• Korean Journal of Community Nutrition
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• v.26 no.4
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• pp.280-295
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• 2021

Objectives: This study aimed to examine the characteristics of patients according to their nutritional status as assessed by five nutritional screening tools: Patient-Generated Subjective Global Assessment (PG-SGA), NUTRISCORE, Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) and to compare the agreement, sensitivity, and specificity of these tools. Methods: A total of 952 gastric cancer patients who underwent gastrectomy and chemotherapy from January 2009 to December 2012 at the Samsung Medical Center were included. We categorized patients into malnourished and normal according to the five nutritional screening tools 1 month after surgery and compared their characteristics. We also calculated the Spearman partial correlation, Cohen's Kappa coefficient, the area under the curve (AUC), sensitivity, and specificity of each pair of screening tools. Results: We observed 86.24% malnutrition based on the PG-SGA and 85.82% based on the NUTRISCORE among gastric cancer patients in our study. When we applied NRI or CONUT, however, the malnutrition levels were less than 30%. Patients with malnutrition as assessed by the PG-SGA, NUTRISCORE, or NRI had lower intakes of energy and protein compared to normal patients. When NRI, PNI, or CONUT were used to identify malnutrition, lower levels of albumin, hemoglobin, total lymphocyte count, total cholesterol, and longer postoperative hospital stays were observed among patients with malnutrition compared to those without malnutrition. We found relatively high agreement between PG-SGA and NUTRISCORE; sensitivity was 90.86% and AUC was 0.78. When we compared NRI and PNI, sensitivity was 99.64% and AUC was 0.97. AUC ranged from 0.50 to 0.67 for comparisons between CONUT and each of the other nutritional screening tools. Conclusions: Our study suggests that PG-SGA and NRI have a relatively high agreement with the NUTRISCORE and PNI, respectively. Further cohort studies are needed to examine whether the nutritional status assessed by PG-SGA, NUTRISCORE, NRI, PNI, and CONUT predicts the gastric cancer prognosis.

• Journal of Digestive Cancer Research
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• v.2 no.1
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• pp.15-20
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• 2014

Cancer, especially GI cancer itself and any associated treatments have profound effect on the patient's nutritional status. It is therefore very important to understand various nutritional issues in GI cancer patients for the cure and for increasing the compliance during the course of the treatment. Screening and identification of nutritional risk for the GI cancer patients is very essential and is plays a critical part of the treatment to help improve patient outcomes. Maintaining optimal nutritional status is an important goal in the management of individuals diagnosed, treated with cancer. Maintenance of adequate nutritional intake is important whether patients are undergoing active therapy, recovering from cancer therapy, or are in remission and striving to avoid cancer recurrence. The goals of nutrition therapy are to prevent or reverse nutrient deficiencies, preserve lean body mass, help patients better tolerate treatments and minimize nutrition-related side effects and complications, etc. Recent interest in clinical settings is also in maximizing quality of life of the patients which can also be modulated by appropriate nutrition.

• Journal of the Korean Dietetic Association
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• v.5 no.1
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• pp.48-53
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• 1999

This study was prospectively conducted to investigate any relationship of nutritional status at the time of admission to length of hospital stay and mortality. All patients admitted to the Asan Medical Center between October 13 and November 12, 1997 who met the study criteria were included in the study. Patients were classified as Not-at-risk, At-risk Ⅰ or At-risk Ⅱ based on the levels of serum albumin and total lymphocyte count in a computerized nutrition screening program. Sixty three percent of the patients were classified as Not-at-risk Group, 29% as At-risk Group Ⅰ and 8% as At-risk Group Ⅱ. Significant correlation was observed between nutritional status and LOS (P＜0.01) as well as mortality rate (P＜0.05). The more the patient had the nutritional risk factors, the longer the LOS and the higher the mortality rate were. Further studies have to be done in order to demonstrate cost-effectiveness of medical therapy for the malnourished hospitalized patients.

• Journal of Nutrition and Health
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• v.52 no.4
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• pp.332-341
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• 2019

Purpose: Poor nutrition in hospitalized patients is closely linked to an increased risk of infection, which can result in complications affecting mortality, as well as increased length of hospital stay and hospital costs. Therefore, adequate nutritional support is essential to manage the nutritional risk status of patients. Nutritional support needs to be preceded by nutrition screening, in which accuracy is crucial, particularly for the initial screening. To perform initial nutrition screening of hospitalized patients, we used the Catholic Kwandong University (CKU) Nutritional Risk Screening (CKUNRS) tool, originally developed at CKU Hospital. To validate CKUNRS against the Patient-Generated Subjective Global Assessment (PG-SGA) tool, which is considered the gold standard for nutritional risk screening, results from both tools were compared. Methods: Nutritional status was evaluated in 686 adult patients admitted to CKU Hospital from May 1 to July 31, 2018 using both CKUNRS and PG-SGA. Collected data were analyzed, and the results compared, to validate CKUNRS as a nutrition screening tool. Results: The comparison of CKUNRS and PG-SGA revealed that the prevalence of nutritional risk on admission was 15.6% (n = 107) with CKUNRS and 44.6% (n = 306) with PG-SGA. The sensitivity and specificity of CKUNRS to evaluate nutritional risk status were 98.7% (96.8 ~ 99.5) and 33.3% (28.1 ~ 39.0), respectively. Thus, the sensitivity was higher, but the specificity lower compared with PG-SGA. Cohen's kappa coefficient was 0.34, indicating valid agreement between the two tools. Conclusion: This study found concordance between CKUNRS and PG-SGA. However, the prevalence of nutritional risk in hospitalized patients was higher when determined by CKUNRS, compared with that by PG-SGA. Accordingly, CKUNRS needs further modification and improvement in terms of screening criteria to promote more effective nutritional support for patients who have been admitted for inpatient care.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.15 no.2
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• pp.99-105
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• 2008

Purpose: We evaluated patient nutritional status in a home care setting. Method: We recruited 81 patients who received in-home care using a screening sheet. The level of nutrition-related serum marker (albumin) was checked via medical records and data analyzed using descriptive analysis, t-tests, and $X^2$-test. Results: Nutritional status varied according to the primary medical diagnosis. Poor nutritional status was significantly higher in cancer patients than in other diseases. Serum albumin levels were significantly lower in the malnutrition group than the good nutrition group. Conclusions: Nutrition screening can determine the nutritional status in home care patients. Home care nurse practitioners should consider nutritional status when assessing patient health.

• Korean Journal of Community Nutrition
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• v.27 no.3
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• pp.205-222
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• 2022

Objectives: This study examined the characteristics of patients according to nutritional status assessed by five nutritional screening tools: Patient-Generated Subjective Global Assessment (PG-SGA), NUTRISCORE, Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) and to compare the agreement, sensitivity, and specificity of these tools. Methods: A total of 952 gastric cancer patients who underwent gastrectomy and chemotherapy from January 2009 to December 2012 were included. The patients were categorized into malnutrition and normal status according to five nutritional screening tools one month after surgery. The Spearman partial correlation, Cohen's Kappa coefficient, the area under the curve (AUC), sensitivity, and specificity of each two screening tools were calculated. Results: Malnutrition was observed in 86.24% of patients based on the PG-SGA and 85.82% based on the NUTRISCORE. When NRI or CONUT were applied, the proportions of malnutrition were < 30%. Patients with malnutrition had lower intakes of energy and protein than normal patients when assessed using the PG-SGA, NUTRISCORE, or NRI. Lower levels of albumin, hemoglobin, total lymphocyte count, and total cholesterol and longer postoperative hospital stays were observed among patients with malnutrition compared to normal patients when NRI, PNI, or CONUT were applied. Relatively high agreement for NUTRISCORE relative to PG-SGA was found; the sensitivity was 90.86%, and the AUC was 0.78. When NRI, PNI, and CONUT were compared, the sensitivities were 23.72% for PNI relative to NRI, 44.53% for CONUT relative to NRI, and 90.91% for CONUT relative to PNI. The AUCs were 0.95 for NRI relative to PNI and 0.91 for CONUT relative to PNI. Conclusions: NUTRISCORE had a high sensitivity compared to PG-SGA, and CONUT had a high sensitivity compared to PNI. NRI had a high specificity compared to PNI. This relatively high sensitivity and specificity resulted in 77.00% agreement between PNI and CONUT and 77.94% agreement between NRI and PNI. Further cohort studies will be needed to determine if the nutritional status assessed by PG-SGA, NUTRISCORE, NRI, PNI, and CONUT predicts the gastric cancer prognosis.

• Journal of Korean Traditional Oncology
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• v.24 no.2
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• pp.1-11
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• 2019

Objectives : We investigated whether a single center nutrition screening tool (Kyunghee Neo Nutrition Risk Screening, KNNRS) can predict survival in patients with metastatic cancer. Methods : We retrospectively reviewed data of inpatients with metastatic cancer from April 2016 to August 2019. Data on demographic and clinical parameters were collected from electronic medical records, and overall survival was estimated using the Kaplan-Meier method. Stepwise Cox regression analysis was used to determine factors associated with survival. Patients with a KNNRS score of 0 to 3 were classified as "no-risk", 4 to 10 as "low-risk", and 11 to 20 as "high-risk". Results : Total 105 patients were included in the study. According to nutritional screening at baseline, 25 patients (23.8%, median age 57.0) were classified as ""no risk"" group; 80 patients (76.2%, median age 68.5) as "low risk" group; No patients as "high risk" group. Predictors of survival were Eastern Cooperative Oncology Group Performance Status score of 3 or 4 (hazard ratio [HR] = 1.93; 95% confidence interval [CI] = 1.21-3.10), hemoglobin less than 10 g/dL (HR = 1.97; 95% CI = 1.25-3.10) and C-reactive protein more than 1.0 mg/dL (HR = 1.95; 95% CI = 1.21-3.13). Kaplan-Meier survival analysis showed significant differences in the survival between KNNRS groups: ""no risk"" group: 6.1 ± 1.4 months (95% CI = 3.37-8.83); ""low risk"" group: 3.4 ± 0.9 months (95% CI = 1.5-5.37). Conclusions : Nutritional status according to KNNRS wasn't significant predictor of survival for patients with metastatic cancer. Improvement of KNNRS score thresholds is needed.

• Korean Journal of Community Nutrition
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• v.6 no.5
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• pp.734-743
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• 2001

Iron deficiency anemia is a worldwide public health problem relevant to unsound nutritional practice. While the prevalence of iron deficiency anemia is very common among pregnant women, appropriate nutritional service programs to improve the iron status are lacking in Korea. In an attempt to develop a nutritional screening tool to separate the high-risk subjects of iron deficiency, we carried out a nutritional survey for 115 Korean pregnant women whose gestational age ranged from 13 to 24 weeks. Each subject was interviewed with questionnaires for general characteristics and dietary habits. Food intake was measured by 24-hour recap method and 2 day record. Fasting blood was drawn for measuring hemoglobin and serum ferritin. It appeared that half of the pregnant women belonged to the anemia group and had insufficient dietary habits to provide adequate amounts of dietary iron. The first gravida and the working women had better hematological iron indicators than the second or more gravida and the housewives. It also appeared that women who had bigger family size and lower BMI in pre-pregnancy had poorer iron status. Among the food consumption habits, fruit dependent dietary habit was related to poor iron status. Sufficiently consumed green leafy vegetable and appropriate amount of food before morning sickness were positive factors of iron stares. Our results indicated that parity, BMI, current job, family size, food habits including consumption of fruits, green & yellow vegetables, and food habits before the onset of morning sickness are significant factors to contribute the Fe deficiency anemia during pregnancy.

• Journal of Korean Public Health Nursing
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• v.31 no.2
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• pp.209-219
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• 2017

Purpose: The purpose of this study was to identify the gender differences in the cognitive function and nutritional status among elderly people living in the community. Methods: This study used data from the 2014 National Survey on the Elderly and focused on 10,054 respondents who answered that they did not have dementia. The Korean version of Mini-Mental State Examination for Dementia Screening and the Nutrition Screening Initiative were used. IBM SPSS Statistics 23.0 was used to conduct statistical analyses. Results: The cognitive function score was 25.30 for men, which was higher than for women. The percentage of subjects who showed cognitive decline was 25.5% for males and 50.2% for females, which was statistically significant (p<.001). There were statistically significant differences in the nutritional status between males and females (p<.001). There was a statistically significant negative correlation between the cognitive function and nutritional status in both men and women (p<.001, p<.001). Conclusion: These results showed that the intervention to maintain cognitive functioning should be provided to elderly women with a low education level or high number of chronic diseases and medication, and an intervention to prevent the cognitive decline of the elderly should include nutritional management for health and function maintenance.

• Journal of Nutrition and Health
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• v.43 no.2
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• pp.189-196
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• 2010

Malnutrition has been associated with higher hospital costs, mortality, rates of complications and longer length of hospital stay. Several nutritional screening tools have been developed to identify patients with malnutrition risk. However, many of those require much time and labor to administer and may not be applicable to a Korean population. Therefore, the aim of this study was to develop nutritional screening tool for Korean inpatients. Then we compare nutritional screening tools that developed and previously described. Seven hundred sixty-four patients at hospital admission were screened nutritional status and classified as well nourished, malnutrition stage 1 or stage 2 by the KNNRS (Kyunghee Neo Nutrition Risk Screening), PG-SGA (Patient-Generated Subjective Global Assessment) and NRS-2002 (Nutritional Risk Screening-2002). The KNNRS, PG-SGA and NRS-2002 respectively classified 28.7%, 51.3%, 48.5% of patients as malnourished status. Compared to the PG-SGA, the KNNRS had sensitivity 60.7% (95% CI 54.2-67.0) and specificity 81.2% (95% CI 75.3-85.2). Agreement was fair between KNNRS and PG-SGA (k = 0.34). Compared to the NRS-2002, the KNNRS had sensitivity 57.8% (95% CI 53.4-60.9) and specificity 64.4% (95% CI 60.2-69.8). Agreement was poor between KNNRS and NRS-2002 (k = 0.18). These result should include that the KNNRS and PGSGA have clinical relevance and fair concordance. However the rate of malnourished patients by KNNRS were less than by PG-SGA. For more effectivity of nutritional screening and management, the criteria of KNNRS would be better revised.