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1.
Cureus ; 15(7): e42021, 2023 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-37593258

RESUMO

Colostrum from mothers is rich in immunomodulating bio-factors such as immunoglobulins (IgA), lactoferrin, and oligosaccharides and supports gut microbial and inflammatory processes. The support in these processes may provide some relief for infants who are born pre-term. Pre-term infants are more likely to develop necrotizing enterocolitis (NEC), late-onset sepsis (LOS), and ventilator-acquired/associated pneumonia (VAP). Due to the components of colostrum, there may be incentives towards early administration for preterm infants. An extensive literature review was done using ProQuest, ScienceDirect, and PubMed. Only meta-analyses and experimental studies were used. The search included the keywords 'colostrum and preterm' and 'colostrum and necrotizing enterocolitis'. The initial search generated 13,543 articles and was narrowed to 25 articles through comprehensive inclusion and exclusion criteria. There were significantly higher levels of Lactobacillus and Bifidobacterium in pre-term infants given colostrum and a decrease in Moraxellaceae and Staphylococcaceae. Salivary secretory IgA increased following oral colostrum administration in pre-term infants along with downregulation of interleukin (IL)-1b and IL-8. It was also observed that tumor necrosis factor (TNF)-a, and interferon-gamma (IFN-g) were significantly higher in the control group. There was no significant difference in the incidence of LOS, NEC, or VAP between pre-term infants receiving colostrum and those who did not. Secondary outcomes such as time to full enteral feeding were improved in pre-term infants receiving oral colostrum in addition to reduced hospital stays. Lastly, there was no difference in mortality between pre-term infants that received colostrum compared to those who did not.

2.
Cureus ; 15(12): e50725, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-38234933

RESUMO

Gestational diabetes mellitus (GDM) is the most common complication of pregnancy that arises in the 2nd and 3rd trimesters, leading to significant complications for the mother and her neonates, such as an increased rate of pregnancy-induced hypertension and miscarriages, while neonates may have a large birth weight, hypoglycemia, or macrosomnia. Numerous risk factors can lead to GDM; however, a significant one is polycystic ovarian syndrome (PCOS). PCOS is the most common endocrine pathology beginning before puberty, and due to significant hormonal changes, it is not diagnosed until after puberty. PCOS requires at least three of the following symptoms: hyperandrogenism, menstrual irregularities, or polycystic ovary morphology. While it is agreed that women with PCOS are at a significantly increased risk of GDM, no publication to our knowledge has evaluated the full relationship of GDM in the setting of PCOS. This paper aimed to assess this relationship and determine how it may differ for pregnant women with only GDM by determining the prevalence of GDM, the variations within phenotypes, the influence of fertilization methods, specific risk factors, maternal outcomes, and neonatal outcomes. The prevalence of GDM was significantly increased in women with PCOS compared to healthy controls, and some studies have found that phenotype A may be more likely to lead to GDM. Risk factors were similar to pregnant women with only GDM, but with GDM and PCOS specifically, preconception low sex hormone-binding globulin, increased BMI > 25 kg/m2, and preconception impaired glucose tolerance were specific. While maternal outcomes were similar to pregnant women with only GDM, women with GDM and PCOS were even more likely to develop pregnancy-induced hypertension and early miscarriage. Neonates from mothers with GDM and PCOS were more likely to have low birth weights compared to mothers with just GDM who had high birth weights. The evaluation of the relationship between GDM and PCOS allows for illumination of the need to evaluate influences that currently lack research, such as phenotype variation and influences of fertilization method. This also promotes the need to develop predictive algorithms based on risk factors to prevent these adverse outcomes for mothers and neonates.

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