Exploring the efficacy and safety of acupuncture versus sham acupuncture for diminished ovarian reserve: study protocol for a multicentre randomised controlled trial.

INTRODUCTION: The therapeutic needs of women with diminished ovarian reserve (DOR), coupled with the increasing application of acupuncture in improving ovarian function, have highlighted the need to verify the efficacy and safety of acupuncture for DOR. This study aims to provide high-quality evidence by evaluating both ovarian reserve and in vitro fertilisation (IVF) outcomes. METHODS AND ANALYSIS: A large-scale, multicentre, randomised controlled trial will be carried out across seven hospitals in China. 400 women with DOR will be randomised in a 1:1 ratio to an acupuncture group or a sham acupuncture group. Acupuncture or sham acupuncture will consist of 36 sessions per participant over 12 weeks. The primary outcome will be the change in antral follicle count (AFC) at week 12 from baseline. Secondary outcomes are AFC at week 24, the serum levels of basal follicle-stimulating hormone and anti-Mullerian hormone at weeks 12 and 24, the scores of the Self-Rating Anxiety Scale at weeks 12 and 24, clinical pregnancy rate, and IVF embryo transfer related outcomes. Any adverse events during treatment will be documented. ETHICS AND DISSEMINATION: The study protocol has been approved by all the participating institutions. Written informed consent will be obtained prior to participant enrolment. The results of this study will be published in peer-reviewed publications. TRIAL REGISTRATION NUMBER: ChiCTR2200062295 PROTOCOL VERSION: V2.0-20220317.

The effect of including dynamic imaging derived airway wall motion in CFD simulations of respiratory airflow in patients with OSA.

Obstructive sleep apnea (OSA) is an airway disease caused by periodic collapse of the airway during sleep. Imaging-based subject-specific computational fluid dynamics (CFD) simulations allow non-invasive assessment of clinically relevant metrics such as total pressure loss (TPL) in patients with OSA. However, most of such studies use static airway geometries, which neglect physiological airway motion. This study aims to quantify how much the airway moves during the respiratory cycle, and to determine how much this motion affects CFD pressure loss predictions. Motion of the airway wall was quantified using cine MRI data captured over a single respiratory cycle in three subjects with OSA. Synchronously-measured respiratory airflow was used as the flow boundary condition for all simulations. Simulations were performed for full respiratory cycles with 5 different wall boundary conditions: (1) a moving airway wall, and static airway walls at (2) peak inhalation, (3) end inhalation, (4) peak exhalation, and (5) end exhalation. Geometric analysis exposed significant local airway cross-sectional area (CSA) variability, with local CSA varying as much as 300%. The comparative CFD simulations revealed the discrepancies between dynamic and static wall simulations are subject-specific, with TPL differing by up to 400% between static and dynamic simulations. There is no consistent pattern to which static wall CFD simulations overestimate or underestimate the airway TPL. This variability underscores the complexity of accurately modeling airway physiology and the importance of considering dynamic anatomical factors to predict realistic respiratory airflow dynamics in patients with OSA.

Effects of decongestion on nasal cavity air conditioning efficiency: a CFD cohort study.

Decongestion reduces blood flow in the nasal turbinates, enlarging the airway lumen. Although the enlarged airspace reduces the trans-nasal inspiratory pressure drop, symptoms of nasal obstruction may relate to nasal cavity air-conditioning. Thus, it is necessary to quantify the efficiency of nasal cavity conditioning of the inhaled air. This study quantifies both overall and regional nasal air-conditioning in a cohort of 10 healthy subjects using computational fluid dynamics simulations before and after nasal decongestion. The 3D virtual geometry model was segmented from magnetic resonance images (MRI). Each subject was under two MRI acquisitions before and after the decongestion condition. The effects of decongestion on nasal cavity air conditioning efficiency were modelled at two inspiratory flowrates: 15 and 30 L min-1 to represent restful and light exercise conditions. Results show inhaled air was both heated and humidified up to 90% of alveolar conditions at the posterior septum. The air-conditioning efficiency of the nasal cavity remained nearly constant between nostril and posterior septum but dropped significantly after posterior septum. In summary, nasal cavity decongestion not only reduces inhaled air added heat by 23% and added moisture content by 19%, but also reduces the air-conditioning efficiency by 35% on average.