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Article

Association of Pretreatment Physical and Geriatric Parameters with Treatment Tolerance and Survival in Elderly Patients with Stage I–II Non-Small Cell Lung Cancer: An Evaluation of Usual Care Data

by
Melissa J. J. Voorn
1,2,3,*,
Merle F. R. Bootsma
4,
Gerben P. Bootsma
4,
Vivian E. M. van Kampen-van den Boogaart
5,
Geerten J. A. van Riet
6,
Dirk K. de Ruysscher
7,
Bart C. Bongers
8,9 and
Maryska L. G. Janssen-Heijnen
1,3
1
Department of Clinical Epidemiology, VieCuri Medical Center, 5912 BL Venlo, The Netherlands
2
Adelante Rehabilitation Center, 5912 BL Venlo, The Netherlands
3
Department of Epidemiology, GROW School for Oncology and Developmental Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
4
Department of Pulmonology, Zuyderland Medical Center, 6419 PC Heerlen, The Netherlands
5
Department of Pulmonology, VieCuri Medical Center, 5912 BL Venlo, The Netherlands
6
Department of Geriatrics, Zuyderland Medical Center, 6419 PC Heerlen, The Netherlands
7
Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6200 MD Maastricht, The Netherlands
8
Department of Nutrition and Movement Sciences, Nutrition and Translational Research in Metabolism (NUTRIM), Faculty of Health, Medicine and Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
9
Department of Epidemiology, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
*
Author to whom correspondence should be addressed.
Cancers 2022, 14(23), 5994; https://doi.org/10.3390/cancers14235994
Submission received: 17 October 2022 / Revised: 26 November 2022 / Accepted: 28 November 2022 / Published: 5 December 2022
(This article belongs to the Special Issue Lifestyle Modifications and Survival of Cancer Patients)

Abstract

:

Simple Summary

Non-small cell lung cancer is predominantly a disease of older people in whom treatment intolerance is common. To make well-informed shared decisions concerning treatment options, pretreatment screening and/or assessment might be useful to identify patients who are expected to benefit from preventive lifestyle interventions. These interventions aim to improve a patient’s physical fitness before and during cancer treatment, resulting in improved treatment tolerance and a reduction of posttreatment complications. In this study, different physical and geriatric parameters were associated with treatment intolerance and survival in patients ≥70 years with stage I–II NSCLC undergoing surgery or stereotactic ablative radiotherapy. Evaluation of pretreatment physical and geriatric performance seems highly recommended for shared decision-making and selection of patients who might benefit from preventive interventions before and/or during treatment.

Abstract

In this study, the association of pretreatment physical and geriatric parameters with treatment tolerance and survival in elderly patients with stage I–II NSCLC was evaluated. Retrospective data for patients aged ≥70 years, diagnosed between 2016 and 2020 with stage I–II NSCLC, and who underwent surgery or stereotactic ablative radiotherapy (SABR) in a large Dutch teaching hospital were retrieved from medical records. Associations of pretreatment physical and geriatric parameters with treatment tolerance and survival were analyzed. Of 160 patients, 49 of 104 (47%) patients who underwent surgery and 21 of 56 (38%) patients who received SABR did not tolerate treatment. In univariable analysis, World Health Organization (WHO) performance status ≥ 2, short nutritional assessment questionnaire score > 1, short physical performance battery score ≤ 9, and geriatric-8 score ≤ 14 were significantly associated with postoperative complications. Forced expiratory volume of one second < 80% of predicted was significantly associated with intolerance of SABR. In multivariable analysis, WHO performance status ≥ 2 and diffusing capacity for carbon monoxide < 80% were significantly associated with decreased overall survival. This is the first study that investigated the association between pretreatment physical and geriatric parameters and treatment outcomes in patients with stage I–II NSCLC. Evaluation of physical and geriatric parameters before treatment initiation seems highly recommended to select patients who might benefit from preventive interventions before and/or during treatment.

1. Introduction

Lung cancer is the leading cause of cancer mortality worldwide [1]. It is predominantly a disease of older people, with half of all newly diagnosed patients being ≥70 years of age [1]. According to European guidelines [2], surgery is advised for relatively fit patients with resectable early-stage (stage I–II) non-small cell lung cancer (NSCLC). Stereotactic ablative radiotherapy (SABR) is the advised treatment for inoperable patients (e.g., due to a low physical fitness) and has shown similar survival rates [3]. Intensive treatment allows for longer disease-free and overall survival [3,4], but is often accompanied by treatment intolerance, such as no completion of treatment and/or unplanned hospitalizations [5]. In 2018, >35% of all operated patients with NSCLC had a postoperative complication, such as prolonged air leakage, bronchopneumonia, or bleeding. In patients undergoing SABR, 5–10% patients suffered from toxicity, such as dyspnea, pneumonitis, or lung fibrosis [6,7]. Patients with a higher risk for treatment complications are often characterized as aged ≥70 years, having tobacco-related comorbidity and/or cognitive impairment, being physically inactive and/or malnourished, and/or especially as having a low physiological reserve capacity (low aerobic fitness) [8,9].
In addition to making well-informed shared decisions concerning treatment options, pretreatment screening and/or assessment might be used to identify patients who are expected to benefit from pretreatment lifestyle interventions. These prehabilitation interventions aim to improve a patient’s physical fitness before and during cancer treatment. The comprehensive geriatric assessment (CGA) is a systematic procedure that objectively appraises the health status of elderly people, thereby focusing on somatic, functional, and psychosocial domains [10,11] and aiming to determine the presence of frailty in older people. Frailty is a loss of resources in several domains of functioning, which leads to a declined reserve capacity for dealing with psychophysiological stressors [12]. The CGA has historically been adopted to identify elderly patients who are unfit for intense oncologic treatment, but is time-consuming and therefore costly. Next to a geriatric assessment, specific physical function in older adults can be assessed by performance tests [13]. Timely identifying high-risk patients before the start of treatment is important to be able to initiate preventive interventions to improve treatment outcomes. It is still unclear to what extent these physical and geriatric tests are associated with treatment tolerance and survival in patients with NSCLC [14]. The aim of the present study was to gain insight into the association of pretreatment physical and geriatric parameters with treatment tolerance and survival in elderly patients with stage I–II NSCLC by evaluating usual care data.

2. Materials and Methods

2.1. Study Design and Patients

In this retrospective cohort study, real world usual care data from the medical records from Zuyderland, a large teaching hospital in the Netherlands, were used. This study started after approval of the Medical Research Ethics Committee Zuyderland (reference number: METCZ20200181). As a pretreatment physical and geriatric assessment is usual care for patients aged ≥70 years in Zuyderland, data of all patients aged ≥70 years who underwent curative intent treatment for stage I–II NSCLC (surgery or SABR) between 2016 and 2020 were included. Patients who underwent surgery or adjuvant chemotherapy for NSCLC in the year before diagnosis of the current tumor, patients who had radiotherapy to the ipsilateral thorax or mediastinum, patients with clinical superior vena cava syndrome, and patients who underwent previous cancer treatment within the last 3 years were excluded, because of the risk of biased outcomes.

2.2. Measurements

2.2.1. Pretreatment Patient Characteristics

The following patient characteristics were obtained from the electronic patient files: age at diagnosis, sex (male, female), smoking status (current, former, never), lung cancer histology (adenocarcinoma, squamous cell carcinoma, large cell carcinoma/not otherwise specified), stage of disease (classified according to the clinical classification of the Tumor Node Metastases (cTNM) supplemented with the pathological TNM (8th edition of the TNM classification for non-small lung cancer) [15]), World Health Organization (WHO) performance status, adult comorbidity index-27 (ACE-27), body mass index (BMI), and the short nutritional assessment questionnaire (SNAQ). The WHO performance status was assessed by the case manager or pulmonologist to indicate the level of performance. Patients with a score ≥2 were classified as patients with a poor performance status [16]. Comorbidities were obtained using the ACE-27, a validated chart-based instrument. The ACE-27 grades specific conditions into levels of severity, grade 1 (mild), grade 2 (moderate), or grade 3 (severe). Based on the highest ranked single ailment, an overall comorbidity score (none to mild comorbidity (0 to 1) or moderate to severe comorbidity (≥2)) was assigned [10]. BMI was calculated as body mass divided by body height squared. BMI was categorized as underweight (<18.5 kg/m2) and normal and overweight (>18.5 kg/m2). Nutritional status was scored according to the SNAQ and subdivided into two categories: normal nutritional status (≤1) or malnourished (>1) [17].

2.2.2. Pretreatment Physical Performance Parameters at Baseline

The following baseline physical performance parameters were obtained from the electronic patient files: forced expiratory volume in 1 second (FEV1), diffusing capacity for carbon monoxide (DLCO), short physical performance battery (SPPB), timed up-and-go (TUG) test, and handgrip strength (HGS). FEV1 and DLCO were both measured according to the ATS/ERS guideline [18] and expressed as a percentage of predicted based on sex and age [19]. Using spirometry, patients were asked to breathe in as deeply as possible, and then exhale as hard, quickly, and long as possible [18,20]. DLCO is a medical test that determines how much oxygen travels from the alveoli of the lungs to the blood stream [18]. Scores ≤ 80% of predictive for FEV1 and DLCO were classified as low [2]. The SPPB consists of (1) the ability to stand for up to 10 seconds with feet positioned in three ways (together side-by-side, semi-tandem, and tandem), (2) time to complete a 4-meter walk, and (3) time to rise from a chair five times without the hands resting on the armrests [21]. A total score < 9 points was indicated as having a lower level of functioning [21]. The TUG test measures of the duration required for the patient to rise from a chair, walk over a distance of 3 meters, turn around, walk back, and sit on the chair [22]. A score >12 seconds was indicated as having a lower level of functioning [22]. HGS is a reliable measure of maximum grip force evaluated using a handheld dynamometer (JAMAR Hydraulic Hand Dynamometer, JA Preston Corporation, Jackson, MI, USA) and was included as a measure of muscle strength. A value below the 10th percentile of the UK Biobank reference values, taking sex, age, and body height into account, in at least one side, was considered as handgrip weakness [23].

2.2.3. Pretreatment Geriatric Assessment at Baseline

Based on the outcomes of a geriatric assessment and predefined cut-off points, patients were classified as fit or (pre)frail. The G8 screening tool consists of an 8-item questionnaire. It places significant weight on nutritional status (46% of the total score), but also focuses on functional mobility, neuropsychological problems, medication use, self-rated health status, and age [24]. Geriatric impairment was defined as a score ≤14 on the G8 screening tool [24]. The Groningen frailty indicator (GFI) is a short and easy to administer 15-item screening questionnaire to determine a person’s level of frailty [12]. The GFI screens for the loss of functions and resources in 4 domains of functioning: physical (functional mobility, multiple health problems, physical fatigue, vision, hearing), cognitive (cognitive functioning), social (emotional isolation), and psychological (depressed mood and feelings of anxiety). Geriatric impairment was defined as a score ≥4 on the GFI [12]. The definition of CGA vulnerability was based on previous research and defined as meeting the cut-off scores for impairment in two or more CGA domains [25,26], as an impairment in ≥2 domains has been found to increase the risk for future disability or mortality [27]. The following measurements were included in the CGA. Cognitive performance was measured by the Montreal cognitive assessment (MoCa) with a score <26 indicating cognitive impairment [28]. Depression was assessed with the hospital anxiety and depression scale (HADS) (>8 demonstrating at risk for depression) was used for psychological distress [29]. The instruments of Barthel and Katz were used to quantify the activities of daily living (ADL) (<10 indicating dependency) [16,30], the Lawton and Brody instrument for the instrumental activities of daily living (IADL) (<5 male/<8 female representing dependency) [31], history of falls (≥1), and the mini nutritional assessment (MNA) (<24 indicating at risk for malnutrition score) for nutritional status [32].

2.3. Outcomes of Treatment Tolerance and Survival

In case of surgery, treatment intolerance was defined as at least one of the following events occurring during a 30-day postoperative period: complications classified as Clavien-Dindo grade 2 or higher [33], at least one readmission, and/or a postoperative hospital length of stay > 5 days. In case of SABR, treatment intolerance was defined as toxicities grade 3 or higher according to the common terminology criteria for adverse events (CTCAE, v6.0) and/or at least one readmission. Overall survival (OS) was calculated as time from diagnosis of lung cancer until death from all causes.

2.4. Statistical Analyses

Data was analyzed using IBM SPPS Statistics for Windows version 24 (IBM Corp., Armonk, NY, USA). Descriptive statistics were used to summarize patient characteristics and cross-tabulations were used to analyze associations between pretreatment baseline patient and tumor characteristics, physical performance parameters, geriatric performance parameters, and type of treatment using chi2 tests for categorical variables and analysis of variance (ANOVA) for continuous variables. Associations of pretreatment baseline patient and tumor characteristics, physical performance parameters, and geriatric parameters with treatment intolerance were analyzed by univariable binary logistic regression analysis, according to treatment type. Because of small numbers, p-values < 0.10 were considered statistically significant. The odds ratios (ORs) and corresponding 90% confidence intervals (CIs) were displayed. An OR > 1.0 indicated poorer tolerance of treatment. Patients who were alive at the end of the study were censored. Univariable hazard ratios (HRs) and 90% CIs for associations of patient and tumor characteristics, physical parameters, geriatric parameters, and type of treatment with OS were calculated by Cox proportional hazards analyses. Because of small numbers, associations with a p-value <0.10 were considered statistically significant. Parameters with a p-value <0.10 in the univariable analyses were selected for the multivariable regression analyses. Worse survival compared to the reference group was indicated by a HR >1.0.

3. Results

3.1. Pretreatment Patient Characteristics and Physical and Geriatric Parameters

Data of 160 consecutive patients aged ≥70 years who were diagnosed with stage I–II NSCLC were included. An overview of patient and tumor characteristics according to type of treatment is presented in Table 1. Initial treatment consisted of surgery in 104 patients (65.0%) and SABR in 56 patients (35.0%). Stage I NSCLC was more common in patients receiving SABR (89.3%) compared to those undergoing surgery (60.6%). Patients receiving SABR had a statistically significant higher mean age (78.3 years) compared to patients undergoing surgery (75.7 years). Of the patients undergoing surgery, 58.7% had an adenocarcinoma and 41.3% had a squamous cell carcinoma, compared to 21.4% and 8.9% respectively for patients receiving SABR. In addition, stage I disease, WHO performance status ≥ 2, ACE-27 score ≥ 2, BMI < 18.5 kg/m2, SNAQ score > 1, FEV1 and DLCO < 80% of predicted, SPPB score ≤ 9, TUG test > 12 seconds, G8 ≤ 14, and GFI ≥ 4 were significantly more present among patients receiving SABR than among those undergoing surgery.
A geriatric assessment was completed in 63.1% of the included patients. Geriatric assessment was omitted more often in patients undergoing SABR than in patients undergoing surgery. Patients who did not undergo a CGA more often had a large cell carcinoma/not otherwise specified and fewer readmissions. An overview of patient, tumor, and treatment characteristics in subgroups of fit patients, frail patients, and patients who did not undergo a CGA is shown in Table 2.

3.2. Treatment Intolerance

A total of 70 patients (43.7%) did not tolerate treatment. Treatment intolerance occurred in 49 of 104 (47.1%) patients undergoing surgery and in 21 of 56 (37.7%) patients receiving SABR. Type of treatment intolerance, stratified for type of treatment, is shown in Table 3. In univariable regression analyses in patients undergoing surgery, stage II disease (OR 2.54), WHO performance status ≥2 (OR 4.46), SNAQ score > 1 (OR 2.84), SPPB score ≤ 9 (OR 4.14), G8 score ≤ 14 (OR 3.79), or a GFI score ≥ 4 (OR 3.40) were significantly associated with postoperative complications. An FEV1 < 80% of predicted (OR 5.33) was significantly associated with treatment intolerance in univariable regression analyses in patients receiving SABR. Results of the univariable regression analyses for intolerance of surgery respectively SABR are shown in Table 4.

3.3. Overall Survival

Median follow-up was 49 months. Median overall survival for the total group was 41 months, and at the time of analysis 50 patients (31.3%) had died. In univariable analyses, SABR (HR 2.00), squamous cell carcinoma or large cell carcinoma/not otherwise specified (HR 2.52 and 2.89), a WHO performance status ≥2 (HR 2.25, p < 0.01: Figure 1), a BMI < 18.5 kg/m2 (HR 2.69), a DLCO < 80% of predicted (HR 2.97, p < 0.01: Figure 1), a SPPB score ≤ 9 (HR 2.21), a TUG test > 12 seconds (HR 3.42), and treatment intolerance (HR 2.26) were significantly associated with poorer survival. The following factors were analyzed for their association with survival in multivariable analyses: type of treatment, histology, WHO performance status, and DLCO. Squamous cell carcinoma (HR 2.37), WHO performance status ≥ 2 (HR 2.03), and DLCO <80% of predicted (HR 2.37) remained significantly associated with poorer survival. Geriatric assessment variables were not included due to high proportions of missing values, whereas BMI was not included in multivariate analysis, because of a very low percentage of patients being underweight. Due to the high proportion of missing cases, the SPPB and TUG test were also excluded from multivariable analyses. Results of univariable and multivariable Cox regression analyses for survival are shown in Table 5.

4. Discussion

The aim of this study was to investigate associations of pretreatment physical and geriatric parameters with treatment tolerance and survival in patients aged ≥ 70 years with stage I–II NSCLC. Results demonstrated that several physical parameters and a limited number of pretreatment geriatric parameters were associated with treatment tolerance, with worse scores indicating a higher risk for adverse treatment outcomes. Moreover, worse performance on pretreatment physical parameters were significantly associated with reduced overall survival, whereas pretreatment geriatric parameters were not associated with survival.
In this study, patients with an FEV1 < 80% of predicted were more often selected for SABR, which is in line with European guidelines [2]. According to these guidelines [2], surgical risk is not increased when FEV1 and the DLCO are both ≥ 80% of predicted. Almost half (46%) of the patients with a WHO performance status ≥2 underwent SABR. Current study results and results of a previous study [34] therefore suggest that FEV1, DLCO, and WHO performance status have an added value in identifying patients at high risk for postoperative complications who are therefore advised to undergo SABR. However, even in patients with an adequate WHO performance status (0–1), outcome is heterogeneous [35], because geriatric impairments can still be present in patients with a WHO performance status of 0 or 1 (65.7%). Therefore, a more detailed evaluation of patient’s functional status may be of added value in addition to WHO performance status.
Regarding physical parameters, only a SPPB score ≤ 9 and SNAQ score > 1 were associated with a higher risk for postoperative complications in this study, whereas a FEV1 <80% of predicted was related with a higher risk for intolerance of SABR. In addition to demonstrating that pretreatment screening of physical status is associated with both treatment intolerance and survival, information on the associations between physical status and recovery of physical functioning is also essential to make adequate treatment decisions together with patients. Also, specific pretreatment assessment of aerobic fitness using a cardiopulmonary exercise test (CPET) [36], steep ramp test (a short maximal test on a cycle ergometer that is strongly related to aerobic fitness) [37], or incremental shuttle walk test (iSWT) [38] with adequate cut-off points in patients with NSCLC might improve pretreatment risk assessment. A systematic review reported that a better performance on preoperative exercise tests, especially a higher aerobic fitness as objectively measured by the CPET, was associated with a lower risk for postoperative complications in patients with NSCLC [39]. Moreover, the iSWT and steep ramp test for estimating a patient’s preoperative aerobic fitness [37,38] might also be used to timely identify high-risk patients who might benefit from lifestyle interventions (e.g., physical exercise training) before and during cancer treatment (prehabilitation and early rehabilitation, respectively) [40].
In the current univariable analyses, physical parameters were associated with poorer survival in patients undergoing surgery or SABR. This agrees with a previous study in patients with lung cancer [41]. The association between physical parameters and survival might partly be explained by the fact that patients with a poor physical status suffered more often from treatment intolerance. This means that especially patients with a poor physical status could benefit from pretreatment preventive lifestyle interventions. Physical exercise training on top of medical treatment could optimize physical status, leading to better tolerance of intensive treatment [42] and preservation of physical functioning. This can be achieved by exercise prehabilitation (physical exercise training before treatment initiation). The physiological reserve capacity can be increased by a combination of aerobic and resistance training [42]. Even better outcomes might be achieved when the diet is adapted to the needs of training as well, including healthy and protein-rich products [43]. The univariable analysis also showed that patients receiving SABR had a significantly worse survival than patients undergoing surgery. However, this association disappeared after adjusting for differences in baseline characteristics between patients undergoing surgery and patients receiving SABR. This is in line with previous research demonstrating that outcomes between SABR and surgery for operable patients with stage I NSCLC are comparable [5]. For shared decision-making, it is therefore important to gain insight into patient characteristics that are associated with the risks and benefits of both treatment options [5].
With respect to pretreatment geriatric parameters, a frailty score determined from the geriatric screening tools G8 or GFI was associated with complications after surgery, but not with intolerance of SABR. The latter is in line with previous research in patients with head and neck cancer undergoing radiotherapy [44]. It is likely that the gradual increase in complaints during radiation treatment in vulnerable patients is better tolerated than the major impact of the surgery-induced stress response. As frailty refers to decreases in physiological reserves after a stressful event [45], one can speculate that the duration and intensity of the stress response are an important aspect. In contrast, when the stress response is prolonged and less intense, which is the case with radiation therapy, the patient can adapt to disrupted homeostasis. Although not supported by the current study findings, a geriatric assessment is able to detect unidentified but manageable problems [46]. Therefore, a geriatric screening might lead to better outcomes using targeted prehabilitation interventions to improve treatment tolerance and by adjusting oncologic treatment plans in the elderly cancer population [46].
Despite the novelty of prognostic physical and geriatric parameters in patients with NSCLC aged > 70 years and undergoing surgery or SABR, results reported in this study need to be interpreted with caution due to some limitations. In the current retrospective observational study, a geriatric assessment was not performed in 36.9% of the patients. To provide a good overview of usual care data, it was decided to present all data and to also provide insight into the group without pretreatment geriatric assessments. Due to the large proportion of missing data, information from detailed geriatric and physical parameters could unfortunately not be included in the multivariable regression analyses. This might have biased the results, since the group of patients in whom no geriatric assessment had been performed more often received SABR, more often had a large cell carcinoma/not otherwise specified, and had fewer readmissions. Failure to refer a patient for a pretreatment geriatric assessment might be explained by the fact that SABR has become the standard of care for medically inoperable early-stage NSCLC [47], regardless of poor WHO performance status or physical status. However, both the International Society for Geriatric Oncology and the National Comprehensive Cancer Network recommend that elderly patients with cancer undergo a geriatric assessment prior to treatment decisions to detect problems which may not promptly be identified by routine physical examinations or medical history. This geriatric assessment can be used to predict treatment intolerance and survival, and to support treatment decisions [48]. Furthermore, only patients who were already selected for surgery or SABR were included in this study. This means that results were predominantly based on relatively fit patients. Therefore, caution is warranted when extrapolating the current results.
A worse physical and geriatric status is often associated with treatment intolerance and worse survival in patients with cancer, especially in those undergoing surgery [49]. However, uncertainty remains in this study about the discriminative power of the used physical and geriatric screening and assessment tools for selecting patients for the right treatment and to discuss the risks and benefits of the treatment with the patient. According to the current study results and results from a previous study [39], it appears to be useful to use pretreatment physical performance tests for assessing physical fitness (e.g., aerobic fitness, functional mobility) to select patients who might benefit from preventive interventions before and during treatment. For future research, it is recommended to conduct a large prospective multicenter study in which a large group of patients aged ≥70 years of age perform easy-to-use physical exercise tests and geriatric assessments before treatment initiation to clarify which (combination of) pretreatment parameters are predictive for treatment tolerance and survival. This may contribute to the development of a multimodal tool for pretreatment risk assessment.

5. Conclusions

Several physical and geriatric parameters were associated with treatment tolerance and survival in patients aged ≥ 70 years with stage I–II NSCLC undergoing surgery or SABR, in which worse scores indicate a higher risk for adverse treatment outcomes. An evaluation of pretreatment physical and geriatric performance seems highly recommended for shared decision-making and selecting patients who might benefit from preventive interventions before and/or during treatment. Further research is needed, particularly in patients receiving SABR, to investigate the ability of pretreatment physical exercise tests and geriatric assessments to accurately identify patients with stage I–II NSCLC who have an increased risk for treatment intolerance, as these patients might benefit from prehabilitation interventions to improve their physical performance status before treatment initiation.

Author Contributions

M.J.J.V., M.F.R.B., G.P.B., B.C.B. and M.L.G.J.-H. were involved in the conception, design of the study, data analysis, and interpretation. M.J.J.V., B.C.B. and M.L.G.J.-H. wrote the manuscript draft with input from G.P.B., M.J.J.V., M.F.R.B., G.P.B., V.E.M.v.K.-v.d.B., G.J.A.v.R., D.K.d.R., B.C.B. and M.L.G.J.-H. reviewed and critiqued the manuscript, and all authors approved the final version. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by an unconditional research grant (E.19.31.018-4) from the Research and Innovation Fund VieCuri (Fonds Wetenschap en Innovatie VieCuri, Venlo, the Netherlands). This research has not received any specific grants from funding agencies in the public, commercial, or not-for-profit sectors.

Institutional Review Board Statement

This study started after approval of the Medical Research Ethics Committee Zuyderland (reference number: METCZ20200181).

Informed Consent Statement

According to the Dutch guidelines and as approved by the Ethics Committee (according to the relevant legalization: Burgerlijk Wetboek (Boek 7, titel 7, afdeling 5 BW), also referred to as the Wet op de geneeskundige behandelingsovereenkomst (WGBO)), we did not request informed consent from the patients a, because this study meets the following requirements: the study data was copied directly from the source file into a digital case report form, and this contained no identifiable patient data.

Data Availability Statement

The data that support the findings of this study are available from Zuyderland Medical Center, but restrictions apply to the availability of these data. The data have been used under license for the current study and are therefore not publicly available. Data might however become available from the authors upon reasonable request and only after obtained permission from Zuyderland Medical Center.

Conflicts of Interest

The authors declare that they have no competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Figure 1. Kaplan–Meier survival curves for patients with non-small cell lung cancer who underwent surgery or stereotactic ablative radiotherapy. (A). Kaplan–Meier survival curve according to pretreatment World Health Organization (WHO) performance status (Log rank: p < 0.01). (B). Kaplan–Meier survival curve according to pretreatment diffusing capacity for carbon monoxide (DLCO) (Log rank: p < 0.01).
Figure 1. Kaplan–Meier survival curves for patients with non-small cell lung cancer who underwent surgery or stereotactic ablative radiotherapy. (A). Kaplan–Meier survival curve according to pretreatment World Health Organization (WHO) performance status (Log rank: p < 0.01). (B). Kaplan–Meier survival curve according to pretreatment diffusing capacity for carbon monoxide (DLCO) (Log rank: p < 0.01).
Cancers 14 05994 g001
Table 1. Overview of patient and tumor characteristics (including pretreatment physical and geriatric parameters at baseline) of patients with stage I–II NSCLC aged ≥70 years according to treatment modality.
Table 1. Overview of patient and tumor characteristics (including pretreatment physical and geriatric parameters at baseline) of patients with stage I–II NSCLC aged ≥70 years according to treatment modality.
ParametersSurgery
n = 104
n (%)
SABR
n = 56
n (%)
p-Value
Mean ± SD age (years)75.7 ± 4.378.3 ± 5.2<0.01
Sex
Male61 (58.7)32 (57.1)0.85
Female43 (41.3)24 (42.9)
Smoking status
Current36 (34.6)20 (35.7)
Former52 (50.0)30 (53.6)0.61
Never15 (14.4)5 (8.9)
Lung cancer histology
Adenocarcinoma61 (58.7)12 (21.4)
Squamous cell carcinoma43 (41.3)5 (8.9)<0.01
Large cell carcinoma/not otherwise specified0 (0.0)39 (69.6)
Stage of disease
Stage I63 (60.6)50 (89.3)<0.01
Stage II41 (39.4)6 (10.7)
WHO performance status
0–183 (79.8)30 (53.6)
≥217 (16.3)26 (46.4)<0.01
Unknown4 (3.8)0 (0.0)
ACE-27
0–177 (74.8)32 (58.2)0.03
≥226 (25.2)23 (41.8)
BMI
Normal and overweight (>18.5 kg/m2)101 (97.1)50 (89.3)
Underweight (<18.5 kg/m2)3 (2.9)5 (8.9)0.09
Unknown a0 (0.0)1 (1.8)
SNAQ score
Adequate nutritional status (≤1)87 (83.7)39 (69.6)0.04
Malnourished (>1)16 (15.4)16 (28.6)
Pretreatment physical parameters
FEV1
≥80% of predicted57 (54.8)16 (28.6)
<80% of predicted47 (45.2)37 (66.1)<0.01
Unknown a0 (0.0)3 (5.4)
DLCO
≥80% of predicted36 (34.6)6 (10.7)
<80% of predicted62 (59.6)46 (82.1)<0.01
Unknown a6 (5.8)4 (7.1)
SPPB score
Higher level of functioning (>9)25 (24.0)8 (14.3)
Lower level of functioning (≤9)47 (45.2)17 (30.4)<0.01
Not assessed b32 (30.8)31 (55.4)
TUG test
Higher level of functioning (≤12 s)56 (53.8)16 (28.6)
Lower level of functioning (>12 s)5 (4.8)5 (8.9)0.06
Not assessed b43 (41.3)35 (62.5)
Handgrip strength c
Normal48 (46.2)17 (30.4)
Weak5 (4.8)2 (3.6)0.89
Not assessed b51 (49.0)37 (66.1)
Pretreatment geriatric parameters
G8
Fit (>14)31 (29.8)6 (10.7)
Frail (≤14)37 (35.6)19 (33.9)0.06
Not assessed b36 (34.6)31 (55.4)
GFI
Fit (<4)43 (41.3)9 (16.1)
Frail (≥4)29 (27.9)18 (32.1)0.02
Not assessed b32 (30.8)29 (51.8)
Pretreatment comprehensive geriatric assessment
CGA
Fit (<2)24 (23.1)9 (16.1)
Frail (≥2)49 (47.1)19 (33.9)0.94
Not assessed b31 (29.8)28 (50.0)
MoCa d
Fit (≥26)27 (26.0)11 (19.6)0.83
Frail (<26)46 (44.2)17 (30.4)
HADS depression d
No risk at depression (≤8)66 (63.5)25 (44.6)0.87
Risk at depression (>8)7 (6.7)3 (5.4)
Barthel and Katz ADL d
No restrictions (≥10)11 (10.6)4 (7.1)0.92
Restrictions (<10)62 (59.6)24 (42.9)
Lawton and Brody IADL d
No restrictions (≥5 male, ≥8 female)54 (51.9)19 (33.9)0.54
Restrictions (<5 male, <8 female)19 (18.3)9 (16.1)
History of falls d
<165 (62.5)19 (33.9)0.01
≥18 (7.7)9 (16.1)
MNA d
Normal nutritional status (≤1)1 (1.0)2 (3.6)0.13
Malnourished (>1)72 (69.2)26 (46.4)
Data are presented as means ± SD or n (%). Bold p-values indicate statistical significance. Abbreviations: ACE-27 = adult comorbidity index-27; ADL = activities of daily living; BMI = body mass index; CGA = comprehensive geriatric assessment; DLCO = diffusing capacity for carbon monoxide; FEV1 = forced expiratory volume in 1 second; GFI = Groningen frailty index; HADS = hospital anxiety and depression scale; IADL = instrumental activities of daily living; MNA = mini nutritional assessment; MoCa = Montreal cognitive assessment; SABR = stereotactic ablative radiotherapy; SD = standard deviation; SNAQ = short nutritional assessment questionnaire; SPPB = short physical performance battery; TUG = timed up-and-go; WHO = World Health Organization. a: unknown represents missing data and was not included in statistical analyses. b: patients that were not assessed were not included in the statistical analyses. c: a score below the 10th percentile of norm values [23]. d: the number and percentages of patients that were ‘not assessed’ are similar as for ‘CGA’.
Table 2. Overview of patient, tumor, and treatment characteristics in relation to the pretreatment comprehensive geriatric assessment.
Table 2. Overview of patient, tumor, and treatment characteristics in relation to the pretreatment comprehensive geriatric assessment.
Pretreatment Comprehensive Geriatric Assessment
ParametersFit
(n = 33)
n (%)
Frail
(n = 68)
n (%)
Not Assessed
(n = 59)
n (%)
p-Value a
Mean ± SD age (years)75.2 ± 4.977.4 ± 5.176.5 ± 4.20.08
Sex
Male21 (63.6)40 (58.8)32 (54.2)0.67
Female12 (36.4)28 (41.2)27 (45.8)
Smoking status
Current15 (46.9)23 (34.3)10 (16.9)
Former15 (46.9)36 (53.7)31 (52.5)0.41
Never2 (6.3)8 (11.9)18 (30.5)
Lung cancer histology
Adenocarcinoma13 (39.4)31 (45.6)29 (49.2)
Squamous cell carcinoma12 (36.4)26 (38.2)10 (16.9)0.04
Large cell carcinoma/not otherwise specified8 (24.2)11 (16.2)20 (33.9)
Stage of disease
Stage I26 (78.8)37 (54.4)50 (84.7)<0.01
Stage II7 (21.2)31 (45.6)9 (15.3)
Type of treatment
Surgery24 (72.7)49 (72.1)31 (52.5)0.04
SABR9 (27.3)19 (27.9)28 (47.5)
WHO performance status
0–124 (72.7)44 (65.7)45 (80.4)
≥29 (27.3)23 (34.3)11 (19.6)0.19
Unknown013
ACE-27
0–124 (72.7)49 (72.1)36 (63.2)0.49
≥29 (27.3)19 (27.9)21 (36.8)
BMI
Normal and overweight (≥18.5 kg/m2)33 (100.0)65 (95.6)53 (91.4)
Underweight (<18.5 kg/m2)0 (0.0)3 (4.4)5 (8.6)0.19
Unknown001
SNAQ score
Adequate nutritional status (≤1)23 (71.9)56 (83.6)47 (79.7)
Malnourished (>1)9 (28.1)11 (16.4)12 (20.3)0.40
Unknown110
Pretreatment physical parameters
FEV1
≥80% of predicted18 (54.5)28 (41.8)27 (47.4)
<80% of predicted15 (45.5)39 (58.2)30 (52.6)0.48
Unknown012
DLCO
≥80% of predicted6 (18.8)19 (29.7)17 (31.5)
<80% of predicted26 (81.3)45 (70.3)37 (68.5)0.41
Unknown145
Treatment intolerance
Clavien-Dindo grade ≥ 2 or CTCAE grade ≥ 311 (33.3)26 (38.8)14 (23.7)0.19
Readmission11 (33.3)23 (33.8)9 (15.5)<0.05
Postoperative hospital length of stay >5 days13 (54.2)27 (55.1)11 (37.9)0.31
Survival
1–year84.883.889.80.60
3–year69.773.581.40.40
Data are presented as means ± SD or n (%). Bold p-values indicate statistical significance. Abbreviations: ACE-27 = adult comorbidity index-27; BMI = body mass index; CTCAE = common terminology criteria for adverse events; DLCO = diffusing capacity for carbon monoxide; FEV1 = forced expiratory volume in 1 second; MoCa = Montreal cognitive assessment; SABR = stereotactic ablative radiotherapy; SD = standard deviation; SNAQ = short nutritional assessment questionnaire; TUG = timed up-and-go; WHO = World Health Organization. a: unknown represents missing data and was not included in statistical analyses.
Table 3. Type of treatment intolerance, stratified for type of treatment.
Table 3. Type of treatment intolerance, stratified for type of treatment.
Clavien-Dindo ClassificationSurgery (n = 104)
n (%)
CTCAE
Grade
SABR (n = 56)
n (%)
0–I58 (55.8)0–II48 (85.7)
II28 (26.9)III4 (7.1)
III9 (8.7)IV1 (1.8)
IV4 (3.8)V1 (1.8)
V5 (4.8)
No readmission79 (76.0)No readmission38 (67.9)
Readmission25 (24.0)Readmission18 (32.1)
Abbreviations: CTCAE = common terminology criteria for adverse events; SABR = stereotactic ablative radiotherapy.
Table 4. Univariable odds ratios for associations of pretreatment patient characteristics, physical parameters, and geriatric parameters with intolerance of treatment in patients with stage I–II NSCLC, stratified for type of treatment.
Table 4. Univariable odds ratios for associations of pretreatment patient characteristics, physical parameters, and geriatric parameters with intolerance of treatment in patients with stage I–II NSCLC, stratified for type of treatment.
Surgery (n = 104)
Treatment Intolerance n = 49 (47%)
SABR (n = 56)
Treatment Intolerance n = 21 (38%)
UnivariableUnivariable
OR (90% CI)p-ValueOR (90% CI)p-Value
Age (continuous, in years)1.01 (0.93–1.11)0.780.96 (0.86–1.07)0.46
Sex
MaleReference Reference
Female1.82 (0.83–4.00)0.141.00 (0.34–2.98)1.00
Smoking status
CurrentReference Reference
Former0.60 (0.18–2.03)0.410.82 (0.11–5.99)0.84
Never0.53 (0.16–1.70)0.290.76 (0.11–5.24)0.78
Stage of disease
Stage IReference NI a
Stage II2.54 (1.13–5.69)0.02
WHO performance status
0–1Reference Reference
≥24.46 (1.34–14.83)0.021.47 (0.49–4.35)0.49
ACE–27
0–1Reference Reference
≥21.14 (0.47–2.77)0.771.23 (0.40–3.73)0.71
BMI
Normal and overweight (≥18.5 kg/m2)NI a NI a
Underweight (<18.5 kg/m2)
SNAQ score
Adequate nutritional status (≤1)Reference Reference
Malnourished (>1)2.84 (0.91–8.86)0.071.56 (0.47–5.12)0.47
Pretreatment physical parameters
FEV1
≥80% of predictedReference Reference
<80% of predicted0.84 (0.39–1.82)0.655.33 (1.06–26.90)0.04
DLCO
≥80% of predictedReference NI a
<80% of predicted1.89 (0.81–4.38)0.14
SPPB
Higher level of functioning (>9)Reference Reference
Lower level of functioning (≤9)4.14 (1.45–11.87)0.012.38 (0.42–13.39)0.33
TUG test
Higher level of functioning (≤12 s)NI a Reference
Lower level of functioning (>12 s) 0.52 (0.07–4.00)0.52
Handgrip strength
NormalNI a NI a
Weak b
Pretreatment geriatric parameters
G8
Fit (>14)Reference Reference
Frail (≤14)3.79 (1.38–10.37)0.010.36 (0.05–2.50)0.30
GFI
Fit (<4)Reference Reference
Frail (≥4)3.40 (1.26–9.21)0.020.32 (0.06–1.71)0.18
Pretreatment comprehensive geriatric assessment
CGA
Fit (<2)Reference Reference
Frail (≥2)1.04 (0.39–2.77)0.940.51 (0.12–2.88)0.50
MoCa
Fit (≥26)Reference Reference
Frail (<26)0.73 (0.28–1.91)0.520.31 (0.06–1.51)0.15
HADS depression
No risk for depression (≤8)NI a NI a
Risk for depression (>8)
Barthel and Katz ADL
No restrictions (≥10)Reference Reference
Restrictions <100.54 (0.14–2.02)0.360.85 (0.10–7.04)0.88
Lawton and Brody IADL
No restrictions (≥5 male, ≥8 female)Reference Reference
Restrictions (<5 male, <8 female)0.84 (0.29–2.38)0.740.89 (0.18–4.38)0.89
History of falls
<1NI a 3.43 (0.65–18.22)0.15
≥1
MNA
Normal nutritional status (≤1)NI a Reference
Malnourished (>1) 0.86 (0.05–15.22)0.92
Data are presented as means ± SD or n (%). Bold values indicate a statistically significant poorer tolerance of treatment. Abbreviations: ACE-27 = adult comorbidity index-27; ADL = activities of daily living; BMI = body mass index; CGA = comprehensive geriatric assessment; CI = confidence interval; DLCO = diffusing capacity for carbon monoxide; FEV1 = forced expiratory volume in 1 second; GFI = Groningen frailty index; HADS = hospital anxiety and depression scale; IADL = instrumental activities of daily living; MNA = mini nutritional assessment; MoCa = Montreal cognitive assessment; NI = not included; NSCLC = non-small cell lung cancer; OR = odds ratio; SABR = stereotactic ablative radiotherapy; SD = standard deviation; SNAQ = short nutritional assessment questionnaire; SPPB = short physical performance battery; TUG = timed up-and-go; WHO = World Health Organization. a: not included in statistical analyses because the numbers in subgroups were too small. b: a score below the 10th percentile of norm values [23].
Table 5. Univariable and multivariable hazard ratios and 95% CIs for associations of pretreatment patient, tumor, and treatment characteristics with overall survival in patients with stage I–II NSCLC.
Table 5. Univariable and multivariable hazard ratios and 95% CIs for associations of pretreatment patient, tumor, and treatment characteristics with overall survival in patients with stage I–II NSCLC.
1-Year Survival %3-Year Survival %UnivariableMultivariable
HR (90% CI)p-ValueHR (90% CI)p-Value
Age--0.97 (0.92–1.03)0.37NI a
Type of treatment
Surgery88.579.8Reference Reference
SABR82.167.92.00 (1.15–3.51)0.011.73 (0.74–4.07)0.29
Sex
Male83.972.0Reference NI a
Female89.680.60.68 (0.38–1.21)0.19
Smoking status
Current83.3%75.0%Reference
Former78.8%63.3%1.26 (0.66–2.43)0.49NI a
Never73.3%60.0%1.85 (0.82–4.18)0.14
Histology
Adenocarcinoma95.983.6Reference Reference
Squamous cell carcinoma75.070.82.52 (1.25–5.01)0.012.37 (1.31–4.27)0.02
Large cell carcinoma/not otherwise specified82.166.72.89 (1.44–5.82)<0.011.53 (0.80–2.92)0.28
Stage of disease
Stage I88.577.9Reference NI a
Stage II80.970.21.36 (0.77–2.41)0.29
WHO performance status
0-190.379.6Reference Reference
≥274.462.82.25 (1.24–4.10)<0.012.03 (1.16–3.53)0.04
ACE-27
0-187.275.2Reference NI a
≥285.777.61.08 (0.56–2.09)0.81
BMI
Normal weight (≥18.5 kg/m2)87.476.8Reference NI b
Underweight (<18.5 kg/m2)75.062.52.69 (0.96–7.59)0.06
SNAQ score
Adequate nutritional status (≤1)85.776.2Reference NI a
Malnourished (>1)87.575.01.46 (0.76–2.81)0.262
Pretreatment physical parameters
FEV1
≥80% of predicted87.778.1Reference NI a
<80% of predicted85.773.81.35 (0.77–2.40)0.31
DLCO
≥80% of predicted92.988.1Reference Reference
<80% of predicted83.369.42.97 (1.33–6.62)<0.012.37 (1.17–4.77)0.04
SPPB
Higher level of functioning (>9)92.780.0Reference NI c
Lower level of functioning (≤9)73.861.92.21 (1.14–4.26)0.02
TUG test
Higher level of functioning (≤12 s)88.975.0Reference NI c
Lower level of functioning (>12 s)50.030.03.42 (1.52–7.70)<0.01
Handgrip strength
Normal84.675.4Reference NI a
Weak d71.457.12.30 (0.78–6.77)0.13
Pretreatment geriatric parameters
G8
Fit (>14)89.278.4Reference NI a
Frail (≤14)78.667.91.60 (0.81–3.16)0.18
GFI
Fit (<4)86.572.1Reference NI a
Frail (≥4)80.974.51.11 (0.57–2.22)0.76
Pretreatment comprehensive geriatric assessment
CGA
Fit (<2)84.869.7Reference NI a
Frail (≥2)83.873.50.77 (0.38–1.53)0.45
MoCa
Fit (≥26)84.271.1Reference NI a
Frail (<26)84.173.00.72 (0.38–1.39)0.33
HADS depression
No risk at depression (≤8)84.671.4Reference NI a
Risk at depression (>8)80.080.00.59 (0.14–2.46)0.47
Barthel and Katz ADL
Fit (≥10)73.360.0Reference NI a
Frail (<10)86.074.40.77 (0.34–1.75)0.53
Lawton and Brody IADL
Fit (≥5 male, ≥8 female)83.672.6Reference NI a
Frail (<5 male, <8 female)85.771.40.86 (0.43–1.71)0.67
History of falls
<186.973.8Reference NI a
≥170.664.71.67 (0.79–3.54)0.12
MNA
Adequate nutritional status (≤1)100.0100.0Reference NI a
Malnourished (>1)83.771.40.90 (0.12–6.59)0.92
Treatment intolerance
Treatment intolerance
No95.584.3Reference NI
Yes74.664.82.26 (1.27–4.03)<0.01
Bold values indicate a statistically significant worse survival. Abbreviations: ACE-27 = adult comorbidity index-27; ADL = activities of daily living; BMI = body mass index; CGA = comprehensive geriatric assessment; CI = confidence interval; DLCO = diffusing capacity for carbon monoxide; FEV1 = forced expiratory volume in 1 second; GFI = Groningen frailty index; HADS = hospital anxiety and depression scale; HR = hazard ratio; IADL = instrumental activities of daily living; MNA = mini nutritional assessment; MoCa = Montreal cognitive assessment; NSCLC = non-small cell lung cancer; SABR = stereotactic ablative radiotherapy; SNAQ = short nutritional assessment questionnaire; SPPB = short physical performance battery; TUG = timed up-and-go; WHO = World Health Organization. a: not included when p-value ≥ 0.10. b: BMI was not included in multivariate analysis, because of a low percentage of patients being underweight (5%). c: SPPB and TUG test were not included in multivariate analysis, because of a high percentage of missing cases (39% and 49%) and because of violating the proportional hazards assumption. d: a score below the 10th percentile of norm values [23].
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Voorn, M.J.J.; Bootsma, M.F.R.; Bootsma, G.P.; van Kampen-van den Boogaart, V.E.M.; van Riet, G.J.A.; de Ruysscher, D.K.; Bongers, B.C.; Janssen-Heijnen, M.L.G. Association of Pretreatment Physical and Geriatric Parameters with Treatment Tolerance and Survival in Elderly Patients with Stage I–II Non-Small Cell Lung Cancer: An Evaluation of Usual Care Data. Cancers 2022, 14, 5994. https://doi.org/10.3390/cancers14235994

AMA Style

Voorn MJJ, Bootsma MFR, Bootsma GP, van Kampen-van den Boogaart VEM, van Riet GJA, de Ruysscher DK, Bongers BC, Janssen-Heijnen MLG. Association of Pretreatment Physical and Geriatric Parameters with Treatment Tolerance and Survival in Elderly Patients with Stage I–II Non-Small Cell Lung Cancer: An Evaluation of Usual Care Data. Cancers. 2022; 14(23):5994. https://doi.org/10.3390/cancers14235994

Chicago/Turabian Style

Voorn, Melissa J. J., Merle F. R. Bootsma, Gerben P. Bootsma, Vivian E. M. van Kampen-van den Boogaart, Geerten J. A. van Riet, Dirk K. de Ruysscher, Bart C. Bongers, and Maryska L. G. Janssen-Heijnen. 2022. "Association of Pretreatment Physical and Geriatric Parameters with Treatment Tolerance and Survival in Elderly Patients with Stage I–II Non-Small Cell Lung Cancer: An Evaluation of Usual Care Data" Cancers 14, no. 23: 5994. https://doi.org/10.3390/cancers14235994

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