Evidence mapPaperPMID 41230395Full record

ArticleEuropean heart journal open2025

Prevalence and prediction of masked uncontrolled hypertension in patients recently hospitalized for myocardial infarction.

Henrik Hellqvist, David Erlinge, Bertil Lindahl, Tomas Jernberg, Jonas Oldgren, Stefan James, Faris Al-Khalili, Thomas Kahan, Jonas Spaak

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Article in European heart journal open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Henrik HellqvistDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, SE-182 88 Stockholm, Sweden.ORCID https://orcid.org/0009-0004-4367-7692
David ErlingeDepartment of Clinical Sciences, Lund, Cardiology, Lund University, BMC I12, SE-221 84 Lund, Sweden.ORCID https://orcid.org/0000-0003-3042-5766
Bertil LindahlDepartment of Medical Sciences, Cardiology, Uppsala University, Akademiska sjukhuset, SE-751 85 Uppsala, Sweden.ORCID https://orcid.org/0000-0002-5795-0061
Tomas JernbergDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, SE-182 88 Stockholm, Sweden.ORCID https://orcid.org/0000-0003-1695-379X
Jonas OldgrenDepartment of Medical Sciences, Cardiology, Uppsala University, Akademiska sjukhuset, SE-751 85 Uppsala, Sweden.ORCID https://orcid.org/0000-0002-9969-3921
Stefan JamesDepartment of Medical Sciences, Cardiology, Uppsala University, Akademiska sjukhuset, SE-751 85 Uppsala, Sweden.ORCID https://orcid.org/0000-0003-4413-9736
Faris Al-KhaliliDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, SE-182 88 Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8849-7052
Thomas KahanDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, SE-182 88 Stockholm, Sweden.ORCID https://orcid.org/0000-0001-9909-4956
Jonas SpaakDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, SE-182 88 Stockholm, Sweden.ORCID https://orcid.org/0000-0002-2135-1294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To study the prevalence of masked uncontrolled hypertension (MUCH) in patients recently hospitalized for myocardial infarction, and to develop machine learning-based prediction models identifying MUCH. Methods and results: Ambulatory blood pressure measurement (ABPM) was performed in 99 patients following hospitalization for a myocardial infarction. Sixty-two clinical variables were eligible for machine learning. Variable importance for the prediction of MUCH (office blood pressure <140/90 mm Hg at ABPM start but mean 24-h blood pressure ≥130/80 mm Hg) was assessed using the least absolute shrinkage and selection operator (LASSO) and the Boruta algorithms. Logistic regression, LASSO, and random forest models based on the top variables were evaluated using receiver operating characteristic area under the curve (AUC) in repeated cross-validation. Mean age was 62.1 ± 8.2 years, 73 (74%) were males. The ABPM was performed at a median of 11 weeks after discharge. Among 96 patients with valid 24-h ABPM recordings, 32 (33%) had 24-h mean blood pressure ≥130/80 mm Hg and 17 (18%) were identified with MUCH. Machine learning identified discharge diagnoses of diabetes and hypertension, and kidney dysfunction as most important predictors of MUCH. The best random forest, logistic regression, and LASSO models showed mean AUC 0.82, 0.80, and 0.80, respectively, for prediction of MUCH. Conclusion: One in five patients had MUCH at follow-up after a myocardial infarction. The readily available variables diabetes, hypertension, and kidney dysfunction were identified as the most important predictors of MUCH, which may be implemented in a prediction model for identifying this clinically challenging blood pressure phenotype. Previous presentation: Preliminary results were presented at the European Society of Cardiology Congress in London 2024 as an oral abstract presentation. Hellqvist H, Erlinge D, Lindahl B

Indexed as

Machine learningMasked hypertensionMyocardial infarction

Identifiers

PMID41230395
PMCPMC12603615

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.