Tools for the Assessment of the Malnutrition Status and Possible Interventions in Elderly with Cardiovascular Diseases

Coronary artery disease management in older adults: revascularization and exercise training

The mean age of patients with coronary artery disease (CAD) is steadily increasing. In older patients, there is a tendency to underutilize invasive approach, coronary revascularization, up-to-date pharmacological therapies, and secondary prevention strategies, including cardiac rehabilitation. Older adults with CAD commonly exhibit atypical symptoms, multi-vessel disease involvement, complex coronary anatomy, and a higher presence of risk factors and comorbidities. Although both invasive procedures and medical treatments are characterized by a higher risk of complications, avoidance may result in a suboptimal outcome. Often, overlooked factors, such as coronary microvascular disease, malnutrition, and poor physical performance, play a key role in determining prognosis, yet they are not routinely assessed or addressed in older patients. Historically, clinicians have relied on sub-analyses or observational findings to make clinical decisions, as older adults were frequently excluded or under-represented in clinical studies. Recently, dedicated evidence through randomized clinical trials has become available for older CAD patients. Nevertheless, the management of older CAD patients still raises several important questions. This review aims to comprehensively summarize and critically evaluate this emerging evidence, focusing on invasive management and coronary revascularization. Furthermore, it seeks to contextualize these interventions within the framework of improved risk stratification tools for older CAD patients, through user-friendly scales along with emphasizing the importance of promoting physical activity and exercise training to enhance the outcomes of invasive and medical treatments. This comprehensive approach may represent the key to improving prognosis in the complex and growing patient population of older CAD patients.

Prognostic value of geriatric nutritional risk index in patients with stable coronary artery disease undergoing percutaneous coronary intervention

BACKGROUND

Malnutrition increases the risk of poor prognosis in patients with cardiovascular disease, and our current research was designed to assess the predictive performance of the Geriatric Nutrition Risk Index (GNRI) for the occurrence of poor prognosis after percutaneous coronary intervention (PCI) in patients with stable coronary artery disease (SCAD) and to explore possible thresholds for nutritional intervention.

METHODS

This study retrospectively enrolled newly diagnosed SCAD patients treated with elective PCI from 2014 to 2017 at Shinonoi General Hospital, with all-cause death as the main follow-up endpoint. Cox regression analysis and restricted cubic spline (RCS) regression analysis were used to explore the association of GNRI with all-cause death risk and its shape. Receiver operating characteristic curve (ROC) analysis and piecewise linear regression analysis were used to evaluate the predictive performance of GNRI level at admission on all-cause death in SCAD patients after PCI and to explore possible nutritional intervention threshold points.

RESULTS

The incidence of all-cause death was 40.47/1000 person-years after a mean follow-up of 2.18 years for 204 subjects. Kaplan-Meier curves revealed that subjects at risk of malnutrition had a higher all-cause death risk. In multivariate Cox regression analysis, each unit increase in GNRI reduced the all-cause death risk by 14% (HR 0.86, 95% CI 0.77, 0.95), and subjects in the GNRI > 98 group had a significantly lower risk of death compared to those in the GNRI < 98 group (HR 0.04, 95% CI 0.00, 0.89). ROC analysis showed that the baseline GNRI had a very high predictive performance for all-cause death (AUC = 0.8844), and the predictive threshold was 98.62; additionally, in the RCS regression analysis and piecewise linear regression analysis we found that the threshold point for the GNRI-related all-cause death risk was 98.28 and the risk will be significantly reduced when the subjects' baseline GNRI was greater than 98.28.

CONCLUSIONS

GNRI level at admission was an independent predictor of all-cause death in SCAD patients after PCI, and GNRI equal to 98.28 may be a useful threshold for nutritional intervention in SCAD patients treated with PCI.

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.

Management of Coronary Artery Disease in Older Adults: Recent Advances and Gaps in Evidence

Coronary artery disease (CAD) is highly prevalent in older adults, yet its management remains challenging. Treatment choices are made complex by the frailty burden of older patients, a high prevalence of comorbidities and body composition abnormalities (e.g., sarcopenia), the complexity of coronary anatomy, and the frequent presence of multivessel disease, as well as the coexistence of major ischemic and bleeding risk factors. Recent randomized clinical trials and epidemiological studies have provided new data on optimal management of complex patients with CAD. However, frail older adults are still underrepresented in the literature. This narrative review aims to highlight the importance of assessing frailty as an aid to guide therapeutic decision-making and tailor CAD management to the specific needs of older adults, taking into account age-related pharmacokinetic and pharmacodynamic changes, polypharmacy, and potential drug interactions. We also discuss gaps in the evidence and offer perspectives on how best in the future to optimize the global strategy of CAD management in older adults.

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.

Red Meat Consumption and Risk of Cardio-Cerebrovascular Disease in Chinese Older Adults

Associations between red meat consumption and cardio-cerebrovascular diseases (CCVDs) are mostly studied in Western populations but not in Chinese or elderly. This prospective study investigated adults ≥65 years from the China Kadoorie Biobank (CKB). Associations between red meat consumption and CCVD, ischemic stroke/transient ischemic attack (TIA), CCVD mortality, and all-cause mortality were determined by Cox regression. A total of 59,980 participants were analyzed, 14,715 (24.53%) of whom ate red meat daily, 9,843 (16.41%) ate red meat 4-6 days/week, 23,472 (39.13%) ate red meat 1-3 days/week, and 11,950 (19.92%) ate red meat less than 1 day/week. Average amount of red meat usual consumption was 38 g/day. After adjustment, per 50 g/day higher red meat consumption at baseline was significantly associated with increased incident CCVD (aHR = 1.10) among high-income subjects (≥ 10,000 RMB) and urban residents (aHR = 1.12). Per 50 g/day higher baseline red meat consumption was significantly associated with increased ischemic stroke/TIA in urban residents (aHR = 1.08) but decreased risk in rural residents (aHR = 0.84). Higher baseline red meat consumption was associated with lower CCVD mortality in the poorest (aHR = 0.78) and rural residents (aHR = 0.72) and lower all-cause mortality in the poorest (aHR = 0.82) and rural residents (aHR = 0.80). In general, among older adults in China, higher red meat intake independently predicted increased CCVD among urban and high-income individuals but not poor ones. Higher red meat intake appears to be protective against mortality in rural and low-income subjects. Socioeconomic status is a crucial modifying factor on the association between red meat consumption and adverse cardiovascular outcomes in China.

Predicting prognosis of heart failure using common malnutrition assessment tools: A systematic review and meta-analysis

BACKGROUND AND AIMS

COUNT score, PNI score, and GNRI scores are associated with cardiovascular events. This review identifies the most accurate malnutrition assessment tools based on these scores in predicting mortality and readmission outcomes in HF patients.

MATERIAL AND METHODS

PubMed via MEDLINE, EMBASE were searched to identify studies assessing malnutrition using CONUT, PNI and GNRI. A meta-analysis was carried out to pool the hazard ratios on mortality and readmission rates. The methodological quality was assessed using the Newcastle-Ottawa Scale.

RESULTS

The mortality in HF patients with malnutrition assessed by CONUT showed pooled HR of 1.23. HF patients with all severe, moderate, and mild risk of malnutrition showed mortality with HR 3.56, 2.71 and 1.57 respectively. For malnutrition assessed with GNRI, HF patients with all severe, moderate, and mild risk of malnutrition showed mortality with HR 4.17, 2.73 and 1.73 respectively. No significance difference in association of CONUT score with pooled HR of readmission rate was observed HR 0.99. With PNI, HF patients with all severe and moderate risk of malnutrition showed mortality with HR 2.14 and HR 1.68 respectively, although they failed to achieve significance.

CONCLUSION

CONUT and GNRI are the superior prognostic indicator than PNI in prediction of mortality associated with risk of malnutrition.

Prediction of all-cause mortality with malnutrition assessed by nutritional screening and assessment tools in patients with heart failure：a systematic review

BACKGROUND AND AIMS

In the absence of a gold standard or scientific consensus regarding the nutritional evaluation of heart failure (HF) patients, this study aimed to summarize and systematically evaluate the prognostic value of nutritional screening and assessment tools used for all-cause mortality in HF patients.

METHODS AND RESULTS

Relevant studies were retrieved from major databases (PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), WanFang Data, and China Biology Medicine disc (CMB)) and searched from the earliest available date until July 2021. If three or more studies used the same tool, meta-analysis using RevMan 5.3 was performed. This systematic review was registered at PROSPERO (number CRD42021275575). A total of 36 articles involving 25,141 HF patients were included for qualitative analysis and 31 studies for quantitative analysis. Meta-analysis of these studies indicated, poor nutritional status evaluated by using 5 nutritional screening tools (Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status Score (CONUT), Nutritional Risk Index (NRI), and Short Form Mini Nutritional Assessment (MNA-SF)) or 2 nutritional assessment tools (the Mini Nutritional Assessment (MNA) and Generated Subjective Global Assessment (SGA)) predicted all-cause mortality in HF patients. Of all tools analyzed, MNA had the maximum HR for mortality [HR = 2.62, 95%CI 1.11-6.20, P = 0.03] and MNA-SF [HR = 1.94, 95%CI 1.40-2.70, P＜0.001] was the best nutritional screening tools.

CONCLUSION

Poor nutritional status predicted all-cause mortality in HF patients. MNA may be the best nutritional assessment tool, and MNA-SF is most recommended for HF patient nutritional screening. The application value of MNA, especially in patients with reduced left ventricular ejection fraction (LVEF), needs to be further confirmed. The clinical application value of Mini-Nutrition Assessment Special for Heart Failure (MNA-HF) and Global Leadership Initiative on Malnutrition (GLIM) in HF patients needs to be confirmed.