The prognostic value of controlling nutritional status (CONUT) score–based nomogram on extranodal natural killer/T cell lymphoma patients

Zhang, Shuo; Sun, Cai; Chen, Xicheng; Li, Dashan; Hu, Lingling; Zhang, Meng; Zhang, Xudong; Zhang, Hao; Ye, Jingjing; Jia, Tan; Zhu, Taigang; Miao, Yuqing; Wang, Liang; Yan, Dongmei; Shen, Ziyuan; Sang, Wei

doi:10.1007/s00277-023-05232-3

Cited by 4 publications

(5 citation statements)

References 45 publications

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“…Data for meta-analysis on OS were available from all studies. Zhang et al ( 39 ) did not report HR based on a specific CONUT cutoff and used the score as a continuous variable. Hence, their study was not included in the meta-analysis.…”

Section: Resultsmentioning

confidence: 99%

The controlling nutritional status score as a predictor of survival in hematological malignancies: a systematic review and meta-analysis

Lu,

2024

Front. Nutr.

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ObjectiveThe controlling nutritional status score (CONUT) has been widely used for ascertaining the prognosis of various cancers. However, its use in patients with hematological malignancies remains unclear. This review examined evidence on the utility of CONUT as a prognostic marker for patients with hematological malignancies.MethodsAll cohort studies that examined the association between CONUT and outcomes of hematological malignancies and were published on the databases of Embase, Scopus, CENTRAL, Web of Science, and PubMed were searched from the inception of the databases to 30 January 2024. The primary outcome was overall survival (OS), and the secondary outcome was progression-free survival (PFS).ResultsA total of 23 studies were available for review. A meta-analysis of 22 studies showed that high CONUT was significantly associated with poor OS in patients with hematological malignancies (HR: 1.95 95% CI: 1.62, 2.35 I2 = 89%). The results remained unchanged on sensitivity and subgroup analyses based on study location, sample size, diagnosis, CONUT cutoff, and the Newcastle–Ottawa Scale score. Only six studies reported data on PFS, and the pooled analysis found that high CONUT was a significant marker for poor PFS in patients with hematological malignancies [hazards ratio (HR): 1.64 95% CI: 1.21, 2.20 I2 = 70%]. These results, too, maintained significance in the sensitivity analysis.ConclusionCONUT is an independent predictor of poor OS in patients with hematological malignancies. The results appear to be valid across different cancer types and with different CONUT cutoffs. Scarce data also suggest that CONUT could predict PFS.

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Section: Resultsmentioning

confidence: 99%

The controlling nutritional status score as a predictor of survival in hematological malignancies: a systematic review and meta-analysis

Lu,

2024

Front. Nutr.

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“…30 However, the prognostic system is The results showed that the CONUT score was more efficient in predicting ENKTL prognosis than the IPI, KPI and PINK models. 13 However, this study mainly focused on the impact of nutritional status on patient prognosis, while the impact of inflammation and immune status on patient prognosis was not further investigated. ENKTL is a distinct subtype of non-Hodgkin's lymphoma (NHL) frequently characterized by prominent necrosis and inflammation.…”

Section: Discussionmentioning

confidence: 99%

“…9,10 Many studies have reported that the ratios of different peripheral blood mononuclear subtypes, such as the neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet-lymphocyte ratio (PLR), and monocyte to leukocyte ratio (MWR), play an important role in predicting the prognosis of patients with various cancers. [11][12][13][14] High-sensitivity C-reactive protein (hs-CRP) is a critical inflammatory-related protein synthesized by the liver and has been shown to affect patient survival in hepatocellular carcinoma and nasopharyngeal carcinoma. [15][16][17] The levels of serum albumin (ALB) intuitively reflect the nutritional status of individuals and have been confirmed to be an effective tool for predicting the outcomes of patients with gastric cancer and haematological malignancy.…”

Section: Introductionmentioning

confidence: 99%

A Nomogram Model Based on the Inflammation-Immunity-Nutrition Score (IINS) and Classic Clinical Indicators for Predicting Prognosis in Extranodal Natural Killer/T-Cell Lymphoma

He,

Luo,

Chen

et al. 2024

JIR

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Background Systemic inflammation, immunity, and nutritional status are closely related to patients’ outcomes in several kinds of cancers. This study aimed to establish a new nomogram based on inflammation-immunity-nutrition score (IINS) to predict the prognosis of extranodal natural killer/T-cell lymphoma (ENKTL) patients. Methods The clinical data of 435 patients with ENTKL were retrospectively reviewed and randomly assigned to training cohort (n=305) and validation cohort (n=131) at a ratio of 7:3. Cox regression analysis was employed to identify independent prognostic factors and develop a nomogram in the training cohort. Harrell’s concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) curve were employed to assess the performance of the nomogram and compare it with traditional prognostic systems (PINK, IPI, KPI). Internal validation was performed using 1000 bootstrap resamples in the validation cohort. Kaplan-Meier survival analyses were conducted to compare the overall survival (OS) of patients in different risk groups. Results In the training cohort, in addition to several classic parameters, IINS was identified as an independent prognostic factor significantly associated with the OS of patients. The nomogram established based on the independent prognostic indicators showed superior survival prediction efficacy, with C-index of 0.733 in the training cohort and 0.759 in the validation cohort compared to the PINK (0.636 and 0.737), IPI (0.81 and 0.707), and KPI (0.693 and 0.639) systems. Furthermore, compared with PINK, IPI, and IPI systems, the nomogram showed relatively superior calibration curves and more powerful prognostic discrimination ability in predicting the OS of patients. DCA curves revealed some advantages in terms of clinical applicability of the nomogram compared to the PINK, IPI, and IPI systems. Conclusion Compared with traditional prognostic systems, the nomogram showed promising prospects for risk stratification in ENKTL patient prognosis, providing new insights into the personalized treatment.

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“…Plenty of studies are researching gastrointestinal, [ 13 , 14 , 24 ] cardiovascular, [ 10 , 18 ] urogenital, [ 19 ] cerebrovascular, [ 12 ] hematopoietic [ 11 , 25 ] system disorders, oncological malignancies, [ 9 , 26 – 28 ] and nutritional status. To the best of our knowledge, our study is the first to systematically evaluate the indications for intensive care unit hospitalization and compare them with the nutritional score.…”

Section: Discussionmentioning

confidence: 99%

Assessment of nutritional status and clinical outcomes: A comprehensive retrospective analysis of critically ill patients

Özkan,

Koca,

Tekeli

2023

Medicine

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Assessing nutritional status is vital for understanding and managing patients’ clinical conditions. Controlling Nutritional Status (CONUT) score is one of the most frequently used scores that evaluate caloric status, protein reserve, and immunological response estimation. This study assesses the critically ill patients’ nutritional status and its relationship with patient-related factors and mortality. Electronic medical records of 1687 Intensive Care Unit (ICU) patient files were reviewed from January 2019 to May 2023 retrospectively. Patient demographic information, clinical characteristics, and laboratory data were extracted and anonymized for analysis. The patients were divided according to the CONUT scores, and retrieved data were compared. The study population’s demographic features and clinical outcomes were stratified by CONUT scores. The gender distribution was similar; however, there was a significant age difference between the Low-CONUT and High-CONUT groups (P < .001). High CONUT values are linked to an increased risk of death, intubation, age, APACHE-II scores, and the number of comorbidities. Malnutrition is prevalent in ICU patients with gastrointestinal illnesses and urogenital system disorders, including infections. Patients with a high CONUT score at admission had an increased risk of ICU death even after correcting for covariates. The CONUT score is a trustworthy and practical tool for assessing ICU patients’ nutritional status, which is highly associated with ICU mortality. Patients admitted to the ICU with gastrointestinal, urogenital, or infectious disorders should have their nutritional condition assessed carefully. According to our study, the rate of intubated patients admitted to the intensive care unit is higher in malnourished patients. This suggests it should be reviewed in clinical settings, particularly in elderly, frail patients and those with numerous comorbidities.

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The prognostic value of controlling nutritional status (CONUT) score–based nomogram on extranodal natural killer/T cell lymphoma patients

Cited by 4 publications

References 45 publications

The controlling nutritional status score as a predictor of survival in hematological malignancies: a systematic review and meta-analysis

The controlling nutritional status score as a predictor of survival in hematological malignancies: a systematic review and meta-analysis

A Nomogram Model Based on the Inflammation-Immunity-Nutrition Score (IINS) and Classic Clinical Indicators for Predicting Prognosis in Extranodal Natural Killer/T-Cell Lymphoma

Assessment of nutritional status and clinical outcomes: A comprehensive retrospective analysis of critically ill patients

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