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A multivariable prediction model for intra-amniotic infection in patients with preterm labor and intact membranes including a point of care system that measures amniotic fluid MMP-8.
Cobo, Teresa; Ferrero, Silvia; Haavisto, Anna; Luokola, Paula; Sanchez-Garcia, Ana B; Bosch, Jordi; Gené, Amadeu; Murillo, Clara; Rueda, Claudia; González-de la Presa, Bernardino; Santamaria, Susana; Ponce, Júlia; Boada, David; Palacio, Montse.
Afiliación
  • Cobo T; BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clinic and Hospital Sant Joan de Déu), Institut Clínic de Ginecología, Obstetrícia I Neonatología, Fetal i+D Fetal Medicine Research Center, Barcelona, Spain.
  • Ferrero S; Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
  • Haavisto A; Center for Biomedical Research on Rare Diseases (CIBER-ER), Institute of Health Carlos III (ISCIII), Madrid, Spain.
  • Luokola P; BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clinic and Hospital Sant Joan de Déu), Institut Clínic de Ginecología, Obstetrícia I Neonatología, Fetal i+D Fetal Medicine Research Center, Barcelona, Spain.
  • Sanchez-Garcia AB; Actim Oy, Espoo, Finland.
  • Bosch J; Actim Oy, Espoo, Finland.
  • Gené A; BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clinic and Hospital Sant Joan de Déu), Institut Clínic de Ginecología, Obstetrícia I Neonatología, Fetal i+D Fetal Medicine Research Center, Barcelona, Spain.
  • Murillo C; Microbiology Department, Center of Biomedical Diagnostic, Hospital Clínic of Barcelona, ISGlobal, Barcelona, Spain.
  • Rueda C; Microbiology Department, Hospital Sant Joan de Déu, Barcelona, Spain.
  • González-de la Presa B; BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clinic and Hospital Sant Joan de Déu), Institut Clínic de Ginecología, Obstetrícia I Neonatología, Fetal i+D Fetal Medicine Research Center, Barcelona, Spain.
  • Santamaria S; BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clinic and Hospital Sant Joan de Déu), Institut Clínic de Ginecología, Obstetrícia I Neonatología, Fetal i+D Fetal Medicine Research Center, Barcelona, Spain.
  • Ponce J; Core Laboratory, Hospital Clínic, Barcelona, Spain.
  • Boada D; Core Laboratory, Hospital Clínic, Barcelona, Spain.
  • Palacio M; BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clinic and Hospital Sant Joan de Déu), Institut Clínic de Ginecología, Obstetrícia I Neonatología, Fetal i+D Fetal Medicine Research Center, Barcelona, Spain.
J Perinat Med ; 52(2): 136-142, 2024 Feb 26.
Article en En | MEDLINE | ID: mdl-38098237
ABSTRACT

OBJECTIVES:

Among patients with preterm labor and intact membranes (PTL), those with intra-amniotic infection (IAI) present the highest risk of adverse perinatal outcomes. Current identification of IAI, based on microbiological cultures and/or polymerase chain reaction amplification of the 16S ribosomal RNA gene, delay diagnosis and, consequently, antenatal management. The aim to of the study was to assess the performance of a multivariable prediction model for diagnosing IAI in patients with PTL below 34.0 weeks using clinical, sonographic and biochemical biomarkers.

METHODS:

From 2019 to 2022, we prospectively included pregnant patients admitted below 34.0 weeks with diagnosis of PTL and had undergone amniocentesis to rule in/out IAI. The main outcome was IAI, defined by a positive culture and/or 16S ribosomal RNA gene in amniotic fluid. Based on the date of admission, the sample (n=98) was divided into a derivation (2019-2020, n=49) and validation cohort (2021-2022, n=49). Logistic regression models were developed for the outcomes evaluated. As predictive variables we explored ultrasound cervical length measurement at admission, maternal C-reactive protein, gestational age, and amniotic fluid glucose and matrix metalloproteinase-8 (MMP-8) levels. The model was developed in the derivation cohort and applied to the validation cohort and diagnostic performance was evaluated. Clinical management was blinded to the model results.

RESULTS:

During the study period, we included 98 patients admitted with a diagnosis of PTL. Of these, 10 % had IAI. The final model included MMP-8 and amniotic fluid glucose levels and showed an area under the receiver operating characteristic curve to predict the risk of IAI of 0.961 (95 % confidence interval 0.860-0.995) with a sensitivity of 75 %, specificity of 93.3 %, positive likelihood ratio (LR) of 11.3 and negative LR of 0.27 in the validation cohort.

CONCLUSIONS:

In patients with PTL, a multivariable prediction model including amniotic fluid MMP-8 and glucose levels might help in the clinical management of patients undergoing amniocentesis to rule in/out IAI, providing results within a few minutes.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Corioamnionitis / Trabajo de Parto Prematuro Límite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: J Perinat Med Año: 2024 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Corioamnionitis / Trabajo de Parto Prematuro Límite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: J Perinat Med Año: 2024 Tipo del documento: Article País de afiliación: España