Baseline Objective Malnutritional Indices as Immune-Nutritional Predictors of Long-Term Recurrence in Patients with Acute Ischemic Stroke

Han, Xiaoyan; Cai, Jinhua; Li, Youjia; Rong, Xiaoming; Li, Yi; He, Lei; Li, Honghong; Liang, Yuchan; Huang, Huiqin; Xu, Yongteng; Shen, Qingyu; Tang, Yamei

doi:10.3390/nu14071337

Cited by 30 publications

(25 citation statements)

References 44 publications

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“…PNI, which can be conveniently calculated from total peripheral lymphocyte count and serum albumin concentration from routine blood samples, has been reported to reflect the immune-nutritional status of patients ( 55 ). Considering the contributions of inflammation and malnutrition to the development of POD, PNI may reasonably serve as an indicator for the risk of POD.…”

Section: Discussionmentioning

confidence: 99%

Association of preoperative prognostic nutritional index with risk of postoperative delirium: A systematic review and meta-analysis

Hung

Chiu²,

Hsu³

et al. 2023

Front. Med.

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Study objectiveTo assess the association between prognostic nutritional index (PNI) and risk of postoperative delirium (POD) in adult patients.MethodsMEDLINE, Google scholar, EMBASE, and Cochrane library databases were searched from inception till April 2022. The primary outcome was the association between PNI and the risk of POD, while the secondary outcomes were correlations of other prognostic factors with POD risk. The correlation between PNI and the incidence of POD was assessed with three approaches: Difference in preoperative PNI between POD and non-POD groups (Model 1) as well as the association of PNI as a continuous parameter (Model 2) or as a binary variable (i.e., low vs. high using a PNI cut-off value of 50) (Model 3) with POD risk.ResultsAnalysis of nine observational studies published from 2010 to 2021 recruiting 3,743 patients showed a POD incidence of 6.4–35%. Our meta-analysis demonstrated a lower PNI among patients in the POD group (MD: −3.78, 95% CI: −4.85 to −2.71, p < 0.0001, I2 = 54.2%) compared to the non-POD group (Model 1). Pooled results revealed a negative association between PNI and POD risk for both Model 2 (OR: 0.91, 95% CI: 0.86–0.97, p = 0.002, I2 = 71%) and Model 3 (OR: 1.68, 95% CI: 1.26–2.23, p < 0.0001, I2 = 0%). Besides, while our results supported an age-dependent increase in POD risk, other factors including body-mass index, surgical time, health status, hypertension, diabetes mellitus, and male gender were non-significant predictors of POD.ConclusionOur results demonstrated a negative association between PNI and POD, which warrant further large-scale studies for validation.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42022323809.

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Section: Discussionmentioning

confidence: 99%

Association of preoperative prognostic nutritional index with risk of postoperative delirium: A systematic review and meta-analysis

Hung

Chiu²,

Hsu³

et al. 2023

Front. Med.

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“…The nutritional condition was assessed using both prognostic nutritional index (PNI) 7,8 and controlling nutritional status (CONUT) scores 8,9 , which objectively reflect nutritional and immunological risks using findings from blood tests 10 . The PNI was calculated using the following formula: PNI = 10 × albumin g/dL + 0.005 × total lymphocyte count/mm 3 .…”

Section: Discussionmentioning

confidence: 99%

Time Course and Characteristics of the Nutritional Conditions in Acute Traumatic Cervical Spinal Cord Injury

Hayashi

Fujiwara

Masuda

et al. 2023

Spine Surg Relat Res

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TH was responsible for designing the study, writing the protocol and reporting, extracting and analyzing data, screening potentially eligible studies, interrupting results, updating reference lists, and creating "Summary of Findings" tables. YF was responsible for designing the study, conducting the literature search, extracting and analyzing data, and screening potential eligible studies. MM contributed to designing the study and interpreting results. KK contributed to designing the study and interpreting the results. HS contributed to designing the study and extracting data. OK contributed to interpreting the results. YM contributed to interpreting the results. KY contributed to interpreting the results and extracting data. TM contributed to interpreting the results as well as providing feedback on the final version of the manuscript.

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“…Among the most-used tools [ 29 , 30 , 31 ], the Mini Nutritional Assessment (MNA) and the MNA short form (MNA-SF) are valid in identifying nutritional risk and may be useful to clinicians for developing interventions to improve the nutritional status of patients. Recent studies [ 32 , 33 , 34 , 35 ] support the use of the Controlling Nutritional Status (CONUT) score—developed by Ignacio et al [ 31 ]—and the Prognostic Nutritional Index (PNI) score as sensitive screening tools for nutritional status assessment. Both these rating scales could help to identify patients who would benefit from early nutritional therapy.…”

Section: Nutritional Status and Healthy Brainmentioning

confidence: 99%

Influence of Oxidative Stress and Inflammation on Nutritional Status and Neural Plasticity: New Perspectives on Post-Stroke Neurorehabilitative Outcome

et al. 2022

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Beyond brain deficits caused by strokes, the effectiveness of neurorehabilitation is strongly influenced by the baseline clinical features of stroke patients, including a patient’s current nutritional status. Malnutrition, either as a pre-stroke existing condition or occurring because of ischemic injury, predisposes patients to poor rehabilitation outcomes. On the other hand, a proper nutritional status compliant with the specific needs required by the process of brain recovery plays a key role in post-stroke rehabilitative outcome favoring neuroplasticity mechanisms. Oxidative stress and inflammation play a role in stroke-associated malnutrition, as well as in the cascade of ischemic events in the brain area, where ischemic damage leads to neuronal death and brain infarction, and, via cell-to-cell signaling, the alteration of neuroplasticity processes underlying functional recovery induced by multidisciplinary rehabilitative treatment. Nutrition strategies based on food components with oxidative and anti-inflammatory properties may help to reverse or stop malnutrition and may be a prerequisite for supporting the ability of neuronal plasticity to result in satisfactory rehabilitative outcome in stroke patients. To expand nutritional recommendations for functional rehabilitation recovery, studies considering the evolution of nutritional status changes in post-stroke patients over time are required. The assessment of nutritional status must be included as a routine tool in rehabilitation settings for the integrated care of stroke-patients.

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Baseline Objective Malnutritional Indices as Immune-Nutritional Predictors of Long-Term Recurrence in Patients with Acute Ischemic Stroke

Cited by 30 publications

References 44 publications

Association of preoperative prognostic nutritional index with risk of postoperative delirium: A systematic review and meta-analysis

Association of preoperative prognostic nutritional index with risk of postoperative delirium: A systematic review and meta-analysis

Time Course and Characteristics of the Nutritional Conditions in Acute Traumatic Cervical Spinal Cord Injury

Influence of Oxidative Stress and Inflammation on Nutritional Status and Neural Plasticity: New Perspectives on Post-Stroke Neurorehabilitative Outcome

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