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Model for Early Prediction of Preeclampsia: A Nested Case Controlled Study in Indian Women.
Yadav, Sonali; Khandpur, Sukhanshi; Yadav, Yogendra Singh; Goel, Madhu Mati; Singh, Urmila; Natu, Shankar Madhav; Negi, Mahendra Pal S; Sharma, Lokendra Kumar; Tiwari, Swasti.
Afiliación
  • Yadav S; Department of Pathology, King George's Medical University, Lucknow, U.P. India.
  • Khandpur S; Department of Molecular Medicine & Biotechnology, Sanjay Gandhi Post Graduate Institute of Medical Science (SGPGIMS), 4th Floor PMSSY Building, Raebareli Rd, Lucknow, U.P. 226014 India.
  • Yadav YS; Department of Molecular Medicine & Biotechnology, Sanjay Gandhi Post Graduate Institute of Medical Science (SGPGIMS), 4th Floor PMSSY Building, Raebareli Rd, Lucknow, U.P. 226014 India.
  • Goel MM; Department of Pediatrics, Uttar Pradesh University of Medical Science, Saifai, U.P. India.
  • Singh U; Department of Pathology, King George's Medical University, Lucknow, U.P. India.
  • Natu SM; Department of Obstetrics and Gynecology, King George's Medical University, Lucknow, U.P. India.
  • Negi MPS; Department of Pathology, King George's Medical University, Lucknow, U.P. India.
  • Sharma LK; Institute for Data Computing & Training, Lucknow, U.P. India.
  • Tiwari S; Department of Molecular Medicine & Biotechnology, Sanjay Gandhi Post Graduate Institute of Medical Science (SGPGIMS), 4th Floor PMSSY Building, Raebareli Rd, Lucknow, U.P. 226014 India.
J Obstet Gynaecol India ; 72(4): 299-306, 2022 Aug.
Article en En | MEDLINE | ID: mdl-35923506
Purpose: Preeclampsia (PE) affects 5-7% of the pregnancies worldwide, and is one of the most dreaded disorders of pregnancy contributing to maternal and neonatal mortality. PE is mostly presented in the third trimester of pregnancy. Here, we used serum placental growth factor (PIGF) and soluble fms-like tyrosine kinase-1 (sFlt-1) to develop a model for predicting PE in Indian women in early second trimester. Methods: In this case-control study, a total 1452 healthy pregnant women were recruited. Blood samples were collected at the following gestational weeks (GWs), 12-20 (GW1), 21-28 (GW2) and 29-term (GW3), and post-delivery. Body mass index (BMI) was calculated by anthropometric measurements. Serum sFlt-1, PIGF and VEGF were analyzed by ELISA. A predictive model for PE was developed using multivariable logistic regression analysis. Results: In PE cases, serum PlGF and VEGF levels were significantly lower at each GW, while serum sFlt-1 was lower only at GW1, relative to age-matched controls, (n = 132/group). Age-matched comparison between PE cases and controls indicated that sFlt-1 was associated with decreased PE outcome (Odds ratio. OR = 0.988, CI = 0.982-0.993), whereas sFlt-1/PlGF ratio (OR = 1.577, CI = 1.344-1.920) and BMI (OR = 1.334, CI = 1.187-1.520) were associated with increased PE outcome. Logistic regression was used to develop a predictive model for PE at GW1. Using testing dataset, model was externally validated which resulted in 88% accuracy in predicting PE cases at 0.5 probability cutoff. Conclusion: Prediction model using sFlt-1, sFlt-1/PlGF ratio and BMI may be useful to predict PE as early as 12-20 weeks in women with optimal sensitivity and specificity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Obstet Gynaecol India Año: 2022 Tipo del documento: Article Pais de publicación: India
Texto completo
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Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Obstet Gynaecol India Año: 2022 Tipo del documento: Article Pais de publicación: India