1.Diabetic Ketoacidosis in End Stage Renal Failure Patient On Maintenance Dialysis – Key Challenges in Management
Xue Meng Lim ; Christopher Thiam Seong Lim
Malaysian Journal of Medicine and Health Sciences 2020;16(No.1):345-347
Diabetic ketoacidosis (DKA) is a medical emergency which requires prompt management to prevent mortality. Treatment is complicated in end stage renal failure (ESRF) patients due to their altered physiology in sugar metabolism and fluid haemodynamics. To date, there are only a few case reports illustrating the presentation and management of DKA in ESRF patients and a definite guideline on treatment of DKA in ESRF is seriously lacking. We report here a case of an ESRF patient on maintenance haemodialysis, who develops DKA due to missed insulin, and outline our successful treatment plan. We hope our reported case report research can further contribute to the knowledge of DKA management in ESRF.
2.National surgical antibiotic prophylaxis guideline in Singapore.
Wei Teng Gladys CHUNG ; Humaira SHAFI ; Jonathan SEAH ; Parthasarathy PURNIMA ; Taweechai PATUN ; Kai Qian KAM ; Valerie Xue Fen SEAH ; Rina Yue Ling ONG ; Li LIN ; Robin Sing Meng CHOO ; Pushpalatha LINGEGOWDA ; Cheryl Li Ling LIM ; Jasmine Shimin CHUNG ; Nathalie Grace S Y CHUA ; Tau Hong LEE ; Min Yi YAP ; Tat Ming NG ; Jyoti SOMANI
Annals of the Academy of Medicine, Singapore 2022;51(11):695-711
INTRODUCTION:
Institutional surgical antibiotic prophylaxis (SAP) guidelines are in place at all public hospitals in Singapore, but variations exist and adherence to guidelines is not tracked consistently. A national point prevalence survey carried out in 2020 showed that about 60% of surgical prophylactic antibiotics were administered for more than 24 hours. This guideline aims to align best practices nationally and provides a framework for audit and surveillance.
METHOD:
This guideline was developed by the National Antimicrobial Stewardship Expert Panel's National Surgical Antibiotic Prophylaxis Guideline Development Workgroup Panel, which comprises infectious diseases physicians, pharmacists, surgeons and anaesthesiologists. The Workgroup adopted the ADAPTE methodology framework with modifications for the development of the guideline. The recommended duration of antibiotic prophylaxis was graded according to the strength of consolidated evidence based on the scoring system of the Singapore Ministry of Health Clinical Practice Guidelines.
RESULTS:
This National SAP Guideline provides evidence-based recommendations for the rational use of antibiotic prophylaxis. These include recommended agents, dose, timing and duration for patients undergoing common surgeries based on surgical disciplines. The Workgroup also provides antibiotic recommendations for special patient population groups (such as patients with β-lactam allergy and patients colonised with methicillin-resistant Staphylococcus aureus), as well as for monitoring and surveillance of SAP.
CONCLUSION
This evidence-based National SAP Guideline for hospitals in Singapore aims to align practices and optimise the use of antibiotics for surgical prophylaxis for the prevention of surgical site infections while reducing adverse events from prolonged durations of SAP.
Humans
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Antibiotic Prophylaxis
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Anti-Bacterial Agents/therapeutic use*
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Methicillin-Resistant Staphylococcus aureus
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Singapore
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Surgeons
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Hospitals, Public
3.DPHL:A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery
Zhu TIANSHENG ; Zhu YI ; Xuan YUE ; Gao HUANHUAN ; Cai XUE ; Piersma R. SANDER ; Pham V. THANG ; Schelfhorst TIM ; Haas R.G.D. RICHARD ; Bijnsdorp V. IRENE ; Sun RUI ; Yue LIANG ; Ruan GUAN ; Zhang QIUSHI ; Hu MO ; Zhou YUE ; Winan J. Van Houdt ; Tessa Y.S. Le Large ; Cloos JACQUELINE ; Wojtuszkiewicz ANNA ; Koppers-Lalic DANIJELA ; B(o)ttger FRANZISKA ; Scheepbouwer CHANTAL ; Brakenhoff H. RUUD ; Geert J.L.H. van Leenders ; Ijzermans N.M. JAN ; Martens W.M. JOHN ; Steenbergen D.M. RENSKE ; Grieken C. NICOLE ; Selvarajan SATHIYAMOORTHY ; Mantoo SANGEETA ; Lee S. SZE ; Yeow J.Y. SERENE ; Alkaff M.F. SYED ; Xiang NAN ; Sun YAOTING ; Yi XIAO ; Dai SHAOZHENG ; Liu WEI ; Lu TIAN ; Wu ZHICHENG ; Liang XIAO ; Wang MAN ; Shao YINGKUAN ; Zheng XI ; Xu KAILUN ; Yang QIN ; Meng YIFAN ; Lu CONG ; Zhu JIANG ; Zheng JIN'E ; Wang BO ; Lou SAI ; Dai YIBEI ; Xu CHAO ; Yu CHENHUAN ; Ying HUAZHONG ; Lim K. TONY ; Wu JIANMIN ; Gao XIAOFEI ; Luan ZHONGZHI ; Teng XIAODONG ; Wu PENG ; Huang SHI'ANG ; Tao ZHIHUA ; Iyer G. NARAYANAN ; Zhou SHUIGENG ; Shao WENGUANG ; Lam HENRY ; Ma DING ; Ji JIAFU ; Kon L. OI ; Zheng SHU ; Aebersold RUEDI ; Jimenez R. CONNIE ; Guo TIANNAN
Genomics, Proteomics & Bioinformatics 2020;18(2):104-119
To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.