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BACKGROUND: Little is known about the issues low back pain patients take into account when deciding their satisfaction with care, the importance placed on such satisfaction, or the factors they consider when assessing their overall improvement. OBJECTIVE: The purpose of this study was to explore these issues and to assess the feasibility of implementing qualitative research methods within a clinical trial. METHODS: Study participants were volunteers taking part in a randomized clinical pilot study comparing nonsurgical treatments for sciatica. Face-to-face interviews were conducted, transcribed, and analyzed using content analysis. RESULTS: All 31 individuals who participated in the pilot study were interviewed. When asked which issues they considered when deciding their satisfaction with care, the most frequently identified themes were change in pain, personnel, and the treatment experience. When assessing their overall improvement, all participants considered whether their pain had changed. In response to the question asking participants which outcomes they considered to be most important, severity of pain and quality of life were most commonly cited. CONCLUSION: This study demonstrated that a 'mixed methods' approach using qualitative research methods within a clinical trial is not only feasible but can provide interesting and useful information for trial interpretation and future study design. By providing insight to the multidimensional nature of patients' beliefs and perceptions, this technique may not only shape but also redefine the focus of patient-oriented research and health care for low back pain conditions. [ABSTRACT FROM AUTHOR]

When optimizing transplants, clinical decision-makers consider HLA-A, -B, -C, -DRB1 (8 matched alleles out of 8), and sometimes HLA-DQB1 (10 out of 10) matching between the patient and donor. HLA-DQ is a heterodimer formed by the β chain product of HLA-DQB1 and an α chain product of HLA-DQA1. In addition to molecules defined by the parentally inherited cis haplotypes, α-β trans-dimerization is possible between certain alleles, leading to unique molecules and a potential source of mismatched molecules. Recently, researchers uncovered that clinical outcome after HLA-DQB1-mismatched unrelated donor HCT depends on the total number of HLA-DQ molecule mismatches and the specific α-β heterodimer mismatch. Our objective in this study is to develop an automated tool for analyzing HLA-DQ heterodimer data and validating it through numerous datasets and analyses. By doing so, we provide an HLA-DQ heterodimer tool for DQα-DQβ trans-heterodimer evaluation, HLA-DQ imputation, and HLA-DQ-featured source selection to the transplant field. In our study, we leverage 352,148 high-confidence, statistically phased (via a modified expectation-maximization algorithm) HLA-DRB1∼DQA1∼DQB1 haplotypes, 1,052 pedigree-phased HLA-DQA1∼DQB1 haplotypes, and 13,663 historical transplants to characterize HLA-DQ heterodimers data. Using our developed QLASSy (HLA-DQA1 and HLA-DQB1 Heterodimers Assessment) tool, we first assessed the data quality of HLA-DQ heterodimers in our data for trans-dimers, missing HLA-DQA1 typing, and unexpected HLA-DQA1 and HLA-DQB1 combinations. Since trans-dimers enable up to four unique HLA-DQ molecules in individuals, we provide in-silico validations for 99.7% of 275 unique trans-dimers generated by 176,074 U.S. donors with HLA-DQA1 and HLA-DQB1 data. Many individuals lack HLA-DQA1 typing, so we developed and validated high-confidence HLA-DQ annotation imputation via HLA-DRB1 with >99% correct predictions in 23,698 individuals. A select few individuals displayed unexpected HLA-DQ combinations. We revisited the typing of 61 donors with unexpected HLA-DQ combinations based on their HLA-DQA1 and HLA-DQB1 typing and corrected 22 out of 61 (36%) cases of donors through data review or retyping and used imputation to resolve unexpected combinations. After verifying the data quality of our datasets, we analyzed our datasets further: we explored the frequencies of observed HLA-DQ combinations to compare HLA-DQ across populations (for instance, we found more high-risk molecules in Asian/Pacific Islander and Black/African American populations), demonstrated the effect of HLA-DQA1 and HLA-DQB1 mismatching on HLA-DQ molecular mismatches, and highlighted where donor selections could be improved at the time of search for historical transplants with this new HLA-DQ information (where 51.9% of G2-mismatched transplants had lower-risk, G2-matched alternatives). We encapsulated our findings into a tool that imputes missing HLA-DQA1 as needed, annotates HLA-DQ (mis)matches, and highlights other important HLA-DQ data to consider for the present and future. Altogether, these valuable datasets, analyses, and a culminating tool serve as actionable resources to enhance donor selection and improve patient outcomes., (Copyright © 2024 The American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc. All rights reserved.)

Many popular survival models rely on restrictive parametric, or semiparametric, assumptions that could provide erroneous predictions when the effects of covariates are complex. Modern advances in computational hardware have led to an increasing interest in flexible Bayesian nonparametric methods for time-to-event data such as Bayesian additive regression trees (BART). We propose a novel approach that we call nonparametric failure time (NFT) BART in order to increase the flexibility beyond accelerated failure time (AFT) and proportional hazard models. NFT BART has three key features: (1) a BART prior for the mean function of the event time logarithm; (2) a heteroskedastic BART prior to deduce a covariate-dependent variance function; and (3) a flexible nonparametric error distribution using Dirichlet process mixtures (DPM). Our proposed approach widens the scope of hazard shapes including nonproportional hazards, can be scaled up to large sample sizes, naturally provides estimates of uncertainty via the posterior and can be seamlessly employed for variable selection. We provide convenient, user-friendly, computer software that is freely available as a reference implementation. Simulations demonstrate that NFT BART maintains excellent performance for survival prediction especially when AFT assumptions are violated by heteroskedasticity. We illustrate the proposed approach on a study examining predictors for mortality risk in patients undergoing hematopoietic stem cell transplant (HSCT) for blood-borne cancer, where heteroskedasticity and nonproportional hazards are likely present., (© 2023 The International Biometric Society.)

HLA-DP is a classic transplantation antigen that mediates alloreactivity through T-cell epitope (TCE) diversity and expression levels. A current challenge is to integrate these functional features into the prospective selection of unrelated donor candidates for transplantation. Genetically, HLA-DPB1 exon 2 defines the permissive and nonpermissive TCE groups, and exons 2 and 3 (in linkage with rs9277534) indicate low- and high-expression allotypes. In this study, we analyzed 356 272 exon 2-exon 3-phased sequences from individuals across 5 self-identified race and ethnicity categories: White, Hispanic, Asian or Pacific Islander, Black or African American, and American Indian or Alaskan Native. This sequence data set revealed the complex relationship between TCE and expression models and the importance of exon 3 sequence data. We also studied archived donor search lists for 2545 patients who underwent transplantation from an HLA-11/12 unrelated donor mismatched for a single HLA-DPB1 allele. Depending on the order in which the TCE and expression criteria were considered, some patients had different TCE- and expression-favorable donors. In addition, this data set revealed that many expression-favorable alternatives existed in the search lists. To improve the selection of candidate donors, we provide, disseminate, and automate our findings through our multifaceted tool called Expression of HLA-DP Assessment Tool, consisting of a public web application, Python package, and analysis pipeline., (© 2023 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.)

The following is The John A. Sweaney Lecture delivered by Dr Michele Maiers at the biannual Congress of the World Federation of Chiropractic that was held virtually on September 25, 2021., (© 2022 by National University of Health Sciences.)

Sequence variation in the HLA-B gene is critically linked to differential immune responses. A dimorphism at -21 of HLA-B exon 1 gives rise to leader peptides that are markers for risk of acute graft-versus-host disease, relapse, and mortality after unrelated donor and cord blood transplantation. To optimize the selection of stem cell transplant sources based on the HLA-B leader, an HLA-BLeader Assessment Tool (BLEAT) was developed to automate the assignment of leader genotypes, define HLA-B leader match statuses, and rank order candidate stem cell sources according to clinical risk. The base cohort consisted of 9 417 614 registered donors from the Be The Match Registry with HLA-B typing. Among these donors, the performance of BLEAT was assessed in 1 098 358 donors with sequence data for HLA-B exon 1 (2 196 716 haplotypes). The accuracy of leader assignment was then assessed in a second cohort of 1259 patients and their unrelated transplant donors. We furthermore established the frequencies of HLA-B leader genotype (MM, MT, TT) representations in broad racial categories in the 9.42 million donors. BLEAT has direct applications for the selection of optimal stem cell sources for transplantation and broad utility in basic and clinical research in pharmacogenomics, vaccine development, and cancer and infectious disease studies of human populations., (© 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.)

Purpose: Donor selection practices for matched unrelated donor (MUD) hematopoietic cell transplantation (HCT) vary, and the impact of optimizing donor selection in a patient-specific way using modern machine learning (ML) models has not been studied., Methods: We trained a Bayesian ML model in 10,318 patients who underwent MUD HCT from 1999 to 2014 to provide patient- and donor-specific predictions of clinically severe (grade 3 or 4) acute graft-versus-host disease or death by day 180. The model was validated in 3,501 patients from 2015 to 2016 with archived records of potential donors at search. Donor selection optimizing predicted outcomes was implemented over either an unlimited donor pool or the donors in the search archives. Posterior mean differences in outcomes from optimal donor selection versus actual practice were summarized per patient and across the population with 95% intervals., Results: Event rates were 33% (training) and 37% (validation). Among donor features, only age affected outcomes, with the effect consistent regardless of patient features. The median (interquartile range) difference in age between the youngest donor at search and the selected donor was 6 (1-10) years, whereas the number of donors per patient younger than the selected donor was 6 (1-36). Fourteen percent of the validation data set had an approximate 5% absolute reduction in event rates from selecting the youngest donor at search versus the actual donor used, leading to an absolute population reduction of 1% (95% interval, 0 to 3)., Conclusion: We confirmed the singular importance of selecting the youngest available MUD, irrespective of patient features, identified potential for improved HCT outcomes by selecting a younger MUD, and demonstrated use of novel ML models transferable to optimize other complex treatment decisions in a patient-specific way., Competing Interests: Brent R. LoganConsulting or Advisory Role: Daiichi Sankyo, Enlivex Therapeutics Ltd, Gamida Cell Bronwen E. ShawHonoraria: TherakosConsulting or Advisory Role: OrcabioNo other potential conflicts of interest were reported.

Background: The success of unrelated haemopoietic cell transplantation (HCT) is limited by graft-versus-host disease (GVHD), which is the main post-transplantation challenge when HLA-matched donors are unavailable. A sequence dimorphism in exon 1 of HLA-B gives rise to leader peptides containing methionine (Met; M) or threonine (Thr; T), which differentially influence natural killer and T-cell alloresponses. The main aim of the study was to evaluate the role of the leader dimorphism in GVHD after HLA-B-mismatched unrelated HCT., Methods: We did a retrospective cohort study of 33 982 patients who received an unrelated HCT done in Australia, Europe, Japan, North America, and the UK between Jan 1, 1988, and Dec 31, 2016. Data were contributed by participants of the International Histocompatibility Working Group in Hematopoietic Cell Transplantation. All cases were included and there were no exclusion criteria. Multivariate regression models were used to assess risks associated with HLA-A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 mismatching. Among the 33 982 transplantations, the risks of GVHD associated with HLA-B M and T leaders were established in 17 100 (50·3%) HLA-matched and 1457 (4·3%) single HLA-B-mismatched transplantations using multivariate regression models. Leader frequencies were defined in 2 004 742 BeTheMatch US registry donors., Findings: Between Jan 20, 2017, and March 11, 2019, we assessed 33 982 HCTs using multivariate regression models for the role of HLA mismatching on outcome. Median follow-up was 1841 days (IQR 909-2963). Mortality and GVHD increased with increasing numbers of HLA mismatches. A single HLA-B mismatch increased grade 3-4 acute GVHD (odds ratio [OR] 1·89, 95% CI 1·53-2·33; p<0·0001). Among the single HLA-B-mismatched transplantations, acute GVHD risk was higher with leader mismatching than with leader matching (OR 1·73, 1·02-2·94; p=0·042 for grade 2-4) and with an M leader shared allotype compared with a T leader shared allotype (OR 1·98, 1·39-2·81; p=0·0001 for grade 3-4). The preferred HLA-B-mismatched donor is leader-matched and shares a T leader allotype. The majority (1 836 939 [91·6%]) of the 2 004 742 US registry donors have the TT or MT genotype., Interpretation: The HLA-B leader informs GVHD risk after HLA-B-mismatched unrelated HCT and differentiates high-risk HLA-B mismatches from those with lower risk. The leader of the matched allotype could be considered to be as important as the leader of the mismatched allotype for GVHD. Prospective identification of leader-matched donors is feasible for most patients in need of a HCT, and could lower GVHD and increase availability of HCT therapy. These findings are being independently validated and warrant further research in prospective trials., Funding: The National Institutes of Health, USA., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Objectives: Transgender individuals commonly experience barriers to quality health care and may suffer from unique musculoskeletal complaints. Although these needs are often inadequately addressed within the health care system, they could be attended to by the chiropractic community. This narrative review describes best practices for delivering culturally sensitive care to transgender patients within the context of chiropractic offices., Methods: A literature search generated peer-reviewed material on culturally competent care of the transgender community. Google Scholar and trans-health RSS feeds on social media were also searched to find relevant gray literature. Information pertinent to a chiropractic practice was identified and summarized., Results: Contemporary definitions of transgender, gender identity, and sexual orientation provide a framework for culturally sensitive language and clinic culture. Small changes in record keeping and office procedures can contribute to a more inclusive environment for transgender patients and improve a chiropractor's ability to collect important health history information. Special considerations during a musculoskeletal examination may be necessary to properly account for medical and nonmedical practices transgender patients may use to express their gender. Chiropractors should be aware of health care and social and advocacy resources for transgender individuals and recommend them to patients who may need additional support., Conclusions: Small yet intentional modifications within the health care encounter can enable chiropractors to improve the health and well-being of transgender individuals and communities.

In this paper we consider a problem from hematopoietic cell transplant (HCT) studies where there is interest on assessing the effect of haplotype match for donor and patient on the cumulative incidence function for a right censored competing risks data. For the HCT study, donor's and patient's genotype are fully observed and matched but their haplotypes are missing. In this paper we describe how to deal with missing covariates of each individual for competing risks data. We suggest a procedure for estimating the cumulative incidence functions for a flexible class of regression models when there are missing data, and establish the large sample properties. Small sample properties are investigated using simulations in a setting that mimics the motivating haplotype matching problem. The proposed approach is then applied to the HCT study.

Background: For the treatment of chronic back pain, it has been theorized that integrative care plans can lead to better outcomes than those achieved by monodisciplinary care alone, especially when using a collaborative, interdisciplinary, and non-hierarchical team approach. This paper describes the use of a care pathway designed to guide treatment by an integrative group of providers within a randomized controlled trial., Methods: A clinical care pathway was used by a multidisciplinary group of providers, which included acupuncturists, chiropractors, cognitive behavioral therapists, exercise therapists, massage therapists and primary care physicians. Treatment recommendations were based on an evidence-informed practice model, and reached by group consensus. Research study participants were empowered to select one of the treatment recommendations proposed by the integrative group. Common principles and benchmarks were established to guide treatment management throughout the study., Results: Thirteen providers representing 5 healthcare professions collaborated to provide integrative care to study participants. On average, 3 to 4 treatment plans, each consisting of 2 to 3 modalities, were recommended to study participants. Exercise, massage, and acupuncture were both most commonly recommended by the team and selected by study participants. Changes to care commonly incorporated cognitive behavioral therapy into treatment plans., Conclusion: This clinical care pathway was a useful tool for the consistent application of evidence-based care for low back pain in the context of an integrative setting., Trial Registration: ClinicalTrials.gov NCT00567333.

Background: Low back pain (LBP) is a prevalent and costly condition in the United States. Evidence suggests there is no one treatment which is best for all patients, but instead several viable treatment options. Additionally, multidisciplinary management of LBP may be more effective than monodisciplinary care. An integrative model that includes both complementary and alternative medicine (CAM) and conventional therapies, while also incorporating patient choice, has yet to be tested for chronic LBP.The primary aim of this study is to determine the relative clinical effectiveness of 1) monodisciplinary chiropractic care and 2) multidisciplinary integrative care in 200 adults with non-acute LBP, in both the short-term (after 12 weeks) and long-term (after 52 weeks). The primary outcome measure is patient-rated back pain. Secondary aims compare the treatment approaches in terms of frequency of symptoms, low back disability, fear avoidance, self-efficacy, general health status, improvement, satisfaction, work loss, medication use, lumbar dynamic motion, and torso muscle endurance. Patients' and providers' perceptions of treatment will be described using qualitative methods, and cost-effectiveness and cost utility will be assessed., Methods and Design: This paper describes the design of a randomized clinical trial (RCT), with cost-effectiveness and qualitative studies conducted alongside the RCT. Two hundred participants ages 18 and older are being recruited and randomized to one of two 12-week treatment interventions. Patient-rated outcome measures are collected via self-report questionnaires at baseline, and at 4, 12, 26, and 52 weeks post-randomization. Objective outcome measures are assessed at baseline and 12 weeks by examiners blinded to treatment assignment. Health care cost data is collected by self-report questionnaires and treatment records during the intervention phase and by monthly phone interviews thereafter. Qualitative interviews, using a semi-structured format, are conducted with patients at the end of the 12-week treatment period and also with providers at the end of the trial., Discussion: This mixed-methods randomized clinical trial assesses clinical effectiveness, cost-effectiveness, and patients' and providers' perceptions of care, in treating non-acute LBP through evidence-based individualized care delivered by monodisciplinary or multidisciplinary care teams., Trial Registration: ClinicalTrials.gov NCT00567333.

Background: Low back pain (LBP) and neck pain (NP) are common conditions in old age, leading to impaired functional ability and decreased independence. Manual and exercise therapies are common and effective therapies for the general LBP and NP populations. However, these treatments have not been adequately researched in older LBP and NP sufferers. The primary aim of these studies is to assess the relative clinical effectiveness of 1) manual treatment plus home exercise, 2) supervised rehabilitative exercise plus home exercise, and 3) home exercise alone, in terms of patient-rated pain, for senior LBP and NP patients. Secondary aims are to compare the three treatment approaches in regards to patient-rated disability, general health status, satisfaction, improvement and medication use, as well as objective outcomes of spinal motion, trunk strength and endurance, and functional ability. Cost-effectiveness and cost-utility will also be assessed. Finally, using qualitative methods, older LBP and NP patient's perceptions of treatment will be explored and described., Methods/design: This paper describes the design of two multi-methods clinical studies focusing on elderly patients with non-acute LBP and NP. Each study includes a randomized clinical trial (RCT), a cost-effectiveness study alongside the RCT, and a qualitative study. Four hundred and eighty participants (240 per study), ages 65 and older, will be recruited and randomized to one of three, 12-week treatment programs. Patient-rated outcome measures are collected via self-report questionnaires at baseline and at 4, 12, 26, and 52 weeks post-randomization. Objective outcomes are assessed by examiners masked to treatment assignment at baseline and 12 weeks. Health care cost data is collected through standardized clinician forms, monthly phone interviews, and self-report questionnaires throughout the study. Qualitative interviews using a semi-structured format are conducted at the end of the 12 week treatment period., Discussion: To our knowledge, these are the first randomized clinical trials to comprehensively address clinical effectiveness, cost-effectiveness, and patients' perceptions of commonly used treatments for elderly LBP and NP sufferers.