Actively Recruiting

Age: 40Years - 60Years
FEMALE
NCT07292857

Comparing and Predicting the Risk of Respiratory Tract Infection (RTI) Among Post-menopausal Women on or Without Hormone Replacement Therapy (HRT): an Observational Cohort Study

Led by Insel Gruppe AG, University Hospital Bern · Updated on 2025-12-18

400

Participants Needed

1

Research Sites

75 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Background: Respiratory tract infections (RTIs) are a major public health concern. Global studies published in Lancet Infect. Dis. highlight the persistent morbidity and mortality from RTIs, with upper- and lower-RTIs collectively accounting for more than 100 million disability-adjusted-life-years per year. During menopause, hormonal changes alongside other factors increase the risk for illnesses, such as RTIs, COPD, cardiovascular disease, and diabetes. However, it remains unknown how hormone-replacement therapy during menopause might impact the frequency or severity of RTIs. While hormone replacement therapy (HRT) is often prescribed for menopausal symptom relief, its potential impact on RTI risk and severity has not been examined. Objective: This observational cohort study aims to compare and predict the risk of RTI among postmenopausal women, with a particular focus on the influence of HRT. The principal aim is to compare the rates and severity of respiratory tract infections in postmenopausal women taking or not taking HRT. The secondary aims are to characterize risk factors for RTI in postmenopausal women and identify signals in wearable data that predict the onset of an RTI before symptoms become apparent. Methods: 400 women aged 40-60 will be studied, stratified into two groups: postmenopausal women taking HRT, and postmenopausal women not taking HRT. Participants will each be followed for six months, with RTI episodes recorded through self-reporting and confirmed by laboratory tests. Wearable devices will continuously monitor physiological parameters (e.g., heart rate, sleep patterns), and questionnaires will assess lifestyle factors, medical history, and environmental exposure. Statistical modeling and machine learning approaches will be used to analyze infection predictors and develop a model that predicts the risk of onset of an RTI. Impact: Half of the world's population inevitably undergoes menopause, and this important life transition has wide-ranging impacts on women's health and quality of life for decades. Studies show that women spend more of their lives in poor health than men, with far-reaching impacts on a woman's participation in society, career performance, and ability to care for other family members. A better understanding of risk factors for respiratory infections in menopausal women and whether hormone-replacement therapy influences RTIs will contribute much-needed knowledge to enable better health management strategies for women. Furthermore, an "early-warning" system based on wearable signals will provide a valuable tool for quick intervention and to reduce the spread of infectious illnesses. Such an "early-warning" system will subsequently be tested for applicability across a broader representation of society as a preventive health measure and tool for pandemic preparedness. Conclusion: Findings will enhance understanding of RTI risk and management in menopausal women and contribute to the development of personalized prevention strategies. Future applications include a wearable-based medical device for real-time RTI risk assessment, potentially reducing antibiotic overuse and improving healthcare efficiency. By enabling early detection and risk stratification, this study paves the way for a proactive and personalized approach to respiratory health in postmenopausal women, ultimately shifting the focus to prevention.

CONDITIONS

Official Title

Comparing and Predicting the Risk of Respiratory Tract Infection (RTI) Among Post-menopausal Women on or Without Hormone Replacement Therapy (HRT): an Observational Cohort Study

Who Can Participate

Age: 40Years - 60Years
FEMALE

Eligibility Criteria

Eligible

You may qualify if you...

  • Biological sex: female
  • Age between 40 and 60 years
  • Willing and able to give informed consent
  • Fluent in German
  • Agree to wear a Garmin Vivosmart 5 smartwatch most of the time during the 6-month study
  • Own a smartphone compatible with the Fitrockr app
  • Confirmed postmenopausal status by either 12 months of no menstruation, 6 months with hormone confirmation, or bilateral oophorectomy at least 6 weeks before enrollment
Not Eligible

You will not qualify if you...

  • Unable to provide informed consent
  • Known allergy to polycarbonate (material of the smartwatch band)
  • Poorly controlled asthma (ACT score below 20 despite medication)
  • Use of injectable asthma drugs with broad immunomodulatory effects
  • Coronary artery disease
  • Diabetes mellitus diagnosis
  • Cancer diagnosis
  • Chronic kidney disease diagnosis
  • Confirmed familial hypercholesterolemia
  • Sleep apnea treated with bi-level positive airway pressure
  • Chronic rhinosinusitis
  • Severe chronic obstructive pulmonary disease (stage 3 or 4) or interstitial lung disease with hospitalization for respiratory symptoms in the last 12 months
  • Any condition or treatment considered incompatible with study objectives by investigators
  • Employment in the gynecological endocrinology section or relation to the principal investigator
  • Participation in another clinical interventional study
  • Inability to pair smartphone with the smartwatch
  • Unable to comply with study procedures due to language, psychiatric illness, or inability to attend study site

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Trial Site Locations

Total: 1 location

1

University Hospital of Bern, Department of Gynecological Endocrinology & Reproductive Medicine

Bern, Switzerland, 3010

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Research Team

P

Petra Stute, Prof. Dr. med.

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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