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.

Obesity Paradox in Patients with Acute Coronary Syndrome: Is Malnutrition the Answer?

BACKGROUND

Obesity paradox has been reported in patients with cardiovascular disease, showing an inverse association between obesity as defined by BMI (in kg/m2) and prognosis. Nutritional status is associated with systemic inflammatory response and affects cardiovascular disease outcomes.

OBJECTIVES

This study sought to examine the influence of obesity and malnutrition on the prognosis of patients with acute coronary syndrome (ACS).

METHODS

This study included consecutive patients diagnosed with ACS and underwent coronary angiogram between January 2009 and February 2023. At baseline, patients were categorized according to their BMI as follows: underweight (<18), normal weight (18-24.9), overweight (25.0-29.9), and obese (>30.0). We assessed the nutritional status by Prognostic Nutritional Index (PNI). Malnutrition was defined as a PNI value of <38.

RESULTS

Of the 21,651 patients with ACS, 582 (2.7%) deaths from any cause were observed over 28.7 months. Compared with the patient's state of normal weight, overweight, and obesity were associated with decreased risk of all-cause mortality. Malnutrition was independently associated with poor survival (hazards ratio: 2.64; 95% CI: 2.24, 3.12; P < 0.001). In malnourished patients, overweight and obesity showed a 39% and 72% reduction in the incidence of all-cause mortality, respectively. However, in nourished patients, no significant reduction in the incidence of all-cause mortality was observed (all P > 0.05).

CONCLUSIONS

Obesity paradox appears to occur in patients with ACS. Malnutrition may be a significant independent risk factor for prognosis in patients with ACS. The obesity paradox is influenced by the status of malnutrition.

Body composition change indices combined with Prognostic Nutritional Index predicts the clinical outcomes of patients with gastric cancer treated with immune checkpoint inhibitor

OBJECTIVE

This study aimed to investigate the prognostic significance of the Prognostic Nutritional Index (PNI) in conjunction with body composition change indices, namely subcutaneous fat area (SFA) and skeletal muscle index (SMI), with regard to clinical outcomes in patients with gastric cancer (GC) undergoing immune checkpoint inhibitors (ICIs) treatment.

METHODS

This retrospective investigation encompassed patients with comprehensive clinical and pathological data, inclusive of portal phase enhanced CT images. Continuous variables underwent analysis utilizing the Student t-test or Mann-Whitney U-test, while categorical variables were assessed employing the Pearson chi-squared test or Fisher test. Survival outcomes were evaluated using Kaplan-Meier survival curves and the Log-rank test. Independent prognostic indicators were determined through Cox regression analysis, and a nomogram predicting survival probability for progression-free survival (PFS) and overall survival (OS) was constructed.

RESULTS

Within the PNI-SFA groups, patients in Group 1 exhibited inferior PFS and OS compared to the other two groups. Similarly, among the PNI-SMI groups, Group 1 patients demonstrated poorer PFS and OS. PNI-SMI and Eosi were identified as independent prognostic factors through Cox regression analysis. Furthermore, positive associations with patient prognosis were observed for BMI, SAF, SMI, and PNI.

CONCLUSION

The comprehensive consideration of PNI-SFA and PNI-SMI proved to be a superior prognostic predictor for GC patients undergoing ICI treatment.

Prognostic Nutritional Index Correlates with Liver Function and Prognosis in Chronic Liver Disease Patients

The Prognostic Nutritional Index (PNI) is widely recognized as a screening tool for nutrition. We retrospectively examined the impact of PNI in patients with chronic liver disease (CLD, n = 319, median age = 71 years, 153 hepatocellular carcinoma (HCC) patients) as an observational study. Factors associated with PNI < 40 were also examined. The PNI correlated well with the albumin-bilirubin (ALBI) score and ALBI grade. The 1-year cumulative overall survival rates in patients with PNI ≥ 40 (n = 225) and PNI < 40 (n = 94) were 93.2% and 65.5%, respectively (p < 0.0001). In patients with (p < 0.0001) and without (p < 0.0001) HCC, similar tendencies were found. In the multivariate analysis, hemoglobin (p = 0.00178), the presence of HCC (p = 0.0426), and ALBI score (p < 0.0001) were independent factors linked to PNI < 40. Receiver operating characteristic (ROC) curve analysis based on survival for the PNI yielded an area under the ROC curve of 0.79, with sensitivity of 0.80, specificity of 0.70, and an optimal cutoff point of 42.35. In conclusion, PNI can be a predictor of nutritional status in CLD patients. A PNI of <40 can be useful in predicting the prognosis of patients with CLD.

Impact of malnutrition on prognosis in patients with pulmonary arterial hypertension

Pulmonary arterial hypertension is a life-threatening disease that coexists with right heart failure. We evaluated the relationship between malnutrition and prognosis in patients with pulmonary arterial hypertension, as malnutrition is known as a prognosis determinant in chronic heart failure. We retrospectively reviewed data of patients with pulmonary arterial hypertension before treatment. The Geriatric Nutritional Risk Index, Prognostic Nutritional Index, and Controlling Nutritional Status scores on the day of diagnosis were calculated to assess the nutritional status. Clinical endpoints were defined as composite outcomes of all-cause death or lung transplantation. Eighty patients were enrolled (mean age, 50 years; 23 men). The mean pulmonary arterial pressure was 47 ± 19 mmHg, Geriatric Nutritional Risk Index was 99.9 ± 12.0, and Prognostic Nutritional Index was 46.3 ± 10.0. The median Controlling Nutritional Status score was 2 (1-4). During the median 5.5-year follow-up period, 28 composite events occurred. Kaplan-Meier analysis demonstrated significant differences in the incidence of clinical endpoints between groups divided by each median Geriatric Nutritional Risk Index, Prognostic Nutritional Index, and Controlling Nutritional Status score (p = 0.007, 0.039, and 0.010, respectively). In multivariate Cox regression analysis, clinical endpoints were significantly associated with Geriatric Nutritional Risk Index (hazard ratio: 0.953, 95% confidence interval: 0.918-0.990), Prognostic Nutritional Index (hazard ratio: 0.942, 95% confidence interval: 0.892-0.996), and Controlling Nutritional Status score (hazard ratio: 1.230, 95% confidence interval: 1.056-1.433) after adjustment for factors associated in univariate Cox regression analysis. Malnutrition at diagnosis is a useful prognostic predictor for patients with pulmonary arterial hypertension.

Preoperative Prognostic Nutritional Index Is a Prognostic Indicator of Cancer-Specific Survival in Patients Undergoing Endometrial Cancer Surgery

BACKGROUND

The prognostic nutritional index (PNI) reflects systemic inflammation and nutritional status. This study aimed to evaluate the effect of preoperative PNI on postoperative cancer-specific survival in patients with endometrial cancer (EC).

METHODS

Demographic, laboratory, and clinical data were retrospectively collected from 894 patients who underwent surgical resection of EC. Preoperative PNIs were determined from the serum albumin concentration and total lymphocyte count, which were measured within 1 month before surgery. Patients were classified into high PNI (n = 619) and low PNI (n = 275) groups according to the preoperative PNI cut-off value of 50.6. The stabilized inverse probability of treatment weighting (IPTW) method was used to reduce bias: a weighting cohort divided into high PNI (n = 615.4) and low PNI (n = 272.3) groups. The primary outcome measure was postoperative cancer-specific survival.

RESULTS

The postoperative cancer-specific survival rate was higher in the high PNI group than the low PNI group in the unadjusted cohort (93.1% vs. 81.5%; proportion difference [95% confidence interval; 95% CI], 11.6% [6.6-16.6%]; P < 0.001) and in the IPTW-adjusted cohort (91.4% vs. 86.0%; 5.4% [0.8-10.2%]; P = 0.021). In the multivariate Cox proportional hazard regression model in the IPTW-adjusted cohort, high preoperative PNI (hazard ratio [95% CI], 0.60 [0.38-0.96]; P = 0.032) was an independent determinant of postoperative cancer-specific mortality. The multivariate-adjusted restricted cubic spline curve for the Cox regression model showed a significant negative association between preoperative PNI and postoperative cancer-specific mortality (P < 0.001).

CONCLUSION

High preoperative PNI was associated with improved postoperative cancer-specific survival in patients undergoing surgery for EC.

Predictive value of Controlling Nutritional Status score and Prognostic Nutritional Index for systemic inflammatory response syndrome/sepsis after percutaneous nephrolithotomy

PURPOSE

Our aim was to investigate the predictive value of Controlling Nutritional Status (CONUT) score and Prognostic Nutritional Index (PNI) for systemic inflammatory response syndrome (SIRS)/sepsis after percutaneous nephrolithotomy (PNL).

METHODS

Demographic and clinical data of 422 patients who underwent PNL were evaluated. The CONUT score was calculated from lymphocyte count, serum albumin, and cholesterol, while the PNI was calculated using lymphocyte count and serum albumin. Spearman's correlation coefficient was used to evaluate the relationship between nutritional scores and systemic inflammation markers. Logistic regression analysis was performed to determine the risk factors for SIRS/sepsis development after PNL.

RESULTS

Patients with SIRS/sepsis had a significantly higher preoperative CONUT score and lower PNI compared with the SIRS/sepsis (-) group. A positive significant correlation between CONUT score and CRP (rho = 0.75), CONUT score and procalcitonin (rho = 0.36), and CONUT score and WBC (rho = 0.23) were determined. Additionally, a negative significant correlation was shown between PNI and procalcitonin (rho = - 0.30) and PNI and CRP (rho = - 0.64). The ROC curve analysis showed that the cut-off values for the CONUT score and PNI were 4 (AUC = 0.827) and 42 (AUC = 0.734), respectively. Age, stone size, history of pyelonephritis, residual stone, presence of infection stone, CONUT score ≥ 4, and PNI ≤ 42 were found to be independent predictors for postoperative SIRS/sepsis in multivariate analysis.

CONCLUSION

Our results demonstrated that preoperative CONUT score and PNI are potential predictive factors for SIRS/sepsis development after PNL. Therefore, patients with CONUT score ≥ 4 and PNI ≤ 42 are suggested to be closely monitoring due to the risk of post-PNL SIRS/sepsis.

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.

Prognostic nutritional index: Is it associated with the prognosis of Crimean Congo hemorrhagic fever

INTRODUCTION

The prognostic nutritional index (PNI) is calculated using total serum lymphocyte counts and albumin levels. We aimed to analyze the role of PNI in predicting intensive care unit (ICU) referral and mortality in patients with Crimean Congo hemorrhagic fever (CCHF).

MATERIALS AND METHODS

Our target population was adult (age >18) patients who presented between March 2015 and October 2021 within 5 days of symptom emergence and were diagnosed with CCHF. The predictive value of PNI was analyzed by the receiver operating curve analysis. The patients were categorized based on the severity grading scores (SGS) as mild, moderate, and severe. The relationship between PNI and ICU referral and mortality was analyzed by logistic regression analysis.

RESULTS

Overall, 115 patients with the diagnosis of CCHF were included. 13.9% (n = 16) of the patients were referred to ICU while 11.3% (n = 13) died. A comparison of the patients with different SGS grades revealed that they were significantly different regarding PNI (p < 0.001). There was a significant negative correlation between PNI and SGS (r = -0.662; p < 0.001). PNI had a PV regarding ICU referral and mortality ([area under the curve [AUC] = 0.723, 95% confidence interval [CI]: 0.609-0.836, p = 0.004 [AUC = 0.738, 95% CI: 0.613-0.863, p = 0.005]). The PNI threshold was 36.1 for ICU referral and mortality. The rates of female patients, hospitalization periods longer than 1 week, platelet apheresis replacement, diabetes mellitus, bleeding history, ICU admission, and mortality were significantly higher in patients with a PNI of lower than 36.1 (p < 0.05).

CONCLUSION

PNI can predict ICU referral and mortality in patients admitted due to CCHF.

A comparison of three preoperative nutritional assessment methods for predicting ovarian cancer patient prognosis: which is better?

BACKGROUND

The study aimed to compare the predictive values of three widely used nutritional assessment methods, body mass index (BMI), Nutritional Risk Screening 2002 (NRS 2002), and the prognostic nutritional index (PNI), for different clinical prognostic indicators of ovarian cancer patients.

METHODS

Patients diagnosed with ovarian cancer treated in our hospital between January 2017 and March 2019 were retrospectively included. The three nutritional assessment methods were assessed, and multivariable analysis was conducted to explore predictive factors for clinical prognoses. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUROC) were generated to evaluate the discriminative abilities of the three nutritional assessment tools.

RESULTS

A total of 442 patients were recruited. Multivariable analysis revealed that the PNI value predicted 1-year death and 1-year recurrence and that both the NRS 2002 score and the PNI value predicted 30-day readmission (P < 0.05). For PNI, AUROCs were 0.834 for predicting 1-year death and 0.719 for 1-year recurrence prediction; for NRS, the AUROC was 0.820 2002 for predicting 30-day readmission. The optimal cutoff values that maximized the prognostic prediction ability were PNI values of 47.75 g/L and 50.40 g/L for 1-year death and 1-year recurrence, respectively, and an NRS 2002 score of 3 points for 30-day readmission following discharge.

CONCLUSION

For ovarian cancer patients, the PNI is better at predicting 1-year death and 30-day readmission after discharge, and the NRS 2002 is superior for predicting 1-year recurrence.

Impact of prognostic nutritional index on survival in recurrent glioblastoma

BACKGROUND

Primary brain tumors are relatively rare malignancy, with high-grade gliomas (glioblastoma multiforme and anaplastic gliomas) are the most common types. We aimed to evaluate the prognostic value of Prognostic Nutritional Index (PNI), which is calculated by lymphocyte count and albumin, in recurrent glioblastoma patients treated with systemic treatment.

METHODS

Data of 64 patients with recurrent glioblastoma who received systemic treatment and followed in our clinic between 2012 and 2018 was retrospectively collected and analyzed. PNI was calculated as: [(10×serum albumin (g/dL))+(0.005×total lymphocyte count)]. Patients were categorized according to the median PNI value. We investigated the prognostic role of PNI groups, and survival outcomes.

RESULTS

Median value of PNI was 45.7, and median follow-up duration was 9 months (1-68 months). Median overall survival (OS) was 7.9 months (95%CI: 5.5-10.4). Median OS was significantly longer in patients with PNI>45.7 compared to patients with PNI≤45.7 (13.9 months (95%CI: 10.5-17.4), and 4.6 months (95%CI: 2.5-6.8), p<0.001, respectively). In multivariate analysis, PNI was found to be an independent prognostic factor for OS [HR:0.41 (95%CI:0.22-0.74), p=0.03)].

CONCLUSION

In our study, the PNI was found to be an independent prognostic biomarker in patients with recurrent glioblastoma, but further prospective trials are necessary to validate its prognostic role.

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.

Preoperative Prognostic Nutritional Index is a significant predictive factor for posthepatectomy bile leakage

Backgrounds/Aims

It is known that preoperative nutritional status can influence patient outcomes after hepatectomy. Prognostic Nutritional Index (PNI) is a useful parameter to reflect patient outcomes undergoing gastro-intestinal surgery. The aim of this study was to retrospectively evaluate relationships of nutritional parameters, demographics, and surgical records with postoperative outcomes in a cohort study.

Methods

Curative hepatectomy was performed for 182 patients at the University of Miyazaki between 2015 and 2018. Each preoperative level of albumin, prealbumin, lymphocyte, total cholesterol, or the comprehensively calculated Onodera's PNI was examined as a nutritional parameter.

Results

The mean PNI was 39.6 ± 5.1, with PNI below 40 observed in 91 (50.0%) patients. Nutritional parameters were not different among patients with various liver diseases. Serum albumin or prealbumin level was significantly correlated with each hepatic parameter (p < 0.01). Prealbumin and total cholesterol levels were significantly correlated with postoperative prothrombin activity (p < 0.05). Albumin or prealbumin levels and PNI were significantly lower in patients with posthepatectomy complications, particularly bile leakage in comparison those without such complications (p < 0.05). Multiple logistic analysis showed that albumin level was an independent risk factor for complications after hepatectomy (risk ratio [RR]: 1.33) and that lymphocyte count was an independent risk factor for bile leakage (RR: 1.28) (p < 0.05). The cut-off level of albumin was approximately 3.8 mg/dL and that of lymphocyte count was 1,320/mm³.

Conclusions

Preoperative PNI reflected perioperative liver functional status. It was a predictive parameter for postoperative complications, particularly biliary leakage.

The Prognostic Nutritional Index (PNI) is an independent predictor of overall survival in older patients with follicular lymphoma

The Prognostic Nutritional Index (PNI), a parameter combining serum albumin concentration and absolute lymphocyte count, is considered a measure of the nutritional and inflammatory status and the host's anti-tumor response. We analyzed the clinical characteristics and outcomes according to the PNI of 351 grades 1-3 A FL patients. Forty-one patients (12%) had a PNI ≤45, who were older and showed adverse baseline features. A low PNI was associated with a shorter PFS (only for patients >60 years), and OS (for all patients, 10-year OS, 52% versus 74%, p = 0.0001). The prognostic impact of the PNI on OS was confirmed in a multivariate model for patients >60 years (HR = 3, p = 0.006). In conclusion, the PNI is a readily accessible piece of information that can identify a small subset of FL patients with shorter survival, and it could be an aid to improve the nutritional status of patients prior to treatment initiation.

Impact of prognostic nutritional index on survival in recurrent glioblastoma

BACKGROUND

Primary brain tumors are relatively rare malignancy, with high-grade gliomas (glioblastoma multiforme and anaplastic gliomas) are the most common types. We aimed to evaluate the prognostic value of Prognostic Nutritional Index (PNI), which is calculated by lymphocyte count and albumin, in recurrent glioblastoma patients treated with systemic treatment.

METHODS

Data of 64 patients with recurrent glioblastoma who received systemic treatment and followed in our clinic between 2012 and 2018 was retrospectively collected and analyzed. PNI was calculated as: [(10×serum albumin (g/dL))+(0.005×total lymphocyte count)]. Patients were categorized according to the median PNI value. We investigated the prognostic role of PNI groups, and survival outcomes.

RESULTS

Median value of PNI was 45.7, and median follow-up duration was 9 months (1-68 months). Median overall survival (OS) was 7.9 months (95%CI: 5.5-10.4). Median OS was significantly longer in patients with PNI>45.7 compared to patients with PNI≤45.7 (13.9 months (95%CI: 10.5-17.4), and 4.6 months (95%CI: 2.5-6.8), p<0.001, respectively). In multivariate analysis, PNI was found to be an independent prognostic factor for OS [HR:0.41 (95%CI:0.22-0.74), p=0.03)].

CONCLUSION

In our study, the PNI was found to be an independent prognostic biomarker in patients with recurrent glioblastoma, but further prospective trials are necessary to validate its prognostic role.

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

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

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

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

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

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Which Nutritional Scoring System Is More Suitable for Evaluating the Short- or Long-Term Prognosis of Patients with Gastric Cancer Who Underwent Radical Gastrectomy?

OBJECTIVE

To evaluate the effects of three nutritional scoring systems: Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT), and Naples Prognostic Score (NPS) on the short- or long-term prognosis of gastric cancer (GC) patients who underwent radical gastrectomy.

METHODS

The clinicopathological data of 2182 patients who underwent radical gastrectomy at the Fujian Medical University Union Hospital (FMUUH) from 2009 to 2014 were retrospectively analyzed. The effects of the PNI, CONUT, and NPS on the short- or long-term prognosis of GC patients were analyzed.

RESULTS

Overall, 359 (16.5%) patients had postoperative complications. There was no significant association between the PNI, CONUT, and NPS and postoperative complications (P > 0.05); however, high CONUT and NPS were significantly associated with severe postoperative complications (P < 0.05). Univariate analysis showed that PNI, CONUT, and NPS were all associated with overall survival (OS) (P < 0.001). However, multivariate analysis showed that only PNI was an independent risk factor for OS (P = 0.004), and the 5-year OS rate in the low PNI group was significantly lower than that in the normal PNI group (55.5% vs 75.4%, P < 0.05). The area under the curve (AUC) and the c-index of PNI were significantly higher than those of CONUT and NPS. The prognostic efficiency of combining PNI and TNM stage was also significantly better than that of TNM staging alone (P < 0.05).

CONCLUSION

The current study demonstrated that CONUT and NPS are important for assessing the risk of severe postoperative complications. However, PNI is an independent risk factor for the long-term prognosis of GC patients who underwent radical gastrectomy and can improve the prognostic efficiency of TNM staging.

Controlling Nutritional Status score is superior to Prognostic Nutritional Index score in predicting survival and complications in pancreatic ductal adenocarcinoma: a Chinese propensity score matching study

Preoperative nutritional status plays an important role in predicting postoperative outcomes. Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) are good tools to assess patients' nutritional status. They have been used in predicting outcomes in various malignancies, but few studies have focused on pancreatic adenocarcinoma (PDAC) patients. Totally, 306 PDAC patients were enrolled. The propensity score matching (PSM) method was introduced to eliminate the baseline inequivalence. Patients with different PNI (or CONUT) scores showed inequivalence baseline characteristics, and patients with compromised nutritional status were related with a more advanced tumour stage. After PSM, the baseline characteristics were well balanced. Both low PNI (≤45) and high CONUT (≥3) were independent risk factors for poor overall survival (P < 0·05), and the result remained the same after PSM. Survival analysis demonstrated both patients with low PNI and high CONUT score were associated with poorer survival, and the result remained the same after PSM. The results of AUC indicated that CONUT might have a higher sensitivity and specificity in predicting complications and survival. Preoperative low PNI (≤45) and high CONUT (≥3) scores might be reliable predictors of prognosis and surgical complications in PDAC patients. Compared with PNI, CONUT might be more effective.

Impact of Age on Inflammation-Based Scores among Patients Diagnosed with Stage III Non-Small Cell Lung Cancer

BACKGROUND

Inflammatory and nutritional indexes are prognostic factors in non-small cell lung cancer (NSCLC). Furthermore, a low grade of chronic inflammation has been described in the older population (inflammaging). We aimed to evaluate the neutrophil-to-lymphocyte ratio (NLR), the Prognostic Nutritional Index (PNI), the advanced lung cancer inflammation index (ALI), the platelet-to-lymphocyte ratio (PLR), and the Glasgow Prognostic Score (GPS) in young and older patients diagnosed with locally advanced NSCLC to determine if significant differences between these groups exist.

METHODS

We conducted a retrospective study analyzing the impact of age on the NLR, PNI, ALI, PLR, and GPS among patients diagnosed with stage III NSCLC at Hospital Universitario Doctor Peset between 2010 and 2015.

RESULTS

We included 124 patients (84 young, 40 older patients). The median hemoglobin level and leukocyte count were lower in the older patients (p = 0.0158 and p = 0.001, respectively). A higher median C-reactive protein level was also found in this group (p = 0.0095). Regarding specific inflammatory indexes, the PNI, comprising inflammatory and nutritional parameters, was lower among the older patients (p = 0.0463). The median NLR, ALI, and PLR were similar in both age groups. Moreover, no differences between the age groups were found in the percentage of patients showing high versus low NLR (cutoff point, 5) or ALI (cutoff point, 18) or in the different GPS groups.

CONCLUSIONS

The baseline PNI, hemoglobin level, and lymphocyte count were lower among the older patients; furthermore, CRP was higher, possibly, because of a more prominent inflammatory status in older patients with lung cancer. No other immunological or nutritional analytical variables were different between the age groups.

Comparison of the predictive value among inflammation-based scoring systems for bleomycin pulmonary toxicity in patients with germ cell tumors

OBJECTIVE

To compare the predictive value of pretreatment inflammation-based scoring systems in patients with germ cell tumors receiving first-line bleomycin-based chemotherapy.

METHODS

Retrospectively, we evaluated 57 patients with germ cell tumors. Bleomycin pulmonary toxicity was defined as the presence of asymptomatic decline in pulmonary function tests, pulmonary symptoms or interstitial pneumonia on computed tomography in the absence of infection. The neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic immune-inflammation index, albumin-to-globulin ratio, Prognostic Nutritional Index, Glasgow Prognostic Score and C-reactive protein were measured in all patients. To assess the predictive ability of each scoring system, the area under the receiver operating characteristic curve was calculated, and multivariate analysis was carried out to identify the predictive scores associated with bleomycin pulmonary toxicity.

RESULTS

Of the 57 patients, 15 patients developed bleomycin pulmonary toxicity. The neutrophil-to-lymphocyte ratio had the highest area under the curve value (0.763) of all inflammation-based scoring systems, followed by the Prognostic Nutritional Index (0.749). In multivariate analysis, the neutrophil-to-lymphocyte ratio (odds ratio 11.5; P = 0.009) and Prognostic Nutritional Index (odds ratio 9.07; P = 0.013) were independently associated with development of bleomycin pulmonary toxicity. As these two independent markers were combined, the area under the curve achieved the highest value (0.822).

CONCLUSIONS

The present study shows that the neutrophil-to-lymphocyte ratio and Prognostic Nutritional Index are independent risk factors for development of bleomycin pulmonary toxicity. The combination of the neutrophil-to-lymphocyte ratio and Prognostic Nutritional Index seems to have superior predictive value compared with other inflammation-based scoring systems.

Prognostic Nutritional Index predicts morbidity after curative surgery for colorectal cancer

INTRODUCTION

Colorectal cancer (CRC) is a major health concern and it is associated with significant morbidity and mortality. Over the last decades, the relationship between cancer and nutritional and inflammatory status in oncologic patients was studied thoroughly and multiple immunonutritional scores were developed. These scores have been mainly related to the prognosis of several cancers. An interaction between the tumour and the host is generated, triggering a systemic inflammatory reaction leading to several neuroendocrine changes. This situation favours a tendency towards anorexia and catabolism. Our hypothesis is that nutritional and inflammatory status of oncologic patients is correlated to postoperative morbidity.

METHODS

This is a prospective observational cohort study with those patients undergoing curative surgery for CRC at our institution between September 2015 and March 2017. Nutritional and inflammatory status was established using Onodera's Prognostic Nutritional Index (PNI). Complications (overall, severe, infectious and anastomotic leakage) were carefully collected during the first 30 days of the postoperative period.

RESULTS

After carrying out the multivariate analysis, PNI turned out to be a great predictive and protective factor for overall complications (RR: 0.279; 95% CI: 0.141-0.552), severe complications (RR: 0.355; 95% CI: 0.130-0.965), infectious complications (RR: 0.220; 95% CI: 0.099-0.489) and anastomotic leakage (RR: 0.151; 95% CI: 0.036-0.640).

CONCLUSION

Our work reports that PNI is an independent predictive factor for the development of postoperative complications following curative surgery for CRC.

The value of the Prognostic Nutritional Index (PNI) in predicting outcomes and guiding the treatment strategy of nasopharyngeal carcinoma (NPC) patients receiving intensity-modulated radiotherapy (IMRT) with or without chemotherapy

PURPOSE

The purpose of this study was to investigate the significance of the Prognostic Nutritional Index (PNI) in predicting prognoses and guiding treatment choices of nasopharyngeal carcinoma (NPC) patients receiving intensity-modulated radiotherapy (IMRT).

METHODS

The 539 patients with newly diagnosed non-metastatic NPC were retrospectively analysed. The PNI was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm³). All patients were split randomly into a training set and a testing set. Receiver operating characteristic (ROC) curves were used to identify the cut-off value of PNI and test its prognostic validity. Survival curves were calculated by Kaplan-Meier method, and differences were compared with log-rank test.

RESULTS

The median follow-up time was 109.5 months. The 5-year locoregional recurrence-free survival (LRRFS), distant metastasis-free survival (DMFS), disease-specific survival (DSS) and overall survival (OS) of the whole cohort were 90.6, 85.8, 85.3 and 82.7%, respectively. The PNI cut-off value was 52.0 in the training set, which was significant in predicting DMFS, DSS and OS in the testing set. According to the PNI cut-off value, 220 patients of II-IVb stage treated by concurrent chemoradiotherapy (CCRT) were classified into PNI ≤ 52.0 and >52.0 groups and the 5-year LRRFS, DMFS, DSS, and OS of PNI ≤ 52.0 group were significantly worse than the PNI > 52.0 group.

CONCLUSION

Our results suggest that the PNI is a reliable independent prognostic factor in NPC patients treated with IMRT. For stage II-IVb patients with PNI ≤ 52.0, CCRT alone does not achieve satisfactory outcomes, and further studies on treatment optimization are needed.

Prognostic Nutritional Index Predicts Short-Term Postoperative Outcomes After Bowel Resection for Crohn's Disease

BACKGROUND

Bowel resection is required in the majority of patients with Crohn's disease (CD) during their lifetime. The Prognostic Nutritional Index (PNI) is a useful tool for predicting postoperative outcomes in patients undergoing cancer surgery. We examined the ability of the PNI to predict short-term outcomes in patients with CD-related bowel resection.

MATERIALS AND METHODS

Seventy-three patients who underwent bowel resection for CD were retrospectively enrolled in the study. The PNI was calculated as follows: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mL). Patients were divided into 2 groups: PNI <40 (n = 30) and PNI ≥40 (n = 43).

RESULTS

A significant difference was found in body mass index (17.9 ± 2.4 vs 19.2 ± 2.2, P = .018) between the 2 groups. Postoperative overall and infectious complications occurred more frequently in patients with PNI <40 than in those with PNI ≥40 (50.0% and 46.7% vs 23.3% and 16.3%, P = .018 and P = .005, respectively). In the univariate analysis, body mass index <18.5, penetrating behavior, open surgery, and PNI <40 were associated with an increased risk of overall complications and infectious complications. In the multivariate analysis, only PNI <40 was an independent prognostic factor for infectious complications (odds ratio: 3.846, 95% confidence interval: 1.145-12.821).

CONCLUSIONS

Preoperative PNI is a useful predictor of postoperative infectious complications in patients with CD-related bowel resection.

Glasgow Prognostic Score as a Prognostic Clinical Marker in T4 Esophageal Squamous Cell Carcinoma

Patients with clinical T4 esophageal squamous cell carcinoma (ESCC) have an unfavorable prognosis, mainly indicated by the response to chemoradiotherapy (CRT), crucial to estimating long-term survival. Other prognostic measures include systemic inflammatory or immunonutritional indices such as the Glasgow Prognostic Score (GPS) and Prognostic Nutritional Index (PNI) that have not been sufficiently documented.

PATIENTS AND METHODS

This study retrospectively evaluated 91 patients with T4 ESCC treated at our Hospital between 2000 and 2013. All patients initially received CRT, including 5-fluorouracil (5FU) and cisplatin or nedaplatin with concurrent 2-Gy/fraction radiation (total dose, 40-60 Gy). Curative tumor resection was undertaken in suitable patients on completing CRT. Patients were classified as GPS0, GPS1, or GPS2 based on C-reactive protein (CRP) ≤ 10 mg/l and albumin ≥ 35 g/l, CRP >10 mg/l or albumin <35 g/l, or CRP >10 mg/l and albumin <35 g/l, respectively. PNI was calculated as 10-times the serum albumin (g/dl)+0.005 × total lymphocyte count (/mm(3)). The impact of the pre-treatment GPS and PNI on the prognosis of patients with T4 ESCC was investigated in univariate and multivariate analyses.

RESULTS

Sixty (67%) patients responded to CRT (9 complete responses and 51 partial responses). Forty-one (45%) patients also underwent surgical resection of the residual tumor. The overall 5-year survival rate and median survival time were 27.0% and 11.8 months, respectively. In the cohort of CRT-plus-surgical resection, the 5-year survival rate was significantly higher than in the groups treated with CRT-alone (51.1% vs. 6.5%; p < 0.01). On multivariate analysis, good response to CRT [hazard ratio (HR) =0.449, p<0.01], GPS1/2 (HR=2.151, p=0.015), and surgical resection (HR=0.282, p<0.01) were significant prognostic factors, whereas PNI was not.

CONCLUSION

The GPS is a useful, simple survival marker for patients with T4 ESCC undergoing multimodal therapy.