151 results on '"Gabbay-Benziv R"'
Search Results
2. External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta-analysis
- Author
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Allotey, J, Whittle, R, Snell, K, Smuk, M, Townsend, R, von Dadelszen, P, Heazell, A, Magee, L, Smith, G, Sandall, J, Thilaganathan, B, Zamora, J, Riley, R, Khalil, A, Thangaratinam, S, Coomarasamy, A, Kwong, A, Savitri, A, Salvesen, K, Bhattacharya, S, Uiterwaal, C, Staff, A, Andersen, L, Olive, E, Redman, C, Sletner, L, Daskalakis, G, Macleod, M, Abdollahain, M, Ramirez, J, Masse, J, Audibert, F, Magnus, P, Jenum, A, Baschat, A, Ohkuchi, A, Mcauliffe, F, West, J, Askie, L, Mone, F, Farrar, D, Zimmerman, P, Smits, L, Riddell, C, Kingdom, J, van de Post, J, Illanes, S, Holzman, C, van Kuijk, S, Carbillon, L, Villa, P, Eskild, A, Chappell, L, Prefumo, F, Velauthar, L, Seed, P, van Oostwaard, M, Verlohren, S, Poston, L, Ferrazzi, E, Vinter, C, Nagata, C, Brown, M, Vollebregt, K, Takeda, S, Langenveld, J, Widmer, M, Saito, S, Haavaldsen, C, Carroli, G, Olsen, J, Wolf, H, Zavaleta, N, Eisensee, I, Vergani, P, Lumbiganon, P, Makrides, M, Facchinetti, F, Sequeira, E, Gibson, R, Ferrazzani, S, Frusca, T, Norman, J, Figueiro, E, Lapaire, O, Laivuori, H, Lykke, J, Conde-Agudelo, A, Galindo, A, Mbah, A, Betran, A, Herraiz, I, Trogstad, L, Steegers, E, Salim, R, Huang, T, Adank, A, Zhang, J, Meschino, W, Browne, J, Allen, R, Costa, F, Klipstein-Grobusch Browne, K, Crowther, C, Jorgensen, J, Forest, J, Rumbold, A, Mol, B, Giguere, Y, Kenny, L, Ganzevoort, W, Odibo, A, Myers, J, Yeo, S, Goffinet, F, Mccowan, L, Pajkrt, E, Teede, H, Haddad, B, Dekker, G, Kleinrouweler, E, Lecarpentier, E, Roberts, C, Groen, H, Skrastad, R, Heinonen, S, Eero, K, Anggraini, D, Souka, A, Cecatti, J, Monterio, I, Pillalis, A, Souza, R, Hawkins, L, Gabbay-Benziv, R, Crovetto, F, Figuera, F, Jorgensen, L, Dodds, J, Patel, M, Aviram, A, Papageorghiou, A, Khan, K, Allotey J., Whittle R., Snell K. I. E., Smuk M., Townsend R., von Dadelszen P., Heazell A. E. P., Magee L., Smith G. C. S., Sandall J., Thilaganathan B., Zamora J., Riley R. D., Khalil A., Thangaratinam S., Coomarasamy A., Kwong A., Savitri A. I., Salvesen K. A., Bhattacharya S., Uiterwaal C. S. P. M., Staff A. C., Andersen L. B., Olive E. L., Redman C., Sletner L., Daskalakis G., Macleod M., Abdollahain M., Ramirez J. A., Masse J., Audibert F., Magnus P. M., Jenum A. K., Baschat A., Ohkuchi A., McAuliffe F. M., West J., Askie L. M., Mone F., Farrar D., Zimmerman P. A., Smits L. J. M., Riddell C., Kingdom J. C., van de Post J., Illanes S. E., Holzman C., van Kuijk S. M. J., Carbillon L., Villa P. M., Eskild A., Chappell L., Prefumo F., Velauthar L., Seed P., van Oostwaard M., Verlohren S., Poston L., Ferrazzi E., Vinter C. A., Nagata C., Brown M., Vollebregt K. C., Takeda S., Langenveld J., Widmer M., Saito S., Haavaldsen C., Carroli G., Olsen J., Wolf H., Zavaleta N., Eisensee I., Vergani P., Lumbiganon P., Makrides M., Facchinetti F., Sequeira E., Gibson R., Ferrazzani S., Frusca T., Norman J. E., Figueiro E. A., Lapaire O., Laivuori H., Lykke J. A., Conde-Agudelo A., Galindo A., Mbah A., Betran A. P., Herraiz I., Trogstad L., Smith G. G. S., Steegers E. A. P., Salim R., Huang T., Adank A., Zhang J., Meschino W. S., Browne J. L., Allen R. E., Costa F. D. S., Klipstein-Grobusch Browne K., Crowther C. A., Jorgensen J. S., Forest J. -C., Rumbold A. R., Mol B. W., Giguere Y., Kenny L. C., Ganzevoort W., Odibo A. O., Myers J., Yeo S. A., Goffinet F., McCowan L., Pajkrt E., Teede H. J., Haddad B. G., Dekker G., Kleinrouweler E. C., LeCarpentier E., Roberts C. T., Groen H., Skrastad R. B., Heinonen S., Eero K., Anggraini D., Souka A., Cecatti J. G., Monterio I., Pillalis A., Souza R., Hawkins L. A., Gabbay-Benziv R., Crovetto F., Figuera F., Jorgensen L., Dodds J., Patel M., Aviram A., Papageorghiou A., Khan K., Allotey, J, Whittle, R, Snell, K, Smuk, M, Townsend, R, von Dadelszen, P, Heazell, A, Magee, L, Smith, G, Sandall, J, Thilaganathan, B, Zamora, J, Riley, R, Khalil, A, Thangaratinam, S, Coomarasamy, A, Kwong, A, Savitri, A, Salvesen, K, Bhattacharya, S, Uiterwaal, C, Staff, A, Andersen, L, Olive, E, Redman, C, Sletner, L, Daskalakis, G, Macleod, M, Abdollahain, M, Ramirez, J, Masse, J, Audibert, F, Magnus, P, Jenum, A, Baschat, A, Ohkuchi, A, Mcauliffe, F, West, J, Askie, L, Mone, F, Farrar, D, Zimmerman, P, Smits, L, Riddell, C, Kingdom, J, van de Post, J, Illanes, S, Holzman, C, van Kuijk, S, Carbillon, L, Villa, P, Eskild, A, Chappell, L, Prefumo, F, Velauthar, L, Seed, P, van Oostwaard, M, Verlohren, S, Poston, L, Ferrazzi, E, Vinter, C, Nagata, C, Brown, M, Vollebregt, K, Takeda, S, Langenveld, J, Widmer, M, Saito, S, Haavaldsen, C, Carroli, G, Olsen, J, Wolf, H, Zavaleta, N, Eisensee, I, Vergani, P, Lumbiganon, P, Makrides, M, Facchinetti, F, Sequeira, E, Gibson, R, Ferrazzani, S, Frusca, T, Norman, J, Figueiro, E, Lapaire, O, Laivuori, H, Lykke, J, Conde-Agudelo, A, Galindo, A, Mbah, A, Betran, A, Herraiz, I, Trogstad, L, Steegers, E, Salim, R, Huang, T, Adank, A, Zhang, J, Meschino, W, Browne, J, Allen, R, Costa, F, Klipstein-Grobusch Browne, K, Crowther, C, Jorgensen, J, Forest, J, Rumbold, A, Mol, B, Giguere, Y, Kenny, L, Ganzevoort, W, Odibo, A, Myers, J, Yeo, S, Goffinet, F, Mccowan, L, Pajkrt, E, Teede, H, Haddad, B, Dekker, G, Kleinrouweler, E, Lecarpentier, E, Roberts, C, Groen, H, Skrastad, R, Heinonen, S, Eero, K, Anggraini, D, Souka, A, Cecatti, J, Monterio, I, Pillalis, A, Souza, R, Hawkins, L, Gabbay-Benziv, R, Crovetto, F, Figuera, F, Jorgensen, L, Dodds, J, Patel, M, Aviram, A, Papageorghiou, A, Khan, K, Allotey J., Whittle R., Snell K. I. E., Smuk M., Townsend R., von Dadelszen P., Heazell A. E. P., Magee L., Smith G. C. S., Sandall J., Thilaganathan B., Zamora J., Riley R. D., Khalil A., Thangaratinam S., Coomarasamy A., Kwong A., Savitri A. I., Salvesen K. A., Bhattacharya S., Uiterwaal C. S. P. M., Staff A. C., Andersen L. B., Olive E. L., Redman C., Sletner L., Daskalakis G., Macleod M., Abdollahain M., Ramirez J. A., Masse J., Audibert F., Magnus P. M., Jenum A. K., Baschat A., Ohkuchi A., McAuliffe F. M., West J., Askie L. M., Mone F., Farrar D., Zimmerman P. A., Smits L. J. M., Riddell C., Kingdom J. C., van de Post J., Illanes S. E., Holzman C., van Kuijk S. M. J., Carbillon L., Villa P. M., Eskild A., Chappell L., Prefumo F., Velauthar L., Seed P., van Oostwaard M., Verlohren S., Poston L., Ferrazzi E., Vinter C. A., Nagata C., Brown M., Vollebregt K. C., Takeda S., Langenveld J., Widmer M., Saito S., Haavaldsen C., Carroli G., Olsen J., Wolf H., Zavaleta N., Eisensee I., Vergani P., Lumbiganon P., Makrides M., Facchinetti F., Sequeira E., Gibson R., Ferrazzani S., Frusca T., Norman J. E., Figueiro E. A., Lapaire O., Laivuori H., Lykke J. A., Conde-Agudelo A., Galindo A., Mbah A., Betran A. P., Herraiz I., Trogstad L., Smith G. G. S., Steegers E. A. P., Salim R., Huang T., Adank A., Zhang J., Meschino W. S., Browne J. L., Allen R. E., Costa F. D. S., Klipstein-Grobusch Browne K., Crowther C. A., Jorgensen J. S., Forest J. -C., Rumbold A. R., Mol B. W., Giguere Y., Kenny L. C., Ganzevoort W., Odibo A. O., Myers J., Yeo S. A., Goffinet F., McCowan L., Pajkrt E., Teede H. J., Haddad B. G., Dekker G., Kleinrouweler E. C., LeCarpentier E., Roberts C. T., Groen H., Skrastad R. B., Heinonen S., Eero K., Anggraini D., Souka A., Cecatti J. G., Monterio I., Pillalis A., Souza R., Hawkins L. A., Gabbay-Benziv R., Crovetto F., Figuera F., Jorgensen L., Dodds J., Patel M., Aviram A., Papageorghiou A., and Khan K.
- Abstract
Objective: Stillbirth is a potentially preventable complication of pregnancy. Identifying women at high risk of stillbirth can guide decisions on the need for closer surveillance and timing of delivery in order to prevent fetal death. Prognostic models have been developed to predict the risk of stillbirth, but none has yet been validated externally. In this study, we externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. Methods: MEDLINE, EMBASE, DH-DATA and AMED databases were searched from inception to December 2020 to identify studies reporting stillbirth prediction models. Studies that developed or updated prediction models for stillbirth for use at any time during pregnancy were included. IPD from cohorts within the International Prediction of Pregnancy Complications (IPPIC) Network were used to validate externally the identified prediction models whose individual variables were available in the IPD. The risk of bias of the models and cohorts was assessed using the Prediction study Risk Of Bias ASsessment Tool (PROBAST). The discriminative performance of the models was evaluated using the C-statistic, and calibration was assessed using calibration plots, calibration slope and calibration-in-the-large. Performance measures were estimated separately in each cohort, as well as summarized across cohorts using random-effects meta-analysis. Clinical utility was assessed using net benefit. Results: Seventeen studies reporting the development of 40 prognostic models for stillbirth were identified. None of the models had been previously validated externally, and the full model equation was reported for only one-fifth (20%, 8/40) of the models. External validation was possible for three of these models, using IPD from 19 cohorts (491 201 pregnant women) within the IPPIC Network database. Based on evaluation of the model development studies, all three models had an overa
- Published
- 2022
3. Different formulas, different thresholds and different performance—the prediction of macrosomia by ultrasound
- Author
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Aviram, A, Yogev, Y, Ashwal, E, Hiersch, L, Danon, D, Hadar, E, and Gabbay-Benziv, R
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- 2017
- Full Text
- View/download PDF
4. Prediction of large for gestational age by various sonographic fetal weight estimation formulas—which should we use?
- Author
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Aviram, A, Yogev, Y, Ashwal, E, Hiersch, L, Hadar, E, and Gabbay-Benziv, R
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- 2017
- Full Text
- View/download PDF
5. External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta-analysis
- Author
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Allotey, J., Whittle, R., Snell, K. I. E., Smuk, M., Townsend, R., von Dadelszen, P., Heazell, A. E. P., Magee, L., Smith, G. C. S., Sandall, J., Thilaganathan, B., Zamora, J., Riley, R. D., Khalil, A., Thangaratinam, S., Coomarasamy, A., Kwong, A., Savitri, A. I., Salvesen, K. A., Bhattacharya, S., Uiterwaal, C. S. P. M., Staff, A. C., Andersen, L. B., Olive, E. L., Redman, C., Sletner, L., Daskalakis, G., Macleod, M., Abdollahain, M., Ramirez, J. A., Masse, J., Audibert, F., Magnus, P. M., Jenum, A. K., Baschat, A., Ohkuchi, A., Mcauliffe, F. M., West, J., Askie, L. M., Mone, F., Farrar, D., Zimmerman, P. A., Smits, L. J. M., Riddell, C., Kingdom, J. C., van de Post, J., Illanes, S. E., Holzman, C., van Kuijk, S. M. J., Carbillon, L., Villa, P. M., Eskild, A., Chappell, L., Prefumo, F., Velauthar, L., Seed, P., van Oostwaard, M., Verlohren, S., Poston, L., Ferrazzi, E., Vinter, C. A., Nagata, C., Brown, M., Vollebregt, K. C., Takeda, S., Langenveld, J., Widmer, M., Saito, S., Haavaldsen, C., Carroli, G., Olsen, J., Wolf, H., Zavaleta, N., Eisensee, I., Vergani, P., Lumbiganon, P., Makrides, M., Facchinetti, F., Sequeira, E., Gibson, R., Ferrazzani, S., Frusca, T., Norman, J. E., Figueiro, E. A., Lapaire, O., Laivuori, H., Lykke, J. A., Conde-Agudelo, A., Galindo, A., Mbah, A., Betran, A. P., Herraiz, I., Trogstad, L., Smith, G. G. S., Steegers, E. A. P., Salim, R., Huang, T., Adank, A., Zhang, J., Meschino, W. S., Browne, J. L., Allen, R. E., Costa, F. D. S., Klipstein-Grobusch Browne, K., Crowther, C. A., Jorgensen, J. S., Forest, J. -C., Rumbold, A. R., Mol, B. W., Giguere, Y., Kenny, L. C., Ganzevoort, W., Odibo, A. O., Myers, J., Yeo, S. A., Goffinet, F., Mccowan, L., Pajkrt, E., Teede, H. J., Haddad, B. G., Dekker, G., Kleinrouweler, E. C., Lecarpentier, E., Roberts, C. T., Groen, H., Skrastad, R. B., Heinonen, S., Eero, K., Anggraini, D., Souka, A., Cecatti, J. G., Monterio, I., Pillalis, A., Souza, R., Hawkins, L. A., Gabbay-Benziv, R., Crovetto, F., Figuera, F., Jorgensen, L., Dodds, J., Patel, M., Aviram, A., Papageorghiou, A., Khan, K., Clinicum, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, HUS Children and Adolescents, Lastentautien yksikkö, Children's Hospital, Allotey, J, Whittle, R, Snell, K, Smuk, M, Townsend, R, von Dadelszen, P, Heazell, A, Magee, L, Smith, G, Sandall, J, Thilaganathan, B, Zamora, J, Riley, R, Khalil, A, Thangaratinam, S, Coomarasamy, A, Kwong, A, Savitri, A, Salvesen, K, Bhattacharya, S, Uiterwaal, C, Staff, A, Andersen, L, Olive, E, Redman, C, Sletner, L, Daskalakis, G, Macleod, M, Abdollahain, M, Ramirez, J, Masse, J, Audibert, F, Magnus, P, Jenum, A, Baschat, A, Ohkuchi, A, Mcauliffe, F, West, J, Askie, L, Mone, F, Farrar, D, Zimmerman, P, Smits, L, Riddell, C, Kingdom, J, van de Post, J, Illanes, S, Holzman, C, van Kuijk, S, Carbillon, L, Villa, P, Eskild, A, Chappell, L, Prefumo, F, Velauthar, L, Seed, P, van Oostwaard, M, Verlohren, S, Poston, L, Ferrazzi, E, Vinter, C, Nagata, C, Brown, M, Vollebregt, K, Takeda, S, Langenveld, J, Widmer, M, Saito, S, Haavaldsen, C, Carroli, G, Olsen, J, Wolf, H, Zavaleta, N, Eisensee, I, Vergani, P, Lumbiganon, P, Makrides, M, Facchinetti, F, Sequeira, E, Gibson, R, Ferrazzani, S, Frusca, T, Norman, J, Figueiro, E, Lapaire, O, Laivuori, H, Lykke, J, Conde-Agudelo, A, Galindo, A, Mbah, A, Betran, A, Herraiz, I, Trogstad, L, Steegers, E, Salim, R, Huang, T, Adank, A, Zhang, J, Meschino, W, Browne, J, Allen, R, Costa, F, Klipstein-Grobusch Browne, K, Crowther, C, Jorgensen, J, Forest, J, Rumbold, A, Mol, B, Giguere, Y, Kenny, L, Ganzevoort, W, Odibo, A, Myers, J, Yeo, S, Goffinet, F, Mccowan, L, Pajkrt, E, Teede, H, Haddad, B, Dekker, G, Kleinrouweler, E, Lecarpentier, E, Roberts, C, Groen, H, Skrastad, R, Heinonen, S, Eero, K, Anggraini, D, Souka, A, Cecatti, J, Monterio, I, Pillalis, A, Souza, R, Hawkins, L, Gabbay-Benziv, R, Crovetto, F, Figuera, F, Jorgensen, L, Dodds, J, Patel, M, Aviram, A, Papageorghiou, A, Khan, K, Tampere University, Obstetrics and Gynaecology, APH - Quality of Care, Amsterdam Reproduction & Development (AR&D), APH - Personalized Medicine, APH - Digital Health, and Obstetrics and gynaecology
- Subjects
Calibration (statistics) ,Perinatal Death ,Overfitting ,Cohort Studies ,Fetal Development ,0302 clinical medicine ,Discriminative model ,3123 Gynaecology and paediatrics ,Models ,Pregnancy ,GROWTH RESTRICTION ,Statistics ,Medicine ,Prenatal ,030212 general & internal medicine ,Ultrasonography ,RISK ,030219 obstetrics & reproductive medicine ,PRETERM ,Radiological and Ultrasound Technology ,LOW-DOSE ASPIRIN ,DIAGNOSIS TRIPOD ,Obstetrics and Gynecology ,General Medicine ,Statistical ,Stillbirth ,Prognosis ,Pregnancy Complication ,external validation ,individual participant data ,intrauterine death ,prediction model ,stillbirth ,Female ,Humans ,Infant, Newborn ,Models, Statistical ,Pregnancy Complications ,Regression Analysis ,Risk Assessment ,Ultrasonography, Prenatal ,3. Good health ,PREECLAMPSIA ,Meta-analysis ,Human ,Cohort study ,Prognosi ,MEDLINE ,Regression Analysi ,WEEKS GESTATION ,03 medical and health sciences ,VELOCIMETRY ,Radiology, Nuclear Medicine and imaging ,RECURRENCE ,business.industry ,Infant ,Newborn ,R1 ,HYPERTENSIVE DISORDERS ,Reproductive Medicine ,Sample size determination ,Cohort Studie ,RG ,business ,RA ,Predictive modelling - Abstract
Objective Stillbirth is a potentially preventable complication of pregnancy. Identifying women at high risk of stillbirth can guide decisions on the need for closer surveillance and timing of delivery in order to prevent fetal death. Prognostic models have been developed to predict the risk of stillbirth, but none has yet been validated externally. In this study, we externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. Methods MEDLINE, EMBASE, DH-DATA and AMED databases were searched from inception to December 2020 to identify studies reporting stillbirth prediction models. Studies that developed or updated prediction models for stillbirth for use at any time during pregnancy were included. IPD from cohorts within the International Prediction of Pregnancy Complications (IPPIC) Network were used to validate externally the identified prediction models whose individual variables were available in the IPD. The risk of bias of the models and cohorts was assessed using the Prediction study Risk Of Bias ASsessment Tool (PROBAST). The discriminative performance of the models was evaluated using the C-statistic, and calibration was assessed using calibration plots, calibration slope and calibration-in-the-large. Performance measures were estimated separately in each cohort, as well as summarized across cohorts using random-effects meta-analysis. Clinical utility was assessed using net benefit. Results Seventeen studies reporting the development of 40 prognostic models for stillbirth were identified. None of the models had been previously validated externally, and the full model equation was reported for only one-fifth (20%, 8/40) of the models. External validation was possible for three of these models, using IPD from 19 cohorts (491 201 pregnant women) within the IPPIC Network database. Based on evaluation of the model development studies, all three models had an overall high risk of bias, according to PROBAST. In the IPD meta-analysis, the models had summary C-statistics ranging from 0.53 to 0.65 and summary calibration slopes ranging from 0.40 to 0.88, with risk predictions that were generally too extreme compared with the observed risks. The models had little to no clinical utility, as assessed by net benefit. However, there remained uncertainty in the performance of some models due to small available sample sizes. Conclusions The three validated stillbirth prediction models showed generally poor and uncertain predictive performance in new data, with limited evidence to support their clinical application. The findings suggest methodological shortcomings in their development, including overfitting. Further research is needed to further validate these and other models, identify stronger prognostic factors and develop more robust prediction models. (c) 2021 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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- 2022
6. Optimal first trimester preeclampsia prediction: a comparison of multimarker algorithm, risk profiles and their sequential application
- Author
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Gabbay-Benziv, R., Oliveira, N., and Baschat, A. A.
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- 2016
- Full Text
- View/download PDF
7. External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications ( <scp>IPPIC</scp> ) Network database: individual participant data meta‐analysis
- Author
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Allotey, J, Whittle, R, Snell, KIE, Smuk, M, Townsend, R, Dadelszen, P, Heazell, AEP, Magee, L, Smith, GCS, Sandall, J, Thilaganathan, B, Zamora, J, Riley, RD, Khalil, A, Thangaratinam, S, Coomarasamy, A, Kwong, A, Savitri, AI, Salvesen, KÅ, Bhattacharya, S, Uiterwaal, CSPM, Staff, AC, Andersen, LB, Olive, EL, Redman, C, Sletner, L, Daskalakis, G, Macleod, M, Abdollahain, M, Ramírez, JA, Massé, J, Audibert, F, Magnus, PM, Jenum, AK, Baschat, A, Ohkuchi, A, McAuliffe, FM, West, J, Askie, LM, Mone, F, Farrar, D, Zimmerman, PA, Smits, LJM, Riddell, C, Kingdom, JC, Post, J, Illanes, SE, Holzman, C, Kuijk, SMJ, Carbillon, L, Villa, PM, Eskild, A, Chappell, L, Prefumo, F, Velauthar, L, Seed, P, Oostwaard, M, Verlohren, S, Poston, L, Ferrazzi, E, Vinter, CA, Nagata, C, Brown, M, Vollebregt, KC, Takeda, S, Langenveld, J, Widmer, M, Saito, S, Haavaldsen, C, Carroli, G, Olsen, J, Wolf, H, Zavaleta, N, Eisensee, I, Vergani, P, Lumbiganon, P, Makrides, M, Facchinetti, F, Sequeira, E, Gibson, R, Ferrazzani, S, Frusca, T, Norman, JE, Figueiró‐Filho, EA, Lapaire, O, Laivuori, H, Lykke, JA, Conde‐Agudelo, A, Galindo, A, Mbah, A, Betran, AP, Herraiz, I, Trogstad, L, Smith, GGS, Steegers, EAP, Salim, R, Huang, T, Adank, A, Zhang, J, Meschino, WS, Browne, JL, Allen, RE, Costa, F Da Silva, Klipstein‐Grobusch, K, Crowther, CA, Jørgensen, JS, Forest, J‐C, Rumbold, AR, Mol, BW, Giguère, Y, Kenny, LC, Ganzevoort, W, Odibo, AO, Myers, J, Yeo, SA, Goffinet, F, McCowan, L, Pajkrt, E, Teede, HJ, Haddad, BG, Dekker, G, Kleinrouweler, EC, LeCarpentier, É, Roberts, CT, Groen, H, Skråstad, RB, Heinonen, S, Eero, K, Anggraini, D, Souka, A, Cecatti, JG, Monterio, I, Pillalis, A, Souza, R, Hawkins, LA, Gabbay‐Benziv, R, Crovetto, F, Figuera, F, Jorgensen, L, Dodds, J, Patel, M, Aviram, A, Papageorghiou, A, and Khan, K
- Abstract
Objective: Stillbirth is a potentially preventable complication of pregnancy. Identifying women at risk can guide decisions on closer surveillance or timing of birth to prevent fetal death.Prognostic models have been developed to predict the risk of stillbirth, but none have yet been externally validated. We externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. Methods: We searched Medline, EMBASE, DH-DATA and AMED databases from inception to December 2020 to identify stillbirth prediction models. We included studies that developed or updated prediction models for stillbirth for use at any time during pregnancy. IPD from cohorts within the International Prediction of Pregnancy Complication (IPPIC) Network were used to externally validate the identified prediction models whose individual variables were available in the IPD. We assessed the risk of bias of the models and IPD using PROBAST, and reported discriminative performance using the C-statistic, and calibration performance using calibration plots, calibration slopeand calibration-in-the-large. We estimated performance measures separately in each study, and then summarised across studies using random-effects meta-analysis. Clinical utility was assessed using net benefit. Results: We identified 17 studies reporting the development of 40 prognostic models for stillbirth. None of the models were previously externally validated, and only a fifth (20%, 8/40) reported the full model equation. We were able to validate three of these models using the IPD from 19 cohort studies (491,201 pregnant women) within the IPPIC Network database. Based on evaluating their development studies, all three models had an overall high risk of bias according to PROBAST. In our IPD meta-analysis, the models had summary C-statistics ranging from 0.53 to 0.65; summary calibration slopes of 0.40to 0.88, and generally with observed risks predictions that were too extreme compared to observed risks; and little to no clinical utility as assessed by net benefit. However, there remained uncertainty in performance for some models due to small available sample sizes. Conclusion: The three validated models generally showed poor and uncertain predictive performancein new data, with limited evidence to support their clinical application. Findings suggest methodological shortcomings in their development including overfitting of models. Further research is needed to further validate these and other models, identify stronger prognostic factors, and to develop more robust prediction models
- Published
- 2021
8. Predictive value of cervical length in women with twin pregnancy presenting with threatened preterm labor
- Author
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Melamed, N., Hiersch, L., Gabbay-Benziv, R., Bardin, R., Meizner, I., Wiznitzer, A., and Yogev, Y.
- Published
- 2015
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9. Perioperative noninvasive cardiac output monitoring in parturients with singleton and twin pregnancies undergoing cesarean section under spinal anesthesia with prophylactic phenylephrine drip: a prospective observational cohort study.
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Orbach-Zinger, S., Razinsky, E., Bizman, I., Firman, S., Gat, R., Davis, A., Ashwal, E., Shmueli, A., Vaturi, M., Gabbay-Benziv, R., and Eidelman, L. A.
- Subjects
SPINAL anesthesia ,CESAREAN section ,CARDIAC output ,PREGNANCY ,CERVICAL cerclage ,COHORT analysis ,STROKE volume (Cardiac output) - Abstract
The articles discusses the blood pressure, cardiac output and hemodynamics of pregnant women who have cesarean section deliveries (CDs), offering a comparison of women with both twin and single pregnancies. The administration of prophylactic phenylephrine infusion (PPI) and spinal anesthesia to parturients, or pregnant women, is discussed.
- Published
- 2019
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10. OP07.07: The accuracy of sonographic assessment of head circumference in twin pregnancies: difference between twins A and B
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Anabosi-Mura, S., primary, Gabbay-Benziv, R., additional, Kamar, D., additional, Nadir, E., additional, and Shrim, A., additional
- Published
- 2018
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11. Perioperative noninvasive cardiac output monitoring in parturients with singleton and twin pregnancies undergoing cesarean section under spinal anesthesia with prophylactic phenylephrine drip: a prospective observational cohort study
- Author
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Orbach-Zinger, S., primary, Razinsky, E., additional, Bizman, I., additional, Firman, S., additional, Gat, R., additional, Davis, A., additional, Ashwal, E., additional, Shmueli, A., additional, Vaturi, M., additional, Gabbay-Benziv, R., additional, and Eidelman, L. A., additional
- Published
- 2018
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12. Optimal First Trimester Preeclampsia Prediction: a Comparison of Multimarker Algorithm, Risk Profiles and Their Sequential Application
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Gabbay-Benziv, R, Oliveira, N, and Baschat, AA
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Adult ,Adolescent ,Middle Aged ,Risk Assessment ,Ultrasonography, Prenatal ,Decision Support Techniques ,Young Adult ,Pregnancy Trimester, First ,Logistic Models ,Pre-Eclampsia ,ROC Curve ,Pregnancy ,Risk Factors ,Humans ,Female ,Prospective Studies ,MAC OBS ,Biomarkers ,Algorithms - Abstract
OBJECTIVE: To compare performance of multimarker algorithm, risk profiles and their sequential application in prediction of preeclampsia and determining potential intervention targets. STUDY DESIGN: Maternal characteristics, ultrasound variables and serum biomarkers were collected prospectively at first trimester. Univariate analysis identified preeclampsia associated variables followed by logistic regression analysis to determine the prediction rule. Combined characteristics of the cardiovascular, metabolic and the personal risk factors were compared to the multimarker algorithm and the sequential application of both methods. RESULTS: Out of 2433 women, 108 developed preeclampsia (4.4%). Probability scores considering nulliparity, prior preeclampsia, body mass index, diastolic blood pressure and placental growth factor had an area under the receiver operating characteristic curve 0.784 (95% CI = 0.721-0.847). While the multimarker algorithm had the lowest false negative rate, sequential application of cardiovascular and metabolic risk profiles in screen positives reduced false positives by 26% and identified blood pressure and metabolic risk in 49/54 (91%) women with subsequent preeclampsia as treatable risk factors. CONCLUSION: Sequential application of a multimarker algorithm followed by determination of treatable risk factors in screen positive women is the optimal approach for first trimester preeclampsia prediction and identification of women that may benefit from targeted metabolic or cardiovascular treatment info:eu-repo/semantics/publishedVersion
- Published
- 2016
13. EP19.04: Sonographic appearance of the uterus in the early puerperium in vaginal vs Caesarean deliveries: a prospective study
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Bardin, R., primary, Zilber, H., additional, Tenenbaum-Gavish, K., additional, Hadar, E., additional, Meizner, I., additional, Gabbay-Benziv, R., additional, Ashwal, E., additional, and Hiersch, L., additional
- Published
- 2017
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14. Optimal first trimester preeclampsia prediction: a comparison of multimarker algorithm, risk profiles and their sequential application
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Gabbay-Benziv, R., primary, Oliveira, N., additional, and Baschat, A. A., additional
- Published
- 2015
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15. Erratum
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Gabbay-Benziv, R., primary
- Published
- 2013
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16. הריון מתקדם בבטן.
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Rabinerson, D., Berezowsky, A., and Gabbay-Benziv, R.
- Published
- 2017
17. Erratum.
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Gabbay-Benziv, R.
- Subjects
- *
PRENATAL diagnosis - Abstract
Two correction to the articles "Pregnancy outcome after third trimester amniocentesis: a single center experience" and "Congenital cytomegalovirus infection following antenatal negative diagnostic amniotic fluid analysis-a single center experience"by R. Gabbay-Benziv is presented.
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- 2014
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18. First-trimester fasting plasma glucose levels and progression to type 2 diabetes: A 5-year cohort study.
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Maor-Sagie E, Hallak M, Twig G, Toledano Y, and Gabbay-Benziv R
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- Humans, Female, Pregnancy, Adult, Retrospective Studies, Risk Factors, Prediabetic State blood, Prediabetic State epidemiology, Incidence, Diabetes Mellitus, Type 2 blood, Pregnancy Trimester, First blood, Blood Glucose analysis, Diabetes, Gestational blood, Diabetes, Gestational epidemiology, Disease Progression, Fasting blood
- Abstract
Objective: Impaired fasting glucose is a prediabetic condition defined as glucose levels of 100-125 mg/dL and is considered a risk factor for type 2 diabetes. However, this definition does not confer to pregnancy. The significance of first-trimester fasting glucose and future progression to diabetes is not well defined. Therefore, we aimed to evaluate the progression to type 2 diabetes according to first- trimester fasting plasma glucose levels, as compared with gestational diabetes, a well-established risk factor for diabetes, in up to 5-year follow-up postpartum., Methods: A retrospective analysis of 69 001 parturients, evaluating fasting plasma glucose levels measured during the first trimester. The primary outcome was the incidence of type 2 diabetes within 5 years post-delivery. Fasting plasma glucose levels were categorized in 10 mg/dL increments. Receiver operating characteristic-area under the curve (ROC-AUC) statistics and the Youden index were employed to identify the optimal fasting plasma glucose cutoff for progression to type 2 diabetes. Survival analysis was applied to calculate the adjusted hazard ratios (aHRs) for type 2 diabetes progression with further stratification to maternal obesity status., Results: The identified fasting plasma glucose cutoff for progression to type 2 diabetes was 86.5 mg/dL. This cut-off demonstrated superior performance compared with gestational diabetes diagnosis. Stratification by maternal obesity revealed enhanced predictive capabilities for type 2 diabetes, particularly among patients without obesity., Conclusions: Increased first-trimester fasting plasma glucose levels are associated with progression to type 2 diabetes, at least as gestational diabetes. For patients without obesity, first-trimester fasting plasma glucose has a more pronounced impact on progression to diabetes., (© 2024 International Federation of Gynecology and Obstetrics.)
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- 2024
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19. Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis.
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Allotey J, Archer L, Snell KIE, Coomar D, Massé J, Sletner L, Wolf H, Daskalakis G, Saito S, Ganzevoort W, Ohkuchi A, Mistry H, Farrar D, Mone F, Zhang J, Seed PT, Teede H, Da Silva Costa F, Souka AP, Smuk M, Ferrazzani S, Salvi S, Prefumo F, Gabbay-Benziv R, Nagata C, Takeda S, Sequeira E, Lapaire O, Cecatti JG, Morris RK, Baschat AA, Salvesen K, Smits L, Anggraini D, Rumbold A, van Gelder M, Coomarasamy A, Kingdom J, Heinonen S, Khalil A, Goffinet F, Haqnawaz S, Zamora J, Riley RD, Thangaratinam S, Kwong A, Savitri AI, Bhattacharya S, Uiterwaal CS, Staff AC, Andersen LB, Olive EL, Redman C, Macleod M, Thilaganathan B, Ramírez JA, Audibert F, Magnus PM, Jenum AK, McAuliffe FM, West J, Askie LM, Zimmerman PA, Riddell C, van de Post J, Illanes SE, Holzman C, van Kuijk SMJ, Carbillon L, Villa PM, Eskild A, Chappell L, Velauthar L, van Oostwaard M, Verlohren S, Poston L, Ferrazzi E, Vinter CA, Brown M, Vollebregt KC, Langenveld J, Widmer M, Haavaldsen C, Carroli G, Olsen J, Zavaleta N, Eisensee I, Vergani P, Lumbiganon P, Makrides M, Facchinetti F, Temmerman M, Gibson R, Frusca T, Norman JE, Figueiró-Filho EA, Laivuori H, Lykke JA, Conde-Agudelo A, Galindo A, Mbah A, Betran AP, Herraiz I, Trogstad L, Smith GGS, Steegers EAP, Salim R, Huang T, Adank A, Meschino WS, Browne JL, Allen RE, Klipstein-Grobusch K, Crowther CA, Jørgensen JS, Forest JC, Mol BW, Giguère Y, Kenny LC, Odibo AO, Myers J, Yeo S, McCowan L, Pajkrt E, Haddad BG, Dekker G, Kleinrouweler EC, LeCarpentier É, Roberts CT, Groen H, Skråstad RB, Eero K, Pilalis A, Souza RT, Hawkins LA, Figueras F, and Crovetto F
- Abstract
Objective: To predict birth weight at various potential gestational ages of delivery based on data routinely available at the first antenatal visit., Design: Individual participant data meta-analysis., Data Sources: Individual participant data of four cohorts (237 228 pregnancies) from the International Prediction of Pregnancy Complications (IPPIC) network dataset., Eligibility Criteria for Selecting Studies: Studies in the IPPIC network were identified by searching major databases for studies reporting risk factors for adverse pregnancy outcomes, such as pre-eclampsia, fetal growth restriction, and stillbirth, from database inception to August 2019. Data of four IPPIC cohorts (237 228 pregnancies) from the US (National Institute of Child Health and Human Development, 2018; 233 483 pregnancies), UK (Allen et al, 2017; 1045 pregnancies), Norway (STORK Groruddalen research programme, 2010; 823 pregnancies), and Australia (Rumbold et al, 2006; 1877 pregnancies) were included in the development of the model., Results: The IPPIC birth weight model was developed with random intercept regression models with backward elimination for variable selection. Internal-external cross validation was performed to assess the study specific and pooled performance of the model, reported as calibration slope, calibration-in-the-large, and observed versus expected average birth weight ratio. Meta-analysis showed that the apparent performance of the model had good calibration (calibration slope 0.99, 95% confidence interval (CI) 0.88 to 1.10; calibration-in-the-large 44.5 g, -18.4 to 107.3) with an observed versus expected average birth weight ratio of 1.02 (95% CI 0.97 to 1.07). The proportion of variation in birth weight explained by the model (R
2 ) was 46.9% (range 32.7-56.1% in each cohort). On internal-external cross validation, the model showed good calibration and predictive performance when validated in three cohorts with a calibration slope of 0.90 (Allen cohort), 1.04 (STORK Groruddalen cohort), and 1.07 (Rumbold cohort), calibration-in-the-large of -22.3 g (Allen cohort), -33.42 (Rumbold cohort), and 86.4 g (STORK Groruddalen cohort), and observed versus expected ratio of 0.99 (Rumbold cohort), 1.00 (Allen cohort), and 1.03 (STORK Groruddalen cohort); respective pooled estimates were 1.00 (95% CI 0.78 to 1.23; calibration slope), 9.7 g (-154.3 to 173.8; calibration-in-the-large), and 1.00 (0.94 to 1.07; observed v expected ratio). The model predictions were more accurate (smaller mean square error) in the lower end of predicted birth weight, which is important in informing clinical decision making., Conclusions: The IPPIC birth weight model allowed birth weight predictions for a range of possible gestational ages. The model explained about 50% of individual variation in birth weights, was well calibrated (especially in babies at high risk of fetal growth restriction and its complications), and showed promising performance in four different populations included in the individual participant data meta-analysis. Further research to examine the generalisability of performance in other countries, settings, and subgroups is required., Trial Registration: PROSPERO CRD42019135045., Competing Interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the National Institute for Health and Care Research Health Technology Assessment UK programme for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work., (Copyright © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)- Published
- 2024
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20. Development and validation of prediction models for fetal growth restriction and birthweight: an individual participant data meta-analysis.
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Allotey J, Archer L, Coomar D, Snell KI, Smuk M, Oakey L, Haqnawaz S, Betrán AP, Chappell LC, Ganzevoort W, Gordijn S, Khalil A, Mol BW, Morris RK, Myers J, Papageorghiou AT, Thilaganathan B, Da Silva Costa F, Facchinetti F, Coomarasamy A, Ohkuchi A, Eskild A, Arenas Ramírez J, Galindo A, Herraiz I, Prefumo F, Saito S, Sletner L, Cecatti JG, Gabbay-Benziv R, Goffinet F, Baschat AA, Souza RT, Mone F, Farrar D, Heinonen S, Salvesen KÅ, Smits LJ, Bhattacharya S, Nagata C, Takeda S, van Gelder MM, Anggraini D, Yeo S, West J, Zamora J, Mistry H, Riley RD, and Thangaratinam S
- Subjects
- Humans, Female, Pregnancy, Infant, Newborn, Stillbirth, Gestational Age, Adult, Pregnancy Complications, Fetal Growth Retardation, Birth Weight
- Abstract
Background: Fetal growth restriction is associated with perinatal morbidity and mortality. Early identification of women having at-risk fetuses can reduce perinatal adverse outcomes., Objectives: To assess the predictive performance of existing models predicting fetal growth restriction and birthweight, and if needed, to develop and validate new multivariable models using individual participant data., Design: Individual participant data meta-analyses of cohorts in International Prediction of Pregnancy Complications network, decision curve analysis and health economics analysis., Participants: Pregnant women at booking. External validation of existing models (9 cohorts, 441,415 pregnancies); International Prediction of Pregnancy Complications model development and validation (4 cohorts, 237,228 pregnancies)., Predictors: Maternal clinical characteristics, biochemical and ultrasound markers., Primary Outcomes: fetal growth restriction defined as birthweight <10th centile adjusted for gestational age and with stillbirth, neonatal death or delivery before 32 weeks' gestation birthweight., Analysis: First, we externally validated existing models using individual participant data meta-analysis. If needed, we developed and validated new International Prediction of Pregnancy Complications models using random-intercept regression models with backward elimination for variable selection and undertook internal-external cross-validation. We estimated the study-specific performance ( c -statistic, calibration slope, calibration-in-the-large) for each model and pooled using random-effects meta-analysis. Heterogeneity was quantified using τ
2 and 95% prediction intervals. We assessed the clinical utility of the fetal growth restriction model using decision curve analysis, and health economics analysis based on National Institute for Health and Care Excellence 2008 model., Results: Of the 119 published models, one birthweight model (Poon) could be validated. None reported fetal growth restriction using our definition. Across all cohorts, the Poon model had good summary calibration slope of 0.93 (95% confidence interval 0.90 to 0.96) with slight overfitting, and underpredicted birthweight by 90.4 g on average (95% confidence interval 37.9 g to 142.9 g). The newly developed International Prediction of Pregnancy Complications-fetal growth restriction model included maternal age, height, parity, smoking status, ethnicity, and any history of hypertension, pre-eclampsia, previous stillbirth or small for gestational age baby and gestational age at delivery. This allowed predictions conditional on a range of assumed gestational ages at delivery. The pooled apparent c -statistic and calibration were 0.96 (95% confidence interval 0.51 to 1.0), and 0.95 (95% confidence interval 0.67 to 1.23), respectively. The model showed positive net benefit for predicted probability thresholds between 1% and 90%. In addition to the predictors in the International Prediction of Pregnancy Complications-fetal growth restriction model, the International Prediction of Pregnancy Complications-birthweight model included maternal weight, history of diabetes and mode of conception. Average calibration slope across cohorts in the internal-external cross-validation was 1.00 (95% confidence interval 0.78 to 1.23) with no evidence of overfitting. Birthweight was underestimated by 9.7 g on average (95% confidence interval -154.3 g to 173.8 g)., Limitations: We could not externally validate most of the published models due to variations in the definitions of outcomes. Internal-external cross-validation of our International Prediction of Pregnancy Complications-fetal growth restriction model was limited by the paucity of events in the included cohorts. The economic evaluation using the published National Institute for Health and Care Excellence 2008 model may not reflect current practice, and full economic evaluation was not possible due to paucity of data., Future Work: International Prediction of Pregnancy Complications models' performance needs to be assessed in routine practice, and their impact on decision-making and clinical outcomes needs evaluation., Conclusion: The International Prediction of Pregnancy Complications-fetal growth restriction and International Prediction of Pregnancy Complications-birthweight models accurately predict fetal growth restriction and birthweight for various assumed gestational ages at delivery. These can be used to stratify the risk status at booking, plan monitoring and management., Study Registration: This study is registered as PROSPERO CRD42019135045., Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/148/07) and is published in full in Health Technology Assessment ; Vol. 28, No. 14. See the NIHR Funding and Awards website for further award information.- Published
- 2024
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21. Timing of gestational diabetes diagnosis and progression to type 2 Diabetes: A comparative analysis.
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Maor-Sagie E, Hallak M, Haggiag N, Naeh A, Toledano Y, and Gabbay-Benziv R
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- Humans, Female, Pregnancy, Adult, Retrospective Studies, Israel epidemiology, Time Factors, Risk Factors, Blood Glucose analysis, Obesity epidemiology, Obesity diagnosis, Obesity complications, Diabetes, Gestational diagnosis, Diabetes, Gestational epidemiology, Diabetes, Gestational blood, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 epidemiology, Disease Progression
- Abstract
Aim: To evaluate and compare the risk of progressing to type 2 diabetes (T2DM) based on the timing of gestational diabetes (GDM) diagnosis during pregnancy., Methods: Retrospective analysis of pregnant individuals with gestational diabetes and post-pregnancy follow up. Data sourced from Meuhedet HMO's computerized laboratory system, cross-tabulated with the Israeli National Diabetes Registry. The cohort was divided into normoglycemic, early GDM (diagnosed by fasting plasma glucose 92-125 mg/dL (5.1-6.9 mM) at < 15 weeks), 2nd trimester GDM (diagnosed at 24-28 weeks), and late GDM (diagnosed after 29 weeks). Statistics included univariate analysis followed by survival analysis. Risk was further analyzed for individuals by obesity status., Results: 75,459 entered the analysis: 90 % normoglycemic, 7.9 % early GDM, 1.4 % 2nd trimester GDM, and 0.7 % late GDM. Median post-pregnancy follow-up time was 4.3 (IQR 3.3-5.1). 2nd trimester GDM showed the highest T2DM risk annually after pregnancy. Cox regression analysis, adjusted for confounders, revealed a significantly higher T2DM risk for 2nd-trimester GDM compared to early and late GDM. Late GDM did not confer additional significant T2DM risk. Stratification by obesity status highlighted that early GDM increased the risk of T2DM only in individuals without obesity., Conclusions: GDM diagnosis timing significantly impacts T2DM risk. 2nd trimester GDM carries the highest T2DM risk., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
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22. Greater risk of type 2 diabetes progression in multifetal gestations with gestational diabetes: the impact of obesity.
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Naeh A, Maor-Sagie E, Hallak M, Toledano Y, and Gabbay-Benziv R
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- Humans, Female, Pregnancy, Adult, Retrospective Studies, Risk Factors, Body Mass Index, Proportional Hazards Models, Israel epidemiology, Diabetes, Gestational epidemiology, Diabetes Mellitus, Type 2 epidemiology, Disease Progression, Obesity complications, Obesity epidemiology, Pregnancy, Multiple statistics & numerical data
- Abstract
Background: The relationship between gestational diabetes mellitus and adverse outcomes in multifetal pregnancies is complex and controversial. Moreover, limited research has focused on the risk of gestational diabetes mellitus progression to type 2 diabetes mellitus specifically in multifetal pregnancies, resulting in conflicting results from existing studies., Objective: This study aimed to assess the risk of gestational diabetes mellitus progression to type 2 diabetes mellitus between singleton and multifetal pregnancies in a large cohort of parturients with a 5-year follow-up., Study Design: A retrospective study was conducted on a prospective cohort of pregnant individuals with pregnancies between January 1, 2017, and December 31, 2020, followed up to 5 years after delivery. Glucose levels during pregnancy were obtained from the Meuhedet Health Maintenance Organization laboratory system and cross-linked with the Israeli National Diabetes Registry. The cohort was divided into 4 groups: singleton pregnancy without gestational diabetes mellitus, singleton pregnancy with gestational diabetes mellitus, multifetal pregnancy without gestational diabetes mellitus, and multifetal pregnancy with gestational diabetes mellitus. Gestational diabetes mellitus was defined according to the American Diabetes Association criteria using the 2-step strategy. Univariate analyses, followed by survival analysis that included Kaplan-Meier hazard curves and Cox proportional-hazards models, were used to assess differences between groups and calculate the adjusted hazard ratios with 95% confidence intervals for progression to type 2 diabetes mellitus., Results: Among 88,611 parturients, 61,891 cases met the inclusion criteria. The prevalence of type 2 diabetes mellitus was 6.5% in the singleton pregnancy with gestational diabetes mellitus group and 9.4% in the multifetal pregnancy with gestational diabetes mellitus group. Parturients with gestational diabetes mellitus, regardless of plurality, were older and had higher fasting plasma glucose levels in the first trimester of pregnancy. The rates of increased body mass index, hypertension, and earlier gestational age at delivery were significantly higher in the gestational diabetes mellitus group among patients with singleton pregnancies but not among patients with multifetal pregnancies. Survival analysis demonstrated that gestational diabetes mellitus was associated with adjusted hazard ratios of type 2 diabetes mellitus of 4.62 (95% confidence interval, 3.69-5.78) in singleton pregnancies and 9.26 (95% confidence interval, 2.67-32.01) in multifetal pregnancies (P<.001 for both). Stratified analysis based on obesity status revealed that, in parturients without obesity, gestational diabetes mellitus in singleton pregnancies increased the risk of type 2 diabetes mellitus by 10.24 (95% confidence interval, 6.79-15.44; P<.001) compared with a nonsignificant risk in multifetal pregnancies (adjusted hazard ratio, 9.15; 95% confidence interval, 0.92-90.22; P=.059). Among parturients with obesity, gestational diabetes mellitus was associated with an increased risk of type 2 diabetes mellitus for both singleton and multifetal pregnancies (adjusted hazard ratio, 3.66; [95% confidence interval, 2.81-4.67; P<.001] and 9.31 [95% confidence interval, 2.12-40.76; P=.003], respectively)., Conclusion: Compared with gestational diabetes mellitus in singleton pregnancies, gestational diabetes mellitus in multifetal pregnancies doubles the risk of progression to type 2 diabetes mellitus. This effect is primarily observed in patients with obesity. Our findings underscore the importance of providing special attention and postpartum follow-up for patients with multifetal pregnancies and gestational diabetes mellitus, especially those with obesity, to enable early diagnosis and intervention for type 2 diabetes mellitus., (Copyright © 2023 Elsevier Inc. All rights reserved.)
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- 2024
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23. Hypoglycemia in Oral Glucose Tolerance Test during Pregnancy and Risk for Type 2 Diabetes-A Five-Year Cohort Study.
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Haggiag N, Rotman M, Hallak M, Toledano Y, Gabbay-Benziv R, and Maor-Sagie E
- Abstract
Objective : To evaluate the risk of progression to type 2 diabetes (T2D) following reactive hypoglycemia in 100 g oral glucose tolerance test (oGTT) . Methods : A retrospective analysis of parturients with up to 5-year follow-up postpartum. Data were extracted from the computerized laboratory system of Meuhedet, an Israeli HMO and cross-linked with the Israeli National Registry of Diabetes. Included were parturients with no prior diabetesand available oGTT values during pregnancy. Reactive hypoglycemia was defined as glucose levels lower than 60 mg/dL in at least one of 3 post-glucose load values in oGTT. The cohort was divided into 3 groups: normal glucose status, reactive hypoglycemia, and GDM. Maternal characteristics, laboratory data, and progression to T2D over 5 years were compared. Univariate and survival analyses assessed the adjusted hazard ratio for T2D, stratified by obesity Results: Among 14,122 parturients, 16.8% had reactive hypoglycemia, 71% had normal glucose status, and 12.2% had GDM. Adjusted for age, obesity, and hypertension, Parturients with reactive hypoglycemia had similar T2D risk compared to normal glucose status and a lower risk compared to GDM patients, regardless of obesity status. Conclusions: Reactive hypoglycemia during oGTT does not increase the risk of progressing to T2D.
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- 2024
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24. Pregnancy Outcomes in Women with Poorly Controlled Pregestational Diabetes Mellitus.
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Gelman M, Galperin T, Maor-Sagie E, Yoeli Y, Hallak M, Gabbay-Benziv R, and Naeh A
- Subjects
- Humans, Pregnancy, Female, Adult, Retrospective Studies, Diabetes Mellitus, Type 1 blood, Diabetes Mellitus, Type 1 complications, Diabetes Mellitus, Type 1 epidemiology, Premature Birth epidemiology, Premature Birth etiology, Infant, Newborn, Blood Glucose analysis, Blood Glucose metabolism, Cesarean Section statistics & numerical data, Glycated Hemoglobin analysis, Pregnancy Outcome epidemiology, Pregnancy in Diabetics epidemiology, Pregnancy in Diabetics blood
- Abstract
Background: The prevalence of pregestational diabetes mellitus (PGDM) in women of reproductive age has surged globally, contributing to increased rates of adverse pregnancy outcomes. Hemoglobin A1c (HbA1c) is a crucial marker for diagnosing and monitoring PGDM, with periconceptional levels influencing the risk of congenital anomalies and complications., Objectives: To evaluate the association between periconceptional HbA1c levels and perinatal complications in pregnant women with poorly controlled PGDM., Methods: We conducted a retrospective analysis of prospectively collected data of pregnancies between 2010 and 2019, HbA1c > 6% at 3 months prior to conception or during the first trimester. Outcomes of periconceptional HbA1c levels were compared., Results: The cohort included 89 women: 49 with HbA1c 6-8%, 29 with HbA1c 8-10%, and 11 with HbA1c > 10%. Higher HbA1c levels were more prevalent in type 1 diabetics and were associated with increased end-organ damage risk. Women with elevated HbA1c levels tended toward unbalanced glucose levels during pregnancy. The cohort exhibited high rates of preterm delivery, hypertensive disorders, cesarean delivery, and neonatal intensive care unit admission. Overall live birth rate was 83%. While a significant correlation was found between HbA1c levels and preterm delivery, no consistent association was observed with other adverse outcomes., Conclusions: Periconceptional glycemic control in PGDM pregnancies is important. Elevated HbA1c levels are associated with increased risks of adverse outcomes. Beyond a certain HbA1c level, risks of complications may not proportionally escalate.
- Published
- 2024
25. One abnormal value in oral glucose tolerance test during pregnancy and type 2 diabetes risk: Insights from a 5-Year Follow-Up study.
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Hussein-Aro R, Maor-Sagie E, Toledano Y, Hallak M, and Gabbay-Benziv R
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- Humans, Female, Pregnancy, Adult, Follow-Up Studies, Retrospective Studies, Risk Factors, Obesity complications, Obesity epidemiology, Obesity blood, Israel epidemiology, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 diagnosis, Glucose Tolerance Test, Diabetes, Gestational epidemiology, Diabetes, Gestational blood, Diabetes, Gestational diagnosis, Blood Glucose analysis, Blood Glucose metabolism
- Abstract
Objectives: To evaluate the risk of type 2 diabetes(T2D) following one abnormal value(OAbV) in an oral glucose tolerance test(oGTT) performed during pregnancy., Study Design: A retrospective analysis of parturients between 01.01.2017 and 31.12.2020 with 5 years of follow-up after delivery. Glucose levels during pregnancy were extracted from the computerized laboratory system of Meuhedet HMO and cross-tabulated with the Israeli National Registry of Diabetes. Women with multiple gestations or pregestational diabetes were excluded. Maternal characteristics and risk of T2D were stratified and compared between 3 groups: normal glucose status, OAbV in oGTT, and gestational diabetes. Statistical analysis included univariate analysis followed by survival analysis. Further analysis was stratified to women with and without obesity., Results: 58,693 women entered the analysis. Following an adjustment to maternal age, obesity, hypertension, and hyperlipidemia, OAbV in oGTT was associated with a 1.8-fold increased risk of T2D in a 5-year follow-up compared to normal glucose status. When stratified by obesity, OAbV was associated with a 3.7-fold increase in T2D in women without obesity, however, was no longer a statistically significant predictor of T2D among women with obesity., Conclusions: Women with OAbV oGTT during pregnancy are at increased risk for developing T2D over 5 years of follow-up., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
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- 2024
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26. Unfolding of maternal-infant bonding amidst the COVID-19 pandemic: Social support as a risk and protective factor.
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Shiffman N, Gluska H, Margalit S, Mayer Y, Daher R, Elyasyan L, Elia N, Sharon Weiner M, Miremberg H, Kovo M, Biron-Shental T, Gabbay-Benziv R, and Helpman L
- Abstract
Background: Social, familial, and physiological stressors may put maternal-infant bonding at risk. Therefore, it is plausible that the stressful conditions brought on by COVID-19 could influence maternal-infant bonding. This study aimed to elucidate the contribution of COVID-19-related experience to variance in maternal-infant bonding, beyond that of established risk factors and as moderated by social support., Methods: This longitudinal, multicenter study examined the relationship of demographic and obstetric variables, social support, postpartum depression, as well as COVID-19-related fear, exposure, and subjective difficulty with mother-infant bonding six months following birth. Participants ( N = 246) were women who delivered during the pandemics' strict lockdown period and were recruited 10 weeks after a liveborn delivery and followed up six months later., Results: Relationship between fear of COVID-19 and maternal-infant bonding was moderated by social support: Amongst mothers with high levels of social support, fear of COVID-19 negatively predicted bonding., Discussion: Results indicate that social support, while overall a protective factor for mother-infant bonding, may lose its buffering effect when fear of COVID-19 is high. This relationship was maintained even when early bonding experiences such as forced separation and the risk incurred by postpartum depression were accounted for. Implications for providers are discussed.
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- 2024
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27. Same disease - different effect: maternal diabetes impact on birth weight stratified by fetal sex.
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Gilron S, Gabbay-Benziv R, and Khoury R
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- Pregnancy, Infant, Newborn, Male, Female, Humans, Birth Weight, Fetal Macrosomia epidemiology, Fetal Macrosomia etiology, Retrospective Studies, Risk Factors, Weight Gain, Diabetes, Gestational epidemiology
- Abstract
Background: Male-sex is an independent risk factor for adverse perinatal outcomes. One example is gestational diabetes mellitus (GDM), which is associated with large gestational age neonates. It was previously described that fetal glucose metabolism is affected by fetal sex., Purpose: To examine whether the birth weight of neonates is affected differently by GDM according to fetal sex., Methods: A retrospective normalized cohort analysis, using the open database of 2017 Natality Data from the National Vital Statistics System in the US. We compared the delta in neonatal birth weight, according to fetal sex, between pregnancies with or without GDM. Linear regression was used to take into consideration the effect of multiple confounders. For evaluation whether fetal sex is an independent risk factor for macrosomia (> 4000 and > 4500 g) following pregnancies complicated by GDM we used multivariate logistic regression., Results: A significant relationship was found between the sex of the neonate and the delta in birth weight associated with GDM (P-value < 0.0001). The average weight gain in neonates to GDM pregnancies was 71 g in females, and 56 g in males. The prevalence of macrosomia above 4000 g and 4500 g that was attributed to GDM was higher in female-sex neonates compared to male-sex neonates (P < 0.05)., Conclusion: According to our study results, female sex is associated with higher fetal weight gain in pregnancies complicated by GDM. Moreover, macrosomia's rate (> 4000 g and > 4500 g) attributed to GDM raised in a more significant manner in female-sex neonates., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2024
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28. When all computers shut down: the clinical impact of a major cyber-attack on a general hospital.
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Abbou B, Kessel B, Ben Natan M, Gabbay-Benziv R, Dahan Shriki D, Ophir A, Goldschmid N, Klein A, Roguin A, and Dudkiewicz M
- Abstract
Importance: Healthcare organizations operate in a data-rich environment and depend on digital computerized systems; thus, they may be exposed to cyber threats. Indeed, one of the most vulnerable sectors to hacks and malware is healthcare. However, the impact of cyberattacks on healthcare organizations remains under-investigated., Objective: This study aims to describe a major attack on an entire medical center that resulted in a complete shutdown of all computer systems and to identify the critical actions required to resume regular operations., Setting: This study was conducted on a public, general, and acute care referral university teaching hospital., Methods: We report the different recovery measures on various hospital clinical activities and their impact on clinical work., Results: The system malfunction of hospital computers did not reduce the number of heart catheterizations, births, or outpatient clinic visits. However, a sharp drop in surgical activities, emergency room visits, and total hospital occupancy was observed immediately and during the first postattack week. A gradual increase in all clinical activities was detected starting in the second week after the attack, with a significant increase of 30% associated with the restoration of the electronic medical records (EMR) and laboratory module and a 50% increase associated with the return of the imaging module archiving. One limitation of the present study is that, due to its retrospective design, there were no data regarding the number of elective internal care hospitalizations that were considered crucial., Conclusions and Relevance: The risk of ransomware cyberattacks is growing. Healthcare systems at all levels of the hospital should be aware of this threat and implement protocols should this catastrophic event occur. Careful evaluation of steady computer system recovery weekly enables vital hospital function, even under a major cyberattack. The restoration of EMR, laboratory systems, and imaging archiving modules was found to be the most significant factor that allowed the return to normal clinical hospital work., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2024 Abbou, Kessel, Ben Natan, Gabbay Benziv, Dahan Shriki, Ophir, Goldschmid, Klein, Roguin and Dudkiewicz.)
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- 2024
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29. Unintended uterine extension at the time of cesarean delivery - risk factors and associated adverse maternal and neonatal outcomes.
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Wilkof-Segev R, Naeh A, Barda S, Hallak M, and Gabbay-Benziv R
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- Pregnancy, Infant, Newborn, Female, Humans, Retrospective Studies, Trial of Labor, Risk Factors, Cesarean Section, Postpartum Hemorrhage etiology
- Abstract
Objective: To identify risk factors, maternal and neonatal adverse outcomes related to unintended lower segment uterine extension during cesarean delivery (CD)., Methods: A retrospective cohort analysis in a single, university-affiliated medical center between 1 January 2018 and 31 December 2019. All singleton pregnancies delivered by CD were included. Univariate and multivariate analyses were performed to identify maternal and obstetrical predictors for uterine extension during CD. For secondary outcomes, we assessed the correlation between uterine extension and any adverse maternal or neonatal outcome. Risk factors were analyzed using ROC statistics to measure their prediction performance for a uterine extension., Results: Overall, 1746 (19.3%) CDs were performed during the study period. Of them, 121 (6.9%) CDs were complicated by unintended uterine extension. There was no difference in maternal demographics and clinical data stratified by uterine extension at CD. Uterine extensions were significantly more common following induction of labor, intrapartum fever, premature rupture of membranes, a trial of labor after cesarean, advanced gestational age, emergent CD, and in particular CD during the second stage of labor (37.2% vs. 6.5%) and after failed vacuum extraction (6.6% vs. 1.1%), p < .05 for all. The incidence of postpartum hemorrhage and re-laparotomy did not differ between the groups. Most of the extensions were caudal-directed (40.4%), and were closed by a two-layer closure (92%). Mean extension size was 4.5 ± 1.7 cm. Using multivariable analysis, the only factor that remained significant was CD at the second stage of labor (adjusted odds ratio (aOR) 54.2, 95% CI 4.5-648.9, p = .002), with an area under the ROC curve 0.653 (95% CI 0.595-0.712, p < .001). Emergent CD, body mass index, birth weight, failed vacuum attempt, and trial of labor after cesarean were not significant. For secondary outcomes, an unintended uterine extension was associated with longer operation time, higher estimated blood loss, greater pre- to post-CD hemoglobin difference, increased blood products transfusion, puerperal fever, and longer hospital stay. No clinically significant neonatal adverse outcomes were observed., Conclusions: In our cohort, second-stage CD was the strongest predictor for an unintended uterine extension. Following uterine extension, women had increased infectious and blood-loss morbidity.
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- 2023
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30. Factors Associated with Progression to Preeclampsia with Severe Features in Pregnancies Complicated by Mild Hypertensive Disorders.
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Barda S, Yoeli Y, Stav N, Naeh A, Maor-Sagie E, Hallak M, and Gabbay-Benziv R
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In this retrospective cohort study, we aimed to investigate the variables associated with progression to preeclampsia with severe features in parturients already diagnosed with mild hypertensive disorders of pregnancy. The study was conducted in a single university-affiliated medical center between 2018 and 2020. All women admitted due to hypertensive disorders were included. Data collected was compared between parturients who progressed and did not progress to preeclampsia with severe features. Among 359 women presenting without severe features, 18 (5%) developed severe features, delivered smaller babies at lower gestational age, and with higher rates of cesarean delivery ( p < 0.001 for all). Chronic hypertension, maternal diabetes, any previous gestational hypertensive disorder, gestational diabetes, number of hospitalizations, earlier gestational age at initial presentation, and superimposed preeclampsia as the preliminary diagnosis were all associated with preeclampsia progression to severe features. Previous delivery within 2-5 years was a protective variable from preeclampsia progression. Following regression analysis and adjustment to confounders, only gestational age at initial presentation and superimposed preeclampsia remained significant variables associated with progression to severe features (aOR 0.74 (0.55-0.96) and 34.44 (1.07-1111.85), aOR (95% CI), respectively, p < 0.05 for both) with combined ROC-AUC prediction performance of 0.89, 95% CI 0.83-0.95, p < 0.001. In conclusion, according to our study results, early gestational age at presentation and superimposed preeclampsia as the preliminary diagnosis are the only independent factors that are associated with progression to severe features in women already diagnosed with mild hypertensive disorders during pregnancy.
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- 2023
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31. Oral Glucose Tolerance Test Performed after 28 Gestational Weeks and Risk for Future Diabetes-A 5-Year Cohort Study.
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Maor-Sagie E, Hallak M, Toledano Y, and Gabbay-Benziv R
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Gestational diabetes mellitus (GDM) is diagnosed by an oral glucose tolerance test (oGTT), preferably performed at 24 + 0-28 + 6 gestational weeks, and is considered a risk factor for type 2 diabetes (T2DM). In this study, we aimed to evaluate the risk of T2DM associated with abnormal oGTT performed after 28 weeks. We conducted a retrospective cohort study that included parturients with available glucose levels during pregnancy and up to 5 years of follow-up after pregnancy. Data were extracted from the computerized laboratory system of Meuhedet HMO and cross-tabulated with the Israeli National Registry of Diabetes (INRD). The women were stratified into two groups: late oGTT (performed after 28 + 6 weeks) and on-time oGTT (performed at 24 + 0-28 + 6 weeks). The incidence of T2DM was evaluated and compared using univariate analysis followed by survival analysis adjusted to confounders. Overall, 78,326 parturients entered the analysis. Of them, 6195 (7.9%) performed on-time oGTT and 5288 (6.8%) performed late oGTT. The rest-66,846 (85.3%)-had normal glucose tolerance. Women who performed late oGTT had lower rates of GDM and T2DM. However, once GDM was diagnosed, regardless of oGTT timing, the risk of T2DM was increased (2.93 (1.69-5.1) vs. 3.64 (2.44-5.44), aHR (95% CI), late vs. on-time oGTT, p < 0.001 for both). Unlike in oGTT performed on time, one single abnormal value in late oGTT was not associated with an increased risk for T2DM.
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- 2023
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32. When the lights go down in the delivery room: Lessons from a ransomware attack.
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Gabbay-Benziv R, Ben-Natan M, Roguin A, Abbou B, Ofir A, Klein A, Dahan-Shriki D, Hallak M, Kessel B, and Dudkiewicz M
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- Pregnancy, Infant, Newborn, Female, Humans, Retrospective Studies, Cesarean Section methods, Delivery, Obstetric methods, Delivery Rooms, COVID-19
- Abstract
Objective: To describe the challenges facing the obstetric division following a cyberattack and discuss ways of preparing for and overcoming another one., Methods: A retrospective descriptive study conducted in a mid-sized medical center. Division activities, including the number of deliveries, cesarean sections, emergency room visits, admissions, maternal-fetal medicine department occupancy, and ambulatory encounters, from 2 weeks before the attack to 8 weeks following it (a total of 11 weeks), were compared with the retrospective period in 2019 (pre-COVID-19). In addition, we present the challenges and adaptation measures taken at the division and hospital levels leading up to the resumption of full division activity., Results: On the day of the cyberattack, critical decisions were made. The media announced the event, calling on patients not to come to our hospital. Also, all elective activities other than cesarean deliveries were stopped. The number of deliveries, admissions, and both emergency room and ambulatory clinic visits decreased by 5%-10% overall for 11 weeks, reflecting the decrease in division activity. Nevertheless, in all stations, there were sufficient activities and adaptation measures to ensure patient safety, decision-making, and workflow of patients were accounted for., Conclusions: The risk of ransomware cyberattacks is growing. Healthcare systems at all levels should recognize this threat and have protocols for dealing with them once they occur., (© 2023 International Federation of Gynecology and Obstetrics.)
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- 2023
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33. Single Sporadic Deceleration during Reactive Nonstress Test-Clinical Significance and Risk for Cesarean Delivery.
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Weinberger H, Nekave S, Hallak M, Naeh A, and Gabbay-Benziv R
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Objective: Evidence regarding the clinical significance of a single sporadic variable deceleration (SSD) in reactive non-stress test (NST) is scarce, and optimal management has yet to be established. We aim to evaluate whether SSD during a reactive NST at term is associated with a higher risk for fetal heart rate decelerations during labor and the need for intervention., Methods: This was a retrospective, case-control study of singleton term pregnancies at one university-affiliated medical center in 2018. The study group consisted of all pregnancies with an SSD in an otherwise reactive NST. For each case, two consecutive pregnancies without SSD were matched in a 1:2 ratio. The primary outcome was the rate of cesarean delivery (CD) due to non-reassuring fetal heart rate monitoring (NRFHRM)., Results: 84 women with an SSD were compared to 168 controls. SSD during antenatal fetal surveillance did not increase the rate of CD overall or for NRFHRM (17.9% vs. 13.7% and 10.7% vs. 7.7%, respectively, p > 0.05). Rates of assisted deliveries and maternal and neonatal complications were similar between the groups., Conclusions: SSD during a reactive NST in term pregnancies is not associated with an increased risk for adverse perinatal outcomes. SSD should not necessarily require induction of labor, and expectant management is a reasonable alternative.
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- 2023
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34. The Accuracy of Sonographically Estimated Fetal Weight and Prediction of Small for Gestational Age in Twin Pregnancy-Comparison of the First and Second Twins.
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Gawie-Rotman M, Menashe S, Haggiag N, Shrim A, Hallak M, and Gabbay-Benziv R
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Accurate sonographic estimation of fetal weight is essential for every pregnancy, especially in twin gestation. We conducted a retrospective analysis of the sonographically estimated fetal weight (sEFW) of all twin gestations performed within 14 days of delivery in a single center that aimed to evaluate the accuracy of sEFW in predicting neonatal weight and small for gestational age (SGA) by comparing the first fetus to the second. A total of 190 twin gestations were evaluated for the study. There was no statistically significant difference in the sEFW between the first and the second twins, but the second twin had a statistically significant lower birth weight (2434 vs. 2351 g, p = 0.028). No difference was found in median absolute systematic error ( p = 0.450), random error, or sEFW evaluations that were within 10% of the birth weight between the fetuses (65.3% vs. 67.9%, p = 0.587). Reliability analysis demonstrated an excellent correlation between the sEFW and the birth weight for both twins; however, the Euclidean distance was slightly higher for the first twin (12.21%). For SGA prediction, overall, there was a low sensitivity and a high specificity for all fetuses, with almost no difference between the first and second twins. We found that sEFW overestimated the birth weight for the second twin, with almost no other difference in accuracy measures or SGA prediction.
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- 2023
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35. Fetal Homozygous GM1 Gangliosidosis Presenting as Transient Non-immune Hydrops Fetalis.
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Gawie-Rotman M, Shrim A, Maor-Sagie E, Haggiag N, Gabbay-Benziv R, and Hallak M
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- Pregnancy, Female, Humans, Prenatal Care, Fetus, Hydrops Fetalis diagnosis, Hydrops Fetalis etiology, Gangliosidosis, GM1 diagnosis, Gangliosidosis, GM1 genetics
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- 2023
36. External validation of vaginal birth after cesarean delivery calculator in Israeli cohort of parturients and construction of an improved model.
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Haggiag N, Eitan S, Maor-Sagie E, Hallak M, and Gabbay-Benziv R
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- Pregnancy, Female, Humans, Trial of Labor, Retrospective Studies, Israel, Cesarean Section, Vaginal Birth after Cesarean
- Abstract
Objective: To validate the Maternal Fetal Medicine Unit's (MFMU) vaginal birth after cesarean delivery (VBAC) calculator in an Israeli cohort, and to detect other variables associated with VBAC and construct an improved VBAC calculator., Methods: A retrospective cohort study was performed at a single university-affiliated medical center. Women carrying a singleton, term, cephalic-presenting fetus, with previous one low transverse cesarean delivery who opted for trial of VBAC were included. Demographic and obstetric characteristics were incorporated into the MFMU's calculator, to predict probabilities of VBAC and compare prediction performance with the original publication utilizing receiver operating characteristic (ROC) statistics. Logistic regression analysis was used to investigate other variables and construct an improved model for success of VBAC., Results: Of 490 parturients, 396 (80.8%) had a successful vaginal delivery. Compared to the original publication, the MFMU's calculator underperformed: area under the ROC curve (AUC) was 0.709 (95% confidence interval [CI] 0.652-0.766, P < 0.001). Sensitivity, specificity, positive and negative predictive values, and overall accuracy were 67.42%, 65.96%, 89.30%, 32.46%, and 32.46%, respectively. An improved model that included previous VBAC, prior vaginal delivery, spontaneous onset of delivery, and maternal diabetes resulted in improved prediction performance with an AUC of 0.771 (95% CI 0.723-0.82, P < 0.001)., Conclusion: MFMU's VBAC calculator needs to be validated in different populations before implementation., (© 2022 International Federation of Gynecology and Obstetrics.)
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- 2023
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37. Postpartum post-traumatic stress symptoms during the COVID-19 period: exposure and fear as mediating factors.
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Shiffman N, Gluska H, Margalit S, Mayer Y, Daher R, Elyasyan L, Elia N, Sharon Weiner M, Miremberg H, Kovo M, Biron-Shental T, Gabbay-Benziv R, and Helpman L
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- Pregnancy, Female, Humans, Pandemics, Mediation Analysis, Communicable Disease Control, Postpartum Period, Fear, Stress Disorders, Post-Traumatic diagnosis, COVID-19 epidemiology
- Abstract
Background: Post-traumatic stress symptoms (PTSS) following childbirth are common within a stressful environment and are mitigated by social support. During the COVID-19 pandemic, an increase in such symptoms has been reported. The current study aims to longitudinally model the influence of general and pandemic-specific risk and protective factors on the temporal unfolding of symptoms among postpartum women. Methods: Participants were 226 women following a liveborn, term birth during the first lockdown in Israel. Participants completed questionnaires 10 weeks (T1) and 6 months (T2) after delivery. PATH analyses included predictors of symptoms in T1: demographics, exposure to traumatic events, medical complications during delivery or pregnancy, exposure to COVID-19-related events and their subjective impact, fear of COVID-19, and social support. Predictors of symptoms in T2 were: T1 predictors, both as direct effects and mediated by T1 PTSS, as well as predictors measured again in T2. Results: Results showed the suggested model fit the data. The effect of COVID-19-related fear and subjective impact at T1 on symptoms at T2 were fully mediated by PTSS in T1, as were the effects of marriage and high social support at T1. COVID-19-related fear at T2 positively predicted symptoms at T2, while social support at T2 had the opposite effect. Medical complications during pregnancy negatively predicted symptoms in T2 only. Discussion: Persistent fear appears to be a risk factor and supports a consistent buffer in postpartum PTSS during the COVID-19 pandemic. Medical complications during pregnancy served as a protective factor, possibly due to habituation to medical settings.
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- 2023
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38. The association between congenital uterine anomalies and perinatal outcomes - does type of defect matters?
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Naeh A, Sigal E, Barda S, Hallak M, and Gabbay-Benziv R
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- Infant, Newborn, Female, Pregnancy, Humans, Retrospective Studies, Placenta, Uterus abnormalities, Pregnancy Outcome epidemiology, Urogenital Abnormalities complications, Urogenital Abnormalities epidemiology, Premature Birth epidemiology, Premature Birth etiology
- Abstract
Objective: To evaluate the association between congenital uterine anomalies (CUA) and adverse perinatal outcomes stratified by type of anomaly., Methods: A retrospective cohort study of all women delivered in one university-affiliated medical center between 2010 and 2017 with CUA. Multiple pregnancies and pregnancies complicated by fetal anomalies were excluded. Maternal and short-term neonatal outcomes were evaluated and compared between women with unification defects (unicornuate, bicornuate, or uterus didelphys), and canalization defects represented by septate uterus. Univariate analysis was utilized followed by multivariate analysis to adjust for confounders. p < .05 was considered significant., Results: Among 167 pregnancies with CUA, 92 (55.1%) had bicornuate uterus, 32 (19.1%) septate uterus, 26 (15.6%) didelphys uterus, and 17 (10.1%) unicornuate uterus. Maternal demographics and obstetric characteristics were similar between women with unification and canalization defects. The entire cohort had high rates of preterm delivery (PTD), malpresentation, and cesarean delivery (CD) (25.7%, 42.5%, and 63.5%, respectively). In comparison to unification defects, pregnancies in women with canalization defects (septate uterus), had increased risk for PTD <32 weeks (12.5% vs. 2.9%, p = . 02), and placental abruption (12.5% vs. 3%, p = .02), however, a lower overall rate of CD (46.9% vs. 67.4%, p = .03). Following adjustment to confounders (age, BMI, nulliparity, chronic hypertension, and smoking) none of the results remained statistically significant. There were no differences in neonatal outcomes between the groups., Conclusions: Overall, women with CUA have a high prevalence of adverse pregnancy outcomes. However, outcome does not differ by type of anomaly.
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- 2022
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39. The expression of heparanase in term and preterm human placentas.
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Naeh A, Hantisteanu S, Meisel-Sharon S, Boyango I, Hallak M, and Gabbay-Benziv R
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- Infant, Newborn, Pregnancy, Humans, Female, Cesarean Section, Placentation, Glucuronidase metabolism, Placenta metabolism, Premature Birth metabolism
- Abstract
Purpose: Heparanase is an endo- β -glucuronidase that cleaves side chains of heparan-sulfate proteoglycans, an integral constituent of the extra cellular matrix. The abundance of heparanase in placental trophoblast cells implies its role in the processes of placentation and trophoblast invasion. This study aims to explore the involvement of heparanase in parturition and preterm deliveries (PTD)., Methods: Sixteen human placentas were collected following singleton spontaneous onset term vaginal deliveries ( n = 6), spontaneous onset preterm vaginal deliveries ( n = 7) and term elective cesarean sections ( n = 3). Placentas were excluded in case of any maternal chronic illness, pregnancy or delivery complications apart from PTD. Placental tissue samples were dissected, homogenized and proteins were extracted. Additionally, cryosections were prepared from the placental tissues. Heparanase expression was evaluated utilizing western blot analysis and immunofluorescence staining using heparanase specific antibodies. Heparanase expression was compared between the study groups qualitatively and quantitatively., Results: Western blot analysis results demonstrated higher expression of both pro-heparanase and heparanase in PTD placentas compared to term vaginal placentas. Accordingly, immunofluorescence staining shows elevated heparanase expression in PTD placentas compared to term vaginal placentas (5.1 ± 0.92 vs. 1.2 ± 0.18, p < .005). Expression level of heparanase was higher in term cesarean section placentas as compared to term vaginal deliveries placentas, but did not reach statistical significance (1.8 ± 0.39 vs. 1.2 ± 0.18, p = .06)., Conclusion: This study demonstrates for the first time that preterm vaginal deliveries are associated with higher expression of heparanase in placental tissue. This may imply a direct effect of heparanase on preterm labor. Further studies should evaluate the functional role by which heparanase influence preterm delivery.
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- 2022
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40. Special Issue: "Clinical Diagnosis and Management of Pregnancy Complications".
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Gabbay-Benziv R
- Abstract
Most pregnancies are uneventful and end with a healthy mother and a liveborn baby [...].
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- 2022
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41. Abdominal circumference discordance for prediction of small for gestational age at birth in twin pregnancies.
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Gelman M, Wilkof-Segev R, Gawie-Rotman M, Nadir E, Shrim A, Hallak M, and Gabbay-Benziv R
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- Birth Weight, Female, Fetal Growth Retardation, Gestational Age, Humans, Infant, Newborn, Pregnancy, ROC Curve, Retrospective Studies, Twins, Dizygotic, Ultrasonography, Prenatal methods, Fetal Weight, Pregnancy, Twin
- Abstract
Objective: To evaluate whether single sonographic abdominal circumference (AC) discordancy estimation can predict small for gestational age (SGA) at birth in twin gestations., Methods: A retrospective analysis of prospectively collected data. Cohort included all twin gestations delivered at one university-affiliated medical center between 2010 and 2018, with available sonographic evaluation from 22 gestational weeks to term. Pregnancies complicated by fetal chromosomal abnormalities, major anomalies or twin to twin transfusion syndrome were excluded. One sonographic evaluation per pregnancy was selected randomly. AC discordance was calculated as (large twin AC - small twin AC)/large twin AC*100. Prediction of SGA at birth for at least one newborn (<10% percentile for gestational age by gender-specific local curves for multiples) was evaluated using ROC statistics with calculation of Youden index to establish best AC discordance cutoff. AC discordance prediction performance was compared to estimated fetal weight discordance performance. Results were adjusted for confounders using logistic regression analysis., Results: After exclusion, 236 twin gestations entered analysis. Of them, 200/236 (84.7%) were dichorionic-diamniotic twins. Mean gestational age at ultrasound evaluation and at delivery were 30.9 ± 4.4 and 35.9 ± 2.4 weeks, respectively. In 28/236 (11.8%) pregnancies, at least one neonate was born SGA. AC discordance predicted SGA at birth as good as sonographic estimated fetal weight (sEFW) discordance: ROC-AUC 0.76, 95% CI 0.67-0.85 vs. 0.77 95% CI 0.66-0.87, p < .001 for all. Best AC discordance cutoff for prediction of SGA at birth was 7.1% (57% sensitivity, 87% specificity), ROC-AUC 0.72 (95% CI 0.61-0.84, p < .001). Results remained significant after adjustment for maternal age, nulliparity, chorionicity and ultrasound to delivery interval (aOR 1.21 95% CI 1.1-1.32, p < .001)., Conclusion: According to our results, AC discordance at single sonographic evaluation can predict SGA at birth in twin gestations as good as sEFW discordance. Best cutoff for SGA prediction was 7.1%.
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- 2022
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42. Hypoglycemia during the oral glucose tolerance test in pregnancy-maternal characteristics and neonatal outcomes.
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Raviv S, Wilkof-Segev R, Maor-Sagie E, Naeh A, Yoeli Y, Hallak M, and Gabbay-Benziv R
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- Birth Weight, Blood Glucose, Female, Fetal Growth Retardation, Glucose Tolerance Test, Humans, Infant, Newborn, Male, Pregnancy, Pregnancy Outcome, Retrospective Studies, Diabetes, Gestational diagnosis, Hypoglycemia etiology, Infant, Newborn, Diseases
- Abstract
Objective: To evaluate maternal and neonatal outcomes in pregnancies complicated by hypoglycemia on 100-g oral glucose tolerance test (OGTT)., Methods: A retrospective cohort analysis of all live-born deliveries in a single medical center during 2018 and 2019 with available OGTT results and birth outcomes. Preterm deliveries (<34 weeks), multiple pregnancies and major anomalies were excluded. Hypoglycemia during OGTT was defined as at least one glucose value below 60 mg/dl. Maternal characteristics and perinatal outcomes were compared between three groups: Hypoglycemia on OGTT, Normal OGTT and Abnormal OGTT. Univariate followed by multivariate analyses were used to control for confounders., Results: Overall, 2079 women were entered into the analysis. Of these, 216 (10.4%) had at least one hypoglycemic value, 1072 (51.6%) had normal OGTTs and 791 (38%) abnormal OGTTs. Hypoglycemia in OGTT was more prevalent in multiparous women and was associated with fetal male gender. Absolute birth weight, low birth weight and small for gestational age differed between groups; however, there was no difference between groups in overall birth weight centiles (60.1 ± 26.8 versus 63 ± 26 versus 60.9 ± 27; P > 0.05). Following adjustment of confounders, hypoglycemia was not associated with rates of low birth weight or small for gestational age (P < 0.05). There were no other differences in perinatal outcomes between groups., Conclusion: Hypoglycemia in OGTT is not associated with maternal or neonatal adverse outcomes., (© 2021 International Federation of Gynecology and Obstetrics.)
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- 2022
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43. Uterine separation or just a local contraction?
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Vardi David L, Shrim A, and Gabbay-Benziv R
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- 2022
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44. Postpartum Depression in COVID-19 Days: Longitudinal Study of Risk and Protective Factors.
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Gluska H, Shiffman N, Mayer Y, Margalit S, Daher R, Elyasyan L, Sharon Weiner M, Miremberg H, Kovo M, Biron-Shental T, Helpman L, and Gabbay-Benziv R
- Abstract
COVID-19 impacted the childbirth experience and increased the rates of postpartum depression (PPD). We assessed the longitudinal effects of the pandemic on the rates of PPD and evaluated the PPD causes and symptoms among women who delivered during the first COVID-19 quarantine in Israel. The participants completed online questionnaires 3 (T1) and 6 months (T2) following delivery. We used the ‘COVID-19 exposure’ questionnaire, while PPD symptoms, situational anxiety, and social support were evaluated with the EPDS, STAI, and MSPSS questionnaires. The mean EPDS scores increased between T1 and T2 (6.31 ± 5.6 vs. 6.92 ± 5.9, mean difference −0.64 ± 4.59 (95% CI (−1.21)−(−0.06)); t (244) = −2.17, p = 0.031), and the STAI scores decreased (45.35 ± 16.4 vs. 41.47 ± 14.0, t(234) = 4.39, p = 0.000). Despite the exposure to an increased number of COVID-19 events (3.63 ± 1.8 vs. (6.34 ± 2.3)), the impact of exposure decreased between T1 and T2 (8.91 ± 4.6 vs. 7.47 ± 4.1), p < 0.001). In the MSPSS, significant differences were noted on the family scale between the T1 (6.10 ± 1.3) and T2 (5.91 ± 1.4) scores; t (216) = 2.68, p = 0.0008. A regression analysis showed three statistically significant variables that correlated with increased EPDS scores: the MSPSS family subscale (F (1212.00) = 4.308, p = 0.039), the STAI scores (F (1212.00) = 31.988, p = 0.000), and the impact of exposure to COVID-19 (F (1212.00) = 5.038, p = 0.026). The rates of PPD increased for women who delivered during the first COVID-19 lockdown. Further research is warranted to help reduce PPD among these women.
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- 2022
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45. False diagnosis of small for gestational age and macrosomia - clinical and sonographic predictors.
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Bardin R, Aviram A, Hiersch L, Hadar E, and Gabbay-Benziv R
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- Birth Weight, Female, Gestational Age, Humans, Infant, Newborn, Infant, Small for Gestational Age, Male, Placenta, Pregnancy, Pregnancy Trimester, Third, Retrospective Studies, Ultrasonography, Prenatal, Fetal Growth Retardation diagnostic imaging, Fetal Macrosomia diagnostic imaging
- Abstract
Purpose: To investigate clinical and sonographic features associated with sonographic accuracy for the prediction of small for gestational age (SGA) and macrosomia at birth., Methods: The database of a tertiary medical center was retrospectively searched for women who gave birth at term to a singleton healthy neonate in 2007-2014 and underwent sonographic estimated fetal weight (sEFW) evaluation within 3 d before delivery. Fetal growth restriction (FGR) and SGA were defined as sEFW or birth weight <10th percentile for gestational age; macrosomia was defined as birth weight >4000 grams. Data on maternal age, parity, gestational age, fetal gender, presentation, placental location, diabetes, hypertension, and oligo/polyhydramnios were compared between pregnancies with a false-negative and false-positive diagnosis of SGA or macrosomia., Results: Of the 5425 fetal weight evaluations, 254 (4.7%) deviated by >15% from the actual birth weight. Nulliparity, absence of diabetes, neonatal female gender, anterior placenta, lower birth weight, and oligohydramnios were associated with a high deviation. We identified 482 SGA neonates (8.9%) and 633 macrosomic neonates (11.7%). A false-positive diagnosis of FGR was associated with oligohydramnios, absence of diabetes, and posterior placenta, and a false-negative diagnosis, with older maternal age, nulliparity, and male gender. A false-positive diagnosis of macrosomia was associated with older maternal age, multiparity, polyhydramnios, anterior placenta, and lack of hypertensive complications, and a false-negative diagnosis, with diabetes, hypertension, oligohydramnios, and vertex presentation., Conclusion: The accuracy of sEFW is affected by clinical and sonographic pregnancy characteristics. Further analyses should focus on improving accuracy especially at the fetal weight extremes.
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- 2022
- Full Text
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46. Postpartum voiding dysfunction following vaginal versus caesarean delivery.
- Author
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Salman L, Shmueli A, Aharony S, Pardo A, Chen R, Wiznitzer A, and Gabbay-Benziv R
- Subjects
- Delivery, Obstetric adverse effects, Female, Humans, Postpartum Period, Pregnancy, Prospective Studies, Cesarean Section adverse effects, Labor, Obstetric
- Abstract
In this prospective study, we evaluated postpartum voiding dysfunction stratified by mode of delivery - vaginal delivery versus elective caesarean delivery (CD). We recruited nulliparous women carrying singleton gestation at term admitted to delivery room or elective CD. Pre-labour voiding function was assessed by recording the post-voiding residual volume (PVRV) using a bladder scan. PVRV evaluation was repeated at least 12 hours following delivery and before discharge. PVRVs were considered abnormal if ≥150 mL. PVRVs were compared between vaginal and CD. Overall, 54 women were included. Of them, 34 (63%) delivered vaginally and 20 (37%) had an elective CD. Postpartum mean PVRVs were significantly higher compared to pre-labour PVRVs (215 vs. 133 mL, p <.001). Abnormal postpartum PVRV was significantly higher in vaginal delivery compared to CD (73.5% vs. 45%, p <.05). In conclusion, delivery adversely affects voiding function. Vaginal delivery is associated with more severe voiding dysfunction compared to elective CD.Impact Statement What is already known on this subject? Delivery is associated with voiding dysfunction. While most studies on postpartum voiding dysfunction were related to vaginal delivery, little is known on the effect of mode of delivery (vaginal versus caesarean delivery (CD)) on voiding dysfunction. What the results of this study add? In this study, we found that postpartum post-voiding residual volume is significantly higher than the pre-labour PVRV in women delivered vaginally. In addition, postpartum PVRV was significantly higher in women delivered vaginally compared to elective CD. What the implications are of these findings for clinical practice and/or further research? This study implicates that women with vaginal delivery are more prone to voiding dysfunction compared to elective CD. However, larger observational studies are warranted to confirm these results and evaluate whether this difference still exists beyond the post-partum period.
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- 2022
- Full Text
- View/download PDF
47. Determination of reference values for third trimester amniotic fluid index: a retrospective analysis of a large cohort of pregnancies with comparison to previous nomograms.
- Author
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Gabbay-Benziv R, Maor-Sagie E, Shrim A, and Hallak M
- Subjects
- Cross-Sectional Studies, Female, Gestational Age, Humans, Infant, Nomograms, Pregnancy, Pregnancy Outcome, Pregnancy Trimester, Third, Reference Values, Retrospective Studies, Amniotic Fluid, Oligohydramnios
- Abstract
Purpose: To establish a new set of reference values for third-trimester amniotic fluid index (AFI) and compare them to other previously published normograms., Methods: A retrospective cross-sectional cohort analysis of all singleton sonographic evaluations >22 gestational weeks in one university affiliated medical center between 2013 and 2017. Pregnancies complicated by rupture of membranes, major anomalies/chromosomal abnormalities were excluded. One evaluation per patient per pregnancy was randomly selected. Reference values were constructed using a best-fit regression model for estimation of mean and standard deviation at each gestational age after normalization of variables and compared with previously published norms., Results: A total of 7037 ultrasound evaluations entered the analysis. Correlation between AFI and gestational age was best represented by a first-degree polynomial equation. AFI decreased gradually from 16.4 at 22 weeks to 13.3 at 40 weeks (cm, median). The standard deviation increased with gestational age with AFI ranging from 12.9-20.2 at 22 weeks and 4.7-26.2 at 40 weeks (cm, 2.5-97.5 percentile). Compared to other curves, our reference values demonstrated a higher median AFI throughout all gestation., Conclusions: Reference values for the third trimester AFI were established. Curves should be correlated with perinatal outcome prior to wide clinical implementation.
- Published
- 2022
- Full Text
- View/download PDF
48. Efficient maternal to neonatal transfer of antibodies against SARS-CoV-2 and BNT162b2 mRNA COVID-19 vaccine.
- Author
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Beharier O, Plitman Mayo R, Raz T, Nahum Sacks K, Schreiber L, Suissa-Cohen Y, Chen R, Gomez-Tolub R, Hadar E, Gabbay-Benziv R, Moshkovich YJ, Biron-Shental T, Shechter-Maor G, Farladansky-Gershnabel S, Yitzhak Sela H, Benyamini-Raischer H, Sela ND, Goldman-Wohl D, Shulman Z, Many A, Barr H, Yagel S, Neeman M, and Kovo M
- Published
- 2021
- Full Text
- View/download PDF
49. The Accuracy of Sonographic Fetal Head Circumference in Twin Pregnancies.
- Author
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Gabbay-Benziv R, Anabusi S, Nadir E, Kamar D, Hallak M, and Shrim A
- Subjects
- Female, Gestational Age, Humans, Infant, Newborn, Pregnancy, Reproducibility of Results, Retrospective Studies, Pregnancy, Twin, Ultrasonography, Prenatal
- Abstract
Objective: To assess the accuracy of sonographic estimation of fetal head circumference in twin gestations., Methods: A retrospective analysis of sonographic evaluations of twin gestations >34 weeks, performed within 7 days of delivery, in a single university-affiliated medical centre. Sonographic head circumference was compared with neonatal head circumference. Measures of accuracy included systematic error, random error, proportion of estimates within 5% of neonatal head circumference, and reliability analysis. Accuracy of sonographic head circumference was compared between the first and second twin., Results: Overall, 103 twin gestations were evaluated at a median of 4 days before delivery. The majority of twins were dichorionic-diamniotic (83%). Median gestational age at delivery was 37 weeks, with a median birth weight of 2645 grams for the first twin and 2625 grams for the second twin. For all fetuses, median sonographic head circumference was lower than the neonatal head circumference (first twin: 317.5 vs. 330 mm; second twin: 318.4 vs. 330 mm, P > 0.05 for both). Measures of accuracy showed no significant difference between first and second twin. There was no difference in the number of sonographic head circumference evaluations that were within 5% of the neonatal head circumference between fetuses (64% for both twins). Cronbach α value was higher for the second twin (0.746 vs. 0.613), suggesting higher accuracy for head circumference measurement for the second twin., Conclusion: In our cohort, sonographic head circumference underestimated postnatal head circumference. Accuracy measurements were not significantly different between the first and second twin., (Copyright © 2021 The Society of Obstetricians and Gynaecologists of Canada/La Société des obstétriciens et gynécologues du Canada. Published by Elsevier Inc. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
50. Flat Oral Glucose Tolerance Test During Pregnancy: Maternal Characteristics and Risk for Adverse Outcomes.
- Author
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Naeh A, Wilkof-Segev R, Jaffe A, Maor-Sagie E, Hallak M, and Gabbay-Benziv R
- Abstract
Flat oral glucose tolerance test (OGTT) curve is characterized by low glucose levels, seemingly nonresponsive to glucose load. Few studies have explored flat OGTT during pregnancy and have yielded conflicting results, some suggesting risk for fetal growth restriction. This study evaluated the characteristics and perinatal outcomes of women with a flat OGTT during pregnancy. We found that a flat OGTT curve occurs in younger, leaner pregnant women. Also, flat OGTT curve was significantly associated with a male fetus and higher levels of pregnancy-associated plasma protein A at the first-trimester screening. Although flat OGTT can possibly reflect some degree of hyperinsulinemia, it is generally not associated with adverse maternal or neonatal outcomes., (© 2021 by the American Diabetes Association.)
- Published
- 2021
- Full Text
- View/download PDF
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