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Dataset Information

External validation of risk prediction models for post-stroke mortality in Berlin.


ABSTRACT:

Objectives

Prediction models for post-stroke mortality can support medical decision-making. Although numerous models have been developed, external validation studies determining the models' transportability beyond the original settings are lacking. We aimed to assess the performance of two prediction models for post-stroke mortality in Berlin, Germany.

Design

We used data from the Berlin-SPecific Acute Treatment in Ischaemic or hAemorrhagic stroke with Long-term follow-up (B-SPATIAL) registry.

Setting

Multicentre stroke registry in Berlin, Germany.

Participants

Adult patients admitted within 6 hours after symptom onset and with a 10th revision of the International Classification of Diseases discharge diagnosis of ischaemic stroke, haemorrhagic stroke or transie

SUBMITTER: Reitzle L 

PROVIDER: S-EPMC12161359 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature