{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T05:04:48Z","timestamp":1789707888111,"version":"4.0.1"},"reference-count":33,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T00:00:00Z","timestamp":1789689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"<jats:sec>\n                    <jats:title>Background and aims<\/jats:title>\n                    <jats:p>Mounting evidence suggests CBC-derived hematological inflammatory ratios correlate with nutritional status, yet few studies explore their cross-sectional associations with GNRI-defined concurrent nutritional risk in elderly patients with acute ischemic stroke (AIS). This single-center, cross-sectional, observational study was designed to evaluate the correlation between routine admission hematological markers and nutritional risk in elderly patients with AIS. Twelve CBC-derived indices were analyzed: lymphocyte ratio (LR), red blood cell-to-lymphocyte ratio (RLR), hemoglobin-to-lymphocyte ratio (HLR), monocyte-to-lymphocyte ratio (MLR), monocyte-to-neutrophil ratio (MNR), neutrophil-to-lymphocyte ratio (NLR), NLR-to-platelet ratio (NLR\/PLT100), MLR-to-platelet ratio (MLR\/PLT), platelet-to-neutrophil ratio (PNR), platelet-to-lymphocyte ratio (PLR), mean platelet volume-to-lymphocyte ratio (MPVLR), serum albumin-to-lymphocyte ratio (ALBLR).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Between January 2022 and January 2024, 540 elderly AIS patients (\u226560\u202fyears) were enrolled. All participants underwent admission GNRI assessment and were split into GNRI-defined nutritional risk group (GNRI\u226498,\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f245, 45.4%) and non-nutritional risk group (GNRI&amp;gt;98,\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f295). Venous blood was collected within 24\u202fh on admission. Univariate and multivariate logistic regression were applied to explore cross-sectional correlations, and an exploratory combined statistical model was built. ROC curve, DeLong\u2019s test, likelihood ratio test and AIC were used to evaluate model discrimination and fit.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Multiple indicators including age, hypertension, ALT, UA, TG, LR, RLR, MLR, NLR, NLR\/PLT100, MLR\/PLT, PLR and MPVLR showed univariate correlations with nutritional risk. Multivariate regression identified MLR and NLR\/PLT100 as independent correlates within this cohort; MLR showed the strongest association in this dataset instead of robust correlative ability. Adding MLR alone or combining MLR\u202f+\u202fNLR\/PLT100 to base clinical variables significantly improved C-statistic. The combined model reached an AUC of 0.735, representing only moderate discriminative capacity, and it was merely the superior exploratory model limited to the present sample without external generalizability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Within this single-center cohort, MLR exhibited the strongest cross-sectional correlation with GNRI-defined nutritional risk among all tested CBC-derived hematological inflammatory ratios. The composite model combining baseline clinical indicators, MLR and NLR\/PLT*100 demonstrated moderate discriminative ability within the study sample, but is not yet robust enough to serve as an effective tool for routine clinical risk stratification.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fneur.2026.1821874","type":"journal-article","created":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T04:37:15Z","timestamp":1789706235000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Association between complete blood count-derived hematological inflammatory ratios and nutritional risk in elderly patients with acute ischemic stroke"],"prefix":"10.3389","volume":"17","author":[{"given":"Liang\u2019e","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University","place":["Wenzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjing","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Neurology, The Second Affiliated Hospital of Zhejiang Chinese Medical University","place":["Hangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Clinical Nutrition, The Third Affiliated Hospital of Wenzhou Medical University","place":["Wenzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,18]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/S1474-4422(18)30500-3","article-title":"Stroke in China: advances and challenges in epidemiology, prevention, and management","volume":"18","author":"Wu","year":"2019","journal-title":"Lancet 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Gastroenterol"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"1225","DOI":"10.3390\/nu16081225","article-title":"The relationship between neutrophil\u2013lymphocyte ratios with nutritional status, risk of nutritional indices, prognostic nutritional indices and morbidity in patients with ischemic stroke","volume":"16","author":"Misirlioglu","year":"2024","journal-title":"Nutrients"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1186\/s12871-025-03232-6","article-title":"Assessment of nutritional indices for predicting clinical outcomes in critically ill elderly patients: a prospective cohort study","volume":"25","author":"Balaban","year":"2025","journal-title":"BMC Anesthesiol"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"8656864","DOI":"10.1155\/2022\/8656864","article-title":"Neutrophil-to-lymphocyte ratio and early neurological deterioration in stroke patients: a systematic review and 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