Impact of Geriatric Nutritional Risk Index on cardiovascular outcomes in patients with stable coronary artery disease

Prognostic impact of malnutrition in patients with coronary artery disease: a systematic review and meta-analysis

CONTEXT

Conflicting predictions of malnutrition for the long-term prognosis of coronary artery disease (CAD) exist.

OBJECTIVE

This study aimed to investigate the relationship between malnutrition and long-term prognosis of patients with CAD.

DATA SOURCES

Four databases were searched for articles from February 11, 1936, to September 10, 2022.

DATA EXTRACTION

Cohort studies adjusting for multiple cardiovascular risk factors with data on CAD and malnutrition were included. Malnutrition was measured and defined by different nutritional evaluation tools. The hazard ratios (HRs) and confidence intervals (CIs) for all-cause mortality and major adverse cardiovascular events (MACEs) were synthesized. Subgroup analyses were performed based on study design, assessment tools, ethnicity/race, follow-up, sample size, and types of CAD. Meta-regression was used to compare whether the effect sizes of the 2 subgroups were statistically significant.

DATA ANALYSIS

A total of 30 cohort studies were included, totaling 81 361 participants with CAD. Nutritional evaluation tools, including the Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status (CONUT), Nutritional Risk Screening 2002, Mini-Nutritional Assessment, and Prognostic Nutritional Index, were used. Malnutrition increased all-cause mortality (HR = 1.72; 95% CI: 1.53, 1.93) and MACEs (HR = 1.47; 95% CI: 1.35, 1.60) in patients with CAD. Subgroup analysis revealed the results were consistent across study design, ethnicity/race, follow-up, sample size, and types of CAD. Subgroup analyses and meta-regression revealed that malnutrition was associated with a higher risk of all-cause mortality (HR = 2.26; 95% CI: 1.91, 2.68) and MACEs (HR = 2.28; 95% CI: 1.69, 3.08) in patients with stable CAD than those with other types of CAD. Meta-regression revealed that the GNRI (HR = 2.20; 95% CI: 1.65, 2.93) was more effective than CONUT (HR = 1.47; 95% CI: 1.21, 1.78) in predicting all-cause mortality.

CONCLUSION

Malnutrition independently increased all-cause mortality by 72% and MACEs by 47% in patients with CAD, especially with stable CAD. The GNRI is a more effective nutritional evaluation tool than CONUT in predicting all-cause mortality.

Ischemic cardio-cerebrovascular disease and all-cause mortality in Chinese elderly patients: a propensity-score matching study

BACKGROUND

Ischemic cardio-cerebrovascular disease is the leading cause of mortality worldwide. However, studies focusing on elderly and very elderly patients are scarce. Hence, our study aimed to characterize and investigate the long-term prognostic implications of ischemic cardio-cerebrovascular diseases in elderly Chinese patients.

METHODS

This retrospective cohort study included 1026 patients aged ≥ 65 years who were categorized into the mono ischemic cardio-cerebrovascular disease (MICCD) (either coronary artery disease or ischemic stroke/transient ischemic attack) (n = 912) and the comorbidity of ischemic cardio-cerebrovascular disease (CICCD) (diagnosed with both coronary artery disease and ischemic stroke/transient ischemic attack at admission) (n = 114). The primary outcome was all-cause death. The mortality risk was evaluated using the Cox proportional hazards risk model with multiple adjustments by conventional and propensity-score-based approaches.

RESULTS

Of the 2494 consecutive elderly patients admitted to the hospital, 1026 (median age 83 years [interquartile range]: 76.5-86.4; 94.4% men) met the inclusion criteria. Patients with CICCD consisted mostly of very elderly (79.2% vs. 66.1%, P < 0.001) individuals with a higher burden of comorbidities. Over a median follow-up of 10.4 years, 398 (38.8%) all-cause deaths were identified. Compared with the MICCD group, the CICCD group exhibited a higher adjusted hazard ratio (HR) (95% confidential interval, CI) of 1.71 (1.32-2.39) for long-term mortality after adjusting for potential confounders. The sensitivity analysis results remained robust. After inverse probability of treatment weighting (IPTW) modeling, the CICCD group displayed an even worse mortality risk (IPTW-adjusted HR: 2.07; 95% CI 1.47-2.90). In addition, anemia (adjusted HR: 1.48; 95% CI 1.16-1.89) and malnutrition (adjusted HR: 1.43; 95% CI 1.15-1.78) are also independent risk factors for all-cause mortality among elderly and very elderly patients.

CONCLUSIONS

Our results thus suggest that elderly patients with ischemic cardio-cerebrovascular disease and anemia or malnutrition may have higher mortality, which may be predicted upon admission. These findings, however, warrant further investigation.

Nutritional Status and Recurrent Major Cardiovascular Events Following Acute Myocardial Infarction-A Follow-Up Study in a Primary Percutaneous Coronary Intervention Center

BACKGROUND

Acute myocardial infarction is often accompanied by malnutrition, which is associated with an imbalance between catabolic and anabolic processes. This ultimately leads to cardiac cachexia, which worsens the patient's prognosis. We aimed to assess the correlation between nutritional status, assessed using the controlling nutritional status (CONUT) score, and the rate of major cardiovascular adverse events (MACE).

METHODS

The present investigation was a non-randomized, prospective, observational study in which 108 patients with acute myocardial infarction were included. Nutritional status was assessed using the CONUT score. Based on the CONUT score, the patients were divided as follows: Group 1-normal or mild nutritional status (CONUT < 3 points, n = 76), and Group 2-moderate to severe nutritional deficiency (CONUT ≥ 3 points, n = 32). Demographic, echocardiographic, and laboratory parameters were obtained for all patients, as well as the MACE rate at 1 and 3 months of follow-up.

RESULTS

The MACE occurred more frequently in patients with impaired nutritional status at both 1-month follow-up (46.9% versus 9.2%; p < 0.0001) and 3-month follow-up (68.8% versus 10.5%; p < 0.0001). In terms of cardiovascular events, patients with poor nutritional status, with a CONUT score ≥ 3, presented more frequent non-fatal myocardial infarction, stroke, revascularization procedure, and ventricular arrhythmia. Also, the number of cardiovascular deaths was higher in the undernourished group.

CONCLUSIONS

This study found that patients with poor nutritional status experienced inflammatory status, frailty, and cardiovascular events more often than those with normal nutritional status at 1-month and 3-month follow-up after an acute myocardial infarction.

Combination of the glycated hemoglobin levels and prognostic nutritional index as a prognostic marker in patients with acute coronary syndrome and type 2 diabetes mellitus

BACKGROUND

Increased susceptibility to malnutrition and inadequate glycemic control are frequently observed in diabetic patients with coronary artery disease. The assessment of malnutrition is performed using the prognosis nutritional index (PNI). The inadequate glycemic control is measured using glycated hemoglobin (HbA1c). However, the combined effect of PNI and HbA1c on the prognosis in diabetic patients with coronary artery disease remains unknown.

METHODS

A study was conducted at Beijing Anzhen Hospital and included 2,005 patients diagnosed with type 2 diabetes mellitus (T2DM) accompanied by acute coronary syndrome (ACS) who underwent percutaneous coronary intervention (PCI) from September 2021 to January 2022. Based on the median PNI and HbA1c, we categorized the patients into four groups including high (H)-PNI/low (L)-HbA1c, H-PNI/H-HbA1c, L-PNI/L-HbA1c, and L-PNI/H-HbA1c. Major adverse cardiac and cerebrovascular events (MACCE) were the primary outcome, including all-cause mortality, nonfatal myocardial infarction (MI), and nonfatal strokes.

RESULTS

Throughout a median follow-up of 16.3 months, 73 patients had MACCE, which comprised 36 cases of all-cause mortality. In comparison to the H-PNI, the L-PNI showed an obvious rise in MACCE and all-cause mortality (log-rank P = 0.048 and 0.021, respectively) among the H-HbA1c group. Compared to the other groups, the L-PNI/H-HbA1c group exhibited the greatest risk of MACCE (adjusted hazard ratio [aHR]: 2.50, 95% confidence interval [CI] 1.20-5.23, P = 0.014) and all-cause mortality (HR: 3.20, 95% CI 1.04-9.82, P = 0.042). With the addition of PNI, MACCE and all-cause mortality prediction models performed significantly better in patients with ACS and T2DM after PCI, particularly in those with H-HbA1c levels.

CONCLUSIONS

The combination of L-PNI and H-HbA1c is a prognostic marker for MACCE and all-cause mortality in patients diagnosed with ACS and T2DM who underwent PCI. The PNI can serve as an assessment tool of malnutrition in patients with ACS and T2DM accompanied by H-HbA1c who underwent PCI. Therefore, monitoring the long-term change of the PNI deserves attention in clinical practice.

Comparative analysis of four nutritional scores predicting the incidence of MACE in older adults with acute coronary syndromes after PCI

To determine the most appropriate nutritional assessment tool for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI from four nutritional assessment tools including PNI, GNRI, CONUT, and BMI. Consecutive cases diagnosed with acute coronary syndrome (ACS) and underwent percutaneous coronary intervention (PCI) in the Department of Cardiovascular Medicine of the Air force characteristic medical center from 1 January 2020 to 1 April 2022 were retrospectively collected. The basic clinical characteristics and relevant test and examination indexes were collected uniformly, and the cases were divided into the MACE group (174 cases) and the non-MACE group (372 cases) according to whether a major adverse cardiovascular event (MACE) had occurred within 1 year. Predictive models were constructed to assess the nutritional status of patients with the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling nutritional status (CONUT) scores, and Body Mass Index (BMI), respectively, and to analyze their relationship with prognosis. The incremental value of the four nutritional assessment tools in predicting risk was compared using the Integrated Discriminant Improvement (IDI) and the net reclassification improvement (NRI). The predictive effect of each model on the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI was assessed using area under the ROC curve (AUC), calibration curves, decision analysis curves, and clinical impact curves; comparative analyses were performed. Among the four nutritional assessment tools, the area under the curve (AUC) was significantly higher for the PNI (AUC: 0.798, 95%CI 0.755-0.840 P < 0.001) and GNRI (AUC: 0.760, 95%CI 0.715-0.804 P < 0.001) than for the CONUT (AUC: 0.719,95%CI 0.673-0.765 P < 0.001) and BMI (AUC: 0.576, 95%CI 0.522-0.630 P < 0.001). The positive predictive value (PPV) of PNI: 67.67% was better than GNRI, CONUT, and BMI, and the negative predictive value (NPV): of 83.90% was better than CONUT and BMI and similar to the NPV of GNRI. The PNI, GNRI, and CONUT were compared with BMI, respectively. The PNI had the most significant improvement in the Integrated Discriminant Improvement Index (IDI) (IDI: 0.1732, P < 0.001); the PNI also had the most significant improvement in the Net Reclassification Index (NRI) (NRI: 0.8185, P < 0.001). In addition, of the four nutritional assessment tools used in this study, the PNI was more appropriate for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI.

The ability of the geriatric nutritional risk index to predict the risk of heart diseases in Korean adults: a Korean Genome and Epidemiology Study cohort

Introduction

The predictive ability of nutritional risk index on cardiovascular outcomes in middle-aged and non-hospitalized adults has not yet been reported. This study investigated whether the Geriatric Nutritional Risk Index (GNRI), an index for assessing the risk of developing malnutrition, could predict heart disease in middle-aged Korean adults.

Methods

The cohort used in this study consisted of 3,783 participants selected from 10,030 Korean adults who participated in the Ansan-Ansung cohort study as part of the Korean Genome and Epidemiology Study. The GNRI was determined based on serum albumin level, proportion of current weight, and ideal body weight. Participants were then divided into two groups: GNRI ≤98 and > 98, which corresponded to the risk of malnutrition and normal, respectively. The major outcome of this study was coronary artery disease (CAD) or congestive heart failure (CHF) during a 15-year-follow period.

Results

During the follow-up period spanning 2004-2018, 136 events of heart disease occurred. Using a Kaplan-Meier analysis, event-free rates were found to be associated with 90.5% on a GNRI ≤98 and 96.6% on a GNRI >98 (p < 0.0009). GNRI ≤98 showed a 3.2-fold (hazard ratio, 3.22; 95% credit interval, 1.49-6.96; p = 0.0029) increase in the incidence of heart disease, including CAD or CHF, compared with GNRI >98, after controlling for potential confounders.

Conclusion

Malnutrition risk confers a significantly increased risk for heart disease in middle-aged Koreans. Further studies with larger cohorts are needed to verify the efficacy of the GNRI in predicting disease risk in adults with pre-disease.

Undernutrition Severity Is Associated With Worse Outcomes in Patients With Acute Myocardial Infarction

Malnutrition has been associated with inferior outcomes in patients admitted with acute myocardial infarction (AMI). However, there is a lack of data to assess if the degree of malnutrition correlates with outcome severity. We used the Nationwide Readmission Database for 2016 to 2019 in our cross-sectional study. First, we extracted all cases older than 18 years that include a primary diagnosis of AMI. Appropriate survey and domain analyses were applied to obtain the national estimates using Statistical Analysis Software 9.4. We identified 2,280,393 discharges for AMI. Malnutrition was present in 4% of the study cohort (or 89,490 cases). Half of the patients with malnutrition (or 44,919) had moderate-to-severe malnutrition. The other 44,371 (or 50%) had a milder degree of malnutrition. Patients with malnutrition were younger than those without malnutrition (mean age 72 vs 75 years, p <0.001) and were more often women (48% vs 37%, p <0.001). Patients with malnutrition had a higher prevalence of underlying heart failure, dementia, coagulopathy, and chronic (liver, renal, and lung) diseases (p <0.001). Patients with malnutrition also had a significantly higher inpatient mortality (12.5% vs 4.6%, p <0.001), length of stay (mean of 13 vs 7 days, p <0.001), and 30-day all-cause readmission rates (19% vs 13%, p <0.001). Inpatient mortality on readmission was also higher in those with malnutrition (2% vs 0.6%, p <0.001). The univariate analysis showed that the severity of malnutrition also correlated with a higher inpatient mortality (odds ratio [OR] 2.34 [2.24 to 2.46] for mild malnutrition and 3.65 [3.49 to 3.82] for advanced malnutrition). After adjusting for age, gender, heart failure, dementia, coagulopathy, chronic (liver, renal, and lung) diseases, and history of cardiovascular revascularization, the presence of malnutrition and the severity of malnutrition continued to be associated with a higher inpatient mortality than those without malnutrition (OR 1.20 [1.14 to 1.26] for mild malnutrition and OR 1.69 [1.61 to 1.78] for more severe malnutrition). In conclusion, underlying malnutrition is associated with worse outcomes in patients hospitalized with AMI. The severity of malnutrition also correlates with worse outcomes.

Geriatric nutritional risk index was associated with in-hospital mortality among cardiac intensive care unit patients

Background

Identifying risk factors associated with cardiac intensive care unit (CICU) patients' prognosis can help clinicians intervene earlier and thus improve their prognosis. The correlation between the geriatric nutrition risk index (GNRI), which reflects nutritional status, and in-hospital mortality among CICU patients has yet to be established.

Method

The present study retrospectively enrolled 4,698 CICU patients. Based on the nutritional status, the participants were categorized into four groups. The primary endpoint was in-hospital mortality. The length of hospital stay and length of CICU stay were the secondary endpoints. To explore the correlation between nutritional status and in-hospital mortality, a logistic regression analysis was conducted. The nonlinear associations of GNRI with in-hospital mortality were evaluated using restricted cubic spline (RCS). Furthermore, subgroup analyses were conducted to evaluate the effect of the GNRI on in-hospital mortality across different subgroups, with calculation of the p for interaction.

Result

A higher risk of malnutrition was significantly linked to an increased incidence of in-hospital mortality (High risk vs. No risk: 26.2% vs. 4.6%, p < 0.001), as well as a longer length of hospital stay (High risk vs. No risk: 15.7, 9.1-25.1 vs. 8.9, 6.9-12.9, p < 0.001) and CICU stay (High risk vs. No risk: 6.4, 3.8-11.9 vs. 3.2, 2.3-5.1, p < 0.001). An elevated GNRI was significantly associated with an increased risk of in-hospital mortality even after controlling for pertinent confounding factors (High risk vs. No risk: OR, 95% CI: 2.37, 1.67-3.37, p < 0.001, p for trend <0.001). Additionally, the RCS model showed a linear relationship between GNRI and in-hospital mortality, with the risk of in-hospital mortality significantly decreasing as GNRI increased (non-linear p = 0.596). Furthermore, in the subgroups of hypertension, ventricular arrhythmias, cardiac arrest, shock, and chronic kidney disease, there was a significant interaction between nutritional status and in-hospital mortality.

Conclusion

Among CICU patients, a low GNRI was a significant predictor of in-hospital mortality. Furthermore, patients with a higher risk of malnutrition, as indicated by low GNRI values, experienced significantly longer hospital and CICU stays.

Association of a novel nutritional index with stroke in Chinese population with hypertension: Insight from the China H-type hypertension registry study

Objective

The abbreviated TCB index (TCBI) is a novel indicator of nutritional status, calculated by multiplying the serum values of triglycerides (TG), total serum cholesterol (TC), and body weight. The research on the relationship between this index and stroke is limited. We aimed to investigate the association between TCBI and stroke in Chinese hypertensive patients.

Methods and results

A total of 13,358 adults with hypertension from the China H-type Hypertension Registry Study were enrolled. The TCBI was calculated as TG (mg/dL) * TC (mg/dL) * body weight (kg)/1,000. The primary outcome was an incidence of stroke. Multivariable adjusted models revealed an inverse association between TCBI and the prevalence of stroke. In the fully adjusted model, the results showed that the prevalence of stroke decreased by 13% (OR, 0.87; 95% CI, 0.78-0.98, p = 0.018) per SD increment of LgTCBI. When TCBI was assessed as a categorical variable, compared with those in group Q4 (TCBI ≥ 2,399), the participants in group Q3 (TCBI ≥ 1,476 and <2,399), group Q2 (TCBI ≥ 920 and <1,476), and group Q1 (TCBI < 920) had increases in stroke prevalence of 42% (OR, 1.42; 95% CI, 1.13-1.80; p-value = 0.003), 38% (OR, 1.38; 95% CI, 1.07-1.80; p-value = 0.014), and 68% (OR, 1.68; 95% CI, 1.24-2.27; p-value = 0.001), respectively. Subgroup analysis showed an interaction between age and TCBI and stroke (age < 60 years OR, 0.69; 95% CI, 0.58-0.83; vs. age ≥ 60 years OR, 0.95; 95% CI, 0.84-1.07; P for interaction = 0.001).

Conclusion

We found an independent negative association between TCBI and the prevalence of stroke, especially in hypertensive patients aged < 60 years.

Geriatric nutritional risk index predicts all-cause mortality in the oldest-old patients with acute coronary syndrome: A 10-year cohort study

Background and objective

Nutritional status assessment in acute coronary syndrome (ACS) patients has been neglected for a long time. The geriatric nutritional risk index (GNRI) is a sensitive indicator for assessing the nutritional status of the elderly. This study aims to explore the association between GNRI and all-cause mortality in the oldest-old patients with ACS.

Methods

The patients who met the inclusion criteria were consecutively enrolled from January 2006 to December 2012. Clinical data were collected on admission, and all subjects were followed after being discharged. The nutritional status was evaluated using GNRI. The relationship between GNRI and all-cause mortality was assessed by using different analyses.

Results

A total of 662 patients with a mean age of 81.87 ± 2.14 years old were included in our study, and followed (median: 63 months, IQR 51-71). Patients whose GNRI ≤ 98 were reported as at risk of malnutrition (31.11%, n = 206). In multivariable analysis, we found that for each SD increase in GNRI, the risk of all-cause mortality lowered by 23%, and the HR for GNRI ≤ 98 was 1.39 (95% CI 1.04-1.86). After stratifying patients into three groups by tertiles of GNRI, we found that the HRs for tertile 2 and tertile 3 were 1.49 (95% CI 1.02-2.19) and 1.74 (95% CI 1.22-2.50), respectively. The trend test revealed a dose-response relationship between GNRI and all-cause mortality in the oldest-old with ACS. Lastly, in subgroup analyses, we found a reliable association between GNRI and all-cause mortality.

Conclusion

Malnutrition is common in the oldest-old patients with ACS, and GNRI could predict their long-term all-cause mortality in a dose-dependent manner. GNRI may be a prospective index for risk-stratification and secondary-prevention in the oldest-old patients with ACS.

Impact of the risk of malnutrition on bleeding, mortality, and ischemic events in patients with acute myocardial infarction

BACKGROUND & AIMS

Data regarding the relationship between malnutrition and clinical outcomes of acute myocardial infarction (AMI) is limited. The study aims to evaluate the clinical impact of malnutrition in AMI patients after percutaneous coronary intervention (PCI).

METHODS AND RESULTS

The COREA-AMI registries identified 10,161 AMI patients who underwent PCI from January 2004 to August 2014. Patients with geriatric nutritional risk index (GNRI) scores of <82, 82 to <92, 92 to <98, and ≥98 were categorized as having severe, moderate, mild malnutrition risk, and absence of risk, respectively. Associations of GNRI with Bleeding Academic Research Consortium (BARC) 3 or 5 bleeding, all-cause death, and major cardiovascular events (MACEs; a composite of cardiovascular death, myocardial infarction, or ischemic stroke) were evaluated. Over 50% of AMI patients were malnourished, with 25.0%, 22.7%, and 4.9% having mild, moderate, and severe malnutrition risks, respectively. Over a median 4.9-year follow-up, patients with malnutrition risk had higher risks of BARC 3 or 5 bleeding (adjusted hazard ratios [aHRs], 1.27, 1.55, and 2.02 for mild, moderate, and severe, respectively; p < 0.001), all-cause death (aHRs, 1.26, 1.46, and 1.85 for mild, moderate, and severe, respectively; p < 0.001), and MACEs (aHRs, 1.14, 1.32, and 1.67 for mild, moderate, and severe, respectively; p < 0.001) than patients without risk.

CONCLUSION

Elevated malnutrition risk was common among AMI patients undergoing PCI and was strongly associated with a higher risk of major bleeding, all-cause death, and major ischemic events.

Risk Factors and Outcomes of Protein-Calorie Malnutrition in Chronic Heart Failure Patients Undergoing Elective Cardiac Surgery

INTRODUCTION

Chronic heart failure (CHF) patients are often malnourished. Our aim was to determine the effect of protein-calorie malnutrition (PCM) on in-hospital outcomes in CHF patients following elective cardiac surgery and to identify risk factors for PCM in this patient population.

METHODS

A retrospective analysis of the National Inpatient Sample (NIS) database was conducted from 2016 to 2018. In-hospital outcomes in adult patients with CHF undergoing elective coronary artery bypass graft (CABG) with cardiopulmonary bypass-assist or cardiac valve replacement surgeries were analyzed. Propensity-score matching was used to match CHF patients with and without PCM and followed by logistic regression analysis. A multivariate logistic regression model was used to identify the risk factors associated with PCM in this population.

RESULTS

In total 25,940 CHF patients were identified, of which 6,271 underwent elective CABG and 19,669 underwent valve replacement surgeries. The prevalence of PCM in CHF patients undergoing CABG and valve replacement was 3.9% and 2.9%, respectively. CHF patients with PCM had significantly higher risk of in-hospital mortality, post-operative cardiac and gastrointestinal complications compared to CHF patients without PCM. The mean hospital length of stay was twice as high in the PCM group (mean days: 18.6 vs 9.9). Female gender, Black race (vs White race), a high Charlson Comorbidity Index, Medicare/Medicaid insurance status (vs private insurance), and CHF (systolic and combined systolic and diastolic) were independently associated with significantly higher risk of PCM diagnosis.

CONCLUSIONS

CHF patients with PCM who undergo elective CABG or valve replacement surgeries are at a significantly higher risk of mortality, post-operative cardiac and gastrointestinal complications, and increased duration of hospital stay compared to those without PCM. Future prospective studies should assess the CHF patients who are at a higher risk of PCM and whether correcting pre-operative nutrition in this surgical population can improve outcomes following cardiac surgery.

The change in nutritional status is related to cardiovascular events in patients with pacemaker implantation: A 4-year follow-up study

Background

The aim of our study was to evaluate changes in nutritional status as measured by the prognostic nutritional index (PNI) and geriatric nutritional risk index (GNRI) scores, and their abilities to predict clinical prognosis in patients with pacemaker implantation (PMI).

Methods

A total of 595 patients who underwent permanent PMI from January 2011 to December 2020 were included. PNI and GNRI scores were separately calculated at the beginning day of PMI operation and at the end of 12-month follow-up, and their net changes (Δ) were calculated by PNI or GNRI scores at follow-up minus the corresponding scores on admission. The cohort patients were divided into low risk of malnutritional status (ΔPNI or ΔGNRI scores ≥ 0) and high risk of malnutritional status (ΔPNI or ΔGNRI scores < 0) groups. Primary outcome measure was a composite major adverse cardiovascular event (MCE), defined as heart failure hospitalization (HFH), myocardial infarction (MI), stroke, or death from any cause, presented as hazard ratios (HR) with 95% confidence intervals (CI) calculated by MCE in the crude or multivariate-adjusted Cox Proportional Hazards models. Receiver operating characteristic (ROC) curve analysis was used to compare the differential ability to predict incident MCEs betweenΔPNI andΔGNRI scores.

Results

In total, 16% of patients developed the MCE during the follow-up. The cumulative event rates determined by Kaplan–Meier analysis were significantly higher in the high risk of malnutritional patients compared to the low risk of malnutritional patients (P < 0.05). Adjusted multivariate analysis showed that decreased PNI scores (HR: 2.228, 95% CI: 1.482–3.350) and decreased GNRI scores (HR: 2.178, 95% CI: 1.439–3.295) were independently associated with favorable outcomes. ROC curve analysis revealed an area under curve (AUC) of 0.586 forΔPNI scores and AUC of 0.592 for ΔGNRI scores, but their predictive abilities were not statistically different.

Conclusion

Either positive change of PNI or GNRI scores were associated with reduced risk of MCEs in patients with PMI, and they have similar ability to predict clinical cardiometabolic risk. Additional enhancing nutritional status during follow-up may help to prevent unfavorable prognosis in clinical practices.

Relationship of body mass index to clinical outcomes after percutaneous coronary intervention

BACKGROUND

Elevated body mass index (BMI) demonstrates lower all-cause and cardiovascular mortalities compared with normal-weight or lean patients in chronic diseases. This study investigated relationships between BMI and clinical outcomes following percutaneous coronary intervention (PCI) in coronary artery disease (CAD) patients, together with the sex-specific impacts of BMI on mortality.

METHODS

We reviewed 1104 CAD patients who underwent PCI between 2006 and 2015. Patients were divided by BMI into three groups: lean, <18.5 kg/m² ; normal, 18.5-24.9 kg/m² ; and overweight/obese, ≥25 kg/m² . The primary endpoint was all-cause mortality, and the secondary endpoint was 3-point major adverse cardiovascular events (MACE).

RESULTS

Kaplan-Meier survival analysis demonstrated risks of all-cause death, and 3-point MACE were higher in lean patients compared with normal-weight and overweight/obese subjects (log-rank p < .001). Cox proportional hazard modelling showed overweight/obese was significantly associated with all-cause death (hazard ratio (HR) 0.68, 95% confidence interval (CI) 0.48-0.95; p = .03), and lean was significantly associated with 3-point MACE (HR 2.02, 95% CI 1.15-3.53; p = .01). Cox proportional hazard analysis with restricted cubic spline showed non-linear associations between BMI and both all-cause mortality and 3-point MACE (p for effect = .002 and = .003, respectively). No significant interaction was evident between sex and BMI for all-cause mortality (p for interaction = .104) or 3-point MACE (p for interaction =0.122).

CONCLUSIONS

Lean category was associated with adverse outcomes among CAD patients. An obesity paradox regarding the independent association of elevated BMI with reduced mortality after PCI is evident in both males and females.

A Comparative Study of Three Nutritional Risk/Screening Indices for Predicting Cardiac Events and Physical Functioning Among Patients with Acute Heart Failure

Undernutrition is very common among patients with heart failure (HF). This study evaluated the prognostic values of three nutritional risk/screening indices among patients with acute HF. We retrospectively calculated scores for 465 patients with acute HF using the Controlling Nutritional Status (CONUT) tool, the Geriatric Nutritional Risk Index (GNRI), and the Mini-Nutritional Assessment Short Form (MNA-SF). The outcomes of interest were the 1-year rate of cardiac events (cardiac-related death or HF-related readmission) and the Barthel index as an index of physical function during hospitalization. The CONUT, GNRI, and MNA-SF scores were significantly correlated, although the proportions of a normal nutritional state varied (CONUT: 18.3%, GNRI: 32.9%, and MNA-SF: 43.9%). Kaplan-Meier estimates revealed that cardiac events were more common among patients with undernutrition based on the CONUT score, and multivariable regression analysis revealed that only the CONUT score independently predicted poor outcomes. Furthermore, changes in the Barthel index during hospitalization were significantly correlated with the CONUT score but not with the GNRI and MNA-SF scores. In receiver operating characteristic analyses, the CONUT score had the most powerful predictive values on both the postdischarge incidence of cardiac events and the decline of physical function during hospitalization compared with the GNRI and the MNA-SF. These results indicate that the CONUT score might provide useful information for predicting poor outcomes in patients with acute HF.

Malnutrition in patients with coronary artery disease: Prevalence and mortality in a 46,485 Chinese cohort study

BACKGROUND AND AIMS

Malnutrition is associated with poor prognosis in a wide range of illnesses. However, its long-term prognostic impact in general coronary artery disease (CAD) patients is not well known. We aim to report the prevalence and long-term mortality of malnutrition in the whole general population.

METHODS AND RESULTS

In this retrospective cohort study, the controlling nutritional status (CONUT) score was applied to 46,485 consecutive patients undergoing coronary angiography (CAG) and diagnosed with CAD from January 2007 to July 2018. Patients were stratified as having no malnutrition (n = 19,780), mild (n = 21,092), moderate (n = 5286) and severe malnutrition (n = 327), based on CONUT score. Overall, mean age was 63.1 ± 10.7 years, and 75.8% of patients (n = 35,250) were male. 45.4% of patients were mildly malnourished and 12.1% were moderately or severely malnourished. During a median follow-up of 5.1 years (interquartile range: 3.0-7.7 years), 6093 (17.3%) patients died. After adjusting for confounders, malnutrition risk was associated with significantly increased risk for all-cause death (mild vs. normal, HR = 1.19,95% confidence interval [CI]: 1.12 to 1.28; moderate vs. normal, HR = 1.42,95% CI: 1.30 to 1.55; severe vs. Normal, HR = 1.95, 95% CI: 1.57 to 2.41) (p for trend<0.001). The similar result on all-cause mortality was also found in different subgroups stratified by gender, chronic kidney disease, anemia, percutaneous coronary intervention.

CONCLUSIONS

Malnutrition is a common complication among patients with CAD, and is strongly associated with increased mortality. Further studies need to explore the efficacy of nutritional interventions on long-term prognosis among CAD patients. This study was registered at Clinicaltrials.gov as NCT04407936.

Nutritional Risk Index Improves the GRACE Score Prediction of Clinical Outcomes in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Background: Malnutrition has been shown to be associated with adverse cardiovascular outcomes in many patient populations.

Aims: To investigate the prognostic significance of malnutrition as defined by nutritional risk index (NRI) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) and whether NRI could improve the GRACE score based prognostic models.

Methods: This study applied NRI among 1,718 patients with ACS undergoing PCI. Patients were divided into three nutritional risk groups according to their baseline NRI: no nutritional risk (NRI ≥ 100), mild nutritional risk (97.5 ≤ NRI <100), and moderate-to-severe nutritional risk (NRI <97.5). The primary endpoint was the composite of major adverse cardiovascular events (MACE), including all-cause death, non-fatal stroke, non-fatal myocardial infarction, or unplanned repeat revascularization.

Results: During a median follow-up of 927 days, 354 patients developed MACE. In the overall population, compared with normal nutritional status, malnutrition was associated with increased risk for MACE [adjusted HR for mild and moderate-to-severe nutritional risk, respectively: 1.368 (95%CI 1.004–1.871) and 1.473 (95%CI 1.064–2.041)], and NRI significantly improved the predictive ability of the GRACE score for MACE (cNRI: 0.070, P = 0.010; IDI: 0.005, P < 0.001). In the diabetes subgroup, malnutrition was associated with nearly 2-fold high adjusted risk of MACE, and the GRACE score combined with NRI appeared to have better predictive ability than that in the overall population.

Conclusion: Malnutrition as defined by NRI was independently associated with MACE in ACS patients who underwent PCI, especially in individuals with diabetes, and improved the predictive ability of the GRACE score based prognostic models.

Predictive Value of Geriatric Nutritional Risk Index in Patients With Coronary Artery Disease: A Meta-Analysis

Background: Low Geriatric Nutritional Risk Index has been identified as an index of impaired nutritional state. The objective of the meta-analysis was to assess the association of the Geriatric Nutritional Risk Index (GNRI) with adverse outcomes in patients with coronary artery disease (CAD).

Methods: Relevant studies were identified by comprehensively searching PubMed and Embase databases in May 2021. Studies assessing the association of GNRI with all-cause mortality or major adverse cardiovascular events (MACEs) in patients with CAD were included. The predictive value of GNRI was summarized by pooling multivariable adjusted risk ratios (RR) with 95% confidence intervals (CI) per GNRI point decrease or the lowest vs. the highest GNRI group.

Results: A total of eight studies involving 9277 patients with CAD were analyzed. Meta-analysis showed that the lowest GNRI was associated with a higher risk of all-cause mortality (RR 2.10; 95% CI 1.68–2.63) and MACEs (RR 2.84; 95% CI 1.56–5.16), respectively. Furthermore, per point decrease in GNRI was associated with 8 and 10% additional risk of all-cause mortality and MACEs. Subgroup analysis indicated that the value of low GNRI in predicting all-cause mortality was not affected by subtype of patients or follow-up duration.

Conclusion: Low GNRI score at baseline was associated with a higher risk of all-cause mortality and cardiovascular events in patients with CAD. The nutritional state estimated by the GNRI score could provide important predictive information in patients with CAD.

Prognostic impact of malnutrition on cardiovascular events in coronary artery disease patients with myocardial damage

BACKGROUND

Stable coronary artery disease (CAD) patients with myocardial damage have a poor prognosis compared to those without myocardial damage. Recently, malnutrition has been reported to affect the prognosis of cardiovascular diseases. However, the effects of malnutrition on prognosis of CAD patients with myocardial damage remains uncertain. We investigated the effects of malnutrition on prognosis of CAD patients with myocardial damage who received percutaneous coronary intervention (PCI).

METHODS

Subjects comprised 241 stable CAD patients with myocardial damage due to myocardial ischemia or infraction. Patients underwent successful revascularization for the culprit lesion by PCI using second-generation drug-eluting stents and intravascular ultrasound. The geriatric nutritional risk index (GNRI), which is widely used as a simple method for screening nutritional status using body mass index and serum albumin, was used to assess nutritional status. Associations between major cardiovascular and cerebrovascular events (MACCE) and patient characteristics were assessed.

RESULTS

Mean GNRI was 100 ± 13, and there were 55 malnourished patients (23%; GNRI < 92) and 186 non-malnourished patients (77%). MACCE occurred within 3 years after PCI in 42 cases (17%), including 34 deaths (14%), and the malnourished group showed a higher rate of MACCE (38%) compared with the non-malnourished group (11%, p < 0.001). Univariate Cox proportional hazards analyses showed that MACCE was associated with age [hazard ratio (HR), 1.04; 95% confidence interval (CI), 1.04-1.07; p = 0.004], prior heart failure (HR 2.35; 95% CI 1.10-5.01; p = 0.027), high-sensitivity C-reactive protein (HR 1.08; 95% CI 1.03-1.11; p < 0.001), hemodialysis (HR 2.63; 95% CI 1.51-4.58; p < 0.001) and malnutrition (HR 3.69; 95% CI 2.11-6.42; p < 0.001). Multivariate Cox proportional hazards analysis revealed hemodialysis (HR 2.17; 95% CI 1.19-3.93; p = 0.011) and malnutrition (HR 2.30; 95% CI 1.13-4.67; p = 0.020) as significantly associated with MACCE. Furthermore, Cox proportional hazards models using malnutrition and hemodialysis revealed that patients with malnutrition and hemodialysis were at greater risk of MACCE after PCI than patients with neither malnutrition nor hemodialysis (HR 6.91; 95% CI 3.29-14.54; p < 0.001).

CONCLUSIONS

In CAD patients with myocardial damage, malnutrition (GNRI < 92) represents an independent risk factor for MACCE. Assessment of nutritional status may help stratify the risk of cardiovascular events and encourage improvements in nutritional status.

Association Between Nutritional Indices and Long-Term Outcomes in Patients Undergoing Isolated Coronary Artery Bypass Grafting

Background It is well known that approximately 20% of patients who undergo cardiac surgery experience weight loss in postoperative period. However, there is a lack of data on postoperative consequences of malnutrition. This study aimed to investigate the relationship between nutritional status and long-term outcomes in patients undergoing isolated coronary artery bypass grafting (CABG). Material and methods A total of 586 patients who underwent isolated CABG in our center between January 2015 and March 2016 were included in this study. The primary outcome was major adverse cardiac and cerebrovascular events (MACCE) defined as a composite of all-cause death, non-fatal myocardial infarction (MI), and stroke. Patients were divided into two groups based on their MACCE outcomes. Prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and controlling nutritional status (CONUT) scores were used to show the nutritional status. Results The mean follow-up time of the whole study group was 38.08 ± 13.4 months. The follow-up time was 39 ± 13 months in patients with mortality, while it was 20 ± 15 months in those without mortality. The PNI and GNRI values were lower in patients with major adverse cardiac and cerebrovascular events (MACCE) compared to patients without MACCE. The median CONUT score was higher in patients with MACCE. Conclusion Our study showed that nutritional indices including PNI, CONUT, and GNRI were associated with long-term MACCE and mortality in patients who underwent isolated CABG. The use of these scores in order to predict prognosis in patients treated with CABG seems to be an applicable method in clinical practice.

Impact of objective nutritional indexes on 1-year mortality after transcatheter aortic valve implantation: a prospective observational cohort study

INTRODUCTION

The prognostic value of objective nutritional indexes has been demonstrated in many diseases. This study evaluated the prognostic value of these indexes in patients who underwent transcatheter aortic valve replacement (TAVI).

MATERIAL AND METHODS

Totally, 119 consecutive patients who underwent TAVI between January 2016 and December 2018 were evaluated. All patients were followed-up for one year. Objective nutritional index (geriatric nutritional risk index [GNRI], prognostic nutritional index [PNI]) and controlling nutritional status [CONUT]) scores were calculated before TAVI.

RESULTS

Mean age of the study population was 77.1 ± 7.8 years (59.7% female). During one-year follow-up, 31 (26.1%) deaths were observed. In a Kaplan-Meier analysis, mortality rates were significantly increased in patients with lower GNRI and PNI and higher CONUT scores (50.01% vs. 4.4%; p < .001, 48.1% vs. 15.2%; p < .001, 57.5% vs. 12.8%; p < .001, respectively). Pairwise comparisons of the ROC curves demonstrated that the GNRI score was a significantly better predictor of mortality than the PNI and CONUT scores (area under curve; 0.898, 0.664, and 0.722, respectively, for both; p < .001). According to Cox proportional hazard analyses, the GNRI (hazard ratio [HR]: 0.898) and STS (HR: 1.359) score were independently associated with increased 1-year mortality (for all p < .05).

CONCLUSION

The GNRI, PNI and CONUT scores were associated with 1-year all-cause mortality in patients who underwent TAVI. The predictive value of the GNRI score was significantly better than the PNI or CONUT scores. Assessment of the GNRI should be considered before TAVI.

Association between Geriatric Nutritional Risk Index and Post-Stroke Cognitive Outcomes

Background: It is not yet clear whether nutritional status is associated with post-stroke cognitive impairment (PSCI). We examined the geriatric nutritional risk index (GNRI) on the domain-specific cognitive outcomes 3 months after a stroke. Methods: A total of 344 patients with acute ischemic stroke were included for the analysis. The GNRI was calculated as 1.489 × serum albumin (g/L) + 41.7 × admission weight (kg)/ideal body weight (kg) and was dichotomized according to the prespecified cut-off points for no risk and any risks. The primary outcome was PSCI, defined as having adjusted z-scores of less than −2 standard deviations in at least one cognitive domain: executive/activation, memory, visuospatial and language. Multiple logistic regression and linear regression analyses were performed to investigate the association between the GNRI and cognitive outcomes. Results: Seventy (20.3%) patients developed PSCI 3 months after a stroke. The mean GNRI was 106.1 ± 8.6, and 59 (17.2%) patients had low (<98) GNRI scores. A low GNRI was independently associated with the PSCI after adjusting for age, sex, education, initial stroke severity, stroke mechanism and left hemispheric lesion (odds ratio, 2.04; 95% confidence interval, 1.00–4.14). The GNRI scores were also significantly associated with the z-scores from the mini-mental status examination and the frontal domain (β = 0.04, p-value = 0.03; β = 0.03, p-value = 0.03, respectively). Conclusions: A low GNRI was independently associated with the development of PSCI at 3 months after an ischemic stroke. The GNRI scores were specifically associated with the z-scores of the global cognition and frontal domain cognitive outcomes.

Mechanical Complications of Myocardial Infarction

In this retrospective observational study, we have examined the incidence, characteristics, and treatment of serious myocardial infarction (MI) -associated mechanical complications (MCs) occurring in Japanese patients in this era of percutaneous coronary intervention (PCI), focusing on frailty, nutrition, and clinical implication of surgery. Included were 883 patients who, having suffered an MI, had been admitted to Nihon University Hospital between January 2013 and April 2020. Fifteen (1.70%) of these patients had suffered a potentially catastrophic MC-ventricular free wall rupture (VFWR, n = 8), ventricular septal rupture (VSR, n = 6), or papillary muscle rupture (PMR, n = 1). Factors associated with the MCs were age, poor nutritional status, a high Killip class, delayed diagnosis of MI, a high lactate concentration, a low thrombolysis in myocardial infarction flow grade, and single-vessel disease. Thirty-day mortality among MC patients was 60% (9/15): 87.5% associated with VFWR, 33.3% associated with VSR and 0% associated with PMR. On adjusted multivariate analysis, occurrence of an MC was independently associated with 30-day mortality. Despite a high surgical risk (EuroSCORE II: 11.8 ± 4.7) with less frailty, 30-day mortality was lower among patients whose MC was treated surgically than among those whose MC was treated conservatively (40.0% versus 100.0%, respectively; P = 0.044).Our data suggest that surgical intervention can save patients with a life-threatening MI-associated MC and should be considered, if they are not particularly frail.

Predictive role of the modified Glasgow prognostic score for in-hospital mortality in stable acute pulmonary embolism

BACKGROUND AND IMPORTANCE

The modified Glasgow prognostic score (mGPS) has been reported to have a prognostic value in various patient populations. However, the prognostic significance of mGPS has not been studied inacute pulmonary embolism (APE).

OBJECTIVE

This study aimed to investigate the predictive value of mGPS on in-hospital mortality in patients with hemodynamically stableAPE.

METHODS

We retrospectively included 258 hemodynamically stableAPE patients. Clinical, echocardiographic, and laboratory data recorded on admission. The mGPS scored as 0, 1, or 2 based on the C-reactive protein (CRP) and albumin levels.

RESULTS

A total of 258hemodynamically stableAPE patients were included, and 28 (10.9%) died during the hospital stay. Compared with survivors, non-survivors were older, had higher N-terminal pro-B-type natriuretic peptide, CRP, creatinine, high-sensitive cardiac troponin T (hs-cTnT), and mGPS levels, and had higher pulmonary embolism severity index (PESI) at study entry. In the multivariate logistic regression analysis, NT-proBNP>2350pg/mL (OR: 2.180, 95% CI 1.102-5.213, p<0.001), hs-cTnT>21pg/mL (OR: 1.426, 95% CI 0.951-3.751, p=0.001), CRP>3.1mg/dL (OR: 1.567, 95% CI 1.072-4.429, p=0.001), PESI>139 (OR: 2.745, 95% CI 0.869-6.369, p=0.001), systolic blood pressure<100mmHg (OR: 3.465, 95% CI 0.867-8.934, p<0.001), mGPS=1 (OR: 2.120, 95% CI 1.089-3.754, p=0.011), and mGPS=2 (OR: 3.350, 95% CI 1.457-5.367, p<0.001) were independently associated with in-hospital mortality.

CONCLUSION

This study demonstrates the mGPS, which is a new and easily measurable marker, is a useful predictor in-hospital mortality in hemodynamically stableAPE.

Comparative analysis of three nutrition scores in predicting mortality after acute myocardial infarction

OBJECTIVE

We investigated the utility of nutrition scores in predicting mortality and prognostic importance of nutrition status using three different scoring systems in patients with acute myocardial infarction (AMI).

METHODS

In total, 1147 patients with AMI were enrolled in this study (72.5 % men; mean age 65.6 years). Patients were divided into three groups according to the geriatric nutritional risk index (GNRI); prognostic nutritional index (PNI); and triglycerides, total cholesterol, and body weight index(TCBI) scores as tertile: low (GNRI ≤ 103.8, n = 382), intermediate (103.8 < GNRI ≤ 112.3, n = 383), and high (GNRI > 112.3, n = 382) GNRI groups; low (PNI ≤ 50.0, n = 382), intermediate (50.0 < PNI ≤ 56.1, n = 383), and high (PNI > 56.1, n = 382) PNI groups; and low (TCBI ≤ 1086.4, n = 382), intermediate (1086.3 < GNRI ≤ 2139.1, n = 383), and high (TCBI > 2139.1, n = 382) TCBI groups.

RESULTS

In the GNRI, TCBI, and PNI groups, the cumulative incidence of all-cause death and major adverse cardiovascular events (MACEs) was significantly higher in the low score group, followed by the intermediate and high score groups. Moreover, both intermediate and low PNI groups had a similar cumulative incidence of all-cause death and MACE. The GNRI score (AUC 0.753, 95% CI 0.608~0.745, P = 0.009) had significantly higher areas under the curve (AUCs) than the TCBI (AUC 0.659, 95% CI 0.600~0.719, reference) and PNI (AUC 0.676, 95% CI 0.608~0.745, P = 0.669) scores.

CONCLUSIONS

Patients with low nutrition scores were at a higher risk of MACE and all-cause death than patients with high nutrition scores. Additionally, the GNRI had the greatest incremental value in predicting risks among the three different scoring systems used in this study.

Prognostic influence of objective nutritional indexes on mortality after surgical aortic valve replacement in elderly patients with severe aortic stenosis (from the nutrition-SAVR trial)

AIM

Several scoring systems, such as controlling nutritional status (CONUT) score, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI), have been previously described to show nutritional status. In the present study, we aimed to investigate the value of these scoring systems in predicting in-hospital and long-term mortality in patients undergoing surgical aortic valve replacement (SAVR).

METHODS

PNI, GNRI, and CONUT were determined using the receiver operator characteristics curve analysis in 150 consecutive elderly patients (age: 70 (66-74) years, male: 78) who underwent SAVR due to degenerative severe aortic stenosis (AS). Patients were divided into two groups according to cutoff values from these indexes.

RESULTS

During the 50 ± 31 months follow-up period, a total of 36 (24%) patients died. 30-day mortality, 1-year mortality, and total mortality were significantly higher in lower PNI, lower GNRI, and higher CONUT groups. PNI cutoff value was 49.2, GNRI cutoff value was 102.5, and CONUT cutoff value was 1.5. PNI ≤ 49.2, GNRI ≤ 102.5, and CONUT > 1.5 values were found to be independent predictors of total mortality even after risk adjustment. In addition, in the mortality group, PNI (53.7 ± 5.9 vs. 47.4 ± 6.3; p < .001) and GNRI (108 ± 10 vs. 99 ± 6.3); p < .001) were significantly lower, while CONUT score (1 [0-2] vs. 2 [0.2-3]; p < .001) was significantly higher.

CONCLUSION

Objective nutritional indexes including CONUT score, PNI, and GNRI are important prognostic factors and those indexes should be part of frailty assessment in patients with severe AS.

Nutritional status and severity of coronary artery disease

OBJECTIVE

The aim of this study is to evaluate the association between Nutritional Risk Index (NRI), a simple tool to assess nutritional status, and coronary artery disease severity and complexity in patients undergoing coronary angiography.

METHODS

This study is a retrospective analysis of 822 patients undergoing coronary angiography. Patients with previous revascularization were excluded. Gensini and SYNTAX scores were calculated according to the angiographic images to determine atherosclerosis severity. NRI was calculated as follows: NRI = [15.19 × serum albumin (g/dl)] + [41.7 × (body weight/ideal body weight)]. In patients ≥65 years of age, Geriatric NRI (GNRI) was used instead of NRI. GNRI was calculated as follows: GNRI = [14.89 × serum albumin (g/dl)] + [41.7 × (body weight/ideal body weight)]. Patients were then divided into three groups as previously reported: NRI < 92, NRI 92-98 and NRI > 98. Gensini and SYNTAX scores were compared between three groups.

RESULTS

The mean age of study population was 61.9 ± 11.1 years. NRI < 92, 92-98, and >98 was measured in 212, 321 and 289 patients, respectively. There was no difference regarding to sex, BMI, smoking, hypertension and diabetes mellitus between three groups. Patients with NRI < 92 had the highest mean Gensini score than the patients with NRI 92-98 and NRI > 98 (38.0 ± 40.6 vs. 31.17 ± 42.4 vs. 25.8 ± 38.4, P = 0.005). Also patients with NRI < 92 had the highest mean SYNTAX score than the patients with NRI 92-98 and NRI > 98 (11.8 ± 12.9 vs. 9.3 ± 12.4 vs. 7.7 ± 11.8, P = 0.001). Also, Gensini score of ≥20 and high SYNTAX score of ≥33 were associated with lower NRI (P < 0.001 and P < 0.001, respectively).

CONCLUSION

In our study, nutritional status evaluated by the NRI was associated with more extensive and complex coronary atherosclerosis in patients undergoing coronary angiography.

Prognostic Effect of a Novel Simply Calculated Nutritional Index in Acute Decompensated Heart Failure

The TCB index (triglycerides × total cholesterol × body weight), a novel simply calculated nutritional index based on serum triglycerides (TGs), serum total cholesterol (TC), and body weight (BW), was recently reported to be a useful prognostic indicator in patients with coronary artery disease. Thus, this study aimed to investigate the relationship between TCBI and long-term mortality in acute decompensated heart failure (ADHF) patients. Patients with a diagnosis of ADHF who were consecutively admitted to the cardiac intensive care unit in our institution from 2007 to 2011 were targeted. TCBI was calculated using the formula TG (mg/dL) × TC (mg/dL) × BW (kg)/1000. Patients were divided into two groups according to the median TCBI value. An association between admission TCBI and mortality was assessed using univariable and multivariable Cox proportional hazard analyses. Overall, 417 eligible patients were enrolled, and 94 (22.5%) patients died during a median follow-up period of 2.2 years. The cumulative survival rate with respect to all-cause, cardiovascular, and cancer-related mortalities was worse in patients with low TCBI than in those with high TCBI. In the multivariable analysis, although TCBI was not associated with cardiovascular and cancer mortalities, the association between TCBI and reduced all-cause mortality (hazard ratio: 0.64, 95% confidence interval: 0.44-0.94, p = 0.024) was observed. We computed net reclassification improvement (NRI) when TCBI or Geriatric Nutritional Risk Index (GNRI) was added on established predictors such as hemoglobin, serum sodium level, and both. TCBI improved discrimination for all-cause mortality (NRI: 0.42, p < 0.001; when added on hemoglobin and serum sodium level). GNRI can improve discrimination for cancer mortality (NRI: 0.96, p = 0.002; when added on hemoglobin and serum sodium level). TCBI, a novel and simply calculated nutritional index, can be useful to stratify patients with ADHF who were at risk for worse long-term overall mortality.

Current Understanding of the Role of Frailty in Cardiovascular Disease

The elderly population is increasing because of increasing life expectancy, and the prevalence of frailty increases with age. Frailty commonly coexists with cardiovascular diseases (CVDs), such as coronary artery disease (CAD), heart failure (HF), aortic stenosis (AS), and atrial fibrillation (AF). Frail patients who undergo revascularization for CAD have higher complication rates; those with HF have a high prevalence of poor outcomes, and those with AF are vulnerable to increased stroke incidence. Moreover, frailty and asymptomatic severe AS were independent factors for mortality. The presence of frailty can lead to poor clinical outcomes, and frailty has been identified as a risk factor for mortality. Thus, the identification of frail patients who are at higher risks of disability and adverse clinical outcomes is important. In this review, the relationship between frailty and CVD is appraised and optimal treatments for frail patients are discussed.

Impacts of geriatric nutritional risk index on prognosis of patients with non-ST-segment elevation acute coronary syndrome: Results from an observational cohort study in China

BACKGROUND AND AIMS

It is recognized that malnutrition increases risk of worse prognosis in patients with various diseases. The present study investigated if poor nutritional status predicts adverse outcomes in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) undergoing percutaneous coronary intervention (PCI).

METHODS AND RESULTS

The study enrolled 2299 patients (mean age: 60.01 ± 8.95 years; 71.8% male) with NSTE-ACS who underwent PCI at Beijing Anzhen Hospital from January to December 2015. The entire cohort was divided into training set (n = 1519) and testing set (n = 780) at a ratio of approximate 2 : 1. Nutritional status was assessed by geriatric nutritional risk index (GNRI). The primary endpoint was a composite of adverse events as follows: all-cause death, non-fatal myocardial infarction (MI) and any revascularization. Multivariate Cox analysis showed that GNRI significantly associated with primary endpoint, independent of other risk factors [hazard ratio (HR) 1.159 per 1-point decrease of GNRI, 95% confidence interval (CI) 1.130-1.189, p < 0.001]. The addition of GNRI to a baseline model had an incremental effect on the predictive value for adverse prognosis in training set [AUC: from 0.821 to 0.873, p < 0.001; category-free net reclassification improvement (NRI): 0.313, p < 0.001; integrated discrimination improvement (IDI): 0.108, p < 0.001]. The incremental effect of GNRI was further validated and confirmed in testing set.

CONCLUSION

Lower GNRI is a significant predictor of adverse prognosis in patients with NSTE-ACS undergoing PCI. Further studies need to be performed to determine whether nutritional interventions have a positive impact on improving clinical prognosis.

Impact of Geriatric Nutritional Index in Contrast-Induced Nephropathy Developed in Patients with Non-ST Segment Elevation Myocardial Infarction who Underwent Percutaneous Coronary Intervention

Objective:

Geriatric nutritional risk index (GNRI) is a useful tool to determine the nutritional status of patients. Any study has not evaluated the impact of GNRI in development of contrast- induced nephropathy (CIN) after percutaneous coronary intervention (PCI). We aimed to evaluate whether GNRI could predict CIN after PCI.

Method:

A total of 1116 patients with non-ST elevation myocardial infarction (non-STEMI) that underwent PCI were enrolled to the present study. The GNRI was calculated using a previously reported formula: GNRI=14.89 × albumin (g/dL) + 41.7 × body weight (kg)/ideal body weight (kg). CIN was defined as an increase in serum creatinine level of ≥0.5 mg/dL or ≥25% above baseline within 72 hours after the PCI procedure. The patients were categorized into two groups as CIN (+) and CIN (-).

Results:

The mean age of the CIN (+) group was significantly higher than the CIN (–) group (64.8±10.67 vs. 60.5±10.61 years; p<0.001). The mean values of height, weight, and body mass index were significanlty lower in CIN (+) group than CIN (-) group (p<0.001, for all). The mean of GNRI was significantly lower in the CIN (+) group than the CIN (-) group (101.4±8.7 vs. 112.1±12.9; p<0.001). Serum albumin level was significantly lower in the CIN (+) group (3.71±0.52 g/dL vs. 3.94±0.53 g/dL; p<0.001). Left ventricular ejection fraction (LVEF) was significantly lower in the CIN (+) group (50.7%±9.07 vs. 54.3%±7.20; p<0.001).

Conclusion:

In this study, GNRI, serum albumin level, BMI, and LVEF were independent predictors of CIN. Moreover, GNRI was better than both serum albumin level and BMI in predicting development of CIN.

Impact of nutritional index on long-term outcomes of elderly patients with coronary artery disease: sub-analysis of the SHINANO 5 year registry

Nutritional status is a novel approach to prognostic assessment in patients with cardiovascular disease. However, assessment of nutritional status in elderly patients is challenging due to the significant differences between young patients. The TCBI (Triglycerides × Total cholesterol × Body Weight Index) is a novel and simple nutritional index for predicting long-term outcomes in patients with coronary artery disease. This retrospective study evaluated the efficacy of TCBI in 597 elderly (≥ 75 years) patients enrolled in the SHINANO 5 year registry. The SHINANO 5 year registry, a prospective observational multicenter cohort study, had enrolled 1501 consecutive patients who underwent elective/urgent percutaneous coronary intervention (PCI). In this study, patients were categorized into TCBI quartile groups. The primary endpoints were the occurrence of major adverse cardiac and cerebrovascular events (MACCE), including all-cause death, stroke, and myocardial infarction at 5 year. The mean duration of follow up was 4.3 ± 1.7 years. The average patient age was 80.9 ± 4.3 years. MACCE was observed in 61 (40.9%) patients in the lowest TCBI quartile group. Kaplan–Meier analysis demonstrated an inverse relationship between MACCE and TCBI (log-lank P < 0.001). Multivariate analysis demonstrated that low TCBI significantly predicted the incidence of MACCE (hazard ratio: 1.44, 95% confidence interval: 1.03–2.00; P = 0.031). The TCBI is useful in predicting long-term outcomes in elderly patients undergoing PCI.

Usefulness of the Geriatric Nutritional Risk Index to predict the severity of cholecystitis among older patients in the emergency department

AIM

We sought to investigate whether the Geriatric Nutritional Risk Index is associated with systemic organ dysfunction among older patients who present with cholecystitis to the emergency department.

METHODS

This was an observational retrospective study among consecutive older patients with cholecystitis in the emergency department from 2012 to 2018. We collected baseline characteristics and laboratory data, and re-categorized the Geriatric Nutritional Risk Index into three risk groups. We carried out univariate and multivariate analyses to identify factors associated with systemic organ dysfunction. Logistic regression was used for statistical analysis.

RESULTS

A total of 303 patients were included in this study. The median age of participants was 74 years (interquartile range 68-79 years). The overall proportion of systemic organ dysfunction was 26.4%. The Geriatric Nutritional Risk Index was stratified as: ≥98 (n = 183, systemic organ dysfunction 15.3%), 87 to <98 (n = 90, systemic organ dysfunction 38.9%) and <87 (n = 30, systemic organ dysfunction 56.7%). Multivariate analysis using a logistic regression model showed that age, respiratory rate, temperature, geriatric nutritional risk index and quick Sepsis-related Organ Failure Assessment score in the emergency department were independently associated with systemic organ dysfunction in patients with cholecystitis.

CONCLUSIONS

The Geriatric Nutritional Risk Index was recognized as an independent factor associated with systemic organ dysfunction in older patients in the emergency department who presented with cholecystitis. This index might be helpful in screening patient risk and deciding whether to carry out further tests. Geriatr Gerontol Int 2020; 20: 455-460.

Utility of the Nutritional Screening in Predicting Adverse Outcome of Patients With Overweight/Obesity and Acute Heart Failure

BACKGROUND

Undernutrition is a negative predictor of adverse outcomes in patients with heart failure (HF). Despite the survival advantage of elevated body mass index (BMI) in patients with HF, BMI does not necessarily reflect a favorable nutritional status. In the present study, we investigated the clinical impact of nutritional screening in patients with HF and overweight/obesity.

METHODS

We examined the data from 170 patients with overweight or obesity status (defined as BMI ≥ 25 kg/m²) who admitted for acute HF. Their controlling nutritional status (CONUT) score was calculated on admission. The CONUT score is regarded as an index of the nutritional status.

RESULTS

The median duration of follow-up was 1096 days (interquartile range, 805-1096 days). Undernutrition was identified in 66.5% of the patients. Kaplan-Meier survival analysis demonstrated that patients with undernutrition had a higher incidence of all-cause death and readmission due to HF than those without undernutrition. Multivariate Cox regression analysis revealed that the CONUT score, but not BMI and the geriatric nutritional risk index, was independently correlated with poor prognosis.

CONCLUSIONS

Undernutrition is highly prevalent and independently predicts poor outcomes in patients with overweight/obesity and acute HF.

Geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - Automated undernutrition screen tool

BACKGROUND

Premorbid undernutrition has been proven to have an adverse effect on the prognosis of stroke patients. The evaluation of nutritional status is important, but there is no universally accepted screen methodology.

PURPOSE

We aimed to use the geriatric nutritional risk index (GNRI) for evaluating the effect of premorbid undernutrition on short-term outcomes in patients with acute ischemic stroke.

METHODS

A total of 1,906 patients were included for analysis. Baseline characteristics were collected. We evaluated the nutritional status of the patients using the GNRI and body mass index(BMI). The GNRI was calculated as {1.519×serum albumin(g/dL) + 41.7×present weight (kg)/ideal body weight (kg)}. All patients were categorized into four groups on the basis of the GNRI score.

RESULTS

Among the included patients, 546 patients had an unfavorable outcomes. The proportion of patients with moderate and severe risk, assessed in GNRI, was significantly higher in the unfavorable outcome group compared to the favorable outcome group (33.3% vs 15.0%). The increased risk of premorbid undernutrition was associated with an increased risk of unfavorable outcome in a dose-response manner after adjusting for covariates.

CONCLUSIONS

This study demonstrated that GNRI was associated with poor prognosis in patients with acute ischemic stroke. GNRI may be used to screen patients at high risk for unfavorable outcome.

Ventricular Septal Rupture After Recent Myocardial Infarction in the Very Elderly

Ventricular septal rupture (VSR) is one of the fatal complications of myocardial infarction in the percutaneous coronary intervention era. A rapid diagnosis, medical and mechanical support, and surgical intervention are required for recovery and survival. In such a situation, the risk of complications associated with surgery is very high, especially in very elderly patients, in which any therapeutic strategy should be carefully discussed by the heart team. Herein, we describe two cases of VSRs after recent myocardial infarction (RMI) in very elderly patients that required debate regarding whether to perform surgery. The patients included a 93-year-old man and 89-year-old man, both of which were not highly frail before the RMI occurred. In the former case, a conservative strategy was adopted because the risk of surgery was considered, but he did not survive. On the other hand, the latter patient underwent surgery and his life was ultimately saved. Based on these two cases, we concluded that even if the patients are very old, if possible, surgical intervention should be fully considered.

Malnutrition and Clopidogrel Non-Use Worsen Prognosis of Critical Limb Ischemia Patients After Revascularization

Background: Critical limb ischemia (CLI) patients have high risk for major adverse cerebrovascular and cardiovascular events. This study investigated the risk factors of cerebrovascular or cardiovascular death in CLI patients with concomitant coronary artery disease (CAD). Methods and Results: The association between baseline characteristics and cerebrovascular or cardiovascular death ≤2 years after revascularization for CLI was investigated in 137 CLI patients who previously underwent successful revascularization for CAD before treatment for CLI. Twenty-three patients (17%) died. Geriatric nutritional risk index (GNRI) in the deceased group (DG) was significantly lower than in the surviving group (SG). On Cox proportional hazard multivariate analysis, hemodialysis (HD) and malnutrition (defined as GNRI <92) were significantly associated with cerebrovascular or cardiovascular death. Also, on Kaplan-Meier analysis, survival rate was significantly lower in CLI patients with either malnutrition or HD compared with patients without either malnutrition or HD, respectively. Furthermore, clopidogrel was less used in the DG than in the SG. The use of clopidogrel was associated with cerebrovascular or cardiovascular death. Especially, non-use of clopidogrel in the malnutrition group further increased the correlation with cerebrovascular or cardiovascular death. Conclusions: Malnutrition is a crucial risk factor for cerebrovascular and cardiovascular death in CLI patients with CAD. Nutritional status intervention and use of clopidogrel may be an important strategy for CLI.

Impact of Nutritional and Inflammation Status on Long-Term Bleeding in Patients Undergoing Percutaneous Coronary Intervention with an Oral Anticoagulant

AIM

Patients undergoing percutaneous coronary intervention (PCI) who require both oral anticoagulant (OAC) and antiplatelet therapy (APT) are exposed to a serious risk of bleeding. The aim of this study was to clarify the relationship among nutritional and inflammation status and long-term bleeding in patients requiring both OACs and APT after PCI.

METHODS

We performed PCI in 3,718 consecutive patients between April 2011 and March 2017, 302 of whom were treated with both OACs and APT. Patients were followed for up to 3 years for bleeding events, defined as the Bleeding Academic Research Consortium (BARC) class ≥3 bleeding. We retrospectively evaluated the ability of the Geriatric Nutritional Risk Index (GNRI) and high-sensitivity C-reactive protein (hs-CRP) to detect bleeding events.

RESULTS

During a median follow-up of 1,080 days, bleeding events were observed in 53 (17.5%) patients. Bleeding events were associated with a low GNRI (≤98) (hazard ratio [HR], 3.16; 95% confidence interval [CI], 1.84-5.45; p＜0.0001) and hs-CRP level ≥2.5 mg/L (HR, 2.75; 95% CI, 1.61-4.78; p=0.0003). A low GNRI＋high hs-CRP showed a 5.12-fold increase in the incidence of BARC class ≥3 bleeding (95% CI, 2.68-9.91; p＜0.0001) compared with a normal GNRI＋low hs-CRP. The addition of the GNRI and hs-CRP to the PRECISE-DAPT score improved C-statistics from 0.67 to 0.71 and enhanced the net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (NRI, 0.36, p＜0.0001; IDI, 0.066, p＜0.0001).

CONCLUSIONS

The GNRI and hs-CRP were novel predictors of the long-term bleeding risk in patients requiring both OACs and APT after PCI.

Nutritional risk index is a better predictor of early mortality than conventional nutritional markers after transcatheter aortic valve replacement: A prospective cohort study

BACKGROUND

Nutritional risk index (NRI) has been shown to better predict survival than body mass index (BMI) or albumin after several cardiovascular interventions. Under assessment herein is whether NRI can have higher predictive value than conventional parameters for short-term survival after transcatheter aortic valve replacement (TAVR).

METHODS

A prospective cohort study was performed. In-hospital, 1-month and 3-month survival was evaluated. Since most patients undergoing TAVR are over 65, the NRI definition for a geriatric population (GNRI) was used. The impact of baseline BMI, albumin levels, and GNRI on in-hospital and short-term survival was assessed.

RESULTS

One hundred fifty two patients aged 82 ± 5.4 were included. In-hospital, 1-month, and 3-month mortality was 5.3%, 5.9%, and 9.2%, respectively. Mean GNRI was 112.7 ± 11.9, and was significantly lower in patients who died in-hospital (101.0 ± 8.8 vs. 113.3 ± 11.7), at 30 days (103.4 ± 10.9 vs. 113.3 ± 11.7), and at 90 days (104.0 ± 9.6 vs. 113.6 ± 11.8) than in survivors (all, p < 0.05). Three-month mortality in patients with no nutritional risk was 6.8% (9/132) vs. 25% (5/20) in patients with malnutrition (p = 0.022). In univariate analysis, GNRI predicted in-hospital, 30-day, and 90-day mortality (all, p < 0.05). Predictive value remained significant after adjusting for age, EuroSCORE II, and STS-Score (p < 0.05). Based on receiver operating curves, GNRI (AUC: 0.73) showed a better discrimination for 3-month mortality than albumin (0.69), weight (0.67) or BMI (0.62). The optimal cut-off value was 109.8.

CONCLUSIONS

The geriatric nutritional risk index predicts short-term mortality after TAVR and has a higher discriminating ability than other commonly used nutritional variables. It is a simple parameter that identifies those patients who could benefit from pre-procedural nutritional therapy.

Nutritional Considerations of Cardiovascular Diseases and Treatments

Nutritional considerations of many chronic diseases are not fully understood or taken into consideration in everyday clinical practice. Therefore, it is not surprising that high proportion of hospitalized patients with cardiovascular diseases remains underdiagnosed with malnutrition. Malnourished patients have increased risk of poor clinical outcomes, complications rate, prolonged hospital stay, more frequent rehospitalizations, and lower quality of life. The purpose of this review is to recapitulate recent data on nutritional considerations in cardiovascular medicine.

A novel and simply calculated nutritional index serves as a useful prognostic indicator in patients with coronary artery disease

OBJECTIVE

No nutritional index has been firmly established yet in patients with coronary artery disease (CAD). In this study, we propose a simple to calculate nutritional indicator in patients who underwent percutaneous coronary intervention (PCI) by using parameters routinely measured in CAD and evaluated its prognostic implication.

METHODS

This study is a retrospective observational analysis of a prospective database. The subjects were consecutive 3567 patients underwent their first PCI between 2000 and 2013 at Juntendo University Hospital in Tokyo. The median of the follow-up period was 6.3 years (range: 0-13.6 years). The novel nutritional index was calculated by the formula; Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI) = TG × TC × BW / 1000 (TG and TC: mg/dl, and BW: kg).

RESULTS

The Spearman non-parametric correlation coefficient between TCBI and the most often used conventional nutritional index, Geriatric Nutritional Risk Index (GNRI), was 0.355, indicating modest correlation. Moreover, Unadjusted Kaplan-Meier analysis showed higher all-cause mortality, cardiovascular mortality, and cancer mortality in patients with low TCBI. Consistently, elevation of TCBI was associated with reduced all-cause (hazard ratio: 0.86, 95%CI: 0.77-0.96, p < 0.001), cardiovascular (0.78, 0.66-0.92, p = 0.003), and cancer mortality (0.76, 0.58-0.99, p = 0.041) in patients after PCI by multivariate Cox proportional hazard analyses.

CONCLUSION

TCBI, a novel and easy to calculate nutrition index, is a useful prognostic indicator in patients with CAD.