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Chromosomal abnormalities (CAs), which encompass both numerical and structural variants, present as common birth defects. These defects are a predominant factor behind early miscarriage and stillbirth (1). Moreover, they can lead to congenital anomalies such as mental retardation, developmental delays, and multiple malformations in newborns (2). Although recent studies in certain regions have indicated an uptick in the prevalence of CAs, there is an ongoing need for more research into some underlying subtypes (3-4). In this study, we assessed the trends and prevalence of CAs in Beijing’s Haidian District from 2013 to 2022. Our findings revealed a substantial increase in the prevalence of CAs in the Haidian District, with the rate rising from 29.46/10,000 in 2013 to 82.74/10,000 in 2022. Additionally, the prevalence of some subtypes, such as autosomal trisomies, sex CAs (SCAs), and microdeletion/microduplication, evidenced a significant rising trend. The escalating prevalence of SCAs and other previously rare CAs necessitates new strategies for genetic counseling and poses fresh challenges for health professionals. It’s critical that healthcare practitioners accurately evaluate these detection results and interpret them appropriately to patients. Strengthening health education initiatives will support women in making informed treatment decisions based on the diverse prognoses of CAs.
This study analyzed data from a hospital-based birth defect surveillance system in the Haidian District, details of which were discussed in a previous publication (5). Briefly, all pertinent healthcare institutions (inclusive of 18 community health service centers, midwifery agencies, and children’s hospitals) within the Haidian District are mandated to complete unified forms, registration cards, and report the total count of perinatal infants, alongside detailed individual information on cases of birth defects and infant mortality. Pregnant women were advised to undergo non-invasive prenatal screenings to detect CAs. Owing to technological progression, detection methods have evolved from maternal prenatal serum screening to non-invasive prenatal testing (NIPT). According to the guidelines set out by the Beijing Municipal Health Commission, a prenatal diagnostic rate exceeding 90% is required, with further diagnoses for newborns presenting post-birth abnormalities. The categorization of CAs was conducted in line with the International Statistical Classification of Diseases and Related Health Problems, 10th Edition. Depending on the clinical examination, different CAs were classified under three primary groups: autosomal trisomies, SCAs, and other CAs (6). CAs of a structural nature (microdeletions, microduplications, translocations, inversions) were further delineated. The annual CAs incidence was calculated by dividing the total count of reported CAs cases by the total number of perinatal infants within that year. A Joinpoint regression model was developed using Joinpoint software (version 4.9.1, Information Management Services, Inc.Calverton, MD, USA) to estimate the average annual percentage change (AAPC) in the prevalence of CAs. Two periods were distinguished according to the Joinpoint regression analysis, and the chi-square test and Fisher’s exact test were carried out using R software (version 4.0.5, R Development Core Team, Vienna, Austria) to compare the characteristics distributions in births with CAs between different periods. P values equal to or less than 0.05 (two-tailed) were deemed statistically significant.
Between 2013 and 2022, a total of 364,758 births were recorded, along with 1,676 cases of CAs resulting in a prevalence of 45.95 per 10,000 births. The types of CAs and their prevalence over this time period are displayed in Table 1. Over this period, the prevalence of CAs manifested an increasing trend, escalating from 29.46 per 10,000 in 2013 to 82.74 per 10,000 in 2022, which equates to an AAPC of 13.4% [95% confidence interval (CI): 8.3%, 18.8%].
Chromosomal Abnormalities 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Trend test AAPC (95% CI) P Autosomal trisomies 19.18 16.96 20.22 19.71 25.08 23.94 30.34 31.19 29.44 29.67 7.5 (5.7, 9.4) <0.001 Trisomy 21 syndrome 15.20 13.24 14.62 14.67 18.01 15.77 22.61 23.49 20.57 23.40 6.9 (4.6, 9.2) <0.001 Trisomy 18 syndrome 3.51 3.31 4.63 4.35 5.93 7.04 4.87 6.16 7.66 5.85 8.2 (4.7, 11.9) 0.001 Trisomy 13 syndrome 0.47 0.41 0.97 0.69 1.14 1.13 2.86 1.54 1.21 0.42 1.0 (−17.2, 23.2) 0.924 Sex chromosome aneuploidies 4.91 5.59 5.36 6.19 10.26 15.49 10.30 15.02 27.03 20.89 21.3 (15.9, 27.0) <0.001 Sex chromosome chimerism 0.70 1.86 0.97 1.83 2.51 2.25 1.43 1.93 4.44 2.93 13.4 (5.5, 22.0) 0.004 47XXY 1.64 1.66 1.22 1.37 3.19 3.94 4.29 5.78 10.49 6.27 26.4 (18.0, 35.4) <0.001 47XYY 0.47 0.41 0.49 0.92 0.91 1.97 0.86 1.54 3.63 2.51 25.8 (18.3, 33.7) <0.001 47XXX 0.47 0.62 0.49 0.46 1.14 3.38 2.58 1.54 2.82 1.67 22.6 (7.2, 40.1) 0.008 45X 1.64 1.03 1.71 1.15 1.37 2.82 1.14 2.31 1.61 2.93 6.6 (2.8, 10.5) 0.004 Other chromosomal abnormalities 5.38 6.20 5.85 7.34 11.18 11.82 18.03 22.74 25.40 35.10 22.6 (15.6, 30.1) <0.001 Microdeletion/microduplication 1.64 1.45 3.9 3.21 5.02 3.94 9.73 13.1 16.94 19.22 34.9 (29.3, 40.6) <0.001 Translocation 1.87 2.48 0.49 1.15 3.19 3.38 3.72 4.62 4.03 7.52 20.8 (5.7, 38.0) 0.012 Inversion 0.70 1.03 0.73 0.46 2.05 1.97 2.29 1.93 2.42 5.85 23.2 (11.6, 36.0) 0.001 Others 1.17 1.24 0.73 2.52 0.92 2.53 2.29 3.09 2.01 2.51 12.5 (7.0, 18.3) 0.001 Total 29.46 28.76 30.95 32.77 44.91 49.85 58.39 66.63 77.45 82.74 13.4 (8.3, 18.8) <0.001 Abbreviation: AAPC=average annual percent change; CI=confidence interval. Table 1. Prevalence and trends of chromosomal abnormalities in Haidian District, Beijing, China, from 2013 to 2022 (N expressed as 1/10,000).
The prevalence of autosomal trisomies climbed from 19.18 per 10,000 in 2013 to 29.67 per 10,000 in 2022 (AAPC=7.5%, 95% CI: 5.7%, 9.4%). Specifically, trisomy 21 and trisomy 18 syndromes displayed a significant upward trend in prevalence (Trisomy 21: AAPC=6.9%, 95% CI: 4.6%, 9.2%; Trisomy 18: AAPC=8.2%, 95% CI: 4.7%, 11.9%), whereas trisomy 13 syndrome did not (AAPC=1.0%, 95% CI: −17.2%, 23.2%).
SCAs prevalence increased from 4.91 per 10,000 in 2013 to 20.89 per 10,000 in 2022 (AAPC=21.3%, 95% CI: 15.9%, 27.0%). Individual SCAs subtypes (chimerism, 47XXY, 47XYY, 47XXX, 45X) all demonstrated significant increasing trends over the same period, all with AAPC values greater than 0% and P-values less than 0.05.
The prevalence of other CAs also increased over the past 10 years (AAPC=22.6%, 95% CI: 16.5%, 30.1%) with significant upward trends observed in microdeletion/microduplication, translocation, and inversion (each with AAPC values greater than 0% and P-values less than 0.05).
Table 2 illustrates an inflection point in CAs prevalence identified by Joinpoint regression modeling in 2015. The initial trend indicates an escalation in annual prevalence from 29.46/10,000 in 2013 to 30.95/10,000 in 2015 (APC=3.4%, 95% CI: −20.2%, 33.9%). The subsequent trend demonstrates a significant upsurge from 30.95/10,000 in 2015, escalating to 77.45/10,000 in 2022 (APC=16.4%, 95% CI: 13.5%, 19.5%).
Segments* Year APC (95% CI) P Trend 1 2013–2015 3.4 (−20.2, 33.9) 0.754 Trend 2 2015–2022 16.4 (13.5,19.5) <0.001 Full range 2013–2022 13.4 (8.3,18.8) <0.001 Abbreviation: APC=annual percentage change; CI=confidence interval.
* The implementation of universal two-child policy was in 2016 and the application of noninvasive prenatal testing was 2017.Table 2. Trends in the annual prevalence of chromosomal abnormalities in Haidian District, Beijing, China, from 2013 to 2022 using Joinpoint regression analysis.
Table 3 delineates the variation in characteristics of CAs across distinct periods. Among all CAs instances, significant increases from 2013–2015 to 2016–2022 were observed for maternal age (P<0.001), gravidity (P=0.002), parity (P<0.001), and prenatal diagnostics (P<0.001). For trisomy 21 syndrome cases specifically, disparate distributions in maternal age, parity, gestational weeks, prognosis, therapeutic abortion, and timing of diagnosis were evident across varying periods (all P<0.05). In SCAs scenarios, a marked increase in prenatal diagnostics was shown, from 87.7% in 2013–2015 to 98.9% in 2016–2022 (P<0.001). Furthermore, in cases involving microdeletion and microduplication, there was an observed augmentation in gravidity (P=0.020) and the rate of therapeutic abortion (P=0.026) during the period from 2013–2015 to 2016–2022.
Variable Total CAs P* Trisomy 21 syndrome P* SCAs P* Microdeletions/microduplications P* 2013–2015 2016–2022 2013–2015 2016–2022 2013–2015 2016–2022 2013–2015 2016–2022 Total 392 1,284 189 444 70 280 30 208 Age, years <0.001 0.006 0.077 0.054 ≤30 113 (31.0) 265 (20.7) 45 (26.0) 67 (15.2) 26 (37.1) 69 (24.6) 15 (50.0) 60 (28.8) 30–35 124 (34.0) 456 (35.7) 54 (31.2) 148 (33.5) 27 (38.6) 114 (40.7) 10 (33.3) 84 (40.4) >35 128 (35.1) 557 (43.6) 74 (42.8) 227 (51.4) 17 (24.3) 97 (34.6) 5 (16.7) 64 (30.8) Gravidity 0.002 0.065 0.211 0.020 1 154 (39.3) 399 (31.1) 73 (38.6) 138 (31.1) 33 (47.1) 109 (38.9) 16 (53.3) 66 (31.7) ≥2 238 (60.7) 885 (68.9) 116 (61.4) 306 (68.9) 37 (52.9) 171 (61.1) 14 (46.7) 142 (68.3) Parity <0.001 <0.001 0.100 0.745 Nulliparous 193 (49.2) 433 (34.5) 103 (54.5) 173 (39.0) 33 (47.1) 102 (36.4) 11 (36.7) 70 (33.7) Multiparous 199 (50.8) 851 (66.3) 86 (45.5) 271 (61.0) 37 (52.9) 178 (63.6) 19 (63.3) 138 (66.3) Gestational week 0.675 <0.001 0.888 0.134 <28 284 (72.4) 944 (73.5) 155 (82.0) 425 (95.7) 47 (67.1) 184 (65.7) 14 (46.7) 127 (61.1) ≥28 108 (27.6) 340 (26.5) 34 (18.0) 19 (4.3) 23 (32.9) 96 (34.3) 16 (53.3) 81 (38.9) Number of embryos 0.291 0.997 0.778 0.656 Single birth 342 (94.0) 1,222 (95.3) 165 (95.9) 425 (95.9) 62 (95.4) 260 (93.2) 28 (96.6) 200 (96.6) Multiple births 22 (6.0) 60 (4.7) 7 (4.1) 18 (4.1) 3 (4.6) 19 (6.8) 1 (3.4) 7 (3.4) Prognosis 0.510† <0.001† 1.000† 1.000† Live birth 88 (24.2) 273 (21.4) 26 (15.1) 10 (2.3) 20 (30.8) 88 (31.5) 12 (41.4) 47 (22.7) Early fetus loss and stillbirths 274 (75.3) 998 (78.1) 146 (84.3) 432 (97.5) 45 (69.2) 190 (68.1) 16 (55.2) 155 (74.9) Early neonatal deaths 2 (0.5) 7 (0.5) 1 (0.6) 1 (0.2) 0 (0.0) 1 (0.4) 1 (3.4) 5 (2.4) Therapeutic abortion 0.270 <0.001 0.774 0.026 No 93 (25.5) 292 (22.8) 27 (15.7) 14 (3.2) 20 (30.8) 91 (32.6) 13 (44.8) 52 (25.1) Yes 271 (74.5) 990 (77.2) 145 (84.3) 429 (96.8) 45 (69.2) 188 (67.4) 16 (55.2) 155 (74.9) Time of diagnosis <0.001 <0.001 <0.001 0.741 Prenatal 324 (89.0) 1,249 (97.4) 146 (84.9) 438 (98.9) 57 (87.7) 276 (98.9) 28 (96.6) 197 (95.2) Postpartum 40 (11.0) 33 (2.6) 26 (15.1) 5 (1.1) 8 (12.3) 3 (1.1) 1 (3.4) 10 (4.8) Abbreviation: CAs=chromosomal abnormalities; SCAs=sex chromosomal abnormalities.
* Differences between the 2013–2015 period and 2016–2022 period, using Chi-square test.
† Differences between the 2013–2015 period and 2016–2022 period, as determined by Fisher’s exact test.Table 3. Variations in characteristics of chromosomal abnormality cases over select time periods in Haidian District, Beijing, China, n (%).
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