Evidence map›Paper›PMID 42286617›Full record

ArticleTrials2026

Early intensive antihypertensive treatment in high-risk population of intracerebral haemorrhage expansion identified by artificial intelligence (ARCHES): study protocol for a multicentre randomised controlled trial.

Lei Wu, Shiyu Shan, Kaijiang Kang, Wanxing Ye, Xia Meng, Hao Li, Qin Xu, Anxin Wang, Zixiao Li, Xingquan Zhao and 1 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06242938 (Early Intensive Antihypertensive Treatment in High-risk Population of Intracerebral Hemorrhage Expansion Predicted by Artificial Intelligence), which is not on this map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06242938 naunknown statusnot on this map

Early Intensive Antihypertensive Treatment in High-risk Population of Intracerebral Hemorrhage Expansion Predicted by Artificial Intelligence

TypeinterventionalSponsorBeijing Tiantan HospitalRan2024 to 2025Enrolled680ConditionsCerebral HemorrhageArmsEarly intensive antihypertensive treatment
3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Lei Wu *Vascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Shiyu Shan *Vascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Kaijiang KangVascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Wanxing YeChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Xia MengVascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Hao LiChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Qin XuChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Anxin WangChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Zixiao LiVascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Xingquan ZhaoVascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China. zxq@vip.163.com.
Na LiVascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China. selina1808@163.com.ORCID http://orcid.org/0009-0003-4997-8966

Funding

Beijing Nova Program Z131107000413042National Key R&D Program of China 2016YFC0901002National Key R&D Program of China 2017YFC1307905National Key R&D Program of China 2017YFC1310901National Key R&D Program of China 2022YFC2504903National Key R&D Program of China 2022ZD0118005National Natural Science Foundation of China 81371293Organization Department of the Communist Party of China Beijing Municipal Committee Z201100005620010
6 · The paper itself

Abstract

backgroundsHaematoma expansion (HE) is a significant factor in poor outcomes following intracerebral haemorrhage (ICH). Studies have suggested that acute intensive antihypertensive treatment could reduce HE. However, the impact of early intensive blood pressure reduction on patients with ICH at high risk of HE remains unclear. Therefore, screening ICH patients for high risk of HE upon admission and initiating early intensive blood pressure reduction could improve their prognosis. In this study we utilise a five-point scoring system integrating a deep learning system based on non-contrast CT imaging and clinical predictors to identify ICH patients at high risk of HE. This study aims to compare the efficacy, safety, and feasibility of early intensive antihypertensive treatment versus standard antihypertensive treatment for patients identified as being at high risk of HE.

methodsThe early intensive antihypertensive treatment in high-risk population of intracerebral haemorrhage expansion predicted by artificial intelligence (ARCHES), is a multicentre, prospective, randomised, open-label, blinded-endpoints clinical trial that will include an estimated 680 participants. ICH patients within 6 h of symptom onset, and at high risk of haematoma expansion with ≥ 3 points on the artificial intelligence-based haematoma expansion 5-point prediction score, will be randomly assigned to receive either intensive antihypertensive treatment (targeting systolic blood pressure control between 130 and 140 mmHg within the first hour of treatment, and maintaining this level for 7 days) or standard antihypertensive treatment (targeting systolic blood pressure control between 140 and 180 mmHg, and maintaining for 7 days). The primary outcome is death or severe disability at 90 days. DISCUSSION: The ARCHES study aims to verify the hypothesis that early intensive blood pressure lowering leads to reduced HE and improved functional outcomes with good safety in ICH patients at high risk of HE.

trial registrationThis study was registered at the Clinical Trials under registry number NCT06242938. Registered on Feb 2, 2024. https://clinicaltrials.gov/study/NCT06242938 .

Indexed as

Antihypertensive AgentsArtificial IntelligenceBlood PressureCerebral HemorrhageHematomaHypertensionHumansMulticenter Studies as TopicProspective StudiesRandomized Controlled Trials as TopicRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeAntihypertensive AgentsBlood pressureHaematoma expansionIntracerebral haemorrhage

Identifiers

PMID42286617
PMCPMC13488238

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Registered trials

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 OpenQuestion graph.