Impact of preoperative nutritional scores on 1-year postoperative mortality in patients undergoing valvular heart surgery

Performance of the comprehensive nutrition screening index in predicting mortality after cardiac surgery

Malnutrition is a significant risk factor for postoperative outcomes in patients undergoing cardiac surgery. The Seoul National University Hospital-Nutrition Screening Index (SNUH-NSI) is an automated screening tool designed to comprehensively assess malnutrition risk. However, its predictive value in patients undergoing cardiac surgery remains unvalidated. This study included adult patients who underwent cardiac surgery at a tertiary teaching hospital between May 2008 and December 2019. Patients were classified as low-, intermediate-, or high-risk for malnutrition based on the SNUH-NSI. The association between malnutrition risk and postoperative cumulative all-cause mortality was evaluated using multivariable Cox regression analysis. The predictive ability of the SNUH-NSI was compared with conventional nutritional indices. Compared to the low-risk group, both the high-risk (adjusted hazard ratio [HR], 2.64; 95% confidence interval [CI], 2.19-3.19; P < 0.001) and intermediate-risk groups (adjusted HR, 1.54; 95% CI, 1.31-1.82; P < 0.001) demonstrated a significantly elevated risk of cumulative all-cause mortality. The multivariable model incorporating SNUH-NSI demonstrated moderate but superior predictive performance compared to that of other conventional nutritional indices. Preoperative malnutrition assessed by the SNUH-NSI was found to be a significant predictor of mortality following cardiac surgery. Implementing the SNUH-NSI for automated preoperative malnutrition screening could be an efficient and cost-effective approach.

Preoperative nutritional scores to predict mortality after liver transplantation: a retrospective cohort study

BACKGROUND

Malnutrition is a well-known risk factor for mortality and morbidity. We investigated whether preoperative malnutrition, diagnosed using an objective nutritional index, was associated with postoperative mortality in patients undergoing liver transplantation (LT).

METHODS

This retrospective cohort observational study assessed the preoperative nutritional status of 440 patients who underwent LT, using the Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) score. We evaluated the association between preoperative malnutrition and 3-year postoperative mortality using the Kaplan-Meier curve and log-rank test. In addition, we identified prognostic factors for mortality using Cox proportional hazard analysis.

RESULTS

Malnutrition was identified in 72.7% (n = 320), 66.1% (n = 291), and 97.3% (n = 428) of patients as assessed by the NRI, PNI, and CONUT score, respectively. The Kaplan- Meier survival curve demonstrated that mortality increased with the presence and severity of malnutrition risk, as assessed by the NRI and PNI, respectively; however, NRI was the only index identified as an independent risk factor for mortality, along with preoperative renal replacement therapy, platelet count, and C-reactive protein. After adjustment, lower NRI was associated with a higher risk of mortality (hazard ratio 0.97, 95% confidence interval 0.95- 0.99, P = 0.009). The malnutrition group (NRI ≤ 100) had a significantly greater incidence of postoperative acute kidney injury than that of the normal group.

CONCLUSIONS

Preoperative NRI is an independent risk factor for mortality after LT, and therefore it would be a helpful tool for mortality risk stratification in patients undergoing LT.

Prognostic Value of the Controlling Nutritional Status (CONUT) Score in Patients Who Underwent Cytoreductive Surgery Combined with Hyperthermic Intraperitoneal Chemotherapy

The Controlling Nutritional Status (CONUT) score is a novel nutritional index that integrates the serum albumin level, peripheral blood lymphocyte count, and total cholesterol level. This retrospective study explores its prognostic significance in patients undergoing cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC). We included 436 patients who underwent CRS-HIPEC, categorized into low (0-3) and high (4-12) CONUT score groups, and performed logistic regression analysis to predict one-year mortality and postoperative morbidity. Our findings revealed that high CONUT scores correlate with increased one-year mortality (47.1% vs. 20.3%, p < 0.001) and morbidity (39.2% vs. 18.2%, p < 0.001) compared to low CONUT scores. Multivariable regression analysis confirmed high CONUT scores as independent predictors of one-year mortality (odds ratio: 2.253, 95% CI: 1.014-5.005, p = 0.046) and postoperative morbidity (odds ratio: 2.201, 95% CI: 1.066-4.547, p = 0.033). These results underscore the CONUT score's effectiveness as an independent marker for evaluating risks associated with CRS-HIPEC, emphasizing its potential to improve risk stratification.

Risk stratification model integrating nutritional and inflammatory factors for predicting 1-year mortality after valvular heart surgery: a retrospective cohort study

INTRODUCTION

Existing risk-scoring systems for cardiac surgery include only standard preoperative factors without considering nutritional and inflammatory status or intraoperative factors. The objective of this study was to develop a comprehensive prediction model for mortality incorporating nutritional, inflammatory, and perioperative factors in patients undergoing valvular heart surgery.

MATERIALS AND METHODS

In this retrospective review of 2046 patients who underwent valvular heart surgery, Cox and LASSO regression analyses were performed to identify independent prognostic factors for 1-year postoperative mortality among various perioperative factors known to affect prognosis, including objective nutritional and inflammatory indices. A novel nomogram model incorporating selected prognostic factors was developed, and its discrimination ability was evaluated using the C-index. The model was validated in internal and external cohorts.

RESULTS

The 1-year mortality rate after valvular heart surgery was 5.1% (105 of 2046 patients) and was significantly associated with several preoperative objective inflammatory and nutritional indices. Cox and LASSO analyses identified the following five independent prognostic factors for mortality: monocyte-to-lymphocyte ratio (an objective inflammatory index), EuroSCORE II, Controlling Nutritional Status score, cardiopulmonary bypass time, and number of erythrocyte units transfused intraoperatively. The nomogram model incorporating these five factors had a C-index of 0.834 (95% CI: 0.791-0.877), which was higher than that of EuroSCORE II alone (0.744, 95% CI: 0.697-0.791) ( P <0.001). The nomogram achieved good discrimination ability, with C-indices of 0.836 (95% CI: 0.790-0.878) and 0.727 (95% CI: 0.651-0.803) in the internal and external validation cohorts, respectively, and showed well-fitted calibration curves.

CONCLUSIONS

A nomogram model incorporating five inflammatory, nutritional, and perioperative factors, as well as EuroSCORE II, was a better predictor of 1-year mortality after valvular heart surgery than EuroSCORE II alone, with good discrimination and calibration power for predicting mortality in both internal and external validation cohorts.

The Prognostic Value of Johns Hopkins Hospital Nutrition Support Score in Older Patients Undergoing Cardiovascular Surgery

OBJECTIVES

Clarify the prognostic value of the Johns Hopkins Hospital Nutrition Support (JHHNS) score on clinical outcomes in older patients undergoing cardiovascular surgery with cardiopulmonary bypass (CPB).

DESIGN

A retrospective observational study.

SETTING

A teaching and university hospital and tertiary referral center.

PARTICIPANTS

The authors analyzed 328 older patients aged ≥65 who underwent cardiovascular surgery with CPB in 2020.

INTERVENTIONS

Malnutrition risk was identified by the JHHNS score calculated based on specific preoperative and intraoperative objective parameters. Patients were divided into low- and high-JHHNS groups. Early morbidity, including pneumonia, bacteremia, wound infection, cerebrovascular accident, gastrointestinal bleeding, acute kidney injury, delirium, requirement for extracorporeal membrane oxygenation, and readmission to the intensive care unit (ICU), were the primary outcome; whereas in-hospital mortality, length of ICU and hospital stay, duration of mechanical ventilation and short-term mortality were secondary outcomes. The independent risk factors for postoperative complications were analyzed by logistic regression analyses.

MEASUREMENTS AND MAIN RESULTS

The JHHNS score identified 21.0% of patients at risk for malnutrition. Patients in the high-JHHNS group had prolonged median length hospital stay (21 v 24 days, p = 0.002) and mechanical ventilation (13.0 v 16.0 hours, p = 0.038), and more patients in this subgroup stayed longer than 3 days in ICU (30.1% v 43.5%, p = 0.036). Besides, they experienced more postoperative complications (11.2% v 39.1%, p < 0.001). Furthermore, multivariate logistic regression analysis demonstrated that the JHHNS score independently predicted the risk of postoperative complications. No significant intergroup difference was observed for the short-term mortality.

CONCLUSIONS

The JHHNS score was an independent predictor for postoperative complications but did not significantly affect short-term mortality in older patients undergoing cardiovascular surgery with CPB.

Preoperative inflammatory markers predict postoperative clinical outcomes in patients undergoing heart valve surgery: A large-sample retrospective study

Introduction

Preoperative inflammation affects the postoperative outcomes of patients undergoing heart valve surgery. This study aimed to explore the role and predictive effects of preoperative inflammation on the primary outcomes after valvular cardiac surgery.

Methods

This retrospective study utilized a medical recording system to screen 5075 patients who underwent heart valve surgery. Data on the C-reactive protein (CRP) levels, erythrocyte sedimentation rate (ESR), and neutrophil-to-lymphocyte ratio (NLR) before heart valve surgery were collected from the hospital’s medical system. Postoperative hepatic insufficiency, acute kidney injury, heart failure, and myocardial damage were assessed using blood indicators. Patients with and without prolonged mechanical ventilation, extended intensive care unit stays, prolonged hospital stays, and death within 30 days after surgery (considered the primary outcome in this study) were compared. Group comparisons, receiver operating characteristic (ROC) curve analyses, and logistic analyses were performed to determine the associations between preoperative inflammation and outcomes after heart valve surgery.

Results

A total of 3249 patients were included in the analysis. Significant differences in CRP level, ESR, and NLR were found between patients with and without postoperative adverse outcomes. ROC analysis showed that CRP levels &gt;5 mg/L effectively predicted postoperative heart failure, and NLR &gt;3.5 had a good predictive effect on all-cause mortality within 30 days after surgery. Patients with CRP levels &gt;5 mg/L had a higher incidence of postoperative heart failure than other patients (20.7% vs. 12.6%, P&lt;0.001), with a relative risk of 1.447 (95% confidence interval: 1.155–1.814). Patients with NLR &gt;3.5 had a higher incidence of death within 30 days after surgery (5.3% vs. 1.2%, P&lt;0.001), with a relative risk of 3.236 (95% confidence interval: 1.773–5.906).

Conclusion

Preoperative inflammation can affect postoperative outcomes in patients undergoing heart valve surgery. CRP level &gt;5 mg/L and NLR &gt;3.5 can effectively predict postoperative heart failure and death within 30 days after surgery, respectively.

Development and Validation of Global Leadership Initiative on Malnutrition for Prognostic Prediction in Patients Who Underwent Cardiac Surgery

The Global Leadership Initiative on Malnutrition (GLIM) has achieved a consensus for the diagnosis of malnutrition in recent years. This study aims to determine the prognostic effect of the GLIM after cardiac surgery. A total of 603 patients in the training cohort and 258 patients in the validation cohort were enrolled in this study. Perioperative characteristics and follow-up data were collected. A nomogram based on independent prognostic predictors was developed for survival prediction. In total, 114 (18.9%) and 48 (18.6%) patients were defined as being malnourished according to the GLIM criteria in the two cohorts, respectively. Multivariate regression analysis showed that GLIM-defined malnutrition was an independent risk factor of total complication (OR 1.661, 95% CI: 1.063–2.594) and overall survival (HR 2.339, 95% CI: 1.504–3.637). The c-index was 0.72 (95% CI: 0.66–0.79) and AUC were 0.800, 0.798, and 0.780 for 1-, 2-, and 3-year survival prediction, respectively. The calibration curves of the nomogram fit well. In conclusion, GLIM criteria can efficiently identify malnutrition and has a prognostic effect on clinical outcomes after cardiac surgery. GLIM-based nomogram has favorable performance in survival prediction.

Concomitant Hepatorenal Dysfunction and Malnutrition in Valvular Heart Surgery: Long‐Term Prognostic Implications for Death and Heart Failure

Background

Strategies to improve long‐term prediction of heart failure and death in valvular surgery are urgently needed because of an increasing number of procedures globally. This study sought to report the prevalence, changes, and prognostic implications of concomitant hepatorenal dysfunction and malnutrition in valvular surgery.

Methods and Results

In 909 patients undergoing valvular surgery, 3 groups were defined based on hepatorenal function (the modified model for end‐stage liver disease excluding international normalized ratio score) and nutritional status (Controlling Nutritional Status score): normal hepatorenal function and nutrition (normal), hepatorenal dysfunction or malnutrition alone (mild), and concomitant hepatorenal dysfunction and malnutrition (severe). Overall, 32%, 46%, and 19% of patients were classified into normal, mild, and severe groups, respectively. Over a 4.1‐year median follow‐up, mild and severe groups incurred a higher risk of mortality (hazard ratio [HR], 3.17 [95% CI, 1.40–7.17] and HR, 9.30 [95% CI, 4.09–21.16], respectively), cardiovascular death (subdistribution HR, 3.29 [95% CI, 1.14–9.52] and subdistribution HR, 9.29 [95% CI, 3.09–27.99]), heart failure hospitalization (subdistribution HR, 2.11 [95% CI, 1.25–3.55] and subdistribution HR, 3.55 [95% CI, 2.04–6.16]), and adverse outcomes (HR, 2.11 [95% CI, 1.25–3.55] and HR, 3.55 [95% CI, 2.04–6.16]). Modified model for end‐stage liver disease excluding international normalized ratio and controlling nutritional status scores improved the predictive ability of European System for Cardiac Operative Risk Evaluation (area under the curve: 0.80 versus 0.73, P<0.001) and Society of Thoracic Surgeons score (area under the curve: 0.79 versus 0.72, P=0.004) for all‐cause mortality. One year following surgery (n=707), patients with persistent concomitant hepatorenal dysfunction and malnutrition (severe) experienced worse outcomes than those without.

Conclusions

Concomitant hepatorenal dysfunction and malnutrition was frequent and strongly linked to heart failure and mortality in valvular surgery.

Low-Density Lipoprotein Cholesterol and Mortality Risk in Elderly Patients Undergoing Valve Replacement Surgery: A Propensity Score Matching Analysis

BACKGROUND

The prognostic value of low-density lipoprotein cholesterol (LDL-C) in elderly patients is controversial. This study aimed to elucidate the relationship between the preoperative LDL-C and adverse outcomes in elderly patients undergoing valve replacement surgery (VRS).

METHODS

A total of 2,552 aged patients (age ≥ 60 years) undergoing VRS were retrospectively recruited and divided into two groups according to LDL-C level on admission: low LDL-C (<70 mg/dL, n = 205) and high LDL-C groups (≥ 70 mg/dL, n = 2,347). The association between the preoperative LDL-C with in-hospital and one-year mortality was evaluated by propensity score matching analysis and multivariate analysis.

RESULTS

The mean age was 65 ± 4 years and 1,263 (49.5%) were men. Patients in the low LDL-C group were significantly older (65.9 ± 4.6 vs. 64.9 ± 4.1, p = 0.002), with more male (65.4 vs. 48.1%, p < 0.001), higher alanine transaminase (ALT) (21 vs. 19, p = 0.001), lower serum albumin (35.3 ± 4.6 vs. 37.1 ± 4.1, p < 0.001), higher serum creatinine (92.2 ± 38.2 vs.84.6 ± 26.1, p = 0.006), lower lymphocyte count (1.7 ± 0.7 vs. 1.9 ± 0.6, p < 0.001), lower hemoglobin (121.9 ± 22.3 vs. 130.2 ± 16.5, p < 0.001), lower platelet count (171.3 ± 64.3 vs. 187.7 ± 58.7, p < 0.001), lower prognostic nutrition index (44 ± 6.2 vs. 46.7 ± 5.8, p < 0.001), and more severe tricuspid regurgitation (33.7 vs. 25.1%, p = 0.008). The rates of in-hospital death (11.2 vs. 3.7%, p < 0.001) and major adverse clinical events (17.6 vs. 9.6%, p < 0.001) were significantly higher in the low LDL-C group. The cumulative one-year death rate was significantly higher in the low LDL-C group (Log-Rank = 16.6, p < 0.001). After matching analysis and multivariate analysis, no association between LDL-C level and adverse outcomes was detected (all p > 0.05).

CONCLUSION

Our study did not support the negative relationship between LDL-C level and mortality risk in elderly patients undergoing VRS.

Malnutrition and Risk of Procedural Complications in Patients With Atrial Fibrillation Undergoing Catheter Ablation

Background: Little is known about the prognostic value of nutritional status among patients undergoing atrial fibrillation (AF) catheter ablation (AFCA). We compared the risk of procedure-related complications and long-term rhythm outcomes of AFCA according to nutritional status.

Methods: We included 3,239 patients undergoing de novo AFCA in 2009-2020. Nutritional status was assessed using the controlling nutritional status (CONUT) score. The association between malnutrition and the risk of AFCA complications or long-term rhythm outcomes was evaluated. We validated the effects of malnutrition using an external cohort of 360 patients undergoing AFCA in 2013-2016.

Results: In the study population (26.8% women, median age: 58 years), 1,005 (31.0%) had malnutrition (CONUT scores ≥ 2); 991 (30.6%) had mild (CONUT 2–4) and 14 (0.4%) had moderate-to-severe (CONUT ≥ 5) malnutrition. The overall complication rates after AFCA were 3.3% for normal nutrition, 4.2% for mild malnutrition, and 21.4% for moderate-to-severe malnutrition. Moderate-to-severe malnutrition [odds ratio (OR) 6.456, 95% confidence interval (CI) 1.637-25.463, compared with normal nutrition], older age (OR 1.020 per 1-year increase, 95% CI 1.001-1.039), female sex (OR 1.915, 95% CI 1.302-2.817), and higher systolic blood pressure (OR 1.013 per 1-mmHg increase, 95% CI 1.000-1.026) were independent predictors for the occurrence of complications. In the validation cohort, malnutrition (CONUT ≥ 2) was associated with a 2.87-fold higher risk of AFCA complications (95% CI 1.174-7.033). The association between malnutrition and a higher risk of AFCA complications was consistently observed regardless of body mass index and sex. Malnutrition did not affect rhythm outcomes during the median follow-up of 40 months (clinical recurrence: 37.0% in normal nutrition vs. 36.5% in malnutrition).

Conclusion: Malnutrition, which is common in patients undergoing AFCA, was associated with a substantially higher risk for complications after AFCA.