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Keywords = automated office blood pressure measurement

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12 pages, 1305 KB  
Article
The Prognostic Role of Automated Office Blood Pressure Measurement in Hypertensive Patients with Chronic Kidney Disease
by Konstantinos Psounis, Emmanuel Andreadis, Theodora Oikonomaki, Stefanos Roumeliotis, Vasileios Margellos, Elias Thodis, Ploumis Passadakis and Stylianos Panagoutsos
Healthcare 2023, 11(10), 1360; https://doi.org/10.3390/healthcare11101360 - 9 May 2023
Cited by 2 | Viewed by 1794
Abstract
Background: The aim of this study was to evaluate the prognostic value of automated office blood pressure (AOBP) measurement in patients with hypertension and chronic kidney disease (CKD) stage 3–5 not on dialysis. Methods: At baseline, 140 patients were recruited, and blood pressure [...] Read more.
Background: The aim of this study was to evaluate the prognostic value of automated office blood pressure (AOBP) measurement in patients with hypertension and chronic kidney disease (CKD) stage 3–5 not on dialysis. Methods: At baseline, 140 patients were recruited, and blood pressure (BP) measurements with 3 different methods, namely, office blood pressure (OBP), AOBP, and ambulatory blood pressure measurement (ABPM), were recorded. All patients were prospectively followed for a median period of 3.4 years. The primary outcome of this study was a composite outcome of cardiovascular (CV) events (both fatal and nonfatal) or a doubling of serum creatine or progression to end-stage kidney disease (ESKD), whichever occurred first. Results: At baseline, the median age of patients was 65.2 years; 36.4% had diabetes; 21.4% had a history of CV disease; the mean of estimated glomerular filtration rate (eGFR) was 33 mL/min/1.73 m2; and the means of OBP, AOBP, and daytime ABPM were 151/84 mm Hg, 134/77 mm Hg, and 132/77 mm Hg, respectively. During the follow-up, 18 patients had a CV event, and 37 patients had a renal event. In the univariate cox regression analysis, systolic AOBP was found to be predictive of the primary outcome (HR per 1 mm Hg increase in BP, 1.019, 95% CI 1.003–1.035), and after adjustment for eGFR, smoking status, diabetes, and a history of CV disease and systolic and diastolic AOBP were also found to be predictive of the primary outcome (HR per 1 mm Hg increase in BP, 1.017, 95% CI 1.002–1.032 and 1.033, 95% CI 1.009–1.058, respectively). Conclusions: In patients with CKD, AOBP appears to be prognostic of CV risk or risk for kidney disease progression and could, therefore, be considered a reliable means for recording BP in the office setting. Full article
(This article belongs to the Section Chronic Care)
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10 pages, 282 KB  
Article
Microalbuminuria and Hypertension among Immigrants with Type 2 Diabetes: A Community-Based Cross-Sectional Study
by Shiryn D. Sukhram, Gustavo G. Zarini, Lemia H. Shaban, Joan A. Vaccaro and Fatma G. Huffman
J. Pers. Med. 2022, 12(11), 1777; https://doi.org/10.3390/jpm12111777 - 28 Oct 2022
Cited by 1 | Viewed by 2266
Abstract
Purpose: This study examined the association of microalbuminuria (MAU), as determined by albumin-to-creatinine ratio (ACR), with hypertension (HTN) among Turkish immigrants with type 2 diabetes (T2D) living in deprived neighborhoods of The Hague, Netherlands. Methods: A total of 110 participants, physician-diagnosed with T2D, [...] Read more.
Purpose: This study examined the association of microalbuminuria (MAU), as determined by albumin-to-creatinine ratio (ACR), with hypertension (HTN) among Turkish immigrants with type 2 diabetes (T2D) living in deprived neighborhoods of The Hague, Netherlands. Methods: A total of 110 participants, physician-diagnosed with T2D, aged ≥ 30 years were recruited from multiple sources from The Hague, Netherlands in a cross-sectional design. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured using automated office blood pressure equipment. Urine albumin was measured by immunoturbidimetric assay. Urine creatinine was determined using the Jaffe method. MAU was defined as ACR ≥ 3.5 mg/mmol for females and/or ACR ≥ 2.5 mg/mmol for males. Results: MAU was present in 21% of Turkish immigrants with T2D. Adjusted logistic regression analysis indicated that the odds of having MAU were 6.6 times higher in hypertensive than those that were normotensive (p = 0.007; 95% confidence interval [CI]: 1.19, 36.4). Conclusion: These findings suggest that HTN and MAU may be assessed as a standard of care for T2D management for this population. Prospective studies of diabetes outcomes are recommended to further verify these findings. Full article
(This article belongs to the Special Issue Frontiers in Chronic Kidney Disease)
7 pages, 302 KB  
Article
High Incidence of Masked Hypertension in Patients with Obstructive Sleep Apnoea Despite Normal Automated Office Blood Pressure Measurement Results
by Milan Sova, Samuel Genzor, Marketa Sovova, Eliska Sovova, Katarina Moravcova, Shayan Nadjarpour and Jana Zapletalova
Adv. Respir. Med. 2020, 88(6), 567-573; https://doi.org/10.5603/ARM.a2020.0198 - 30 Dec 2020
Cited by 5 | Viewed by 1458
Abstract
Introduction: Obstructive sleep apnoea (OSA) is a well-known risk factor for masked hypertension (MH) and masked uncontrolled hypertension (MUCH). Automated ambulatory office blood pressure measurement (AOBP) might better correlate with the results of ambulatory blood pressure measurements (ABPM) compared to routine office blood [...] Read more.
Introduction: Obstructive sleep apnoea (OSA) is a well-known risk factor for masked hypertension (MH) and masked uncontrolled hypertension (MUCH). Automated ambulatory office blood pressure measurement (AOBP) might better correlate with the results of ambulatory blood pressure measurements (ABPM) compared to routine office blood pressure measurement (OBPM). The aim of this study was to compare the diagnostic rate of MH/MUCH when using OBPM and AOBP in combination with ABPM. Material and methods: 65 OSA patients, of which 58 were males, (AHI > 5, mean 44.4; range 5–103) of average age 48.8 ± 10.7 years were involved in this study. Following MH/MUCH criteria were used; Criteria I: OBPM < 140/90 mm Hg and daytime ABPM > 135/85 mm Hg; Criteria II: AOBP < 140/90 mm Hg and daytime ABPM > 135/85 mm Hg; Criteria III: AOBP < 135/85 mm Hg and daytime ABPM > 135/85 mm Hg. Results: MH/MUCH criteria I was met in 16 patients (24.6%) with criteria II being met in 37 patients (56.9%), and criteria III in 33 (51.0%), p < 0.0001. Both systolic and diastolic OBPM were significantly higher than AOBP; Systolic (mm Hg): 135.3 ± 12.3 vs. 122.1 ± 10.1 (p < 0.0001); Diastolic (mm Hg): 87.4 ± 8.9 vs. 77.1 ± 9.3 (p < 0.0001). AOBP was significantly lower than daytime ABPM; Systolic (mm Hg): 122.1 ± 10.1 vs. 138.9 ± 10.5 (p < 0.0001); Diastolic (mm Hg): 77.1 ± 9.3 vs. 81.6 ± 8.1 (p < 0.0001). Non-dipping phenomenon was present in 38 patients (58.4%). Nocturnal hypertension was present in 55 patients (84.6%). Conclusions: In patients with OSA there is a much higher prevalence of MH/MUCH despite normal AOBP, therefore it is necessary to perform a 24-hour ABPM even if OBPM and AOBP are normal. Full article
15 pages, 363 KB  
Article
Uncertainty in Blood Pressure Measurement Estimated Using Ensemble-Based Recursive Methodology
by Soojeong Lee, Hilmi R Dajani, Sreeraman Rajan, Gangseong Lee and Voicu Z Groza
Sensors 2020, 20(7), 2108; https://doi.org/10.3390/s20072108 - 8 Apr 2020
Cited by 11 | Viewed by 3307
Abstract
Automated oscillometric blood pressure monitors are commonly used to measure blood pressure for many patients at home, office, and medical centers, and they have been actively studied recently. These devices usually provide a single blood pressure point and they are not able to [...] Read more.
Automated oscillometric blood pressure monitors are commonly used to measure blood pressure for many patients at home, office, and medical centers, and they have been actively studied recently. These devices usually provide a single blood pressure point and they are not able to indicate the uncertainty of the measured quantity. We propose a new technique using an ensemble-based recursive methodology to measure uncertainty for oscillometric blood pressure measurements. There are three stages we consider: the first stage is pre-learning to initialize good parameters using the bagging technique. In the second stage, we fine-tune the parameters using the ensemble-based recursive methodology that is used to accurately estimate blood pressure and then measure the uncertainty for the systolic blood pressure and diastolic blood pressure in the third stage. Full article
(This article belongs to the Special Issue Artificial Intelligence in Medical Sensors)
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