scholarly journals Standardized Phase Angle as a Prognostic and Nutritional Status Tool for Pancreatic Cancer Patients Undergoing Pancreaticoduodenectomy: A Cross-sectional Study (P12-025-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Wei Chen ◽  
Shengnan Zhou

Abstract Objectives This study investigated the use of standardized phase angle (SPA), determined by bioelectrical impedance analysis (BIA), as a nutrition status tool and prognostic factor for complications associated with pancreaticoduodenectomy (PD) in pancreatic cancer patients. Methods A cross-sectional study was conducted with 49 participants. All participants were assessed for nutritional risk and nutritional status using Nutritional Risk Screening 2002 (NRS-2002), Subjective Global Assessment (SGA) tools, Global Leadership Initiative on Malnutrition (GLIM) tool and BIA. The Clavien-Dindo classification method for surgical complications was used to identify and classify postoperative complications. Independent-samples T-tests, chi-square tests and Spearman correlation analyses were used to evaluate the association between SPA, nutrition and postoperative complications. Results A total of 49 patients were enrolled, and 20 patients (40%) had postoperative complications. The SPA value for the nourished group was significantly higher than the SPA value for the malnourished group (P = 0.021, 0.019, 0.023). Patients who were below the SPA cut-off values (−1.015, −1.065, and −0.69) were more likely to have postoperative complications (P = 0.009), whereas NRS-2002, SGA, and GLIM scores were not associated with postoperative complications. The SPA value of the group with complications was significantly lower than that of the group without complications (P = 0.004). The SPA threshold value for predicting postoperative complications in pancreatic cancer was −1.095 (AUC 0.737; 95% CI, 0.59, 0.88; P = 0.005). Conclusions The SPA is a prognostic indicator of postoperative complications in pancreatic cancer patients undergoing PD and is an effective tool for assessing nutritional status in pancreatic cancer patients. Funding Sources none. Supporting Tables, Images and/or Graphs

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jéssika M Siqueira ◽  
Jéssika D P Soares ◽  
Thaís C Borges ◽  
Tatyanne L N Gomes ◽  
Gustavo D Pimentel

AbstractCancer patients possess metabolic and pathophysiological changes and an inflammatory environment that leads to malnutrition. This study aimed to (i) determine whether there is an association between neutrophil-to-lymphocyte ratio (NLR) and nutritional risk, and (ii) identify the cut-off value of NLR that best predicts malnutrition by screening for nutritional risk (NRS 2002). This cross-sectional study included 119 patients with unselected cancer undergoing chemotherapy and/or surgery. The NRS 2002 was applied within 24 h of hospitalisation to determine the nutritional risk. Systemic inflammation was assessed by blood collection, and data on C-reactive protein (CRP), neutrophils, and lymphocytes were collected for later calculation of NLR. A receiver operating characteristic (ROC) curve was used to identify the best cut-point for NLR value that predicted nutritional risk. Differences between the groups were tested using the Student’s t-, Mann–Whitney U and Chi-Square tests. Logistic regression analyses were performed to assess the association between NLR and nutritional risk. The ROC curve showed the best cut-point for predicting nutritional risk was NLR > 5.0 (sensitivity, 60.9%; specificity, 76.4%). The NLR ≥ 5.0 group had a higher prevalence of nutritional risk than the NLR < 5.0 group (NLR ≥ 5.0: 73.6% vs. NLR < 5.0: 37.9%, p = 0.001). The NLR group ≥ 5.0 showed higher values of CRP and NLR than the NLR < 5.0 group. In addition, patients with NLR ≥ 5.0 also had higher NRS 2002 values when compared to the NLR < 5.0 group (NLR ≥ 5.0: 3.0 ± 1.1 vs. NLR < 5.0: 2.3 ± 1.2, p = 0.0004). Logistic regression revealed an association between NRS and NLR values. In hospitalised unselected cancer patients, systemic inflammation measured by NLR was associated with nutritional risk. Therefore, we highlight the importance of measuring the NLR in clinical practice, with the aim to detect nutritional risk.


2021 ◽  
Vol 14 (01) ◽  
pp. 011-015
Author(s):  
Rodrigo Fernandes Weyll Pimentel ◽  
Gilson Cruz de Moraes ◽  
Shalla Gomes Cavalcanti Barcelos ◽  
Pedro Carlos Muniz de Figueiredo ◽  
Magno Conceição Das Merces

Abstract Introduction The Coronavirus has spread to almost every country in the world, causing the coronavirus disease (COVID-19). The coronavirus stands out among the other infections especially by it's high contagious power and important effects on the respiratory system. The COVID-19 has differents ways of presentation and these are influenced by the patient's previous nutricional status, correlated with the patient's lifestyle and comorbities. Objective this survey seeks to analyze the nutritional status and the prevalence of obesity in patients hospitalized with SARS-CoV-2. Methods: this is a descriptive, prospective and cross-sectional study type, which 41 patients affected by COVID-19 were interviewed. Patient's weight and height were used to assess the BMI, and nutritional risk assessment was performed using the Nutritional Risk Screening tool (NRS 2002). For the analysis, Absolute (AF) and Relative Frequency (RF), the mean and the standard deviation were calculated. Results It was observerd that 78% of the participants had a high nutritional risk, while only 22% had a low nutritional risk. Besides that, 34% showed overweight and 41.4% showed obesity. Conclusion the existence of a high prevalence of increased nutritional risk was evidenced, in addition to the high frequency of overweight in patients affected by SARS-CoV-2.


2020 ◽  
Vol 39 (5) ◽  
pp. 1564-1571 ◽  
Author(s):  
Iolanda Cioffi ◽  
Maurizio Marra ◽  
Nicola Imperatore ◽  
Maria Carmen Pagano ◽  
Lidia Santarpia ◽  
...  

2021 ◽  
Author(s):  
Yanfei Wang ◽  
Ziqi Liu ◽  
yunyi Wang ◽  
Xiaoyan Chen ◽  
Zhongfen Liu ◽  
...  

Abstract Background and Aims: The Global Leadership Initiative on Malnutrition (GLIM) criteria is a new framework for diagnosing malnutrition in combination of phenotypic and etiologic criteria after nutrition screening using validated screening tools. The aim of this study was to evaluate the efficacy of malnutrition screening tool (MST), malnutrition universal screening tool (MUST) and nutritional risk screening 2002 (NRS2002) as the first step of GLIM framework in comparison to Patients-Generated Subjective Global Assessment (PG-SGA) in Chinese ambulatory cancer patients.Methods: A single-center prospective cross-sectional study was conducted. Nutritional screening and assessment were performed within 4h after admission to the hospital using a structured questionnaire including MST, MUST, NRS2002, PG-SGA and GLIM, with supplement information of calf circumference (CC) measurement and body composition measurement using bioelectrical impedance analysis (BIA). Malnutrition diagnosis made by GLIM framework using MST, MUST or NRS2002 as the first step or without screening step were compared to PG-SGA separately. Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values and κ values were used to evaluate performance of the screening tools.Results: Of the 562 included patients, Of the participants 62.8% (355/562) were male and 37.2% (210/562) were female, with a male to female radio of 1.69:1. The median age of the patients was 59.0 years (range, 21-82y; interquels range 52.0-65.0y). From the 562 patients included in the study, 41.8% of patients were evaluated as malnutrition (PG-SGA≥4) and 11.9% were diagnosed as severe malnutrition (PG-SGA D). For GLIM criteria, omitting the screening step yielded fair accordance with PG-SGA in diagnosing malnutrition (κ=0.623) and severe malnutrition (κ=0.515). Using MUST as the first step of GLIM framework has better performance (κ=0.614; κ=0.515) than using MST (κ=0.504, κ=0.496) or NRS2002 (κ=0.363, κ=0.503) as the screening tool regardless of severity gradings.Conclusions: Using PG-SGA as the standard, GLIM framework omitting first step has better performance compared with using MST, MUST or NRS2002 as the screening tool. Among the screening tools validated to be used in the first step of GLIM framework, MUST may be the better choice for ambulatory cancer patients.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoning Liu ◽  
Jing Cao ◽  
Zheng Zhu ◽  
Xia Zhao ◽  
Jing Zhou ◽  
...  

Abstract Background Nutrition is a crucial factor that can impact morbidity and mortality in older people living with HIV (PLWH). Studies on nutritional risk and nutritional status in all age groups in PLWH have been conducted. However, few studies have focused on nutritional risk in older PLWH. This study aimed to describe the nutritional risk and nutritional status in older PLWH, and explore factors associated with nutritional risk and undernutrition status. Methods We conducted a cross-sectional study. We recruited participants aged 50 years or older from the Third People’s Hospital of Shenzhen from January 2016 to May 2019. Nutritional risk and nutritional status were evaluated by the Nutritional Risk Screening 2002 (NRS 2002) tool, body mass index (BMI), albumin level, and prealbumin level on the first day of admission. Logistic regression models were used to identify the factors associated with undernutrition based on the BMI, albumin, and prealbumin criteria. Results A total of 196 older PLWH were included in the analysis. We found that 36% of hospitalized older PLWH had nutritional risk, and 12–56% of them had undernutrition based on the BMI, albumin, and prealbumin criteria. An increased nutritional risk score was associated with older age (β = 0.265 CI [0.021, 0.096], P = 0.002), a higher viral load (β = − 0.186 CI [− 0.620, − 0.037], P = 0.028), a lower BMI (β = − 0.287 CI [− 0.217, − 0.058], P = 0.001), and a lower albumin level (β = − 0.324 CI [− 8.896, − 1.230], P = 0.010). The CD4 count was associated with the prevalence of undernutrition based on the albumin criterion (OR = 15.637 CI [2.742, 89.178], P = 0.002). Conclusion Our study indicated that nutritional screening, assessment, and management should be routinely performed in hospitalized older PLWH. HIV-specific measures should be used to assess nutritional risk, and albumin, BMI, and other assessments should be used in combination to identify undernutrition in older PLWH.


2020 ◽  
Vol 60 (1) ◽  
pp. 30-37
Author(s):  
Jelena Pavlović ◽  
Maja Račić ◽  
Nedeljka Ivković

AbstractBackgroundThe aim of the study was to determine the ability of ferritin, haemoglobin, albumin and total cholesterol to identify nutritional risk and malnutrition among elderly primary care patients.MethodsThe cross-sectional study included 446 elderly adults over 65 years of age from four areas of Bosnia and Herzegovina. In addition to anthropometric, functional, cognitive and biochemical indicators, nutritional status was evaluated using 24-hour recall of meals, the Mini Nutritional Assessment (MNA), and Seniors in the Community: Risk Evaluation for Eating and Nutrition, Version II (SCREEN II).ResultsMalnourished/at-risk study respondents had lower mean levels of haemoglobin (P=0.001) and total cholesterol (P<0.001), compared to those with normal nutritional status. Albumin levels significantly differed regarding nutritional status (P=0.004), but not nutritional risk level (P=0.521). Significant differences in serum ferritin levels were not found between malnourished and normally nourished study respondents (P=0.779) Determinants of albumin level were eating more than three meals a day (P<0.001), fewer than two portions of fruit and vegetables a day (P=0.024), drinking one glass of wine (P<0.001) and reporting functional independence (P=0.011). The AUC curves for serum ferritin, albumin and total cholesterol levels in men and women, as well as for haemoglobin levels in women, were poor to fair (AUC<0.800).ConclusionAlthough ferritin, haemoglobin, albumin and total cholesterol may be useful biomarkers of nutritional status, their accuracy in diagnosing malnutrition and nutritional risk among elderly primary health care patients is limited.


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