Abstract
Objectives
To examine adherence to serum creatinine and potassium monitoring and discontinuation guidelines following initiation of treatment with ACE inhibitors (ACEI) or angiotensin receptor blockers (ARBs); and whether high-risk patients are monitored.
Design
A general practice-based cohort study using electronic health records from the UK Clinical Practice Research Datalink and Hospital Episode Statistics.
Setting
UK primary care, 2004–2014.
Subjects
223 814 new ACEI/ARB users.
Main outcome measures
Proportion of patients with renal function monitoring before and after ACEI/ARB initiation; creatinine increase ≥30% or potassium levels >6 mmol/L at first follow-up monitoring; and treatment discontinuation after such changes. Using logistic regression models, we also examined patient characteristics associated with these biochemical changes, and with follow-up monitoring within the guideline recommendation of 2 weeks after treatment initiation.
Results
10% of patients had neither baseline nor follow-up monitoring of creatinine within 12 months before and 2 months after initiation of an ACEI/ARB, 28% had monitoring only at baseline, 15% only at follow-up, and 47% both at baseline and follow-up. The median period between the most recent baseline monitoring and drug initiation was 40 days (IQR 12–125 days). 34% of patients had baseline creatinine monitoring within 1 month before initiating therapy, but <10% also had the guideline-recommended follow-up test recorded within 2 weeks. Among patients experiencing a creatinine increase ≥30% (n=567, 1.2%) or potassium level >6 mmol/L (n=191, 0.4%), 80% continued treatment. Although patients with prior myocardial infarction, hypertension or baseline potassium >5 mmol/L were at high risk of ≥30% increase in creatinine after ACEI/ARB initiation, there was no evidence that they were more frequently monitored.
Conclusions
Only one-tenth of patients initiating ACEI/ARB therapy receive the guideline-recommended creatinine monitoring. Moreover, the vast majority of the patients fulfilling postinitiation discontinuation criteria for creatinine and potassium increases continue on treatment.
Keywords: NEPHROLOGY, GENERAL MEDICINE (see Internal Medicine)
Strengths and limitations of this study.
This is the largest monitoring study until now, examining both adherence to creatinine and potassium monitoring and discontinuation guidelines following initiation of ACE inhibitors or angiotensin receptor blockers in UK primary care, and whether patients are monitored in accordance with their individual risk profile.
Use of the UK Clinical Practice Research Datalink and Hospital Episode Statistics ensured that the study was population-based and not restricted to specific demographic, hospital or insurance groups.
Blood tests performed in hospital systems were not recorded in the Clinical Practice Research Datalink, but the results were consistent for patients with no recent hospital admissions.
If the recording of creatinine levels was not missing completely at random, the associations between patient characteristics and creatinine increase may have been underestimated.
Introduction
Renin angiotensin system blockade using ACE inhibitors (ACEI) and angiotensin receptor blockers (ARBs) is a mainstay in treatment of hypertension,1 heart failure,2 diabetic microalbuminuria or proteinuric renal diseases,3 and after myocardial infarction.4 However, some patients experience a sudden decline in kidney function when initiating these drugs, presumably due to antagonism of the angiotensin II-mediated efferent arteriolar constriction or impaired kidney excretion of potassium.5 6
The potential impact on kidney function should be evaluated by comparing preinitiation and postinitiation levels of serum creatinine and potassium.7 Discontinuation is recommended if the rise in creatinine exceeds 30% above baseline or if hyperkalaemia develops.8 It is unclear whether these recommendations are routinely followed in clinical practice.9
A few studies have compared baseline and follow-up monitoring results,9 but large studies using contemporary data with reference to current guidelines are lacking, and it is unknown whether patients' individual risk of renal impairment influences their likelihood of being monitored.9 We therefore examined adherence to creatinine and potassium monitoring and treatment discontinuation guidelines following ACEI/ARB initiation in UK primary care, and whether patients are monitored in accordance with their individual risk profile.
Methods
Data sources
We used the UK's Clinical Practice Research Datalink (CPRD) linked to hospital record data from the Hospital Episode Statistics (HES) database. The CPRD database contains primary care electronic health record data from 7% of the UK population (∼15 million patient lives, with ∼8 million currently under follow-up).10 Patients included in the CPRD are largely representative of the UK population in terms of age, sex and ethnicity.10 11 Information recorded in the database includes demographics such as sex and year of birth, the location of the general practice, medical diagnoses (based on ‘Read’ codes), drug prescriptions and a range of routine laboratory test results. HES records cover all hospital admissions for patients covered by the National Health Service (NHS) who receive treatment either from English NHS trusts or independent providers.10 11 Fifty-eight per cent of general practices included in the CPRD have agreed to HES linkage.10 We obtained linked data on socioeconomic status (index of multiple deprivation) based on area of residence.
Monitoring guidelines
Consistent with other international guidelines, the National Institute for Health and Care Excellence (NICE) recommends baseline testing of creatinine when initiating ACEI/ARB therapy in patients with hypertension,1 heart failure,2 myocardial infarction4 or chronic kidney disease (CKD).3 The time interval for baseline testing is not further specified.1–4 Among patients with heart failure, myocardial infarction and CKD, NICE recommends follow-up monitoring within 2 weeks of treatment initiation,2–4 and for patients with myocardial infarction at least annually thereafter.4 A baseline assessment and follow-up test within 2 weeks is also recommended by the UK Renal Association,12 as well as the frequently used online web resource General Practice (GP) Notebook.13 GP Notebook additionally recommends monitoring 1, 3, 6 and 12 months after the first follow-up test.13 NICE recommends not to initiate ACEI/ARBs in patients with a baseline potassium level >5 mmol/L and to discontinue therapy if potassium rises above 6 mmol/L.
ACEI/ARB initiators
We identified a cohort of all HES-linked CPRD patients aged ≥18 years, who initiated ACEI/ARB treatment between 1 January 2004 and 31 March 2014. We did not include earlier calendar periods, as laboratory data before 2004 were incomplete due to interface problems between laboratory reporting software and GP practice management software.14 Also, creatinine testing was incentivised in 2004 with the introduction of the diabetes Quality and Outcomes Framework (QOF) and further in 2006 with the CKD QOF.14 To rule out any potential influence of incomplete data around 2004, we also examined the most recent 5-year calendar period separately in a sensitivity analysis. New users were defined as persons with at least 1 year of continuous registration in the CPRD before their first recorded ACEI/ARB prescription.
Laboratory data
All creatinine test results were extracted from the general practice records of the study population, using creatinine-specific codes in CPRD. Cross-reference was then made to creatinine test results identified from a broad Read code search. Any irrelevant codes were excluded. Renal function testing in the UK includes creatinine and potassium, so it can be inferred that testing frequency is similar to creatinine for potassium. When we conducted analyses related to potassium levels, we repeated the procedure used to identify creatinine levels for potassium test results.
Patient characteristics
We obtained information for all patients on age, sex, calendar period of ACEI/ARB initiation (2004–2008 and 2010–2014), socioeconomic status (quintiles of the 2004 index of multiple deprivation scores), lifestyle factors (smoking, alcohol intake and body mass index), baseline potassium level (≤5 or >5 mmol/L), CKD, cardiovascular comorbidities (heart failure, myocardial infarction, hypertension, peripheral arterial disease and arrhythmia) and diabetes.15 We used algorithms for smoking status, alcohol intake and body mass index based on the most recent records in the CPRD before ACEI/ARB initiation.16 17 As measures of baseline creatinine and potassium levels, we used the single most recent measurement within 12 months before the first ACEI/ARB prescription. We calculated the estimated glomerular filtration rate (eGFR) level from the most recent creatinine measurement and CKD stage from the CKD Epidemiology Collaboration (CKD-EPI) equation.18 Cardiovascular comorbidities and diabetes were identified from both the CPRD and HES based on diagnoses recorded prior to ACEI/ARB initiation. The code lists for all variables are provided in the online supplementary appendix.
bmjopen-2016-012818supp_appendix.pdf (211.2KB, pdf)
Patient involvement
The study included no patient involvement.
Statistical analysis
We described ACEI/ARB users according to patient characteristics, both overall and according to creatinine monitoring status (no baseline or follow-up monitoring, baseline only, follow-up only, and both baseline and follow-up monitoring). Baseline monitoring was defined as a test performed on the date of drug initiation or within either 12 months before (wide interval) or 1 month before initiation (more ideal interval assumed to be driven by planned ACEI/ARB initiation). To accord with the postinitiation monitoring interval recommended from previous trial data, we considered only follow-up monitoring within the first 2 months after drug initiation.8
We calculated the proportion of persons in the total cohort of new users who had baseline and follow-up monitoring (within 1, 3 and 12 months before drug initiation and within 2 weeks, 1 month and 2 months after initiation). We then computed the proportion of persons with both baseline and initial follow-up monitoring within the guideline-recommended interval of 2 weeks following drug initiation.
We repeated the analyses for continuing users, in order to examine adherence to the stricter guideline recommendations for ongoing monitoring (ie, monitoring within 1, 3, 6 and 12 months after the first retest).13 Continuation was defined as ACEI/ARB use beyond 30 days following the monitoring date, that is, when the end date of the first continuous course of therapy was after the date of the first monitoring date plus 30 days (to allow for stockpiling). The end date of each prescription was calculated by adding the prescription duration (total number of tablets prescribed divided by the specified number of tablets per day) to the prescription date. In identifying continuous courses of therapy, we allowed for a 30-day gap between the end date of one prescription and the start of the next consecutive prescription.
In sensitivity analyses, we repeated the analyses (1) extending the follow-up window for the first follow-up monitoring from 2 to 3 weeks to account for minor delays; (2) including only the most recent calendar period (2009–2014) to account for temporal changes in data completeness and quality of care; (3) excluding patients with a hospital admission or discharge date within 1 month before or after their first ACEI/ARB prescription, in order to account for drug initiation and any subsequent renal function tests occurring in the hospital and therefore not captured in the CPRD; (4) focusing on specific patient subgroups (heart failure, myocardial infarction, hypertension, CKD (eGFR<60 mL/min/1.73 m2), peripheral arterial disease and diabetes); and (5) defining drug use continuation as ACEI/ARB use beyond 90 days (instead of 30 days) after the first retest date.
We used the subcohort of patients with both baseline and follow-up monitoring to calculate the proportion of patients with creatinine increases ≥30% or potassium levels >6 mmol/L at the first follow-up monitoring within 2 months after initiation, as well as the proportion of patients continuing treatment despite these contraindications for use.
Finally, we fitted a logistic regression model to identify patient characteristics associated with a severe decline in renal function (creatinine increase ≥30% or potassium level >6 mmol/L) and compared these characteristics with those associated with receiving postinitiation follow-up monitoring within 2 weeks. The model included age, sex, CKD stage, cardiovascular comorbidities, diabetes and baseline potassium level (>5 vs ≤5 mmol/L). In three additional model-based sensitivity analyses, we repeated the analyses (1) excluding patients with a recent hospitalisation (as defined above); (2) omitting baseline potassium from the model to examine the extent of potential overfitting when both baseline potassium and CKD stage were kept in the model; and (3) also adjusting additionally for ethnicity.
All analyses were performed using the STATA 14 statistical software package.
Results
Serum creatinine monitoring before and after ACEI/ARB initiation
We identified 223 814 new users of ACEI/ARB. We compared these patients in four groups: 21 411 (10%) had no baseline or follow-up creatinine tests within 12 months before and 2 months after treatment initiation, 63 359 (28%) had only a baseline test, 33 185 (15%) had only follow-up tests, and 105 859 (47%) had both baseline and follow-up tests (table 1). Median age varied only slightly between the groups (60, 62, 59 and 63 years, respectively) and there were no substantial differences in socioeconomic status, lifestyle factors or peripheral arterial disease. Compared with patients with neither preinitiation nor postinitiation monitoring, patients with both were more likely to have diagnosed hypertension (76% vs 61%) and diabetes (20% vs 7%), but less likely to have diagnosed heart failure (4% vs 7%), myocardial infarction (4% vs 18%) and arrhythmia (7% vs 10%). Among patients with baseline monitoring, 83% did not have CKD, 13% stage 3a, 3% stage 3b, 0.5% stage 4 CKD. In the same population, 7% started ACEI/ARB therapy despite baseline potassium above 5 mmol/L. The median number of days between baseline monitoring and first prescription date was 40 days (IQR 12–125 days).
Table 1.
Serum creatinine monitoring* |
Total | ||||
---|---|---|---|---|---|
No baseline or follow-up tests | Baseline test only | Follow-up test only | Baseline and follow-up tests | ||
Total number | 21 411 (100) | 63 359 (100) | 33 185 (100) | 105 859 (100) | 223 814 (100) |
Female sex | 8882 (41) | 27 722 (44) | 14 570 (44) | 49 109 (46) | 100 283 (45) |
Age (years) | |||||
<50 | 5019 (23) | 13 697 (22) | 8732 (26) | 19 910 (19) | 47 358 (21) |
50–59 | 5485 (26) | 15 135 (24) | 9115 (27) | 24 866 (23) | 54 601 (24) |
60–69 | 4863 (23) | 15 586 (25) | 7776 (23) | 27 790 (26) | 56 015 (25) |
70–79 | 3579 (17) | 12 193 (19) | 5066 (15) | 22 152 (21) | 42 990 (19) |
80+ | 2465 (12) | 6748 (11) | 2496 (8) | 11 141 (11) | 22 850 (10) |
Calendar period | |||||
2004–2008 | 14 814 (69) | 40 667 (64) | 19 808 (60) | 60 902 (58) | 136 191 (61) |
2009–2014 | 6597 (31) | 22 692 (36) | 13 377 (40) | 44 957 (42) | 87 623 (39) |
SES quintiles | |||||
1 (low) | 5153 (24) | 15 290 (24) | 8533 (26) | 25 577 (24) | 54 553 (24) |
2 | 4725 (22) | 14 331 (23) | 7887 (24) | 24 851 (23) | 51 794 (23) |
3 | 4341 (20) | 13 028 (21) | 6890 (21) | 22 629 (21) | 46 888 (21) |
4 | 4254 (20) | 12 140 (19) | 5931 (18) | 19 318 (18) | 41 643 (19) |
5 (high) | 2925 (14) | 8508 (13) | 3898 (12) | 13 359 (13) | 28 690 (13) |
Missing | 13 (0) | 62 (0) | 46 (0) | 125 (0) | 246 (0) |
Smoking status | |||||
Never | 7860 (37) | 22 496 (36) | 12 229 (37) | 36 895 (35) | 79 480 (36) |
Ever | 13 433 (63) | 40 797 (64) | 20 915 (63) | 68 939 (65) | 144 084 (64) |
Missing | 118 (1) | 66 (0) | 41 (0) | 25 (0) | 250 (0) |
Alcohol intake | |||||
No use | 2556 (12) | 7819 (12) | 3409 (10) | 11 088 (10) | 24 872 (11) |
Current | 15 495 (72) | 47 322 (75) | 25 656 (77) | 82 870 (78) | 171 343 (77) |
Former | 1328 (6) | 4499 (7) | 1933 (6) | 7490 (7) | 15 250 (7) |
Missing | 2032 (9) | 3719 (6) | 2187 (7) | 4411 (4) | 12 349 (6) |
BMI groups | |||||
Underweight | 282 (1) | 700 (1) | 304 (1) | 1008 (1) | 2294 (1) |
Healthy weight | 5666 (26) | 15 406 (24) | 8089 (24) | 24 972 (24) | 54 133 (24) |
Overweight | 7677 (36) | 23 755 (37) | 12 484 (38) | 40 556 (38) | 84 472 (38) |
Obesity | 6009 (28) | 20 660 (33) | 10 527 (32) | 35 887 (34) | 73 083 (33) |
Missing | 1777 (8) | 2838 (4) | 1781 (5) | 3436 (3) | 9832 (4) |
CKD (eGFR)† | |||||
Stage ≤2 (≥60) | 10 326 (48) | 53 773 (85) | 19 470 (59) | 87 484 (83) | 171 053 (76) |
Stage 3a (45–59) | 1137 (5) | 7382 (12) | 1766 (5) | 13 913 (13) | 24 198 (11) |
Stage 3b (30–44) | 217 (1) | 1885 (3) | 265 (1) | 3854 (4) | 6221 (3) |
Stage 4 (15–29) | 24 (0) | 319 (1) | 29 (0) | 608 (1) | 980 (0) |
Not measured | 9707 (45) | 0 (0) | 11 655 (35) | 0 (0) | 21 362 (10) |
CV comorbidities‡ | |||||
Heart failure | 1568 (7) | 3270 (5) | 1386 (4) | 4583 (4) | 10 807 (5) |
Myocardial infarction | 3881 (18) | 4653 (7) | 3203 (10) | 4620 (4) | 16 357 (7) |
Hypertension | 13 023 (61) | 44 273 (70) | 24 195 (73) | 80 946 (76) | 162 437 (73) |
Peripheral arterial disease | 471 (2) | 1590 (3) | 523 (2) | 2547 (2) | 5131 (2) |
Arrhythmia | 2057 (10) | 4973 (8) | 2000 (6) | 7123 (7) | 16 153 (7) |
Diabetes mellitus | 1399 (7) | 13 586 (21) | 1992 (6) | 21 548 (20) | 38 525 (17) |
*Monitoring groups based on baseline (within 12 months before) and follow-up (within 2 months after) serum creatinine monitoring.
†Calculated from most recent creatinine measurement within 12 months before the first prescription date.
‡Diagnosis ever registered before ACE/ARB initiation in CRPD or HES.
ARB, angiotensin receptor blocker; BMI, body mass index; CKD, chronic kidney disease; CV, cardiovascular; eGFR, estimated glomerular filtration rate; HES, Hospital Episode Statistics; SES, socioeconomic status.
Among all patients initiating ACEI/ARB therapy, the proportion of patients receiving creatinine testing before initiation was 76% within 12 months of treatment initiation, declining to 34% within 1 month before initiation (table 2). The proportion with follow-up testing after treatment initiation was 29% within 2 weeks, increasing to 62% within 2 months. Among ACEI/ARB initiators who had a baseline test within 12 months, 21% also had a follow-up test within 2 weeks after starting treatment (table 3). However, among patients undergoing testing within 1 month prior to treatment initiation, only 9% had also the recommended follow-up test within 2 weeks of treatment start. When we extended the follow-up window to 3 weeks, this proportion increased to only 14% (table 3). Among patients continuing treatment, only 1% had follow-up measurements at 1, 3, 6 and 12 months after the first retest, in compliance with the strictest recommendation (eTable 1). These results were unchanged when the analysis was restricted to the most recent calendar period (eTables 1–2) and to patients with heart failure, myocardial infarction, hypertension, peripheral arterial disease, diabetes or no recent hospitalisation (eTable 3). Only patients with CKD received a slightly higher degree of monitoring (13%) within 2 weeks following treatment initiation (eTable 3). The proportion with follow-up testing after treatment initiation was also unchanged when results were stratified by date of ACEI/ARB initiation in 2-year intervals (eTable 4).
Table 2.
Serum creatinine, ≥1 test | |
---|---|
Total number | n=223 814 (100%) |
Baseline testing | |
≤12 months before | 169 218 (76%) |
≤3 months before | 115 348 (52%) |
≤1 month before | 75 476 (34%) |
Follow-up testing | |
≤2 weeks after | 65 090 (29%) |
≤1 month after | 114 244 (51%) |
≤2 months after | 139 044 (62%) |
Table 3.
Clinical guidelines |
All initiators n=223 814 (100%) |
||||||
---|---|---|---|---|---|---|---|
NICE heart failure | NICE MI | NICE/UKRA hypertension | NICE CKD | GP Notebook | Wide baseline interval (≤12-months) | Ideal baseline interval (≤1 month) | |
Baseline testing | x | x | x | x | x | 169 218 (76%) | 75 476 (34%) |
+Follow-up test ≤2 weeks* | x | NA | x | x | x | 46 486 (21%) | 19 679 (9%) |
+Follow-up test ≤3 weeks† | 70 792 (32%) | 30 451 (14%) |
*Follow-up test among those with baseline measurements.
†Sensitivity analysis illustrating the importance of 2-week vs 3-week cut-off interval in follow-up test intervals.
CKD, chronic kidney disease; GP, general practice; MI, myocardial infarction; NA, not applicable; NICE, National Institute for Health and Care Excellence; UKRA, United Kingdom Renal Association.
bmjopen-2016-012818supp_tables.pdf (303.8KB, pdf)
Serum creatinine and potassium changes after ACEI/ARB initiation
Among patients receiving the recommended renal function monitoring, 567 (1.2%) experienced a creatinine increase ≥30% and 191 (0.4%) a potassium level >6 mmol/L at their first follow-up test within 2 months of treatment initiation (1.4% experienced the increase in creatinine and/or potassium) (table 4). Among these patients, 80% continued treatment beyond 30 days following the monitoring date (table 4). The sensitivity analysis showed that 65% of patients with a creatinine increase ≥30% and 60% of those with a potassium level >6 mmol/L also continued treatment beyond 90 days after the monitoring date (eTable 5). The results remained consistent for longer baseline monitoring intervals (eTable 5).
Table 4.
Continuation† | Discontinuation† | Total | |
---|---|---|---|
Total number, % | 42 942 (93.1) | 3178 (6.9) | 46 120 (100) |
Serum creatinine increase ≥30%, n (%) | 462 (81.5) | 105 (18.5) | 567 (100) |
Serum potassium >6 mmol/L, n (%) | 150 (78.5) | 41 (21.5) | 191 (100) |
*Calculated from the most recent measurements within 1 month before and 2 months after drug initiation.
†A patient was considered a continuous user when the end date of the first continuous course of therapy was larger than the date of the first follow-up monitoring +30 days (to allow for stockpiling and irregular use).
Patients at high risk for creatinine increases ≥30%
When we examined patient characteristics associated with a creatinine increase ≥30% and adjusted for the other characteristics in a multivariable analysis (table 5), we found an increased OR for women (1.6-fold increased), for age above 70 years (at least 1.3-fold increased), for CKD stage 4 (1.6-fold increased), heart failure (2.9-fold increased), peripheral arterial disease (1.9-fold increased), myocardial infarction (1.6-fold increased) and hypertension (1.6-fold increased).
Table 5.
OR (95% CIs) |
||||||
---|---|---|---|---|---|---|
Characteristics | Serum creatinine monitoring ≤2 weeks |
Serum creatinine increase ≥30%* |
Serum potassium increase ≥30%* |
|||
Age-adjusted and sex-adjusted | Fully adjusted† | Age-adjusted and sex-adjusted | Fully adjusted† | Age-adjusted and sex-adjusted | Fully adjusted† | |
Female sex | 1.07 (1.04 to 1.10) | 1.07 (1.04 to 1.09) | 1.39 (1.26 to 1.53) | 1.63 (1.47 to 1.80) | 0.87 (0.66 to 1.16) | 0.94 (0.70 to 1.26) |
Age (years) | ||||||
<50 | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) |
50–59 | 0.98 (0.94 to 1.01) | 0.98 (0.95 to 1.02) | 0.88 (0.74 to 1.05) | 0.86 (0.72 to 1.03) | 1.29 (0.79 to 2.11) | 1.10 (0.67 to 1.81) |
60–69 | 1.05 (1.02 to 1.09) | 1.05 (1.01 to 1.09) | 1.03 (0.88 to 1.21) | 1.00 (0.85 to 1.19) | 1.35 (0.84 to 2.17) | 0.97 (0.60 to 1.58) |
70–79 | 1.18 (1.14 to 1.23) | 1.18 (1.13 to 1.23) | 1.49 (1.27 to 1.74) | 1.36 (1.15 to 1.61) | 1.65 (1.02 to 2.66) | 0.74 (0.43 to 1.26) |
80+ | 1.20 (1.14 to 1.25) | 1.17 (1.11 to 1.23) | 2.72 (2.32 to 3.20) | 2.02 (1.68 to 2.44) | 2.75 (1.67 to 4.53) | 0.73 (0.41 to 1.32) |
CKD stage | ||||||
No CKD (≥60) | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) |
Stage 3a (45–59) | 1.00 (0.96 to 1.04) | 1.00 (0.96 to 1.04) | 0.62 (0.53 to 0.73) | 0.60 (0.51 to 0.70) | 2.48 (1.66 to 3.71) | 2.06 (1.36 to 3.11) |
Stage 3b (30–44) | 0.99 (0.93 to 1.06) | 1.01 (0.94 to 1.08) | 1.01 (0.82 to 1.24) | 0.88 (0.71 to 1.09) | 7.51 (4.75 to 11.9) | 5.10 (3.16 to 8.22) |
Stage 4 (15–29) | 1.42 (1.21 to 1.67) | 1.41 (1.20 to 1.66) | 2.16 (1.52 to 3.05) | 1.72 (1.18 to 2.51) | 24.0 (13.5 to 42.6) | 11.4 (6.07 to 21.4) |
Comorbidities* | ||||||
Heart failure | 1.15 (1.09 to 1.23) | 1.16 (1.08 to 1.23) | 4.00 (3.49 to 4.58) | 2.93 (2.51 to 3.42) | 2.90 (1.90 to 4.42) | 2.22 (1.38 to 3.58) |
MI | 0.80 (0.75 to 0.85) | 0.77 (0.72 to 0.82) | 2.33 (1.98 to 2.74) | 1.57 (1.32 to 1.87) | 2.12 (1.33 to 3.39) | 1.35 (0.80 to 2.25) |
Hypertension | 1.00 (0.97 to 1.02) | 1.05 (1.00 to 1.11) | 0.62 (0.56 to 0.68) | 1.58 (1.36 to 1.84) | 0.60 (0.45 to 0.80) | 1.02 (0.63 to 1.65) |
PAD | 1.09 (1.01 to 1.18) | 1.11 (1.02 to 1.20) | 2.10 (1.70 to 2.60) | 1.87 (1.50 to 2.33) | 2.14 (1.18 to 3.86) | 1.53 (0.82 to 2.88) |
Arrhythmia | 1.09 (1.03 to 1.14) | 0.98 (0.95 to 1.01) | 2.37 (2.07 to 2.71) | 0.77 (0.69 to 0.86) | 1.41 (0.90 to 2.21) | 0.77 (0.56 to 1.05) |
Diabetes mellitus | 0.93 (0.90 to 0.96) | 0.93 (0.90 to 0.96) | 1.09 (0.97 to 1.22) | 1.04 (0.92 to 1.18) | 0.97 (0.69 to 1.36) | 0.90 (0.63 to 1.29) |
Baseline K>5 mmol/L | 1.04 (1.00 to 1.10) | 1.04 (0.99 to 1.09) | 1.04 (0.86 to 1.25) | 0.97 (0.80 to 1.17) | 8.22 (6.14 to 11.0) | 6.68 (4.94 to 9.02) |
*The increase was based on the difference between the most recent baseline measurements within 12 months before and first follow-up measurement within 2 months after drug initiation. All analyses were restricted to those with both baseline and follow-up measurements (n=105 859).
†Adjusted for sex, age, CKD, heart failure, MI, hypertension, PAD, arrhythmia, diabetes and calendar period of prescription start.
CKD, chronic kidney disease; K, potassium; MI, myocardial infarction; PAD, peripheral arterial disease.
Patients at high risk for potassium >6 mmol/L
Baseline potassium level and CKD stage, but not age and sex, were associated with potassium levels >6 mmol/L after ACEI/ARB initiation. Thus, the OR was sevenfold increased for baseline potassium >5 mmol/L, twofold increased for CKD stage 3a, fivefold increased for stage 3b, and 11-fold increased for stage 4 (table 5). Among cardiovascular comorbidities, heart failure was associated with the strongest OR of a potassium level >6 mmol/L (2.22, 95% CI 1.38 to 3.58).
Monitoring high-risk patients
Some characteristics associated with increased odds of having ≥30% rise in creatinine were also associated with a greater likelihood of having a follow-up test within 2 weeks following drug initiation. These included older age: persons aged 70 years or above compared with ≤50 years (1.18, 95% CI 1.13 to 1.23 for 70–79 years and 1.17, 95% CI 1.11 to 1.23 for 80+ years), CKD stage 4 compared with no CKD (1.41, 95% CI 1.20 to 1.66), heart failure (1.16, 95% CI 1.08 to 1.23) and peripheral arterial disease (1.11, 95% CI 1.02 to 1.20). However, other characteristics associated with increased odds of having ≥30% rise in creatinine were not associated with a greater likelihood of having a follow-up test within 2 weeks following drug initiation: there was no substantially increased OR (>10%) associated with female sex (1.07, 95% CI 1.04 to 1.09), prior history of myocardial infarction (0.77, 95% CI 0.72 to 0.82), hypertension (1.05, 95% CI 1.00 to 1.11) or baseline potassium >5 mmol/L (1.04, 95% CI 0.99 to 1.09). When we excluded patients with a recent hospital admission, the reduced OR for myocardial infarction was no longer observed (0.93, 95% CI 0.80 to 1.08) (eTable 6). Finally, the results remained consistent when we omitted adjustment for baseline potassium (data not shown) and when we adjusted additionally for ethnicity (eTable 6).
Discussion
Only one-tenth of patients initiating ACEI/ARBs in UK primary care appear to receive the guideline-recommended creatinine monitoring. One in 15 patients started ACEI/ARBs despite baseline potassium above the recommended level, which was also shown to be a strong predictor for severe postinitiation hyperkalaemia. Among monitored patients, a creatinine increase ≥30% or a potassium level >6 mmol/L occurred in almost 1.5% of patients, and most did not discontinue therapy despite guideline recommendations to stop. Although patients with prior myocardial infarction, hypertension or a high baseline potassium level were at higher risk of sudden decline in kidney function after ACEI/ARB initiation, there was no evidence that these patient groups were monitored more frequently while initiating the drugs.
Strengths and limitations
Several issues should be considered when interpreting our study results. Its large sample size increased precision. Use of the CPRD ensured that the study was general practice-based and not restricted to specific demographic, hospital or insurance groups.
Over the time course of this study, multiple factors have impacted on the prescribing of ACEI/ARB and measurement of renal function in primary care, for example, the introduction of the relevant NICE guidelines, and QOF reimbursement for testing in certain subgroups. We also did not have information about clinical initiatives such as heart failure nurses and ACEI/ARB stopping rules (‘sick-day rules’). While our main results provide summary measures over a 10-year period, sensitivity analyses confirm that despite these changes, the proportion receiving the guideline suggested that biochemical monitoring does not vary during the study period. We did not have access to blood tests performed in hospital systems, which may have been reported to GPs, but not recorded in CPRD. However, restricting the analysis to patients with no recent hospital admissions who were most likely to have had renal function measured and acted on in secondary care had little effect on our findings. We did not examine testing during initiation of dual blockade with ACEI and ARB as this combination is now used very infrequently for patients with severe comorbidities who are likely to be monitored in secondary care. Although some patients may also have been seen in outpatient specialty clinics, it is common practice for specialists to ask GPs to initiate new drugs such as ACEI/ARBs, with local biochemical monitoring, limiting misclassification.
Consistent with findings from other studies,19 we found that ∼50% of all ACEI/ARB initiators were monitored both before and after treatment start. If GPs are retesting renal function in patients at higher risk of substantial biochemical changes, we may have overestimated the proportion of patients with high potassium levels or creatinine increases compared with the untested lower-risk general population.
GP system software is used for issuing prescriptions, ensuring the accuracy of prescription data. However, it cannot be inferred that all patients actually redeemed their prescription at the pharmacy and started medication on the same day that it was prescribed.18 20 Similarly, the estimated coverage of prescriptions may not be completely accurate due to such factors as stockpiling and irregular use. We also do not know whether GPs contacted patients with elevated laboratory results to advise them to stop taking the medication prior to the end of their prescriptions. However, 80% of patients who developed creatinine increase ≥30% after ACEI/ARB initiation were still issued a subsequent ACEI/ARB prescription.
We aimed to detect discontinuation related closely in time to the first follow-up monitoring and hence most likely resulting from an elevated creatinine or potassium result. We therefore defined continuation as ACEI/ARB use beyond 30 days (the median prescription duration) after the monitoring date. Extending the definition of continuous use beyond 90 days reduced the risk of misclassifying patients as continuing treatment when they had in fact stopped. However, extending the duration also increased the risk of identifying discontinuation due to other reasons than creatinine/potassium increase, for example, death or cough. Diagnoses recorded in the CPRD generally have been found to have adequate validity for research purposes,21 22 particularly in the domains assessed by the QOF.23 24
In the logistic regression analysis to estimate factors associated with creatinine increase ≥30%, we excluded patients without pre and post measurements (complete case analysis). If the recording of creatinine levels was not missing completely at random, the associations between patient characteristics and creatinine increase may have been underestimated.25 While this assumption could not be tested directly, examination of baseline characteristics revealed no major differences in age, sex, socioeconomic status, and lifestyle between patients with and without premonitoring and postmonitoring. Furthermore, the results were consistent for each individual patient group examined. Patients with no testing before or after treatment initiation (including those with potentially haemolysed samples) only accounted for 10% of all ACEI/ARB initiators.
Comparison with other studies
To the best of our knowledge, this is the largest study conducted until now on adherence to monitoring and discontinuation guidelines after ACEI/ARB initiation. Only one previous study19 examined monitoring according to guideline-recommended intervals (<14 days). All others have used longer intervals (eg, 30 days26 or 6 months27 28), which make interpretations and implications for clinical practice less clear. Poor adherence to monitoring guidelines after ACEI/ARB initiation is not restricted to the UK,19 28 29 but has also been reported in the USA,30–32 Canada33 and the Netherlands.26 34 Owing to our sample size, we were able to show that the lack of monitoring occurred in all patient groups with an indication for ACEI/ARB therapy.
A recent Dutch study, including 3353 patients initiating ACEI/ARBs between 2005 and 2011, found that 19% had creatinine measured within 30 days and 66% within 1 year.26 Creatinine increases above 30% occurred in 1.6% of patients, and among these 70% did not discontinue treatment.26 A Scottish study of 4056 patients with type 2 diabetes, prescribed an ACEI/ARB between 2005 and 2009, found that 19% had both a baseline (within 90 days) and follow-up measurement (within 2 weeks) of initiation. Within this cohort, 1.7% had both a creatinine increase of ≥30% and potassium level ≥5.6 mmol/L.
The magnitude of the risk of severe renal impairment, as measured by creatinine increase in these observational studies, was consistent with our findings, but substantially higher than reported in clinical trials (eg, 0.2% in the Ongoing Telmisartan Alone and in Combination with Ramipril Global Endpoint Trial (ONTARGET)).35 It is not clear from the literature how often harm occurs around the time of initiation, when the risk of nephrotoxicity is thought to be greatest.8 If physicians are to understand why follow-up monitoring within 2 weeks of treatment start matters, the short-term risks need to be clarified. Until now, most studies have reported only on cumulative risk over entire courses of treatment, such as the 1.1% 2-year risk for potassium of >6 mmol/L in the Studies of Left Ventricular Dysfunction (SOLVD) trials of patients with heart failure.36 In contrast to clinical trial reviews, reporting a 0.2% (3/1818) risk of potassium >6 mmol/L, we found a 0.4% risk of hyperkalaemia already at the time of first retesting after ACEI initiation.
Extending the previous literature, our results support that advanced age, advanced CKD and heart failure, but not sex, increase the likelihood of being monitored.19 26 30 Consistent with some,26 30 but not all, previous studies,28 we found no association for diabetes. However, these previous studies reporting an association for diabetes focused on monitoring within broader intervals (eg, 6 months),28 where patients with diabetes, irrespective of ACEI/ARB initiation, were likely to receive blood testing owing to the diabetes QOF programme.
Determinants of increases in creatinine levels after ACEI/ARB initiation are less well understood than for hyperkalaemia, but increasing age is a consistently reported factor.19 Advanced CKD and a range of cardiovascular comorbidities (mostly associated with atherosclerosis) were also important determinants in our patient cohort. Consistent with previous studies, we found that the risk of hyperkalaemia was associated with CKD (most likely due to the impaired ability of the cortical collecting tubule to secrete potassium), heart failure (most likely due to the decreased delivery of sodium to the distal nephron), and high pretreatment potassium levels.6 8 19 37 We did not observe an association with diabetes or increasing age, as could have been expected due to diabetic nephropathy or age-dependent hyporeninaemic hypoaldosteronism.6
Clinical relevance
Several possible explanations exist for the divergence between the clinical guideline recommendations and the observed monitoring and response patterns in clinical practice. The first is clinician non-adherence to ordering tests. This may be due to inconsistent recommendations for timing and frequency of monitoring over time,6 consensus-based (rather than evidence-based) monitoring guidelines, and a lack of guidelines tailored to particular high-risk patients, such as those with CKD and heart failure. Although we found that follow-up monitoring correlated well with the risk of renal impairment after ACEI/ARB initiation for most patient groups, it was not observed for patients with myocardial infarction or preinitiation high potassium. The second explanation may be patient non-adherence to ordered tests. This is particularly salient in UK primary care where blood samples may be taken in phlebotomy clinics that the patient has to visit rather than the GP practice. Patients may find it burdensome to have blood tests, and GPs have no direct economic incentives to ensure that they are done. A third barrier is lack of evidence of the clinical importance of monitoring and its cost-effectiveness. ACEI/ARB-induced renal impairment is rare in clinical trials, even among patients with multiple risk factors for atherosclerotic renal artery stenosis.8 38 Trial results may therefore have led to a general perception that the rarity of renal impairment obviates the need for close monitoring. However, as observed in our data, the risks in real-world practice may be somewhat higher and non-negligible. In addition, previous research has shown that potassium monitoring in high-risk patients with CKD and diabetes may reduce serious hyperkalaemia-associated adverse events.39 Still, the extent to which an initial creatinine increase ≥30% translates into adverse long-term outcomes in real-world patients remains to be clarified in future studies.
Generalisability, implications and conclusions
The majority of patients initiating treatment with ACEI/ARBs experience only minor changes in renal function. However, substantial increases in creatinine levels after ACEI/ARB initiation may not be as rare as previously suggested, reinforcing the need for adherence to clinical guidelines for both pre-initiating and post-initiating monitoring. Moreover, the postinitiation creatinine increase and potassium levels used in this study are widely recognised cut-off levels, making the results internationally applicable. The comparison with the previous literature also confirms that the lack of systematic monitoring is not exclusive to the UK. Of particular concern was that even when appropriate monitoring was performed, severe renal impairment only rarely led to treatment discontinuation. Individual patient counselling may also be helpful to ensure that those at highest risk are closely monitored. More work is needed to determine the prognostic importance of the changes in renal function that we have observed.
Footnotes
Twitter: Follow Kathryn Mansfield @AnimaSophia
Contributors: LAT conceived the study idea and acquired data permissions. MS, KEM and LAT designed the study. MS and KEM performed data management and established the cohort. MS, KEM and LAT reviewed the literature. The analyses were carried out by MS. All authors participated in the discussion and interpretation of the results. MS organised the writing and wrote the initial drafts. All authors critically revised the manuscript for intellectual content and approved the final version. MS is the guarantor.
Funding: MS was supported by the A.P. Møller Foundation for the Advancement of Medical Science, Snedkermester Sophus Jacobsen & Hustru Astrid Jacobsens Fond, and Christian og Ottilia Brorsons Rejselegat for yngre videnskabsmænd og–kvinder. HTS was supported by the Program for Clinical Research Infrastructure (PROCRIN) established by the Lundbeck Foundation and the Novo Nordisk Foundation. KB holds a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (grant number 107731/Z/15/Z). LAT and KEM are funded by a Wellcome Trust intermediate clinical fellowship to LAT (101143/Z/13/Z).
Disclaimer: None of these funding sources had a role in the design, conduct, analysis or reporting of the study.
Competing interests: None declared.
Ethics approval: London School of Hygiene and Tropical Medicine Ethics Committee (Approval number 6536) and the Independent Scientific Advisory Committee (ISAC) for Medicines and Healthcare Products Regulatory Agency (Approval number 16_025).
Provenance and peer review: Not commissioned; externally peer reviewed.
Data sharing statement: No additional data are available.
References
- 1.National Institute for Health and Clinical Excellence (NICE). Hypertension in adults: diagnosis and management 2011. https://www.nice.org.uk/guidance/cg127/chapter/1-Guidance#initiating-and-monitoring-antihypertensive-drug-treatment-including-blood-pressure-targets-2 (accessed 1 Apr 2016).
- 2.National Institute for Health and Clinical Excellence (NICE). Chronic heart failure in adults: management 2010. http://pathways.nice.org.uk/pathways/chronic-heart-failure (accessed 1 Apr 2016).
- 3.National Institute for Health and Clinical Excellence (NICE). Management of chronic kidney disease 2014. http://pathways.nice.org.uk/pathways/chronic-kidney-disease#path=view%3A/pathways/chronic-kidney-disease/management-of-chronic-kidney-disease.xml&content=view-node%3Anodes-blood-pressure-control-and-antihypertensive-treatment (accessed 1 Apr 2016.
- 4.National Institute for Health and Clinical Excellence (NICE). Myocardial infarction: secondary prevention 2013. http://pathways.nice.org.uk/pathways/myocardial-infarction-secondary-prevention (accessed 1 Apl 2016).
- 5.Lesogor A, Cohn JN, Latini R et al. . Interaction between baseline and early worsening of renal function and efficacy of renin-angiotensin-aldosterone system blockade in patients with heart failure: insights from the Val-HeFT study. Eur J Heart Fail 2014;15:1236–44. 10.1093/eurjhf/hft089 [DOI] [PubMed] [Google Scholar]
- 6.Raebel MA. Hyperkalemia associated with use of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers. Cardiovasc Ther 2012;30:e156–66. 10.1111/j.1755-5922.2010.00258.x [DOI] [PubMed] [Google Scholar]
- 7.McDowell SE, Thomas SK, Coleman JJ et al. . A practical guide to monitoring for adverse drug reactions during antihypertensive drug therapy. J R Soc Med 2013;106:87–95. 10.1258/jrsm.2012.120137 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bakris GL, Weir MR. Angiotensin-converting enzyme inhibitor-associated elevations in serum creatinine: is this a cause for concern? Arch Intern Med 2000;160:685–93. 10.1001/archinte.160.5.685 [DOI] [PubMed] [Google Scholar]
- 9.McDowell SE, Ferner RE. Biochemical monitoring of patients treated with antihypertensive therapy for adverse drug reactions. Drug Saf 2011;34:1049–59. 10.2165/11593980-000000000-00000 [DOI] [PubMed] [Google Scholar]
- 10.Herrett E, Gallagher AM, Bhaskaran K et al. . Data resource profile: Clinical Practice Research Datalink (CPRD). Int J Epidemiol 2015;44:827–36. 10.1093/ije/dyv098 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Health & Social Care Information Centre. Hospital Episode Statistics. http://www.hscic.gov.uk/hes (accessed 1 May 2016).
- 12.UK Renal Association. Hypertension. http://www.renal.org/information-resources/the-uk-eckd-guide/hypertension#sthash.QNqnBcyh.dpbs (accessed 1 Apr 2016).
- 13.GP Notebook. General Practice Notebook—a UK medical reference. http://www.gpnotebook.co.uk (accessed 1 Apr 2016).
- 14.McDonald HI. The epidemiology of infections among older people with diabetes mellitus and chronic kidney disease. London School of Hygiene and Tropical Medicine; 2015. [Google Scholar]
- 15.McDonald HI, Thomas SL, Millett ERC et al. . CKD and the risk of acute, community-acquired infections among older people with diabetes mellitus: a retrospective cohort study using electronic health records. Am J Kidney Dis 2015;66:60–8. 10.1053/j.ajkd.2014.11.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Bhaskaran K, Douglas I, Forbes H et al. . Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5.24 million UK adults. Lancet 2014;384:755–65. 10.1016/S0140-6736(14)60892-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Bhaskaran K, Forbes HJ, Douglas I et al. . Representativeness and optimal use of body mass index (BMI) in the UK Clinical Practice Research Datalink (CPRD). BMJ Open 2013;3:e003389 10.1136/bmjopen-2013-003389 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Levey AS, Stevens LA, Schmid CH et al. . A new equation to estimate glomerular filtration rate. Ann Intern Med 2009;150:604–12. 10.7326/0003-4819-150-9-200905050-00006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mathieson L, Severn A, Guthrie B. Monitoring and adverse events in relation to ACE inhibitor/angiotensin receptor blocker initiation in people with diabetes in general practice: a population database study. Scott Med J 2013;58:69–76. 10.1177/0036933013482634 [DOI] [PubMed] [Google Scholar]
- 20.Tomlinson LA, Riding AM, Payne RA et al. . The accuracy of diagnostic coding for acute kidney injury in England—a single centre study. BMC Nephrol 2013;14:58 10.1186/1471-2369-14-58 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Herrett E, Thomas SL, Schoonen WM et al. . Validation and validity of diagnoses in the General Practice Research Database: a systematic review. Br J Clin Pharmacol 2010;69:4–14. 10.1111/j.1365-2125.2009.03537.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Khan NF, Harrison SE, Rose PW. Validity of diagnostic coding within the General Practice Research Database: a systematic review. Br J Gen Pract 2010;60:e128–36. 10.3399/bjgp10X483562 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Doran T, Kontopantelis E, Valderas JM et al. . Effect of financial incentives on incentivised and non-incentivised clinical activities: longitudinal analysis of data from the UK Quality and Outcomes Framework. BMJ 2011;342:d3590 10.1136/bmj.d3590 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Barbour SJ, Schachter M, Er L et al. . A systematic review of ethnic differences in the rate of renal progression in CKD patients. Nephrol Dial Transplant 2010;25:2422–30. 10.1093/ndt/gfq283 [DOI] [PubMed] [Google Scholar]
- 25.White IR, Carlin JB. Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values. Stat Med 2010;29:2920–31. 10.1002/sim.3944 [DOI] [PubMed] [Google Scholar]
- 26.van Blijderveen JC, Straus SM, de Ridder MA et al. . Adherence to renal function monitoring guidelines in patients starting antihypertensive therapy with diuretics and RAAS inhibitors: a retrospective cohort study. Drug Saf 2014;37:369–77. 10.1007/s40264-014-0160-0 [DOI] [PubMed] [Google Scholar]
- 27.McDowell SE, Coleman JJ, Evans SJW et al. . Laboratory monitoring and adverse patient outcomes with antihypertensive therapy in primary care. Pharmacoepidemiol Drug Saf 2010;19:482–9. 10.1002/pds.1935 [DOI] [PubMed] [Google Scholar]
- 28.Coleman JJ, McDowell SE, Evans SJW et al. . Oversight: a retrospective study of biochemical monitoring in patients beginning antihypertensive drug treatment in primary care. Br J Clin Pharmacol 2010;70:109–17. 10.1111/j.1365-2125.2010.03654.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kalra PA, Kumwenda M, MacDowall P et al. . Questionnaire study and audit of use of angiotensin converting enzyme inhibitor and monitoring in general practice: the need for guidelines to prevent renal failure. BMJ 1999;318:234–7. 10.1136/bmj.318.7178.234 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Raebel MA, McClure DL, Chan KA et al. . Laboratory evaluation of potassium and creatinine among ambulatory patients prescribed spironolactone: are we monitoring for hyperkalemia? Ann Pharmacother 2007;41:193–200. 10.1345/aph.1H520 [DOI] [PubMed] [Google Scholar]
- 31.Hurley JS, Roberts M, Solberg LI et al. . Brief report: laboratory safety monitoring of chronic medications in ambulatory care settings. J Gen Intern Med 2005;20:331–3. 10.1111/j.1525-1497.2005.40182.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Simon SR, Andrade SE, Ellis JL et al. . Baseline laboratory monitoring of cardiovascular medications in elderly health maintenance organization enrollees. J Am Geriatr Soc 2005;53:2165–9. 10.1111/j.1532-5415.2005.00498.x [DOI] [PubMed] [Google Scholar]
- 33.McAlister FA, Tu K, Majumdar SR et al. . Laboratory testing in newly treated elderly hypertensive patients without co-morbidities: a population-based cohort study. Open Med 2007;1:e60–7. [PMC free article] [PubMed] [Google Scholar]
- 34.Bootsma JE, Warlé-van Herwaarden MF, Verbeek AL et al. . Adherence to biochemical monitoring recommendations in patients starting with renin angiotensin system inhibitors: a retrospective cohort study in the Netherlands. Drug Saf 2011;34:605–14. 10.2165/11587250-000000000-00000 [DOI] [PubMed] [Google Scholar]
- 35.Yusuf S, Teo KK, Pogue J, et al., ONTARGET Investigators . Telmisartan, ramipril, or both in patients at high risk for vascular events. N Engl J Med 2008;358:1547–59. 10.1056/NEJMoa0801317 [DOI] [PubMed] [Google Scholar]
- 36.de Denus S, Tardif JC, White M et al. . Quantification of the risk and predictors of hyperkalemia in patients with left ventricular dysfunction: a retrospective analysis of the Studies of Left Ventricular Dysfunction (SOLVD) trials. Am Heart J 2006;152:705–12. 10.1016/j.ahj.2006.05.030 [DOI] [PubMed] [Google Scholar]
- 37.Desai AS, Swedberg K, McMurray JJV et al. . Incidence and predictors of hyperkalemia in patients with heart failure: an analysis of the CHARM Program. J Am Coll Cardiol 2007;50:1959–66. 10.1016/j.jacc.2007.07.067 [DOI] [PubMed] [Google Scholar]
- 38.Pitt B, Segal R, Martinez FA et al. . Randomised trial of losartan versus captopril in patients over 65 with heart failure (Evaluation of Losartan in the Elderly Study, ELITE). Lancet 1997;349:747–52. 10.1016/S0140-6736(97)01187-2 [DOI] [PubMed] [Google Scholar]
- 39.Raebel MA, Ross C, Xu S et al. . Diabetes and drug-associated hyperkalemia: effect of potassium monitoring. J Gen Intern Med 2010;25:326–33. 10.1007/s11606-009-1228-x [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
bmjopen-2016-012818supp_appendix.pdf (211.2KB, pdf)
bmjopen-2016-012818supp_tables.pdf (303.8KB, pdf)