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

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...
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Autor*in:	Jingjing Ge [verfasserIn] Yaxin Lei [verfasserIn] Qing Wen [verfasserIn] Yue Zhang [verfasserIn] Xiaoshuang Kong [verfasserIn] Wenhua Wang [verfasserIn] Siyu Qian [verfasserIn] Huting Hou [verfasserIn] ZeYuan Wang [verfasserIn] Shaoxuan Wu [verfasserIn] Meng Dong [verfasserIn] Mengjie Ding [verfasserIn] Xiaolong Wu [verfasserIn] Xiaoyan Feng [verfasserIn] Linan Zhu [verfasserIn] Mingzhi Zhang [verfasserIn] Qingjiang Chen [verfasserIn] Xudong Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	follicular lymphoma prognostic nutritional index lymphocyte albumin prognosis

Übergeordnetes Werk:	In: Frontiers in Nutrition - Frontiers Media S.A., 2014, 9(2022)
Übergeordnetes Werk:	volume:9 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fnut.2022.981338

Katalog-ID:	DOAJ003306984

Internformat


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520			\|a 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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allfields	10.3389/fnut.2022.981338 doi (DE-627)DOAJ003306984 (DE-599)DOAJ2a4270bc12b5422084d38ed3ff198cfc DE-627 ger DE-627 rakwb eng TX341-641 Jingjing Ge verfasserin aut The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. follicular lymphoma prognostic nutritional index lymphocyte albumin prognosis Nutrition. Foods and food supply Yaxin Lei verfasserin aut Qing Wen verfasserin aut Yue Zhang verfasserin aut Xiaoshuang Kong verfasserin aut Wenhua Wang verfasserin aut Siyu Qian verfasserin aut Huting Hou verfasserin aut ZeYuan Wang verfasserin aut Shaoxuan Wu verfasserin aut Meng Dong verfasserin aut Mengjie Ding verfasserin aut Xiaolong Wu verfasserin aut Xiaoyan Feng verfasserin aut Linan Zhu verfasserin aut Mingzhi Zhang verfasserin aut Qingjiang Chen verfasserin aut Xudong Zhang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.981338 kostenfrei https://doaj.org/article/2a4270bc12b5422084d38ed3ff198cfc kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.981338/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
spelling	10.3389/fnut.2022.981338 doi (DE-627)DOAJ003306984 (DE-599)DOAJ2a4270bc12b5422084d38ed3ff198cfc DE-627 ger DE-627 rakwb eng TX341-641 Jingjing Ge verfasserin aut The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. follicular lymphoma prognostic nutritional index lymphocyte albumin prognosis Nutrition. Foods and food supply Yaxin Lei verfasserin aut Qing Wen verfasserin aut Yue Zhang verfasserin aut Xiaoshuang Kong verfasserin aut Wenhua Wang verfasserin aut Siyu Qian verfasserin aut Huting Hou verfasserin aut ZeYuan Wang verfasserin aut Shaoxuan Wu verfasserin aut Meng Dong verfasserin aut Mengjie Ding verfasserin aut Xiaolong Wu verfasserin aut Xiaoyan Feng verfasserin aut Linan Zhu verfasserin aut Mingzhi Zhang verfasserin aut Qingjiang Chen verfasserin aut Xudong Zhang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.981338 kostenfrei https://doaj.org/article/2a4270bc12b5422084d38ed3ff198cfc kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.981338/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
allfields_unstemmed	10.3389/fnut.2022.981338 doi (DE-627)DOAJ003306984 (DE-599)DOAJ2a4270bc12b5422084d38ed3ff198cfc DE-627 ger DE-627 rakwb eng TX341-641 Jingjing Ge verfasserin aut The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. follicular lymphoma prognostic nutritional index lymphocyte albumin prognosis Nutrition. Foods and food supply Yaxin Lei verfasserin aut Qing Wen verfasserin aut Yue Zhang verfasserin aut Xiaoshuang Kong verfasserin aut Wenhua Wang verfasserin aut Siyu Qian verfasserin aut Huting Hou verfasserin aut ZeYuan Wang verfasserin aut Shaoxuan Wu verfasserin aut Meng Dong verfasserin aut Mengjie Ding verfasserin aut Xiaolong Wu verfasserin aut Xiaoyan Feng verfasserin aut Linan Zhu verfasserin aut Mingzhi Zhang verfasserin aut Qingjiang Chen verfasserin aut Xudong Zhang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.981338 kostenfrei https://doaj.org/article/2a4270bc12b5422084d38ed3ff198cfc kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.981338/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
allfieldsGer	10.3389/fnut.2022.981338 doi (DE-627)DOAJ003306984 (DE-599)DOAJ2a4270bc12b5422084d38ed3ff198cfc DE-627 ger DE-627 rakwb eng TX341-641 Jingjing Ge verfasserin aut The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. follicular lymphoma prognostic nutritional index lymphocyte albumin prognosis Nutrition. Foods and food supply Yaxin Lei verfasserin aut Qing Wen verfasserin aut Yue Zhang verfasserin aut Xiaoshuang Kong verfasserin aut Wenhua Wang verfasserin aut Siyu Qian verfasserin aut Huting Hou verfasserin aut ZeYuan Wang verfasserin aut Shaoxuan Wu verfasserin aut Meng Dong verfasserin aut Mengjie Ding verfasserin aut Xiaolong Wu verfasserin aut Xiaoyan Feng verfasserin aut Linan Zhu verfasserin aut Mingzhi Zhang verfasserin aut Qingjiang Chen verfasserin aut Xudong Zhang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.981338 kostenfrei https://doaj.org/article/2a4270bc12b5422084d38ed3ff198cfc kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.981338/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
allfieldsSound	10.3389/fnut.2022.981338 doi (DE-627)DOAJ003306984 (DE-599)DOAJ2a4270bc12b5422084d38ed3ff198cfc DE-627 ger DE-627 rakwb eng TX341-641 Jingjing Ge verfasserin aut The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. follicular lymphoma prognostic nutritional index lymphocyte albumin prognosis Nutrition. Foods and food supply Yaxin Lei verfasserin aut Qing Wen verfasserin aut Yue Zhang verfasserin aut Xiaoshuang Kong verfasserin aut Wenhua Wang verfasserin aut Siyu Qian verfasserin aut Huting Hou verfasserin aut ZeYuan Wang verfasserin aut Shaoxuan Wu verfasserin aut Meng Dong verfasserin aut Mengjie Ding verfasserin aut Xiaolong Wu verfasserin aut Xiaoyan Feng verfasserin aut Linan Zhu verfasserin aut Mingzhi Zhang verfasserin aut Qingjiang Chen verfasserin aut Xudong Zhang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.981338 kostenfrei https://doaj.org/article/2a4270bc12b5422084d38ed3ff198cfc kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.981338/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
language	English
source	In Frontiers in Nutrition 9(2022) volume:9 year:2022
sourceStr	In Frontiers in Nutrition 9(2022) volume:9 year:2022
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	follicular lymphoma prognostic nutritional index lymphocyte albumin prognosis Nutrition. Foods and food supply
isfreeaccess_bool	true
container_title	Frontiers in Nutrition
authorswithroles_txt_mv	Jingjing Ge @@aut@@ Yaxin Lei @@aut@@ Qing Wen @@aut@@ Yue Zhang @@aut@@ Xiaoshuang Kong @@aut@@ Wenhua Wang @@aut@@ Siyu Qian @@aut@@ Huting Hou @@aut@@ ZeYuan Wang @@aut@@ Shaoxuan Wu @@aut@@ Meng Dong @@aut@@ Mengjie Ding @@aut@@ Xiaolong Wu @@aut@@ Xiaoyan Feng @@aut@@ Linan Zhu @@aut@@ Mingzhi Zhang @@aut@@ Qingjiang Chen @@aut@@ Xudong Zhang @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	790231158
id	DOAJ003306984
language_de	englisch
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callnumber-first	T - Technology
author	Jingjing Ge
spellingShingle	Jingjing Ge misc TX341-641 misc follicular lymphoma misc prognostic nutritional index misc lymphocyte misc albumin misc prognosis misc Nutrition. Foods and food supply The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China
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topic_title	TX341-641 The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China follicular lymphoma prognostic nutritional index lymphocyte albumin prognosis
topic	misc TX341-641 misc follicular lymphoma misc prognostic nutritional index misc lymphocyte misc albumin misc prognosis misc Nutrition. Foods and food supply
topic_unstemmed	misc TX341-641 misc follicular lymphoma misc prognostic nutritional index misc lymphocyte misc albumin misc prognosis misc Nutrition. Foods and food supply
topic_browse	misc TX341-641 misc follicular lymphoma misc prognostic nutritional index misc lymphocyte misc albumin misc prognosis misc Nutrition. Foods and food supply
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title	The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China
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title_full	The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China
author_sort	Jingjing Ge
journal	Frontiers in Nutrition
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author_browse	Jingjing Ge Yaxin Lei Qing Wen Yue Zhang Xiaoshuang Kong Wenhua Wang Siyu Qian Huting Hou ZeYuan Wang Shaoxuan Wu Meng Dong Mengjie Ding Xiaolong Wu Xiaoyan Feng Linan Zhu Mingzhi Zhang Qingjiang Chen Xudong Zhang
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doi_str_mv	10.3389/fnut.2022.981338
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title_sort	prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in china
callnumber	TX341-641
title_auth	The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China
abstract	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.
abstractGer	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.
abstract_unstemmed	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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title_short	The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China
url	https://doi.org/10.3389/fnut.2022.981338 https://doaj.org/article/2a4270bc12b5422084d38ed3ff198cfc https://www.frontiersin.org/articles/10.3389/fnut.2022.981338/full https://doaj.org/toc/2296-861X
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author2	Yaxin Lei Qing Wen Yue Zhang Xiaoshuang Kong Wenhua Wang Siyu Qian Huting Hou ZeYuan Wang Shaoxuan Wu Meng Dong Mengjie Ding Xiaolong Wu Xiaoyan Feng Linan Zhu Mingzhi Zhang Qingjiang Chen Xudong Zhang
author2Str	Yaxin Lei Qing Wen Yue Zhang Xiaoshuang Kong Wenhua Wang Siyu Qian Huting Hou ZeYuan Wang Shaoxuan Wu Meng Dong Mengjie Ding Xiaolong Wu Xiaoyan Feng Linan Zhu Mingzhi Zhang Qingjiang Chen Xudong Zhang
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doi_str	10.3389/fnut.2022.981338
callnumber-a	TX341-641
up_date	2024-07-03T17:13:30.255Z
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The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China

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