The Association of Controlling Nutritional Status Score and Prognostic Nutritional Index with Cardiovascular Diseases: the Fukuoka Kidney Disease Registry Study

Lower prognostic nutritional index is associated with a greater decline in long-term kidney function in general population

BACKGROUND

The prognostic nutritional index (PNI) is an integrated index of serum albumin and peripheral lymphocyte count, where low values may reflect poor nutritional status or inflammation. The long-term effect of PNI on renal function is not well known in the general population. Therefore, we investigated whether the PNI is related to renal function changes in the general population.

METHODS

Data from participants who underwent a health check-up between 2002 and 2018 were retrospectively examined. PNI was computed by 10×serum albumin (g/dL) + 0.005×total lymphocyte count (per mm3). The primary exposure was PNI, divided into quintiles. The primary outcome was a 25% decline in eGFR from baseline over a 5-year follow-up period.

RESULTS

This study included 15,437 participants (mean [standard deviation, SD] age, 43.7 [7.9] years; 46% male). The median (interquartile ranges) 5-year change of eGFR was - 5.2 (- 18.8, - 3.3) mL/min/1.73m2. A total of 2,272 participants (14.7%) experienced a 25% decline in eGFR at 5 years. Compared to the highest PNI group, lower PNI groups were at greater risk for a 25% decline in eGFR; odds ratios and 95% confidence intervals were 1.42 (1.20, 1.68), 1.23 (1.04, 1.45), 1.21 (1.03, 1.43), and 1.19 (1.01, 1.40) for the first to fourth quintiles of PNI, respectively. In linear regression analyses, lower PNI groups also showed a larger decline in eGFR over 5 years compared to the highest PNI group.

CONCLUSIONS

Lower PNI was associated with a larger decline in renal function in the general population.

A Nomogram Incorporating Inflammation and Nutrition Indexes for Predicting Outcomes in Patients with Acute Coronary Syndrome and Chronic Kidney Disease

Background

Inflammation, immunity, and nutriture are associated with prognosis in cardiovascular disease. We aimed to devise a novel nomogram model based on inflammation and nutrition indexes that accurately predicts Major adverse renal and cardiovascular events (MARCE) in patients diagnosed with acute coronary syndrome (ACS) and coexisting chronic kidney disease (CKD).

Methods

We enrolled 685 individuals with ACS and CKD between January 2013 and August 2021. All patients were randomized into the training (70%) and validation (30%) cohorts. Univariable and multivariable Cox regression analyses were used to identify independent predictors for MARCE. The performance of the nomogram model was evaluated using receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis (DCA). The performance of the nomogram and GRACE score were compared.

Results

The nomogram included six variables: age, left ventricular ejection fraction, systemic immune-inflammatory index (SII), controlling nutritional status (CONUT) score, use of beta-blockers, and use of statins. The constructed nomogram demonstrated robust predictive performance, achieving ROC ranging from 0.830 to 0.935 in the training set and 0.793 to 0.889 in the validation set, respectively. Furthermore, the calibration curves exhibited excellent agreement between the predicted probabilities and the observed outcomes, indicating the reliability of the nomogram's predictions. Finally, the DCA confirmed the clinical value of the nomogram by demonstrating its potential to improve decision-making processes in the context of managing the condition under study. Compared with the GRACE score, the nomogram was superior in terms of both discrimination and reclassification ability.

Conclusion

Our novel nomogram, which incorporates the CONUT score and SII, shows promising utility for predicting MARCE in patients with ACS and CKD. The identification of patients at heightened risk through our nomogram model is paramount as it serves as a cornerstone for the implementation of targeted interventions aimed at modifiable variables.

Associations between the Serum Triglyceride Level and Kidney Outcome in Patients with Chronic Kidney Disease: The Fukuoka Kidney disease Registry Study

AIMS

Hypertriglyceridemia is a risk factor for chronic kidney disease (CKD). However, whether or not it predicts the risk of CKD progression is unknown. This study evaluated the association between serum triglyceride (TG) levels and kidney disease progression in patients with non-dialysis-dependent CKD.

METHODS

The Fukuoka Kidney disease Registry (FKR) study was a multicenter, prospective longitudinal cohort study. In total, 4,100 patients with CKD were followed up for 5 years. The primary outcome was the incidence of CKD progression, defined as a ≥ 1.5-fold increase in serum creatinine level or the development of end-stage kidney disease. The patients were divided into quartiles according to baseline serum TG levels under non-fasting conditions: Q1 ＜87 mg/dL; Q2, 87-120 mg/dL; Q3, 121-170 mg/dL, and Q4 ＞170 mg/dL.

RESULTS

During the 5-year observation period, 1,410 patients met the criteria for CKD progression. The multivariable-adjusted Cox proportional hazards model showed a significant association between high serum TG level and the risk of CKD progression in the model without macroalbuminuria as a covariate (multivariable hazard ratio[HR] for Q4 versus Q1, 1.20; 95% CI, 1.03-1.41; P=0.022), but the significance disappeared after adjusting for macroalbuminuria (HR for Q4 versus Q1, 1.06; 95% CI, 0.90-1.24; P=0.507).

CONCLUSIONS

The present findings suggest that individuals with high serum TG levels are more likely to develop CKD progression than those without; however, whether or not higher serum TG levels reflect elevated macroalbuminuria or lead to CKD progression via elevated macroalbuminuria is unclear.

Relationship between HALP and PNI score with 1-month mortality after CABG

Background

Coronary heart disease (CHD) is the most common cause of cardiovascular disease (CVD). CHD is among the most common causes of mortality and morbidity world wide. In addition, CHD is one of the most important causes of health expenditures world wide. Today, coronary artery bypass grafting (CABG) operations are a widely used surgical procedure and have an important place in the treatment of CHD. Many scoring systems have been evaluated to estimate the risk of mortality and morbidity. 30-day mortality rates after CABG have been reported as 1-4% in large-scale studies.

Objectives

The aim of our study was to evaluate the relationship between 1-month mortality in patients undergoing CABG and the Hemoglobin, albumin, lymphocyte, platelet index (HALP score) and Prognostic nutritional index (PNI) calculated using laboratory data in the preoperative period.

Methods and design

A total of 239 patients who underwent CABG were evaluated retrospectively. Preoperative biochemical and hemogram values, demographic characteristics, comorbidities, HALP score and PNI values of the patients were recorded. The patients were divided into two groups: Exitus group (n = 51) and survival group (n = 188). The data of the two groups were compared, mainly HALP score and PNI.

Results

It was observed that 51 of 239 patients (21.3%) developed exitus during the 30-day follow-up after CABG. When demographic data are compared; advanced age, female gender, history of DM (Diabetes Mellitus), history of HL (hyperlipidemia) and smoking were found to be associated with mortality. When laboratory data are compared; high troponin levels, low hemoglobin, low lymphocyte and low albumin levels were found to be associated with mortality. Low HALP score (p < 0.001) and low PNI (p < 0.001) were also found to be associated with mortality. In univariate and multivariate regression analysis; advanced age, history of DM, HALP score and PNI were found to be independent predictors of 30-day mortality after CABG. It was determined that a cut-off value of 0.29 for the HALP score and 39.1 for PNI had found, respectively, 81 and 79% sensitivity and 82 and 80% specificity.

Conclusion

Preoperatively measured HALP score and PNI can be used to predict 1-month mortality after CABG.

Impact of Age on Prescribing Patterns of Cardiovascular Medications in Older Japanese Patients with Non-Dialysis-Dependent Chronic Kidney Disease: A Cross-Sectional Study

AIM

Older patients with chronic kidney disease (CKD) are more likely to be excluded from clinical trials. This exclusion affects the quality of cardiovascular disease (CVD) prevention in this population.

METHODS

Baseline data from the Fukuoka Kidney Disease Registry (FKR) cohort, which included 4476 adult patients with CKD stages G1-G5, were cross-sectionally analyzed to compare the use of recommended drugs for preventing CVD in each age group.

RESULTS

Different prescribing patterns were observed according to age for the cardiovascular drug classes. Older patients with CKD were less likely to receive renin-angiotensin system (RAS) inhibitors and were more likely to receive calcium channel blockers. The proportion of anticoagulation prescriptions for patients with CKD and atrial fibrillation decreased in the older age group (≥ 75 years). However, the proportion of antiplatelet therapy in patients with ischemic CVD increased linearly with age, even in the very old group aged ≥ 85 years. These findings suggest a severe cardiovascular burden in patients with CKD. Notably, RAS inhibitor use was avoided in the older group despite a severe cardiovascular burden, such as a high prevalence of CVD history and massive albuminuria ＞300 mg/g creatinine. This finding indicates that an older age independently contributed to the non-use of RAS inhibitors, even after adjusting for other covariates.

CONCLUSIONS

This study suggests that age is a potential barrier to the treatment of patients with CKD and highlights the need to establish individualized treatment strategies for cardiovascular protection in this population.

Clinical implications of four different nutritional indexes in patients with IgA nephropathy

Background

Immunoglobulin A nephropathy (IgAN) is the most prevalent form of chronic kidney disease (CKD), marked by diverse pathological patterns and variable prognostic outcomes. Nutritional indexes are crucial for disease assessment and prognosis prediction. This study investigates associations between nutritional indexes and renal function in patients with IgAN.

Methods

A cohort of 736 adults diagnosed with IgAN, who underwent renal biopsy at the First Hospital of Jilin University between January 2010 and October 2022, was examined. Clinical and laboratory data were reviewed, and four nutritional indexes were calculated: controlling nutritional status (CONUT) score, geriatric nutritional risk index (GNRI), body mass index (BMI), and prognostic nutritional index (PNI). Cox-proportional hazard analysis evaluated factors associated with end-stage renal disease (ESRD).

Results

Patients with ESRD showed significantly lower GNRI (91.84 vs. 98.94, p < 0.001) and median PNI (41.90 vs. 46.30, p < 0.001), with higher median CONUT score (2.00 vs. 1.00, p = 0.001) compared to those without ESRD. PNI, GNRI, and CONUT scores correlated significantly with C2 in MEST-C classification. Kaplan-Meier analysis indicated increased ESRD probability in individuals with specific thresholds of PNI, GNRI, or CONUT scores. Additionally, GNRI emerged as an independent predictor of ESRD (hazard ratio: 0.963, 95% CI: 0.940-0.979, p < 0.001), along with platelet count, serum creatinine, eGFR (CKD-EPI), and triglyceride levels.

Conclusion

GNRI, PNI, and CONUT scores hold potential in reflecting IgAN severity and predicting ESRD risk. GNRI especially may serve as a valuable tool for identifying high-risk individuals for ESRD in IgAN.

Role of composite objective nutritional indexes in patients with chronic kidney disease

Malnutrition persists as one of the most severe symptoms in patients with chronic kidney disease (CKD) globally. It is a critical risk factor for cardiovascular and all-cause mortality in patients with CKD. Readily available objective indicators are used to calculate composite objective nutritional assessment indexes, including the geriatric nutritional risk index, prognostic nutritional index, and controlling nutritional status score. These indexes offer a straightforward and effective method for evaluating nutritional status and predicting clinical outcomes in patients with CKD. This review presents supporting evidence on the significance of composite nutritional indexes.

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.

Controlling nutritional status score is associated with renal progression, cardiovascular events, and all-cause mortality in biopsy-proved diabetic kidney disease

Background: The Controlled Nutritional Status (CONUT) score, calculated from albumin, total cholesterol, and lymphocyte count, is a useful indicator for immune-nutritional assessment and is associated with the prognosis of various diseases. However, its relationship with renal outcomes, cardiovascular disease (CVD), and all-cause mortality in patients with diabetic kidney disease is unclear. Methods: This retrospective single-center study enrolled 336 patients with biopsy-confirmed diabetic kidney disease from August 2009 to December 2018. The outcomes were progression to end-stage renal disease (ESRD), CVD events, and death. Univariate and multivariate Cox regression analyses were performed to estimate the association between confounding factors and outcomes. The Kaplan-Meier curve was used to compare the outcomes of the patients according to the median CONUT score. The area under the curve (AUC) evaluated with time-dependent receiver operating characteristics was used to test discriminative power of COUNT score. Results: During a median follow-up period of 5.1 years. The Kaplan-Meier analysis showed that patients in the high CONUT group (CONUT score > 3) had a significantly higher incidence of ESRD, CVD events, and all-cause mortality than those in the low CONUT group (CONUT score ≤ 3). The multivariate COX regression analysis indicated that, The CONUT score was an independent predictor of ESRD (hazards ration [HR] = 1.129, 95% confidence interval [CI] 1.037-1.228, p = 0.005), CVD events (HR = 1.159, 95% CI 1.057-1.271, p = 0.002), and all-cause mortality (HR = 1.299, 95% CI 1.143-1.478, p < 0.001). Conclusion: The CONUT score is an independent risk factor for ESRD, CVD events, and overall death in patients with diabetic kidney disease.