Prognostic nutritional index predicts clinical outcome in patients with acute ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention

The Prognostic Nutritional Index and Mortality in Patients With Ventriculoperitoneal Shunt Infection

The objective of this study was to investigate the relationship between mortality and the prognostic nutritional index (PNI) in the pediatric patient group with ventriculoperitoneal shunt (VPS) infection. A total of 63 pediatric patients with a VPS infection and positive cerebrospinal fluid (CSF) culture were retrospectively registered. The CSF specimens were analyzed to conduct culture and microscopic evaluation. A total of 44.4% of the cases were men and 55.6% of the cases were women. Patients were divided into 2 groups (survivor and non-survivor patients). When survivor and non-survivor patients were compared, it was found that CSF leukocytes, CSF glucose, CSF protein, CSF/blood glucose ratio, lymphocyte, albumin, and PNI levels were lower in the non-survivor patients' group. Nevertheless, blood glucose and CRP (C-reactive protein) were significantly higher in the non-survivor patients' group than in the survivor patients' group. In our investigation, we suggested that low PNI was related to high mortality in cases of VPS infection.

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

Background

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

Methods

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

Results

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

Conclusion

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

Assessing the Predictive Value of Different Nutritional Indexes for Contrast-Associated Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Intervention

BACKGROUND

The link between malnutrition and poor prognosis in cardiovascular disease has been established but the association between malnutrition and contrast-associated acute kidney injury (CA-AKI), a common complication of coronary procedures, remains poorly understood. In this study we investigated the predictive value of 3 nutritional indexes for CA-AKI in patients undergoing percutaneous coronary intervention (PCI).

METHODS AND RESULTS

The study included a total of 6,049 consecutive patients undergoing PCI between May 2012 and September 2020, among whom 352 (5.8%) developed CA-AKI. We used the Controlling Nutritional Status (CONUT) score, the Geriatric Nutritional Risk Index (GNRI), and the Prognostic Nutritional Index (PNI) to assess the association between malnutrition risk and CA-AKI after PCI. Multivariate logistic regression analysis revealed that malnutrition, as identified by GNRI and PNI, was significantly associated with a higher risk of CA-AKI (moderate-severe malnutrition in GNRI: odds ratio [OR]=1.92, [95% confidence interval (CI), 1.27-2.85]; malnutrition in PNI: OR=1.87, [95% CI, 1.39-2.50]), whereas the CONUT score did not demonstrate a significant difference (P>0.05). Furthermore, GNRI (∆AUC=0.115, P<0.001) and PNI (∆AUC=0.101, P<0.001) exhibited superior predictive ability than the CONUT score for CA-AKI and significantly improved reclassification and discrimination in the fully adjusted model.

CONCLUSIONS

Malnutrition, especially identified by the GNRI and PNI, was associated with a higher risk of CA-AKI after PCI. GNRI and PNI performed better than the CONUT score in predicting CA-AKI.

Do nutritional assessment tools (PNI, CONUT, GNRI) predict adverse events after spinal surgeries? A systematic review and meta-analysis

BACKGROUND

Nutritional assessment tools are used to predict outcomes in cancer. However, their utility in patients undergoing spinal surgery is unclear. This review examined if prognostic nutritional index (PNI), controlling nutritional status (CONUT), and geriatric nutritional risk index (GNRI) can predict adverse events after spinal surgeries.

METHODS

PubMed, CENTRAL, Scopus, and Embase were screened by two reviewers for relevant studies up to 26th January 2024. The primary outcome of interest was total adverse events after spinal surgery. Secondary outcomes were surgical site infections (SSI) and mortality.

RESULTS

14 studies were included. Meta-analysis showed that while reduced PNI was not associated with an increased risk of SSI there was a significant association between PNI and higher risk of adverse events. Meta-analysis showed that high CONUT was not associated with an increased risk of complications after spinal surgeries. Pooled analysis showed that low GNRI was associated with an increased risk of both SSI and adverse events. Data on mortality was scarce.

CONCLUSIONS

The PNI and GNRI can predict adverse outcomes after spinal surgeries. Limited data shows that high CONUT is also associated with a non-significant increased risk of adverse outcomes. High GNRI was predictive of an increased risk of SSI. Data on mortality is too scarce for strong conclusions.

Prognostic Nutritional Index is Associated with the Degree of Coronary Collateral Circulation in Stable Angina Patients with Chronic Total Occlusion

BACKGROUND

Coronary collateral circulation (CCC) can effectively improve myocardial blood supply to the area of CTO (chronic total coronary occlusion) and can, thus, improve the prognosis of patients with stable coronary syndrome (SCS). The degree of inflammation and some inflammation markers were associated with the development of collaterals.

OBJECTIVE

To investigate whether prognostic nutritional index (PNI) has an association with the development of CCC in patients with SCS.

METHODS

A total of 400 SCS patients with the presence of CTO in at least one major epicardial coronary artery were included in this study. The patients were divided into two groups according to the Rentrop score. Scores of 0 to 1 were considered poor developed CCC, and scores of 2 to 3 were accepted as good developed CCC. Statistical significance was set as a p-value < 0.05 for all analyses.

RESULTS

The mean age of the study cohort was 63±10 years; 273 (68.3%) were males. The poor-developed CCC group had a significantly lower PNI level compared with the good-developed CCC group (38.29±5.58 vs 41.23±3.85, p< 0.001). In the multivariate analysis, the PNI (odds ratio 0.870; 95% confidence interval 0.822-0.922; p< 0.001) was an independent predictor of poorly developed CCC.

CONCLUSION

The PNI can be used as one of the independent predictors of CCC formation. It was positively associated with the development of coronary collaterals in SCS patients with CTO.

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.

Values of prognostic nutritional index for predicting Kawasaki disease: a systematic review and meta-analysis

Objective

This systematic review and meta-analysis aimed to evaluate the relationship between the prognostic nutritional index (PNI) and intravenous immunoglobulin (IVIG) resistance and coronary artery lesion (CAL) in Kawasaki disease (KD).

Methods

The relevant literature was searched on PubMed, Embase, Cochrane Library, Web of Science, and Google Scholar up to August 5, 2023. A pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under curve (AUC) were calculated to assess the predicted values of PNI in KD patients with IVIG resistance and CAL.

Results

A total of 8 articles containing 10 studies involving 7,047 participants were included. The pooled results revealed a pooled sensitivity of 0.44 (0.25-0.65), a pooled specificity of 0.87 (0.73-0.94), a pooled PLR of 3.4 (2.0-5.9), a pooled NLR of 0.65 (0.48-0.87), a pooled DOR of 5.26 (2.76-10.02), and a pooled AUC of 0.75 (0.71-0.78) in the diagnosis of KD with CAL. The pooled results suggested that a pooled sensitivity was 0.69 (0.60-0.77), specificity was 0.76 (0.69-0.82), PLR was 2.9 (2.1-4.1), NLR was 0.40 (0.29-0.56), DOR was 7.27 (3.89-13.59), and AUC was 0.79 (0.75-0.82) in the diagnosis of KD with IVIG resistance. The combined results revealed the pooled sensitivity was 0.63 (0.58-0.67), specificity was 0.82 (0.80-0.83), PLR was 3.09 (1.06-8.98), NLR was 0.38 (0.07-2.02), DOR was 8.23 (0.81-83.16) in differentiating KD from febrile patients. These findings demonstrated low sensitivity and relatively high specificity of PNI for KD, KD-CAL, and IVIG-resistant KD.

Conclusion

In conclusion, this study was the first systematic review and meta-analysis of the diagnostic value of PNI in KD with IVIG resistance and CAL. The results suggested that PNI could be used as biomarkers for distinguish KD, KD with CAL, and KD with IVIG resistance.

Naples Prognostic Score and Prediction of Left Ventricular Ejection Fraction in STEMI Patients

The Naples score is a new prognostic score developed according to inflammatory and nutritional status and frequently evaluated in cancer patients. The present study aimed to evaluate using the Naples prognostic score (NPS) to predict the development of decreased left ventricular ejection fraction (LVEF) after acute ST-segment elevation myocardial infarction (STEMI). The study has a multicenter and retrospective design and included 2280 patients with STEMI who underwent primary percutaneous coronary intervention (pPCI) between 2017 and 2022. All participants were divided into 2 groups according to their NPS. The relationship between these 2 groups and LVEF was evaluated. The low-Naples risk group (Group-1) included 799 patients, and the high-Naples risk group (Group-2) had 1481 patients. Hospital mortality, shock, and no-reflow rates were found to be higher in Group 2 compared with Group 1 (P < .001, P = .032, P = .004). The NPS was significantly inversely associated with discharge LVEF (B coefficient: -1.51, 95% CI-2.26; -.76, P = .001). NPS, a simple and easily calculated risk score, may help identify high-risk STEMI patients. To the best of our knowledge, the present study is the first to demonstrate the relationship between low LVEF and NPS in patients with STEMI.

Comparative analysis of four nutritional scores predicting the incidence of MACE in older adults with acute coronary syndromes after PCI

To determine the most appropriate nutritional assessment tool for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI from four nutritional assessment tools including PNI, GNRI, CONUT, and BMI. Consecutive cases diagnosed with acute coronary syndrome (ACS) and underwent percutaneous coronary intervention (PCI) in the Department of Cardiovascular Medicine of the Air force characteristic medical center from 1 January 2020 to 1 April 2022 were retrospectively collected. The basic clinical characteristics and relevant test and examination indexes were collected uniformly, and the cases were divided into the MACE group (174 cases) and the non-MACE group (372 cases) according to whether a major adverse cardiovascular event (MACE) had occurred within 1 year. Predictive models were constructed to assess the nutritional status of patients with the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling nutritional status (CONUT) scores, and Body Mass Index (BMI), respectively, and to analyze their relationship with prognosis. The incremental value of the four nutritional assessment tools in predicting risk was compared using the Integrated Discriminant Improvement (IDI) and the net reclassification improvement (NRI). The predictive effect of each model on the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI was assessed using area under the ROC curve (AUC), calibration curves, decision analysis curves, and clinical impact curves; comparative analyses were performed. Among the four nutritional assessment tools, the area under the curve (AUC) was significantly higher for the PNI (AUC: 0.798, 95%CI 0.755-0.840 P < 0.001) and GNRI (AUC: 0.760, 95%CI 0.715-0.804 P < 0.001) than for the CONUT (AUC: 0.719,95%CI 0.673-0.765 P < 0.001) and BMI (AUC: 0.576, 95%CI 0.522-0.630 P < 0.001). The positive predictive value (PPV) of PNI: 67.67% was better than GNRI, CONUT, and BMI, and the negative predictive value (NPV): of 83.90% was better than CONUT and BMI and similar to the NPV of GNRI. The PNI, GNRI, and CONUT were compared with BMI, respectively. The PNI had the most significant improvement in the Integrated Discriminant Improvement Index (IDI) (IDI: 0.1732, P < 0.001); the PNI also had the most significant improvement in the Net Reclassification Index (NRI) (NRI: 0.8185, P < 0.001). In addition, of the four nutritional assessment tools used in this study, the PNI was more appropriate for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI.

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.

The prognostic value of HALP score in predicting in-hospital mortality in patients with ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention

INTRODUCTION AND OBJECTIVE

Despite major advances in reperfusion therapies, morbidity and mortality rates associated with cardiovascular disorders remain high, particularly in patients with ST-segment elevation myocardial infarction (STEMI). Therefore, identifying prognostic variables that can be used to predict morbidity and mortality in STEMI patients is critical for better disease management. The HALP (hemoglobin, albumin, lymphocyte, and platelet) score, a novel index indicating nutritional status and systemic inflammation, provides information about prognosis. In this context, this study was carried out to investigate the relationship between HALP score assessed at admission and in-hospital mortality in STEMI patients.

MATERIAL AND METHODS

The population of this retrospective study consisted of 1307 consecutive patients diagnosed with STEMI and who underwent primary percutaneous coronary intervention (pPCI). The 1090 patients included in the study sample were divided into two groups based on the median HALP score value of 3.59. In-hospital and all-cause mortality rates during the follow-up were obtained from the registry.

RESULTS

In-hospital mortality rate was significantly higher in patients with a HALP score of less than 3.59 compared to those with a HALP score of more than 3.59 (7.5% and 0.7%, respectively; P < 0.001). Univariate and multivariate Cox proportional hazard analyses revealed that the HALP score is independently associated with in-hospital mortality. The optimal HALP score cutoff value of <3.72 predicted in-hospital mortality with 95.56% sensitivity and 49.19% specificity.

CONCLUSION

This study's findings indicate that HALP score may be a significant independent predictor of in-hospital mortality in patients with STEMI treated with pPCI.

Impact of Naples Prognostic Score at Admission on In-Hospital and Follow-Up Outcomes Among Patients with ST-Segment Elevation Myocardial Infarction

The Naples prognostic score (NPS) consists of cholesterol level, albumin concentration, lymphocyte-to-monocyte and neutrophil-to-lymphocyte ratios and reflects systemic inflammation, malnutrition, and survival for various conditions. We investigated the relationship of NPS at admission with in-hospital and follow-up outcomes among ST-segment elevation myocardial infarction (STEMI) patients. This retrospective study included 1887 consecutive patients diagnosed with STEMI and who underwent primary percutaneous coronary intervention between March 2020 and May 2022. The study population was divided by NPS into 2; low (0-1-2) and high (3-4). In-hospital adverse events and all-cause mortality rates during follow-up were extracted from the registry. The Median follow-up time was 15 months. The overall mortality rate was 14.6%. The proportions of in-hospital events that included acute respiratory failure, acute kidney injury, malignant arrhythmia, and mortality were significantly higher in the high NPS group than in the low NPS group. Compared with the baseline model, in the full model of Cox regression analysis; NPS was an independent predictor of all-cause mortality (adjusted hazard ratio (aHR): 2.49, 95%CI, 1.75-3.50, P < .001), with a significant improvement in model performance (likelihood ratio χ2, P < .001) and better calibration. In conclusion, we found an association between NPS and in-hospital and follow-up outcomes in STEMI patients.

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

Background

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

Objectives

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

Methods

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

Results

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

Conclusions

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

Association between Malnutrition and Migraine Risk Assessed Using Objective Nutritional Indices

Dietary triggers are frequently linked to migraines. Although some evidence suggests that dietary interventions might offer a new avenue for migraine treatment, the connection between migraine and nutrition remains unclear. In this study, we explored the association between nutritional status and migraines. Clinical data spanning 11 years were sourced from the Smart Clinical Data Warehouse. The nutritional statuses of 6603 migraine patients and 90,509 controls were evaluated using the Controlling Nutrition Status (CONUT) score and the Prognostic Nutrition Index (PNI). The results showed that individuals with mild, moderate, and severe malnutrition were at a substantially higher risk of migraines than those with optimal nutrition, as determined by the CONUT score (adjusted odds ratio [aOR]: 1.72, 95% confidence interval [CI]: 1.63-1.82; aOR: 5.09, 95% CI: 4.44-5.84; aOR: 3.24, 95% CI: 2.29-4.59, p < 0.001). Similarly, moderate (PNI: 35-38) and severe (PNI < 35) malnutrition were associated with heightened migraine prevalence (aOR: 4.80, 95% CI: 3.85-5.99; aOR: 3.92, 95% CI: 3.14-4.89, p < 0.001) compared to those with a healthy nutritional status. These findings indicate that both the CONUT and PNI may be used as predictors of migraine risk and underscore the potential of nutrition-oriented approaches in migraine treatment.

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.

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.

Combined nutritional and frailty screening improves assessment of short-term prognosis in older adults following percutaneous coronary intervention

BACKGROUND

Frailty and malnutrition are well-known factors influencing outcomes of myocardial infarction (MI) in older adults. Due to considerable overlap between both entities, whether the simultaneous assessment of frailty and nutrition adds nonredundant value to risk assessment is unknown.

METHODS

We performed a prospective cohort study on 402 patients aged at least 65 years diagnosed with ST-elevation MI that underwent percutaneous coronary intervention. Nutritional status was assessed by Controlling Nutritional Status score (CONUT), Prognostic Nutritional Index, and Geriatric Nutritional Response Index. Frailty was assessed by Clinical Frailty Scale (CFS), Derby frailty index, and acute frailty network. Primary outcome was major adverse cardiac events (MACE), comprising all-cause mortality, non-fatal MI, and unplanned repeat revascularization during 28-day follow-up. Increment in Global Registry of Acute Coronary Events (GRACE) score performance following the addition of nutrition and frailty was assessed.

RESULTS

The incidence of MACE was 8.02 (6.38-9.95) per 1000 person-days. The CONUT score and CFS were the best predictors of MACE and independent predictors in the multivariate Cox-regression models [hazard ratios, 2.80 (1.54-5.09) and 2.54 (1.50-4.29)]. CONUT score classified 151 (37.6%) patients as malnourished, and CFS classified 131 (32.6%) as frail. The addition of both CONUT and CFS to the GRACE score led to better model discrimination and calibration through improved c-statistic (+0.165) ( P < 0.0001) and Akaike and Bayesian information criteria.

CONCLUSION

Combining CONUT and CFS provides nonredundant prognostic value despite their overlapping nature. Combined nutritional and frailty screening may improve risk prognostication in older adults following MI.

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/.

The association between malnutrition status and hemorrhagic transformation in patients with acute ischemic stroke receiving intravenous thrombolysis

OBJECTIVES

We evaluated the impact of malnutrition as estimated by the controlling nutritional status (CONUT) score and prognostic nutritional index (PNI) on hemorrhagic transformation (HT) and stroke outcomes after intravenous thrombolysis (IVT).

MATERIALS AND METHODS

Using a multicenter registry database, we enrolled 808 patients with acute ischemic stroke who received IVT between August 2013 and May 2021. We defined malnutrition as a CONUT score ≥ 2 and low PNI. The primary outcome measure was the occurrence of symptomatic HT contributing to early neurologic deterioration (END-SHT) after IVT. Multivariable analysis was performed to analyze the association between CONUT score, PNI, and END-SHT after IVT.

RESULTS

The rate of END-SHT was higher with increasing CONUT scores and PNI values. In the multivariable analysis, CONUT score ≥ 5 and low PNI were significantly associated with END-SHT (odds ratio [95% confidence interval], CONUT score ≥ 5: 12.23 [2.41-62.07], p = 0.003; low PNI: 4.98 [1.76-14.09], p = 0.003). The receiver operating characteristic curve showed that both the CONUT score and PNI had good predictive ability. The cutoff values for CONUT and PNI were 5 and 42.3, respectively, for END-SHT.

CONCLUSION

Malnutrition, as denoted by a higher CONUT score and lower PNI, was associated with END-SHT. The joint application of both nutritional markers could be useful in predicting END-SHT after IVT.

Preoperative lymphocyte to C-reactive protein ratio: A new prognostic indicator of post-primary percutaneous coronary intervention in patients with ST-segment elevation myocardial infarction

BACKGROUND

The lymphocyte-to-C-reactive protein ratio (LCR) is a novel inflammatory biomarker for many diseases. This study aimed to examine the association between LCR and major adverse cardiovascular events (MACEs) in patients with ST-segment elevation myocardial infarction (STEMI) who were undergoing percutaneous coronary intervention.

METHODS

A total of 382 patients with STEMI were included in this study; these patients were enrolled from January 2014 to January 2016 at a single center, and the LCR was calculated for each patient. During the in-hospital and long-term follow-up period, MACEs included cardiovascular death, new-onset non-fatal myocardial infarction, heart failure, malignant arrhythmias, revascularization in unstable angina, and new-onset atrial fibrillation. Using receiver operating characteristic curves, we assessed the predictive impact for MACEs using a combination of six inflammatory markers in patients with STEMI and focused on LCR to elucidate its prognostic value. Univariate and multivariate Cox proportional hazard models were used to define the factors associated with MACEs.

RESULTS

Among the assessed variables, preoperative LCR showed the highest accuracy in predicting hospitalized (AUC:0.71) and long-term follow-up(AUC:0.602) MACEs in patients with STEMI. Decreased preoperative LCR was significantly associated with the Gensini score (P < 0.05) and no-reflow (P < 0.05). Multivariate Cox analysis showed that a high preoperative LCR (cutoff threshold = 112.4) was an independent protective factor for hospitalized MACEs in patients with STEMI (hazard ratio, 0.409; 95 % confidence interval, 0.283-0.590; P < 0.001). A high preoperative LCR (cutoff threshold = 106.3) was an independent protective factor for long-term follow-up MACEs in patients with STEMI (hazard ratio, 0.552; 95 % confidence interval, 0.369-0.740; P < 0.001).

CONCLUSION

Preoperative LCR is a novel and valuable prognostic marker to determine the occurrence of MACEs in hospitals and long-term follow-up after primary percutaneous coronary intervention in patients with STEMI.

Impact of the risk of malnutrition on bleeding, mortality, and ischemic events in patients with acute myocardial infarction

BACKGROUND & AIMS

Data regarding the relationship between malnutrition and clinical outcomes of acute myocardial infarction (AMI) is limited. The study aims to evaluate the clinical impact of malnutrition in AMI patients after percutaneous coronary intervention (PCI).

METHODS AND RESULTS

The COREA-AMI registries identified 10,161 AMI patients who underwent PCI from January 2004 to August 2014. Patients with geriatric nutritional risk index (GNRI) scores of <82, 82 to <92, 92 to <98, and ≥98 were categorized as having severe, moderate, mild malnutrition risk, and absence of risk, respectively. Associations of GNRI with Bleeding Academic Research Consortium (BARC) 3 or 5 bleeding, all-cause death, and major cardiovascular events (MACEs; a composite of cardiovascular death, myocardial infarction, or ischemic stroke) were evaluated. Over 50% of AMI patients were malnourished, with 25.0%, 22.7%, and 4.9% having mild, moderate, and severe malnutrition risks, respectively. Over a median 4.9-year follow-up, patients with malnutrition risk had higher risks of BARC 3 or 5 bleeding (adjusted hazard ratios [aHRs], 1.27, 1.55, and 2.02 for mild, moderate, and severe, respectively; p < 0.001), all-cause death (aHRs, 1.26, 1.46, and 1.85 for mild, moderate, and severe, respectively; p < 0.001), and MACEs (aHRs, 1.14, 1.32, and 1.67 for mild, moderate, and severe, respectively; p < 0.001) than patients without risk.

CONCLUSION

Elevated malnutrition risk was common among AMI patients undergoing PCI and was strongly associated with a higher risk of major bleeding, all-cause death, and major ischemic events.

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.

Shaker E, S. Salih K, Jabbar K. Ibrahim A. The predictive value of prognostic nutritional index in patients with COVID-19

Introduction and Aim: It is crucial to identify and start treating the COVID-19 patients who are most at risk of becoming seriously ill as soon as possible. There is some evidence that prognostic nutritional index (PNI) could predict the outcome of some diseases. The study objective was to determine whether PNI is a useful prognostic tool for predicting the outcome of COVID-19-positive patients.   Patients and Methods: At Al-Shifaa Hospital in Baghdad Medical City, a total of 160 patients with COVID-19 participated in a study that was designed as a cross-sectional. At the time of admission, information was collected on the patient's history, including clinical, laboratory, and demographic details. The PNI score was determined by 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (/mm3). Patients were followed up for survival.   Results: The mortality rate was 14.37%. Survived patients had a mean age of 55.85±16.03 years compared with 64.30 ±14.76 years for died patients with a significant difference. Diabetes was more common among died (39.13%) than survived patients (15.33%) with a significant difference. The median serum level of C-reactive protein (CRP), D-dimer and ferritin in deceased patients was 84 mg/L, 2208 ng/ml and 650 ng/ml, respectively compared with 48 mg/L, 858 ng/ml and 550 ng/ml in survived patients with highly significant differences. The mean PNI in survived and non-survived patients was 40.89±5.9 and 37.86±4.36, respectively with a significant difference. The area under the curve (AUC) for PNI was 0.888, 95%CI = 0.827 and 0.939, p = 0.002 At an ideal cutoff value of 39.08, the test's sensitivity and specificity are 80 % and 74 %, respectively.   Conclusion: The PNI score is an easy-to-use, speedy, and cost-effective tool that has the potential to be utilized on a routine basis to predict mortality in patients with COVID-19.

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.

Vasoactive inotropic score as a predictor of long-term mortality in patients after off-pump coronary artery bypass grafting

Increased vasoactive-inotropic score (VIS) is a reliable predictor of mortality and morbidity after cardiac surgery. Here, we retrospectively evaluated the association between VIS and adverse outcomes in adult patients after off-pump coronary artery bypass grafting (OPCAB). We included 2149 patients who underwent OPCAB. The maximal VIS was calculated for the initial 48 postoperative hours using standard formulae. The primary outcome was 1-year death. The composite adverse outcome was death, resuscitation or mechanical support, myocardial infarction, revascularization, new-onset atrial fibrillation, infection requiring antibacterial therapy, acute kidney injury, and stroke. Path-analysis was conducted using lactate and prognostic nutritional index (PNI). VIS was associated with 1-year death (odds ratio [OR] 1.07 [1.04–1.10], p < 0.001) and 1-year composite outcome (OR 1.02 [1.0–1.03], p = 0.008). In path-analysis, high VIS showed a direct effect on the increased risk of 1-year death and composite outcome. In the pathway using lactate as a mediating variable, VIS showed an indirect effect on the composite outcome but no significant effect on death. Low PNI directly affected the increased risk of 1-year death and composite outcome, and had an indirect effect on both outcomes, even when VIS was used as a mediating variable. In patients undergoing OPCAB, high VIS independently predicted morbidity and 1-year death. Patients with increased lactate levels following high VIS had an increased risk of postoperative complications, although not necessarily resulting in death. However, patients with poor preoperative nutritional status had an increased risk of unfavourable outcomes, including death, implying the importance of preoperative nutritional support.

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

AIM

The Controlling Nutritional Status (CONUT) score and the Prognostic Nutritional Index (PNI) reflect the immunonutritional status of patients. However, the associations of these two indices with cardiovascular disease (CVD) have not been characterized in patients with chronic kidney disease (CKD). Therefore, the current study aimed to determine whether the CONUT score or PNI was associated with prior CVD in patients with CKD.

METHODS

A cross-sectional study of 2,751 patients with CKD who were not on dialysis was performed. The patients were grouped into tertiles (T1-T3) of PNI and placed into three groups following their CONUT score: low- (CONUT score, 0), mild- (CONUT score, 1-2), and moderate-to-high- (CONUT score, ≥ 3) risk groups.

RESULTS

Prior CVD was present in 655 (24%) of the participants. Multivariable logistic regression analyses, with adjustment for potential confounders, showed that high CONUT score was associated with prior CVD than the low score (mild-risk group: odds ratio [OR]=1.35, 95% confidence interval [CI]=1.04-1.76; moderate-to-high-risk group: OR=1.66, 95% CI=1.19-2.30). In addition, the lower PNI tertiles were independently associated with prior CVD compared with T3 of PNI (T1: OR=1.45, 95% CI=1.09-1.92; T2: OR=1.32, 95% CI=1.01-1.72).

CONCLUSIONS

Both CONUT score and PNI were found to be independently associated with prior CVD in patients with CKD in the present cross-sectional study. A longitudinal study is needed to elucidate whether these two indices are associated with subsequent cardiovascular events.

Relationship Between Prognostic Nutrition Index and New York Heart Association Classification in Patients with Coronary Heart Disease: A RCSCD-TCM Study

Aim

This study aimed to elucidate the relationship between the prognostic nutrition index (PNI) of patients with coronary heart disease (CHD) and the New York Heart Association (NYHA) classification and the complex relationship between PNI combined body mass index (BMI) and NYHA classification.

Methods

The PNI was applied to 17,413 consecutive patients with CHD. Patients were divided into three groups according to PNI: normal nutrition (PNI ≥ 38), moderate malnutrition (35 < PNI < 38), and severe malnutrition (PNI ≤ 35). A total of 2,052 CHD patients with BMI were selected and stratified by combined subgroups of nutritional status and BMI. Logistic regression analysis was used to evaluate the relationship between the PNI and NYHA classification and to adjust for confounding factors.

Results

The prevalence of malnutrition among the 17,413participants with CHD was 4.2%. Moderate and severe malnutrition were significantly related to NYHA class III and V, and the strongest relationship was observed in NYHA class V (odd ratio [OR]: 6.564; 95% confidence interval [CI]: 4.043–10.658). Malnourished-underweight patients and malnourished-overweight patients were significantly associated with higher NYHA classification, and malnourished-underweight patients (OR: 8.038; 95% CI: 2.091–30.892) were significantly more than malnourished-overweight patients (OR: 3.580; 95% CI: 1.286–9.966).

Conclusion

There were differences in the NYHA classification of CHD patients with different nutritional statuses. The lower the PNI, the worse the NYHA classification of CHD patients. Malnourished-underweight patients had a worse NYHA classification than malnourished-overweight patients.

Prevalence and Prognostic Impact of Malnutrition in Critical Patients With Acute Myocardial Infarction: Results From Chinese CIN Cohort and American MIMIC-III Database

Background

Malnutrition is associated with poor prognosis in patients with acute myocardial infarction (AMI). However, the prognostic impact of malnutrition in critical patients with AMI has not been well addressed.

Methods

We analyzed two critical AMI cohorts from Cardiorenal ImprovemeNt (CIN) in China and Medical Information Mark for Intensive Care-III (MIMIC-III) in the United States. The primary outcome was all-cause mortality. Cox proportional hazards models were constructed to examine the risk of malnutrition for mortality in critical patients with AMI.

Results

There were 2,075 critical patients with AMI (mean age, 62.5 ± 12.3 years, 20.00% were female) from the CIN cohort and 887 critical patients with AMI (mean age, 70.1 ± 12.9 years, 37.43% were female) from MIMIC-III included in this study. Based on the Controlling Nutritional Status (CONUT) score, of the Chinese patients with AMI, the prevalence was 47.5, 28.3, and 3.5% for mild, moderate, and severe malnutrition, respectively. The percentage of mild, moderate, and severe malnutrition was 41.60, 30.55, and 7.32% in the MIMIC-III cohort, respectively. Controlling for confounders, worse nutritional state was significantly associated with increased risk for all-cause mortality [an adjusted hazard ratio for mild, moderate, and severe malnutrition, respectively, 1.10 (95% confidence interval (CI): 0.76–1.59), 1.49 (95% CI: 1.02–2.19), and 1.70 (95% CI: 1.00–2.88) in the CIN cohort and 1.41 (95% CI: 0.95–2.09), 1.97 (95% CI: 1.32–2.95), and 2.70 (95% CI: 1.67–4.37) in the MIMIC-III cohort].

Conclusion

Malnutrition was independently associated with an increased risk of all-cause mortality in critical patients with AMI after full adjustments. Further trials are needed to prospectively evaluate the efficacy of nutritional interventions in critical patients with AMI.

Malnutrition outweighs the effect of the obesity paradox

BACKGROUND

High body mass index (BMI) is paradoxically associated with better outcome in patients with heart failure (HF). The effects of malnutrition on this phenomenon across the whole spectrum of HF have not yet been studied.

METHODS

In this observational study, patients were classified by guideline diagnostic criteria to one of three heart failure subtypes: reduced (HFrEF), mildy reduced (HFmrEF), and preserved ejection fraction (HFpEF). Data were retrieved from the Viennese-community healthcare provider network between 2010 and 2020. The relationship between BMI, nutritional status reflected by the prognostic nutritional index (PNI), and survival was assessed. Patients were classified by the presence (PNI < 45) or absence (PNI ≥ 45) of malnutrition.

RESULTS

Of the 11 995 patients enrolled, 6916 (58%) were classified as HFpEF, 2809 (23%) HFmrEF, and 2270 HFrEF (19%). Median age was 70 years (IQR 61-77), and 67% of patients were men. During a median follow-up time of 44 months (IQR 19-76), 3718 (31%) of patients died. After adjustment for potential confounders, BMI per IQR increase was independently associated with better survival (adj. hazard ratio [HR]: 0.91 [CI 0.86-0.97], P = 0.005), this association remained significant after additional adjustment for HF type (adj. HR: 0.92 [CI 0.86-0.98], P = 0.011). PNI was available in 10 005 patients and lowest in HFrEF patients. PNI was independently associated with improved survival (adj. HR: 0.96 [CI 0.95-0.97], P < 0.001); additional adjustment for HF type yielded similar results (adj. HR: 0.96 [CI 0.96-0.97], P < 0.001). Although obese patients experienced a 30% risk reduction, malnutrition at least doubled the risk for death with 1.8- to 2.5-fold higher hazards for patients with poor nutritional status compared with normal weight well-nourished patients.

CONCLUSIONS

The obesity paradox seems to be an inherent characteristic of HF regardless of phenotype and nutritional status. Yet malnutrition significantly changes trajectory of outcome with regard to BMI alone: obese patients with malnutrition have a considerably worse outcome compared with their well-nourished counterparts, outweighing protective effects of high BMI alone. In this context, routine recommendation towards weight loss in patients with obesity and HF should generally be made with caution and focus should be shifted on nutritional status.

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.

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

Background and Aims

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

Methods

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

Results

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

Conclusion

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

Relationship between the prognostic nutritional index and resistant hypertension in patients with essential hypertension

OBJECTIVES

Immune system activation plays a role in resistant hypertension (RHTN) pathogenesis. The clinical effect of the prognostic nutritional index (PNI) on patients with RHTN remains unclear. The aim of this study investigated the possible correlation between PNI and RHTN.

METHODS

In this cross-sectional study, we enrolled 180 adult subjects. In patients were classified into three groups according to their office and ambulatory blood pressure measurements (ABPM): RHTN (n = 60), controlled hypertension (CHTN, n = 60), and normotension-control (NT-C, n = 60). RHTN was defined as BP ≥140/90 mm Hg while taking ≥3 antihypertensive medications or BP <140/90 mm Hg while taking ≥4 medications. The PNI was calculated from the 10 x serum albumin (g/dL) + 0.005 x total lymphocyte count (/μL) formula.

RESULTS

Office and ABPM were significantly higher in patients with RHTN. Patients in the RHTN (46.1 ± 5.3) had significantly lower PNI than that in the CHTN (54.9 ± 6.7) (P = .032), and PNIs of both hypertensive groups were significantly lower than the NT-C group (P = .019, for both). The ROC curve analysis performed to assess the predictive value of PNI for RHTN and using 50.9 optimal cutoff value of PNI for RHTN gave a sensitivity of 77% and a specificity of 68.5% (AUC = 0.73, 95% CI 0.69-0.96).Multivariate analysis indicated diabetes, 24-h ABPM SBP, CRP, pill burden, and PNI (<51.6) as independent predictors of RHTN.

CONCLUSION

This study showed that the level of PNI was significantly lower in patients with RHTN compared to patients with CHTN. PNI is independently related to RHTN.

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.

Predictive Value of CHA2DS2 -VASc-HSF Score for Severity of Acute Coronary Syndrome

CHADS₂ and CHA₂DS₂-VASc scores have been used to assess the prognostic risk of thromboembolism in non-valvular atrial fibrillation patients. Recent studies have shown the utility of CHADS₂ and CHA₂DS₂-VASc scores for evaluating the severity of coronary artery disease (CAD). The newly defined CHA₂DS₂-VASc-HSF score evaluates atherosclerosis and is associated with CAD severity. This study investigated the association between the CHA₂DS₂-VASc-HSF score and acute coronary syndrome (ACS) severity as assessed by the Gensini score and the number of vessels. Furthermore, this study also compared the diagnostic value of the CHADS₂, CHA2 DS2-VASc, and CHA₂DS₂-VASc-HSF score for ACS. A total of 2367 eligible inpatients (ACS group [n = 2030]; non-CAD group [n = 337]) were consecutively enrolled in this study. Receiver operating characteristic curve diagnostic tests and logistic regression models were used to analyze the risk factors for ACS. The CHADS₂, CHA₂DS₂-VASc, and CHA₂DS₂-VASc-HSF scores were significantly higher in the ACS group than those in the control group. After adjusting for numerous traditional CAD risk factors, an increased CHA₂DS₂-VASc-HSF score was found to be an independent risk factor for patients with ACS (odds ratio 1.401, 95% confidence interval 1.044, −1.879; P < 0.05). A newly diagnosed CHA₂DS₂-VASc-HSF score predicts the severity of ACS.

Prognostic Nutritional Index as a New Prediction Tool for Coronary Collateral Development

BACKGROUND

Nutritional status is a predictor of the prognosis of cardiovascular diseases. The association between the Prognostic Nutritional Index (PNI), which is an immunonutritional parameter, and cardiovascular diseases has been extensively studied in the literature.

OBJECTIVES

The aim of this study was to investigate whether PNI is associated with coronary collateral development.

METHODS

This retrospective study included 172 patients with chronic total occlusion. The patients were diagnosed with stable coronary artery disease, and all patients underwent coronary angiography. PNI was calculated using serum albumin level and lymphocyte count. Collateral circulation was classified according to Rentrop grade.

RESULTS

There was a positive correlation between PNI and Rentrop grade (r = 0.168, p = 0.026) and a negative correlation between C-reactive protein and PNI (r = -0.353, p < 0.001). Multivariate logistic regression analysis showed that uric acid and PNI were independent predictors of Rentrop grade (p = 0.008 and p = 0.037, respectively).

CONCLUSIONS

This study showed that PNI, which can easily be calculated using serum albumin level and lymphocyte count, was a predictor of coronary collateral development in terms of Rentrop grade.

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 clinical outcomes in patients with cerebral venous sinus thrombosis

Background

Lower prognostic nutritional index (PNI) is related to the poor prognosis of cardiovascular diseases. However, little is known about PNI and its relationship with the prognosis of cerebral venous sinus thrombosis (CVST).

Methods

CVST patients were retrospectively identified from January 2013 till June 2019. Patients in the acute / subacute phase were selected as subjects. Poor prognosis was defined as a modified Rankin Scale (mRS) of 3–6. Multivariate logistic regression analysis was used to confirm if lower PNI was associated with a poor prognosis.

Results

A total of 297 subjects with follow-up data were enrolled. Thirty-three (11.1%) had a poor outcome. Multivariate logistic regression analysis suggested that PNI was an important predictive factor of poor outcome in acute/subacute CVST (odds ratio, 0.903; 95% CI, 0.833–0.978; P = 0.012). The optimal cut-off value for predicting the poor prognosis of PNI was 44.2. Kaplan-Meier analysis and log-rank test suggested that the lower the PNI value, the higher the mortality rate (P < 0.001). In addition, the nomogram that was set up showed that lower PNI was an index of poor prognosis. The c-index for acute/subacute patients with CVST was 0.872.

Conclusion

Lower PNI is correlated with a higher risk of adverse clinical outcomes in patients with acute/subacute CVST.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-021-02436-w.

Impact of nutritional and inflammatory status in patients with critical limb-threatening ischemia

BACKGROUND

A pro-inflammatory state and a poor nutritional status have been associated with severity and prognosis of patients with peripheral arterial disease (PAD). The clinical applicability of the different pre-operative nutritional and inflammatory biomarkers in patients with critical limb-threatening ischemia (CLTI) was analyzed.

METHODS

A retrospective observational study was performed, that included all patients with CLTI revascularized from January 2016 to July 2019. The inflammatory state was calculated using neutrophil/lymphocyte (NLR), lymphocyte/monocyte (LMR) and platelet/lymphocyte ratios (PLR). For nutritional status, the Prognostic Nutritional Index (PNI) was calculated. Mortality and number of major amputations at 6 months and hospital length-of stay were studied.

RESULTS

310 patients were included. Higher levels of NLR and lower levels of PNI were associated with mortality (6.61±5.6 vs. 3.98±3.27, P=0.034; 40.33±7.89 vs. 45.73±7.48, P=0.05, respectively). Lower levels of PNI and LMR (42.57±7.82 vs. 45.44±7.65, P=0.036; 2.77±1.61 vs. 3.22±1.75, P=0.013, respectively) and higher levels of NLR (6.91±7.85 vs. 3.94±2.57, P=0.023) were associated with major amputations. The mean hospital length-of-stay was higher in patients with lower levels of PNI and LMR (P=0.000 and P=0.003) and higher levels of NLR and PLR (P=0.001 and P=0.002). A PNI<42.87 predicted short-term mortality with a 66.7% of sensitivity and a 66.8% of specificity (P=0.000).

CONCLUSIONS

Our experience suggests that these inflammatory and nutritional biomarkers are independent predictors of short-term mortality and major amputations. In addition, our results suggest that PNI could be used to predict the short-term mortality with high sensitivity and specificity.

Baseline prognostic nutritional index and changes in pretreatment body mass index associate with immunotherapy response in patients with advanced cancer

Background

Recent research suggests that baseline body mass index (BMI) is associated with response to immunotherapy. In this study, we test the hypothesis that worsening nutritional status prior to the start of immunotherapy, rather than baseline BMI, negatively impacts immunotherapy response.

Methods

We studied 629 patients with advanced cancer who received immune checkpoint blockade at New York University. Patients had melanoma (n=268), lung cancer (n=128) or other primary malignancies (n=233). We tested the association between BMI changes prior to the start of treatment, baseline prognostic nutritional index (PNI), baseline BMI category and multiple clinical end points including best overall response (BOR), objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS) and overall survival (OS).

Results

Decreasing pretreatment BMI and low PNI were associated with worse BOR (p=0.04 and p=0.0004), ORR (p=0.01 and p=0.0005), DCR (p=0.01 and p<0.0001), PFS (p=0.02 and p=0.01) and OS (p<0.001 and p<0.001). Baseline BMI category was not significantly associated with any treatment outcomes.

Conclusion

Standard of care measures of worsening nutritional status more accurately associate with immunotherapy outcomes than static measurements of BMI. Future studies should focus on determining whether optimizing pretreatment nutritional status, a modifiable variable, leads to improvement in immunotherapy response.

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.

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.

Value of prognostic nutritional index for survival prediction in trans-catheter aortic valve replacement compared to other common nutritional indexes

BACKGROUND

Nutritional status predicts outcomes after TAVR. Predictive value of Prognostic Nutritional Index (PNI) was investigated in patients undergoing TAVR, and compared to other nutritional indexes.

METHODS

A cohort of 114 patients undergoing TAVR in a high-volume centre was studied. A prospective 1-year follow-up was completed. PNI was estimated as follows: (10 × serum albumin[g/dl])+(0.005 × total lymphocytes [1000/μl]). One-year survival was compared in patients with PNI above vs below median; Kaplan-Meier curves were created. A multivariate analysis was used to assess predictive value of PNI for 1-year mortality. ROC curves were used to assess discrimination by PNI, and to compare it with Geriatric Nutritional Risk Index (GNRI) and Body Mass Index (BMI).

RESULTS

Mean age was 82.2 years, 59.6% were male. Mean PNI was 46 ± 5. Pre-procedurally, no differences were found between patients with high vs. low PNI. One-year mortality was significantly higher in patients with low PNI values (19/57 vs. 4/57; p < .001). Complications did not differ. A higher PNI predicted 1-year survival, even after adjusting for clinical factors (model 1: HR 0.8, 95% CI 0.7-0.9, p < .0001) and laboratory parameters (NT-proBNP, IL-6, CRP, eGFR, cystatin C, haemoglobin) (model 2: HR 0.8, 95% CI 0.7-0.9, p < .05). ROC curves revealed a stronger predictive value for PNI (AUC 0.80) compared to GNRI (0.77) and BMI (0.6). The optimal cut-off for PNI was 45.

CONCLUSION

PNI is a useful and practical nutritional marker reflecting malnutrition and inflammation prior to the intervention, and strongly predicts 1-year survival. PNI seems to be a better prognostic marker than BMI or GNRI after TAVR.

Impact of the Malnutrition on Mortality in Elderly Patients Undergoing Percutaneous Coronary Intervention

Purpose

Malnutrition has been shown to be related to adverse clinical outcomes in patients with heart failure, hypertension, atrial fibrillation and other cardiovascular diseases. However, in the patients with coronary artery disease (CAD) undergoing percutaneous coronary interventions (PCI), especially in the elderly, the association of nutritional state and all-cause mortality remains unknown. We aimed to investigate the association of malnutrition with all-cause mortality in the elder patients undergoing PCI.

Patients and Methods

Based on the largest retrospective and observational cohort study from January 2007 to December 2017, the Controlling Nutritional Status (CONUT) score was applied to 21,479 consecutive patients with age ≥60 who undergoing PCI for nutritional assessment. Participants were classified as absent, mild, moderate and severe malnutrition by CONUT score. The Kaplan-Meier method was used to compare all-cause mortality among the above four groups. Multivariable Cox proportional hazard regression analyses were performed to examine the association of malnutrition with all-cause mortality.

Results

According to the CONUT score, 48.19%, 15.08% and 0.94% patients were mildly, moderately and severely malnourished, respectively. During a median follow-up of 5.16 years (interquartile range: 3.02 to 7.89 years), 3173 (14.77%) patients died. Kaplan-Meier analysis showed that the risk of all-cause mortality was significantly higher in patients with a worse nutritional status. Compared with normal nutritional state, malnutrition was associated with significantly increased risk for all-cause mortality (adjusted hazard ratio for mild, moderate and severe degrees of malnutrition, respectively: 1.20 [95% confidence interval (CI): 1.09 to 1.33], 1.32 [95% CI: 1.17 to 1.49] and 1.76 [95% CI: 1.33 to 2.33]).

Conclusion

Malnutrition is prevalent among elderly patients with CAD undergoing PCI, and is strongly related to the all-cause mortality increasing. For elderly patients with CAD undergoing PCI, it is necessary to assess the status of nutrition, and evaluate the efficacy of nutritional interventions.

Predicting One-Year Deaths and Major Adverse Vascular Events with the Controlling Nutritional Status Score in Elderly Patients with Non-ST-Elevated Myocardial Infarction Undergoing Percutaneous Coronary Intervention

The prognostic value of malnutrition in elderly patients with non-ST-elevated myocardial infarction (NSTEMI) is not fully understood. Nutritional characteristics were evaluated by novel Controlling Nutritional status (CONUT), the prognostic nutritional index (PNI) and the geriatric nutritional risk index (GNRI) scores. The impact of these scores on major outcomes in 253 NSTEMI patients over 60 years and older were assessed. Compared to those with good nutritional status; malnourished patients had more major adverse cardiac and cerebrovascular events (MACCEs) at 1-year follow up. Multivariable cox regression analysis revealed that CONUT (hazard ratio = 1.372; p < 0.01) was independent predictor of MACCEs, whereas PNI (p = 0.44) and GNRI (p = 0.52) were not. The discriminating power of the CONUT (AUC: 0.79) was adequate and significantly superior to both the PNI (AUC: 0.68) and the GNRI (AUC: 0.60), with a p-value for both < 0.01. Patients with elevated CONUT exhibited the highest event rate for all-cause mortality and MACCEs in survival analysis (p < 0.01). We conclude that malnutrition is strongly associated with adverse outcomes in older patients with NSTEMI. In fact, the CONUT score adequately predicts one-year MACCEs among elderly NSTEMI patients who achieve complete revascularization after coronary intervention.

Association of Preoperative Prognostic Nutritional Index and Postoperative Acute Kidney Injury in Patients with Colorectal Cancer Surgery

The prognostic nutritional index (PNI) has been reported to be associated with postoperative complications and prognosis in cancer surgery. However, few studies have evaluated the association between preoperative PNI and postoperative acute kidney injury (AKI) in colorectal cancer patients. This study evaluated association of preoperative PNI and postoperative AKI in patients who underwent colorectal cancer surgery. This study retrospectively analyzed 3543 patients who underwent colorectal cancer surgery between June 2008 and February 2012. The patients were classified into four groups by the quartile of PNI: Q1 (≤43.79), Q2 (43.79–47.79), Q3 (47.79–51.62), and Q4 (≥51.62). Multivariate regression analysis was performed to assess the risk factors for AKI and 1-year mortality. AKI was defined according to Kidney Disease Improving Global Outcomes classification (KDIGO) criteria. Additionally, we assessed surgical outcomes such as hospital stay, ICU admission, and postoperative complications. The incidence of postoperative AKI tended to increase in the Q1 group (13.4%, 9.2%, 9.4%, 8.8%). In the multivariate analysis, high preoperative PNI was significantly associated with low risk of postoperative AKI (adjusted odds ratio [OR]: 0.96, 95% confidence interval [CI]: 0.93–0.99, p = 0.003) and low 1-year mortality (OR: 0.92, 95% CI: 0.86–0.98, p = 0.011). Male sex, body mass index, diabetes mellitus, and hypertension were risk factors for AKI. The Q1 (≤43.79) group had poor surgical outcomes, such as postoperative AKI (OR: 1.52, 95% CI: 1.18–1.95, p = 0.001), higher rates of ICU admission (OR: 3.13, 95% CI: 1.82–5.39, p < 0.001) and higher overall mortality (OR: 3.81, 95% CI: 1.86–7.79, p < 0.001). In conclusion, low preoperative PNI levels, especially in the Q1 (≤43.79), were significantly associated with postoperative AKI and surgical outcomes, such as hospital stay, postoperative ICU admission, and mortality.

Predictive Value of the Prognostic Nutrition Index for the Prognosis of Patients With Severe Burns Treated With the Meek Graft

The Meek technique is currently a key method for treating wounds in severely burned patients. The survival rate of skin grafts is an important factor affecting the success rate of treatment. The purpose of this study was to investigate the effect of the preoperative prognostic nutritional index (PNI) on the survival rate of skin grafts in patients treated with the Meek technique in the early stage of severe burns. We retrospectively analyzed the data of severely burned patients who were treated at the burn center between January 2013 and December 2019 and met the inclusion criteria. The albumin (ALB) level and lymphocyte count obtained 1 day before the operation was used to calculate the preoperative PNI (PNI = serum ALB level [g/L] + 5 × total number of peripheral blood lymphocytes [×109/L]). According to the survival rates of skin grafts 14 days after the operation, patients with severe burns were divided into a group with good skin graft survival (survival rate ≥75%, abbreviated as group G) and a group with poor skin graft survival (survival rate <75%, abbreviated as group P). Receiver-operating characteristic (ROC) curves and univariate and multivariate analyses were used to evaluate the predictive value of the preoperative PNI for the prognosis of patients treated with the Meek technique. One hundred and twenty-one patients were enrolled in this study. Groups G (n = 66 cases) and P (n = 55 cases) did not have significant differences in age, sex, and body mass index (P > .05). The total burned surface area, burn index, platelet-to-lymphocyte ratio, preoperative platelet count, operative time, total protein, albumin level, globulin level, and PNI were the risk factors affecting the survival of Meek grafts. The burn index was an independent risk factor for poor skin graft survival (odds ratio [OR]: 1.049, 95% confidence interval [CI]: 1.020-1.079; P < .05). The preoperative PNI was a protective factor against poor skin graft survival (OR: 0.646, 95% CI: 0.547-0.761; P < .05). The ROC curve determined that the optimal cut-off value for the preoperative PNI was 34.98. There were 59 cases with PNI > 34.98 (the high PNI group) and 62 cases with PNI < 34.98 (the low PNI group). The survival rate of skin grafts in patients with a high PNI was generally significantly higher than that of patients with a low preoperative PNI (P < .05). Five (8.47%) patients in the high PNI group died, compared with 16 (25.8%) patients in the low PNI group. The difference in the mortality rate between the two groups was significant (P < .05). Preoperative PNI can be used as a predictor of the survival rate of skin grafts in patients treated with the Meek technique in the early stage of severe burns.

Comparative analysis of three nutrition scores in predicting mortality after acute myocardial infarction

OBJECTIVE

We investigated the utility of nutrition scores in predicting mortality and prognostic importance of nutrition status using three different scoring systems in patients with acute myocardial infarction (AMI).

METHODS

In total, 1147 patients with AMI were enrolled in this study (72.5 % men; mean age 65.6 years). Patients were divided into three groups according to the geriatric nutritional risk index (GNRI); prognostic nutritional index (PNI); and triglycerides, total cholesterol, and body weight index(TCBI) scores as tertile: low (GNRI ≤ 103.8, n = 382), intermediate (103.8 < GNRI ≤ 112.3, n = 383), and high (GNRI > 112.3, n = 382) GNRI groups; low (PNI ≤ 50.0, n = 382), intermediate (50.0 < PNI ≤ 56.1, n = 383), and high (PNI > 56.1, n = 382) PNI groups; and low (TCBI ≤ 1086.4, n = 382), intermediate (1086.3 < GNRI ≤ 2139.1, n = 383), and high (TCBI > 2139.1, n = 382) TCBI groups.

RESULTS

In the GNRI, TCBI, and PNI groups, the cumulative incidence of all-cause death and major adverse cardiovascular events (MACEs) was significantly higher in the low score group, followed by the intermediate and high score groups. Moreover, both intermediate and low PNI groups had a similar cumulative incidence of all-cause death and MACE. The GNRI score (AUC 0.753, 95% CI 0.608~0.745, P = 0.009) had significantly higher areas under the curve (AUCs) than the TCBI (AUC 0.659, 95% CI 0.600~0.719, reference) and PNI (AUC 0.676, 95% CI 0.608~0.745, P = 0.669) scores.

CONCLUSIONS

Patients with low nutrition scores were at a higher risk of MACE and all-cause death than patients with high nutrition scores. Additionally, the GNRI had the greatest incremental value in predicting risks among the three different scoring systems used in this study.