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Relapsed infant MLL‐rearranged acute lymphoblastic leukemia with additional genetic alterations 下载免费PDF全文
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Brian J. Smith BSc Nichole Nidey BA Steven F. Miller PhD Lina M. Moreno Uribe DDS PhD Christian L. Baum MD Grant S. Hamilton III MD George L. Wehby PhD Martine Dunnwald PharmD PhD 《Wound repair and regeneration》2014,22(2):228-238
In order to understand the link between the genetic background of patients and wound clinical outcomes, it is critical to have a reliable method to assess the phenotypic characteristics of healed wounds. In this study, we present a novel imaging method that provides reproducible, sensitive, and unbiased assessments of postsurgical scarring. We used this approach to investigate the possibility that genetic variants in orofacial clefting genes are associated with suboptimal healing. Red‐green‐blue digital images of postsurgical scars of 68 patients, following unilateral cleft lip repair, were captured using the 3dMD imaging system. Morphometric and colorimetric data of repaired regions of the philtrum and upper lip were acquired using ImageJ software, and the unaffected contralateral regions were used as patient‐specific controls. Repeatability of the method was high with intraclass correlation coefficient score > 0.8. This method detected a very significant difference in all three colors, and for all patients, between the scarred and the contralateral unaffected philtrum (p ranging from 1.20?05 to 1.95?14). Physicians’ clinical outcome ratings from the same images showed high interobserver variability (overall Pearson coefficient = 0.49) as well as low correlation with digital image analysis results. Finally, we identified genetic variants in TGFB3 and ARHGAP29 associated with suboptimal healing outcome. 相似文献
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Gildasio S. De Oliveira Jr. MD MSCI Ray Chang BS Seema A. Khan MD Nora M Hansen MD Jamil H. Khan BS Robert J. McCarthy PharmD Apkar V Apkarian PhD 《The breast journal》2014,20(1):9-14
Chronic pain has been shown to affect up to 60% of patients undergoing surgery for breast cancer. Besides younger age, other risk factors for the development of chronic pain have not been consistent in previous studies. The objective of the current investigation was to detect the prevalence and risk factors for the development of chronic pain after breast cancer surgery by examining a patient population from a tertiary cancer center in the United States. The study was a prospective observational cohort study. Subjects were evaluated at least 6 months after the surgical procedure. Subjects responded to the modified short form Brief pain inventory and the short form McGill pain questionnaire to identify and characterize pain. Demographic, surgery, cancer treatment, and perioperative characteristics were recorded. Propensity matching regression analysis were used to examine risk factors associated with the development of chronic pain. 300 patients were included in the study. 110 reported the presence of chronic pain. Subjects with chronic pain reported median (interquartile range [IQR]) rating of worst pain in the last 24 hours of 4 (2–5) and a median (IQR) rating on average pain in the last 24 hours of 3 (1–4) on a 0–10 numeric rating scale. Independent risk factors associated with the development of chronic pain were age, OR (95% CI) of 0.95 (0.93–0.98) and axillary lymph node dissection, 7.7 (4.3–13.9) but not radiation therapy, 1.05(0.56–1.95). After propensity matching for confounding covariates, radiation was still not associated with the development of chronic pain. Chronic pain after mastectomy continues to have a high prevalence in breast cancer patients. Younger age and axillary lymph node dissection but not radiation therapy are risk factors for the development of chronic pain. Preventive strategies to minimize the development of chronic pain are highly desirable. 相似文献
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Carine Beysen DPhil Patricia Schroeder PhD Eric Wu PhD Julie Brevard MPH Maria Ribadeneira PhD Wei Lu PhD Kiran Dole PharmD Terry O'Reilly MD Linda Morrow MD Marcus Hompesch MD Marc K. Hellerstein MD Kelvin Li PhD Lars Johansson PhD Patrick F. Kelly MD 《Diabetes, obesity & metabolism》2021,23(3):700-710
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Sarra Smati MD Blandine Tramunt MD Matthieu Wargny MD Cyrielle Caussy MD Bénédicte Gaborit MD Camille Vatier MD Bruno Vergès MD Deborah Ancelle MD Coralie Amadou MD Leila A. Bachir MD Olivier Bourron MD Christine Coffin-Boutreux MD Sara Barraud MD Anne Dorange MD Bénédicte Fremy MD Jean-François Gautier MD Natacha Germain MD Etienne Larger MD Stéphanie Laugier-Robiolle MD Laurent Meyer MD Arnaud Monier MD Isabelle Moura MD Louis Potier MD Nadia Sabbah MD Dominique Seret-Bégué MD Patrice Winiszewski MD Matthieu Pichelin PharmD Pierre-Jean Saulnier MD Samy Hadjadj MD Bertrand Cariou MD Pierre Gourdy MD for the CORONADO investigators 《Diabetes, obesity & metabolism》2021,23(2):391-403