Objective

2

To explore the pain-location interaction between pressure-sensitive points on the body surface and traditional acupoints in patients with chronic non-specific low back pain (CNLBP) under different disease courses

using Euclidean distance and multivariate statistical analysis.

Methods

2

A pressure-sensitive point detection was performed on 30 CNLBP patients with varying disease courses. A constant pressure was applied using an FDK20 algometer within a designated lumbar area

a total of 50 points were tested

and the tested points were numbered; the visual analogue scale (VAS) pain score was recorded simultaneously. MatlabR2022a9.12. software was used to extract the positions of pressure-sensitive points

and preprocessing and normalization of point location and VAS scores data were conducted. Under constraint conditions (VAS≥8.0 ∩ Euclidean distance to acupoint≤0.5)

the proport

ion of pressure-sensitive points within the Euclidean distance threshold to each acupoint (PVD

acupoint

) was calculated

followed by multivariate statistical analysis.

Results

2

①Constrained analysis of PVD

acupoint

showed that PVD

Qihaishu (BL24)

and PVD

Dachangshu (BL25)

were positively correlated with disease course (

r

=0.55

P

<

0.01). ②Factor analysis and silhouette analysis revealed that PVD

Shenshu (BL23)

and PVD

Dachangshu (BL25)

exhibited trends consistent with disease course progression (

P

>

0.05)

with different degree (

P

<

0.01).

Conclusion

2

The PVD

acupoint

value based on Euclidean distance can characterize the pressure sensitivity features of traditional acupoints associated with disease. Multivariate statistical analysis of PVD

acupoint

confirms that selecting the acupoint combination of Shenshu (BL23) and Dachangshu (BL25) for CNLBP is associated with the distribution of surrounding pressure-sensitive points and the pathological characteristics of the condition.