MétaCan
Menu
Back to cohort
Record W2054603081 · doi:10.1111/bjh.12903

Variance of pain prevalence and associated severity during the transfusion cycle of adult thalassaemia patients

2014· letter· en· W2054603081 on OpenAlexaboutno aff
Sage T. Green, Marie Martin, Dru Haines, Susan Carson, Thomas D. Coates, Olivia Oliveros, Eric Gerstenberger, Felicia Trachtenberg, Janet L. Kwiatkowski

Bibliographic record

VenueBritish Journal of Haematology · 2014
Typeletter
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Heart, Lung, and Blood InstituteNational Institutes of HealthTranslational Cancer Research NetworkNational Center for Research ResourcesHarvard Catalyst
KeywordsMedicineBlood transfusionObservational studyIncidence (geometry)ThalassemiaIneffective erythropoiesisAnemiaInternal medicinePediatricsPhysical therapyErythropoiesis

Abstract

fetched live from OpenAlex

Thalassaemia is characterized by ineffective erythropoiesis and anaemia, which can precipitate bone marrow expansion and extramedullary haematopoiesis. The mainstays of treatment are blood transfusion and chelation therapy, which can lead to an array of complications. Only recently, however, has pain been recognized as a clinical component of thalassaemia (Trachtenberg et al, 2010). Sixty-nine per cent of 265 participants in the Thalassaemia Clinical Research Network (TCRN) Thalassaemia Longitudinal Cohort reported bodily pain (Trachtenberg et al, 2010). Additionally, 34% of transfused thalassaemia patients participating in the TCRN Low Bone Mass Observational Study reported that transfusions helped reduce or eliminate their pain (Vogiatzi et al, 2009). We hypothesized that the effects of ineffective erythropoiesis are mitigated by transfusion and thus incidence of pain will vary throughout the transfusion cycle. The Assessment of Pain Survey study, conducted by the TCRN, was initiated to address increasing reports of pain. The primary aim of this substudy was to assess whether reports of pain vary over the transfusion cycle. Secondary aims were to assess whether the length of the transfusion cycle affects the level of pain and whether pain varies by pre-transfusion haemoglobin (Hb) level and reticulocyte count. The TCRN of the National Heart, Lung and Blood Institute is a clinical research network, funded by the National Institutes of Health (Appendix I). The protocol was approved by the TCRN Data and Safety Monitoring Board and by the ethical review boards of all TCRN institutions. All participants signed informed consent. Transfusion-dependent subjects (≥8 transfusions within the last 12 months) with β- thalassaemia or Hb E β-thalassaemia participating in the Assessment of Pain Survey study who reported at least mild pain in the last month as measured by Brief Pain Inventory (BPI; Cleeland, 2009) were enrolled. The BPI provides information on the intensity of pain and the degree to which pain interferes with function. It has been used previously to assess pain in osteoporotic thalassaemia patients and its use has been validated in cancer patients (Cleeland, 2009; Dworkin et al, 2005; Keller et al, 2004; Tan et al, 2004). Subjects were stratified into two cohorts: age 18–29 years vs. 30+ years. Stratification was chosen based on observation that patients aged 30+ years tend to have more pain than younger patients (Haines et al, 2013). Target enrolment was 25–35 subjects. Subjects completed a daily pain assessment during three non-consecutive transfusion cycles, separated by at least 3 months and no more than 4 months apart. Subjects were transfused according to their clinical need; cycles lasted 2–4 weeks. Transfusion cycles were not altered for participation. Daily pain was assessed using the BPI Short Form (BPI-SF) by daily telephone call provided by Interactive Performance Technologies in association with Telecare Management of Pain (Cambridge, MA, USA). The BPI-SF consists of 10 questions in which participants rate their worst, least and average pain in the past 24 h on a scale of 0–10 where 0 is ‘No pain’ and 10 is ‘Pain as bad as you can imagine’. Variation over the transfusion cycle was modelled with repeated measures logistic regression (for pain prevalence) or regression (for pain severity) of time in pain, controlling for age, sex and transfusion cycle. An autoregressive [AR(1)] variance structure was assumed. Time was measured as percentage of transfusion cycle completed and quadratic effects of time were utilized. Length of transfusion cycle, pre-transfusion Hb level and reticulocyte counts were added to the model. Repeated measures models, controlling for age, were used to test for differences in reported causes of pain between patients reporting frequent (≥50% of study days) versus infrequent pain. Thirty-two subjects enrolled, 56% were female, the mean age was 31·8 years (range, 18–55), and 59% were Caucasian. The average pre-transfusion Hb was 101 g/l (range, 73–128 g/l) and the average length of transfusion cycle was 23 d. Pain prevalence and severity increased with age (P < 0·001; Table 1). There were no significant effects of gender (P > 0·4), or differences over the three transfusion cycles (P > 0·5). Thirty-four per cent of subjects reported pain on at least 50% of study days, confirming that pain is an important problem. There was a non-significant trend towards lower prevalence of pain midway through the transfusion cycle compared to immediately pre-transfusion (31·3 vs. 42·2%, P = 0·14; Fig 1, Table 1). Pain reduction was more pronounced among subjects transfused less frequently (>4 weeks) (13·6 vs. 40·9%, P = 0·026 for effect of length of transfusion cycle; Table 1) whilst, there was no apparent variation among subjects transfused more frequently (≤2 week cycle); Table 1). As fluctuation in Hb levels is greater with longer transfusion cycles, these effects may reflect improvement in anaemia and/or ineffective erythropoiesis. Unexpectedly, prevalence of pain correlated with higher, not lower, pre-transfusion Hb (P = 0·013) and also a lower reticulocyte count (P = 0·05). Subjects transfused more frequently also reported more severe average pain compared to those with a longer transfusion cycle (3·8/10 for ≤2 week cycles vs. 0·7/10 for >4 weeks; P = 0·031 for length of cycle). Although higher Hb could contribute to pain, it is also possible that patients are transfused more frequently in response to chronic pain or other complications. Nevertheless, it is likely that pain is multifactorial. Use of pain medications/treatments varied from 25 to 35% over the transfusion cycle (15–18% for those aged 18–29 years, 35–51% aged 30+ years; 14–32% for those transfused frequently, 40–50% transfused infrequently). Furthermore, midway through the transfusion cycle, pain severity was greater among subjects with frequent pain (5·1/10 vs. 0/10, P < 0·001). Additionally, these subjects reported using pain medications more often: 75% compared to 0% of subjects without frequent pain (P < 0·001). Limitations to this pilot study must be acknowledged. The sample size was small due to the exploratory nature of this study. Additionally, we relied exclusively on pre-transfusion laboratory values. Despite these shortcomings, our work demonstrates that pain prevalence is reduced following transfusion, especially for longer transfusion cycles. Furthermore, a subset of patients experience frequent pain, which is more severe, requires more pain medication and probably impacts quality of life. Further work is needed to understand pain aetiology and develop optimal treatments. This work was supported by the following NIH-NHLBI cooperative agreements: U01-HL65232 and NIH/NCRR UL1-RR-024134 to the Children's Hospital of Philadelphia, U01-HL72291 and by Harvard Catalyst CTSC U-01RR025758 to Children's Hospital, Boston, U01-HL65233 to University Health Network Toronto General Hospital, U01-HL65239 to Children's Hospital & Research Center Oakland, U01-HL65244 and CTSC UL1-RR024996 to Weill Medical College of Cornell University, and U01-HL65238 to New England Research Institutes. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NHLBI. The authors would also like to express their gratitude to all of the thalassaemia patients who participated in this study. All the authors listed have read and approve of this submission. Their contributions are as follows: S.T.G performed data collection, assisted with analysis and authored the manuscript; M.B.M designed the study, assisted with analysis and reviewed the manuscript; D. H designed the study, assisted with analysis and reviewed the manuscript; S.C designed the study, assisted with analysis and reviewed the manuscript, T. C designed the study and reviewed the manuscript; O.O performed data collection, assisted with analysis and reviewed the manuscript; F.T and E. G performed the statistical analysis and reviewed the manuscript; J.L.K designed the study and edited the manuscript. All authors state that they have no conflict of interest. The Thalassaemia Clinical Research Network of the National Heart, Lung and Blood Institute is a clinical research network funded by the National Institutes of Health, composed of five core centres in North America, 13 clinical satellites, and a data-coordinating centre. The following institutions and researchers contributed to the Thalassaemia Clinical Research Network Assessment of Pain Substudy data reported in this paper. Children's Healthcare of Atlanta: Leann Schilling, MPH, Study Coordinator, Principal Investigator; Baylor College of Medicine: Bogden Dino, Study Coordinator; Weill Medical College of Cornell University: Dorothy Kleinert, RN, Research Nurse, Patricia Giardina, MD; The Children's Hospital of Philadelphia: Alan Cohen, MD, Janet Kwiatkowski, MD, Marie Martin, RN, Research Nurse, Principal Investigator, Sage Green, Study Coordinator; Children's Memorial Hospital, Chicago, IL: Alexis Thompson, MD, Janice Beatty, RN, Research Nurse, Diane Calamaras, RN, CPNP, Research Nurse, Pauline Hess, Study Coordinator; Children's Hospital & Research Center Oakland: Dru Haines, CPNP, Research Nurse, Principal Investigator, Olivia Oliveros, Study Coordinator, Elliott Vichinsky, MD; Children's Hospital of Los Angeles: Thomas Coates, MD, Principal Investigator, Susan Carson, RN, Research Nurse, Principal Investigator, Ani Dongelyan, Study Coordinator, Tatiana Hernandez, Study Coordinator; Toronto General Hospital, Toronto, Ontario, Canada: Nancy Oliveri, MD, Cecilia Kim, BS, Study Coordinator; NHLBI oversight: Kathryn Hassell, MD; Data Coordinating Center: New England Research Institutes: Sonja McKinlay, PhD, Principal Investigator, Lisa Virzi, RN, MS, MBA, Project Director, Felicia Trachtenberg, PhD, Senior Statistician, Eric Gerstenberger, MS, Statistician.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.203
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueBritish Journal of HaematologySame topicHemoglobinopathies and Related DisordersFrench-language works237,207