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. Author manuscript; available in PMC: 2014 Aug 29.
Published in final edited form as: Am J Surg. 2013 Jul 16;206(3):393–399. doi: 10.1016/j.amjsurg.2013.01.034

Breast Conserving Surgery versus Mastectomy: The Influence of Comorbidities on Choice of Surgical Operation in the Department of Defense Healthcare System

Jing Zhou 1, Lindsey Enewold 1, Shelia H Zahm 2, Ismail Jatoi 3, Craig Shriver 4,5, William F Anderson 2, Diana D Jeffery 6, Abegail Andaya 1, John F Potter 1,5, Katherine A McGlynn 2, Kangmin Zhu 1,5
PMCID: PMC4148911  NIHMSID: NIHMS618362  PMID: 23866763

Abstract

BACKGROUND

Studies on the effect of comorbidities on breast cancer operation have been limited and inconsistent. This study investigated whether pre-existing comorbidities influenced breast cancer surgical operation in an equal access healthcare system.

METHODS

This study was based on linked Department of Defense cancer registry and medical claims data. The study subjects were patients diagnosed with stage I–III breast cancer during 2001 to 2007. Logistic regression was used to determine if comorbidity was associated with operation type and time between diagnosis and operation.

RESULTS

Breast cancer patients with comorbidities were more likely to receive mastectomy (OR=1.27, 95% CI, 1.14–1.42) than breast conserving surgery plus radiation. Patients with comorbidities were also more likely to delay having operation than those without comorbidities (OR=1.27, 95% CI, 1.14–1.41).

CONCLUSIONS

In an equal access healthcare system, comorbidity was associated with having a mastectomy and with a delay in undergoing operation.

Keywords: Breast cancer, breast conserving surgery, comorbidity, Department of Defense health system, mastectomy, military

Introduction

Breast cancer is the most common occurring cancer and the second leading cause of cancer mortality among U.S. women.1 In 2012, it was estimated that there will be 226,870 new breast cancer diagnoses and 39,510 deaths due to breast cancer.1 Effective treatment reduces the mortality of the disease.2 The local treatment for non-metastatic breast cancer is either a mastectomy or breast conserving surgery (BCS) followed by radiation.3 Various factors can influence whether women receive BCS or mastectomy.4, 5 Comorbidity, the coexistence of chronic diseases or acute illnesses in addition to the index disease, may influence the selection and timing of treatment.

Studies of the effect of comorbidities on treatment decisions have been limited and inconsistent. Several studies have shown that comorbidities present at the time of cancer diagnosis influence treatment choice.610 For example, Mandelblatt et. al found that women with high levels of comorbidity were more likely to receive a mastectomy (odds ratio (OR) = 3.33, 95% confidence interval (CI), 1.23–9.00) or BCS alone (OR=16.6, 95% CI, 4.87–56.5) than BCS and radiation, compared to women with low levels of comorbidity.9 Thompson et. al also reported that the likelihood of having a mastectomy was higher among women who had anemia or heart failure.10 On the other hand, an association between comorbidities and cancer therapy was not identified in other studies.11, 12 Furthermore, few studies have assessed whether comorbidities are associated with delayed breast cancer operation,13, 14 although the presence of comorbidities was shown to increase the waiting time for breast cancer operation.13

Many previous studies were based on cancer patients with medical insurance.13, 15, 16 People with certain pre-existing conditions and with low socioeconomic status, however, may not be able to obtain insurance and thus were not included in these studies. Due to the selectiveness, the study participants might differ from those excluded based on pre-existing conditions and low socioeconomic status. Therefore, study results on comorbidities might have been affected.

The Department of Defense (DoD) military health system provides universal medical care to its beneficiaries, including active-duty members, retirees and their family members. Because there are no financial incentives to physicians and cost prohibitions for patients within the system, a study based on this system provides a unique opportunity to identify factors that may influence treatment decisions while minimizing the effects of socioeconomic factors. The objective of this study was to investigate whether pre-existing comorbidities were associated with the selection of initial breast cancer surgical operation, using linked DoD cancer registry and medical claims data. In addition, the study assessed whether comorbidities were associated with delayed surgical operation.

Methods

Data Sources and Study Subjects

This study was based on linked data from the DoD Central Cancer Registry (CCR) and the Military Health System Data Repository (MDR). The CCR was initiated in 1998 and contains tumor-specific (e.g., site, histology, stage, and treatment) and person-specific (e.g., gender, race and age at diagnosis) information on persons diagnosed or treated at military treatment facilities (MTFs). The MDR includes administrative and medical claims information for all DoD beneficiaries, including information on clinical diagnoses, diagnostic procedures, treatments including operation type, medical conditions including comorbidities, prescription medications, and related costs. The data linkage was approved by the National Naval Medical Center Institutional Review Board (IRB), the Armed Forces Institute of Pathology IRB, the National Cancer Institute IRB, and TRICARE Management Activity (TMA), which manages the DoD’s health care program.

The subjects eligible for this study were 5,548 female breast cancer patients with histologically confirmed, first primary malignant breast tumors diagnosed from 2001 to 2007. Only patients with stages I–III, defined by the American Joint Committee on Cancer (AJCC) staging system, 17 were included because surgical operation often applies to them as a therapeutic procedure. There was only one woman diagnosed during the study period who had missing operation information and was, therefore, excluded from the study.

Measures

Extensive procedures were undertaken to evaluate and consolidate the data from CCR and MDR. Data on operation type, radiation therapy and chemotherapy were obtained from both CCR and MDR. In CCR, Registry Operations and Data Standards (ROADS) or Facility Oncology Registry Data Standards (FORDS) codes were used to identify the type of operation performed.18 In MDR, both the International Classification of Diseases – Ninth Revision (ICD-9) codes and the Current Procedural Terminology (CPT) codes were used to identify whether patients had BCS or mastectomies (including subcutaneous mastectomies, simple mastectomies, radical mastectomies, and modified radical mastectomies). Radiation therapy and chemotherapy were categorized as yes/no according to the documentation in both CCR and MDR. Hormonal therapy information was obtained only from CCR because MDR prescription data were not available for the entire study period. Demographic (age at diagnosis, race, marital status, duty status) and tumor (stage, grade, size and estrogen receptor (ER) status) variables were obtained from CCR.

Data on the existence of comorbidities were extracted from the MDR using ICD-9 codes. To assess the level of comorbidities, we computed the modified Charlson comorbidity index,19 which consists of 17 comorbid conditions including cancer; breast cancer was excluded from the calculation. Comorbidities were considered to be present if a diagnosis was recorded during the one year prior to surgical operation either one time in inpatient data or three times in outpatient data. The comorbid conditions present were classified as Charlson index=0 or Charlson index≥1. The two most common comorbidities were chronic obstructive pulmonary disease (COPD) and diabetes (data not shown). There was a relatively small proportion of women with a Charlson index equal to or greater than one (n=473); therefore further classification of comorbidity level was not explored.

Statistical Analysis

The distributions of basic characteristics for those with and without comorbidities were compared using Chi-square tests. ORs and 95% CIs were calculated using multinomial logistic regression to compare the probability of receiving different surgical operations while adjusting for age, race, marital status, military duty status, year of diagnosis, tumor stage, tumor grade, tumor size, estrogen receptor (ER) status, chemotherapy and hormonal therapy. Treatment selection may vary by tumor and demographic features; therefore, models were then stratified by age, race, marital status, duty status, tumor stage, tumor grade, tumor size, and ER status. The impact of comorbidities on the interval between cancer diagnosis and surgical operation was also examined. Time interval was dichotomized as 2 months or less versus more than 2 months following breast cancer diagnosis. Analyses were conducted using SAS software (version 9.1).

Results

The distributions of selected demographic, diagnostic and treatment factors by comorbidity status are shown in Table 1. Compared to women without comorbidities, women with at least one comorbidity were more likely to be older, not married, non-active duty military, have later stage tumors, and less likely to have received chemotherapy. The distribution of race between the two groups was not significantly different. There were also no significant differences in year of diagnosis, tumor grade, tumor size, ER status, and receipt of hormonal therapy between those with and without comorbidities (data not shown).

Table 1.

Distributions of demographic, diagnostic and treatment factors by comorbidity status among female Department of Defense beneficiaries diagnosed with breast cancer between 2001–2007 (N=5,548).

Comorbidity
Charlson index=0 Charlson index≥1


N % N % p-value*
Age at Diagnosis <50 1,914 38% 78 16%
≥50 3,161 62% 395 84% <0.01
Race White 3,596 71% 339 72%
Black 799 16% 68 14%
Other1 531 10% 59 12%
Unknown 149 3% 7 1% 0.14
Marital Status Single/Separated/Divorced/Widowed 867 17% 123 26%
Married 4,078 80% 344 73%
Unknown 130 3% 6 1% <0.01
Duty Status at Diagnosis Active Duty 289 6% 16 3%
Non-Active Duty 4,786 94% 457 97% 0.03
Tumor Stage Stage I 2,570 51% 214 45%
Stage II 1,938 38% 189 40%
Stage III 567 11% 70 15% 0.02
Chemotherapy Yes 2,882 57% 218 46%
No 2,193 43% 255 54% <0.01
*

Chi-square test

1

American Indian, Aleutian, Eskimo, Asian or Pacific Islander

A comparison of treatment by comorbidity is shown in Table 2. In comparison to patients without comorbidities, patients with comorbidities were more likely to have received a mastectomy (OR=1.27, 95% CI, 1.14–1.42) or mastectomy plus radiation (OR=1.16, 95% CI, 1.00–1.35) than BCS plus radiation. However, patients with comorbid conditions were as likely to have BCS alone as BCS plus radiation (OR=0.96, 95% CI, 0.74–1.23) compared to those without comorbidities. Receipt of radiation did not seem to affect the association between comorbidity and type of operation; therefore, only operation type was considered in further stratified analyses.

Table 2.

Multinomial logistic regression analyses assessing the likelihood of operation type among female Department of Defense beneficiaries with breast cancer, 2001–2007 (n=5,548).

Surgical Operation Comorbidity
Charlson index=0
Charlson index≥1
OR (95% CI) 2
N % N %
BCS1+Radiation 2,369 47% 169 36% Reference
BCS only 254 5% 20 4% 0.96 (0.74–1.23)
Mastectomy +Radiation 1,003 20% 101 21% 1.16 (1.00–1.35) *
Mastectomy only 1,449 29% 183 39% 1.27 (1.14–1.42) *
1

Breast conserving surgery

2

All models were adjusted for age at diagnosis, race, marital status, duty status at diagnosis, year of diagnosis, tumor stage, tumor grade, tumor size, estrogen receptor status, chemotherapy, and hormonal therapy.

*

p<0.05

Stratified analyses indicated that the association between comorbidity and operation type varied by tumor stage and size (Table 3); significant associations were observed among women with stage II tumors and tumors larger than 2cm, but not among women with stage I tumors or tumors 2cm or smaller. The association was close to the statistical significance level for women with stage III tumors. Women with comorbidities were more likely to receive mastectomy than BCS regardless of their marital and ER statuses (data not shown). Additionally, although the statistical significance of an association between comorbidity and operation type seemed to vary when stratified by age at diagnosis, race, duty status, and tumor grade, the strata-specific confidence intervals overlapped, making it less clear whether the association truly differed across these covariate categories (data not shown).

Table 3.

Stratified multinomial logistic regression analyses assessing the likelihood of operation type among female Department of Defense beneficiaries with breast cancer, 2001–2007 (N=5,548).

Stratum Surgical Operation Comorbidity
Charlson index=0
Charlson index≥1
OR (95% CI) 2
N % N %
Tumor Stage Stage I BCS1 1,612 63% 122 57% Reference
Mastectomy 958 37% 92 43% 0.90 (0.72–1.14)
Stage II BCS 894 46% 59 31% Reference
Mastectomy 1,044 54% 130 69% 1.39 (1.15–1.69) *
Stage III BCS 117 21% 8 11% Reference
Mastectomy 450 79% 62 89% 1.45 (0.98–2.16)
Tumor Size, cm ≤2 BCS 2,336 55% 175 46% Reference
Mastectomy 1,897 45% 208 54% 1.10 (0.95–1.27)
>2 BCS 251 35% 9 12% Reference
Mastectomy 476 65% 66 88% 1.96 (1.32–2.91) *
1

Breast conserving surgery

2

Unless stratified by the variable, all models were adjusted for radiation, age at diagnosis, race, marital status, duty status at diagnosis, year of diagnosis, tumor stage, tumor grade, tumor size, estrogen receptor status, chemotherapy, and hormonal therapy.

3

Unknown categories are not included in this table; therefore, values for race, marital status, tumor stage, tumor grade, tumor size, and ER status do not add up to the total number of patients.

*

p<0.05

Table 4 shows the relationship between comorbidity and the time interval from cancer diagnosis to surgical operation. The majority of the operations were performed within two months of cancer diagnosis (81% for those without comorbidities and 70% for those with comorbidities). However, patients with comorbidities were more likely to have delayed surgical operation (OR=1.27, 95% CI, 1.14–1.41) than patients without comorbidities. When stratified by operation type, the results indicated that comorbidity was significantly associated with delayed operation for both BCS (OR=1.26, 95% CI, 1.07–1.50) and mastectomy (OR=1.26, 95% CI, 1.11–1.47).

Table 4.

Multinomial logistic regression analyses assessing the effects of comorbidity on the interval between breast cancer diagnosis and surgical operation among female Department of Defense beneficiaries, 2001–2007.

Surgical operation Time interval Comorbidity
OR (95% CI) 3
Charlson index=0
Charlson index≥1
N % N %
Any
Within 2 months 1 4,098 81% 332 70% Reference
More than 2 months 976 19% 141 30% 1.27 (1.14–1.41) *
BCS2
Within 2 months 1 2,164 83% 138 73% Reference
More than 2 months 458 18% 51 27% 1.26 (1.07–1.50) *
Mastectomy
Within 2 months 1 1,934 79% 194 68% Reference
More than 2 months 518 21% 90 32% 1.26 (1.11–1.47) *
1

Initial breast surgery performed within 1–2 month of the breast cancer diagnosis

2

Breast conserving surgery

3

Adjusted for radiation, age at diagnosis, race, marital status, duty status at diagnosis, year of diagnosis, tumor stage, tumor grade, tumor size, estrogen receptor status, chemotherapy, and hormonal therapy.

4

One patient with missing time interval information was not included in this analysis.

*

p<0.05

Discussion

Comorbidity may complicate the selection of surgical operation for breast cancer because these conditions likely affect treatment tolerance and patient survival. The results of the current study indicate that breast cancer patients with comorbidities were less likely to receive BCS plus radiation and more likely to receive mastectomy. Stratified analyses indicated that this association existed regardless of marital and ER statuses, but might vary by tumor stage and size. Comorbidity was also significantly associated with delayed operation for both BCS and mastectomy.

The primary treatment of non-metastatic breast cancer has changed dramatically during the last two decades. The National Institutes of Health (NIH) Consensus Development Conference established BCS with radiation as an appropriate primary therapy for women with non-metastatic breast cancer in 1990.20 Randomized trials have also shown that BCS with radiation was as effective as mastectomy in treating breast cancer,2124 while body image of patients treated with BCS seems to be better.25 Thus, BCS has replaced mastectomy as the most common procedure for the treatment of breast cancer without metastasis.2628 However, the optimal treatment for patients with comorbidity is still uncertain because patients with pre-existing serious diseases were generally not eligible for those trials.29

Although our study suggests that women with comorbidities are more likely to undergo mastectomy than BCS, the underlying reasons for this choice is not clear. Indeed, our findings are somewhat paradoxical, because mastectomy is a more time-consuming operation with higher complication rates and morbidity than BCS,30 and one might expect that women with comorbidities would choose the least invasive procedure (BCS). It is likely that patients with comorbidities and their doctors may choose mastectomy over BCS to avoid the possibility of a second operation (usually mastectomy) if cancer recurs.31 Patients with comorbidities and their physicians may also choose mastectomy to avoid the need for radiotherapy because it has been associated with life-threatening conditions, including vascular disease (although radiotherapy may now also be recommended after mastectomy for patients with node-positive or large tumors).3235 On the other hand, in comparison to women with comorbidities, women without comorbidities may be more likely to receive neoadjuvant chemotherapy before local treatment to reduce the size of the tumor, which in turn may make them more likely to undergo the less invasive BCS.36 However, the low frequencies of chemotherapy prior to surgical operation in our data suggest that this might not be a main reason for the identified association (data not shown). Research has also shown that the receipt of mastectomy is associated with greater patient involvement in the treatment decision making process.37 However, whether patients with comorbidities are more likely to be involved in making their treatment decisions is unknown.

Our stratified analysis showed an association between comorbidities and operation type among patients with stage II or large (>2cm) tumors, but not those with stage I or small (< 2cm) tumors. It is not clear why the association between operation type and comorbidity would vary by tumor stage or size. As stated above, patients with comorbidities and their doctors may choose mastectomy over BCS to avoid the possibility of a second operation or radiation therapy. This possibility may be more sensible for patients with larger, advanced stage tumors that are more likely to recur38 and to receive the more aggressive mastectomy.

In agreement with our studies, Simunovic et. al reported that comorbidities were associated with longer delays for breast cancer surgical operation in Ontario, Canada.13 The treatment decisions for patients with comorbidities are likely more complicated than those without and physicians may need more time to evaluate patients’ health status and make decisions, which may result in longer waiting time before surgical operations for patients with comorbidities.

There are several potential limitations to this study. First, information from administrative claims data may be incomplete or inaccurate. For example, the comorbid conditions from the outpatient data might not be accurate. However, we tried to minimize the inaccuracies by requiring three outpatient occurrences of a diagnostic code instead of one. Given that the stricter criterion was applied, we cannot exclude the possibility that comorbidity was underestimated. However, this might only dilute the true differences between those with and without comorbidity in receiving different surgical operations. Second, some patients, especially military dependents and retirees, might have other medical insurance; therefore, some information about their treatment and medical conditions might not have been included. Third, according to the IRB-approved procedures, the data contained only month and year of cancer diagnosis or operation and not the exact date. Therefore, some patients with an operation performed more than two months after diagnosis might have had it within one to two months following the diagnosis. However, this misclassification would tend to underestimate rather than overestimate the true association of the time interval between diagnosis and mastectomy. Finally, as there were relatively small numbers of patients with comorbidities, we were not able to evaluate the impact of the severity of the pre-existing comorbidity or specific comorbid conditions on the treatment choice of breast cancer patients.

Although BCS is generally regarded as the preferred surgical operation for primary breast cancer, it may not be as accepted for patients with certain comorbidities. The results of our study highlight the need to establish treatment standards for patients with pre-existing conditions. It is not known whether patients’ perceptions of their physicians’ treatment preferences and patient-provider communication contribute to the choice of treatment.39, 40 Treatment standards for patients with comorbidities should guide physicians’ recommendations and discussions with patients. Patients with comorbidities should be fully informed about the possible treatment choices thus allowing them to make informed decisions.41 Also, comorbidities appear to be associated with surgical operation delay and this needs to be further studied, for it could adversely affect long-term outcomes.

Summary.

Comorbidities may be related to a higher likelihood of receiving mastectomy and a delay in undergoing breast cancer operation in the Department of Defense (DoD) healthcare system, which provides all beneficiaries with equal access to medical care.

Acknowledgments

This project was supported by the United States Military Cancer Institute (USMCI) via the Uniformed Services University of the Health Sciences under the auspices of the Henry M. Jackson Foundation for the Advancement of Military Medicine, by the Clinical Breast Care Project, Walter Reed Army Medical Center, and by the intramural research program of the National Cancer Institute. The original data linkage was supported by the USMCI and Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute. The authors thank the following individuals and institutes for their contributions to or support for the original data linkage project: Mr. Guy J. Garnett, Mr. David E. Radune, and Dr. Aliza Fink of ICF Macro; Ms. Wendy Funk, Ms. Julie Anne Mutersbaugh, Ms. Linda Cottrell, and Ms. Laura Hopkins of Kennel and Associates, Inc.; Ms. Kim Frazier, Dr. Elder Granger, and Dr. Thomas V. Williams of TMA; Ms. Annette Anderson, Dr. Patrice Robinson, and Dr. Chris Owner of the Armed Forces Institute of Pathology; Dr. Joseph F. Fraumeni, Jr., Dr. Robert N. Hoover, Ms. Gloria Gridley, and Dr. Joan Warren of NCI; Mr. Raul Parra, Ms. Anna Smith, Ms. Fiona Renalds, Mr. William Mahr, Mrs. Hongyu Wu, Dr. Larry Maxwell, Mr. Miguel Buddle, and Ms. Virginia Van Horn of United States Military Cancer Institute.

Footnotes

Disclaimers:

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

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