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  • 1.
    Al-Karkhi, Isam
    et al.
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences.
    Al-Rubaiy, Raad
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences.
    Rosenqvist, Ulf
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Local Health Care Services in West Östergötland, Department of Medical Specialist in Motala.
    Falk, Magnus
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Local Health Care Services in Central Östergötland, Primary Health Care in Central County. Östergötlands Läns Landsting, Local Health Care Services in West Östergötland, Research & Development Unit in Local Health Care.
    Nyström, Fredrik H
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Endocrinology.
    Comparisons of automated blood pressures in a primary health care setting with self-measurements at the office and at home using the Omron i-C10 device2015In: Blood Pressure Monitoring, ISSN 1359-5237, E-ISSN 1473-5725, Vol. 20, no 2, p. 98-103Article in journal (Refereed)
    Abstract [en]

    OBJECTIVE: We aimed to compare blood pressure (BP) levels recorded using the semiautomatic oscillometric Omron i-C10 BP device in patients with or without hypertension in three different settings: (a) when used by a doctor or a nurse at the office (OBP); (b) when used for self-measurement by the patient at the office (SMOBP); and (c) when used for 7 consecutive days at home (HBP).

    MATERIALS AND METHODS: A total of 247 individuals were invited to participate, but 78 of these individuals declined and a further seven were excluded, leaving a final cohort of 162 participants.

    RESULTS: The mean OBP was higher than HBP (difference 8.1±14/3.1±8.8 mmHg, P<0.0001) and so was SMOBP compared with HBP (difference 7.0±13/4.2±7.3 mmHg, P<0.0001). Sixteen participants (9.9%) had at least 10 mmHg higher systolic SMOBP than OBP and 28 (17%) participants had at least 10 mmHg lower systolic SMOBP than OBP. Participants who were current smokers had a larger mean difference between systolic OBP and SMOBP than nonsmokers (OBP-SMOBP in smokers: 6.6±9.4 mmHg, OBP-SMOBP in nonsmokers: 0.5±9.2 mmHg, P=0.011 between groups).

    CONCLUSION: Self-measurement of BP in the office does not preclude an increase in BP when levels in the individual patients are compared with HBP using the same equipment. Thus, SMOBP with a semiautomatic device does not lead to a reduction in the white-coat effect in the same manner as fully automatic devices.This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. http://creativecommons.org/licenses/by-nc-nd/3.0.

  • 2.
    Wijkman, Magnus
    et al.
    Linköping University, Department of Medical and Health Sciences, Internal Medicine. Linköping University, Faculty of Health Sciences.
    Länne, Toste
    Linköping University, Department of Medical and Health Sciences, Physiology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Centre, Department of Thoracic and Vascular Surgery in Östergötland.
    Grodzinsky, Ewa
    Linköping University, Department of Medical and Health Sciences, General Practice. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Local Health Care Services in the West of Östergötland, Unit of Research and Development in Local Health Care, County of Östergötland.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, General Practice. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Local Health Care Services in the West of Östergötland, Primary Health Care Centres.
    Engvall, Jan
    Linköping University, Department of Medical and Health Sciences, Clinical Physiology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Centre, Department of Clinical Physiology UHL.
    Nyström, Fredrik
    Linköping University, Department of Medical and Health Sciences, Internal Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Centre, Department of Endocrinology and Gastroenterology UHL.
    Ambulatory systolic blood pressure predicts left ventricular mass in type 2 diabetes, independently of central systolic blood pressure2012In: Blood Pressure Monitoring, ISSN 1359-5237, E-ISSN 1473-5725, Vol. 17, no 4, p. 139-144Article in journal (Refereed)
    Abstract [en]

    Objectives: Both ambulatory and central blood pressures have been reported to correlate more closely than office blood pressure with left ventricular mass index (LVMI). The aim of this study was to test whether ambulatory systolic blood pressure (SBP) predicts LVMI independently of central SBP in patients with type 2 diabetes.

    Methods: We determined office, ambulatory and central blood pressures and performed echocardiography in 460 patients with type 2 diabetes, who participated in the CARDIPP (Cardiovascular Risk factors in Patients with Diabetes – a Prospective study in Primary care) study (ClinicalTrials.gov number NCT 01049737).

    Results: In separate multivariable regression models, both 24-hour ambulatory SBP, ambulatory day-time SBP, and ambulatory night-time SBP were significantly associated with LVMI, independently of central SBP, age, sex, BMI, ambulatory 24-hour heart rate, duration of known diabetes and presence or absence of any antihypertensive medications (r = 0.19, 0.17 and 0.18, respectively, P <0.01). All ambulatory SBP parameters, but not central SBP, were significantly associated with LVMI independently of office SBP.

    Conclusions: Ambulatory SBP predicted LVMI independently of central SBP in patients with type 2 diabetes. The use of ambulatory blood pressure measurements may be encouraged as a tool for refined risk stratification of patients with type 2 diabetes.

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