Incremental value of a gut microbiome score (M-score) for predicting stroke-associated pneumonia beyond the clinical

Yidan Zhang1, Qi Dong2, Wenbin Li3

  • 11Department of Emergency Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai City, 519000, Guangdong Province, China.

Insights

A novel microbiome risk score (M-score) can predict stroke-associated pneumonia (SAP) risk. This gut microbiome analysis offers better prediction than existing clinical scores, improving early risk stratification for stroke patients.

Area of Science:

  • Neurology
  • Microbiology
  • Pulmonology

Background:

  • Stroke-associated pneumonia (SAP) is a significant complication following acute ischemic stroke.
  • The brain-gut-lung axis highlights the gut microbiome's potential role in post-stroke complications.
  • Existing clinical scores may not fully capture SAP risk, necessitating novel biomarkers.

Purpose of the Study:

  • To assess the incremental predictive value of early gut microbiome biomarkers for SAP.
  • To develop a simplified microbiome risk score (M-score) for SAP prediction.
  • To evaluate the M-score's performance against the established A2DS2 clinical score.

Main Methods:

  • Prospective nested case-control study of 551 acute ischemic stroke patients.
  • Stool sample analysis (16S rRNA sequencing) within 24-72 hours of admission.
  • Development of an M-score using three differentially abundant gut genera and logistic regression.

Main Results:

  • SAP cases showed reduced gut microbial diversity and distinct community composition.
  • Higher levels of Enterococcus and Streptococcus, and lower Faecalibacterium were observed in SAP cases.
  • The M-score independently predicted SAP and significantly improved prediction accuracy when added to the A2DS2 score (AUC increased from 0.76 to 0.84).

Conclusions:

  • Gut microbiome profiling can identify early SAP risk in stroke patients.
  • The M-score offers significant independent and incremental predictive value for SAP.
  • This microbiome-based approach enhances early risk stratification for SAP post-stroke.