Background
The mainstays of nonspecific secondary prevention of chronic kidney disease (CKD) progression, irrespective of cause, include blood pressure control and proteinuria-directed strategies to preserve residual kidney function, with special emphasis on angiotensin-converting enzyme inhibitors (ACEi) or angiotensin-receptor blockers (ARB) [
1‐
4]. However, fear of inducing hyperkalemia, an inherent risk associated with the mechanism of action of these drugs, may limit their initiation or dose increases, given the considerable attention paid to this risk, especially in patients with CKD, diabetes mellitus, and or heart failure (HF) [
5‐
8]. Although the exact serum (S
K) or plasma potassium (P
K) concentration associated with increased mortality remains controversial, growing evidence suggests that in patients with CKD, diabetes mellitus, or HF, especially the elderly, a S
K > 5.0 mmol/L is associated with a higher risk of death [
9,
10]. Moreover, a
post-hoc analysis of the Reduction of Endpoints in non-insulin-dependent diabetes mellitus with the Angiotensin II Antagonist Losartan (RENAAL) trial showed that increased S
K concentrations ≥5.0 mmol/L at 6 months were associated with an increased risk of doubled serum creatinine or end-stage kidney disease (ESKD), independent of baseline renal function and other important predictors of renal outcomes [
11].
Low S
K < 4 mmol/L has also been associated with excess mortality and hospitalization, especially for patients with CKD and HF [
12], for whom the relation between S
K and mortality is U-shaped [
13]. The frequent concomitant use of non-potassium-sparing (thiazide and loop) diuretics may induce low S
K in CKD patients, and again a U-shaped relation has been observed between S
K and mortality, with mortality risk significantly greater at S
K < 4.0 mmol/L than at 4.0 to 5.5 mmol/L. In this CKD cohort, only the composite of cardiovascular events or death as an outcome was associated with elevated S
K (>5.5) [
14]. Risk for ESKD was also elevated at S
K < 4 mmol/L. Hayes et al. reported a significant nonlinear association between S
K and all-cause mortality in a retrospective CKD survey; regression splines showed that mortality increased in association with both high and low S
K levels [
15]. Other studies in CKD patients have also shown low S
K (<3.5 mmol/L) is associated with excess mortality [
4] and ESKD risk [
16]. Another study found low S
K (<4 mmol/L) associated with mortality in patients with CKD but not with ESKD [
17]. Higher S
K (>5 mmol/L) was associated with excess ESKD in one study [
16] but not another [
17]. Nevertheless, it appears that high S
K (>5, 5.6 or 6 mmol/L) is associated with excess mortality [
4,
17]. Of note, all these studies reported to have measured S
K which is known to overestimate potassium concentration on average by 0.4 mmol/L as compared with plasma potassium (P
K) which reduces the risk for blood coagulation [
18,
19].
In this study, we aimed to evaluate the association of PK with renal and cardiovascular outcomes, along with treatment practice patterns in the use of drugs apt to modulate PK in a cohort of patients with CKD under optimized nephrologist care, characterized by repeated extensive laboratory work-ups.
Population and methods
Study population
NephroTest is a prospective hospital-based cohort study that enrolled 2084 adult patients with any diagnosis of CKD stages 1–5 referred by nephrologists to three departments of physiology for extensive work-ups between January 2000 and December 2012 [
20]. The NephroTest work-up was designed to optimize CKD care by providing nephrologists with a large set of blood and urine tests to assess each patient’s metabolic complications and cardiovascular risk at yearly intervals. Laboratory report notified any relevant abnormal values, such as P
K lower than 3.5 or higher than 5.0 mmol/L, together with a reminder of current recommended targets, to guide treatment adjustment [
20].
Eligible patients were ≥18 years of age, not pregnant, not on dialysis, and not living with a kidney transplant. After exclusion of 6 patients with missing data for P
K or treatment at baseline, this analysis included 2078 patients (Additional file
1: Figure S1).
Measurements
Clinical and laboratory data were recorded during a 5-h in-person visit at enrollment and during follow-up. They included demographics, renal diagnosis, medical history, height and weight, resting blood pressure, and medications. We collected blood and urine samples to determine levels of PK, venous CO2, HbA1c, and albumin, as well as urinary creatinine, albumin, and potassium. PK status was studied in three categories: < 4 mmol/L (low PK), 4–5 mmol/L (normal PK), and >5 mmol/L (high PK). Diabetes was defined as either fasting glycemia ≥7 mmol/L or HbA1c ≥6.5% or antidiabetic treatment. At each visit, GFR was measured by 51Cr-EDTA renal clearance. Briefly, 1.8–3.5 MBq of 51Cr-EDTA (GE Healthcare, Velizy, France) was injected intravenously as a single bolus. An hour was allowed for distribution of the tracer in the extracellular fluid, and then the average renal 51Cr-EDTA clearance was determined for five to six consecutive 30-min clearance periods. Over the study period, patients underwent a total of 5523 laboratory visits, and a median of 2 [IQR, 1–4] per patient); 1190 patients (57%) had at least two visits.
Outcomes
The primary endpoints were ESKD, defined by dialysis start or preemptive kidney transplantation, and pre-ESKD all-cause mortality. The secondary endpoints were pre-ESKD cardiovascular (CV) mortality and all-cause death, regardless of ESKD. Events were identified either from patients’ medical records or through record linkage with the national REIN (Renal Epidemiology and Information Network) registry of treated ESKD and the national death registry. All survival data were right-censored on December 31, 2013, or to the date of last visit for patients not identified in registries. Cardiovascular causes of death included ischemic heart disease, cerebrovascular disease, HF, dysrhythmia, peripheral arterial disease, sudden death, and valvular disease. Patients were followed up through December 31, 2013. These outcomes were studied in 1941 patients after exclusion of 137 with baseline GFR < 10 ml/min/1,73m
2 or lost to follow-up from the initial sample (Additional file
1: Figure S1).
Statistical analyses
In the overall population, we first used analysis of variance (ANOVA), the Kruskal-Wallis test, or the chi-square test, as appropriate, to compare patients’ baseline characteristics by PK status subgroup. We then used multinomial logistic regression models to estimate odds ratios (OR) and their 95% confidence intervals (95% CI) for low and high PK associated with baseline characteristics, with normokalemia as the reference category.
Second, we performed Cox regression models to estimate crude and adjusted cause-specific hazard ratios (HR) and their 95% confidence intervals (95% CI) for ESKD, and pre-ESKD all-cause and CV mortality associated with P
K status at baseline, with normokalemia [4–5 mmol/L] as the reference category. In each of these models, the competing events were treated as censored observations [
21]. Adjustment covariates were similar in all analyses: age, center, sex, ethnicity, smoking status, body mass index (BMI), diabetes, baseline mGFR, albuminemia, urinary potassium, log albumin/creatinine ratio, medication that may decrease P
K (nonpotassium-sparing diuretics, bicarbonate treatment, potassium-binding resins), and medication that may increase P
K (potassium-sparing diuretics, ACEi or ARBs, β-blockers). We tested the proportional-hazard assumption with Schoenfeld residuals against time for each covariate; because it was not satisfied for mGFR in the cause-specific Cox model with ESKD, we stratified rather than adjusted for baseline mGFR level, using six classes of mGFR (10–20, 20–30, 30–40, 40–50, 50–60, >60 mL/min per 1.73m
2). To account for changes in P
K over time, we used time-dependent Cox models to estimate crude and adjusted HRs for each outcome associated with P
K during follow-up. In the time-dependent analysis, medications were also updated at each visit. Finally, penalized splines were used in fully adjusted time-dependent Cox models to represent the functional relation between P
K measurements and the risk of each outcome.
Third, we described changes in PK status between the first and the second visit in the subpopulation of patients with at least two visits as well as changes in medication between the visits for patients with low or high PK at baseline that normalized at the second visit. Changes were tested with McNemar’s test.
Statistical analyses were performed with SAS version 9.4 (SAS Institute, Cary, NC) and R version 3.0.2.
Discussion
In this cohort of CKD patients under nephrologist care, low PK (< 4 mmol/L) was relatively common, but hypokalemia (< 3.5 mmol/L) and high PK uncommon. Neither high nor low PK, at baseline or during follow-up, were associated with all-cause or CV mortality in this population. A major finding from this selected cohort of patients receiving optimized nephrologist care is that the lack of excess mortality with high PK was apparently observed in the absence of reduction in the use of ACEi or ARBs over time.
Optimal care of patients with CKD stage 3 or higher should involve annual assessment of metabolic and cardiovascular complications and adaptation of medication to achieve recommended therapeutic targets [
22]. The NephroTest work-up implemented since 2000 in the three university hospitals in this study sought to improve CKD care by providing comprehensive assessment of CKD complications at yearly intervals together with reminders of current recommended targets. It should be emphasized that the unique design of this study with exclusive participation of patients with optimized nephrology care makes it difficult to compare our results with those from other studies. Moreover, we measured P
k which is likely to have resulted in a slight shift towards lower values as compared with other studies using S
k. A U-shaped relation has previously been reported between S
K and mortality in several cohorts of HF [
13], hypertension [
23], and CKD patients [
4,
14,
15,
17], but we observed no such association with P
K in the NephroTest cohort.
Although no causality could be ascertained in this observational setting, we note that 74.4% of the CKD patients in our cohort were treated with ACEi or ARB at baseline (a higher rate than in the above-mentioned CKD cohorts, where it was 58.0, 59.0, and 62.1% [
14,
15,
17] and 29.0% [
4],), they had a low baseline prevalence of high P
K and a reinforced follow-up, in that patients agreed to undergo, beyond their routine nephrology care, additional extensive laboratory testing. Strikingly, low P
K (common at baseline) and high P
K (uncommon at baseline) were corrected in a substantial number of patients between the first and second NephroTest work-up: management was responsive to test results, as shown by the increased prescriptions for ARBs in patients with low baseline P
K, and the increased prescription for potassium-binding resins and bicarbonate in those with high baseline P
K. Interestingly, the stable ACEi and increased ARB use in these patients suggests that the nephrologists were not reluctant to prescribe drugs that might promote still higher P
K. In contrast, a recent retrospective survey of US CKD patients reported a U-shaped association between S
K and discontinuation of these medications blocking the renin-angiotensin-aldosterone system (RAAS) [
4]. It may be that the use of first-generation potassium-binding resins, either sodium-based (e.g., sodium polystyrene sulfonate, SPS) or calcium-based (e.g., calcium resonium), and bicarbonates made the RAAS inhibition sustainable (by taking care of the low P
K part of the U-shape curve) while avoiding life-threatening high P
K (by blunting the right-hand side of the U-shaped relation between P
K and outcomes). This interesting hypothesis warrants testing in randomized trials.
Only a few studies have observed a higher risk for ESKD associated with high S
K [
11,
16]. Our study found a slight but statistically significant excess risk of ESKD at higher P
K levels, observed only with time-dependent Cox models. Because both P
K and ESKD risks rise as GFR falls, it is difficult to determine whether this reflects the potential impact of P
K on CKD progression or residual confounding by mGFR level.
Management of patients with chronic hyperkalemia is currently in the process of changing, and these findings are relevant to these changes [
22]. Until recently, recommendations for these patients called for a low-potassium diet and the elimination of both potassium supplements and drugs, such as NSAIDS, that can compromise renal function. Instead, today, physicians are supposed to begin treatment with a non-potassium-sparing diuretic if indicated or to increase the dose for patients already on a diuretic. Dose reduction or discontinuation of RAAS inhibitors, especially mineralocorticoid receptor antagonists, is also recommended. Patients with chronic hyperkalemia for whom continued use of these drugs is thought necessary, such as those with CKD and/or HF with reduced ejection fraction, can be treated with a potassium-lowering agent such as SPS alone or with sorbitol and the RAAS-inhibitor (RAASi) treatment continued [
24]. Unfortunately, the poor tolerability of available P
K-lowering agents tends to induce poor compliance over the long run. SPS has been available to reduce potassium levels for several decades, but it is poorly tolerated and its use, especially in combination with sorbitol, has been associated with bowel necrosis [
25]. Because SPS exchanges P
K for Na+, it can increase sodium absorption and, therefore, plasma volume, it may be dangerous in patients with volume overload such as those with chronic HF, CKD, and/or salt-sensitive hypertension. The recent availability, at least in the US, of the non-absorbed potassium-lowering polymer Patiromer and the likely availability within the year of the potassium-binding agent ZS 9 provide an opportunity to continue RAASi in patients with hypertension [
25].(11) Although both Patiromer and ZS9 have been shown to be effective in reducing P
K to normal levels in patients with hyperkalemia and to be relatively well tolerated, their long-term effectiveness on CV and renal outcomes with continued RAASi treatment must be evaluated and compared to those outcomes in patients switching to another class of antihypertensive agent [
26].
Whether the additional potassium and kidney function monitoring and reminders that were the heart of the NephroTest intervention contributed to blunting the relation between P
K and the outcomes tested must also be considered. Observational data certainly suggest that implementation of potassium and GFR monitoring is inadequate, even though it is recommended by all guidelines for patients treated with ACEi or ARB [
27], or mineralocorticoid receptor antagonists [
28].
Major strengths of our study include its large sample size and duration of follow-up, together with a high level of accuracy in patient phenotyping including the use of reference methods for measuring GFR, potassium (in plasma which is preferable to serum), and several biomarkers of metabolic complications, both at baseline and follow-up visits. Several limitations should also be noted, including its observational nature, and the percentage (6.6%) of patients excluded from the analysis because of baseline GFR < 10 mL/min/1.73m2 or loss to follow-up. Although this may have decreased the study power; particularly for extreme PK values, it is unlikely to have biased our findings. As discussed above, the NephroTest cohort was highly selected, compared to the overall CKD patient population, a selection that precludes any generalization of our findings. Nevertheless, it was this selected nature of our population that made it possible to identify clinical practice patterns, and it is these that may lead to improved clinical management of dyskalemia in other patients. Finally, because drug doses were not recorded, we cannot document whether or not ACEi or ARB dosage was reduced when not withdrawn in patients with high PK.