Controlling nutritional status (conut) score as a predictive marker of in-hospital mortality in elderly patients: a pooled analysis of cohort studies

2021 ◽  
Vol 46 ◽  
pp. S599-S600
Author(s):  
C. Liu ◽  
M. Zhu
Keyword(s):  
Nutritional Status ◽  
Elderly Patients ◽  
Hospital Mortality ◽  
Cohort Studies ◽  
Predictive Marker ◽  
Pooled Analysis ◽  
Conut Score

scholarly journals Nutritional status and risk of contrast-associated acute kidney injury in elderly patients undergoing percutaneous coronary intervention

2021 ◽  
Author(s):  
Xiaoqi Wei ◽  
Hanchuan Chen ◽  
Zhebin You ◽  
Jie Yang ◽  
Haoming He ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Percutaneous Coronary Intervention ◽  
Nutritional Status ◽  
Elderly Patients ◽  
Kidney Injury ◽  
Coronary Intervention ◽  
Severe Malnutrition ◽  
Percutaneous Coronary ◽  
Conut Score

Abstract Background This study aimed to investigate the connection between malnutrition evaluated by the Controlling Nutritional Status (CONUT) score and the risk of contrast-associated acute kidney injury (CA-AKI) in elderly patients who underwent percutaneous coronary intervention (PCI). Methods A total of 1308 patients aged over 75 years undergoing PCI was included. Based on the CONUT score, patients were assigned to normal (0–1), mild malnutrition (2–4), moderate-severe malnutrition group (≥ 5). The primary outcome was CA-AKI (an absolute increase in ≥ 0.3 mg/dL or ≥ 50% relative serum creatinine increase 48 h after contrast medium exposure). Results Overall, the incidence of CA-AKI in normal, mild, moderate-severe malnutrition group was 10.8%, 11.0%, and 27.2%, respectively (p < 0.01). Compared with moderate-severe malnutrition group, the normal group and the mild malnutrition group showed significant lower risk of CA-AKI in models adjusting for risk factors for CA-AKI and variables in univariate analysis (odds ratio [OR] = 0.48, 95% confidence interval [CI]: 0.26–0.89, p = 0.02; OR = 0.46, 95%CI: 0.26–0.82, p = 0.009, respectively). Furthermore, the relationship were consistent across the subgroups classified by risk factors for CA-AKI except anemia. The risk of CA-AKI related with CONUT score was stronger in patients with anemia. (overall interaction p by CONUT score = 0.012). Conclusion Moderate-severe malnutrition is associated with higher risk of CA-AKI in elderly patients undergoing PCI.

scholarly journals Association with Controlling Nutritional Status (CONUT) Score and In-hospital Mortality and Infection in Acute Heart Failure

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Takao Kato ◽  
Hidenori Yaku ◽  
Takeshi Morimoto ◽  
Yasutaka Inuzuka ◽  
Yodo Tamaki ◽  
...  
Keyword(s):  
Heart Failure ◽  
Nutritional Status ◽  
Hospital Mortality ◽  
Acute Heart Failure ◽  
Conut Score

scholarly journals Controlling Nutritional Status Score as a Predictive Marker of In-hospital Mortality in Older Adult Patients

2021 ◽  
Vol 8 ◽  
Author(s):  
Chengyu Liu ◽  
Mingwei Zhu ◽  
Xin Yang ◽  
Hongyuan Cui ◽  
Zijian Li ◽  
...  
Keyword(s):  
Older Adults ◽  
Nutritional Status ◽  
Hospital Mortality ◽  
Older Adult ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Hospital Costs ◽  
Short Term ◽  
Operating Characteristic Curve ◽  
Conut Score

The controlling nutritional status (CONUT) score assesses nutritional status and is associated with short- and long-term prognoses in some diseases, but the significance of the CONUT score for the prediction of in-hospital mortality in older adults is unknown. The purpose was to determine the importance of the CONUT score for the prediction of in-hospital mortality, short-term complications, length of hospital stay, and hospital costs in older adults. Our retrospective cohort study analyzed data from 11,795 older adult patients from two multicenter cohort studies. We performed receiver operating characteristic curve analysis using in-hospital mortality as the endpoint and determined the appropriate CONUT score cut-off by the Youden index. The patients were divided into two high and low groups according to the CONUT cut-off value, and the differences in clinical characteristics and in-hospital clinical outcomes between the two groups were compared. We compared the accuracy of the CONUT score and other nutrition-related tools in predicting in-hospital mortality by calculating the area under the receiver operating characteristic curve and performed univariate and multivariate analyses of predictors of in-hospital mortality. Among all the patients, 178 (1.5%) patients experienced in-hospital death. The optimal cut-off values was 5.5 for the CONUT score. The high CONUT group had a higher incidence of short-term complications and prolonged hospital stay than the low CONUT group (CONUT score &lt;6), but hospital costs were not significantly higher. The CONUT score had the highest predictive ability for in-hospital mortality among the five nutrition-related parameters compared. Multivariate analysis showed that a high CONUT score (CONUT score ≥ 6) was an independent predictor of in-hospital mortality. In conclusion, the present study demonstrated that the CONUT score could be used to predict in-hospital mortality in older adults.

P5532Predictive value of objective nutritional scores for contrast-induced acute kidney injury in elderly patients undergoing percutaneous coronary intervention

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Lin ◽  
L Chen ◽  
L Chen ◽  
C Han ◽  
C Han ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Percutaneous Coronary Intervention ◽  
Nutritional Status ◽  
Elderly Patients ◽  
Serum Creatinine ◽  
Kidney Injury ◽  
Coronary Intervention ◽  
Left Ventricular Ejection ◽  
Percutaneous Coronary ◽  
Conut Score

Abstract Background Age >75 years had been generally considered to be an important and independent risk factor of contrast-induced acute kidney injury (CI-AKI), while these patients often suffer from malnutrition. However, the predictive value of objective nutritional status for CI-AKI in elderly patients undergoing percutaneous coronary intervention (PCI) remains unknown. Purpose To evaluate the association of two kinds of objective nutritional indices includes controlling nutritional (CONUT) score and prognostic nutritional index (PNI) with CI-AKI in elderly patients undergoing PCI. Methods In a single center prospective cohort study,we enrolled 714 consecutive patients who aged >75 years undergoing PCI between January 2012 and December 2015 were screened based on their serum albumin, lymphocyte count, and total cholesterol measures. Patients were stratified into different groups according to two kinds of objective nutritional scores. Patients were divided into low-PNI (PNI <35), middle-PNI (35 ≤ PNI <38), and high-PNI (PNI ≥38). They were also divided into four groups according to CONUT score: normal-CONUT (0–1), mild-CONUT (2–4), moderate-CONUT (5–8), and severe-CONUT (≥9). CI-AKI was defined as an increase in the serum creatinine levels of ≥50% or 0.3 mg/dL above the baseline level within 48hrs after contrast medium exposure. Results Overall, 55 (7.7%) had moderate-severe CONUT scores, and 35 (4.9%) had low-middle PNI scores,while 93 (13.0%) patients developed CI-AKI. Patients with a lower PNI score or higher CONUT score had significantly higer incidence of CI-AKI [PNI score: high (11.8%), middle (33.3%), and low (45.5%), respectively; P<0.0001; CONUT score: normal (9.6%), mild (12.7%), moderate (30.2%), and severe (100%), respectively; P<0.0001]. After adjusting 6 confounders, including age, serum creatinine (SCR) >1.5mg/dl, left ventricular ejection fraction (LEVF) <45%, myocardial infarction, peri-hypotension and the contrast volume >200 ml, multivariate analysis showed that worse objective nutritional status (either lower PNI scores or higer CONUT scores) was associated with an increased CI-AKI risk (Low PNI vs High PNI: OR: 5.274, P=0.015; Moderate-Severe CONUT vs Normal CONUT: OR: 2.891, P=0.007). Incidence of CIAKI Conclusions Worse objective nutritional status was associated with CI-AKI in elderly patients after PCI.

Abstract 15469: Malnutrition and Cognitive Dysfunction in the Elderly Patients With Acute Heart Failure

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Michiaki NAGAI ◽  
Keigo Dote ◽  
Masaya Kato ◽  
Noboru Oda ◽  
Eiji Kunita ◽  
...  
Keyword(s):  
Heart Failure ◽  
Nutritional Status ◽  
Elderly Patients ◽  
Cognitive Dysfunction ◽  
Mmse Score ◽  
The Elderly ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Stable Phase ◽  
Conut Score

Introduction: Malnutrition, cognitive decline and heart failure (HF) frequently coexist in the elderly. A recent systematic review revealed that malnutrition was a possible contributing factor of cognitive impairment. Although several studies reported the association of malnutrition with poor HF prognosis, the underlying pathophysiology has been unclear. Hypothesis: We assessed the hypothesis that malnutritional status might be associated with cognitive dysfunction in the elderly with HF. In addition, we investigated whether left ventricular ejection fraction (LVEF) moderates that relationship or not. Methods: Nutritional status and cognitive function were evaluated using the geriatric nutritional risk index (GNRI), controlling nutritional status (CONUT) score and mini-mental state examination (MMSE) in 245 elderly inpatients in stable phase of HF (82.9±6.0 years old, male 49.4%). Echocardiography was performed at admission. HF with preserved EF (HFpEF) was defined according to LVEF more than 50% (n=129). Results: According to the quartile of MMSE score (< 19, ≥19 to 27≤, >27), significant associations of MMSE score were observed with GNRI (89.1 vs 95.4 vs 95.5, p=0.004) and CONUT score (3.50 vs 2.71 vs 2.61, p=0.039) among three groups. In the logistic regression analysis adjusted for the confounders including age, gender, LVEF, brain natriuretic peptide level, systolic blood pressure at admission, diuretics and antihypertensive medication use, GNRI (β=0.96, 95%CI:0.93 to 0.99, p=0.008) and CONUT score (β=1.18, 95%CI:1.01 to 1.37, p=0.03) each was significantly associated with cognitive dysfunction (defined as MMSE score <19). According to the HF phenotype, GNRI (β=0.93, 95%CI:0.88 to 0.98, p=0.01) and CONUT (β=1.55, 95%CI:1.19 to 2.02, p=0.001) each had a significant relationship with cognitive dysfunction only in the group without HFpEF. Conclusions: In conclusion , lower GNRI and higher CONUT score were shown to be significant indicators of cognitive dysfunction in the elderly HF patients. These results highlight the importance of stratifying by nutritional status for a clinical intervention of cognitive dysfunction in the elderly patients without HFpEF.

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 Controlling Nutritional Status (CONUT) score as a predictive marker for short-term complications following gastrectomy of gastric cancer: a retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Feng Sun ◽  
Chen Zhang ◽  
Zhijian Liu ◽  
Shichao Ai ◽  
Wenxian Guan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Postoperative Complications ◽  
Nutritional Status ◽  
Multivariate Analyses ◽  
Independent Predictor ◽  
Predictive Marker ◽  
Hospital Charges ◽  
Youden Index ◽  
Short Term ◽  
Conut Score

Abstract Background It is well established that the controlling nutritional status (CONUT) score was correlated with long-term outcomes in gastric cancer (GC), but the significance of CONUT for postoperative short-term outcomes remains unclear. The study aimed to characterize the relationship between CONUT and short-term complications following gastrectomy of GC. Methods We collected data on 1479 consecutive GC patients at Nanjing Drum Tower Hospital between January 2016 and December 2018. Univariate and multivariate analyses of predictive factors for postoperative complications were performed. The cutoff value of the CONUT score was determined by Youden index. Results Among all of the patients, 431 (29.3%) patients encountered postoperative complications. Multivariate analyses identified CONUT was an independent predictor for postoperative short-term complications (OR 1.156; 95% CI 1.077–1.240; P < 0.001). Subgroup analysis elucidated that CONUT was related to postoperative complications both in early gastric cancer and advanced gastric cancer. We further explored that patients with high CONUT score had prolonged hospital stay (12.3 ± 6.0 vs 11.1 ± 4.6, P < 0.001) and more total hospital charges (7.6 ± 2.4 vs 7.1 ± 1.6, P < 0.001). Conclusions The present study demonstrated that the preoperative CONUT was an independent predictor for short-term complications following gastrectomy of GC.

Preoperative Controlling Nutritional Status Score Predicts Mortality after Hepatectomy for Hepatocellular Carcinoma

2018 ◽  
Vol 36 (3) ◽  
pp. 226-232 ◽  
Author(s):  
Kosei Takagi ◽  
Yuzo Umeda ◽  
Ryuichi Yoshida ◽  
Daisuke Nobuoka ◽  
Takashi Kuise ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Nutritional Status ◽  
Hospital Mortality ◽  
Liver Failure ◽  
Prognostic Nutritional Index ◽  
Preoperative Assessment ◽  
Postoperative Outcomes ◽  
Perioperative Outcomes ◽  
Nutritional Index ◽  
Conut Score

Background: Preoperative nutritional status is reportedly associated with postoperative outcomes in patients with hepatocellular carcinoma. This study aimed to investigate the significance of the controlling nutritional status (CONUT) score and the prognostic nutritional index (PNI) as predictors of postoperative outcomes. Methods: We retrospectively reviewed data from 331 patients who underwent hepatectomy for hepatocellular carcinoma between January 2007 and December 2015. Patients were divided into 2 groups based on their CONUT score and the PNI. We evaluated the effect of the CONUT score and PNI on perioperative outcomes. Multivariate analysis was performed to identify independent predictors of in-hospital mortality after hepatectomy. ­Results: The high CONUT group had a significantly higher ­incidence of 30-day mortality (p < 0.001), in-hospital mortality (p = 0.002), ascites (p = 0.006), liver failure (p = 0.02), sepsis (p = 0.01), and enteritis (p < 0.001). The low PNI group was also significantly associated with 30-day mortality (p < 0.001), in-hospital mortality (p = 0.003), liver failure (p < 0.001), sepsis (p = 0.02), enteritis (p = 0.02), and hospital stay (p = 0.01). In multivariate analyses, a high CONUT score was an independent predictor of in-hospital mortality after hepatectomy (hazard ratio [HR] 9.41, p = 0.038), but the PNI was not (HR 5.86, p = 0.08). Conclusions: Preoperative assessment of the CONUT score is helpful for evaluating patients’ nutritional status and mortality risk after liver surgery.

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