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OBJECTIVE@#To explore the prognostic factors of patients with multiple myeloma (MM) based on nutritional status.@*METHODS@#The Controlling Nutritional Status (CONUT) score and clinical parameters at diagnosis of 203 newly diagnosed MM patients hospitalized in the department of hematology, Wuxi People's Hospital from January 1, 2007 to June 30, 2019 were analyzed retrospectively. The best cut-off value was determined by ROC curve, and the patients were divided into high CONUT group (>6.5 points) and low CONUT group (≤6.5 points); through COX regression multivariate analysis of overall survival (OS) time, CONUT, ISS stage, LDH and treatment response were selected for multiparameter prognostic stratification.@*RESULTS@#The OS of MM patients in high CONUT group was shorter. The low-risk group (≤2 points) of the multiparameter risk stratification had longer OS time and progression-free survival (PFS) time compared with the high-risk group (>2 points), and it was also effective for different age or karyotype subgroups, new drug groups containing bortezomib and transplant-ineligible subgroup.@*CONCLUSION@#The risk stratification of MM patients based on CONUT, ISS stage, LDH and treatment response is worthy of clinical application.
Subject(s)
Humans , Nutritional Status , Prognosis , Multiple Myeloma , Retrospective Studies , Risk FactorsABSTRACT
【Objective】 To investigate the predictive value of preoperative controlled nutritional status (CONUT) score and ratio of hemoglobin to red cell distribution width (HRR) for survival of patients with upper urinary tract urothelial carcinoma (UTUC) after radical surgery. 【Methods】 A retrospective analysis was performed on 145 UTUC patients who underwent surgical treatment in the Affiliated Hospital of Xuzhou Medical University during May 2011 and Jun. 2017. Clinic opathologic data were collected, the best cut-off values of CONUT score and HRR were determined with receiver operating characteristic (ROC) curve, and the CONUT-HRR scoring system was established. The correlation between different CONUT-HRR scores and clinic opathological indicators of UTUC patients was compared. The application value of CONUT-HRR score in predicting the prognosis of UTUC patients was evaluated with Kaplan-Meier survival curve and Cox proportional risk regression model. 【Results】 The optimal cut-off values of preoperative CONUT score and HRR for predicting cancer specific survival (CSS) were 3 and 10.41, respectively. The patients were divided into three groups: CONUT-HRR 0 group (n=62, CONUT score <3 and HRR ≥10.41), CONUT-HRR 1 group (n=51, CONUT score <3 and HRR <10.41, or CONUT score ≥3 and HRR≥10.41), and CONUT-HRR 2 group (n=32, CONUT score ≥3 and HRR <10.41). CONUT-HRR score was correlated with age, surgical method, pathological T stage, lymph node metastasis and vascular invasion (all P<0.05). Kaplan-Meier survival curve results showed that the 5-year CSS of CONUT-HRR 0, 1 and 2 groups were 96.4%, 65.8% and 30.9%, respectively, with statistically significant differences (P<0.001). Cox regression model showed that CONUT-HRR score, pathological T stage, lymph node metastasis and vascular infiltration were independent factors of CSS. 【Conclusion】 Preoperative CONUT-HRR score can be used as a simple and reliable indicator to evaluate the prognosis of UTUC patients. Higher score indicates worse prognosis.
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Background: Coronavirus disease 2019 (COVID-19) pathology increases catabolism and depletes the protein stores, causing malnutrition. However, nutrition assessment in COVID-19 is often overlooked in the current pandemic. The Controlling Nutritional Status (CONUT) score is a validated score to assess nutritional status in hospitalized patients. The objective of the study was to estimate malnutrition among hospitalized adult patients with COVID-19 using the -The Controlling Nutritional Status (CONUT) score and study itseffect on the disease severity and outcomes. Methods:The study was a retrospective study on 146 patients with COVID-19. The history, demographic details were noted and the following parameters were noted at baseline and time of outcome-COVID-19 disease severity, radiological severity, CONUT score, inflammatory markers-serum LDH, CRP, Ferritin, D-Dimer. The outcome parameters-mortality, duration of hospital stay and severity of disease at outcome were measured. Results: Out of the 146 patients, 84 (57.53%) were male and 62 (42.47%) were female. 97.26% patients had malnutrition at baseline with 42 (28.77%) mild, 70 (47.95%) moderate and 30 (20.55%) severe malnutrition based on CONUT score. The CONUT scores were greater at outcome compared to baseline (p<0.001). Higher grades of malnutrition were associated with greater baseline and outcome disease severity (p<0.001), radiological severity (p<0.001), higher levels of inflammatory markers (p<0.001) and a higher mortality (p<0.001). However, there was no significant difference in duration of hospital stay (p=0.67).Conclusions: Malnutrition results in worse outcomes and greater mortality in COVID-19. Individual tailored nutritional support in the hospitalized COVID-19 patients, can thus potentially improve outcomes.
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PURPOSE: The controlling nutritional status (CONUT) score was developed to detect undernutrition in patients. Here, we investigated whether the CONUT score estimated at diagnosis could help predict poor outcomes [all-cause mortality, relapse, and end-stage renal disease (ESRD)] of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV). MATERIALS AND METHODS: We retrospectively reviewed and collated data, including baseline characteristics, clinical manifestations (to calculate AAV-specific indices), and laboratory results, from 196 newly diagnosed AAV patients. Serum albumin, peripheral lymphocyte, and total cholesterol levels (at diagnosis) were used to calculate CONUT scores. RESULTS: In total, 111 patients had high CONUT scores (≥3), which showed higher frequency of myeloperoxidase-ANCA and ANCA positivity, and demonstrated higher AAV-specific indices. The optimal cut-offs of CONUT score (at diagnosis) for predicting all-cause mortality and ESRD were ≥3.5 and ≥2.5, respectively. Patients with CONUT scores higher than the cut-off at diagnosis exhibited lower cumulative and ESRD-free survival rates compared to those with lower scores than the cut-off. In multivariable analyses, diabetes mellitus [hazard ratio (HR): 4.394], five-factor score (HR: 3.051), and CONUT score ≥3.5 (HR: 4.307) at diagnosis were independent predictors of all-cause mortality, while only serum creatinine (HR: 1.714) was an independent predictor of ESRD occurrence. CONCLUSION: CONUT score at diagnosis is associated with all-cause mortality in AAV patients.