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

Comparative analysis of six nutritional scores in predicting prognosis of COVID-19 patients

Background

Identifying nutritional risk in COVID-19 patients poses a challenge due to the unique qualities of every nutritional screening instrument. The objective was to assess the efficacy of six nutritional scores, including the Nutritional Risk Screening 2002 (NRS-2002) score, the NUTRIC (nutrition risk in the critically ill) score, the modified NUTRIC score, the prognostic nutritional index (PNI), controlling nutritional status (CONUT) score, TCB index (TCBI), predicting prognosis of COVID-19 patients.

Methods

Clinical data were collected from COVID-19 patients admitted to the First Affiliated Hospital of Wenzhou Medical University between December 2022 and February 2023. Participants in this research were divided into two groups: all patients and those specifically from the intensive care unit (ICU). Each group was further stratified into two groups: survivors and non-survivors.

Result

506 COVID-19 patients and 190 COVID-19 patients in intensive care unit (ICU) were evaluated. In all COVID-19 patients, we found that NRS-2002 (p < 0.001) and TCBI (p = 0.002) were statistically significant independent predictors in multivariate analyses, while APACHE II score (p = 0,048) and the mNUTRIC score (p = 0.025) were statistically significant independent predictors in multivariate analyses in ICU patients. The NRS-2002 demonstrated a higher AUC value (0.687) than other nutritional scores in all patients, with an optimum cut-off value of 3, translating into a corresponding sensitivity of 66.2% and specificity of 68.7%. With an optimum cut-off value of 4, the mNUTRIC score demonstrated a higher AUC value (0.884) in ICU patients, resulting in a sensitivity of 88.4% and a specificity of 76.9%. By using the discrimination and clinical application (DCA) curve, NRS-2002 demonstrated the greatest net benefit in all patients, while NUTRIC score and mNUTRIC score offered the more significant overall advantage than other nutritional scores in ICU patients. Kaplan-Meier analyses showed lower survival rates in patients in low nutritional risk.

Conclusion

Malnutrition was common in COVID-19 patients. The mNUTRIC score and NRS-2002 were, respectively, more effctive scoring systems of prognosis in all COVID-19 patients and severe or critical COVID-19 patients of the intensive care unit (ICU).

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.

Prognostic significance of preoperative nutritional status for heart transplantation patients

BACKGROUND

The association between malnutrition and outcomes of heart transplantation (HTx) has not been well studied. The purpose of this article was to evaluate the prognostic value of three different nutrition indices in HTx, including CONUT (Controlling Nutritional Status), NRI (Nutritional Risk Index) and GNRI (Geriatric Nutritional Risk Index).

METHODS

A total of 438 patients who underwent THx from January 2015 to December 2020 were included in this study. The nutritional status of the patients was evaluated by CONUT, NRI and GNRI. Kaplan-Meier (KM) curves were constructed to compare the difference in overall survival (OS) between the normal and malnutrition groups in each index. Cox regression analysis was used to identify the independent risk factors of OS. The predictive power was compared by time-dependent ROC and time-dependent ccurves. Logistic regression model was used to evaluate the relationship between these three nutrition indices and postoperative clinical events.

RESULTS

336 (76.7%), 183 (43.8%), and 190 (43.4%) patients had malnutrition according to CONUT, NRI and GNRI calculations. 102 (23.3%) patients had died at the end of follow-up. After adjustment for confounding variables, multivariate Cox analysis showed that CONUT [HR 1.286 (95%CI 1.166 ~ 1.419); p < 0.001], NRI [HR 0.942 (95%CI 0.923 ~ 0.962); p < 0.001] and GNRI [HR 0.959 (95%CI 0.939 ~ 0.979); p < 0.001] were all independent predictors for OS. The predictive power of CONUT score was higher than that of NRI (p = 0.045) and GNRI (p < 0.001). Regarding the postoperative complications, multivariate logistic regression model showed that malnutrition assessed by CONUT [HR 1.156 (95%CI 1.032 ~ 1.294); p = 0.012] and NRI [HR 1.543 (95%CI 1.008 ~ 2.362); p = 0.046] was independent risk factors for posttransplant infections.

CONCLUSION

Poor nutritional status, as assessed by CONUT, NRI and GNRI, was associated with an increased risk of mortality after HTx. CONUT displayed the highest predictive power compared to the other two indices. CONUT and NRI were also independently associated with posttransplant infections.

Association between nutrition-related indicators with the risk of chronic obstructive pulmonary disease and all-cause mortality in the elderly population: evidence from NHANES

Background

This study aims to use six nutrition-related indicators to assess the relationship between nutritional status and the risk of COPD as well as the all-cause mortality rate, and to determine the most reliable predictive indicators.

Methods

Data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2013 to 2018 were extracted. Nutritional status was evaluated using Controlling nutritional status (CONUT) score, Geriatric Nutritional Risk Index (GNRI), Advanced Lung Cancer Inflammation Index (ALI), Prognostic Nutritional Index (PNI), Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI), and Albumin-to-Globulin Ratio (AGR) nutritional-related indicators. Multivariate weighted logistic and Cox regression models were employed to assess the correlation between the six nutritional-related indicators and the risk of COPD and as all-cause mortality. The restricted cubic spline tests were applied to explore potential nonlinear relationships, and ROC curves and C-index analyses were conducted to compare the predictive capabilities of different indicators. Stratified analysis and propensity score matching (PSM) to assess the robustness of the results.

Results

In this study, Lower ALI, lower GNRI, and higher CONUT scores were positively correlated with an increased risk of COPD (OR: 1.77, 95% CI: 1.10-2.84) (OR: 8.66, 95% CI: 2.95-25.5), and (OR: 5.11, 95% CI: 1.72-15.2), respectively. It was found that ALI and GNRI had a non-linear relationship with the risk of COPD. After propensity score matching (PSM), the associations between ALI, GNRI, CONUT scores, and COPD remained consistent. Lower ALI, PNI, and GNRI scores were positively associated with all-cause mortality in COPD patients (HR: 2.41, 95% CI: 1.10-5.27), (HR: 3.76, 95% CI: 1.89-7.48), and (HR: 4.55, 95% CI: 1.30-15.9), respectively, with GNRI displaying a non-linear relationship with all-cause mortality. ROC curve and C-index analyses indicated that ALI had the best predictive ability for both COPD risk and all-cause mortality.

Conclusion

ALI, GNRI, and CONUT scores are correlated with the risk of COPD, while ALI, PNI, and GNRI scores are associated with all-cause mortality in COPD patients. Compared to other nutritional scores, ALI may provide more effective predictive value for both risk and all-cause mortality.

Association Between TCBI (Triglycerides, Total Cholesterol, and Body Weight Index) and Stroke-Associated Pneumonia in Acute Ischemic Stroke Patients

Purpose

Stroke-associated pneumonia (SAP) usually complicates stroke and is linked to adverse prognoses. Triglycerides, total cholesterol, and body weight index (TCBI) is a new and simple calculated nutrition index. This study seeks to investigate the association between TCBI and SAP incidence, along with its predictive value.

Patients and Methods

Nine hundred and sixty-two patients with acute ischemic stroke were divided into SAP group and Non-SAP group. The TCBI was divided into three layers: T1, TCBI < 948.33; T2, TCBI 948.33-1647.15; T3, TCBI > 1647.15. Binary Logistic regression analysis was used to determine the relationship between TCBI levels and the incidence of SAP. Furthermore, restricted cubic splines (RCS) analysis was utilized to evaluate the influence of TCBI on the risk of SAP.

Results

TCBI in the SAP group was markedly lower compared to that in the Non-SAP group (P < 0.001). The Logistic regression model revealed that, using T3 layer as the reference, T1 layer had the highest risk for SAP prevalence (OR = 2.962, 95% CI: 1.600-5.485, P = 0.001), with confounding factors being controlled. The RCS model found that TCBI had a linear relationship with SAP (P for nonlinear = 0.490, P for overall = 0.004). Moreover, incorporating TCBI into the A2DS2 (Age, atrial fibrillation, dysphagia, sex, and severity) model substantially enhanced the initial model's predictive accuracy.

Conclusion

Low TCBI was associated with a higher risk of SAP. In clinical practice, TCBI has shown predictive value for SAP, contributing to early intervention and treatment of SAP.

Association between extremely high prognostic nutritional index and all-cause mortality in patients with coronary artery disease: secondary analysis of a prospective cohort study in China

OBJECTIVES

Decreased prognostic nutritional index (PNI) was associated with adverse outcomes in many clinical diseases. This study aimed to evaluate the relationship between baseline PNI value and adverse clinical outcomes in patients with coronary artery disease (CAD).

DESIGN

The Personalized Antiplatelet Therapy According to CYP2C19 Genotype in Coronary Artery Disease (PRACTICE) study, a prospective cohort study of 15 250 patients with CAD, was performed from December 2016 to October 2021. The longest follow-up period was 5 years. This study was a secondary analysis of the PRACTICE study.

SETTING

The study setting was Xinjiang Medical University Affiliated First Hospital in China.

PARTICIPANTS

Using the 50th and 90th percentiles of the PNI in the total cohort as two cut-off limits, we divided all participants into three groups: Q1 (PNI <51.35, n = 7515), Q2 (51.35 ≤ PNI < 59.80, n = 5958) and Q3 (PNI ≥ 59.80, n = 1510). The PNI value was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm3).

PRIMARY OUTCOME

The primary outcome measure was mortality, including all-cause mortality (ACM) and cardiac mortality (CM).

RESULTS

In 14 983 participants followed for a median of 24 months, a total of 448 ACM, 333 CM, 1162 major adverse cardiovascular events (MACE) and 1276 major adverse cardiovascular and cerebrovascular events (MACCE) were recorded. The incidence of adverse outcomes was significantly different among the three groups (p <0.001). There were 338 (4.5%), 77 (1.3%) and 33 (2.2%) ACM events in the three groups, respectively. A restricted cubic spline displayed a J-shaped relationship between the PNI and worse 5-year outcomes, including ACM, CM, MACE and MACCE. After adjusting for traditional cardiovascular risk factors, we found that only patients with extremely high PNI values in the Q3 subgroup or low PNI values in the Q1 subgroup had a greater risk of ACM (Q3 vs Q2, HR: 1.617, 95% CI 1.012 to 2.585, p=0.045; Q1 vs Q2, HR=1.995, 95% CI 1.532 to 2.598, p <0.001).

CONCLUSION

This study revealed a J-shaped relationship between the baseline PNI and ACM in patients with CAD, with a greater risk of ACM at extremely high PNI values.

TRIAL REGISTRATION NUMBER

NCT05174143.

Comparative analysis of four nutritional scores in predicting adverse outcomes in biopsy-confirmed diabetic kidney Disease

Malnutrition is associated with adverse outcomes in patients with diabetic kidney disease (DKD). However, it is uncertain which nutritional assessment tools are most effective in predicting the adverse outcomes of DKD. This retrospective study was conducted at a single center and included 367 patients diagnosed with DKD based on biopsy results between August 2009 and December 2018. Four nutritional assessment indices, namely the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI), and Controlling Nutritional Status (CONUT) score, were selected and calculated. We aimed to assess the association between these nutritional scores and adverse outcomes, including progression to end-stage kidney disease (ESKD), cardiovascular diseases events (CVD), and all-cause mortality. Univariate and multivariate Cox regression analyses, Kaplan-Meier analysis, along with Restricted cubic spline analysis were used to examine the relationship between nutritional scores and adverse outcomes. Furthermore, the area under the curve (AUC) was calculated using time-dependent receiver operating characteristics to determine the predictive value of the four nutritional scores alone and some combinations. Lastly, ordered logistic regression analysis was conducted to explore the correlation between the four nutritional scores and different renal histologic changes. The incidence of ESKD, CVD, and all-cause mortality was significantly higher in patients with DKD who had a lower PNI, lower GNRI, and higher CONUT score. Additionally, The TCBI performed the worst in terms of grading and risk assessment. The PNI offer the highest predictive value for adverse outcomes and a stronger correlation with renal histologic changes compared to other nutritional scores. Patients diagnosed with DKD who have a worse nutritional status are more likely to experience higher rates of adverse outcomes. The PNI might offer more valuable predictive values and a stronger correlation with different renal histologic changes compared to other nutritional scores.

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.

Relationship between immune nutrition index and all-cause and cause-specific mortality in U.S. adults with chronic kidney disease

Objective

The available evidence regarding the association of immune nutrition status with chronic kidney disease (CKD) is limited. Thus, the present study examined whether immunonutrition indices were associated with renal function and mortality among CKD individuals.

Research design and methods

This study enrolled 6,099 U.S. adults with CKD from the NHANES 2005-2018 database. Participants were matched with National Death Index records until 31 December 2019 to determine mortality outcomes. The time-dependent receiver operating characteristic was utilized to identify the most effective index among the prognostic nutritional index (PNI), system inflammation score (SIS), Naples prognostic score (NPS), and controlling nutritional status (CONUT) for predicting mortality. Cox regression models were employed to evaluate the associations of immunonutrition indices with mortality in participants with CKD.

Results

The PNI exhibited the strongest predictive power among the four indices evaluated and the restricted cubic spline analysis revealed a cutoff value of 51 for the PNI in predicting mortality. During a median follow-up of 72 months (39-115 months), a total of 1,762 (weighted 24.26%) CKD participants died from all causes. The Kaplan-Meier curve demonstrated a reduced risk of death for the subjects with a higher PNI compared to those in the lower group. Besides, after adjusting for multiple potential confounders, a higher PNI remained an independent predictor for lower risks of all-cause mortality (HR 0.80, 95%CI: 0.71-0.91, p < 0.001) and cardiovascular disease (CVD) mortality (HR 0.69, 95%CI: 0.55-0.88, p = 0.002) in individuals with CKD.

Conclusion

In CKD, a higher PNI level was significantly associated with lower mortality from all causes and CVD. Thus, the clinical utility of this immunonutrition indicator may facilitate risk stratification and prevent premature death among patients with CKD.

Prognostic value of TCBI for short-term outcomes in ATAD patients undergoing surgery

OBJECTIVE

Nutritional status has been reported to be associated with the prognosis of cardiovascular diseases. The study aimed to investigate the prognostic value of Triglycerides-total Cholesterol-Body weight-Index (TCBI) for short-term mortality in acute type A aortic dissection (ATAD) patients undergoing surgery.

METHODS AND RESULTS

Totally, the data of 290 ATAD patients undergone surgery were, retrospectively, analyzed. After logistic regression analysis, TCBI was identified as an independent predictor of short-term mortality in ATAD surgery. The development of receive operating characteristic (ROC) curve demonstrated that TCBI (AUC = 0.745, P < 0.001) could provide well prognostic value for short-term mortality. Accordingly, the optimal cut-off value was identified as 883.5 and patients were divided into high TCBI (> 883.5) and low TCBI (≤ 883.5) groups. Furthermore, Kaplan-Meier analysis illustrated that short-term mortality increased significantly in the low TCBI group than in the high TCBI group (P < 0.0001). In addition, the incidence of postoperative renal failure was also elevated in the low TCBI group (P = 0.0011).

CONCLUSION

Malnutrition by preoperative TCBI presented strong prognostic value for patients following ATAD surgery. And TCBI could be applied for risk stratification and therapeutic strategy-making in ATAD.

Cardiovascular Outcomes in Acute Coronary Syndrome and Malnutrition: A Meta-Analysis of Nutritional Assessment Tools

Background

There is emerging evidence that malnutrition is associated with poor prognosis among patients with acute coronary syndrome (ACS).

Objectives

This study seeks to elucidate the prognostic impact of malnutrition in patients with ACS and provide a quantitative review of most commonly used nutritional assessment tools.

Methods

Medline and Embase were searched for studies reporting outcomes in patients with malnutrition and ACS. Nutritional screening tools of interest included the Prognostic Nutrition Index, Geriatric Nutritional Risk Index, and Controlling Nutritional Status. A comparative meta-analysis was used to estimate the risk of all-cause mortality and cardiovascular events based on the presence of malnutrition and stratified according to ACS type, ACS intervention, ethnicity, and income.

Results

Thirty studies comprising 37,303 patients with ACS were included, of whom 33.5% had malnutrition. In the population with malnutrition, the pooled mortality rate was 20.59% (95% CI: 14.95%-27.67%). Malnutrition was significantly associated with all-cause mortality risk after adjusting for confounders including age and left ventricular ejection fraction (adjusted HR: 2.66, 95% CI: 1.78-3.96, P = 0.004). There was excess mortality in the group with malnutrition regardless of ACS type (P = 0.132), ethnicity (P = 0.245), and income status (P = 0.058). Subgroup analysis demonstrated no statistically significant difference in mortality risk between individuals with and without malnutrition (P = 0.499) when using Controlling Nutritional Status (OR: 7.80, 95% CI: 2.17-28.07, P = 0.011), Geriatric Nutritional Risk Index (OR: 4.30, 95% CI: 2.78-6.66, P < 0.001), and Prognostic Nutrition Index (OR: 4.67, 95% CI: 2.38-9.17, P = 0.023).

Conclusions

Malnutrition was significantly associated with all-cause mortality risk following ACS, regardless of ACS type, ethnicity, and income status, underscoring the importance of screening and interventional strategies for patients with malnutrition.

Prevalence and prognostic importance of malnutrition, as assessed by four different scoring systems, in elder patients with heart failure

BACKGROUND AND AIMS

The lack of standard diagnostic criteria in elder patients with heart failure (HF) makes it challenging to diagnose and manage malnutrition. We aimed to explore the prevalence of malnutrition, its associations and prognostic significance among elder patients with HF using four different nutritional scoring systems.

METHODS AND RESULTS

Consecutively presenting patients aged ⩾65 years, diagnosed with HF, and admitted to HF care unit of Fuwai Hospital CAMS&PUMC (Beijing, China) were assessed for nutritional indices. In total, 1371 patients were enrolled (59.4% men; mean age 72 years; median NT-proBNP 2343 ng/L). Using scores for the prognostic nutritional index (PNI) ≤38, controlling nutritional status (CONUT) score >4, geriatric nutritional risk index (GNRI) ≤91, and triglycerides, total cholesterol, and body weight index (TCBI) ≤1109, 10.4%, 18.3%, 9.2%, and 50.0% of patients had moderate or severe malnutrition, respectively. There was a strong association between worse scores and lower body mass index, more severe symptoms, atrial fibrillation, and anemia. The mortality over a median follow-up of 962 days (interquartile range (IQR): 903-1029 days) was 28.3% (n = 388). For those with moderate or severe condition, 1-year mortality was 35.2% for PNI, 28.3% for CONUT, 28.0% for GNRI, and 19.1% for TCBI. Malnutrition, defined by any of the included indices, showed added prognostic value when incorporated into a model and included preexisting prognostic factors (C-statistic: 0.711). However, defining malnutrition by the CONUT score yielded the most significant improvement in the prognostic predictive value (C-statistic: 0.721; p < 0.001).

CONCLUSION

Malnutrition is prevalent among elder patients with HF and confers increased mortality risk. Among the nutritional scores studied, the CONUT score was most effective in predicting the mortality risk.

CLINICAL TRIAL REGISTRATION

URL: ClinicalTrials.gov; Unique Identifier: NCT02664818.

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.

The Predictive Value of Different Nutritional Indices Combined with the GRACE Score in Predicting the Risk of Long-Term Death in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Nutritional status is associated with prognosis in acute coronary syndrome (ACS) patients. Although the Global Registry of Acute Coronary Events (GRACE) risk score is regarded as a relevant risk predictor for the prognosis of ACS patients, nutritional variables are not included in the GRACE score. This study aimed to compare the prognostic ability of the Geriatric Nutritional Risk Index (GNRI) and Prognostic Nutritional Index (PNI) in predicting long-term all-cause death in ACS patients undergoing percutaneous coronary intervention (PCI) and to determine whether the GNRI or PNI could improve the predictive value of the GRACE score. A total of 799 patients with ACS who underwent PCI from May 2018 to December 2019 were included and regularly followed up. The performance of the PNI in predicting all-cause death was better than that of the GNRI [C-index, 0.677 vs. 0.638, p = 0.038]. The addition of the PNI significantly improved the predictive value of the GRACE score for all-cause death [increase in C-index from 0.722 to 0.740; IDI 0.006; NRI 0.095; p < 0.05]. The PNI was superior to the GNRI in predicting long-term all-cause death in ACS patients undergoing PCI. The addition of the PNI to the GRACE score could significantly improve the prediction of long-term all-cause death.

Prognostic Nutritional Index and Major Cardiovascular Events in Patients Undergoing Invasive Coronary Angiography: A Clinical Retrospective Study

We aimed to examine whether prognostic nutritional index (PNI) could serve as an auxiliary predictor for major cardiovascular events (MCEs) in patients undergoing invasive coronary angiography (ICA). A total of 485 participants were enrolled, divided into low-PNI (≥47.40) and high-PNI (<47.40) groups. ICA determined the stenotic vessels of coronary artery disease. The primary outcome was incidental MCEs, a composite of all-cause death, non-fatal myocardial infarction, non-fatal stroke, or rehospitalization of in-stent restenosis. There were 47 (9.69%) MCEs during the 3.78-years follow-up. The cumulative incidence of MCEs was significantly higher in the low-PNI patients compared with the high-PNI patients (17.07% vs. 7.18%, p = 0.001). Malnutrition risk (low PNI) was significantly and independently associated with a higher risk of MCEs (hazard ratios: 2.593, 95% confidence intervals [CI]: 1.418−4.742). Combined use of the number of stenotic vessels with malnutrition risk showed a higher capacity to predict the MCEs than the presence of stenotic vessels alone (areas under the receiver operator characteristic curve: 0.696 [95% CI, 0.618−0.775] vs. 0.550 [95% CI, 0.466−0.633], p = 0.013). In conclusion, lower PNI levels may predict a higher risk of cardiovascular events in patients undergoing ICA, which supports the necessity of the risk assessment of nutrition status and guide the clinical treatment on strengthening nutritional support before ICA is performed, as well as nutritional intervention after ICA.

Prognostic Nutritional Index Predicts Contrast-Induced Nephropathy in Patients with Acute Coronary Syndrome

This study evaluated the effectiveness of prognostic nutritional index (PNI) in predicting contrast induced nephropathy (CIN) in patients with acute coronary syndrome (ACS). This study included 925 ACS patients (mean age 62.5 ± 12.4 years, 73.5% male); 604 were diagnosed as unstable angina pectoris/non–ST-elevation myocardial infarction (USAP/NSTEMI) and 321 as ST-elevation myocardial infarction (STEMI). The PNI formula was: 10 × serum albumin (g/dL) + .005 × total lymphocyte count (/mm3). The patients were divided into two groups: CIN (n = 232) and non-CIN (n = 693). Patients without CIN had a significantly lower PNI than patients with CIN (44.3 ± 6.9 vs 54.7 ± 7.4; P < .001). In the receiver operating characteristic (ROC) curve analysis, the cut-off value for PNI of 48.6 has 80% specificity and 81% sensitivity in predicting CIN (area under the ROC curve (AUC): .87, 95% CI [.84–.89]). PNI <48.6 (odds ratio (OR): 6.765, P < .001), pre-procedural creatinine levels (OR: 6.223, P < .001), left ventricular ejection fraction (LVEF) (OR: .960, P < .001), age (OR: 1.025, P = .005), diabetes mellitus (DM) (0R: 1.768, P = .006), contrast amount (OR: 1.003, P = .038), and having STEMI (OR: .594, P = .029) were found independently associated with CIN. PNI is a strong independent predictor of CIN in ACS patients.

Low alanine aminotransferase levels are independently associated with mortality risk in patients with atrial fibrillation

Extremely low alanine aminotransferase (ALT) may reflect aging, frailty, sarcopenia, and malnutrition in several cardiovascular diseases, but the association between low ALT and patient characteristics, cardiovascular and all-cause mortality is not well investigated in the population with atrial fibrillation. We conducted a post hoc analysis of a prospective, observational multicenter study. Patients with nonvalvular AF in the SAKURA AF Registry (n = 3156) were classified into 3 tertiles according to baseline ALT: first (ALT ≤ 15 U/L, n = 1098), second (15 < ALT < 23 U/L, n = 1055), and third (ALT ≥ 23 U/L, n = 1003). The first tertile had an older age; lower body mass index (BMI); higher prevalence of heart failure; and lower hemoglobin, total cholesterol, and triglycerides (all P < 0.05). During median 39.2 months follow-up, the first tertile had significantly higher incidences of cardiovascular and all-cause mortality (log-rank P < 0.001). Lower ALT was significantly associated with the incidence of cardiovascular and all-cause mortality, even after adjusting for clinically relevant factors (P < 0.05). Low ALT may reflect aging, sarcopenia, and malnutrition and be independently associated with a high risk of all-cause mortality in patients with AF.

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.

Association of Four Nutritional Scores With All-Cause and Cardiovascular Mortality in the General Population

Background and Aims

Malnutrition is a well known risk factor for adverse outcomes in patients with cancer, cardiovascular disease (CVD) and chronic kidney disease, but epidemiological evidence on its relationship with the long-term risk of all-cause mortality and cardiovascular death is limited.

Methods

A total of 20,116 adults from the United States National Health and Nutrition Examination Survey 2007–2014 were enrolled. The Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT) score, and Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI) were calculated at baseline. Cox regression and the Kaplan–Meier analysis were conducted when participants were divided into three groups according to the tertiles of objective nutritional scores. Restricted cubic spline was performed to further explore the shape of the relationship between all-cause mortality, cardiovascular death, and nutritional scores. In addition, the area under the curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were conducted to assess which nutritional scores have the greatest predictive value for all-cause death and cardiovascular death in the general population.

Results

The cumulative incidence of all-cause death and cardiovascular death was significantly higher in participants with a higher CONUT score, lower GNRI, and lower PNI. TCBI showed the worst performance on grading and risk assessment. After adjusting confounding factors, the lowest PNI and GNRI tertile and highest COUNT score were independently and significantly associated with increased risk of all-cause death (all P < 0.01) and cardiovascular death (all P < 0.05) analyzed by a multivariate Cox regression model. An L-shaped association between the HR (hazard ratio) of all-cause mortality and nutritional scores (GNRI, PNI and TCBI) was observed in the overall populations. In addition, the PNI had the highest predictive value for all-cause mortality [AUC: 0.684, 95% confidence interval (CI): 0.667–0.701] and cardiovascular death (AUC: 0.710, 95% CI: 0.672–0.749) in the general population compared with other nutritional scores.

Conclusion

The poorer the nutritional status of the general population, the higher the all-cause mortality and cardiovascular mortality. The PNI score may provide more useful predictive values than other nutritional scores.

Dipeptidyl peptidase-4 inhibitors reduced long-term cardiovascular risk in diabetic patients after percutaneous coronary intervention via insulin-like growth factor-1 axis

Dipeptidyl-peptidase-4 inhibitors (DPP4i) have been the most used antidiabetic medications worldwide due to their good safety profiles and tolerability with a low risk of hypoglycemia, however, large cardiovascular outcome trials (CVOTs) have not shown any significant the prognostic superiority. On the contrary, since observational studies have suggested the effects of DPP4i are enhanced some populations, such as Asians and those who without overweight, their prognostic benefit is still under debate. The aim of this study was thus to assess the prognostic impact of DPP4i in patients with both diabetes and coronary artery disease (CAD) who underwent percutaneous coronary intervention (PCI) through the insulin-like growth factor-1 (IGF-1) axis, a substrate of DPP4. This single-center analysis involved consecutive Japanese diabetic patients who underwent PCI for the first time between 2008 and 2018 (n = 885). Primary and secondary endpoints were set as cardiovascular (CV) death and the composite of CV death, non-fatal myocardial infarction and ischemic stroke (3P-MACE). Serum levels of IGF-1 and its main binding protein (insulin-like growth factor binding protein-3: IGFBP-3) were measured. In consequences, unadjusted Kaplan-Meier analyses revealed reduced incidences of CV-death and 3P-MACE by DPP4i, which was particularly enhanced in patients who were not overweight (BMI ≤ 25). Multivariate Cox hazard analyses consistently indicated reduced risks of CV death by DPP4i at PCI (hazard ratio (HR) 0.39, 95% confidence interval (CI) 0.16-0.82, p = 0.01) and 3P-MACE (HR 0.47, 95% CI 0.25-0.84, p = 0.01), respectively. Moreover, elevated IGF-1 activity indicated by the IGF-1/IGFBP-3 ratio was associated with decreased risks of both endpoints and it was significantly higher in patients with DPP4i (p < 0.0001). In conclusion, the findings of the present study indicate beneficial effects of DPP4i to improve outcomes in Japanese diabetic patients following PCI, which might be mediated by DPP4-IGF-1 axis.

Combining Prognostic Nutritional Index and Brain Natriuretic Peptide as a Predicting Tool for Heart Transplantation

Our study aimed to evaluate the potential of prognostic nutritional index (PNI) and Brain natriuretic peptide (BNP) in predicting the prognosis of heart transplantation (HTx). We retrospectively investigated 489 patients undergoing HTx between 2015 and 2020 in our center. The relationship between preoperative index and prognosis was analyzed respectively, the optimal cut-off values for preoperative PNI and BNP level were evaluated with receiver operating curve analysis. Uni-variate analysis and multivariate analysis were used to compare baseline data (sex, age, diagnosis, etc.) of groups divided by the level of PNI and BNP. Propensity score matching (PSM) was applied to eliminate bias. We calculated the C-index from the prediction efficiency of PNI and BNP. During the period, 489 recipients undergoing HTx in our center were included according to the inclusion criteria; 383 (78.3%) males and 106 (21.7%) females were included in this study, with a median age of 47.57 years old. The ROC curve showed that the optimal cut-off values of each indicator were verified as 49.345 for PNI, and 4397.500 for BNP. The multivariate analyses indicated that PNI (p = 0.047), BNP (p = 0.024), age (p = 0.0023), and waiting time (p = 0.012) were risk factors for all-cause death after HTx. Propensity score matching generated 116 pairs based on PNI level and 126 pairs based on BNP level, and the results showed that OS (overall survival) was significantly correlated with PNI (n = 232, p = 0.0113) and BNP (n = 252, p = 0.0146). Our study implied that higher PNI and lower BNP level had direct correlation with better survival after HTx. Combining PNI and BNP together would be a potential clinical preoperative instrument to predict the survival of patients after HTx, especially in short-term survival.

A novel nutritional index as a predictor of mortality in dilated cardiomyopathy: a retrospective study

BACKGROUND

Research has associated nutritional status with the prognosis of cardiovascular diseases. This study aimed to investigate the prognostic value of a novel nutritional index, triglycerides × total cholesterol × body weight index (TCBI), in patients with dilated cardiomyopathy (DCM).

METHODS

This retrospective cohort study enrolled 445 patients with DCM. The median follow-up period was 2.8 years, and the primary endpoint was all-cause death.

RESULTS

During follow-up, the all-cause mortality was observed in 135 out of 445 patients (30.3%). In Kaplan-Meier survival analysis, the third TCBI tertile had a lower mortality risk (T3 vs. T2 vs. T1: 16.9% vs. 35.1% vs. 38.9%; log-rank P < 0.001). In the multivariable Cox regression analysis, patients in the third tertile were associated with a decreased mortality, whereas there was no significant difference between the T2 and T1 groups. Moreover, TCBI could significantly improve risk stratification (continuous net reclassification improvement and integrated discrimination improvement) over the Geriatric Nutritional Risk Index (GNRI) and N-terminal pro-brain natriuretic peptide (NT-proBNP).

CONCLUSIONS

TCBI is independently associated with long-term survival in patients with DCM. Combination of TCBI and other biomarkers, such as GNRI and NT-proBNP, can significantly improve prognostic prediction. Further studies with larger sample size are required to validate our results.

Prognostic nutritional index and the risk of acute kidney injury in patients with acute coronary syndrome

OBJECTIVE

Recent studies have linked malnutrition with undesirable outcomes in cardiovascular diseases. However, the underlying mechanism is unknown. Contrast-induced acute kidney injury (CI-AKI) increased cardiovascular mortality after percutaneous coronary intervention (PCI). This study hypothesizes that prognostic nutritional index (PNI) plays a role in the development of CI-AKI in patients with acute coronary syndrome undergoing emergency PCI.

METHODS

This study enrolled 551 patients. PNI was determined as 10× serum albumin (g/dL)+0.005×total lymphocyte count (mm3). CI-AKI was characterized as the increase in serum creatinine ≥0.3 mg/dL level within 48 h after PCI. Patients were classified as either CI-AKI (+) or CI-AKI (-).

RESULTS

CI-AKI has occurred in 72 of 551 patients (13.1%). PNI was significantly lower in the CI-AKI (+) group than in the CI-AKI (-) group (44.4±6.6 versus 47.2±5.8, p<0.001, respectively). Multivariate logistic regression analysis showed that PNI [odds ratio, OR: 1.631, 95% confidence interval (CI): 1.168-2.308, p=0.02] and estimated glomerular filtration rate (OR: 3.26, 95%CI 1.733-6.143, p<0.001) were independent risk factors for CI-AKI.

CONCLUSIONS

PNI is an independent risk factor for CI-AKI. The development of CI-AKI may be the mechanism responsible for the relationship between poor nutritional status and adverse cardiac events.

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.

The role of prognostic nutritional index in predicting amputation in patients with lower extremity peripheral artery disease

Introduction: Lower-extremity peripheral artery disease (PAD) can lead to a wide spectrum of symptoms that can progress from claudication to amputation. The prognostic nutritional index (PNI), which is calculated using the levels of albumin and lymphocyte, is an accepted indicator of immunological and nutritional status. In this study, the association between nutritional status determined using the PNI, and extremity amputation in patients with lower-extremity PAD was investigated.

Methods: Lower-extremity PAD patients who had been admitted to the cardiology clinic of the Dışkapı Yıldırım Beyazıt Training & Research Hospital with stage 2b or higher claudication, and who were technically unsuitable for revascularization or underwent unsuccessful revascularization procedure were enrolled in this retrospective study. Patients were grouped according to whether or not limb amputation had been performed previously. Potential factors were tested to detect independent predictors for amputation with logistic regression analysis.

Results: A study group was formed with 266 peripheral artery patients. The amputated group (39 patients) had a higher number of hypertensive (76.9% vs 57.7%; P = 0.032) and diabetic (92.3% vs 54.2%; P <0.001) patients than those in the non-amputated group (227 patients). The median PNI value of the amputated group was lower than that of the non-amputated group (31.8 vs 39.4; P <0.001). Multivariate logistic regression showed that the PNI (OR: 0.905, 95% CI: 0.859 – 0.954; P <0.001) was independently related with amputation.

Conclusion: Immune-nutritional status based on PNI was independently associated with limb amputation in patients with lower-extremity PAD.

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.

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 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.

Predictive value of the geriatric nutritional risk index in percutaneous coronary intervention with rotational atherectomy

The prognostic value of the geriatric nutritional risk index (GNRI) in patients undergoing percutaneous coronary intervention (PCI) with rotational atherectomy (RA) remains unknown. Therefore, we aimed to clarify whether the GNRI could predict major adverse cardiac events (MACE) in patients undergoing PCI with RA. A total of 206 patients who underwent PCI with RA from January 2009 to December 2017 were retrospectively tracked. The patients were divided into 2 groups based on the GNRI value on admission. MACE comprised all-cause death, target lesion revascularization (TLR), target vessel revascularization (TVR), and myocardial infarction. One year of follow up was completed in 95.6% of patients. During this period, 50 cases of MACE were observed (all-cause death, 32 cases; TLR, 21 cases; and TVR, 2 cases). Patients with a low GNRI (< 98) had a significantly higher incidence of MACE than did patients with a high GNRI (≥ 98) (37.9% vs. 15.5%, log-rank p < 0.05). The GNRI was an independent predictor of MACE (hazard ratio, 0.94; 95% confidence interval [CI], 0.92-0.97). Furthermore, the GNRI had better predictive power than did its components alone (i.e. body mass index and serum albumin level) (net-reclassification improvement, 0.39; 95% CI, 0.07-0.71; p = 0.01; integrated discrimination improvement, 0.02; 95% CI, - 0.01-0.04; p = 0.07). The GNRI on admission is a predictor of MACE after PCI with RA. Further studies are required to determine whether intensive medical therapy could improve clinical events, particularly cardiovascular death and revascularization, in this population.

A Novel Nutritional Index Serves as A Useful Prognostic Indicator in Cardiac Critical Patients Requiring Mechanical Circulatory Support

BACKGROUND

A poor nutritional status has been gathering intense clinical interest recently as it has been suggested to associate with adverse outcomes in patients in the intensive care unit (ICU). However, there is still no established nutritional index dominantly used in clinical practice. We have previously proposed a novel nutritional index, which can be calculated using serum levels of triglycerides, total cholesterol, and body weight (TCBI). In this study, to expand the application of TCBI for critical patients, we investigated the usefulness of TCBI to predict prognosis in hemodynamically unstable patients with percutaneously implantable mechanical circulatory support (MCS) devices in the ICU.

PATIENTS AND METHODS

This is a retrospective analysis of a multicenter registry consisting of three Juntendo University hospitals in Japan involving patients who received MCS devices, including intra-aortic balloon pumping (IABP) with or without veno-arterial extracorporeal membrane oxygenation (VA-ECMO), between 2012 and 2016 (n = 439). The median follow-up period was 298 days.

RESULTS

Spearman's correlation coefficient between TCBI and the geriatric nutritional risk index (GNRI) was 0.44 (p < 0.0001), indicating a moderate positive correlation for these two variables. Unadjusted Kaplan-Meier analysis demonstrated reduced risks of all-cause and cardiovascular mortalities in patients with higher tertiles of TCBI. Furthermore, adjusted multivariate Cox proportional hazard analyses revealed that the highest tertile TCBI was an independent predictor for the reduced risk of all-cause mortality (hazard ratio (HR): 0.22, 95% confidence interval: 0.10-0.48, p < 0.0001) and cardiovascular mortality (0.20, 0.09-0.45, p < 0.0001).

CONCLUSION

A novel and simple to calculate nutritional index, TCBI, can be applicable as a prognostic indicator in hemodynamically unstable patients requiring MCS devices.

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.