Easier and more explanatory indices by integrating leukocyte lymphocyte ratio (LLR) and prognostic nutritional index (PNI) to IPS systems in cases with classical Hodgkin lymphoma

Paydaş, Semra; Laçin, Şahin; Doğan, Mutlu; Barışta, İbrahim; Yıldız, Birol; Şeydaoğlu, Gülşah; Karadurmuş, Nuri; Civriz, Sinem; Kaplan, Muhammed Ali; Yağcı, Münci; Dinçyürek, Hüseyin Derya; Erçolak, Vehbi

doi:10.1016/j.leukres.2021.106586

Cited by 8 publications

(9 citation statements)

References 22 publications

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“…24,25 PNI, a feasible tool for assessing the relationship between immunonutritional status and prognosis of patients has been widely used in acute heart failure, esophageal cancers and lymphoma. 10,[26][27][28] In this study, we confirmed that PNI was an independent factor for predicting the survival of DLBCL, and we calculated the optimal cut-off point of PNI. According to the maximal chi-square method, 44 was the optimal cut-off point that distinguished between two prognostic groups most effectively, which was close to the results of previous studies.…”

Section: Discussionsupporting

confidence: 66%

The Value of Prognostic Nutritional Index (PNI) on Newly Diagnosed Diffuse Large B-Cell Lymphoma Patients: A Multicenter Retrospective Study of HHLWG Based on Propensity Score Matched Analysis

Shen¹,

Wang²,

He³

et al. 2021

JIR

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Immunonutritional status is associated with the survival of DLBCL. This multicenter retrospective study aimed to explore the prognostic value of Prognostic Nutrition Index (PNI) in DLBCL patients by using propensity score matched analysis (PSM). Methods: A total of 990 DLBCL cases were recruited from 5 centers of Huaihai Lymphoma Working Group (HHLWG). A 1:1 PSM analysis was performed using the nearest-neighbor method, with a caliper size of 0.02. Cox regression analysis was used to examine factors associated with survival. Results:The median age at diagnosis was 62 years and 52.5% were males, with the 3-y overall survival of 65.1%. According to the MaxStat analysis, 44 was the optimal cutoff point of PNI. After PSM analysis, a total of 282 patients in PNI < 44 group could be propensity matched to PNI ≥ 44 patients, creating a group of 564 patients. Multivariable analysis revealed that PNI, age, central nervous system involvement and International Prognostic Index (IPI) were independent prognostic factors for DLBCL. Kaplan-Meier analysis indicated that patients with low PNI in Ann Arbor Stage (III/VI), ECOG (<2), IPI (LR+LIR), GCB, and BCL-2 negative groups had a poor prognosis. Discussion: PNI could accurately stratify the prognosis of DLBCL after PSM analysis.

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Section: Discussionsupporting

confidence: 66%

The Value of Prognostic Nutritional Index (PNI) on Newly Diagnosed Diffuse Large B-Cell Lymphoma Patients: A Multicenter Retrospective Study of HHLWG Based on Propensity Score Matched Analysis

Shen¹,

Wang²,

He³

et al. 2021

JIR

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“…It is well known that the nutritional status of the body can lead to dysfunctional immune function, promoting tumor proliferation and progression. The PNI calculated from the serum albumin level and peripheral blood lymphocyte count is now widely considered to be associated with the prognosis of patients with some solid malignant tumors and hematological malignancies (28)(29)(30).…”

Section: Discussionmentioning

confidence: 99%

The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China

Lei²,

Wen³

et al. 2022

Front. Nutr.

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ObjectiveThe prognostic nutritional index (PNI) is an important prognostic factor for survival outcomes in various hematological malignancies. The current study focused on exploring the predictive value of the PNI in newly diagnosed follicular lymphoma (FL) in China.Materials and methodsThe clinical indicators and follow-up data of 176 patients who received chemotherapy or immunotherapy combined with chemotherapy with FL in our hospital from January 2016 to March 2022 were retrospectively analyzed. Cox proportional hazard model was used for univariate and multivariate analyses. Kaplan–Meier curves were used to calculate survival rates and draw survival curves. The log-rank test was applied to compare differences between groups.ResultsThe optimal cut-off value of PNI was 44.3. All patients were divided into a high PNI group (>44.3) and a low PNI group (≤44.3). The low PNI group had a low CR rate and a high risk of death, with a tendency toward POD24, and Both OS and PFS were worse than those in the high PNI group. PNI was able to predict OS and PFS in FL patients and was the only independent predictor of OS (P = 0.014 HR 5.024; 95%CI 1.388∼18.178) in multivariate analysis. PNI could re-stratify patients into groups of high FLIPI score, high FLIPI2 score, no POD24, and rituximab combined with chemotherapy. Moreover, integrating PNI into the FLIPI and FLIPI2 models improved the area under the curve (AUC) for more accurate survival prediction and prognosis.ConclusionPNI is a significant prognostic indicator for newly diagnosed FL in China that can early identify patients with poor prognosis and guide clinical treatment decisions.

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“…While PET has an important role in determining the therapeutic response in the middle of treatment [22], and thus contributes to adapting the remainder of the treatment according to the initial response of each patient. Here, its limitations appear that it has not been used to determine the initial prognosis for each patient [23] and therefore does not contribute to making the initial therapeutic decision. Determining the prognosis at the time of diagnosis is more important than in the middle of the treatment, as it will depend on the selection of the most appropriate treatment protocol for the patient that achieves recovery with minimal exposure to treatment side effects.…”

Section: Discussionmentioning

confidence: 99%

“…All patients were met the following criteria: pathologically con rmed cHL based on immunohistochemistry IHC),age more than 16 years, they haven't previous treatment, no previous history of malignancy, transplantation or immunosuppression, no human immune de ciency virus infection and treatment with combination Chemotherapy (ABVD) with Radiation. Therapeutic decision was made based on the EORTC classi cation, patients with early stage favorable HL (stages I,II without risk factors) treated with 2 cycles of ABVD and radiotherapy therapy (20-30 Gy), patients with early stage unfavorable HL (stages I,II with risk factors) treated with 4 cycles of ABVD and radiotherapy therapy (20-30 Gy) and patients with advanced stage HL (stages III,IV) treated with 6 cycles of ABVD and radiotherapy therapy (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30).…”

Section: Methodsmentioning

confidence: 99%

Comparison of ALC, LMR and IPS in predicting Prognosis in Hodgkin lymphoma

Khalil

Hussein

Samra

2022

Preprint

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Background Hodgkin lymphoma is a highly treatable malignancy. However, there are many patients who relapse or are refractory to treatment. This explains the amount of studies and attention focused on determining prognosis and predicting the response to the treatment. This study aims to compare between absolute lymphocyte count, lymphocyte/monocyte ratio and international prognostic score in terms of their effectiveness in predicting prognosis of HL in the modern era. Methods A prospective cohort study of 84 patients with HL was carried out. Complete blood count and serum Albumin assay were performed at the time of diagnosis and before treatment given. The end points were Response to treatment, Progression Free Survival (PFS) and Overall Survival (OS). Results There was a difference in terms of therapeutic response between patients with LMR < 2.9 and LMR ≥ 2.9 when studying the entire patients. When examining the advanced disease group, a difference was found between patients with IPS < 3 and IPS ≥ 3 in terms of their response to treatment. There was a difference in progression-free survival between the high and low LMR group when studying the early disease group and the whole sample. By studying the entire cohort, we found a difference in overall survival between the two groups: LMR < 2.9 and LMR ≥ 2.9. Conclusions LMR has efficacy in predicting therapeutic response, 18-month PFS and 18-month OS in the state of the entire cohort. IPS can be used as an effective predictor of therapeutic response in advanced disease.

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Easier and more explanatory indices by integrating leukocyte lymphocyte ratio (LLR) and prognostic nutritional index (PNI) to IPS systems in cases with classical Hodgkin lymphoma

Cited by 8 publications

References 22 publications

The Value of Prognostic Nutritional Index (PNI) on Newly Diagnosed Diffuse Large B-Cell Lymphoma Patients: A Multicenter Retrospective Study of HHLWG Based on Propensity Score Matched Analysis

The Value of Prognostic Nutritional Index (PNI) on Newly Diagnosed Diffuse Large B-Cell Lymphoma Patients: A Multicenter Retrospective Study of HHLWG Based on Propensity Score Matched Analysis

The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China

Comparison of ALC, LMR and IPS in predicting Prognosis in Hodgkin lymphoma

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