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Record W4401825682 · doi:10.24198/jkp.v12i2.2526

Correlation between Neutrophil/Lymphocyte Ratio (NLR), lipid profile, lesion location and vascular cognitive impairment in acute ischemic stroke patients

2024· article· en· W4401825682 on OpenAlexaboutno aff
Ira Ristinawati, Kenneth Tan, Benedictus Benedictus, Muhammad Hafizhan, Stefanus Erdana Putra, Suroto Suroto, Diah Kurnia Mirawati, Subandi Subandi, Rivan Danuaji, Pepi Budianto, Yetty Hambarsari, Baarid Luqman Hamidi, Hanindia Riani Prabaningtyas, Ervina Arta Jayanti Hutabarat, Teddy Tejomukti, Raden Andi Ario Tedjo

Bibliographic record

VenueJurnal Keperawatan Padjadjaran · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicInflammation biomarkers and pathways
Canadian institutionsnot available
FundersUniversitas Sebelas Maret
KeywordsMontreal Cognitive AssessmentMedicineInternal medicineStroke (engine)CorrelationNeutrophil to lymphocyte ratioLipid profileCognitive impairmentHyperlipidemiaIschemic strokeLymphocytePhysical therapyCardiologyCholesterolDiseaseIschemiaEndocrinologyDiabetes mellitus

Abstract

fetched live from OpenAlex

Background: Stroke is the leading cause of long-term disability with significant clinical and socioeconomic impact worldwide. Hyperlipidemia and inflammation play major roles in ischemic stroke. This research focuses on the correlation of three factors, namely Neutrophil-Lymphocyte Ratio (NLR), lipid profile, and lesion location, with Vascular Cognitive Impairment (VCI). These factors may serve as potential predictors for VCI. Purpose: This research aims to study the correlation between NLR, lipid profile, and lesion location with vascular cognitive impairment. Besides, this research aims to explore those potential biomarkers as predictors of vascular cognitive impairment. Methods: This was a cross-sectional study which included 107 patients diagnosed with ischemic stroke from February 2022 to January 2023 with a history of admission to the hospital within 72 hours. After signed an informed consent form, every patient had history taking, physical exam, lipid profile, routine blood test, Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment Indonesian Version (MoCA-Ina) on the first hospital day. Statistical tests were done with Spearman correlation method. Results: The data distribution was not normal for INR and MoCA-INA values (p<0.05). Total cholesterol was insignificantly (p=0.092) correlated with MoCA-INA score with low correlation value (r=-0.293). HDL was significantly (p=0.035) correlated with MoCA-INA score with moderate correlation value (r=0.461). LDL was significantly (p=0.028) correlated with MoCA-INA score with low correlation value (r=-0.387). Triglycerides was insignificantly (p=0.440) correlated with MoCA-INA score with very weak correlation value (r=-0.137). NLR was significantly (p=0.015) correlated with MoCA-INA score with moderate correlation value (r=-0.412). Conclusions: Lipid profile is correlated with cognitive impairment in post stroke patients, with HDL being a protective factor, and LDL as risk factor. NLR was associated with worse cognitive function and LDL was directly proportional to NLR. Lesion location reporting was highly heterogeneous and more uniformed reporting is recommended for future research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.227
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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