Determining the Optimal Barthel Index Cutoff Scores for Predicting Longshi Scale Grades Across Age Groups in Stroke Patients
Clicks: 3
ID: 310005
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
0.6
/100
3 views
2 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #278 of 490 articles by views in Frontiers in surgery
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 490 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Background: The Barthel Index (BI) is a standard, widely used measure of dependence in activities of daily living (ADL), particularly in stroke care. The Longshi Scale (LS) offers a simpler, more user-friendly alternative, yet it lacks a validated, age-stratified mapping to BI scores. This gap limits consistent outcome interpretation and application. Objective: To establish and validate a standardized, age-stratified concordance between BI scores and LS grades, thereby providing a practical conversion tool for clinical and research settings. Method: In a multi-center study of 16,412 stroke inpatients (3 months post-stroke), BI scores and LS grades were analyzed across age groups: <60 years (n=12,662), 60-79 years (n=2,596), and ≥80 years (n=1,154). Sensitivity (correct identification) and specificity (correct exclusion), along with receiver operating characteristic (ROC) curves were used to determine optimal BI cutoff points for each LS grade. Spearman correlation and Kruskal-Wallis test were applied to different age groups. Results: Key BI cutoffs were identified for LS grades: ≥75 for LS≥2, ≥45 for LS≥4, and <5 for LS=6. These key values were consistent across different age groups. The BI score was negatively correlated with LS disability level (e.g., r = -0.879 for ≥80 years, p<0.001). Correlations remained strongest at severe disability levels (LS Grades 5-6) across age groups (r = -0.60 to -0.65). AUC analysis demonstrated excellent discriminative ability, especially for the mildest (LS 1) and most severe (LS 6) disability levels (AUC > 0.95). Conclusion: The study provides age-stratified BI cutoff values to guide resource allocation, emphasizing the need to prioritize care for individuals aged ≥80 years with BI scores below 5.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (97 words).
Try re-searching for a better abstract.
| Reference Key |
imported_1768911275_696f71ab5b0f0
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Wang, Yulong |
| Journal | Frontiers in surgery |
| Year | Year not found |
| DOI |
10.3389/fragi.2026.1701910
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.