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The SHID wound classification system for diabetic foot ulcer patients: a validity study
Suriadi Jais1, Kharisma Pratama1, Jery Fahrain1
1Department of Medical Surgical Nursing, Sekolah Tinggi Ilmu Keperawatan Muhammadiyah Pontianak, Pontianak, Indonesia.
The new SHID (Suriadi, Haryanto, Imran dan Defa) wound classification system shows excellent predictive validity for diabetic foot ulcers, outperforming the Wagner and TU systems in Indonesia. This tool aids in better patient outcomes.
Area of Science:
- Podiatry
- Dermatology
- Clinical Nursing
Background:
- Diabetic foot ulcers (DFUs) pose a significant global health challenge, necessitating accurate classification systems for effective management.
- Existing wound classification systems, such as the Wagner and Texas University (TU) systems, have limitations in predicting DFU outcomes.
- The Suriadi, Haryanto, Imran dan Defa (SHID) system is a novel classification tool developed to improve DFU assessment.
Purpose of the Study:
- To evaluate and compare the predictive validity of the SHID wound classification system against the TU and Wagner systems in Indonesian patients with diabetic foot ulcers.
- To determine which classification system demonstrates superior accuracy in predicting DFU progression and outcomes.
Main Methods:
- A prospective cohort study was conducted involving 111 patients with diabetic foot ulcers at a wound clinic in Indonesia.
- Patients' wounds were assessed using the SHID, TU, and Wagner classification systems by postgraduate nursing students.
- Wound outcomes were observed over a 4-week period to assess the predictive accuracy of each system.
Main Results:
- The SHID system demonstrated high sensitivity (74%) and specificity (97%), with an Area Under the Curve (AUC) of 0.90 and a Youden index of 0.72%.
- The TU system showed sensitivity of 77% and specificity of 92% (AUC: 0.85, Youden index: 0.70%).
- The Wagner system had sensitivity of 84% and specificity of 71% (AUC: 0.86, Youden index: 0.55%), indicating lower predictive performance compared to SHID and TU.
- The SHID tool yielded the highest AUC and Youden Index values, suggesting superior predictive capability.
Conclusions:
- The SHID wound classification system exhibits strong predictive validity for diabetic foot ulcers in the Indonesian context, surpassing the Wagner system.
- All evaluated systems are valuable for identifying diabetic foot ulcers, but SHID offers enhanced accuracy for predicting outcomes.
- The findings support the adoption of the SHID system for improved management and prediction of outcomes in diabetic foot ulcer patients.
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