A report on an evaluation of the HOPE, worldwide seniors day 2003

The HOPE worldwide 1 (HWW) in Hong Kong has been chartered as a charity organization since 1993 with its focus on organizing service programmes in China, Hong Kong and Taiwan. Amongst these, the Hope for Seniors Day is one of the many attempts initiated by the HWW to meet the urgent needs of the growing ageing population in Hong Kong. Starting from 1996, volunteers from corporations and social organizations have been recruited for the Hope for Seniors Day on an annual basis. The programme aims at giving practical assistance to elderly people who are living alone in public housing estates, as well as building up relationship between the volunteers and the elderly. The volunteers help clean and repaint the seniors\u27 homes. In the past 7 years, the programme has already served over 37,000 single elderly people and mobilized more than 15,000 volunteers to participate

Automated iterative neutrosophic lung segmentation for image analysis in thoracic computed tomography

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134994/1/mp2679.pd

Atherosclerotic Cardiovascular Events in Cancer Patients Treated With Immune Checkpoint Inhibitors: A Retrospective Cohort Study.

BACKGROUND Immune checkpoint inhibitors (ICIs) are effective therapies for numerous cancers, but have been associated with atherosclerotic cardiovascular disease (ASCVD). This study aimed to identify predictors for ASCVD events among cancer patients treated with ICIs and the cardiovascular risk factor (CVRF) control of those who developed ASCVD. METHOD A single-centre retrospective study of 366 cancer patients who received ICIs from 2018 to 2020 was performed. Demographic, baseline CVRF, cancer history, and ICI regimen data were obtained from medical records. The primary end point of ASCVD events was defined as myocardial infarction, coronary revascularisation, ischaemic stroke, or acute limb ischaemia. Cox proportional multivariable modelling and competing risks analysis were performed to assess ASCVD predictors. Descriptive analysis was performed to describe CVRF management among those who developed ASCVD events. RESULTS Over a median follow-up of 3.4 years (2.8-4.3), 26 patients (7.1%) experienced 27 ASCVD events (seven myocardial infarction, one coronary revascularisation, 13 ischaemic stroke, and six acute limb ischaemia events). There were 226 (61.8%) cancer-related deaths and no cardiac deaths. History of ASCVD before ICI initiation was independently associated with ASCVD events on traditional Cox modelling (hazard ratio [HR] 4.00; 95% confidence interval [CI] 1.79-8.91; p<0.01) and competing risks analysis (HR 4.23; 95% CI 1.87-9.60; p<0.01). A total of 17 patients developed ASCVD events after ICI cessation (median 1.4 years). Among those with ASCVD events, 12 had prior ASCVD, 16 had hypertension, nine had hypercholesterolaemia, and four had diabetes, and nine were actively smoking. Variable prescription of cardiovascular preventative therapies was noted. CONCLUSIONS History of ASCVD was associated with subsequent ASCVD events among patients treated with ICIs, which could occur even after active treatment was stopped. Identification and aggressive management of modifiable CVRFs should be considered throughout cancer survivorship in patients who received ICI treatment

Computerâ aided detection of lung nodules: False positive reduction using a 3D gradient field method and 3D ellipsoid fitting

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134878/1/mp4667.pd

Pulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135002/1/mp2575.pd

Automatic multiscale enhancement and segmentation of pulmonary vessels in CT pulmonary angiography images for CAD applications

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135074/1/mp4558.pd

Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computerâ aided diagnosis system

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135039/1/mp5762.pd

Using smartphones to reduce research burden in a neurodegenerative population and assessing participant adherence: A randomized clinical trial and two observational studies

BACKGROUND: Smartphone studies provide an opportunity to collect frequent data at a low burden on participants. Therefore, smartphones may enable data collection from people with progressive neurodegenerative diseases such as amyotrophic lateral sclerosis at high frequencies for a long duration. However, the progressive decline in patients\u27 cognitive and functional abilities could also hamper the feasibility of collecting patient-reported outcomes, audio recordings, and location data in the long term. OBJECTIVE: The aim of this study is to investigate the completeness of survey data, audio recordings, and passively collected location data from 3 smartphone-based studies of people with amyotrophic lateral sclerosis. METHODS: We analyzed data completeness in three studies: 2 observational cohort studies (study 1: N=22; duration=12 weeks and study 2: N=49; duration=52 weeks) and 1 clinical trial (study 3: N=49; duration=20 weeks). In these studies, participants were asked to complete weekly surveys; weekly audio recordings; and in the background, the app collected sensor data, including location data. For each of the three studies and each of the three data streams, we estimated time-to-discontinuation using the Kaplan-Meier method. We identified predictors of app discontinuation using Cox proportional hazards regression analysis. We quantified data completeness for both early dropouts and participants who remained engaged for longer. RESULTS: Time-to-discontinuation was shortest in the year-long observational study and longest in the clinical trial. After 3 months in the study, most participants still completed surveys and audio recordings: 77% (17/22) in study 1, 59% (29/49) in study 2, and 96% (22/23) in study 3. After 3 months, passively collected location data were collected for 95% (21/22), 86% (42/49), and 100% (23/23) of the participants. The Cox regression did not provide evidence that demographic characteristics or disease severity at baseline were associated with attrition, although it was somewhat underpowered. The mean data completeness was the highest for passively collected location data. For most participants, data completeness declined over time; mean data completeness was typically lower in the month before participants dropped out. Moreover, data completeness was lower for people who dropped out in the first study month (very few data points) compared with participants who adhered long term (data completeness fluctuating around 75%). CONCLUSIONS: These three studies successfully collected smartphone data longitudinally from a neurodegenerative population. Despite patients\u27 progressive physical and cognitive decline, time-to-discontinuation was higher than in typical smartphone studies. Our study provides an important benchmark for participant engagement in a neurodegenerative population. To increase data completeness, collecting passive data (such as location data) and identifying participants who are likely to adhere during the initial phase of a study can be useful. TRIAL REGISTRATION: ClinicalTrials.gov NCT03168711; https://clinicaltrials.gov/ct2/show/NCT03168711

Inorganic Arsenic Poisoning Following An Intentional Overdose Of Realgar-Containing Niu Huang Jie Du Pian: A Case report and Literature Review

Background: Niu Huang Jie Du Pian (NHJDP) is a widely used realgar-containing Chinese medicine remedy. Most brands are composed of eight ingredients: Niuhuang (Calculus Bovis), Xionghuang (realgar), gypsum (calcium sulphate), Dahuang (Radix et Rhizoma Rhei), Huangqin (Radix Scutellariae), Jugeng (Platycodon grandiflorum), Bingpian (borneol), and Gancao (Radix Glycyrrhizae uralensis, licorice root). Most users are not aware that Xionghuang (realgar) contains arsenic disulphide [As2S2]. Inorganic arsenic poisoning after therapeutic overdoses has been reported in Chinese literature, but no report of acute, intentional overdose of NHJDP has been published. We report a case of intentional overdose of NHJDP leading to arsenic poisoning. Case Presentation: A 33-year-old woman ingested approximately 100 tablets of NHJDP bought over the counter, along with her usual antidepressants. She presented with somnolence, agitation, epigastric pain and repeated vomiting, compatible with clinical toxicities of NHJDP reported in Chinese literature. At presentation, blood and spot urine arsenic levels were 440.9 and 7,495 nmol/L, respectively. The patient’s condition improved rapidly after admission and chelation therapy was not deemed to be necessary. Discussion: Despite the self-limiting clinical course, the high arsenic level in the patient’s blood and urine raises safety concerns regarding the use of NHJDP in the community. Inconsistencies in the sales regulation of arsenic-containing products, and a lack of product label warning regarding arsenic content, may potentiate inadvertent arsenic poisoning.  Conclusion: Clinician should be aware of the possibility of inorganic arsenic poisoning when treating patients with overdose of Chinese medicine remedies that contain Xionghuang (realgar). Proper product labelling may help reduce inadvertent arsenic poisoning

Incorporating Resource Safety Verification to Executable Model-based Development for Embedded Systems

This paper formulates and illustrates the integration of resource safety verification into a design methodology for development of verified and robust real-time embedded systems. Resource-related concerns are not closely linked with current xUML model-based software development although they are critical for embedded systems. We describe how to integrate resource analysis techniques into the early phase of an xUML-based development cycle. Our hybrid framework for resource safety verification combines static resource analysis and runtime monitoring. A case study based on an embedded controller for satellite simulation, TableSat, illustrates the benefits obtained by incorporating resource verification into design and combining static analysis and runtime monitoring. 1