Adjuvant Radioactive Iodine Use Among Differentiated Thyroid Cancer Patients in the Military Health System - Insurance News | InsuranceNewsNet

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September 15, 2014 Newswires
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Adjuvant Radioactive Iodine Use Among Differentiated Thyroid Cancer Patients in the Military Health System

Zhu, Kangmin
By Zhu, Kangmin
Proquest LLC

ABSTRACT Objective: Adjuvant radioactive iodine (RAI) for the treatment of differentiated thyroid cancer has been associated with better prognosis, but no consensus has been reached on the best practices for RAI. Limited data on RAI use and factors associated with the receipt of postoperative RAI in the general population are available and, to our knowledge, no data on RAI use among the U.S. Department of Defense (DoD) beneficiaries. Methods: Among 3,002 beneficiaries with differentiated thyroid cancer, who underwent total/near-total thyroidectomy between 1998 and 2007, logistic regression identified factors associated with RAI and examined effect modification by age and tumor size. Results: Fifty-two percent of patients received RAI. Receipt of RAI was more likely among beneficiaries who were diagnosed between 2004 and 2007, active duty members, had indirect care, and more advanced disease, and less likely among those affiliated with the Air Force or had unknown medical coverage. In addition, receipt of RAI significantly varied by tumor size among patients with regional lymph node metastasis. Conclusion: Among DoD beneficiaries, adjuvant RAI use was associated with clinical and nonclinical factors. Although evidence of effect modification between the recipient of RAI by tumor size was apparent, future research with a larger sample size is warranted to confirm results of this study.

INTRODUCTION

Although thyroid cancer is relatively rare, incidence among men and women in the United States continues to rise.1-3 According to the American Cancer Society, approximately 60,220 new thyroid cancer cases will be diagnosed in 2013, of which 75% will occur among women and 80% will occur among individuals younger than 65 years of age.1 The 5-year survival rate among thyroid cancer patients is 98%; however, 1,850 individuals are estimated to die from this disease in 2013 in the United States.1

Total or near-total thyroidectomy is the standard treatment for most patients with differentiated thyroid cancer (DTC), the most common form of thyroid cancer that includes papillary, follicular, and Hurthle cell thyroid cancers. Postoperative radioactive iodine (RAI) remnant ablation is also recom- mended to destroy any residual thyroid tissue that remains after thyroidectomy.4-7 Studies have found that adjuvant RAI is associated with increased survival8-13 and decreased recur- rence.8,11,13-15 However, its effectiveness may vary by tumor size and/or tumor stage. Among low-risk patients (patients with small or stage I or II tumors with no distant metastasis), studies have shown little to no benefit of adjuvant RAI with regard to disease recurrence and survival.9,12,16,17

In the general population, the use of RAI has risen over the past 20 years for DTC patients18 with almost two-thirds hav- ing received RAI after thyroidectomy in the most recent years.19 To the best of our knowledge, data on the factors associated with RAI use are sparse. In one study, multivariate analysis revealed that patients who were younger, had no comorbidities, or follicular cell tumors tended to receive RAI more frequently, whereas individuals who were female, black, uninsured, used Medicare/Medicaid, or had early stage tumors were less likely to receive postoperative RAI.18

Although the use of RAI and factors associated with receipt of postoperative RAI have been evaluated in the general pop- ulation,18 RAI use among the military population, an equal access care system, is unclear and, to our knowledge, has not been examined. Therefore, the aim of this study was 2-fold: (1) investigate the use of adjuvant RAI among Department of Defense (DoD) beneficiaries with DTC who underwent total or near-total thyroidectomy in the Military Health System (MHS) and (2) assess the factors associated with the use of adjuvant RAI and examine whether receipt of RAI varied by age at diagnosis, due to recommendations varying by age,5-7 and tumor size.

METHODS

Data Source

This study was based on linked data from the DoD's Central Cancer Registry (CCR) and the MHS Data Repository (MDR). CCR and MDR contain information on individuals who receive health care through TRICARE, the DoD's health care program, including active duty members, retirees, National Guard and Reserve members, and depen- dents. Data on demographic, health, and tumor characteris- tics of cancer cases diagnosed and/or treated at military treatment facilities (MTFs) are collected and maintained in CCR. Certified cancer registrars abstract the data from patient records and enter them into the database. Adminis- trative and medical care claims data, which include infor- mation from in-patient and out-patient services provided either directly at MTFs (direct care) or civilian facilities (indirect care), but are paid for by the DoD, were entered and stored in MDR. The MDR data include clinical diagnosis, diagnostic procedures, treatment, health conditions, and medical prescriptions. After the CCR and MDR databases were linked, de-identified data were delivered to the research team.

The data linkage project, which this analysis was based on, was reviewed and approved by the institutional review boards of the Walter Reed National Military Medical Center, TRICARE Management Activity, and the National Institutes of Health Office of Human Subjects Research.

Study Subjects

Between 1998 and 2007, there were 3,016 eligible patients diagnosed with primary, histologically confirmed DTC not reported first via death certificate or autopsy. Poorly DTC, which include medullary and anaplastic carcinomas and account for about 5% of all thyroid cancers, do not absorb RAI readily; therefore, adjuvant RAI is generally not recom- mended for these patients,20,21 so they were not eligible for inclusion in this study. Patients were excluded if they did not undergo total or near-total thyroidectomy (N = 6) or received radioiodine before undergoing surgery (N = 8).

Study Variables

Demographic variables were obtained from CCR, with sup- plemental information obtained from MDR if values were missing. If information were missing from both CCR and MDR, then the value was considered to be unknown. Year of diagnosis included the following categories: 1998-1999, 2000-2001, 2002-2003, 2004-2005, and 2006-2007. Age at diagnosis was classified into five groups: 20 to 34 years, 35 to 44 years, 45 to 54 years, 55 to 64 years, and 65+ years. Race and ethnicity categories were based on the definitions used in the 2000 U.S. Census and were classified as non-Hispanic white, non-Hispanic black, non-Hispanic Asian/Pacific Islander, Hispanic, and other/unknown (American Indian/Alaskan Native or unknown). Marital status at diagnosis included never mar- ried, married, other (separated, divorced, or widowed), and unknown. Duty status at diagnosis was categorized as active duty or non-active duty, which included retirees and depen- dents. Affiliated military service branch was classified into six groups: Army, Air Force, Navy, Marines, other (Coast Guard or Public Health service), and unknown. Benefit type was classi- fied as TRICARE Prime (HMO component), TRICARE non- Prime, or unknown medical coverage.

Treatment information was obtained from CCR and MDR. If either database recorded a patient as having surgery within 12 months after diagnosis, then surgery was classified as "yes." Source of care during a 3-year period around surgery (1.5 years before 1.5 years after surgery) was categorized as direct care, indirect care, both direct and indirect care, and unknown. It is recommended that RAI be administered within 3 months of total or near-total thyroidectomy5,6; there- fore, the receipt of RAI was considered "yes" if CCR or MDR recorded the occurrence within this timeframe.

Data on tumor characteristics were obtained from CCR. Tumor histology was classified as papillary, follicular, or Hurthle cell, based on the third version of the International Classification of Diseases (ICD-3) codes (8050, 8052, 8260, 8290, 8330-8332, 8335, 8340, 8341-8344, 8350). Tumor size, in centimeters, was categorized as <1, 1.0 to 4, and >4, based on more recent RAI recommendations.6,7 Lymph node involvement was categorized as none, metastasis in regional lymph nodes, and unknown ("regional lymph nodes cannot be assessed"). Metastasis classification was none, distant, or unknown. Tumor stage at diagnosis was defined according to the recommendations of the American Joint Committee on Cancer.22 Disease recurrence was categorized as either no or yes.

Comorbidity information was obtained from MDR and was based on ICD-9 diagnosis codes. If a diagnosis was recorded in inpatient and/or outpatient data during the year before thyroid cancer diagnosis and was recorded at least three times (to reduce the possibility of false diagnoses), then the comorbidity was considered present. The Charlson comorbidity index, which is a weighted measure of comor- bidity, was categorized as none, one, or greater than one;23 thyroid cancer diagnosis was excluded from the calculation.

Statistical Analysis

?2 tests of significance were used to compare demographic, tumor, and health characteristics between patients who received and did not receive RAI. Backwards stepwise logis- tic regression was implemented and variables that met the entry/stay criteria of having a p value £0.1 were then included in an overall model. On the basis of the final overall model, we further conducted analyses stratified by age at diagnosis (<45 or >45, the recommended cut point for RAI use5-7) and tumor size. Odds ratios (OR) and 95% confi- dence intervals (CI) were calculated for overall and stratified analyses. The likelihood ratio test, comparing models with and without interaction terms, was conducted to identify sig- nificant interactions between risk factors identified in the final overall model and age at diagnosis and tumor size. Tests of significance were two-tailed and conducted at an alpha of 0.05 using Statistical Analysis System (SAS) software, Ver- sion 9.3 for Windows (SAS Institute, Cary, North Carolina).

RESULTS

A total of 3,002 thyroid cancer patients were included in this study, of which 1,571 (52.3%) received RAI. The percent- ages of use for the population recommended for RAI were 57, 61, 75, and 69 for stage II and <45 years of age, stage II and 345 years of age, stage III, and stage IV, respectively. Table I shows demographic, tumor, and disease characteristics of DTC patients by RAI treatment status. Patients diagnosed with thyroid cancer in later years and those who were youn- ger, never married, or active duty members were more likely to receive RAI compared to those who were diagnosed with thyroid cancer in earlier years, older, had other marital status, or non-active duty status ( p value: <0.01). Patients whose sponsors were in the Air Force tended to be less likely to have RAI than those in other service branches ( p value: 0.02). In addition, patients with TRICARE Prime, Hurthle cell histolo- gies, larger tumors, regional lymph node involvement, or later tumor stage were more likely to receive RAI than those with TRICARE non-Prime or unknown medical coverage, other tumor histologies, smaller tumors, no or unknown lymph node involvement, and early tumor stage ( p value £ 0.03).

The results from the backwards stepwise regression are presented in Table II. Receipt of RAI was more likely among those diagnosed with thyroid cancer between 2004 and 2007 (2004-2005: OR = 1.41, 95% CI = 1.01-1.97; 2006-2007: OR = 1.53, 95% CI = 1.09-2.14) compared to those diagnosed from 1998 to 2001. RAI was also more likely among active duty beneficiaries than non-active duty beneficiaries (OR = 1.47, 95% CI = 1.21-1.79). In addition to, the receipt of RAI was also more likely among beneficiaries who had some form of indirect care (indirect care: OR = 1.28, 95% CI = 1.01-1.64; direct/indirect care: OR = 1.65, 95% CI = 1.19-2.30), large tumors (1.0- 4.0 cm: OR = 4.49, 95% CI = 3.71-5.43; >4.0 cm: OR = 2.43, 95% CI = 1.91-3.09), or stage III (OR = 3.21, 95% CI = 2.21-4.66), and unknown stage tumors (OR = 1.65, 95% CI = 1.29-2.12) than patients with direct care, smaller tumors, or stage I cancer. Furthermore, regional lymph node involvement was also associated with increased receipt of RAI (OR = 2.42, 95% CI = 1.73-3.37). Conversely, beneficiaries affiliated with the Air Force (OR = 0.73, 95% CI = 0.61-0.89) or had unknown benefit type (OR = 0.57, 95% CI = 0.39-0.83) were less likely to receive RAI compared to those who were affiliated with the Army or had TRICARE Prime.

In general, receipt of RAI did not vary consistently by age at diagnosis (Table III) or tumor size (Table IV). Although there was some variation between subgroups, CIs overlapped between the subgroups defined by age at diagnosis or tumor size for most variables. However, the receipt of RAI in relation to lymph node involvement varied by tumor size ( p interaction: 0.03; Table IV). In comparison to patients without regional lymph node involvement, patients with <1 cm tumors, were 7.6 times more likely to receive RAI compared to 1.7 times more likely for patients with 1 to 4 cm tumors (95% CIs = 3.58-16.17 and 1.06-2.57, respectively). In addition, although the p values for interactions were not significant, the CIs did not overlap for stage II tumors by age at diagnosis (Table III) or tumor size (1.0- 4.0 cm vs. >4.0 cm; Table IV) and indirect care by tumor size (<1.0 cm vs. 1.0- 4.0 cm; Table IV).

DISCUSSION

According to the common guidelines,5-7 RAI is recom- mended for stages III and IV DTC as well as those patients with stage II thyroid cancer depending on an age cutoff of 45 years. On the basis of the available data, this study showed that MHS beneficiaries were more likely to use RAI than the general population for most groups recommended for RAI (61% vs. 52% for stage II and 45 years or older, 75% vs. 61% for stage III, and 69% vs. 64% for stage IV).19 This study also found that receipt of RAI was more common among beneficiaries diagnosed with thyroid cancer in later years, and those with active duty status, indirect or direct/indirect care, tumors 31 cm, stage III or unknown tumors, and regional lymph node involvement, but less common among beneficia- ries who were in the Air Force or had unknown insurance. Furthermore, the use of RAI varied by tumor size for lymph node involvement, where the receipt of RAI significantly varied by tumor size among patients with regional lymph node metastasis. It may also be possible that RAI use varied by age at diagnosis for tumor stage as well as tumor size for source of care and tumor stage.

Associations between RAI use and demographics and tumor characteristics were examined in a study based on the National Cancer Data Base, a program of the Commission of Cancer of the American College of Surgeons and the American Cancer Society.18 Consistent with this study, we found that younger patients were more likely to receive RAI. However, our multivariate analysis did not show significant associations between the receipt of RAI and sex, race/ethnicity, comorbidity, or tumor histology. Lack of an association between RAI use and race/ethnicity among DoD beneficiaries might result from equal access to medical care regardless of racial/ethnic background. Therefore, different racial/ethnic groups might have equal opportunity to receive RAI. Although comorbidities may be related to the doctor's recommendation and the patient's receipt of RAI, this study suggests that the presence of comorbidities were not associated with RAI use among DoD beneficiaries. Though the reasons for this finding are not clear, reduced comorbidity-related differences in the access and use of medical care might play a role. Although RAI recommendations based on tumor histology are not consistent,7 our study suggests that the use did not vary by histologic type among DoD beneficiaries. Unlike the afore- mentioned study, we found that larger, more advanced tumors were associated with the increased receipt of RAI among DoD beneficiaries. This might be related to treatment recommenda- tions. The receipt of RAI as adjuvant treatment is recom- mended for all patients with advanced stage disease and tumors >4 cm, as well as selective use for patients with tumors between 1 and 4 cm.6,7 These treatment recommendations might be more closely followed within the MHS.

This study also showed that DoD-specific demographic characteristics influence the receipt of RAI among its benefi- ciaries. In particular, this study found that being an active duty member and at least some indirect care were associated with receipt of RAI. Active duty members of the military receive free care while nonactive duty beneficiaries may be required to pay a minimal fee for services depending on the benefit type. Therefore, active duty members might be more likely to use health care services and in turn, more likely to receive RAI. Having both direct and indirect care may increase one's exposure to different health care providers, which could possibly influence treatment decisions, and thus receiving RAI. Conversely, receipt of RAI was less likely among patients affiliated with the Air Force. We are not aware of differing treatment guidelines for RAI use among the various services branches of the military; however, we cannot exclude the possibility that different service branches have differing practice patterns with regards to the utilization of adjuvant RAI. Having unknown medical coverage was also related to beneficiaries receiving less RAI. It is possible that these beneficiaries have supplemental health insurance and may obtain treatment through health care services not paid for by the DoD; therefore, RAI use among these patients were less likely compared to those who have TRICARE Prime.

Our study further indicated that the relationship between receipt of RAI and lymph node metastasis varied by tumor size. There is a possibility that RAI is more likely used for lymph node metastasis when tumor size is small and RAI is selective. Although more affirmative evidence is needed on whether the relationship between RAI and care source varies by tumor size, it is also possible that when the tumor is small and RAI is selective, civilian medical facilities (indirect care) may be more likely to use RAI than military medical facili- ties (direct care). The possible increased association between RAI use and stage II tumors among patients aged 45 years and older is in line with common guidelines.5-7 As far as we know, research is limited in this area. Future research assessing whether the receipt of RAI varies by these factors in a larger population is needed to confirm our results.

To the best our knowledge, this is the first study that has examined the use of adjuvant RAI and related factors among MHS beneficiaries. Caution should be taken in the interpreta- tion of our study results, however, as limitations in this study exist. Although treatment information was relatively complete through the use of data from both CCR and MDR, some information may not be included. If patients had addi- tional health care insurance, and received services that were not paid by the DoD and thus not recorded in the MDR data, the receipt of RAI might be underestimated and the results on related factors might be affected if the underestimation was differential between different levels/categories of a variable. However, we found that benefit type, which likely affects the possibility of having and using additional non-DoD insurance, was not related to receipt of RAI. Thus, the effects on the results of having additional non-DoD insurance are likely limited. Insufficient sample size for certain stratified analyses is another potential limitation. Additional research with larger numbers of patients is warranted. Furthermore, our data is several years old; therefore, we cannot exclude the possibility that the current patterns of RAI use may differ due to the possible changes in TRICARE coverage or treat- ment guidelines.

CONCLUSION

Among DoD beneficiaries, use of adjuvant RAI was associated with year of diagnosis, age at diagnosis, duty status, military service branch, source of care, tumor size, tumor stage, and lymph node metastasis. Although evidence of effect modifica- tion between the receipt of RAI by age at diagnosis and tumor size was apparent, future research with a larger sample size is warranted to confirm the results of this study.

ACKNOWLEDGMENTS

The authors thank many people from ICF Macro, Kennel and Associates, Inc., the Armed Forces Institute of Pathology, the National Cancer Institute, and the United States Military Cancer Institute for their contributions to or support for the original data linkage project.

This project was supported by John P. Murtha Cancer Center, Walter Reed National Military Medical Center via the Uniformed Services Univer- sity of the Health Sciences under the auspices of the Henry M. Jackson Foundation for the Advancement of Military Medicine and by the intramural research program of the National Cancer Institute (NCI). The original data linkage was supported by the United States Military Cancer Institute and Division of Cancer Epidemiology and Genetics, NCI.

REFERENCES

1. American Cancer Society. Cancer Facts & Figures 2013. Atlanta, GA, American Cancer Society, 2013. Available at http://www.cancer.org/ research/cancerfactsfigures/cancerfactsfigures/cancer-facts-figures-2013; accessed April 15, 2013.

2. Chen AY, Jemal A, Ward EM: Increasing incidence of differentiated thyroid cancer in the United States, 1988 - 2005. Cancer 2009; 115(16): 3801-7.

3. Enewold L, Zhu K, Ron E, et al: Rising thyroid cancer incidence in the United States by demographic and tumor characteristics, 1980-2005. Cancer Epidemiol Biomarkers Prev 2009; 18(3): 784-91.

4. Cobin RH, Gharib H, Bergman DA, et al: AACE/AAES medical/surgical guidelines for clinical practice: management of thyroid carcinoma. American Association of Clinical Endocrinologists. American College of Endocrinology. Endocr Pract 2001; 7(3): 202-20.

5. Cooper DS, Doherty GM, Haugen BR, et al: Management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid 2006; 16(2): 109-42.

6. Cooper DS, Doherty GM, Haugen BR, et al: Revised American Thyroid Association management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid 2009; 19(11): 1167 -214.

7. National Comprehensive Cancer Network (NCCN). NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines): Thyroid Carci- noma. Version 1.2013. Available at http://www.nccn.org/professionals/ physician_gls/f_guidelines.asp#site; accessed March 29, 2013.

8. Mazzaferri EL, Jhiang SM: Long-term impact of initial surgical and medical therapy on papillary and follicular thyroid cancer. Am J Med 1994; 97(5): 418-28.

9. Jonklaas J, Sarlis NJ, Litofsky D, Ain KB, Bigos ST, Brierley JD, et al: Outcomes of patients with differentiated thyroid carcinoma following initial therapy. Thyroid 2006; 16(12): 1229- 42.

10. Lo CY, Chan WF, Lam KY, Wan KY: Optimizing the treatment of AMES high-risk papillary thyroid carcinoma. World J Surg 2004; 28(11): 1103-9.

11. Samaan NA, Schultz PN, Hickey RC, et al: The results of various modalities of treatment of well differentiated thyroid carcinomas: a retrospective review of 1599 patients. J Clin Endocrinol Metab 1992; 75(3): 714-20.

12. Podnos YD, Smith DD, Wagman LD, Ellenhorn JD: Survival in patients with papillary thyroid cancer is not affected by the use of radioactive isotope. J Surg Oncol 2007; 96(1): 3-7.

13. Mazzaferri EL: Thyroid remnant 131I ablation for papillary and follicular thyroid carcinoma. Thyroid 1997; 7(2): 265-71.

14. Loh KC, Greenspan FS, Gee L, Miller TR, Yeo PP: Pathological tumor- node-metastasis (pTNM) staging for papillary and follicular thyroid carcinomas: a retrospective analysis of 700 patients. J Clin Endocrinol Metab 1997; 82(11): 3553-62.

15. Sawka AM, Thephamongkhol K, Brouwers M, Thabane L, Browman G, Gerstein HC: Clinical review 170: a systematic review and metaanalysis of the effectiveness of radioactive iodine remnant ablation for well- differentiated thyroid cancer. J Clin Endocrinol Metab 2004; 89(8): 3668-76.

16. Sanders LE, Cady B: Differentiated thyroid cancer: reexamination of risk groups and outcome of treatment. Arch Surg 1998; 133(4): 419-25.

17. Schvartz C, Bonnetain F, Dabakuyo S, et al: Impact on overall survival of radioactive iodine in low-risk differentiated thyroid cancer patients. J Clin Endocrinol Metab 2012; 97(5): 1526-35.

18. Haymart MR, Banerjee M, Stewart AK, Koenig RJ, Birkmeyer JD, Griggs JJ: Use of radioactive iodine for thyroid cancer. JAMA 2011; 306(7): 721-8.

19. Famakinwa OM, Roman SA, Wang TS, Sosa JA: ATA practice guide- lines for the treatment of differentiated thyroid cancer: were they followed in the United States? Am J Surg 2010; 199(2): 189 - 98.

20. American Cancer Society. Cancer Facts & Figures 2012. Atlanta, GA, American Cancer Society, 2012. Available at http://www.cancer.org/ research/cancerfactsfigures/cancerfactsfigures/cancer-facts-figures-2012; accessed December 12, 2012.

21. American Cancer Society. Thyroid cancer detailed guide. Atlanta, GA, American Cancer Society, 2011. Available at http://www.cancer.org/ cancer/thyroidcancer/detailedguide/index; accessed December 3, 2012.

22. Edge SB, Byrd DR, Compton CC, Fritz AG, Greene FL, Trotti A (editors): AJCC Cancer Staging Manual, Ed 7. New York, NY, Springer, 2010.

23. Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40(5): 373-83.

Abegail A. Gill, MPH*; Lindsey Enewold, PhD*; Shelia H. Zahm, ScD[dagger];

COL Craig D. Shriver, MC USA*[double dagger]§; Li Zheng, PhD?;

Katherine A. McGlynn, PhD[dagger]; Kangmin Zhu, MD*§

*John P. Murtha Cancer Center, Walter Reed National Military Medical Center, 11300 Rockville Pike, Suite 1215, Rockville, MD 20852.

[dagger]National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850.

[double dagger]General Surgery Service, Walter Reed National Military Medical Center, 8901 Wisconsin Avenue, Building 19, 3rd Floor, Room 3347, Bethesda, MD 20889.

§Uniformed Services University, 4301 Jones Bridge Road, Bethesda, MD 20814.

kInova Education and Research Center, Inova Fairfax Hospital, 3300 Gallows Road, Falls Church, VA 22042.

The views expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the Department of the Navy, Department of the Army, Department of Defense, National Cancer Institute, nor the U.S. Government. Nothing in the presentation implies any Federal/Department of Defense endorsement.

doi: 10.7205/MILMED-D-13-00540

Copyright:  (c) 2014 Association of Military Surgeons of the United States
Wordcount:  4148

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