JDM  Vol.5 No.4 , November 2015
A Scoring System to Assess Patients with Diabetes: Nutech Functional Score
Abstract: Background: Diabetes mellitus (DM) is a metabolic disorder characterized by hyperglycemia. The symptoms of hyperglycemia include polyuria, polydypsia, polyphagia, blurred vision and weight loss. Various diagnostic tests are used for the diagnosis of DM in patients, but the findings of these tests cannot be assumed to be completely valid. This study aimed at developing a novel scoring system to assess the patients suffering from DM. Method: We assessed the patients based on various diagnostic tests available for DM and prepared a single list of these tests. The tests were categorized and graded based on the World Health Organization (WHO) criteria. Further, we coverted the grades into numeric values for easy use. Results: NFS for diabetes is an 11-point scoring system that assesses the patient’s condition before and after therapy. To facilitate the conduct of probability based studies, we have converted the scores into numeric values in the range of (0, 1). Each symptom is graded as (1, 2, 3, 4, 5) that runs in BAD → GOOD direction. Conclusion: NFS is a beneficial scoring system that can be used worldwide to assess the patients with DM.
Cite this paper: Shroff, G. (2015) A Scoring System to Assess Patients with Diabetes: Nutech Functional Score. Journal of Diabetes Mellitus, 5, 245-251. doi: 10.4236/jdm.2015.54030.

[1]   Tripathi, K.D. (2008) Essentials of Medical Pharmacology. Jaypee Brothers Medical Publishers (P) Ltd., New Delhi.

[2]   American Diabetes, A. (2010) Diagnosis and Classification of Diabetes Mellitus. Diabetes Care, 33, S62-S69.

[3]   World Health Organization. Definition, Diagnosis and Classification of Diabetes Mellitus and Its Complications.

[4]   American Diabetes, A. (2004) Diagnosis and Classification of Diabetes Mellitus. Diabetes Care, 27, S5-S10.

[5]   Herman, W.H. and Fajans, S.S. (2010) Hemoglobin A1c for the Diagnosis of Diabetes: Practical Considerations. Polskie Archiwum Medycyny Wewnetrznej, 120, 37-40.

[6]   Bonora, E. and Tuomilehto, J. (2011) The Pros and Cons of Diagnosing Diabetes with A1c. Diabetes Care, 34, S184-S190.

[7]   American Diabetes, A. (2011) Standards of Medical Care in Diabetes—2011. Diabetes Care, 34, S11-S61.

[8]   Garcia-Perez, L.E., Alvarez, M., Dilla, T., Gil-Guillen, V. and Orozco-Beltran, D. (2013) Adherence to Therapies in Patients with Type 2 Diabetes. Diabetes Therapy, 4, 175-194.

[9]   Venkataraman, K., Kannan, A.T. and Mohan, V. (2009) Challenges in Diabetes Management with Particular Reference to India. International Journal of Diabetes in Developing Countries, 29, 103-109.

[10]   (2011) Use of Glycated Haemoglobin (HbA1c) in the Diagnosis of Diabetes Mellitus. Abbreviated Report of a WHO Consultation.

[11]   World Health Organization. Diabetes Programme.

[12]   El-Kebbi, I.M., Ziemer, D.C., Cook, C.B., Gallina, D.L., Barnes, C.S. and Phillips, L.S. (2004) Utility of Casual Postprandial Glucose Levels in Type 2 Diabetes Management. Diabetes Care, 27, 335-339.

[13]   National Institue of Diabetes and Digestive and Kidney Diseases. National Diabetes Information Clearinghouse. Comparing Tests for Diabetes and Prediabetes: A Quick Reference Guide.

[14]   Lippi, G. and Targher, G. (2010) Glycated Hemoglobin (HbA1c): Old Dogmas, a New Perspective? Clinical Chemistry and Laboratory Medicine, 48, 609-614.

[15]   Davidson, M.B., Peters, A.L. and Schriger, D.L. (1995) An Alternative Approach to the Diagnosis of Diabetes with a Review of the Literature. Diabetes Care, 18, 1065-1071.

[16]   Snehalatha, C., Ramachandran, A., Satyavani, K. and Vijay, V. (2000) Limitations of Glycosylated Haemoglobin as an Index of Glucose Intolerance. Diabetes Research and Clinical Practice, 47, 129-133.

[17]   Mo, M., Zhong, W., Zhao, G., Ruan, Y., Zhang, H., Shi, L., et al. (2013) Combining Glycosylated Hemoglobin A1c and Fasting Plasma Glucose for Diagnosis of Type 2 Diabetes in Chinese Adults. BMC Endocrine Disorders, 13, 44.

[18]   (1985) Diabetes Mellitus. Report of a WHO Study Group. World Health Organization Technical Report Series, 727, 1-113.

[19]   Kuzuya, T., Nakagawa, S., Satoh, J., Kanazawa, Y., Iwamoto, Y., Kobayashi, M., et al. (2002) Report of the Committee on the Classification and Diagnostic Criteria of Diabetes Mellitus. Diabetes Research and Clinical Practice, 55, 65-85.