Hypertension is a major contributor to cardiovascular morbidity and mortality. Ambulatory blood pressure monitoring (ABPM) complements office blood pressure measurement by detecting white-coat hypertension, masked hypertension, and nocturnal blood pressure abnormalities, and this study aimed to assess its diagnostic value in the management of hypertension in private cardiology practice in Senegal. A prospective, descriptive, and analytical study was conducted from July to September 2024 at Clinique Urgence Cardio in Dakar, including patients aged 18 years or older with a valid 24-hour ABPM recording. Clinical, anthropometric, and treatment data, together with cardiovascular risk factors, were collected; office and ambulatory blood pressure measurements were compared; and logistic regression was used to identify factors associated with discordance between the two methods. Of the 104 patients assessed, 97 had valid ABPM recordings. The mean age was 53.2 ± 14.1 years, and women predominated. Cardiovascular risk factors included abdominal obesity (77.3%), known hypertension (54.6%), physical inactivity (43.3%), dyslipidemia (37.1%), and diabetes (16.5%). Mean office blood pressure was 145.7/91.4 mmHg, compared with 130.5/80.2 mmHg over 24 hours, 134.4/82.4 mmHg during daytime, and 125/75 mmHg during nighttime. ABPM identified sustained hypertension in 53.61% of patients, white-coat hypertension in 18.56%, masked hypertension in 9.28%, and normotension in 18.56%, with overall agreement between office and ambulatory measurements of 72.2%. Among patients with elevated office blood pressure, 25.7% had white-coat hypertension, while 33.3% of those with normal office blood pressure had masked hypertension. Non-dipping and reverse-dipping patterns were observed in 45.4% and 19.6% of patients, respectively, and discordance was independently associated with alcohol consumption (OR = 5.08; p = 0.007). ABPM improves the diagnostic classification of hypertension and reveals a high prevalence of discordant phenotypes and nocturnal blood pressure abnormalities, and wider use of ABPM may help optimize patient management in this setting.
| Published in | Cardiology and Cardiovascular Research (Volume 10, Issue 3) |
| DOI | 10.11648/j.ccr.20261003.15 |
| Page(s) | 55-62 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Ambulatory Blood Pressure Monitoring, Hypertension, White-Coat Hypertension, Masked Hypertension, Nocturnal Blood Pressure, Senegal
Circadian rhythm | Categories | Dipper | Non-dipper | Riser | Extreme dipper | Total | P-value |
|---|---|---|---|---|---|---|---|
Age | <50 years | 51.2 | 34.2 | 14.6 | 0.0 | 100 | 0.021 |
≥50 years | 21.4 | 53.6 | 23.2 | 1.8 | 100 | ||
Sex | Female | 31.3 | 48.4 | 20.3 | 0.0 | 100 | 0.422 |
Male | 39.4 | 39.4 | 18.2 | 3.0 | 100 | ||
Smoking | Yes | 0.0 | 33.3 | 66.7 | 0.0 | 100 | |
No | 32.9 | 45.9 | 20.0 | 1.2 | 100 | 0.262 | |
Former | 55.6 | 44.4 | 0.0 | 0.0 | 100 | ||
Alcohol | Yes | 18.8 | 50.0 | 3.3 | 0.0 | 100 | 0.402 |
No | 37.0 | 44.4 | 17.3 | 1.2 | 100 | ||
Physical inactivity | Yes | 42.9 | 40.5 | 14.3 | 2.4 | 100 | 0.216 |
No | 27.3 | 49.1 | 23.6 | 0.0 | 100 | ||
Diabetes | Yes | 31.25 | 50 | 18.75 | 0 | 100 | 0.953 |
No | 34.57 | 44.44 | 19.75 | 1.23 | 100 | ||
Thinness | 0 | 100 | 0 | 0 | 100 | ||
BMI | Normal | 30.43 | 43.48 | 26.09 | 0 | 100 | 0.734 |
Overweight | 42.22 | 13.33 | 2.22 | 100 | |||
Obesity | 25 | 50 | 25 | 0 | 100 | ||
Abdominal Obesity | Yes | 34.67 | 46.67 | 17.33 | 1.33 | 100 | 0.725 |
No | 31.82 | 40.91 | 27.27 | 0 | 100 |
Overall nighttime load | Categories | Diastolic hypertension | Systolic hypertension | Systolo-diastolic hypertension | Normal | Total | P-value |
|---|---|---|---|---|---|---|---|
Age | <50 years | 17.1 | 0.0 | 48.8 | 34.2 | 100 | 0.013 |
≥50 years | 7.1 | 19.6 | 48.2 | 25.0 | 100 | ||
Sex | Female | 10.9 | 10.9 | 48.4 | 29.7 | 100 | 0.992 |
Male | 12.1 | 12.1 | 48.5 | 27.3 | 100 | ||
Smoking | Yes | 0.0 | 33.3 | 66.7 | 0.0 | 100 | |
No | 9.4 | 9.4 | 50.6 | 30.6 | 100 | 0.142 | |
Former | 33.3 | 22.2 | 22.2 | 22.2 | 100 | ||
Alcohol | Yes | 0.0 | 12.5 | 75.0 | 12.5 | 100 | 0.08 |
no | 13.6 | 11.1 | 43.2 | 32.1 | 100 | ||
Physical inactivity | Yes | 11.9 | 4.8 | 57.1 | 26.2 | 100 | 0.242 |
No | 10.9 | 16.4 | 41.8 | 30.9 | 100 | ||
Diabetes | Yes | 6.25 | 25 | 50 | 18.75 | 100 | 0.233 |
No | 12.35 | 8.64 | 48.15 | 30.86 | 100 | ||
Thinness | 0 | 100 | 0 | 0 | 100 | ||
Normal | 8.7 | 17.39 | 47.83 | 26.09 | 100 | ||
BMI | 0.083 | ||||||
Overweight | 15.56 | 6.67 | 40 | 37.78 | 100 | ||
Obesity | 7.14 | 10.71 | 64.29 | 17.86 | 100 | ||
Abdominal obesity | Yes | 12 | 12 | 49.33 | 26.67 | 100 | 0.835 |
No | 9.09 | 9.09 | 45.45 | 36.36 | 100 |
Daily total load | Categories | Systolic hypertension | Diastolic hypertension | Systolic-diastolic hypertension | Normal | Total | P-value |
|---|---|---|---|---|---|---|---|
Age | <50 years | 17.1 | 2.4 | 34.2 | 46.3 | 100 | 0.047 |
≥50 years | 7.1 | 19.6 | 28.6 | 44.6 | 100 | ||
Sex | Female | 9.4 | 12.5 | 28.1 | 50.0 | 100 | 0.57 |
Male | 15.2 | 12.1 | 36.4 | 36.4 | 100 | ||
Smoking | Yes | 0.0 | 66.7 | 33.3 | 0.0 | 100 | |
No | 10.6 | 11.8 | 32.9 | 44.7 | 100 | 0.041 | |
Former | 22.2 | 0.0 | 11.1 | 66.7 | 100 | ||
Alcohol | Yes | 12.5 | 31.3 | 25.0 | 31.3 | 100 | 0.086 |
No | 11.1 | 8.6 | 32.1 | 48.2 | 100 | ||
Physical inactivity | Yes | 14.3 | 9.5 | 33.3 | 42.9 | 100 | 0.731 |
No | 9.1 | 14.6 | 29.1 | 47.3 | 100 | ||
Diabetes | Yes | 0 | 6.25 | 37.5 | 56.5 | 100 | 0.318 |
No | 13.58 | 13.58 | 29.63 | 43.1 | 100 | ||
BMI | Thinness | 0 | 0 | 0 | 100 | 100 | |
Normal | 8.7 | 8.7 | 26.09 | 56.52 | 0.398 | ||
Overweight | 13.33 | 6.67 | 31.11 | 48.89 | |||
Obesity | 10.71 | 25 | 35.71 | 28.57 | |||
Abdominal Obesity | Yes | 10.67 | 14.67 | 32 | 42.67 | 100 | 0.533 |
No | 13.64 | 4.55 | 27.27 | 54.55 | 100 |
Discordance (Clinical vs ABPM) | Coefficient | Odd-Ratio | Standard error | P>z |
|---|---|---|---|---|
Age | 0.028 | 1.03 | 0.018 | 0.124 |
Sex-Male | -0.559 | 0.57 | 0.538 | 0.299 |
Alcohol | 1.626 | 5.08 | 0.607 | 0.007 |
Dyslipidemia | -0.709 | 0.49 | 0.545 | 0.193 |
ABPM | Ambulatory Blood Pressure Monitoring |
BMI | Body Mass Index |
HTN | Hypertension |
OR | Odds Ratio |
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APA Style
Gaye, N. D., Mingou, J. S., Kaba, C., Ndiaye, M., Diouf, M. T., et al. (2026). Diagnostic Value of Ambulatory Blood Pressure Monitoring for Hypertension in Private Cardiology Practice in Senegal. Cardiology and Cardiovascular Research, 10(3), 55-62. https://doi.org/10.11648/j.ccr.20261003.15
ACS Style
Gaye, N. D.; Mingou, J. S.; Kaba, C.; Ndiaye, M.; Diouf, M. T., et al. Diagnostic Value of Ambulatory Blood Pressure Monitoring for Hypertension in Private Cardiology Practice in Senegal. Cardiol. Cardiovasc. Res. 2026, 10(3), 55-62. doi: 10.11648/j.ccr.20261003.15
AMA Style
Gaye ND, Mingou JS, Kaba C, Ndiaye M, Diouf MT, et al. Diagnostic Value of Ambulatory Blood Pressure Monitoring for Hypertension in Private Cardiology Practice in Senegal. Cardiol Cardiovasc Res. 2026;10(3):55-62. doi: 10.11648/j.ccr.20261003.15
@article{10.11648/j.ccr.20261003.15,
author = {Ngone Diaba Gaye and Joseph Salvador Mingou and Coumba Kaba and Malick Ndiaye and Marguerite Tening Diouf and Khadim Sene and Lamine Ly and Seydina Oumar Gueye and Mamadou Adama Thiam and Constance Cabrel and Mouhamadou Bamba Ndiaye and Maboury Diao and Alassane Mbaye and Abdoul Kane and Aliou Alassane Ngaide},
title = {Diagnostic Value of Ambulatory Blood Pressure Monitoring for Hypertension in Private Cardiology Practice in Senegal},
journal = {Cardiology and Cardiovascular Research},
volume = {10},
number = {3},
pages = {55-62},
doi = {10.11648/j.ccr.20261003.15},
url = {https://doi.org/10.11648/j.ccr.20261003.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ccr.20261003.15},
abstract = {Hypertension is a major contributor to cardiovascular morbidity and mortality. Ambulatory blood pressure monitoring (ABPM) complements office blood pressure measurement by detecting white-coat hypertension, masked hypertension, and nocturnal blood pressure abnormalities, and this study aimed to assess its diagnostic value in the management of hypertension in private cardiology practice in Senegal. A prospective, descriptive, and analytical study was conducted from July to September 2024 at Clinique Urgence Cardio in Dakar, including patients aged 18 years or older with a valid 24-hour ABPM recording. Clinical, anthropometric, and treatment data, together with cardiovascular risk factors, were collected; office and ambulatory blood pressure measurements were compared; and logistic regression was used to identify factors associated with discordance between the two methods. Of the 104 patients assessed, 97 had valid ABPM recordings. The mean age was 53.2 ± 14.1 years, and women predominated. Cardiovascular risk factors included abdominal obesity (77.3%), known hypertension (54.6%), physical inactivity (43.3%), dyslipidemia (37.1%), and diabetes (16.5%). Mean office blood pressure was 145.7/91.4 mmHg, compared with 130.5/80.2 mmHg over 24 hours, 134.4/82.4 mmHg during daytime, and 125/75 mmHg during nighttime. ABPM identified sustained hypertension in 53.61% of patients, white-coat hypertension in 18.56%, masked hypertension in 9.28%, and normotension in 18.56%, with overall agreement between office and ambulatory measurements of 72.2%. Among patients with elevated office blood pressure, 25.7% had white-coat hypertension, while 33.3% of those with normal office blood pressure had masked hypertension. Non-dipping and reverse-dipping patterns were observed in 45.4% and 19.6% of patients, respectively, and discordance was independently associated with alcohol consumption (OR = 5.08; p = 0.007). ABPM improves the diagnostic classification of hypertension and reveals a high prevalence of discordant phenotypes and nocturnal blood pressure abnormalities, and wider use of ABPM may help optimize patient management in this setting.},
year = {2026}
}
TY - JOUR T1 - Diagnostic Value of Ambulatory Blood Pressure Monitoring for Hypertension in Private Cardiology Practice in Senegal AU - Ngone Diaba Gaye AU - Joseph Salvador Mingou AU - Coumba Kaba AU - Malick Ndiaye AU - Marguerite Tening Diouf AU - Khadim Sene AU - Lamine Ly AU - Seydina Oumar Gueye AU - Mamadou Adama Thiam AU - Constance Cabrel AU - Mouhamadou Bamba Ndiaye AU - Maboury Diao AU - Alassane Mbaye AU - Abdoul Kane AU - Aliou Alassane Ngaide Y1 - 2026/08/24 PY - 2026 N1 - https://doi.org/10.11648/j.ccr.20261003.15 DO - 10.11648/j.ccr.20261003.15 T2 - Cardiology and Cardiovascular Research JF - Cardiology and Cardiovascular Research JO - Cardiology and Cardiovascular Research SP - 55 EP - 62 PB - Science Publishing Group SN - 2578-8914 UR - https://doi.org/10.11648/j.ccr.20261003.15 AB - Hypertension is a major contributor to cardiovascular morbidity and mortality. Ambulatory blood pressure monitoring (ABPM) complements office blood pressure measurement by detecting white-coat hypertension, masked hypertension, and nocturnal blood pressure abnormalities, and this study aimed to assess its diagnostic value in the management of hypertension in private cardiology practice in Senegal. A prospective, descriptive, and analytical study was conducted from July to September 2024 at Clinique Urgence Cardio in Dakar, including patients aged 18 years or older with a valid 24-hour ABPM recording. Clinical, anthropometric, and treatment data, together with cardiovascular risk factors, were collected; office and ambulatory blood pressure measurements were compared; and logistic regression was used to identify factors associated with discordance between the two methods. Of the 104 patients assessed, 97 had valid ABPM recordings. The mean age was 53.2 ± 14.1 years, and women predominated. Cardiovascular risk factors included abdominal obesity (77.3%), known hypertension (54.6%), physical inactivity (43.3%), dyslipidemia (37.1%), and diabetes (16.5%). Mean office blood pressure was 145.7/91.4 mmHg, compared with 130.5/80.2 mmHg over 24 hours, 134.4/82.4 mmHg during daytime, and 125/75 mmHg during nighttime. ABPM identified sustained hypertension in 53.61% of patients, white-coat hypertension in 18.56%, masked hypertension in 9.28%, and normotension in 18.56%, with overall agreement between office and ambulatory measurements of 72.2%. Among patients with elevated office blood pressure, 25.7% had white-coat hypertension, while 33.3% of those with normal office blood pressure had masked hypertension. Non-dipping and reverse-dipping patterns were observed in 45.4% and 19.6% of patients, respectively, and discordance was independently associated with alcohol consumption (OR = 5.08; p = 0.007). ABPM improves the diagnostic classification of hypertension and reveals a high prevalence of discordant phenotypes and nocturnal blood pressure abnormalities, and wider use of ABPM may help optimize patient management in this setting. VL - 10 IS - 3 ER -