Pub Date : 2026-03-20DOI: 10.1016/s0002-9378(26)00092-x
{"title":"AJOG MFM Table of Contents","authors":"","doi":"10.1016/s0002-9378(26)00092-x","DOIUrl":"https://doi.org/10.1016/s0002-9378(26)00092-x","url":null,"abstract":"","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"15 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147495430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-20DOI: 10.1016/s0002-9378(26)00093-1
{"title":"AJOG GR Table of Contents","authors":"","doi":"10.1016/s0002-9378(26)00093-1","DOIUrl":"https://doi.org/10.1016/s0002-9378(26)00093-1","url":null,"abstract":"","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"104 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147496411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-20DOI: 10.1016/j.ajog.2026.03.013
Mary Tschann,Reni Soon,Bliss Kaneshiro,Melissa Natavio,Brandi Mikami,Marit Pearlman-Shapiro
{"title":"Evaluating an asynchronous self-screening and patient-education tool for medication abortion without ultrasound.","authors":"Mary Tschann,Reni Soon,Bliss Kaneshiro,Melissa Natavio,Brandi Mikami,Marit Pearlman-Shapiro","doi":"10.1016/j.ajog.2026.03.013","DOIUrl":"https://doi.org/10.1016/j.ajog.2026.03.013","url":null,"abstract":"","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"45 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147495006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-20DOI: 10.1016/s0002-9378(26)00091-8
{"title":"Information for readers","authors":"","doi":"10.1016/s0002-9378(26)00091-8","DOIUrl":"https://doi.org/10.1016/s0002-9378(26)00091-8","url":null,"abstract":"","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"14 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147496679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-19DOI: 10.1016/j.ajog.2026.03.014
Joel G Ray,Maria P Velez,Yuguang Kang,Tianhua Huang,Natalie Dayan,Jennifer A Jairam,Ziv Harel
{"title":"First-trimester serum placental growth factor and risk of severe maternal morbidity and mortality.","authors":"Joel G Ray,Maria P Velez,Yuguang Kang,Tianhua Huang,Natalie Dayan,Jennifer A Jairam,Ziv Harel","doi":"10.1016/j.ajog.2026.03.014","DOIUrl":"https://doi.org/10.1016/j.ajog.2026.03.014","url":null,"abstract":"","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"60 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147492943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-19DOI: 10.1016/j.ajog.2026.03.010
Rongdan Chen,Wei Qing,Shenghai Wu
{"title":"Methodological considerations in probiotic therapy for vulvovaginal candidiasis research (Reply to Letter-to-the-Editor).","authors":"Rongdan Chen,Wei Qing,Shenghai Wu","doi":"10.1016/j.ajog.2026.03.010","DOIUrl":"https://doi.org/10.1016/j.ajog.2026.03.010","url":null,"abstract":"","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"37 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147492944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-19DOI: 10.1016/j.ajog.2026.03.011
Lyndsey S Benson,Vanessa Dalton,Brian Madden,Xilin Chen,Hari Nathan,Michelle Moniz
{"title":"Social vulnerability and management of early pregnancy loss.","authors":"Lyndsey S Benson,Vanessa Dalton,Brian Madden,Xilin Chen,Hari Nathan,Michelle Moniz","doi":"10.1016/j.ajog.2026.03.011","DOIUrl":"https://doi.org/10.1016/j.ajog.2026.03.011","url":null,"abstract":"","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"31 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147492941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-19DOI: 10.1016/j.ajog.2026.03.009
Shaojing Xu,Sizhuo Chen
{"title":"Strain Specificity and Host Microenvironment: Essential Considerations in Probiotic Therapy for Vulvovaginal Candidiasis (Letter-to-the-Editor).","authors":"Shaojing Xu,Sizhuo Chen","doi":"10.1016/j.ajog.2026.03.009","DOIUrl":"https://doi.org/10.1016/j.ajog.2026.03.009","url":null,"abstract":"","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"82 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147492940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BACKGROUNDTo support surgical education, there has been an increasing focus on integrating surgical data, including surgical motion, activity and process understanding, to develop predictive models to assess surgical skills.OBJECTIVEWe aimed to develop deep learning models to predict technical errors and generic surgical skills based on fine grained analysis during robotic-assisted vaginal cuff closures as part of a hysterectomy METHODS: We conducted a multi-centre prospective observational cohort study of robotic-assisted total hysterectomy performed between 2023-2025. Vaginal cuff closure video segments, recorded on the Touch Surgery Video platform via the DS1 computer, were extracted and double-annotated by two trained surgeons: errors via Objective Clinical Human Reliability Analysis (OCHRA) and global skill via modifiable GEARS (mGEARS). Three deep-learning pipelines were developed two critical surgical tasks: Surgical Video Error Detection (SVED) via temporal modelling models, and surgical skill assessment via few-shot surgical skill assessment and a multimodal learning.RESULTSA total of 40 videos including 667 minutes, (1201654 frames), from two centres were analysed. Eleven surgeons performed the vaginal cuff closure (3 beginners 5 intermediates, 3 experts). Inter-rater reliability was good for both mGEARS: ICC = 0.807, p=.001 and OCHRA error counts ICC : 0.712, p=.010). Median mGEARS was 21.0 (IQR 19.1-24.6) and median errors 25.0 (IQR 16.3-31.5). Level of experience showed significant correlation to mGEARS: Kruskal Wallis test was <0.002. Significant correlations were found between operative time and mGEARS and OCHRA: rs=-0.534, p<0.001, and rs = 0.421, p=.007. Few-shot experiments showed that, in the 5-shot setting, the model achieves a performance of 81.70% accuracy and 81.30% F1- score. Complementing this, the multimodal skill assessment model achieved excellent agreement with manual assessment ratings: rs = 0.85 ± 0.02; MAE = 1.85 ± 0.16.CONCLUSIONThis proof-of-concept shows that deep learning can objectively score generic surgical skill and initial flag frame-level errors in vaginal cuff closure videos, aligning with validated objective assessment tools. Although larger, multi-centre datasets remain essential, these results lay groundwork for Artificial Intelligence driven quality monitoring and evidence-based credentialing in minimally invasive gynecological surgery.
{"title":"Deep learning for Evaluation and Prediction of TecHnical Skills in robotic-assisted vaginal cuff closure (DEPTHS) study.","authors":"Freweini Tesfai,Jialang Xu,Dimitrios Anastasiou,Runlong He,Matthew Boal,Yekaterina Aranan,Gita Lingam,Diya Shah,Danail Stoyanov,Dhivya Chandrasekaran,Evangelos Mazomenos,Nader Francis","doi":"10.1016/j.ajog.2026.03.015","DOIUrl":"https://doi.org/10.1016/j.ajog.2026.03.015","url":null,"abstract":"BACKGROUNDTo support surgical education, there has been an increasing focus on integrating surgical data, including surgical motion, activity and process understanding, to develop predictive models to assess surgical skills.OBJECTIVEWe aimed to develop deep learning models to predict technical errors and generic surgical skills based on fine grained analysis during robotic-assisted vaginal cuff closures as part of a hysterectomy METHODS: We conducted a multi-centre prospective observational cohort study of robotic-assisted total hysterectomy performed between 2023-2025. Vaginal cuff closure video segments, recorded on the Touch Surgery Video platform via the DS1 computer, were extracted and double-annotated by two trained surgeons: errors via Objective Clinical Human Reliability Analysis (OCHRA) and global skill via modifiable GEARS (mGEARS). Three deep-learning pipelines were developed two critical surgical tasks: Surgical Video Error Detection (SVED) via temporal modelling models, and surgical skill assessment via few-shot surgical skill assessment and a multimodal learning.RESULTSA total of 40 videos including 667 minutes, (1201654 frames), from two centres were analysed. Eleven surgeons performed the vaginal cuff closure (3 beginners 5 intermediates, 3 experts). Inter-rater reliability was good for both mGEARS: ICC = 0.807, p=.001 and OCHRA error counts ICC : 0.712, p=.010). Median mGEARS was 21.0 (IQR 19.1-24.6) and median errors 25.0 (IQR 16.3-31.5). Level of experience showed significant correlation to mGEARS: Kruskal Wallis test was <0.002. Significant correlations were found between operative time and mGEARS and OCHRA: rs=-0.534, p<0.001, and rs = 0.421, p=.007. Few-shot experiments showed that, in the 5-shot setting, the model achieves a performance of 81.70% accuracy and 81.30% F1- score. Complementing this, the multimodal skill assessment model achieved excellent agreement with manual assessment ratings: rs = 0.85 ± 0.02; MAE = 1.85 ± 0.16.CONCLUSIONThis proof-of-concept shows that deep learning can objectively score generic surgical skill and initial flag frame-level errors in vaginal cuff closure videos, aligning with validated objective assessment tools. Although larger, multi-centre datasets remain essential, these results lay groundwork for Artificial Intelligence driven quality monitoring and evidence-based credentialing in minimally invasive gynecological surgery.","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"15 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147492945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-19DOI: 10.1016/j.ajog.2026.03.012
Nicole Konecke,Tracy L Jackson,Irving Angeles,Iman I Sigman,Crystal F Ware,Ashley E Benson,Joseph J Shatzel,Nandini Raghuraman,Molly J Stout,Ann M Bruno,Steven Fein,Carolyn Webster,Michael Auerbach,Jamie O Lo,Methodius G Tuuli,Adam K Lewkowitz
OBJECTIVETo decrease the risk of adverse maternal and neonatal outcomes,1,2 iron therapy is recommended for pregnant people with iron deficiency anemia (IDA).1 To support our ongoing multicenter randomized trial on the optimal iron therapy for antenatal IDA (NCT05462704),3 we initiated universal ferritin screening, though this practice is not currently recommended.4 Nevertheless, perhaps because normal pregnancy physiology may cause first trimester iron deficiency without anemia (IDWA), defined as ferritin <30 ng/mL with hemoglobin (Hgb) ≥ 11 g/d, to progress to IDA,5 a clinical consensus based on expert opinion recommended treating iron deficiency in pregnancy regardless of anemia.6 Here, we examine the association between first trimester IDWA and the development of IDA later in pregnancy.METHODSOur pregnant patients receive a complete blood count and ferritin as part of their intake obstetric laboratory panel and are prescribed prenatal vitamins with iron. In this prospective cohort study, individuals with singleton first-trimester gestations who obtained an intake obstetric laboratory panel from February 2023 to July 2025 were included. Those with anemia were excluded. The primary outcome was IDA prior to childbirth, defined as being prescribed intravenous or oral iron therapy at any gestational age or progression to IDA before delivery. Secondary outcomes are described in Table 2. Relative risks (RR) were calculated adjusting for race and ethnicity. This study was IRB-approved.RESULTSAmong 511 people, 46 (9%) had first trimester IDA and were excluded, while 129 (25%) had first trimester IDWA, and 336 (66%) were iron replete and non-anemic. Those with IDWA were more likely to be Hispanic or Native American than those who were iron replete and non-anemic, despite similar age, parity, and BMI (Table 1). After adjusting for race/ethnicity, those with first trimester IDWA were at nearly two-fold higher risk of developing IDA prior to childbirth (IDWA n=87 (67%) versus iron-replete, non-anemic n=118 (35%), adjusted RR 1.91 (95% Confidence Interval [CI] 1.57, 2.31). There was no difference in secondary outcomes (Table 2).CONCLUSIONSUniversal screening for iron deficiency by adding ferritin to obstetric intake labs identified that first trimester IDWA affects one in four people in our clinics. Of those with first trimester IDWA, the majority (67%) developed IDA before childbirth, corresponding to nearly two-fold increased risk compared to those who were iron-replete, non-anemic in the first trimester. These findings demonstrate that first trimester IDWA has high likelihood of progressing to IDA, for which treatment is recommended.1,2 This study's strengths included its prospective design, its diverse patient population, and low risk of loss-to-follow-up as everyone in our cohort received all perinatal care within our healthcare system. Limitations include excluding those screened for iron deficiency after the first trimester due to late initiation of
{"title":"The association between first trimester iron deficiency without anemia and the development of iron-deficiency anemia prior to childbirth.","authors":"Nicole Konecke,Tracy L Jackson,Irving Angeles,Iman I Sigman,Crystal F Ware,Ashley E Benson,Joseph J Shatzel,Nandini Raghuraman,Molly J Stout,Ann M Bruno,Steven Fein,Carolyn Webster,Michael Auerbach,Jamie O Lo,Methodius G Tuuli,Adam K Lewkowitz","doi":"10.1016/j.ajog.2026.03.012","DOIUrl":"https://doi.org/10.1016/j.ajog.2026.03.012","url":null,"abstract":"OBJECTIVETo decrease the risk of adverse maternal and neonatal outcomes,1,2 iron therapy is recommended for pregnant people with iron deficiency anemia (IDA).1 To support our ongoing multicenter randomized trial on the optimal iron therapy for antenatal IDA (NCT05462704),3 we initiated universal ferritin screening, though this practice is not currently recommended.4 Nevertheless, perhaps because normal pregnancy physiology may cause first trimester iron deficiency without anemia (IDWA), defined as ferritin <30 ng/mL with hemoglobin (Hgb) ≥ 11 g/d, to progress to IDA,5 a clinical consensus based on expert opinion recommended treating iron deficiency in pregnancy regardless of anemia.6 Here, we examine the association between first trimester IDWA and the development of IDA later in pregnancy.METHODSOur pregnant patients receive a complete blood count and ferritin as part of their intake obstetric laboratory panel and are prescribed prenatal vitamins with iron. In this prospective cohort study, individuals with singleton first-trimester gestations who obtained an intake obstetric laboratory panel from February 2023 to July 2025 were included. Those with anemia were excluded. The primary outcome was IDA prior to childbirth, defined as being prescribed intravenous or oral iron therapy at any gestational age or progression to IDA before delivery. Secondary outcomes are described in Table 2. Relative risks (RR) were calculated adjusting for race and ethnicity. This study was IRB-approved.RESULTSAmong 511 people, 46 (9%) had first trimester IDA and were excluded, while 129 (25%) had first trimester IDWA, and 336 (66%) were iron replete and non-anemic. Those with IDWA were more likely to be Hispanic or Native American than those who were iron replete and non-anemic, despite similar age, parity, and BMI (Table 1). After adjusting for race/ethnicity, those with first trimester IDWA were at nearly two-fold higher risk of developing IDA prior to childbirth (IDWA n=87 (67%) versus iron-replete, non-anemic n=118 (35%), adjusted RR 1.91 (95% Confidence Interval [CI] 1.57, 2.31). There was no difference in secondary outcomes (Table 2).CONCLUSIONSUniversal screening for iron deficiency by adding ferritin to obstetric intake labs identified that first trimester IDWA affects one in four people in our clinics. Of those with first trimester IDWA, the majority (67%) developed IDA before childbirth, corresponding to nearly two-fold increased risk compared to those who were iron-replete, non-anemic in the first trimester. These findings demonstrate that first trimester IDWA has high likelihood of progressing to IDA, for which treatment is recommended.1,2 This study's strengths included its prospective design, its diverse patient population, and low risk of loss-to-follow-up as everyone in our cohort received all perinatal care within our healthcare system. Limitations include excluding those screened for iron deficiency after the first trimester due to late initiation of","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"236 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147492946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}