1.A Lethal Sequelae of Spinal Infection Complicating Surgery and Radiotherapy for Head and Neck Cancer.
Jason Pui Yin CHEUNG ; Kin Cheung MAK ; Helen Hoi Lun TSANG ; Keith Dip Kei LUK
Asian Spine Journal 2015;9(4):617-620
Patients who have undergone neck dissection and radiotherapy are at risk of cervical spine infections. Furthermore, previous radiotherapy and cervical spine infections can lead to fistula formation to the subarachnoid space and intracranial infection. This report discusses the serious consequences of a missed cervical spine infection including cerebrospinal fluid fistula formation and persistent central nervous system infection, and serves as a reminder to clinicians of the possible association between cervical spine infections and prior head and neck surgery and radiotherapy. In all such cases, the posterior pharyngeal wall should be inspected during follow-up. Despite the appearance of an intracranial infection, the cervical spine should be investigated, especially if the response to appropriate antibiotics is suboptimal.
Anti-Bacterial Agents
;
Central Nervous System Infections
;
Cerebrospinal Fluid
;
Discitis
;
Fistula
;
Follow-Up Studies
;
Head
;
Head and Neck Neoplasms*
;
Humans
;
Neck
;
Neck Dissection
;
Radiotherapy*
;
Spine
;
Subarachnoid Space
2.Hip fracture is associated with a reduced risk of type 2 diabetes: A retrospective cohort study
Suhas KRISHNAMOORTHY ; Casey Tze-Lam TANG ; Warrington Wen-Qiang HSU ; Gloria Hoi-Yee LI ; Chor-Wing SING ; Xiaowen ZHANG ; Kathryn Choon-Beng TAN ; Bernard Man-Yung CHEUNG ; Ian Chi-Kei WONG ; Annie Wai-Chee KUNG ; Ching-Lung CHEUNG
Osteoporosis and Sarcopenia 2024;10(2):60-65
Objectives:
Type 2 diabetes mellitus (T2DM) shares a complex relationship with bone metabolism and few studies investigated the effect of impaired bone health on the risk of T2DM. This study was conducted to investigate the association between hip fractures and the risk of incident T2DM.
Methods:
This is a retrospective cohort study using data from the real-world hip fracture cohort. Hong Kong Chinese patients aged ≥ 65 years without T2DM who were admitted to public hospitals due to a fall between 2008 and 2015 were included in the study. Patients who sustained falls with and without hip fractures were matched by propensity score (PS) at a 1:1 ratio. Competing risk regression was used to evaluate the association between hip fracture and incident T2DM, with death being the competing event.
Results:
A total of 23,314 hip fracture cases were matched to 23,314 controls. The median follow-up time was 5.09 years. The incidence rate of T2DM was 11.947 and 14.505 per 1000 person-years for the hip fracture and control group respectively. After accounting for the competing risk of death, the hip fracture group had a significantly lower risk of developing T2DM (HR: 0.771, 95% CI: 0.719–0.827). Similar results were observed in all subgroups after stratification by age and sex.
Conclusions
Hip fracture was found to be associated with a reduced risk of T2DM. These findings provide insight into the topic of bone and glucose metabolism and prompt further research in evaluating the role of bone health in the management of T2DM.
3.YPED:An Integrated Bioinformatics Suite and Database for Mass Spectrometry-based Proteomics Research
Colangelo M. CHRISTOPHER ; Shifman MARK ; Cheung KEI-HOI ; Stone L. KATHRYN ; Carriero J. NICHOLAS ; Gulcicek E. EROL ; Lam T. TUKIET ; Wu TERENCE ; Bjornson D. ROBERT ; Bruce CAN ; Nairn C. ANGUS ; Rinehart JESSE ; Miller L. PERRY ; Williams R. KENNETH
Genomics, Proteomics & Bioinformatics 2015;(1):25-35
We report a significantly-enhanced bioinformatics suite and database for proteomics research called Yale Protein Expression Database (YPED) that is used by investigators at more than 300 institutions worldwide. YPED meets the data management, archival, and analysis needs of a high-throughput mass spectrometry-based proteomics research ranging from a single laboratory, group of laboratories within and beyond an institution, to the entire proteomics com-munity. The current version is a significant improvement over the first version in that it contains new modules for liquid chromatography–tandem mass spectrometry (LC–MS/MS) database search results, label and label-free quantitative proteomic analysis, and several scoring outputs for phosphopeptide site localization. In addition, we have added both peptide and protein comparative analysis tools to enable pairwise analysis of distinct peptides/proteins in each sample and of overlapping peptides/proteins between all samples in multiple datasets. We have also implemented a targeted proteomics module for automated multiple reaction monitoring (MRM)/selective reaction monitoring (SRM) assay development. We have linked YPED’s database search results and both label-based and label-free fold-change analysis to the Skyline Panorama repository for online spectra visualization. In addition, we have built enhanced functionality to curate peptide identifications into an MS/MS peptide spectral library for all of our protein database search identification results.