Abstract:To evaluate the nutritional status of children with chronic kidney disease (CKD) before dialysis via a series of indexes, and investigate the prognostic impact of nutritional status in these patients assessed by the Prognostic Nutritional Index (PNI).
Fifty-four children with CKD before dialysis were enrolled in this study. The nutritional status was evaluated by different indexes, including dietary intake, anthropometry data and biochemical parameters. Additionally, PNI is calculated as 10 × serum … Show more
“…After Onodera suggested the cutoff of PNI value as 45 13 , this is frequently used 17 , 38 . However, the researchers chose several cutoff levels according to study design, such as median, tertile, or ROC analysis 15 , 18 , 20 , 39 . In previous studies, the PNI cut-off value for defining undernutrition varied between 45 and 50.…”
Section: Discussionmentioning
confidence: 99%
“…The prognostic nutritional index (PNI), calculated from one’s serum albumin concentration and total lymphocyte count in the peripheral blood, was developed by Onodera 13 to determine the nutritional and inflammatory status of surgical patients. PNI is a simple indicator used not only in postoperative outcomes in patients but also in evaluating the nutritional status of patients with malignancies 14 , 15 , pulmonary 16 , 17 , heart 18 , 19 , and kidney diseases 20 . However, the prognostic value of PNI in CA-AKI and patient mortality after PCI have not yet been validated.…”
The risk of malnutrition in acute kidney injury and mortality in coronary artery disease patients has not been studied. This study aimed to evaluate whether nutritional status assessed by Onodera’s prognostic nutritional index (PNI) was related to percutaneous coronary intervention (PCI) outcomes. A total of 3731 patients who received PCI between January 2010 and December 2018 were included. The relationship between PNI at the time of PCI and the occurrence of contrast-associated acute kidney injury (AKI) and all-cause death was evaluated using logistic regression and Cox proportional hazards models, respectively. AKI occurred in 271 patients (7.3%). A low PNI was independently associated with an increased risk of AKI on multivariate logistic regression analysis (OR 0.96, 95% CI 0.94–0.98, P = 0.001). During the median follow-up of 4.3 years, Kaplan–Meier analysis showed that patients with AKI/low PNI < 47.8 had a higher death rate. After adjusting for various risk factors, a low PNI was a significant risk factor for mortality (HR 0.98, CI 0.96–0.99, P = 0.003). A low level of PNI was associated with increased mortality, especially in the group aged over 70 years and female sex. PNI was closely associated with acute kidney outcomes and patient mortality after PCI.
“…After Onodera suggested the cutoff of PNI value as 45 13 , this is frequently used 17 , 38 . However, the researchers chose several cutoff levels according to study design, such as median, tertile, or ROC analysis 15 , 18 , 20 , 39 . In previous studies, the PNI cut-off value for defining undernutrition varied between 45 and 50.…”
Section: Discussionmentioning
confidence: 99%
“…The prognostic nutritional index (PNI), calculated from one’s serum albumin concentration and total lymphocyte count in the peripheral blood, was developed by Onodera 13 to determine the nutritional and inflammatory status of surgical patients. PNI is a simple indicator used not only in postoperative outcomes in patients but also in evaluating the nutritional status of patients with malignancies 14 , 15 , pulmonary 16 , 17 , heart 18 , 19 , and kidney diseases 20 . However, the prognostic value of PNI in CA-AKI and patient mortality after PCI have not yet been validated.…”
The risk of malnutrition in acute kidney injury and mortality in coronary artery disease patients has not been studied. This study aimed to evaluate whether nutritional status assessed by Onodera’s prognostic nutritional index (PNI) was related to percutaneous coronary intervention (PCI) outcomes. A total of 3731 patients who received PCI between January 2010 and December 2018 were included. The relationship between PNI at the time of PCI and the occurrence of contrast-associated acute kidney injury (AKI) and all-cause death was evaluated using logistic regression and Cox proportional hazards models, respectively. AKI occurred in 271 patients (7.3%). A low PNI was independently associated with an increased risk of AKI on multivariate logistic regression analysis (OR 0.96, 95% CI 0.94–0.98, P = 0.001). During the median follow-up of 4.3 years, Kaplan–Meier analysis showed that patients with AKI/low PNI < 47.8 had a higher death rate. After adjusting for various risk factors, a low PNI was a significant risk factor for mortality (HR 0.98, CI 0.96–0.99, P = 0.003). A low level of PNI was associated with increased mortality, especially in the group aged over 70 years and female sex. PNI was closely associated with acute kidney outcomes and patient mortality after PCI.
“…PNI was initially developed to evaluate preoperative nutritional conditions and surgical complications in patients with gastrointestinal cancers [ 6 ]. Recently, it has been described as an accurate and independent prognostic predictor in human cancers [ 7 – 10 ], chronic kidney and heart disease [ 11 , 12 ], and autoimmune disease [ 13 , 14 ].…”
Background
Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is significantly associated with increased mortality. The current study aimed to investigate the predictive ability of the prognostic nutritional index (PNI) in 30-day mortality among AECOPD patients admitted to the ICU.
Material/Methods
Clinical data were extracted from the Medical Information Mart for Intensive Care-III (MIMIC-III) database. Patients were divided into 3 groups according to the tertiles of PNI. Cox proportional hazard regressions were performed to assess the association between PNI and 30-day mortality. Subgroup analyses were performed to identify the consistency of the association. Receiver operator characteristic (ROC) curve analysis was performed to evaluate the predictive accuracy among PNI, serum albumin, neutrophil-to-lymphocyte (NLR), and platelet-to-lymphocyte ratio (PLR).
Results
A total of 494 AECOPD patients were included in this study. The mean age was 70.8±10.4 years old. Kaplan-Meier analysis showed ongoing divergence in rates of mortality among tertiles (
p
<0.001). After adjusting for confounders, high PNI tertile was an independent favorable predictor of 30-day mortality (HR=0.39; 95% CI, 0.19–0.80;
p
=0.011) compared to low tertile reference. Subgroup analysis showed that the predictive ability of PNI was especially suitable for patients aged >70 years and with mechanical ventilation. The cut-off value of PNI was 31.8 with sensitivity 62.3% and specificity 64.1%. The area under the ROC of PNI (0.642, 95% CI, 0.560 to 0.717) was better than that of serum albumin, NLR, and PLR.
Conclusions
PNI could serve as a simple and reliable prognostic biomarker for AECOPD patients in the ICU.
“…Furthermore, patients in the CCU are often in a heightened proinflammatory state, which can significantly worsen nutritional status ( 34 ), and AKI is known to be associated with intrarenal and systemic inflammation ( 35 ). Consequently, PNI, combined serum albumin and total lymphocyte count, which represent nutritional status and chronic inflammation ( 36 , 37 ), may be indicated for risk stratification and clinical management for patients in the CCU. In the present study, it was demonstrated that PNI, which is clinically and easily available, was an independent predictor for the development of AKI and prognosis in patients in the CCU.…”
The current study aimed to investigate whether prognostic nutritional index (PNI) is an independent predictor of acute kidney injury (AKI) and mortality of patients in the coronary care unit (CCU). In the present two-stage observational study of patients in the CCU, 6,444 patients from the Medical Information Mart for Intensive Care (MIMIC) III database were first enrolled (test cohort), after which 412 patients from Zhongnan Hospital of Wuhan University were recruited in the validation cohort. AKI was defined based on the Kidney Disease Improving Global Outcomes AKI criteria. The primary endpoint was the incidence of AKI stratified by severity, while the second endpoint included in-hospital mortality and 2-year mortality. In the test cohort, 4,457 (69.2%) patients developed AKI during hospitalization. Following multivariable adjustment, the highest quartile of the PNI value was associated with a 1.8-fold increased risk of AKI compared with the lowest quartile. For the prediction of AKI, the area under the receiver operating characteristic curve outperformed the acute physiology score III score and clinical model in patients with or without preexisting chronic kidney disease, and this was further validated in the hospital cohort used in the present study. A total of 2,219 patients suffered mortality during the 2-year follow-up, and PNI was indicated to independently predict the risk of in-hospital mortality and 2-year mortality in the test cohort and in the validation cohort. Decision curve analysis indicated that the PNI values were clinically useful; Therefore, the current study demonstrated that the PNI value is an independent predictor of AKI and mortality in patients within the CCU.
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