Entity

Time filter

Source Type

Ladang Seri Kundang, Malaysia

Liu S.-H.,Johns Hopkins University | Cummings D.A.T.,Johns Hopkins University | Zenilman J.M.,Johns Hopkins University | Gravitt P.E.,Johns Hopkins University | And 2 more authors.
Cancer Epidemiology Biomarkers and Prevention | Year: 2014

Background: Variable detection of human papillomavirus (HPV) DNA can result in misclassification of infection status, but the extent of misclassification has not been quantitatively evaluated. Methods: In 2005-2007, 33 women of ages 22 to 53 years self-collected vaginal swabs twice per week for 16 consecutive weeks. Each of the 955 swabs collected was tested for 37 HPV types/subtypes. Assuming that a woman's underlying infection status did not change over the short study period, biases in prevalence estimates obtained from single versus multiple swabs were calculated. Using event history analysis methods, time to recurrent gain and loss of at least one HPV type was determined, separately. Baseline any-type and high risk- type HPV prevalence was 60.6% and 24.2%, respectively. Cumulative any-HPV and high-risk HPV prevalence over the 16-week period was 84.8% and 60.6%, separately. Results: Overall, there were 319 events of detection and 313 events of loss of detection. Median times to a recurrent detection and loss of detection were 11 and seven days, respectively. Neither vaginal sex nor condom use during follow-up was associated with recurrent viral detection or loss of detection. Assuming the cumulative 16-week prevalence reflects the true prevalence of infection, the baseline any-HPV prevalence underestimated infection status by 24.2%, with a bootstrapped mean of 20.2% [95% confidence interval (CI), 8.9%-29.6%]. Conclusions: These findings suggest that a substantial proportion of HPV-infected women are misclassified as being uninfected when using a single-time DNA measurement. Impact: Short-term variation in detectable HPV DNA needs to be considered while interpreting the natural history of infections using single samples collected at long intervals. Cancer Epidemiol Biomarkers Prev; 23(1); 200-8. © 2013 AACR. Source


Masica D.L.,Johns Hopkins University | Sosnay P.R.,Johns Hopkins University | Sosnay P.R.,Perdana University | Cutting G.R.,Johns Hopkins University | Karchin R.,Johns Hopkins University
Human Mutation | Year: 2012

Cystic fibrosis transmembrane conductance regulator (CFTR) mutation is associated with a phenotypic spectrum that includes cystic fibrosis (CF). The disease liability of some common CFTR mutations is known, but rare mutations are seen in too few patients to categorize unequivocally, making genetic diagnosis difficult. Computational methods can predict the impact of mutation, but prediction specificity is often below that required for clinical utility. Here, we present a novel supervised learning approach for predicting CF from CFTR missense mutation. The algorithm begins by constructing custom multiple sequence alignments called phenotype-optimized sequence ensembles (POSEs). POSEs are constructed iteratively, by selecting sequences that optimize predictive performance on a training set of CFTR mutations of known clinical significance. Next, we predict CF disease liability from a different set of CFTR mutations (test-set mutations). This approach achieves improved prediction performance relative to popular methods recently assessed using the same test-set mutations. Of clinical significance, our method achieves 94% prediction specificity. Because databases such as HGMD and locus-specific mutation databases are growing rapidly, methods that automatically tailor their predictions for a specific phenotype may be of immediate utility. If the performance achieved here generalizes to other systems, the approach could be an excellent tool to help establish genetic diagnoses. © 2012 Wiley Periodicals, Inc. Source


Parthiban N.,University of Adelaide | Parthiban N.,Perdana University | Esterman A.,University of South Australia | Mahajan R.,University of Adelaide | And 7 more authors.
Journal of the American College of Cardiology | Year: 2015

Abstract Background Remote monitoring (RM) of implantable cardioverter-defibrillators (ICD) is an established technology integrated into clinical practice. One recent randomized controlled trial (RCT) and several large device database studies have demonstrated a powerful survival advantage for ICD patients undergoing RM compared with those receiving conventional in-office (IO) follow-up. Objectives This study sought to conduct a systematic published data review and meta-analysis of RCTs comparing RM with IO follow-up. Methods Electronic databases and reference lists were searched for RCTs reporting clinical outcomes in ICD patients who did or did not undergo RM. Data were extracted from 9 RCTs, including 6,469 patients, 3,496 of whom were randomized to RM and 2,973 to IO follow-up. Results In the RCT setting, RM demonstrated clinical outcomes comparable with office follow-up in terms of all-cause mortality (odds ratio [OR]: 0.83; p = 0.285), cardiovascular mortality (OR: 0.66; p = 0.103), and hospitalization (OR: 0.83; p = 0.196). However, a reduction in all-cause mortality was noted in the 3 trials using home monitoring (OR: 0.65; p = 0.021) with daily verification of transmission. Although the odds of receiving any ICD shock were similar in RM and IO patients (OR: 1.05; p = 0.86), the odds of inappropriate shock were reduced in RM patients (OR: 0.55; p = 0.002). Conclusions Meta-analysis of RCTs demonstrates that RM and IO follow-up showed comparable overall outcomes related to patient safety and survival, with a potential survival benefit in RCTs using daily transmission verification. RM benefits include more rapid clinical event detection and a reduction in inappropriate shocks. © 2015 American College of Cardiology Foundation. Source


Gravitt P.E.,Perdana University
Journal of Clinical Investigation | Year: 2011

The discovery that certain high-risk strains of human papillomavirus (HR-HPV) cause nearly 100% of invasive cervical cancer has spurred a revolution in cervical cancer prevention by promoting the development of viral vaccines. Although the efficacy of these vaccines has already been demonstrated, a complete understanding of viral latency and natural immunity is lacking, and solving these mysteries could help guide policies of cervical cancer screening and vaccine use. Here, we examine the epidemiological and biological understanding of the natural history of HPV infection, with an eye toward using these studies to guide the implementation of cervical cancer prevention strategies. Source


Abidin Z.L.Z.,Perdana University | Ming W.T.,Sungai Buloh Hospital | Loch A.,University of Malaya | Hilmi I.,University of Malaya | Hautmann O.,University of Malaya
Transplant International | Year: 2013

The rate of organ donations from deceased donors in Malaysia is among the lowest in the world. This may be because of the passivity among health professionals in approaching families of potential donors. A questionnaire-based study was conducted amongst health professionals in two tertiary hospitals in Kuala Lumpur, Malaysia. Four hundred and sixty-two questionnaires were completed. 93.3% of health professionals acknowledged a need for organ transplantation in Malaysia. 47.8% were willing to donate their organs (with ethnic and religious differences). Factors which may be influencing the shortage of organs from deceased donors include: nonrecognition of brainstem death (38.5%), no knowledge on how to contact the Organ Transplant Coordinator (82.3%), and never approaching families of a potential donor (63.9%). There was a general attitude of passivity in approaching families of potential donors and activating transplant teams among many of the health professionals. A misunderstanding of brainstem death and its definition hinder identification of a potential donor. Continuing medical education and highlighting the role of the Organ Transplant Coordinator, as well as increasing awareness of the public through religion and the media were identified as essential in improving the rate of organ donations from deceased donors in Malaysia. © 2012 The Authors Transplant International © 2012 European Society for Organ Transplantation. Published by Blackwell Publishing Ltd. Source

Discover hidden collaborations