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Baik SH, Baye F, McDonald CJ. Use of menopausal hormone therapy beyond age 65 years and its effects on women's health outcomes by types, routes, and doses. Menopause 2024; 31:363-371. [PMID: 38595196 DOI: 10.1097/gme.0000000000002335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
OBJECTIVES The study aims to assess the use of menopausal hormone therapy beyond age 65 years and its health implications by types of estrogen/progestogen, routes of administration, and dose strengths. METHODS Using prescription drug and encounter records of 10 million senior Medicare women from 2007-2020 and Cox regression analyses adjusted for time-varying characteristics of the women, we examined the effects of different preparations of menopausal hormone therapy on all-cause mortality, five cancers, six cardiovascular diseases, and dementia. RESULTS Compared with never use or discontinuation of menopausal hormone therapy after age 65 years, the use of estrogen monotherapy beyond age 65 years was associated with significant risk reductions in mortality (19% or adjusted hazards ratio, 0.81; 95% CI, 0.79-0.82), breast cancer (16%), lung cancer (13%), colorectal cancer (12%), congestive heart failure (CHF) (5%), venous thromboembolism (3%), atrial fibrillation (4%), acute myocardial infarction (11%), and dementia (2%). For the use of estrogen and progestogen combo-therapy, both E+ progestin and E+ progesterone were associated with increased risk of breast cancer by 10%-19%, but such risk can be mitigated using low dose of transdermal or vaginal E+ progestin. Moreover, E+ progestin exhibited significant risk reductions in endometrial cancer (45% or adjusted hazards ratio, 0.55; 95% CI, 0.50-0.60), ovarian cancer (21%), ischemic heart disease (5%), CHF (5%), and venous thromboembolism (5%), whereas E+ progesterone exhibited risk reduction only in CHF (4%). CONCLUSIONS Among senior Medicare women, the implications of menopausal hormone therapy use beyond age 65 years vary by types, routes, and strengths. In general, risk reductions appear to be greater with low rather than medium or high doses, vaginal or transdermal rather than oral preparations, and with E2 rather than conjugated estrogen.
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Affiliation(s)
- Seo H Baik
- From the Lister Hill National Center for Biomedical Communications, National Library of Medicine, US National Institutes of Health, Bethesda, MD
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Roshanov PS, Chan MTV, Borges FK, Conen D, Wang CY, Xavier D, Berwanger O, Marcucci M, Sessler DI, Szczeklik W, Spence J, Alonso-Coello P, Fernández C, Pearse RM, Malaga G, Garg AX, Srinathan SK, Jacka MJ, Tandon V, McGillion M, Popova E, Sigamani A, Abraham V, Biccard BM, Villar JC, Chow CK, Polanczyk CA, Tiboni M, Whitlock R, Ackland GL, Panju M, Lamy A, Sapsford R, Williams C, Wu WKK, Cortés OL, MacNeil SD, Patel A, Belley-Côté EP, Ofori S, McIntyre WF, Leong DP, Heels-Ansdell D, Gregus K, Devereaux PJ. One-year Outcomes after Discharge from Noncardiac Surgery and Association between Predischarge Complications and Death after Discharge: Analysis of the VISION Prospective Cohort Study. Anesthesiology 2024; 140:8-24. [PMID: 37713506 DOI: 10.1097/aln.0000000000004763] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
BACKGROUND In previous analyses, myocardial injury after noncardiac surgery, major bleeding, and sepsis were independently associated with most deaths in the 30 days after noncardiac surgery, but most of these deaths occurred during the index hospitalization for surgery. The authors set out to describe outcomes after discharge from hospital up to 1 yr after inpatient noncardiac surgery and associations between predischarge complications and postdischarge death up to 1 yr after surgery. METHODS This study was an analysis of patients discharged after inpatient noncardiac surgery in a large international prospective cohort study across 28 centers from 2007 to 2013 of patients aged 45 yr or older followed to 1 yr after surgery. The study estimated (1) the cumulative postdischarge incidence of death and other outcomes up to a year after surgery and (2) the adjusted time-varying associations between postdischarge death and predischarge complications including myocardial injury after noncardiac surgery, major bleeding, sepsis, infection without sepsis, stroke, congestive heart failure, clinically important atrial fibrillation or flutter, amputation, venous thromboembolism, and acute kidney injury managed with dialysis. RESULTS Among 38,898 patients discharged after surgery, the cumulative 1-yr incidence was 5.8% (95% CI, 5.5 to 6.0%) for all-cause death and 24.7% (95% CI, 24.2 to 25.1%) for all-cause hospital readmission. Predischarge complications were associated with 33.7% (95% CI, 27.2 to 40.2%) of deaths up to 30 days after discharge and 15.0% (95% CI, 12.0 to 17.9%) up to 1 yr. Most of the association with death was due to myocardial injury after noncardiac surgery (15.6% [95% CI, 9.3 to 21.9%] of deaths within 30 days, 6.4% [95% CI, 4.1 to 8.7%] within 1 yr), major bleeding (15.0% [95% CI, 8.3 to 21.7%] within 30 days, 4.7% [95% CI, 2.2 to 7.2%] within 1 yr), and sepsis (5.4% [95% CI, 2.2 to 8.6%] within 30 days, 2.1% [95% CI, 1.0 to 3.1%] within 1 yr). CONCLUSIONS One in 18 patients 45 yr old or older discharged after inpatient noncardiac surgery died within 1 yr, and one quarter were readmitted to the hospital. The risk of death associated with predischarge perioperative complications persists for weeks to months after discharge. EDITOR’S PERSPECTIVE
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Affiliation(s)
- Pavel S Roshanov
- Department of Medicine, Western University, London, Canada; Population Health Research Institute, Hamilton, Canada
| | - Matthew T V Chan
- Department of Anaesthesia and Intensive Care, Chinese University of Hong Kong and Prince of Wales Hospital, Hong Kong, Hong Kong
| | - Flavia K Borges
- Department of Medicine, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
| | - David Conen
- Department of Medicine, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
| | - C Y Wang
- Honorary Professor; Department of Anesthesiology, University of Malaya, Kuala Lumpur, Malaysia
| | - Denis Xavier
- St. John's Medical College Hospital, Bangalore, India
| | - Otavio Berwanger
- George Institute for Global Health, London, United Kingdom; Imperial College London, London, United Kingdom
| | - Maura Marcucci
- Clinical Epidemiology and Research Centre (CERC), Department of Biomedical Sciences, Humanitas University and IRCCS Humanitas Research Hospital, Milan, Italy; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Daniel I Sessler
- Department of Outcomes Research, Cleveland Clinic, Cleveland, Ohio
| | - Wojciech Szczeklik
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Jessica Spence
- Anesthesia and Critical Care, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
| | - Pablo Alonso-Coello
- Iberoamerican Cochrane Center, Hospital Sant Pau, Barcelona, Spain; Centro de Investigación Biomédica en Red (CIBER) de Epidemiología y Salud Pública, Madrid, Spain
| | - Carmen Fernández
- Department of Anesthesiology and Intensive Care Medicine, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Rupert M Pearse
- Barts and the London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom
| | - German Malaga
- Department of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Amit X Garg
- Department of Medicine, University of Western Ontario, London, Canada
| | | | - Michael J Jacka
- Department of Critical Care and Anesthesia, University of Alberta, Edmonton, Canada
| | - Vikas Tandon
- Department of Medicine, McMaster University, Hamilton, Canada
| | - Michael McGillion
- School of Nursing, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
| | - Ekaterine Popova
- IIB Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Barcelona, Spain; Centro Cochrane Iberoamericano, Barcelona, Spain
| | - Alben Sigamani
- Numen Health, Bangalore, India; Narayana Hrudayalaya Health City Bangalore, Bangalore, India
| | - Valsa Abraham
- Christian Medical College and Hospital Ludhiana, Ludhiana, India
| | - Bruce M Biccard
- Department of Anaesthesia and Perioperative Medicine, Groote Schuur Hospital, University of Cape Town, Observatory, South Africa
| | | | - Clara K Chow
- Westmead Applied Research Centre, University of Sydney, Sydney, Australia; Department of Cardiology, Westmead Hospital, Sydney, Australia
| | - Carísi A Polanczyk
- Graduate Program in Epidemiology and Cardiovascular Science, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; Institute for Health Technology Assessment, Porto Alegre, Rio Grande do Sul, Brazil
| | - Maria Tiboni
- Department of Medicine, McMaster University, Hamilton, Canada
| | - Richard Whitlock
- Department of Surgery, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
| | - Gareth L Ackland
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Mohamed Panju
- Department of Medicine, McMaster University, Hamilton, Canada
| | - André Lamy
- Department of Surgery, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
| | - Robert Sapsford
- Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Colin Williams
- Royal Liverpool University Hospital, Liverpool, United Kingdom
| | - William Ka Kei Wu
- Department of Anaesthesia and Intensive Care, Chinese University of Hong Kong, New Territories, Hong Kong
| | - Olga L Cortés
- Research Department and Nursing Department, Fundación Cardioinfantil-Instituto de Cardiología, Bogotá DC, Colombia
| | - S Danielle MacNeil
- Schulich School of Medicine and Dentistry, Western University, London, Canada; Otolaryngology-Head & Neck Surgery, London Health Sciences Centre, London, Canada
| | - Ameen Patel
- Department of Medicine, McMaster University, Hamilton, Canada
| | - Emilie P Belley-Côté
- Department of Medicine, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
| | - Sandra Ofori
- Population Health Research Institute, Hamilton, Canada; Department of Medicine, McMaster University, Hamilton, Canada
| | - William F McIntyre
- Department of Medicine, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
| | - Darryl P Leong
- Department of Medicine, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
| | - Diane Heels-Ansdell
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Canada
| | | | - P J Devereaux
- Department of Medicine, McMaster University, Hamilton, Canada; Population Health Research Institute, Hamilton, Canada
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Barros GWF, Eriksson M, Häggström J. Performance of modeling and balancing approach methods when using weights to estimate treatment effects in observational time-to-event settings. PLoS One 2023; 18:e0289316. [PMID: 38060567 PMCID: PMC10703278 DOI: 10.1371/journal.pone.0289316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 07/16/2023] [Indexed: 12/18/2023] Open
Abstract
In observational studies weighting techniques are often used to overcome bias due to confounding. Modeling approaches, such as inverse propensity score weighting, are popular, but often rely on the correct specification of a parametric model wherein neither balance nor stability are targeted. More recently, balancing approach methods that directly target covariate imbalances have been proposed, and these allow the researcher to explicitly set the desired balance constraints. In this study, we evaluate the finite sample properties of different modeling and balancing approach methods, when estimating the marginal hazard ratio, through Monte Carlo simulations. The use of the different methods is also illustrated by analyzing data from the Swedish stroke register to estimate the effect of prescribing oral anticoagulants on time to recurrent stroke or death in stroke patients with atrial fibrillation. In simulated scenarios with good overlap and low or no model misspecification the balancing approach methods performed similarly to the modeling approach methods. In scenarios with bad overlap and model misspecification, the modeling approach method incorporating variable selection performed better than the other methods. The results indicate that it is valuable to use methods that target covariate balance when estimating marginal hazard ratios, but this does not in itself guarantee good performance in situations with, e.g., poor overlap, high censoring, or misspecified models/balance constraints.
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Affiliation(s)
- Guilherme W. F. Barros
- Department of Statistics, Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden
| | - Marie Eriksson
- Department of Statistics, Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden
| | - Jenny Häggström
- Department of Statistics, Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden
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Fung KW, Baik SH, Baye F, Zheng Z, Huser V, McDonald CJ. Effect of common maintenance drugs on the risk and severity of COVID-19 in elderly patients. PLoS One 2022; 17:e0266922. [PMID: 35436293 PMCID: PMC9015134 DOI: 10.1371/journal.pone.0266922] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 03/29/2022] [Indexed: 02/08/2023] Open
Abstract
Background Maintenance drugs are used to treat chronic conditions. Several classes of maintenance drugs have attracted attention because of their potential to affect susceptibility to and severity of COVID-19. Methods Using claims data on 20% random sample of Part D Medicare enrollees from April to December 2020, we identified patients diagnosed with COVID-19. Using a nested case-control design, non-COVID-19 controls were identified by 1:5 matching on age, race, sex, dual-eligibility status, and geographical region. We identified usage of angiotensin-converting enzyme inhibitors (ACEI), angiotensin-receptor blockers (ARB), statins, warfarin, direct factor Xa inhibitors, P2Y12 inhibitors, famotidine and hydroxychloroquine based on Medicare prescription claims data. Using extended Cox regression models with time-varying propensity score adjustment we examined the independent effect of each study drug on contracting COVID-19. For severity of COVID-19, we performed extended Cox regressions on all COVID-19 patients, using COVID-19-related hospitalization and all-cause mortality as outcomes. Covariates included gender, age, race, geographic region, low-income indicator, and co-morbidities. To compensate for indication bias related to the use of hydroxychloroquine for the prophylaxis or treatment of COVID-19, we censored patients who only started on hydroxychloroquine in 2020. Results Up to December 2020, our sample contained 374,229 Medicare patients over 65 who were diagnosed with COVID-19. Among the COVID-19 patients, 278,912 (74.6%) were on at least one study drug. The three most common study drugs among COVID-19 patients were statins 187,374 (50.1%), ACEI 97,843 (26.2%) and ARB 83,290 (22.3%). For all three outcomes (diagnosis, hospitalization and death), current users of ACEI, ARB, statins, warfarin, direct factor Xa inhibitors and P2Y12 inhibitors were associated with reduced risks, compared to never users. Famotidine did not show consistent significant effects. Hydroxychloroquine did not show significant effects after censoring of recent starters. Conclusion Maintenance use of ACEI, ARB, warfarin, statins, direct factor Xa inhibitors and P2Y12 inhibitors was associated with reduction in risk of acquiring COVID-19 and dying from it.
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Affiliation(s)
- Kin Wah Fung
- Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail:
| | - Seo H. Baik
- Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Fitsum Baye
- Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Zhaonian Zheng
- Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Vojtech Huser
- Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Clement J. McDonald
- Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
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Wang X, Younan D, Petkus AJ, Beavers DP, Espeland MA, Chui HC, Resnick SM, Gatz M, Kaufman JD, Wellenius GA, Whitsel EA, Manson JE, Chen JC. Ambient Air Pollution and Long-Term Trajectories of Episodic Memory Decline among Older Women in the WHIMS-ECHO Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:97009. [PMID: 34516296 PMCID: PMC8437247 DOI: 10.1289/ehp7668] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 08/17/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Episodic memory decline varies by age and underlying neuropathology. Whether ambient air pollution contributes to the heterogeneity of episodic memory decline in older populations remains unclear. OBJECTIVES We estimated associations between air pollution exposures and episodic memory decline according to pollutant, exposure time window, age, and latent class subgroups defined by episodic memory trajectories. METHODS Participants were from the Women's Health Initiative Memory Study-Epidemiology of Cognitive Health Outcomes. Older women (n = 2,056 ; 74-92 years of age) completed annual (2008-2018) episodic memory assessments using the telephone-based California Verbal Learning Test (CVLT). We estimated 3-y average fine particulate matter [PM with an aerodynamic diameter of ≤ 2.5 μ m (PM 2.5 )] and nitrogen dioxide (NO 2 ) exposures at baseline and 10 y earlier (recent and remote exposures, respectively), using regionalized national universal kriging. Separate latent class mixed models were used to estimate associations between interquartile range increases in exposures and CVLT trajectories in women ≤ 80 and > 80 years of age , adjusting for covariates. RESULTS Two latent classes were identified for women ≤ 80 years of age (n = 828 ), "slow-decliners" {slope = - 0.12 / y [95% confidence interval (CI): - 0.23 , - 0.01 ] and "fast-decliners" [slope = - 1.79 / y (95% CI: - 2.08 , - 1.50 )]}. In the slow-decliner class, but not the fast-decliner class, PM 2.5 exposures were associated with a greater decline in CVLT scores over time, with a stronger association for recent vs. remote exposures [- 0.16 / y (95% CI: - 2.08 , - 0.03 ) per 2.88 μ g / m 3 and - 0.11 / y (95% CI: - 0.22 , 0.01) per 3.27 μ g / m 3 , respectively]. Among women ≥ 80 years of age (n = 1,128 ), the largest latent class comprised "steady-decliners" [slope = - 1.35 / y (95% CI: - 1.53 , - 1.17 )], whereas the second class, "cognitively resilient", had no decline in CVLT on average. PM 2.5 was not associated with episodic memory decline in either class. A 6.25 -ppb increase in recent NO 2 was associated with nonsignificant acceleration of episodic memory decline in the ≤ 80 -y-old fast-decliner class [- 0.21 / y (95% CI: - 0.45 , 0.04)], and in the > 80 -y-old cognitively resilient class [- 0.10 / y (95% CI: - 0.24 , 0.03)] and steady-decliner class [- 0.11 / y (95% CI: - 0.27 , 0.05)]. Associations with recent NO 2 exposure in women > 80 years of age were stronger and statistically significant when 267 women with incident probable dementia were excluded [e.g., - 0.12 / y (95% CI: - 0.22 , - 0.02 ) for the cognitively resilient class]. In contrast with changes in CVLT over time, there were no associations between exposures and CVLT scores during follow-up in any subgroup. DISCUSSION In a community-dwelling U.S. population of older women, associations between late-life exposure to ambient air pollution and episodic memory decline varied by age-related cognitive trajectories, exposure time windows, and pollutants. https://doi.org/10.1289/EHP7668.
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Affiliation(s)
- Xinhui Wang
- Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Diana Younan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Andrew J. Petkus
- Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Daniel P. Beavers
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Mark A. Espeland
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Helena C. Chui
- Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Department of Health and Human Services, Baltimore, Maryland, USA
| | - Margaret Gatz
- Center for Economic and Social Research, University of Southern California, Los Angeles, California, USA
| | - Joel D. Kaufman
- Departments of Environmental & Occupational Health Sciences, Medicine (General Internal Medicine), and Epidemiology, University of Washington, Seattle, Washington, USA
| | - Gregory A. Wellenius
- Department of Environmental Health, Boston University, Boston, Massachusetts, USA
| | - Eric A. Whitsel
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - JoAnn E. Manson
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jiu-Chiuan Chen
- Department of Neurology, University of Southern California, Los Angeles, California, USA
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
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