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

Predictive values of four nutritional indices for adverse outcomes in patients with hypertension

BACKGROUND

Malnutrition, evaluated by nutritional indices, is reportedly related to a poor prognosis in patients with hypertension. However, clinical evidence on which index is more suitable for predicting a kidney prognosis is limited, and it has not been evaluated in hypertension. The aim of the present study was to investigate and compare the predictive values of four nutritional indices: Geriatric Nutritional Risk Index (GNRI); Prognostic Nutrition Index (PNI); Triglycerides × Total cholesterol × Body weight Index (TCBI); and the controlling nutritional status (CONUT) score.

METHODS

A retrospective, cohort study of 1255 hypertensive patients under care in the Fukushima Cohort Study was conducted. The primary outcome was kidney events, defined as a combination of a 50% decline in eGFR from baseline and renal failure requiring dialysis therapy or kidney transplantation. Kaplan-Meier analyses and multivariate Cox regression analyses were conducted to examine associations between the four nutritional indices and kidney events. The area under the curve (AUC) values of the receiver-operating characteristic curves were also examined to compare the predictive values of these nutritional indices.

RESULTS

Lower GNRI, lower PNI, and higher CONUT score were significantly related to a higher risk of kidney events. GNRI (AUC = 0.729, 95% confidence interval 0.681-0.777) and PNI (AUC = 0.710, 95% confidence interval 0.665-0.756) had significantly higher AUCs for kidney events than the TCBI and CONUT score.

CONCLUSIONS

GNRI and PNI showed greater predictive values for kidney events than other nutritional indices in patients with hypertension.

Predictors of major adverse cardiac and cerebrovascular events after percutaneous coronary intervention in older adults: a systematic review and meta-analysis

AIM

We systematically reviewed and meta-analyzed the predictors of major adverse cardiac and cerebrovascular events (MACE/MACCE) in older adults who underwent PCI.

METHODS

Three databases, PubMed, Embase, and Scopus, were searched for observational studies considering the out-of-hospital MACE/MACCE in adults ≥ 60 years old with coronary artery disease (acute or chronic) who underwent PCI. Studies were eligible if they had determined at least two statistically significant predictors of MACE/MACCE by multivariable analysis. We used the QUIPS tool to evaluate the risk of bias in the studies. Random-effects meta-analysis was utilized to pool the hazard ratios (HRs) of the most reported predictors.

RESULTS

A total of 34 studies were included in the review. Older age (HR = 1.04, 95% Confidence Interval (CI): 1.03-1.06, P-value < 0.001), diabetes (HR = 1.36, 95% CI: 1.22-1.53, P < 0.001), history of myocardial infarction (MI) (HR = 1.88, 95% CI: 1.37-2.57, P < 0.001), ST-elevation MI (STEMI) at presentation (HR = 1.72, 95% CI: 1.37-2.18, P < 0.001), reduced left ventricular ejection fraction (LVEF) (HR = 2.01, 95% CI: 1.52-2.65, P < 0.001), successful PCI (HR = 0.35, 95% CI: 0.27-0.47, P < 0.001), eGFR (HR = 0.99, 95% CI: 0.97-1.00; P-value = 0.04) and left main coronary artery (LMCA) disease (HR = 2.07, 95% CI: 1.52-2.84, P < 0.001) were identified as predictors of MACE.

CONCLUSION

We identified older age, diabetes, history of MI, STEMI presentation, lower LVEF, and LMCA disease increased the risk of MACE/MACCE after PCI in older adults. Meanwhile, higher eGFR and successful PCI predicted lower adverse events risk. Future studies should focus on a more robust methodology and a precise definition of MACE.

REGISTRATION

PROSPERO (CRD42023480332).

A simply calculated nutritional index provides clinical implications in patients undergoing transcatheter aortic valve replacement

BACKGROUND

Malnutrition is associated with adverse outcomes in patients with aortic stenosis. The Triglycerides × Total Cholesterol × Body Weight Index (TCBI) is a simple scoring model to evaluate the status of nutrition. However, the prognostic relevance of this index in patients undergoing transcatheter aortic valve replacement (TAVR) is unknown. This study aimed to evaluate the association of the TCBI with clinical outcomes in patients undergoing TAVR.

METHODS

A total of 1377 patients undergoing TAVR were evaluated in this study. The TCBI was calculated by the formula; triglyceride (mg/dL) × total cholesterol (mg/dL) × body weight (kg)/1000. The primary outcome was all-cause mortality within 3 years.

RESULTS

Patients with a low TCBI, based on a cut-off value of 985.3, were more likely to have elevated right atrial pressure (p = 0.04), elevated right ventricular pressure (p < 0.01), right ventricular systolic dysfunction (p < 0.01), tricuspid regurgitation ≥ moderate (p < 0.01). Patients with a low TCBI had a higher cumulative 3-year all-cause (42.3% vs. 31.6%, p < 0.01; adjusted HR 1.36, 95% CI 1.05-1.77, p = 0.02) and non-cardiovascular mortality (15.5% vs. 9.1%, p < 0.01; adjusted HR 1.95, 95% CI 1.22-3.13, p < 0.01) compared to those with a high TCBI. Adding a low TCBI to EuroSCORE II improved the predictive value for 3-year all-cause mortality (net reclassification improvement, 0.179, p < 0.01; integrated discrimination improvement, 0.005, p = 0.01).

CONCLUSION

Patients with a low TCBI were more likely to have right-sided heart overload and exhibited an increased risk of 3-year mortality. The TCBI may provide additional information for risk stratification in patients undergoing TAVR.

2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines

AIM

The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease."

METHODS

A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.

2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines

AIM

The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease."

METHODS

A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.

A novel nutritional index and adverse outcomes in ischemic stroke: Results from the third China National Stroke Registry

BACKGROUND AND AIMS

Few studies have applied the triglyceride, cholesterol, body weight index (TCBI) in acute ischemic stroke (AIS). We investigated the association between the TCBI and adverse clinical outcomes in patients with AIS.

METHODS AND RESULTS

Based on the Third China National Stroke Registry (CNSR-III) data from August 2015 to March 2018, we evaluated the nutritional status of patients with AIS using the TCBI. Patients were categorized according to quartile levels of the TCBI. The main outcomes were poor functional outcomes and recurrent stroke at 1-year and secondary outcomes were adverse outcomes at 3 and 6 months after stroke onset. Poor functional outcomes consisted of all-cause mortality and major disabilities. Multivariate analyses with logistic or Cox regression analysis and restricted cubic splines determined the association between the TCBI and adverse outcomes. We included 9708 patients. At the 1-year follow-up, 1323 patients (13.6%) had died or experienced major disability. The adjusted odds ratios/hazard ratios and 95% confidence intervals of the lowest quartile at 1-year were 1.47 (1.22-1.78) for poor functional outcomes, 1.46 (1.18-1.81) for major disability, and 1.34 (0.94-1.86) for all-cause mortality. Kaplan-Meier analysis demonstrated an inverse relationship between all-cause mortality and the TCBI (log-rank p < 0.05). An approximately L-shaped relationship between TCBI levels and poor functional outcomes and major disability was observed at 1-year.

CONCLUSION

The novel TCBI was associated with short- and long-term adverse outcomes in AIS. Thus, it may be useful for predicting adverse outcomes in patients with AIS.

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

Background

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

Methods

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

Results

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

Conclusion

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

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 in elderly patients with acute myocardial infarction

We aimed to investigate the prevalence and the prognostic impact of malnutrition using the geriatric nutritional risk index (GNRI) in elderly patients with acute myocardial infarction (AMI). We investigated 130 consecutive patients aged ≥ 75 years who were discharged following successful primary coronary intervention between March 2009 and December 2016. The mean age of the patients was 81.5 ± 5.0 years, and 55.4% of them were male. At discharge, the patients' nutritional statuses were evaluated using the GNRI, which were calculated as follows: 14.89 × serum albumin (g/dL) + 41.7 × body mass index/22. The patients were divided into two groups, a low GNRI group (GNRI < 92) with nutrition-related risk and a high GNRI group (GNRI ≥ 92) without nutrition-related risk. The mean GNRI score of all patients was 95.2 ± 11.0, and 46 patients (35.4%) had a low GNRI score. During the mean follow-up of 1030 ± 850 days, the all-cause mortality was significantly higher in the low GNRI group than in the high GNRI group (32.6% vs. 13.1%, p < 0.001), while the event rates of AMI recurrence and hospitalization due to heart failure did not differ significantly between the two groups. Multivariate Cox proportional analysis revealed that low GNRI was a modest but independent predictor of mortality (hazard ratio, 0.94; 95% confidence interval 0.90-0.98; p = 0.01). Among elderly patients with AMI, malnutrition assessed using the GNRI was often encountered and was an independent predictor of long-term mortality.