Evidence map›Paper›PMID 42251284›Full record

ArticleBMC neurology2026

Prognostic value of C-reactive protein to albumin ratio for in-hospital mortality in acute stroke patients.

Tuba Gül, Yasemin Kaya, Ahmet Kaya, Şükran Kaygısız, Fatih Akkaya, Gökce Yüce Onur

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Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tuba GülFaculty of Medicine, Department of Neurology, Ordu University, Ordu Training and Research Hospital, Ordu, Turkey.
Yasemin KayaFaculty of Medicine, Department of Internal Medicine, Ordu University, Ordu Training and Research Hospital, Ordu, Turkey.
Ahmet KayaFaculty of Medicine, Department of Cardiology, Ordu University, Ordu Training and Research Hospital, Ordu, Turkey.
Şükran KaygısızFaculty of Medicine, Department of Neurology, Ordu University, Ordu Training and Research Hospital, Ordu, Turkey.
Fatih AkkayaFaculty of Medicine, Department of Cardiology, Ordu University, Ordu Training and Research Hospital, Ordu, Turkey.
Gökce Yüce OnurFaculty of Medicine, Department of Neurology, Ordu University, Ordu Training and Research Hospital, Ordu, Turkey. gokceyuce52@gmail.com.ORCID http://orcid.org/0000-0001-7340-8187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the prognostic significance of the C-reactive protein to albumin ratio (CAR) in predicting in-hospital mortality among patients presenting with acute stroke.

methodA total of 483 adult patients (≥ 18 years) consecutively hospitalized for stroke over a one-year period (July 2022 - July 2023) were analyzed retrospectively. Exclusion criteria include malignancy, autoimmune/rheumatological disorders, chronic infections, conditions affecting inflammation or protein status, including liver failure and nephrotic syndrome, cachexia (BMI < 18 kg/m²). Baseline demographics, comorbidities, and laboratory indices were recorded upon admission. The CAR was derived by dividing the C-reactive protein (CRP) level by the serum albumin level. Comparative analysis was conducted between the mortality and non-mortality groups. The independent prognostic value of CAR was determined via binary logistic regression model.

resultsSignificant differences were observed between the mortality and non-mortality groups regarding baseline laboratory parameters. Patients in the in-hospital mortality group exhibited significantly higher levels of glucose (p = 0.001), AST (p = 0.001), white blood cell (p = 0.001), CRP (< 0.001) and CAR (< 0.001) levels were found to be significantly higher. Conversely, hemoglobin levels were significantly lower in the mortality group (p = 0.031). As a result of Binary logistic regression analysis to find independent predictors of in-hospital mortality CAR (Exp(B) 95% CI = 1.047 (1.026-1.068) p < 0.001) and glucose (Exp(B) 95% CI = 1.006 (1.000-1.011) p = 0.048) were found as independent predictors. ROC curve analysis demonstrated that a CAR cutoff value of 1.06 predicted in-hospital mortality with 74% sensitivity and 65% specificity [AUC: 0.774, 95% CI: 0.686-0.862].

conclusionThe present study found a significant association between elevated CAR levels and early in-hospital mortality from all causes in patients with acute stroke. It also demonstrated that CAR may be an independent predictor of early in-hospital mortality from all causes in all patients hospitalized with acute stroke, both in the general ward and intensive care unit.

Indexed as

C-Reactive ProteinHospital MortalitySerum AlbuminStrokeAgedAged, 80 and overBiomarkersFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersC-Reactive ProteinSerum AlbuminC-reactive protein albumin ratioIn-hospital mortalityStroke

Identifiers

PMID42251284
PMCPMC13459322

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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 OpenQuestion graph.