1.Defective T wave combined with incomplete right bundle branch block: a new electrocardiographic index for diagnosing atrial septal defect.
Mu-xuan WANG ; Gui-fu WU ; Jing-li GU ; Li LI ; Kun LU ; Da YANG ; Long CHEN ; Xi ZHANG ; Fu-tian LUO ; Andrew D MICHAELS ; Hong MA
Chinese Medical Journal 2012;125(6):1057-1062
BACKGROUNDIncomplete right bundle branch block (ICRBBB) is commonly associated with atrial septal defect (ASD), but lacks sufficient diagnostic test characteristics. An abnormal T wave is also often observed in ASD, with horizontal or inverted displacement of the proximal T wave limb in the right precordial leads, termed "defective T wave" (DTW).
METHODSWe examined the diagnostic test characteristics of combining ICRBBB with DTW as a new index to diagnose ASD. A total of 132 consecutive patients with ASD and 132 cases of age/gender-matched controls without ASD were enrolled.
RESULTSSensitivities of DTW, ICRBBB, and both were 87.1% - 87.9%. Specificities were 97.0%, 96.2%, and 100%, respectively. Positive predictive values were 1.3%, 1.1%, and 100.0% respectively, while negative predictive values were 99.9% for each.
CONCLUSIONCombining ICRBBB with DTW in electrocardiogram (ECG) as a new index significantly increased the specificity and positive predictive values while maintaining a high sensitivity in diagnosing ASD.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Bundle-Branch Block ; diagnosis ; physiopathology ; Child ; Child, Preschool ; Electrocardiography ; Female ; Heart Septal Defects, Atrial ; diagnosis ; Humans ; Male ; Middle Aged ; Predictive Value of Tests ; Sensitivity and Specificity
2.The exploration of N6-deoxyadenosine methylation in mammalian genomes.
Xuwen LI ; Zijian ZHANG ; Xinlong LUO ; Jacob SCHRIER ; Andrew D YANG ; Tao P WU
Protein & Cell 2021;12(10):756-768
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3.Genetic polymorphisms in NAT1, NAT2, GSTM1, GSTP1 and GSTT1 and susceptibility to colorectal cancer among Filipinos
Eva Maria C. Cutiongco-de la Paz ; Corazon A. Ngelangel ; Virgilio P. Bañ ; ez ; Francisco T. Roxas ; Catherine Lynn T. Silao ; Jose B. Nevado Jr. ; Alberto B. Roxas ; Oliver G. , Florendo ; Ma. Cecilia M. Sison ; Orlino Bisquera, Jr ; Luminardo M. Ramos ; Elizabeth A. Nuqui ; Arnold Joseph M. Fernandez ; Maria Constancia O. Carrillo ; Beatriz J. Tiangco ; Aileen D. Wang ; Rosalyn H. Sebastian ; Richmond B. Ceniza ; Leander Linus Philip P. Simpao ; Lakan U. Beratio ; Eleanor A. Dominguez ; Albert B. Albay Jr. ; Alfredo Y. Pontejos Jr. ; Nathaniel W. Yang ; Arsenio A. Cabungcal ; Rey A. Desales ; Nelia S. Tan-Liu ; Sullian S. Naval ; Roberto M. Montevirge ; Catalina de Siena E. Gonda-Dimayacyac ; Pedrito Y. Tagayuna ; John A. Coloma ; Gil M. Vicente ; Higinio T. Mappala ; Alex C. Tapia ; Emmanuel F. Montana Jr. ; Jonathan M. Asprer ; Reynaldo O. Joson ; Sergio P. Paguio ; Tristan T. Chipongian ; Joselito F. David ; Florentino C. Doble ; Maria Noemi G. Pato ; Benito B. Bionat Jr ; Hans Francis D. Ferraris ; Adonis A. Guancia ; Eriberto R. Layda ; Andrew D. Dimacali ; Conrado C. Cajucom ; Richard C. Tia ; Mark U. Javelosa ; Regie Lyn P. Santos-Cortez ; Frances Maureen C. Rocamora ; Roemel Jeusep Bueno ; Carmencita D. Padilla
Acta Medica Philippina 2017;51(3):216-222
Objectives. Polymorphisms in metabolic genes which alter rates of bioactivation and detoxification have been shown to modulate susceptibility to colorectal cancer. This study sought to evaluate the colorectal cancer risk from environmental factors and to do polymorphism studies on genes that code for Phase I and II xenobiotic metabolic enzymes among Filipino colorectal cancer patients and matched controls. Methods. A total of 224 colorectal cancer cases and 276 controls from the Filipino population were genotyped for selected polymorphisms in GSTM1, GSTP1, GSTT1, NAT1 and NAT2. Medical and diet histories, occupational exposure and demographic data were also collected for all subject participants.Results. Univariate logistic regression of non-genetic factors identified exposure to UV (sunlight) (OR 1.99, 95% CI: 1.16-3.39) and wood dust (OR 2.66, 95% CI: 1.21-5.83) and moldy food exposure (OR 1.61, 95% CI:1.11-2.35) as risk factors; while the NAT2*6B allele (recessive model OR 1.51, 95% CI :1.06-2.16; dominant model OR 1.87, 95% CI: 1.05-3.33) and homozygous genotype (OR 2.19, 95% CI: 1.19-4.03) were found to be significant among the genetic factors. After multivariate logistic regression of both environmental and genetic factors, only UV radiation exposure (OR 2.08, 95% CI: 1.21-3.58) and wood dust exposure (OR 2.08, 95% CI: 0.95-5.30) remained to be significantly associated with increasing colorectal cancer risk in the study population.Conclusion. This study demonstrated that UV sunlight and wood dust exposure play a greater role in influencing colorectal cancer susceptibility than genotype status from genetic polymorphisms of the GST and the NAT` genes.
Colorectal Neoplasms
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Polymorphism, Genetic
Result Analysis
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