Journal/Magazine Articles

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This collection contains original research articles, review articles and case reports published in local and international peer reviewed journals by the staff members of the Faculty of Medicine

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Author: search.filters.author.de Silva, H.J.Subject: search.filters.subject.Cohort Studies

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    Validation of the World Health Organization/ International Society of Hypertension (WHO/ISH) cardiovascular risk predictions in Sri Lankans based on findings from a prospective cohort study
    (Public Library of Science, 2021) Thulani, U.B.; Mettananda, K.C.D.; Warnakulasuriya, D.T.D.; Peiris, T.S.G.; Kasturiratne, K.T.A.A.; Ranawaka, U.K.; Chakrewarthy, S.; Dassanayake, A.S.; Kurukulasooriya, S.A.F.; Niriella, M.A.; de Silva, S.T.; Pathmeswaran, A.; Kato, N.; de Silva, H.J.; Wickremasinghe, A.R.
    INTRODUCTION AND OBJECTIVES: There are no cardiovascular (CV) risk prediction models for Sri Lankans. Different risk prediction models not validated for Sri Lankans are being used to predict CV risk of Sri Lankans. We validated the WHO/ISH (SEAR-B) risk prediction charts prospectively in a population-based cohort of Sri Lankans. METHOD: We selected 40-64 year-old participants from the Ragama Medical Officer of Health (MOH) area in 2007 by stratified random sampling and followed them up for 10 years. Ten-year risk predictions of a fatal/non-fatal cardiovascular event (CVE) in 2007 were calculated using WHO/ISH (SEAR-B) charts with and without cholesterol. The CVEs that occurred from 2007-2017 were ascertained. Risk predictions in 2007 were validated against observed CVEs in 2017. RESULTS: Of 2517 participants, the mean age was 53.7 year (SD: 6.7) and 1132 (45%) were males. Using WHO/ISH chart with cholesterol, the percentages of subjects with a 10-year CV risk <10%, 10-19%, 20%-29%, 30-39%, ≥40% were 80.7%, 9.9%, 3.8%, 2.5% and 3.1%, respectively. 142 non-fatal and 73 fatal CVEs were observed during follow-up. Among the cohort, 9.4% were predicted of having a CV risk ≥20% and 8.6% CVEs were observed in the risk category. CVEs were within the predictions of WHO/ISH charts with and without cholesterol in both high (≥20%) and low(<20%) risk males, but only in low(<20%) risk females. The predictions of WHO/ISH charts, with-and without-cholesterol were in agreement in 81% of subjects (ĸ = 0.429; p<0.001). CONCLUSIONS: WHO/ISH (SEAR B) risk prediction charts with-and without-cholesterol may be used in Sri Lanka. Risk charts are more predictive in males than in females and for lower-risk categories. The predictions when stratifying into 2 categories, low risk (<20%) and high risk (≥20%), are more appropriate in clinical practice.
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    Ultrasound parameters of pelvic organs and their age-related changes in a cohort of asymptomatic postmenopausal women: A community-based study.
    (Sage Publishing, 2020) Dias, T.D.; Palihawadana, T.S.; Patabendige, M.; Motha, M.B.; de Silva, H.J.
    No abstract available.
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    Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries
    (Public Library of Science, 2018) Feitosa, M.F.; Kraja, A.T.; Chasman, D.I.; Sung, Y.J.; Winkler, T.W.; Ntalla, I.; Guo, X.; Franceschini, N.; Cheng, C.Y.; Sim, X.; Vojinovic, D.; Marten, J.; Musani, S.K.; Li, C.; Bentley, A.R.; Brown, M.R.; Scwander, K.; Richard, M.A.; Noordam, R.; Aschard, H.; Bartz, T.M.; Bielak, L.F.; Dorajoo, R.; Fishaer, V.; Hartwig, F.P.; Horimoto, A.R.V.R.; Lohman, K.K.; Manning, A.K.; Rankinen, T.; Smith, A.V.; Tajiddin, S.M.; Wojczynski, M.K.; Alver, M.; Boissel, M.; Cai, Q.; Campbell, A.; Chai, J.F.; Chen, X.; Divers, J.; Gao, C.; Goel, A.; Hagemeijer, Y.; Harris, S.E.; He, M.; Hsu, F.C.; Jackson, A.U.; Kahonen, M.; Kasturiratne, A.; Komulainen, P.; Kuhnel, B.; Laguzzi, F.; Luan, J.; Matoba, N.; Nolte, I.M.; Padmanabhan, S.; Riaz, M.; Rueedi, R.; Robino, A.; Said, M.A.; Scott, R.A.; Soffer, T.; Stancakova, A.; Takeuchi, F.; Tayo, B.O.; van de Most, P.J.; Varga, T.V.; Vitart, V.; Wang, Y.; Ware, E.B.; Warren, H.R.; Weiss, S.; Wen, W.; Yanek, L.R.; Zhang, W.; Zhao, J.H.; Afaq, S.; Amin, N.; Amini, M.; Arking, D.E.; Aung, T.; Boerwinkle, E.; Borecki, I.; Broecki, I.; Broeckel, U.; Brown, M.; Brumat, M.; Burke, G.L.; Canouil, M.; Chakravarthi, A.; Charumathi, S.; Ida Chen, Y.D.; Connel, J.M.; Correa, A.; de Las Fuentes, L.; de Mutsert, R.; de Silva, H.J.; Deng, X.; Ding, J.; Duan, Q.; Eaton, C.B.; Ehret, G.; Eppinga, R.N.; Evangelou, E.; Faul, J.D.; Felix, S.B.; Forouhi, N.G.; Forrester, T.; Franco, O.H.; Friedlander, Y.; Gandin, I.; Gao, H.; Ghanbari, M.; Gigante, B.; Gu, C.C.; Gu, D.; Hagenaars, S.P.; Halmans, G.; Harris, T.B.; He, J.; Heikkinen, S.; Heng, C.K.; Hirata, M.; Howard, B.V.; Ikram, M.A.; InterAct Consortium; John, U.; Katsuya, T.; Lakka, T.A.; Langefeld, C.D.; Langenberg, C.; Launer, L.J.; Lehne, B.; Lewis, C.E.; Li, Y.; Lin, S.; Lin, U.; Liu, J.; Liu, J.; Loh, M.; Louie, T.; Magi, R.; McKenzie, C.A.; Meitinger, T.; Metspalu, A.; Milaneschi, Y.; Milani, L.; mohlke, K.L.; Momozawa, Y.; Nalls, M.A.; Nelson, C.P.; Sotoodehnia, N.; Norris, J.M.; O'Connel, J.R.; Palmer, N.D.; Perls, T.; Pedersen, N.L.; Peters, A.; Peyser, P.A.; Poulter, N.; Raffel, L.J.; Raitakari, O.T.; Roll, K.; Rose, L.M.; Rosendaal, F.R.; Rotter, J.I.; Schimidit, C.O.; Schreiner, P.J.; Schupf, N.; Scott, W.R.; Sever, P.S.; Shi, Y.; Sidney, S.; Sims, M.; Sitlani, C.M.; Smith, J.A.; Snieder, H.; Starr, J.M.; Strauch, K.; Stringham, H.M.; Tan, N.Y.Q.; Tang, H.; Taylor, K.D.; Teo, Y.Y.; Tham, Y.C.; Turner, S.C.; Uitterlinden, A.G.; Vollenweider, P.; Waldenberger, M.; Wang, L.; Wang, Y.X.; Wei, W.B.; Williams, C.; Yao, J.; Yuan, J.M.; Zhao, W.; Zonderman, A.B.; Becker, D.M.; Boehnke, M.; Bowden, D.W.; Chambers, J.C.; Deary, I.J.; Esco, T.; Farall, M.; Frankd, P.W.; Freedman, B.I.; Froguel, P.; Gasparini, P.; Gieger, C.; Jonas, J.B.; Kamatani, Y.; Kato, N.; Kooner, J.S.; Kutalik, Z.; Laakso, M.; Laurie, C.C.; Leander, K.; Lehtimaki, T.; Study, L.C.; Magnusson, P.K.E.; Olderhinkel, A.J.; Penninx, B.W.J.H.; Polasek, O.; Porteous, D.J.; Rauramaa, R.; Ssamani, N.J.; Scott, J.; Shu, X.O.; van der Harst, P.; Wagenknecht, L.E.; Wareham, N.J.; Watkins, H.; Weir, D.R.; Wickremasinghe, A.R.; Wu, T.; Zheng, W.; Bouchard, C.; Christensen, K.; Evans, M.K.; Gudnason, V.; Horta, B.L.; Kardia, S.L.R.; Liu, Y.; Pereira, A.C.; Psaty, B.M.; Ridker, P.M.; van Dam, R.M.; Gauderman, W.J.; Zhu, X.; Mook-Kanamori, D.O.; Fornage, M.; Rotimi, C.N.; Cupples, L.A.; Kelly, T.N.; Fox, E.R.; Hayward, C.; van Duijn, C.M.; Tai, E.S.; Wong, T.Y.; Kooperberg, C.; Palmas, W.; Rice, K.; Morrison, A.C.; Elliott, P.; Caulfield, M.J.; Munroe, P.B.; Rao, D.C.; Province, M.A.; Levy, D.
    Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension
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    Prevalence of hepatitis B and hepatitis C infections and their relationship to injectable drug use in a cohort of Sri Lankan prison inmates
    (Sri Lanka Medical Association, 2015) Niriella, M.A.; Hapangama, A.; Luke, H.P.D.P.; Pathmeswaran, A.; Kuruppuarachchi, K.A.L.A.; de Silva, H.J.
    INTRODUCTION: Prisoners are considered to be at high risk for Hepatitis B (HBV) and Hepatitis C (HCV) virus infections. This is attributed to intravenous drug use and high-risk sexual behaviour. There are no published studies on HBV and HCV among prison inmates or injecting drug users in Sri Lanka. OBJECTIVES: To determine prevalence of HBV and HCV infections, and their relationship to injectable drug use among Sri Lankan prisoners. METHODS: We investigated 393 (median age 42 years (range 16 to 93); 82% males) randomly selected inmates of Mahara and Welikada prisons. RESULTS: Though 167 (42.5%) admitted drug abuse, only 17 (4.3%) had ever used intravenous drugs. Twelve (70.6%) of them reported sharing needles. One inmate was positive for HBsAg but was negative for HBV-DNA. Twenty seven (6.9%) were positive for anti-HCV antibodies, of whom only 2 (0.5%) were positive for HCV-RNA. None of the injecting drug users were positive for HBV-DNA or HCV-RNA. CONCLUSIONS: The prevalence of HBV and HCV infections as well as injecting drug use was very low among this cohort of Sri Lankan prisoninmates