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Enregistrement W3165074130 · doi:10.1093/eurheartj/suab014

May Measurement Month 2019: results of blood pressure screening from 47 countries

2021· article· en· W3165074130 sur OpenAlexaff
Neil R Poulter, Claudio Borghi, Albertino Damasceno, Tazeen H. Jafar, Nadia Khan, Yoshihiro Kokubo, Peter M. Nilsson, Dorairaj Prabhakaran, Markus P. Schlaich, Aletta E. Schutte, George S. Stergiou, Thomas Unger, Thomas Beaney

Notice bibliographique

RevueEuropean Heart Journal Supplements · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueBlood Pressure and Hypertension Studies
Établissements canadiensCentre for Health Evaluation and Outcome Sciences
Organismes subventionnairesServierOmron HealthcareInternational Society of Hypertension
Mots-clésMedicineBlood pressureInternal medicine

Résumé

récupéré en direct d'OpenAlex

There continues to be an inexorable rise in the death toll due to raised blood pressure (BP) which remains the biggest single contributor to global death and the global burden of disease.1 It is estimated that in 2019 about 19% of all deaths (10.8 million) were due to raised BP, having risen from 9.4 million deaths in 2014.2 Hypertension causes over 50% of cases of heart disease, stroke, and heart failure3 and it is estimated that about 10% of global healthcare spending arises from raised BP and its complications.4 Moreover, hypertension-mediated organ damage increases risk of severe infections from COVID-19, including risk of death.5 For any of these reasons, it is critical to prevent and, failing that, identify and manage raised BP that appears to differentially affect the most vulnerable groups in society. Given that BP is easy and inexpensive to measure and that several relatively inexpensive and effective drug classes are available to control hypertension, it is remarkable that a large proportion of people with hypertension remain unaware of their condition and that only a small proportion get their BPs controlled even to the now conservative target of <140/90 mmHg.6,7 This is the background that stimulated the launch of May Measurement Month (MMM) which began as an initiative of the International Society of Hypertension (ISH) in 2016.8 The primary aim of MMM is to raise awareness of the importance of BP measurement at the individual and population level both nationally and globally. The first screening campaign took place in 2017 (MMM17), screening over 1.2 million adults worldwide,9 followed by increasingly successful campaigns in 2018 (MMM18)10 and 2019 (MMM19),11 screening over 1.5 million each. Sadly, due to the COVID-19 pandemic, the 2020 campaign had to be deferred. This supplement presents the data from the 47 individual countries each of which screened at least 2500 adults during MMM19 to complement the two previous supplements reporting national data from the highest screening countries in MMM1712 and MMM18.13 Details of the methods and results of MMM19 have been published previously.10 In summary, the MMM19 campaign was a cross-sectional opportunistic survey of the BP levels of adults (aged ≥18 years) who volunteered to be screened. Screening sites were set up in a wide range of places from clinical settings such as hospitals and pharmacies to public spaces, such as supermarkets. Three sitting BP readings were obtained on each screenee using standardized methods and the mean of the last two was used in the analyses. Those screenees found to have BP levels in the hypertensive range (systolic BP ≥140 mmHg and/or diastolic BP ≥90 mmHg) were given advice on diet and lifestyle to help reduce their BP and locally tailored advice to facilitate further follow-up of their raised BP. Prior to BP measurement, a brief questionnaire was administered collecting data on demographic, medical, social, and lifestyle variables. Data were collected from 1 508 130 screenees from 92 countries in 2019.10 Almost one third (32%) of screenees had never had their BP measured previously and 34% of all screenees were found to be hypertensive (systolic BP ≥140 mmHg and/or diastolic BP ≥90 mmHg, or taking antihypertensive medication). Of those with hypertension, 59% were aware of their condition and 55% were receiving antihypertensive treatment. Of those on treatment, 58% were controlled to <140/90 mmHg and 29% to <130/80 mmHg and only 50% were taking two or more antihypertensive agents. Overall, only 32% of hypertensive screenees were controlled to <140/90 mmHg and 350 825 (23%) of all screenees had untreated or inadequately treated hypertension. For many countries, the data collected during the MMM campaigns reflect the largest BP screening ever to take place in their country.8 In order to make these data available and bring focus to the national level, we asked all 51 countries who had screened at least 2500 adults in MMM19 to produce their individual national report to collate in this European Heart Journal Supplement issue. Although to some extent arbitrary, the 2500 cut-off point was set to ensure a database of sufficient size to generate reasonably valid results from the analyses carried out. A summary of the key results of the 47 countries who accepted the invitation to generate their national reports and of the other four countries is shown in Table 1. Summary statistics for 51 countries with at least 2500 participants from May Measurement Month 2019 Summary statistics for 51 countries with at least 2500 participants from May Measurement Month 2019 The protocol for MMM19 was common to all participating countries and so the methods for each country are essentially the same. However, data from previously available BP screening in each country vary as did the logistics and the sources of the convenience samples screened. These details potentially impact significantly on the interpretation of the results obtained in each country and the observed differences among them. Similar challenges to those which pertained in MMM18 persisted in 2019. Namely—acquiring ethical approval (where it was needed) and the distribution of BP measuring devices (once again kindly donated by OMRON Healthcare) caused delays and financial difficulties in some countries. The quality of data collection in terms of missing data and the speed of transfer of the data to allow central analyses were both improved compared with 2018 which in turn improved on 2017. Nevertheless, despite improvements to the bespoke MMM app, its use was limited to only 15.8% of participants, albeit increased from 12.4% in 2018. Consequently, central data cleaning remained a large, time-consuming task and we were only able to lock the database and initiate analyses in October 2019–4 months after screening for MMM19 had in theory ended. The completeness of data collection varied across sites, with some sites systematically not collecting certain variables. Key demographic variables such as age (99.0%) and sex (99.6%) were well-documented, but others, particularly questions newly added in 2019, such as number of antihypertensive medications (86.0%) were less consistently recorded. Analyses of associations between BP and any variables for which recorded responses were limited in number at the national level were not carried out. Although the protocol advised three BP measurements in each participant, this was not possible in 25% of cases for various reasons, including logistical and time pressures, or participant preference. Our findings from MMM17, MMM18, and MMM19 showed significant declines in BP levels on average across the first to second, and to third readings, with the mean of the second and third resulting in the lowest proportion identified as hypertensive.9–11 In order to provide comparative readings for those with only one or two readings, multiple imputation using chained equations was used, based on at least one BP measurement and other available participant characteristics, running on the global dataset as described previously.11 Consideration was given to running imputations individually for each country; however, for many countries, the relatively small numbers involved, made an averaging over the global dataset more suitable. Furthermore, there was a priori no strong rationale for differential variation in subsequent BP measurements across countries. Although efforts have been made to ensure consistency between individuals based on the number of BP readings, comparisons between countries should be interpreted cautiously. Participants were screened opportunistically, and samples at screening site and national level are not expected to be representative at the population level. An understanding of the local context of screening is required, in terms of target populations and sites of screening, which the national papers in this supplement aim to provide. Although MMM19 was just larger in terms of the number of countries included (92) and the total number of screenees (1 508 130) a few countries including Sudan and Cote D’Ivoire that had made large contributions in previous years, were unable to take part due to civil upheavals or financial constraints. Once again, we were limited in the scope of data collection by the very reasonable request of local investigators to restrict the time and complexity of the interaction spent with each screenee. Consequently, our database is limited in terms of the number of variables evaluated and blood, urine and more complex anthropometry are beyond the capacity of the personnel and available budget. By design, as discussed, MMM does not attempt to collect nationally representative samples from each country in which it takes place. Nevertheless, analyses in progress show significant associations between national stroke mortality and various measures of national BP management and control seen in MMM.14 Although effective intervention on raised BP was not the primary aim of MMM, the detection in the three campaigns to date, of almost one million adults with either untreated or inadequately treated hypertension begs the question of whether MMM improves the health outcomes of those detected. Due to the cross-sectional design, collection of follow-up data was beyond the scope of the campaign and we do not know whether participants instigated lifestyle changes, modified health-seeking behaviours, or were started on or had any anti-hypertensive medication increased. However, a study of a cohort of older adults in China reported that an approach very similar to that used in MMM to detect raised BP was associated with a significant and important reduction in systolic BP two years after screening.15 Nevertheless, an MMM pilot study is in discussion to evaluate the efficacy of a collaboration with the RESOLVE to Save Lives programme16 to facilitate more direct links with effective drug treatment and thereby to ensure improved BP levels. In MMM17, 34 of the 80 countries included, reported that MMM was the largest BP screening to have taken place in their country.9 Since then, coverage has increased to 92 countries and the number of screenees included has risen from over 1.2 million in MMM17 to over 1.5 million in MMM19. It is not easy to produce hard data to confirm whether the primary aim of MMM—to raise awareness of BP measurement—has been achieved. However, significant numbers of participants (almost half a million in 2019 alone) had never had a BP measured previously, while across all three campaigns almost one million adults have been found with untreated or inadequately treated hypertension. This suggests that at the individual level, at least in these groups, awareness has been improved. We are further persuaded by the extent of television, radio, media, and social media coverage around the world that, at the population level, awareness has also been raised, although this is difficult to quantify. Due to the COVID-19 pandemic, MMM20 had to be deferred. Despite persisting uncertainties surrounding this pandemic, we expect that MMM21 will take place, but it seems that ‘May’ is unlikely to be the central month of the campaign. Indeed, the window for data collection will be extended to anytime between May and November 2021, depending on local pandemic conditions and the critical acquisition of local ethical clearance. Because all the MMM investigators and volunteers measuring BPs around the world do so pro bono and the campaign receives many charitable donations centrally, and at the national level, the MMM campaign remains an inexpensive but very effective means of detecting large numbers who require additional help with their raised BP—the most putative of cardiovascular risk factors. In addition to demonstrating associations between measures of BP detection, management and control at a national level and national stroke mortality, analyses are in progress to evaluate the potential utility of MMM-based data for characterizing nationally representative BP data. Together these two sets of analyses will allow MMM to address one of its four key objectives—to use MMM data to motivate governments to improve BP screening facilities and management. Meanwhile, annual MMM surveys will continue to provide an inexpensive and hopefully temporary substitute for systematic screening in many countries worldwide. Our sincere thanks to Judith Bunn (MMM Project Manager 2017–2019) for administering MMM19 and to Harsha McArdle (MMM Project Manager 2020-current) and Ranjit Rayat (Editing Assistant) for their superb dedicated efforts towards this national supplement project. We would also like to thank the officers of the International Society of Hypertension for their background support, OMRON Healthcare and Servier Pharmaceuticals Co for their continued generous contributions. Most importantly our thanks go out to the thousands of volunteers for their support in making the MMM campaign a huge success. Data are not publicly available but are available with permission from the MMM Management Board, on request through the MMM website: maymeasure.org. Most of the financial burden of MMM within each country falls on local resources and as ever we are indebted to those who have provided the necessary financial and logistical support within each country and to all those who have volunteered their time to the project. We shall continue to seek further sources of funding to supplement the generous annual donation made by Servier Pharmaceuticals Co to at least offset a greater proportion of the local costs of running MMM. We must also thank OMRON Healthcare for their continued support with the supply of BP measuring devices. Conflict of interest: N.R.P. was supported by the National Institute for Health Research Senior Investigator Awards, Biomedical Research Centre funding, and the British Heart Foundation Research Centre Excellence Award. He has received financial support from several pharmaceutical companies which manufacture BP-lowering agents, for consultancy fees (Servier), research projects and staff (Servier, Pfizer) and for arranging and speaking at educational meetings (AstraZeneca, Lri Therapharma, Napi, Servier, Sanofi, Eva Pharma and Pfizer). He holds no stocks and shares in any such companies. C.B., A.D., N.K., Y.K., P.M.N., D.P., T.U., and T.B. report no conflicts of interest. T.H.J. is supported by the National Medical Research Council, Singapore and has received consulting fees from RESOLVE to Save Lives. M.P.S. is supported by an NHMRC Research Fellowship and has received consulting fees and/or travel and research support from Medtronic, Aboot, Novartis, Servier, Pfizer and Boehringer-Ingelheim. A.E.S. has received lecture and/or travel and research support from Abott, Novartis, Servier, OMRON Healthcare and Takeda. G.S.S. has received lecture and consultancy fees from OMRON Healthcare.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,074
Score d'incertitude au seuil0,147

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,015
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0010,000
Communication savante0,0030,001
Science ouverte0,0000,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0250,010

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,076
Tête enseignante GPT0,301
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations18
Publié2021
Routes d'admission1
Résumé présentoui

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