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A Study on the Correlation Between Electrodiagnostic Phenotypes of Diabetic Peripheral Neuropathy and the "Low Muscle Mass Risk Phenotype" Based on Real-World Inpatient Data

A Study on the Correlation Between Electrodiagnostic Phenotypes of Diabetic Peripheral Neuropathy and the "Low Muscle Mass Risk Phenotype" Based on Real-World Inpatient Data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119698
Enrollment
Unknown
Registered
2026-03-02
Start date
2026-03-02
Completion date
Unknown
Last updated
2026-03-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

diabetes

Interventions

Observation group:N/A

Sponsors

Jiangsu Province Hospital (The First Affiliated Hospital with Nanjing Medical University)
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >=18 years old; 2. Diagnosed with diabetes during hospitalization (based on discharge diagnosis/ICD code); 3. Completed neuroelectrophysiological examination, with a report including at least sensory nerves of both lower limbs (sural/superficial peroneal) and routine motor nerves (tibial/common peroneal, etc.) key parameters (latency, amplitude, conduction velocity, etc.); 4. Laboratory information available within the specified time window before and after the electrophysiological examination (recommended ±7 days, sensitivity analysis can be extended to ±14 days)

Exclusion criteria

Exclusion criteria: 1.Severe renal failure (e.g., requiring maintenance dialysis or extremely low eGFR) that prevents the use of Scr/CysC indices for muscle mass risk inference; 2.Diagnosed with non-diabetic peripheral neuropathy; 3.Missing key variables that cannot be supplemented; 4.Special cases that significantly affect muscle mass/electrophysiology;

Design outcomes

Primary

MeasureTime frame
The strength of the association between axonal injury-dominant (or severe) DPN and the low muscle mass risk phenotype;Correlation/regression coefficients between key electrophysiological parameters (sensory/motor nerve amplitude, conduction velocity, latency, etc.) and low muscle mass risk indicators;Relationship and Interaction Effect between Lower Limb Arteriosclerosis/ Stenosis/ Occlusion (Ultrasound/CTA Report) and Electrophysiological Phenotypes;Hospitalization outcomes or clinical severity;Discrimination and calibration of the predictive model (such as AUC, calibration curve, decision curve, etc., internal validation);—

Secondary

MeasureTime frame
Association between leg muscle CSA/muscle density and electrophysiological parameters in imaging sub-cohorts;—

Countries

China

Contacts

Public ContactZhang Yumin

Jiangsu Province Hospital (The First Affiliated Hospital with Nanjing Medical University)

zhangym11889@njmu.edu.cn+86 25 6830 5161

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 14, 2026