Unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure: a dual biomarker approach for cognitive risk stratification in hypertensive minor stroke
AimThis study aims to evaluate the predictive value of combining red cell distribution width (RDW) and peak morning home systolic blood pressure (SBP) for post-stroke cognitive impairment (PSCI) in hypertensive patients with minor stroke.MethodsA prospective cohort study enrolled 430 patients, rando...
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Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1637561/full |
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| author | Yimin Shu Jie Chen Yanjin Song Wuhong Wang |
| author_facet | Yimin Shu Jie Chen Yanjin Song Wuhong Wang |
| author_sort | Yimin Shu |
| collection | DOAJ |
| description | AimThis study aims to evaluate the predictive value of combining red cell distribution width (RDW) and peak morning home systolic blood pressure (SBP) for post-stroke cognitive impairment (PSCI) in hypertensive patients with minor stroke.MethodsA prospective cohort study enrolled 430 patients, randomly stratified into training (n = 301) and validation (n = 129) cohorts. Multivariable logistic regression and random forest model were employed for analysis.ResultsBoth RDW and peak morning home SBP emerged as independent risk factors for PSCI (OR = 70.95 and 1.104, respectively; p < 0.001 for both). The combined model significantly improved predictive performance, achieving an area under the curve (AUC) of 0.925 (95% CI: 0.901–0.948), surpassing individual biomarkers (RDW: AUC = 0.883; peak morning home SBP: AUC = 0.765). Subgroup analyses demonstrated superior discriminative capacity in coronary heart disease (AUC = 0.956) and female patients (AUC = 0.925).ConclusionThe integration of RDW and peak morning home SBP provides an efficient, cost-effective, and clinically translatable tool for cognitive risk stratification in hypertensive patients with minor stroke, offering enhanced precision over conventional single-biomarker approaches. |
| format | Article |
| id | doaj-art-0aac95fc92a94a6aae8b5edf4eefdcac |
| institution | Kabale University |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-0aac95fc92a94a6aae8b5edf4eefdcac2025-08-26T04:12:50ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-08-011610.3389/fneur.2025.16375611637561Unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure: a dual biomarker approach for cognitive risk stratification in hypertensive minor strokeYimin ShuJie ChenYanjin SongWuhong WangAimThis study aims to evaluate the predictive value of combining red cell distribution width (RDW) and peak morning home systolic blood pressure (SBP) for post-stroke cognitive impairment (PSCI) in hypertensive patients with minor stroke.MethodsA prospective cohort study enrolled 430 patients, randomly stratified into training (n = 301) and validation (n = 129) cohorts. Multivariable logistic regression and random forest model were employed for analysis.ResultsBoth RDW and peak morning home SBP emerged as independent risk factors for PSCI (OR = 70.95 and 1.104, respectively; p < 0.001 for both). The combined model significantly improved predictive performance, achieving an area under the curve (AUC) of 0.925 (95% CI: 0.901–0.948), surpassing individual biomarkers (RDW: AUC = 0.883; peak morning home SBP: AUC = 0.765). Subgroup analyses demonstrated superior discriminative capacity in coronary heart disease (AUC = 0.956) and female patients (AUC = 0.925).ConclusionThe integration of RDW and peak morning home SBP provides an efficient, cost-effective, and clinically translatable tool for cognitive risk stratification in hypertensive patients with minor stroke, offering enhanced precision over conventional single-biomarker approaches.https://www.frontiersin.org/articles/10.3389/fneur.2025.1637561/fullred cell distribution widthpeak morning home systolic blood pressurehypertensioncognitive impairmentminor stroke |
| spellingShingle | Yimin Shu Jie Chen Yanjin Song Wuhong Wang Unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure: a dual biomarker approach for cognitive risk stratification in hypertensive minor stroke Frontiers in Neurology red cell distribution width peak morning home systolic blood pressure hypertension cognitive impairment minor stroke |
| title | Unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure: a dual biomarker approach for cognitive risk stratification in hypertensive minor stroke |
| title_full | Unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure: a dual biomarker approach for cognitive risk stratification in hypertensive minor stroke |
| title_fullStr | Unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure: a dual biomarker approach for cognitive risk stratification in hypertensive minor stroke |
| title_full_unstemmed | Unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure: a dual biomarker approach for cognitive risk stratification in hypertensive minor stroke |
| title_short | Unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure: a dual biomarker approach for cognitive risk stratification in hypertensive minor stroke |
| title_sort | unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure a dual biomarker approach for cognitive risk stratification in hypertensive minor stroke |
| topic | red cell distribution width peak morning home systolic blood pressure hypertension cognitive impairment minor stroke |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1637561/full |
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