Phenotyping of masked hypertension based on the clustering of 24-hour blood pressure monitoring data
Aim. Phenotyping of masked hypertension (MH) based on clustering of 24-hour ambulatory blood pressure monitoring (ABPM) results data and comparing it with indicators of target organ damage.Material and methods. We retrospectively analyzed medical records of 207 men with a median age of 34,6 years an...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | Russian |
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«FIRMA «SILICEA» LLC
2020-04-01
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| Series: | Российский кардиологический журнал |
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| Online Access: | https://russjcardiol.elpub.ru/jour/article/view/3286 |
| _version_ | 1797856793291915264 |
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| author | B. I. Geltser K. I. Shakhgeldyan V. N. Kotelnikov O. O. Vetrova V. V. Orlova-Ilyinskaya R. S. Karpov |
| author_facet | B. I. Geltser K. I. Shakhgeldyan V. N. Kotelnikov O. O. Vetrova V. V. Orlova-Ilyinskaya R. S. Karpov |
| author_sort | B. I. Geltser |
| collection | DOAJ |
| description | Aim. Phenotyping of masked hypertension (MH) based on clustering of 24-hour ambulatory blood pressure monitoring (ABPM) results data and comparing it with indicators of target organ damage.Material and methods. We retrospectively analyzed medical records of 207 men with a median age of 34,6 years and normal office blood pressure (BP), who were systematically exposed to occupational stressors and were undergoing a routine in-patient examination. All patients underwent ABPM, echocardiography, carotid ultrasound, glomerular filtration rate estimation. The clustering of ABPM data was carried out using the Kohonen self-organizing neural networks and K-means algorithm. Data processing was performed in the R programming language using the RStudio environment.Results. MH was diagnosed in 142 (68,6%) patients which were divided into 3 clusters according to 4 criteria factors of ABPM: systolic-diastolic (SDMH) — 50,7%, isolated systolic (ISMH) — 27,5% and isolated diastolic (IDMH) — 21,8%. Majority (51,4%) of patients with SDMH were characterized by a relatively balanced distribution of episodes of increased systolic and diastolic BP during the day, and other ratios were much less common. In patients with ISMH, hypertension prevailed in the daylight, and in IDMР — nighttime. Individual clusters differed significantly in terms of the 24-hour BP profile and signs of target organ damage. Various types of cardiac remodeling were recorded in 24 (17%) patients with MH, 16 (66,7%) of which belonged to the SDMH phenotype. Intima-media thickening >0,9 mm occurred in 40% of patients with IDMH, in 30% — SDMH and only 9% — ISMH. At the same time, the majority of patients with glomerular hyperfiltration was recorded in patients with ISMH (20,5%), and with hypofiltration — IDMH (29%) and SDMH (23,6%).Conclusion. Modern technologies of clustering increase the effectiveness of risk stratification for patients with MH, and contribute to the personification of preventive and therapeutic programs. |
| first_indexed | 2024-04-09T20:46:16Z |
| format | Article |
| id | doaj.art-131f0315843046bfb9a90c9411086fed |
| institution | Directory Open Access Journal |
| issn | 1560-4071 2618-7620 |
| language | Russian |
| last_indexed | 2024-04-09T20:46:16Z |
| publishDate | 2020-04-01 |
| publisher | «FIRMA «SILICEA» LLC |
| record_format | Article |
| series | Российский кардиологический журнал |
| spelling | doaj.art-131f0315843046bfb9a90c9411086fed2023-03-29T21:23:33Zrus«FIRMA «SILICEA» LLCРоссийский кардиологический журнал1560-40712618-76202020-04-0125310.15829/1560-4071-2020-3-32862700Phenotyping of masked hypertension based on the clustering of 24-hour blood pressure monitoring dataB. I. Geltser0K. I. Shakhgeldyan1V. N. Kotelnikov2O. O. Vetrova3V. V. Orlova-Ilyinskaya4R. S. Karpov5Far Eastern Federal UniversityFar Eastern Federal University; Vladivostok State University of Economics and ServiceFar Eastern Federal UniversityFar Eastern Federal UniversityFar Eastern Federal UniversityTomsk National Research Medical Center, Cardiology Research InstituteAim. Phenotyping of masked hypertension (MH) based on clustering of 24-hour ambulatory blood pressure monitoring (ABPM) results data and comparing it with indicators of target organ damage.Material and methods. We retrospectively analyzed medical records of 207 men with a median age of 34,6 years and normal office blood pressure (BP), who were systematically exposed to occupational stressors and were undergoing a routine in-patient examination. All patients underwent ABPM, echocardiography, carotid ultrasound, glomerular filtration rate estimation. The clustering of ABPM data was carried out using the Kohonen self-organizing neural networks and K-means algorithm. Data processing was performed in the R programming language using the RStudio environment.Results. MH was diagnosed in 142 (68,6%) patients which were divided into 3 clusters according to 4 criteria factors of ABPM: systolic-diastolic (SDMH) — 50,7%, isolated systolic (ISMH) — 27,5% and isolated diastolic (IDMH) — 21,8%. Majority (51,4%) of patients with SDMH were characterized by a relatively balanced distribution of episodes of increased systolic and diastolic BP during the day, and other ratios were much less common. In patients with ISMH, hypertension prevailed in the daylight, and in IDMР — nighttime. Individual clusters differed significantly in terms of the 24-hour BP profile and signs of target organ damage. Various types of cardiac remodeling were recorded in 24 (17%) patients with MH, 16 (66,7%) of which belonged to the SDMH phenotype. Intima-media thickening >0,9 mm occurred in 40% of patients with IDMH, in 30% — SDMH and only 9% — ISMH. At the same time, the majority of patients with glomerular hyperfiltration was recorded in patients with ISMH (20,5%), and with hypofiltration — IDMH (29%) and SDMH (23,6%).Conclusion. Modern technologies of clustering increase the effectiveness of risk stratification for patients with MH, and contribute to the personification of preventive and therapeutic programs.https://russjcardiol.elpub.ru/jour/article/view/3286masked hypertensionclusteringtarget organs |
| spellingShingle | B. I. Geltser K. I. Shakhgeldyan V. N. Kotelnikov O. O. Vetrova V. V. Orlova-Ilyinskaya R. S. Karpov Phenotyping of masked hypertension based on the clustering of 24-hour blood pressure monitoring data Российский кардиологический журнал masked hypertension clustering target organs |
| title | Phenotyping of masked hypertension based on the clustering of 24-hour blood pressure monitoring data |
| title_full | Phenotyping of masked hypertension based on the clustering of 24-hour blood pressure monitoring data |
| title_fullStr | Phenotyping of masked hypertension based on the clustering of 24-hour blood pressure monitoring data |
| title_full_unstemmed | Phenotyping of masked hypertension based on the clustering of 24-hour blood pressure monitoring data |
| title_short | Phenotyping of masked hypertension based on the clustering of 24-hour blood pressure monitoring data |
| title_sort | phenotyping of masked hypertension based on the clustering of 24 hour blood pressure monitoring data |
| topic | masked hypertension clustering target organs |
| url | https://russjcardiol.elpub.ru/jour/article/view/3286 |
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