Abstract
Background
The significance of ambulatory blood pressure (ABP) in Korean patients with chronic kidney disease (CKD) in relation to renal outcome or death remains unclear. We investigated the role of ABP in predicting end-stage renal disease or death in patients with CKD.
Methods
We enrolled 387 patients with hypertension and CKD who underwent ABP monitoring and were followed for 1 year. Data on clinical parameters and outcomes from August 2014 to May 2018 were retrospectively collected. The composite endpoint was end-stage renal disease or death. Patients were grouped according to the mean ABP.
Results
There were 66 endpoint events, 52 end-stage renal disease cases, and 15 mortalities. Among all patients, one developed end-stage renal disease and died. Mean ABP in the systolic and diastolic phases were risk factors for the development of composite outcome with hazard ratios of 1.03 (95% confidence interval [CI], 1.01-1.04; P < 0.001) and 1.04 (95% CI, 1.02-1.07; P = 0.001) for every 1 mmHg increase in BP, respectively. Patients with mean ABP between 125/75 and 130/80 mmHg had a 2.56-fold higher risk for the development of composite outcome (95% CI, 0.72-9.12; P = 0.147) as compared to those with mean ABP ≤ 125/75 mmHg. Patients with mean ABP ≥ 130/80 mmHg had a 4.79-fold higher risk (95% CI, 1.68-13.70; P = 0.003) compared to those with mean ABP ≤ 125/75 mmHg. Office blood pressure (OBP) was not a risk factor for the composite outcome when adjusted for covariates.
Conclusion
In contrast to OBP, ABP was a significant risk factor for end-stage renal disease or death in CKD patients.
Keywords: Blood pressure monitoring, ambulatory, Hypertension, Kidney failure, chronic
Introduction
According to the Korea National Health and Nutrition Examination Survey data, the overall prevalence of chronic kidney disease (CKD) in Korea is 8.2%, and hypertension is an important factor in the development and progression of CKD [1]. Recently, the 2017 American College of Cardiology/American Heart Association (ACC/AHA) guidelines suggested lowering the threshold of normal blood pressure (BP) to < 130/80 mmHg in the general population and in patients with CKD [2].
Several guidelines have recommended different target BP values in patients with CKD. Lowering the target BP to < 130/80 mmHg has been recommended in patients with CKD [3]. Large cohort studies have demonstrated that an intensive office BP (OBP) target has no benefit with respect to survival rate or renal outcomes [4-6]. However, the post-hoc study of the Systolic Blood Pressure Intervention Trial (SPRINT) study suggested that intensive BP treatment would improve the mortality rate in patients with CKD [7]. Furthermore, controversy remains about the appropriate BP target for improving the prognosis of patients with CKD.
Considering BP variations in a single patient with CKD, OBP might cause the misclassification of hypertension. In the report from the African American Study of Kidney disease trial, masked hypertension accounted for 70% of all well-controlled hypertension cases [8]. One study in 2013 showed that among 5,698 patients with CKD in Spain, the incidence of whitecoat hypertension was 28.8% and that of masked hypertension was 7% [9]. In previous studies, whitecoat and masked hypertension were reported as cardiovascular risk factors [10,11]. Therefore, ambulatory BP monitoring (ABPM) is useful considering the diverse BP patterns in patients with CKD.
The purpose of this study was to examine the significance of ABP in estimating clinical outcomes and to suggest an optimal BP target in patients with CKD.
Methods
Patients and study design
This study was an extension of a 12-month prospective cohort study that enrolled patients with hypertension and CKD stages 1 to 4 from August 2014 to May 2015 from Seoul National University Bundang Hospital, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, and Seoul National University Hospital [12]. The initial inclusion criteria were (1) age 20 to 75 years, (2) BP ≥ 140/90 mmHg, and/or (3) the use of the same BP medication since at least 2 weeks before enrollment. Patients with acute kidney injury, hospitalization, renal replacement therapy, previous kidney transplantation, uncontrolled arrhythmia, asthma, chronic obstructive pulmonary disease, and primary endocrine disorders except diabetes mellitus (DM) were excluded. Pregnant women and individuals who work night shifts were also excluded. OBP and 24-hour ABP were measured in all patients.
Clinical data and outcomes from August 2014 to May 2018 were retrospectively collected. The primary outcome was the incidence of end-stage renal disease (ESRD) or death (Fig. 1). ESRD was defined as the requirement of maintenance dialysis or kidney transplantation. Information about the development of ESRD was obtained from the electronic medical record (EMR) system of each hospital and ESRD registry of the Korea Society of Nephrology; information about death was collected from the EMR system of each hospital and database of the Ministry of the Interior and Safety by comparing the name and date of birth of each patient.
Figure 1. Diagram of the study population and collection of the composite outcome.
ABPM, ambulatory blood pressure monitoring; EMR, electronic medical record; ESRD, end-stage renal disease; KSN, Korean Society of Nephrology.
The present study protocol was reviewed and approved by the Institutional Review Board of Seoul National University Bundang Hospital (approval number: B-1809-490-107), Seoul Metropolitan Government-Seoul National University Boramae Medical Center (approval number: 20181203/10-2018-107/011), and Seoul National University Hospital (approval number: 1812-030-991).
Clinical and biochemical assessments
Demographic information such as age, sex, medical history (hypertension, DM, and the use of antihypertensive drugs), blood tests (serum hemoglobin, albumin, blood urea nitrogen, creatinine, calcium, phosphorous, intact parathyroid hormone, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides), and urine protein-creatinine ratio (UPCR) was obtained from the EMR system at the time of enrolment. Renal function was measured using serum isotope dilution mass spectrometry traceable creatinine, estimated glomerular filtration rate (eGFR) calculated using the CKD Epidemiology Collaboration (CKD-EPI) equation, and UPCR in random urine samples.
Measurement of ABP
OBP was measured by medical staff using a mercury sphygmomanometer with an appropriately sized cuff. All patients rested for 5 minutes before BP measurement and were prohibited from smoking and ingesting caffeine for 30 minutes before the measurements. Three measurements were performed at 1-minute intervals, and the average of the last two measurements was taken as the OBP. The 24-hour ABPM was performed using the Oscar 2 (SunTech Medical, Morrisville, NC, USA) and Mobile-O-Graph (I.E.M. GmbH, Stolberg, Germany) on a typical workday. Daytime was defined as 8 AM to 10 PM and nighttime as 10 PM to 8 AM. More than 16 acceptable daytime readings and 12 acceptable nighttime readings were obtained. The time interval between BP measurements was 30 minutes. BP groups were divided according to the 2017 ACC/AHA guidelines. Extreme dippers were defined as patients with a nighttime-daytime systolic BP ratio of ≤ 0.8; dippers, 0.8 to 0.9; non-dippers, 0.9 to 1.0; and reverse dippers, > 1.0.
Statistical analysis
Statistical analysis was performed using IBM SPSS Statistics 22.0 (IBM Corp., Armonk, NY, USA). Quantitative variables are presented as median with the full range of values, and categorical variables as percentages. Among patients divided into two groups (those who developed ESRD or died and those who did not), Student’s t test was used to compare continuous variables and chi-square test or Fisher’s exact test was applied to compare categorical variables according to the number of variables. Cox proportional hazard models were used with adjustments for covariates to determine the relationship of BP to the composite outcome. Covariates were selected using correlation analysis with P < 0.05 and clinical assessment by investigators. Continuous variables of BP were mean ABP, daytime ABP, nighttime ABP, and OBP in the systolic and diastolic phases. BP values were also analyzed as categorical variables divided into groups. Mean ABP values were analyzed as three groups: < 125/75 mmHg, between 125/75 and 130/80 mmHg, and > 130/80 mmHg. Daytime ABPs were divided into three groups: < 130/80 mmHg, between 130/80 and 135/85 mmHg, and > 135/85 mmHg; nighttime ABP values were divided into three groups: < 110/65 mmHg, between 110/65 and 120/70 mmHg, and > 140/85 mmHg.
Results
Baseline characteristics
A total of 433 patients agreed to undergo ABPM, and 46 patients were excluded because of patient withdrawal or inappropriate measurements. A total 387 patients were included in this study. The median follow-up period was 40.6 months (range, 2.0-52.5 months). The median age was 61 years, and 58.4% of patients were men (Table 1; Supplementary Table 1, available online). CKD was diagnosed in all patients about 48 months before enrolment. CKD stages were from stage 2 to stage 4. The median serum creatinine level was 1.6 mg/dL, and the median eGFR calculated using the CKD-EPI equation was 41.7 mL/min/1.73 m2. The UPCR was 0.7 g/g creatinine. Among the 387 patients, normal BP, persistent hypertension, whitecoat hypertension, and masked hypertension were observed in 35 (9.0%), 249 (64.3%), 33 (8.5%), and 70 (18.1%) patients, respectively. A total of 218 patients (56.3%) were non-dippers or reverse dippers. A total of 139 patients (35.9%) were diagnosed with DM. Etiologies of CKD were DM, glomerulonephritis, hypertension, cystic kidney disease, and tubulointerstitial disease, which were observed in 139 patients (35.9%), 104 patients (26.9%), 74 patients (19.1%), 8 patients (2.1%), and 1 patient (0.3%), respectively.
Table 1.
Clinical characteristics, number and components of antihypertensive therapy, and patterns of blood pressure in participants according to the composite outcome
| Characteristic | Total (n = 387) | ESRD or death (n = 66) | Non-ESRD or non-death (n = 321) | P value |
|---|---|---|---|---|
| Age (yr) | 61 (52-69) | 62 (52-68) | 61 (51-69) | 0.838 |
| Sex, male | 226 (58.4) | 44 (66.7) | 182 (56.7) | 0.135 |
| Duration of CKD (mo) | 68 (17-84) | 36 (13-66) | 48 (17-91) | 0.155 |
| Diabetes mellitus | 139 (35.9) | 45 (68.2) | 96 (29.9) | < 0.001 |
| Body mass index (kg/m2) | 24.7 (22.5-27.1) | 24.7 (22.6-26.6) | 24.8 (22.5-27.2) | 0.599 |
| Cause of CKD | < 0.001 | |||
| Diabetic kidney disease | 139 (35.9) | 45 (68.2) | 96 (29.9) | |
| Glomerulonephritis | 104 (26.9) | 8 (12.1) | 99 (30.8) | |
| Hypertensive kidney disease | 74 (19.1) | 7 (10.6) | 73 (22.7) | |
| Cystic kidney disease | 8 (2.1) | 0 (0) | 9 (2.8) | |
| Tubulointerstitial disease | 1 (0.3) | 0 (0) | 1 (0.3) | |
| Others | 47 (12.1) | 6 (9.1) | 43 (13.4) | |
| CKD stage | < 0.001 | |||
| Stage 1 | 0 (0) | 0 (0) | 0 (0) | |
| Stage 2 | 95 (24.5) | 3 (4.5) | 92 (28.7) | |
| Stage 3A | 79 (20.4) | 2 (3.0) | 77 (24.0) | |
| Stage 3B | 93 (24.0) | 11 (16.7) | 82 (25.5) | |
| Stage 4 | 120 (31.0) | 50 (75.8) | 70 (21.8) | |
| Stage 5 | 0 (0) | 0 (0) | 0 (0) | |
| Number of hypertension medications | 2 (1-3) | 2 (2-3) | 2 (1-3) | < 0.001 |
| Use of ACEi/ARB | 294 (76.0) | 43 (65.2) | 251 (78.2) | 0.024 |
| Use of BB | 123 (31.8) | 29 (43.9) | 94 (29.3) | 0.020 |
| Use of CCB | 240 (62.0) | 47 (71.2) | 193 (60.1) | 0.091 |
| Use of diuretics | 84 (21.7) | 27 (40.9) | 57 (17.8) | < 0.001 |
| Serum albumin (g/dL) | 4.2 (4.0-4.4) | 3.9 (3.5-4.2) | 4.2 (4.0-4.4) | < 0.001 |
| Serum BUN (mg/dL) | 24 (18-33) | 37 (32-44) | 23 (17-28) | < 0.001 |
| Serum Cr (mg/dL) | 1.6 (1.2-2.2) | 2.6 (2.0-3.2) | 1.5 (1.1-1.9) | < 0.001 |
| Serum GFR (mL/min/1.73 m2) | 41.7 (28.0-62.1) | 22.7 (18.8-31.5) | 47.0 (33.5-65.5) | < 0.001 |
| Serum Hb (g/dL) | 12.8 (11.3-14.3) | 11.4 (10.1-12.6) | 13.1 (11.6-14.5) | < 0.001 |
| Serum HbA1c (%) | 6.6 (5.8-7.5) | 7.4 (6.6-8.2) | 6.4 (5.7-7.2) | < 0.001 |
| Serum total-C (mg/dL) | 163 (141-191) | 159 (139-183) | 164 (141-192) | 0.576 |
| Serum Ca × P (mg2/dL2) | 32.8 (29.1-36.3) | 34.0 (29.6-39.7) | 32.8 (28.8-35.8) | 0.021 |
| Serum TG (mg/dL) | 133 (98-180) | 142 (92-203) | 132 (98-178) | 0.201 |
| Urine protein-creatinine ratio (g/g creatinine) | 0.7 (0.3-1.8) | 2.8 (1.0-5.4) | 0.6 (0.2-1.4) | < 0.001 |
| BP pattern | 0.010 | |||
| Normotensive | 35 (9.0) | 2 (3.0) | 33 (10.3) | |
| Persistent hypertension | 249 (64.3) | 52 (78.8) | 197 (61.4) | |
| Whitecoat hypertension | 33 (8.5) | 2 (3.0) | 31 (9.7) | |
| Masked hypertension | 70 (18.1) | 10 (15.2) | 60 (18.7) | |
| Daytime-nighttime BP ratio | 0.621 | |||
| Extreme dipper or dipper | 169 (43.7) | 27 (40.9) | 142 (44.2) | |
| Non-dipper or reverse dipper | 218 (56.3) | 39 (59.1) | 172 (53.6) | |
Data are presented as number (%) or median (range).
ACEi, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; BB, beta blocker; BP, blood pressure; BUN, blood urea nitrogen; Ca × P, product of calcium and phosphorous; CCB, calcium channel blocker; CKD, chronic kidney disease; Cr, creatinine; ESRD, end-stage renal disease; GFR, glomerular filtration rate; Hb, hemoglobin; HbA1c, hemoglobin A1c; TG, triglycerides; total-C, total cholesterol.
The median serum creatinine level was 2.7 mg/dL in the ESRD or death group and 1.6 mg/dL in the non-ESRD or non-death group (P < 0.001). The median serum GFR was 22.7 mL/min/1.73 m2 in the ESRD or death group and 47.0 mL/min/1.73 m2 in the non-ESRD or non-death group (P < 0.001). CKD stage 2, 3A,nd 4 was observed in 3 (4.5%), 2 (3.0%), 11 (16.7%), and 50 (75.8%) patients in the ESRD or death group, respectively, and in 92 (28.7%), 77 (24.0%), 82 (25.5%), and 70 (21.8%) patients in the non-ESRD or non-death group, respectively. The UPCR ratio was 2.8 in the ESRD or death group and 0.6 in the non-ESRD or non-death group. The incidence of whitecoat hypertension was 3.0% in the ESRD or death group and 9.7% in the non-ESRD or non-death group. The incidence of masked hypertension was 15.2% in the ESRD or death group and 18.7% in the non-ESRD or non-death group. The distribution of daytime-nighttime BP ratio was not different between the ESRD or death group and the non-ESRD or non-death group. The number of hypertension medications was a median of 2 in the ESRD or death group, which was higher than that in the non-ESRD or non-death group. The number of patients with DM was 45 (68.2%) in the ESRD or death group and 96 (29.9%) in the non-ESRD or non-death group. The median glycated hemoglobin value was 6.6% in the total patient group, and 7.4% and 6.4% in in the ESRD or death group and the non-ESRD or non-death group, respectively (P < 0.001).
Distribution of ABP and OBP
The mean ABP was 129/79 mmHg, and the mean OBP was 133/78 mmHg (Table 2, Supplementary Table 2). In the ESRD or death group, the daytime ambulatory systolic BP (ASBP) was 146 mmHg and the nighttime ASBP was 131 mmHg; the median daytime ambulatory diastolic BP (ADBP) was 84 mmHg, and the nighttime ADBP was 77 mmHg. The ABP values were higher in the ESRD or death group than in the non-ESRD or non-death group, similar to office systolic BP (OSBP). However, the difference in office diastolic BP (ODBP) between the two groups was not significant (P = 0.785). The square of the correlation coefficient (R2) between mean ASBP and OSBP was 0.210 and that between mean ADBP and ODBP was 0.228 (Fig. 2, Supplementary Fig. 1). The R2 value was 0.213 in the systolic phase and 0.250 in the diastolic phase between OBP and mean daytime ABP, and 0.168 in the systolic phase and 0.159 in the diastolic phase between OBP and mean nighttime ABP.
Table 2.
Distribution of blood pressures according to the composite outcome
| Total | ESRD or death | Non-ESRD or non-death | P value | |
|---|---|---|---|---|
| Mean ASBP | 129 (94-207) | 142 (112-206) | 128 (94-187) | < 0.001 |
| Mean ADBP | 79 (49-114) | 82 (60-108) | 79 (51-114) | 0.014 |
| Daytime ASBP | 133 (94-213) | 146 (110-208) | 130 (94-189) | < 0.001 |
| Daytime ADBP | 82 (52-115) | 84 (64-113) | 81 (52-115) | 0.025 |
| Nighttime ASBP | 121 (87-197) | 131 (110-197) | 118 (87-181) | 0.001 |
| Nighttime ADBP | 73 (42-117) | 77 (53-112) | 72 (44-117) | 0.020 |
| OSBP | 133 (90-207) | 140 (100-205) | 132 (90-207) | 0.048 |
| ODBP | 78 (30-115) | 75 (30-104) | 79 (40-115) | 0.785 |
Data for blood pressure are presented as median (range).
ADBP, ambulatory diastolic blood pressure; ASBP, ambulatory systolic blood pressure; ESRD, end-stage renal disease; ODBP, office diastolic blood pressure; OSBP, office systolic blood pressure.
Figure 2. Relationships between office blood pressure (BP) and mean ambulatory blood pressure in the (A) systolic and (B) diastolic phase.
ABP, ambulatory BP; DBP, diastolic BP; HTN, hypertension; SBP, systolic BP.
Composite outcome and BP
Among the total 387 patients who were analyzed, 66 (17.0%) cases had the composite outcome (ESRD or death). One patient who developed ESRD and died in the follow-up period was analyzed as having ESRD. There were two foreign patients whose death could not be confirmed; however, as they developed ESRD in the follow-up period, they were classified as having the composite outcome.
The mean ASBP and ADBP increased the risk of ESRD or death, with adjusted hazard ratios (HRs) of 1.03 (95% confidence interval [CI], 1.01-1.04; P < 0.001) and 1.04 (95% CI, 1.02-1.07; P = 0.002), respectively (Table 3, Supplementary Table 3). Higher daytime and nighttime ABPs in the systolic and diastolic phases were also risk factors for ESRD or death (daytime ASBP: HR, 1.03; 95% CI, 1.01-1.04; P < 0.001; daytime ADBP: HR, 1.04; 95% CI, 1.02-1.07; P = 0.001; nighttime ASBP: HR, 1.02; 95% CI, 1.01-1.04; P = 0.001; nighttime ADBP: HR, 1.04; 95% CI, 1.01-1.06; P = 0.003), whereas OSBP and ODBP were not statistically significant. When the outcome was ESRD only, daytime ASBP, daytime ADBP, nighttime ASBP, and nighttime ADBP increased the risk of ESRD by 1.03 (95% CI, 1.01-1.04; P < 0.001), 1.05 (95% CI, 1.02-1.07; P = 0.001), 1.02 (95% CI, 1.00-1.03; P = 0.013), and 1.03 (95% CI, 1.00-1.05; P = 0.021), respectively.
Table 3.
Adjusted hazard ratios of each component of ABPM and OBP in patients with CKD
| Model 1: ESRD or deathb | Model 2: ESRD onlyc | |||||
|---|---|---|---|---|---|---|
| HR | 95% CI | P value | HR | 95% CI | P value | |
| ABP group (mmHg) | 0.001 | < 0.001 | ||||
| < 125/75 | Ref. | Ref. | ||||
| 125/75-130/80 | 2.56 | 0.72-9.12 | 0.147 | 8.76 | 1.75-43.96 | 0.008 |
| ≥ 130/80 | 4.79 | 1.68-13.70 | 0.003 | 7.65 | 1.80-32.57 | 0.006 |
| Mean ASBP | 1.03 | 1.01-1.04 | < 0.001 | 1.03 | 1.01-1.04 | 0.002 |
| Mean ASBP (group) (mmHg) | 0.002 | 0.002 | ||||
| < 125 | Ref. | Ref. | ||||
| 125-130 | 2.75 | 0.84-8.95 | 0.094 | 4.73 | 1.35-16.63 | 0.418 |
| ≥ 130 | 3.72 | 1.62-8.55 | 0.002 | 4.07 | 1.63-10.13 | 0.040 |
| Mean ADBP | 1.04 | 1.02-1.07 | 0.002 | 1.05 | 1.02-1.08 | 0.001 |
| Mean ADBP (group) (mmHg) | < 0.001 | < 0.001 | ||||
| < 75 | Ref. | Ref. | ||||
| 75-80 | 1.05 | 0.45-2.44 | 0.917 | 1.35 | 0.51-3.58 | 0.546 |
| > 80 | 2.59 | 1.39-4.87 | 0.003 | 2.93 | 1.42-6.03 | 0.004 |
| Daytime ABP (group) (mmHg) | 0.001 | 0.131 | ||||
| < 130/80 | Ref. | |||||
| 130/80-135/85 | 2.45 | 0.85-7.04 | 0.096 | - | ||
| ≥ 135/85 | 3.54 | 1.64-7.65 | 0.001 | - | ||
| Daytime ASBP | 1.03 | 1.01-1.04 | < 0.001 | 1.03 | 1.01-1.04 | < 0.001 |
| Daytime ASBP (group) (mmHg) | 0.002 | 0.142 | ||||
| < 130 | Ref. | |||||
| 130-135 | 2.27 | 0.85-7.04 | 0.102 | - | ||
| ≥ 135 | 3.07 | 1.55-6.06 | 0.001 | - | ||
| Daytime ADBP | 1.04 | 1.02-1.07 | 0.001 | 1.05 | 1.02-1.07 | 0.001 |
| Daytime ADBP (group) (mmHg) | 0.009 | 0.004 | ||||
| < 80 | Ref. | Ref. | ||||
| 80-85 | 1.12 | 0.51-2.49 | 0.778 | 1.40 | 0.59-3.35 | 0.450 |
| ≥ 85 | 2.39 | 1.32-4.33 | 0.004 | 2.89 | 1.50-5.56 | 0.032 |
| OSBPa | 0.834 | 0.780 | ||||
| ODBPa | 0.742 | 0.176 | ||||
ABP, ambulatory blood pressure; ABPM, ABP monitoring; ADBP, ambulatory diastolic blood pressure; ASBP, ambulatory systolic blood pressure; CI, confidence interval; CKD, chronic kidney disease; ESRD, end-stage renal disease; HR, hazard ratio; OBP, office blood pressure; ODBP, office diastolic blood pressure; OSBP, office systolic blood pressure; Ref., references.
Groups of office blood pressure could not be included in these Cox regression models. bModel 1 was adjusted for age; sex; diabetes mellitus; number of hypertension medications; use of angiotensin-converting enzyme inhibitor (ACEi) or angiotensin II receptor blocker (ARB), use of beta blocker (BB); serum level of blood urea nitrogen (BUN); estimated glomerular filtration rate (eGFR) calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation; albumin; sodium; high-density lipoprotein; and urine protein-creatinine ratio (UPCR). cModel 2 was adjusted for age; sex; diabetes mellitus; number of hypertension medications; use of ACEi or ARB, BB, diuretics, and alpha blocker; serum level of BUN; eGFR calculated using the CKD-EPI equation; albumin; intact parathyroid hormone; hemoglobin; total bicarbonate; chloride; protein; hematocrit; alkaline phosphatase; product of calcium and phosphorous; sodium and potassium; and UPCR.
The ABP groups were related to an increased risk of ESRD or death, whereas the OBP groups were not (Fig. 3). Patients with CKD with mean ABP between 125/75 and 130/80 mmHg showed a statistically insignificant difference in the rate of ESRD or death compared to those with mean ABP < 125/75 mmHg (P = 0.147). The HR of patients with mean ABP > 130/80 mmHg was 4.79 (95% CI, 1.68-13.70; P = 0.003). When the outcome was ESRD only, the HR of BP > 130/80 mmHg by mean ABP was 7.57 (95% CI, 1.80-32.57; P = 0.006) and that of BP between 125/75 and 130/80 mmHg was 8.761 (95% CI, 1.75-43.96; P = 0.008) compared with ABP < 125/75 mmHg.
Figure 3. The proportion of patients free from the composite outcome (A) or risk of end-stage renal disease (ESRD) (B) stratified by mean ambulatory blood pressures (ABPs).
Daytime ABP > 135/85 mmHg increased the risk of ESRD or death by 3.54-fold compared with daytime ABP < 130/80 mmHg. Daytime ABP between 130/80 and 135/85 mmHg also showed a 2.45-fold higher risk. When the outcome was ESRD only, however, there were no differences among the daytime ABP groups. The HR of ESRD or death increased when each daytime ASBP or ADBP group became higher. There were no patients with ESRD or mortality in the normal nighttime ABP group.
Subgroup analysis
The HR of mean ASBP was 1.04 in elderly patients (≥ 65 years) (95% CI, 1.02-1.06; P < 0.001) (Table 4). The risk of ESRD or death significantly increased in women (HR, 1.04; 95% CI, 1.02-1.06; P < 0.001). Patients with CKD and DM showed a 1.02-fold higher risk of ESRD or death, and those without DM showed a 1.05-fold higher risk of ESRD or death when the mean ASBP increased by 1 mmHg. The CKD stage 4 subgroup showed a 1.03-fold increased risk when the mean ASBP became higher (HR, 1.03; 95% CI, 1.01-1.05; P = 0.001). In patients with proteinuria (UPCR ≥ 0.5 g/g creatinine), there was a higher risk of ESRD or death as the mean ASBP became higher (HR, 1.03; 95% CI, 1.01-1.05; P = 0.002). In non-dippers or reverse dippers, higher ASBP increased the risk of ESRD or death (HR for ESRD or death, 1.03; 95% CI, 1.01-1.04; P = 0.002; HR for ESRD only, 1.03; 95% CI, 1.01-1.05; P = 0.004).
Table 4.
Adjusted hazard ratios with increasing ASBP by 1 mmHg in subgroups
| Model 1: ESRD or deatha | Model 2: ESRD onlyb | |||||
|---|---|---|---|---|---|---|
| HR | 95% CI | P value | HR | 95% CI | P value | |
| Age (yr) | ||||||
| ≥ 65 | 1.04 | 1.02-1.06 | < 0.001 | uc | 0.051 | |
| < 65 | uc | 0.295 | uc | 0.065 | ||
| Sex | ||||||
| Female | 1.04 | 1.02-1.06 | < 0.001 | 1.04 | 1.01-1.06 | 0.002 |
| Male | uc | 0.353 | uc | 0.192 | ||
| UPCR (g/g creatinine) | ||||||
| ≥ 0.5 | 1.03 | 1.01-1.04 | 0.002 | 1.03 | 1.01-1.04 | 0.003 |
| < 0.5 | uc | 0.547 | uc | 0.594 | ||
| Nighttime-daytime ASBP ratio | ||||||
| Non-dipper or reverse dipper | 1.03 | 1.01-1.04 | 0.002 | 1.03 | 1.01-1.05 | 0.004 |
| Dipper | uc | 0.105 | uc | 0.071 | ||
| DM | ||||||
| DM | 1.02 | 1.00-1.04 | 0.036 | uc | 0.250 | |
| Non-DM | 1.05 | 1.02-1.08 | 0.003 | uc | 0.560 | |
ASBP, ambulatory systolic blood pressure; CI, confidence interval; DM, diabetes mellitus; ESRD, end-stage renal disease; HR, hazard ratio; uc, unable to calculate; UPCR, urine protein-creatinine ratio.
Model 1 was adjusted for age; sex; diabetes mellitus; number of hypertension medications; use of angiotensin-converting enzyme inhibitor (ACEi) or angiotensin II receptor blocker (ARB), use of beta blocker (BB); serum level of blood urea nitrogen (BUN); estimated glomerular filtration rate (eGFR) calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation; albumin; sodium; high-density lipoprotein; and urine protein-creatinine ratio (UPCR). bModel 2 was adjusted for age; sex; diabetes mellitus; number of hypertension medications; use of ACEi or ARB, BB, diuretics, and alpha blocker; serum level of BUN; eGFR calculated using the CKD-EPI equation; albumin; intact parathyroid hormone; hemoglobin; total bicarbonate; chloride; protein; hematocrit; alkaline phosphatase; product of calcium and phosphorous; sodium and potassium; and UPCR.
Discussion
By comparing ABP and OBP, this study showed the importance of ABP in predicting the prognosis of patients with CKD with respect to ESRD or death. The risks of ESRD or death became higher as the ABP values (mean, daytime, and nighttime) increased; however, this was not observed for OBP values. Among the components of ABP, mean ASBP had the strongest correlation with the composite outcome (ESRD or death).
This is the first study to report that ABP is a more accurate prognostic marker than OBP in predicting severe renal function deterioration or mortality in patients with CKD in Korea. In previous studies that compared ABP and conventional OBP in the general population, ABP was suggested to have good prognostic value for cardiovascular events or mortality rate [13-16]. For patients with CKD showing BP variability, ABP has significance for not only cardiovascular outcomes but also renal outcomes [17,18]. In this study, after adjusting for various possible confounding factors, we concluded that ABP itself is a reliable measurement.
Controversy remains regarding the appropriate time of BP measurement in relation to renal outcomes or death. In the present study, daytime BP was of greater importance in predicting ESRD, whereas nighttime BP was of greater importance [19,20]. In a study on 682 hypertensive patients who underwent echocardiography, nocturnal BP, rather than non-dipping, showed better prediction of left ventricular hypertrophy (LVH), especially in patients with a high cardiovascular risk [21]. We observed that the groups of mean ABP had a greater correlation with the composite outcome or ESRD only than those of daytime ABP or OBP. Repeated measurements of BP may explain the better predictive power of mean ABP. However, as taking 24-hour monitoring device each time could cause discomfort, an appropriate timing of one-time BP measurement that can replace ABP is desired, and further studies are needed in this regard [22].
Many studies have shown that cardiovascular risk and mortality rate are improved by intensive BP lowering [23]. These studies did not show better outcomes in patients with CKD, except for one study [7]. There has been a criticism that the BP measurement method in the SPRINT study was equivalent to self-monitored BP measurement. In our study, among patients divided according to the correlated ABP stages in the 2017 ACC/AHA guidelines, those with ABP > 125/75 mmHg showed a higher risk of ESRD or death than those with ABP < 125/75 mmHg, which is the current normal ABP criteria. However, the model of OBP stages had no statistical importance in explaining the risk of ESRD or death. This suggests the availability of an ABP target for predicting CKD progression.
In subgroup analysis, the non-dipping pattern of BP was correlated with the outcome of ESRD or death. Over 50% of the current study group were non-dippers and reverse dippers. The results showed that ABP more accurately indicates the prognosis of patients with CKD with a non-dipping pattern of BP than that of patients with a dipping pattern, which is consistent with the result of a previous study [24]. Another study that analyzed 1,317 hypertensive patients with CKD stages 2 to 4 revealed specific clinical characteristics among the dipping patterns, and patients in the non-dipping/reverse dipping group showed greater renal dysfunction and extent of proteinuria [25]. Previous studies have shown that hypertension, especially a high night BP or a reverse dipping pattern, causes pressure overload leading to LVH, which results in end-organ damage related to poor cardiovascular outcomes [26-28]. As LVH is also a strong risk factor of mortality or renal function deterioration in patients with CKD [29-31], the pattern of BP has been suggested as a strong predictor.
This study has some limitations. First, a longer follow-up period is needed to explain the prognostic value of nighttime BP. During the follow-up period, there was no patient who developed ESRD or died in the normotensive group when measuring nighttime ABP. Therefore, we could not suggest that lowering nighttime BP would be appropriate for patients with early-stage CKD. Second, according to the European Society of Hypertension guidelines [32], accurate measurement of ABP requires an appropriate device, software, patient education, and editing data, which are barriers to its clinical application.
In conclusion, ABP showed better associations with renal outcome and death than OBP. The results of the present study suggest that ABP could be a prognostic factor for renal outcome and death in patients with CKD. To clarify the optimal BP target using ABP, further prospective studies or studies on cost-effectiveness should be conducted in patients with CKD.
Supplemental Materials
Footnotes
Conflicts of interest
All authors have no conflicts of interest to declare.
Authors’ contributions
Hyung Eun Son, Ho Jun Chin, Yoon Kyu Oh, and Kook-Hwan Oh participated in design of the study. Hyung Eun Son, Kipyo Kim, and Youngjin Yi participated in analysis of data. Hyung Eun Son, Ji Young Ryu, and Suryeong Go participated in collection of data and Hyung Eun Son was in charge of writing the paper.
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