Skip to main content

Heath-related quality of life in thyroid cancer patients following radioiodine ablation

Abstract

Background

There is limited information about the medium to long-term health-related quality of life (QOL) in thyroid cancer patients after initial therapy and the existing studies suffer from limitations. The aim of the study was to assess the determinants of medium-term QOL after the initial therapy.

Methods

Following a total thyroidectomy, 88 thyroid cancer patients received either rhTSH or hypothyroid-assisted radioiodine ablation (RRA) using 3.7 GBq (100 mCi) of radioiodine. QOL evaluation of the patients using the validated Functional Assessment of Chronic Illness & Therapy (FACIT) was performed at the time of inclusion (t0) and later at the 9-month post-RRA (t1).

Results

83 patients were eligible for the final evaluation. Medium-term FACIT scores were not statistically different between t0 and t1 patients. All but one domain of the QOL score was similar between t0 and t1. Using a multivariate analysis, only age and immediate postoperative QOL scores were found to be determinants of the overall medium term 9-month QOL scores. Analysis showed that 'high QOL levels' (baseline and 9-month) and 'no depression', 'low anxiety levels', were associated with '<45yrs', 'men', 'partner', and 'rhTSH stimulation'.

Conclusions

The use of radioiodine ablation does not seem to affect the medium term QOL scores of patients. Medium-term QOL is mainly determined by pre-ablation QOL. The assessment of baseline QOL might be interesting to evaluate in order to adapt the treatment protocols, the preventive strategies, and medical information to patients for potentially improving their outcomes.

Background

Most well-differentiated thyroid cancers (WDTC) are treated with a total thyroidectomy followed by selective use of radioiodine for remnant ablation (RRA) [16]. Survival rates are excellent but poor quality of life (QOL) outcomes have been reported in thyroid cancer patients. The use of recombinant TSH (rhTSH) for RRA improves QOL during the peri-ablation period but its impact beyond this period remains to be determined in a model including other factors that contribute to influence QOL [7, 8]. There is limited information about the medium to long-term quality of life (QOL) and the existing studies suffer from limitations including a cross-sectional design [914], a small sample size [15, 16], the small number of QOL domains assessed [10, 16] and the absence of baseline QOL data.

In our previous report, we found that the 9-month QOL (medium term QOL) did not differ according to the TSH stimulation method (rhTSH or hypothyroid-assisted RAA) but we did not take into account the QOL potential confounding variables including the baseline QOL status of patients [8].

The aim of the present prospective study was to identify the determinants of the medium term QOL after complete initial therapy.

Methods

Study design and data collection

This is a longitudinal study. Newly diagnosed well-differentiated papillary or follicular thyroid cancer patients were included. Subjects were staged pT1-T3, N0-Nx-N1, M0 (if <5 nodes and without extracapsular spread), had total thyroidectomy and underwent RRA (either rhTSH or hypothyroid-assisted RRA, using 3.7 GBq radioiodine). The patients were assessed at the time of study inclusion (t0) and at the 9 month-post-RRA follow-up control (t1). The following data were collected: socio-demographic parameters, pTNM stage, clinical data, anxiety (Spielberger trait anxiety inventory) [17, 18], depression (self-administered Beck Depression Inventory, BDI) [19], and QOL (functional assessment of chronic illness therapy, FACIT) scores [2022]. This study was integrated in a prospective randomized study previously described in detail 8, in which the primary objective was to compare the impact and the efficacy of two TSH stimulation procedures. The aim of this present report was a secondary objective of the original protocol.

Instruments to assess anxiety, depression and quality of life

  1. 1.

    The level of anxiety was assessed with the state scale of the Spielberger trait anxiety inventory (20 items, scale range 20-80, higher scores corresponding to higher levels of anxiety).

  2. 2.

    The BDI score range is 0-39, with higher scores indicating worsening depression (score 0-<4: no depression, 4-<8: mild depression, 8-<30: moderate depression; score >30: severe depression).

  3. 3.

    The QOL was assessed using the functional assessment of chronic illness therapy. Functional assessment of chronic illness therapy (FACIT) is a well validated and widely used tool for evaluation of QOL in cancer patients. It includes the generic CORE questionnaire - functional assessment of cancer therapy-general (FACT-G) - which contains general questions divided into four primary QOL domains (a total of 27 items): physical well-being (PWB, 7 items, 0-28), social/family well-being (SWB, 7 items, 0-28), emotional well-being (EWB, 6 items, 0-24), and functional well-being (FWB, 7 items 0-28), and an additional fatigue subscale (FS, 13 items, 0-52) directly related to the impact of fatigue on daily activities. Three scores can be derived: a FACIT-F trial outcome index (TOI) corresponding to the sum of the PWB, FWB and FS subscales (range from 0 to 108), a FACT-G total score corresponding to the sum of the first four subscales PWB, SWB, EWB, FWB (range from 0 to 108), a FACIT-F total score corresponding to the sum of the FACT-G and the FS (range from 0 to 160). Higher scores are associated with higher QOL levels.

Statistical analysis

Data were expressed in mean and standard deviations (SD) or median and ranges depending on the parametric or non-parametric distribution of the variable. Mean comparisons of QOL scores between different sub-groups (gender, age, educational level, marital status, children, occupational status, tumour staging, 1-/2-stage thyroidectomy, initial remnant ablation, depression) were performed using Mann-Whitney tests or Student's t-tests. Associations between QOL scores and continuous variables (anxiety level, interval surgery/131I, baseline QOL) were analyzed using Pearson's correlation tests. Multivariate analyses using multiple linear regression (forward-stepwise selection) were performed to determine variables potentially linked to medium term QOL levels. The FACIT-F, the FACIT-G, the FACIT-F TOI, and each of the five domains were considered as separate dependent variables. The variables relevant to the models were selected from the univariate FACIT-F total score analysis, based on a threshold p-value ≤0.20 (gender, age group, marital status, depression, anxiety, and baseline QOL level). Initial remnant ablation was included as an additional variable in the models owing to its clinical interest. The final models incorporated the standardized beta coefficients. The independent variables with the higher standardized beta coefficients are those with a greater relative effect on QOL. The statistical analyses were performed using the SPSS version 15.0 software package (SPSS Inc., Chicago, IL, USA). All the tests were two-sided. The statistical significance threshold was defined as p < 0.05. To further explore the relation between QOL levels (baseline and 9-month QOL) and the previous selected variables (gender, age group, marital status, depression, initial RAA, anxiety), a complementary multiple correspondence analysis (MCA), allowing the detection of clusters, was conducted using SPAD 3.21.

The MCA is a factor analysis approach. MCA may be considered to be an extension of simple correspondence analysis to more than two variables. MCA is used to produce a graphical representation of a set of categorical variables, based on all possible pairs of cross tabulations. MCA was performed projecting the variables onto a succession of two-dimensional planes. The relationship between variables can be deduced from the relative positions of the modalities of the variables on the planes [23].

QOL and anxiety scores were arbitrarily categorised using their median/25-75th percentile values to define four classes: 1-very low/2-low/3-high/4-very high QOL levels or anxiety. All other variables were dichotomised in two or more categories. Patient characteristics (illustrative variables) were projected on the plane in order to detect the strength of the association with 9-month QOL, baseline QOL, depression, and anxiety (active variables) [24].

Results

Patients characteristics

Eighty eight consecutive patients were enrolled of whom 83 patients were eligible for the final evaluation (2 patients re-operated before t1, 1 patient lost to follow-up, 2 with incomplete data). The socio-demographic, clinical features and self-reported data are detailed in Table 1. The mean age of the sample was 46.9 years (SD 14.2), and the men:women ratio was 0.17. Approximately two thirds of patients declared having a partner, had high school educational level or above, had at least one child, and were in employment. According to our inclusion criteria, most tumours were considered low-risk for persistent disease. Thyroidectomy was performed in one stage in more than 80% of cases. More than 20% of the sample suffered from moderate or severe depression at baseline. At the 9-month follow-up control, only one patient had persistent disease.

Table 1 Baseline characteristics of the sample (n = 83).

Clinical and sociodemographic factors linked to QOL

Univariate analyses are detailed in Table 2. The 9-month FACIT-F score was statistically linked to gender, age, depression, anxiety, and baseline FACIT-F score. Older patients reported significantly worse scores for the three combined scores (FACIT-F, FACT-G, and FACIT-F TOI), and for SWB, FWB, and FS dimensions. Men had significantly better scores for two of the three scores (FACIT-F and FACIT-F TOI), and for two dimensions (PWB and FS). Depression and anxiety were always significantly related to lower QOL (except depression and the PWB dimension). All baseline QOL levels were positively correlated with 9-month QOL levels. None of the scores and domains were linked with educational level, marital status, occupational status or having children. A trend towards higher QOL levels was observed in non-working people, without children, with a partner and with a higher educational level. Means scores did not differ according to tumour staging (T or N) and thyroidectomy stage (one- or two-stage). Interval surgery/131I was also not correlated with 9-month QOL. Multivariate models are detailed in Table 3. The selected variables were gender, age group, marital status, initial RAA, depression, anxiety, and baseline QOL level. No links were found between the 9-month QOL and the modality of TSH stimulation. Marital status, baseline anxiety and depression were not linked to QOL, except SWB which was altered in subjects with initial depression. Baseline QOL directly influenced the QOL at the follow-up control. Older patients reported lower QoL levels in the 3 scores, and 2 of the 5 dimensions (FWB and FS). The PWB dimension was the single dimension influenced by gender, indicating a lower score for women. Figure 1 shows the results of the MCA regarding the relationship between 9-month QOL and other characteristics. Three clusters can be isolated in accordance with the results of the linear regression. In the right of the graph, a first cluster including 'no depression', 'low anxiety levels', and 'high QOL levels' (baseline and 9-month) presented close similarities with 'younger', 'men', 'partner', and 'rhTSH' response modalities. 'Mild depression', 'high anxiety', 'low baseline QOL' are associated with 'low' and 'very low 9-month QOL' and represent a second cluster. 'Single' seems included in this second cluster as 'partner' seems more closed of the first one, but 'age group' is probably a confounding factor as demonstrated by the linear regression. A third cluster groups together 'moderate depression', 'severe depression', 'very high anxiety level', and 'very low baseline QOL'.

Table 2 Associations between 9-month FACIT scores/dimensions and sociodemographics, baseline clinical characteristics
Table 3 Factors linked to the 9-month FACIT scores/dimensions: multivariate analysis (standardized beta coefficient)
Figure 1
figure 1

Multiple correspondence analysis (MCA), plane of the first two factorial axes (factor 1 and factor 2) representing relationship with the 9-month QOL Green circles: 9-month QOL (very low/low/high/very high); Black circles: anxiety (very low/low/high/very high), depression (no/mild/moderate/severe), baseline QOL (very low/low/high/very high); Pink circles: patients' parameters; single/partner, <45y/> = 45y, men/women, hypo/rhTSH.

Discussion

In recent years, attention has been paid to the effect of treatment on QOL in cancer patients [25].

We have previously found as Pacini et al, that the use of rhTSH preserves the QOL of patients in the peri-ablation period [7, 8]. To our knowledge, this is the first longitudinal study which assesses the determinant factors of QOL at the first post-ablation follow-up control and seems show that QOL at the first post-ablation follow-up (the overall 9-month QOL scores: FACIT-F, FACT-G, FACIT-F TOI) is not affected by modality of TSH stimulation prior to therapy and influenced only by patient age and the baseline QOL. Due to the lack of evaluation of baseline status, other QOL studies have not accounted for the potential impact of baseline QOL. In the present study, numerous confounding factors have been incorporated including socio-demographic parameters (age, gender, educational level, marital status, having children, occupational status), initial clinical characteristics (tumour staging, RAA therapy, surgery/131I time), and psychological variables (anxiety, depression) that aid in a more reliable assessment. Age at initial treatment is often quoted as a QOL predictive factor with older patients more vulnerable than the young [9, 1214]. As in other studies, gender and marital status [12, 13] and educational level did not influence QOL [13]. In our study tumour stage and the thyroidectomy dynamic (one- or two-stage) also did not influence QOL outcome. However this conclusion should be qualified by the fact that our study cohort consisted of low-risk patients given that only one patient had persistent disease at 9 months and the two other patients with persistent metastatic lymph nodes underwent surgery during the first 6 months following ablation and were excluded from the analysis. Our results failed to demonstrate any influence of depression and anxiety on median-term QOL, domains often defined as independent parameters linked to QOL [13]. These last two factors may be of significant clinical value for health care workers. Despite these interesting findings, our study suffers from several limitations. The sample size was larger than the referenced prospective study [7] but too small to be compared to some cross-sectional studies [12, 13]. In our multivariate analysis, several determinants might have been missed by the low statistical power and other studies with larger populations will be necessary. But this nevertheless represents an improvement on studies that do not take into account the potential QOL confounding factors [7, 10, 16]. The representativeness of our cohort may be questioned since it differs from the Pacini study which whilst using the same design comprised more male patients (20% versus 14.5%), and a lower mean age (43 versus 47 years). The comparison with cross-sectional studies is difficult because parameters have been collected at the time of the study and not at the time of the initial treatment resulting in a slightly older cohort than in our study [10, 12, 16]. Also our proportion of pT1 was higher than in Pacini's study, and we did not include pT1 stage and/or M1 disease. It is clear that there are multiple strategies for assessing QOL, using specific or generic questionnaires but it seems appropriate to adopt a cancer-specific instrument which is more sensitive for detecting and quantifying small changes [26]. Patients with low baseline QOL scores should be specificaly offered additional clinical support: cancer support groups for patients and families, more targeted cancer-related patient information, nurse and pyschologist's aides, participation in treatment decision-making.

Conclusions

Medium- term QOL outcomes in thyroid cancer patients are mainly determined by pre-ablation QOL and seem unaffected by the modality of stimulation adopted. The assessment of baseline QOL may be a useful tool in order to target patients at risk of poor subjective outcomes.

Consent statement

Written informed consent was obtained from the patient for publication of this case report and accompanying images. A copy of the written consent is available for review by the Editor-in-Chief of this journal.

References

  1. Borson-Chazot F, Bardet S, Bournaud C, Conte-Devolx B, Corone C, D'Herbomez M, Henry JF, Leenhardt L, Peix JL, Schlumberger M, Wemeau JL, Baudin E, Berger N, Bernard MH, Calzada-Nocaudie M, Caron P, Catargi B, Chabrier G, Charrie A, Franc B, Hartl D, Helal B, Kerlan V, Kraimps JL, Leboulleux S, Le Clech G, Menegaux F, Orgiazzi J, Perie S, Raingeard I, et al.: Guidelines for the management of differentiated thyroid carcinomas of vesicular origin. Ann Endocrinol (Paris) 2008, 69: 472–486.

    Article  CAS  Google Scholar 

  2. Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel SJ, Mazzaferri EL, McIver B, Pacini F, Schlumberger M, Sherman SI, Steward DL, Tuttle RM: Revised American Thyroid Association management guidelines for patients with thyroid nodules and differentiated thyroid cancer. 75-Thyroid 2009, 19: 1167–1214. 10.1089/thy.2009.0110

    Article  Google Scholar 

  3. Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel SJ, Mazzaferri EL, McIver B, Sherman SI, Tuttle RM: Management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid 2006, 16: 109–142. 10.1089/thy.2006.16.109

    Article  PubMed  Google Scholar 

  4. Luster M, Clarke SE, Dietlein M, Lassmann M, Lind P, Oyen WJ, Tennvall J, Bombardieri E: Guidelines for radioiodine therapy of differentiated thyroid cancer. Eur J Nucl Med Mol Imaging 2008, 35: 1941–1959. 10.1007/s00259-008-0883-1

    Article  CAS  PubMed  Google Scholar 

  5. Pacini F, Schlumberger M, Dralle H, Elisei R, Smit JW, Wiersinga W: European consensus for the management of patients with differentiated thyroid carcinoma of the follicular epithelium. Eur J Endocrinol 2006, 154: 787–803. 10.1530/eje.1.02158

    Article  CAS  PubMed  Google Scholar 

  6. Schlumberger M, Pacini F, Wiersinga WM, Toft A, Smit JW, Sanchez Franco F, Lind P, Limbert E, Jarzab B, Jamar F, Duntas L, Cohen O, Berg G: Follow-up and management of differentiated thyroid carcinoma: a European perspective in clinical practice. Eur J Endocrinol 2004, 151: 539–548. 10.1530/eje.0.1510539

    Article  CAS  PubMed  Google Scholar 

  7. Pacini F, Ladenson PW, Schlumberger M, Driedger A, Luster M, Kloos RT, Sherman S, Haugen B, Corone C, Molinaro E, Elisei R, Ceccarelli C, Pinchera A, Wahl RL, Leboulleux S, Ricard M, Yoo J, Busaidy NL, Delpassand E, Hanscheid H, Felbinger R, Lassmann M, Reiners C: Radioiodine ablation of thyroid remnants after preparation with recombinant human thyrotropin in differentiated thyroid carcinoma: results of an international, randomized, controlled study. J Clin Endocrinol Metab 2006, 91: 926–932.

    Article  CAS  PubMed  Google Scholar 

  8. Taieb D, Sebag F, Cherenko M, Baumstarck-Barrau K, Fortanier C, Farman-Ara B, De Micco C, Vaillant J, Thomas S, Conte-Devolx B, Loundou A, Auquier P, Henry JF, Mundler O: Quality of life changes and clinical outcomes in thyroid cancer patients undergoing radioiodine remnant ablation (RRA) with recombinant human TSH (rhTSH): a randomized controlled study. Clin Endocrinol (Oxf) 2009, 71: 115–123. 10.1111/j.1365-2265.2008.03424.x

    Article  CAS  Google Scholar 

  9. Almeida JP, Vartanian JG, Kowalski LP: Clinical predictors of quality of life in patients with initial differentiated thyroid cancers. Arch Otolaryngol Head Neck Surg 2009, 135: 342–346. 10.1001/archoto.2009.16

    Article  PubMed  Google Scholar 

  10. Hoftijzer HC, Heemstra KA, Corssmit EP, van der Klaauw AA, Romijn JA, Smit JW: Quality of life in cured patients with differentiated thyroid carcinoma. J Clin Endocrinol Metab 2008, 93: 200–203.

    Article  CAS  PubMed  Google Scholar 

  11. Malterling RR, Andersson RE, Falkmer S, Falkmer U, Nilehn E, Jarhult J: Differentiated thyroid cancer in a Swedish county - long-term results and quality of life. Acta Oncol 49(4):454–9.

  12. Pelttari H, Sintonen H, Schalin-Jantti C, Valimaki MJ: Health-related quality of life in long-term follow-up of patients with cured TNM Stage I or II differentiated thyroid carcinoma. Clin Endocrinol (Oxf) 2009, 70: 493–497. 10.1111/j.1365-2265.2008.03366.x

    Article  Google Scholar 

  13. Tagay S, Herpertz S, Langkafel M, Erim Y, Bockisch A, Senf W, Gorges R: Health-related Quality of Life, depression and anxiety in thyroid cancer patients. Qual Life Res 2006, 15: 695–703. 10.1007/s11136-005-3689-7

    Article  PubMed  Google Scholar 

  14. Tan LG, Nan L, Thumboo J, Sundram F, Tan LK: Health-related quality of life in thyroid cancer survivors. Laryngoscope 2007, 117: 507–510. 10.1097/MLG.0b013e31802e3739

    Article  PubMed  Google Scholar 

  15. Chow SM, Au KH, Choy TS, Lee SH, Yeung NY, Leung A, Leung A, Leung HL, Shek CC, Law SC: Health-related quality-of-life study in patients with carcinoma of the thyroid after thyroxine withdrawal for whole body scanning. Laryngoscope 2006, 116: 2060–2066. 10.1097/01.mlg.0000240287.57704.01

    Article  PubMed  Google Scholar 

  16. Eustatia-Rutten CF, Corssmit EP, Pereira AM, Frolich M, Bax JJ, Romijn JA, Smit JW: Quality of life in longterm exogenous subclinical hyperthyroidism and the effects of restoration of euthyroidism, a randomized controlled trial. Clin Endocrinol (Oxf) 2006, 64: 284–291. 10.1111/j.1365-2265.2006.02458.x

    Article  CAS  Google Scholar 

  17. Spielberger C: Manual for the state-trait anxiety inventory (form Y). Palo Alto, CA: consulting psychologists 1983.

    Google Scholar 

  18. Spielberger C, RL G, Lushene R: Manual for the state-trait anxiety inventory (Self-evaluation questionnaire). Palo Alto, CA: consulting psychologists 1970.

    Google Scholar 

  19. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J: An inventory for measuring depression. Arch Gen Psychiatry 1961, 4: 561–571.

    Article  CAS  PubMed  Google Scholar 

  20. Cella D: The Functional Assessment of Cancer Therapy-Anemia (FACT-An) Scale: a new tool for the assessment of outcomes in cancer anemia and fatigue. Semin Hematol 1997, 34: 13–19.

    CAS  PubMed  Google Scholar 

  21. Cella DF, Tulsky DS, Gray G, Sarafian B, Linn E, Bonomi A, Silberman M, Yellen SB, Winicour P, Brannon J, et al.: The Functional Assessment of Cancer Therapy scale: development and validation of the general measure. J Clin Oncol 1993, 11: 570–579.

    CAS  PubMed  Google Scholar 

  22. Yellen SB, Cella DF, Webster K, Blendowski C, Kaplan E: Measuring fatigue and other anemia-related symptoms with the Functional Assessment of Cancer Therapy (FACT) measurement system. J Pain Symptom Manage 1997, 13: 63–74.

    Article  CAS  PubMed  Google Scholar 

  23. Greenacre M, Blasius J: Multiple Correspondence Analysis and Related Methods. London: Chapman and Hall/CRC; 2006.

    Chapter  Google Scholar 

  24. Panagiotakos DB, Pitsavos C: Interpretation of epidemiological data using multiple correspondence analysis and log-linear models. J Data Sci 2004, 2: 75–86.

    Google Scholar 

  25. Bottomley A, Coens C, Efficace F, Gaafar R, Manegold C, Burgers S, Vincent M, Legrand C, van Meerbeeck JP: Symptoms and patient-reported well-being: do they predict survival in malignant pleural mesothelioma? A prognostic factor analysis of EORTC-NCIC 08983: randomized phase III study of cisplatin with or without raltitrexed in patients with malignant pleural mesothelioma. J Clin Oncol 2007, 25: 5770–5776. 10.1200/JCO.2007.12.5294

    Article  CAS  PubMed  Google Scholar 

  26. Patrick DL, Deyo RA: Generic and disease-specific measures in assessing health status and quality of life. Med Care 1989, 27: S217–232. 10.1097/00005650-198903001-00018

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The study was initiated and designed by the investigators and sponsored by Assistance Publique des Hôpitaux de Marseille (APHM). It has been jointly financially supported by the Genzyme Corp. (Cambridge, MA) and the Conseil Général des Bouches du Rhône and Assistance Publique des Hôpitaux de Marseille (APHM).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Taïeb.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

DT contributed to the study design, data collection, statistical analysis, interpretation of data and draft of the paper.

DT, KBB, CF, PA contributed to the study design, interpretation of data, draft of the paper and revision of the manuscript.

FS, JFH, CDM, OM contributed to the study design and patient's recruitment

FFP contributed to data analysis and interpretation of data.

All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Taïeb, D., Baumstarck-Barrau, K., Sebag, F. et al. Heath-related quality of life in thyroid cancer patients following radioiodine ablation. Health Qual Life Outcomes 9, 33 (2011). https://doi.org/10.1186/1477-7525-9-33

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1477-7525-9-33

Keywords