scholarly journals The effect of hormone replacement therapy on the survival of UK women: a retrospective cohort study 1984−2017

Author(s):  
Nurunnahar Akter ◽  
Elena Kulinskaya ◽  
Nicholas Steel ◽  
Ilyas Bakbergenuly

Objective: To estimate the effect of oestrogen-only and combined hormone replacement therapy (HRT) on the hazards of overall and age-specific all-cause mortality in healthy women aged 46 to 65 at first prescription. Design: Matched cohort study. Setting: Electronic primary care records from The Health Improvement Network (THIN) database, UK (1984−2017). Population: 105,199 HRT users (cases) and 224,643 non-users (controls) matched on age and general practice. Methods: Weibull Double-Cox regression models adjusted for age at first treatment, birth cohort, type 2 diabetes, hypertension and hypertension treatment, coronary heart disease, oophorectomy/hysterectomy, body mass index, smoking, and deprivation status. Main outcome measures: All-cause mortality. Results: A total of 21,751 women died over an average of 13.5 years follow-up per participant, of whom 6,329 were users and 15,422 non-users. The adjusted hazard ratio (HR) of overall all-cause mortality in combined HRT users was 0.91 (95%CI 0.88−0.94), and in oestrogen-only users was 0.99 (0.93−1.07), compared to non-users. Age-specific adjusted HRs for participants aged 46-50, 51-55, 56-60, and 61-65 years at first treatment were 0.98 (0.92−1.04), 0.87 (0.82−0.92), 0.88 (0.82−0.93), and 0.92 (0.85−0.98), for combined HRT users compared to non-users, and 1.01 (0.84−1.21), 1.03 (0.89−1.18), 0.98 (0.86−1.12), and 0.93 (0.81−1.07) for oestrogen-only users, respectively. Conclusions: Combined HRT was associated with a 9% lower risk of all-cause mortality and oestrogen-only formulation was not associated with any significant changes. Funding: IFoA. Keywords: Hormone replacement therapy, menopause, mortality, primary care records, THIN. Tweetable abstract: Oestrogen-only HRT is not associated with all-cause mortality and combined HRT reduces the risks.

Author(s):  
Nurunnahar Akter ◽  
Elena Kulinskaya ◽  
Nicholas Steel ◽  
Ilyas Bakbergenuly

Objective: To estimate the effect of oestrogen-only and combined hormone replacement therapy (HRT) on the hazards of overall and age-specific all-cause mortality in healthy women aged 46 to 65 at first prescription. Design: Matched cohort study. Setting: Electronic primary care records from The Health Improvement Network (THIN) database, UK (1984−2017). Population: 105,199 HRT users (cases) and 224,643 non-users (controls) matched on age and general practice. Methods: Weibull-Double-Cox regression models adjusted for age at first treatment, birth cohort, type 2 diabetes, hypertension and hypertension treatment, coronary heart disease, oophorectomy/hysterectomy, body mass index, smoking, and deprivation status. Main outcome measures: All-cause mortality. Results: A total of 21,751 women died over an average of 13.5 years follow-up per participant, of whom 6,329 were users and 15,422 non-users. The adjusted hazard ratio (HR) of overall all-cause mortality in combined HRT users was 0.91 (95%CI 0.88−0.94), and in oestrogen-only users was 0.99 (0.93−1.07), compared to non-users. Age-specific adjusted HRs for participants aged 46-50, 51-55, 56-60, and 61-65 years at first treatment were 0.98 (0.92−1.04), 0.87 (0.82−0.92), 0.88 (0.82−0.93), and 0.92 (0.85−0.98), for combined HRT users compared to non-users, and 1.01 (0.84−1.21), 1.03 (0.89−1.18), 0.98 (0.86−1.12), and 0.93 (0.81−1.07) for oestrogen-only users, respectively. Conclusions: Combined HRT was associated with a 9% lower risk of all-cause mortality and oestrogen-only formulation was not associated with any significant changes. Funding: IFoA. Keywords: Hormone replacement therapy, menopause, mortality, primary care records, THIN. Tweetable abstract: Oestrogen-only HRT is not associated with all-cause mortality and combined HRT reduces the risks.


Author(s):  
Nurunnahar Akter ◽  
Elena Kulinskaya ◽  
Nicholas Steel ◽  
Ilyas Bakbergenuly

Objective: To estimate the effect of hormone replacement therapy (HRT) on the hazards of overall and age-specific all-cause mortality in women aged 46 to 65 at first prescription. Design: Matched cohort study. Setting: Electronic primary care records from The Health Improvement Network (THIN) database, UK (1984−2017). Population: 105,199 cases and 224,643 controls matched on age and general practice (GP). Methods: Parametric Weibull-Cox regression model adjusted for age at first treatment, type of HRT, birth year, type 2 diabetes, hypertension and its treatments, coronary heart disease, oophorectomy/hysterectomy, body mass index, smoking, and deprivation status. Main outcome measures: All-cause mortality. Results: The adjusted hazard ratio (HR) of overall all-cause mortality in combined HRT users was 0.91 (95%CI 0.88−0.94), and in oestrogen-only users was 0.99 (0.93−1.07), respectively, compared to non-users. Age-specific adjusted HRs for all-cause mortality in groups aged 46-50, 51-55, 56-60, and 61-65 years at first treatment were 0.98 (0.92−1.04), 0.87 (0.82−0.92), 0.88 (0.82−0.93), and 0.92 (0.85−0.98), in combined HRT users compared to non-users, and 1.01 (0.84−1.21), 1.03 (0.89−1.18), 0.98 (0.86−1.12), and 0.93 (0.81−1.07) in oestrogen-only users, respectively. Conclusions: Oestrogen-only HRT has no impact on all-cause mortality, but combined HRT reduced the risks. This new information on the long-term risks and benefits of HRT should be used to inform women deciding whether to start or continue with HRT. Funding: IFoA. Keywords: Hormone replacement therapy, menopause, mortality, primary care records. Tweetable abstract: Oestrogen-only HRT is not associated with all-cause mortality and combined HRT reduces the risks.


2021 ◽  
Author(s):  
Hajira Dambha-Miller ◽  
William Hinton ◽  
Mark Joy ◽  
Michael Feher ◽  
Simon de Lusignan

ABSTRACTObjectiveTo investigate the association between Hormone Replacement Therapy (HRT) or Combined Oral Contraception (COCP) use, and the likelihood of death in women with COVID-19.DesignA cohort studySetting465 general practices in England within the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) primary care database.Population1,863,478 women aged over 18 yearsMethodsWe identified a cohort of women with COVID-19 from the computerised medical records of the RCGP RSC database. Mixed-effects logistic regression models were used to quantify the association between HRT or COCP use, and all-cause mortality among women with COVID-19 in unadjusted and adjusted models.ResultsThere were 5451 COVID-19 cases within the cohort. HRT was associated with a significantly lower likelihood of all-cause mortality in COVID-19 (adjusted OR 0.22, 95%□CI 0.05 to 0.94). There were no reported events for all-cause mortality in women prescribed COCPs. This prevented further examination of the impact of COCP.ConclusionsWomen on HRT with COVID-19 had a lower likelihood of death. Further work is needed in larger cohorts to examine the association of COCP in COVID-19. Our findings support the current hypothesis that oestrogens may contribute a protective effect against COVID-19 severity.FundingThis study was funded by a School for Primary Care National Institute for Health Research grant (SPCR2014-10043).


BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e046701
Author(s):  
Tom Alan Ranger ◽  
Judith Burchardt ◽  
Ashley Kieran Clift ◽  
Winnie Xue Mei ◽  
Carol Coupland ◽  
...  

IntroductionHormone replacement therapy (HRT) can help women experiencing menopausal symptoms, but usage has declined due to uncertainty around risks of cancer and some cardiovascular diseases (CVD). Moreover, improved cancer survival rates mean that more women who survive cancer go on to experience menopausal symptoms. Understanding these relationships is important so that women and their clinicians can make informed decisions around the risks and benefits of HRT. This study’s primary aim is to determine the association between HRT use after cancer diagnosis and the risk of cancer-specific mortality. The secondary aims are to investigate the risks of HRT on subsequent cancer, all-cause mortality and CVD.Methods and analysisWe will conduct a population-based longitudinal cohort study of 18–79 year-old women diagnosed with cancer between 1998 and 2020, using the QResearch database. The main exposure is HRT use, categorised based on compound, dose and route of administration, and modelled as a time-varying covariate. Analysis of HRT use precancer and postcancer diagnosis will be conducted separately. The primary outcome is cancer-specific mortality, which will be stratified by cancer site. Secondary outcomes include subsequent cancer diagnosis, CVD (including venous thrombo-embolism) and all-cause mortality. Adjustment will be made for key confounders such as age, body mass index, ethnicity, deprivation index, comorbidities, and cancer grade, stage and treatment. Statistical analysis will include descriptive statistics and Cox proportional hazards models to calculate HRs and 95% CIs.Ethics and disseminationEthical approval for this project was obtained from the QResearch Scientific Committee (Ref: OX24, project title ‘Use of hormone replacement therapy and survival from cancer’). This project has been, and will continue to be, supported by patient and public involvement panels. We intend to the submit the findings for peer-reviewed publication in an academic journal and disseminate them to the public through Cancer Research UK.


2022 ◽  
Vol 8 ◽  
Author(s):  
Ying Liang ◽  
Haoyan Jiao ◽  
Lingbo Qu ◽  
Hao Liu

Although hormone replacement therapy (HRT) use is associated with elevated endometrial cancer(EC) risk, little evidence assesses potential effect-modifiers on HRT-related EC in a long-term follow-up. In this large-scale longitudinal cohort study, we tried to evaluate the association between different HRT types/methods use and risk of EC, and reveal this risk within different body mass index (BMI) groups. In whole cohort, 677 EC occurred during mean 11.6 years follow-up. Cox proportional hazards regression was used to estimate multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals (CIs) with HRT status (never, former, or current) for risk of EC incidence. Current HRT use was not significantly associated with EC risk (HR for current vs. never HRT use: 1.13; 95% CI: 0.92, 1.38) in the whole cohort, but presented a dose-response effect on increased EC risk (HR for >10-year use vs. never HRT use: 1.73; 95% CI: 1.35, 2.21). Moreover, EC risk differed in distinct regimens or subsets (all Pinteraction < 0.05). Estrogen-only use was associated with elevated EC risk (HR for current vs. never HRT use: 1.51; 95% CI: 1.12, 2.04), but women with high BMI (> 30 kg/m2) who currently use estrogen-only harbored decreased EC risk (HR: 0.56; 95% CI: 0.38, 0.82) compared to counterparts without HRT use. Estrogen-only use is associated with increased EC risk, and precise monitoring of EC development for postmenopausal women with long-term HRT use are urgently needed. BMI could serve as an important surrogate to assess this risk.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yanfeng Ren ◽  
Maohua Miao ◽  
Wei Yuan ◽  
Jiangwei Sun

Abstract Background Although a U-shaped association between sleep duration and all-cause mortality has been found in general population, its association in the elderly adults, especially in the oldest-old, is rarely explored. Methods In present cohort study, we prospectively explore the association between sleep duration and all-cause mortality among 15,092 participants enrolled in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 2005 to 2019. Sleep duration and death information was collected by using structured questionnaires. Cox regression model with sleep duration as a time-varying exposure was performed to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs). The dose-response association between them was explored via a restricted cubic spline function. Results During an average follow-up of 4.51 (standard deviation, SD: 3.62) years, 10,768 participants died during the follow-up period. The mean (SD) age of the participants was 89.26 (11.56) years old. Compared to individuals with moderate sleep duration (7–8 hours), individuals with long sleep duration (> 8 hours) had a significantly higher risk of all-cause mortality (HR: 1.13, 95%CI: 1.09–1.18), but not among individuals with short sleep duration (≤ 6 hours) (HR: 1.02, 95%CI: 0.96–1.09). Similar results were observed in subgroup analyses based on age and gender. In the dose-response analysis, a J-shaped association was observed. Conclusions Sleep duration was associated with all-cause mortality in a J-shaped pattern in the elderly population in China.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Úna McMenamin ◽  
Blánaid Hicks ◽  
Carmel Hughes ◽  
Peter Murchie ◽  
Julia Hippisley-Cox ◽  
...  

Abstract Background Hormone replacement therapy (HRT) is widely used and has proven benefits for women with menopausal symptoms. An increasing number of women with cancer experience menopausal symptoms but the safety of HRT use in women with cancer is unclear. There are particular concerns that HRT could accelerate cancer progression in women with cancer, and also that HRT could increase the risk of cardiovascular disease in such women. Therefore, our primary aim is to determine whether HRT use alters the risk of cancer-specific mortality in women with a range of common cancers. Our secondary objectives are to investigate whether HRT alters the risk of second cancers, cardiovascular disease, venous thromboembolism and all-cause mortality. Methods The study will utilise independent population-based data from Wales using the SAIL databank and Scotland based upon the national Prescribing Information System. The study will include women newly diagnosed with common cancers from 2000 to 2016, identified from cancer registries. Women with breast cancers will be excluded. HRT will be ascertained using electronic prescribing in Wales or dispensing records in Scotland. The primary outcome will be time to cancer-specific mortality from national mortality records. Time-dependent cox regression models will be used to calculate hazard ratios (HR) and 95% confidence intervals (95% CIs) for cancer specific death in HRT users compared with non-users after cancer diagnosis after adjusting for relevant confounders, stratified by cancer site. Analysis will be repeated investigating the impact of HRT use immediately before cancer diagnosis. Secondary analyses will be conducted on the risk of second cancers, cardiovascular disease, venous thromboembolism and all-cause mortality. Analyses will be conducted within each cohort and pooled across cohorts. Discussion Our study will provide evidence to inform guidance given to women diagnosed with cancer on the safety of HRT use and/or guide modifications to clinical practice.


Maturitas ◽  
1994 ◽  
Vol 20 (2-3) ◽  
pp. 81-89 ◽  
Author(s):  
F.P.M.J. Groeneveld ◽  
F.P. Bareman ◽  
R. Barentsen ◽  
H.J. Dokter ◽  
A.C. Drogendijk ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Tak Kyu Oh ◽  
In-Ae Song

Abstract Background Previous studies reported that patients with acute kidney injury (AKI) requiring continuous renal replacement therapy (CRRT) after cardiac surgery were at a higher risk of postoperative mortality. However, the impact of AKI and CRRT on long-term mortality has not yet been identified. Therefore, we investigated whether postoperative AKI requiring CRRT was associated with one-year all-cause mortality after coronary artery bypass grafting (CABG). Methods For this population-based cohort study, we analyzed data from the National Health Insurance Service database in South Korea. The cohort included all adult patients diagnosed with ischemic heart disease who underwent isolated CABG between January 2012 and December 2017. Results A total of 15,115 patients were included in the analysis, and 214 patients (1.4%) required CRRT for AKI after CABG during hospitalization. They received CRRT at 3.1 ± 8.5 days after CABG, for 3.1 ± 7.8 days. On multivariable Cox regression, the risk of 1-year all-cause mortality in patients who underwent CRRT was 7.69-fold higher. Additionally, on multivariable Cox regression, the 30-day and 90-day mortality after CABG in patients who underwent CRRT were 18.20-fold and 20.21-fold higher than the normal value, respectively. Newly diagnosed chronic kidney disease (CKD) requiring renal replacement therapy (RRT) 1 year after CABG in patients who underwent CRRT was 2.50-fold higher. In the generalized log-linear Poisson model, the length of hospital stay (LOS) in patients who underwent CRRT was 5% longer. Conclusions This population-based cohort study showed that postoperative AKI requiring CRRT was associated with a higher 1-year all-cause mortality after CABG. Furthermore, it was associated with a higher rate of 30-day and 90-day mortality, longer LOS, and higher rate of CKD requiring RRT 1 year after CABG. Our results suggest that CRRT-associated AKI after CABG may be associated with an increased risk of mortality; hence, there should be interventions in these patients after hospital discharge.


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