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© 2002 American Society for Clinical Oncology Association of Depressive Syndrome and Early Deaths Among Patients After Stem-Cell Transplantation for Malignant DiseasesByFrom the Health Policy Institute and the Department of Medicine, Hematology and Oncology, Bone Marrow Transplantation Program, Medical College of Wisconsin, Milwaukee, WI; and the Department of Adult Oncology, Dana-Farber Cancer Institute, Boston, MA. Address reprint requests to Fausto R. Loberiza, Jr, MD, MS, International Bone Marrow Transplant Registry Health Policy Institute, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53224; email: faustol{at}mcw.edu
PURPOSE: The association of depression and increased mortality in the general population, and also various medical conditions, is well documented. However, depression is not well studied in the setting of hematopoietic stem-cell transplantation (HSCT). We examined the association between depressive syndrome and survival after HSCT. PATIENTS AND METHODS: A total of 193 patients who received autologous or allogeneic HSCT from Brigham and Womens Hospital or Dana-Farber Cancer Institute were evaluated prospectively. The self-rated Likert-scaled symptom checklist, the SF-36, and the Spitzer Quality of Life Index Scale were administered. Outcomes evaluated included survival and quality of life. RESULTS: Sixty-seven patients (35%) satisfied the criteria for depressive syndrome. The 1-year probability of survival for the depressed and nondepressed patients was 85% (95% confidence interval [CI], 74% to 92%) and 94% (95% CI, 89% to 97%), respectively (P = .04). In multivariable modeling, depressed patients have a three-fold greater risk of dying than nondepressed patients (95% CI, 1.07 to 8.30; P = .04) between 6 and 12 months after HSCT after adjusting for other prognostic factors. Global inferiority in quality of life was observed in the depressed cohort when last measured at 24 months after transplantation. CONCLUSION: Depressive syndrome after HSCT is associated with decreased survival, at least from 6 to 12 months after transplantation. Persistence of this association after controlling for possible confounding factors suggests that depression may be more than simply a marker for concurrent ill health. This study raises an interesting hypothesis as to whether psychological or pharmacologic intervention for depression after HSCT can improve survival and/or quality of life.
THE ASSOCIATION of depression and increased mortality in the general population is well documented.1-8 A meta-analysis using a pooled sample representing 19,000 people showed individuals with depression had excess mortality from infectious, respiratory, nervous, and circulatory disorders compared with the general population.9 Similarly, depression and reduced survival have been linked in patient populations with various medical conditions such as heart disease, cancer, and solid organ transplantation.10-14 Nevertheless, it remains controversial whether depression (or any psychological deficit) contributes directly to the increased mortality or is simply a marker for the severity of underlying chronic illness. The association of depression and survival is not well addressed in the setting of hematopoietic stem-cell transplantation (HSCT). Only one study has examined the relationship between depressed mood and subsequent survival. Colon et al15 found that patients with depressed mood as documented before HSCT had lower survival rates. Although this study involved a relatively homogenous population and adjusted for patient age, type of acute leukemia, stage of disease, and year of transplantation, other physical and mental patient characteristics were not measured to allow adjustment for concurrent health status. Thus, this study could not address whether depression simply reflects poor health and is consequently a marker for poor outcome, or is a primary contributor to poor outcome. Both depression and anxiety are common after HSCT,15-23 with the prevalence of depressive symptoms among transplant recipients estimated to be at least 18%.18 Clinical depression is a major impediment to high levels of perceived health, affecting patients quality of life and, possibly, interfering with complete recovery.17 Longitudinal studies show that despite steady increases in return to normal functioning with 75% of HSCT recipi-ents returning to baseline levels at the end of 2 years, 37% have at least mild depression at the end of the first year after transplantation.19 The biopsychosocial mechanism of how depression may alter survival independent of physical status is largely speculative. Randomized studies of pharmacologic interventions with or without psychotherapy in cancer patients with depression provide conflicting evidence for benefit, further fueling the controversy.24-27 The purpose of this observational study is to identify the association, if any, between depression and survival after HSCT after controlling for other potential prognostic factors. Evidence suggesting an association could prompt further studies aimed at identifying possible mechanisms and developing and testing interventions. Even if survival is not directly affected, proper treatment of depression after transplantation could improve patients quality of life and return to normal function.
Study Population Patients scheduled for autologous or allogeneic HSCT were prospectively recruited from either the Brigham and Womens Hospital (BWH) or Dana-Farber Cancer Institute (DFCI). Recruitment began at BWH in August 1996 and at DFCI in January 1997. Eligible patients were required to be at least 18 years of age and scheduled for either autologous or allogeneic HSCT within 1 week to 3 months of enrollment. Excluded were patients who (1) did not speak or read English, (2) declined participation, (3) did not return baseline questionnaires, or (4) could not be contacted before admission for transplantation because of logistic reasons. Initial contact of the potential study patient was made by one of the authors (S.J.L.) to describe the study. Subsequently, mailed questionnaires, consent forms, and a self-addressed, stamped envelope were sent to the potential study participants. Follow-up questionnaires were mailed to surviving participants at 6, 12, and 24 months after HSCT. Results reported here describe data collected before May 1, 2001, although data collection continues. The specific transplantation regimens and protocols have been described in detail elsewhere.28 Only patients who returned their 6-month posttransplant surveys are included in this report (n = 193). The study protocol was reviewed and approved by the institutional review boards of BWH and DFCI.
Data Collection In order to verify the constellation of symptoms representing depression, a chart review was conducted by a blinded assessor to determine clinician documentation of depressive symptoms and prescription of antidepressants. Information was abstracted from notes in the medical record dated within 4 weeks of the 6-month survey completion. This chart review was considered the "gold standard" for calculating test characteristics for our definition of depressive syndrome.
Measures and Outcome
Statistical Analysis Data were analyzed using a Cox proportional hazards model. Because the main focus of the study was to determine whether there was a survival difference after the diagnosis of depressive syndrome (which was first assessed by the 6-month survey); only patients surviving longer than 6 months and completing surveys were analyzed. The method built a single model with time to death as the dependent variable and age, sex, race, religion, marital status, disease type, disease stage (early, intermediate, advanced),29 type of transplantation (autologous, related, unrelated), use of total-body irradiation, and T-cell depletion as explanatory variables. A main effect term for the presence or absence of depressive syndrome was forced into the model. The proportional hazards assumption for all variables was examined using time-varying covariate and graphical approaches.34 Construction of stratified proportional hazards models or time-dependent covariates was used whenever nonproportional variables were identified. Interactions between presence or absence of depressive syndrome and all explanatory variables were examined. The final model included all patient, disease, and transplantation factors found prognostic of the outcome plus a term for depressive syndrome. We then evaluated the effect of chronic graft-versus-host disease, physical and mental composite scores of the SF-36 at 6 months, state of health score in the Spitzer Quality of Life Index at 6 months, and relapse on the association between depressive syndrome and survival by forcing each into the final model described above. Using the prognostic factors identified, an adjusted Kaplan-Meier curve comparing the depressed and nondepressed groups was plotted. Type I error was set at an alpha of less than .05, but values greater than .01 should be interpreted with caution, given the multiple comparisons. All tests were performed using SAS Version 8.0 (SAS Institute, Inc, Cary, NC) for Unix.
Patient Characteristics A total of 313 (68%) of the 458 mailed baseline questionnaire were completed before transplantation. Comparison of the 313 responders with the 145 nonresponders with the initial mailed survey at baseline showed that the study participants were more likely to have good prognosis and to undergo allogeneic transplantation, and to be white, female, and older.29 Of the 313 patients returning questionnaires, 86 (27%) died within 6 months and 34 (11%) failed to respond to the 6-month follow-up questionnaire, leaving 193 (62%) patients included in the study. Patients who failed to respond to the 6-month questionnaire had more advanced disease (20% v 3%; P < .001), lower baseline physical composite scores (SF-36) and lower overall states of health (Spitzer Quality of Life Index), and a lower probability of surviving to 1 year (56% v 90%; P = .001) than those who were included in the study. Other patient-, disease-, and transplantation-related characteristics were similar between responders and nonresponders. Response rates of the study population over time are summarized in Fig 1.
Characteristics of Patients With Depressive Syndrome at 6 Months Of the 193 patients included, 67 (35%) satisfied the threshold for depressive syndrome. The median age of the depressed group was 45 years (range, 24 to 61 years), not significantly different from the nondepressed group (n = 126; median age, 48 years; range, 19 to 66 years; P = .12). Patient-, disease-, and transplantation-related characteristics of the two populations were similar except for type of transplantation (Table 1). Patients with depressive symptoms at 6 months were more likely to have received allogeneic transplants (67% v 51%; P = .005).
Quality-of-life profiles of the two groups before transplantation show similar scores in the domains of physical health in the SF-36 and the Spitzer Quality of Life Index as shown in Tables 2 and 3. In addition, patients perceived health and physician evaluations of the patients health and prognosis before transplantation were not different (data not shown). Most patients in the two cohorts believed their health to be very good to excellent before transplantation (nondepressed 68% v depressed 61%; P = .77). However, patients in the depressed group had reported lower pretransplant energy and vitality (P = .02), emotional functioning (P = .005), and mental functioning (P < .001) as measured by the SF-36. Depressed patients also tended to have a less functional outlook on their life on the pretransplant Spitzer Quality of Life Index (P < .001).
By 6 months, patients with depressive syndrome demonstrated statistically lower scores on all physical and mental domains of the SF-36 and the Spitzer Quality of Life Index scores compared with the nondepressed group (Tables 2 and 3), signaling more global functional deficits.
One hundred fifty-six (81%) of 193 patients had been seen at DFCI within 1 month of completing their 6-month survey. Review of these medical charts showed that 13% contained documentation that the clinician recognized depression or that the patient was taking antidepressants. If documentation in the medical record is used as the gold standard, our system of classifying depressive syndrome had a sensitivity of 62%, a specificity of 76%, a negative predictive value of 93%, and a positive predictive value of 29%.
Multivariate and Adjusted Models Predicting Survival
Follow-Up Quality of Life of Survivors The SF-36 and Spitzer Quality of Life Index scores of the surviving depressed and nondepressed cohorts were examined at 12 and 24 months after transplantation. Whereas before transplantation, only domains that measured mental health appeared to vary systematically between the depressed and nondepressed patients, the global inferiority in functioning seen in the depressed cohort at the time of depression (6 months) persisted at 12 months after transplantation (Tables 2 and 4). Data for 19 depressed and 46 nondepressed patients assessable at 24 months showed similar compromised Spitzer Quality of Life Index scores and mental health scores on the SF-36 for the depressed group. At 12 months after HSCT, depressed patients were more likely to be taking medications related to the transplantation (83% v 58%; P = .02), less likely to be working full-time or part-time (39% v 55%; P = .03), less likely to agree with the statement that life has returned to normal (37% v 70%; P < .001), less likely to report "very good to excellent" perception of their overall health (23% v 53%; P = .03), and more likely to report depressive symptoms (72% v 17%; P < .001) than the nondepressed cohort. Frequencies of physician visits as self-reported by patients were the same for the two cohorts.
We found that 35% of patients surviving at least 6 months after HSCT reported symptoms characteristic for depressive syndrome. These patients had poorer quality of life and a three-fold higher risk for death in the subsequent 6 months compared with nondepressed patients, even after controlling for all known potential confounders. Depression is frequent in cancer patients sometime in the course of their illness.35-37 The natural evolution of cancer and its treatment from anticipation, diagnosis, treatment, remission, and exacerbation are intuitively sources of psychic assault. In HSCT, the additional stress of rigorous pretransplantation chemotherapy, the intense posttransplant prophylaxis and monitoring, and the constant prospect of death may lead to depression or may exacerbate depressive symptoms. Clinicians may consider depression as a natural response to a stressful situation and an unfortunate by-product of an aggressive curative attempt. Although true, according to our data, depressive syndrome is associated with a global decrease in physical and mental functioning and is associated with decreased survival in the subsequent 6 months. In the palliative care model, where a premium is placed on life with quality and dignity, there is little doubt that depression should be diagnosed and treated. Our data also suggest that a component causative role of depression in early deaths may be possible because a statistical association persisted despite adjustment for multiple possible confounders including type of transplantation, chronic graft-versus-host disease, mental and physical functioning as measured on validated instruments, and relapse. However, allogeneic patients were overrepresented in the depressed cohort. We have tested for an interaction between type of transplantation and depression and found no evidence that the risk of death associated with depression varies. However, because we remain concerned about potentially important unmeasured clinical variables associated with autologous and allogeneic transplantation, and there is an intrinsic difference in the risk of death, all multivariate models were stratified according to type of transplantation. No study in stem-cell transplantation has evaluated pharmacologic and/or psychological interventions among patients with comorbid depression. Our results suggest active intervention should be evaluated because both quality of life and possibly survival could be improved. Such a study must consider that standard pharmacologic approaches with antidepressants, although useful in other settings, may not be as easily applied here because of possible interactions with multiple other drugs. Effective clinical doses may be higher or lower than standard doses. Combination with active psychological intervention, such as cognitive-behavioral therapy, may be more effective. This study has several limitations. The instrument used to operationally define depression is not a standard one, although the criteria used to define depressive syndrome have content validity, and, when satisfied, should prompt further psychological evaluation. We recognize that the somatic elements of depression used in our definition (anxiety, difficulty concentrating, feeling isolated, fatigue, or memory loss) may not be as specific for the diagnosis of depression in this population. Nevertheless, the sensitivity and specificity we attained for our system of classifying depressive syndrome is comparable to validation studies of depression scales such as the Becks Depression Inventory, Hamilton Anxiety and Depression scale, Zung Self Rating scale, and the Center for Epidemiologic Studies Depression scale.38-42 We used chart review as the gold standard for these calculations. It is quite possible that this measure underestimates clinical depression, and that patient report is actually a more accurate reflection of depressive syndrome. If so, then the appropriate response to a positive predictive value of 29% is not to raise the threshold of the instrument, but rather to implement greater efforts in routine clinical care to identify depressive syndrome. Another limiting factor is the potential effect of the nonresponders on the association of depression with survival. Our data, however, suggest that the nonresponders may even be more depressed and have lower quality-of-life scores, as they were much more likely to die or relapse than responders. If so, then inclusion of these patients might have increased the observed association between depression and mortality. Our study instrument was not designed to look at depressive symptoms before transplantation or before 6 months after transplantation. Prospectively collected data on other aspects of mental health, physical health, social support, and prognostic expectations before transplantation suggest that the two groups started out with similar physical characteristics. However, patients who will subsequently report depressive symptoms at 6 months are more likely to have pretransplant deficits in mental health and outlook. This observation suggests that patients at risk for depressive syndrome might be identified by pretransplant screening, thereby allowing more active monitoring and earlier intervention. By 6 months, the depressed and nondepressed groups were clearly distinguishable on all quality-of-life domains, and these changes were maintained at 12 and 24 months. Although the survival difference was seen only in the first 12 months after transplantation, the small number of events in the two cohorts after 12 months may limit our ability to detect a difference in the two groups beyond this time. Finally, we did not collect any data that could address potential mediating mechanisms for depressions effects, such as health behaviors (threshold for seeking medical evaluation for symptoms, compliance with treatment), availability of tangible social support, and physiologic parameters such as susceptibility to infection. In summary, we find support that depressive symptoms among patients who have undergone stem-cell transplantation are associated with higher mortality, at least in the period from 6 to 12 months after transplantation, after controlling for other patient-, disease-, and transplantation-related prognostic factors. Although our study is not definitive, we believe our data provide compelling support for future studies to evaluate the role of pharmacologic and psychological intervention for depression in improving quality of life and possibly survival.
Supported in part by grant no. CA75267-03 from the National Institutes of Health, Bethesda, MD, and the Amy Strelzer-Manasevit Scholars Program, Minneapolis, MN. We thank Christina Caron and Samantha Bennett for their help with study coordination and Sandy Sobotka for administrative assistance.
1. Narkush RE, Schwab JJ, Farris P, et al: Mortality and community mental health: The Alachua County, Florida, mortality study. Arch Gen Psychiatry 34: 1393-1401, 1977[Abstract] 2. Murphy JM, Olivier DC, Sobol AM, et al: Diagnosis and outcome: Depression and anxiety in a general population. Psychol Med 16: 117-126, 1986[Medline] 3. Kaplan GA, Reynolds P: Depression and cancer mortality and morbidity: Prospective evidence from the Alameda County study. J Behav Med 11: 1-13, 1988[CrossRef][Medline]
4.
Bruce ML, Leaf PJ: Psychiatric disorders and 15-month mortality in a community sample of older adults. Am J Public Health 79: 727-730, 1989
5.
Somervell PD, Kaplan BH, Heiss G, et al: Psychologic distress as a predictor of mortality. Am J Epidemiol 130: 1013-1023, 1989
6.
Bruce ML, Leaf PJ, Rozal GP, et al: Psychiatric status and 9-year mortality data in the New Haven Epidemiologic Catchment Area Study. Am J Psychiatry 151: 716-721, 1994 7. Huppert FA, Whittington JE: Symptoms of psychological distress predict 7-year mortality. Psychol Med 25: 1073-1078, 1995[Medline]
8.
Simonsick EM, Wallace RB, Blazer DG, et al: Depressive symptomatology and hypertension-associated morbidity and mortality in older adults. Psychosom Med 57: 427-435, 1995
9.
Harris EC, Barraclough B: Excess mortality of mental disorder. Br J Psychiatry 173: 11-53, 1998
10.
Carinci F, Nicolucci A, Ciampi A, et al: Role of interactions between psychological and clinical factors in determining 6-month mortality among patients with acute myocardial infarction: Application of recursive partitioning techniques to the GISSI-2 databaseGruppo Italiano per lo Studio della Sopravvivenza nell Infarto Miocardico. Eur Heart J 18: 835-845, 1997 11. Dew MA, Roth LH, Thompson ME, et al: Medical compliance and its predictors in the first year after heart transplantation. J Heart Lung Transplant 15: 631-645, 1996[Medline] 12. Dew MA, Roth LH, Schulberg HC, et al: Prevalence and predictors of depression and anxiety-related disorders during the year after heart transplantation. Gen Hosp Psychiatry 18: 48S-61S, 1996[CrossRef][Medline] 13. Grady KL, Jalowiec A, White-Williams C: Patient compliance at one year and two years after heart transplantation. J Heart Lung Transplant 17: 383-394, 1998[Medline] 14. Murberg TA, Bru E, Svebak S, Tveteras R, Aarsland T: Depressed mood and subjective health symptoms as predictors of mortality in patients with congestive heart failure: A two-years follow-up study. Int J Psychiatry Med 29: 311-326, 1999[CrossRef][Medline]
15.
Colon EA, Callies AL, Popkin MK, et al: Depressed mood and other variables related to bone marrow transplantation survival in acute leukemia. Psychosomatics 32: 420-425, 1991 16. Wolcott DL, Wellisch DK, Fawzy FI, et al: Adaptation of adult bone marrow transplant recipient long-term survivors. Transplantation 41: 478-484, 1986[Medline] 17. Wingard JR, Curbow B, Baker F, et al: Health, functional status, and employment of adult survivors of bone marrow transplantation. Ann Intern Med 114: 113-118, 1991 18. Vose JM, Kennedy BC, Bierman PJ, et al: Long-term sequelae of autologous bone marrow or peripheral stem cell transplantation for lymphoid malignancies. Cancer 69: 784-789, 1992[CrossRef][Medline] 19. Syrjala KL, Chapko MK, Vitaliano PP, et al: Recovery after allogeneic marrow transplantation: Prospective study of predictors of long-term physical and psychosocial functioning. Bone Marrow Transplant 11: 319-327, 1993[Medline] 20. Andrykowski MA, Brady MJ, Greiner CB, et al: Returning to normal following bone marrow transplantation: Outcomes, expectations and informed consent. Bone Marrow Transplant 15: 573-581, 1995[Medline] 21. Andrykowski MA, Bruehl S, Brady MJ, et al: Physical and psychosocial status of adults one-year after bone marrow transplantation: A prospective study. Bone Marrow Transplant 15: 837-844, 1995[Medline] 22. Somerfield MR, Curbow B, Wingard JR, et al: Coping with the physical and psychosocial sequelae of bone marrow transplantation among long-term survivors. J Behav Med 19: 163-184, 1996[CrossRef][Medline] 23. Sasaki T, Akaho R, Sakamaki H, et al: Mental disturbances during isolation in bone marrow transplant patients with leukemia. Bone Marrow Transplant 25: 315-318, 2000[CrossRef][Medline] 24. Spiegel D, Bloom JR, Kraemer HC, et al: Effect of psychosocial treatment on survival of patients with metastatic breast cancer. Lancet 2: 888-891, 1989[CrossRef][Medline] 25. Fawzy FI, Fawzy NW, Hyun CS, et al: Malignant melanoma: Effect of an early structured psychiatric intervention, coping, and affective state on recurrence and survival 6 years later. Arch Gen Psychiatry 50: 681-689, 1993[Abstract] 26. Sheard T, Maguire P: The effect of psychological interventions on anxiety and depression in cancer patients: Results of two meta-analyses. Br J Cancer 80: 1770-1780, 1999[CrossRef][Medline] 27. Edelman S, Lemon J, Bell DR, et al: Effects of group CBT on the survival time of patients with metastatic breast cancer. Psychooncology 8: 474-481, 1999[CrossRef][Medline]
28.
Lee SJ, Fairclough D, Antin JH, et al: Discrepancies between patient and physician estimates for the success of stem cell transplantation. JAMA 285: 1034-1038, 2001
29.
Lee SJ, Fairclough D, Parsons SK, et al: Recovery after stem-cell transplantation for hematologic diseases. J Clin Oncol 19: 242-252, 2001 30. Ware JE, Sherbourne CD: The MOS 36-item Short-Form Health Survey (SF-36): I. Conceptual framework and item selection. Med Care 30: 473-483, 1992[Medline] 31. Ware JE, Kosinski M, Keller SD: SF-36 Physical and Mental Health Summary Score: A Users Manual. Boston, MA, Health Institute, New England Medical Center, 1994 32. Spitzer WO, Dobson AJ, Hall J, et al: Measuring the quality of life of cancer patient: A concise quality-index for use by physicians. J Chronic Dis 34: 585-597, 1981[CrossRef][Medline] 33. Mor V: Cancer patients quality of life on the disease course: Lessons from real work. J Chronic Dis 40: 535-544, 1987[CrossRef][Medline] 34. Klein JP, Moeschberger ML: Survival Analysis: Techniques for Censored and Truncated Data. New York, Springer-Verlag, 1996, pp 334-336 35. Spiegel D: Cancer and depression. Br J Psychiatry 168: 109-116, 1996 36. Schwenk TL: Cancer and depression. Oncology 25: 505-513, 1998 37. Massie MJ, Popkin MK: Depressive disorders, in Holland JC (ed): Psycho-Oncology. New York, NY, Oxford University Press, 1998 38. Turner JA, Romano JM: Self-report screening measures for depression in chronic pain patients. J Clin Psychol 40: 909-913, 1984[Medline] 39. Zung W, Zung E: Use of the Zung Self-rating Depression Scale (SDS) in the elderly. Clin Gerontol 5: 137-148, 1986
40.
Weissman M, Sholomskas D, Pottenger M: Assessing depressive symptoms in five psychiatric populations: A validation study. Am J Epidemiol 106: 203-204, 1977 41. Parikh R, Eden D, Price T, et al: The sensitivity and specificity of the Center for Epidemiologic Studies Depression Scale in screening post-stroke depression. Int J Psychiatry Med 18: 169-181, 1988[Medline] 42. Potts M, Daniels M, Burnam M, et al: A structured interview version of the Hamilton Depression Rating scale: Evidence of reliability and versatility of administration. J Psychiatr Res 24: 335-350, 1990[CrossRef][Medline] Submitted October 30, 2001; accepted January 16, 2002. This article has been cited by other articles:
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Copyright © 2002 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
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