Literature DB >> 29624824

Prognostic value of nutritional risk screening 2002 scale in nasopharyngeal carcinoma: A large-scale cohort study.

Hao Peng1, Bin-Bin Chen2, Ling-Long Tang1, Lei Chen1, Wen-Fei Li1, Yuan Zhang1, Yan-Ping Mao1, Ying Sun1, Li-Zhi Liu3, Li Tian3, Ying Guo4, Jun Ma1.   

Abstract

Little is known about the value of the nutritional risk screening 2002 (NRS2002) scale in nasopharyngeal carcinoma (NPC). We conducted a large-scale study to address this issue. We employed a big-data intelligence database platform at our center and identified 3232 eligible patients treated between 2009 and 2013. Of the 3232 (12.9% of 24 986) eligible patients, 469 (14.5%), 13 (0.4%), 953 (29.5%), 1762 (54.5%) and 35 (1.1%) had NRS2002 scores of 1, 2, 3, 4 and 5, respectively. Survival outcomes were comparable between patients with NRS2002 <3 and ≥3 (original scale). However, patients with NRS2002 ≤3 vs >3 (regrouping scale) had significantly different 5-year disease-free survival (DFS; 82.7% vs 75.0%, P < .001), overall survival (OS; 88.8% vs 84.1%, P = .001), distant metastasis-free survival (DMFS; 90.2% vs 85.9%, P = .001) and locoregional relapse-free survival (LRRFS; 91.6% vs 87.2%, P = .001). Therefore, we proposed a revised NRS2002 scale, and found that it provides a better risk stratification than the original or regrouping scales for predicting DFS (area under the curve [AUC] = 0.530 vs 0.554 vs 0.577; P < .05), OS (AUC = 0.534 vs 0.563 vs 0.582; P < .05), DMFS (AUC = 0.531 vs 0.567 vs 0.590; P < .05) and LRRFS (AUC = 0.529 vs 0.542 vs 0.564; P < .05 except scale A vs B). Our proposed NRS2002 scale represents a simple, clinically useful tool for nutritional risk screening in NPC.
© 2018 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

Entities:  

Keywords:  intensity-modulated radiotherapy; nasopharyngeal carcinoma; nutritional risk screening 2002; prognosis; supportive care

Mesh:

Year:  2018        PMID: 29624824      PMCID: PMC5989749          DOI: 10.1111/cas.13603

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


INTRODUCTION

The nasopharygeal epithelial carcinoma (NPC) has distinct epidemiology and treatment regimens from other head and neck cancers. The age‐standardized incidence of NPC is 20‐50 per 100 000 males in endemic areas such as southern China1, 2 but only 0.5 per 100 000 in predominantly white populations.2 Radical surgery is not an option due to anatomical constraints; radiotherapy is the primary and only curative treatment for non‐metastatic disease, which is highly radiosensitive, while radiotherapy combined with chemotherapy is standard for advanced disease.3, 4, 5, 6, 7 As the oral mucosa is unavoidably included in the radiation target volume, severe oral mucositis frequently disrupts oral function and integrity,8 and can cause severe pain and reduce nutritional intake, resulting in significant weight loss. Weight loss and poor nutritional status are associated with more severe toxicities during chemotherapy9 and radiotherapy10 and a poorer response to infection,11 and adversely affect prognosis in head and neck cancers.11 In addition, numerous studies have demonstrated that poor nutrition or weight loss are associated with poorer survival outcomes in NPC.12, 13, 14, 15 Therefore, nutrition and weight loss are major concerns for both clinicians and patients with NPC. However, previous studies have only assessed a single index (i.e. a prognostic nutritional index or weight), without considering disease or baseline characteristics, and could not adequately identify patients at risk of poor nutrition and weight loss. Thus, a tool that enables early identification of the high‐risk subpopulation for delivery of nutritional interventions needs to be developed urgently. The nutritional risk screening 2002 (NRS2002) scale, developed by the European Society for Clinical Nutrition and Metabolism (ESPEN),16 has been validated for identifying patients at risk who may benefit from nutritional intervention in various cancers,17, 18 including head and neck cancers.19 However, the NRS2002 has never been applied in NPC. Given the urgent clinical need, we conducted a retrospective study using a large‐scale, big‐data intelligence platform to assess the value of the NRS2002 for identifying individuals at high risk of poor nutrition in NPC among patients treated with intensity‐modulated radiotherapy (IMRT).

MATERIALS AND METHODS

Participants

We employed a big‐data intelligence database, which has been described in detail previously20 (Yiducloud Technology, Beijing, China), at Sun Yat‐sen University Cancer Center to identify eligible patients between 2009 and 2013 (Figure S1). Inclusion criteria were: (i) newly diagnosed non‐disseminated NPC; (ii) World Health Organization (WHO) pathology type II/III; (iii) Karnosfky performance score ≥70; (iv) receiving IMRT; (v) if receiving concurrent chemotherapy, single‐agent cisplatin only; (vi) weekly assessment of weight and biochemical profiles; and (vii) no other malignancies or previous radiotherapy or chemotherapy. This study was approved by the Research Ethics Committee of Sun Yat‐sen University Cancer Center. Informed consent was obtained from all patients before treatment.

Staging workup

All patients underwent head and neck physical examinations, direct fibre‐optic nasopharyngoscopy, MRI scan of skull to sternoclavicular joint, chest radiography or computed tomography (CT), abdominal sonography and whole‐body bone scans. PET‐CT was performed to evaluate metastasis, if clinically indicated. All patients received routine dental evaluations before radiotherapy. Local tumor extension (T category) and lymph node metastasis (N category) of patients were re‐staged according to the 8th edition of the International Union against Cancer/American Joint Committee on Cancer (UICC/AJCC) tumor‐node‐metastasis system. Two radiologists (L.Z.L and L.T) employed at our hospital with over 10 years’ experience separately reviewed all imaging data to minimize heterogeneity in restaging; disagreements were resolved by consensus.

NRS2002 assessment

Nutritional risk during radiotherapy was assessed according to the NRS2002 scale (Table S1), which takes into account severity of disease (mild, moderate and severe) and impaired nutritional status (mild, moderate and severe), with an adjustment for age of ≥70 years. Two doctors (H.P and B.B.C) from the radiation oncology and medical oncology departments independently reviewed patients’ medical history, weekly height and weight, weekly blood and biochemical profiles and food intake to determine the NRS2002 score for each patient. For the sections on “severity of disease” and “age,” patients were scored before radiotherapy according to the individual medical history and age records. For “impaired nutritional status,” patients were scored weekly after the beginning of radiotherapy according to weight, body mass index (BMI) or food intake change. The highest score of each patient was selected for subsequent analysis. A score of ≥3 indicated nutritional impairment. Discrepancies were resolved by consensus or in collaboration with a third expert (J.M) with over 30 years of experience in head and neck cancer.

Clinical treatment and nutritional intervention

All patients received radical IMRT using the simultaneous integrated boost technique at our center.21, 22 Target volumes were delineated based on MRI or PET/CT. The prescribed dose was 66‐70 Gy at 2.12‐2.27 Gy/fraction to planning target volume (PTV) of nasopharyngeal gross tumor volume (GTVnx), 64‐70 Gy to PTV of GTV of metastatic lymph nodes (GTVnd), 60‐63 Gy to PTV of high‐risk clinical target volume (CTV1) and 50‐56 Gy to PTV of low‐risk clinical target volume (CTV2). Radiotherapy alone was usually recommended for patients with stage I disease, concurrent chemoradiotherapy (CCRT) for stage II, and CCRT with or without induction chemotherapy (IC) for stage III‐IVB. IC consisted of cisplatin‐based regimens including docetaxel with cisplatin (TP), fluorouracil with cisplatin (PF), or docetaxel plus cisplatin with fluorouracil (TPF) every 3 weeks for 2‐4 cycles. Concurrent chemotherapy was tri‐weekly or weekly cisplatin. A nutritional intervention plan was not routinely scheduled before treatment for any patient. Nutritional interventions were delivered if malnutrition occurred according to the guidelines of our center. For patients with poor appetite but normal swallowing function, enteral nutrition, such as ENSURE (Nestle, Switzerland, Vevey), was recommended. For patients with severe oral pain who could not swallow, parenteral nutrition was delivered for 3 consecutive days. Nasogastric feeding was not possible, as the patients could not accept a nasogastric tube.

Follow‐up and endpoints

Follow‐up duration was measured from day of diagnosis to last visit or death. Conventional follow‐up included head and neck MRI, plasma Epstein‐Barr virus DNA, abdominal sonography, chest radiography or CT, whole bone scan, and PET/CT if necessary, at least every 3‐6 months during the first 2 years, then every 6‐12 months thereafter (or until death). Endpoints included disease‐free survival (DFS, time from diagnosis to treatment failure or death), overall survival (OS, to death from any cause), distant metastasis‐free survival (DMFS, to distant metastasis) and locoregional relapse‐free survival (LRRFS, to local or regional recurrence, or both).

Statistical methods

The χ2‐test or Fisher's exact test were used to compare categorical variables and a non‐parametric test was used for continuous variables. Multivariate logistic regression analysis was used to identify factors associated with NRS2002 score. Propensity score matching (PSM)23 was performed via logistic regression for each patient to balance various factors between different NRS2002 score groups. The caliper was set at 0.01 to achieve satisfactory matching. Life‐table estimation was performed using the Kaplan–Meier method to compare survival outcomes, and differences were evaluated using the log‐rank test. A multivariate Cox proportional hazards model was used to estimate hazard ratios (HR), 95% confidence intervals (CI) and independent prognostic factors: age, gender, smoking, drinking, family history of cancer, lactate dehydrogenase (LDH), T category, N category, overall stage, IC, cumulative cisplatin dose (CCD) and NRS2002 score. Receiver operating characteristics (ROC) curve analysis was adopted to compare the predictive power of different scales for clinical endpoints, and the difference was compared by Z‐test. Statistical analysis was performed with the Statistical Package for the Social Science, version 20.0 (SPSS, Chicago, IL, USA) and MedCalc (MedCalc Software, Ostend, Belgium). Two‐sided P < .05 indicated a statistically significant difference.

RESULTS

Patient selection

Searches of the big‐data platform using the keyword “nasopharyngeal carcinoma” identified 24 986 patients treated between 2009 and 2013. After reviewing the medical records thoroughly, 3232 (12.9%) patients were eligible for this study (Figure S2), with a median age of 45 years (3‐79 years) and male‐to‐female ratio of 2.98. In total, 469 (14.5%), 13 (0.4%), 953 (29.5%), 1762 (54.5%) and 35 (1.1%) patients had NRS2002 scores of 1, 2, 3, 4 and 5, respectively. The associations between NRS2002 score and severity of disease, impaired nutritional status and age are presented in Table S2. Obviously, most patients (2750/3232; 85.1%) suffered nutritional impairment; therefore, patients were subdivided into low‐risk (NRS2002 < 3, n = 482) and high‐risk (NRS ≥ 3, n = 2750) groups using established NRS2002 score cut‐off values. The baseline characteristics of these groups are compared in Table 1. The high‐risk group had significantly more patients with advanced T category (P < .001), N category (P < .001) and overall stage (P < .001). Consequently, the high‐risk group were more likely to receive more intensive treatment such as IC (P < .001) or concurrent cisplatin (P < .001). All other factors were well‐balanced between the low‐risk and high‐risk groups.
Table 1

Baseline characteristics between low‐risk and high‐risk groups among the 3232 patients

CharacteristicsLow‐risk (NRS2002 < 3) N = 482High‐risk (NRS2002 ≥ 3) N = 2750 P‐value
Number (%)Number (%)
Median age (y, range)44 (7‐79)45 (3‐78).235a
Gender
Male375 (77.8)2046 (74.4).112b
Female107 (22.2)704 (25.6)
Smoking
Yes165 (34.2)968 (35.2).84b
No317 (65.8)1781 (64.8)
Drinking
Yes82 (17.0)383 (13.9).075b
No400 (83.0)2367 (86.1)
Family history of cancer
Yes147 (30.5)733 (26.7).08b
No335 (69.5)2017 (73.3)
LDH (U/L)170 (84‐1721)173 (39‐753).694a
Induction chemotherapy
Yes194 (40.2)1460 (53.1)<.001b
No288 (59.8)1290 (46.9)
Median CCD (mg/m2, range)100 (0‐300)160 (0‐300)<.001a
T categoryc
T1110 (22.8)332 (12.0)<.001b
T2100 (20.7)475 (17.3)
T3199 (41.3)1374 (50.0)
T473 (15.2)569 (20.7)
N categoryc
N0135 (28.0)318 (11.6)<.001b
N1241 (50.0)1424 (51.8)
N285 (17.6)698 (25.4)
N321 (4.4)310 (11.2)
Overall stagec
I56 (11.6)90 (3.3)<.001b
II132 (27.4)436 (15.9)
III205 (42.5)1401 (50.9)
IVA‐B89 (18.5)823 (29.9)
BMI (kg/m2)
Underweight (<18.5)37 (7.7)207 (7.5).751
Normal weight (18.5‐22.99)199 (41.3)1196 (43.5)
Overweight (23.0‐27.49)207 (42.9)1112 (40.4)
Obese (≥27.5)39 (8.1)235 (8.6)
Albumin (g/L)
<45.4230 (47.7)1378 (50.1).333
≥45.4252 (52.3)1372 (49.9)
Hemoglobin (g/L)
<144235 (48.8)1364 (49.6).732
≥144247 (51.2)1386 (50.4)
High blood pressure
Yes40 (8.3)262 (9.5).393
No442 (91.7)2488 (90.5)
Chronic hepatitis B virus
Yes49 (10.2)331 (12.0).240
No433 (89.8)2419 (88.0)
Diabetes
Yes15 (3.1)109 (4.0).369
No467 (96.9)2641 (96.0)
Cardiovascular disease
Yes10 (2.1)58 (2.1).961
No472 (97.9)2692 (97.9)

BMI, body mass index; CCD, cumulative cisplatin dose during radiotherapy; LDH, lactate dehydrogenase; NRS, nutritional risk screening.

P‐values were calculated by non‐parametric test.

P‐values were calculated by χ2‐test.

According to the 7th edition of International Union against Cancer/American Joint Committee on Cancer tumor‐node‐metastasis staging system.

Baseline characteristics between low‐risk and high‐risk groups among the 3232 patients BMI, body mass index; CCD, cumulative cisplatin dose during radiotherapy; LDH, lactate dehydrogenase; NRS, nutritional risk screening. P‐values were calculated by non‐parametric test. P‐values were calculated by χ2‐test. According to the 7th edition of International Union against Cancer/American Joint Committee on Cancer tumor‐node‐metastasis staging system.

Factors associated with NRS2002 score

Multivariate logistic regression was used to identify factors associated with NRS2002 score in NPC (Table 2). N category (P < .05 for all) and overall stage (P < .05 for all) were strongly associated with NRS2002 score, with more advanced stage related to a higher NRS2002 score. IC (OR, 1.239; 95% CI, 1.084‐1.559; P = .048) and higher CCD during radiotherapy (OR, 1.003; 95% CI, 1.002‐1.004; P < .001) were also associated with a higher NRS2002 score, indicating that IC may contribute to impaired nutritional status. Intriguingly, alcohol consumption (OR, 1.417; 95% CI, 1.080‐1.858; P = .012) was also correlated with impaired nutritional status.
Table 2

Results of multivariate logistic regression in identifying the factors associated with NRS2002 score

NRS2002 scoreVariable B P‐valuea OR (95% CI)
<3 or ≥3Drinking: yes vs no0.348.0121.417 (1.080‐1.858)
N category: N1 vs N00.608<.0011.836 (1.359‐2.482)
N category: N2 vs N00.742<.0012.101 (1.458‐3.027)
N category: N3 vs N01.237<.0013.444 (1.949‐6.085)
Overall stage: II vs I−0.008.9730.992 (0.627‐1.570)
Overall stage: III vs I0.499.0321.647 (1.043‐2.601)
Overall stage: IV vs I0.544.0381.723 (1.029‐2.883)
Induction chemotherapy: yes vs no0.214.0481.239 (1.084‐1.559)
CCD (continuous variable)0.003<.0011.003 (1.002‐1.004)

CCD, cumulative cisplatin dose during radiotherapy; CI, confidence interval; NRS, nutritional risk screening; OR, odds ratio.

P‐values were calculated by binary logistic regression with backward elimination and the following variables: gender (male vs female), family history of cancer (yes vs no), smoking (yes vs no), drinking (yes vs no), T category (T2 vs T1; T3 vs T1; T4 vs T1), N category (N1 vs N0; N2 vs N0; N3 vs N0), overall stage (II vs I; III vs I; IV vs I), induction chemotherapy (yes vs no) and cumulative cisplatin dose (continuous variable, per‐mg/m2 increase).

Results of multivariate logistic regression in identifying the factors associated with NRS2002 score CCD, cumulative cisplatin dose during radiotherapy; CI, confidence interval; NRS, nutritional risk screening; OR, odds ratio. P‐values were calculated by binary logistic regression with backward elimination and the following variables: gender (male vs female), family history of cancer (yes vs no), smoking (yes vs no), drinking (yes vs no), T category (T2 vs T1; T3 vs T1; T4 vs T1), N category (N1 vs N0; N2 vs N0; N3 vs N0), overall stage (II vs I; III vs I; IV vs I), induction chemotherapy (yes vs no) and cumulative cisplatin dose (continuous variable, per‐mg/m2 increase).

Survival differences for patients with NRS2002 score <3 or ≥3

In total, 476 pairs were selected by PSM and the baseline information is summarized in Table S3. By last visit, the median follow‐up duration for the 476 matched pairs was 59.53 (8.03‐84.43) months. The estimated 5‐year DFS, OS, DMFS) and LRRFS rates for the matched low‐risk and high‐risk groups were 85.3% vs 82.5% (P = .274), 91.4% vs 89.0% (P = .221), 91.8% vs 89.0% (P = .123) and 93.3% vs 91.5% (P = .344, Figure 1), respectively. When entered into multivariate analysis, the NRS2002 score was an independent prognostic factor only for DMFS (HR, 1.673; 95% CI, 1.092‐2.562; P = .018), but not DFS, OS or LRRFS (Table 3).
Figure 1

Kaplan–Meier DFS (A), OS (B), DMFS (C) and LRRFS (D) curves for the 476 pairs of patients stratified as low risk (NRS2002 <3) and high risk (NRS2002 ≥ 3) using the NRS2002 scale. DFS, disease‐free survival; DMFS, distant metastasis‐free survival; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival

Table 3

Results of multivariate analysis for the selected 476 pairs

EndpointsVariableHR (95% CI) P a
DFSLDH1.861 (1.089‐3.182).023
N category2.719 (1.877‐3.939)<.001
Overall stage1.541 (1.013‐2.344).043
NRS2002 score1.373 (0.993‐1.900).056
OSAge1.605 (1.065‐2.419).024
Gender0.386 (0.187‐0.799).01
LDH2.456 (1.363‐4.427).003
N category2.390 (1.514‐3.773)<.001
Overall stage2.112 (1.195‐3.733).01
NRS2002 score1.473 (0.973‐2.230).067
DMFSGender0.393 (0.190‐0.813).012
LDH2.653 (1.442‐4.881).002
N category4.512 (2.953‐6.896)<.001
NRS2002 score1.673 (1.092‐2.562).018
LRRFSN category2.081 (1.245‐3.476).005
NRS2002 score1.428 (0.883‐2.310).147

CI, confidence interval; DFS, disease‐free survival; DMFS, distant metastasis‐free survival; HR, hazard ratio; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival LDH, lactate dehydrogenase.

P‐values were calculated using an adjusted Cox proportional‐hazards model with backward elimination and the following parameters: age (>45 y vs ≤45 y), gender (female vs male), smoking (yes vs no), drinking (yes vs no), family history of cancer (yes vs no), LDH (>245 vs ≤245 U/L), T category (T3‐4 vs T1‐2), N category (N2‐3 or N0‐1), overall stage (III‐IV vs I‐II), induction chemotherapy (yes vs no), cumulative cisplatin dose (≥200 vs <200 mg/m2) and NRS2002 score (≥3 vs <3).

Kaplan–Meier DFS (A), OS (B), DMFS (C) and LRRFS (D) curves for the 476 pairs of patients stratified as low risk (NRS2002 <3) and high risk (NRS2002 ≥ 3) using the NRS2002 scale. DFS, disease‐free survival; DMFS, distant metastasis‐free survival; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival Results of multivariate analysis for the selected 476 pairs CI, confidence interval; DFS, disease‐free survival; DMFS, distant metastasis‐free survival; HR, hazard ratio; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival LDH, lactate dehydrogenase. P‐values were calculated using an adjusted Cox proportional‐hazards model with backward elimination and the following parameters: age (>45 y vs ≤45 y), gender (female vs male), smoking (yes vs no), drinking (yes vs no), family history of cancer (yes vs no), LDH (>245 vs ≤245 U/L), T category (T3‐4 vs T1‐2), N category (N2‐3 or N0‐1), overall stage (III‐IV vs I‐II), induction chemotherapy (yes vs no), cumulative cisplatin dose (≥200 vs <200 mg/m2) and NRS2002 score (≥3 vs <3).

Survival analysis after regrouping

We conducted univariate survival analysis between different NRS2002 score groups (Figure 2). Surprisingly, patients with an NRS2002 score of 3 achieved significantly better DFS, OS and DMFS than those with NRS2002 scores of 4 and 5, and similar outcomes to patients with NRS2002 scores of 1 and 2. Therefore, we reclassified patients with NRS2002 scores of 3 as low‐risk (NRS2002 ≤ 3, n = 1436). Subsequently, 1168 pairs were selected from the original cohort; the baseline characteristics of these groups are shown in Table S4.
Figure 2

Kaplan–Meier DFS (A), OS (B), DMFS (C) and LRRFS (D) curves for the entire cohort of 3232 patients according to NRS2002 score. DFS, disease‐free survival; DMFS, distant metastasis‐free survival; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival

Kaplan–Meier DFS (A), OS (B), DMFS (C) and LRRFS (D) curves for the entire cohort of 3232 patients according to NRS2002 score. DFS, disease‐free survival; DMFS, distant metastasis‐free survival; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival In comparison with the high‐risk (NRS2002 > 3) group, patients with NRS2002 scores ≤3 achieved significantly better 5‐year DFS (82.7% vs 75.0%, P < .001), OS (88.8% vs 84.1%, P = .001), DMFS (90.2% vs 85.9%, P = .001) and LRRFS (91.6% vs 87.2%, P = .001; Figure 3). Consistent with the results of univariate analysis, the NRS2002 score was significantly associated with DFS (HR, 1.490; 95% CI, 1.244‐1.785; P < .001), OS (HR, 1.497; 95% CI, 1.195‐1.874; P < .001), DMFS (HR, 1.511; 95% CI, 1.187‐1.923; P = .001) and LRRFS (HR, 1.579; 95% CI, 1.215‐2.054; P = .001; Table S5).
Figure 3

Kaplan–Meier DFS (A), OS (B), DMFS (C) and LRRFS (D) curves for the 1168 pairs of patients stratified as low risk (NRS2002 ≤ 3) and high risk (NRS2002 > 3) using the NRS2002 scale. DFS, disease‐free survival; DMFS, distant metastasis‐free survival; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival

Kaplan–Meier DFS (A), OS (B), DMFS (C) and LRRFS (D) curves for the 1168 pairs of patients stratified as low risk (NRS2002 ≤ 3) and high risk (NRS2002 > 3) using the NRS2002 scale. DFS, disease‐free survival; DMFS, distant metastasis‐free survival; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival

Proposal of a revised NRS2002 scale

Previous studies24, 25 focusing on elderly patients applied an age cut‐off value of 65 years. Moreover, Du et al12 found that weight loss of ≥10% was associated with significantly poorer survival outcomes. Therefore, we proposed a revised NRS2002 scale for NPC (Table S6). According to the revised NRS2002 scale, 517 (16.0%), 898 (27.8%), 1504 (46.5%), 307 (9.5%) and 6 (0.2%) patients had scores of 1, 2, 3, 4 and 5, respectively (Table S7). Then, ROC curve analysis was used to compare the risk stratification ability of the 3 scales: scale A, original scale (NRS2002 < 3 or ≥3); scale B, regrouping scale (NRS2002 ≤ 3 or >3); scale C, our revised NRS2002 scale (Figure 4). Obviously, our proposed scale achieved the best power for predicting DFS (area under the curve [AUC] = 0.530 vs 0.554 vs 0.577; all rates P < .05), OS (AUC = 0.534 vs 0.563 vs 0.582; all rates P < .05), DMFS (AUC = 0.531 vs 0.567 vs 0.590; all rates P < .05) and LRRFS (AUC = 0.529 vs 0.542 vs 0.564; all rates P < .05 except scale A vs B).
Figure 4

ROC curve analysis comparing risk stratification for the original NRS2002 (scale A), regroup NRS2002 (scale B) and revised NRS2002 (scale C) scales for predicting (A) DFS, (B) OS, (C) DMFS and (D) LRRFS. DFS, disease‐free survival; DMFS, distant metastasis‐free survival; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival; ROC, receiver operating characteristic

ROC curve analysis comparing risk stratification for the original NRS2002 (scale A), regroup NRS2002 (scale B) and revised NRS2002 (scale C) scales for predicting (A) DFS, (B) OS, (C) DMFS and (D) LRRFS. DFS, disease‐free survival; DMFS, distant metastasis‐free survival; LRRFS, locoregional relapse‐free survival; NRS, nutritional risk screening; OS, overall survival; ROC, receiver operating characteristic

DISCUSSION

Our current study verified the prognostic value of the NRS2002 scale in NPC and found the survival outcomes of patients with NRS2002 scores <3 and ≥3 were comparable. Further analysis revealed that patients with NRS2002 scores ≤3 achieved significantly better outcomes than patients with NRS2002 scores >3, indicating the cut‐off values of the conventional NRS2002 scale may not be directly relevant to NPC. Thus, we proposed and validated a revised NRS2002 scale for NPC with more powerful risk stratification ability than the original or regrouping NRS2002 scale. We also identified the factors associated with the NRS2002 score in NPC. To the best of our knowledge, this is the first study to apply the NRS2002 scale to assess nutritional risk for individual patients with NPC. Before conducting our study, we searched the literature and identified 3 main nutritional risk assessment scales: NRS2002 scale,18, 19, 26, 27 patient‐generated subjective global assessment (PG‐SGA) scale28, 29, 30, 31 and mini nutritional assessment (MNA) scale.32, 33, 34 These 3 scales were proven effective for nutritional assessment for patients with malignancies. However, some items in the PG‐SGA and MNA scales were not routinely assessed and recorded before or during treatment in our center. Consequently, nutritional assessment using these 2 scales was not available. Therefore, we adopted the NRS2002 scale. It should be noted that we did not consider NRS2002 during IC, as compliance to IC is satisfactory and few patients suffer nutritional impairment during this process. In fact, only 92/1654 (5.6%) patients who received IC experienced nutritional impairment (Table S8). Moreover, patients usually returned home after receiving IC, making it more difficult to assess nutritional status. Hence, we did not evaluate the NRS2002 score during IC. As age is one of the criteria in the NRS2002 scale, we did not restrict age when recruiting participants; therefore, some patients younger than 18 years old were included. According to the guidelines of our hospital, a disease severity score ≥2 was a strong contraindication for radiotherapy. Therefore, all patients in this study had a disease severity score of 1. We found advanced tumor stage, IC and a higher CCD during radiotherapy were associated with a significantly higher NRS2002 score, which is similar to previous findings.12 Obviously, patients with advanced stage disease received more intensive chemotherapy regimens and, therefore, were more likely to suffer more severe nutritional impairment. However, insufficient chemotherapy may also adversely affect prognosis. As both low and extreme treatment intensities correlate with poorer survival outcomes, it is important to deliver the optimal treatment intensity to obtain the best prognosis. With regard to IC, more efficacious and less toxic regimens should be considered, such as gemcitabine plus cisplatin.35, 36 In addition, the number of cycles of IC should be optimized; 2 cycles may be sufficient.37 For concurrent chemotherapy, an overdose of cisplatin should be avoided; 200 mg/m2 may be adequate to provide a survival advantage.38 In survival analysis, patients with an NRS2002 score >3 had significantly poorer survival outcomes than those with a NRS2002 score ≤3. The reasons for this finding may be numerous and complicated. First, malnutrition could lead to radiotherapy and chemotherapy interruptions, prolong treatment duration and decrease treatment tolerance, therefore negatively affecting survival.39 Second, poor nutrition status could weaken a variety of defence mechanisms, including cellular and humoral immunity, anatomic barriers and phagocyte function,40, 41, 42 thus increasing the chance of secondary infection and compromising treatment response. Furthermore, inadequate nutrition may represent an indicator of the tumor inflammatory response, which promotes tumor cell proliferation/survival, angiogenesis and metastasis, and alters responses to hormones and chemotherapeutic agents.42, 43 Given that nutrition has a significant impact on prognosis, it is essential to identify patients at high risk of nutritional impairment and to deliver nutritional intervention as early as possible. Based on our finding that patients with an NRS2002 score of 3 achieved excellent outcomes, similar to patients with lower scores, it is reasonable to infer that the original NRS2002 scale may not provide adequate nutritional risk stratification in NPC. Therefore, based on previous studies,12, 24, 25 we made some modifications to the age and weight loss criteria to establish a revised NRS2002 scale. ROC curve analysis revealed that the revised NRS2002 scale achieved the best power in risk stratification than the original NRS2002 and regrouping scales for all end‐points. Thus, the revised NRS2002 scale represents a simple, powerful nutritional risk screening tool for patients with NPC that could help to inform clinical decision‐making. Compared to previous studies of nutritional status in NPC,12, 13, 14, 15 this is the first application of the NRS2002 scale to consider age and severity of disease as well as nutritional status. The proposed revised NRS2002 scale provides more comprehensive understanding of patient and disease status, and may, therefore, have more significant clinical value than the individual indexes (weight loss or prognostic nutritional index) investigated in previous studies.12, 13, 14, 15 Moreover, this was the largest sample size investigated to date, which confers greater statistical power to detect significant differences. Given the unbalanced distribution of some factors between different NRS2002 score groups, we used the PSM method to match these factors and reduce potential bias. The limitations of this study should also be noted. Importantly, data from a single center was retrospectively assessed. However, we applied PSM and multivariate analysis to balance various factors and address the potential limitations of divergent confounders. Moreover, the effect of IC was not explored in detail and requires further study. The relationship between radiotherapy interruption and NRS2002 score was not evaluated because many patients did not have this data. In summary, tumor stage and chemotherapy intensity are significantly associated with NRS2002 score in NPC, and patients with a NRS2002 score >3 have significantly poorer survival outcomes than those with a NRS score ≤3 in the IMRT era. Moreover, we proposed and validated a revised NRS2002 scale that better enables identification of patients at high risk of nutritional impairment. The revised NRS2002 scale needs to be validated in randomized clinical trials.

CONFLICT OF INTEREST

The authors have no conflict of interest to declare. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file.
  43 in total

1.  Mini Nutritional Assessment (MNA) and biochemical markers of cachexia in metastatic lung cancer patients: interrelations and associations with prognosis.

Authors:  Ioannis Gioulbasanis; Panagiotis Georgoulias; Panagiotis J Vlachostergios; Vickie Baracos; Sunita Ghosh; Zoe Giannousi; Christos N Papandreou; Dimitris Mavroudis; Vassilis Georgoulias
Journal:  Lung Cancer       Date:  2011-05-31       Impact factor: 5.705

2.  ESPEN guidelines for nutrition screening 2002.

Authors:  J Kondrup; S P Allison; M Elia; B Vellas; M Plauth
Journal:  Clin Nutr       Date:  2003-08       Impact factor: 7.324

3.  Screening of the nutritional risk of patients with gastric carcinoma before operation by NRS 2002 and its relationship with postoperative results.

Authors:  Weiping Guo; Guangsheng Ou; Xi Li; Jianglong Huang; Jiangpei Liu; Hongbo Wei
Journal:  J Gastroenterol Hepatol       Date:  2010-04       Impact factor: 4.029

4.  Inherently poor survival of elderly patients with nasopharyngeal carcinoma.

Authors:  Ye Zhang; Jun-Lin Yi; Xiao-Dong Huang; Guo-Zhen Xu; Jian-Ping Xiao; Su-Yan Li; Jing-Wei Luo; Shi-Ping Zhang; Kai Wang; Yuan Qu; Li Gao
Journal:  Head Neck       Date:  2015-02-11       Impact factor: 3.147

5.  Predictors of severe acute and late toxicities in patients with localized head-and-neck cancer treated with radiation therapy.

Authors:  François Meyer; André Fortin; Chang Shu Wang; Geoffrey Liu; Isabelle Bairati
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-06-02       Impact factor: 7.038

6.  Gemcitabine plus cisplatin versus fluorouracil plus cisplatin in recurrent or metastatic nasopharyngeal carcinoma: a multicentre, randomised, open-label, phase 3 trial.

Authors:  Li Zhang; Yan Huang; Shaodong Hong; Yunpeng Yang; Gengsheng Yu; Jun Jia; Peijian Peng; Xuan Wu; Qing Lin; Xuping Xi; Jiewen Peng; Mingjun Xu; Dongping Chen; Xiaojun Lu; Rensheng Wang; Xiaolong Cao; Xiaozhong Chen; Zhixiong Lin; Jianping Xiong; Qin Lin; Conghua Xie; Zhihua Li; Jianji Pan; Jingao Li; Shixiu Wu; Yingni Lian; Quanlie Yang; Chong Zhao
Journal:  Lancet       Date:  2016-08-23       Impact factor: 79.321

7.  Preliminary results of a phase I/II study of simultaneous modulated accelerated radiotherapy for nondisseminated nasopharyngeal carcinoma.

Authors:  Sang-wook Lee; Geum Mun Back; Byong Yong Yi; Eun Kyung Choi; Seung Do Ahn; Seong Soo Shin; Jung-hun Kim; Sang Yoon Kim; Bong-Jae Lee; Soon Yuhl Nam; Seung-Ho Choi; Seung-Bae Kim; Jin-hong Park; Kang Kyoo Lee; Sung Ho Park; Jong Hoon Kim
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-02-10       Impact factor: 7.038

8.  The pretreatment albumin to globulin ratio has predictive value for long-term mortality in nasopharyngeal carcinoma.

Authors:  Xiao-Jing Du; Ling-Long Tang; Yan-Ping Mao; Ying Sun; Mu-Sheng Zeng; Tie-Bang Kang; Wei-Hua Jia; Ai-Hua Lin; Jun Ma
Journal:  PLoS One       Date:  2014-04-09       Impact factor: 3.240

9.  Prognostic Value of Neoadjuvant Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma with Low Pre-treatment Epstein-Barr Virus DNA: a Propensity-matched Analysis.

Authors:  Hao Peng; Lei Chen; Wen-Fei Li; Rui Guo; Yuan Zhang; Fan Zhang; Li-Zhi Liu; Li Tian; Ai-Hua Lin; Ying Sun; Jun Ma
Journal:  J Cancer       Date:  2016-07-05       Impact factor: 4.207

10.  Induction Chemotherapy Improved Long-term Outcomes of Patients with Locoregionally Advanced Nasopharyngeal Carcinoma: A Propensity Matched Analysis of 5-year Survival Outcomes in the Era of Intensity-modulated Radiotherapy.

Authors:  Hao Peng; Lei Chen; Jian Zhang; Wen-Fei Li; Yan-Ping Mao; Yuan Zhang; Li-Zhi Liu; Li Tian; Ai-Hua Lin; Ying Sun; Jun Ma
Journal:  J Cancer       Date:  2017-02-10       Impact factor: 4.207

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  6 in total

1.  Applicability of the Nutrition Risk Screening 2002 Combined with a Patient-Generated Subjective Global Assessment in Patients with Nasopharyngeal Carcinoma.

Authors:  Xiaoxian Pan; Caihong Wang; Rong Li; Li Su; Mingwei Zhang; Chuanshu Cai; Shiping Liu; Weijian Zhang; Jihong Song; Jinsheng Hong
Journal:  Cancer Manag Res       Date:  2020-09-09       Impact factor: 3.989

2.  Nutritional Status and Its Association With Radiation-Induced Oral Mucositis in Patients With Nasopharyngeal Carcinoma During Radiotherapy: A Prospective Study.

Authors:  Zekai Shu; Ziyi Zeng; Bingqi Yu; Shuang Huang; Yonghong Hua; Ting Jin; Changjuan Tao; Lei Wang; Caineng Cao; Zumin Xu; Qifeng Jin; Feng Jiang; Xinglai Feng; Yongfeng Piao; Jing Huang; Jia Chen; Wei Shen; Xiaozhong Chen; Hui Wu; Xiushen Wang; Rongliang Qiu; Lixia Lu; Yuanyuan Chen
Journal:  Front Oncol       Date:  2020-11-06       Impact factor: 6.244

3.  Development and implementation of a dynamically updated big data intelligence platform from electronic health records for nasopharyngeal carcinoma research.

Authors:  Li Lin; Wei Liang; Chao-Feng Li; Xiao-Dan Huang; Jia-Wei Lv; Hao Peng; Bing-Yi Wang; Bo-Wei Zhu; Ying Sun
Journal:  Br J Radiol       Date:  2019-08-20       Impact factor: 3.039

4.  A Scoring System Based on Nutritional and Inflammatory Parameters to Predict the Efficacy of First-Line Chemotherapy and Survival Outcomes for De Novo Metastatic Nasopharyngeal Carcinoma.

Authors:  Wang-Zhong Li; Xin Hua; Shu-Hui Lv; Hu Liang; Guo-Ying Liu; Nian Lu; Wei-Xin Bei; Wei-Xiong Xia; Yan-Qun Xiang
Journal:  J Inflamm Res       Date:  2021-03-10

5.  Association of Systemic Inflammation and Malnutrition With Survival in Nasopharyngeal Carcinoma Undergoing Chemoradiotherapy: Results From a Multicenter Cohort Study.

Authors:  Xin Wang; Ming Yang; Yizhong Ge; Meng Tang; Benqiang Rao; Yongbing Chen; Hongxia Xu; Minghua Cong; Zengqing Guo; Hanping Shi
Journal:  Front Oncol       Date:  2021-10-26       Impact factor: 6.244

6.  The Double-Edge Role of the Addition of Adjuvant Chemotherapy to Concurrent Chemoradiotherapy in the Treatment of Nasopharyngeal Carcinoma.

Authors:  Zhong-Guo Liang; Fan Zhang; Bin-Bin Yu; Ling Li; Song Qu; Ye Li; Ying Guan; Ren-Ba Liang; Lu Han; Xiao-Dong Zhu
Journal:  Cancer Manag Res       Date:  2020-02-04       Impact factor: 3.989

  6 in total

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