MyMedR

Displaying all 7 publications

Abstract:

Sort:

Fulltext National Orthopedic Registry in Malaysia--National Orthopedic Hip Fracture Database (NOHFD)

Muhammad Anwar Hau A

Med J Malaysia, 2008 Sep;63 Suppl C:74.
PMID: 19227678
Fulltext National Orthopedic Registry in Malaysia--National Orthopedics Diabetic Hand and Foot Database (NODFD)

Muhammad Anwar Hau A

Med J Malaysia, 2008 Sep;63 Suppl C:75.
PMID: 19230251
Fulltext Giant sacral chondrosarcoma in an elderly male: a case report

Chan, H. Z., Wang, C. S., Azuhairy, A., Hau, A., Zulkiflee, O.

Malays Orthop J, 2014;8(1):79-81.
MyJurnal

Primary sacral tumours are rare, therefore experience of managing their associated complications are very limited. Effective surgical treatment of pelvic chondrosarcoma remains a major challenge for orthopaedic surgeons, due to the complex anatomic structure of the pelvis, the lack of defined compartment borders, the close vicinity to vital structures, and the risk of jeopardizing pelvic structural stability. We report a rare case of a giant sacral chondrosarcoma (100cm x 80cm) in an elderly male who successfully underwent tumour resection with good functional outcome and recovery. Long term follow up is essential in view of the possibility of local tumour recurrence.
Fulltext Pattern of organisms and antibiotics used in treating diabetes foot infection

Joehaimey, J., M. Anwar Hau A., Kamil, M.K., Jaya Purany, S.P., Saadon, I., Chee Huan, P., et al.

International Medical Journal Malaysia, 2016;15(1):25-30.
MyJurnal

Introduction: The aim of this study is to determine the most common organisms isolated in diabetic foot infection and the most utilised antibiotic regimes as the first line of treatment.
Methods: This is a retrospective record review of the National Orthopaedic Registry Malaysia among diabetes mellitus type 2 patients who had foot infections. All identified cases admitted to 18 government hospitals in Malaysia from the 1st January 2008 until the 31st December, 2009 were included in the study.
Results: A total of 416 patients were included in the study. The most common organisms cultured were Proteus species (17.5%), Klebsiella species (17.1%) and Staphylococcus aureus (17.9%), while the most commonly used antibiotic was ampicillin/sulbactam (67.5%). None of the patients was appropriately treated with metronidazole, cefoperazone or fucidic acid. All patients were given appropriate antibiotics to treat Serratia infection.
Conclusion: Significant number of patients with diabetic foot infections were not treated using appropriate antibiotics as the first line treatment.
Fulltext Giant sacral chondrosarcoma in an elderly male : a case report

Chan H, Wang C, Azuhairy A, Hau A, Zulkiflee O

Malays Orthop J, 2014 Mar;8(1):79-81.
PMID: 25347391 DOI: 10.5704/MOJ.1403.007

Primary sacral tumours are rare, therefore experience of managing their associated complications are very limited. Effective surgical treatment of pelvic chondrosarcoma remains a major challenge for orthopaedic surgeons, due to the complex anatomic structure of the pelvis, the lack of defined compartment borders, the close vicinity to vital structures, and the risk of jeopardizing pelvic structural stability. We report a rare case of a giant sacral chondrosarcoma (100cm x 80cm) in an elderly male who successfully underwent tumour resection with good functional outcome and recovery. Long term follow up is essential in view of the possibility of local tumour recurrence.
KEY WORDS: Giant Chondrosarcoma, Sacrum, Surgery, Elderly Male.
Fulltext GestaltMatcher Database - A global reference for facial phenotypic variability in rare human diseases

Lesmann H, Hustinx A, Moosa S, Klinkhammer H, Marchi E, Caro P, et al.

Res Sq, 2024 Jun 10.
PMID: 38903062 DOI: 10.21203/rs.3.rs-4438861/v1

The most important factor that complicates the work of dysmorphologists is the significant phenotypic variability of the human face. Next-Generation Phenotyping (NGP) tools that assist clinicians with recognizing characteristic syndromic patterns are particularly challenged when confronted with patients from populations different from their training data. To that end, we systematically analyzed the impact of genetic ancestry on facial dysmorphism. For that purpose, we established the GestaltMatcher Database (GMDB) as a reference dataset for medical images of patients with rare genetic disorders from around the world. We collected 10,980 frontal facial images - more than a quarter previously unpublished - from 8,346 patients, representing 581 rare disorders. Although the predominant ancestry is still European (67%), data from underrepresented populations have been increased considerably via global collaborations (19% Asian and 7% African). This includes previously unpublished reports for more than 40% of the African patients. The NGP analysis on this diverse dataset revealed characteristic performance differences depending on the composition of training and test sets corresponding to genetic relatedness. For clinical use of NGP, incorporating non-European patients resulted in a profound enhancement of GestaltMatcher performance. The top-5 accuracy rate increased by +11.29%. Importantly, this improvement in delineating the correct disorder from a facial portrait was achieved without decreasing the performance on European patients. By design, GMDB complies with the FAIR principles by rendering the curated medical data findable, accessible, interoperable, and reusable. This means GMDB can also serve as data for training and benchmarking. In summary, our study on facial dysmorphism on a global sample revealed a considerable cross ancestral phenotypic variability confounding NGP that should be counteracted by international efforts for increasing data diversity. GMDB will serve as a vital reference database for clinicians and a transparent training set for advancing NGP technology.
Fulltext GestaltMatcher Database - A global reference for facial phenotypic variability in rare human diseases

Lesmann H, Hustinx A, Moosa S, Klinkhammer H, Marchi E, Caro P, et al.

medRxiv, 2024 May 21.
PMID: 37503210 DOI: 10.1101/2023.06.06.23290887

The most important factor that complicates the work of dysmorphologists is the significant phenotypic variability of the human face. Next-Generation Phenotyping (NGP) tools that assist clinicians with recognizing characteristic syndromic patterns are particularly challenged when confronted with patients from populations different from their training data. To that end, we systematically analyzed the impact of genetic ancestry on facial dysmorphism. For that purpose, we established the GestaltMatcher Database (GMDB) as a reference dataset for medical images of patients with rare genetic disorders from around the world. We collected 10,980 frontal facial images - more than a quarter previously unpublished - from 8,346 patients, representing 581 rare disorders. Although the predominant ancestry is still European (67%), data from underrepresented populations have been increased considerably via global collaborations (19% Asian and 7% African). This includes previously unpublished reports for more than 40% of the African patients. The NGP analysis on this diverse dataset revealed characteristic performance differences depending on the composition of training and test sets corresponding to genetic relatedness. For clinical use of NGP, incorporating non-European patients resulted in a profound enhancement of GestaltMatcher performance. The top-5 accuracy rate increased by +11.29%. Importantly, this improvement in delineating the correct disorder from a facial portrait was achieved without decreasing the performance on European patients. By design, GMDB complies with the FAIR principles by rendering the curated medical data findable, accessible, interoperable, and reusable. This means GMDB can also serve as data for training and benchmarking. In summary, our study on facial dysmorphism on a global sample revealed a considerable cross ancestral phenotypic variability confounding NGP that should be counteracted by international efforts for increasing data diversity. GMDB will serve as a vital reference database for clinicians and a transparent training set for advancing NGP technology.