Background And Purpose: Malnutrition is highly prevalent in ischemic stroke patients. We aimed to investigate whether malnutrition indexes may be useful in predicting mortality at 90 days in ischemic stroke patients treated with intravenous thrombolysis.

Methods: We retrospectively analyzed consecutive patients who underwent thrombolytic therapy at three comprehensive stroke centers. Malnutrition was assessed using the controlling nutritional status (CONUT) score, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI).

Results: Of 979 patients (mean age, 66.8 years; males, 63.6%) included in this study, 91 (9.3%; 95% confidence interval [CI]: 8.4-10.2%) died at 3-month follow up. According to the CONUT, GNRI, and PNI scores, 9.9, 33.7, and 7.0% of patients were moderately or severely malnourished, respectively; 64.0% were at least mildly malnourished by at least 1 malnutrition index. In the multivariate regression model after adjusting for potential confounders, malnutrition (severe risk versus normal nutritional status) was significantly associated with an increased risk of mortality for CONUT scores (adjusted odds ratio [OR] 16.16, 95%CI, 7.86-67.11; < 0.001), GNRI scores (adjusted OR 9.82, 4.10-23.51; < 0.001) and PNI scores (adjusted OR 12.74, 5.56-29.19; < 0.001). Similar results were found when the malnutrition scores were analyzed as continuous variables. Adding the three malnutrition indexes to models containing conventional risk factors significantly improved risk reclassification for 3-month mortality.

Conclusion: Our study showed that malnutrition may be associated with a higher risk of mortality at 3 months in ischemic stroke after intravenous thrombolysis.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901046PMC
http://dx.doi.org/10.3389/fnagi.2022.834973DOI Listing

Publication Analysis

Top Keywords

ischemic stroke
16
risk mortality
12
stroke patients
12
scores adjusted
12
malnutrition
9
patients treated
8
treated intravenous
8
intravenous thrombolysis
8
malnutrition indexes
8
nutritional status
8

Similar Publications

Aim: Ischemic stroke remains one of the leading causes of death and disability worldwide and ca-rotid stenosis is the leading etiology of ischemic strokes of non-cardiac origin. The chronic inflammatory process and pro-inflammatory state in carotid stenosis seem to be the most im-portant underlying factor in carotid occlusion. In addition to medical therapy and carotid ar-tery stunting (CAS) in the treatment of carotid stenosis, carotid endarterectomy (CEA) is the main surgical treatment of carotid stenosis and its prognosis is the main subject of our study.

View Article and Find Full Text PDF

Acute ischemic stroke, a medical emergency caused by reduced cerebral blood flow, results in brain cell damage. While commonly associated with older individuals, strokes can also occur in young and middle-aged adults, posing significant socio-economic and health challenges due to the long-term impact of the condition. This poses significant socio-economic and health challenges because stroke is a leading cause of disability and mortality.

View Article and Find Full Text PDF

Introduction: Post-stroke depression (PSD) can lead to poorer functional outcomes and prognosis. Brain inflammation is a risk factor for PSD. Statins might be beneficial due to their anti-inflammatory properties.

View Article and Find Full Text PDF

Aim: This study intended to explore associations of reverse triiodothyronine (rT3) with emotional disturbances and health-related quality of life (HRQoL) after experiencing acute ischemic stroke (AIS).

Materials And Methods: Serum samples from individuals with AIS were collected on admission to three Lithuania stroke centers and investigated for free tetraiodothyronine, free triiodothyronine (fT3), rT3, and thyroid stimulating hormone levels. At discharge, emotional disturbance was evaluated using the Hospital Depression and Anxiety Scale (HADS), and HRQoL using the EQ-5D-5L scale.

View Article and Find Full Text PDF

Objective: To develop a machine learning-based model for predicting the clinical efficacy of acupuncture intervention in patients with upper limb dysfunction following ischemic stroke, and to assess its potential role in guiding clinical practice.

Methods: Data from 1,375 ischemic stroke patients with upper limb dysfunction were collected from two hospitals, including medical records and Digital Subtraction Angiography (DSA) reports. All patients received standardized acupuncture treatment.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!