Evaluation of Congenital and Chromosomal Anomalies Mortality in Turkey by Joinpoint Regression Analysis
DOI:
https://doi.org/10.12974/2313-0946.2021.06.01.4Keywords:
Joinpoint Regression Analysis, Chromosomal anomalies, Congenital anomaliesAbstract
Congenital anomalies (CAs) represents one of the main cause of fetal death, infant mortality and morbidity, and long-term disability. This study aims that it was to analyze the mortality trends of Congenital and Chromosomal Anomalies (CCAs) mortality in Turkey. This population-based observational study covers nine years in Turkey. CCAs mortality data was reported from the Turkish Statistical Institute death database by gender and age. Age-standardized mortality rates per 100,000 population were calculated by direct standardization using the WHO Reference Population. Average annual percent change (AAPC), annual percent change (APC), and 95% confidence interval (CI) were computed using the joinpoint regression analysis. Joinpoint Regression analysis results showed a significant trend for overall CCA-type mortality over the entire observation period (AAPC=3.9%, 95% CI:1.4 to 6.4). A significant increase in the mortality rate of nervous system (in male: APC:7.6%, 95% CI: 2.2 to 13.4; in female: APC:6.6%, 95% CI:2.6 to 10.7) and circulatory system (in male: APC:4.6%, 95% CI:1.5 to 7.8; in female: APC:3.4%, 95% CI:0.8 to 6.1) were observed in both gender during the study period (p<0.001). Congenital anomalies in Turkey are a major cause of fetal and neonatal death, however, most of the anomalies can be preventable or treatable.
References
Kinsner-Ovaskainen A, Lanzoni M, Garne E, et al. A sustainable solution for the activities of the European network for surveillance of congenital anomalies: EUROCAT as part of the EU Platform on Rare Diseases Registration. European Journal of Medical Genetics 2018; 61: 513-517. https://doi.org/10.1016/j.ejmg.2018.03.008
Christianson A, Howson CP, Modell B. March of Dimes. Global report on birth defect. The hidden toll of dying and disabled children. March of Dimes Birth Defects Foundation 2006; 10-16.
Darmstadt GL, Howson CP, Walraven G, et al. Prevention of congenital disorders and care of affected children: A consensus statement. JAMA Pediatrics 2016; 170: 790-793. https://doi.org/10.1001/jamapediatrics.2016.0388
Boyle B, Addor M, Arriola L, et al. Estimating Global Burden of Disease due to congenital anomaly : an analysis of European data. 2018; 22-28. https://doi.org/10.1136/archdischild-2016-311845
Wellesley D, Boyd P, Dolk H, et al. An aetiological classification of birth defects for epidemiological research. Journal of Medical Genetics 2005; 42: 54-57. https://doi.org/10.1136/jmg.2004.023309
Abeywardana S, Sullivan EA, NPSU. Congenital anomalies in Australia 2002-2003. Birth anomalies series, 2008; xi, 165 p.
Almeida LFG, Araujo Júnior E, Crott GC, et al. Epidemiological risk factors and perinatal outcomes of congenital anomalies. Revista Brasileira de Ginecologia e Obstetricia 2016; 38: 348-355. https://doi.org/10.1055/s-0036-1586160
Onrat ST, Seyman H, Konuk M. Incidence of neural tube defects in Afyonkarahisar, Western Turkey. Genetics and Molecular Research 2009; 8: 154-161. https://doi.org/10.4238/vol8-1gmr552
Amorim LFP, Pires CAB, Lana AMA, et al. Presentation of congenital heart disease diagnosed at birth: analysis of 29,770 newborn infants. Jornal de Pediatria 2008; 0: 83-90. https://doi.org/10.1590/S0021-75572008000100014
Bernadette Modell, R J Berry, Coleen A Boyle, Arnold Christianson, Matthew Darlison, Helen Dolk, Christopher P Howson, Pierpaolo Mastroiacovo, Peter Mossey JR. national causes of child. The Lancet 2012; 380: 1556. https://doi.org/10.1016/S0140-6736(12)61878-9
Https://www.tuik.gov.tr/Home/Index. Welcome to Turkish Statistical Institute(TurkStat)'s Web Pages, http://www.turkstat.gov.tr/Start.do;jsessionid=W12jpnhGfnW wnnphpzN21Z72CPjQyWXwxTtxy0DXl8Bs1plLVYkJ!- 94577882 (accessed 15 June 2020).
World Health Organisation. ICD-10 International statistical classification of diseases and related health problems. 2.
Ahmad OB, Boschi-pinto C, Lopez AD. Age standardization of rates: a new WHO standard. GPE Discussion Paper Series 2001; 1-14.
Joinpoint Regression Program. Joinpoint Regression Program, https://surveillance.cancer.gov/joinpoint/ (accessed 14 September 2020).
Kim HJ, Fay MP, Feuer EJ, et al. Permutation tests for joinpoint regression with applications to cancer rates. (Erratum in: Stat Med 2001;20: 655). Stat Med 2000; 19: 335-351. https://doi.org/10.1002/(SICI)1097- 0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z
Limin X. Clegg, Benjamin F. Hankey, Ram Tiwari EJF and BKE. Estimating average annual per cent change in trend analysis Limin. Statistics in Medicine 2009; 28: 3670-3682. https://doi.org/10.1002/sim.3733
Kim HJ, Luo J, Chen HS, et al. Improved confidence interval for average annual percent change in trend analysis. Statistics in Medicine 2017; 36: 3059-3074. https://doi.org/10.1002/sim.7344
hristianson A, Modell B. Medical Genetics in Developing Countries. Annual Review of Genomics and Human Genetics 2004; 5: 219-265. https://doi.org/10.1146/annurev.genom.5.061903.175935
Alonso-Ferreira V, Sánchez-Díaz G, Villaverde-Hueso A, et al. A nationwide registry-based study on mortality due to rare congenital anomalies. International Journal of Environmental Research and Public Health 2018; 15: 1-20. https://doi.org/10.3390/ijerph15081715
Jennings B. Genetic Citizenship: Knowledge and Empowerment in Personal and Civic Health. Senior Research Scholar The Hastings Center.
Wald DS, Law M, Morris JK. Homocysteine and cardiovascular disease: evidence on causality from a metaanalysis. BMJ (Clinical research ed) 2002; 325: 1202. https://doi.org/10.1136/bmj.325.7374.1202
La Vecchia C, Negri E, Pelucchi C, et al. Dietary folate and colorectal cancer. International Journal of Cancer 2002; 102: 545-547. https://doi.org/10.1002/ijc.10720
World Health Organization. Sixty-third World Health Assembly. World Health Assembly Journal 2010; 5: 1-10.
Tishkoff SA, Verrelli BC. Patterns of Human Genetic Diversity : Implications for Human Evolutionary History and Disease. Annual Review of Genomics and Human Genetics 2003; 4: 293-340. https://doi.org/10.1146/annurev.genom.4.070802.110226
