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Nutritional Risk Screening index is a standard tool to assess nutritional risk, but epidemiological data are scarce on controlling nutritional status (CONUT) as a prognostic marker in acute haemorrhagic stroke (AHS). We aimed to explore whether the CONUT may predict a 3-month functional outcome in AHS. In total, 349 Chinese patients with incident AHS were consecutively recruited, and their malnutrition risks were determined using a high CONUT score of ≥ 2. The cohort patients were divided into high-CONUT (≥ 2) and low-CONUT (< 2) groups, and primary outcomes were a poor functional prognosis defined as the modified Rankin Scale (mRS) score of ≥ 3 at post-discharge for 3 months. Odds ratios (OR) with 95 % confidence intervals (CI) for the poor functional prognosis at post-discharge were estimated by using a logistic analysis with additional adjustments for unbalanced variables between the high-CONUT and low-CONUT groups. A total of 328 patients (60·38 ± 12·83 years; 66·77 % male) completed the mRS assessment at post-discharge for 3 months, with 172 patients at malnutrition risk at admission and 104 patients with a poor prognosis. The levels of total cholesterol and total lymphocyte counts were significantly lower in high-CONUT patients than low-CONUT patients (P = 0·012 and < 0·001, respectively). At 3-month post discharge, there was a greater risk for the poor outcome in the high-CONUT compared with the low-CONUT patients at admission (OR: 2·32, 95 % CI: 1·28, 4·17). High-CONUT scores independently predict a 3-month poor prognosis in AHS, which helps to identify those who need additional nutritional managements.

Summary Background and aims Malnutrition is prevalent among individuals with acute ischaemic stroke (AIS) and may worsen clinical outcomes. There is no consensus on the best tool for nutritional screening in this population. The present study compared four screening tools and one diagnostic tool in terms of their prognostic significance in predicting short-term and long-term outcomes in AIS patients. Methods We included patients admitted to five major hospitals in Wenzhou and diagnosed with a primary diagnosis of AIS from October 1 to December 31, 2018. The Controlling Nutritional Status (CONUT) score, the Geriatric Nutritional Risk Index (GNRI), the Malnutrition Universal Screening Tool (MUST), the Nutritional Risk Screening Tool 2002 (NRS-2002) and the European Society for Clinical Nutrition and Metabolism diagnostic criteria for malnutrition (ESPEN-DCM) were assessed at admission. The clinical outcomes were evaluated by the modified Rankin Scale (mRS) and mortality at 3 months and 12 months after discharge. Results Five hundred and ninety-three patients were included in our prospective study. The mean age was 67.3 ± 12.0 years. Based on the mRS score, 125 patients exhibited poor functional recovery (an mRS ≥3) at 3 months after discharge. Seventeen patients died during the 3-month follow-up period, and the other 25 did not survive 12 months. Multivariate binary logistic regression revealed that inadequate nutritional status at admission, as determined by the CONUT, GNRI, MUST, NRS-2002 and ESPEN-DCM, were independently associated with poor outcomes in AIS patients 3 months after discharge. Both MUST ≥2 and NRS-2002 ≥ 3 showed significant associations with poor outcomes at 12-month post-discharge. Further analysis with the receiver operator characteristic (ROC) curve showed similar results, where all the tools predicted the poor outcomes at 3 months while only the NRS-2002 and MUST scores were significantly associated with the mRS at 12 months post-discharge. Moreover, the area under the curve (AUC) of MUST and NRS-2002 were significantly larger than those for the other tools. The optimal cut-off values of the MUST and NRS-2002 to predict poor outcomes were scores of ≥2 and ≥ 3 points, respectively. Conclusions Our data supported a deleterious effect of inadequate nutrition, as evidenced by the nutrition screening tools or ESPEN-DCM, on clinical outcomes during and beyond the acute phase of AIS. We recommended the use of the MUST and NRS-2002 in guiding nutritional support in AIS patients, as they have higher predictive power and can predict both short-term and long-term outcomes.

Controlling Nutritional Status (CONUT) Score is useful for the nutritional screening. We aimed to explore whether the CONUT score may predict a 3-month functional outcome in hemorrhagic stroke (AHS). Totally, 349 patients with incident AHS were consecutively recruited, and their malnutrition risks were determined using a high CONUT score of ≥ 2. Poor functional outcomes were defined as the modified Rankin Scale (mRS) score of ≥ 3 at 3 months. A total of 328 patients (mean age, 60.4 ± 12.83 years; 66.8% male) were included, 172 (52.40%) patients at malnutrition risk and 104 (31.7%) patients with a poor prognosis. High-CONUT patients had lower total lymphocyte counts and total cholesterol levels than low-CONUT patients (p < 0.001 and p = 0.012). At 3-month post discharge, patients with malnutrition risk had higher hospitalization costs (p = 0.021), lower Barthel Index (p = 0.001), and more infectious complications (p = 0.002) than those without, and there was a greater risk for poor functional outcomes in the high-CONUT compared with the low-CONUT patients at admission (adjusted odds ratio: 2.32, 95% confidence interval: 1.28-4.17). High-CONUT scores predict a 3-month poor prognosis in AHS, which may help identify the AHS patients who need additional nutritional managements.