Literature DB >> 34804309

Validation of a Modified Version of the Myeloproliferative Neoplasm Symptom Assessment Form Total Symptom Score.

Blake T Langlais1, Gina L Mazza1, Heidi E Kosiorek1, Jeanne Palmer2, Ruben Mesa3, Amylou C Dueck1.   

Abstract

BACKGROUND: Patients with myeloproliferative neoplasms (MPNs) suffer from chronic and progressive symptom burden. MPN trials capturing patient-reported symptoms routinely administer the MPN Symptom Assessment Form (SAF). The MPN-10 assesses 10 of the most clinically relevant symptoms, including fatigue and generates a Total Symptom Score (TSS). The original MPN-10 included a fatigue item from the Brief Fatigue Inventory (BFI). The myelofibrosis-specific symptom assessment tool called the MFSAF v4 utilizes a fatigue item developed to be consistent with other items within the SAF. This study sought to validate a modified version of the MPN-10 TSS using the SAF fatigue item for harmonization with MFSAF v4.
METHODS: Survey data from two cohorts of patients with essential thrombocythemia, polycythemia vera, or myelofibrosis assessing MPN characteristics and symptom burden were used. RESULTS AND
CONCLUSION: BFI and SAF fatigue items were highly correlated in raw score (Pearson r = 0.88), comparable in their severity categorizations (89% agreement for severe versus non-severe) and respective contributions to the TSS (both Cronbach's alpha = 0.89). Reliability of SAF fatigue was acceptable and independently associated with known disease-related characteristics (splenomegaly, low quality-of-life, and distress). Fatigue in patients with MPNs is measured with high similarity using the SAF fatigue item within the MPN-10 in harmonization with the MFSAF v4. Copyright 2021, Langlais et al.

Entities:  

Keywords:  Brief Fatigue Inventory; MFSAF v4; MPN-10; Myeloproliferative neoplasm; Symptom Assessment Form; Total Symptom Score

Year:  2021        PMID: 34804309      PMCID: PMC8577588          DOI: 10.14740/jh914

Source DB:  PubMed          Journal:  J Hematol        ISSN: 1927-1212


Introduction

The myeloproliferative neoplasms (MPNs), including essential thrombocythemia (ET), polycythemia vera (PV), and myelofibrosis (MF), are progressive bone marrow diseases marked by chronic and often debilitating symptom burden. Hematopoietic stem cell transplantations are potentially curative measures but are generally reserved for only a small fraction of younger patients with good performance status [1]. For the remaining majority, alleviating symptom suffering, reducing clinical complications, and slowing progression are typical treatment goals in the wake of increasingly aggressive disease. Evaluation of experimental therapeutics in trials relies on patient-reported symptoms using the MPN Symptom Assessment Form (SAF) in conjunction with evaluation of treatment response [2]. The SAF assesses 18 symptoms related to MPNs scored from 0 (absent) to 10 (worst imaginable). A later rendition of the SAF, called the MPN-10, condensed the 18 items to 10 of the most clinically meaningful symptoms [3]. The Total Symptom Score (TSS) is computed by summing the MPN-10 symptom scores. Chief among the most prevalent and severe symptoms in patients with MPNs is fatigue. Though the SAF includes a fatigue item, initial deployments included an item from the Brief Fatigue Inventory (BFI), which asks, “Please rate your fatigue (weariness, tiredness) by choosing the one number that best describes your WORST level of fatigue during the past 24 hours.” [4]. Subsequently, the MFSAF v4 was developed for MF trials which included a fatigue item developed to be consistent with other items within the SAF [5]. This item asks, “During the past 24 hours, how severe was your worst fatigue (weariness, tiredness)?” This study aimed to validate a modified version of the MPN-10 which includes the SAF fatigue item to harmonize with the MFSAF v4.

Materials and Methods

Study data

Data from two prior independent surveys [6, 7] were used for this secondary analysis. Approval for each study was given by the Mayo Clinic Institutional Review Board and surveys were executed in compliance with applicable ethical standards of the Health Insurance Portability and Accountability Act and the Helsinki Declaration. For both surveys, participant consent was provided and survey responses were anonymous. Links to the respective surveys were promoted via multiple MPN-related websites and their affiliated Facebook pages.

Study 1: BFI and SAF fatigue comparison sample

To validate the harmonized SAF fatigue item within the MPN-10, data were used from a randomized survey deployed in 2017 designed to test measure equivalence, validity, and reliability for the MFSAF v4. Patients completed surveys in one of eight possible, randomly assigned, ordering sequences. Sequences in which patients completed both the BFI and SAF fatigue items in addition to the remainder of the MPN-10 items are included in this current study for comparison of BFI and SAF fatigue. Sequences in which patients completed the SAF fatigue item twice are included here as a comparator for test/retest reliability. The recall period throughout this survey was the last 24 h.

Study 2: SAF fatigue implementation sample

To evaluate the relationship between known MPN-disease corelates with this modified version of the MPN-10, data were used from a survey assessing the impact of the coronavirus disease 2019 (COVID-19) pandemic on patient care during June of 2020. SAF fatigue was used in place of BFI fatigue to construct the MPN-10. The recall period throughout this survey was the past week.

Statistical analysis

Within study 1, agreement between BFI and SAF fatigue scores, and twice administered SAF fatigue scores, were assessed using Pearson correlations (r) and Bland-Altman methods. Fatigue was categorized as severe (≥ 7) versus non-severe (< 7); and absent (0), mild (1 - 3), moderate (4 - 6), and severe (7 - 10). Absolute agreement between categories was computed. MPN-10 TSS was computed using BFI and SAF fatigue items, separately, and Pearson correlation was computed between the TSS. Internal consistency of the TSS was assessed using Cronbach’s alpha. Order effects were evaluated using paired t-tests. Within study 2, known-groups validity was evaluated by comparing SAF fatigue between patients with and without reported splenomegaly using a t-test [8]. Convergent validity was assessed using Pearson correlation between SAF fatigue and overall quality-of-life measured by a numeric rating scale (0 - 10) [9] and distress measured by the National Comprehensive Cancer Network Distress Thermometer [10]. Means and 95% confidence intervals (CIs) were reported. P values less than 0.05 were considered statistically significant.

Results and Discussion

Study 1

There were 464 consenting adults with ET (n = 165), PV (n = 196), or MF (n = 103). Mean age was 58 years (range 27 - 90 years), 371 (80%) were female, and 493 (96%) were White. After randomization, 224 (48%) completed the BFI and SAF items and 240 (52%) completed the SAF items twice. Among those completing BFI and SAF items, 52% (116/224) received the BFI item first and 48% (108/224) received the SAF item first. There was no difference between first and second fatigue scores (mean difference (first score minus second) = 0.01; CI: -0.16, 0.19). The BFI and SAF fatigue scores were highly correlated (Fig. 1a; r = 0.88, P < 0.001) and severity categorization agreement was high (89% (199/224) for severe versus non-severe; 74% (165/224) for overall categories). Bland-Altman methods indicate the BFI and SAF fatigue items have high agreement with no evidence of directional bias (regression slope = -0.03; P = 0.33) and only clinically insignificant overall bias (mean difference = 0.20; CI: 0.03, 0.37; Fig. 1b). Computing the scale score with BFI and SAF separately resulted in nearly identical TSS (r = 0.997, P < 0.001) and equivalent internal consistency (both Cronbach’s alpha = 0.89). Among those completing the SAF item twice, SAF fatigue scores were highly correlated (Fig. 1c; r = 0.89, P < 0.001) and severity categorization agreement was high (87% (208/240) for severe versus non-severe; 75% (181/240) for overall categories), metrics which mirrored the BFI/SAF comparisons. Bland-Altman methods also showed strong indication of test/retest reliability with no evidence of directional bias (regression slope = -0.01, P = 0.77) and only clinically insignificant overall bias (mean difference (first score minus second) = 0.27; CI: 0.10, 0.43; Fig. 1d).
Figure 1

Scatter and Bland-Altman plots of the BFI/SAF fatigue comparison and SAF fatigue test/retest data. (a) BFI/SAF comparison: Jittered scatter plot of paired scores. (b) BFI/SAF comparison: Jittered Bland-Altman plot of paired scores. (c) Test/retest: Jittered scatter plot of paired SAF1 and SAF2. (d) Test/retest: Jittered Bland-Altman plot of paired SAF1 and SAF2. SAF: Symptom Assessment Form; BFI: Brief Fatigue Inventory; SAF1: first administration of SAF fatigue question; SAF2: second administration of SAF fatigue question; SD: standard deviation.

Scatter and Bland-Altman plots of the BFI/SAF fatigue comparison and SAF fatigue test/retest data. (a) BFI/SAF comparison: Jittered scatter plot of paired scores. (b) BFI/SAF comparison: Jittered Bland-Altman plot of paired scores. (c) Test/retest: Jittered scatter plot of paired SAF1 and SAF2. (d) Test/retest: Jittered Bland-Altman plot of paired SAF1 and SAF2. SAF: Symptom Assessment Form; BFI: Brief Fatigue Inventory; SAF1: first administration of SAF fatigue question; SAF2: second administration of SAF fatigue question; SD: standard deviation.

Study 2

There were 1,129 consenting adults with ET (n = 522), PV (n = 387), or MF (n = 220). Mean age was 61 years (range 21 - 93 years), 848 (75%) were female, and 1,074 (95%) were White. Known-groups analysis showed those who reported splenomegaly reported higher MPN-10 TSS (computed with SAF fatigue) than those without (n = 291 and 602, respectively; mean difference = 7.7; CI: 5.3, 10.0). Those with higher MPN-10 TSS reported lower quality-of-life scores (r = -0.50, P < 0.001) and higher levels of distress (r = 0.41, P < 0.001). Fatigue is a key disease-related symptom among patients with MPNs [11]. Measuring fatigue within the MPN-10 is essential for characterizing symptomatic burden [8, 12]. As noted by Gwaltney et al, the SAF fatigue item was modeled after the BFI fatigue item. The BFI and SAF versions evaluating fatigue are very similar in wording. As such, it should be unsurprising that the results presented here support BFI and SAF fatigue items being highly comparable in raw score, severity categorizations, and in their respective contributions to the MPN-10 TSS. Further, the test/retest results of the SAF fatigue item support acceptable reliability. When implementing the SAF fatigue item in an independent, subsequent survey of MPN patients, the modified MPN-10 TSS was associated with known disease-related characteristics and other patient-reported outcomes demonstrating construct validity. Notwithstanding, there are limitations to data from anonymous internet-based surveys such as volunteer bias. For example, both surveys asked about MPN diagnosis and splenomegaly without confirmatory clinical data. However, it is generally accepted that MPN patients have good comprehension of their diagnosis and MPN-related health status. Also, participants from both surveys were disproportionally female (80% and 75% for studies 1 and 2, respectively). Though the general MPN patient population is roughly 53% female [13], a bias towards female survey participation is common among other independent surveys of patients with MPNs [1, 14-18]. This may be a function of the survey dissemination method using internet platforms with disproportionally female users, an unmeasured gender survey-participation bias phenomenon, or some other uncontrolled mechanism. Future internet-based MPN patient surveys should aim to reduce this participation bias during the survey design phase. Ultimately, we believe these limitations do not jeopardize these findings. Disease-related fatigue is measured equivalently using the SAF fatigue item within the MPN-10 in harmonization with the MFSAF v4.
  16 in total

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Authors:  Jimmie C Holland; Barry D Bultz
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Authors:  Holly Geyer; Ruben A Mesa
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Journal:  Cancer       Date:  2007-01-01       Impact factor: 6.860

4.  Quality of life and symptom burden among myeloproliferative neoplasm patients: do symptoms impact quality of life?

Authors:  Blake T Langlais; Holly Geyer; Robyn Scherber; Ruben A Mesa; Amylou C Dueck
Journal:  Leuk Lymphoma       Date:  2018-07-22

5.  Myeloproliferative neoplasm (MPN) symptom assessment form total symptom score: prospective international assessment of an abbreviated symptom burden scoring system among patients with MPNs.

Authors:  Robyn M Emanuel; Amylou C Dueck; Holly L Geyer; Jean-Jacques Kiladjian; Stefanie Slot; Sonja Zweegman; Peter A W te Boekhorst; Suzan Commandeur; Harry C Schouten; Federico Sackmann; Ana Kerguelen Fuentes; Dolores Hernández-Maraver; Heike L Pahl; Martin Griesshammer; Frank Stegelmann; Konstanze Doehner; Thomas Lehmann; Karin Bonatz; Andreas Reiter; Francoise Boyer; Gabriel Etienne; Jean-Christophe Ianotto; Dana Ranta; Lydia Roy; Jean-Yves Cahn; Claire N Harrison; Deepti Radia; Pablo Muxi; Norman Maldonado; Carlos Besses; Francisco Cervantes; Peter L Johansson; Tiziano Barbui; Giovanni Barosi; Alessandro M Vannucchi; Francesco Passamonti; Bjorn Andreasson; Maria L Ferrari; Maria L Ferarri; Alessandro Rambaldi; Jan Samuelsson; Gunnar Birgegard; Ayalew Tefferi; Ruben A Mesa
Journal:  J Clin Oncol       Date:  2012-10-15       Impact factor: 44.544

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Authors:  Robyn M Scherber; Heidi E Kosiorek; Zhenya Senyak; Amylou C Dueck; Matthew M Clark; Michael A Boxer; Holly L Geyer; Archie McCallister; Mary Cotter; Barbara Van Husen; Claire N Harrison; Ruben A Mesa
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Authors:  Holly L Geyer; Bjorn Andreasson; Heidi E Kosiorek; Amylou C Dueck; Robyn M Scherber; Kari A Martin; Kristina A Butler; Claire N Harrison; Deepti H Radia; Francisco Cervantes; Jean-Jacques Kiladjian; Andreas Reiter; Gunnar Birgegard; Francesco Passamonti; Zhenya Senyak; Alessandro M Vannucchi; Chiara Paoli; Zhijian Xiao; Jan Samuelsson; Ruben A Mesa
Journal:  Cancer       Date:  2016-04-12       Impact factor: 6.860

9.  Depressive symptoms and myeloproliferative neoplasms: Understanding the confounding factor in a complex condition.

Authors:  Leslie Padrnos; Robyn Scherber; Holly Geyer; Blake T Langlais; Amylou C Dueck; Heidi E Kosiorek; Zhenya Senyak; Matthew Clark; Michael Boxer; Mary Cotter; Claire Harrison; Cynthia Stonnington; Yonas Geda; Ruben Mesa
Journal:  Cancer Med       Date:  2020-09-25       Impact factor: 4.452

10.  Tobacco use in the Myeloproliferative neoplasms: symptom burden, patient opinions, and care.

Authors:  Sarah F Christensen; Robyn M Scherber; Gina L Mazza; Amylou C Dueck; Nana Brochmann; Christen L Andersen; Hans C Hasselbalch; Ruben A Mesa; Holly L Geyer
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