Life Expectancy in Patients Surviving More Than 5 Years After Hematopoietic Cell Transplantation (2024)

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Life Expectancy in Patients Surviving More Than 5 Years After Hematopoietic Cell Transplantation (1)

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J Clin Oncol. 2010 Feb 20; 28(6): 1011–1016.

Published online 2010 Jan 11. doi:10.1200/JCO.2009.25.6693

PMCID: PMC2834427

PMID: 20065176

Paul J. Martin, George W. Counts, Jr, Frederick R. Appelbaum, Stephanie J. Lee, Jean E. Sanders, H. Joachim Deeg, Mary E.D. Flowers, Karen L. Syrjala, John A. Hansen, Rainer F. Storb, and Barry E. Storer

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Abstract

Purpose

Hematopoietic cell transplantation can cure hematologic malignancies and other diseases, but this treatment can also cause late complications. Previous studies have evaluated the cumulative effects of late complications on survival, but longer-term effects on life expectancy after hematopoietic cell transplantation have not been assessed.

Patients and Methods

We used standard methods to evaluate mortality, projected life expectancy, and causes of death in a cohort of 2,574 patients who survived without recurrence of the original disease for at least 5 years after allogeneic or autologous hematopoietic cell transplantation from 1970 through 2002. Sex- and age-specific comparisons were made with US population data.

Results

Estimated survival of the cohort at 20 years after transplantation was 80.4% (95% CI, 78.1% to 82.6%). During 22,923 person-years of follow-up, 357 deaths occurred. Mortality rates remained four- to nine-fold higher than the expected population rate for at least 30 years after transplantation, yielding an estimated 30% lower life expectancy compared with that in the general population, regardless of current age. In rank order, the leading causes of excess deaths were second malignancies and recurrent disease, followed by infections, chronic graft-versus-host disease, respiratory diseases, and cardiovascular diseases.

Conclusion

Patients who have survived for at least 5 years after hematopoietic cell transplantation without recurrence of the original disease have a high probability of surviving for an additional 15 years, but life expectancy is not fully restored. Further effort is needed to reduce the burden of disease and treatment-related complications in this population.

INTRODUCTION

Hematopoietic cell transplantation (HCT) has been used for more than 40 years to treat hematologic malignancies and nonmalignant diseases that could not be cured by other therapies.1 Since the first three cases of successful allogeneic HCT in 1968, more than 800,000 patients have had allogeneic or autologous transplantation.2 These treatments are now used worldwide for more than 60,000 patients each year.

Since the early 1970s, mortality during the first 100 days after HCT has decreased because of changes in selection criteria, refinement of pretransplantation conditioning regimens, and improvements in prevention and management of graft-versus-host disease (GVHD) and infection. One-year survival rates now exceed 60% for patients with human leukocyte antigen–identical sibling donors.2 With decreased early mortality and more widespread use of HCT, the number of 5-year survivors now exceeds 150,000 and will continue to grow.

Mortality rates among patients who have had HCT remain higher than those for the general population for at least 10 years after the procedure.37 The leading causes of late deaths include recurrent or second malignancy, chronic GVHD, infection, and other complications that result from the pretransplantation disease, its treatment before the transplantation, or the transplantation itself. In this study, we evaluated the cumulative effects of late complications on life expectancy after HCT.

PATIENTS AND METHODS

Study Population

The initial patient population comprised all 7,984 patients who had HCT after high-dose conditioning regimens at our center through the year 2002, with no restrictions on diagnosis or donor type. Outcomes were based on information available as of February 2008. Within 5 years after the transplantation, 4,851 patients died, 381 had recurrent malignancy, 81 received a second transplantation, and 96 had no follow-up beyond 5 years. The study cohort of 5-year survivors comprised the remaining 2,574 patients, 32% of the original cohort.

A sustained and systematic program of long-term follow-up at our center includes annual attempts to contact all surviving patients and periodic searches of public sources for patients without recent contact. At the time of analysis, 357 deaths (14%) had been documented in the study cohort. The median time since last contact in the surviving 2,217 patients was 7.8 months, and 2,097 survivors (94.6%) had been contacted within the past 5 years. The institutional review board of the Fred Hutchinson Cancer Research Center approved the procurement and use of information regarding causes of death for this study.

Calculation of Mortality Rates and Life Expectancy

Details of the calculations are provided in the Appendix (online only). The mortality rate for an interval of time defined either by time since transplantation or by age was estimated as the number of deaths in the interval divided by the number of person-years of observation time in the interval among patients alive at the start of the interval. Smoothed estimates of the mortality rates and associated CIs were obtained by fitting a Poisson regression model to the observed counts, using cubic spline terms for time.

Although the first patient entered the study cohort in 1975, the midpoint of the 22,923 person-years of follow-up in the cohort occurred late in the year 2000 (Appendix Fig A1, online only). Expected population mortality rates and life expectancy were based on sex-specific 2001 US life table data from the National Center for Health Statistics. Calculation of life expectancy required estimates of mortality rates beyond the age range of transplantation survivors. We used the spline-smoothed Poisson model and extrapolated estimated mortality rates to age 100, at which point the subsequent survival probability is too small to have a significant effect on life expectancy.

Cause of Death

The National Death Index (NDI) returned cause of death information for 285 patients identified through matching criteria. International Classification of Diseases 9 (ICD-9) codes were mapped to equivalent ICD-10 codes. Sex- and age-specific mortality rates using ICD-10 coding were obtained from the National Center for Health Statistics for 1999 to 2003, spanning the midpoint of cumulative follow-up. Expected numbers of deaths in broad ICD categories were calculated by applying the population rates to the person-years of follow-up in the corresponding sex- and age-specific intervals in the study cohort.

Standardized mortality ratios were calculated as the ratio of observed deaths to expected deaths, each summed across sex and age. Deaths attributable to recurrent disease were removed from the calculation, and the counts of observed deaths were adjusted upward in proportion to the number of patients whose cause of death was unknown. A separate analysis incorporated all information in the available records to refine the cause of death, including chronic GVHD, which is not recognized as a cause of death in the population data. In this analysis, causes of death matching the pretransplantation diagnosis were attributed to recurrent disease. Deaths due to malignant diseases differing from the pretransplantation diagnosis were categorized as second malignancies.

Risk Factor Analysis

Cox regression analysis with age as the time axis was used to analyze factors that might affect mortality rates and to evaluate their effect on life expectancy. Staggered entry by age was accommodated via left truncation, with the usual right censoring.

RESULTS

Study Population

Characteristics of the transplantation cohort of 7,984 patients, the study cohort of 2,574 5-year survivors, and the 357 deceased patients are described in Table 1. The median follow-up after transplantation in surviving members of the study cohort was 13.1 years (range, 5.0 to 36.1 years), and their median attained age at analysis was 46 years (range, 6 to 80 years). Overall, the estimated survival of the study cohort was 80.4% (95% CI, 78.1% to 82.6%) at 20 years after transplantation. Survival beyond 5 years correlated inversely with age at transplantation (Fig 1).

Table 1.

Patient Characteristics

CharacteristicOverall Cohort (N = 7,984)5-Year Survivors* (n = 2,574)Deaths (n = 357)
No.%No.%No.%
Transplant type
    Related allogeneic4,736591,6236324168
    Unrelated allogeneic1,57620537214513
    Autologous or syngeneic1,67221414167120
Year of transplantation
    1994-20023,097391,109438624
    1984-19933,497441,0744215343
    1969-19831,390173911511833
Sex
    Male4,479561,3955420357
    Female3,505441,1794615443
Age at transplantation, years
    Median333232
    Range0-730-732-64
    < 181,77322607247320
    18-454,437561,4815820257
    > 451,77422486198223
Diagnosis
    Acute lymphoblastic leukemia1,26016279114613
    Acute myeloid leukemia1,93524552219727
    Chronic myeloid leukemia1,86323799318724
    Lymphoma9071124493410
    Myelodysplastic syndrome56472148195
    Other hematologic malignancy3464673216
    Breast cancer2804683123
    Other malignancy23034011< 1
    Aplastic anemia43962339329
    Other nonmalignant disease160278382
Total body irradiation
    No2,552329743811332
    Yes5,432681,6006224468
Chronic graft-versus-host disease
    No4,033519473710830
    Yes2,279291,2134717850
    Not applicable1,67221414167120

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*Without recurrence of the original disease.

Among 5-year survivors.

Before 5 years among patients who had allogeneic donors.

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Fig 1.

Survival and mortality rates for patients younger than age 18 years (solid line), 18 to 45 years (short-dashed line), and older than age 45 years (long-dashed line) at the time of transplantation.

Mortality Rates and Life Expectancy

Annual mortality rates for the study cohort exceeded the expected rates throughout the entire length of follow-up after transplantation and showed a trend toward greater divergence from expected rates among the longest surviving fraction of the cohort (Fig 2). For comparison to other studies, Appendix Figure A2 (online only) shows the ratios of observed to expected mortality rates for the entire transplantation cohort. As expected, mortality rates in the study cohort increased with age (Appendix Fig A3 [A], online only). The number of deaths per 1,000 person-years inflected upward at approximately 50 years of age, which was 10 to 15 years earlier than expected (Appendix Fig A3 [B]). The ratios of observed to expected mortality rates were highest in younger age groups, reflecting the low expected mortality rates in these age groups (Appendix Fig A3 [C]). Although the mortality ratios declined in older patients (Appendix Fig A3 [C]), the number of excess deaths per 1,000 person-years increased among patients age 50 years or older (Appendix Fig A3 [D]). Overall patterns were similar for patients younger than 18 years of age at transplantation (Appendix Fig A4, online only).

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Fig 2.

Mortality rates after transplantation. Empirical mortality rates during each year (solid circles) are shown with fitted rates from the spline-smoothed Poisson regression model (solid line) and associated point-wise 95% CIs (short-dashed line), and the expected mortality rates for each interval based on sex- and age-specific data for the US population in 2001 (long-dashed line).

The higher mortality rates in the study cohort translate to shorter projected life expectancies compared with the general population. The absolute decrease in estimated residual life expectancy ranges from 17.0 years for survivors at 20 years of age to 6.4 years for survivors at 60 years of age (Fig 3A). The proportionate reduction in life expectancy is approximately 30% at any attained age (Fig 3B). Autologous transplantation, prior chronic GVHD, and transplantation before 1984 were associated with higher mortality rates and greater effect on life expectancy. Transplantation for chronic myeloid leukemia in chronic phase or nonmalignant diseases was associated with lower mortality rates and lesser effect on life expectancy (Table 2).

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Fig 3.

Projected reduction in life expectancy in the study cohort relative to US population data as a function of attained age. (A) Absolute reduction in years; (B) percentage reduction.

Table 2.

Multivariate Analysis of Risk Factors for Mortality

Variable*Hazard Ratio95% CIPReduction in Life Expectancy (%)
Transplant type
    Related allogeneic1.024
    Unrelated allogeneic1.10.8 to 1.6.5427
    Autologous/syngeneic2.01.4 to 2.8< .000144
Year of transplantation
    1994-20021.028
    1984-19930.80.6 to 1.1.2523
    1969-19831.51.1 to 2.3.0241
Diagnosis
    Other malignancies1.032
    Chronic myeloid leukemia in chronic phase0.60.5 to 0.9.00420
    Nonmalignant diseases0.60.4 to 0.9.0218
Prior chronic graft-versus-host disease
    No1.021
    Yes1.61.2 to 2.0.000235
Age at transplantation, years§
    < 180.90.6 to 1.5.7328
    18-451.030
    > 450.80.5 to 1.3.4025
Sex
    Male1.031
    Female0.80.7 to 1.0.1226
Total body irradiation
    No1.030
    Yes0.90.7 to 1.3.7028

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*Variables were selected from results of previous studies.35,7

The time axis is defined by age, with staggered entry into the risk set at 5 years after transplantation. The table lists all variables analyzed.

Average of the estimated reduction in residual life expectancy calculated at 5-year age intervals from age 20 to 60 years.

§After accounting for current age.

Causes of Death

Although the study cohort was defined by the absence of documented recurrent malignancy within 5 years, recurrent malignancy contributed the largest fraction of deaths as classified by the NDI (Table 3). All deaths attributed to hematologic malignancy by the NDI occurred among patients originally diagnosed with a hematologic malignancy, but the NDI coding does not distinguish whether these represented new malignancies or recurrence. Among reviewed causes, 29 (45%) of the 65 ascertained deaths among survivors after autologous transplantation were attributed to recurrent disease compared with 40 (15%) of the 274 deaths among survivors after allogeneic transplantation (Appendix Table A1, online only).

Table 3.

Expected and Observed Deaths According to Cause

CauseExpectedNational Death IndexReviewed*Excess
ObservedSMRObservedSMRNo.%
Major ICD disease categories
    Cardiovascular22.0311.8391.919.17
    Congenital0.30000
    Digestive4.061.951.31.30
    Endocrine3.431.120.6
    External (eg, accident)13.3121.1141.11.51
    Genitourinary1.233.232.72.01
    Infection, hepatitis C0.41235.61742.417.56
    Infection, other3.0125.03512.333.912
    Mental1.20000
    Musculoskeletal0.50000
    Neoplasm, nonhematologic20.3724.4844.468.124
    Neoplasm, hematologic2.2§§94.37.33
    Neurologic1.821.442.42.41
    Pregnancy0.10000
    Respiratory4.7225.9255.621.68
    Skin0.10000
    Other1.742.910.6
Undefined ICD categories
    Recurrent disease1066972.726
    Chronic GVHD3233.712
    Unknown7218
All causes80.13574.53574.5

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Abbreviations: SMR, standardized mortality ratio; ICD, International Classification of Diseases; GVHD, graft-versus-host disease.

*Causes of death were ascertained by review of all available information.

The number of excess deaths was calculated by subtracting the observed (reviewed) and expected numbers in each category, after adjusting the numbers of observed deaths upward to account for unknown causes. Categories without excess deaths were excluded from both observed and expected deaths. The percentage was based on the adjusted total of 281 excess deaths in the categories considered.

Standardized mortality ratios were adjusted upward to account for unknown causes of death.

§All deaths attributed to hematologic malignancy (n = 91) occurred in patients diagnosed with hematologic malignancy. In this analysis, these deaths were classified as recurrent disease.

In nine patients, the hematologic neoplasm identified as the cause of death differed from the pretransplantation diagnosis. In 37 patients where the death certificate listed the pretransplantation disease as the cause of death, review of the medical records showed no evidence of recurrent disease after hematopoietic cell transplantation.

Causes of excess deaths in rank order included a wide variety of second malignancies and recurrent disease, followed by infections, chronic GVHD, respiratory diseases, and cardiovascular diseases, all broadly associated with transplantation (Table 3). Oropharyngeal cancers (n = 17), GI cancers (n = 16), and brain tumors (n = 12) accounted for more than half the 85 fatal nonhematologic second malignancies. The risk of recurrent malignancy was not uniform among different subgroups (Appendix Table A2, online only). Pulmonary fibrosis was implicated in 16 of the 25 reviewed causes of death attributed to respiratory disease. Deaths attributed to second malignancies and respiratory diseases occurred more frequently among survivors between 5 and 44 years of age than among older survivors, as measured by mortality ratios (Appendix Table A3, online only). As measured by the number of excess deaths per 1,000 person-years, the differences between the two age groups are less striking, suggesting that the decrease in mortality ratios reflects the age-associated increase in mortality attributed to cancer and pulmonary disease in the general population. All deaths related to hepatitis C infection occurred among patients who had transplantation before 1990, before hepatitis C screening of transplantation and transfusion donors became available. Deaths due to other infections were more prominent among survivors with prior chronic GVHD (reviewed causes: n = 28; standardized mortality ratio, 20.0) than among other survivors (reviewed causes: n = 7; standardized mortality ratio, 4.8).

DISCUSSION

Mortality rates improve dramatically during the first 5 years after HCT but remain four- to nine-fold higher than in the general population for at least 25 years thereafter. The ratio of mortality among transplantation survivors compared with the expected population rate decreases with increasing age, as mortality increases in the general population, but the number of excess deaths per 1,000 person-years increases sharply, especially after 50 years of age. The excess mortality rate translates to an estimated 30% lower life expectancy than that of the US population, regardless of current age. The major causes of excess deaths include recurrent disease, second malignancies, infections, chronic GVHD, respiratory diseases, and cardiovascular diseases.

Pond et al6 observed that the 95% CI for the ratio of observed and expected deaths overlapped 1.0 beginning after the tenth year from HCT, which was interpreted as suggesting no difference in survival compared with that of the general population. Our overall mortality rates fall within the CIs of their results (Appendix Fig A2), but with a larger number of patients, longer follow-up, and the added precision of model-derived estimates, our data indicate that mortality rates do not reach expected levels at any time after transplantation, even among patients without recurrent disease during the first 5 years. Our results do not exclude the possibility that mortality rates in certain subgroups of patients could approach population rates at some point after HCT.4,5

Five other studies have evaluated late mortality after HCT,37 all showing that mortality rates were higher among transplantation survivors than mortality rates expected in the general population. Mortality ratios from these studies cannot be directly compared with our results, because our cohort was defined by survival without recurrence of the original disease for at least 5 years after the transplantation, whereas the cohorts for other studies were defined by survival for 2 years4,5,7 or included patients with recurrence of the original disease before entry into the cohort.3,5,6

Our results confirm that the leading causes of excess late deaths after HCT include second malignancies, recurrent malignancy, infections, chronic GVHD, and respiratory diseases.37 Other studies3,4,7 have also shown that late mortality rates for survivors who had more advanced malignancies or a prior history of chronic GVHD are higher than those for survivors without these risk factors. Conflicting results have been reported for the association of total-body irradiation with late mortality after HCT. Duell et al3 found that total-body irradiation was associated with an increased risk of late mortality among 5-year survivors who had allogeneic transplantation before 1986, whereas Bhatia et al5 found that total-body irradiation was associated with a decreased risk of mortality among 2-year survivors who had autologous transplantation between 1981 and 1998. In the study by Duell et al,3 67% of the patients who received total-body irradiation had a single exposure compared with 7% in our study, which might explain why total-body irradiation was not significantly associated with late mortality in our study.

Previous studies have shown that the risk of recurrent malignancy decreases with time after transplantation, while the risk of second malignancies increases with time after transplantation.8 In all three previous studies that assessed late mortality after transplantation in 2-year survivors and in one of the two studies that assessed late mortality in 5-year survivors, deaths related to recurrent malignancy were more prevalent than deaths related to second cancers.35,7 In the study by Pond et al,6 recurrent malignancy and second malignancies accounted for similar proportions of the deaths in patients surviving for more than 6 years. In this context, our results indicate that with further time from transplantation and with increasing patient age, second cancers will surpass recurrent malignancy as the predominant cause of excess deaths. As discussed by Rizzo et al,8 efforts are needed to develop pretransplantation conditioning regimens that minimize the risk of second cancers without jeopardizing control of the underlying disease. Physicians caring for survivors should encourage age-appropriate screening, especially for oropharyngeal and GI cancers, and patients should be advised to avoid carcinogenic exposures.

Our results raise the question of whether similar findings might apply to patients who have other types of treatment for malignant diseases. Previous studies have evaluated late mortality among 5-year survivors after childhood cancer916 but no comparable effort has been made for adult cancer survivors. Patients who had recurrent malignancy before the 5-year landmark were excluded from our study but not from most studies of childhood cancer survivors. For this reason, mortality rates among childhood cancer survivors cannot be directly compared with those in our results. As measured by both the mortality ratio and the absolute excess risk of mortality, death rates among childhood cancer survivors are highest from 5 to 10 years after the diagnosis and then decrease sharply.1013,15,16 The high mortality rate during this interval partly reflects deaths among patients who had recurrent malignancy before 5 years from diagnosis. Cardous-Ubbink et al12 showed that both the mortality ratio and the absolute excess risk of mortality decreased throughout follow-up after diagnosis to more than 30 years of attained age among 5-year survivors after childhood cancer. Among patients who had transplantation before 18 years of age, the mortality ratio showed less striking changes over time from transplantation, and the absolute excess risk of mortality showed little change before 40 years of attained age (Appendix Fig A4). Follow-up in the study by Cardous-Ubbink et al12 was not sufficient to determine whether the higher mortality ratios and absolute excess risk of mortality associated with attained age beyond 40 years in childhood transplantation recipients also occurs in childhood cancer survivors.

Strengths of our study include the long duration of follow-up, the inclusion of both adults and children, and the effort to validate information from death certificates. Other studies have noted the limitations of death certificates in ascertaining causes of death.17,18 Limitations of our study include the use of sex- and age-specific mortality rates for 2001 in estimating the ratio of observed and expected mortality, rather than using mortality rates for each year. Mortality rates in the US population have shown only small changes over time, especially for the early to midlife ages where the bulk of follow-up occurs in our study. Our transplantation cohort was heterogeneous with respect to the underlying disease and treatment, but the removal of deaths and recurrent malignancies during the first 5 years lessens the heterogeneity in our study cohort, and the effect of heterogeneity remaining after 5 years was modest in comparison to the overall reduction in life expectancy. Some diseases represented in the study cohort, such as breast cancer, are no longer treated with HCT, but these patient groups still contribute relevant information regarding late effects. Our estimates of life expectancy involve an uncertain extrapolation of mortality rates to age groups older than those observed in our cohort. Further studies will be needed to test the validity of this extrapolation and to strengthen the data for translation of mortality rates into estimates of life expectancy after HCT.

The lower life expectancy among 5-year transplantation survivors compared with that in the US population reflects not only effects of transplantation but also effects of the underlying disease and the treatment before the transplantation. In our study, 75% of the 5-year survivors who were between 36 and 50 years of age at the time of the transplantation were alive at 20 years after the transplantation. These results compare favorably with a study of late survival among patients who were potentially cured 3 years after conventional treatment for acute myeloid leukemia.19 In that cohort, with a median age of 40 years, the projected survival at 20 years after the original diagnosis was approximately 50%.

Individual risk factors for mortality in our study had only limited effects on the overall reduction in life expectancy after HCT. Replacement of single-exposure total-body irradiation by fractionated regimens in the early 1980s likely contributed to the improvement in late mortality and life expectancy in patients who had transplantation after 1983. The introduction of screening for hepatitis C in hematopoietic cell and transfusion donors during the early 1990s is likely to yield further improvement in the future. The estimated reductions in life expectancy among 5-year survivors after HCT for chronic myeloid leukemia in chronic phase and nonmalignant diseases highlight the contribution of late transplantation–related complications, apart from the effects of prior treatment and recurrent malignancy. Further effort is needed to minimize the burden of late treatment–related complications. Patients who are surviving for more than 5 years after HCT should be offered both precautions and hope during discussions of longer-term outcomes. Increased mortality rates emphasize the importance of ready access to high-quality health care and avoidance of exposures that might exacerbate the risks of second malignancies, infections, and respiratory diseases. Even though life expectancy does not return to normal, healthy survivors have a high probability of surviving for many additional years.

Acknowledgment

We thank members of the research and clinical staff for their dedication and for their many years of service contributing to the long-term care of our patients after hematopoietic cell transplantation; and K. Scott Baker, MD, for reviewing the manuscript.

Appendix

Methods

Hazard rate analysis.

Empirical estimates of the mortality rate for an interval of time i (defined either by time since the transplantation or by age) were estimated as λ̂i = di/yi, where di is the number of deaths in the interval and yi is the number of person-years of observation time in the interval among patients alive at the start of the interval, truncated at the time of death or last contact if either occurred during the interval. These estimates correspond to estimates of the hazard rate under an exponential (constant hazard) assumption, but this assumption is not critical for purposes of this study. The interval estimates were smoothed by fitting a Poisson regression model to the observed counts di, offset by the log of yi and including cubic spline terms for time. From the fitted models, we generated smoothed point estimates of the mortality rates, denoted λ̃i, and associated point-wise CIs.

Expected population rates.

For each time interval i of interest since transplant, the probability of surviving the interval pi was determined for each patient alive at the start of the interval based on US population rates for their sex and age at that time. These probabilities were converted to mortality rates λi = −log(pi) and then averaged across the patients at risk to yield a weighted mortality rate for the interval λi. The expected mortality rates at each age represent a simple weighted average of sex-specific rates at each age, weighted by the overall proportion of total person-years of follow-up in males and females (53.5% and 46.5%, respectively).

Life expectancy calculation.

We used the spline-smoothed Poisson model to extrapolate estimated mortality rates to age 99. For a patient just turning age x, the probability of dying while aged y > x is

Life Expectancy in Patients Surviving More Than 5 Years After Hematopoietic Cell Transplantation (5)

The residual life expectancy at age x is then calculated as

Life Expectancy in Patients Surviving More Than 5 Years After Hematopoietic Cell Transplantation (6)

that is, the weighted average of possible death ages out to age 99, with the age of death assigned to the midpoint of the rounded death age. The effects of risk factors on life expectancy were calculated by applying a constant hazard ratio multiplier to each of the λ̃i. To derive the hazard ratio multiplier, the hazard ratio relative to the baseline category in Table 2 was re-expressed as a hazard ratio relative to a composite weighted hazard ratio, with weights reflecting the percentage of patients in each category of the risk factor.

The accuracy of our life expectancy calculation depends partly on the validity of the extrapolation of death rates in transplant survivors older than 70 years of age. Adequate data are not available for this age group, and the data for younger age groups do not support the use of a constant mortality ratio or a constant excess death rate as the basis for a model. Estimated differences in life expectancy between transplantation survivors and the general population will be smaller if the true mortality rates among older transplantation survivors are lower than projected in Appendix Figure A3. Likewise, estimated differences will be larger if the true mortality rates among older transplant survivors are higher than projected in Appendix Figure A3.

Fig A1.

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Distribution of follow-up according to calendar year. In the article, mortality and life expectancy data for the US population in single-year age intervals are taken from 2001 (black). Cause-specific mortality data for the US population in 5- or 10-year age intervals are taken from 1999 to 2003 (dark blue).

Fig A2.

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Mortality ratios for the entire initial cohort of 7,984 patients as a function of time since transplantation. The standardized annual mortality ratios are plotted at the midpoint during each year after hematopoietic cell transplantation at the Fred Hutchinson Cancer Research Center (red circles), with the fitted rates from the spline-smoothed Poisson regression model (gold line) and the associated point-wise 95% confidence limits (blue line). Black points and bars indicate standardized mortality ratios and 95% confidence limits for the cohort reported by Pond et al.6 The horizontal black line indicates a standardized mortality ratio of 1.0, indicating no excess risk of death compared with sex- and age-specific data for the general population.

Fig A3.

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Mortality as a function of age in the study cohort. (A) and (B) Empirical annual mortality rates during each 5-year interval of age, plotted at the midpoint of each interval (black circles), fitted rates from the spline-smoothed Poisson regression model (solid lines) and associated point-wise 95% CIs (short-dashed lines), with projection of model estimates to 100 years of age (gray dashed lines), and the expected mortality rates for each interval based on an average of sex-specific US population rates at each age in 2001 (long-dashed lines), weighted by the overall proportion of follow-up person-years for males and females in the study cohort (53.5% and 46.5%, respectively). Results are shown on log (A) and arithmetic (B) scales. (C) Standardized mortality ratio (the ratio of observed to expected deaths) on a log scale, representing the difference between the two curves in the panel above. The horizontal black line indicates a standardized mortality ratio of 1.0, indicating no excess risk of death compared with the general population. In younger age groups, the standardized mortality ratio is influenced more by changes in expected mortality rates than by changes in the mortality rates of transplantation survivors. (D) Excess deaths per 1,000 person-years of follow-up (the difference between observed and expected deaths), representing the difference between the two curves in the panel above. The number of excess deaths per 1,000 person-years of follow-up is constant in younger age groups and increases in older age groups, because the death rate increases at an earlier age in transplantation survivors than in the US population. Patient groups younger than 10 years of age and older than 70 years of age contained too few events to provide meaningful estimates for comparisons with the US population.

Fig A4.

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Mortality ratios and excess deaths among 5-year survivors who had hematopoietic cell transplantation before 18 years of age. Mortality ratios (A and C) and excess deaths per 1,000 person-years (B and D) are shown as a function of time since transplantation (A and B) or attained age (C and D). Empirical annual mortality rates during each 1-year or 5-year interval are plotted at the midpoint of the interval (black circles), with fitted rates from the spline-smoothed Poisson regression model (solid lines) and the associated point-wise 95% CIs (dashed lines). The horizontal black lines indicate a standardized mortality ratio of 1.0, indicating no excess risk of mortality compared with sex- and age-specific data for the general population in 2001. Red circles indicate data from Cardous-Ubbink et al.11

Table A1.

Expected and Observed Deaths According to Cause for Person-Years at Risk After Autologous Transplantation (2,519 total person-years) or Allogeneic Transplantation (20,409 total person-years)

CauseExpectedNational Death IndexReviewed
ObservedSMR*ObservedSMR*
After autologous transplantation
    Major ICD disease categories
        Cardiovascular4.161.892.4
        Congenital0
        Digestive0.624.011.8
        Endocrine0.612.1
        External1.310.910.8
        Genitourinary0.2
        Infection, hepatitis C0.1238.8
        Infection, other0.426.425.6
        Mental0.2
        Musculoskeletal0.1
        Neoplasm, nonhematologic3.882.692.6
        Neoplasm, hematologic0.4513.6
        Neurologic0.326.8
        Pregnancy0
        Respiratory1.033.855.5
        Skin0
        Other0.2
    Undefined ICD categories
        Recurrent disease3429
        Chronic GVHD
        Unknown146
    All causes13.4715.3715.3
After allogeneic transplantation
    Major ICD disease categories
        Cardiovascular17.8251.8301.8
        Congenital0.3
        Digestive3.441.541.2
        Endocrine2.820.920.8
        External11.9111.2131.1
        Genitourinary0.934.033.3
        Infection, hepatitis C0.41241.11542.8
        Infection, other2.6104.83313.2
        Mental1.0
        Musculoskeletal0.4
        Neoplasm, nonhematologic16.5644.9754.7
        Neoplasm, hematologic1.842.3
        Neurologic1.421.721.5
        Pregnancy0
        Respiratory3.7196.4205.6
        Skin0.1
        Other1.543.310.7
    Undefined ICD categories
        Recurrent Disease7240
        Chronic GVHD32
        Unknown5812
    All causes66.62864.32864.3

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Abbreviations: SMR, standardized mortality ratio; ICD, International Classification of Diseases; GVHD, graft-versus-host disease.

*Standardized mortality ratios were adjusted upward to account for unknown causes of death.

All deaths attributed to hematologic malignancy occurred in patients diagnosed with hematologic malignancy and were classified as recurrent disease.

Table A2.

Characteristics of Patients Who Died, According to Cause

CharacteristicTotal (N = 357)Recurrence (n = 69)Other Causes (n = 288)
No.%No.%No.%
Transplant type
    Related allogeneic24168324620973
    Unrelated allogeneic45138123713
    Autologous or syngeneic712029424215
Year of transplantation
    1994-2002862429425720
    1984-199315343314512242
    1969-19831183391310938
Sex
    Male20357294217460
    Female15443405811440
Age at transplantation, years
    Median3243
    Range2-642-62
    < 187320696723
    18-4520257375416557
    > 45822326385619
Diagnosis
    Acute lymphoblastic leukemia4613234415
    Acute myeloid leukemia972716238128
    Chronic myeloid leukemia872416237125
    Lymphoma3410812269
    Myelodysplastic syndrome19523176
    Other hematologic malignancy2161116103
    Breast cancer123101421
    Other malignancy1< 1110< 1
    Aplastic anemia329003211
    Other nonmalignant disease823452
Total body irradiation
    No1133232468128
    Yes24468375420772
Chronic graft-versus-host disease
    No1083020298831
    Yes17850202915855
    Not applicable712029424215

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Table A3.

Expected and Observed Deaths According to Cause for Person-Years at Risk at Age 44 and Younger (14,821 total person-years) and at Age 45 Years and Older (8,107 total person-years)

CauseExpectedNational Death IndexReviewed
ObservedSMR*ObservedSMR*
Age 44 years and younger
    Major ICD disease categories
        Cardiovascular2.962.7113.9
        Congenital0.20000
        Digestive0.846.244.9
        Endocrine0.612.211.7
        External8.671.181.0
        Genitourinary0.2215.015.9
        Infection, hepatitis C0.1348.8677.1
        Infection, other1.365.91713.3
        Mental0.40000
        Musculoskeletal0.10000
        Neoplasm, nonhematologic2.23722.04521.1
        Neoplasm, hematologic0.449.7
        Neurologic0.40012.4
        Pregnancy< 0.10000
        Respiratory0.51229.91427.6
        Skin< 0.10000
        Other0.835.111.3
    Undefined ICD categories
        Recurrent disease4322
        Chronic GVHD22
        Unknown385
    All causes19.71628.21628.2
Age 45 years and older
    Major ICD disease categories
        Cardiovascular19.1251.6281.6
        Congenital0.20000
        Digestive3.220.810.3
        Endocrine2.820.910.4
        External4.751.361.4
        Genitourinary1.011.222.2
        Infection, hepatitis C0.3931.91134.5
        Infection, other1.764.31811.5
        Mental0.80000
        Musculoskeletal0.30000
        Neoplasm, nonhematologic18.1352.3392.3
        Neoplasm, hematologic1.853.0
        Neurologic1.321.832.4
        Pregnancy< 0.10000
        Respiratory4.2102.9112.8
        Skin0.10000
        Other1.011.300
    Undefined ICD categories
        Recurrent disease6347
        Chronic GVHD10
        Unknown3413
    All causes60.41953.21953.2

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Abbreviations: SMR, standardized mortality ratio; ICD, International Classification of Diseases; GVHD, graft-versus-host disease.

*Standardized mortality ratios were adjusted upward to account for unknown causes of death.

All deaths attributed to hematologic malignancy occurred in patients diagnosed with hematologic malignancy and were classified as recurrent disease.

Footnotes

Supported by Grants No. CA18029 and CA15704 from the National Cancer Institute and HL36444 from the National Heart, Lung, and Blood Institute.

Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.

AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

The author(s) indicated no potential conflicts of interest.

AUTHOR CONTRIBUTIONS

Conception and design: Paul J. Martin, Barry E. Storer

Financial support: Paul J. Martin

Administrative support: Paul J. Martin, George W. Counts Jr, Frederick R. Appelbaum, Rainer F. Storb

Provision of study materials or patients: Paul J. Martin, Jean E. Sanders, H. Joachim Deeg, Mary E.D. Flowers, Rainer F. Storb

Collection and assembly of data: Paul J. Martin, George W. Counts Jr, H. Joachim Deeg, Barry E. Storer

Data analysis and interpretation: Paul J. Martin, Frederick R. Appelbaum, Stephanie J. Lee, Jean E. Sanders, John A. Hansen, Barry E. Storer

Manuscript writing: Paul J. Martin, Frederick R. Appelbaum, Stephanie J. Lee, Jean E. Sanders, H. Joachim Deeg, Mary E.D. Flowers, Karen L. Syrjala, John A. Hansen, Barry E. Storer

Final approval of manuscript: Paul J. Martin, George W. Counts Jr, Frederick R. Appelbaum, Stephanie J. Lee, Jean E. Sanders, H. Joachim Deeg, Mary E.D. Flowers, Karen L. Syrjala, John A. Hansen, Rainer F. Storb, Barry E. Storer

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Life Expectancy in Patients Surviving More Than 5 Years After Hematopoietic Cell Transplantation (2024)
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