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Chen JC, Elsaid MI, Handley D, Anderson L, Andersen BL, Carson WE, Beane JD, Kim A, Skoracki R, Pawlik TM, Obeng-Gyasi S. Allostatic load as a predictor of postoperative complications in patients with breast cancer. NPJ Breast Cancer 2024; 10:44. [PMID: 38866818 PMCID: PMC11169387 DOI: 10.1038/s41523-024-00654-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 06/01/2024] [Indexed: 06/14/2024] Open
Abstract
Allostatic load (AL) is a biological measure of cumulative exposure to socioenvironmental stressors (e.g., poverty). This study aims to examine the association between allostatic load (AL) and postoperative complications (POC) among patients with breast cancer. Females ages 18+ with stage I-III breast cancer who received surgical management between 01/01/2012-12/31/2020 were identified in the Ohio State Cancer registry. The composite AL measure included biomarkers from the cardiovascular, metabolic, immune, and renal systems. High AL was defined as composite scores greater than the cohort's median (2.0). POC within 30 days of surgery were examined. Univariable and multivariable regression analysis examined the association between AL and POC. Among 4459 patients, 8.2% had POC. A higher percentage of patients with POC were unpartnered (POC 44.7% vs no POC 35.5%), government-insured (POC 48.2% vs no POC 38.3%) and had multiple comorbidities (POC 32% vs no POC 20%). Patients who developed POC were more likely to have undergone sentinel lymph node biopsy followed by axillary lymph node dissection (POC 51.2% vs no POC 44.6%). High AL was associated with 29% higher odds of POC (aOR 1.29, 95% CI 1.01-1.63). A one-point increase in AL was associated with 8% higher odds of POC (aOR 1.08, 95% CI 1.02-1.16) and a quartile increase in AL was associated with 13% increased odds of POC (aOR 1.13, 95% CI 1.01-1.26). Among patients undergoing breast cancer surgery, increased exposure to adverse socioenvironmental stressors, operationalized as AL, was associated with higher odds of postoperative complications.
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Affiliation(s)
- J C Chen
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Mohamed I Elsaid
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
- Center for Biostatistics, College of Medicine, The Ohio State University, Columbus, OH, USA
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Demond Handley
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
- Center for Biostatistics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Lisa Anderson
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | | | - William E Carson
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Joal D Beane
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Alex Kim
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Roman Skoracki
- Division of Reconstructive Oncologic Plastic Surgery, Department of Plastic Surgery, The Ohio State University, Columbus, OH, USA
| | - Timothy M Pawlik
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Samilia Obeng-Gyasi
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA.
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Obeng-Gyasi S, Chen JC, Elsaid M, Handley D, Anderson L, Andersen B, Carson W, Beane J, Kim A, Skoracki R, Pawlik T. Allostatic Load as a Predictor of Postoperative Complications in Patients with Breast Cancer. RESEARCH SQUARE 2024:rs.3.rs-3873505. [PMID: 38405905 PMCID: PMC10889069 DOI: 10.21203/rs.3.rs-3873505/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
BACKGROUND Allostatic load (AL) is a biological measure of cumulative exposure to socioenvironmental stressors (e.g., poverty). This study aims to examine the association between allostatic load (AL) and postoperative complications (POC) among patients with breast cancer. METHODS Assigned females at birth ages 18 + with stage I-III breast cancer who received surgical management between 01/01/2012-12/31/2020 were identified in the Ohio State Cancer registry. The composite AL measure included biomarkers from the cardiovascular, metabolic, immune, and renal systems. High AL was defined as composite scores greater than the cohort's median (2.0). POC within 30 days of surgery were examined. Univariable and multivariable regression analysis examined the association between AL and POC. RESULTS Among 4,459 patients, 8.2% had POC. A higher percentage of patients with POC were unpartnered (POC 44.7% vs no POC 35.5%), government-insured (POC 48.2% vs no POC 38.3%) and had multiple comorbidities (POC 32% vs no POC 20%). Patients who developed POC were more likely to have undergone sentinel lymph node biopsy followed by axillary lymph node dissection (POC 51.2% vs no POC 44.6%). High AL was associated with 29% higher odds of POC (aOR 1.29, 95% CI 1.01-1.63). A one-point increase in AL was associated with 8% higher odds of POC (aOR 1.08, 95% CI 1.02-1.16) and a quartile increase in AL was associated with 13% increased odds of POC (aOR 1.13, 95% CI 1.01-1.26). CONCLUSION Among patients undergoing breast cancer surgery, increased exposure to adverse socioenvironmental stressors, operationalized as AL, was associated with higher odds of postoperative complications.
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Boafo YS, Mostafa S, Obeng-Gyasi E. Association of Per- and Polyfluoroalkyl Substances with Allostatic Load Stratified by Herpes Simplex Virus 1 and 2 Exposure. TOXICS 2023; 11:745. [PMID: 37755755 PMCID: PMC10537156 DOI: 10.3390/toxics11090745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/19/2023] [Accepted: 08/27/2023] [Indexed: 09/28/2023]
Abstract
Herpes Simplex Virus (HSV) 1 and 2 are persistent infections that affect a significant percentage of United States (US) adults, with 48% having HSV-1 and 12% having HSV-2. Using data stratified by HSV-1 and HSV-2 exposures, this study investigated the association of per- and polyfluoroalkyl substances (PFAS), a group of toxic synthetic organofluorine chemical compounds found in environmental, occupational, and home settings, with allostatic load (AL), an index of chronic physiological stress. Descriptive statistics, multivariable logistic regression, and Bayesian Kernel Machine Regression (BKMR) modeling were used to assess the effects of multi-PFAS exposures on AL using data from the National Health and Nutrition Examination Survey (NHANES) 2007-2014. Results indicated participants not exposed to PFAS exhibited 77% to 97% lower odds of higher AL (p < 0.001). For example, PFOS per unit increase brought forth a 2% odds increase in higher AL (OR: 1.02; 95% CI: 1.00, 1.05; p < 0.05). Participants exposed to PFAS had reduced odds of higher AL (77%-79%), regardless of their HSV-1 and HSV-2 status. PFAS exposure was more prevalent in those with HSV-1 (60%) than in those with HSV-2 (20%) infection, while AL levels were comparable in both groups (17%). BKMR revealed a nonlinear PFAS-AL association and confirmed interactions among PFAS. In summary, PFAS exposure increased the likelihood of higher AL among those with persistent HSV infections. Our study enhances the current understanding of the complex dynamics involving PFAS, persistent infections, and AL, which hold significant implications for public health and clinical intervention strategies.
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Affiliation(s)
- Yvonne S. Boafo
- Department of Built Environment, North Carolina A&T State University, Greensboro, NC 27411, USA
- Environmental Health and Disease Laboratory, North Carolina A&T State University, Greensboro, NC 27411, USA
| | - Sayed Mostafa
- Department of Mathematics and Statistics, North Carolina A&T State University, Greensboro, NC 27411, USA
| | - Emmanuel Obeng-Gyasi
- Department of Built Environment, North Carolina A&T State University, Greensboro, NC 27411, USA
- Environmental Health and Disease Laboratory, North Carolina A&T State University, Greensboro, NC 27411, USA
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