Evidence map›Paper›PMID 39109115›Full record

ArticleCureus2024

The Aggregate Index of Systemic Inflammation as a Predictor of Mortality in Stroke Patients.

Adalet Göçmen, Tulin Gesoglu Demir

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Adalet GöçmenNeurology, Sanliurfa Training and Research Hospital, Sanliurfa, TUR.
Tulin Gesoglu DemirNeurology, Harran University Faculty of Medicine, Sanliurfa, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives Stroke, a leading cause of mortality and disability, involves significant inflammation both before and after onset. This study investigates the relationship between the aggregate index of systemic inflammation (AISI) and mortality in stroke patients. The objective is to determine if AISI, an easily accessible biomarker, can predict stroke prognosis. Materials and methods In this retrospective study, the medical records of patients who presented to Harran University Neurology Clinic between January 2018 and September 2023 were reviewed. A total of 200 patients, 106 of whom were diagnosed as having an ischaemic stroke and 94 of whom were diagnosed as having a haemorrhagic stroke, were included in the study. A control group was also formed, which consisted of 100 people of similar age and sex with the patient group. The controls had neither chronic disease nor chronic drug use. Using biochemical and full blood count parameters, neutrophil-to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), monocyte to lymphocyte ratio (MLR), neutrophil to high-density cholesterol ratio (NHR), monocyte to high-density cholesterol ratio, systemic immune inflammation index (SII), systematic immune response index (SIRI) and the AISI were calculated for all patients and the control group. Results A comparison of the two groups revealed significantly higher NLR, NHR, PLR, LMR, MLR, SII, SIRI and AISI values compared with the controls. NLR, PLR, SII, SIRI and AISI values were significantly higher in haemorrhagic stroke than in ischaemic stroke. Elevated NLR level and SII were correlated to mortality (respectively p:0.000, p = 0.017). SIRI (p = 0.189) and AISI (p = 0.162) were not correlated to mortality. However, receiver operating characteristic curve analysis determined that mortality increased for patients with AISI values above 507.45 (p = 0.003). Conclusions The AISI was found to be high among stroke patients, especially in haemorrhagic strokes. A relationship was observed between the increase in AISI above a certain value and mortality. The AISI is an accessible biomarker that shows inflammation in stroke patients. Therefore, it can be used to predict the prognosis of stroke.

Indexed as

hemorrhagicinflammationischemicmortalitystrokethe aggregate index of systemic inflammation

Identifiers

PMID39109115
PMCPMC11301770

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.