Accuracy of automated cuff blood pressure monitors in special populations: International Organization for Standardization (ISO) Task Group report and call for research

Author:

Stergiou George S.1,Menti Ariadni1,Asayama Kei23,De La Sierra Alejandro4,Wang Jiguang5,Kinoshita Hiroyuki6,Sawanoi Yukiya6,Yamashita Shingo6,Kollias Anastasios1,Wu Colin O.7,Ichikawa Tsutomu6,Alpert Bruce8

Affiliation:

1. Hypertension Center STRIDE-7, National and Kapodistrian University of Athens, School of Medicine, Third Department of Medicine, Sotiria Hospital, Athens, Greece

2. Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo

3. Tohoku Institute for Management of Blood Pressure, Sendai, Japan

4. Hypertension Unit, Department of Internal Medicine, Hospital Mútua Terrassa, University of Barcelona, Barcelona, Spain

5. Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China

6. Omron Healthcare, Kyoto, Japan

7. Office of Biostatistics Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA

8. Department of Pediatrics, University of Tennessee Health Science Center, Memphis (Retired), Tennessee, USA, Convenor ISO JWG7 Committee

Abstract

Objective: Automated cuff blood pressure (BP) devices are widely used for ambulatory, home, and office BP measurement. However, an automated device, which is accurate in the general adult population may be inaccurate in some special populations. A 2018 Collaborative Statement by the US Association for the Advancement of Medical Instrumentation, the European Society of Hypertension, and the International Organization for Standardization (ISO) considered three special populations requiring separate validation (age <3 years, pregnancy, and atrial fibrillation). An ISO Task Group was appointed to identify evidence for additional special populations. Method: Evidence on potential special populations was identified from the STRIDE BP database, which performs systematic PubMed searches for published validation studies of automated cuff BP monitors. Devices that passed in a general population, but failed in potential special populations were identified. Results: Of 338 publications (549 validations, 348 devices) in the STRIDE BP database, 29 publications (38 validations, 25 devices) involved 4 potential special populations: (i) age 12–18 years: 3 of 7 devices failed but passed in a general population; (ii) age more than 65 years: 1 of 11 devices failed but passed in a general population; (iii) diabetes type-2: 4 devices (all passed); (iv) chronic kidney disease: 2 of 7 devices failed but passed in a general population. Conclusion: Some evidence suggest that the automated cuff BP devices may have different accuracy in adolescents and in patients with chronic kidney disease than in the general population. More research is needed to confirm these findings and investigate other potential special populations.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine,Physiology,Internal Medicine

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