Nur Adilah Shuhada Abd Aziz1, Nur Islami Mohd Fahmi Teng2, Mazuin Kamarul Zaman3. 1. Centre of Nutrition and Dietetics, Faculty of Health Sciences, Universiti Teknologi MARA Cawangan Selangor, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia. Electronic address: nradilahaziz@gmail.com. 2. Centre of Nutrition and Dietetics, Faculty of Health Sciences, Universiti Teknologi MARA Cawangan Selangor, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia. Electronic address: nurislami@puncakalam.uitm.edu.my. 3. Centre of Nutrition and Dietetics, Faculty of Health Sciences, Universiti Teknologi MARA Cawangan Selangor, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia. Electronic address: mazukmz@gmail.com.
Abstract
BACKGROUND & AIMS: Malnutrition is common among hospitalized elderly patients, and the prevalence is increasing not only in Malaysia but also in the rest of the world. The Geriatric Nutrition Risk Index (GNRI) and the Mini Nutritional Assessment (MNA) were developed to identify malnourished individuals among this group. The MNA was validated as a nutritional assessment tool for the elderly. The GNRI is simpler and more efficient than the MNA, but studies on the use of the GNRI and its validity among the Malaysian population are absent. This study aimed to determine the prevalence of malnourished hospitalized elderly patients and assess the criterion validity of the GNRI and MNA among the geriatric Malaysian population against the reference standard for malnutrition, the Subjective Global Assessment (SGA), and determine whether the optimal cutoff value of the GNRI is suitable for the Malaysian population and determine the optimal tool for use in this population. METHODS: A cross-sectional study was conducted among 134 geriatric patients with a mean age of 68.9 ± 8.4 who stayed at acute care wards in Hospital Tuanku Ampuan Rahimah, Klang from July 2017 to August 2017. The SGA, MNA, and GNRI were administered through face-to-face interviews with all the participants who gave their consent. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the GNRI and MNA were analyzed against the SGA. Receiver-operating characteristic (ROC) curve analysis was used to obtain the area under the curve (AUC) and suitable optimal cutoff values for both the GNRI and MNA. RESULTS: According to the SGA, MNA, and GNRI, 26.9%, 42.5%, and 44.0% of the participants were malnourished, respectively. The sensitivity, specificity, PPV, and NPV for the GNRI were 0.622, 0.977, 0.982, and 0.558, respectively, while those for the MNA were 0.611, 0.909, 0.932, and 0.533, respectively. The AUC of the GNRI was comparable to that of the MNA (0.831 and 0.898, respectively). Moreover, the optimal malnutrition cutoff value for the GNRI was 94.95. CONCLUSIONS: The prevalence of malnutrition remains high among hospitalized elderly patients. Validity of the GNRI is comparable to that of the MNA, and use of the GNRI to assess the nutritional status of this group is proposed with the new suggested cutoff value (GNRI ≤ 94.95), as it is simpler and more efficient. Underdiagnosis of malnutrition can be prevented, possibly reducing the prevalence of malnourished hospitalized elderly patients and improving the quality of the nutritional care process practiced in Malaysia.
BACKGROUND & AIMS:Malnutrition is common among hospitalized elderly patients, and the prevalence is increasing not only in Malaysia but also in the rest of the world. The Geriatric Nutrition Risk Index (GNRI) and the Mini Nutritional Assessment (MNA) were developed to identify malnourished individuals among this group. The MNA was validated as a nutritional assessment tool for the elderly. The GNRI is simpler and more efficient than the MNA, but studies on the use of the GNRI and its validity among the Malaysian population are absent. This study aimed to determine the prevalence of malnourished hospitalized elderly patients and assess the criterion validity of the GNRI and MNA among the geriatric Malaysian population against the reference standard for malnutrition, the Subjective Global Assessment (SGA), and determine whether the optimal cutoff value of the GNRI is suitable for the Malaysian population and determine the optimal tool for use in this population. METHODS: A cross-sectional study was conducted among 134 geriatric patients with a mean age of 68.9 ± 8.4 who stayed at acute care wards in Hospital Tuanku Ampuan Rahimah, Klang from July 2017 to August 2017. The SGA, MNA, and GNRI were administered through face-to-face interviews with all the participants who gave their consent. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the GNRI and MNA were analyzed against the SGA. Receiver-operating characteristic (ROC) curve analysis was used to obtain the area under the curve (AUC) and suitable optimal cutoff values for both the GNRI and MNA. RESULTS: According to the SGA, MNA, and GNRI, 26.9%, 42.5%, and 44.0% of the participants were malnourished, respectively. The sensitivity, specificity, PPV, and NPV for the GNRI were 0.622, 0.977, 0.982, and 0.558, respectively, while those for the MNA were 0.611, 0.909, 0.932, and 0.533, respectively. The AUC of the GNRI was comparable to that of the MNA (0.831 and 0.898, respectively). Moreover, the optimal malnutrition cutoff value for the GNRI was 94.95. CONCLUSIONS: The prevalence of malnutrition remains high among hospitalized elderly patients. Validity of the GNRI is comparable to that of the MNA, and use of the GNRI to assess the nutritional status of this group is proposed with the new suggested cutoff value (GNRI ≤ 94.95), as it is simpler and more efficient. Underdiagnosis of malnutrition can be prevented, possibly reducing the prevalence of malnourished hospitalized elderly patients and improving the quality of the nutritional care process practiced in Malaysia.
Authors: Heather R Kregel; Patrick B Murphy; Mina Attia; David E Meyer; Rachel S Morris; Ezenwa C Onyema; Sasha D Adams; Charles E Wade; John A Harvin; Lillian S Kao; Thaddeus J Puzio Journal: J Trauma Acute Care Surg Date: 2022-03-14 Impact factor: 3.697