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Risk factors associated with birth defects at a tertiary care center in Pakistan

Abstract

Background

Birth defects are defined as those conditions that are substantially determined before or during birth and which are recognizable in early life. They are an important cause of morbidity and mortality in infants. The main objective of the study was to determine the association of certain risk factors with birth defects occurring in pediatric patients seeking care in Civil Hospital, Karachi.

Methods

This was a prospective, cross-sectional study conducted at Department of Pediatrics: Units I, II and III of Civil Hospital Karachi, which is a tertiary care hospital located in the city center. These units provide care to pediatric patients from all over the country, with majority belonging to a low socioeconomic background. All infants with at least one birth defect were approached and their mothers interviewed. Demographics of both the mother and the infant were noted. Questions regarding possible exposure to risk factors were asked. Infants who were not accompanied by their mothers were excluded from the study.

Results

A total of 587 out of 669 infants completed the study successfully. Of these, defects related to urogenital system (19.9%) were the commonest, followed by those related to eye (16.9%), musculoskeletal system (12.9%), body wall defects (12.3%), oral cavity (12.1%), central nervous system (10.9%), gastrointestinal tract (3.2%), cardiovascular system (2.7%) and those related to ear, nose and throat (1.2%).

Conclusion

669(4.1%) out of a total of 16,394 pediatric patients visiting the hospital during our study were identified as having at least one birth defect. The commonest ones were those related to the eye and the urogenital system. The main factors that influence the occurrence can be grouped into maternal, socioeconomic, nutritional and educational.

Introduction

Birth defects are defined as ‘those conditions that are substantially determined before or during birth and which are, in principle, recognizable in early life’ [1]. Some of these defects are classified as major and may require surgical intervention and/or cause death of the infant. Others are classified as minor, which are significantly detrimental to the quality of life and health of the patient. However, this classification is somewhat ambiguous, as some minor anomalies can be associated with underlying major defects. This association could be 3% in patients having one, 10% in patients having two, and 20% in patients having more than three anomalies [2].

Thus, a broad definition of birth defects includes not only anatomical defects but also molecular and cellular abnormalities present at birth [3]. A WHO document in 1972, however, maintained that the term “congenital malformations” should be confined to structural defects at birth, with the term “congenital anomaly” being used to include all biochemical, structural and functional disorders present at birth [1]. The word “birth defects” has therefore been used throughout the study in order to avoid ambiguity.

Birth defects usually occur during organogenesis (between 3rd and 8th week of gestation). They may result in complete or partial absence of an anatomical part or alteration of its normal configurations. Mostly, these are caused by environmental or genetic factors acting independently or in concert. Major structural anomalies occur in 2% to 3% of live born infants. An additional 2% to 3% are recognized in children by age 5 years, for a total of 4% to 6% [2].

Some of these disorders are obvious at birth, for e.g. cleft palate; some, such as congenital dislocation of the hip (CHD), may escape early detection, while others may not become apparent until much later in life, for e.g. patent ductus arteriosus (PDA). Internal defects, when they are not lethal, may often go unrecognized. However, in any case, these defects are a major cause of morbidity and mortality in infants worldwide, accounting for as many as 260,000 deaths (7% of all neonatal deaths) in the year 2004 alone [4].

Many studies have been conducted to determine the association of various risk factors with the incidence of birth defects. For example, folic acid supplementation has long been implicated in the prevention of neural tube defects and other major defects [5]. Similarly, maternal cigarette smoking has been associated with an increased risk of cardiovascular and other malformations [6]. Consanguineous marriage, which is a common practice in the country, has also been found out to have a role [7, 8].

The prevalence of birth defects varies widely, depending on the geographical locale. It was found to be 2.07% in Turkey, 2.39% in Europe, 1.5% in Japan and 1.96% in the United States [912]. These numbers, just as in our case, are based on studies conducted in limited settings, such as hospitals. These do not take into account all those infants who are born at other centers. Their prevalence may be very different from those reported for tertiary care centers, as they are often visited by patients belonging to a wide range of socioeconomic statuses, which has been implicated as a possible risk factor for birth defects [13].

The aim of our study was to assess the risk factors associated with various birth defects in pediatric patients seeking care in Civil Hospital, Karachi.

Materials and Methods

Study setting and participants

This was a prospective cross sectional, interview-based study conducted during a three year period from 20th February, 2009 to 15th March, 2012 at Pediatrics I, II and III wards in Civil Hospital, Karachi, which is a public sector, tertiary care hospital. This hospital is a host to visitors from all parts of the country.

Information regarding patients was obtained from patient records at the beginning of each session of study. Those found to have at least one birth defect were approached and their attendants (mothers) were interviewed. Those, whose mothers were not available at the time of interview, were checked at the end of the next session for a maximum of 5 times. The type of defect was noted down from the patient files along with other parts of the questionnaire.

Inclusion and Exclusion Criteria

All infants who were diagnosed with having at least one birth defect were included. Those subjects, whose mothers were not available for interview after 5 attempts, were excluded from the study.

Ethics

The Ethical Review Board of Dow University of Health Sciences approved the study. Subjects’ attendants were informed of their right to refuse and of the respect of the confidentiality of their answers. Informed, written consent was obtained from all attendants.

Questionnaire

The questionnaire was divided into four sections. The first section dealt with demographic data of the child, which consisted of age, sex, birth weight, ethnicity, religion, residence and socioeconomic status. The second section was concerned with data regarding the child’s mother. It included questions regarding maternal comorbidities, gestational age, gestational period, occupation and education level of the mother. The third section contained a series of Yes/No questions regarding exposure to various risk factors. The fourth section involved noting down the name of the specific defect from the patient file.

A pretest of the interview questionnaire was conducted on a sample of 13 infants to determine its effectiveness. The questionnaire was edited in order to overcome the shortcomings encountered in the pretest.

Analysis of Data

Data from the questionnaire was entered in SPSS (Statistical Package for the Social Sciences) version 14 for analysis.

Results

A total of 16,394 pediatric patients visited the hospital during our study period out of which 669(4.1%) were classified as having at least one birth defect. A total of 587 patients out of 669 were evaluated completely during the course of study (response rate 87.7%). The decrease was due to non-availability of child’s mother, or due to failure to give consent.

Patients’ Demographics

Data regarding patients’ demographics is illustrated in Table 1. Mean ± SD birth weight was 3139 ± 242 grams. Mean ± SD household income was Rs. 9314 ± 557 (~USD 100 ± 6).

Table 1 Patients' demographics

Maternal Characteristics

Maternal Characteristics are elaborated in Table 2. Mean ± SD age of the mothers at pregnancy was 29.5 ± 3.3 years with the minimum being 17 years and maximum being 46 years.

Table 2 Maternal characteristics

Risk Factors

Table 3 shows the percentage of mothers exposed to different risk factors.

Table 3 Risk factors

Birth Defects

Table 4 provides the percentages of different birth defects, grouped according to organ systems. Figure 1 is a graphical representation of the data. Table 5 provides an in depth summary of different defects. Male : Female ratio was only calculated for those defects, where at least one of either was present.

Table 4 Malformations grouped by Regions
Figure 1
figure 1

Percentage of Birth Defects.

Table 5 Summary of congenital malformations

Discussion

This is only the first study of its kind in Pakistan that aims to assess the risk factors for certain birth defects at a tertiary care center. It is also, according to our knowledge, the first prospective, interview-based study conducted on this topic. The percentage of affected individuals in our study (4.1%) is also quite high compared to studies from other parts of the world. This could be due to the fact that the study was conducted in a hospital setting, where only those infants are admitted who need special care.

A higher percentage of males was found to be affected compared to females. This finding is consistent with that of Shaw et al. who observed an increased risk for most systems even after adjusting for confounders [14]. The male : female ratio for most systems in our study also favored the males, as can be seen from Table 5. Socioeconomic status for most was poor, with a mean salary of Rs. 9314 (USD 100). This could be one of the reasons for a high percentage of affected patients in our setting, as socioeconomic status is an important risk factor for birth defects [13, 15, 16].

A large percentage of our subjects (38.7%) was born before 37 weeks. Kase et al. reported a reciprocal relationship between being born preterm and the presence of birth defects, which is consistent with our findings [17]. However, the mean weight suggests that most infants had a normal birth weight. This is surprising as most studies report a higher risk of birth defects in infants with low birth weight [18, 19].

Maternal factors have been found to play an important role in the presentation of birth defects. Most mothers, in our study group, were over the age of 30. A high incidence of defects has been observed for both extremes of ages in multiple studies [2023]. Maternal occupation has also been implicated in the incidence of birth defects [2426]. However, in our study, majority of mothers were housewives. This could be partly explained by the fact that, in backward areas of Pakistan, women are not allowed to work outside the confines of their homes.

Maternal Education also has an indirect effect on the incidence of birth defects [27]. In our study, 83.6% mothers were uneducated (including 18.2% who could just write their names). Awareness regarding periconceptual supplementation with folate, and abstention from certain drugs plays a major role in the incidence.

Certain maternal comorbidities have been linked with an increased incidence of birth defects. Mothers with preexisting or gestational diabetes generally have a higher incidence of birth defects, with the cardiovascular, musculoskeletal and central nervous systems being the most affected [2830]. However, in our study, a significant proportion did not have diabetes at any stage of pregnancy.

Among maternal risk factors, folate supplementation, cigarette smoking and exposure to x-rays occupy a significant position. Neural tube defects, which include spina bifida and encephaloceles, have long been linked to folic acid supplementation [3133]. In our study, a considerable majority (63.5%) did not receive periconceptual folate. This percentage increased to 81.3% in mothers of infants with neural tube defects. This can be largely attributed to the low educational level of majority of the participants’ mothers, which is directly related to awareness regarding folate supplementation [34]. Maternal smoking is also a moderate risk factor for certain malformations, especially congenital heart defects [3537]. A potential confounder for this could be the fact that infants born to smoking mothers are largely preterm, or have a low birth weight [3841]. In our sample, only 18.1% of the mothers had smoked at least once during their pregnancy. Exposure to x-rays and other radiations has also been implicated in increasing the risk for birth defects [42].

Among social factors, consanguineous marriage has been repeatedly found to have an association with birth defects [43, 44]. In our study, 38.7% were married to either first or second cousins. Similarly, a positive family history has also been found to be associated with an increase in risk [45]. Presence of industries and landfills has also been found to play an important role [46, 47].

Conclusion

In conclusion, the percentage of affected individuals in our setting has been found to be greater than in other similar studies. The main factors that influence the incidence can be grouped into maternal, socioeconomic, nutritional and educational.

Limitations

The most important limitation of our study was that we included only live infants, who had their mother available to answer the questions. Secondly, stillbirths were not included in the study. The study was conducted in a hospital setting which does not truly represent the percentage throughout the country.

This is one of the first studies on the epidemiology of congenital malformations in Pakistan. In our effort to make it as extensive as we possibly could, we included even those malformations, whose classification as congenital was debatable, or which although predominantly found after birth, also occurred as birth defects.

Certain malformations, such as congenital heart defects, have been underrepresented in our study. Their low percentage finds its roots in the prospective nature of the study. Although all attempts were made to ensure the maximum number of cases were included, a certain percentage could not be reached and thus not included in the study. Furthermore, although such malformations affect a significant percentage of Pakistani infants, a large percentage of them either dies, or is referred to special centers (eg NICVD) for emergency treatment, with only few remaining in tertiary care centers. Since our study was conducted in just one tertiary care center, many cases could not be included. This has led to a significantly low percentage of these relatively common birth defects in our sample.

References

  1. Glossary of Health Care Terminology. http://whqlibdoc.who.int/publications/9290201231.pdf.

  2. Sadler TW: Langman’s Medical Embryology. 2011, Lippincott: Williams & Wilkins, 111-10

    Google Scholar 

  3. WHO: Techn Rep Ser No.400. 1968

    Google Scholar 

  4. Mathers C, Fat DM, Boerma J: The global burden of disease: 2004 update. 2008, World Health Organization

    Book  Google Scholar 

  5. Hall J, Solehdin F: Folic acid for the prevention of congenital anomalies. Eur J Pediatr. 1998, 157 (6): 445-450. 10.1007/s004310050850.

    Article  CAS  PubMed  Google Scholar 

  6. Wasserman CR, Shaw GM, O'Malley CD, Tolarova MM, Lammer EJ: Parental cigarette smoking and risk for congenital anomalies of the heart, neural tube, or limb. Teratology. 1996, 53 (4): 261-267. 10.1002/(SICI)1096-9926(199604)53:4<261::AID-TERA9>3.0.CO;2-5.

    Article  CAS  PubMed  Google Scholar 

  7. Hashmi MA: Frequency of consanguinity and its effect on congenital malformation-a hospital based study. J Pak Med Assoc. 1997, 47 (3): 75-78.

    CAS  PubMed  Google Scholar 

  8. Kanaan ZM, Mahfouz R, Tamim H: The prevalence of consanguineous marriages in an underserved area in Lebanon and its association with congenital anomalies. Genet Test. 2008, 12 (3): 367-372. 10.1089/gte.2007.0093.

    Article  PubMed  Google Scholar 

  9. Oztarhan K, Gedikbasi A, Yildirim D, Arslan O, Adal E, Kavuncuoglu S, Ozbek S, Ceylan Y: Prevalence and distribution of congenital abnormalities in Turkey: differences between the prenatal and postnatal periods. Congenit Anom (Kyoto). 2010, 50 (4): 221-225. 10.1111/j.1741-4520.2010.00288.x.

    Article  Google Scholar 

  10. Dolk H, Loane M, Garne E: The prevalence of congenital anomalies in Europe. Adv Exp Med Biol. 2010, 686: 349-364. 10.1007/978-90-481-9485-8_20.

    Article  PubMed  Google Scholar 

  11. Kato K, Fujiki K: Incidence of congenital malformations in Tokyo Metropolitan Hospitals, 1979–1993. Brain Dev. 1996, 18 (3): 230-233. 10.1016/0387-7604(95)00113-1.

    Article  CAS  PubMed  Google Scholar 

  12. Sever LE, Hessol NA, Gilbert ES, McIntyre JM: The prevalence at birth of congenital malformations in communities near the Hanford site. Am J Epidemiol. 1988, 127 (2): 243-254.

    CAS  PubMed  Google Scholar 

  13. Agha MM, Glazier RH, Moineddin R, Moore AM, Guttmann A: Socioeconomic status and prevalence of congenital heart defects: does universal access to health care system eliminate the gap?. Birth Defects Res A Clin Mol Teratol. 2011, 91 (12): 1011-1018. 10.1002/bdra.22857.

    Article  CAS  PubMed  Google Scholar 

  14. Shaw GM, Carmichael SL, Kaidarova Z, Harris JA: Differential risks to males and females for congenital malformations among 2.5 million California births, 1989–1997. Birth Defects Res A Clin Mol Teratol. 2003, 67 (12): 953-958. 10.1002/bdra.10129.

    Article  CAS  PubMed  Google Scholar 

  15. Vrijheid M, Dolk H, Stone D, Abramsky L, Alberman E, Scott J: Socioeconomic inequalities in risk of congenital anomaly. Arch Dis Child. 2000, 82 (5): 349-352. 10.1136/adc.82.5.349.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  16. Varela MMMS, Nohr EA, Llopis-González A, Andersen AMN, Olsen J: Socio-occupational status and congenital anomalies. Eur J Public Health. 2009, 19 (2): 161-167. 10.1093/eurpub/ckp003.

    Article  PubMed  Google Scholar 

  17. Kase JS, Visintainer P: The relationship between congenital malformations and preterm birth. J Perinat Med. 2008, 35 (6): 538-542.

    Google Scholar 

  18. Mili F, Edmonds LD, Khoury MJ, McClearn AB: Prevalence of birth defects among low-birth-weight infants: a population study. Arch Pediatr Adolesc Med. 1991, 145 (11): 1313-10.1001/archpedi.1991.02160110105032.

    CAS  Google Scholar 

  19. Kramer H, Trampisch H, Rammos S, Giese A: Birth weight of children with congenital heart disease. Eur J Pediatr. 1990, 149 (11): 752-757. 10.1007/BF01957272.

    Article  CAS  PubMed  Google Scholar 

  20. Hollier LM, Leveno KJ, Kelly MA, MCIntire DD, Cunningham F: Maternal age and malformations in singleton births. Obstet Gynecol. 2000, 96 (5, Part 1): 701-10.1016/S0029-7844(00)01019-X.

    Article  CAS  PubMed  Google Scholar 

  21. Hay S, Barbano H: Independent effects of maternal age and birth order on the incidence of selected congenital malformations. Teratology. 1972, 6 (3): 271-279. 10.1002/tera.1420060304.

    Article  CAS  PubMed  Google Scholar 

  22. Croen LA, Shaw GM: Young maternal age and congenital malformations: a population-based study. Am J Public Health. 1995, 85 (5): 710-713. 10.2105/AJPH.85.5.710.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Grazi RV, Redheendran R, Mudaliar N, Bannerman RM: Offspring of teenage mothers: congenital malformations, low birth weights and other findings. J Reprod Med. 1982, 27 (2): 89-

    CAS  PubMed  Google Scholar 

  24. Cordier S, Bergeret A, Goujard J, Ha MC, Ayme S, Bianchi F, Calzolari E, De Walle HE, Knill-Jones R, Candela S: Congenital malformation and maternal occupational exposure to glycol ethers. occupational exposure and congenital malformations working group. Epidemiology. 1997, 8 (4): 355-363. 10.1097/00001648-199707000-00002.

    Article  CAS  PubMed  Google Scholar 

  25. Bianchi F, Cianciulli D, Pierini A, Costantini AS: Congenital malformations and maternal occupation: a registry based case–control study. Occup Environ Med. 1997, 54 (4): 223-228. 10.1136/oem.54.4.223.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  26. Garlantézec R, Monfort C, Rouget F, Cordier S: Maternal occupational exposure to solvents and congenital malformations: a prospective study in the general population. Occup Environ Med. 2009, 66 (7): 456-463. 10.1136/oem.2008.041772.

    Article  PubMed  Google Scholar 

  27. Farley T, Hambidge S, Daley M: Association of low maternal education with neural tube defects in Colorado, 1989–1998. Public Health. 2002, 116 (2): 89-94. 10.1016/S0033-3506(02)00509-7.

    Article  CAS  PubMed  Google Scholar 

  28. Macintosh M, Fleming KM, Bailey JA, Doyle P, Modder J, Acolet D, Golightly S, Miller A: Perinatal mortality and congenital anomalies in babies of women with type 1 or type 2 diabetes in England, Wales, and Northern Ireland: population based study. BMJ. 2006, 333 (7560): 177-10.1136/bmj.38856.692986.AE.

    Article  PubMed Central  PubMed  Google Scholar 

  29. Schaefer-Graf UM, Buchanan TA, Xiang A, Songster G, Montoro M, Kjos SL: Patterns of congenital anomalies and relationship to initial maternal fasting glucose levels in pregnancies complicated by type 2 and gestational diabetes. Am J Obstet Gynecol. 2000, 182 (2): 313-320. 10.1016/S0002-9378(00)70217-1.

    Article  CAS  PubMed  Google Scholar 

  30. Åberg A, Westbom L, Källén B: Congenital malformations among infants whose mothers had gestational diabetes or preexisting diabetes. Early Hum Dev. 2001, 61 (2): 85-95. 10.1016/S0378-3782(00)00125-0.

    Article  PubMed  Google Scholar 

  31. Berry RJ, Li Z, Erickson JD, Li S, Moore CA, Wang H, Mulinare J, Zhao P, Wong LYC, Gindler J: Prevention of neural-tube defects with folic acid in China. N Eng J Med. 1999, 341 (20): 1485-1490. 10.1056/NEJM199911113412001.

    Article  CAS  Google Scholar 

  32. Honein MA, Paulozzi LJ, Mathews T, Erickson JD, Wong LYC: Impact of folic acid fortification of the US food supply on the occurrence of neural tube defects. JAMA. 2001, 285 (23): 2981-2986. 10.1001/jama.285.23.2981.

    Article  CAS  PubMed  Google Scholar 

  33. Werler MM, Shapiro S, Mitchell AA: Periconceptional folic acid exposure and risk of occurrent neural tube defects. JAMA. 1993, 269 (10): 1257-1261. 10.1001/jama.1993.03500100055027.

    Article  CAS  PubMed  Google Scholar 

  34. Håberg SE, London SJ, Stigum H, Nafstad P, Nystad W: Folic acid supplements in pregnancy and early childhood respiratory health. Arch Dis Child. 2009, 94 (3): 180-184. 10.1136/adc.2008.142448.

    Article  PubMed Central  PubMed  Google Scholar 

  35. Malik S, Cleves MA, Honein MA, Romitti PA, Botto LD, Yang S, Hobbs CA: Maternal smoking and congenital heart defects. Pediatrics. 2008, 121 (4): e810-e816. 10.1542/peds.2007-1519.

    Article  PubMed  Google Scholar 

  36. Källén K: Maternal smoking and congenital heart defects. Eur J Epidemiol. 1999, 15 (8): 731-737. 10.1023/A:1007671631188.

    Article  PubMed  Google Scholar 

  37. CHRISTIANSON RE: The relationship between maternal smoking and the incidence of congenital anomalies. Am J Epidemiol. 1980, 112 (5): 684-695.

    CAS  PubMed  Google Scholar 

  38. Sexton M, Hebel JR: A clinical trial of change in maternal smoking and its effect on birth weight. JAMA. 1984, 251 (7): 911-915. 10.1001/jama.1984.03340310025013.

    Article  CAS  PubMed  Google Scholar 

  39. Wilcox AJ: Birth weight and perinatal mortality: the effect of maternal smoking. Am J Epidemiol. 1993, 137 (10): 1098-1104.

    CAS  PubMed  Google Scholar 

  40. Kleinman JC, Madans JH: The effects of maternal smoking, physical stature, and educational attainment on the incidence of low birth weight. Am J Epidemiol. 1985, 121 (6): 843-855.

    CAS  PubMed  Google Scholar 

  41. Horta BL, Victora CG, Menezes AM, Halpern R, Barros FC: Low birthweight, preterm births and intrauterine growth retardation in relation to maternal smoking. Paediatr Perinat Epidemiol. 1997, 11 (2): 140-151. 10.1046/j.1365-3016.1997.d01-17.x.

    Article  CAS  PubMed  Google Scholar 

  42. Uchida IA, Holunga R, Lawler C: Maternal radiation and chromosomal aberrations. Lancet. 1968, 292 (7577): 1045-1049. 10.1016/S0140-6736(68)91525-0.

    Article  Google Scholar 

  43. Rittler M, Liascovich R, López‐Camelo J, Castilla EE: Parental consanguinity in specific types of congenital anomalies. Am J Med Genet. 2001, 102 (1): 36-43. 10.1002/1096-8628(20010722)102:1<36::AID-AJMG1394>3.0.CO;2-M.

    Article  CAS  PubMed  Google Scholar 

  44. Becker SM, Al Halees Z, Molina C, Paterson RM: Consanguinity and congenital heart disease in Saudi Arabia. Am J Med Genet. 2001, 99 (1): 8-13. 10.1002/1096-8628(20010215)99:1<8::AID-AJMG1116>3.0.CO;2-U.

    Article  CAS  PubMed  Google Scholar 

  45. Honein MA, Paulozzi LJ, Moore CA: Family history, maternal smoking, and clubfoot: an indication of a gene-environment interaction. Am J Epidemiol. 2000, 152 (7): 658-665. 10.1093/aje/152.7.658.

    Article  CAS  PubMed  Google Scholar 

  46. Geschwind SA, Stolwijk JAJ, Bracken M, Fitzgerald E, Stark A, Olsen C, Melius J: Risk of congenital malformations associated with proximity to hazardous waste sites. Am J Epidemiol. 1992, 135 (11): 1197-1207.

    CAS  PubMed  Google Scholar 

  47. Dolk H, Vrijheid M, Armstrong B, Abramsky L, Bianchi F, Garne E, Nelen V, Robert E, Scott JES, Stone D: Risk of congenital anomalies near hazardous-waste landfill sites in Europe: the EUROHAZCON study. Lancet. 1998, 352 (9126): 423-427. 10.1016/S0140-6736(98)01352-X.

    Article  CAS  PubMed  Google Scholar 

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Raza, M.Z., Sheikh, A., Ahmed, S.S. et al. Risk factors associated with birth defects at a tertiary care center in Pakistan. Ital J Pediatr 38, 68 (2012). https://doi.org/10.1186/1824-7288-38-68

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