Prognostic Nutritional Index for Predicting 3-Month Outcomes in Ischemic Stroke Patients Undergoing Thrombolysis

Xiang, Weiwei; Chen, Xiyi; Ye, Weiyi; Li, Jia; Zhang, Xu; Xie, Dewei

doi:10.3389/fneur.2020.00599

Cited by 42 publications

(58 citation statements)

References 21 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the results of our study, it can be said that the prognosis will be much poorer and mortality will be much higher after AIS in patients with malnutrition before the development of AIS. Furthermore, similar to the study conducted by Xiang et al, we revealed that low PNI value in the acute period was associated with mortality in AIS patients 16 . Therefore, measuring the PNI value, which can be easily calculated and does not require additional expenses, in the acute period can be used to determine the short-term prognosis in these patients.…”

Section: Discussionsupporting

confidence: 90%

Can the prognostic nutritional index be used as an indicator of mortality in patients with acute ischemic stroke?

Bolayir¹

2020

Cumhuriyet Medical Journal

View full text Add to dashboard Cite

It is known that malnutrition in acute ischemic stroke(AIS) patients is closely related to poor prognosis. The clinical and prognostic significance of the prognostic nutritional index (PNI), defined by Onodera et al, in patients with AIS has not yet been exhibited clearly. For this reason, our aim in this study is to determine the effect of PNI on short-term mortality of patients with AIS. Method: Our study was a single-centered retrospective study. The patient group consisted of 452 patients who were referred to our clinic within the first 24 h of symptoms and diagnosed with AIS between January 2010-2020. The patient and control groups were compared in terms of albumin, lymphocyte count(LC) and PNI levels. Results: Albumin, LC and PNI levels were lower in the patient group. Then the patient group was divided into two subgroups according to 30-day mortality [the first group (surviving patients(n=351)), the second group(exitus within 30 days after AIS(n=101))]. When these two groups were compared in terms of LC, albumin and PNI levels, the LC, albumin and PNI levels were found lower in the second group(p<0.05). A multivariate analysis to determine the risk factors associated with 30-day mortality after AIS revealed that uric acid and PNI were independent variables. Operating characteristic curve analysis also showed that values below 48 for PNI could be used with high sensitivity and specificity in detecting 30-day mortality due to AIS. Conclusions: This study showed that low PNI levels was closely associated with short-term mortality after AIS. Based on these results, it can be concluded that PNI levels may be regarded as a new indicator for determining post-AIS prognosis. More detailed and extensive prospective studies in this regard are needed in the future.

show abstract

Section: Discussionsupporting

confidence: 90%

Can the prognostic nutritional index be used as an indicator of mortality in patients with acute ischemic stroke?

Bolayir¹

2020

Cumhuriyet Medical Journal

View full text Add to dashboard Cite

show abstract

“… 7 , 8 The predictive power of this index has also been proved to be high in predicting poor prognosis in subjects with coronary artery disease, acute coronary syndrome, and also stroke. 8 , 11 , 23 However, in the current literature, there is a gap in evidence whether the PNI has an independent predictive power on determining the in-hospital death in COVID-19 cases with cardiovascular risk factors. Our data clearly yielded that after controlling for confounding factors, the PNI was independently related with in-hospital death in such kind of cases.…”

Section: Discussionmentioning

confidence: 99%

“… 7 , 8 Moreover, the prognostic value of this index has been clearly documented in patients with cardiovascular disease, pulmonary embolism, and stroke. 9 , 10 , 11 However, in the current literature, there is a little data whether the PNI has a prognostic value on in-hospital mortality rates in COVID-19 cases with cardiovascular risk factors. Moreover, there is a lack of data in the literature on the comparison of PNI with other accepted prognostic scores such as CURB-65 and 4C mortality risk scores in predicting in-hospital mortality in COVID-19 patients.…”

Section: Introductionmentioning

confidence: 99%

Is prognostic nutritional index a predictive marker for estimating all-cause in-hospital mortality in COVID-19 patients with cardiovascular risk factors?

et al. 2021

View full text Add to dashboard Cite

Background: This study examined the possible association between the prognostic nutritional index (PNI) and in-hospital mortality rates in cases with a high cardiovascular risk burden and hospitalized with the diagnosis of coronavirus disease 2019 . Material and Methods: This retrospective and cross-sectional study included 294 COVID-19 patients hospitalized in a tertiary referral pandemic center. The study cohort was grouped into tertiles based on the initial PNI values as T1, T2, and T3. The PNI was calculated for each case and the prognostic value of this index was compared to CURB-65 and 4C mortality risk scores in predicting in-hospital mortality. Results: Patients stratified into the T1 tertile had a lower lymphocyte count, serum albumin level, and PNI values. In a multivariate analysis, the PNI (OR: 0.688,%95CI: 0.586À0.808, p < 0.001) was an independent predictor for all-cause in-hospital death. After adjusting for confounding independent parameters, patients included in the T1 tertile were found to have 11.2 times higher rates of in-hospital mortality compared to the T3 group, which was presumed as the reference group. In addition, we found that the area under curve (AUC) value of PNI was significantly elevated than that of serum albumin level and total lymphocyte counts alone. [(AUC):0.79 vs AUC:0.75 vs AUC:0.69; respectively). Conclusion: This study demonstrated that the PNI is independently related with in-hospital mortality in patient with COVID-19 and cardiovascular risk factors. The power of the PNI was also validated using wellaccepted risk scores of COVID-19 such as CURB-65 and 4C mortality risk scores.

show abstract

“…The CONUT score was calculated from the levels of three laboratory parameters including serum albumin, lymphocytes, Accepted manuscript and total cholesterol (14) . We set 2 as the cut-off value for CONUT score by a receiver operating characteristics (ROC) curves analysis (Supplementary Figure S1) and categorized the patients into low-CONUT and high-CONUT groups according to the CONUT score: no or low risk of malnutrition (0-1) and high malnutrition risk (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12). The NRS-2002 score of ≥ 3 points indicates that the patient is at nutritional risk (23) , considering the impaired nutritional status, the severity of the disease, and the patients' age.…”

Section: Conut Score and Nrs-2002mentioning

confidence: 99%

A prospective epidemiological analysis of controlling nutritional status score with the poor functional outcomes in Chinese patients with haemorrhagic stroke

Zhu

Cai

et al. 2021

Br J Nutr

View full text Add to dashboard Cite

Nutritional Risk Screening index is a standard tool to assess nutritional risk, but epidemiological data are scarce on Controlling Nutritional Status (CONUT) as a prognostic marker in acute hemorrhagic stroke (AHS). We aimed to explore whether the CONUT may predict a 3-month functional outcome in AHS. In total, 349 Chinese patients with incident AHS were consecutively recruited, and their malnutrition risks were determined using a high CONUT score of ≥ 2. The cohort patients were divided into high-CONUT (≥ 2) and low-CONUT (< 2) groups, and primary outcomes were a poor functional prognosis defined as the modified Rankin Scale (mRS) score of ≥ 3 at post-discharge for 3 months. Odds ratios (OR) with 95% confidence intervals (CI) for the poor functional prognosis at post-discharge were estimated by using a logistic analysis with additional adjustments for unbalanced variables between the high-CONUT and low-CONUT groups. A total of 328 patients (60.4 ± 12.83 years; 66.8% male) completed the mRS assessment at post-discharge for 3 months, with 172 patients at malnutrition risk at admission and 104 patients with a poor prognosis. The levels of total cholesterol and total lymphocyte counts were significantly lower in high-CONUT patients than low-CONUT patients (p = 0.012 and < 0.001, respectively). At 3-month post discharge, there was a greater risk for the poor outcome in the high-CONUT compared with the low-CONUT patients at admission (OR: 2.32, 95% CI: 1.28-4.17). High-CONUT scores independently predict a 3-month poor prognosis in AHS, which helps identify those who need additional nutritional managements.

show abstract

Prognostic Nutritional Index for Predicting 3-Month Outcomes in Ischemic Stroke Patients Undergoing Thrombolysis

Cited by 42 publications

References 21 publications

Can the prognostic nutritional index be used as an indicator of mortality in patients with acute ischemic stroke?

Can the prognostic nutritional index be used as an indicator of mortality in patients with acute ischemic stroke?

Is prognostic nutritional index a predictive marker for estimating all-cause in-hospital mortality in COVID-19 patients with cardiovascular risk factors?

A prospective epidemiological analysis of controlling nutritional status score with the poor functional outcomes in Chinese patients with haemorrhagic stroke

Contact Info

Product

Resources

About