL/min/1.73 m2 | 1186 (8.6) |
| <30 mL/min/1.73 m2 | 343 (2.5) |
| Potassium (mmol/L) | 3.9 (3.6–4.2) |
| Co‐morbidities | |
| Myocardial infarction | 2472 (18.0) |
| Hypertension | 8845 (64.4) |
| Heart failure | 6302 (45.9) |
| Peripheral vascular disease | 1504 (10.9) |
| Cerebrovascular disease | 2106 (15.3) |
| Diabetes mellitus | 3438 (25.1) |
| Concomitant drug use | |
| ACEi | 5203 (37.9) |
| ARBs | 3782 (27.6) |
| Beta‐blockers | 8587 (62.6) |
| Thiazide/loop diuretics | 9277 (67.6) |
| NSAIDs | 2443 (17.8) |
| Other blood pressure‐lowering drugs | 4248 (30.9) |
Values are expressed as counts (%), or median (interquartile range).
ACEi, angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; eGFR, estimated glomerular filtration rate; NSAID, non‐steroidal anti‐inflammatory drug.
Figure 1Proportion of hyperkalaemic events overall and in the subpopulation with heart failure (A) and time to event distribution (B) during 1 year from mineralocorticoid receptor antagonist initiation. In panel A, any hyperkalaemia was defined as K+ > 5.0 mmol/L; mild hyperkalaemia was defined as K+ > 5.0–5.5 mmol/L; moderate/severe hyperkalaemia was defined as K+ > 5.5 mmol/L. Please note that mild and moderate/severe events are non‐exclusive and a patient can experience both during observation. ‘On‐treatment’ events excluded those hyperkalaemias that occurred after pill supply (plus 30‐day lag phase) was exhausted. Panel B represents the time distribution to any hyperkalaemia (K+ > 5.0 mmol/L).
Baseline predictors of hyperkalaemia risk within 1 year among new users of mineralocorticoid receptor antagonists, overall and by event severity
| Variable |
| ||
|---|---|---|---|
| Any hyperkalaemia (K+ > 5.0 mmol/L) | Mild hyperkalaemia (K+ 5.0–5.5 mmol/L) |
| |
| Age < 45 years | Ref. | Ref. | Ref. |
| Age 45–64 years | 1.56 (1.12–2.16) | 1.62 (1.12–2.33) | 1.39 (0.82–2.37) |
| Age 65–74 years | 1.75 (1.26–2.42) | 1.79 (1.24–2.58) | 1.51 (0.88–2.56) |
| Age > 74 years | 2.00 (1.45–2.76) | 2.11 (1.47–3.03) | 1.57 (0.93–2.66) |
| Women | 0.79 (0.73–0.86) | 0.83 (0.76–0.91) | 0.73 (0.64–0.83) |
| eGFR >60 mL/min/1.73 m2 | Ref. | Ref. | Ref. |
| eGFR 45–60 mL/min/1.73 m2 | 1.49 (1.34–1.65) | 1.45 (1.29–1.62) | 1.73 (1.46–2.04) |
| eGFR 30–45 mL/min/1.73 m2 | 2.08 (1.84–2.33) | 1.89 (1.66–2.16) | 2.61 (2.18–3.14) |
| eGFR <30 mL/min/1.73 m2 | 2.51 (2.09–3.02) | 1.96 (1.58–2.44) | 4.03 (3.12–5.19) |
| Potassium <4.0 mmol/L | 0.69 (0.63–0.75) | 0.70 (0.64–0.76) | 0.68 (0.60–0.78) |
| Potassium 4.0–5.0 mmol/L | Ref. | Ref. | Ref. |
| Potassium >5.0 mmol/L | 2.78 (2.17–3.58) | 2.33 (1.75–3.11) | 2.92 (2.06–4.12) |
| Myocardial infarction | 1.00 (0.90–1.10) | 1.00 (0.90–1.11) | 0.96 (0.82–1.11) |
| Peripheral vascular disease | 1.19 (1.07–1.32) | 1.18 (1.04–1.33) | 1.34 (1.14–1.58) |
| Cerebrovascular disease | 0.96 (0.87–1.06) | 1.03 (0.92–1.16) | 0.84 (0.71–0.99) |
| Heart failure | 1.29 (1.17–1.43) | 1.26 (1.13–1.41) | 1.41 (1.19–1.66) |
| Diabetes mellitus | 1.63 (1.50–1.77) | 1.60 (1.46–1.76) | 1.86 (1.63–2.13) |
| Hypertension | 0.95 (0.86–1.04) | 0.92 (0.83–1.02) | 0.97 (0.84–1.13) |
| ACEi | 1.54 (1.41–1.69) | 1.56 (1.42–1.73) | 1.68 (1.46–1.95) |
| ARBs | 1.17 (1.06–1.28) | 1.16 (1.04–1.28) | 1.27 (1.09–1.48) |
| Beta‐blockers | 1.12 (1.02–1.23) | 1.12 (1.01–1.25) | 1.19 (1.01–1.40) |
| Thiazide/loop diuretics | 1.52 (1.36–1.70) | 1.51 (1.33–1.70) | 1.48 (1.23–1.78) |
| NSAIDs | 1.10 (0.99–1.22) | 1.13 (1.01–1.27) | 1.09 (0.92–1.30) |
| Other blood pressure‐lowering drugs | 0.93 (0.85–1.01) | 0.97 (0.88–1.07) | 0.83 (0.72–0.96) |
ACEi, angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; eGFR, estimated glomerular filtration rate; NSAID, non‐steroidal anti‐inflammatory drug.
Figure 2Distribution of prescribed spironolactone dosages at index hyperkalaemia (A) and in relation to kidney function (B). eGFR, estimated glomerular filtration rate.
Matrix of drug prescription patterns after hyperkalaemia overall, by event severity and by time since therapy initiation
|
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|---|---|---|---|---|---|
|
|
|
|
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| MRA continuation | 934 (53%) | 731 (57%) | 203 (42%) | 535 (49%) | 399 (59%) |
| Same dose | 842 (90%) | 668 (91%) | 174 (86%) | 475 (89%) | 367 (92%) |
| Reduced dose | 92 (10%) | 63 (9%) | 29 (14%) | 60 (11%) | 32 (8%) |
| MRA cessation | 827 (47%) | 546 (43%) | 281 (58%) | 549 (51%) | 278 (41%) |
| Discontinuation of ACEi/ARBs | 282 (23%) | 191 (22%) | 91 (26.8%) | 194 (25%) | 88 (20%) |
| Prescription of new diuretics | 255 (45%) | 171 (42%) | 84 (53.2%) | 133 (47%) | 122 (44%) |
| Prescription of new SPS | 28 (1.6%) | 10 (0.8%) | 18 (3.7%) | 19 (1.8%) | 9 (1.3%) |
ACEi, angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; SPS, sodium polystyrene sulfonate.
Proportions based on the number of individuals that were consuming ACEi/ARBs at time of event (n = 1220).
Proportions based on the number of individuals not consuming diuretics at time of event (n = 562).