Predictive Value of Prognostic Nutritional Index on COVID-19 Severity

Wang, Zhonghua; Lin, Yingwen; Wei, Xuebiao; Li, Fēi; Liao, Xiaolong; Yuan, Huiqing; Huang, Daozheng; Qin, Tiehe; Geng, Heng; Wang, Shou-Hong

doi:10.3389/fnut.2020.582736

Cited by 30 publications

(55 citation statements)

References 43 publications

(34 reference statements)

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“… 32 Finally, eight observational studies, with a total of 2002 patients, were included. 8 , 16 , 17 , 33 , 34 , 35 , 36 , 37 However, one study did not report the adjusted OR of PNI as a continuous variable 33 and thus was not included in the meta‐analysis (Figure S1 ).…”

Section: Resultsmentioning

confidence: 99%

“…Owing to the findings of previous efforts, early risk stratification with an accurate and easily calculated parameter is crucial to prevent the progression of COVID‐19. 16 , 17 However, it seems difficult to arrive at the best evidence‐based decision with respect to the current literature, as no prior study had been conducted systematically regarding the impact of the PNI on outcomes and prognosis among COVID‐19 patients. In this study, first, we report the results of our patients to investigate the indicators of in‐hospital mortality and severity in patients with COVID‐19.…”

Section: Introductionmentioning

confidence: 99%

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Clinical significance of prognostic nutrition index in hospitalized patients with COVID‐19: Results from single‐center experience with systematic review and meta‐analysis

et al. 2021

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Background: We aimed to ascertain risk indicators of in-hospital mortality and severity as well as to provide a comprehensive systematic review and metaanalysis to investigate the prognostic significance of the prognostic nutrition index (PNI) as a predictor of adverse outcomes in hospitalized coronavirus disease 2019 (COVID-19) patients. Methods: In this cross-sectional study, we studied patients with COVID-19 who were referred to our hospital from February 16 to November 1, 2020. Patients with either a real-time reverse-transcriptase polymerase chain reaction test that was positive for COVID-19 or high clinical suspicion based on the World Health Organization (WHO) interim guidance were enrolled. A parallel systematic review/meta-analysis (in PubMed, Embase, and Web of Science) was performed. Results: A total of 504 hospitalized COVID-19 patients were included in this study, among which 101 (20.04%) patients died during hospitalization, and 372

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Clinical significance of prognostic nutrition index in hospitalized patients with COVID‐19: Results from single‐center experience with systematic review and meta‐analysis

et al. 2021

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“… 31 Immune dysfunction and immunological events caused by SARS‐CoV‐2 are the main mechanisms of progression of COVID‐19 and this suggests that surveillance of the lymphocyte count is valuable for early screening of COVID‐19‐related critical illness. 32 Wang et al 14 first defined PNI as an independent biomarker for the COVID‐19 severity. In the pre‐print study of Doğancı et al, 13 it showed an association between the prognosis and mortality of COVID‐19.…”

Section: Discussionmentioning

confidence: 99%

“… 12 There are very few studies, of which one is a pre‐print, investigating the role of PNI in reflecting the inflammatory status and prediction of prognosis in COVID‐19 patients. 13 , 14 Systemic immune‐inflammatory index (SII) is another parameter that reflects the immune and inflammatory status of the organism. 15 SII is a predictor of disease severity and prognosis in patients with tumours, inflammatory diseases, obesity, pulmonary embolism and undergoing primary PCI for acute STEMI.…”

Section: Introductionmentioning

confidence: 99%

Can prognostic nutritional index and systemic immune‐inflammatory index predict disease severity in COVID‐19?

et al. 2021

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Background Prognostic nutritional index (PNI) and systemic immune‐inflammatory index (SII) are inflammation‐based novel markers that predict the prognosis in various patient populations. We have investigated the relationship between the disease severity in COVID‐19, and the PNI and SII scores in the present study. Materials and Methods This cross‐sectional retrospective study included 118 hospitalised patients with a confirmed diagnosis of COVID‐19. The patients were divided into two groups as those who were hospitalised at the intensive care unit (ICU) and those who had been internalised at the clinic (non‐ICU). Results Of the 118 patients, 50.8% were male. The mean age was 57.7 ± 17.5 years in non‐ICU patients and 70.3 ± 11.7 years in ICU patients and the difference was statistically significant ( P < .001). The lymphocyte count and the albumin levels were significantly lower in ICU patients ( P < .001, P < .001, respectively). The PNI score was significantly lower in ICU patients compared with non‐ICU patients ( P < .001). The SII score was found to be significantly higher in ICU patients compared with non‐ICU patients ( P < .001). The value of PNI and SII scores in prediction of the disease severity in COVID‐19 was evaluated with the ROC analysis (PNI: AUC = 0.796, 95%CI: 0.715‐0.877, P < .001; SII: AUC =0.689, 95% CI: 0.559‐0.819, P =.004). When the cut‐off value was taken as ≤36.7 for the PNI score, it was found to have 73.4% sensitivity and 70.8% specificity for predicting of the disease severity and ICU admission probability was 4.4 times higher. When the cut‐off value was taken as ≥813.6 for SII score, it was found to have 70.8% sensitivity and 66.0% specificity for predicting of the disease severity and ICU admission probability was six times higher. Conclusion The PNI and the SII scores are independent predictors of the prognosis and the disease severity in COVID‐19 patients who require hospitalisation at the ICU.

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“…Previous studies showed that lower PNI was correlated with a lower survival rate in patients having various malignancies, such as esophageal squamous cancer, colorectal cancer, gastric cancer, and lung cancer [30,31,32]. Nowadays, PNI is an important biomarker that can be used to discriminate COVID-19 severity, according to the results of several studies [33][34][35][36][37].…”

Section: Discussionmentioning

confidence: 99%

Comparison of Systemic Immune-Inflammation Index (SII), Early Warning Score (ANDC) and Prognostic Nutritional Index (PNI) in Hospitalized Patients with Malignancy, and Their Influence on Mortality from COVID-19

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Akıllı

Yeşilova

et al. 2021

Preprint

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Introduction: COVID-19 pandemic is a serious cause of increased mortality in patients having malignancy. Therefore, to help predict the clinical progression of those patients with COVID-19 who have multiple comorbidities as cancer, we need various indices whose parameters we can easily measure and rapidly calculate. We evaluated several biological indicators based on inflammation and/or nutritional status, such as systemic immune-inflammation index (SII), early warning score (ANDC) and prognostic nutritional index (PNI) in hospitalized COVID-19 patients with and without malignancies for a prognostic significance. Methodology: This is a retrospective and observational study on 186 patients with SARS-CoV-2, who were diagnosed with COVID-19 by real-time PCR testing and hospitalized due to COVID-19 pneumonia. 75 patients had various malignancies, and the rest (111), having a similar age and comorbidity profile based on propensity score matching, had no malignancy. Results: None of the measures as neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (MLR), monocyte to lymphocyte ratio (PLR), SII, PNI or ANDC was found to be significantly different between two groups. Mortality ratio was found to be significantly higher in malignancy group (17,3%). Odds ratio for the mortality, OR:2,39 (%95 CI:1,80 -3,16) was found to be significantly higher for the malignancy group, even though the duration of hospitalization was statistically similar for both groups. PNI was found to be significantly lower for deceased patients compared with survivors in the malignancy group. Contrarily, ANDC was found to be significantly higher for deceased patients in the malignancy group. Conclusions: PNI and ANDC have independent predictive power on determining the in-hospital death in COVID-19 malignancy cases. It is suggested that ANDC seems to be a more sensitive score than SII in COVID-19 cases with malignancies.

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Predictive Value of Prognostic Nutritional Index on COVID-19 Severity

Cited by 30 publications

References 43 publications

Clinical significance of prognostic nutrition index in hospitalized patients with COVID‐19: Results from single‐center experience with systematic review and meta‐analysis

Clinical significance of prognostic nutrition index in hospitalized patients with COVID‐19: Results from single‐center experience with systematic review and meta‐analysis

Can prognostic nutritional index and systemic immune‐inflammatory index predict disease severity in COVID‐19?

Comparison of Systemic Immune-Inflammation Index (SII), Early Warning Score (ANDC) and Prognostic Nutritional Index (PNI) in Hospitalized Patients with Malignancy, and Their Influence on Mortality from COVID-19

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