55 Comparison of the Blood Pressure Measurement Results Using Mercury Sphygmomanometer and Oscillometric Sphygmomanometer

2017 ◽  
Vol 35 ◽  
pp. e8
Author(s):  
Visakha Revana Irawan ◽  
Gerry Setiawan ◽  
David Susanto ◽  
Yuda Turana
2013 ◽  
Vol 15 (11) ◽  
pp. 839-844 ◽  
Author(s):  
Niels V. van der Hoeven ◽  
Sophie Lodestijn ◽  
Stephanie Nanninga ◽  
Gert A. van Montfrans ◽  
Bert-Jan H. van den Born

2016 ◽  
Vol 4 (3) ◽  
pp. 404-409 ◽  
Author(s):  
Kanaan Mansoor ◽  
Saba Shahnawaz ◽  
Mariam Rasool ◽  
Huwad Chaudhry ◽  
Gul Ahuja ◽  
...  

BACKGROUND: Hypertension has proven to be a strong liability with 13.5% of all mortality worldwide being attributed to elevated blood pressures in 2001. An accurate blood pressure measurement lies at the crux of an appropriate diagnosis. Despite the mercury sphygmomanometer being the gold standard, the ongoing deliberation as to whether mercury sphygmomanometers should be replaced with the automated oscillometric devices stems from the risk mercury poses to the environment.AIM: This study was performed to check the validity of automated oscillometric blood pressure measurements as compared to the manual blood pressure measurements in Karachi, Pakistan.MATERIAL AND METHODS: Blood pressure was recorded in 200 individuals aged 15 and above using both, an automated oscillometric blood pressure device (Dinamap Procare 100) and a manual mercury sphygmomanometer concomitantly. Two nurses were assigned to each patient and the device, arm for taking the reading and nurses were randomly determined. SPSS version 20 was used for analysis. Mean and standard deviation of the systolic and diastolic measurements from each modality were compared to each other and P values of 0.05 or less were considered to be significant. Validation criteria of British Hypertension Society (BHS) and the US Association for the Advancement of Medical Instrumentation (AAMI) were used. RESULTS: Two hundred patients were included. The mean of the difference of systolic was 8.54 ± 9.38 while the mean of the difference of diastolic was 4.21 ± 7.88. Patients were further divided into three groups of different systolic blood pressure <= 120, > 120 to = 150 and > 150, their means were 6.27 ± 8.39 (p-value 0.175), 8.91 ± 8.96 (p-value 0.004) and 10.98 ± 10.49 (p-value 0.001) respectively. In our study 89 patients were previously diagnosed with hypertension; their difference of mean systolic was 9.43 ± 9.89 (p-value 0.000) and difference of mean diastolic was 4.26 ± 7.35 (p-value 0.000).CONCLUSIONS: Systolic readings from a previously validated device are not reliable when used in the ER and they show a higher degree of incongruency and inaccuracy when they are used outside validation settings. Also, readings from the right arm tend to be more precise.


2009 ◽  
Vol 43 (2) ◽  
pp. 158-163 ◽  
Author(s):  
Puneet Gupta ◽  
Lalita Mittal ◽  
Robert A. Rizzo ◽  
Mahesh Bikkina ◽  
Vincent A. DeBari

Abstract In addition to its ease of use and degree of independence from the subjectivity inherent in measurements made with the mercury sphygmomanometer (HgS), automated blood pressure measurement instruments (ABPMI) obviate the use of mercury-containing instrumentation and the attendant environmental issues. Thus, they have been widely used in healthcare facilities worldwide. Most evaluations of ABPMI have focused on their compliance with established international protocols, and there has been a paucity of studies examining their performance in actual use in healthcare facilities. The purpose of this study was to evaluate the ABPMI used in our institution—a large, urban, tertiary-care teaching hospital in the northeastern United States—under routine conditions. This device, the Dinamap® ProCare 400 Monitor, was compared to HgS (considered the “gold standard” for non-invasive blood pressure measurement) with respect to key analytical variables, i.e., precision of measurements and correlation within a large (n=300) sample of patients. Several sources of observer bias with HgS were detected. Precision varied among parameter (systolic blood pressure [SBP]; diastolic blood pressure [DBP]; and mean arterial pressure [MAP]) and level (normotensive, moderately hypertensive, and severely hypertensive). Correlation and regression suggested a strong association between the methods and Bland-Altman analysis indicated an acceptably small systematic error (bias) but greater random error than that demonstrated by previous evaluations with international test protocols. We recommend that healthcare facilities evaluate ABPMI under actual conditions and that formal protocols be established for these evaluations under routine conditions of patient care.


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