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. Author manuscript; available in PMC: 2014 Jun 1.
Published in final edited form as: Ann Surg Oncol. 2012 Nov 10;20(6):1788–1797. doi: 10.1245/s10434-012-2741-4

Longitudinal Changes in Function, Symptom Burden, and Quality of Life in Patients with Early-Stage Lung Cancer

Marianna Koczywas 1, Anna Cathy Williams 2, Mihaela Cristea 1, Karen Reckamp 1, Frederic W Grannis Jr 3, Brian L Tiep 4, Gwen Uman 5, Betty Ferrell 2
PMCID: PMC3657328  NIHMSID: NIHMS441505  PMID: 23143593

Abstract

Background

Emerging evidence supports the integration of palliative care concurrently with disease-focused care in patients with serious illnesses, such as lung cancer. This paper describes how longitudinal changes in physical function, symptom burden, and QOL of patients with early-stage non-small cell lung cancer (NSCLC) informed the development of an interdisciplinary, tailored palliative care intervention.

Methods

Patients with early stage (I-IIIB) NSCLC were accrued into the usual care phase (Phase 1) of an NCI-funded Program Project Grant. Baseline and longitudinal (up to 52 weeks post-accrual) physical function, symptoms, and QOL were assessed in the thoracic ambulatory clinics of one NCI-designated Comprehensive Cancer Center. Outcome measures included geriatric assessments, psychological distress, symptoms, and QOL. The association between disease stage (I–II vs. III) and longitudinal changes in these domains was evaluated.

Results

A total of 103 patients were accrued. Stage I–II patients were significantly more likely to complete the study (p = 0.005). The stages (I–II vs. III) were equivalent at baseline on all demographic variables, clinical, and functional status. Physical function fluctuated longitudinally and was higher at 6 and 24 weeks than at baseline and 12 weeks. There was a longitudinal decrease in total number of symptoms (p < 0.001). Physical and social/family QOL fluctuated longitudinally (p < 0.001 and p = 0.016, respectively).

Conclusions

Patients with early-stage NSCLC report a significant longitudinal decrease in physical QOL, and fluctuations in objective and subjective measures of physical function over time were observed regardless of disease stage category. An interdisciplinary palliative care intervention is currently being tested to decrease symptom burden and improve QOL.


An evolving body of evidence supports the value of integrating palliative care into diseased focused care in patients with serious illness, such as lung cancer.13 Data strongly support that patients with non-small cell lung cancer (NSCLC) experience high symptom burdens, many comorbidities, and psychosocial-spiritual concerns related to the diagnosis.410 The key study by Temel and colleagues11, reporting on NSCLC patients receiving concurrent palliative care, gained much attention when their outcomes revealed not only improved symptoms but prolonged survival. This evolving evidence has led organizations, such as American Society of Clinical Oncologists to issue statements regarding the inclusion of palliative care for all NSCLC patients at the time of diagnosis.12 Other investigators and organizations also have strongly supported the integration of palliative care into routine lung cancer care.2,3

The investigators in this study have conducted previous studies adding to the recognition of needs for lung cancer patients across all stages.1315 Whereas the palliative care needs for those with stage IV is well established, the authors' research have documented that patients with stages I–III disease also experience multiple symptoms, psychosocial needs, and living with the uncertainty of possible recurrence. These previous studies led to funding from the National Cancer Institute for a Program Project Grant (P01) to develop a palliative care intervention for lung cancer and compare it across three populations of early stage (stage I–III), late stage (stage IV), and family caregivers. This paper reports on the usual care phase of the early-stage project and how the findings informed the development of the palliative care intervention.

Methods

Design

The Program Project includes three prospective longitudinal studies addressing early stage (stages I–III), late stage (stage IV), and family caregivers in NSCLC.

Patient Selection

Study participants were recruited from the Medical Oncology and Surgical Oncology Ambulatory Clinics at an NCI-designated Comprehensive Cancer Center. Eligibility criteria included a diagnosis of stage I–III NSCLC, no other cancer diagnosis within the past 5 years, and aged 18 years or older. Eligible patients were recruited to assess Usual Care in Phase 1 of this two-phase Program Project Grant.

Procedure

The study protocol was approved by the institutional review board. Research nurses approached all eligible individuals during a regularly scheduled clinic visit, and written informed consent was obtained from all patients. Following informed consent, patients completed baseline assessment that included basic demographics, geriatric assessments (physical function, cognitive status, social activities and support, nutritional status), symptoms, psychological distress, and overall quality of life (QOL). An objective measure of physical function (Timed “up and go”) was completed by the research nurse. All outcome measures were repeated at 6, 12, 24, 36, and 52 weeks after accrual. A chart audit was conducted at 52 weeks to collect data regarding treatment variables.

Instruments

Key demographic, disease, and treatment variables were captured through chart audit. Physical function and cognitive status were assessed by: (1) The Instrumental Activities of Daily Living (IADL) Scale, which consists of seven questions rated on a three-point Likert scale of degree to which the activity required to maintain independence at home and in the community can be performed independently. Norms are available and based on 2,146 elderly community residents16,17 (2) The Activities of Daily Living (ADL) Scale contains six questions regarding the ability to complete basic self-care skills, such as bathing or dressing, and are rated on a three-point Likert18 (3) The Blessed Orientation-Memory-Concentration Test consists of six questions designed to screen for gross cognitive impairment. A score >11 signifies potential cognitive impairment. The test has excellent validity as a screening instrument, correlates highly with clinicians' ratings of dementia severity (r = 0.89), and discriminates between patients with mild, moderate, and severe cognitive deficits19,20 (4) The Timed “Up and Go” is a performance based measure of function. The test, measured in seconds, is the time it takes for an individual to stand up from a standard arm-chair (approximate seat height of 46 cm), walk a distance of 3 m (10 feet), turn, walk back to the chair, and sit down again21; and (5) percent unintentional weight loss and body mass index (BMI) were used to determine nutritional status. Patients were asked to quantify the amount of unintentional weight loss for the past 6 months.

Social activities and support were assessed by: (1) The Medical Outcomes Study (MOS) Social Activity Limitations Scale is a four-item scale that assesses the extent to which physical or emotional problems have interfered with social activities. All items are rated on a five-point Likert scale. The mean of the total score is transformed to a scale of 0–100, with a higher number indicating greater support22; and (2) The MOS Social Support Survey: Emotional/Information and Tangible Subscales were used to determine access to material aid/behavioral assistance and advice, information, guidance, or feedback from others. The items are rated on a five-point Likert scale.22

Symptom characteristics were assessed by using the Memorial Symptom Assessment Scale (MSAS). The MSAS is a 32-item tool used to measure the prevalence, characteristics, and distress of common symptoms. Validity testing has included correlation with the RAND Mental Health Inventory well-being subscale, RAND distress subscale, Symptom Distress Scale, Functional Living Index-Cancer, Karnofsky Performance Scale, and Memorial Pain Assessment Card. Reliability and validity have been reported in studies with cancer patients.23

QOL was assessed by the Distress Thermometer, which is an efficient, low subject burden method to evaluate psychological distress during the past week, based on a scale of 1 to 10. A score of 5 or above indicates a need for intervention.24 The Functional Assessment of Cancer Therapy-Lung (FACT-L, version 4) tool is a 37-item instrument that measures multidimensional QOL.25 This tool is comprised of five subscales: physical, social/family, emotional, functional well-being, and the lung cancer symptom index (LCS). Each item is rated on a five-point Likert scale.2628 The Functional Assessment of Chronic Illness Therapy-Spirituality Tool (FACIT-Sp-12) is a 12-item tool that assesses spiritual well being using a five-point Likert scale. The tool generates a total score as well as two subscale scores (meaning and faith). Psychometric properties of the FACIT-Sp-12 was tested in a separate study containing 1,617 subjects of whom the majority had a diagnosis of early stage or metastatic cancer (83.1%).29

Data Analysis

Scannable data forms developed using the Remark system were completed by patients and analyzed using SPSS (version 19.0). Missing values analysis was conducted using the 103 patients who completed the six sets of measures (baseline through 52 weeks) or who did not drop out due to mortality or severe illness. Values were found to be missing completely at random, thus allowing for imputation using the estimation-maximization method.30,31 The data were analyzed according to cancer stage group, comparing those with stage I and II disease (n = 54, 52.4%) with those having stage III disease (n = 49, 47.6%). Descriptive statistics were computed for all variables; contingency table analysis and the chi-square statistic were used to test for association between cancer stage group and categorical variables, whereas two-way repeated measures analysis of variance (ANOVA) was used to test for change over time and time by stage interactions for all continuous predictor and outcome variables.

Results

Demographics and Disease Characteristics

A total of 103 patients were accrued (stage I = 34, stage II = 20, and stage III = 49). Six of these patients died, three patients dropped out of the study before 52 weeks due to severe illness, and six were lost to follow-up (Table 1). For the 49 stage III patients, 21 were no evidence of disease (NED), 12 had metastatic disease, five died, four had stable disease, four had progressive disease, and 3 had recurrence or a new primary while enrolled in the study. Patient age ranged from 34–92 years [mean = 65.69, standard deviation (SD) = 11.86]; 48 (46.6%) were younger than age 65 years, 35 (34%) were 66–74 years, and 20 (19.4%) were aged 75 years and older. Approximately 46.6% of the sample was male. Patients were predominantly Protestant (41.2%); 6.8% were Hispanic/Latino, an additional 8.7% were Asian, 7.8% African American, 1.9% other, and 74.8% Caucasian/non-Hispanic. Just over half of patients had some college education. Patients aged 65 and older were significantly more likely to be widowed. Just over one third of the patients were retired. Stage I–II patients reported significantly more chronic illnesses than stage III patients (p = 0.03). More than three-quarters were former smokers (75.7%), 4.9% were currently smoking, and 19.4% never smoked. On average, patients had been diagnosed approximately 18 months before accrual, which did not differ between disease stage groups. A total of 72 patients (69.9%) had surgery before or during the course of the study, which was significantly more likely to occur for stage I–II patients (79.6%) than for stage III patients (59.2%; p = 0.032). Stage III patients (69.4%) were significantly more likely to have chemotherapy and/or radiation than stage I–II patients (25.9%; p < 0.001).

Table 1. Demographics.

Stages I and II Stage III Total p value
N (%) N (%) N (%)
Gender
 Male 24 (44.4) 24 (49) 48 (46.6) 0.695
 Female 30 (55.6) 25 (51) 55 (53.4)
Age range 34–92 (x =65.69, SD 11.84)
Race
 White 43 (79.6) 41 (83.7) 84 (81.6) 0.848
 African American 4 (7.4) 4 (8.2) 8 (7.8)
 Asian 6 (11.1) 3 (6.1) 9 (8.7)
 Other 1 (1.9) 1 (2.0) 2 (1.9)
Ethnicity–Hispanic/Latino
 Yes 5 (9.3) 2 (4.1) 7 (6.8) 0.441
 No 49 (90.7) 47 (95.9) 96 (93.2)
Religious preference
 Protestant 25 (47.2) 17 (34.7) 42 (41.2) 0.407
 Catholic 7 (13.2) 7 (14.3) 14 (13.7)
 Jewish 5 (9.4) 2 (4.1) 7 (6.9)
 Other 1 (1.9) 2 (4.1) 3 (2.9)
 None 15 (28.3) 21 (42.9) 36 (35.3)
Marital status
 Single 2 (3.7) 8 (16.3) 10 (9.7) 0.171
 Separated/divorced 10 (18.5) 9 (18.4) 19 (18.4)
 Widowed 7 (13) 4 (8.2) 11 (10.7)
 Married/partnered 35 (64.8) 28 (57.1) 63 (61.2)
Education
 Elementary school 0 (0) 1 (2) 1 (1) 0.569
 Secondary/high school 22 (40.7) 19 (38.8) 41 (39.8)
 College 32 (59.3) 29 (59.2) 61 (59.2)
Income
 <$10 K 3 (5.6) 0 (0) 3 (2.9) 0.124
 $10 K–$30 K 5 (9.3) 11 (22.4) 16 (15.5)
 $30 K–$50 K 12 (22.2) 13 (26.5) 25 (24.3)
 >$50 K 29 (53.7) 19 (38.8) 48 (46.6)
 Preferred not to answer 5 (9.3) 6 (12.2) 11 (10.7)
Employment status
 Employed 17 (31.5) 12 (24.5) 29 (28.2) 0.546
 Unemployed 2 (3.7) 1 (2) 3 (2.9)
 Retired 23 (42.6) 18 (36.7) 41 (39.8)
 Homemaker 9 (16.7) 15 (30.6) 24 (23.3)
 Other 3 (5.6) 3 (6.1) 6 (5.8)
Smoking history
 Current smoker 1 (1.9) 4 (8.2) 5 (4.9) 0.329
 Former smoker 42 (77.8) 36 (73.5) 78 (75.7)
 Nonsmoker 11 (20.4) 9 (18.4) 20 (19.4)

As shown in Table 2, the majority of patients across both groups were independent or within normal limits in their ADL (92.2%), IADL (68.9%), Timed Up and Go test (74.8%), objective and subjective Karnofsky Performance Status (84.5 and 92.2%, respectively), and cognition (98.1%). For patients with stage III disease, 65% reported being independent with IADLs and 95% reported independence with ADLs, suggesting that this is a highly functional cohort of patients with locally advanced disease. Functional status was comparable to patients with stage I and II disease. None of the patients was underweight according to their BMI, and 53% were overweight or obese; 61.1% had experienced a weight increase in the past 6 months, but 21.6% report eating less than usual in the past month. Twelve patients reported having no chronic illnesses (11.7%), but all patients were found, upon chart review, to have one or more comorbidities (average of 3.8 comorbidities per patient). The circulatory (60.4%), endocrine (49.5%), respiratory (41.6%), and “mental disorder,” which includes anxiety and depression (36.6%), systems were most frequently involved. Number of medications taken at baseline was equivalent for the two groups (6.9 vs. 7.12, respectively), but after 12 weeks, stage III patients took significantly more medications (9.73 vs. 7.57, p = 0.025).

Table 2. Geriatric Assessment Findings.

Stages I and II Stage III Total p value
N (%) N (%) N (%)
Functional status
 Activities of daily living (ADL)
  Needs assist (<7) 6 (11.1) 2 (4.2) 8 (7.8) 0.276
  Independent 48 (88.9) 46 (95.8) 94 (92.2)
 Instrumental activities of daily living (IADL)
  Needs assist (<14) 15 (27.8) 17 (34.7) 32 (31.1) 0.525
  Independent 39 (72.2) 32 (65.3) 71 (68.9)
 Timed up and go
  <10 seconds 44 (81.5) 33 (67.3) 77 (74.8) 0.116
  ≥10 seconds 10 (18.5) 16 (32.7) 26 (25.2)
 Karnofsky performance status—rated by healthcare team
  Unable to work, lives at home (50–70) 8 (14.8) 8 (16.3) 16 (15.5) 1.000
  Normal activities (80–100) 46 (85.2) 41 (83.7) 87 (84.5)
 Karnofsky performance status-self-reported by patients
  Unable to work, lives at home (50–70) 2 (3.7) 6 (12.2) 8 (7.8) 0.146
  Normal activities (80–100) 52 (96.3) 43 (87.8) 95 (92.2)
 Routinely exercise
  Yes 20 (38.5) 24 (50.0) 44 (44.0) 0.314
  No 32 (61.5) 24 (50.0) 56 (56.0)
Cognition
 Blessed Orientation-Memory-Concentration Test
  Possible impairment (≥ 11) 1 (1.9) 1 (2.0) 2 (1.9) 1.000
  Normal (<11) 53 (98.1) 48 (98.0) 101 (98.1)
Comorbidity
 Previous cancer Dx
  Yes 16 (29.6) 13 (26.5) 29 (28.2) 0.827
  No 38 (70.4) 36 (73.5) 74 (71.8)
 Other chronic illness
  Yes 50 (92.6) 41 (83.7) 91 (88.3) 0.221
  No 4 (7.4) 8 (16.3) 12 (11.7)
Nutrition
 Body mass index: weight/height2
  Normal weight 21 (38.9) 22 (44.9) 43 (41.7) 0.277
  Overweight 17 (31.5) 19 (38.8) 36 (35.0)
  Obese 16 (29.6) 8 (16.3) 24 (23.3)
 Weight increase or decrease over 6 months
  Increase 3 (42.9) 8 (72.7) 11 (61.1) 0.332
  Decrease 4 (57.1) 3 (27.3) 7 (38.9)
 Food intake in the past month
  Unchanged 41 (75.9) 29 (60.4) 70 (68.6) 0.07
  More than usual 2 (3.7) 8 (16.7) 10 (9.8)
  Less than usual 11 (20.4) 11 (22.9) 22 (21.6)

Longitudinal Change in Geriatric Assessment Scores by Stage of Disease

IADL was significantly lower (more dependent) at 52 weeks than at all other time periods except 6 weeks, regardless of stage (p = 0.012; Table 3). Objective KPS significantly decreased after baseline at all time points, regardless of stage (p = 0.001). Subjective KPS was significantly lower at 36 and 52 weeks than at baseline and 12 weeks, regardless of stage (p = 0.044). In contrast to those three measures suggesting that function declined over time, the 12-, 24-, and 36-week Timed Up and Go tests were significantly faster than baseline and 6-week tests, regardless of stage (p = 0.008).

Table 3. Longitudinal Changes in Geriatric Assessment Data by Disease Stage.

Disease stage Baseline 6 Weeks 12 Weeks 24 Weeks 36 Weeks 52 Weeks Main effect Interaction






Mean SD Mean SD Mean SD Mean SD Mean SD Mean SD
Functional status
 Activities of daily living (ADL)
  I & II 6.90 0.3 6.86 0.41 6.85 0.72 6.92 0.27 6.84 0.46 6.84 0.46 0.059 0.089
  III 6.91 0.6 6.9 0.36 6.85 0.51 6.9 0.42 6.93 0.24 6.94 0.32
  Total 6.91 0.46 6.88 0.39 6.85 0.63 6.91 0.34 6.88 0.37 6.89 0.41
 Instrumental activities of daily living (IADL)
  I & II 13.17 1.86 12.98 1.82 12.92 2.42 13.01 2.14 12.88 2.16 12.61 2.49 0.012 0.122
  III 12.75 2.50 12.74 2.19 13.37 1.42 13.32 1.69 13.36 1.42 12.17 2.72
  Total 12.98 2.17 12.87 1.99 13.13 2.04 13.15 1.95 13.09 1.87 12.41 2.59
 Karnofsky performance status (rated by healthcare team)
  I & II 88.68 11.44 85.05 14.17 86.42 11.94 86.05 11.99 85.63 12.29 86.4 11.79 0.001 0.294
  III 87.95 11.93 83.12 11.13 84.59 10.43 83 9.03 81.92 10.46 80.52 10.76
  Total 88.35 11.61 84.18 12.85 85.59 11.26 84.66 10.81 83.95 11.59 83.73 11.65
 Karnofsky performance status (self-rated)
  I & II 87.55 12.07 84.64 12.01 85.85 11.51 84.47 11.29 85.55 10.31 85.84 10.28 0.044 0.191
  III 84.32 14.85 82.45 11.49 84.74 10.02 82.82 10.55 80.78 9.05 79.4 13.02
  Total 86.08 13.43 83.65 11.76 85.34 10.82 83.72 10.93 83.38 10 82.92 11.98
 Timed up and go
  I & II 15.37 6.31 14.63 5.95 13 4.85 13.22 4.28 12.9 3.9 13.05 4.99 0.008 0.241
  III 14.71 6.02 14.54 5.68 13.89 4.24 12.75 3.40 12.46 2.86 13.86 3.91
  Total 15.1 6.16 14.59 5.8 13.36 4.6 13.03 3.92 12.72 3.50 13.38 4.57
Nutrition
 Body mass index
  I & II 27.20 5.60 26.78 5.36 26.96 5.56 26.89 5.46 27.01 5.64 31.14 18.78 0.379 0.071
  III 26.21 5.02 26.22 4.84 26.19 4.83 26.02 4.85 26.42 4.98 24.77 11.49
  Total 26.75 5.34 26.53 5.11 26.61 5.23 26.50 5.19 26.74 5.33 28.25 16.14
Cognition
 Blessed Orientation-Memory-Concentration Test
  I & II 0.49 2.09 0.51 1.15 0.64 1.44 0.38 1.29 0.36 0.95 0.39 2.07 0.42 0.963
  III 0.8 2.11 0.71 1.63 0.89 1.8 0.43 1.26 0.5 1.21 0.62 1.92
  Total 0.63 2.1 0.6 1.38 0.76 1.61 0.4 1.27 0.42 1.07 0.49 2
Social activities and support
 Medical Outcomes Study social activities
  I & II 43.75 12.5 43.99 10.18 45.45 10.16 45.04 8.81 47.59 9.83 0.172 0.319
  III 43.18 10.6 42.86 12.12 43.84 8.58 39.92 9.07 43.41 11.49
  Total 43.49 11.62 43.47 11.06 44.72 9.46 42.72 9.24 45.7 10.76
 Medical Outcomes Study tangible support
  I & II 74.29 33.83 75.35 32.18 72.29 34.27 71.63 36.64 74.02 35.58 72.99 38.39 0.586 0.658
  III 79.69 27.13 75.31 31.75 76.22 32.86 77.07 34.24 76.56 36.63 71.47 39.1
  Total 76.74 30.93 75.33 31.82 74.07 33.52 74.1 35.49 75.17 35.9 72.30 38.52
 Medical Outcomes Study emotional/informational support
  I & II 72.82 29.42 66.36 32.92 70.64 31.02 70.78 32.72 73.48 31.04 74.93 32.56 0.342 0.158
  III 76.42 27.03 77.38 26.91 79.71 27.14 83.31 24.97 80.7 27.1 74.83 30.61
  Total 74.45 28.27 71.36 30.69 74.75 29.52 76.47 29.98 76.76 29.4 74.88 31.53
 Medical Outcomes Study social support
  I & II 73.31 27.46 69.36 30.01 71.19 29.2 71.06 32.14 73.66 30.18 74.29 32.28 0.622 0.309
  III 77.54 24.86 76.69 27.1 78.55 27.25 81.23 25.92 79.32 28.84 73.71 31.6
  Total 75.23 26.26 72.68 28.81 74.53 28.42 75.67 29.77 76.23 29.56 74.02 31.81

Longitudinal Changes in Symptoms and Qol by Stage of Disease

Overall symptom distress, as measured by the MSAS Global Distress Index, decreased significantly at 52 weeks compared with baseline and 6 weeks, regardless of stage (p = 0.053; Table 4). The total number of symptoms reported decreased significantly from 11.00 at baseline to 6.57 at 52 weeks, regardless of stage (p < 0.001). Total symptom scores (total MSAS) and psychological distress remained stable, and none of the scores had significant time by stage interactions. The most prevalent symptoms (Table 5) included lack of energy, worrying, shortness of breath, difficulty sleeping, and cough, all with prevalence of greater than 69% at baseline.

Table 4. Longitudinal Changes in Symptoms and QOL By Disease Stage.

Psychological distress
 Distress thermometer
  I & II 3.49 2.78 3.49 2.65 3.53 2.9 3.28 2.85 3.55 2.8 3.51 2.56 0.693 0.577
  III 3.94 2.47 4.31 2.3 3.43 2.5 4.17 2.68 4.2 2.7 4.29 2.8
  Total 3.68 2.65 3.84 2.53 3.49 2.72 3.66 2.8 3.83 2.76 3.84 2.68
Symptoms
 Memorial Syr0nptoms Assessment Scale (global distress index)
  I & II 1.42 0.77 1.42 0.72 1.31 0.74 1.28 0.72 1.18 0.74 1.24 0.77 0.053 0.559
  III 1.56 0.77 1.46 0.63 1.51 0.72 1.45 0.79 1.45 0.72 1.26 0.79
  Total 1.48 0.77 1.44 0.68 1.4 0.73 1.36 0.76 1.3 0.74 1.25 0.78
 Memorial Symptoms Assessment Scale (physical symptom subscale)
  I & II 1.66 0.93 1.88 0.93 1.69 0.82 1.75 0.91 1.76 0.8 1.85 0.56 0.658 0.22
  III 1.75 0.84 1.59 0.74 1.77 0.73 1.74 0.77 1.92 0.76 1.79 0.63
  Total 1.7 0.89 1.75 0.86 1.72 0.78 1.75 0.84 1.83 0.78 1.82 0.59
 Memorial Symptoms Assessment Scale (psychological symptom subscale)
  I & II 1.21 0.76 1.16 0.74 1.05 0.81 0.99 0.81 1 0.77 1.03 0.84 0.059 0.766
  III 1.27 0.77 1.25 0.72 1.15 0.78 1.15 0.78 1.19 0.87 1.01 0.83
  Total 1.24 0.76 1.2 0.73 1.1 0.8 1.07 0.8 1.09 0.82 1.02 0.83
 Memorial Symptoms Assessment Scale (total number of symptoms)
  I & II 10.57 5.5 10.26 4.83 9.48 5.14 8.22 4.43 7.22 4.24 6.59 3.98 <0.001 0.345
  III 11.47 5.24 11.80 6.47 11.18 5.59 9.88 5.45 7.22 4.91 6.55 5.50
  Total 11 5.37 10.99 5.7 10.29 5.4 9.01 4.98 7.22 4.55 6.57 4.74
Quality of life
 Functional Assessment of Cancer Therapy—lung(total score)
  I & II 100.97 18.81 98.48 18.49 100.87 20.51 98.73 21.11 101.21 21.37 103 19.85 0.52 0.703
  III 98.04 19.68 94.21 21.93 92.96 23.99 95.63 23.1 94.32 20.92 95.98 19.81
  Total 99.72 19.12 96.65 20.01 97.49 22.27 97.41 21.89 98.27 21.33 100 20.02
 Functional Assessment of Cancer Therapy - physical well-being
  I & II 22.71 6.18 21.42 6.38 21.29 7.9 21.82 5.90 23.86 5.05 24.16 4.04 <0.001 0.823
  III 22.42 5.97 19.56 7.68 19.92 6.83 20.14 6.11 21.83 5.11 22.57 4.94
  Total 22.58 6.05 20.58 7.02 20.67 7.43 21.06 6.02 22.94 5.15 23.44 4.52
 Functional Assessment of Cancer The rapy—socia1/family well-being
  I & II 19.75 5.97 20.01 7.06 20.04 6.7 18.06 7.8 18.31 8.79 18.07 9.29 0.016 0.863
  III 20.14 7.04 20.77 6.83 20.16 7.23 19.52 8.19 19.35 7.89 18.14 8.57
  Total 19.93 6.45 20.35 6.93 20.09 6.91 18.72 7.98 18.78 8.37 18.1 8.92
 Functional Assessment of Cancer Therapy—emotional well-being
  I & II 18.51 4.46 18.42 4.14 18.51 5 19.14 5.36 19.03 6.09 19.29 5.70 0.532 0.195
  III 17.93 5.16 18.32 4.56 16.98 5.44 17.60 5.5 15.84 5.83 17.19 6.95
  Total 18.25 4.77 18.37 4.32 17.82 5.24 18.44 5.45 17.58 6.15 18.34 6.35
 Functional Assessment of Cancer Therapy—functional well-being
  I & II 15.04 4.62 14.64 5.26 14.73 4.99 14.72 5.41 14.59 4.88 14.19 4.99 0.092 0.731
  III 15.23 5.13 14 5.04 14.6 4.72 14.39 4.63 13.73 4.08 12.94 5.52
  Total 15.12 4.84 14.35 5.14 14.67 4.85 14.57 5.05 14.2 4.53 13.62 5.25
 Functional Assessment of Cancer Therapy—lung cancer subscale
  I & II 23.8 5.87 23.22 5.07 23.6 5.25 23.68 4.86 24.48 4.78 24.65 5.07 0.143 0.476
  III 24.21 4.96 22.27 5.5 22.51 5.8 23.37 5.87 23.46 4.94 22.93 5.19
  Total 23.99 5.46 22.79 5.26 23.11 5.5 23.54 5.31 24.02 4.85 23.87 5.17
 Functional Assessment of Chronic illness Therapy-spirituality subscale tota.1 score
  I & II 35.08 7.73 32.31 7.76 33.46 9.16 33.35 9.74 32.35 8.84 32.49 9.88 0.059 0.623
  III 34.23 9.06 33.79 8.05 34.01 9.5 33.07 9.61 33.03 8.78 31.91 11.29
  Total 34.69 8.33 32.98 7.89 33.71 9.27 33.23 9.63 32.66 8.78 32.23 10.5
 Functional Assessment of Chronic illness Therapy-spirituality subscale meaning
  I & II 25.21 4.84 23.63 5.45 24.18 5.77 24.24 6.35 23.81 5.35 24.29 6.3 0.057 0.233
  III 24.98 5.52 24.55 4.92 24.23 6.24 24.1 6.31 23.53 5.29 22.36 7.17
  Total 25.1 5.14 24.04 5.21 24.2 5.95 24.17 6.3 23.68 5.29 23.41 6.74
 Functional Assessment of Chronic illness Therapy-spirituality subscale faith
  I & II 9.87 5 8.64 4.95 9.28 5.57 9.11 5.93 8.37 5.76 8.22 6.05 0.262 0.379
  III 9.25 5.29 9.3 5.21 9.78 5.34 8.97 4.77 9.26 5.26 9.2 6.34
  Total 9.59 5.12 8.94 5.05 9.51 5.54 9.05 5.4 8.78 5.53 8.67 6.17

Table 5. Symptom Prevalence Over Time (%).

Symptom Baseline 6 Weeks 12 Weeks 24 Weeks 36 Weeks 52 Weeks
Lack of energy 81.6 89.3 90.3 88.3 76.7 74.8
Worrying 74.8 67 58.3 56.3 50.5 44.7
SOB 74.5 76.7 80.6 78.6 72.8 68
Difficulty sleeping 71.8 69.9 62.1 56.3 55.3 53.4
Cough 69.9 65 67 56.3 46.6 46.6
Dry skin 66 60.2 57.3 50.5 32 23.3
Pain 64.1 64.1 66 58.3 53.4 51.5
Feeling nervous 59.2 59.2 49.5 51.5 44.7 36.9
Feeling sad 55.3 53.4 52.4 40.8 35.9 37.9
Difficulty concentrating 53.4 61.2 56.3 50.5 47.6 36.9
Feeling irritable 39.8 37.9 31.1 31.1 18.4 14.6
Numbness 38.8 37.9 33.0 36.9 33.0 26.2
Lack of appetite 38.8 37.9 37.9 34 22.3 18.4
Itching 34 35 27.2 21 9.7 8.7
Nail changes 33 33 33 24.3 20.4 13.6
Problems with urination 31.1 26.2 27.2 23.3 21.4 12.6
Dry mouth 29.1 25.2 20.4 16.5 7.8 7.8
Feeling drowsy 26.2 26.2 22.3 16.5 5.8 5.8
Problems with sexual interest 25.5 t 21.4 20.4 14.5 17.5 23.3
Difficulty swallowing 23.3 18.4 15.5 12.6 5.8 5.8
Nausea 22.3 31.1 22.3 13.6 4.9 5.8
Dizziness 20.4 29.1 20.4 15.5 10.7 9.7
Sweats 14.6 13.6 8.7 4.9 2.9 2.9
Diarrhea 13.6 17.5 20.4 19.4 16.5 11.7
Feeling bloated 11.7 14.6 14.6 8.7 3.9 4.9
Vomiting 9.7 5.8 9.7 7.8 1.9 2.9
Rash on my body y 8.7 9.7 11.7 4.9 1.9 3.9
Rash on my face e 4.9 5.8 5.8 1.9 1.9 1.9
Crusting on my skin 4.9 6.8 7.8 5.8 12.6 2.9

Physical well-being score (as measured by the FACT-L) decreased significantly between baseline and 24 weeks and increased significantly to surpass baseline levels from 12 weeks to 52 weeks, regardless of stage (p < 0.001). Social/family well-being increased from baseline to 12 weeks, and then declined from24 to 52 weeks (p = 0.16). All other QOL scores remained statistically stable (Table 4), as did psychological distress and spirituality.

Chart Audit Findings

It was possible to audit 101 of the 103 patient charts at the end of their study participation. Overall, the use of support services was very low considering the complex and multiple needs of these patients. Overall, only 28 patients had referrals to supportive care services, and there were 49 referrals (approximately 1.75 referrals each) to institutional services. These included 13 referrals to social work, 11 each to pulmonary rehabilitation and nutrition, and 5 to PT/OT. In addition, there were five external referrals to home health, PRS, financial counseling, and a combination of medical specialties. The primary reason for an encounter was for symptom management (92.3%), including pain (61.5%), dyspnea/cough/hemoptysis (30.8%), and fever (30.8%). Seventeen patients (16.8%) were admitted to the inpatient setting while on study. The majority of these admissions were unscheduled (76.5%), largely due to need for symptom management. Posthospital disposition included independently at home (86.7%), skilled nursing facility (6.7%), and one in-hospital death (6.76 %).

Intervention Development

The usual care phase findings informed the development of the interdisciplinary palliative care intervention. The Phase 2 (experimental phase) of this Program Project Grant tests a palliative care intervention. Core elements of the intervention consist of an Interdisciplinary Care Conference (ICC) that is conducted for each patient, with attendance by the treating oncologist and thoracic surgeon, nurse, and key supportive care experts (social work, nutrition, pulmonary and physical rehabilitation, pain and palliative medicine, chaplain, and psychologist). Before each ICC, a research nurse gathers all patient baseline assessment data, reviews the responses, and transcribes assessment results onto an interdisciplinary care plan. Information from the care plan is then presented to the ICC team by the research nurse. The ICC then makes palliative care-related recommendations, which are all documented on the care plan and referrals to supportive care services are initiated. The research nurse conducts follow-up evaluations with each patient, and communicates with the patient's treating oncologist to review the patient's status and to determine whether further recommendations are needed. This phase of the study will continue for 2 years.

In addition to the interdisciplinary care, all patients receive educational materials and participate in four educational sessions that are administered in face-to-face or telephone format by the nurse. The session contents are divided into four QOL domains: physical, psychological, social, and spiritual well-being. Supplemental materials are available that address preoperative issues for patients who are accrued before surgery is scheduled. During each session, the patient identifies topics of interest, and these topics are then discussed during the sessions, allowing for tailoring of content that is pertinent to each patient's needs. The research nurse provides recommended resources to help patients manage palliative care-related issues and initiates any further referrals to palliative care services if needed.

Discussion

A major study limitation is the potential selection bias in a cohort of patients who are highly functional, and therefore, study findings should be interpreted with caution in terms of its generalizability. Findings from this study indicate that patients with the symptom and QOL concerns of early stage NSCLC patients vary across time in association with their treatments. This usual care phase has led to a palliative care intervention, which we hypothesize will improve outcomes for these patients through a consistent assessment of needs, proactively, by an interdisciplinary team.

Acknowledgments

The research described was supported by grant 5 P01 CA136396-02 from the National Cancer Institute. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Cancer Institute or NIH.

Footnotes

Disclosure: The authors have no conflicts of interest to report.

References

  • 1.Debono DJ. Integration of palliative medicine into routine oncological care: what does the evidence show us? J Oncol Pract. 2011;7(6):350–4. doi: 10.1200/JOP.2011.000351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.National Comprehensive Cancer Network. [Accessed 15 June 2012];Clinical practice guidelines for supportive care: palliative care2012. www.nccn.org.
  • 3.National Consensus Project. [Accessed 15 June 2012];Clinical practice guidelines for quality palliative care2009. www.nationalconsensusproject.org.
  • 4.Akin S, Can G, Aydiner A, Ozdilli K, Durna Z. Quality of life, symptom experience and distress of lung cancer patients undergoing chemotherapy. Eur J Oncol Nurs. 2010;14(5):400–9. doi: 10.1016/j.ejon.2010.01.003. [DOI] [PubMed] [Google Scholar]
  • 5.Brant JM, Beck SL, Dudley WN, Cobb P, Pepper G, Miaskowski C. Symptom trajectories during chemotherapy in outpatients with lung cancer colorectal cancer, or lymphoma. Eur J Oncol Nurs. 2011;15(5):470–7. doi: 10.1016/j.ejon.2010.12.002. [DOI] [PubMed] [Google Scholar]
  • 6.Lee L, Chung CW, Chang YY, et al. Comparison of the quality of life between patients with non-small-cell lung cancer and healthy controls. Qual Life Res. 2011;20(3):415–23. doi: 10.1007/s11136-010-9761-y. [DOI] [PubMed] [Google Scholar]
  • 7.Lynch J, Goodhart F, Saunders Y, O'Connor S. Screening for psychological distress in patients with lung cancer: results of a clinical audit evaluating the use of the patient Distress Thermometer. Support Care Cancer. 2011;19(2):193–202. doi: 10.1007/s00520-009-0799-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Tishelman C, Lovgren M, Broberger E, Hamberg K, Sprangers MA. Are the most distressing concerns of patients with inoperable lung cancer adequately assessed? A mixed-methods analysis. J Clin Oncol. 2010;28(11):1942–9. doi: 10.1200/JCO.2009.23.3403. [DOI] [PubMed] [Google Scholar]
  • 9.Wang XS, Shi Q, Lu C, et al. Prognostic value of symptom burden for overall survival in patients receiving chemotherapy for advanced nonsmall cell lung cancer. Cancer. 2010;116(1):137–45. doi: 10.1002/cncr.24703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sanders SL, Bantum EO, Owen JE, Thornton AA, Stanton AL. Supportive care needs in patients with lung cancer. Psycho-Oncology. 2010;19(5):480–9. doi: 10.1002/pon.1577. [DOI] [PubMed] [Google Scholar]
  • 11.Temel JS, Greer JA, Muzikansky A, et al. Early palliative care for patients with metastatic non-small-cell lung cancer. NEJM. 2010;363(8):733–42. doi: 10.1056/NEJMoa1000678. [DOI] [PubMed] [Google Scholar]
  • 12.Smith TJ, Temin S, Alesi ER, et al. American Society of Clinical Oncology provisional clinical opinion: the integration of palliative care into standard oncology care. J Clin Oncol. 2012;30(8):880–7. doi: 10.1200/JCO.2011.38.5161. [DOI] [PubMed] [Google Scholar]
  • 13.Borneman T, Koczywas M, Cristea M, Reckamp K, Sun V, Ferrell B. An interdisciplinary care approach for integration of palliative care in lung cancer. Clin Lung Cancer. 2008;9(6):352–60. doi: 10.3816/CLC.2008.n.051. [DOI] [PubMed] [Google Scholar]
  • 14.Ferrell B, Koczywas M, Grannis F, Harrington A. Palliative care in lung cancer. Surg Clin North Am. 2011;91(2):403–17. ix. doi: 10.1016/j.suc.2010.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Podnos YD, Borneman TR, Koczywas M, Uman G, Ferrell BR. Symptom concerns and resource utilization in patients with lung cancer. J Palliat Med. 2007;10(4):899–903. doi: 10.1089/jpm.2006.0232. [DOI] [PubMed] [Google Scholar]
  • 16.George LK, Fillenbaum GG. OARS methodology. A decade of experience in geriatric assessment. J Am Ger Soc. 1985;33(9):607–15. doi: 10.1111/j.1532-5415.1985.tb06317.x. [DOI] [PubMed] [Google Scholar]
  • 17.Fillenbaum GG, Smyer MA. The development, validity, and reliability of the OARS multidimensional functional assessment questionnaire. J Gerontol. 1981;36(4):428–34. doi: 10.1093/geronj/36.4.428. [DOI] [PubMed] [Google Scholar]
  • 18.Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW. Studies of illness in the aged. The index of ADL: A standardized measure of biological and psychosocial function. JAMA. 1963;185:914–9. doi: 10.1001/jama.1963.03060120024016. [DOI] [PubMed] [Google Scholar]
  • 19.Katzman R, Brown T, Fuld P, Peck A, Schechter R, Schimmel H. Validation of a short Orientation-Memory-Concentration Test of cognitive impairment. Am J Psych. 1983;140(6):734–9. doi: 10.1176/ajp.140.6.734. [DOI] [PubMed] [Google Scholar]
  • 20.Kawas C, Karagiozis H, Resau L, Corrada M, Brookmeyer R. Reliability of the Blessed Telephone Information-Memory-Concentration Test. J Ger Psych Neurol. 1995;8(4):238–42. doi: 10.1177/089198879500800408. [DOI] [PubMed] [Google Scholar]
  • 21.Podsiadlo D, Richardson S. The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Ger Soc. 1991;39(2):142–8. doi: 10.1111/j.1532-5415.1991.tb01616.x. [DOI] [PubMed] [Google Scholar]
  • 22.Stewart A, Ware J. Measuring function and well-being: the Medical Outcomes Study Approach. Durham: Duke University Press; 1992. [Google Scholar]
  • 23.Portenoy RK, Thaler HT, Kornblith AB, et al. The Memorial Symptom Assessment Scale: an instrument for the evaluation of symptom prevalence, characteristics and distress. Eur J Cancer. 1994;30A(9):1326–36. doi: 10.1016/0959-8049(94)90182-1. [DOI] [PubMed] [Google Scholar]
  • 24.Graves KD, Arnold SM, Love CL, Kirsh KL, Moore PG, Passik SD. Lung Cancer. 2. Vol. 55. Amsterdam, Netherlands: 2007. Distress screening in a multidisciplinary lung cancer clinic: prevalence and predictors of clinically significant distress; pp. 215–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Cella DF, Tulsky DS, Gray G, et al. The functional assessment of cancer therapy scale: development and validation of the general measure. J Clin Oncol. 1993;11(3):570–9. doi: 10.1200/JCO.1993.11.3.570. [DOI] [PubMed] [Google Scholar]
  • 26.Cella D, Eton DT, Fairclough DL, et al. What is a clinically meaningful change on the Functional Assessment of Cancer Therapy-Lung (FACT-L) Questionnaire? Results from Eastern Cooperative Oncology Group (ECOG) Study 5592. J Clin Epidemiol. 2002;55(3):285–95. doi: 10.1016/s0895-4356(01)00477-2. [DOI] [PubMed] [Google Scholar]
  • 27.Cella DF, Bonomi AE, Lloyd SR, Tulsky DS, Kaplan E, Bonomi P. Reliability and validity of the Functional Assessment of Cancer Therapy-Lung (FACT-L) quality of life instrument. Lung Cancer. 1995;12(3):199–220. doi: 10.1016/0169-5002(95)00450-f. [DOI] [PubMed] [Google Scholar]
  • 28.Eton DT, Cella D, Yount SE, Davis KM. Validation of the functional assessment of cancer therapy–lung symptom index-12 (FLSI-12) Lung Cancer. 2007;57(3):339–47. doi: 10.1016/j.lungcan.2007.03.021. [DOI] [PubMed] [Google Scholar]
  • 29.Peterman AH, Fitchett G, Brady MJ, Hernandez L, Cella D. Measuring spiritual well-being in people with cancer: the functional assessment of chronic illness therapy–Spiritual Well-being Scale (FACIT-Sp) Ann Behav Med. 2002;24(1):49–58. doi: 10.1207/S15324796ABM2401_06. [DOI] [PubMed] [Google Scholar]
  • 30.Simes RJ, Greatorex V, Gebski VJ. Practical approaches to minimize problems with missing quality of life data. Stat Med. 1998;17(5-7):725–37. doi: 10.1002/(sici)1097-0258(19980315/15)17:5/7<725::aid-sim817>3.0.co;2-1. [DOI] [PubMed] [Google Scholar]
  • 31.Musil CM, Warner CB, Yobas PK, Jones SL. A comparison of imputation techniques for handling missing data. West J Nurs Res. 2002;24(7):815–29. doi: 10.1177/019394502762477004. [DOI] [PubMed] [Google Scholar]

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