m-NUTRIC Score for Assessment of Nutritional Status and Treatment Outcomes in Chronic Kidney Disease Patients
Prerna Verma *
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, (Deemed to be University), Wardha, India.
Sunil Kumar
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, (Deemed to be University), Wardha, India.
Sourya Acharya
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, (Deemed to be University), Wardha, India.
Shilpa Bawankule
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, (Deemed to be University), Wardha, India.
A. K. Wanjari
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, (Deemed to be University), Wardha, India.
Sachin Agrawal
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, (Deemed to be University), Wardha, India.
Anand Bakre
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, (Deemed to be University), Wardha, India.
*Author to whom correspondence should be addressed.
Abstract
Background: Malnutrition entails insufficiency arising of protein, vitamin, and trace elements related to inadequate and unstable diet which may cause poor quality of life and sometimes even lead to death. Undernourishment is the leading reason having a greater impact on outcomes following treatment, which lengthens patient stay and impacts mortality and morbidity. Protein deficiency is commonly reported among chronic kidney disease (CKD) patients. Lack of proper nutrition affects the quality of life of patients with chronic kidney disease. Nutritional problems among CKD subjects needs to be detected earlier. This study aims to assess the nutritional risk of patients with CKD by m-Nutric score and compare the m-Nutric scores among patients with and without haemodialysis.
Materials and Methods: This will be a cross-sectional study in the Dept. of Medicine, at AVBRH, Wardha. Total 150 patients with CKD reporting to Medicine Department, AVBRH, Wardha will be enrolled in the study. The m-NUTRIC score will be calculated as per the criteria. APACHE II at admittance and Sequential Organ Failure Assessment (SOFA) score will be assessed . NUTRIC points will be calculated without interleukin (IL)-6. Morbidity data, duration of stay of patients and mortality will be recorded.
Expected Results: Subjects having m-NUTRIC scores more than or equal to five will be graded in the high risk category of undernourishment whereas scores less than or equal to four will be categorised as low risk. We expect a significant correlation of m-NUTRIC scores ≥5 to duration of hospitalisation and risk of death.
Conclusion: The m-NUTRIC scores would be directly correlated with mean ICU duration of stay and mortality for patients with hospitalised CKD.
Keywords: Malnutrition, morbidity, mortality, chronic kidney disease, m-NUTRIC score, nutritional status, haemodialysis