There are about 3753 clinical studies being (or have been) conducted in Hong Kong. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
Ovarian Tissue Cryopreservation will be provided to cancer patients to allow them to have their fertility preserved.
This randomized controlled trial investigates the efficacy and safety of mobile health intervention in managing hypertension after Intracerebral Hemorrhage (ICH).
The purpose of this study is to compare the effectiveness of iberdomide maintenance to lenalidomide maintenance therapy after autologous stem cell transplantation (ASCT) in participants with newly diagnosed multiple myeloma (NDMM).
Early pregnancy loss is very common, approximately one in four women will experience a miscarriage in their lifetime. The etiology of pregnancy loss remains largely unknown, although genetic, anatomical, endocrinological and immunological abnormalities have been implicated. It is known that embryonic/fetal chromosomal aberrations contributed to approximately 50% of early pregnancy loss, among which 60-70% were aneuploidies, largely can be detected by the current gold standard karyotyping approach recommended by various international societies. However, the drawbacks of conventional karyotyping include the risk of culture failure, maternal cell contamination (MCC), limited detection resolution (5-10 Mb), and differential growth of specific cell lineages which could hinder the diagnosis of genetic abnormalities, particularly mosaicisms. Additional genetic factors beyond the resolution of karyotyping are not well studied.
This study aims to develop predictive models for patients with a diagnosis of COPD at discharge of an index admission on these outcomes using machine learning: Primary outcome: Early admission Secondary outcomes: 1. Frequent readmission 2. Composite outcome (Early + Frequent readmissions) 3. Mortality 4. Longstayers
Multi-arm, non-randomized, quality of life
Use of first-line pre-operative antibiotic prophylaxis is the most effective measure to optimize perioperative outcomes. However, this is often not achieved due to unsubstantiated penicillin allergy labels. Penicillin allergy evaluation, when incorporated into routine pre-operative assessment, is potentially effective in optimizing choice of surgical prophylaxis. Despite the encouraging data mentioned above, there is a lack of randomized trials or local data to support this practice.
Objectives: To determine the effectiveness of telerehabilitation on the quality of life and mobility of early post-discharge in hip fracture patients, and to investigate whether telerehabilitation in the form of daily TUG tests recorded digitally will improve recovery outcomes for post-surgery hip fracture patients. Hypothesis to be tested: Main hypothesis: Caregiver empowerment can improve functional walking and quality of life at 1 month after discharge Secondary hypothesis: Hospital readmission and mortality rate can be reduced. Design and subjects: This is a prospective randomised controlled trial and subjects are fracture hip patients Instruments: Timed-Up-and-Go (TUG) test, EuroQol EQ5D-5L, Parker Mobility score Interventions: A videoconference scheduled at the 1st post-discharge week provides clear instructions and directions on how to perform daily exercise prescriptions based on the TUG test. Video instructions and multimedia for review will be provided. Interim videoconference will be conducted again after week 2 to ascertain adherence. Main outcome measures: Primary outcomes: Timed-Up-and-Go (TUG) test taken at day 0 and 28 Secondary outcome: EQ5D-3L and Parker Mobility Score taken on day 0 and 28 Other covariates Patient baseline demographics Classification of hip fractures Type of surgical intervention Comorbidities Any adverse events occurring: - Severe adverse events including: unplanned hospital readmissions, fall injury causing fractures, failure of internal fixation, death - Other adverse events including: unplanned clinic visits, complications requiring change in rehabilitation plan or additional medical/ surgical intervention, complications requiring closer observation Data analysis: Shapiro-Wilk test and independent sample t-test is performed for variables to ascertain normal distribution and compared for main outcomes. Binary variables and categorical variables with Chi-squared tests. Time-based outcomes are compared using Kaplan-Meier time to event analysis and log-rank test. A type 1 error rate / p value of 0.05 is used for statistical significance. Expected results: Fracture hip patients can be benefited from the empowerment program
- To document the clinical utility of diagnostic and/or therapeutic intraoperative endoscopy using a thin, single-use, flexible cholangiopancreatoscope - To identify specific surgical procedures in which intraoperative use of a thin, single use, flexible cholangiopancreatoscope suggests clinically meaningful benefit and generate a hypothesis for possible subsequent claims-supportive study
Study Background: Diabetes mellitus (DM) is a major non-communicable disease. Diagnosis and self-management of DM is important. Currently, detection of diabetes requires blood tests, which is costly and inconvenient, especially for elderlies.Tongue diagnosis has been used in Chinese medicine as a routine diagnostic method, and it has recently been studied for detection of DM and diabetic retinopathy (DR). We have developed a method for taking tongue images using smartphone, which can reveal more detailed features than conventional clinical tongue inspection. There are many limitations of the preliminary study. Therefore, it is our plan in this study to address these specific limitations with the following objectives. The results of this study will enable us to develop a practical App for diabetes screening and monitoring. Study Objective The aim of the study is to develop an algorithm for diabetes screening, with the following objectives: 1. . To determine the sensitivity and specificity of tongue images taken with smartphone in predicting abnormal HbA1c (≥6.5%); 2. To determine tongue image features responsible for the classification of normal and abnormal levels of HbA1c (≥6.5%); 3. To determine the sensitivity and specificity of tongues image in predicting four different levels of HbA1c: <6% (normal), 6-6.4% (prediabetes), 6.5-8.9% (diabetes) and ≥ 9% (diabetes with high HbA1c); 4. To determine the sensitivity and specificity of combining image analysis results with the results from a TCM symptom questionnaire in predicting the four levels of HbA1c. Hypothesis: Our working hypothesis is that different tongue coating features may be associated with different stages of diabetes, as indicated by different levels of HbA1c；and different combination of symptoms from a TCM point of view may also be associated with different levels of HbA1c. Thus, combining tongue image with TCM symptoms may allow a machine learning model to build an algorithm for HbA1c prediction with reasonable accuracy. Inclusion criteria: The inclusion criteria is adult subjects with HbA1c test results from a laboratory that meets the ISO 15189 standard, such as those laboratories used by the Hospital Authority of Hong Kong. Exclusion criteria: Subjects who are unable to give consent, unable to answer the questionnaire or to cooperate in tongue image collection will be excluded. We will not include subject who are unable to understand written Chinese or English. Study design: This is a cross-sectional design looking at the relationship between tongue image pattern and HbA1c reading. Age, gender, weight, height , duration of diabetes, family history of diabetes and any comorbid disease will be recorded. The level of hemoglobin and blood lipid profile will also be recorded if the information is available. Any acute repertory or digestive illness, as well as smoking habits will also be noted. An electronic questionnaire (using Qualtrics survey software) based on published TCM symptoms of diabetes and the abovementioned information will be used for data collection. Data processing and analysis 1. Tongue segmentation The images containing the tongue and its surrounding area will be processed for segmentation of the tongue area. This segmentation is carried out by a computer algorithm developed in-house by machine learning. 2. Machine learning Two approaches will be used in machine learning. In the first approach, we will first perform image classification of either normal or abnormal HbA1c and generate the probabilities for the classification using convolutional neural networks (CNNs) (Anwar et al., 2016; Ødegaard et al., 2016). Then we will try to classify the images into four different classes according to their HbA1c level: <6% (normal), 6-6.4% (prediabetes), 6.5-8.9% (diabetes) and ≥ 9% (diabetes with high HbA1c). Primary Outcome: Tongue image features: We will extract tongue image features and perform image classification of either normal or abnormal HbA1c and generate the probabilities for the classification using convolutional neural networks (CNNs). Then we will try to classify the images into four different classes according to their HbA1c level: <6% (normal), 6-6.4% (prediabetes), 6.5-8.9% (diabetes) and ≥ 9% (diabetes with high HbA1c). Secondary Outcome: Symptom patterns: Questionnaire data will be combined with image data for regression analysis