Evidence map›Paper›PMID 37198541›Full record

ArticleBMC cardiovascular disorders2023

Comparison between central and automated peripheral blood pressure measurement for early detection of kidney dysfunction in hypertensive patients.

Ahmed Abdel-Galeel, Nader N Fawzy, Wageeh A Ali, Doaa A Fouad

Open access · goldAbstract read
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Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
0.2field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ahmed Abdel-GaleelCardiovascular Medicine Department, Assiut University Heart Hospital, Assiut University, Assiut, Egypt. ahmed.galeel@aun.edu.eg.
Nader N FawzyCardiovascular Medicine Department, Assiut University Heart Hospital, Assiut University, Assiut, Egypt.
Wageeh A AliRadiodiagnosis Department, Assiut University Hospital, Assiut University, Assiut, Egypt.
Doaa A FouadCardiovascular Medicine Department, Assiut University Heart Hospital, Assiut University, Assiut, Egypt.
Assiut University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a close relationship between blood pressure levels and the risk of cardiovascular events, strokes, and kidney disease. For many years, the gold standard instrument for blood pressure measurement was a mercury sphygmomanometer and a stethoscope, but this century-old technique of Riva-Rocci/Korotkov is being progressively removed from clinical practice. Central blood pressure is considered better than peripheral blood pressure in predicting cardiovascular events, as it assesses wave reflections and viscoelastic properties of the arterial wall which make systolic and pulse pressures vary from central to peripheral arteries, but mean blood pressure is constant in the conduit arteries.

methodsThe study included 201 patients with primary hypertension (108 patients with chronic kidney disease and 93 patients without kidney disease). All patients underwent blood pressure measurement by OMRON M2 and Mobil-O-Graph devices, kidney function assessment and abdominal ultrasonography.

resultsPatients with chronic kidney disease were significantly older (60.02 ± 9.1 vs. 55.33 ± 8.5; P < 0.001), with longer duration of hypertension (7.56 ± 5.9 vs. 6.05 ± 5.8; P = 0.020) in comparison to those without chronic kidney disease. Automated peripheral measurement of systolic blood pressure, diastolic blood pressure and pulse pressure were significantly higher in comparison to central blood pressure. Patients with chronic kidney disease had significantly higher augmentation index (24.06 ± 12.6 vs. 19.02 ± 10.8; P < 0.001) and pulsed wave velocity (8.66 ± 1.5 vs. 8.69 ± 6.8; P = 0.004) in comparison to those without chronic kidney disease. Augmentation index had positive correlation with pulse wave velocity (r = 0.183, P = 0.005). There was negative correlation between both pulse wave velocity and augmentation index and estimated glomerular filtration rate (r = -0.318, P < 0.001), and (r = -0.236, P < 0.001), respectively. Hence, arterial stiffness parameters are good positive test for prediction of chronic kidney disease.

conclusionThere is a strong agreement between non-invasive centrally and automated peripherally measured blood pressure in diagnosis of hypertension. But non-invasive central measurements are preferred over automated measurements for early prediction and detection of renal impairment.

Indexed as

HypertensionRenal InsufficiencyRenal Insufficiency, ChronicVascular StiffnessBlood PressureHumansKidneyPulse Wave AnalysisCentral blood pressureChronic kidney diseaseHypertension

Identifiers

PMID37198541
PMCPMC10193777
OpenAlexW4376958970

What Socratic holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.