Usefulness Of Prognostic Nutritional Index Research Articles

Malnutrition is associated with severe outcome in elderly patients hospitalised with COVID-19

Some studies have identified influencing factors of COVID-19 illness in elderly, such as underlying diseases, but research on the effect of nutritional status is still lacking. This study retrospectively examined the influence of nutritional status on the outcome of elderly COVID-19 inpatients. A retrospective analysis of the clinical data of 4241 COVID-19 patients who were admitted to a third-class hospital of Nanchang between November 1, 2022 and January 31, 2023 was conducted. Nutritional status was assessed using the prognostic nutritional index (PNI) and controlling nutritional status score (CONUT). The influence of nutritional status on the outcome of COVID-19 patients was determined through multivariate adjustment analysis, restrictive cubic spline, and receiver operating characteristic curve (ROC). Compared with mild/no malnutrition, severe malnutrition substantially increased the critical outcome of COVID-19. A linear relationship was observed between the odds ratio (OR) and PNI and CONUT (P > 0.05). The area under the ROC curve indicated that PNI was the better predictor. The optimal cutoff value of PNI was 38.04 (95%CI: 0.797 ~ 0.836, AUC = 0.817), with a sensitivity of 70.7% and a specificity of 79.6%. The critical illness of elderly COVID-19 patients shows a linear relationship with malnutrition at admission. The use of PNI to assess the prognosis of COVID-19 eldeely patients is reliable, highlighting the importance for doctors to closely pay attention to the nutritional status of COVID-19 patients. Focusing on nutritional status in clinical practice can effectively reduce the critical illness of elderly COVID-19 patients.

Usefulness of Preoperative Prognostic Nutritional Index in Secondary Spontaneous Pneumothorax

BackgroundThe prognostic nutritional index has been identified as a predictor of postoperative outcomes in various fields. We investigated the usefulness of the prognostic nutritional index as a risk factor for postoperative complications in secondary spontaneous pneumothorax. MethodsIn this retrospective study, patients who underwent surgery for secondary spontaneous pneumothorax were reviewed. The associations among the prognostic nutritional index, body mass index, and performance status were examined, and risk factors for postoperative complications were investigated in a multivariate analysis. In the subgroup analysis, on the basis of the receiver operating characteristics, we divided patients into high– and low–prognostic nutritional index groups and investigated the utility of the prognostic nutritional index for postoperative complications. ResultsOf 91 patients who underwent surgery for secondary spontaneous pneumothorax, 34 patients with postoperative complications were included. The prognostic nutritional index was significantly positively and negatively correlated with body mass index (P < .001) and performance status (P < .001), respectively. Multivariate analysis revealed that a decreased prognostic nutritional index was an independent risk factor for postoperative complications (P = .0048). In the subgroup analysis, the postoperative outcomes, including the duration of chest tube placement (P = .042), hospital stay (P = .0014), complications (P = .0089), and mortality (P = .044), were significantly worse in the low– than in the high–prognostic nutritional index group. ConclusionsThe prognostic nutritional index may be useful for evaluating the severity of secondary spontaneous pneumothorax in preoperative patients and may be a risk for postoperative complications.

Prognostic Nutritional Index as a Predictor of Prognosis in Postoperative Patients With Gastric Cancer.

The prognostic nutritional index (PNI) has been reported as an immunonutritional index that can easily evaluate nutritional status and immunocompetence from blood tests. The purpose of this study was to investigate the usefulness of PNI as a prognostic factor in postoperative gastric cancer patients. In this retrospective cohort study, we evaluated 258 patients with pStage I-III gastric cancer who underwent radical resection at Yokohama City University Hospital, from 2015 to 2021. To examine the association with prognosis, we analyzed clinicopathological factors including PNI (<47/≥47), age (<75/≥75), sex (male/female), depth (pT1/≥pT2), lymph node metastasis (pN+/pN-), lymphatic invasion (ly+/ly-), vascular invasion (v+/v-), histological type (enteric/spread) and postoperative complications. In univariate analysis, PNI (p<0.001), depth of tumor invasion (p<0.001), lymph node involvement (p<0.001), age (p=0.002), lymphatic invasion (p<0.001), vascular invasion (p<0.001), and postoperative complications (p=0.003) were associated with overall survival. In multivariate analysis, PNI (HR=2.100, 95% confidence interval 1.225-3.601, p=0.007), tumor invasion, lymph node metastasis, and postoperative complications were shown as poor prognostic factors for overall survival. PNI is an independent prognostic factor for overall and recurrence-free survival in postoperative gastric cancer patients. PNI could be implemented in clinical practice to identify patients at higher risk for poor outcomes.

The use of prognostic nutritional index (PNI) and selected inflammatory indicators for predicting malnutrition in COVID-19 patients: A retrospective study

BackgroundMalnutrition causes diverse alterations in the immune system, and COVID-19 is an infection affecting the immune system, consequently leading to malnutrition. AimsThis study aimed to investigate the use of prognostic nutritional index (PNI) and selected inflammatory indices for malnutrition screening among COVID-19 hospitalized patients. Material and methodologyThis is a single-center retrospective study that enrolled 289 hospitalized COVID-19 patients between 1st January to 30th April 2021, their median age was 59 years. Demographic and biochemical data were collected from patients’ records. The PNI, platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and an early warning score to predict mortality risk (ANDC) were calculated. Univariate and multivariate logistic regression analyses were performed. A P-value of < 0.05 was considered statistically significant. Resultsabout 30 % of patients were admitted to the intensive care unit (ICU), and ICU patients had significantly higher levels of white blood cell (WBCs) count, neutrophils, C-reactive protein (C-RP), and D-dimer (P < 0.05). On the other hand, they had significantly lower levels of lymphocytes and serum albumin (P < 0.001; for both). Those with high ANDC scores were more likely to develop severe conditions affecting nutritional status compared to non-ICU (OR = 1.04, 95 % CI:1.014–1.057; P < 0.001). ANDC showed good discrimination ability with an AUC of 0.784 (cut-off value > 68.19 score). ConclusionIt is suggested that ANDC could be used as a predictor for nutritional status and severity in COVID-19 hospitalized patients.

The Role of Prognostic Nutrition Index in Predicting Hospitalization of Patients With Heart Failure With Mildly Reduced Ejection Fraction.

Background The prognostic nutritional index (PNI), consisting of albumin and lymphocyte counts, has been associated with satisfactory predictive values ​​for in-hospital mortality or clinical follow-up outcomes in acute situations. In this study, we aimed to evaluate the use of PNI for the prediction of hospital admission in individuals withmildly reduced ejection fraction heart failure (HFmrEF). Methodology This retrospective study was conducted between January 2019 and May 2022 and included 200 patients with HFmrEF detected by transthoracic echocardiography.Data from hospitalized patients (group 1) and outpatients (group 2) were compared. Results In the multivariable regression analysis, brain natriuretic peptide (odds ratio (OR) = 1.001; 95% confidence interval (CI) = 1.000-1.001, p = 0.001) and PNI (OR = 0.783; 95% CI = 0.720-0.853; p < 0.001) were independent predictors of hospital admission in patients with HFmrEF. The PNI value was statistically significantly higher in group 2 (52.36 ± 5.36) than in group 1 (38.3 ± 8.63, p < 0.001). The PNI value <46.75 is a predictor of hospitalization in patients with HFmrEF, with 86% sensitivity and 88% specificity. Conclusions Lower PNI levels predict hospital admission in HFmrEF patients. This measure, which can be easily evaluated in daily cardiological practice, allows for quick and precise decisions for hospitalization.

Prognostic nutritional index as outcome predictor in patients with iliopsoas abscess.

Cases with iliopsoas abscess (IPA) in a single hospital-based cases were reviewed and compared with clinical profiles of published hospital-based IPA series. To verify usefulness of prognostic nutritional index (PNI) used to predict outcome and severity of IPA, this study was performed. This study consists of 2 parts: Study 1 - Case review of IPA series in a single hospital: 7 cases with IPA treated in a single hospital in sequential 5 years were collected (series 1) and their clinical profiles compared. Study 2 - Review of hospital-based literature: A search of the PubMed database from 1990 to the present was performed, using the Boolean expression ([Psoas OR iliopsoas] AND [abscess] AND [hospital-based]). Two hospital-based case series were collected. The clinical profiles of 2 series were compared with series 1 to draw predictive factors of outcome and deciding treatment modality, medical or surgical. Study 1 - Analyzing 7 IPA cases, average age was 76.7 years old (varying from 64 to 91) and the lifesaving rate was 86%. PNI < 45, calculated with serum albumin (Alb) and total lymphocyte count, and larger cumulative abscess volume (CAV) measured by computed tomography seem outcome predictors. Study 2 - Analyzing 2 hospital-based IPA series (series 2 and 3), series 2 reviewed isolated IPA cases without any comorbidities and series 3 reviewed IPA cases with cardiovascular disorders. Among 3 series including ours, series 1 showed oldest case and longer length of hospitalization. Series 3 showed the highest mortality among 3 because it collected IPA with cardiovascular comorbidities. PNI seems predictors of outcome and disease activity in patients with IPA and might indicate treated with surgical intervention.

Prognostic Nutritional Index as a Predictor of Prognosis in Patients with Chronic Limb Threatening Ischemia Who Underwent Endovascular Revascularization Therapy

BACKGROUND/INTRODUCTION: Patients with chronic limb-threatening ischemia (CLTI) have poor prognosis. Prognostic nutritional index (PNI) is an established independent predictor of adverse outcome in various chronic illnesses. The use of PNI in patients with CLTI has not been studied.

The Usefulness of Prognostic Nutritional Index in Predicting Infection in Patients with Newly Diagnosed Pancreatic Cancer

Branka Roganović1,2, Nebojša Manojlović1,2*, Saša Perić1, Sanja Tripković1 and Ana Roganović Sarić3 Author Affiliations 1Faculty of Medicine of the Military Medical Academy, University of Defence, Serbia 2Clinic for Gastroenterology and Hepatology, Military Medical Academy, Serbia 3Clinic for Neurosurgery, Military Medical Academy, Serbia Received: February 17, 2021 | Published: March 01, 2021 Corresponding author: Nebojsa Manojlovic, Faculty of Medicine of the Military Medical Academy, University of Defence, Clinic for Gastroenterology and Hepatology, Military Medical Academy, Crnotravska 17,11000 Belgrade, Serbia DOI: 10.26717/BJSTR.2021.34.005524

A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy.

PurposePrognostic nutritional index (PNI) is an effective tool to evaluate the nutritional conditions and predict prognosis, but clinical data are limited for the use of PNI in diabetic retinopathy (DR). This study aimed to investigate the relationship of PNI with the prevalence and severity of DR in patients with type 2 diabetes mellitus (T2DM).Patients and MethodsThis cross-sectional analysis enrolled 1023 individuals with T2DM hospitalized between 2017–2020. PNI was calculated as 10 × serum albumin (g/l) + 0.005 × total lymphocyte count (cells/mL). DR severity was categorized as no, nonproliferative, and vision-threatened DR (VTDR) according to the modified Airlie House classification. Multivariate-adjusted odds ratio (OR) with 95% confidence interval (CI) for the prevalent DR in the top (Q4) compared with the bottom quartile (Q1) of PNI levels were estimated by using logistic regression analyses.ResultsPNI levels were significantly lower in individuals with VTDR than those with no and nonproliferative DR (both P < 0.001), and the proportions of individuals with DR were significantly decreased in the top quartile compared with the bottom quartile of PNI levels (P < 0.001). After adjustments for age, gender, DM duration, obesity-related risk factors and clinical biochemical parameters, the higher levels of PNI were significantly associated with a lower prevalence of DR (Q4 vs Q1: OR = 0.402, 95% CI: 0.250–0.649, P < 0.001), with a 5.9% reduction in the prevalence of DR for a per-unit increment in the levels of PNI (OR = 0.941, 95% CI: 0.911–0.972, P < 0.001). The association of PNI and obesity-related indexes (body mass index and waist circumference) with the severity of DR was independent of each other (P<0.001).ConclusionPNI was inversely and independently associated with the severity and prevalence of DR, which suggested that PNI could likely be used to predict DR prognosis in clinical practice.

Use of prognostic nutritional index in the evaluation of disease activity in patients with Behçet's disease.

Behçet's disease (BD) is a chronic, multisystem disorder that can cause severe morbidity and mortality. Monitoring tools that measure disease activity are required for effective management of BD. We aimed to investigate the association of prognostic nutritional index (PNI) with disease activity in BD. In this cross-sectional study, we enrolled 88 adult patients with BD and 51 healthy controls. The patients were divided into patients with active and inactive BD according to their disease activities. PNI was calculated using the following formula: 10×serum albumin (g/dL)+0.005×peripheral lymphocyte count (per mm3). To evaluate BD activity, the Behçet Disease Current Activity Form was used. The relations of BD activity with PNI, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, erythrocyte sedimentation rate, and C-reactive protein were investigated. A receiver operator characteristic curve analysis was used to define the optimum cutoff value of PNI for active BD. A total of 48 patients were classified as having active BD and 40 as having inactive BD. Patients with active BD had lower mean PNI than patients with inactive BD and healthy controls (51.8±4.2, 57.4±2.9, and 56.6±3.6, respectively; p<0.001). In multivariate analysis, PNI was the only independent predictor of BD activity (odds ratio, -0.687; 95% confidence interval 0.548-0.861; p=0.001). The optimum cutoff of PNI for active BD was 55.35 with 79.2% sensitivity and 77.75% specificity. PNI was significantly associated with BD activity. PNI may be a useful tool for the assessment of disease activity in BD.

Prognostic nutritional index in elderly patients hospitalized for acute heart failure.

AimsAcute heart failure (AHF) represents a frequent cause of hospitalization and is associated with significant mortality among elderly patients. Risk assessment models like the prognostic nutritional index (PNI) have been proposed to stratify the risk of death and identify patients requiring more intensive levels of care. We evaluated the predictive value of PNI for in‐hospital and overall mortality in a cohort of consecutive elderly patients hospitalized for AHF.Methods and resultsPrognostic nutritional index, laboratory, and clinical parameters were collected upon admission. PNI values were calculated from albumin concentration and lymphocyte count and reported on a continuous scale with lower values indicating worse prognosis. The primary outcome was overall all‐cause mortality defined as death from any cause occurring during hospitalization up to 6 months after discharge. Cox proportional regression analysis was used to calculate hazard ratios (HRs) and the relative 95% confidence intervals (CIs). The study population included 344 patients (median age 84 years, range 65 to 101). During a median follow‐up of 158 days (range 2 to 180 days), 75 patients (21.8%) died of whom 28 (8.1%) died during hospitalization. The median PNI was 34 (range 17 to 55). In univariable analysis, PNI was inversely associated with overall mortality (HR 0.90; 95% CI, 0.87 to 0.94) and in‐hospital mortality (HR 0.91; 95% CI, 0.85 to 0.98). In multivariable analysis, PNI remained a significant predictor of overall mortality (HR 0.93; 95% CI, 0.89 to 0.98) after adjustment for age, anaemia, NT‐proBNP values, and bedridden status. PNI values ≤34 were associated with a two‐fold higher risk of overall mortality (HR 2.54; 95% CI, 1.52 to 4.24) and three‐fold higher risk of in‐hospital mortality (HR 3.37; 95% CI, 1.14 to 9.95).ConclusionsLow PNI values are associated with short‐term and long‐term mortality among elderly patients hospitalized for acute decompensated heart failure. Future studies are warranted to confirm these findings and evaluate the use of PNI to guide therapeutic decisions.

Impact of prognostic nutritional index on outcomes in patients with Mycobacterium avium complex pulmonary disease.

Onodera's prognostic nutritional index (PNI) is useful in predicting prognosis of various diseases. But the usefulness of PNI in non-surgical patients has not been sufficiently proven yet. In patients with mycobacterium avium complex pulmonary disease (MAC-PD), malnutrition is an important factor that affects the quality of life and morbidity. Here, we aimed to evaluate whether PNI is related with clinical outcomes in MAC-PD patients. We examined 663 patients diagnosed with MAC-PD between May 2005 and November 2017. PNI score was calculated at the time of diagnosis and treatment initiation, and patients were divided into malnutrition and non-malnutrition groups according to a cut-off PNI score of 45. As the recommended duration of treatment for MAC-PD is 12 months following sputum conversion, treatment duration less than 12 months was defined as treatment intolerance. Survivals were compared with the log-rank test. Multivariate logistic regression and multivariate Cox proportional hazards models were used to estimate the odds ratio (OR) and hazards ratio (HR) for treatment intolerance and mortality, respectively. Of the 306 patients that received treatment, 193 received treatment longer than 12 months. In the multivariable logistic regression model, malnutrition at the time of treatment initiation was related with treatment intolerance (OR: 2.559, 95% confidence interval [CI]: 1.414-4.634, P = 0.002). Patients in the malnutrition group at the time of diagnosis exhibited lower survival (P<0.001) and malnutrition at the time of diagnosis was a significant risk for all-cause mortality (HR: 2.755, 95% CI: 1.610-4.475, P<0.001). Malnutrition, as defined by PNI, is an independent predictor for treatment intolerance and all-cause mortality in patients with MAC-PD.

Role of pretreatment inflammatory indicators in pediatric acute leukemias; where do we stand? A prospective cohort study.

There is a limited data at the moment regarding the clinical value of inflammatory indices and malnutrition markers in children with acute leukemias. We have examined the usefulness of prognostic nutritional index (PNI), Glasgow prognostic score (GPS), Prognostic Index (PI), monocyte to lymphocyte (MLR), neutrophil to lymphocyte (NLR), and platelet to lymphocyte (PLR) ratios to stratify patients as regards the response to induction therapy correlating them to different prognostic factors. Children with acute leukemia and without microbial-induced inflammation at the time of diagnosis were prospectively recruited. Preliminary total and differential CBC, c-reactive protein (CRP), serum albumin (ALB) were used to calculate different inflammatory indicators including NLR, MLR, PLR, PNI, GPS, and PI. Higher PNI was significantly more associated to children who achieved remission as compared to those without remission (p< 0.0001). Patients without remission had GPS 1 or 2 compared to GPS 0 or 1 in those who entered remission (p= 0.001). NLR was significantly lower in patients in remission than in those without remission (p= 0.005). Similarly, complete remission was significantly associated to MLR ⩽ 0.45 as compared to MLR > 0.45 (p< 0.0001). Pretreatment PNI, GPS, CRP, serum albumin, NLR, MLR, and PLR are remission promising prognostic markers in pediatric acute leukemias, which deserve to be further investigated in large-scale studies.

Predictive Effects of Inflammatory Scores in Patients with BCLC 0-A Hepatocellular Carcinoma after Hepatectomy.

Background: Inflammatory markers are regarded as prognostic factors of the outcomes of hepatocellular carcinoma (HCC). Examples include the neutrophil-to-lymphocyte ratio (NLR); platelet to lymphocyte ratio (PLR); the albumin and lymphocyte counts used in the prognostic nutritional index (PNI); and the neutrophil, lymphocyte, and platelet counts used in the systemic immune-inflammation index (SII). This study evaluates the effects of PNI, NLR, PLR, and SII to predict recurrence and survival in patients with Barcelona Clinic Liver Cancer (BCLC) stages 0-A of HCC after hepatectomy. Methods: This retrospective study was conducted at Kaohsiung Chung-Gung Memorial Hospital, Taiwan. The study enrolled 891 patients (77.9% males; mean age 58.53 ± 11.60 years) with BCLC stage 0/A HCC undergoing hepatectomy between 2001 and 2016. PNI, NLR, PLR and SII were measured before hepatectomy. Results: High NLR (>1.8) was adversely associated with overall survival (p = 0.032). Low PNI (≤45) was adversely associated with overall survival and disease-free survival (p < 0.001). Low SII (≤45) also had an adverse association with overall survival (p = 0.008) and disease-free survival (p < 0.001). Diabetes mellitus, cirrhosis, microvascular invasion, low PNI (≤45), and low SII (≤160) were independently associated with poor overall survival in a multivariate analysis. HCV infection, diabetes mellitus, cirrhosis, microvascular invasion, low PNI, and low SII were independent prognostic factors of recurrent HCC. The combined use of PNI and SII provided improved prognostic information. Conclusions: Low PNI and low SII are significantly poor prognostic factors for overall survival and recurrence in patients with BCLC 0-A hepatocellular carcinoma after hepatectomy.

PROGNOSTIC NUTRITIONAL INDEX AS A PREDICTOR OF PROGNOSIS IN PATIENTS WITH CRITICAL LIMB ISCHEMIA WHO UNDERWENT ENDOVASCULAR REVASCULARIZATION THERAPY

Patients with critical limb ischemia (CLI) have poor prognosis. Prognostic nutritional index (PNI) is an established independent predictor of adverse outcome in various chronic illnesses. The use of PNI in patients with CLI has not been studied. To evaluate the impact of PNI on 12-month adverse