| Literature DB >> 35616936 |
Xiaocen Fu1, Hong Ren1, Jingyuan Xie1, Weiming Wang1, Yan Li2, Pingjin Gao2, Nan Chen1.
Abstract
Importance: Nighttime hypertension is prevalent and associated with adverse outcomes in patients with chronic kidney disease (CKD), but nighttime hypertension, a subtype of masked uncontrolled hypertension (MUCH), is often undetected among patients with controlled office blood pressure. Little attention has been paid to patients with CKD and nighttime MUCH. Objective: To investigate the prevalence of nighttime MUCH and its associations with cardiovascular and kidney outcomes in patients with CKD who were not receiving dialysis. Design, Setting, and Participants: This retrospective cohort study included patients with nondialysis CKD and hypertension, enrolled in Shanghai, China, from July 2012 through November 2020 and followed up for a median of 39 months. Exposures: Participants were classified as having controlled hypertension, sustained hypertension, and MUCH, which was further divided into isolated nighttime MUCH and day-night MUCH, assessed by office and ambulatory blood pressure monitoring. Main Outcomes and Measures: Left ventricular hypertrophy (LVH) was determined by echocardiography. The composite kidney outcome consisted of end-stage kidney diseases (ESKD) and a reduction of estimated glomerular filtration rate (eGFR) by 50% or more. Logistic and Cox regression assessed the associations of hypertension subtypes with LVH and kidney outcomes.Entities:
Mesh:
Year: 2022 PMID: 35616936 PMCID: PMC9136624 DOI: 10.1001/jamanetworkopen.2022.14460
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Figure 1. Study Flow Diagram
ABPM indicates ambulatory blood pressure monitoring; CKD, chronic kidney disease; and eGFR, estimated glomerular filtration rate.
Baseline Characteristics of the Study Patients
| Characteristic | Patients, No. (%) | ||||||
|---|---|---|---|---|---|---|---|
| Total (N = 675) | Hypertension | ||||||
| Controlled (n = 125 [19.3%]) | Masked uncontrolled (n = 244 [37.6%]) | Sustained (n = 280 [43.1%]) | |||||
| Age, mean (SD), y | 50.8 (15.9) | 44.3 (17.6) | 49.5 (14.4) | 54.6 (15.3) | <.001 | .007 | <.001 |
| Sex | |||||||
| Male | 425 (63.0) | 75 (60.0) | 147 (60.2) | 188 (66.8) | .22 | NA | NA |
| Female | 250 (37.0) | 50 (40.0) | 97 (39.2) | 92 (33.2) | |||
| BMI, mean (SD) | 25.3 (4.0) | 24.4 (3.6) | 25.0 (3.7) | 26.0 (4.3) | <.001 | .44 | <.001 |
| Diabetes | 220 (32.6) | 21 (16.8) | 66 (27.0) | 220 (44.6) | <.001 | NA | NA |
| Etiology of CKD | |||||||
| Primary glomerulonephritis | 401 (59.4) | 94 (75.2) | 161 (66.0) | 132 (47.1) | <.001 | NA | NA |
| Diabetic nephropathy | 33 (4.9) | 0 (0.0) | 8 (3.3) | 24 (8.6) | |||
| Hypertensive nephropathy | 52 (7.7) | 8 (6.4) | 17 (7.0) | 24 (8.6) | |||
| Others | 189 (28.0) | 23 (18.4) | 58 (23.8) | 100 (35.7) | |||
| Antihypertensive agent use | |||||||
| Use of drugs | 640 (94.8) | 125 (100.0) | 222 (91.0) | 269 (96.1) | <.001 | NA | NA |
| No. of drugs, mean (SD) | 2.0 (1.2) | 1.5 (0.8) | 1.7 (1.1) | 2.4 (1.3) | <.001 | .13 | <.001 |
| Laboratory measurements | |||||||
| Fasting glucose, mean (SD), mg/dL | 86.5 (21.6) | 82.9 (14.4) | 84.7 (18.02) | 90.1 (27.0) | <.001 | .96 | .005 |
| Serum albumin, mean (SD), g/dL | 3.2 (0.8) | 3.4 (0.8) | 3.2 (0.9) | 3.2 (0.8) | .06 | .21 | .06 |
| Total cholesterol, median (IQR), mg/dL | 201.1(170.1-251.4) | 193.3(162.4-243.6) | 201.1(174.0-251.4) | 201.1(166.3-255.2) | .13 | .46 | .77 |
| Serum creatinine, mean (SD), mg/dL | 1.5 (0.7) | 1.3 (0.6) | 1.4 (0.6) | 1.6 (0.7) | <.001 | .14 | <.001 |
| eGFR, mean (SD), ml/min/1.73m2 | 61.6 (29.4) | 74.0 (31.3) | 65.3 (30.3) | 52.4 (24.8) | <.001 | .02 | <.001 |
| Proteinuria, median (IQR), mg/24h | 1786(574-3938) | 1337 (403-2996) | 1627 (552-3616) | 2232 (840-5425) | <.001 | .09 | <.001 |
| Hemoglobin, mean (SD), g/dL | 12.5 (2.1) | 13.0 (2.1) | 12.4 (2.2) | 12.3 (2.0) | .004 | .03 | .003 |
| LVMI, median (IQR), g/m2 | 85.1 (73.4-102.6) | 76.6 (66.0-87.2) | 82.0 (72.0-97.2) | 94.5 (79.9-110.5) | <.001 | .002 | <.001 |
|
| |||||||
| Office BP | |||||||
| Systolic | 138.3 (17.8) | 121.8 (9.9) | 127.6 (8.3) | 154.2 (13.1) | <.001 | <.001 | <.001 |
| Diastolic | 81.1 (10.3) | 73.0 (6.9) | 77.7 (6.6) | 87.3 (10.6) | <.001 | <.001 | <.001 |
| 24-h BP | |||||||
| Systolic | 129.8 (16.2) | 111.8 (8.6) | 126.1 (10.5) | 142.2 (13.3) | <.001 | <.001 | <.001 |
| Diastolic | 79.4 (9.7) | 69.7 (5.5) | 80.3 (7.1) | 83.8 (9.9) | <.001 | <.001 | <.001 |
| Daytime BP | |||||||
| Systolic | 130.6 (16.1) | 113.4 (9.1) | 126.4 (10.4) | 142.9 (13.4) | <.001 | <.001 | <.001 |
| Diastolic | 80.1 (9.7) | 71.0 (5.9) | 80.7 (7.5) | 84.3 (10.1) | <.001 | <.001 | <.001 |
| Nighttime BP | |||||||
| Systolic | 125.4 (19.8) | 102.8 (7.9) | 123.9 (14.9) | 138.5 (17.0) | <.001 | <.001 | <.001 |
| Diastolic | 75.8 (11.4) | 62.5 (4.8) | 78.1 (8.2) | 80.8 (11.0) | <.001 | <.001 | <.001 |
| BP dipping rate, mean (SD), % | |||||||
| Systolic | 4.0 (8.4) | 9.1 (6.3) | 2.0 (8.4) | 3.0 (8.1) | <.001 | <.001 | <.001 |
| Diastolic | 5.4 (8.7) | 11.7 (6.9) | 2.9 (8.7) | 4.1 (7.9) | <.001 | <.001 | <.001 |
Abbreviations: BMI, body mass index (calculated as weight in kilograms divided by height in meters squared); BP, blood pressure; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; LVMI, left ventricular hypertrophy index.
SI conversion factors: To convert fasting glucose to millimoles per liter, multiply by 0.0555; albumin to grams per liter, multiply by 10; total cholesterol to millimoles per liter, multiply by 0.0259; serum creatinine to micromoles per liter, multiply by 88.4; hemoglobin to grams per liter, multiply by 10.
Among the total 675 patients, 26 had white-coat hypertension and were omitted from this table.
Controlled hypertension vs masked uncontrolled hypertension.
Controlled hypertension vs sustained hypertension.
Figure 2. Prevalence of Subtypes of Hypertension and Masked Uncontrolled Hypertension (MUCH)
Figure 3. Association Between Left Ventricular Hypertrophy (LVH) and Hypertension Subtypes
Model 1 adjustment variables included age, sex, and body mass index. Model 2 adjustment variables included age, sex, body mass index, diabetes, use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, estimated glomerular filtration rate, hemoglobin, and proteinuria. MUCH indicates masked uncontrolled hypertension; and OR, odds ratio.
Figure 4. Association Between Composite Kidney Outcomes and Hypertension Subtypes
Model 1 adjustment variables included age, sex, and body mass index. Model 2 adjustment variables included age, sex, body mass index, diabetes, use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, estimated glomerular filtration rate, hemoglobin, and proteinuria. HR indicates hazard ratio; and MUCH, masked uncontrolled hypertension.