{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T03:14:54Z","timestamp":1784690094601,"version":"3.55.0"},"reference-count":39,"publisher":"SAGE Publications","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Women's Health"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:p>\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Background:<\/jats:italic>\n                    <\/jats:bold>\n                    Allostatic load (AL) is the accumulation of physiological dysregulation attributed to repeated activation of the stress response over a lifetime. We assessed the utility of AL as a prognostic measure for high-risk benign breast biopsy pathology results.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Method:<\/jats:italic>\n                    <\/jats:bold>\n                    Eligible patients were women 18 years or older, with a false-positive outpatient breast biopsy between January and December 2022 at a tertiary academic health center. AL was calculated using 12 variables representing four physiological systems: cardiovascular (pulse rate, systolic and diastolic blood pressures, total cholesterol, high-density lipoprotein, and low-density lipoprotein); metabolic (body mass index, albumin, and hemoglobin A1C); renal (creatinine and estimated glomerular filtration rate); and immune (white blood cell count). Multivariable logistic regression was used to assess the association between AL before biopsy and breast biopsy outcomes controlling for patients\u2019 sociodemographics.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Results:<\/jats:italic>\n                    <\/jats:bold>\n                    In total, 170 women were included (mean age, 54.1 \u00b1 12.9 years): 89.4% had benign and 10.6% had high-risk pathologies (radial scar\/complex sclerosing lesion, atypical ductal or lobular hyperplasia, flat epithelial atypia, intraductal papilloma, or lobular carcinoma in-situ). A total of 56.5% were White, 24.7% Asian, and 17.1% other races. A total of 32.5% identified as Hispanic. The mean breast cancer risk score using the Tyrer\u2013Cuzick model was 11.9 \u00b1 7.0. In multivariable analysis, with every one unit increase in AL, the probability of high-risk pathology increased by 37% (odds ratio, 1.37; 95% confidence interval, 1.03, 1.81;\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    = 0.03). No significant association was seen between high-risk pathology and age, ethnicity, breast cancer risk, or area deprivation index.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Conclusion:<\/jats:italic>\n                    <\/jats:bold>\n                    Our findings support that increased AL, a biological marker of stress, is associated with high-risk pathology among patients with false-positive breast biopsy results.\n                  <\/jats:p>","DOI":"10.1089\/jwh.2024.0039","type":"journal-article","created":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T06:45:32Z","timestamp":1720421132000},"page":"1259-1266","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Assessing the Correlation between Allostatic Load and False-Positive Image-Guided Breast Biopsies"],"prefix":"10.1177","volume":"33","author":[{"given":"Maxwell","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Radiological Sciences, University of California, Irvine, CA, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Britney","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, University of California, Irvine, CA, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinho","family":"Jung","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, University of California, Irvine, CA, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eisa","family":"Razzak","sequence":"additional","affiliation":[{"name":"Loyola University Stritch School of Medicine, Chicago, Illinois, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eniola T.","family":"Oluyemi","sequence":"additional","affiliation":[{"name":"Department of Radiology, John Hopkins University, Baltimore, MD, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elizabeth S.","family":"McDonald","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Randy C.","family":"Miles","sequence":"additional","affiliation":[{"name":"Department of Radiology, Denver Health, Denver, CO, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gelareh","family":"Sadigh","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, University of California, Irvine, CA, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruth C.","family":"Carlos","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Michigan, Ann Arbor, MI, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,9,4]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41523-021-00309-6"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1056\/nejm199505183322008"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2022.02.003"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1097\/00006842-200205000-00004"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2004.060749"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1200\/jco.21.02004"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2022.21626"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1245\/s10434-023-14431-1"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.Epi-19-0712"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-021-06102-0"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1002\/pon.3044"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13058-023-01754-w"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1097\/MLR.0000000000000393"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.path.2017.09.009"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMsr1407164"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0102503"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcl.2020.08.005"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.Epi-15-0623"},{"key":"e_1_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.1668"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMp1802313"},{"key":"e_1_3_3_22_2","unstructured":"University of Wisconsin School of Medicine and Public Health. 2020 Area Deprivation Index v3.1. 2023. 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