Comparison of the Performance of Existing Nutritional Screening Tools against Subjective Global Assessment in Cirrhotic Patients

2021 ◽  
Vol 104 (8) ◽  
pp. 1301-1308
Keyword(s):  
Nutritional Status ◽  
Global Assessment ◽  
Screening Tool ◽  
Risk Index ◽  
Assessment Tools ◽  
Screening Tools ◽  
Subjective Global Assessment ◽  
Nutritional Screening ◽  
Nutritional Risk Index ◽  
Cirrhotic Patients

Background: Malnutrition in cirrhosis has a significant negative impact on morbidity and mortality. There is no agreed gold standard of the screening tool. Study comparing the diagnostic properties of nutritional assessment tools in cirrhotic patients is limited. The Subjective Global Assessment (SGA) is one of the global assessment tools. It is used to assess nutritional status in different patient populations. Objective: To evaluate the diagnostic properties of different nutritional screening tools compared with SGA in cirrhotic patients. Materials and Methods: A cross-sectional study was conducted at the HRH Princess Maha Chakri Sirindhorn Medical Center. All cirrhotic patients were enrolled. The nutritional status was evaluated by the SGA, the Royal Free Hospital Subjective Global Assessment (RFH-SGA), the Royal Free Hospital-Nutritional Prioritizing tool (RFH-NPT), the Liver Disease Undernutrition Screening Tool (LDUST), the Malnutrition Universal Screening Tool (MUST), the Prognostic Nutritional Index (PNI-O), the Nutritional Risk Index (NRI), the Spanish Society of Parenteral, the Enteral Nutrition (SENPE), and the Controlling Nutritional Status (CONUT). Sensitivity, specificity, positive predictive value, and negative predictive value were calculated to evaluate RFH-SGA, RFH-NPT, LDUST, MUST, PNI-O, NRI, SENPE, and CONUT compared with SGA. Results: Ninety-four cirrhotic patients were included. The mean age was 60.82 (SD 10.11) years. Patients with cirrhosis Child Turcotte Pugh (CTP) A, B, and C were 62, 21, and 11, respectively. Twenty-five patients (28.7%) were malnourished according to SGA, five with CTP A cirrhosis, twelve with CTP B cirrhosis, and ten with CTP C cirrhosis. The present study also showed that NRI had the highest sensitivity (100%) and LDUST had the highest specificity (94%). Conclusion: NRI is an effective tool with high sensitivity for identifying malnutrition in early stage of cirrhosis. Keywords: Nutritional screening; Cirrhosis; Subjective Global Assessment; SGA; Nutritional Risk Index; NRI

scholarly journals Evaluation of the effectiveness of eight screening tools in detecting risk of malnutrition in cirrhotic patients: the KIRRHOS study

2019 ◽  
Vol 122 (12) ◽  
pp. 1368-1376 ◽  
Author(s):  
Alexandra Georgiou ◽  
Georgios V. Papatheodoridis ◽  
Alexandra Alexopoulou ◽  
Melanie Deutsch ◽  
Ioannis Vlachogiannakos ◽  
...  
Keyword(s):  
Liver Disease ◽  
Screening Tool ◽  
Nutritional Assessment ◽  
Risk Index ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Risk Screening ◽  
Nutritional Risk Index ◽  
Nrs 2002 ◽  
Cirrhotic Patients

AbstractMalnutrition risk screening in cirrhotic patients is crucial, as poor nutritional status negatively affects disease prognosis and survival. Given that a variety of malnutrition screening tools is usually used in routine clinical practice, the effectiveness of eight screening tools in detecting malnutrition risk in cirrhotic patients was sought. A total of 170 patients (57·1 % male, 59·4 (sd 10·5) years, 50·6 % decompensated ones) with cirrhosis of various aetiologies were enrolled. Nutritional screening was performed using the Malnutrition Universal Screening Tool, Nutritional Risk Index, Malnutrition Screening Tool, Nutritional Risk Screening (NRS-2002), Birmingham Nutritional Risk Score, Short Nutritional Assessment Questionnaire, Royal Free Hospital Nutritional Prioritizing Tool (RFH-NPT) and Liver Disease Undernutrition Screening Tool (LDUST). Malnutrition diagnosis was defined using the Subjective Global Assessment (SGA). Data on 1-year survival were available for 145 patients. The prevalence of malnutrition risk varied according to the screening tools used, with a range of 13·5–54·1 %. RFH-NPT and LDUST were the most accurate in detecting malnutrition (AUC = 0·885 and 0·892, respectively) with a high sensitivity (97·4 and 94·9 %, respectively) and fair specificity (73·3 and 58 %, respectively). Malnutrition according to SGA was an independent prognostic factor of within 1-year mortality (relative risk was 2·17 (95 % CI 1·0, 4·7), P = 0·049) after adjustment for sex, age, disease aetiology and Model for End-stage Liver Disease score, whereas nutrition risk according to RFH-NPT, LDUST and NRS-2002 showed no association. RFH-NPT and LDUST were the only screening tools that proved to be accurate in detecting malnutrition in cirrhotic patients.

scholarly journals Nutritional screening based on objective indices at admission predicts in-hospital mortality in patients with COVID-19

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Feier Song ◽  
Huan Ma ◽  
Shouhong Wang ◽  
Tiehe Qin ◽  
Qing Xu ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Risk Index ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Hospital Death ◽  
Nutritional Screening ◽  
Nutritional Risk Index ◽  
Conut Score

Abstract Background Could nutritional status serve as prognostic factors for coronavirus disease 2019 (COVID-19)? The present study evaluated the clinical and nutritional characteristics of COVID-19 patients and explored the relationship between risk for malnutrition at admission and in-hospital mortality. Methods A retrospective, observational study was conducted in two hospitals in Hubei, China. Confirmed cases of COVID-19 were typed as mild/moderate, severe, or critically ill. Clinical data and in-hospital death were collected. The risk for malnutrition was assessed using the geriatric nutritional risk index (GNRI), the prognostic nutritional index (PNI), and the Controlling Nutritional Status (CONUT) via objective parameters at admission. Results Two hundred ninety-five patients were enrolled, including 66 severe patients and 41 critically ill patients. Twenty-five deaths were observed, making 8.47% in the whole population and 37.88% in the critically ill subgroup. Patients had significant differences in nutrition-related parameters and inflammatory biomarkers among three types of disease severity. Patients with lower GNRI and PNI, as well as higher CONUT scores, had a higher risk of in-hospital mortality. The receiver operating characteristic curves demonstrated the good prognostic implication of GNRI and CONUT score. The multivariate logistic regression showed that baseline nutritional status, assessed by GNRI, PNI, or CONUT score, was a prognostic indicator for in-hospital mortality. Conclusions Despite variant screening tools, poor nutritional status was associated with in-hospital death in patients infected with COVID-19. This study highlighted the importance of nutritional screening at admission and the new insight of nutritional monitoring or therapy.

scholarly journals Nutritional screening based on objective indices at admission predicts in-hospital mortality in patients with COVID-19

2020 ◽  
Author(s):  
Feier Song ◽  
Huan Ma ◽  
Shouhong Wang ◽  
Tiehe Qin ◽  
Qing Xu ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Risk Index ◽  
Assessment Tools ◽  
Nutritional Risk ◽  
Hospital Death ◽  
Nutritional Screening ◽  
Nutritional Risk Index ◽  
Conut Score

Abstract Background: Could nutritional status serve as prognostic factors for coronavirus disease 2019 (COVID-19)? The present study evaluated the clinical and nutritional characteristics of COVID-19 patients and explored the relationship between nutritional risk at admission and in-hospital mortality.Methods: A retrospective, observational study was conducted in two hospitals in Hubei, China. Confirmed cases of COVID-19 were typed as mild/moderate, severe, or critically ill. Clinical data and in-hospital death were collected. Nutritional risk was assessed using the Geriatric Nutritional Risk Index (GNRI), the Prognostic Nutritional Index (PNI), and the Controlling Nutritional Status (CONUT) via objective parameters at admission.Results: 295 patients were enrolled, including 66 severe patients and 41 critically ill patients. 25 deaths were observed, making 8.47% in the whole population and 37.88% in the critically ill subgroup. Patients had significant differences in nutrition-related parameters and inflammatory biomarkers among three types of disease severity. Patients with lower GNRI and PNI score, as well as higher CONUT, had a higher risk of in-hospital mortality. The receiver operating characteristic curves demonstrated the good prognostic implication of GNRI and CONUT score. The multivariate logistic regression showed that baseline nutritional status, assessed by GNRI, PNI, or CONUT score, was a prognostic indicator for in-hospital mortality.Conclusions: Despite variant assessment tools, poor nutritional status was associated with in-hospital death in patients infected with COVID-19. This study highlighted the importance of nutritional screening at admission and the new insight of nutritional monitoring or therapy.

scholarly journals Comparison of Simplified Creatinine Index and Systemic Inflammatory Markers for Nutritional Evaluation of Hemodialysis Patients

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1870
Author(s):  
Ming-Tsun Tsai ◽  
Wei-Cheng Tseng ◽  
Shuo-Ming Ou ◽  
Kuo-Hua Lee ◽  
Chih-Yu Yang ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Body Mass ◽  
Inflammatory Markers ◽  
Risk Index ◽  
Hemodialysis Patients ◽  
Adverse Outcomes ◽  
Fat Free Mass ◽  
Screening Tools ◽  
Composition Analysis ◽  
Nutritional Risk Index

Protein-energy wasting (PEW) is associated with adverse outcomes in hemodialysis patients. This study compares the simplified creatinine index (SCI) and circulating inflammatory markers as nutritional screening tools for hemodialysis patients. Maintenance hemodialysis patients (230 total patients, 34.8% women, 64.0 ± 14.3 years old) from a tertiary medical center were assessed for demographic data, body composition analysis, biochemistry tests, and circulating inflammatory biomarkers. The SCI was calculated using Canaud’s formula. Reduced fat-free mass index (FFMI), a surrogate of lean body mass, was identified according to the European Society for Clinical Nutrition and Metabolism guidelines. Nutritional status was assessed by the geriatric nutritional risk index (GNRI) and International Society of Renal Nutrition and Metabolism (ISRNM) criteria. Multivariate logistic regression revealed independent risk factors for low FFMI and malnutrition. Of the patients, 47.4% had low FFMI. Patients with a reduction in FFMI tended to be older females with lower body mass index, SCI, and GNRI scores but significantly higher levels of interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), and IL-8. SCI was found to be an independent predictor for reduced FFMI (OR 0.57, 95% CI 0.40–0.81) and presence of PEW according to ISRNM criteria (OR 0.38, 95% CI 0.21–0.68). Although a positive association between systemic inflammatory markers and low FFMI was observed, this association disappeared in multivariate analysis. Moreover, the inflammatory markers examined in this study were not associated with malnutrition after adjusting for potential confounders. Compared with markers of systemic inflammation, SCI achieved better performance in assessing the nutritional status of hemodialysis patients.

scholarly journals Assessment of Nutritional Status of Nepalese Hemodialysis Patients by Anthropometric Examinations and Modified Quantitative Subjective Global Assessment

2015 ◽  
Vol 8 ◽  
pp. NMI.S27640 ◽  
Author(s):  
Arun Sedhain ◽  
Rajani Hada ◽  
Rajendra Kumar Agrawal ◽  
Gandhi R. Bhattarai ◽  
Anil Baral
Keyword(s):  
Nutritional Status ◽  
Serum Albumin ◽  
Negative Correlation ◽  
Global Assessment ◽  
Anthropometric Measurements ◽  
Assessment Tools ◽  
Maintenance Hemodialysis ◽  
Subjective Global Assessment ◽  
Skin Fold ◽  
Moderate Malnutrition

Objective To assess the nutritional status of patients on maintenance hemodialysis by using modified quantitative subjective global assessment (MQSGA) and anthropometric measurements. Method We Conducted a cross sectional descriptive analytical study to assess the nutritional status of fifty four patients with chronic kidney disease undergoing maintenance hemodialysis by using MQSGA and different anthropometric and laboratory measurements like body mass index (BMI), mid-arm circumference (MAC), mid-arm muscle circumference (MAMC), triceps skin fold (TSF) and biceps skin fold (BSF), serum albumin, C-reactive protein (CRP) and lipid profile in a government tertiary hospital at Kathmandu, Nepal. Results Based on MQSGA criteria, 66.7% of the patients suffered from mild to moderate malnutrition and 33.3% were well nourished. None of the patients were severely malnourished. CRP was positive in 56.3% patients. Serum albumin, MAC and BMI were (mean + SD) 4.0 + 0.3 mg/dl, 22 + 2.6 cm and 19.6 ± 3.2 kg/m2 respectively. MQSGA showed negative correlation with MAC ( r = −0.563; P = < 0.001), BMI ( r = −0.448; P = < 0.001), MAMC ( r = −0.506; P = < .0001), TSF ( r = −0.483; P = < .0002), and BSF ( r = −0.508; P = < 0.0001). Negative correlation of MQSGA was also found with total cholesterol, triglyceride, LDL cholesterol and HDL cholesterol without any statistical significance. Conclusion Mild to moderate malnutrition was found to be present in two thirds of the patients undergoing hemodialysis. Anthropometric measurements like BMI, MAC, MAMC, BSF and TSF were negatively correlated with MQSGA. Anthropometric and laboratory assessment tools could be used for nutritional assessment as they are relatively easier, cheaper and practical markers of nutritional status.

Use of an Abridged Scored Patient-Generated Subjective Global Assessment (abPG-SGA) as a Nutritional Screening Tool for Cancer Patients in an Outpatient Setting

2013 ◽  
Vol 65 (2) ◽  
pp. 234-239 ◽  
Author(s):  
Denise K. Gabrielson ◽  
Donna Scaffidi ◽  
Elizabeth Leung ◽  
Linda Stoyanoff ◽  
Jennifer Robinson ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Global Assessment ◽  
Screening Tool ◽  
Outpatient Setting ◽  
Subjective Global Assessment ◽  
Nutritional Screening
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