| Literature DB >> 28691036 |
Lei Wang1, Nanfang Li1, Xiaoguang Yao1, Guijuan Chang1, Delian Zhang1, Mulalibieke Heizhati1, Menghui Wang1, Qin Luo1, Jianqiong Kong1.
Abstract
BACKGROUND: Since the control rate of blood pressure is lower in mainland China, the aim of this study is to investigate the proportion of secondary causes and coexisting diseases of hypertension in hypertensive patients.Entities:
Mesh:
Year: 2017 PMID: 28691036 PMCID: PMC5485286 DOI: 10.1155/2017/8295010
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1Study flow chart. PSG, polysomnography; CTA, computed tomography angiography; OSA, obstructive sleep apnea; RPD, renal parenchymal disease; RAS, renal artery stenosis.
Clinical and biochemical characteristics of all subjects (n = 3987).
| Variable | Characteristics |
|---|---|
| Age (years) | 52.0 ± 13.1 |
| Male | 2121 (53.2) |
| Current smoker, | 1248 (31.3) |
| Current drinker, | 1100 (27.6) |
| BMI, (kg/m2) | 26.9 ± 4.0 |
| Office SBP (mmHg) | 141.7 ± 21.5 |
| Office DBP (mmHg) | 91.1 ± 14.8 |
| Heart rate (beats per min) | 77.8 ± 9.3 |
| Serum potassium (mmol/l) | 3.9 ± 0.4 |
| Fasting blood glucose (mmol/l) | 5.3 ± 1.5 |
| TC (mmol/l) | 4.5 ± 1.0 |
| TG (mmol/l) | 2.0 ± 1.5 |
| HDL-C (mmol/l) | 1.2 ± 0.5 |
| LDL-C (mmol/l) | 2.5 ± 0.7 |
| Diabetes mellitus, | 662 (16.6) |
| Coronary artery disease, | 746 (18.7) |
| Stroke history, | 1132 (28.4) |
| Obesity, | 1097 (27.5) |
| Anxiety, | 140 (3.5) |
Detection of secondary causes and coexisting diseases in hypertensive patients.
| Diseases |
| Total, % | patients with further evaluation, % |
|---|---|---|---|
|
|
| ||
| Secondary causes and coexisting diseases | 1186 | 29.7 | 39.5 |
| OSA | 742 | 18.6 | 24.7 |
| PA | 175 | 4.4 | 5.8 |
| PA + OSA | 146 | 3.7 | 4.9 |
| RPD | 54 | 1.3 | 1.8 |
| Hypothyroidism | 31 | 0.8 | 1.1 |
| RAS | 25 | 0.6 | 0.8 |
| PHEO | 3 | 0.08 | 0.1 |
| CS | 4 | 0.1 | 0.1 |
| Hyperthyroidism | 3 | 0.08 | 0.1 |
| Others | 3 | 0.08 | 0.1 |
PA, primary aldosteronism; OSA, obstructive sleep apnea; RPD, renal parenchymal disease; RAS, renal artery stenosis; PHEO, pheochromocytoma; CS, Cushing's syndrome; others include one Liddle's syndrome, one aortic coarctation, and one multicystic ovary syndrome.
Figure 2Constituent ratio in 1186 patients with secondary causes and coexisting disease. OSA, obstructive sleep apnea; PA, primary aldosteronism; RPD, renal parenchymal disease; RAS, renal artery stenosis; PHEO, pheochromocytoma; CS, Cushing's syndrome.
Figure 3The frequency of overlapping conditions in secondary causes of hypertension. OSA, obstructive sleep apnea; RPD, renal parenchymal disease; PA, primary aldosteronism.
Detection of top three secondary causes of hypertension in 3003 patients stratified via gender, age, and BMI.
| Group | OSA | PA | RPD |
|---|---|---|---|
|
|
|
| |
| Gender | |||
| Male ( | 556 (34.8) | 85 (5.3) | 37 (2.3) |
| Female ( | 186 (13.2) | 90 (6.4) | 17 (1.2) |
| | <0.001 | 0.02 | 0.02 |
| Age group | |||
| Age < 45 ( | 279 (30.2) | 64 (6.9) | 39 (4.2) |
| 45 ≤ age < 65 ( | 399 (26.9) | 98 (6.6) | 10 (0.7)$ |
| Age ≥ 65 ( | 64 (10.7) | 13 (2.2) | 5 (0.8) |
| | <0.001 | <0.001 | <0.001 |
| Obese status | |||
| BMI < 24 ( | 57 (8.6) | 49 (7.4) | 20 (3.0) |
| 24 ≤ BMI < 28 ( | 293 (23.6)♀ | 81 (6.5) | 22 (1.8) |
| BMI ≥ 28 ( | 392 (35.7)& | 46 (4.2)& | 12 (1.1)& |
| | <0.001 | 0.01 | 0.01 |
P < 0.01: age < 45 versus age ≥ 65 group; &P < 0.01: BMI < 24 versus BMI ≥ 28 group; #P < 0.01: 45 ≤ age < 65 versus age ≥ 65 group; P < 0.01: 24 ≤ BMI < 28 versus BMI ≥ 28 group; $P < 0.01: age < 45 versus 45 ≤ age < 65 group; ♀P < 0.01: BMI < 24 versus 24 ≤ BMI < 28 group; PA, primary aldosteronism; OSA, obstructive sleep apnea; RPD, renal parenchymal disease.
Detection of coexisting conditions of hypertension in 3003 patients stratified via gender, age, and BMI.
| group | Anxiety | Diabetes | Obesity |
|---|---|---|---|
|
|
|
| |
| Gender | |||
| Male ( | 35 (2.2) | 334 (20.9) | 626 (39.2) |
| Female ( | 105 (7.5) | 277 (19.7) | 431 (30.7) |
| | <0.001 | 0.41 | <0.001 |
| Age group | |||
| Age < 45 ( | 40 (4.3) | 99 (10.7) | 366 (39.6) |
| 45 ≤ age < 65 ( | 67 (4.5) | 345 (23.3)$ | 532 (35.9) |
| Age ≥ 65 ( | 33 (5.5) | 167 (28.0) | 159 (26.6) |
| | 0.52 | <0.001 | <0.001 |
| Obese status | |||
| BMI < 24 ( | 57(8.6) | 102 (15.4) | — |
| 24 ≤ BMI < 28 ( | 56(4.5)♀ | 236 (19.0) | — |
| BMI ≥ 28 ( | 27 (2.5)& | 273 (24.9)& | — |
| | <0.001 | <0.001 |
P < 0.01: age < 45 versus age ≥ 65 group; &P < 0.01: BMI < 24 versus BMI ≥ 28 group; #P < 0.01: 45 ≤ age < 65 versus age ≥ 65 group; P < 0.01: 24 ≤ BMI < 28 versus BMI ≥ 28 group; $P < 0.01: age < 45 versus 45 ≤ age < 65 group; ♀P < 0.01: BMI < 24 versus 24 ≤ BMI < 28 group.