Next Article in Journal
Percutaneous Hepatic Perfusion (PHP) with Melphalan in Liver-Dominant Metastatic Uveal Melanoma: The German Experience
Next Article in Special Issue
Prediction of Chemotoxicity, Unplanned Hospitalizations and Early Death in Older Patients with Colorectal Cancer Treated with Chemotherapy
Previous Article in Journal
Proton Minibeam Radiation Therapy and Arc Therapy: Proof of Concept of a Winning Alliance
Previous Article in Special Issue
Biomarker Testing in Older Patients Treated for an Advanced or Metastatic Non-Squamous Non-Small-Cell Lung Cancer: The French ESME Real-Life Multicenter Cohort Experience
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Pre-Operative GRADE Score Is Associated with 5-Year Survival among Older Patients with Cancer Undergoing Surgery

1
Service de Chirurgie Digestive et Cancérologique, Hôpital Avicenne, APHP, 93000 Bobigny, France
2
Service d’oncologie Médicale, Hôpital Avicenne, APHP, 93000 Bobigny, France
3
Clinical Epidemiology and Ageing, Université Paris-Est Créteil, IMRB-UPEC/Inserm U955, 94000 Creteil, France
4
Département de Médecine Interne et Gériatrie, APHP, Hôpital Henri Mondor, 94000 Creteil, France
5
Service de Gastroentérologie, Hôpital Avicenne, APHP, 93000 Bobigny, France
6
Service de Santé Publique, Hôpital Henri Mondor, APHP, 94000 Creteil, France
7
Service de Gériatrie, Hôpital Europeen Georges Pompidou, APHP, Paris Cancer Institute CARPEM, 75015 Paris, France
8
Cardiovascular Markers in Stressed Conditions, Université Sorbonne Paris Nord, Inserm UMR_S942, MASCOT, 93000 Bobigny, France
9
Service de Médecine Gériatrique, Hôpital Avicenne, APHP, 93000 Bobigny, France
*
Author to whom correspondence should be addressed.
These authors have contributed equally to this work.
These authors are co-senior authors.
Cancers 2022, 14(1), 117; https://doi.org/10.3390/cancers14010117
Submission received: 7 November 2021 / Revised: 18 December 2021 / Accepted: 24 December 2021 / Published: 27 December 2021

Abstract

:

Simple Summary

The benefit of major cancer surgery among older patients may be limited, and it remains unclear how to optimally select suitable patients. By combining very simple geriatric (gait speed, and weight loss) and cancer parameters (cancer site and cancer extension), the pre-operative GRADE score > 8 was significantly associated with severe post-operative complications, and overall post-operative mortality among older patients with digestive or non-breast gynaecological cancer undergoing surgery. At the time of the first consultation, the GRADE score could help surgeons to choose the most suitable treatment strategy, avoiding under- or over-treatment, especially when a geriatric assessment is not available.

Abstract

We aimed to assess the prognostic value of the pre-operative GRADE score for long-term survival among older adults undergoing major surgery for digestive or non-breast gynaecological cancers. Between 2013 and 2019, 136 consecutive older adults with cancer were prospectively recruited from the PF-EC cohort study before major cancer surgery and underwent a geriatric assessment. The GRADE score includes weight loss, gait speed at the threshold of 0.8 m/s, cancer site and cancer extension. The primary outcome was post-operative 5-year mortality. Patients were classified as low risk (GRADE ≤ 8) or high risk (GRADE > 8) on the basis of the median score. A Cox multivariate proportional hazards regression model was performed to assess the association between pre-operative factors and 5-year mortality expressed by adjusted hazard ratio (aHR) and 95% CI. The median age was 80 years, 52% were men, 73% had colorectal cancer. The 30-day post-operative severe complication rate (Clavien-Dindo ≥ 3) was 37%. The 5-year post-operative mortality rate was 34.5%. A GRADE score ≥ 8 (aHR = 2.64 [1.34–5.21], p = 0.0002) was associated with post-operative mortality after adjustment for Body Mass Index < 21 kg/m2 and Instrumental Activities of Daily Living <3/4. By combining very simple geriatric and cancer parameters, the pre-operative GRADE score provides a discriminant prognosis and could help to choose the most suitable treatment strategy for older cancer patients, avoiding under or over-treatment.

Graphical Abstract

1. Introduction

With the aging of populations worldwide, the number of older people with cancer is increasing [1], challenging daily surgical practice. Indeed, two-thirds of patients with cancer requiring surgery are over 70 years [2] and these patients are at high risk for under or over-treatment [3]. Data from evidence-based-medicine is lacking for therapeutic decisions because this population is not offered participation in clinical trials [4] or is more likely to be excluded because of limiting comorbidities and dependency [5]. Despite improvements in the surgical management of cancers, 30-day post-operative complications are still highly prevalent among older patients (between 35 and 50%), with mortality rates reaching 13% [6,7], and 1-year mortality reaching 40% [8]. The benefit of cancer surgery among older patients could thus be limited, and it remains unclear how to optimally select suitable patients [9].
The main challenge is to select the optimal treatment tailored to patient heterogeneity in terms of social environment, levels of dependency, comorbidities, nutrition, mobility, cognitive and mood status, all liable to lead to post-operative complications and shorter survival [10]. The Geriatric Assessment (GA), which is a multidimensional and multidisciplinary health assessment for older adults [11], is recommended by the International Society of Geriatric Oncology and the European Society of Surgical Oncology before cancer surgery [2,12], but to date there has been no validated decision-based algorithm to determine which older patients could benefit the most from major cancer surgery. For example, the Surgical Risk Calculator (SRC) (http://riskcalculator.facs.org/RiskCalculator/) (accessed on 7 November 2021) which combines 20 items, was applied to 69 older patients with a mean age of 75 years undergoing emergency surgical interventions for a malignant colonic obstruction [13]. In this study, the SRC was an independent risk factor for 30-day post-operative mortality (Odd Ratio = 1.07 [1.01–1.15], p = 0.03). More recently, we developed and validated a simple and easy prognostic score (the GRADE score: https://grade.shinyapps.io/dynnomapp/) (accessed on 7 November 2021) to assist therapeutic decisions for older patients with cancer [14]. This score takes into account two geriatric parameters (weight loss and gait speed) and two cancer parameters (cancer site and extension), and predicts short-term mortality (i.e., ≤6 months). We hypothesized that the GRADE score could help decide whether or not to undertake radical cancer surgery in older patients.
We thus aimed to assess the prognostic value of the pre-operative GRADE score for 5-year survival among older patients undergoing major digestive or non-breast gynecological cancer surgery.

2. Materials and Methods

2.1. Study Design and Population

Patients were recruited from the Physical Frailty in Elderly Cancer patients (PF-EC) survey, a prospective observational two-centre cohort study that started in November 2013 [15]. All consecutive in- and outpatients aged 65 and over, referred by a surgeon specialized in cancer for a geriatric oncology assessment, were prospectively included in a registry if a diagnosis of cancer was established, and if frailty was felt, before a cancer treatment decision was made.
For the present study, we included in the analysis all consecutive patients before major cancer surgery (digestive tract and non-breast gynaecological tract) up to 31 August 2019. All patients underwent a cancer surgery in intention of curative treatment.
The inclusion date was the date of the first geriatric oncology visit. Informed consent was obtained from the patients before inclusion. The study was approved by the local ethics committee (CLEA-2015-019, Avicenne Hospital, Bobigny, France).

2.2. Pre-Operative Assessment

Demographic data (age, gender), in/outpatient status, Eastern Cooperative Oncology Group Performance Status score (ECOG-PS) and American Society Anesthesiology (ASA) scale score were obtained at the first geriatric oncology visit as part of the Geriatric Assessment (GA). Tumour characteristics (site and extension) were also recorded. Tumour extension was classified as local, locally advanced or metastatic.
Vulnerability was assessed at the first geriatric oncology visit and before the GA using the G8 index [16]. The total G8 index score ranges from 0 to 17, and a score ≤ 14 is considered to indicate impairment.
The Geriatric Assessment (GA) was performed at the first geriatric oncology visit and included the following six domains: comorbidities assessed by the cumulate illness rating scale—geriatric (CIRSG) [17] (abnormal if ≥ 14 [median]); polypharmacy (≥5 drugs a day) [18]; dependency (activities of daily living scale (ADL) ≤ 5/6, and/or a instrumental-ADL scale (IADL) ≤ 3/4) [19,20]; malnutrition (body mass index (BMI) < 21 kg/m2 and/or an albumin level < 35 g/L) [21]; depressed mood (Mini-Geriatric Depression Scale (Mini-GDS) ≥ 1/4) [22]; and cognitive impairment (Mental State Examination (MMSE) < 24/30) [23].
The GRADE score was collected at the first geriatric oncology visit. As described elsewhere, patients were scored as follows: unintentional weight loss in the past year ≥ 5% (no/yes: 0/1) + slow gait speed < 0.8 m/s (no/yes: 0/3) + cancer site (colorectal: 3, digestive non-colorectal: 4, non-breast gynaecological: 3) + cancer extension (local/locally advanced/metastatic 0/3/5) [14].

2.3. Post-Operative Outcomes

The primary outcome was overall 5-year post-operative mortality. Vital status was determined by calling patients or their families, or from medical records.
The secondary outcome was severe complications in the 30 days after surgery, defined as a Clavien-Dindo score ≥ 3 [24].

2.4. Statistical Analysis

Categorical variables were summarized as numbers (percentage), and continuous variables were summarized as means ± standard deviation (SD).
Comparison of patients according to the GRADE score: we divided the GRADE score into 2 groups at a median of 8. Baseline characteristics (demographic data, cancer-related data and GA components) and post-operative complications were compared between these two groups using the Chi2 test.
For survival analyses, univariate survival curves were plotted according to the Kaplan-Meier method for the GRADE score with the threshold of 8. The discrimination of the models was assessed using Harrell’s C index with 95%CI with the following classification: 0.5–0.59 (poor), 0.6–0.69 (moderate), 0.7–0.79 (good), 0.8–0.89 (very good) and ≥0.9 (excellent). The calibration of the GRADE score was assessed using the Grönnesby and Borgan goodness of fit (a significant p value indicates miscalibration). Cox uni- and multivariate proportional hazards regression models were run to identify pre-operative factors associated with 5-year post-operative mortality. The model assumptions were verified including proportional hazards using Schoenfeld residuals. Variables yielding p values (log-rank test) under 0.20 in the univariate analysis were considered for inclusion in the multivariate analysis. A stepwise selection at the p-level < 0.05 was performed to produce the final multivariate model. The association between pre-operative factors and 5-year mortality was expressed by adjusted hazard ratio (aHR) and 95% CI.
All tests were two-sided, and the threshold for statistical significance was set at p < 0.05. The data was analyzed using R statistical software (version 4.0.3, R Foundation for Statistical Computing, Vienna, Austria; http://www.r-project.org, (accessed on 7 November 2021)).

3. Results

3.1. Patients

By 31 August 2019, 136 consecutive patients aged 65 and over with digestive or non-breast gynecological cancer who were referred for GA had been selected for major cancer surgery and were prospectively included in this study.

3.2. Baseline Characteristics of Patients

The patients’ age ranged from 65 to 97 years with a median of 80 years. Most patients were men (n = 71, 52%), outpatients (n = 108, 79%), and most had colorectal cancer (n = 99, 73%) and local or locally-advanced cancer (n = 107, 79%). The remaining 29 patients were reclassified as metastatic after the surgery procedure. The G8-index was ≤14 for 112/136 (84%) of the patients. According to the tools and thresholds used, impairment in the domains explored by the GA varied from 13% (BMI < 21 kg/m2) to 65% (polypharmacy) (Table 1).
Compared to patients with an ECOG-PS ≤ 2 (n = 98), patients with an ECOG-PS > 2 (n = 38) were significantly (p < 0.05) older (mean age of 83.0 years), and they had a higher proportion of ASA scale > 2 (n = 29/38, 76%), G8-index ≤ 14 (n = 38/38, 100%), CIRSG total ≥ 14 (n = 27/38, 71%), ADL ≤ 5/6 (n = 29/38, 76%), IADL ≤ 3/4 (n = 36/38, 95%), BMI < 21 kg/m2 (n = 9/38, 24%), and MMSE < 24/30 (n = 17/21, 81%).
The GRADE scores ranged from 3 to 13. Patients were classified into two groups defined by the median GRADE score as follows: low-risk (GRADE ≤ 8) and high risk (GRADE > 8).
In univariate analysis, older age, female gender, cancer extension, ASA scale > 2, ECOG-PS > 2, G8-index ≤ 14, ADL ≤ 5/6, IADL ≤ 3/4, and MMSE < 24/30 were significantly associated with a GRADE score > 8.

3.3. 30-Day Post-Operative Complications

The 30-day post-operative complication rate (Clavien-Dindo ≥ 1) was 67% (n = 91/136), of which 55% were classified as severe (Clavien-Dindo ≥ 3a).
Figure 1 shows the characteristics of 30-day post-operative complications according to the Clavien-Dindo scale. Among severe complications (n = 91), multiorgan failure was the most frequent and concerned 9 (10%) patients. Six (7%) patients died. Among non-severe complications, sepsis, ileus and confusion were the most frequent, and concerned 9%, 7% and 5.5% of the patients, respectively. A GRADE score >8 was significantly associated with severe post-operative complications (OR = 2.16 [1.06–4.41], p = 0.03) (Table 1).

3.4. Preoperative Factors Associated with 5-Year Post-Operative Mortality

The median follow-up was 24.2 months (7.0–39.5) [min-max: 0.16–71.5]. On 1 December 2019, the 5-year post-operative mortality rate was 34.5% (n = 47/136). Median OS was 65.5 months (38.0-NA).
In univariate analysis, age as a continuous variable, GRADE score > 8, ASA score > 2, ECOG-PS score > 2, CIRSG total score ≥ 14, ADL score ≤ 5/6, IADL score ≤ 3/4, BMI < 21 kg/m2, Mini-GDS score ≥ 1/4, and MMSE score < 24/30 were significantly associated with 5-year mortality (Table 2). Figure 2 shows the Kaplan-Meier survival curves according to the pre-operative GRADE score (≤8: low-risk; >8: high-risk). Median survival was reached at 34 months [95% CI: 19.2–50.1] among patients with GRADE score > 8. It was not reached for patients with GRADE score ≤ 8. At one year, the survival rate was significantly different for patients with a GRADE score ≤ 8 (92%) compared to patients with a GRADE score > 8 (70%) (p < 0.0001). At 5 years, among patients with a GRADE score ≤ 8 the survival rate was 71%, compared to 26% for patients with a GRADE score > 8 (p < 0.0001) (Table 3).
In multivariate analysis, factors associated with 5-year post-operative mortality were GRADE score > 8, IADL score ≤ 3/4 and BMI < 21 kg/m2. There was no significant interaction across multivariate predictors (Table 2). There was not either significant interaction between the G8-index and the GRADE, IADL or BMI. The discrimination of the GRADE score was good (Harrell’s C index = 0.76 [0.64–0.88]). There was no miscalibration (p = 0.48).

3.5. Improvement of the GRADE Score: The GRADE-Surgery Score

In order to improve discrimination, we added the IADL measure to the GRADE scoring system using the Schneeweiss’s beta-coefficient point-based method, which weights by 1 unit more with each 0.3 increase in the beta-coefficient (i.e., GRADE score > 8 no/yes = 0/3; IADL score ≤ 3/4 no/yes = 0/4) [25].
The GRADE-IADL score (or the GRADE-surgery score) ranges from 0 to 7 with a median value of 4. The two scoring systems are shown in Table A1. A GRADE-surgery score > 4 remained significantly associated with 5-year mortality after adjustment for BMI (aHR = 4.33 [2.34–8.00], p < 0.0001) with very good discrimination (Harrell’s C index = 0.81 [0.71–0.91]), and it evidenced no significant difference from the original level of discrimination of the GRADE score (p = 0.12). Again, there was no miscalibration (p = 0.30).

4. Discussion

A pre-operative GRADE score > 8 was strongly and significantly associated with 5-year mortality among 136 consecutive older patients undergoing major cancer surgery (colorectal, digestive non-colorectal and non-breast gynecological) after adjustment for IADL-dependency and malnutrition (BMI < 21 kg/m2).
The GRADE score is easy to perform in daily surgical practice with only four parameters, cancer site and extension, weight loss and gait speed, and only adds two minutes to a normal consultation [14]. This is the main strength of this score, since it does not require a geriatric assessment and thus it could be of great help to surgeons in the decision whether or not to perform cancer surgery among older adults, especially when a GA is not available. Indeed, in daily practice, data shows that for older patients with cancer, before surgical decision the Geriatric Assessment is performed in less than 10% of cases, mainly due to time and resource limitations [26].
Another strength of the GRADE score is that it could capture heterogeneity in the course of aging. Indeed, our study results show that in the high-risk group (GRADE > 8), patients were older, more dependent, had higher ASA and ECOG-PS scores, a more frequently abnormal G8-index, and greater cognitive impairment. Over the post-operative period ranging from 6 months to 7 years, all of these pre-operative factors are known to be associated with poorer survival among older patients undergoing major cancer surgery [10,27,28,29,30,31]. However, the GRADE score remains independently associated with 5-year mortality after adjustment for IADL-dependency and malnutrition (BMI < 21 kg/m2).
One limitation of our score could be its poorer discrimination compared to the similar five-variable PREOP risk score recently published [30]. Although this score could be more discriminant with a C-index = 0.78, its appropriation by surgeons in daily practice could be more difficult since it uses the Nutritional Risk Screening tool which takes into account weight loss, BMI, overall condition and food intake. Its discriminant power was similar to that of the GRADE score (HR = 2.7 [1.7–4.3]). While maintaining the simplicity of use of the GRADE score, by adding the very simple four-item IADL scoring to it (producing the GRADE-surgery score) we were able to improve its predictive value (C-index = 0.81). The GRADE-surgery score remains easy to perform in daily practice, but an external validation is still required. Table A2 compares the existing pre-operative scoring systems among older adults referred for a cancer-surgery [30,32,33]. To date, the GRADE score appears to be the simplest pre-operative tool. However, further studies are required to compare pre-operative scoring systems and to decipher (i) their predictive performances on post-operative complications and overall survival; and (ii) their appropriation by surgeons in daily practice.
Other limitations deserve to be discussed: first, due to the study design, too much peri-operative data (type, duration and complexity of surgery procedure) was missing to take it into account in multivariate analyses; secondly, the limited sample size and the prevalent colorectal cancer type could immediately limit the generalization of the GRADE score; and thirdly, despite the interest that there would have been in conducting a time-varying Cox model analysis to assess the potential influence on overall survival of the subsequent treatments or complications over a 5-year time frame, we lacked the detailed information required for conducting such an analysis.
On the basis of our study results, we suggest that older patients with cancer and with a GRADE score ≤8 could be treated according to the standard guidelines, including cancer surgery. Conversely, for those with a GRADE score >8, with their 2-fold increased risk of severe post-operative complications and 2.5-fold increased risk of 5-year post-operative mortality, nutritional and functional rehabilitation could be proposed before considering cancer surgery in order to improve the prognosis. Indeed, in a recent meta-analysis including 3962 participants aged from 55 to 81 years, the authors found that multimodal pre-habilitation was significantly effective on overall post-operative complications after abdominal cancer surgery [34].

5. Conclusions

The preoperative GRADE score was strongly and significantly associated with 5-year post-operative mortality among older patients undergoing cancer surgery.
We suggest that surgeons could use this score at the first surgical consultation to propose optimal treatment, especially when a geriatric assessment is not available.

Author Contributions

Conceptualization, G.B., F.P.; methodology, G.B., F.P.; software, F.P.; validation, P.W., G.B. and F.P.; formal analysis, Z.a.T., F.P.; investigation, P.W., F.P.; resources, P.W., F.P.; data curation, Z.a.T., F.P.; writing—original draft preparation, P.W., Z.a.T., G.B. and F.P.; writing—review and editing, P.W., Z.a.T., M.L., T.A., M.S., E.A., E.P., G.B. and F.P.; visualization, P.W., Z.a.T., M.L., T.A., M.S., E.A., E.P., G.B. and F.P.; supervision, P.W., G.B., F.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of Avicenne Hospital-APHP (number: CLEA-2015-019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors thank Angela Swaine and Sarah Leyshon for revising the manuscript. The authors thank Ludivine Heems for revising the graphical abstract.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. The GRADE and the GRADE-surgery scoring systems.
Table A1. The GRADE and the GRADE-surgery scoring systems.
GRADEGRADE-Surgery
Weight loss ≥ 5%GRADE > 8
No = 0No = 0
Yes = 1Yes = 3
Gait speed < 0.8 m/sIADL ≤ ¾ *
No = 0No = 0
Yes = 3Yes = 4
Cancer site
Colorectal = 3
Non-breast gynaecological = 3
Digestive non-colorectal = 4
Cancer extension
Local = 0
Locally-advanced = 3
Metastatic = 5
Total = 3–13Total = 0–7
C-index (threshold of 8) = 0.76C-index (threshold of 4) = 0.81
* IADL scoring: For each item, does alone = 1; does with help = 0 (uses telephone, transports, medications, and money management).
Table A2. Comparison of pre-operative scoring systems among older adults referred for a cancer-surgery.
Table A2. Comparison of pre-operative scoring systems among older adults referred for a cancer-surgery.
Scoring SystemsStudy PopulationVariablesAdvantagesDisadvantages
PREOP [30]229 patients ≥ 70 years
Cancer surgery: breast, colorectal, gastric, gynaecologic, pancreas and bile-duct, renal and bladder, soft tissue and skin
Total = 5
Sex, type of surgery, TGUG, ASA scale, NRS
Associated with 5-year overall survival
Good discrimination (C-index = 0.78)
No external validation
Time to scoring with NRS tool
VESPA [32]476 patients ≥ 70 years
Cancer-surgery: Dermatologic, gastrointestinal, urologic, breast, head and neck, ophtalmologic
Total = 6
ADL/IADL, self-report inability to manage oneself, sex, Charlson’s comorbidity index, complexity of surgery procedure
Associated with 30-day post-operative complications
Very-good discrimination for geriatric complications (C-index = 0.83)
Good discrimination for surgical complications (C-index = 0.70)
Good discrimination for post-discharge needs (C-index = 0.77)
The largest sample
No external validation
Association with overall survival not reported
Time to scoring with several scales
GA-GYN [33]189 patients ≥ 70 years
Cancer-surgery: Non-breast gynaecological
Total = 8
Need for assistance in taking medications, limited in walking one block, decreased social activity, number of falls, fair or worse hearing, age, hemoglobin, creatinine
Associated with 6-week post-operative complications (stage III/IV only)
Specific to gynaecological cancers
No external validation
Not associated with overall survival
Time to scoring with biological variables
Discrimination lacking
GRADE [14]136 patients ≥ 65 years
Cancer-surgery: colorectal, oesophagus, gastric, pancreas and bile-duct, anus, gastro-intestinal and stromal tumours, ovarian, uterus
Total = 4
Weight loss, Gait speed, Cancer site, Cancer extension
Associated with 5-year overall survival
Good discrimination (C-index = 0.76)
Univariate association with 30-day post-operative complications
The simplest score
Usefulness when a geriatric assessment is not available
No external validation
The smallest sample
ADL: Activities of Daily Living; ASA: American Society Anesthesiology; IADL: Instrumental-ADL; NRS: Nutritional Risk Screening tool; TGUG: Timed Get Up and Go test.

References

  1. Pilleron, S.; Sarfati, D.; Janssen-Heijnen, M.; Vignat, J.; Ferlay, J.; Bray, F.; Soerjomataram, I. Global cancer incidence in older adults, 2012 and 2035: A population-based study. Int. J. Cancer 2019, 144, 49–58. [Google Scholar] [CrossRef] [PubMed]
  2. Papamichael, D.; Audisio, R.A.; Glimelius, B.; de Gramont, A.; Glynne-Jones, R.; Haller, D.; Kohne, C.-H.; Rostoft, S.; Lemmens, V.; Mitry, E.; et al. Treatment of colorectal cancer in older patients: International Society of Geriatric Oncology (SIOG) consensus recommendations 2013. Ann. Oncol. 2015, 26, 463–476. [Google Scholar] [CrossRef] [PubMed]
  3. Audisio, R.A. Preoperative evaluation of the older patient with cancer. J. Geriatr. Oncol. 2016, 7, 409–412. [Google Scholar] [CrossRef] [PubMed]
  4. Canouï-Poitrine, F.; Lièvre, A.; Dayde, F.; Lopez-Trabada-Ataz, D.; Baumgaertner, I.; Dubreuil, O.; Brunetti, F.; Coriat, R.; Maley, K.; Pernot, S.; et al. Inclusion of Older Patients with Cancer in Clinical Trials: The SAGE Prospective Multicenter Cohort Survey. Oncologist 2019, 24, e1351–e1359. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Lewis, J.H.; Kilgore, M.L.; Goldman, D.P.; Trimble, E.L.; Kaplan, R.; Montello, M.J.; Housman, M.G.; Escarce, J.J. Participation of patients 65 years of age or older in cancer clinical trials. J. Clin. Oncol. 2003, 21, 1383–1389. [Google Scholar] [CrossRef]
  6. Kristjansson, S.R.; Farinella, E.; Gaskell, S.; Audisio, R.A. Surgical risk and post-operative complications in older unfit cancer patients. Cancer Treat. Rev. 2009, 35, 499–502. [Google Scholar] [CrossRef] [PubMed]
  7. Mamidanna, R.; Almoudaris, A.M.; Faiz, O. Is 30-day mortality an appropriate measure of risk in elderly patients undergoing elective colorectal resection? Colorectal Dis. 2012, 14, 1175–1182. [Google Scholar] [CrossRef]
  8. Giannotti, C.; Sambuceti, S.; Signori, A.; Ballestrero, A.; Murialdo, R.; Romairone, E.; Scabini, S.; Caffa, I.; Odetti, P.; Nencioni, A.; et al. Frailty assessment in elective gastrointestinal oncogeriatric surgery: Predictors of one-year mortality and functional status. J. Geriatr. Oncol. 2019, 10, 716–723. [Google Scholar] [CrossRef]
  9. Quaglia, A.; Tavilla, A.; Shack, L.; Brenner, H.; Janssen-Heijnen, M.; Allemani, C.; Colonna, M.; Grande, E.; Grosclaude, P.; Vercelli, M. The cancer survival gap between elderly and middle-aged patients in Europe is widening. Eur. J. Cancer 2009, 45, 1006–1016. [Google Scholar] [CrossRef] [PubMed]
  10. Huisman, M.G.; Kok, M.; de Bock, G.H.; van Leeuwen, B.L. Delivering tailored surgery to older cancer patients: Preoperative geriatric assessment domains and screening tools—A systematic review of systematic reviews. Eur. J. Surg. Oncol. (EJSO) 2017, 43, 1–14. [Google Scholar] [CrossRef]
  11. Pamoukdjian, F.; Liuu, E.; Caillet, P.; Herbaud, S.; Gisselbrecht, M.; Poisson, J.; Boudou-Rouquette, P.; Zelek, L.; Paillaud, E. How to Optimize Cancer Treatment in Older Patients: An Overview of Available Geriatric Tools. Am. J. Clin. Oncol. 2019, 42, 109–116. [Google Scholar] [CrossRef] [PubMed]
  12. Montroni, I.; Ugolini, G.; Saur, N.M.; Spinelli, A.; Rostoft, S.; Millan, M.; Wolthuis, A.; Daniels, I.R.; Hompes, R.; Penna, M.; et al. Personalized management of elderly patients with rectal cancer: Expert recommendations of the European Society of Surgical Oncology, European Society of Coloproctology, International Society of Geriatric Oncology, and American College of Surgeons Commission on Cancer. Eur. J. Surg. Oncol. 2018, 44, 1685–1702. [Google Scholar] [CrossRef]
  13. Collard, M.K.; Moszkowicz, D.; Clause-Verdreau, A.-C.; Beauchet, A.; Cudennec, T.; Vychnevskaia, K.; Malafosse, R.; Peschaud, F. Postoperative morbidity and mortality for malignant colon obstruction: The American College of Surgeon calculator reliability. J. Surg. Res. 2018, 226, 112–121. [Google Scholar] [CrossRef] [PubMed]
  14. Angeli, E.; Chouahnia, K.; Canoui-Poitrine, F.; Duchemann, B.; Aparicio, T.; Paillaud, E.; Zelek, L.; Bousquet, G.; Pamoukdjian, F. Development, Validation and Clinical Impact of a Prediction Model for 6-Month Mortality in Older Cancer Patients: The GRADE. Aging (Albany N.Y.) 2020, 12, 4230–4246. [Google Scholar] [CrossRef]
  15. Pamoukdjian, F.; Aparicio, T.; Zebachi, S.; Zelek, L.; Paillaud, E.; Canoui-Poitrine, F. Comparison of mobility indices for predicting early death in older patients with cancer: The PF-EC cohort study. J. Gerontol. Ser. A 2019, 75, 189–196. [Google Scholar] [CrossRef] [PubMed]
  16. Soubeyran, P.; Bellera, C.; Goyard, J.; Heitz, D.; Curé, H.; Rousselot, H.; Albrand, G.; Servent, V.; Jean, O.S.; van Praagh, I.; et al. Screening for Vulnerability in Older Cancer Patients: The ONCODAGE Prospective Multicenter Cohort Study. PLoS ONE 2014, 9, e115060. [Google Scholar] [CrossRef]
  17. Miller, M.D.; Paradis, C.F.; Houck, P.R.; Mazumdar, S.; Stack, J.A.; Rifai, A.H.; Mulsant, B.; Reynolds, C.F. Rating chronic medical illness burden in geropsychiatric practice and research: Application of the Cumulative Illness Rating Scale. Psychiatry Res. 1992, 41, 237–248. [Google Scholar] [CrossRef]
  18. Gnjidic, D.; Hilmer, S.N.; Blyth, F.M.; Naganathan, V.; Waite, L.; Seibel, M.J.; McLachlan, A.J.; Cumming, R.G.; Handelsman, D.J.; Le Couteur, D.G. Polypharmacy cutoff and outcomes: Five or more medicines were used to identify community-dwelling older men at risk of different adverse outcomes. J. Clin. Epidemiol. 2012, 65, 989–995. [Google Scholar] [CrossRef]
  19. Katz, S.; Downs, T.D.; Cash, H.R.; Grotz, R.C. Progress in development of the index of ADL. Gerontologist 1970, 10, 20–30. [Google Scholar] [CrossRef] [PubMed]
  20. Lawton, M.P.; Brody, E.M. Assessment of older people: Self-maintaining and instrumental activities of daily living. Gerontologist 1969, 9, 179–186. [Google Scholar] [CrossRef]
  21. Raynaud-Simon, A.; Revel-Delhom, C.; Hébuterne, X.; French Nutrition and Health Program; French Health High Authority. Clinical practice guidelines from the French Health High Authority: Nutritional support strategy in protein-energy malnutrition in the elderly. Clin. Nutr. 2011, 30, 312–319. [Google Scholar] [CrossRef]
  22. Clément, J.P.; Nassif, R.F.; Léger, J.M.; Marchan, F. Development and contribution to the validation of a brief French version of the Yesavage Geriatric Depression Scale. Encephale 1997, 23, 91–99. [Google Scholar]
  23. Folstein, M.F.; Folstein, S.E.; McHugh, P.R. “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 1975, 12, 189–198. [Google Scholar] [CrossRef]
  24. Dindo, D.; Demartines, N.; Clavien, P.-A. Classification of surgical complications: A new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann. Surg. 2004, 240, 205–213. [Google Scholar] [CrossRef]
  25. Mehta, H.B.; Mehta, V.; Girman, C.J.; Adhikari, D.; Johnson, M.L. Regression coefficient–based scoring system should be used to assign weights to the risk index. J. Clin. Epidemiol. 2016, 79, 22–28. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Ghignone, F.; van Leeuwen, B.L.; Montroni, I.; Huisman, M.G.; Somasundar, P.; Cheung, K.L.; Audisio, R.A.; Ugolini, G. The assessment and management of older cancer patients: A SIOG surgical task force survey on surgeons’ attitudes. Eur. J. Surg. Oncol. (EJSO) 2016, 42, 297–302. [Google Scholar] [CrossRef]
  27. Novello, M.; Mandarino, F.V.; Di Saverio, S.; Gori, D.; Lugaresi, M.; Duchi, A.; Argento, F.; Cavallari, G.; Wheeler, J.; Nardo, B. Post-operative outcomes and predictors of mortality after colorectal cancer surgery in the very elderly patients. Heliyon 2019, 5, e02363. [Google Scholar] [CrossRef] [Green Version]
  28. Kenig, J.; Szabat, K.; Mituś, J.; Mituś-Kenig, M.; Krzeszowiak, J. Usefulness of eight screening tools for predicting frailty and postoperative short- and long-term outcomes among older patients with cancer who qualify for abdominal surgery. Eur. J. Surg. Oncol. 2020, 46, 2091–2098. [Google Scholar] [CrossRef]
  29. Ugolini, G.; Pasini, F.; Ghignone, F.; Zattoni, D.; Bacchi Reggiani, M.L.; Parlanti, D.; Montroni, I. How to select elderly colorectal cancer patients for surgery: A pilot study in an Italian academic medical center. Cancer Biol. Med. 2015, 12, 302–307. [Google Scholar] [CrossRef]
  30. Huisman, M.G.; Ghignone, F.; Ugolini, G.; Sidorenkov, G.; Montroni, I.; Vigano, A.; Carino, N.D.L.; Farinella, E.; Cirocchi, R.; Audisio, R.A.; et al. Long-Term Survival and Risk of Institutionalization in Onco-Geriatric Surgical Patients: Long-Term Results of the PREOP Study. J. Am. Geriatr. Soc. 2020, 68, 1235–1241. [Google Scholar] [CrossRef]
  31. Aquina, C.T.; Mohile, S.G.; Tejani, M.A.; Becerra, A.Z.; Xu, Z.; Hensley, B.J.; Arsalani-Zadeh, R.; Boscoe, F.P.; Schymura, M.J.; Noyes, K.; et al. The impact of age on complications, survival, and cause of death following colon cancer surgery. Br. J. Cancer 2017, 116, 389–397. [Google Scholar] [CrossRef] [Green Version]
  32. Pollock, Y.; Chan, C.-L.; Hall, K.; Englesbe, M.; Diehl, K.M.; Min, L. A Novel Geriatric Assessment Tool that Predicts Postoperative Complications in Older Adults with Cancer. J. Geriatr. Oncol. 2020, 11, 866–872. [Google Scholar] [CrossRef]
  33. Ahmed, A.; Deng, W.; Tew, W.; Bender, D.; Mannel, R.S.; Littell, R.D.; DeNittis, A.S.; Edelson, M.; Morgan, M.; Carlson, J.; et al. Pre-Operative Assessment and Post-Operative Outcomes of Elderly Women with Gynecologic Cancers, Primary Analysis of NRG CC-002: An NRG Oncology Group/Gynecologic Oncology Group Study. Gynecol. Oncol. 2018, 150, 300–305. [Google Scholar] [CrossRef]
  34. Daniels, S.L.; Lee, M.J.; George, J.; Kerr, K.; Moug, S.; Wilson, T.R.; Brown, S.R.; Wyld, L. Prehabilitation in elective abdominal cancer surgery in older patients: Systematic review and meta-analysis. BJS Open 2020, 4, 1022–1041. [Google Scholar] [CrossRef]
Figure 1. Bar plot of the 30-day post-operative complications among 136 older patients with major cancer surgery.
Figure 1. Bar plot of the 30-day post-operative complications among 136 older patients with major cancer surgery.
Cancers 14 00117 g001
Figure 2. 5-year Kaplan-Meier survival according to the GRADE score for 136 older patients with major cancer surgery.
Figure 2. 5-year Kaplan-Meier survival according to the GRADE score for 136 older patients with major cancer surgery.
Cancers 14 00117 g002
Table 1. Baseline characteristics and comparison of 136 older patients with major cancer surgery according to the GRADE score.
Table 1. Baseline characteristics and comparison of 136 older patients with major cancer surgery according to the GRADE score.
VariablesWhole CohortGRADE ≤ 8GRADE > 8p *
Low-RiskHigh-Risk
n = 136 (%)n = 68 (%)n = 68 (%)
Age, y
Mean ± SD80 ± 778 ± 782 ± 70.0008
65–7432 (23.5)20 (29)12 (18)0.09
75–8466 (48.5)34 (50)32 (47)
≥8538 (28)14 (21)24 (35)
Gender (male)71 (52)42 (62)29 (43)0.02
Outpatient (yes)108 (79)60 (88)48 (70)0.25
Cancer site: 0.25
Colorectal99 (73)47 (69)52 (76)
Others †37 (27)21 (31)16 (24)
Local and locally-advanced cancer (yes)107 (79)62 (91)45 (66)<0.0001
ASA scale > 260 (44)21 (31)39 (57)0.001
ECOG > 238 (28)9 (13)29 (43)0.0001
G8-index £ 14/17 (n = 133)112 (84)50 (73)62 (91)0.007
Comorbidities:
CIRSG total ≥ 1467 (49)29 (43)38 (56)0.12
Polypharmacy (yes)88 (65)42 (62)46 (68)0.47
Dependency
ADL £ 5/645 (33)12 (18)33 (48)0.0001
IADL £ 3/476 (56)26 (38)50 (73)<0.0001
Malnutrition
BMI < 21 kg/m2 (n = 134)18 (13)8 (12)10 (15)0.56
Depressed mood
Mini-GDS ≥ 1/451 (37.5)22 (32)29 (43)0.21
Cognition (n = 91)
MMSE < 24/3041 (45)19 (28)22 (32)0.03
30-day post-operative complications
Clavien-Dindo ≥ 191 (67)41 (60)50 (73)0.1
Clavien-Dindo ≥ 3a (severe)50 (37)19 (28)31 (46)0.03
* χ2 test or Fisher’s exact test for categorical variables as appropriate; Bold = significant p value (<0.05). †: gastric (n = 17); pancreas (n = 8); oesophagus (n = 3); bile-duct (n = 2); gastrointestinal and stromal tumours (n = 2); anus (n = 1); ovarian (n = 3); uterus (n = 1). ASA: American Society Anesthesiology; ECOG-PS: Eastern Cooperative Oncology Group Performance Status; CIRSG: Cumulative Illness Rating Scale Geriatric; ADL: Activities of Daily Living; IADL: Instrumental-ADL; BMI: Body Mass Index; Mini-GDS: Mini-Geriatric Depression Scale; MMSE: Mini Mental State Examination.
Table 2. Preoperative factors associated with 5-year mortality among 136 older patients with major cancer surgery.
Table 2. Preoperative factors associated with 5-year mortality among 136 older patients with major cancer surgery.
VariablesUnivariate AnalysisMultivariate Analysis
HR(95% CI)p *aHR(95% CI)p *
Age (per 1 SD of more)1.051.01–1.100.02-
Gender (male)0.610.34–1.090.09-
Outpatients (yes)0.550.29–1.060.07-
GRADE score 0.0001
≤8 (low risk)1 (reference)1 (reference)-0.005
>8 (high risk)3.471.85–6.542.64(1.34–5.21)
ASA scale > 23.431.87–6.30<0.0001-
ECOG-PS > 23.421.88–6.23<0.0001-
G8-index £ 14/17 (n = 133)3.090.96–10.00.05-
Comorbidities:
CIRSG total ≥ 141.951.09–3.510.02-
Polypharmacy (yes)1.630.86–3.100.13-
Dependency
ADL £ 5/62.221.24–3.980.007 -
IADL £ 3/44.322.13–8.73<0.00012.95(1.40–6.23)0.004
Malnutrition
BMI < 21 kg/m2 (n = 134)2.661.35–5.250.0042.97(1.49–5.93)0.002
Depressed mood
Mini-GDS ≥ 1/41.881.06–3.330.03-
Cognition (n = 91)
MMSE < 24/302.611.18–5.730.01-
* p value for log-rank test; Bold = significant p value (<0.05); ASA: American Society Anesthesiology; ECOG-PS: Eastern Cooperative Oncology Group Performance Status; CIRSG: Cumulative Illness Rating Scale Geriatric; ADL: Activity of Daily Living; IADL: Instrumental-ADL; BMI: Body Mass Index; Mini-GDS: Mini-Geriatric Depression Scale; MMSE: Mini Mental State Examination; NA: Non-Available.
Table 3. 5-year risk of death according to the pre-operative GRADE score among older patients undergoing major cancer surgery.
Table 3. 5-year risk of death according to the pre-operative GRADE score among older patients undergoing major cancer surgery.
Risk of Death
GRADEMedian Survival (Months)12 m24 m36 m50 m62 m
≤8 (low risk)NR8%13%22%29%29%
>8 (high risk)34.2 (19.2–50.1)31%37%55%62%74%
NR: not reached.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wind, P.; ap Thomas, Z.; Laurent, M.; Aparicio, T.; Siebert, M.; Audureau, E.; Paillaud, E.; Bousquet, G.; Pamoukdjian, F. The Pre-Operative GRADE Score Is Associated with 5-Year Survival among Older Patients with Cancer Undergoing Surgery. Cancers 2022, 14, 117. https://doi.org/10.3390/cancers14010117

AMA Style

Wind P, ap Thomas Z, Laurent M, Aparicio T, Siebert M, Audureau E, Paillaud E, Bousquet G, Pamoukdjian F. The Pre-Operative GRADE Score Is Associated with 5-Year Survival among Older Patients with Cancer Undergoing Surgery. Cancers. 2022; 14(1):117. https://doi.org/10.3390/cancers14010117

Chicago/Turabian Style

Wind, Philippe, Zoe ap Thomas, Marie Laurent, Thomas Aparicio, Matthieu Siebert, Etienne Audureau, Elena Paillaud, Guilhem Bousquet, and Frédéric Pamoukdjian. 2022. "The Pre-Operative GRADE Score Is Associated with 5-Year Survival among Older Patients with Cancer Undergoing Surgery" Cancers 14, no. 1: 117. https://doi.org/10.3390/cancers14010117

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop