Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2022 Feb 14.
Published in final edited form as: Biol Blood Marrow Transplant. 2019 Oct 9;26(2):407–412. doi: 10.1016/j.bbmt.2019.10.002

Survivorship after Autologous Hematopoietic Cell Transplantation for Lymphoma and Multiple Myeloma: Late Effects and Quality of Life

George E Georges 1,3, Merav Bar 1,3, Lynn Onstad 1, Jean C Yi 2, Mazyar Shadman 1,3, Mary E Flowers 1,3, Paul A Carpenter 1,3, Susan Stewart 4, Stephanie J Lee 1,3, Leona A Holmberg 1,3
PMCID: PMC8843240  NIHMSID: NIHMS1764288  PMID: 31605822

Abstract

Although autologous hematopoietic cell transplantation (AHCT) is standard therapy for patients with lymphoma and multiple myeloma (MM), few studies have addressed late effects and quality of life (QOL) for long-term survivors after AHCT. Using long-term follow-up (LTFU) annual questionnaires with self-reported outcomes, we surveyed 665 patients who were ≥5 years after AHCT for the diagnosis of lymphoma or MM. Three-hundred and eighty-nine patients completed the questionnaire (58% response rate) a median of 11 (range 5-30) years after AHCT. The median age (years, range) among 268 lymphoma patients was 63 (22-88), and for 121 multiple myeloma patients was 69 (34-84). The most commonly reported medical conditions (>10% incidence) included: sexual dysfunction, history of shingles, cataracts, osteoporosis or osteopenia, joint replacement, and skin cancer. Current medication use was more frequent in MM patients for: infection prevention/treatment (19% multiple myeloma vs 5% lymphoma, p<.001), hypertension (41% vs. 26%, p=.004), osteoporosis (23% vs. 10%, p=<0.001), and pain (33% vs. 11%, p<.001). Treated hypothyroidism was more common in lymphoma patients. In multivariate analysis combining lymphoma and MM, worse physical functioning was associated with older age, shorter time since AHCT, comorbidities, relapse and treatment for depression and/or pain. Worse mental functioning was associated with younger age and treatment for anxiety, depression or pain. In conclusion, AHCT survivors report generally good QOL but many late effects and symptoms that are potentially amenable to intervention.

Keywords: autologous hematopoietic cell transplantation, lymphoma, multiple myeloma, late effects, quality of life

Introduction

Allogeneic hematopoietic cell transplantation (HCT) is well known to be associated with significant late effects after transplantation, but autologous transplant (AHCT) survivors also have a high burden of comorbidities based on studies with shorter follow-up or in younger patients.1-3 Autologous HCT is associated with higher mortality rates than the general population due primarily to relapsed malignancy.4-9 Recent trends in the annual number of AHCTs reported in North America and Europe indicate a slowly increasing number of patients with lymphoma and a much faster increase in the number of patients with MM undergoing AHCT.10 Data from the Center for International Blood and Marrow Transplant Research (CIBMTR) show an increase in survival after AHCT for MM,10 resulting in an increasing number of AHCT survivors. Although some data have been published about the late effects in lymphoma survivors after AHCT,2,5,6,8,11,12 data addressing long-term effects in MM AHCT patients is lacking in the era of novel agent therapy. Knowledge about important medical conditions and quality of life (QOL) deficits that affect long term survivors would help inform appropriate counseling and monitoring strategies.

To study the health of long-term survivors, we surveyed patients who were 5 years or more after AHCT for lymphoma and MM with long term follow up (LTFU) questionnaires. We studied these patient populations since both primarily received high dose chemotherapy-based preparative regimens and autologous cell infusions, but differ in their pre and post-transplant disease therapy and management. These groups also are the largest populations of survivors after AHCT. These data provide a comprehensive assessment of the key medical and QOL issues facing patients who are LTFU survivors after AHCT.

Materials and Methods

Patients.

Between July 2015 to September 2017, annual questionnaires were sent to 665 patients who were ≥5 years after AHCT for the diagnosis of lymphoma or MM who had received AHCT at a single center (Fred Hutchinson Cancer Research Center (FHCRC)/ Seattle Cancer Care Alliance) in Seattle, WA. Syngeneic transplant recipients and patients who subsequently underwent allogeneic transplant were excluded. Patients may have had two AHCT procedures as long as the most recent one was 5 or more years ago.

Surveys.

The questionnaires were approved by the FHCRC Institutional Review Board, and all participants provided written informed consent. The questionnaire consisted of the short form 36 (SF-36), focusing on physical and mental QOL13,14 and questions about the medical conditions ever experienced and current medications taken by respondents. Respondents indicated whether they had any medical conditions by checking Yes, No, or Don’t know/not applicable, for example, “pulmonary embolism or clots in legs or arms,” “osteoporosis or osteopenia (thin bones),” and “seizure.” Medication use was captured by endorsement of taking classes of drugs for specified indications, such as “high blood pressure,” “prescription medications for pain,” and “depression.” The QOL instrument, the SF-36, allows calculation of a physical component score (PCS) and a mental component score (MCS) that reflect physical and mental functioning. Scores are normalized so the general population median is 50 with a standard deviation of 10 points. The questionnaires did not ask if patients received maintenance chemotherapy post AHCT or whether they were still on maintenance therapy when answering the questionnaires. No pre-AHCT medical history or family history was available. Follow-up questionnaires with a reminder letter were sent to patient addresses after 4 weeks if no reply was received. The most recent survey was analyzed if respondents replied to more than one questionnaire. Respondents could participate in the survey by completion of printed documents sent via US postal service or by internet web-based interface. Since the majority of surveys were returned by mail over a period of time, we do not know who responded to the initial contact versus the reminder. Incomplete surveys were analyzed for the data provided, and there was no extrapolation for missing or incomplete data. Copies of the survey are available by contacting the corresponding author at LTFU@fredhutch.org.

Biostatistical analysis.

Participant characteristics, self-reported medical conditions, and self-reported medications were tabulated and compared between lymphoma and MM patients using Chi squared test for categorical variables, Wilcoxon rank sums test/Kruskal Wallis test for comparing medians of continuous variables, and ANOVA for comparing means of continuous variables. Multivariate linear regression was used to identify associations between the outcomes of SF-36 physical and SF-36 mental summary scores and factors of age, sex, years since transplant, comorbidities, relapse, and medications for anxiety, depression, sleep, and pain; factors found to be associated were examined for interactions using stepwise regression with model entry and exit criteria of p=0.05.

Results

There were 665 survivors transplanted for lymphoma and MM who survived 5 or more years after AHCT who were sent at least one survey during the study. Of these, 389 responded (58%) with a similar response rate between lymphoma and MM. (Table 1) There were 268 patients with lymphoma (68.9%) (55 with Hodgkin lymphoma and 213 with non-Hodgkin’s lymphoma) and 121 patients with multiple myeloma (31.1%). Exploratory analysis showed that Hodgkin lymphoma patients were more likely to be female (55% vs. 37%, p=0.019) and younger (median 52.1 vs. 65.5 years, p<0.001), and to receive high dose total body irradiation (TBI, 42% vs. 27%, p=0.03) compared to non-Hodgkin’s lymphoma. None of the medical complications or medication usage differed between the Hodgkin and non-Hodgkin lymphoma groups at p<0.01 (data not shown), thus they were combined for presentation and analysis. Overall, 103 (26.5%) responded online while the rest completed paper surveys. The proportion who completed the survey online was similar between MM and lymphoma (p=0.13).

Table 1.

Participant characteristics

Characteristic Lymphoma
(N=268)
Myeloma
(N=121)
P-value*
Current Age Median years (Range) 63.4 (22.2-88.7) 68.9 (33.7-84.0) <.001
Sex Female 109 (41%) 59 (49%) 0.136
Male 159 (59%) 62 (51%)
Racial/ethnic minority (n=371) Yes 18 (7%) 19 (16%) 0.005
Graft source Bone marrow 32 (12%) 0 (0%) <.001
Peripheral blood 236 (88%) 121 (100%)
High dose total body irradiation Yes 80 (36%) 2 (2%) <.001
Smoke or chew tobacco Yes 21 (8%) 12 (11%) 0.469
Body mass index (n=369) Underweight (<18.5) 5 (2%) 4 (3%) 0.237
Normal (18.5-24.9) 99 (39%) 39 (34%)
Overweight (25-30) 101 (40%) 41 (35%)
Obese (>30) 49 (19%) 32 (28%)
Relapse after transplant Yes 28 (10%) 16 (13%) 0.424
Years since transplant Median (Range) 12.0 (5.9-30.0) 8.0 (5.0-24.9) <.001
Physical component score <40 70 (27%) 45 (39%) 0.017
Mental component score <40 40 (15%) 13 (11%) 0.302
Karnofsky performance status ≥80 228 (87%) 97 (82%) 0.188
Overall health Excellent 43 (16%) 7 (6%) 0.058
Very good 95 (36%) 42 (35%)
Good 84 (32%) 49 (41%)
Fair 39 (15%) 20 (17%)
Poor 5 (2%) 2 (2%)
Work status Working/school full or part time 117 (44%) 33 (27%) 0.006
Retired 119 (44%) 73 (60%)
Other 32 (12%) 15 (12%)
Response rate 268/456 (59%) 121/209 (58%) 0.831
*

P-values are obtained from Chi-square test for categorical variables, Wilcoxon rank sum test/Kruskal Wallis test for comparing medians of continuous variables, and Anova for comparing means of continuous variables

Patients transplanted for lymphoma were more likely to receive bone marrow (12% vs. 0%, p<.001) and high dose TBI in the conditioning regimen (36% vs. 2%, p<.001), less likely to be a racial/ethnic minority (7% vs 16%, p=0.005), and to be slightly younger (median 63 vs. 69, p<.001) and longer after AHCT (median, 12.0, range 5.9-30.0 vs. median, 8.0, range, 5.0-24.9, p<.001) than patients with MM. Ten percent of lymphoma and 13% of myeloma respondents had relapsed after AHCT. Patients transplanted for lymphoma reported better physical functioning (p=0.017) and were more likely to be working or in school full or part time p=0.006. These differences were not due to the differences in time since AHCT. Adjusting for age attenuated the SF-36 physical component score differences and abrogated the differences in work/school status.

Table S1 (supplemental material) summarizes the key factors (as defined in Table 1) compared between non-responders and responders to the questionnaire. Survey responders were older at the time of the survey (median 65 vs. 63 p=.004) than non-respondents, less likely to be a racial/ethnic minority (10% vs 17%, p=0.007), and longer after AHCT (median, 10.9, range 5.0-30.0 vs median, 9.9, range 5.9-29.9, p=0.013). Otherwise there were no significant differences in sex, graft source, conditioning regimen, disease, and post-AHCT relapse between respondent groups.

Table 2 shows the medical conditions as reported by all responders to the questionnaire. The most common reported medical conditions with greater than 10% incidence were the following: Sexual dysfunction, history of shingles, cataracts, osteoporosis or osteopenia, joint replacement, and skin cancer. Significant differences between lymphoma and MM patients after AHCT were identified for several medical conditions (Tables 2 and 3). Lymphoma survivors were more likely to report post-traumatic stress symptoms (6% vs. 1%, p=0.019) whereas MM patients were more likely to report spontaneous bone fracture/compression (5% lymphoma vs. 18% MM, p<0.001). Notable medical conditions that were not different between patients with lymphoma and MM included myocardial infarction or angina, stroke, congestive heart failure, pulmonary embolism/clots or kidney failure requiring dialysis.

Table 2.

Self-reported medical conditions

Medical condition Lymphoma
(n=268)
Myeloma
(n=121)
p-value
Spontaneous (non-traumatic) bone fracture or spine compression 13 (5%) 21 (18%) <.001
Osteoporosis or Osteopenia 54 (22%) 33 (30%) 0.081
Joint replacement 26 (10%) 18 (15%) 0.173
Avascular necrosis 6 (2%) 2 (2%) 1.000
Heart attack or angina, treated with medications, surgery, bypass surgery, or a stent 23 (9%) 11 (9%) 0.928
Stroke 14 (5%) 2 (2%) 0.095
Seizure 8 (3%) 1 (1%) 0.284
Congestive heart failure or cardiomyopathy 19 (7%) 8 (7%) 0.807
Pulmonary embolism or clots in legs or arms 21 (8%) 15 (13%) 0.175
Skin cancer 41 (16%) 17 (15%) 0.713
Another malignant neoplasm, not skin cancer 16 (8%) 4 (4%) 0.173
Pancreatitis (inflammation of the pancreas) 3 (1%) 2 (2%) 0.649
Kidney failure (requiring dialysis) 4 (2%) 5 (4%) 0.148
Cataracts 98 (38%) 52 (44%) 0.319
Post-traumatic stress disorder, requiring treatment 16 (6%) 1 (1%) 0.019
Problems with sexual desire, erection, ejaculation, vaginal dryness or pain 147 (62%) 58 (51%) 0.058
Varicella zoster virus (VZV) or shingles 104 (41%) 52 (44%) 0.545

Table 3.

Self-Reported Medications

Indication Lymphoma (n=268) Myeloma (n=121) p-value
Abnormal heart rhythm 33 (13%) 9 (8%) 0.154
Hypertension 68 (26%) 49 (41%) 0.004
High blood sugar 35 (14%) 19 (17%) 0.434
High cholesterol or blood fat 85 (33%) 27 (24%) 0.069
Heartburn or reflux 65 (25%) 42 (36%) 0.031
Low thyroid 111 (43%) 27 (23%) <.001
Low female or male hormone 49 (20%) 13 (12%) 0.090
Anxiety 40 (16%) 20 (17%) 0.758
Depression 35 (14%) 22 (19%) 0.214
Sleep problems 51 (20%) 29 (25%) 0.244
Prevention or treatment of osteoporosis 25 (10%) 26 (23%) <.001
Swelling or edema 18 (7%) 7 (6%) 0.760
Muscle cramps 41 (16%) 27 (24%) 0.076
Prescription medication for pain 28 (11%) 38 (32%) <.001
Inhaler or bronchodilator for breathing 33 (13%) 15 (13%) 0.959
Blood thinners to prevent or treat clots 36 (14%) 22 (19%) 0.208
Prophylactic antibiotics 14 (5%) 22 (19%) <.001

Table 3 shows the medications currently taken by all patients for a variety of medical conditions. The most frequently reported use of medications (≥20% among patients with MM or lymphoma) were for the following conditions: High blood pressure, heartburn or reflux, high cholesterol, sleep problems, thyroid replacement, pain, muscle cramps, prevention or treatment of osteoporosis, and hormone replacement therapy. Patients transplanted for MM were more likely to be taking medication for infection prevention/treatment (p<0.001), hypertension (p=0.004), osteoporosis (p<.001), pain (p=<.001), and heartburn/reflux (p=0.031). Lymphoma patients were more likely to be on thyroid hormone replacement therapy, p<.001. Surprisingly, among lymphoma patients, TBI use was associated with a lower likelihood of taking thyroid replacement (19.5% vs. 50%, p<0.001) with no difference between Hodgkin and non-Hodgkin’s lymphoma.

Physical and mental functioning were minimally correlated with each other (Spearman correlation =0.22). Twenty-seven percent of lymphoma patients had a low PCS more than 1 STD below the general population compared with 41% of MM patients (p=0.004) while the proportion with low MCS was the same (13%). Median SF36 PCS were lower in patients transplanted for MM (44.5 vs. 49.1). Combining lymphoma and MM patients, Table 4 shows correlates of PCS and MCS in 358 (92.0%) patients by multivariate analysis of responses to the SF-36 instrument. Parameter estimates (PE) that are positive integers indicate a positive association with PCS or MCS while negative integers indicate a negative association with PCS or MCS. In multivariate analysis, higher PCS was associated with younger age at time of questionnaire or AHCT (p=.029), no treatment for depression (p=.003), no comorbidities (p<.001), and no treatment for pain (p<.001), however the effect was attenuated for those with a comorbidity who had treatment for pain (p<.001). Better mental health was associated with older age (p<.001) and no medication for anxiety (p<.001), or depression (p<.001).

Table 4.

Multivariate analysis of SF36 responses

Physical Component Score Mental Component Score
Parameter
estimate*
p-value Parameter
estimate*
p-value
Age −0.10 0.029 0.24 <.001
Comorbidity and treatment for pain
 No co-morbidity, no treatment for pain Ref
 At least one comorbidity, no treatment for pain −5.23 <.001
 No-comorbidity, treatment for pain −11.54 <.001
 At least one comorbidity, treatment for pain −8.97 <.001 - -
Treatment for depression −4.27 0.003 −7.73 <.001
Treatment for anxiety - - −6.48 <.001
*

positive values indicate a positive correlation with better functioning

Discussion

This is one of the most comprehensive reports of late outcomes among AHCT survivors transplanted for lymphoma and MM. We used LTFU annual surveys with health questionnaires over a two-year time period to assess the incidence of medical conditions and complications and the physical functioning and mental health among a large cohort of LTFU survivors who were 5 or more years after AHCT.

We identified several key differences and similarities in late effects and QOL between patients with lymphoma and MM. Overall, lymphoma patients reported better health and QOL. Several conditions and complications may be explained by disease-specific complications unique to MM. For example, as MM is frequently associated with multiple lytic bone lesions, as expected the incidence of osteoporosis and bone fractures/compression and use of pain medication was more frequent in this population. We did not collect data on use of maintenance therapy post AHCT and do not know how its use impacted the development of the late effects seen. As many patients with MM are now treated long term with maintenance chemotherapy such as lenalidomide to prevent disease relapse after AHCT, this may also explain the greater incidence of antibiotic use for infection prevention/ treatment and other effects among MM patients compared to lymphoma. Although MM patients were slightly older than lymphoma patients and were transplanted more recently, we did not find evidence that these factors could explain the observed differences.

The use of TBI transplant conditioning was more frequent in patients with lymphoma. Although lymphoma patients had a higher incidence of hypothyroidism than MM patients, within the lymphoma population, patients receiving TBI paradoxically had a lower incidence of hypothyroidism. Other medical conditions did not differ between lymphoma and MM survivors such as cardiac conditions, which might have been expected to be higher in lymphoma survivors because of anthracycline exposure15 or total body irradiation. Thromboembolic events, which might be expected to be higher in MM survivors because of exposure to immune modulatory drugs (IMiDs)16 was not different between the groups. The most frequent symptom reported by more than 50% of survivors in both groups was sexual dysfunction, suggesting the need for effective interventions.

Other factors unrelated to the disease may account for some of the observed differences between lymphoma and MM patients. For example, increased age is associated with an increased incidence of hypertension in the general population. The increased median age for patients with MM among the patients in our study may explain the increased incidence of hypertension among MM patients.

Other outcomes of the survey do not have an obvious causal or likely explanation. Although uncommon in both groups, the proportion of lymphoma patients with post-traumatic distress symptoms was higher than the MM group. Myeloma patients primarily undergo AHCT to prolong disease-free survival and anticipate disease relapse whereas lymphoma patients are hoping to be cured and may worry more about relapse. In fact, 10% of lymphoma patients and 13% of multiple myeloma patients reported post-transplant relapse, which was a risk factor for worse patient physical functioning. Relapse has been associated with worse caregiver mental functioning17 and a higher risk of patient suicide.18 Interestingly, we did not see differences in mental functioning between those who relapsed and were surviving and those who never relapsed. This may be partially explained by the fact that MM and lymphoma patients with aggressive disease will succumb to complications of their disease within two years after relapse so that those who relapse and are able to respond to the survey may have more indolent or treatable disease.

The 9% incidence of prior or current smoking or chewing tobacco among AHCT survivors is important. While rate is lower than the general population, it is still too high for survivors at risk of tobacco-related complications. Obstructive and restrictive lung disease and decreased cardiorespiratory fitness have been seen in AHCT survivors.11,19 The use of tobacco after high dose myeloablative chemotherapy is associated with an increased incidence of secondary malignancies such as cancers of the lung and digestive tract. Clearly more aggressive medical interventions such as smoking cessation counselling and education or pharmaceutical treatment for those still smoking can result in a lower incidence of tobacco use and a lower incidence of complications associated with tobacco use.

Overall, 32% of patients with MM reported use of pain medications and 22% of all patients reported use of medications to treat anxiety and/or depression. The use of such medications was associated with worse functional status. Patients with these conditions after AHCT may benefit from more intensive treatment of the underlying conditions. This may take the form of physical therapy and exercise, or psychiatric treatment and counselling, with the goal of successfully treating depression, anxiety or pain in order to allow patients to improve both physical function and mental health.

There are a number of limitations to our study, including that we are missing some key information that would have enriched our understanding of late effects and QOL. Some important symptoms, such as cognitive functioning and fatigue, and current disease status were not captured at the time of the survey, and no pre-AHCT patient-reported outcomes were collected so we do not know if deficits preceded AHCT. We also do not have information on whether patients were taking maintenance therapy to try to prevent relapse. We plan to start collecting this information.

With the higher documented rate of medical co-morbidities in survivors of autologous transplantation, screening and preventive measures assume greater importance.20 Despite having survived a cancer and AHCT, many people continue to practice unhealthy habits that increase their risks for late treatment complications.21,22 There are efforts to increase knowledge of23 and compliance with published guidelines24 to improve the health and well-being of survivors,25,26 but to date evidence of their effectiveness in decreasing morbidity is lacking. Nevertheless, compliance with recommended screening (based on both disease-specific and general population considerations)27,28 and prevention (immunizations and healthy habits)21,29,30 seems wise. For example, the high rate of shingles suggests efforts to vaccinate AHCT survivors are warranted.

In summary, at a median of 11 (range, 5-30) years after AHCT, we have identified important late effects and QOL deficits that are potentially amenable to intervention. Targeted interventions to improve QOL and decrease late effects can contribute to the improved success of transplant therapy.

Supplementary Material

1

Highlights.

  • After autologous hematopoietic cell transplantation (AHCT), lymphoma patients reported better health and QOL compared to multiple myeloma.

  • At a median of 11 years after AHCT, we identified important late effects and QOL deficits that are potentially amenable to intervention.

Acknowledgements

We are grateful for the active participation of the patients who completed the LTFU surveys. Funding source: CA018029

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Conflict of interest

Holmberg: Up-To-Date (Royalties)

References:

  • 1.Khera N, Storer B, Flowers ME, et al. Nonmalignant late effects and compromised functional status in survivors of hematopoietic cell transplantation. J Clin Oncol. 2012;30(1):71–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Majhail NS, Ness KK, Burns LJ, et al. Late effects in survivors of Hodgkin and non-Hodgkin lymphoma treated with autologous hematopoietic cell transplantation: a report from the bone marrow transplant survivor study. Biol Blood Marrow Transplant. 2007;13(10):1153–1159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sun CL, Francisco L, Kawashima T, et al. Prevalence and predictors of chronic health conditions after hematopoietic cell transplantation: a report from the Bone Marrow Transplant Survivor Study. Blood. 2010;116(17):3129–3139; quiz 3377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Martin PJ, Counts GW Jr., Appelbaum FR, et al. Life expectancy in patients surviving more than 5 years after hematopoietic cell transplantation. J Clin Oncol. 2010;28(6):1011–1016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Myers RM, Hill BT, Shaw BE, et al. Long-term outcomes among 2-year survivors of autologous hematopoietic cell transplantation for Hodgkin and diffuse large b-cell lymphoma. Cancer. 2018;124(4):816–825. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Smeland KB, Kiserud CE, Lauritzsen GF, et al. A national study on conditional survival, excess mortality and second cancer after high dose therapy with autologous stem cell transplantation for non-Hodgkin lymphoma. Br J Haematol. 2016;173(3):432–443. [DOI] [PubMed] [Google Scholar]
  • 7.Bhatia S, Robison LL, Francisco L, et al. Late mortality in survivors of autologous hematopoietic-cell transplantation: report from the Bone Marrow Transplant Survivor Study. Blood. 2005;105(11):4215–4222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Smeland KB, Kiserud CE, Lauritzsen GF, et al. Conditional survival and excess mortality after high-dose therapy with autologous stem cell transplantation for adult refractory or relapsed Hodgkin lymphoma in Norway. Haematologica. 2015;100(6):e240–243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Holmqvist AS, Chen Y, Wu J, et al. Late mortality after autologous blood or marrow transplantation in childhood: a Blood or Marrow Transplant Survivor Study-2 report. Blood. 2018;131(24):2720–2729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.D'Souza A, Fretham C. Current uses and outcomes of hematopoietic cell transplantation (HCT): CIBMTR Summary Slides. Available at https://www.cibmtr.org; 2018. [Google Scholar]
  • 11.Stenehjem JS, Smeland KB, Murbraech K, et al. Cardiorespiratory fitness in long-term lymphoma survivors after high-dose chemotherapy with autologous stem cell transplantation. Br J Cancer. 2016;115(2):178–187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Stenehjem JS, Smeland KB, Murbraech K, et al. Diffusing capacity impairment is prevalent in long-term lymphoma survivors after high-dose therapy with autologous stem cell transplantation. Bone Marrow Transplant. 2017;52(4):646–649. [DOI] [PubMed] [Google Scholar]
  • 13.Ware JE, Kosinski M, Keller SD. SF-36 physical and mental health summary scales: a user's manual. Boston: The Health Institute, New England Medical Center; 1994. [Google Scholar]
  • 14.Ware JE, Snow KK, Kosinski M, Gandek B. SF-36 Health Survey: a manual and interpretation guide. Boston: The Health Institute, New England Medical Center; 1993. [Google Scholar]
  • 15.Kenzik KM, Mehta A, Richman JS, Kilgore M, Bhatia S. Congestive heart failure in older adults diagnosed with follicular lymphoma: A population-based study. Cancer. 2018;124(21):4221–4230. [DOI] [PubMed] [Google Scholar]
  • 16.Kekre N, Connors JM. Venous thromboembolism incidence in hematologic malignancies. Blood Rev. 2019;33:24–32. [DOI] [PubMed] [Google Scholar]
  • 17.Jamani K, Onstad LE, Bar M, et al. Quality of Life of Caregivers of Hematopoietic Cell Transplant Recipients. Biol Blood Marrow Transplant. 2018;24(11):2271–2276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Tichelli A, Labopin M, Rovo A, et al. Increase of suicide and accidental death after hematopoietic stem cell transplantation: a cohort study on behalf of the Late Effects Working Party of the European Group for Blood and Marrow Transplantation (EBMT). Cancer. 2013;119(11):2012–2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Stenehjem JS, Smeland KB, Murbraech K, et al. Obstructive and restrictive pulmonary dysfunction in long-term lymphoma survivors after high-dose therapy with autologous stem cell transplantation. Acta Oncol. 2018;57(6):773–781. [DOI] [PubMed] [Google Scholar]
  • 20.Bhatia S, Armenian SH, Landier W. How I monitor long-term and late effects after blood or marrow transplantation. Blood. 2017;130(11):1302–1314. [DOI] [PubMed] [Google Scholar]
  • 21.Chow EJ, Baker KS, Lee SJ, et al. Influence of conventional cardiovascular risk factors and lifestyle characteristics on cardiovascular disease after hematopoietic cell transplantation. J Clin Oncol. 2014;32(3):191–198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Bersvendsen HS, Haugnes HS, Fagerli UM, et al. Lifestyle behavior among lymphoma survivors after high-dose therapy with autologous hematopoietic stem cell transplantation, assessed by patient-reported outcomes. Acta Oncol. 2019:1–10. [DOI] [PubMed] [Google Scholar]
  • 23.Landier W, Chen Y, Namdar G, et al. Impact of Tailored Education on Awareness of Personal Risk for Therapy-Related Complications Among Childhood Cancer Survivors. J Clin Oncol. 2015;33(33):3887–3893. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Majhail NS, Rizzo JD, Lee SJ, et al. Recommended screening and preventive practices for long-term survivors after hematopoietic cell transplantation. Biol Blood Marrow Transplant. 2012;18(3):348–371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Majhail NS, Murphy E, Laud P, et al. Randomized controlled trial of individualized treatment summary and survivorship care plans for hematopoietic cell transplantation survivors. Haematologica. 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Syrjala KL, Yi JC, Artherholt SB, et al. An online randomized controlled trial, with or without problem-solving treatment, for long-term cancer survivors after hematopoietic cell transplantation. J Cancer Surviv. 2018;12(4):560–570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Bilmon IA, Ashton LJ, Le Marsney RE, et al. Second cancer risk in adults receiving autologous haematopoietic SCT for cancer: a population-based cohort study. Bone Marrow Transplant. 2014;49(5):691–698. [DOI] [PubMed] [Google Scholar]
  • 28.Armenian SH, Horak D, Scott JM, et al. Cardiovascular Function in Long-Term Hematopoietic Cell Transplantation Survivors. Biol Blood Marrow Transplant. 2017;23(4):700–705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Bishop MM, Lee SJ, Beaumont JL, et al. The preventive health behaviors of long-term survivors of cancer and hematopoietic stem cell transplantation compared with matched controls. Biol Blood Marrow Transplant. 2010;16(2):207–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Sahoo F, Hill JA, Xie H, et al. Herpes Zoster in Autologous Hematopoietic Cell Transplant Recipients in the Era of Acyclovir or Valacyclovir Prophylaxis and Novel Treatment and Maintenance Therapies. Biol Blood Marrow Transplant. 2017;23(3):505–511. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1

RESOURCES