Publications by authors named "M Mirzamoradi"
Article Synopsis
- Preterm delivery is a major cause of neonatal deaths and can result in serious health issues for surviving infants, highlighting the need for reliable prediction methods.
- This study introduces an artificial neural network (ANN) approach to predict preterm birth, potentially allowing for earlier medical intervention and reducing risks for infants.
- The ANN model demonstrated a classification accuracy of 79.03% using 13 risk factors from 300 pregnant women, indicating it can be an effective tool for early identification of those at high risk for preterm delivery.
Purpose: Respiratory distress syndrome (RDS) is potentially fatal in infants. The present study investigated the association of maternal serum vitamin D level with fetal pulmonary artery Doppler indices and neonatal RDS.
Methods: This cross-sectional-analytical study was conducted on 260 mothers admitted for delivery.
Background: Fetal movement monitoring is one of the strategies used to assess the fetus's health. Until now, most studies focused on the decreased fetal movement and neonatal outcome, although this systematic review and meta-analysis is designed to assess the association between increased fetal movements (IFM) with perinatal outcomes.
Method: The electronic databases including PubMed, Scopus, Web of Science, and EMBASE were systematically searched for studies investigating the perinatal outcome of women with increased fetal movements from inception to July 2023.
Diagnostic value of neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio to predict recurrent pregnancy loss and abortion; a systematic review and meta-analysis.
Immun Inflamm Dis
March 2024
Objective: This systematic review and meta-analysis aimed to evaluate the diagnostic value of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in women with a history of abortion (missed and threatened) and recurrent pregnancy loss (RPL) in comparison with healthy pregnancies.
Methods: Electronic databases including MEDLINE, Scopus, Web of Science, Embase, and Cochrane Library were searched for NLR and PLR in women who experienced early pregnancy loss up to January 1, 2023 with a combination of proper keywords. Meta-analysis was done for comparison with three or more studies and summary estimates were measured.
Objective: Currently, uteroplacental vascular disorders are considered one of the main mechanisms of spontaneous preterm delivery (PTD). Low-dose aspirin is used to prevent pre-eclampsia, which has a similar mechanism; hence, the present study aimed to investigate the effect of low-dose aspirin on the prevention of PTD in women with a history of spontaneous PTD.
Methods: The present pilot randomized clinical trial was conducted on 54 pregnant women in the aspirin group (taking 80 mg daily until the 36 week and classic treatment) and 53 patients in the control group (only receiving classic treatment).