We conducted a prospective cohort study in newly diagnosed systemic light chain (AL) amyloidosis patients (N = 59) to study patient-reported outcomes (PROs) through the first year. The median age was 68 years with 42% female, 8% Black, and 78% lambda subtype. Organ involvement was cardiac in 66%, renal in 58%, with 25% having 3 or greater organs involved. Between baseline and 3 months, all PROMIS®-29 domain scores worsened by 0.4–4.1 points except anxiety which improved by 2.1 points. By 1 year, scores improved compared to the greatest decline at 3 months, most statistically significant for global physical health, physical function, and fatigue. On stage-adjusted survival analysis, in addition to baseline global physical and mental health, domains measuring physical function, fatigue, anxiety, depression, and social roles were associated with 1-year survival. At 1 year, PROMIS measures were associated with NT-proBNP changes and hematologic response. Among patients with an NT-proBNP response, the improvement was seen in physical function, social roles, global mental health, and anxiety. Among patients with an NT-proBNP progression, worsening was seen with anxiety, depression, sleep, and global mental health. Measuring and tracking PROs in patients with AL amyloidosis is important and these important outcomes can be used as correlative endpoints in clinical care/research.
Systemic light chain (AL) amyloidosis is a plasma cell neoplasm associated with a multisystem disease with high early mortality and morbidity1. Early mortality in the first year of newly diagnosed AL amyloidosis can be as high as 35–40%2,3. The strongest known predictor of early mortality is the stage of disease at diagnosis. Stage is currently best determined using the cardiac biomarkers, N-terminal of the prohormone of brain natriuretic peptide (NT proBNP) and troponin T (TnT), and the free light chain burden as determined by the difference between the involved and uninvolved free light chains (dFLC)4. Current treatment of AL amyloidosis depends primarily on chemotherapy-based treatment of the amyloidogenic clone to lower the concentration of the involved free light chain. However, this treatment is suboptimal and has no effect on preformed amyloid fibrils for which endogenous clearance is slow. Consequently, it is well recognized that patients may have early symptomatic and biomarker deterioration before improvements, particularly in patients with advanced amyloidosis5. Patients with the best organ outcomes are those with rapid clearance of the amyloidogenic free light chain by 90%6. Therefore, despite toxicities, chemotherapy treatment is the mainstay of therapy along with supportive care.
Health-related quality of life is an important aspect of AL amyloidosis burden and management. Patient-reported outcome (PRO) measures can be helpful in understanding health-related quality of life and can aid in providing improved care and symptom management7. In many diseases, a patient’s health-related quality of life has also been shown to predict clinical outcomes such as overall survival8,9.
The primary objective of the current study was to understand the trajectories in PROs in AL amyloidosis in the first year after diagnosis. Additionally, we sought to determine if PRO domains at diagnosis were able to predict early mortality in the first year after diagnosis, after adjusting for other factors predicting survival. Lastly, we assessed the relationships between changes in PRO scores with changes in NT-proBNP, a biomarker that is qualified as a surrogate for survival in AL amyloidosis10.
Materials and methods
We conducted this IRB-approved, prospective cohort study at the Medical College of Wisconsin, Milwaukee (N = 35) and Mayo Clinic, Rochester (N = 26). Newly diagnosed patients with systemic AL amyloidosis within 3 months of starting treatment were eligible for enrollment. Patients were staged using the Mayo 2004 and 2012 AL amyloidosis staging systems using NT-proBNP, troponin T, and the difference between the involved and uninvolved free light chains4,11. We collected PROs from patients in clinic on paper by self-administration at enrollment, 3 months, 6 months and 1-year using the Patient Reported Outcomes Measurement Information System (PROMIS®). For patients unable to return to clinic, PROs were completed over the telephone by interviewer administration. At each time point, biomarkers, NT-proBNP, troponin T and dFLC, were also collected in order to assess changes in these measures, and patients were restaged whenever these were available. Date of death or last follow-up was recorded.
PROMIS Global Health v1.2 is a 10-item scale covering overall evaluations of physical, mental, and social health, with summary scores for Global Physical Health and Global Mental Health summary scores12. In addition, the individual items can be examined separately to provide specific information about perceptions of physical function, pain, fatigue, emotional distress, social health, and general perceptions of health.
PROMIS-29 Profile v2.0 is comprised of seven 4-item short forms assessing Anxiety, Depression, Fatigue, Pain Interference, Physical Function, Sleep Disturbance, and Ability to Participate in Social Roles and Activities as well as a single Pain Intensity item.
The HealthMeasures Scoring Service was used to score each domain13. PROMIS scores are represented on the T-score metric (mean = 50, standard deviation (SD) = 10), and a score of 50 corresponds to the mean of a reference population. The reference population for most PROMIS domains is the general U.S. adult population with the exception of 2 domains, Ability to Participate in Social Roles and Activities and Sleep Disturbance where the calibration sample included more people with chronic illness. Higher scores indicate more of the concept being measured. For example, for the Physical Function domain, a score higher than 50 implies better physical function than average, whereas for Fatigue, a score higher than 50 implies worse fatigue compared to the average of the general US adult population. Minimal important differences vary by domain and the method used to calculate them; with PROMIS measures they may be as low as 2.0–3.0 points (pain, physical function) or 3.0–5.0 points (fatigue)14,15. We considered a change of 3–5 points as clinically meaningful a priori based on other work in hematologic malignancies and PROMIS16.
Continuous variables were summarized by means and standard deviations while counts and percentages were used for categorical variables. For each PRO domain score, mixed linear models were used to predict changes in mean scores over time (baseline, 3 months, 6 months, and 1 year after enrollment) while accounting for within-subject correlations over time, including all available data from each patient, and considering missing data ignorable conditional on the observed data.
Survival probabilities were estimated using the Kaplan–Meier method. Age, gender, race, stage, AL subtype, number of organs, and type of organ involvement were analyzed as predictors for 1-year survival. Cox proportional hazards regression models were used to assess the relationship between these predictors and survival We then conducted an adjusted survival analysis by introducing each PRO domain as a continuous variable with the significant factors from the survival analysis. A p-value of <0.05 was considered statistically significant.
For responsiveness analysis, we used linear regression to calculate the estimate of PRO domain score change corresponding to changes in NT-proBNP. Further, to anchor change in PROs with clinical change, we evaluated the relationship between the percentage change in NT-proBNP and the PRO domain score change. Based on the 2012 criteria for response to treatment17, a 30% and >300 ng/L decrease in NT proBNP was considered as a cardiac NT-proBNP response and 30% and >300 ng/L increase as cardiac NT-proBNP progression.
Statistical analysis was conducted using SAS v9 (Cary, NC).
Of 61 patients enrolled between 2/1/2016 to 4/15/2019, 1 patient was ineligible based on inclusion criteria (the diagnosis of AL amyloidosis was not confirmed) and 1 patient had localized instead of systemic amyloidosis. Among the remaining 59 patients, 44 patients completed the survey prior to starting chemotherapy; of the 15 patients who completed the survey after starting treatment, 11 were within 1 month (including 7 within 7 days and 4 between 7–14 days) and of 4 patients who completed the survey more than a month after starting treatment, 2 were between 1–2 months and 2 between 2–3 months. The baseline characteristics are shown in Table 1. The median follow-up of survivors was 14.4 (range, 2.5–29.8) months. Eighteen patients (31%) underwent an autologous stem cell transplant during the study period including 6 within 3 months. Fifteen patients (25%) died in the first year. An additional 7 patients (12%) were lost to follow-up.
Significant change in patient-reported functioning occurs in the first year after diagnosis
At 3 months, data were available in 43 patients, at 6 months in 41 patients, and at 1-year in 37 patients (Supplemental Table 1). Table 2 and Fig. 1 show changes in predicted PRO scores over time. Supplemental Table 2 shows the changes in the scores by each time point. Analysis showed significant worsening in multiple PRO domains from baseline to 3 months. A change of ≥3 points was seen in the Global Physical Health Summary (p-value 0.02) and Global Mental Health Summary (p-value 0.005) scores, as well as the individual domains measuring physical function (p-value 0.003) and fatigue (p-value 0.03). Additionally, the domain measuring social roles also showed a statistically significant worsening though the change was <3 points (p-value 0.04). The only PRO that improved from baseline to 3 months was anxiety (p-value 0.04); however, that change was 2.1 points, which did not meet our pre-specified threshold for clinically meaningful change. From 3 months to 6 months, PROs remained relatively stable, though the overall change was toward improvement (Fig. 1). Physical function improved 3.1 points from 3 to 6 months (p-value 0.04). At 1 year, PROs were improved compared to the lowest decline at 3 months. This was most evident in magnitude and significance for the Global Physical Health Summary score, which improved from 3 months to 1 year by +3.1 points (p 0.03), Fatigue scores decreased, implying less fatigue, by −3.9 points (p-value 0.02) and Physical Function scores improved by +3.5 points (p-value 0.02). Table 3 shows the proportion of patients with worse, stable, and improved scores (defined as ≥3 change) for Global Physical Health Summary score, Physical Function, and Fatigue.
One-year survival was 73.5% (95% confidence interval, 59.8–83.2%). Survival analysis (Table 4) showed that stage and number of organs involved significantly predicted 1-year mortality. After adjusting for stage, all domains remained significant except Pain Interference and Sleep Disturbance. Lower Global Physical and Mental Health Summary scores, Physical Function and Ability to Participate in Social Roles and Activities were associated with higher risk of mortality, while increased scores in Anxiety, Depression, and Fatigue were associated with higher risk of 1-year mortality (Table 5).
Responsiveness of PROMIS related to NT-proBNP changes and hematologic response at 12 months
NT-proBNP was available in 33 patients at 6 months and 30 patients at 12 months. For every 1000 pg/ml increase in NT-proBNP, a significantly larger worsening was seen in Global Mental Health Summary, Depression, and Physical Function scores (Table 6). Figure 2 shows the change in PRO domain score by NT-proBNP response and progression. The direction of PRO changes was concordant with NT-proBNP changes and most evident with domains measuring mental function including the Global Mental Health Summary score, Anxiety, Depression, and Sleep Interference. Physical Function and Ability to Participate in Social Roles and Activities showed a large increase with NT-proBNP response while Fatigue showed a modest improvement with NT-proBNP response. The hematologic response was available in 37 patients at 12 months and was shown as very good partial response (VGPR), N = 22 or not, N = 15. Patients with a VGPR/ > had improved function compared to patients without VGPR across all scores (Supplemental Table 3).
Our work examining PROs in systemic AL amyloidosis patients in the first year after diagnosis found that there is significant worsening in PROs in the first 3 months after diagnosis, i.e. during early treatment, improvement in PROs by 1-year; notably in physical function, fatigue, and the Global Physical Summary score, and significant association between baseline PROs with 1-year mortality even after adjusting for amyloid stage. Additionally, PROMIS is responsiveness to clinical change as measured by NT-proBNP response or progression.
The most impaired patient functioning areas at baseline included the global physical health, anxiety, depression, fatigue, physical function, and social roles. We noted a significant improvement in anxiety from diagnosis to 3 months, though the change in score may not be clinically relevant given the <3-point change. Previous work has shown that the anxiety and uncertainty about symptoms that are often associated with a delayed diagnosis may improve after receiving a diagnosis18,19. Every other PRO score showed worsening at 3 months. This is consistent with the natural history of AL amyloidosis where a significant proportion of patients experience clinical worsening including the risk of sudden death within the first 3 months after diagnosis2. After surviving to the first year after diagnosis, AL patients have a better prognosis with a plateau in survival4. We saw similar trends in PRO changes during the first year. The largest change in score as well as most statistically significant changes were seen in PROMIS domains that contributed to the physical health aspect of quality of life- including the Global Physical Health Summary score, Physical Function, Fatigue domains, and less change in Ability to Participate in Social Roles and Activities. Thus, these former domains could be considered the most important to track when using PROs in amyloid clinical research. PROMIS domains measuring mental health, including the Global Mental Health Summary Score, anxiety, depression, and sleep disturbance showed responsiveness to NT-proBNP response at 1-year. Collectively, these results show that, at a minimum, the 10-question PROMIS Global Health scale which provides the Global Physical and Mental Health Summary scores can show measurable changes through the course of the first year to study PRO improvement (or worsening). Further, for a more comprehensive look, the specific domains of interest include those measuring physical function, fatigue, social roles, anxiety, and depression can be measured over time and used to complement other biomarkers of response or progression.
Stage at diagnosis is the most powerful prognostic predictor of 1-year mortality in AL amyloidosis4. Thus, when we studied the impact of baseline PROMIS scores on 1 year outcome, we adjusted the model for stage. Our results show that baseline PROs can be helpful in predicting 1-year (early) mortality in AL amyloidosis even after adjusting for stage at diagnosis. The Boston University Amyloid Center has previously shown health-related quality of life to be of prognostic value with worse pre-treatment physical component scores on the SF-36 associated with a greater risk of mortality in patients who received transplant or non-transplant chemotherapy20,21. These analyses have shown that the pre-treatment physical component score of the SF-36 can predict post-treatment mortality after adjusting for the number of organs affected21. Similarly, the Mayo Clinic has shown that a 3-question screen of patient-reported fatigue, pain, and quality of life can be useful in AL amyloidosis with fatigue independently predicting survival in addition to stage and transplant status22. Our results, which build on these previous important studies, elucidate the most important domains that predict 1-year AL survival. In addition to global physical and mental health, PRO domains measuring anxiety, depression, fatigue, physical function, and social roles at diagnosis can predict 1-year mortality after adjusting for stage of disease. We hypothesize that stage, which includes a measure of degree of cardiac involvement, may well adjust for physical domains (e.g. physical function, fatigue) but other domains such as depression and social roles add additional prognostic information that may not be encompassed within the staging system.
In prior analyses of PROs in AL amyloidosis23,24, the domain measuring social roles (e.g. Ability to Participate in Social Roles and Activities in PROMIS, Role Physical in SF-36) has been identified as an important domain. At the time of diagnosis, this PROMIS domain was able to discriminate between not only stage of disease, but also cardiac AL involvement, number of organs involved with AL and significantly correlated with NT-proBNP >4,200 pg/ml in a receiver operating characteristic analysis23. In the current analysis, we also studied responsiveness of PROMIS to NT-proBNP response/progression at 1-year. While our results are exploratory given small numbers, we found that adverse changes in the domains measuring anxiety, depression, sleep disturbance were associated with NT-proBNP progression while NT-proBNP response was associated with improvements in physical function and anxiety. However, these results should be further explored in larger studies to assess PRO domains being responsive to change in clinical status in AL amyloidosis. The NT-proBNP is considered as an appropriate surrogate endpoint in AL amyloidosis to study change in cardiac AL10. However, in a pivotal study of a fibril-directed monoclonal antibody where NT-proBNP was used as the primary endpoint, the study failed to meet this endpoint25. Thus, the field of AL amyloidosis continues to seek better biomarkers that can serve as an appropriate endpoint to help in clinical trial design. PROs can be accepted as clinical outcomes assessment tools if they are able to meet the qualifications set by the FDA, and this has been accomplished in other hematologic diseases such as myelofibrosis26.
Limitations of our study include a relatively small sample size with loss of patients at each time point. Missing data is an issue in diseases with high mortality with loss of patients at each time point due to death; of the 37% lost at 1 year in our cohort- 25% were due to deaths and only 12% due to attrition not from death. While we used mixed linear models to impute missing PROs, this alone does not account for differences by missing due to death or missing for other reasons. Another issue that was somewhat surprising was that the early mortality of our cohort was ~26%. Early mortality of systemic AL amyloidosis is estimated to be 30–35% based on recent observational data3. Many of the patients on the current study from one of the sites were co-enrolled on a prospective clinical trial studying doxycycline which reported an early mortality of 20% at 1-year for these patients27. This may have influenced the lower early mortality in our PRO cohort study. In other oncologic settings, the routine tracking of patient-reported symptoms with team follow-up for severe symptoms has led to improved survival28, and an alternative hypothesis for the lower mortality in our study is that tracking of PROs led to better symptom management.
These data collectively highlight the importance of measuring and tracking PROs in patients with AL amyloidosis and the potential for using these patient-centered outcomes as important correlative endpoints in designing patient-centered clinical trials to complement existing organ and hematologic biomarkers of change in status. In conclusion, patients with AL amyloidosis have impaired PROs at diagnosis that worsen in the first 3 months and improve for those whose disease improves. In addition, baseline PROs are an independent predictor of one-year mortality for these patients. We conclude that PROs should be utilized consistently in AL amyloidosis to further inform providers and researcher the impact of this disease on patients’ well being.
Merlini, G. AL amyloidosis: from molecular mechanisms to targeted therapies. Hematology Am. Soc. Hematol. Educ. Program 2017(1), 1–12 (2017).
Kumar, S. K. et al. Recent improvements in survival in primary systemic amyloidosis and the importance of an early mortality risk score. Mayo Clin. Proc. 86(1), 12–18 (2011).
Muchtar, E. et al. Improved outcomes for newly diagnosed AL amyloidosis between 2000 and 2014: cracking the glass ceiling of early death. Blood 129(15), 2111–2119 (2017).
Kumar, S. et al. Revised prognostic staging system for light chain amyloidosis incorporating cardiac biomarkers and serum free light chain measurements. J. Clinical Oncol. 30(9), 989–995 (2012).
Hussain, A. S. et al. Changes in cardiac biomarkers with bortezomib treatment in patients with advanced cardiac amyloidosis. Am. J. Hematol. 90(11), E212–E213 (2015).
Kaufman, G. P. et al. Kinetics of organ response and survival following normalization of the serum free light chain ratio in AL amyloidosis. Am. J. Hematol. 90(3), 181–186 (2015).
Warsame, R. & D’Souza, A. Patient reported outcomes have arrived: a practical overview for clinicians in using patient reported outcomes in oncology. Mayo Clin. Proc. 94(11), 2291–2301 (2019).
Gotay, C. C., Kawamoto, C. T., Bottomley, A. & Efficace, F. The prognostic significance of patient-reported outcomes in cancer clinical trials. J. Clinical Oncol. 26(8), 1355–1363 (2008).
Efficace, F. et al. Prognostic value of self-reported fatigue on overall survival in patients with myelodysplastic syndromes: a multicentre, prospective, observational, cohort study. Lancet Oncol. 16(15), 1506–1514 (2015).
Merlini, G. et al. Rationale, application and clinical qualification for NT-proBNP as a surrogate end point in pivotal clinical trials in patients with AL amyloidosis. Leukemia 30(10), 1979–1986 (2016).
Dispenzieri, A. et al. Serum cardiac troponins and N-terminal pro-brain natriuretic peptide: a staging system for primary systemic amyloidosis. J. Clinical Oncol. 22(18), 3751–3757 (2004).
Hays, R. D., Bjorner, J. B., Revicki, D. A., Spritzer, K. L. & Cella, D. Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items. Qual. Life Res. 18(7), 873–880 (2009).
Chen, C. X. et al. Comparative responsiveness of the PROMIS pain interference short forms with legacy pain measures: results from three randomized clinical trials. J. Pain 20(6), 664–675 (2019).
Yost, K. J., Eton, D. T., Garcia, S. F. & Cella, D. Minimally important differences were estimated for six patient-reported outcomes measurement information system-cancer scales in advanced-stage cancer patients. J. Clinical Epidemiol. 64(5), 507–516 (2011).
Atallah, E. et al. Design and rationale for the life after stopping tyrosine kinase inhibitors (LAST) study, a prospective, single-group longitudinal study in patients with chronic myeloid leukemia. BMC Cancer 18(1), 359 (2018).
Palladini, G. et al. New criteria for response to treatment in immunoglobulin light chain amyloidosis based on free light chain measurement and cardiac biomarkers: impact on survival outcomes. J. Clinical Oncol. 30(36), 4541–4549 (2012).
Wright, N. L., Flynn, K. E., Brazauskas, R., Hari, P. & D’Souza, A. Patient-reported distress is prevalent in systemic light chain (AL) amyloidosis but not determined by severity of disease. Amyloid 25(2), 129–134 (2018).
McCausland, K. L. et al. Light chain (AL) amyloidosis: the journey to diagnosis. Patient 11(2), 207–216 (2018).
Seldin, D. C. et al. Improvement in quality of life of patients with AL amyloidosis treated with high-dose melphalan and autologous stem cell transplantation. Blood 104(6), 1888–1893 (2004).
Sanchorawala, V. et al. A longitudinal evaluation of health-related quality of life in patients with AL amyloidosis: associations with health outcomes over time. Br. J. Haematol. 179(3), 461–470 (2017).
Warsame, R. et al. Hematology patient reported symptom screen to assess quality of life for AL amyloidosis. Am. J. Hematol. 91, 435–440 (2017).
D’Souza, A., Magnus, B. E., Myers, J., Dispenzieri, A. & Flynn, K. E. The use of PROMIS patient-reported outcomes (PROs) to inform light chain (AL) amyloid disease severity at diagnosis. Amyloid 27, 111–118 (2020).
Bayliss, M., McCausland, K. L., Guthrie, S. D. & White, M. K. The burden of amyloid light chain amyloidosis on health-related quality of life. Orphanet J. Rare Dis. 12(1), 15 (2017).
Morel, T. & Cano, S. J. Measuring what matters to rare disease patients—reflections on the work by the IRDiRC taskforce on patient-centered outcome measures. Orphanet J. Rare Dis. 12(1), 171 (2017).
D’Souza, A. et al. Adjuvant doxycycline to enhance anti-amyloid effects: results from the dual phase 2 trial. EClinicalMedicine 23, 100361 (2020).
Basch, E. et al. Overall survival results of a trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment. JAMA 318(2), 197–198 (2017).
The authors gratefully acknowledge assistance from the Clinical Research Coordinators at the Mayo Clinic, Rochester and the Medical College of Wisconsin, Milwaukee in enrolling patients and data collection.
Conflict of interest
The authors report no conflict of interest. Research reported in this publication was supported by K23 HL141445, the Research and Education Program of Advancing Healthier Wisconsin and the Clinical and Translational Science Institute (CTSI) (KL2 TR001438). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This work will be presented in part at XVIIth International Symposium on Amyloidosis in September 2020.
About this article
Cite this article
D’Souza, A., Brazauskas, R., Dispenzieri, A. et al. Changes in patient-reported outcomes in light chain amyloidosis in the first year after diagnosis and relationship to NT-proBNP change. Blood Cancer J. 11, 29 (2021). https://doi.org/10.1038/s41408-021-00412-8