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Text messages for primary prevention of cardiovascular disease: The TextMe2 randomized clinical trial - 30/10/21

Doi : 10.1016/j.ahj.2021.08.009 
Harry Klimis, MBBS, FRACP, PhD a, b, , Aravinda Thiagalingam, MBChB, FRACP, FCSANZ, PhD a, b, Daniel McIntyre, BSc(MedSc) a, Simone Marschner, MSc a, Amy Von Huben, MBiostat a, Clara K. Chow, MBBS, FRACP, PhD a, b
a Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, Australia 
b Department of Cardiology, Westmead Hospital, Sydney, NSW, Australia 

Reprint requests: Harry Klimis, MBBS, FRACP, PhD The University of Sydney, Faculty of Medicine and Health, Westmead Hospital Cardiology, Westmead Applied Research Centre, Level 6, Block K, Entrance 10, Hawkesbury Road, Westmead, NSW 2145, AustraliaHarry Klimis, MBBS, FRACP, PhD The University of Sydney, Faculty of Medicine and Health, Westmead Hospital Cardiology, Westmead Applied Research CentreLevel 6, Block K, Entrance 10, Hawkesbury Road, Westmead, NSW 2145Australia

Résumé

Background

Primary prevention guidelines emphasize the importance of lifestyle modification, but many at high-risk have suboptimal cardiovascular risk factor (CVRF) control. Text message support may improve control, but the evidence is sparse. Our objective was to determine the impact of text messages on multiple CVRFs in a moderate-high risk primary prevention cohort.

Methods

This study was a single-blind randomized clinical trial comparing semi-personalized text message-based support to standard care. A random sample of adults with 10-year absolute cardiovascular risk score ≥10% and without coronary heart disease, referred from February 2019 to January 2020, were recruited from an outpatient cardiology clinic in a large tertiary hospital in Sydney, Australia. Patients were randomized 1:1 to intervention or control. Intervention participants received 4 texts per week over 6 months, and standard care, with content covering: diet, physical activity, smoking, general cardiovascular health, and medication adherence. Controls received standard care only. Content was semipersonalized (smoking status, vegetarian or not-vegetarian, physical ability, taking medications or not) and delivered randomly using automated software. The primary outcome was the difference in the proportion of patients who have ≥3 uncontrolled CVRFs (out of: low-density lipoprotein cholesterol >2.0 mmol/L, blood pressure >140/90 mm Hg, body mass index ≥25 kg/m2, physical inactivity, current smoker) at 6 months adjusted for baseline. Secondary outcomes included differences in biomedical and behavioral CVRFs.

Results

Among 295 eligible participants, 246 (mean age, 58.6 ± 10.7 years; 39.4% female) were randomized to intervention (n = 124) or control (n = 122). At 6 months, there was no significant difference in the proportion of patients with ≥3 uncontrolled CVRFs (adjusted relative risk [RR] 0.98; 95% confidence interval [CI] 0.75-1.29; P = .88). Intervention participants were less likely to be physically inactive (adjusted RR 0.72; 95% CI 0.57-0.92; P = .01), but there were no significant changes in other single CVRFs. More intervention participants reduced the number of uncontrolled CVRFs at 6-months from baseline than controls (86% vs 75%; RR 1.15; 95% CI 1.00-1.32; P = .04).

Conclusions

In moderate-high cardiovascular risk primary prevention, text message-based support did not significantly reduce the proportion of patients with ≥3 uncontrolled CVRFs. However, the program did motivate behavior change and significantly improved cardiovascular risk factor control overall. Larger multicenter studies are needed.

Le texte complet de cet article est disponible en PDF.

Plan


 Clinical trial registration: anzctr.org.au Identifier: ACTRN12618001153202.


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Vol 242

P. 33-44 - décembre 2021 Retour au numéro
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