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Steiner JF, Nguyen AP, Schuster KS, Goodrich G, Barrow J, Steiner CA, Zeng C. Associations between Missed Colonoscopy Appointments and Multiple Prior Adherence Behaviors in an Integrated Healthcare System: An Observational Study. J Gen Intern Med 2024; 39:36-44. [PMID: 37550443 PMCID: PMC10817878 DOI: 10.1007/s11606-023-08355-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 07/25/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Missed colonoscopy appointments delay screening and treatment for gastrointestinal disorders. Prior nonadherence with other care components may be associated with missed colonoscopy appointments. OBJECTIVE To assess variability in prior adherence behaviors and their association with missed colonoscopy appointments. DESIGN Retrospective cohort study. PARTICIPANTS Patients scheduled for colonoscopy in an integrated healthcare system between January 2016 and December 2018. MAIN MEASURES Prior adherence behaviors included: any missed outpatient appointment in the previous year; any missed gastroenterology clinic or colonoscopy appointment in the previous 2 years; and not obtaining a bowel preparation kit pre-colonoscopy. Other sociodemographic, clinical, and system characteristics were included in a multivariable model to identify independent associations between prior adherence behaviors and missed colonoscopy appointments. KEY RESULTS The median age of the 57,590 participants was 61 years; 52.8% were female and 73.4% were white. Of 77,684 colonoscopy appointments, 3,237 (4.2%) were missed. Individuals who missed colonoscopy appointments were more likely to have missed a previous primary care appointment (62.5% vs. 38.4%), a prior gastroenterology appointment (18.4% vs. 4.7%) or not to have picked up a bowel preparation kit (42.4% vs. 17.2%), all p < 0.001. Correlations between the three adherence measures were weak (phi < 0.26). The rate of missed colonoscopy appointments increased from 1.8/100 among individuals who were adherent with all three prior care components to 24.6/100 among those who were nonadherent with all three care components. All adherence variables remained independently associated with nonadherence with colonoscopy in a multivariable model that included other covariates; adjusted odds ratios (with 95% confidence intervals) were 1.6 (1.5-1.8) for outpatient appointments, 1.9 (1.7-2.1) for gastroenterology appointments, and 3.1 (2.9-3.4) for adherence with bowel preparation kits, respectively. CONCLUSIONS Three prior adherence behaviors were independently associated with missed colonoscopy appointments. Studies to predict adherence should use multiple, complementary measures of prior adherence when available.
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Affiliation(s)
- John F Steiner
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA.
- Colorado Permanente Medical Group, Denver, CO, USA.
| | - Anh P Nguyen
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Kelly S Schuster
- Department of Gastroenterology, Kaiser Permanente Colorado, Denver, CO, USA
| | - Glenn Goodrich
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Jennifer Barrow
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Claudia A Steiner
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
- Colorado Permanente Medical Group, Denver, CO, USA
| | - Chan Zeng
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
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Pellegrino F, Sjoberg DD, Tin AL, Benfante NE, Briganti A, Montorsi F, Eastham JA, Mulhall JP, Vickers AJ. Relationship Between Age, Comorbidity, and the Prevalence of Erectile Dysfunction. Eur Urol Focus 2023; 9:162-167. [PMID: 36031560 PMCID: PMC10353735 DOI: 10.1016/j.euf.2022.08.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/17/2022] [Accepted: 08/12/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Erectile dysfunction (ED) increases with age. Remarkably, the relationship between age and the risk of ED has only been described in crude categories, such as risk for men aged 50-59 yr, without taking comorbidities into account. OBJECTIVE To understand how the risk of patient-reported ED varies according to age and comorbidity status. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study included a cohort of 17 250 patients with prostate cancer who completed the International Index of Erectile Function erectile function domain (IIEF-EF) questionnaire before any prostate treatment. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS We created a logistic regression model to predict the probability of ED using age and comorbidities such as cardiovascular disease, diabetes, and hypertension as predictors. We used age as a nonlinear term to allow a curvilinear relationship between age and ED. RESULTS AND LIMITATIONS The prevalence of patient-reported ED among men without any comorbidities increased from 10% to 79% from the age of 40 and 80 yr. The risk of ED increased sharply with comorbidity: the probability of ED for 50- and 75-yr-old individuals was 20% and 68% for healthy men, but 41% and 85% for those with hypertension, obesity, and diabetes. Men with several comorbidities have the same risk of ED as that of healthy men 15-25 yr older. Limitations include a healthier-than-average patient group and lack of information about some comorbidities and the severity of comorbidities. CONCLUSIONS Our results allow us to better understand how the risk of ED changes with age and comorbidities. Further research should evaluate the impact of other risk factors not considered in the present study and should take risk factor severity into account. PATIENT SUMMARY Our study shows how the probability of erectile dysfunction (ED) changes with increasing age, analyzed alone and when taking into account the presence of other risk factors for this condition (eg, diabetes, high blood pressure, and cardiovascular disease). Our results help in better understanding the probability of ED for men with and without comorbidities.
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Affiliation(s)
- Francesco Pellegrino
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Division of Oncology/Unit of Urology, IRCCS San Raffaele Hospital, Urological Research Institute, Milan, Italy.
| | - Daniel D Sjoberg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amy L Tin
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nicole E Benfante
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alberto Briganti
- Division of Oncology/Unit of Urology, IRCCS San Raffaele Hospital, Urological Research Institute, Milan, Italy
| | - Francesco Montorsi
- Division of Oncology/Unit of Urology, IRCCS San Raffaele Hospital, Urological Research Institute, Milan, Italy
| | - James A Eastham
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John P Mulhall
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew J Vickers
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Xia R, Li H, Shi J, Liu W, Cao M, Sun D, He S, Yu Y, Li N, Lei L, Zhuang G, Chen W. Cost-effectiveness of risk-stratified endoscopic screening for esophageal cancer in high-risk areas of China: a modeling study. Gastrointest Endosc 2022; 95:225-235.e20. [PMID: 34418461 DOI: 10.1016/j.gie.2021.08.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 08/10/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS Risk-stratified endoscopic screening (RSES) has been suggested to improve screening efficiency. We aimed to assess the cost-effectiveness of RSES and identify the optimal risk-score thresholds for once in a lifetime esophageal cancer (EC) screening in high-risk areas of China. METHODS From a healthcare system perspective, a Markov model was constructed to compare the cost-effectiveness of 13 RSES strategies (under different score thresholds for EC risk), universal endoscopic screening strategy, and no screening. Six cohorts of 100,000 participants with different screening ages (40-65 years) were followed up to age 77 years. The incremental cost-effectiveness ratio (ICER), that is, incremental costs per quality-adjusted life-year (QALY) gained, was the primary outcome. RESULTS Compared with no screening, as the score threshold was lowered, additionally gained QALYs increased, with 49 to 172 QALYs and 329 to 1147 QALYs gained from screening performed at 40 and 65 years, respectively. RSES in all age scenarios had ICERs less than the gross domestic product (GDP) per capita, and 11 RSES strategies with score thresholds of 3 to 13 had lower ICERs than universal endoscopic screening. At a willingness-to-pay threshold of the GDP per capita (U.S.$10,276/QALY), RSES at score thresholds of 8 or 9 and universal endoscopic screening were the most cost-effective strategies at ages <55 and ≥55 years, respectively. CONCLUSIONS RSES is cost-effective, and score thresholds of 8 or 9 should be considered for screening ages <55 years. For individuals aged ≥55 years, universal endoscopic screening is the optimal strategy.
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Affiliation(s)
- Ruyi Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - He Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jufang Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenjun Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Maomao Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dianqin Sun
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siyi He
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yiwen Yu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lin Lei
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, China.
| | - Guihua Zhuang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Pinsky P, Goodman P, Parnes H, Ford L, Minasian L. Adherence with protocol medication use and mortality from unrelated causes in a prevention trial. Prev Med 2021; 153:106778. [PMID: 34450188 PMCID: PMC9045137 DOI: 10.1016/j.ypmed.2021.106778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 07/19/2021] [Accepted: 08/22/2021] [Indexed: 11/24/2022]
Abstract
Several studies have shown that non-adherence to medication use is associated with lower use of preventive services and increased mortality. We aimed to study the relationship between initial adherence to medication use and mortality in the Prostate Cancer Prevention Trial (PCPT). The PCPT randomized men age 55 and over to a finasteride or placebo arm. Duration of treatment was seven years, followed by end-of-study prostate biopsy. Extended follow-up for mortality was performed by linkage to the National Death Index. Non-adherence was defined as taking under 80% of required pills during the first or second 6-month trial period. Proportional hazards models were used to assess the relationship between adherence and all-cause mortality (excluding prostate cancer deaths). Three models were developed as follows: Model I (controlling for demographics and trial arm), Model II (Model I factors plus specific medical conditions), Model III (Model II factors plus lifestyle factors). Of 18,667 men included in the analysis, 3082 (16.5%) were non-adherent. The most common reasons for non-adherence were side effects (33.9%) and forgetting to take pills (22%). Through 5 and 10 years of follow-up, 178 (5.9%) and 483 (15.7%) non-adherent men died versus 581 (3.7%) and 1887 (12.1%) adherent men. Hazard ratios (HRs) at 5 years were 1.62 (95% CI: 1.37-1.91), 1.55 (95% CI: 1.30-1.83) and 1.49 (95% CI: 1.25-1.76) for Models I-III. HRs at ten years were lower but still statistically significant. Non-adherence to taking protocol medications was associated with increased mortality from unrelated conditions.
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Affiliation(s)
- Paul Pinsky
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America.
| | - Phyllis Goodman
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Howard Parnes
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Leslie Ford
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Lori Minasian
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America
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Bastani M, Patel D, Silvestri G, Raoof S, Chusid J, Cohen SL. Factors Associated With Lung Cancer Screening Adherence Among Patients With Negative Baseline CT Results in a Community Health Care Setting. J Am Coll Radiol 2021; 19:232-239. [PMID: 34861204 DOI: 10.1016/j.jacr.2021.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/01/2021] [Accepted: 10/01/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE Lung cancer screening (LCS) decreases lung cancer mortality; however, that reduction depends upon screening adherence. The purpose of this study was to determine factors associated with adherence rate for LCS among patients with negative baseline CT results in a multi-integrated health care network. METHODS A retrospective analysis was conducted among patients with negative baseline CT results in a multi-integrated health care network LCS program between January 2015 and January 2020. The two outcomes were adherence for the first and second subsequent LCS studies. Negative baseline result was defined as a Lung CT Screening Reporting and Data System score 0, 1, or 2. Adherence was defined as undergoing a follow-up study within 11 to 15 months of a prior scan. Multivariable logistic regression was used to determine significant predictors of adherence, adjusting for patient demographics, median household income (on the basis of geocoding ZIP codes from the US Census Bureau), smoking history, screening sites, and provider specialty. RESULTS A total of 30.7% (512 of 1,668) and 16.3% (270 of 1,660) of patients were adherent for the first two annual subsequent screens, respectively. First-year adherence was higher among former smokers and varied by site and provider specialty. Second-year adherence was higher among former smokers and varied by site, provider specialty, and pack-years smoked. CONCLUSIONS Adherence to LCS in a multihospital integrated health care network was poor and even lower at year 2. The identified factors associated with adherence may serve as targets to increase LCS adherence and decrease lung cancer mortality.
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Affiliation(s)
- Mehrad Bastani
- Department of Radiology, Northwell Health, Manhasset, New York; Feinstein Institutes for Medical Research, Manhasset, New York.
| | - Dhara Patel
- Department of Pulmonary Medicine, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Manhasset, New York
| | - Gerard Silvestri
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Suhail Raoof
- Department of Pulmonary Medicine, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Manhasset, New York
| | - Jesse Chusid
- Department of Radiology, Northwell Health, Manhasset, New York; Feinstein Institutes for Medical Research, Manhasset, New York
| | - Stuart L Cohen
- Department of Radiology, Northwell Health, Manhasset, New York; Feinstein Institutes for Medical Research, Manhasset, New York; Department of Pulmonary Medicine, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Manhasset, New York
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Schoenborn NL, Sheehan OC, Roth DL, Cidav T, Huang J, Chung SE, Zhang T, Lee S, Xue QL, Boyd CM. Association Between Receipt of Cancer Screening and All-Cause Mortality in Older Adults. JAMA Netw Open 2021; 4:e2112062. [PMID: 34061202 PMCID: PMC8170538 DOI: 10.1001/jamanetworkopen.2021.12062] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
IMPORTANCE Guidelines recommend against routine breast and prostate cancer screenings in older adults with less than 10 years' life expectancy. One study using a claims-based prognostic index showed that receipt of cancer screening itself was associated with lower mortality, suggesting that the index may misclassify individuals when used to inform cancer screening, but this finding was attributed to residual confounding because the index did not account for functional status. OBJECTIVE To examine whether cancer screening remains significantly associated with all-cause mortality in older adults after accounting for both comorbidities and functional status. DESIGN, SETTING, AND PARTICIPANTS This cohort study included individuals older than 65 years who were eligible for breast or prostate cancer screening and who participated in the 2004 Health and Retirement Study. Data were linked to Medicare claims from 2001 to 2015. Data analysis was conducted from January to November 2020. MAIN OUTCOMES AND MEASURES A Cox model was used to estimate the association between all-cause mortality over 10 years and receipt of screening mammogram or prostate-specific antigen (PSA) test, adjusting for variables in a prognostic index that included age, sex, comorbidities, and functional status. Potential confounders (ie, education, income, marital status, geographic region, cognition, self-reported health, self-care, and self-perceived mortality risk) of the association between cancer screening and mortality were also tested. RESULTS The breast cancer screening cohort included 3257 women (mean [SD] age, 77.8 [7.5] years); the prostate cancer screening cohort included 2085 men (mean [SD] age, 76.1 [6.8] years). Receipt of screening mammogram was associated with lower hazard of all-cause mortality after accounting for all index variables (adjusted hazard ratio [aHR], 0.67; 95% CI, 0.60-0.74). A weaker, but still statistically significant, association was found for screening PSA (aHR 0.88; 95% CI, 0.78-0.99). None of the potential confounders attenuated the association between screening and mortality except for cognition, which attenuated the aHR for mammogram from 0.67 (95% CI, 0.60-0.74) to 0.73 (95% CI, 0.64-0.82) and the aHR for PSA from 0.88 (95% CI, 0.78-0.99) to 0.92 (95% CI, 0.80-1.05), making PSA screening no longer statistically significant. CONCLUSIONS AND RELEVANCE In this study, cognition attenuated the observed association between cancer screening and mortality among older adults. These findings suggest that existing mortality prediction algorithms may be missing important variables that are associated with receipt of cancer screening and long-term mortality. Relying solely on algorithms to determine cancer screening may misclassify individuals as having limited life expectancy and stop screening prematurely. Screening decisions need to be individualized and not solely dependent on life expectancy prediction.
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Affiliation(s)
- Nancy L. Schoenborn
- The Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Johns Hopkins Center on Aging and Health, Baltimore, Maryland
| | - Orla C. Sheehan
- The Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Johns Hopkins Center on Aging and Health, Baltimore, Maryland
| | - David L. Roth
- The Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Johns Hopkins Center on Aging and Health, Baltimore, Maryland
| | - Tansu Cidav
- The Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Johns Hopkins Center on Aging and Health, Baltimore, Maryland
| | - Jin Huang
- The Johns Hopkins Center on Aging and Health, Baltimore, Maryland
- Bon Secours Mercy Health St Elizabeth Youngstown Hospital, Youngstown, Ohio
| | - Shang-En Chung
- The Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Johns Hopkins Center on Aging and Health, Baltimore, Maryland
| | - Talan Zhang
- The Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Johns Hopkins Center on Aging and Health, Baltimore, Maryland
| | - Sei Lee
- University of California, San Francisco School of Medicine
| | - Qian-Li Xue
- The Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Johns Hopkins Center on Aging and Health, Baltimore, Maryland
| | - Cynthia M. Boyd
- The Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Johns Hopkins Center on Aging and Health, Baltimore, Maryland
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Wang K, Wu Q, Li Z, Reger MK, Xiong Y, Zhong G, Li Q, Zhang X, Li H, Foukakis T, Xiang T, Zhang J, Ren G. Vitamin K intake and breast cancer incidence and death: results from a prospective cohort study. Clin Nutr 2020; 40:3370-3378. [PMID: 33277073 DOI: 10.1016/j.clnu.2020.11.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 10/20/2020] [Accepted: 11/06/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS Vitamin K prevents growth and metastasis of certain cancers, but there is little evidence regarding the association between dietary vitamin K and breast cancer incidence and death. We sought to examine whether intakes of total vitamin K, phylloquinone (vitamin K1) and menaquinones (MKs) (vitamin K2) may influence risks of breast cancer incidence and death in the US population. METHODS Herein, 2286 breast cancer cases and 207 breast cancer deaths were identified during 702,748 person-years of follow-up. Cox regression and competing risk regression were used to estimate multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals (95% CIs) by dietary vitamin K intake quintile (Q) for risk of breast cancer incidence and mortality. RESULTS After adjustment for confounders, the total MK intake was associated with an increased risk of breast cancer (HR Q5 vs Q1, 1.26; 95% CI, 1.05 to 1.52; Ptrend, 0.01) and death from breast cancer (HR Q5 vs Q1, 1.71; 95% CI, 0.97 to 3.01; Ptrend, 0.04). Non-linear positive dose-response associations with risks of breast cancer incidence and death were found for total MKs intake (Pnon-linearity<0.05). No statistically significant associations were observed between the intake of total vitamin K and phylloquinone and breast cancer. CONCLUSIONS The present study suggests that total MK intake was associated with an altered risk of the occurrence and death of breast cancer in the general US population. If our findings are replicated in other epidemiological studies, reducing dietary intake of menaquinones may offer a novel strategy for breast cancer prevention.
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Affiliation(s)
- Kang Wang
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016, China; Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Oncology-Pathology, Karolinska Institutet, 17164, Stockholm, Sweden
| | - Qianxue Wu
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016, China
| | - Zhuyue Li
- West China Hospital / West China School of Nursing, Sichuan University, Chengdu, China
| | - Michael K Reger
- College of Health Professions Ferris State University, 200 Ferris Drive, VFS 300B, Big Rapids, MI, 49307, USA
| | - Yongfu Xiong
- The First Department of Hepatobiliary Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, China
| | - Guochao Zhong
- Department of Hepatobiliary Surgery, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qing Li
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016, China
| | - Xiang Zhang
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016, China
| | - Hongyuan Li
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016, China
| | - Theodoros Foukakis
- Department of Oncology-Pathology, Karolinska Institutet, 17164, Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, 17176, Stockholm, Sweden
| | - Tingxiu Xiang
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| | - Jianjun Zhang
- Department of Epidemiology, Fairbanks School of Public Health Melvin and Bren Simon Comprehensive Cancer Center Indiana University, 1050 Wishard Boulevard, RG5118, Indianapolis, IN, 46202, USA.
| | - Guosheng Ren
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016, China; Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Wang K, Sun JZ, Wu QX, Li ZY, Li DX, Xiong YF, Zhong GC, Shi Y, Li Q, Zheng J, Shivappa N, Hébert JR, Foukakis T, Zhang X, Li HY, Xiang TX, Ren GS. Long-term anti-inflammatory diet in relation to improved breast cancer prognosis: a prospective cohort study. NPJ Breast Cancer 2020; 6:36. [PMID: 32821804 PMCID: PMC7426822 DOI: 10.1038/s41523-020-00179-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 07/22/2020] [Indexed: 02/05/2023] Open
Abstract
Inflammation-modulating nutrients and inflammatory markers are established cancer risk factors, however, evidence regarding the association between post-diagnosis diet-associated inflammation and breast cancer survival is relatively sparse. We aimed to examine the association between post-diagnosis dietary inflammatory index (DII®) and risks of all-cause and breast cancer-specific mortality. A total of 1064 female breast cancer survivors in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening (PLCO) Trial prospective cohort, were included in this analysis if they had completed the diet history questionnaire (DHQ). Energy-adjusted DII (E-DIITM) scores were calculated based on food and supplement intake. Cox regression and competing risk models were used to estimate multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals (95% CIs) by E-DII tertile (T) for all-cause and breast cancer-specific mortality. With median follow-up of 14.6 years, there were 296 (27.8%) deaths from all causes and 100 (9.4%) breast cancer-specific death. The E-DII was associated with all-cause mortality (HR T3 vs T1, 1.34; 95% CI, 1.01-1.81; P trend, 0.049, Table 2) and breast cancer mortality (HR T3 vs T1, 1.47; 95% CI, 0.89-2.43; P trend, 0.13; multivariable-adjusted HR for 1-unit increment: 1.10; 95% CI: 1.00-1.22). Non-linear positive dose-response associations with mortality from all causes were identified for E-DII scores (P non-linearity < 0.05). The post-diagnosis E-DII was statistically significantly associated with mortality risk among breast cancer survivors. Long-term anti-inflammatory diet might be a means of improving survival of breast cancer survivors.
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Affiliation(s)
- Kang Wang
- Department of the Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016 China
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jia-Zheng Sun
- Department of the Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016 China
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qian-Xue Wu
- Department of the Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016 China
| | - Zhu-Yue Li
- West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China
| | - Da-Xue Li
- Department of Breast Surgery, Chongqing Health Center for Women and Children, Chongqing, 400000 China
| | - Yong-Fu Xiong
- The First Department of Hepatobiliary Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007 China
| | - Guo-Chao Zhong
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Shi
- Division of Biostatistics and Data Science, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA USA
| | - Qing Li
- Department of the Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016 China
| | - Jiali Zheng
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208 USA
| | - Nitin Shivappa
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208 USA
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC 29208 USA
- Connecting Health Innovations, LLC, Columbia, SC 29201 USA
| | - James R. Hébert
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208 USA
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC 29208 USA
- Connecting Health Innovations, LLC, Columbia, SC 29201 USA
| | - Theodoros Foukakis
- Department of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden
- Breast Center, Theme Cancer, Karolinska University Hospital, 17176 Stockholm, Sweden
| | - Xiang Zhang
- Department of the Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016 China
| | - Hong-Yuan Li
- Department of the Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016 China
| | - Ting-Xiu Xiang
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Guo-Sheng Ren
- Department of the Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016 China
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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9
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Pierre-Victor D, Pinsky PF, McCaskill-Stevens W. Other- and all-cause Mortality among women with breast cancer. Cancer Epidemiol 2020; 65:101694. [PMID: 32135504 DOI: 10.1016/j.canep.2020.101694] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 02/19/2020] [Accepted: 02/21/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Advances in early detection and treatment of breast cancer (BrCA) have led to better survival. Consequently, more women with BrCA now die from non-BrCA causes. We investigated all-cause and other-cause (non-BrCA) survival among women with BrCA. METHODS From the Prostate, Lung, Colorectal and Ovarian (PCLO) cohort, we selected women diagnosed with BrCA from 1994-2014. To compare survival of cases to non-cases, we used exposure density sampling. We computed standard mortality ratios (SMRs) and performed Cox proportional hazards models with matched case-control sets, controlling for demographics (Model I) and additional covariates (Model II). We also examined survival by stage within BrCA cases. RESULTS Among 78,215 women enrolled in PLCO, there were 1211 in-situ and 4790 invasive BrCA cases. 15-year survival rates were 97.1 % (BrCA-specific) and 77.2 % (other-cause) among in-situ and 86.4 % (BrCA-specific) and 73.4 % (other-cause) among invasive cases. For other-cause mortality, in-situ cases had lower risk in models I (HR = 0.74; 95 % CI:0.62-0.89) and II (HR = 0.75; 95 % CI:0.62-0.92) versus controls. All-cause mortality HRs for in-situ cases were 0.83 (95 % CI:0.70-0.99) and 0.85 (95 % CI:0.70-1.02) in Models I and II, respectively. Other-cause mortality was similar among invasive cases and controls. Within BrCA cases, higher stage was associated with increased other-cause mortality; HRs were 1.2 (95 % CI:1.1-1.5) and 1.7 (95 % CI:1.2-2.3) for stage II and III/IV versus stage I (Model II). DISCUSSION Mortality from other causes exceeded that of BrCA in both in-situ and invasive cases, highlighting the importance of managing patients' chronic conditions during and following cancer treatment.
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Affiliation(s)
| | - Paul F Pinsky
- Early Detection Research Group, Division of Cancer Prevention, National Cancer Institute, NIH, United States.
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