Prognostic Value of 3 Nutritional Screening Tools to Predict 30-Day Outcome in Patients Undergoing Carotid Artery Stenting

Angiology ◽  
2021 ◽  
pp. 000331972110403
Author(s):  
Ender Ö Çakmak ◽  
Lütfi Öcal ◽  
Emrah Erdoğan ◽  
Sinan Cerşit ◽  
Süleyman Çağan Efe ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Carotid Artery Stenting ◽  
Risk Index ◽  
Predictive Ability ◽  
Prognostic Nutritional Index ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Post Procedure ◽  
Nutritional Risk Index ◽  
Conut Score

The effect of malnutrition on outcomes after carotid artery stenting (CAS) is not well known. This study reports the relationship between malnutrition and post-procedure 30-day major adverse events (MAEs). A total of 978 patients hospitalized for CAS were enrolled in the study. Controlling nutritional status (CONUT) score, the nutritional risk index (NRI), and the prognostic nutritional index (PNI) were calculated. MAEs (myocardial infarction, stroke/transient ischemic attack and mortality) were compared. According to the CONUT score, NRI, and PNI, 9.4%, 41%, and 11.4% patients were moderately or severely malnourished, respectively; 74.8% were at least mildly malnourished by at least 1 score. Forty-seven patients (4.8%) had a post-procedure 30-day MAE. Continuous classifications of the indexes were independently associated with higher MAE. CONUT showed the highest predictive ability, whereas NRI had the lowest (C-index: CONUT, 0.701; NRI, 0.681; PNI, 0.688). According to categorical classification of indexes, only CONUT and PNI showed predictive ability for MAE. Malnutrition assessment could identify patients with CAS at elevated risk for MAE. CONUT, NRI, and PNI continuous scores were independent prognostic factors for the post-procedure 30-day MAE. According to our study, CONUT showed the highest predictive ability.

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 The Prognostic Nutritional Index and Nutritional Risk Index Are Associated with Disease Activity in Patients with Systemic Lupus Erythematosus

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 638 ◽  
Author(s):  
María Correa-Rodríguez ◽  
Gabriela Pocovi-Gerardino ◽  
José-Luis Callejas-Rubio ◽  
Raquel Fernández ◽  
María Martín-Amada ◽  
...  
Keyword(s):  
Disease Activity ◽  
Risk Index ◽  
Linear Regression Analysis ◽  
Damage Index ◽  
Prognostic Nutritional Index ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Systemic Lupus ◽  
Nutritional Index ◽  
Nutritional Risk Index

The prognostic nutritional index (PNI), controlling nutritional status (CONUT) score and nutritional risk index (NRI) have been described as useful screening tools for patient prognosis in several diseases. The aim of this study was to examine the relationship between PNI, CONUT and NRI with clinical disease activity and damage in 173 patients with systemic lupus erythematous (SLE). Disease activity was assessed with the SLE disease activity index (SLEDAI-2K), and disease-related organ damage was assessed using the SLICC/ACR damage index (SDI) damage index. PNI and NRI were significantly lower in active SLE patients than in inactive SLE patients (p < 0.001 and p = 0.012, respectively). PNI was inversely correlated with the SLEDAI score (p < 0.001) and NRI positively correlated with SLEDAI and SDI scores (p = 0.027 and p < 0.001). Linear regression analysis adjusting for age, sex and medications showed that PNI was inversely correlated with SLEDAI (β (95% CI) = −0.176 (−0.254, −0.098), p < 0.001) and NRI positively correlated with SLEDAI (β (95% CI) = 0.056 (0.019, 0.093), p = 0.003) and SDI (β (95% CI) = 0.047 (0.031, 0.063), p < 0.001). PNI (odds ratio (OR) 0.884, 95% confidence interval (CI) 0.809–0.967, p = 0.007) and NRI ((OR) 1.067, 95% CI 1.028–1.108, p = 0.001) were independent predictors of active SLE. These findings suggest that PNI and NRI may be useful markers to identify active SLE in clinical practice.

Abstract 12880: Malnutrition Assessed by Geriatric Nutritional Risk Index Provides the Long-term Prognostic Information in Patients Admitted for Acute Decompensated Heart Failure, Regardless of Reduced or Preserved Left Ventricular Ejection Fraction; A Comparison With Prognostic Nutritional Index and CONUT Score

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Takahisa Yamada ◽  
Takashi Morita ◽  
Yoshio Furukawa ◽  
Shunsuke Tamaki ◽  
Yusuke Iwasaki ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Serum Albumin ◽  
Risk Index ◽  
Left Ventricular ◽  
Nutritional Risk ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Nutritional Index ◽  
Nutritional Risk Index ◽  
Conut Score

Backgrounds: Malnutrition is associated with increased mortality risk in patients (pts) with acute decompensated heart failure(ADHF). Nutritional status is assessed by several indices, such as Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) score. However, there is no information available on the comparison of prognostic significance of these indices in ADHF pts, relating to reduced or preserved left ventricular ejection fraction (HFrEF or HFpEF). Methods and Results: We studied 303 consecutive pts admitted for ADHF and discharged alive (HFrEF(LVEF<50%);n=163, HFpEF(LVEF≥50%);n=140). Nutritional status was evaluated at the discharge by GNRI calculated as follows: 14.89 • serum albumin (g/dl) + 41.7 • BMI/22, PNI calculated as follows: 10 • serum albumin (g/dl) + 0.005 • total lymphocyte count (/ml) and CONUT score calculated by serum albumin, total cholesterol levels and lymphocyte count. During a follow-up period of 5.0±4.3 yrs, 75 pts had cardiovascular death (CVD). At multivariate Cox analysis, GNRI (p<0.0001) was significantly associated with CVD, independently of systolic blood pressure, serum sodium level and eGFR, although PNI and CONUT score showed a significant association with CVD at univariate analysis. ROC analysis revealed that GNRI of 88 was a fair discriminator for CVD (AUC 0.70(95%CI 0.63-0.77), p<0.0001). In group with HFrEF, CVD was significantly more frequently observed in pts with than without low GNRI <88 (48% vs 25%, p<0.0001, adjusted HR 3.5[1.8-6.6]). Furthermore, in group with HFpEF, pts with low GNRI had the significantly increased risk, compared to those with high GNRI>88 (36% vs 10%, p<0.0001, adjusted HR 3.8[1.4-10.2]). Conclusion: Malnutrition assessed by Geriatric Nutritional Index provides more valuable long-term prognostic information than PNI and CONUT score in pts admitted for ADHF, regardless of HFrEF or HFpEF.

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 Pre-albumin is a strong prognostic marker in elderly intensive care unit patients

2021 ◽  
Vol 45 (4-5) ◽  
pp. 225-228
Author(s):  
Liyan Luo ◽  
Min Wang
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Risk Index ◽  
Univariate Analysis ◽  
Prognostic Nutritional Index ◽  
Nutritional Risk ◽  
Receiver Operating Curve ◽  
Nutrition Status ◽  
Nutritional Risk Index

Abstract Objectives Pre-albumin (PAB) can be used to evaluate the association between nutrition status and in-hospital mortality. However, there is no literature to compare if PAB is the best indicator to predict in-hospital mortality among the nutrition indexes in a study. Methods We operated a retrospective study including 145 patients admitted to our institution’s elderly intensive care unit (ICU) from January, 2017 to December, 2019. Admission laboratory results were collected. Regression analysis and receiver operating curve (ROC) were analyzed to explore the performance of different nutrition indexes. Results The levels of PAB were significantly different between the survivor and non-survivor group (p=0.001). Univariate analysis showed nutrition indexes (lymphocytes, albumin, body mass index [BMI], geriatric nutritional risk index (GNRI), prognostic nutritional index [PNI] and PAB) were associated with in-hospital mortality (all p<0.1). Following adjustment for age, platelets and creatinine (CREA), only BMI and PAB remained statistically significant (BMI: HR 2.799, 95% CI 1.167–6.715, p=0.021; PAB: HR 6.329, 95% CI 2.660–15.151, p<0.001). In addition, PAB had the highest area under the curve (AUC) for predicting in-hospital mortality (AUC = 0.696) followed by BMI (AUC = 0.561) and other factors. Conclusions PAB is a better predictor of in-hospital mortality than other nutrition indexes in elderly ICU patients.

Clinical Features of Patients With Heart Failure After the 2016 Kumamoto Earthquakes

2021 ◽  
pp. 1-5
Author(s):  
Yasuhiro Nagayoshi ◽  
Tetsuo Yufu ◽  
Shinzo Miyamoto ◽  
Shinya Yumoto ◽  
Motohiro Hashiyama ◽  
...  
Keyword(s):  
Heart Failure ◽  
Mortality Rate ◽  
Cardiovascular Events ◽  
Clinical Characteristics ◽  
Risk Index ◽  
Prognostic Nutritional Index ◽  
Nutritional Risk ◽  
Acute And Chronic Stress ◽  
The 2016 Kumamoto Earthquakes ◽  
Nutritional Risk Index

Abstract Objective: Acute and chronic stress after severe earthquakes can contribute to cardiovascular events, including heart failure (HF). On April 14, 2016, magnitude 7 earthquakes occurred in the Aso region in the western part of Japan. This study aimed to investigate the clinical characteristics of HF in this area after these earthquakes. Methods: We investigated the clinical characteristics and 1-y mortality rate of patients with HF. Nutritional status was evaluated with the Geriatric Nutritional Risk Index (GNRI) and the Prognostic Nutritional Index (PNI). Results: Among a total of 58 cardiovascular events, HF was the most frequently observed (n = 28). The mean age of individuals with HF was 85.5 y. The total incidence of HF was significantly higher compared with the average of the prior 2 y. Disaster influence on mental health was suggested by patient history in 20 patients (71%). The 1-y mortality rate among patients with HF was 50%. Among those who died, 93% had malnutrition status (GNRI <92 and /or PNI ≤38). Conclusions: Our results demonstrated the poor prognosis of patients with HF following the disaster. The prevalence of malnutrition was high in those patients. Careful follow-up is necessary, especially for older people with frailty.

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