Oral corticosteroids (OCS) are frequently used during pregnancy, but patterns of their usage and indications are understudied. We described OCS utilization among pregnant women in South Korea using the Health Insurance Review and Assessment database, 2010–2021. Among 4,574,294 pregnancies, 6.2% (n = 283,001) were exposed to OCS, with the annual prevalence increasing from 4.98% in 2010 to 6.65% in 2021. Methylprednisolone and prednisolone accounted for 90% of OCS use during pregnancy, and the median duration of prescriptions was four days. Respiratory and skin diseases were the most common indications, and prescriptions for pregnancy-associated conditions increased notably after 2017, coinciding with insurance coverage for infertility treatments. OCS prescriptions declined during the first trimester and increased near delivery, suggesting discontinuation upon pregnancy recognition. Our findings highlight the common and increasing use of OCS during pregnancy, mainly for acute conditions, underscoring the need for further research on their safety in pregnant populations.

Oral corticosteroids (OCS) are frequently used during pregnancy, but patterns of their usage and indications are understudied. We described OCS utilization among pregnant women in South Korea using the Health Insurance Review and Assessment database, 2010–2021. Among 4,574,294 pregnancies, 6.2% (n = 283,001) were exposed to OCS, with the annual prevalence increasing from 4.98% in 2010 to 6.65% in 2021. Methylprednisolone and prednisolone accounted for 90% of OCS use during pregnancy, and the median duration of prescriptions was four days. Respiratory and skin diseases were the most common indications, and prescriptions for pregnancy-associated conditions increased notably after 2017, coinciding with insurance coverage for infertility treatments. OCS prescriptions declined during the first trimester and increased near delivery, suggesting discontinuation upon pregnancy recognition. Our findings highlight the common and increasing use of OCS during pregnancy, mainly for acute conditions, underscoring the need for further research on their safety in pregnant populations.

There is a growing interest in using artificial intelligence (AI) technology to obtain information on the risk and safety of drugs in pregnancy. Inadvertent drug exposure in pregnant women is inevitable in acute or chronic diseases, especially in unplanned pregnancies. According to the Korean mother safe counselling center database (2010-2023), many Korean pregnant women and their families asked about the teratogenicity of their exposed drugs. The most frequently used drug was topiramate (n=2,018), followed by isotretinoin (n=1,972), dexamethasone (n=1,279), and doxycycline (n=1,119). Unexpectedly, thalidomide, a notorious teratogen that causes phocomelia, was included. It has been withdrawn from general prescriptions since 1961, except for the treatment of multiple myeloma. Her partner used it for the treatment of multiple myeloma. In this study, we evaluated the usefulness of AI Chat generative pretrained transformer (Chat GPT) by comparing information between AI and a literature review on isotretinoin, a well-known teratogen to which Korean pregnant women are frequently exposed. Chat GPT provides general information on teratogenicity for pregnant women and medical providers rather than on their exposure. Thus, AI can induce unnecessary termination of pregnancy due to misinformation and misperception in cases of notorious teratogens such as isotretinoin. Therefore, counseling on the teratogenicity of medication exposure in pregnancy must be performed with Chat GPT, as well as a literature review. Further studies are required to obtain more individualized information using AI in the field of teratology.

Oral corticosteroids (OCS) are frequently used during pregnancy, but patterns of their usage and indications are understudied. We described OCS utilization among pregnant women in South Korea using the Health Insurance Review and Assessment database, 2010–2021. Among 4,574,294 pregnancies, 6.2% (n = 283,001) were exposed to OCS, with the annual prevalence increasing from 4.98% in 2010 to 6.65% in 2021. Methylprednisolone and prednisolone accounted for 90% of OCS use during pregnancy, and the median duration of prescriptions was four days. Respiratory and skin diseases were the most common indications, and prescriptions for pregnancy-associated conditions increased notably after 2017, coinciding with insurance coverage for infertility treatments. OCS prescriptions declined during the first trimester and increased near delivery, suggesting discontinuation upon pregnancy recognition. Our findings highlight the common and increasing use of OCS during pregnancy, mainly for acute conditions, underscoring the need for further research on their safety in pregnant populations.

Oral corticosteroids (OCS) are frequently used during pregnancy, but patterns of their usage and indications are understudied. We described OCS utilization among pregnant women in South Korea using the Health Insurance Review and Assessment database, 2010–2021. Among 4,574,294 pregnancies, 6.2% (n = 283,001) were exposed to OCS, with the annual prevalence increasing from 4.98% in 2010 to 6.65% in 2021. Methylprednisolone and prednisolone accounted for 90% of OCS use during pregnancy, and the median duration of prescriptions was four days. Respiratory and skin diseases were the most common indications, and prescriptions for pregnancy-associated conditions increased notably after 2017, coinciding with insurance coverage for infertility treatments. OCS prescriptions declined during the first trimester and increased near delivery, suggesting discontinuation upon pregnancy recognition. Our findings highlight the common and increasing use of OCS during pregnancy, mainly for acute conditions, underscoring the need for further research on their safety in pregnant populations.

There is a growing interest in using artificial intelligence (AI) technology to obtain information on the risk and safety of drugs in pregnancy. Inadvertent drug exposure in pregnant women is inevitable in acute or chronic diseases, especially in unplanned pregnancies. According to the Korean mother safe counselling center database (2010-2023), many Korean pregnant women and their families asked about the teratogenicity of their exposed drugs. The most frequently used drug was topiramate (n=2,018), followed by isotretinoin (n=1,972), dexamethasone (n=1,279), and doxycycline (n=1,119). Unexpectedly, thalidomide, a notorious teratogen that causes phocomelia, was included. It has been withdrawn from general prescriptions since 1961, except for the treatment of multiple myeloma. Her partner used it for the treatment of multiple myeloma. In this study, we evaluated the usefulness of AI Chat generative pretrained transformer (Chat GPT) by comparing information between AI and a literature review on isotretinoin, a well-known teratogen to which Korean pregnant women are frequently exposed. Chat GPT provides general information on teratogenicity for pregnant women and medical providers rather than on their exposure. Thus, AI can induce unnecessary termination of pregnancy due to misinformation and misperception in cases of notorious teratogens such as isotretinoin. Therefore, counseling on the teratogenicity of medication exposure in pregnancy must be performed with Chat GPT, as well as a literature review. Further studies are required to obtain more individualized information using AI in the field of teratology.

There is a growing interest in using artificial intelligence (AI) technology to obtain information on the risk and safety of drugs in pregnancy. Inadvertent drug exposure in pregnant women is inevitable in acute or chronic diseases, especially in unplanned pregnancies. According to the Korean mother safe counselling center database (2010-2023), many Korean pregnant women and their families asked about the teratogenicity of their exposed drugs. The most frequently used drug was topiramate (n=2,018), followed by isotretinoin (n=1,972), dexamethasone (n=1,279), and doxycycline (n=1,119). Unexpectedly, thalidomide, a notorious teratogen that causes phocomelia, was included. It has been withdrawn from general prescriptions since 1961, except for the treatment of multiple myeloma. Her partner used it for the treatment of multiple myeloma. In this study, we evaluated the usefulness of AI Chat generative pretrained transformer (Chat GPT) by comparing information between AI and a literature review on isotretinoin, a well-known teratogen to which Korean pregnant women are frequently exposed. Chat GPT provides general information on teratogenicity for pregnant women and medical providers rather than on their exposure. Thus, AI can induce unnecessary termination of pregnancy due to misinformation and misperception in cases of notorious teratogens such as isotretinoin. Therefore, counseling on the teratogenicity of medication exposure in pregnancy must be performed with Chat GPT, as well as a literature review. Further studies are required to obtain more individualized information using AI in the field of teratology.

There is a growing interest in using artificial intelligence (AI) technology to obtain information on the risk and safety of drugs in pregnancy. Inadvertent drug exposure in pregnant women is inevitable in acute or chronic diseases, especially in unplanned pregnancies. According to the Korean mother safe counselling center database (2010-2023), many Korean pregnant women and their families asked about the teratogenicity of their exposed drugs. The most frequently used drug was topiramate (n=2,018), followed by isotretinoin (n=1,972), dexamethasone (n=1,279), and doxycycline (n=1,119). Unexpectedly, thalidomide, a notorious teratogen that causes phocomelia, was included. It has been withdrawn from general prescriptions since 1961, except for the treatment of multiple myeloma. Her partner used it for the treatment of multiple myeloma. In this study, we evaluated the usefulness of AI Chat generative pretrained transformer (Chat GPT) by comparing information between AI and a literature review on isotretinoin, a well-known teratogen to which Korean pregnant women are frequently exposed. Chat GPT provides general information on teratogenicity for pregnant women and medical providers rather than on their exposure. Thus, AI can induce unnecessary termination of pregnancy due to misinformation and misperception in cases of notorious teratogens such as isotretinoin. Therefore, counseling on the teratogenicity of medication exposure in pregnancy must be performed with Chat GPT, as well as a literature review. Further studies are required to obtain more individualized information using AI in the field of teratology.

There is a growing interest in using artificial intelligence (AI) technology to obtain information on the risk and safety of drugs in pregnancy. Inadvertent drug exposure in pregnant women is inevitable in acute or chronic diseases, especially in unplanned pregnancies. According to the Korean mother safe counselling center database (2010-2023), many Korean pregnant women and their families asked about the teratogenicity of their exposed drugs. The most frequently used drug was topiramate (n=2,018), followed by isotretinoin (n=1,972), dexamethasone (n=1,279), and doxycycline (n=1,119). Unexpectedly, thalidomide, a notorious teratogen that causes phocomelia, was included. It has been withdrawn from general prescriptions since 1961, except for the treatment of multiple myeloma. Her partner used it for the treatment of multiple myeloma. In this study, we evaluated the usefulness of AI Chat generative pretrained transformer (Chat GPT) by comparing information between AI and a literature review on isotretinoin, a well-known teratogen to which Korean pregnant women are frequently exposed. Chat GPT provides general information on teratogenicity for pregnant women and medical providers rather than on their exposure. Thus, AI can induce unnecessary termination of pregnancy due to misinformation and misperception in cases of notorious teratogens such as isotretinoin. Therefore, counseling on the teratogenicity of medication exposure in pregnancy must be performed with Chat GPT, as well as a literature review. Further studies are required to obtain more individualized information using AI in the field of teratology.

Background: Oral retinoids are used to treat various dermatological conditions, and their use is increasing in women of childbearing age. However, there is limited knowledge on the incidence of adverse outcomes after retinoid exposure during pregnancy. We aimed to evaluate the risk of adverse outcomes associated with oral retinoid exposure during pregnancy. Methods: We conducted a retrospective cohort study using the NHIS mother-child linked healthcare database in South Korea. We included all women who gave live birth from April 1, 2009 to December 31, 2020 and their children. The exposure was defined as having ≥ 1 prescription of isotretinoin, alitretinoin, and acitretin from one month before pregnancy to the delivery. The outcomes of interest were adverse child outcomes including major congenital malformations, low birth weight, and neurodevelopmental disorders (autism spectrum disorder and intellectual disorder), and adverse pregnancy outcomes including gestational diabetes mellitus, preeclampsia, and postpartum hemorrhage. Propensity score-based matching weights were used to control for various potential confounders. For congenital malformation, low birth weight, and adverse pregnancy outcomes, we calculated relative risk (RR) with 95% confidence interval (CI) using a generalized linear model and for neurodevelopmental disorders, we estimated hazard ratio (HR) with 95% CI using the Cox proportional hazard model. Results: Of 3,894,184 pregnancies, we identified 720 pregnancies (0.02%) as the oral retinoid-exposed group. The incidence of major congenital malformation was 400.6 per 10,000 births for oral retinoid-exposed group and 357.9 per 10,000 births for unexposed group and the weighted RR was 1.10 (95% CI, 0.65–1.85) in oral retinoid-exposed group compared with unexposed group. The neurodevelopmental disorder showed a potential increased risk, with the weighted HR of 1.63 (95% CI, 0.60–4.41) for autism spectrum disorder and 1.71 (95% CI, 0.60–4.93) for the intellectual disorder, although it did not reach statistical significance. For low birth weight and adverse pregnancy outcomes, no association was observed with oral retinoid exposure during pregnancy. Conclusion This study found no significantly increased risk of congenital malformations, autism spectrum disorders, and intellectual disability associated with oral retinoid exposure during pregnancy; however, given the limitations such as including only the live births and increased point estimate, potential risk cannot be fully excluded.