Predictive Value of C-Reactive Protein/Albumin Ratio (CAR) for Malnutrition and Sarcopenia in Acute Ischemic Stroke...

Background/Objective: Malnutrition and sarcopenia are common complications after ischemic stroke and have a negative impact on prognosis. The C-reactive protein/albumin ratio (CAR) reflects both inflammation and nutritional status, but its predictive role in this setting has not been widely studied. This study aimed to investigate the predictive value of CAR (C-reactive protein/albumin ratio) for malnutrition risk and probable sarcopenia in patients with ischemic stroke. Methods: In this prospective observational study, 197 patients with acute ischemic stroke were evaluated. Patients with chronic renal or hepatic failure, malignancy, active infection, and hand disability preventing grip strength measurement were excluded. Demographic data (age, sex), vascular risk factors, the NIHSS score, and laboratory parameters were recorded. The nutritional status of patients was assessed using the Nutritional Risk Screening-2002 (NRS-2002), and sarcopenia risk was evaluated with the SARC-F questionnaire. Handgrip strength was measured in patients with high SARC-F scores to define probable sarcopenia. CAR was calculated from serum CRP and albumin levels. Logistic regression was applied to identify independent predictors, and receiver operating characteristic (ROC) analyses were performed to determine the discriminatory ability and cut-off values of CAR. The nutritional status of patients admitted to the neurology clinic with acute ischemic stroke was assessed using the Nutritional Risk Screening-2002 (NRS-2002), and sarcopenia risk was evaluated with the SARC-F questionnaire. Handgrip strength was measured in patients with high SARC-F scores to define probable sarcopenia. CAR was calculated from serum CRP and albumin levels. Logistic regression and receiver operating characteristic (ROC) analyses were performed. Results: Malnutrition risk was identified in 32.5% of patients, and probable sarcopenia was identified in 19.3% of patients. ROC analysis showed that CAR had acceptable discriminatory power for both conditions. In multivariate analysis, CAR was consistently identified as an independent predictor of malnutrition risk and possible sarcopenia. ROC analysis for malnutrition risk showed an AUC of 0.750 (cut-off: 0.306; sensitivity 68.8%; specificity 75.2%). In regression analysis, CAR (OR = 2.13; 95% CI: 1.39-3.26; p < 0.001), age (OR = 1.05; 95% CI: 1.02-1.09; p = 0.003), and NIHSS (OR = 1.11; 95% CI: 1.01-1.23; p = 0.026) were independent predictors. For probable sarcopenia, ROC analysis revealed an AUC of 0.814 (cut-off: 0.320; sensitivity 81.6%; specificity 71.7%). Multivariate analysis identified CAR (OR = 1.73; 95% CI: 1.19-2.52; p = 0.004), age (OR = 1.11; 95% CI: 1.05-1.18; p < 0.001), and NIHSS (OR = 1.19; 95% CI: 1.05-1.35; p = 0.007) as independent predictors. Conclusions: CAR was identified as an independent predictor of both malnutrition risk and probable sarcopenia in ischemic stroke patients. CAR may serve as a reliable biomarker for early nutritional and functional risk stratification in clinical practice.