What is the clinical evidence from this study?

Study design: Cohort. Population: type 2 diabetes mellitus (n=90). Intervention: High BMI vs. Low BMI. Primary outcome: development of diabetic peripheral neuropathy (DPN) (OR 12.53, p=0.001).

What does this research mean for the field?

In patients with type 2 diabetes, a high body mass index is associated with a 12.53-fold greater risk of developing diabetic peripheral neuropathy over 5.5 years, while percussion entropy serves as a protective factor. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

July 1, 2021Journal of Applied BiomedicineOpen Access

Machine learning prediction of future peripheral neuropathy in type 2 diabetics with percussion entropy and body mass indices

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Key result

High BMI linked to ~13-fold greater risk of diabetic peripheral neuropathy in T2D.

OR 12.53
P=0.001
n=90

Why the study?

To evaluate the clinical applications of BMI and a percussion-entropy-based index (PEINEW) for predicting the development of diabetic peripheral neuropathy in patients with type 2 diabetes mellitus.

Do body mass index and a percussion-entropy-based index predict the development of diabetic peripheral neuropathy in patients with type 2 diabetes mellitus?

Population

90 subjects with type 2 diabetes mellitus aged 37–86 years

Comparison

Predictive value of BMI and PEINEW

Design

Cohort study

Follow-up

5.5 years

Authors

MXMingxia XiaoNorth Minzu University CLChanghua LuYangzhou University NTNa TaInner Mongolia University for Nationalities

Discussion

Member takes

Implication

High BMI may aid DPN risk stratification in T2DM; leaves open whether BMI or percussion-entropy indices warrant clinical adoption.

Study Design

Type

Cohort (n=90)

Structured PICO

Do body mass index and a percussion-entropy-based index predict the development of diabetic peripheral neuropathy in patients with type 2 diabetes mellitus?

Population

90 patients with type 2 diabetes mellitus, aged 37-86 years, followed for 5.5 years.

Exposure

Body mass index (BMI) and a percussion-entropy-based index (PEINEW) derived from photoplethysmography (PPG)

Comparator

Low BMI category (BMI ≦ 30)

Outcome

Development of diabetic peripheral neuropathy (DPN) at 5.5 years follow-up

Main Result

Odds Ratio: 12.53

p-value: p=0.001

BMI and percussion entropy calculation can provide valid information to identify type 2 diabetics at increased risk of future diabetic peripheral neuropathy.

Cite This Study

Xiao et al. (2021) conducted a cohort in type 2 diabetes mellitus (n=90). High BMI vs. Low BMI was evaluated on development of diabetic peripheral neuropathy (DPN) (OR 12.53, p=0.001). In patients with type 2 diabetes, a high BMI was associated with a 12.53-fold greater risk of developing diabetic peripheral neuropathy compared to a low BMI over 5.5 years (P=0.001).

synapsesocial.com/papers/6aa94da0f486d0383d2556b3 https://doi.org/10.1016/j.bbe.2021.08.001

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Machine learning prediction of future peripheral neuropathy in type 2 diabetics with percussion entropy and body mass indices

Discussion

Member takes

Implication

Study Design

Structured PICO

Main Result

Cite This Study

Machine learning prediction of future peripheral neuropathy in type 2 diabetics with percussion entropy and body mass indices

Discussion

Member takes

Implication

Study Design

Structured PICO

Main Result

Cite This Study

Also Consider

Also Consider