A novel and useful predictive indicator of prognosis in ST-segment elevation myocardial infarction, the prognostic nutritional index

Role of Nutritional Status in Acute Coronary Syndrome Patients with Diabetes

Background and Objectives: This study aims to investigate the effect of Type 2 diabetes mellitus (DM) on nutritional status in acute coronary syndrome (ACS) patients and its relationship with various metabolic and hematologic parameters. Materials and Methods: A retrospective and cross-sectional design was used to analyze 485 acute coronary syndrome (ACS) patients who underwent angiography at Fethi Sekin City Hospital between 1 January 2020 and 1 January 2025. Clinical data, biochemical parameters (hemogram, glucose, creatinine, uric acid, lactate dehydrogenase (LDH), albumin, and cholesterol levels) were retrospectively analyzed. The Prognostic Nutrition Index (PNI) and CONUT score were calculated manually. Results: A total of 485 patients were included in this study. Patients were divided into two groups: patients with DM (n = 167) and patients without DM (n = 318). Glucose levels (p < 0.001) and triglyceride levels (p = 0.014) were significantly higher in patients with diabetes, while LDL cholesterol and total cholesterol levels were lower (p < 0.01). In addition, hemoglobin (p < 0.001), albumin (p = 0.010), and PNI scores (p = 0.014) were lower in patients with diabetes. Although CONUT scores were higher in patients with diabetes, this difference was not statistically significant (p = 0.267). Significant differences were observed in lipid profile and inflammation parameters in STEMI and NSTEMI subgroups, especially in patients with diabetes. In particular, triglyceride and neutrophil levels were found to be higher in NSTEMI patients among patients with diabetes. Conclusions: The PNI score may be a useful prognostic tool for predicting cardiovascular complications and determining treatment strategies in acute coronary syndrome patients with diabetes mellitus in whom nutritional status, inflammation, and lipid metabolism are significantly correlated.

A novel indicator of all-cause mortality in acute coronary syndrome: the CALLY index

AIMS

This study aimed to identify the prognostic significance of the C-reactive protein-albumin-lymphocyte (CALLY) index for predicting all-cause mortality in acute coronary syndrome (ACS) patients who have undergone primary percutaneous coronary intervention (pPCI) for revascularization.

MATERIALS AND METHODS

505 patients who presented with ACS and underwent pPCI were retrospectively included in this single center study. CALLY index and other five prognostic scores were calculated. The median follow-up was 40 months. All-cause mortality was defined as the primary endpoint.

RESULTS

The median age of the patients was 59 years, 23.4% were female. The CALLY index was categorized into low (<0.7) and high (≥0.7). Age (p = 0.038), concomitant atrial fibrillation (p = 0.023), previous CABG (p = 0.001), ACE-I/ARB/ARNI use (p = 0.015), diuretic use (p = 0.021), and a low-CALLY index (p < 0.001) were identified as independent predictors of all-cause mortality in multivariate cox regression analysis. When compared to other prognostic scores according to AUC in ROC analysis, the CALLY index demonstrated the best ability to predict all-cause mortality. Additionally, patients with a high-CALLY index exhibited significantly better survival outcomes compared to those with a low-CALLY index (log-rank:p < 0.001).

CONCLUSIONS

CALLY index can be utilized as a novel prognostic score for predicting all-cause mortality in ACS patients who have undergone pPCI.

Predictive value of nutritional scores in non-valvular atrial fibrillation patients: Insights from the AFTER-2 study

BACKGROUND AND AIM

Many scoring systems are used to evaluate malnutrition, but there is no consensus on which scoring system would be more appropriate. We aimed to investigate the effect of malnutrition in patients with non-valvular atrial fibrillation (NVAF) and to compare three scoring systems.

METHODS AND RESULTS

A total of 2592 patients with non-valvular AF from 35 different centers in Turkey were included in this prospective study. All participants were divided into two groups: 761 patients who died and 1831 patients who were alive. The malnutrition status of all participants was evaluated with three scoring systems. The primary outcome was all-cause mortality. The mean age of the population was 68.7 ± 11.1 years, and 55.5 % were female. According to Cox regression analysis, the geriatric nutritional risk index (GNRI) (HR = 0.989, 95 % CI: 0.982-0.997, p = 0.007), controlling nutritional status (CONUT) score (HR = 1.121, 95 % CI: 1.060-1.185, p < 0.001), and prognostic nutritional index (PNI) (HR = 0.980, 95 % CI: 0.962-0.999, p = 0.036) were found to be significant mortality predictors. ROC curve analysis indicated GNRI (AUC = 0.568), CONUT (AUC = 0.572), and PNI (AUC = 0.547) had moderate predictive values. Kaplan-Meier analysis showed that increasing the risk class based on GNRI (p < 0.001) and CONUT (p < 0.001) was associated with decreased survival, while PNI staging had no statistically significant effect (p = 0.266).

CONCLUSIONS

Malnutrition, determined by three scoring systems, was found to be an independent predictor of all-cause mortality in NVAF patients. Nutritional examination may provide useful information for prognosis and risk stratification in patients with NVAF.

Prognostic Nutritional Index as a Predictor of Recurrence in Patients Undergoing Pericardiocentesis: A Retrospective Analysis

Objective: Recurrence of pericardial effusion is possible despite the successful completion of pericardiocentesis and initiation of treatment. Predicting recurrence is important for determining treatment strategies. This study aimed to examine the factors that influence the recurrence of effusion in patients who had undergone pericardiocentesis. Method: A total of 113 patients with the evidence of tamponade or pericardial effusion over 10 mm were included in the study. The mean follow-up period was 49 months. Patients with and without recurrent effusion were divided into two groups. PNI calculation (PNI = 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (mm3) formula was used. Results: Recurrent pericardial effusion was observed in 30 patients during the follow-up period. There was no difference in age, gender, hypertension, LVEF%, hypertension, and appearance of fluid when the two groups were compared. There was a difference in PNI score and presence of malignancy between the two groups (p: 0.031 and 0.042, respectively). Multivariate logistic regression showed that malignancy and PNI score were independent predictors of recurrence in patients undergoing pericardiocentesis (p: 0.015 and p: 0.014, respectively). In the ROC analysis, PNI < 40.75 predicts recurrent pericardial effusion with 75% sensitivity and 58% specificity (AUC: 0.626, 95% CI: 0.509-0.742, and p=0.042). Conclusion: Predictors of recurrence in patients undergoing pericardiocentesis are important for patient follow-up. PNI is a simple and useful score that can be used to predict recurrent pericardial effusion.

Correlation Between Prognostic Nutritional Index, Glasgow Prognostic Score, and Different Obesity-Related Indices in People with Diabetes or Prediabetes

BACKGROUND/OBJECTIVES

The prognostic nutritional index (PNI) and Glasgow Prognostic Score (GPS) are associated with patients' nutritional and immune statuses. One important factor in the pathophysiology of type 2 diabetes mellitus (T2DM) is inflammation. Being present in insulin-target tissues, chronic tissue inflammation has become recognized as a crucial aspect of obesity and type 2 diabetes. This study aimed to compare the PNI and GPS levels of the subjects with T2DM to those of prediabetes (preDM) individuals. Furthermore, the goal was to investigate how these inflammatory markers relate to different types of obesity and whether the combination of PNI, GPS, and obesity-related indices was associated with any particular prognostic variables.

METHODS

In this study, we enrolled one-hundred patients with newly diagnosed T2DM and one-hundred patients with preDM.

RESULTS

Four findings emerged from this observational study. As a first observation, 28% of patients with preDM and 15% of patients with T2DM had a normal weight, while up to 43% of patients with preDM and 60% of patients with T2DM were obese. The second important observation was that the PNI of the T2DM patients was significantly lower than the PNI of the patients with preDM (p < 0.0001). The PNI showed that patients with T2DM had a moderate-to-severe malnutrition status (median value of 38.00). Patients with preDM had a mild-to-moderate malnutrition status (median value of 61.00) at diagnosis. Third, observed in the current study, preDM patients with PNI < 61.00 and T2DM patients with a PNI < 38.00 were associated with significantly higher median values of the waist-to-height ratio (WHtR) (p = 0.041, and p = 0.034, respectively) and body mass index (BMI) (p = 0.016, and p = 0.041, respectively). Fourth, this study also revealed, in the T2DM group, a moderate and statistically significant negative correlation between PNI and weight (rho = -0.322, p = 0.035), waist circumference (WC) (rho = -0.308, p = 0.042), hip circumference (HC) (rho = -0.338, p = 0.039), WHtR (rho = -0.341, p = 0.022), body adiposity index (BAI) (rho = -0.312, p = 0.032), and fasting plasma glucose (FPG) (rho = -0.318, p = 0.029). Additionally, the PNI values expressed a weak negative correlation with BMI (rho = -0.279, p = 0.015), and glycated hemoglobin A1c (HbA1c) (rho = -0.245, p = 0.025). The PNI levels exhibited a single positive correlation, weak but statistically significant, with estimated glomerular filtration rate (eGFR-CKD-EPI) values (rho = 0.263, p = 0.018).

CONCLUSIONS

The findings of this study regarding the correlations between PNI, GPS, and different obesity-related indices in people with diabetes or prediabetes suggest that these indices, which assess nutritional and inflammatory status, can be used as independent predictor factors associated with the four pillars of DM management (glucose, blood pressure, lipids, and weight control) recommended by the American Diabetes Association (ADA).

Protective effects of ginsenoside F2 on isoproterenol-induced myocardial infarction by activating the Nrf2/HO-1 and PI3K/Akt signaling pathways

BACKGROUND

Ginsenoside F2 (GF2) serves as the principal intestinal metabolite resulting from the oral intake of Panax ginseng and Panax quinquefolius, exhibiting antioxidative, hypolipidemic, antitumor, and anti-inflammatory properties. Nevertheless, its effect on myocardial infarction (MI) is still unknown.

PURPOSE

The purpose of this study is to investigate the protective effect and the underlying mechanisms of GF2 against isoproterenol (ISO)-induced MI.

METHODS

ISO-induced H9c2 cardiomyocytes and MI rat models were utilized as in vitro and in vivo models to evaluate the impact of anti-MI of GF2. The underlying mechanisms were investigated using a variety of methodologies, including electrocardiography, Western blot analysis, histopathological examination, immunofluorescence, immunohistochemistry, and ELISA techniques.

RESULTS

In vivo experiments, our results indicated that GF2 significantly ameliorated ISO-induced electrocardiographic (ECG) abnormalities, myocardial fiber necrosis, rupture, fibrosis of myocardial tissues, and suppressed cardiac enzyme activities. Meanwhile, GF2 notably raised the activity of antioxidant enzymes like CAT, GSH, and SOD. Furthermore, it downregulated Keap1 expression level while upregulating NQO1, Nrf2, and HO-1 expression levels. Additionally, GF2 suppressed the expression of the cleaved caspase-3 and pro-apoptotic protein Bax while promoting the expression of anti-apoptotic proteins Bcl-2, p-PI3K, and p-Akt. TUNEL fluorescence results also demonstrated that GF2 effectively inhibited cardiomyocyte apoptosis. Furthermore, consistent with the results of animal experiments, GF2 considerably attenuated ROS generation, changed apoptosis and mitochondrial function, and reduced oxidative stress in ISO-induced H9c2 cardiomyocytes through activating Nrf2/HO-1 and PI3K/Akt signaling pathways.

CONCLUSION

Taken together, GF2 ameliorated MI by preventing cardiocyte apoptosis, oxidative stress, and mitochondrial dysfunction via modulating the Nrf2/HO-1 and PI3K/Akt signaling pathways, showing potential as a treatment strategy for treating MI.

Effect of nutritional status on adverse clinical events in elderly patients with nonvalvular atrial fibrillation: A retrospective cohort study

OBJECTIVE

To explore the influence of nutritional status on adverse clinical events in elderly patients with nonvalvular atrial fibrillation.

METHODS

This retrospective observational cohort study included 196 patients, 75-102-years-old, with nonvalvular atrial fibrillation, hospitalized in our hospital. The nutritional status was assessed using Mini-Nutritional Assessment-Short Form (MNA-SF). Patients with MNA-SF scores of 0-11 and 12-14 were included in the malnutrition and nonmalnutrition groups, respectively.

RESULTS

The average age of the malnutrition group was higher than that of the nonmalnutrition group, and the levels of body mass index (BMI), hemoglobin (HGB), and albumin (ALB) were significantly lower than those of the nonmalnutrition group, with statistical significance (p < .05). The incidence of all-cause death in the malnutrition group was higher than that in the nonmalnutrition group (p = .007). Kaplan-Meier curve indicated that malnutrition patients have a higher risk of all-cause death (log-rank test, p = .001) and major bleeding events (p = .017). Multivariate Cox proportional hazard regression analysis corrected for confounders showed that malnutrition was an independent risk factor of all-cause death (HR = 1.780, 95%CI:1.039-3.050, p = .036). The malnutrition group had a significantly high incidence of major bleeding than the nonmalnutrition group (p = .026), and there was no significant difference in the proportion of anticoagulation therapy (p = .082) and the incidence of ischemic stroke/systemic embolism (p = .310) between the two groups.

CONCLUSIONS

Malnutrition is an independent risk factor of all-cause death in elderly patients with atrial fibrillation. The incidence of major bleeding in malnourished elderly patients with atrial fibrillation is high, and the benefit of anticoagulation therapy is not obvious.

Relation between nutritional status on clinical outcomes of critically ill patients: emphasizing nutritional screening tools in a prospective cohort investigation

BACKGROUND

Malnutrition is a significant concern reported in adult critically ill patients, yet there is no gold standard to assess nutritional status in this population. This study examines the association between nutritional status and clinical outcomes in intensive care unit (ICU) patients using nutritional risk assessment tools and aims to look for the best tool.

METHOD

In a single-center prospective cohort study among 165 patients, the predictive performance of high or low malnutrition risk assessed by Nutritional Risk Screening (NRS), Modified Nutrition Risk in Critically Ill (m-NUTRIC), Mini-Nutritional-Assessment Short-Form (MNA-SF), Controlling Nutritional status (CONUT), and Prognostic Nutritional Index (PNI) were evaluated and compared for mortality, organ failure, length of hospitalization, and mechanical ventilation (MV).

RESULTS

Different assessment tools showed various nutritional statuses. m-NUTRIC and NRS-2002 were found to be associated more strongly relative to other tools with mortality (RR = 1.72; 95% CI, 1.42-2.08) and (RR = 1.37; 95% CI, 1.08-1.72), organ failure (RR = 1.69; 95% CI, 1.44-1.96) and (RR = 1.22; 95% CI, 0.99-1.48), MV (RR = 1.46; 95% CI, 1.27-1.65) and (RR = 1.21; 95% CI, 1.04-1.39) respectively. There was no correlation between malnutrition levels assessed by mentioned tools except for NRS-2002 and length of hospitalization. In predicting mortality or illness severity, the cut points were different for some tools like NUTRIC-score and all assessed outcomes (3.5), MNA-SF and mortality (6.5), CONUT with mortality, and MV (6.5).

CONCLUSIONS

A considerable proportion of patients admitted to the ICU are at high risk for malnutrition. Compared to other tools, m-NUTRIC and NRS-2002 proved superior in predicting clinical outcomes in critically ill patients. Other tools overestimated the risk of malnutrition in the ICU so couldn't predict clinical outcomes correctly.

Prognostic nutritional index during hospitalization correlates with adverse outcomes in elderly patients with acute myocardial infarction: a single-center retrospective cohort study

BACKGROUND AND AIMS

Acute myocardial infarction (AMI) is one of the most prevalent illnesses endangering the elderly's health. The predictive nutritional index (PNI) has been shown in several studies to be a good predictor of nutritional prognosis. In this study, we explored the correlation between PNI during hospitalization and the outcome of elderly AMI patients.

METHODS

Elderly AMI patients in the Cardiac Intensive Care Unit of Huadong Hospital from September 2017 to April 2020 were recruited for analysis. The clinical and laboratory examination data of subjects were retrieved. All enrolled patients were monitored following discharge. The primary clinical endpoints encompass major adverse cardiovascular events (MACEs) and Composite endpoint (MACEs and all-cause mortality). Survival analyses were conducted via the Kaplan-Meier and the log-rank analyses, and the Cox, proportional hazards model, was employed for hazard rate (HR) calculation.

RESULTS

307 subjects were recruited for analysis. The optimal PNI threshold is 40.923. Based on the Kaplan-Meier analysis, the elevated PNI group experienced better prognosis (P < 0.001). Cox analysis demonstrated that the PNI group was a stand-alone predictor for elderly AMI patient prognosis (HR = 1.674, 95% CI 1.076-2.604, P = 0.022). Subgroup analysis showed that the HR of the PNI group was the highest in the ST-segment elevation myocardial infarction (STEMI) subgroup (HR = 3.345, 95% CI 1.889-5.923, P = 0.05), but no discernible difference was observed in the non-ST-segment elevation myocardial infarction (NSTEMI) subgroup.

CONCLUSION

Based on our analyses, the PNI during hospitalization can accurately predict the prognosis of elderly STEMI patients but not that of elderly NSTEMI patients.

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.

Poor Nutritional Status during Recovery from Acute Myocardial Infarction in Patients without an Early Nutritional Intervention Predicts a Poor Prognosis: A Single-Center Retrospective Study

Whether malnutrition during the early phase of recovery from acute myocardial infarction (AMI) could be a predictor of mortality or morbidity has not been ascertained. We examined 289 AMI patients. All-cause mortality and composite endpoints (all-cause mortality, nonfatal stroke, nonfatal acute coronary syndrome, and hospitalization for acute decompensated heart failure) during the follow-up duration (median 39 months) were evaluated. There were 108 (37.8%) malnourished patients with GNRIs of less than 98 on arrival; however, malnourished patients significantly decreased to 91 (31.4%) during the convalescence period (p < 0.01). The incidence rates of mortality and primary composite endpoints were significantly higher in the malnourished group than in the well-nourished group both on arrival and during the convalescence period (All p < 0.05). Nutrition guidance significantly improved GNRI in a group of patients who were undernourished (94.7 vs. 91.0, p < 0.01). Malnourished patients on admission who received nutritional guidance showed similar all-cause mortality with well-nourished patients, whereas malnourished patients without receiving nutritional guidance demonstrated significantly worse compared to the others (p = 0.03). The assessment of GNRI during the convalescence period is a useful risk predictor for patients with AMI. Nutritional guidance may improve the prognoses of patients with poor nutritional status.

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

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

Association of prognostic nutritional index with long-term mortality in patients receiving percutaneous coronary intervention for acute coronary syndrome: a meta-analysis

The predictive value of the prognostic nutritional index (PNI) for the long-term prognosis of patients with acute coronary syndrome (ACS) remains uncertain. Medline, Embase, Cochrane Library, and Google Scholar were searched from inception until January 2023 to study the relationship between all-cause mortality risk and PNI in patients receiving percutaneous coronary intervention for ACS (i.e., primary outcome). Thirteen observational studies were included in this meta-analysis. Analysis of seven studies using PNI as a categorical variable showed a pooled hazard ratio (HR) of all-cause mortality of 2.97 (95% CI 1.65 to 5.34, p = 0.0003, I2 = 89%, n = 11,245) for patients with a low PNI. The meta-analysis also showed a higher risk of major adverse cardiovascular events (MACEs) in patients with a low PNI (HR 2.04; 95% CI 1.59 to 2.61; p < 0.00001; I2 = 21%; n = 8534). Moreover, advanced age, diabetes mellitus, and high Global Registry of Acute Coronary Events risk scores were associated with a high risk of all-cause mortality, whereas a high body mass index was associated with a low risk of all-cause mortality. The results showed an association between a low PNI and an increased risk of long-term mortality in patients undergoing coronary interventions for ACS. Further randomized controlled trials are necessary to confirm these findings.

Impact of the Prognostic Nutritional Index on Postoperative Outcomes in Patients Undergoing Heart Surgery

Background Malnutrition is associated with adverse outcomes in patients undergoing cardiac surgery. The prognostic nutritional index (PNI) is a validated tool for assessing nutritional status in cardiovascular diseases. This study aims to evaluate the prognostic value of PNI in heart surgery patients, including mortality rate, length of hospital and ICU stays, and infection rate, while investigating correlations with demographic and clinical characteristics. Methods A retrospective cross-sectional study was conducted in King Fahad Armed Forces Hospital in Jeddah, Saudi Arabia. Data from electronic medical records of patients undergoing heart surgery between 2019 and 2021 were retrospectively reviewed. The study involved patients with valvular heart disease, including those requiring concomitant procedures. Statistical analysis was conducted using t-tests, logistic regression, and Kaplan-Meier survival curve analysis. Results This study included 264 individuals with a mean age of 56.48±12.11 years. The prevalence of low PNI was 50.80% and high PNI was 49.20%. No significant differences in PNI levels were found between individuals with various clinical conditions, except for target vessel revascularization. The mortality rate was slightly higher in the low PNI group, but not statistically significant. Significant differences in laboratory findings were observed between high and low PNI groups. Individuals with low PNI had longer hospital stays. Conclusion Lower PNI levels consistently correlate with longer hospital stays and higher morbidity and mortality rates, suggesting the potential importance of PNI and other nutritional markers in assessing risk and predicting outcomes in cardiac surgery patients.

Relationship Between Prognostic Nutritional Index and New-Onset Atrial Fibrillation in Patients with Acute ST-Elevation Myocardial Infarction Following Percutaneous Coronary Intervention

Multiple reports relate new-onset atrial fibrillation (NOAF) to poor clinical outcomes in patients with ST-elevation myocardial infarction (STEMI) who received percutaneous coronary intervention (PCI). The prognostic nutritional index (PNI) is a reliable indicator of immunonutritional-inflammatory status, and it is linked to clinical outcomes in cardiovascular disease patients. This research aims to explore the relationship between NOAF and PNI.Overall, 600 STEMI patients treated with PCI were recruited for this retrospective analysis. The patients were categorized into the NOAF group or sinus rhythm (SR) group. Logistic regression and receiver operating characteristic (ROC) curve analyses were conducted to assess PNI estimation. Lastly, the Kaplan-Meier curve was used to compare all-cause mortality between both groups.The combined NOAF incidence in PCI-treated STEMI patients was 7.7%. PNI was independently correlated with NOAF using multivariate regression analyses (odds ratio [OR], 0.824; 95% confidence interval [CI], 0.750-0.906; P < 0.001). In ROC curve analyses, the best PNI threshold value for predicting NOAF was 40.1, with sensitivity, and specificity of 76.09% and 71.30%, respectively area under the curve, 0.787; 95% CI, 0.752-0.819; P < 0.001). After a median of 41-month follow-up, the Kaplan-Meier curve revealed that the NOAF patients displayed an elevated all-cause death incidence compared with SR patients, with a log-rank of P = 0.005.This study demonstrated that PNI is an independent predictor of NOAF in STEMI patients during hospitalization after PCI, which is strongly correlated with a poor outcome upon discharge.

The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction

BACKGROUND

Malnutrition is common in patients with acute myocardial infarction (AMI) and is associated with a poor prognosis. The prognostic value of the prognostic nutritional index (PNI) in patients with AMI remains controversial. We aimed to explore the relationship between PNI and all-cause mortality in critically ill patients with AMI and evaluate the incremental prognostic value of PNI to commonly used prognostic assessment tools.

METHODS

The Medical Information Mart for Intensive Care-IV (MIMIC-IV) database was used to conduct a retrospective cohort analysis on 1180 critically ill patients with AMI. The primary endpoints were defined as 6-month and 1-year all-cause mortality. Cox regression analysis was used to investigate the relationship between admission PNI and all-cause mortality. The effect of adding PNI to sequential organ failure assessment (SOFA) score, or charlson comorbidity index (CCI) on its discriminative ability was assessed using C-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI).

RESULTS

Multivariate cox regression analysis demonstrated that the low PNI was regarded as an independent predictor of 1-year all-cause mortality in AMI patients admitted to ICU (adjusted Hazard Ratio: 95% CI = 1.75 (1.22-2.49)). The ROC test showed that admission PNI had a moderate predictive ability to predict all-cause mortality of critically ill patients with AMI. Furthermore, the net reclassification and integrated discrimination of the CCI alone model improved significantly with PNI. [C-statistic increased from 0.669 to 0.752, p < 0.001; NRI = 0.698, p < 0.001; IDI = 0.073, p < 0.001]. When PNI was added to the SOFA score, the C-statistic significantly improved from 0.770 to 0.805 (p < 0.001), and the NRI and IDI were estimated at 0.573 (p < 0.001) and 0.041 (p < 0.001), respectively.

CONCLUSION

PNI could be a novel predictor for identifying patients at high risk of 1-year all-cause mortality in critically ill patients with AMI. The addition of PNI to the SOFA score or CCI may be useful for very early risk stratification.

Association of prognostic nutritional index level and diabetes status with the prognosis of coronary artery disease: a cohort study

BACKGROUND

Malnutrition and inflammation are associated with adverse clinical outcomes in patients with diabetes or coronary artery disease (CAD). Prognostic nutritional index (PNI) is a comprehensive and simple indicator reflecting nutritional condition and immunological status. Whether there is a crosstalk between nutritional-immunological status and diabetes status for the impact on the prognosis of coronary artery disease (CAD) is unclear.

METHODS

A total of 9429 consecutive CAD patients undergoing percutaneous coronary intervention were grouped by diabetes status [diabetes (DM) and non-diabetes (non-DM)] and preprocedural PNI level [high PNI (H-PNI) and low PNI (L-PNI)] categorized by the statistically optimal cut-off value of 48.49. The primary endpoint was all-cause death.

RESULTS

During a median follow-up of 5.1 years (interquartile range: 5.0-5.1 years), 366 patients died. Compared with the non-DM/H-PNI group, the DM/L-PNI group yielded the highest risk of all-cause death (adjusted hazard ratio: 2.65, 95% confidence interval: 1.97-3.56, p < 0.001), followed by the non-DM/L-PNI group (adjusted hazard ratio: 1.44, 95% confidence interval: 1.05-1.98, p = 0.026), while DM/H-PNI was not associated with the risk of all-cause death. The negative effect of L-PNI on all-cause death was significantly stronger in diabetic patients than in nondiabetic patients (p for interaction = 0.037). Preprocedural PNI category significantly improved the Global Registry of Acute Coronary Events (GRACE) risk score for predicting all-cause death in patients with acute coronary syndrome, especially in those with diabetes.

CONCLUSIONS

CAD patients with diabetes and L-PNI experienced the worst prognosis. The presence of diabetes amplifies the negative effect of L-PNI on all-cause death. Poor nutritional-immunological status outweighs diabetes in increasing the risk of all-cause death in CAD patients. Preprocedural PNI can serve as an assessment tool for nutritional and inflammatory risk and an independent prognostic factor in CAD patients, especially in those with diabetes.

Prognostic nutritional index and prognosis of patients with coronary artery disease: A systematic review and meta-analysis

Background

This review assessed if prognostic nutritional index (PNI) can predict mortality and major adverse cardiac events (MACE) in coronary artery disease (CAD) patients.

Methods

PubMed, Web of Science, Scopus, and Embase were searched up to 1st November 2022 for all types of studies reporting adjusted associations between PNI and mortality or MACE in CAD patients. A random-effect meta-analysis was conducted for PNI as categorical or continuous variable. Subgroup analysis were conducted for multiple confounders.

Results

Fifteen studies with 22,521 patients were included. Meta-analysis found that low PNI was a significant predictor of mortality in CAD patients as compared to those with high PNI (HR: 1.67 95% CI: 1.39, 2.00 I2 = 95% p &lt; 0.00001). Increasing PNI scores were also associated with lower mortality (HR: 0.94 95% CI: 0.91, 0.97 I2 = 89% p = 0.0003). Meta-analysis demonstrated that patients with low PNI had significantly higher incidence of MACE (HR: 1.57 95% CI: 1.08, 2.28 I2 = 94% p = 0.02) and increasing PNI was associated with lower incidence of MACE (HR: 0.84 95% CI: 0.72, 0.92 I2 = 97% p = 0.0007). Subgroup analyses showed mixed results.

Conclusion

Malnutrition assessed by PNI can independently predict mortality and MACE in CAD patients. Variable PNI cut-offs and high inter-study heterogeneity are major limitations while interpreting the results. Further research focusing on specific groups of CAD and taking into account different cut-offs of PNI are needed to provide better evidence.

Systematic Review Registration

No CRD42022365913 https://www.crd.york.ac.uk/prospero/.

Prevalence and Prognostic Significance of Malnutrition in Patients with Abnormal Glycemic Status and Coronary Artery Disease: A Multicenter Cohort Study in China

This study sought to investigate the prevalence and prognostic significance of malnutrition in patients with an abnormal glycemic status and coronary artery disease (CAD). This secondary analysis of a multicenter prospective cohort included 5710 CAD patients with prediabetes and 9328 with diabetes. Four objective tools were applied to assess the nutritional status of the study population. The primary endpoint was all-cause death. The association of malnutrition with clinical outcomes was examined using Cox proportional hazards regression. The proportion of malnutrition varied from 8% to 57% across the assessment tools. Diabetic patients were more likely to be malnourished than prediabetic patients. During a median follow-up of 2.1 years, 456 all-cause deaths occurred. The adjusted hazard ratios and 95% confidence interval for all-cause deaths of moderate-severe malnutrition defined by different tools ranged from 1.59 (1.03, 2.46) to 2.08 (0.92, 4.73) in prediabetic patients and 1.51 (1.00, 2.34) to 2.41 (1.78, 3.27) in diabetic patients. In conclusion, malnutrition is not rare in CAD patients with abnormal glycemic status. Moderate-severe malnutrition strongly predicted all-cause death regardless of the assessment tool. Assessing the nutritional status for all CAD patients with prediabetes and diabetes to identify individuals at high risk of all-cause death may help the risk assessment and prognosis improvement.

Prognostic nutritional index: A potential biomarker for predicting the prognosis of decompensated liver cirrhosis

Background

Prognostic nutritional index (PNI) is an independent predictor of the prognosis of various diseases. However, the prognosis value of PNI in patients with decompensated liver cirrhosis (DLC) remains unknown. The study aimed to investigate the prognostic significance of PNI in patients with DLC.

Methods

A total of 214 eligible patients were enrolled in the study's development cohort between January 2018 and March 2021. The clinical primary study endpoints were mortality at 3 and 6 months. Receiver operating characteristic (ROC) curve analysis was used to assess the PNI's prediction accuracy, and Youden's index was utilized to determine the PNI's optimal cut-off value. Moreover, based on the optimal cut-off value, patients were categorized into high and low PNI groups. Multivariate logistic regression analysis was used to determine independent risk factors for mortality, while the relationship between PNI and the risk of death was identified and demonstrated using restricted cubic splines (RCS). A validation cohort of 139 patients was to verify the predictive power of the PNI.

Results

In the development cohort, the mortality rate at 3 and 6 months were 10.3% (22) and 14.0% (30), respectively. The PNI had comparable predictive power with the MELD score at all follow-up endpoints. Decreased PNI was an independent predictor of adverse prognosis at all follow-up endpoints. The RCS revealed a linear correlation between PNI and the risk of death. We confirmed that lower PNI was an independent predictor of poor prognosis in the validation cohort.

Conclusion

The findings showed that lower PNI is an independent factor of poor outcomes and might be utilized as a potentially promising prognostic predictor in patients with DLC.

Association of prognostic nutritional index with risk of contrast induced nephropathy: A meta-analysis

Background

Although prognostic nutritional index (PNI) has been frequently applied in patients with malignancy or those during postoperative recovery, whether it is also an optimal indicator of the risk of contrast-induced nephropathy (CIN) in patients receiving coronary angiography remains uncertain. This meta-analysis aimed at investigating the clinical association of PNI with the risk of CIN in patients receiving coronary angiography or percutaneous coronary intervention.

Methods

Embase, Medline, Cochrane Library, and Google scholar were searched for studies until January 2023. The relationship between CIN risk and PNI (i.e., low vs. high) (primary outcome) as well as other variables (secondary outcomes) were analyzed using a random-effects model.

Results

Overall, 10 observational studies with 17,590 patients (pooled incidence of CIN: 18%) were eligible for analysis. There was a higher risk of CIN in patients with a low PNI compared to those with a high PNI [odd ratio (OR) = 3.362, 95% confidence interval (CI): 2.054 to 5.505, p < 0.0001, I ² = 89.6%, seven studies, 12,972 patients, certainty of evidence: very low]. Consistently, a lower PNI was noted in patients with CIN compared to those without (Mean difference = -5.1, 95% CI: -6.87 to -3.33, p < 0.00001, I ² = 96%, eight studies, 15,516 patients, certainty of evidence: very low). Other risks of CIN included diabetes and hypertension, while male gender and the use of statins were associated with a lower risk of CIN. Patients with CIN were older, had a higher creatinine level, and received a higher contrast volume compared to those without. On the other hand, pre-procedural albumin, estimated glomerular filtration rate, ejection fraction, hemoglobin, lymphocyte ratio were found to be lower in patients with CIN than in those without.

Conclusion

This meta-analysis highlighted an inverse association of PNI with the risk of CIN, which required further studies for verification.

Systematic review registration

[https://www.crd.york.ac.uk/prospero/], identifier [CRD42023389185].

Relationship between Preoperative Nutritional Status and Clinical Outcomes in Patients with Head and Neck Cancer

The nutritional status in cancer patients is related to cancer survival and surgical outcome. The objective of this study was to examine the relationship between preoperative prognostic nutritional index (PNI) and post-operative clinical outcomes in head and neck cancer (HNC) patients. A total of 1282 head and neck cancer patients receiving surgical resection in Changhua Christian Hospital between 1 January 2010 and 30 August 2021 were recruited in the final analysis after undergoing propensity score matching analysis. The logistic regression model was used to assess the association of the PNI group with overall and various complications. The patients in the high PNI group had a significant lower incidence of overall complications, medical complications, and pulmonary complications; but not significant surgical complications. The high PNI group had lower mortality risk. The results in this study revealed that PNI score was a significant independent predictor of postoperative complications in HNC patients undergoing surgical resection. We recommend preoperative testing and evaluation of HNC patients to identify low PNI and high-risk groups for postoperative surveillance.

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.

Relationship Between Prognostic Nutritional Index and Contrast-Associated Acute Kidney Injury in Patients With Non-ST Segment Elevation Myocardial Infarction Undergoing Coronary Angiography

Prognostic nutritional index (PNI), consisting of inflammatory-nutritional parameters, has been investigated in terms of outcomes and renal function in patients with coronary artery disease. The objective of this study is to assess the predictive power of the PNI in predicting the risk for developing contrast-associated acute kidney injury (CA-AKI), an important complication following coronary angiography in patients with non-ST-elevation myocardial infarction (NSTEMI). The study population (336 patients with the diagnosis of NSTEMI) was divided into two groups: patients with CA-AKI and patients without CA-AKI. The mean age of the whole population was 62.0 ± 12.7 (21-95) years. CA-AKI was detected in 68 (20%) patients. Prognostic nutritional index values were significantly (P < .001) lower in the CA-AKI (+) group. Low PNI values (cutoff < 48.5%) were independent predictors of CA-AKI with Odds ratio (OR): .913, 95% confidence interval (CI): .866-.962, P:.001, with a sensitivity 70.6% and specificity 69.4%. Prognostic nutritional index seems to be an easily assessable and promising scoring system that can be used in clinical practice for predicting the risk of developing CA-AKI.

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.

The effect of nutritional scores on mortality in COVID-19 patients

OBJECTIVES:

While studies on the treatment for the coronavirus disease 2019 (COVID-19) pandemic continue all over the world, factors that increase the risk of severe disease have also been the subject of research. Malnutrition has been considered an independent risk factor. Therefore, we aimed to investigate the clinical effect of dietary habits and evaluate the prognostic value of the Controlling Nutritional Status score in the COVID-19 patients we followed up.

METHODS:

A total of 2760 patients hospitalized for COVID-19 were examined. Patients were retrospectively screened from three different centers between September 1 and November 30, 2020. A total of 1488 (53.9%) patients who met the criteria were included in the study. Risk classifications were made according to the calculation methods of prognostic nutritional index and Controlling Nutritional Status scores and total scores. The primary outcome of the study was in-hospital mortality.

RESULTS:

The groups with severe Controlling Nutritional Status and prognostic nutritional index scores had a significantly higher mortality rate than those with mild scores. In the multivariable regression analysis performed to determine in-hospital mortality, the parameters, such as age (OR 1.04; 95%CI 1.02–1.06, p<0.001), admission oxygen saturation value (SaO₂) (OR 0.85; 95%CI 0.83–0.87, p<0.001), and Controlling Nutritional Status score (OR 1.34; 95%CI 1.23–1.45, p<0.001), were independent predictors. The patient groups with a low Controlling Nutritional Status score had a higher rate of discharge with recovery (p<0.001).

CONCLUSIONS:

Higher Controlling Nutritional Status scores may be effective in determining in-hospital mortality in patients with COVID-19. Nutrition scores can be used as a useful and effective parameter to determine prognosis in patients with COVID-19.

Is There a Role for Laboratory Parameters in Predicting Coronary Artery Involvement in Kawasaki Disease?

BACKGROUND

Kawasaki disease (KD) may cause cardiac and coronary complications. Since definite markers to accurately predict coronary involvement is not present, we aimed to analyze the role of hematological indices [neutrophil-to lymphocyte ratio (NLR), platelet-to lymphocyte ratio (PLR), lymphocyte-to monocyte ratio (LMR), and mean platelet volume (MPV)-to lymphocyte ratio (MPVLR)], prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) in predicting coronary involvement of KD. Patients The medical records of 134 KD patients admitted between January 2008 and December 2019 were investigated. Also, 268 age-matched healthy controls (HCs) were included in the study.

METHODS

KD patients were divided into two groups: KD with coronary artery lesions (KD-CALs) and KD without CALs. Logistic regression analysis was performed to determine parameters that may predict coronary involvement in children with KD.

RESULTS

Among KD patients, 39 (29.1%) had CALs. When compared with HCs, the median levels of WBC, neutrophils, monocytes, eosinophils, platelets, MPV and, the values of NLR, PLR, MPVLR, SII were significantly higher; whereas lymphocyte count, PNI, platelet distribution width (PDW), LMR were markedly lower in the KD group (p˂0.001 for all, except for p=0.010 for eosinophil count). The CALs group's SII, PLR, and PNI values were significantly lower than those without (p=0.030, p=0.032, and p ˂0.001; respectively). Multivariable regression analysis revealed that PNI, SII, and gender (male) were associated with CALs in KD.

CONCLUSION

Our analysis revealed that male sex, lower PNI, and lower SII levels were independently associated with CALs in children with KD.

The association between the prognostic nutritional index and 28-day mortality among atrial fibrillation patients in China over 80 years of age

BACKGROUNDS AND AIMS

The most prevalent form of cardiac rhythm abnormality among older populations is atrial fibrillation (AF). The prognostic nutritional index (PNI) is a reliable predictor of mortality in various diseases. The association between the PNI and mortality among AF patients over 80 years remains uncleared.

METHODS AND RESULTS

A retrospective assessment of AF cases admitted to a single cardiovascular disease unit in China between January 2015 and June 2020 was performed. The PNI at admission was defined as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm³). The association between PNI and cardiovascular disease (CVD)-related or all-cause mortality within 28 days was assessed via multivariable Cox regression. The analysis included 1141 patients. The CVD-related and all-cause mortality rates were 3.3% and 8.7%. Kaplan-Meier analyses revealed that cases with lower PNI tertiles exhibited higher all-cause mortality (T1: 7.6%; T2: 6.1%; T3: 2.4%, P < 0.001) or CVD mortality (T1: 6.3%; T2: 2.9%; T3: 0.8%, P < 0.001). After adjusting for potential confounders, continuous PNI was negatively related to the hazard of all-cause mortality (HR 0.92, 95% CI 0.89, 0.96) and CVD-related mortality (HR 0.90, 95% CI 0.84, 0.95). Compared to the T1 group, patients with a higher PNI exhibited a lower risk of all-cause mortality (P for trend 0.003) and CVD-related mortality (P for trend 0.005). Among most subgroups, CVD-related and all-cause mortality decreased with elevating PNI values.

CONCLUSIONS

PNI is significantly negatively correlated with CVD-related and all-cause mortality among AF cases over 80 years.

The Prognostic Nutritional Index May Predict Left Atrial Appendage Thrombus or Dense Spontaneous Echo Contrast in Patients With Atrial Fibrillation

Objectives

The prognostic nutritional index (PNI) is an independent predictor of adverse outcomes in patients with cardiovascular diseases. The presence of left atrial appendage thrombus (LAAT) or spontaneous echo contrast (SEC) is associated with ischemic stroke. The present study aimed to investigate the relationship between the PNI and LAAT/dense SEC in patients with non-valvular atrial fibrillation (AF).

Methods

In patients with non-valvular AF, we compared demographics, clinical characteristics, and prevalence of LAAT/dense SEC according to the levels of the PNI. The relationship between the PNI and LAAT/dense SEC was observed.

Results

A total of 406 patients with non-valvular AF were consecutively included from March 2015 to February 2019. Of the study population, 53 patients had LAAT/dense SEC. The percentages of LAAT/dense SEC were 20.4, 14.1, and 4.5% in subjects from the lowest to the highest tertile of the PNI, respectively. Multivariate logistic analysis demonstrated that the PNI was an independent predictor for LAAT/dense SEC (OR 0.89; 95% CI, 0.82–0.97; P = 0.007). Receiver operating characteristic curve analysis revealed that the optimal cutoff value of the PNI for predicting LAAT/dense SEC was 48.0 (area under the curve: 0.68; 95% CI, 0.61–0.75; P &lt; 0.001). The sensitivity and specificity were 83.0 and 47.6%, respectively. The risk of LAAT/dense SEC in patients with a PNI ≤ 48.0 was 2.57-fold higher than that in those with a PNI &gt; 48.0.

Conclusion

The PNI, calculated based on serum albumin and lymphocyte count, was inversely correlated with LAAT/dense SEC in patients with non-valvular AF. Therefore, it may be considered a predictor for LAAT/dense SEC.

Nutritional indices at admission are associated with mortality rates of patients in the intensive care unit

BACKGROUND

Malnutrition is a common occurrence in critically ill patients, and has been related to poor prognosis in various diseases. Here, we assess the prognostic value of malnutrition using nutritional indices in intensive care units (ICU) patients.

METHODS

We retrieved information on 2060 patients from the Medical Information Mart for Intensive Care III, and randomized the patients into training and validation cohorts, at a ratio of 7:3. We estimated their nutritional indices using prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and controlling nutritional status (CONUT) score. Both multivariate regression analysis and the Kaplan-Meier (KM) survival curve were used to examine the prognostic role of nutritional indices in ICU mortality. Then we evaluated the additional predictive significance of each nutritional index beyond the baseline model including conventional risk factors.

RESULTS

Multivariate regression analysis revealed that PNI, GNRI, and CONUT were independent predictors of in-hospital and 1-year mortality (all P < 0.001). KM curves showed higher 1-year mortality rates in having nutritional risk patients (PNI ≤ 38 or GNRI ≤ 98 or CONUT ≥ 2). Moreover, subgroup analyses revealed a significant association between each nutritional index and 1-year mortality in patients with different comorbidities. We also observed a pronounced additional impact on the predictive value of 1-year mortality when PNI, GNRI, and CONUT were separately added to the baseline model. The additional role of each nutritional index was further verified in the validation cohort.

CONCLUSIONS

Our results revealed that the nutritional indices at admission are significantly correlated with increased mortality rates in ICU adult patients.

Factors associated with all-cause mortality in patients with coronary artery chronic total occlusions undergoing revascularization (percutaneous coronary intervention or surgery) or medical treatment

Aim    Chronic total occlusion of a coronary artery (CTO) is a predictor of early and late cardiovascular mortality and poor cardiovascular outcomes in patients with coronary artery disease. The purpose of this study was to identify predictors of all-cause mortality in CTO patients that underwent invasive treatment.Material and methods    Patients between 2012 and 2018 with CTO in at least one vessel, as demonstrated by coronary angiography, were included retrospectively in the study. The patients were divided into two groups, an intervention group (percutaneous and surgical revascularization) and a medical group.Results    A total of 543 patients were studied, 152 females (28%) and 391 males (72%). The median follow-up period was 49 (26-72) mos. A total of 186 (34.2%) patients in the medical group and 357 (65.8%) patients in the invasive therapy group were followed. The 5-yr death rate was observed in 50 (26.9%) patients in the medical group and 53 (14.8%) patients in the intervention group, and it was found to be statistically higher in the medical group (p=0.001). In multivariable analysis, heart failure (odds ratio (OR): 1.92, 95% CI: 1.18-3.14; p=0.01), higher glucose levels (OR: 1.05, 95% CI: 1,02-1.08; p=0.04), lower albumin levels (OR: 0.49, 95% Cl: 0.32-0.72; p=0.001), SYNTAX score (OR: 1.03, 95% CI: 1.01-1.05; p=0.001), and CTO (≥2 occluded artery) (OR: 0.42, 95% CI: 0.22-0.72; p=0.01) were independent factors for all-cause mortality.Conclusion    In comparison to the revascularized group, there was an increase in mortality among CTO patients treated medically. Heart failure, SYNTAX score, albumin, glucose, and CTO (≥2 occluded arteries) were independent risk factors for all-cause mortality.

Preoperative Combined Adiposity–Nutritional Index Predicts Major aDverse Cardiac and Cerebral Events following Off-pump coRonary Artery Revascularization (PANDORA): A Retrospective Single-Center Study

Background The metabolic–nutritional profile of coronary artery disease (CAD) patients can be an important outcome determinant. A high visceral adiposity index (VAI) and a low prognostic nutritional index (PNI) have been described to predict major adverse cardiac and cerebral events (MACCE) in nonoperative settings and poor cardiac-surgical outcomes, respectively. The present study evaluated the MACCE-predictive value of the two indices, in isolation and as a combined adiposity–nutritional index (CANI = VAI/PNI) in patients undergoing off-pump coronary artery bypass grafting (OPCABG).

Methods The retrospective study was conducted in 1207 OPCABG patients at a tertiary cardiac care center. Thirty-day postoperative data was evaluated for the development of MACCE, defined by any of the following: cardiac arrest, ST-segment elevation myocardial ischemia (STEMI), repeat coronary revascularization, or stroke. The perioperative characteristics of the MACCE and no-MACCE groups were analyzed for the predictors of postoperative MACCE.

Results One-hundred thirty-two patients (10.93%) developed MACCE postoperatively. On univariate analysis, age, EuroSCORE II, ejection fraction, diabetes mellitus, asymptomatic carotid artery disease, left main (LM) disease, PNI, and VAI predicted MACCE. Subsequent to multivariate analysis, age, EuroSCORE II, and CANI were the independent predictors. The MACCE predictive cutoffs of VAI, PNI, and CANI were 3.2, 38.46, and 0.075 (area under the curve [AUC]; sensitivity; specificity: 0.64; 77%; 81.3%, 0.77; 92.6%, 65%, 0.78; 64.5%; 80.2%, respectively). CANI correlated positively with duration of mechanical ventilation, length of intensive care unit (ICU) stay, and mean postoperative vasoactive inotropic scores (VIS). CANI ≥ 0.075 was also associated with a higher incidence of postoperative atrial fibrillation, low cardiac output syndrome, and acute kidney injury.

Conclusions CANI emerged as an independent predictor of MACCE following OPCABG.

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.

Malnutrition screening and diagnosis tools: Implications for practice

Despite the prevalence of protein-calorie malnutrition (PCM) in acute-care hospitals and long-term care centers, a national and global consensus on nutrition screening and malnutrition diagnosis is lacking. PCM is associated with various acute and chronic complications, such as impaired wound healing, increased risk for infection, debility, and increased risk for rehospitalization. The consequences of PCM are also incredibly costly to both the patient and the healthcare facility. The purpose of this paper is to identify nutrition screening tools and malnutrition diagnosis tools currently being utilized in acute-care healthcare centers across the United States.

Efficacy of Ninjin'yoeito in treating severe coronavirus disease 2019 in patients in an intensive care unit

Coronavirus Disease-2019 (COVID-19), an infectious disease associated with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a global emergency with high mortality. There are few effective treatments, and many severe patients are treated in an intensive care unit (ICU). The purpose of this study was to evaluate whether the Japanese Kampo medicine ninjin'yoeito (NYT) is effective in treating ICU patients with COVID-19. Nine patients with confirmed SARS-CoV-2 infection admitted to the ICU were enrolled in this study. All patients underwent respiratory management with invasive mechanical ventilation (IMV) and enteral nutrition. Four patients received NYT (7.5 g daily) from an elemental diet tube. We retrospectively examined the prognostic nutritional index (PNI), length of IMV, length of ICU stay, length of hospital stay, rate of tracheostomy, and mortality rate. The median age of the enrolled participants was 60.0 years (4 men and 5 women). The median body mass index was 27.6. The most common comorbidity was diabetes (4 patients, 44%), followed by hypertension (3 patients, 33%) and chronic kidney disease (2 patients, 22%). The median length of IMV, ICU stay, and hospital stay were all shorter in the NYT group than in the non-NYT group (IMV; 4.0 days vs 14.3 days, ICU; 5.3 days vs 14.5 days, hospital stay; 19.9 days vs 28.2 days). In the NYT and non-NYT groups, the median PNI at admission was 29.0 and 31.2, respectively. One week after admission, the PNI was 30.7 in the NYT group and 24.4 in non-NYT group. PNI was significantly (p = 0.032) increased in the NYT group (+13.6%) than in the non-NYT group (-22.0%). The Japanese Kampo medicine NYT might be useful for treating patients with severe COVID-19 in ICU. This study was conducted in a small number of cases, and further large clinical trials are necessary.

Inflammation-Based Scores as a Common Tool for Prognostic Assessment in Heart Failure or Cancer

Background: Inflammation-based scores are widely tested in cancer and have been evaluated in cardiovascular diseases including heart failure. Objectives: We investigated the impact of established inflammation-based scores on disease severity and survival in patients with stable heart failure with reduced ejection fraction (HFrEF) paralleling results to an intra-institutional cohort of treatment naïve cancer patients. Methods: HFrEF and cancer patients were prospectively enrolled. The neutrophil-to-lymphocyte-ratio (NLR), the monocyte-to-lymphocyte-ratio (MLR), the platelet-to-lymphocyte-ratio (PLR), and the prognostic nutritional index (PNI) at index day were calculated. Association of scores with disease severity and impact on overall survival was determined. Interaction analysis was performed for the different populations. Results: Between 2011 and 2017, a total of 818 patients (443 HFrEF and 375 cancer patients) were enrolled. In HFrEF, there was a strong association between all scores and disease severity reflected by NT-proBNP and NYHA class (p ≤ 0.001 for all). In oncologic patients, association with tumor stage was significant for the PNI only (p = 0.035). In both disease entities, all scores were associated with all-cause mortality (p ≤ 0.014 for all scores). Kaplan-Meier analysis confirmed the discriminatory power of all scores in the HFrEF and the oncologic study population, respectively (log-rank p ≤ 0.026 for all scores). A significant interaction with disease (HFrEF vs. cancer) was observed for PNI (p interaction = 0.013) or PLR (p interaction = 0.005), respectively, with higher increase in risk per inflammatory score increment for HFrEF. Conclusion: In crude models, the inflammatory scores NLR, MLR, PLR, and PNI are associated with severity of disease in HFrEF and with survival in HFrEF similarly to cancer patients. For PNI and PLR, the association with increase in risk per increment was even stronger in HFrEF than in malignant disease.

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.

Prognostic Nutritional Index Predicts Contrast-Associated Acute Kidney Injury in Patients with ST-Segment Elevation Myocardial Infarction

BACKGROUND

Contrast-associated acute kidney injury (CA-AKI) previously known as contrast-induced nephropathy is associated with a worse prognosis in patients with acute ST-elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (PCI). The prognostic nutritional index (PNI) is a simple index comprised of serum albumin level and lymphocyte count which reflects the immunonutritional-inflammatory status. Recently, clinical studies have shown associations between the PNI and clinical outcomes in several cardiovascular diseases. The aim of the study was to assess the possible utilization of the PNI to predict the development of CA-AKI after primary PCI.

METHODS

We retrospectively included 836 patients (mean age 58 ± 12 years, 76% men) with STEMI treated with primary PCI. The PNI was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm³). The patients were divided into two groups according to whether or not CA-AKI developed.

RESULTS

The overall incidence of CA-AKI was 9.4%. Compared to the patients without CA-AKI, those with CA-AKI had a significantly lower PNI value (40.7 ± 3.7 vs. 35.2 ± 4.9; p < 0.001). In receiver operating characteristic curve analysis, the optimal cutoff value of the PNI to predict CA-AKI was 38, with 82% sensitivity and 70% specificity (area under the curve 0.836, p < 0.001). In multivariate logistic regression analysis, PNI < 38, body mass index and creatinine were independently associated with CA-AKI (odds ratio 11.275, 95% confidence interval 3.596-35.351; p < 0.001).

CONCLUSIONS

The PNI was inversely and significantly associated with the development of CA-AKI in acute STEMI. Assessing PNI at admission may be useful for early risk stratification of STEMI patients.

Geriatric nutritional risk index is a predictor of recurrent percutaneous coronary intervention in patients with non-ST segment elevation myocardial infarction

Aim To investigate the relationship between malnutrition and follow-up cardiovascular (CV) events in non-ST-segment elevation myocardial infarction (NSTEMI).Material and methods A retrospective study was performed on 298 patients with NSTEMI. The baseline geriatric nutritionalrisk index (GNRI) was calculated at the first visit. The patients were divided into three groups accordingto the GNRI: >98, no-risk; 92 to ≤98, low risk; 82 to <92, moderate to high (MTH) risk. The studyendpoint was a composite of follow-up CV events, including all-cause mortality, non-valvular atrialfibrillation (NVAF), hospitalizations, and need for repeat percutaneous coronary intervention (PCI).Results Follow-up data showed that MTH risk group had significantly higher incidence of repeat PCI and all-cause mortality compared to other groups (p<0.001). However, follow-up hospitalizations and NVAFwere similar between groups (p>0.05). The mean GNRI was 84.6 in patients needing repeat PCI and99.8 in patients who did not require repeat PCI (p<0.001). Kaplan Meier survival analysis showed thatpatients with MTH risk had significantly poorer survival (p<0.001). According to multivariate Coxregression analysis, theMTH risk group (hazard ratio=5.372) was associated with increased mortality.Conclusion GNRI value may have a potential role for the prediction of repeat PCI in patients with NSTEMI.

Combined effects of nutritional status on long-term mortality in patients with non-st segment elevation myocardial infarction undergoing percutaneous coronary intervention

OBJECTIVE

The aim of this study was to investigate the performance of controlling nutritional status (CONUT) index, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI) scores in predicting the long-term prognosis of patients with non-ST-elevated myocardial infarction (NSTEMI) who underwent percutaneous coronary intervention (PCI).

METHODS

A total of 915 patients with NSTEMI (female: 48.4%; mean age: 73.1±9.0 years) who underwent PCI at Adana Numune Training and Research Hospital, Cardiology Clinic between January 2014 and January 2015 were included in this cross-sectional and retrospective study. CONUT, GNRI, and PNI scores were calculated based on the admission data derived from samples of peripheral venous blood. The mean follow-up duration was 64.5±15.4 months.

RESULTS

During follow-up (mean 64.5±15.4 months), 179 patients (19.6%) died. The mean GNRI and PNI scores were significantly lower in the nonsurvivor group; however, the median CONUT score was significantly higher in the nonsurvivor group compared with the survivor group. The receiver operating characteristic (ROC) curve analyses have shown that GNRI score has similar performance to the CONUT score and has better performance than PNI score in predicting 5-year mortality. The Kaplan-Meier curve analysis has shown that patients with lower PNI or GNRI had higher cumulative mortality than the patients with higher PNI or GNRI. Also, the patients with higher CONUT scores had higher cumulative mortality compared with those with lower scores. The multivariate analyses have shown that GNRI (HR: 0.973), PNI (HR: 0.967), CONUT score (HR: 1.527), and body mass index (BMI) (HR: 0.818) were independent predictors of the 5-year mortality in patients with NSTEMI.

CONCLUSION

In this study, we have shown that CONUT score, GNRI, and PNI values were associated with the long-term mortality in patients with NSTEMI who underwent PCI, and GNRI yielded similar results to CONUT score but was better than PNI.

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

Malnutrition represents a common and important feature in elderly people affected by cardiovascular diseases. Several studies have investigated its prevalence and prognostic role in most clinical settings, including cardiovascular disease. However, in daily practice it usually remains unrecognized and consequently untreated. The present review was ideated to answer the main questions about nutritional status assessment in patients with cardiovascular disease: why, when, where, how to evaluate it, and what to do to improve it. The three main cardiovascular diseases, namely aortic stenosis, ischaemic heart disease, and heart failure were considered. First, the main evidence supporting the prognostic role of malnutrition are summarized and analyzed. Second, the main tools for the assessment of malnutrition in the hospital and outpatient setting are reported for each condition. Finally, the possible strategies and interventions to address malnutrition are discussed.

Prognostic value of pretreatment prognostic nutritional index in intravenous immunoglobulin-resistant Kawasaki disease

The aim of the present study was to investigate the potential predictive significance of pretreatment prognostic nutritional index (PNI) in intravenous immunoglobulin (IVIG) resistant Kawasaki disease (KD). The PNI, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were analyzed in 1257 eligible patients with KD. Receiver operating curve analysis was used to explore the prediction accuracy for IVIG-resistant KD. The optimal cut-off values were identified as 49.5 for PNI, 3.58 for NLR and 164.00 for PLR, respectively. Lower pretreatment PNI (< 49.5) was demonstrated to be associated with lower age, serum sodium levels and platelet counts, and with a higher incidence of IVIG resistance and higher C-reactive protein levels. There was a significantly negative association between the PNI and NLR, and PLR. Univariate and multivariate analyses revealed that PNI, NLR and PLR were independent predictive factors for IVIG resistance. The discriminatory ability of PNI was not inferior to NLR, PLR and their combination (NLR > 3.58 and PLR > 164) for predicting IVIG resistance, respectively. Pretreatment PNI may serve as a novel surrogate independent predictor for IVIG-resistant KD.

The role of prognostic nutritional index in patients with non-ST segment elevation acute coronary syndrome

Objective The importance of nutritional status in non-ST segment elevated acute coronary syndrome (NSTE-ACS) is not clear. In this study, the importance of prognostic nutritional index (PNI) in terms of in-hospital mortality in patients with NSTE-ACS and its relationship with the Global Record of Acute Coronary Events (GRACE) risk score were investigated.Material and methods A total of 498 consecutive NSTE-ACS patients were recorded retrospectively. PNI for nutritional status assessment of patients with NSTE-ACS. PNI was calculated as 10 × serum albumin (g / dL) + 0.005 × total lymphocyte count (per mm3). The association between PNI and GRACE risk score was assessed.Results Patients were classified as low-risk group (≤108 points, n=222), medium-risk group (109-140 points, n=161) and high-risk group (&gt;140 points, n=115) according to the GRACE score. The mean PNI value was found to be the lowest in the high-risk group compared to other risk groups. There was a significant negative correlation between GRACE risk score and PNI (p&lt;0.001). In multivariate analysis, PNI resulted as a predictor of in-hospital mortality independent of GRACE risk score (OR=0.909; 95 % CI: 0.842-0.981; p=0.01). PNI value in the high risk group for in-hospital mortality was determined to have significant predictive ability (AUC=0.710; 95 % CI: 0.61-0.80; p&lt;0001).Conclusions PNI evaluation is a useful and easy method to evaluate the nutritional status of patients with NSTE-ACS. Our study suggests that the PNI is significantly associated with in-hospital mortality, and GRACE risk score in patients with NSTE-ACS. This study is the basis for new studies to investigate whether PNI contributes additional prognostic to the GRACE risk score.

Prognostic nutritional index and the risk of mortality in patients with hypertrophic cardiomyopathy

AIMS

Nutritional status has been related to clinical outcomes in patients with cardiovascular diseases. The prognostic impact of poor nutritional status in hypertrophic cardiomyopathy (HCM) is not clearly understood. The aim of the present study is to investigate the prognostic value of prognostic nutritional index (PNI), calculated from serum albumin level and total lymphocyte count, in HCM patients.

METHODS

A total of 393 HCM patients in a tertiary medical centre were enrolled. The primary and secondary endpoints were all-cause mortality and cardiovascular death. The association between PNI and endpoints was analysed.

RESULTS

During a mean follow-up duration of 4.8 years, patients with high PNI values (PNI ≥ 48.8) had significantly lower incidence of all-cause mortality (9.3% vs. 33.1%, P < 0.001) and cardiovascular death (7.1% vs. 21.0%, P < 0.001). After adjusting for potential confounders, PNI was independently associated with all-cause mortality and cardiovascular death (hazard ratio per 1 SD increase: 0.46 [95% CI: 0.34-0.62, P < 0.001] and 0.44 [95% CI: 0.30-0.63, P < 0.001]). In subgroup analysis stratified by age, gender, New York Heart Association class, atrial fibrillation, estimated glomerular filtration rate, left ventricular ejection fraction or left ventricular outflow tract obstruction, PNI was consistently related to mortality.

CONCLUSIONS

PNI is an independent prognostic factor for mortality in patients with HCM.

Impact of preoperative nutritional scores on 1-year postoperative mortality in patients undergoing valvular heart surgery

OBJECTIVE

Malnutrition is a well-recognized risk factor for poor prognosis and mortality. We investigated whether preoperative malnutrition diagnosed with objective nutritional scores affects 1-year mortality in patients undergoing valvular heart surgery.

METHODS

In this retrospective cohort observational study, we evaluated the association among the Controlling Nutritional Status score, Prognostic Nutritional Index, and Geriatric Nutritional Risk Index with 1-year mortality in 1927 patients undergoing valvular heart surgery. We identified factors for mortality using multivariable Cox proportional hazard analysis and investigated the utility of nutritional scores for risk stratification.

RESULTS

Malnutrition, as identified by a high Controlling Nutritional Status score and low Prognostic Nutritional Index and Geriatric Nutritional Risk Index, was significantly associated with higher 1-year mortality. Kaplan-Meier survival curve showed that mortality significantly increased as the severity of malnutrition increased (log-rank test, P < .001). The predicted discrimination (C-index) was 0.79 with the Controlling Nutritional Status score, 0.77 with the Prognostic Nutritional Index, and 0.73 with the Geriatric Nutritional Risk Index. Each nutritional index (Controlling Nutritional Status; hazard ratio, 1.31, 95% confidence interval, 1.21-1.42, P < .001), the European System for Cardiac Operative Risk Evaluation II (hazard ratio, 1.07, 95% confidence interval, 1.04-1.09, P < .001), and chronic kidney disease (hazard ratio, 2.26, 95% confidence interval, 1.31-3.90, P = .003) were independent risk factors for mortality. The Controlling Nutritional Status score added to the European System for Cardiac Operative Risk Evaluation II significantly increased the predictive discrimination ability for mortality (C-index 0.82, 95% confidence interval, 0.78-0.87, P = .014) compared with the Controlling Nutritional Status or European System for Cardiac Operative Risk Evaluation II alone.

CONCLUSIONS

Preoperative malnutrition as assessed by objective nutritional scores was associated with 1-year mortality after valvular heart surgery. The Controlling Nutritional Status score had the highest predictive ability and, when added to the European System for Cardiac Operative Risk Evaluation II, provided more accurate risk stratification.

Relationship between malnutrition and coronary microvascular dysfunction in patients with nonischemic dilated cardiomyopathy

Background/ aim

Malnutrition is common in patients with nonischemic dilated cardiomyopathy (DCM), especially in the end stages of the disease where heart failure symptoms predominate. Malnutrition has been associated with atherosclerosis in patients with chronic kidney disease, but it is unknown whether a similar relationship exists between malnutrition and coronary microvascular dysfunction (CMD). In the present study, we aimed to analyse whether indices of malnutrition were associated with coronary flow reserve (CFR) in patients with DCM.

Materials and methods

A total of 33 cases who were prospectively followed up with by institutional DCM registry were found eligible for inclusion. Coronary flow reserve was measured with transthoracic echocardiography from the left anterior descending artery. The study sample was divided into 2 groups using a CFR cut-off value of 2.0. Geriatric nutritional index (GNI), prognostic nutritional index (PNI), and C-reactive protein/albumin ratio (CAR) were calculated.

Results

A total of 17 out of 33 cases (51.5%) had a low (<2.0) CFR. Both GNI and PNI were similar between the 2 groups, but the inflammatory–nutritional parameter CAR was significantly higher in those with a low CFR (1.18 ± 0.64 vs. 0.54 ± 0.28, P < 0.001). CA remained an independent predictor of CFR on multivariate regression (β = 0.65, P < 0.001) after adjustment for demographic (age, sex, body mass index), nutritional (GNI, PNI, albumin), and inflammatory (C-reactive protein) parameters. For a cut-off value of 0.80, CAR had a sensitivity of 85.7% and specificity of 73.6% to predict a CFR <2.0 (AUC: 0.835, 95%CI: 0.693–0.976, P = 0.001).

Conclusions

Our findings indicate that not malnutrition per se but a combination of inflammation activation and malnutrition is predictive of CMD in patients with DCM.

The Prognostic Nutritional Index is associated with mortality of COVID-19 patients in Wuhan, China

BACKGROUND

Declared as pandemic by WHO, the coronavirus disease 2019 (COVID-19) pneumonia has brought great damage to human health. The uncontrollable spread and poor progression of COVID-19 have attracted much attention from all over the world. We designed this study to develop a prognostic nomogram incorporating Prognostic nutritional index (PNI) in COVID-19 patients.

METHODS

Patients confirmed with COVID-19 and treated in Renmin Hospital of Wuhan University from January to February 2020 were included in this study. We used logistic regression analysis to find risk factors of mortality in these patients. A prognostic nomogram was constructed and receiver operating characteristics (ROC) curve was drawn to evaluate the predictive value of PNI and this prognostic model.

RESULTS

Comparison of baseline characteristics showed non-survivors had higher age (P < .001), male ratio (P = .038), neutrophil-to-lymphocyte ratio (NLR) (P < .001), platelet-to-lymphocyte ratio (PLR) (P < .001), and PNI (P < .001) than survivors. In the multivariate logistic regression analysis, independent risk factors of mortality in COVID-19 patients included white blood cell (WBC) (OR 1.285, P = .039), PNI (OR 0.790, P = .029), LDH (OR 1.011, P < .015). These three factors were combined to build the prognostic model. Area under the ROC curve (AUC) of only PNI and the prognostic model was 0.849 (95%Cl 0.811-0.888) and 0.950 (95%Cl 0.922-0.978), respectively. And calibration plot showed good stability of the prognostic model.

CONCLUSION

This research indicates PNI is independently associated with the mortality of COVID-19 patients. Prognostic model incorporating PNI is beneficial for clinicians to evaluate progression and strengthen monitoring for COVID-19 patients.

Prognostic significance of pre-procedural prognostic nutritional index in patients with carotid artery stenting

BACKGROUND

Inflammation and malnutrition play a critical role in the outcomes of patients undergoing carotid artery stenting (CAS). Prognostic nutritional index (PNI) is commonly utilized to evaluate the peri-operative immune-nutritional status of patients undergoing colorectal cancer surgery and is independently associated with survival. We assessed the association between immune-nutritional status, indexed by PNI, and outcomes in CAS patients.

METHODS

A total of 615 patients hospitalized for CAS in a tertiary heart center were enrolled in the study. PNI was calculated using the following formula: 10× serum albumin value (g/dL) + 0.005 × total lymphocyte count in the peripheral blood (per mm3). In-hospital and 5-year outcomes (ipsilateral stroke, major stroke, transient ischemic attack, myocardial infarction, and mortality) were compared between the tertiles of PNI.

RESULTS

In-hospital outcomes were similar between the groups except the increased mortality in decreasing tertiles of PNI. During a mean follow-up duration of 51.1 months, the lower PNI tertile was related to unfavorable outcomes. After adjusting for multi-model Cox regression analysis, PNI persisted as an independent prognostic factor for mortality and major stroke.

CONCLUSION

PNI was independently associated with long-term mortality and major stroke in CAS patients. Malnutrition and inflammation, which can be assessed easily and quickly using PNI, have an important prognostic value in the patients undergoing CAS.

Prognostic nutrition index as a predictor of coronary artery aneurysm in Kawasaki Disease

Background

Kawasaki Disease (KD) is considered a major acquired heart disease in children under the age of 5. Coronary artery aneurysm (CAA) can occur in serious cases despite extreme therapy efforts. Previous studies have reported low serum albumin level was associated with disease outcome, but no further investigation was addressed yet.

Method

This retrospective (case-control) study randomly included children with KD who were admitted and underwent laboratory tests before undergoing IVIG treatment in this institution, the largest tertiary medical center in southern Taiwan from 2012 to 2016. Prognostic nutrition index (PNI), an albumin-based formula product, was evaluated as a predictor of CAA the first time. The progression of CAA was monitored using serial echocardiography for six months. We performed multivariable logistic regression analysis on the laboratory test and PNI with the disease outcome of the KD patients.

Result

Of the 275 children, 149 had CAA, including transient dilatation, while the other 126 did not develop CAA during the 6-month follow-up period. A multivariate logistic regression model revealed that PNI, gender, IVIG non-responder, and platelet count are significant predictors of CAA with a 95% confidence interval estimator of 1.999, 3.058, 3.864 and 1.004, respectively. Using PNI to predict CAA presence gave an area under the receiver-operating-characteristics (ROC) curve of 0.596. For a cutoff of 0.5 in the logistic regression model and the PNI cut-off point is taken as 55 together with IVIG non-responder, boy gender, and platelet count take into account, sensitivity and specificity were 65.7 and 70.4%.

Conclusion

PNI could be a candidate of adjunctive predictor of coronary artery aneurysm in addition to IVIG non-responder. Together with low PNI, IVIG non-responder, male gender and platelet count will give high odds to predict coronary artery aneurysm within 6 months of illness.