Explore the vast range of titles available.

Background: The controlling nutritional status (CONUT) score and the prognostic nutritional index (PNI) score were designed as indicators of patients’ immune-nutritional status. This study aimed to investigate the prognostic impact of the CONUT and PNI scores on long-term recurrent ischemic stroke (RIS) and adverse outcomes for adults with acute ischemic stroke (AIS). Methods: This retrospective study enrolled 991 AIS patients. Multivariable Cox regression models were used to assess the relationships of the malnutritional indices and RIS and major cardiovascular events (MACEs). Results: During a median follow-up at 44 months (IQR 39–49 months), 203 (19.2%) patients had RIS and 261 (26.3%) had MACEs. Compared with normal nutritional status, moderate to severe malnutrition was significantly related to an increased risk of RIS in the CONUT score (adjusted hazard ratio (HR) 3.472, 95% confidence interval (CI) 2.223–5.432, p < 0.001). A higher PNI value tertile (tertile two, adjusted HR 0.295, 95% CI 0.202–0.430; tertile three, adjusted HR 0.445, 95% CI 0.308–0.632, all p < 0.001) was related to a lower risk of RIS. Similar results were found for MACEs. The PNI exhibited nonlinear association with the RIS and both two malnutritional indices improved the model’s discrimination when added to the model with other clinical risk factors. Conclusions: This study demonstrated that the CONUT and PNI are promising, straightforward screening indicators to identify AIS patients with impaired immune-nutritional status at higher risk of long-term RIS and MACEs.

Diffuse large B cell lymphoma (DLBCL) is the most common type of aggressive non-Hodgkin lymphoma. Emerging evidence indicates that poor nutritional status determined with nutritional indices such as geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status score (CONUT) was associated with poor prognosis of DLBCL. We conducted this multicenter retrospective study to validate and compare prognostic values of the three indices in 615 newly diagnosed DLBCL patients. The overall survival (OS) in patients with poor nutritional status determined with each of these nutritional indices were significantly inferior compared with that in those without nutritional risks (5-year OS in patients with GNRI < 95.7 and GNRI ≥ 95.7 were 56.4% and 83.5%, P < 0.001; PNI < 42.4 and PNI ≥ 42.4 were 56.1% and 81.0%, P < 0.001; CONUT > 4 and CONUT ≤ 4 were 53.1% and 77.1%, P < 0.001). GNRI and CONUT were independent prognostic predictors for OS (GNRI < 95.7, hazard ratio [HR] 1.83, 95% confidence interval [CI] 1.22–2.74, P = 0.0032; CONUT > 4, HR 1.53, 95% CI 1.05–2.23, P = 0.028) after multivariate analyses. Nutritional status determined with GNRI affected OS more strongly in the patients with nongerminal center B cell–like (nonGCB) DLBCL compared with that in those with GCB-type DLBCL. In conclusion, baseline poor nutritional status determined based on GNRI or CONUT was an independent risk factor of newly diagnosed DLBCL, and GNRI was also useful as an independent prognostic factor for patients with nonGCB-type DLBCL.

The present study aimed to examine the association of the controlling nutritional status (CONUT) score with outcomes in patients undergoing esophagectomy for esophageal cancer (EC). A systematic literature review was carried out to investigate the impact of the CONUT score in EC. Next, meta-analysis of long-term outcomes was performed. The search found six eligible retrospective studies, and five studies with 952 patients were included in the meta-analysis. Meta-analysis found a significant association of the CONUT score with outcomes including overall survival [hazard ratio (HR)=2.51, 95% confidence interval (CI)=1.75-3.60, p<0.001], cancer-specific survival (HR=2.60, 95%CI=1.53-4.41, p<0.001), and recurrence free survival (HR=2.08, 95%CI=1.39-3.12, p<0.001). The CONUT score may be an independent predictor associated with prognosis in patients undergoing esophagectomy for EC. However, further studies are needed to clarify the association of the CONUT score with postoperative outcomes in EC patients.

ObjectiveTo analyze the effectiveness of combining immune checkpoint inhibitors (ICIs) with first-line therapy in patients with advanced biliary tract cancer (BTC) and explore the biomarkers affecting the prognosis of immunotherapy, to construct a nomogram for the prediction of survival.MethodsA retrospective study was conducted to include a total of 209 patients with advanced BTC treated in the first line from 2018 to 2022, divided into a combination therapy group (n = 129) and a chemotherapy-only group (n = 80) according to whether ICIs were applied in combination. Univariate and multifactorial COX regression analyses were performed on variables that may affect prognosis to identify independent influences on patient prognosis, and this was used to create nomograms, which were then prospectively validated and calibrated.ResultsThe median progression-free survival (mPFS) and median overall survival (mOS) of patients in the combination therapy group were higher than those in the chemotherapy alone group [hazard ratio (HR) = 1.152, 95% confidence interval (CI): 0.7848–1.692, p = 0.0004, and HR = 1.067, 95% CI: 0.7474–1.524, p = 0.0016]. The objective response rate (ORR) of patients in the combination therapy and chemotherapy alone groups was 39.5% (51/129) vs. 27.5% (22/80), and the disease control rate (DCR) between the two groups was 89.9% (116/129) vs. 83.8% (67/80). Univariate analysis revealed the gender, presence of long-term tobacco and alcohol, degree of histological differentiation, serum albumin level, presence of liver metastases, presence of multi-visceral metastases, response, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), glycoprotein antigen 19-9 (CA19-9), systemic inflammatory index (SII), and controlling nutritional status (CONUT) scores were statistically significant with patient prognosis (all P values < 0.05). Multi-factor COX regression analysis was continued for the above variables, and the results showed that NLR, MLR, PLR, SII, and CONUT scores were independent influences on patients’ OS (all p values < 0.05). A nomogram (C-index 0.77, 95% CI: 0.71–0.84) was created based on these independent influences and later validated using a validation cohort (C-index 0.75, 95% CI: 0.68–0.81). The time-dependent receiver operator characteristic curve (ROC) showed that the area under curve (AUC) of the training cohort patients at 12, 18, and 24 months was 0.72 (95% CI: 0.63–0.81), 0.75 (95% CI: 0.67–0.85), and 0.77 (95% CI: 0.66–0.87) and the AUC of the validation cohort was 0.69 (95% CI: 0.58–0.79), 0.74 (95% CI: 0.65–0.87), and 0.71 (95% CI: 0.64–0.89), respectively. Finally, calibration was performed using calibration curves, and the results showed that nomograms based on inflammatory metrics and CONUT scores could be used to assess survival (12, 18, and 24 months) in patients with advanced BTC treated with ICIs in the first line.ConclusionPatients with advanced BTC benefit more from first-line treatment with standard chemotherapy in combination with ICIs than with chemotherapy alone. In addition, nomograms based on inflammatory metrics and CONUT scores can be used to predict survival at 12, 18, and 24 months in patients with advanced BTC treated with ICIs.

Background: This study aimed to compare the controlling nutritional status (CONUT) score, prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI) for predicting postoperative outcomes in patients with esophageal squamous cell carcinoma undergoing esophagectomy. Methods: We retrospectively reviewed the data of 1265 consecutive patients who underwent elective esophageal surgery. The patients were classified into no risk, low-risk, moderate-risk, and high-risk groups based on nutritional scores. Results: The moderate-risk (hazard ratio [HR]: 1.55, 95% confidence interval [CI]: 1.24–1.92, p < 0.001 in CONUT; HR: 1.61, 95% CI: 1.22–2.12, p = 0.001 in GNRI; HR: 1.65, 95% CI: 1.20–2.26, p = 0.002 in PNI) and high-risk groups (HR: 1.91, 95% CI: 1.47–2.48, p < 0.001 in CONUT; HR: 2.54, 95% CI: 1.64–3.93, p < 0.001 in GNRI; HR: 2.32, 95% CI: 1.77–3.06, p < 0.001 in PNI) exhibited significantly worse 5-year overall survival (OS) compared with the no-risk group. As the nutritional status worsened, the trend in the OS rates decreased (p for trend in all indexes < 0.05). Conclusions: Malnutrition, evaluated by any of three nutritional indexes, was an independent prognostic factor for postoperative survival.

Some studies have identified influencing factors of COVID-19 illness in elderly, such as underlying diseases, but research on the effect of nutritional status is still lacking. This study retrospectively examined the influence of nutritional status on the outcome of elderly COVID-19 inpatients. A retrospective analysis of the clinical data of 4241 COVID-19 patients who were admitted to a third-class hospital of Nanchang between November 1, 2022 and January 31, 2023 was conducted. Nutritional status was assessed using the prognostic nutritional index (PNI) and controlling nutritional status score (CONUT). The influence of nutritional status on the outcome of COVID-19 patients was determined through multivariate adjustment analysis, restrictive cubic spline, and receiver operating characteristic curve (ROC). Compared with mild/no malnutrition, severe malnutrition substantially increased the critical outcome of COVID-19. A linear relationship was observed between the odds ratio (OR) and PNI and CONUT ( P  > 0.05). The area under the ROC curve indicated that PNI was the better predictor. The optimal cutoff value of PNI was 38.04 (95%CI: 0.797 ~ 0.836, AUC = 0.817), with a sensitivity of 70.7% and a specificity of 79.6%. The critical illness of elderly COVID-19 patients shows a linear relationship with malnutrition at admission. The use of PNI to assess the prognosis of COVID-19 eldeely patients is reliable, highlighting the importance for doctors to closely pay attention to the nutritional status of COVID-19 patients. Focusing on nutritional status in clinical practice can effectively reduce the critical illness of elderly COVID-19 patients.

•The indicator of malnutrition for acute ischemic stroke has not been established.•Prognostic value of the CONUT score has been reported in patients with malignant tumors.•The CONUT score was significantly associated with poor 3-mo outcomes in acute ischemic stroke.•The CONUT score could be a useful prognostic marker in acute ischemic stroke. Malnutrition is an independent risk factor for poor outcomes in patients with acute ischemic stroke. However, the indicator of malnutrition has not yet been established. We investigated the relationship between the Controlling Nutritional Status score, a useful prognostic measure of malnutrition in patients with cardiovascular diseases and malignant tumors, and functional outcomes in patients with acute ischemic stroke. Patients with acute ischemic stroke (n = 264, 71 ± 12 y old) were consecutively evaluated within 7 d of stroke onset. The Controlling Nutritional Status score was calculated from the serum albumin, total peripheral lymphocyte count, and total cholesterol; a Controlling Nutritional Status score of 5 to 12 was defined as malnutrition. Poor functional outcome was defined as a modified Rankin Scale score of 3 to 6 at 3 mo. Of the total cohort, 230 patients (87.1%) were assessed. The patients with poor functional outcome (n = 85) were older; had a lower body mass index; had a higher frequency of atrial fibrillation, chronic heart failure, and anemia; and had a lower frequency of dyslipidemia and a current smoking status. In addition, the Controlling Nutritional Status score and National Institutes of Health Stroke Scale score at admission were significantly higher for the patients with poor functional outcome. After multivariate analysis, adjusted for baseline characteristics, a Controlling Nutritional Status score of 5 to 12 was found to be independently associated with poor outcome (odds ratio: 4.15, 95% confidence interval: 1.52–11.67, P = 0.005). The Controlling Nutritional Status score at admission could be a useful prognostic marker of 3-mo functional outcomes in patients with acute ischemic stroke.

Malnutrition is common among severe patients with coronavirus disease 2019 (COVID-19), mainly elderly adults and patients with comorbidities. It is also associated with atypical presentation of the disease. Despite the possible contribution of malnutrition to the acquisition and severity of COVID-19, it is not clear which nutritional screening measures may best diagnose malnutrition in these patients at early stages. This is of crucial importance given the urgency and rapid progression of the disease in vulnerable groups. Accordingly, this review examines the available literature for different nutritional screening approaches implemented among COVID-19 patients, with a special focus on elderly adults. After a literature search, we selected and scrutinized 14 studies assessing malnutrition among COVID-19 patients. The Nutrition Risk Screening 2002 (NRS-2002) has demonstrated superior sensitivity to other traditional screening measures. The controlling nutritional status (CONUT) score, which comprises serum albumin level, cholesterol level, and lymphocytes count, as well as a combined CONUT-lactate dehydrogenase-C-reactive protein score expressed a predictive capacity even superior to that of NRS-2002 (0.81% and 0.92% vs. 0.79%) in midlife and elder COVID-19 patients. Therefore, simple measures based on routinely conducted laboratory investigations such as the CONUT score may be timely, cheap, and valuable alternatives for identifying COVID-19 patients with high nutritional risk. Mini Nutritional Assessment (MNA) was the only measure used to detect residual malnutrition and high malnutrition risk in remitting patients—MNA scores correlated with hypoalbuminemia, hypercytokinemia, and weight loss. Older males with severe inflammation, gastrointestinal symptoms, and pre-existing comorbidities (diabetes, obesity, or hypertension) are more prone to malnutrition and subsequently poor COVID-19 prognosis both during the acute phase and during convalescence. Thus, they are in need of frequent nutritional monitoring and support while detecting and treating malnutrition in the general public might be necessary to increase resilience against COVID-19.

Background As assessment tools of nutritional status, the controlling nutritional status (CONUT) and modified controlling nutritional status (mCONUT) score are associated with survival in various cancers. We aimed to investigate the association between the CONUT/mCONUT score’s prognostic value and survival time in patients with FIGO stage IIB–IIIB cervical cancer treated with radiotherapy. Methods In this retrospective study, 165 patients between September 2013 and September 2015 were analyzed, and the optimal CONUT/mCONUT score cut-off values were determined using receiver operating characteristic curves. Propensity score matching (PSM) was used to minimize selection bias. The Kaplan–Meier method and a Cox proportional hazard model were used to assess the CONUT/mCONUT score’s predictive value linked to survival time. Two nomograms were created to predict the overall survival (OS) and progression-free survival (PFS). Results The cut-off values for CONUT and mCONUT score were both 2. Five-year OS and PFS rates were higher in a low CONUT score group than in a high CONUT score group (OS: 81.1% vs. 53.8%, respectively, P  < 0.001; PFS: 76.4% vs. 48.2%, respectively; P  < 0.001). A high CONUT score was associated with decreased OS (hazard ratio (HR) 2.93, 95% CI 1.54–5.56; P  = 0.001) and PFS (HR 2.77, 95% CI 1.52–5.04; P  < 0.001). High CONUT scores influenced OS in the PSM cohort. A high mCONUT score was not associated with decreased OS and PFS in Cox regression analysis. Conclusion The CONUT score is a promising indicator for predicting survival in patients with cervical cancer receiving radiotherapy.

This retrospective study investigated the predictive value of the Controlling Nutritional Status (CONUT) score in patients with intermediate-stage hepatocellular carcinoma (HCC) who received transarterial chemoembolization (TACE). Nomograms were developed to predict progression-free and overall survival (PFS, OS). The medical data of 228 patients with HCC and treated with TACE were collected. The patients were apportioned to 2 groups according to CONUT score: low or high (<4, ≥4). Univariate and multivariate analyses were performed using Cox regression for OS and PFS. OS and PFS were estimated by the Kaplan-Meier curve and compared with the log-rank test. Nomograms were constructed to predict patient OS and PFS. The nomograms were evaluated for accuracy, discrimination, and efficiency. The cut-off value of CONUT score was 4. The higher the CONUT score, the worse the survival; Kaplan-Meier curves showed significant differences in OS and PFS between the low and high CONUT score groups (P = 0·033, 0·047). The nomograms including CONUT, based on the prognostic factors determined by the univariate and multivariate analyses, to predict survival in HCC after TACE were generated. The CONUT score is an important prognostic factor for both OS and PFS for patients with intermediate HCC who underwent TACE. The cut-off value of the CONUT score was 4. A high CONUT score suggests poor survival outcomes. Nomograms generated based on the CONUT score were good models to predict patient OS and PFS.