Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study

Impact of Malnutrition on the Outcomes in Patients Admitted with Heart Failure

Background: Heart failure, a major public health concern, significantly contributes to hospital admissions. This study evaluates the impact of malnutrition on both patient and hospital outcomes in heart failure admissions, with a specific focus on variations in outcomes based on the severity of malnutrition. Methods: Utilizing the National Inpatient Sample (NIS) database, this retrospective cohort study included adult patients admitted with a principal diagnosis of heart failure. Malnutrition was identified using the well-validated ICD 10 codes. We compared outcomes between patients with and without malnutrition, focusing on mortality, length of stay (LOS), hospital charges, cardiac arrest, and cardiogenic shock. Results: Out of 1,110,085 heart failure patients, 36,522 (3.29%) were malnourished. Malnourished patients exhibited significantly higher adjusted in-hospital mortality rates (aOR 3.32; 95% CI 3.03-3.64), longer LOS (mean increase of 4.67 days; p < 0.001), and higher hospital charges (mean increase of USD 77,416.9; p < 0.01). Increased rates of cardiac arrest (aOR 2.39; 95% CI 1.99-2.86; p < 0.001) and cardiogenic shock (aOR 3.74; 95% CI 3.40-4.12; p < 0.001) were also noted in malnourished patients. Severely malnourished patients faced worse outcomes compared to those with mild to moderate malnutrition. Conclusions: Heart failure patients with malnutrition experience higher mortality rates, longer hospital stays, increased hospitalization charges, and greater complication rates, including cardiac arrest and cardiogenic shock, compared to non-malnourished patients. Outcomes deteriorate with the increasing severity of malnutrition. Timely and individualized nutritional interventions may significantly improve outcomes for heart failure admissions.

Predictive value of the controlling nutritional status (CONUT) score to assess long-term mortality (10 Years) in patients with hypertension

BACKGROUND AND AIMS

Malnutrition is associated with poor outcomes in patients with chronic diseases. The aim of this study is to investigate the prevalence of malnutrition in patients with hypertension and relationship between malnutrition severity and long-term mortality in these patients.

METHODS AND RESULTS

The study included 11,278 patients with hypertension from the National Health and Nutrition Examination Survey database. The degree of malnutrition was assessed using the Controlled Nutritional Status score, with patients divided into normal, mild, and moderate-to-severe groups. After 10 years of follow-up, the results showed that patients who died had higher CONUT scores, poorer nutritional status, and lower albumin, total cholesterol, and lymphocytes than those who survived (P < 0.05). The Kaplan-Meier analysis revealed that patients with poor nutritional status had a significantly higher risk of all-cause death. In the Non-Lipid Lowering Drugs group, the CONUT score (hazard ratio (HR): 1.225; 95% confidence interval (CI): 1.162-1.292; P < 0.0001), as well as mild (HR: 1.532; 95% CI 1.340-1.751; P < 0.0001) and moderate-to-severe malnutrition (HR: 2.797; 95% CI: 1.441-5.428; P = 0.0024), were independent predictors of long-term mortality. The competing risk regression models showed that cardiovascular and cerebrovascular mortality increased with increasing CONUT scores. The results were robust in both subgroup and sensitivity analyses.

CONCLUSIONS

Malnutrition significantly impacts long-term mortality in hypertensive patients. The CONUT score may be a useful tool for assessing the nutritional status of patients with hypertension in the non-lipid-lowering population and for predicting their long-term mortality.

Controlling the nutritional status score: a new tool for predicting postoperative mortality in patients with infrarenal abdominal aortic aneurysm treated with endovascular aneurysm repair

Background

AAA is a fatal condition that commonly occurs during vascular surgery. Nutritional status exerts a significant influence on the prognosis of various pathological conditions Scores from the CONUT screening tool have been shown to predict outcomes of certain malignancies and chronic diseases. However, the ramifications of nutritional status on AAA patients undergoing EVAR have not been elucidated in prior studies. In this study, we aimed to elucidate the correlation between CONUT scores and postoperative prognostic outcomes in patients with AAA undergoing EVAR.

Methods

This was a retrospective review of 177 AAA patients treated with EVAR from June 2018 to November 2019 in a single center. Patient characteristics, CONUT scores, and postoperative status were collected. These patients were stratified into groups A and B according to CONUT scores. Subsequently, a comparative analysis of the baseline characteristics between the two cohorts was conducted. Cox proportional hazards and logistic regression analyses were employed to identify the autonomous predictors of mid-term mortality and complications, respectively.

Results

Compared with group A, patients in group B had higher midterm mortality (p < 0.001). Univariate analysis showed that CONUT scores; respiratory diseases; stent types; preoperative Hb, CRP, PT, and Fb levels were risk factors for death. Multivariate analysis confirmed that CONUT score [HR, 1.276; 95% CI, 1.029-1.584; p = 0.027] was an independent risk factor for mortality. Logistic regression analysis showed that prior arterial disease, smoking, and D-dimer levels were risk factors, although multivariate analysis showed smoking (OR, 3.492; 95% CI, 1.426-8.553; p = 0.006) was an independent risk factor. Kaplan-Meier curves showed that patients in group B had shorter mid-term survival than those in group A (log-rank p < 0.001).

Conclusion

Malnutrition was strongly associated with mid-term mortality in patients with infrarenal AAA treated with EVAR.

Association between Controlling Nutritional Status (CONUT) Score and Body Composition, Inflammation and Frailty in Hospitalized Elderly Patients

The Controlling Nutritional Status (CONUT) score has demonstrated its ability to identify patients with poor nutritional status and predict various clinical outcomes. Our objective was to assess the association between the CONUT score, inflammatory status, and body composition, as well as its ability to identify patients at risk of frailty in hospitalized elderly patients.

METHODS

a total of 361 patients were retrospectively recruited and divided into three groups based on the CONUT score.

RESULTS

patients with a score ≥5 exhibited significantly higher levels of inflammatory markers, such as erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), Neutrophil/Lymphocytes ratio (NLR), main platelet volume (MPV), and ferritin, compared to those with a lower score. Furthermore, these patients showed unfavorable changes in body composition, including a lower percentage of skeletal muscle mass (MM) and fat-free mass (FFM) and a higher percentage of fatty mass (FM). A positive correlation was found between the CONUT score and inflammatory markers, Geriatric Depression Scale Short Form (GDS-SF), and FM. Conversely, the Mini Nutritional Assessment (MNA), Mini-Mental Status Examination, activity daily living (ADL), instrumental activity daily living (IADL), Barthel index, FFM, and MM showed a negative correlation. Frailty was highly prevalent among patients with a higher CONUT score. The receiver operating characteristic (ROC) curve demonstrated high accuracy in identifying frail patients (sensitivity).

CONCLUSIONS

a high CONUT score is associated with a pro-inflammatory status as well as with unfavorable body composition. Additionally, it is a good tool to identify frailty among hospitalized elderly patients.

National Trends in Mortality and Urgent Dialysis after Acute Hypertension in Japan From 2010 Through 2019

BACKGROUND

Despite increasing incidences of hypertension, recent trends in mortality and urgent dialysis following acute hypertension (AHT) remain undetermined.

METHODS

This retrospective observational cohort study evaluated 50 316 hospitalized AHT patients from 2010 to 2019, using an administrative claims database in Japan. We examined trends in incidence, urgent dialysis, mortality, and its risk factors using Poisson regression models. Using International Classification of Disease and Related Health Problems, 10th Revision codes, AHT was categorized into 5 spectrums: malignant hypertension (n=1792), hypertensive emergency (n=17 907), hypertensive urgency (n=1562), hypertensive encephalopathy (n=6593), and hypertensive heart failure (HHF; n=22 462).

RESULTS

The median age of the patients was 76 years, and 54.9% were women. The total AHT incidence was 70 cases per 100 000 admission year. The absolute death rate increased from 1.83% (95% CI, 1.40-2.40) to 2.88% ([95% CI, 2.42-3.41]; Cochran-Armitage trend test, P<0.0001). Upward trends were observed in patients aged ≥80, with lean body mass index ≤18.4, and with HHF. Urgent dialysis rates increased from 1.52% (95% CI, 1.12-2.06) to 2.60% (2.17-3.1; Cochran-Armitage trend test; P=0.0071) in 48 235 patients, excluding maintenance dialysis patients. Older age, men, lean body mass, malignant hypertension, HHF, and underlying chronic kidney disease correlated with higher mortality risk; greater hospital volume correlated with lower mortality risk; and malignant hypertension, HHF, diabetes, chronic kidney disease, and scleroderma correlated with a higher risk of urgent dialysis.

CONCLUSIONS

Mortality and urgent dialysis rates following AHT have increased. Aging, complex comorbidities, and HHF-type AHT contributed to the rising trend of mortality.

Role of Malnutrition in Atrial Fibrillation: A Prospective Study including Individuals ≥ 75 Years of Age

BACKGROUND

Atrial fibrillation (AF) is the most common rhythm disorder in the elderly. The AF can cause life-threatening thromboembolic complications. Therefore, there is a need to determine the risk factors of AF. In this study, we aimed to examine the association of markers of malnutrition with AF in individuals aged 75 years and older and to find the factors that may affect mortality.

METHODS

In this prospective study, 358 consecutive individuals aged 75 years and older presenting to the cardiology outpatient clinic were included. All participants were divided into AF and sinus rhythm (SR) groups. In addition, a questionnaire and scoring system were used to assess malnutrition status. Information was obtained from all patients through outpatient clinic visits or telephone interviews for one year. Death from any cause was considered as the endpoint.

RESULTS

AF was observed in 71 (19.8%) patients. Death was higher in patients with AF (p < 0.001), high CONUT score (p = 0.018), and GLIM malnutrition (p = 0.018). GLIM malnutrition caused a 2.8-fold increase in the development of AF.

CONCLUSIONS

Screening for malnutrition in the elderly is essential. According to GLIM criteria, malnutrition may play a role in the development of AF and increase one-year mortality in the elderly.

The utility of CONUT score in indolent lymphoma patients

Background and Aim

Similar to the uncertainties in the treatment criteria for indolent non-Hodgkin lymphoma (iNHL), the prognostic criteria have not been fully clarified. The Controlled Nutritional Status (CONUT) score is not only used as a predictor of malnutrition but also indicates prognosis in many chronic or malignant diseases. The aim of this study is to investigate the predictive and prognostic significance of the CONUT score in patients with iNHL.

Patients and Methods

A retrospective evaluation was made of 109 patients with iNHL. The CONUT scores of the patients were compared between those with an indication for treatment and those followed without treatment. The same analysis was performed between patients who developed relapse after treatment. Survival analysis was performed on all patients, and associations between survival and the CONUT score were examined.

Results

The median CONUT score was found to be higher in those who had treatment indications compared to those who did not (2 vs 1; P = 0.014). In the regression model, a CONUT absolute value above 5 was found as an independent risk factor predicting relapse. In the whole study population, a CONUT absolute value >2 predicted the risk of mortality with 53.9% sensitivity and 68.7% specificity (AUC ± SE = 0.639 ± 0.07; +PV = 35%; -PV = 82.6%; P = 0.034).

Conclusion

CONUT score is a predictive and prognostic factor for patients with iNHL. The development of simple, low-budget prognostic and predictive biomarkers is critical not only for determining the course of the disease but also for follow-up and treatment management.

Controlling Nutritional Status (CONUT) Score as a Predictive Marker in Hospitalized Frail Elderly Patients

The Controlling Nutritional Status (CONUT) score is a simple screening tool able to detect altered nutritional status as well as to predict clinical adverse outcomes in specific populations. No data are available in frail patients. This study aims to investigate the predictive role of the CONUT score on mortality and length of stay (LOS) in frail patients admitted to an Internal Medicine Department. We consecutively enrolled 246 patients aged 65 years or older, divided into two groups based on frailty status. The two groups were further divided according to low (<5) or high (≥5) CONUT score. Length of stay (LOS) was higher in frail patients than not-frail patients, as well as in the frail group with high CONUT scores compared to the frail group with low CONUT scores. Multiple linear regression showed an increase of 2.1 days for each additional point to the CONUT score. In-hospital mortality was higher in frail compared to not-frail patients, but it did not differ between frail patients with high CONUT scores and frail patients with low CONUT scores. An analysis of the survival curve for 30-day mortality showed a higher mortality rate for frail/high-CONUT-score patients as compared to the not-frail/low-CONUT-score group. The CONUT score shows high prognostic value for higher LOS-but not mortality-in the clinical setting of internal medicine departments for old frail patients.

Geriatric nutrition risk index in the prediction of all-cause and cardiovascular mortality in elderly hypertensive population: NHANES 1999-2016

Background

Hypertension is a major risk factor for the global burden of disease, and nutrition is associated with an increased risk of mortality from multiple diseases. Few studies have explored the association of nutritional risk with all-cause mortality and cardiovascular mortality in hypertension, and our study aims to fill this knowledge gap.

Method

We included data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2016 on a total of 10,037 elderly patients with hypertension. The nutritional status was evaluated using the Geriatric Nutrition Risk Index (GNRI). Kaplan-Meier survival analysis was performed to analyze the survival rates of different nutritional risk groups. COX proportional risk regression models were used to analyze the predictive effect of GNRI on all-cause mortality and cardiovascular mortality in hypertensive patients. Restricted cubic splines (RCS) were used to explore the nonlinear relationship between GNRI and mortality.

Result

The mean age of the hypertensive patients was 70.7 years. A total of 4255 (42.3%) all-cause mortality and 1207 (17.2%) cardiovascular mortality occurred during a median follow-up period of 106 months. Kaplan-Meier showed a more significant reduction in survival for the moderate to severe malnutrition risk of GNRI. The adjusted COX proportional hazards model showed that the hazard ratios for all-cause mortality and cardiovascular mortality in the moderate to severe malnutrition risk group for GNRI were 2.112 (95% CI, 1.377,3.240) and 2.604 (95% CI, 1.603,4.229), respectively. The RCS showed that increased GNRI was associated with a reduced risk of all-cause mortality and cardiovascular mortality risk reduction.

Conclusion

Malnutrition exposure assessed by GNRI effectively predicts the risk of all-cause mortality and cardiovascular mortality in the elderly with hypertension.

Combined nutritional and frailty screening improves assessment of short-term prognosis in older adults following percutaneous coronary intervention

BACKGROUND

Frailty and malnutrition are well-known factors influencing outcomes of myocardial infarction (MI) in older adults. Due to considerable overlap between both entities, whether the simultaneous assessment of frailty and nutrition adds nonredundant value to risk assessment is unknown.

METHODS

We performed a prospective cohort study on 402 patients aged at least 65 years diagnosed with ST-elevation MI that underwent percutaneous coronary intervention. Nutritional status was assessed by Controlling Nutritional Status score (CONUT), Prognostic Nutritional Index, and Geriatric Nutritional Response Index. Frailty was assessed by Clinical Frailty Scale (CFS), Derby frailty index, and acute frailty network. Primary outcome was major adverse cardiac events (MACE), comprising all-cause mortality, non-fatal MI, and unplanned repeat revascularization during 28-day follow-up. Increment in Global Registry of Acute Coronary Events (GRACE) score performance following the addition of nutrition and frailty was assessed.

RESULTS

The incidence of MACE was 8.02 (6.38-9.95) per 1000 person-days. The CONUT score and CFS were the best predictors of MACE and independent predictors in the multivariate Cox-regression models [hazard ratios, 2.80 (1.54-5.09) and 2.54 (1.50-4.29)]. CONUT score classified 151 (37.6%) patients as malnourished, and CFS classified 131 (32.6%) as frail. The addition of both CONUT and CFS to the GRACE score led to better model discrimination and calibration through improved c-statistic (+0.165) ( P < 0.0001) and Akaike and Bayesian information criteria.

CONCLUSION

Combining CONUT and CFS provides nonredundant prognostic value despite their overlapping nature. Combined nutritional and frailty screening may improve risk prognostication in older adults following MI.

Prognostic Value of Cheyne-Stokes Respiration and Nutritional Status in Acute Decompensated Heart Failure

Malnutrition frequently coexists with heart failure (HF), leading to series of negative consequences. Cheyne-Stokes respiration (CSR) is predominantly detected in patients with HF. However, the effect of CSR and malnutrition on the long-term prognosis of patients with acute decompensated HF (ADHF) remains unclear. We enrolled 162 patients with ADHF (median age, 62 years; 78.4% men). The presence of CSR was assessed using polysomnography and the controlling nutritional status score was assessed to evaluate the nutritional status. Patients were divided into four groups based on CSR and malnutrition. The primary outcome was all-cause mortality. In total, 44% of patients had CSR and 67% of patients had malnutrition. The all-cause mortality rate was 26 (16%) during the 35.9 months median follow-up period. CSR with malnutrition was associated with lower survival rates (log-rank p < 0.001). Age, hemoglobin, albumin, lymphocyte count, total cholesterol, triglyceride, low-density lipoprotein cholesterol, creatinine, estimated glomerular filtration rate, B-type natriuretic peptide, administration of loop diuretics, apnea-hypopnea index and central apnea-hypopnea index were significantly different among all groups (p < 0.05). CSR with malnutrition was independently associated with all-cause mortality. In conclusion, CSR with malnutrition is associated with a high risk of all-cause mortality in patients with ADHF.

Impact of the Controlling Nutritional Status (CONUT) score as a prognostic factor for all-cause mortality in older patients without cancer receiving home medical care: hospital ward-based observational cohort study

OBJECTIVES

Malnutrition in cancer-free older patients receiving home medical care may affect prognosis, but indicators of long-term nutrition-related prognosis have not been developed. This study investigated the utility of the Controlling Nutritional Status (CONUT) score as a prognostic factor for older patients without cancer receiving home medical care.

DESIGN

This was a single-centre, hospital ward-based observational cohort study.

SETTING AND PARTICIPANTS

In total, 625 cancer-free older patients (median age, 81.0 years; 47.4% males) receiving continuous home medical care through clinics were enrolled on admission to a hospital ward from March 2011 to September 2018.

PRIMARY OUTCOME MEASURES

Continuous cumulative survival curves were obtained using the Kaplan-Meier method after dividing the CONUT score into four groups. The prognostic factors for overall mortality were evaluated using the Cox proportional hazards model. Comparisons with other predictive tools were performed.

RESULTS

The Kaplan-Meier curves of CONUT scores revealed a stepwise shortening of the median survival time with increasing scores. The HR of CONUT scores adjusted by age, sex and other confounding variables was 1.422 (95% CI 1.232 to 1.643, p<0.001). The areas under the receiver operating characteristic curve of the CONUT score for 1-year and 5-year survival were 0.684 and 0.707, respectively. The CONUT score displayed greater predictive utility than other nutrition-related predictive tools.

CONCLUSIONS

The CONUT score on hospital admission could be used to predict overall mortality in older patients without cancer receiving home medical care. It is expected to be a simpler and cheaper screening tool for assessing the nutritional status in the field of home medical care.

Risk of non-colorectal cancer-related death in elderly patients with the disease: A comparison of five preoperative risk assessment indices

BACKGROUND

A considerable number of elderly patients with colorectal cancer (CRC) die of non-CRC-related causes. The Controlling Nutritional Status (CONUT) score, American Society of Anesthesiologists Physical Status classification, Charlson Comorbidity Index, National Institute on Aging, and National Cancer Institute Comorbidity Index, and Adult Comorbidity Evaluation-27 score are all known predictors of survival in patients with CRC. However, the utility of these indices for predicting non-CRC-related death in elderly CRC patients is not known.

METHODS

The study population comprised 364 patients aged 80 years or more who received curative resection for stage I-III CRC between 2000 and 2016. The association of each index with non-CRC-related death was compared by competing-risks analysis such as the cumulative incidence function and proportional subdistribution hazards regression analysis as well as time-dependent receiver-operating characteristic (ROC) analysis.

RESULTS

There were 85 deaths (40 CRC-related and 45 non-CRC-related) during a median observation period of 53.2 months. Cumulative incidence function analysis identified CONUT score as the most suitable for risk stratification for non-CRC-related death. In proportional subdistribution hazards regression, risk of non-CRC-related death increased significantly as CONUT score worsened (2/3/4 vs. 0/1, hazard ratio 1.73, 95% confidence interval [CI] 0.91-3.15; ≥5 vs. 2/3/4, hazard ratio 2.71, 95% CI 1.08-6.81). Time-dependent ROC curve analysis showed that CONUT score were consistently superior to other indices during the 5-year observation period.

CONCLUSIONS

The majority of deaths in elderly patients with CRC were not CRC-related. CONUT score was the most useful predictor of non-CRC-related death in these patients.

The controlling nutritional status score predicts postoperative mortality in patients with ruptured abdominal aortic aneurysm: a retrospective study

Background

Ruptured abdominal aortic aneurysms (rAAAs) are challenging for vascular surgeons because they have a high mortality rate. In many diseases, nutritional status is closely associated with prognosis. The Controlling Nutritional Status (CONUT) screening tool score is a prognostic factor in some malignant and chronic diseases; however, the impact of nutritional status on rAAA has not yet been reported. In this study, we explored the relationship between the CONUT score and the postoperative prognosis of patients with rAAA.

Methods

This was a retrospective review of 39 patients with rAAA who underwent surgical treatment from March 2018 to September 2021 at one center. Patient characteristics, nutritional status (CONUT score), and postoperative status were recorded. The patients were divided into groups A and B based on the CONUT score. The baseline characteristics of the two groups were compared, and Cox proportional hazards and logistic regression analyses were used to determine independent predictors of mid-term mortality and complications, respectively.

Results

The overall mid-term mortality rate was 28.21% (11/39). Compared with group A, group B had higher intraoperative (P = 0.047) and mid-term mortality (P = 0.033) rates. The univariate analysis showed that age [hazard ratio (HR), 1.098; 95% confidence interval (CI), 1.019-1.182; P = 0.014], CONUT score (HR, 1.316; 95% CI, 1.027-1.686; P = 0.03), and surgical procedure (HR, 0.127; 95% CI, 0.016-0.992; P = 0.049) were associated with mid-term mortality, whereas the multivariate analysis showed that the CONUT score (HR, 1.313; 95% CI, 1.009-1.710; P = 0.043) was an independent predictor of mid-term mortality. The multivariate logistic regression analysis did not reveal any associations with complications. The Kaplan-Meier curves showed that group B had a lower mid-term survival rate (log-rank P = 0.024).

Conclusion

Malnutrition is closely associated with the prognosis of patients with rAAA, and the CONUT score can be used to predict mid-term mortality.

Controlling Nutritional Status (CONUT) Score and Prognostic Nutritional Index (PNI) Are Good Candidates for Prognostic Markers for Acute Pancreatitis

Background and Objectives: It has been demonstrated that parameters such as the Controlled Nutrition Status (CONUT) score and Prognostic Nutrition Index (PNI) are beneficial for the assessment of patients’ nutrition. In this study, our objective was to investigate the potential benefits of CONUT and, as a prognostic marker of acute pancreatitis, the PNI. Materials and Methods: The data of 361 patients were analysed retrospectively. The PNI and CONUT scores of these patients were retrospectively calculated. They were categorised as CONUT-high (≥3) and CONUT-low (≤2). A PNI ≥ 45 was considered high and a PNI < 45 low. The AP severity and organ failure due to disease were evaluated based on Atlanta 2012. Results: According to the CONUT score, it was found that 209 patients had normal to mild, whereas 152 patients had severe malnutrition. A total of 293 patients had mild AP and 68 thereof had severe AP. The patients with a high CONUT score used more antibiotics, were hospitalised more in intensive care units and experienced organ failure more frequently. There were no intensive care hospitalisations, mortalities, surgical needs and local complications among the patients with a higher PNI score. Conclusions: CONUT and the PNI have proven to be useful prognostic markers not only for predicting nutritional status but also for estimating the severity and results of AP.

Clinlabomics: leveraging clinical laboratory data by data mining strategies

The recent global focus on big data in medicine has been associated with the rise of artificial intelligence (AI) in diagnosis and decision-making following recent advances in computer technology. Up to now, AI has been applied to various aspects of medicine, including disease diagnosis, surveillance, treatment, predicting future risk, targeted interventions and understanding of the disease. There have been plenty of successful examples in medicine of using big data, such as radiology and pathology, ophthalmology cardiology and surgery. Combining medicine and AI has become a powerful tool to change health care, and even to change the nature of disease screening in clinical diagnosis. As all we know, clinical laboratories produce large amounts of testing data every day and the clinical laboratory data combined with AI may establish a new diagnosis and treatment has attracted wide attention. At present, a new concept of radiomics has been created for imaging data combined with AI, but a new definition of clinical laboratory data combined with AI has lacked so that many studies in this field cannot be accurately classified. Therefore, we propose a new concept of clinical laboratory omics (Clinlabomics) by combining clinical laboratory medicine and AI. Clinlabomics can use high-throughput methods to extract large amounts of feature data from blood, body fluids, secretions, excreta, and cast clinical laboratory test data. Then using the data statistics, machine learning, and other methods to read more undiscovered information. In this review, we have summarized the application of clinical laboratory data combined with AI in medical fields. Undeniable, the application of Clinlabomics is a method that can assist many fields of medicine but still requires further validation in a multi-center environment and laboratory.

Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis

Background

As defined by the Controlling Nutrition Status (CONUT) score, the prognostic significance of nutritional status has attracted attention in patients with cardiovascular disease. This meta-analysis aimed to determine the importance of CONUT score for prediction of all-cause mortality and major adverse cardiovascular events (MACE) in adult patients with coronary artery disease (CAD).

Methods

Observational studies conducted to evaluate the association of CONUT score with adverse clinical outcomes in patients with CAD were included. We searched MEDLINE, Embase, Scopus, Cochrane library, Google scholar, medRxiv pre-print as well as Science Direct search engine for studies published from the inception of each database until March 21, 2022. Studies reporting the utility of CONUT score in prediction of all-cause mortality and MACE among patients with CAD were eligible. Predictive potential of the CONUT score were summarized by pooling the multivariable adjusted hazard ratio (aHR) with 95% CI for the malnourished vs. normal nutritional status or per point CONUT score increase.

Results

Of 2,547 screened citation, nine observational studies involving 81,257 patients with CAD were analyzed. Malnutrition defined by the CONUT score was associated with significantly increased risk of all-cause mortality when compared with the normal nutritional state (aHR for mild, moderate, and severe malnutrition, respectively: (1.21 [95% CI: 1.15–1.27], I² = 0%), (1.53 [95% CI: 1.26–1.84], I² = 84%), and (2.24 [95% CI: 1.57–3.19], I² = 77%). Similarly, moderate (aHR 1.71 [95% CI: 1.44–2.03], I² = 0%) and severe (aHR 2.66 [95% CI: 1.82–3.89], I² = 0%) malnutrition was associated with a significantly higher risk of MACE compared with the normal nutritional state. Additionally, per point increase in the CONUT score was correlated with 20 and 23% additional risk of all-cause mortality and MACE, respectively.

Conclusion

As defined by the CONUT score, malnutrition is an independent predictor of all-cause mortality and MACE in CAD patients. Nutritional assessment with CONUT score could allow clinicians to identify patients with CAD at high risk for adverse clinical outcomes.

Prevalence and Prognostic Significance of Malnutrition in Hypertensive Patients in a Community Setting

BACKGROUND

Malnutrition is a significantly poor prognostic factor for a variety of cardiovascular diseases. However, its prevalence and prognostic value in hypertensive patients is still unclear. The present study sought to determine the prevalence and prognostic value of malnutrition in hypertensive patients in a community setting.

METHODS

We included 9,949 hypertensive patients from the National Health and Nutrition Examination Survey (NHANES) (2005-2014). The Controlling Nutritional Status (CONUT) score, the Nutritional Risk Index (NRI), and the Naples Prognostic Score (NPS) were applied to assess the nutritional status of participants. A Cox regression model was established to examine the association between malnutrition and cardiovascular and all-cause mortality.

RESULTS

In all, 19.9, 3.9, and 82.9% hypertensive patients were considered to have malnutrition as evaluated by the CONUT, NRI, and NPS, respectively. Malnutrition assessed by CONUT and NRI was independently associated with cardiovascular mortality (HR [95% CI]) for mild and moderate-to-severe degree of malnutrition, respectively: 1.41 (1.04-1.91) and 5.79 (2.34-14.29) for CONUT; 2.60 (1.34-5.07) and 3.30 (1.66-6.56) for NRI (all P < 0.05), and for all-cause mortality (HR [95% CI]) for mild and moderate-to-severe degree of malnutrition, respectively: 1.48 (1.30-1.70) and 4.87 (3.40-6.98) for CONUT; 1.72 (1.24-2.39) and 2.60 (1.96-3.44) for NRI (all P < 0.01). Naples Prognostic Score could only independently predict all-cause mortality.

CONCLUSIONS

Malnutrition was common among hypertensive patients and was closely associated with both long-term cardiovascular and all-cause mortality.

CONUT Score: A New Tool for Predicting Prognosis in Patients with Advanced Thyroid Cancer Treated with TKI

Simple Summary

Many studies have shown that an impaired nutritional status correlated with a worse prognosis in cancer patients. The aim of our retrospective study was to evaluate the potential role of baseline Controlling Nutritional Status (CONUT score) in predicting prognosis of advanced thyroid cancer treated with tyrosine kinase inhibitors (TKI). We were able to confirm that baseline CONUT score significantly correlated with progression free survival (PFS) and overall survival (OS) and was the only independent prognostic factor for both outcomes. In particular, a CONUT score ≥3 was associated with a worse PFS and OS. The CONUT score represents a relatively new screening tool that is useful in predicting prognosis in thyroid cancer patients before the beginning of anti-tumoral treatment.

Abstract

(1) Background: The Controlling Nutritional Status (CONUT) score is an immuno-nutritional screening tool based on serum albumin, total cholesterol, and lymphocyte count. The aim of the study was to assess the CONUT score as a potential prognostic factor of response to therapy in patients with advanced thyroid cancer treated with tyrosine kinase inhibitors (TKIs). (2) Methods: We retrospectively evaluated 42 metastatic thyroid cancer patients (54.8% female). The median age at the time of TKI treatment was 69 years. Histological diagnosis was differentiated thyroid cancer in 66.7%, poorly differentiated thyroid cancer in 21.4%, and medullary thyroid cancer in 11.9% of patients. CONUT score was assessed before starting TKI therapy. (3) Results: Progression-free survival (PFS) and overall survival (OS) were significantly influenced by baseline CONUT score. The best CONUT cut-off able to predict the response to treatment was 3. Both PFS and OS were better in patients with CONUT score <3 than in those with CONUT score ≥3 (p < 0.0001). CONUT score was the only independent prognostic factor associated with PFS (p = 0.021) and OS (p = 0.007). (4) Conclusions: CONUT score represents a relatively new screening tool, easily applicable in clinical practice and potentially useful in predicting prognosis in thyroid cancer patients treated with TKIs.

Impact of malnutrition on in-hospital outcomes in takotsubo cardiomyopathy

OBJECTIVE

This study assesses the effect of malnutrition on the in-hospital outcomes of patients with takotsubo cardiomyopathy (TCM).

METHODS

We performed a retrospective cohort analysis using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for a primary diagnosis of TCM from the National Inpatient Sample database (2016-2018). A concurrent diagnosis of malnutrition was then identified, and these patients were divided into the malnutrition group and non-malnutrition group. To adjust for underlying risk factors, a multivariable logistic regression model was employed followed by a propensity score matching analysis for the malnutrition and the non-malnutrition group. We then compared the in-hospital outcomes between these two groups.

RESULTS

Among 4733 patients with a primary diagnosis of TCM, 221 (4.7%) patients with TCM were found to be malnourished. After propensity score matching, patients with TCM with malnutrition were found to have a higher mortality rate (8.3% versus 2.0%, P < 0.001), a higher rate of complications including cardiogenic shock (16.1% versus 7.0%, P < 0.001), ventricular arrhythmia (8.8% versus 3.9%, P = 0.01), acute kidney injury (24.9% versus 10.6%, P < 0.001), and acute respiratory failure (32.7% versus 17.8%, P < 0.001). There was no statistically significant difference in the incidence of cardiac arrest between the two groups. Malnutrition of severe degree was associated with a sevenfold (odds ratio 6.8, 95% confidence interval, 3.2-13.4) increased risk of in-hospital mortality compared with those without malnutrition.

CONCLUSION

Patients with malnutrition who were admitted with TCM were associated with higher rates of in-hospital mortality and complications compared with those without malnutrition.

Controlling Nutritional Status Score Predicts In-Hospital Mortality in Acute Pulmonary Embolism

OBJECTIVE

The association between the nutritional status and outcomes in pulmonary embolism is unclear. This study was aimed at examining the value of the Controlling Nutritional Status (CONUT) score in assessing malnutrition among acute pulmonary embolism patients.

SUBJECT AND METHODS

We retrospectively reviewed the records of adult patients with acute pulmonary embolism hospitalized through our ED. Demographic, clinical, and laboratory data on admission were recorded. Nutritional status was assessed with the CONUT score, which is calculated by the albumin, total cholesterol, and lymphocyte counts. The primary endpoint of the study was in-hospital mortality.

RESULTS

A total of 308 consecutive patients (mean age 68.2 ± 12.9 years, 53.9% female) were included, and 35 of the patients (11.4%) died during their in-hospital course. Multivariate analysis showed that a pulmonary embolism severity index >148 (OR 3.12, 95% CI: 1.65-8.81, p < 0.001), the presence of heart failure (1.25, 95% CI: 1.08-1.78, p = 0.03), and a CONUT score >4 (OR 1.39, 95% CI: 1.146-3.424, p = 0.015) were independent predictors of in-hospital mortality.

CONCLUSION

The present study indicates that the presence of malnutrition defined by the CONUT score predicts in-hospital mortality following acute pulmonary embolism.

Impact of nutritional assessment on long-term outcomes in patients with carotid artery stenting

BACKGROUND AND AIMS

Malnutrition is associated with poor clinical outcomes in many diseases. The Controlling Nutritional Status (CONUT) is an objective index used for evaluating nutritional status of hospitalised patients. The aim of this study was to investigate the relationship between malnutrition assessed by CONUT score and the prognosis in patients undergoing carotid artery stenting (CAS).

METHODS AND RESULTS

The study included 170 patients who underwent CAS because of symptomatic or asymptomatic severe carotid artery stenosis. Median follow-up period was 50 (interquartile range [IQR], 41-60) months. Patients were divided into two groups according to the CONUT score as normal CONUT (score <2) and mild-severe CONUT (score ≥2). Primary endpoint was accepted as MACE (major adverse cardiac events) including all-cause death and ischaemic stroke. The prevalence of MACE was significantly higher in the mild-severe CONUT score group (P = .001). Kaplan Meier analysis showed lower survival rates in the mild-severe CONUT score group (log rank = 9.36, P = .002; Figure 5). The Cox regression analysis showed that, the CONUT score was associated with increased risk of MACE for both unadjusted model and age- and gender- adjusted model, while in a full adjusted model the best predictor was age.

CONCLUSION

Higher CONUT scores were associated with adverse outcomes in patients with CAS. Malnutrition assessed by the CONUT score is preferable with regards to the detection of MACE in patients with CAS. Larger studies are warranted to investigate if our preliminary findings translate into clinical outcomes in patients with CAS.

Age Is Just a Number: Patient Age Does Not Affect Outcome Following Surgery for Osteoporotic Vertebral Compression Fractures

STUDY DESIGN

Retrospective study.

OBJECTIVE

Multiple studies have shown that osteoporotic patients are at an increased risk for medical and surgical complications, making optimal management of these patients challenging. The purpose of this study was to determine the relationship between patient age and the likelihood of surgical complications, mortality, and 30-day readmission rates following surgery for osteoporotic vertebral compression fractures (OVCFs).

METHODS

A retrospective analysis of the American College of Surgeons National Surgery Quality Improvement Project (ACS-NSQIP) database from 2007 to 2014 identified 1979 patients who met inclusion criteria. A multivariate logistic regression analysis was conducted to calculate odds ratios (OR), with corresponding P values and 95% confidence intervals, of the relationship between age (treated as a continuous variable) and perioperative mortality, surgical complications, and 30-day readmission rates.

RESULTS

Younger patients were statistically more likely to endure a minor (OR = 0.98; P = .002) or major complication (OR = 0.97; P = .009). The older a patient was, on the other hand, the higher the likelihood that patient would be readmitted within 30 days of surgery (OR =1.02; P = .004). Mortality within the 30-day perioperative period was not statistically correlated with age.

CONCLUSIONS

The impact of age on adverse outcomes following surgery for OVCF is mixed. While younger patients are more likely to endure complications, older patients are more likely to be readmitted within 30 days following surgery. Patient age showed no correlation with mortality rates. In the setting of surgical treatment for an OVCF, a patient's age can help determine the risk of complications and the rate of readmission following intervention.

Impact of the Malnutrition on Mortality in Elderly Patients Undergoing Percutaneous Coronary Intervention

Purpose

Malnutrition has been shown to be related to adverse clinical outcomes in patients with heart failure, hypertension, atrial fibrillation and other cardiovascular diseases. However, in the patients with coronary artery disease (CAD) undergoing percutaneous coronary interventions (PCI), especially in the elderly, the association of nutritional state and all-cause mortality remains unknown. We aimed to investigate the association of malnutrition with all-cause mortality in the elder patients undergoing PCI.

Patients and Methods

Based on the largest retrospective and observational cohort study from January 2007 to December 2017, the Controlling Nutritional Status (CONUT) score was applied to 21,479 consecutive patients with age ≥60 who undergoing PCI for nutritional assessment. Participants were classified as absent, mild, moderate and severe malnutrition by CONUT score. The Kaplan-Meier method was used to compare all-cause mortality among the above four groups. Multivariable Cox proportional hazard regression analyses were performed to examine the association of malnutrition with all-cause mortality.

Results

According to the CONUT score, 48.19%, 15.08% and 0.94% patients were mildly, moderately and severely malnourished, respectively. During a median follow-up of 5.16 years (interquartile range: 3.02 to 7.89 years), 3173 (14.77%) patients died. Kaplan-Meier analysis showed that the risk of all-cause mortality was significantly higher in patients with a worse nutritional status. Compared with normal nutritional state, malnutrition was associated with significantly increased risk for all-cause mortality (adjusted hazard ratio for mild, moderate and severe degrees of malnutrition, respectively: 1.20 [95% confidence interval (CI): 1.09 to 1.33], 1.32 [95% CI: 1.17 to 1.49] and 1.76 [95% CI: 1.33 to 2.33]).

Conclusion

Malnutrition is prevalent among elderly patients with CAD undergoing PCI, and is strongly related to the all-cause mortality increasing. For elderly patients with CAD undergoing PCI, it is necessary to assess the status of nutrition, and evaluate the efficacy of nutritional interventions.

Predicting One-Year Deaths and Major Adverse Vascular Events with the Controlling Nutritional Status Score in Elderly Patients with Non-ST-Elevated Myocardial Infarction Undergoing Percutaneous Coronary Intervention

The prognostic value of malnutrition in elderly patients with non-ST-elevated myocardial infarction (NSTEMI) is not fully understood. Nutritional characteristics were evaluated by novel Controlling Nutritional status (CONUT), the prognostic nutritional index (PNI) and the geriatric nutritional risk index (GNRI) scores. The impact of these scores on major outcomes in 253 NSTEMI patients over 60 years and older were assessed. Compared to those with good nutritional status; malnourished patients had more major adverse cardiac and cerebrovascular events (MACCEs) at 1-year follow up. Multivariable cox regression analysis revealed that CONUT (hazard ratio = 1.372; p < 0.01) was independent predictor of MACCEs, whereas PNI (p = 0.44) and GNRI (p = 0.52) were not. The discriminating power of the CONUT (AUC: 0.79) was adequate and significantly superior to both the PNI (AUC: 0.68) and the GNRI (AUC: 0.60), with a p-value for both < 0.01. Patients with elevated CONUT exhibited the highest event rate for all-cause mortality and MACCEs in survival analysis (p < 0.01). We conclude that malnutrition is strongly associated with adverse outcomes in older patients with NSTEMI. In fact, the CONUT score adequately predicts one-year MACCEs among elderly NSTEMI patients who achieve complete revascularization after coronary intervention.

Association of the Geriatric Nutritional Risk Index with incident hypertension in the older Chinese population: a 6-year cohort study

Background

We examined the association of the Geriatric Nutritional Risk Index (GNRI) with the incidence of hypertension.

Methods

We used data of the China Health and Nutrition Survey in this study. Participants aged ≥60 years were eligible. The GNRI was defined as follows: GNRI = [1.489 × albumin (ALB; g/L)] + [41.7 × (actual weight/ideal weight)]. Participants with systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg, or use of antihypertensive medication were defined as having hypertension.

Results

This study included 4853 participants, comprising 3612 control participants and 1241 participants with hypertension. The GNRI, ALB, and body mass index (BMI) were significantly associated with higher incidence of hypertension (HR: 1.030, 1.026, and 1.088; 95% CI: 1.020–1.041, 1.008–1.044, and 1.069–1.107, respectively). The GNRI, ALB, and BMI were associated with an earlier age of hypertension onset (β = −0.403, −0.613, and −0.321; 95% CI: −0.493 to −0.314, −0.767 to −0.459, and −0.484 to −0.159, respectively).

Conclusions

A higher GNRI was associated with increased incidence of hypertension. An elevated GNRI was associated with earlier age of hypertension onset.

Males Have Higher Rates of Peri-operative Mortality Following Surgery for Osteoporotic Vertebral Compression Fracture

In this study, we evaluated the association between sex and the incidence of postoperative mortality in the peri-operative period following surgical intervention for OVCF. We found no statistical association between surgical complications and patient sex. However, males exhibited higher rates of mortality and 30-day readmissions relative to females.

INTRODUCTION

Osteoporotic vertebral compression fractures (OVCF) contribute substantially to the financial burden of the US healthcare system. As the size of the elderly population grows, the number of fractures attributed to osteoporosis is expected to increase. Studies have shown that osteoporotic patients are at an increased risk for medical and surgical complications. The purpose of this study was to evaluate the association between sex and the incidence of postoperative mortality in the peri-operative period following surgical intervention for OVCF.

METHODS

A retrospective analysis of the American College of Surgeons National Surgery Quality Improvement Project (ACS-NSQIP) database from 2007 to 2014 identified 1979 patients. Patients were grouped as male or female. Mortality within 30 days of surgery due to any cause, incidence of surgical complications, and 30-day readmission rates following surgery were tabulated. A multivariate logistic regression analysis was conducted to calculate odds ratios (OR) with corresponding p values and 95% confidence intervals.

RESULTS

In total, 1979 patients met inclusion and exclusion criteria. Mortality within the 30 days following surgery for OVCF was statistically greater in men than in women (OR = 1.58; p = 0.050). The 30-day readmission rate was also statistically higher in men (OR = 1.41; p = 0.017). Neither minor (OR = 0.90; p = 0.560) nor major (OR = 1.14; p = 0.569) complications were statistically correlated with sex. On average, men underwent surgery for OVCF at a younger age than women.

CONCLUSIONS

Male patients undergoing surgery for OVCF have higher rates of peri-operative mortality and 30-day readmissions following surgery. Sex was not found to be associated with postoperative complications.

LEVEL OF EVIDENCE

III.

The controlling nutritional status score: A promising tool for nutritional screening and predicting severity in ulcerative colitis patients

INTRODUCTION AND AIMS

The controlling nutritional status (CONUT) score has previously been shown to be useful for nutritional assessment and the prediction of several inflammatory and neoplastic diseases. The aim of the present study was to evaluate the potential use of the CONUT score as a method for nutritional screening and predicting severity in ulcerative colitis (UC).

MATERIALS AND METHODS

The study was conducted on 60 patients diagnosed with UC. Demographic, clinical, and biochemical patient characteristics were collected from their clinical records, and disease severity was assessed using the Truelove and Witts scale (TWS). The risks for malnutrition were evaluated through the nutritional risk index and the CONUT score.

RESULTS

More than 90% of the UC patients presented with malnutrition risk, according to the scores analyzed. Patients with a high (>6points) CONUT score presented with moderate-to-severe activity on the TWS. A higher CONUT score was also associated with an increase in C-reactive protein (CRP) (P=.002) and erythrocyte sedimentation rate (ESR) (P=.009). The data analysis was performed utilizing the SPSS version 19 program.

CONCLUSIONS

The CONUT score could be a promising tool for evaluating nutritional status in UC patients and predicting UC severity.

Prognostic Potential of the Preoperative Controlling Nutritional Status (CONUT) Score in Predicting Survival of Patients with Cancer: A Systematic Review

The nutritional status of a patient has prognostic potency concerning short- and long-term outcomes, including survival, in many diseases. The controlling nutritional status (CONUT) score is a method for assessing nutritional status and predicting outcomes of several diseases. This study sought to systematically identify the prognostic role of preoperative CONUT score on posttreatment overall survival (OS), recurrence-free survival (RFS), and cancer-specific survival (CSS) in patients with cancer. The PubMed, SCOPUS, and Google Scholar databases and Google were searched for all dates until December 2019. Original articles investigating the association of preoperative CONUT score with survival in cancer patients who underwent surgery were included. Duplicate and irrelevant reports were screened out and the remaining articles assessed for quality and data extracted during critical analysis. Results of multivariate analysis were used to evaluate the prognostic competence of CONUT score in predicting survival. The search method identified an initial 181 articles, of which 32 were included in the final analysis. Lower OS, CSS, and RFS rates were reported by 100%, 100%, and 87.0% of the included studies, respectively, in cancer patients with high CONUT scores. A prognostic role of the CONUT score for prediction of OS, CSS, and RFS in cancer patients was shown by 91.7%, 90.9%, and 52.6% of the studies, respectively. The receiver operating characteristic curve area under the curve (AUC) value of the CONUT score for predicting OS, CSS, and RFS was at an acceptable level (>0.5) in all studies with available AUC values (n = 19). Sixty percent (12 of 20) of the studies reported that high CONUT score was significantly related to lower BMI. The findings promote confidence that a high preoperative CONUT score is associated with poor survival rate and is an independent prognostic factor of OS and CSS in patients with various types of cancer. Evaluation of the preoperative CONUT score might help clinicians in decision-making with respect to surgical implications.

Malnutrition provides important long-term prognostic information in patients undergoing endovascular abdominal aortic aneurysm repair

OBJECTIVES

Malnutrition has been shown to be associated with survival in a variety of diseases. Our aim is to evaluate the prognostic value of objective nutritional indexes indicating malnutrition, in patients underwent endovascular aortic replacement.

METHODS

We retrospectively evaluated 149 consecutive patients who underwent technically successful endovascular aortic replacement operation between October 2010 and August 2019. Objective nutritional indexes, prognostic nutritional index, geriatric nutritional risk index and controlling nutritional status, scores were calculated using the preoperative data. Optimal cut-off values were obtained by receiver operating characteristic analysis. According to the cut-off values, we investigated the relationship between indexes and the long-term all-cause mortality.

RESULTS

During mean 48.0 ± 30.3 months follow-up duration, in 47 of patients (31.5%), all-cause mortality were documented. In mortality group, prognostic nutritional index (42.8 ± 7.1 vs 51.3 ± 5.2, p < 0.001) and geriatric nutritional risk index (100.7 ± 10.1 vs 107.6 ± 9.2, p < 0.001) were significantly lower, controlling nutritional status score (2.0 (1.0-4.0) vs 1.0 (0.0-2.0), p < 0.001) was higher when compared to survivor group. Kaplan-Meier curves presented higher mortality incidence in malnutrition patients evaluated with objective nutritional indexes (Log-rang test, for all three indexes p < 0.001). Besides Cox-proportional hazard analysis showed all three nutritional indexes may be a predictive marker for all-cause mortality, prognostic nutritional index introduced more valuable data than other two indexes.

CONCLUSIONS

Malnutrition is associated with significant increase in postoperative long-term mortality in endovascular aortic replacement patients. Preoperatively calculated objective nutritional indexes especially prognostic nutritional index can be used as an important prognostic tool.

Association of Controlling Nutritional Status Score With 2-Year Clinical Outcomes in Patients With ST Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention

BACKGROUND

This study evaluated whether the Controlling Nutritional Status (CONUT) score could predict clinical outcomes in ST elevation myocardial infarction (STEMI) patients.

METHODS

We performed a retrospective cohort study of STEMI patients after primary percutaneous coronary intervention (pPCI). The endpoint was major adverse cardiac event (MACE). Information was obtained from medical records and via telephone calls. Patients were divided into three groups: normal (CONUT score 0-1; n=278), mild-moderate (score 2-4; n=418), and severe (score ≥5; n=55) groups.

RESULTS

During the 24.6±12 months follow-up, MACEs were observed in 65 (8.7%) patients. The incidence of MACEs was 6.1%, 5.5%, and 45.5% in the normal, mild-moderate, and severe group, respectively (p<0.001). Kaplan-Meier curves revealed that patients with a CONUT score ≥5 had the significantly highest rate of MACE, myocardial re-infarction, and vessel revascularisation. In three Cox proportional hazard models, the CONUT scores were unexceptionally associated with MACE, even after adjusting all other variables (hazard ratio, 12.09; 95% confidence interval [CI], 5.09-28.7; p<0.001). The C-statistic of the CONUT score for the prediction of MACE was 0.692 (95% CI, 0.613-0.771; p<0.001), which is close to that of Global Registry of Acute Coronary Events.

CONCLUSIONS

The nutritional status evaluated by the CONUT score can independently predict clinical outcomes in STEMI patients, which suggests that active nutritional management is meaningful for these patients after PCI.

Clinical impact of controlling nutritional status score on the prognosis of patients with diffuse large B-cell lymphoma

The controlling nutritional status (CONUT) score is a nutritional index calculated from serum albumin and total cholesterol levels and lymphocyte counts. Its role in predicting clinical outcomes of diffuse large B-cell lymphoma (DLBCL) has not been evaluated. In this retrospective study, data from 476 patients with DLBCL were analyzed. The cutoff value of the CONUT score was set as 4. CONUT score significantly stratified the overall survival (OS) and the progression-free-survival (PFS) (5-year OS, 49.0% vs 83.2%, P < .001; 5-year PFS, 46.1% vs 73.1%, P < .001) of the patients. Among patients at high-intermediate or high risk, as per the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI), 5-year OS was lower in patients with high CONUT scores than in those with low CONUT scores (high-intermediate risk, 51.2% vs 75.5%, P < .001; high risk, 29.9% vs 63.3%, P = .007). Additionally, in patients with high CONUT scores, maintenance of relative dose intensity (RDI) of chemotherapy did not affect the 5-year OS (RDI > 80% vs RDI ≤ 80%: 59.8% vs 50.9%, P = .73). In the present study, we have demonstrated that the CONUT score is an independent prognostic factor in patients with DLBCL.

CONUT Score or/and Peripheral Blood CD4+/CD8+ Ratio-Based Web Dynamic Nomograms to Predict the Individualized Survival of Patients with Advanced Osteosarcoma

Background

Nutritional and immune status is paramount for the overall survival (OS) of patients with advanced osteosarcoma. Comprehensive prognostic predictors based on the two indices are scarce. This study aimed to construct and validate individualized web dynamic nomograms based on CONUT score or/and peripheral blood CD4+/CD8+ ratio for OS in patients with advanced osteosarcoma.

Materials and Methods

The clinical data of 376 advanced osteosarcoma patients from January 2000 to December 2019 were retrospectively collected. Data from the 301 patients (diagnosed in the first 15 years) were used as the development set and data from the remaining 75 patients were assigned as the validation set. Multivariate Cox regression analyses were conducted and three prediction models were constructed, namely, CD4+/CD8+ ratio univariate model (model 1), CONUT score univariate model (model 2), and CD4+/CD8+ ratio plus CONUT score (model 3). These models were visualized by conventional nomograms and individualized web dynamic nomograms, and their performances were further evaluated by C-index, calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA), respectively.

Results

In multivariate Cox analysis, age, metastasis, ALP, CD4+/CD8+ ratio, chemotherapy, and CONUT score were identified as independent prognostic factors for OS. The calibration curves of the three models all showed good agreement between the actual observation and nomogram prediction for 1-year overall survival. In the development set, the C-index and area under the curve (AUC) of model 3 (0.837, 0.848) were higher than that of model 1 (0.765, 0.773) and model 2 (0.712, 0.749). Similar trends were observed in the validation set. The net benefits of model 3 were better than the other two models within the threshold probability of 36–80% in DCA.

Conclusion

CONUT score and peripheral CD4+/CD8+ ratio are easily available, reliable, and economical prognostic predictors for survival prediction and stratification in patients with advanced osteosarcoma, but the two predictors combined can establish a better prognosis prediction model.

Association between Preoperative Nutritional Status and Clinical Outcomes of Patients with Coronary Artery Disease Undergoing Percutaneous Coronary Intervention

Background: Malnutrition is associated with poor outcomes in patients with cancer, heart failure and chronic kidney disease. This study aimed to investigate the predictive value of the Controlling Nutritional Status (CONUT) score in coronary artery disease (CAD) patients. Methods: We recruited a cohort of 3118 patients with CAD undergoing percutaneous coronary intervention (PCI) from 2005 to 2015. Nutritional status was evaluated using the CONUT score, with higher scores reflecting worse nutritional status. Results: After adjustment for comorbidities and medication, an increased CONUT score was independently associated with a higher risk of acute myocardial infarction (AMI) (HR: 1.13; 95% CI: 1.03–1.24), cardiovascular (CV) death (HR: 1.18; 95% CI: 1.07–1.30), congestive heart failure (CHF) (HR: 1.11; 95% CI: 1.04–1.18), a major adverse cardiovascular event (MACE) (HR: 1.14; 95% CI: 1.07–1.22), and total CV events (HR: 1.11; 95% CI: 1.07–1.15). The subgroup analyses demonstrated that the association of the CONUT score existed independently of other established cardiovascular risk factors. In addition, CONUT significantly improved risk stratification for myocardial infarction (MI), cardiac death, CHF, MACEs and total CV events compared to conventional risk factors in CAD patients by the significant increase in the C-index (p < 0.05) and reclassification risk categories in cardiac death and MACEs. Conclusions: The CONUT score improved the risk prediction of adverse events compared to traditional risk factors in CAD patients after percutaneous coronary intervention (PCI).

Comparison of nutritional screening tools to assess nutritional risk and predict clinical outcomes in Mexican patients with digestive diseases

BACKGROUND

The prevalence of malnutrition remains high in hospitals but no "gold standard" has been established to identify nutritional risks adequately. The Nutrition Risk Screening-2002 (NRS-2002), Subjective Global Assessment (SGA), and Controlling Nutritional Status Index (CONUT) are widely used screening tools, but their efficacy has not yet been compared in Mexican patients. Here, we aimed to compare the efficacy of these tools in identifying nutritional risks within the first 48 h of admission in a group of patients with gastrointestinal diseases.

METHODS

This was a cross-sectional study of 196 patients. The results of the screening tools, length of hospital stay, serum albumin and cholesterol concentrations, lymphocyte counts, age, body mass index (BMI), complications, and mortality were analyzed. Kappa (κ) statistics were applied to determine the degree of agreement between tools. The performances of the screening tools in predicting complications and mortality were assessed using binary logistic regression.

RESULTS

The NRS-2002, SGA, and CONUT tools identified nutritional risk in 67, 74, and 51% of the patients, respectively. The observed agreements between tools were: NRS2002/SGA, κ = 0.53; CONUT/NRS-2002, κ = 0.42; and SGA/CONUT, κ = 0.36. Within age groups, the best agreement was found in those aged 51-65 years (κ = 0.68). CONUT and length of stay were both predictive for the number of complications. The number of complications and serum cholesterol concentrations were predictive for mortality.

CONCLUSIONS

The proportion of patients identified as having nutritional risk was high using all three screening tools. SGA, NRS-2002, and CONUT had similar capacities for screening risk, but the best agreement was observed between NRS-2002 and SGA. Only CONUT predicted complications, but none of these tools performed well in predicting mortality.

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

The high controlling nutritional status (CONUT) score that represents poor nutritional status has been acknowledged to have prognostic implications in chronic heart failure. We aimed to investigate its role in acute decompensated heart failure (ADHF). Using the data from an multicenter registry that enrolled 4056 consecutive patients hospitalized for ADHF in Japan between 2014 and 2016, we analyzed 2466 patients in whom data on the components of the CONUT score at hospital presentation were available. The decrease of lymphocyte count and total cholesterol was assigned with 0, 1, 2, and 3 points and the decrease of albumin was assigned with 0, 2, 4, and 6 points according to the severity. We defined low CONUT score as 0-4 (N = 1568) and high CONUT score as 5-9 (N = 898). The patients in the high CONUT score group were older and more likely to have a smaller body mass index than those in the low CONUT score group. The high CONUT score group was associated with higher rate of death and infection during the index hospitalization compared to the low CONUT score group (9.0% versus 4.4%, and 21.9% versus 12.7%, respectively). After adjusting for confounders, the excess risk of high relative to low CONUT score for mortality and infection was significant (OR: 1.61, 95%CI: 1.05-2.44, and OR: 1.66, 95%CI: 1.30-2.12, respectively). The effect was incremental according to the score. High CONUT score was associated with higher risk for in-hospital mortality and infection in an incremental manner in patients hospitalized for ADHF.

Body Mass Index and Modified Glasgow Prognostic Score Are Useful Predictors of Surgical Site Infection After Spinal Instrumentation Surgery: A Consecutive Series

STUDY DESIGN

Retrospective observational study.

OBJECTIVE

To analyze a large consecutive cohort of patients who had undergone spinal instrumentation surgery, to characterize a patient population with surgical site infections (SSI), and to identify preoperative risk factors associated with SSI.

SUMMARY OF BACKGROUND DATA

Malnutrition is a risk factor for SSI in many health conditions; however, the evidence connecting preoperative malnutrition with SSI in spinal instrumentation surgery is limited because of the small number of retrospective studies. While the modified Glasgow prognostic score (mGPS), C-Reactive protein (CRP)-albumin ratio (CAR), controlling nutritional status index (CONUT), prognostic nutritional index (PNI), platelet-lymphocyte ratio (PLR), and neutrophil-lymphocyte ratio (NLR) are established methods for evaluating nutritious status, little has been reported on the predictive value of these indicators with respect to postoperative spinal infection.

METHODS

We retrospectively investigated 384 patients who underwent spinal instrumentation surgery. We evaluated the significance of risk factors, including mGPS, CAR, CONUT, PNI, PLR, and NLR. We then performed stepwise logistic regression analysis to analyze the concurrent effects of various factors on the prevalence of SSI.

RESULTS

Of the 384 patients analyzed, 14 were diagnosed with SSIs. Univariate analysis showed that preoperative BMI, lymphocyte count, albumin, erythrocyte sedimentation rate, CRP, CONUT, mGPS, CAR, and PNI were risk factors for SSI. Stepwise logistic regression analysis revealed that higher mGPS and lower BMI before surgery were independent risk factors for SSI. A receiver operating characteristic curve showed that the cut-off values of mGPS and BMI were 1 and 20.39, respectively.

CONCLUSION

The risk factors for SSI after spinal instrumentation surgery were mGPS more than or equal to 1 and BMI less than or equal to 20.39 kg/m. These findings could help to identify patients at higher risk of SSI after spinal instrumentation surgery.

LEVEL OF EVIDENCE

4.

Serum albumin levels predict which patients are at increased risk for complications following surgical management of acute osteoporotic vertebral compression fractures

BACKGROUND

Osteoporotic vertebral compression fractures (OVCF) account for a substantial portion of the US healthcare financial burden. With a growing elderly population, the number of fractures contributing to sagittal imbalance is expected to increase. For those patients undergoing surgery, preoperative markers, such as albumin, may help to predict the occurrence of postoperative complications.

PURPOSE

To evaluate the association between preoperative serum albumin levels and the incidence of postoperative complications, mortality, and 30-day readmissions following surgical intervention for OVCF.

STUDY DESIGN

Retrospective study.

PATIENT SAMPLE

Patient data were obtained from the American College of Surgeons National Surgery Quality Improvement Project (ACS-NSIP) database between the years 2007 and 2014.

OUTCOME MEASURES

No outcome measures related to self-reporting, physiology, or functionality were evaluated in this study. Primary outcome measures analyzed included various postoperative complications, patient mortality, and 30-day readmission.

METHODS

A retrospective analysis of the American College of Surgeons National Surgery Quality Improvement Project (ACS-NSQIP) database between 2007 and 2014 was performed, identifying 1,979 patients who met inclusion criteria. Patients were subcategorized into three groups based on preoperative nutritional status as defined by albumin levels. Outcome measures for this study included minor postoperative complication(s), major postoperative complication(s), patient mortality, 30-day readmission due to any cause, 30-day readmission related to OVCF, and total length of hospital stay. Analysis of variance was used to evaluate for associations between continuous variables and preoperative albumin levels. Spearman's rank correlation coefficient, chi-square trend, and Kruskal-Wallis analyses were utilized, as appropriate, for categorical variables. A multivariate logistic regression analysis was then conducted to calculate odds ratios with corresponding p values and 95% confidence intervals.

RESULTS

Functional status showed a statistically significant decline when correlated with preoperative albumin levels. Sepsis, septic shock, pulmonary embolism, reintubation, prolonged intubation, and major complications in general are statistically more likely to occur in patients with hypoalbuminemia. Among minor complications evaluated in this study, only surgical site complications failed to demonstrate a statistical correlation with nutritional status. No statistically significant associations were identified between postoperative outcomes and age, sex, or BMI.

CONCLUSIONS

Preoperative albumin levels were statistically correlated to the likelihood of minor complications, major complications, or mortality.

Comparison of long-term outcomes between enteral nutrition via gastrostomy and total parenteral nutrition in older persons with dysphagia: A propensity-matched cohort study

Background

The long-term outcomes of artificial nutrition in older people with dysphagia remain uncertain. Enteral nutrition via percutaneous endoscopic gastrostomy (PEG) is one of the major methods of artificial nutrition. Enteral feeding is indicated for patients with a functional gastrointestinal tract. However, total parenteral nutrition (TPN) is often inappropriately chosen for artificial nutrition in Japan, even in patients with a functional gastrointestinal tract, as PEG has recently been viewed as an unnecessary life-prolonging treatment in Japan. This study aimed to compare the long-term outcomes between PEG and TPN.

Methods

This single-center retrospective cohort study investigated long-term outcomes in older patients with dysphagia who received PEG or TPN between January 2014 and January 2017. The primary outcome was survival time. Secondary outcomes were oral intake recovery, discharge to home, and the incidence of severe pneumonia and sepsis. We performed 1-to-1 propensity score matching using a 0.05 caliper. The Kaplan–Meier method, log-rank test, and Cox regression analysis were used to compare the survival time between groups.

Results

We identified 253 patients who received PEG (n = 180) or TPN (n = 73). Older patients, those with lower nutritional states, and severe dementia were more likely to receive TPN. Propensity score matching created 55 pairs. Survival time was significantly longer in the PEG group (median, 317 vs 195 days; P = 0.017). The hazard ratio for PEG relative to TPN was 0.60 (95% confidence interval: 0.39–0.92; P = 0.019). There were no significant differences between the groups in oral intake recovery and discharge to home. The incidence of severe pneumonia was significantly higher in the PEG group (50.9% vs 25.5%, P = 0.010), whereas sepsis was significantly higher in the TPN group (10.9% vs 30.9%, P = 0.018).

Conclusions

PEG was associated with a significantly longer survival time, a higher incidence of severe pneumonia, and a lower incidence of sepsis compared with TPN.

Malnutrition status in patients of very advanced age with nonvalvular atrial fibrillation and its impact on clinical outcomes

BACKGROUND AND AIMS

Malnutrition is associated with adverse outcomes in patients with chronic disease. We screened malnutrition among patients of very advanced age with nonvalvular atrial fibrillation (AF) by malnutrition scores and investigated the associations between malnutrition and clinical outcomes.

METHODS AND RESULTS

This retrospective observational study included 461 patients aged ≥80 years with nonvalvular AF. Malnutrition was screened using the Controlling Nutritional Status (CONUT), Prognostic Nutritional Index (PNI), and Geriatric Nutritional Risk Index (GNRI) scores. The primary endpoints were composite events, including thromboembolic events and all-cause death. Malnutrition was present in 62.9%, 5.0%, and 21.9% of patients according to the CONUT, PNI, and GNRI scores, respectively. During a median 27-month follow-up, 130 (28.2%) patients had composite events. Kaplan-Meier curves revealed that patients with moderate to severe malnutrition had the worst clinical outcomes (log-rank P < 0.05 for all scores). Multivariate Cox proportional hazards analysis showed that moderate to severe malnutrition was an independent predictor of composite events [hazard ratio (HR): 2.051, 95% confidence interval (95%CI): 1.143-3.679, P = 0.016 for CONUT score; HR: 3.374, 95%CI: 1.898-5.998, P < 0.001 for PNI score; HR: 2.254, 95%CI: 1.381-3.679, P = 0.001 for GNRI score]. Addition of the CONUT or GNRI score to a baseline prediction model for composite events significantly improved the net reclassification improvement and integrated discrimination improvement (all P < 0.05).

CONCLUSION

Moderate to severe malnutrition was an independent predictor of adverse outcomes among patients of very advanced age with nonvalvular AF. Screening for malnutrition might provide useful information regarding prognosis and risk stratification.

Elevated Controlling Nutritional Status (CONUT) Score is Associated with Poor Long-term Survival in Patients with Low-grade Soft-tissue Sarcomas Treated with Surgical Resection

BACKGROUND

Several studies have examined the Controlling Nutritional Status (CONUT) score, which is a screening tool for nutritional status and an effective biomarker for patient survival after cancer treatment. However, its role in soft-tissue sarcoma (STS) remains unknown. Because of the lack of predictive markers for survival in patients with STS, we aimed to determine the CONUT score's association with survival.

QUESTIONS/PURPOSES

(1) Is there a relationship between the CONUT score and clinicopathologic characteristics such as tumor size, tumor location, pathological grade, and advanced stage based on the American Joint Committee on Cancer (AJCC) guidelines? (2) Is the CONUT score associated with disease-free survival (DFS) and overall survival (OS) in patients treated surgically for STS, even when compared with other systemic inflammatory response markers?

METHODS

Between 1999 and 2016, 769 patients underwent R0 resection for STS at our institution. Adequate medical records and available followup data were required for inclusion in this study. Exclusion criteria were synchronous inflammatory diseases, unplanned excision, and neoadjuvant therapy. There were 658 patients (86%) who fulfilled all criteria. The minimum followup time was 24 months (median, 103 months; range, 61-147 months). The median age of the patients was 43 years (range, 5-85 years), and 265 patients (40%) were women. All patients had Stage I to IV tumors according to the 8 edition of the AJCC staging system. The grade classification was determined to be G1 in 130 patients (20%), G2 in 304 (46%), and G3 in 201 (31%). The CONUT score was calculated based on the serum albumin concentration, total peripheral lymphocyte count, and total cholesterol concentration. The score ranged from 0 to 12, with higher scores indicating worse nutritional status. The patients were classified into two groups according to a receiver operating characteristic curve analysis: the high (≥ 2) and low (0 or 1) CONUT score groups. There were 435 patients in the low CONUT score group and 223 in the high CONUT score group. We tested for an association between the CONUT scores and gender, age, tumor diameter, tumor depth, tumor grade, and AJCC stage using the chi-square and Fisher's exact methods. We also compared the strength of the association between postoperative survival and the CONUT scores, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) using multivariate Cox proportional hazard model analyses.

RESULTS

High CONUT scores were associated with large tumor size (odds ratio [OR], 1.47; 95% CI, 1.06-2.04; p = 0.020), deep tumor location (OR, 1.66; 95% CI, 1.17-2.36; p = 0.004), high tumor grade (OR, 2.54; 95% CI, 1.56-4.14; p = 0.001), and advanced AJCC stage (OR, 1.86; 95% CI, 1.14-3.02; p < 0.001). The low CONUT score group exhibited a higher 5-year OS rate and longer OS than the high CONUT score group (82% versus 65%; odds ratio, 2.45; 95% CI, 1.27-4.72; p < 0.001; 81 versus 64 months, Z = -2.56; p < 0.001). A multivariate analysis indicated that an elevated CONUT score was an independent predictor of OS (hazard ratio [HR], 1.86; 95% CI, 1.47-4.14; p < 0.001) and DFS (HR, 1.63; 95% CI, 1.26-2.11; p < 0.001), but the NLR and PLR were not. In an individual subgroup analysis, the CONUT scores were associated with OS and DFS in the tumor diameter (< 5 or ≥ 5 cm) subgroup, tumor depth (superficial or deep) subgroup, tumor grade (G1 and G2) subgroup, and AJCC stage (I/II or III/IV) subgroup, but not in the G3 subgroup (p = 0.051 and p = 0.065).

CONCLUSION

High CONUT scores were independently associated with aggressive tumor behavior and unfavorable survival for patients with low-grade, but not high-grade, resected STS. If these findings can be substantiated in larger studies, the CONUT score might be useful for predicting survival and help to develop new treatment strategies for nutrition interventions.

LEVEL OF EVIDENCE

Level III, therapeutic study.

The Baseline Nutritional Status Predicts Long-Term Mortality in Patients Undergoing Endovascular Therapy

Introduction: Peripheral artery disease (PAD) occurs at an advanced stage of atherosclerosis and its comorbidities are associated with poor prognoses. Malnutrition is related to the severity of atherosclerosis in patients with cardiovascular disease and it predicts mortality. The Controlling Nutritional Status (CONUT) score is calculated from serum albumin concentration, peripheral lymphocyte count and total cholesterol concentration, and it robustly represents the nutritional status of hospitalized patients. This study aimed to determine the prognostic value of the CONUT score in patients with peripheral artery disease (PAD) who were undergoing endovascular therapy (EVT). METHODS and RESULTS: This study included 628 PAD patients who underwent EVT between 2013 and 2017 and were assigned to low (CONUT score 0: n = 81), mild (CONUT score 1–2: n = 250), moderate (CONUT score 3–4: n = 169), and high (CONUT score ≥ 5: n = 128) risk groups. The study’s primary endpoint was any death. Patients in the groups with higher CONUT scores were more likely to have chronic kidney disease (p < 0.001), impaired left ventricular ejection fractions (p < 0.001), and critical limb ischemia (p < 0.001) on admission. During follow-up, 95 patients (15%) died. Kaplan–Meier analyses revealed that the patients with higher CONUT scores had lower survival rates (p < 0.001; log-rank trend test). Multivariate Cox regression analyses showed that following adjustments for the confounding factors, a higher CONUT score was significantly associated with any death (hazard ratio, 1.15; 95% confidence interval, 1.03–1.30). CONCLUSION: The simple index CONUT score at the time of EVT may predict long-term mortality in PAD patients.

Controlling Nutritional Status (CONUT) Score as a Predictor of All-Cause Mortality at 3 Months in Stroke Patients

Method:

Patients were recruited from consecutive admissions at a hyperacute stroke unit and were screened for risk of malnutrition (light, moderate, or severe) using CONUT scores. At the next visit, 3-month outcomes were obtained.

Results:

Of the 164 recruited patients, 51.2% were male. Mean patient age was 77.7 ( SD = 7.0) years, and 85.8% of patients had an ischemic stroke. There was a significant difference in the survival rate ( p < .001) at 3 months between patients with moderate risk for malnourishment compared to the other patients. The multivariate regression Cox model showed that moderate risk of malnourishment, according to the CONUT score, increased the risk for death at 3 months (hazard ratio = 1.086; 95% CI [1.057, 8.305]; p < .039).

Conclusion:

The CONUT score has predictive validity for all-cause mortality in stroke patients after 3 months, both in hospital and after discharge. Further prospective multicenter studies with larger samples are needed to clarify the usefulness of the CONUT score in the prognosis of all-cause mortality in stroke patients.