Promise of Composite Pain Index as a single pain outcome for sickle cell disease across the lifespan.

BACKGROUND: This study aimed to validate a Composite Pain Index (CPI) as a single pain outcome measure for sickle cell disease (SCD) across the lifespan from 8 years of age. PROCEDURE: This prospective, cross-sectional study included 55 participants with SCD who completed the PAINReportIt tool and Adolescent Pediatric Pain Tool (APPT) in random order during outpatient visits to derive respective CPI scores for comparison. RESULTS: Of the 55 participants with SCD, 46 (84%) had HgbSS, eight (15%) HgbSC, and one (2%) HgbSß0+. The mean age of all participants was 17.5 ± 2.6 years, and 28 (51%) were female, 52 (95%) were Black, 42 (98%) were non-Hispanic, and 39 (71%) had a ninth grade or higher education. Correlation analyses between the APPT and PAINReportIt revealed positive associations for the number of pain sites (r = .57, p < .001), pain intensity (r = .46, p < .001), pain quality (r = .74, p < .001), and pain pattern (r = .34, p = .01). Patients' mean CPI scores derived from the PAINReportIt was slightly higher than the APPT; 34.2 (SD = 14.7) and 30.0 (SD = 19.0), respectively. Regression analyses showed that the APPT CPI significantly predicted the PAINReportIt CPI (B = .497, t(53) = 6.051, p < .001). This finding holds true even when accounting for the order of measurement or patient's age. CONCLUSION: The initial validation of CPI as a single pain outcome measure represents a significant advancement in pain assessment for SCD. Further validation is warranted for the CPI as a measure is for both clinicians and researchers to enable longitudinal pain assessment from age 8 years across the lifespan as children age into adult care.

Polygenic Pharmacogenomic Markers as Predictors of Toxicity Phenotypes in the Treatment of Acute Lymphoblastic Leukemia: A Single-Center Study.

PURPOSE: Acute lymphoblastic leukemia (ALL) is the most prevalent cause of childhood cancer and requires a long course of therapy consisting of three primary phases with interval intensification blocks. Although these phases are necessary to achieve remission, the primary chemotherapeutic agents have potentially serious toxicities, which may lead to delays or discontinuations of therapy. The purpose of this study was to perform a comprehensive pharmacogenomic evaluation of common antileukemic agents and develop a polygenic toxicity risk score predictive of the most common toxicities observed during ALL treatment. METHODS: This cross-sectional study included 75 patients with pediatric ALL treated between 2012 and 2020 at the University of Florida. Toxicity data were collected within 100 days of initiation of therapy using CTCAE v4.0 for toxicity grading. For pharmacogenomic evaluation, single-nucleotide polymorphisms (SNPs) and genes were selected from previous reports or PharmGKB database. 116 unique SNPs were evaluated for incidence of various toxicities. A multivariable multi-SNP modeling for up to 3-SNP combination was performed to develop a polygenic toxicity risk score of prognostic value. RESULTS: We identified several SNPs predictive of toxicity phenotypes in univariate analysis. Further multivariable SNP-SNP combination analysis suggest that susceptibility to chemotherapy-induced toxicities is likely multigenic in nature. For 3-SNPscore models, patients with high scores experienced increased risk of GI (P = 2.07E-05, 3 SNPs: TYMS-rs151264360/FPGS-rs1544105/GSTM1-GSTM5-rs3754446), neurologic (P = .0005, 3 SNPs: DCTD-rs6829021/SLC28A3-rs17343066/CTPS1-rs12067645), endocrine (P = 4.77E-08, 3 SNPs: AKR1C3-rs1937840/TYMS-rs2853539/CTH-rs648743), and heme toxicities (P = .053, 3 SNPs: CYP3A5-rs776746/ABCB1-rs4148737/CTPS1-rs12067645). CONCLUSION: Our results imply that instead of a single-SNP approach, SNP-SNP combinations in multiple genes in drug pathways increases the robustness of prediction of toxicity. These results further provide promising SNP models that can help establish clinically relevant biomarkers allowing for greater individualization of cancer therapy to maximize efficacy and minimize toxicity for each patient.

Profiling Cycling Trauma throughout the Body with and Without Helmet Usage in a Large United States Health-care Network.

BACKGROUND: This study aimed to characterize bodily injury patterns associated with helmet usage by comparing trauma sustained by helmeted and helmetless cyclists admitted to a large US health-care system. MATERIALS AND METHODS: A prospective trauma registry associated with a large regional United States health-care network was queried for bicycle injuries resulting in hospital admission over a 5-year period. Data pertaining to helmet usage, demographics, injury description (s), Abbreviated Injury Scale score, Injury Severity Score, and hospital length of stay were collected from 140 patients treated for bicycle-related injuries. Mann-Whitney tests were performed. RESULTS: Fifty-six of the injured cyclists were helmeted (40%) and 84 were not helmeted (60%). A significantly greater proportion of helmeted cyclists exhibited abrasions and a higher incidence of injury across all injury types (P = <0.001 and 0.003). The number and severity of injury to the external body (P = <0.001 and 0.001) and overall injury severity (P = 0.004) for patients with multiple injuries were also significantly greater among helmeted cyclists. Helmeted cyclists did demonstrate significantly shorter hospital stays (P = 0.021). CONCLUSION: While the helmeted and helmetless riders admitted to the emergency department exhibit few differences in injury patterns, when significant injury differences were detected, they were more prevalent in helmeted riders. These differences were represented by minor-to-moderate injuries relative to morbidity and mortality, suggesting that the trauma profile of the helmeted and helmetless riders is relatively comparable. Yet, helmetless wearers did have significantly longer hospital stays, which may indicate underlying health disparities and/or behavioral differences.