Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
Article in English | MEDLINE | ID: mdl-38837187

ABSTRACT

BACKGROUND: The mean wait time for new patient appointments has been growing across specialties, including obstetrics and gynecology, in recent years. This study aimed to assess the impact of insurance type (Medicaid versus commercial insurance) on new patient appointment wait times in general obstetrics and gynecology practices. METHODS: A cross-sectional study used covert mystery calls to general obstetrician gynecologists. Physicians were selected from the American College of Obstetricians and Gynecologists directory and stratified by districts to ensure nationwide representation. Wait times for new patient appointments were collected and analyzed. RESULTS: Regardless of insurance type, the mean wait time for all obstetrician gynecologists was 29.9 business days. Medicaid patients experienced a marginally longer wait time of 4.8% (Ratio: 1.048). While no statistically significant difference in wait times based on insurance type was observed (P=0.39), the data revealed other impactful factors. Younger physicians and those in university-based practices had longer wait times. The gender of the physician also influenced wait times, with female physicians having a mean wait time of 34.7 days compared to 22.7 days for male physicians (P=0.03). Additionally, geographical variations were noted, with physicians in American College of Obstetricians and Gynecologists District I (Atlantic Provinces, CT, ME, MA, NH, RI, VT) having the longest mean wait times and those in District III (DE, NJ, PA) the shortest. CONCLUSIONS: While the type of insurance did not significantly influence the wait times for general obstetrics and gynecology appointments, physician demographic and geographic factors did.

2.
Am J Physiol Endocrinol Metab ; 324(6): E556-E568, 2023 06 01.
Article in English | MEDLINE | ID: mdl-37126847

ABSTRACT

Glucose, lactate, and amino acids are major fetal nutrients. During placental insufficiency-induced intrauterine growth restriction (PI-IUGR), uteroplacental weight-specific oxygen consumption rates are maintained, yet fetal glucose and amino acid supply is decreased and fetal lactate concentrations are increased. We hypothesized that uteroplacental metabolism adapts to PI-IUGR by altering nutrient allocation to maintain oxidative metabolism. Here, we measured nutrient flux rates, with a focus on nutrients shuttled between the placenta and fetus (lactate-pyruvate, glutamine-glutamate, and glycine-serine) in a sheep model of PI-IUGR. PI-IUGR fetuses weighed 40% less and had decreased oxygen, glucose, and amino acid concentrations and increased lactate and pyruvate versus control (CON) fetuses. Uteroplacental weight-specific rates of oxygen, glucose, lactate, and pyruvate uptake were similar. In PI-IUGR, fetal glucose uptake was decreased and pyruvate output was increased. In PI-IUGR placental tissue, pyruvate dehydrogenase (PDH) phosphorylation was decreased and PDH activity was increased. Uteroplacental glutamine output to the fetus and expression of genes regulating glutamine-glutamate metabolism were lower in PI-IUGR. Fetal glycine uptake was lower in PI-IUGR, with no differences in uteroplacental glycine or serine flux. These results suggest increased placental utilization of pyruvate from the fetus, without higher maternal glucose utilization, and lower fetoplacental amino acid shuttling during PI-IUGR. Mechanistically, AMP-activated protein kinase (AMPK) activation was higher and associated with thiobarbituric acid-reactive substances (TBARS) content, a marker of oxidative stress, and PDH activity in the PI-IUGR placenta, supporting a potential link between oxidative stress, AMPK, and pyruvate utilization. These differences in fetoplacental nutrient sensing and shuttling may represent adaptive strategies enabling the placenta to maintain oxidative metabolism.NEW & NOTEWORTHY These results suggest increased placental utilization of pyruvate from the fetus, without higher maternal glucose uptake, and lower amino acid shuttling in the placental insufficiency-induced intrauterine growth restriction (PI-IUGR) placenta. AMPK activation was associated with oxidative stress and PDH activity, supporting a putative link between oxidative stress, AMPK, and pyruvate utilization. These differences in fetoplacental nutrient sensing and shuttling may represent adaptive strategies enabling the placenta to maintain oxidative metabolism at the expense of fetal growth.


Subject(s)
Placental Insufficiency , Humans , Pregnancy , Female , Animals , Sheep , Placental Insufficiency/metabolism , Placenta/metabolism , Fetal Growth Retardation/metabolism , Glutamine/metabolism , AMP-Activated Protein Kinases/metabolism , Fetus/metabolism , Glucose/metabolism , Lactic Acid/metabolism , Amino Acids/metabolism , Nutrients , Glycine/metabolism , Serine/metabolism , Pyruvates/metabolism , Oxygen/metabolism
3.
Sci Rep ; 10(1): 4020, 2020 03 04.
Article in English | MEDLINE | ID: mdl-32132573

ABSTRACT

The explore-exploit dilemma describes the trade off that occurs any time we must choose between exploring unknown options and exploiting options we know well. Implicit in this trade off is how we value future rewards - exploiting is usually better in the short term, but in the longer term the benefits of exploration can be huge. Thus, in theory there should be a tight connection between how much people value future rewards, i.e. how much they discount future rewards relative to immediate rewards, and how likely they are to explore, with less 'temporal discounting' associated with more exploration. By measuring individual differences in temporal discounting and correlating them with explore-exploit behavior, we tested whether this theoretical prediction holds in practice. We used the 27-item Delay-Discounting Questionnaire to estimate temporal discounting and the Horizon Task to quantify two strategies of explore-exploit behavior: directed exploration, where information drives exploration by choice, and random exploration, where behavioral variability drives exploration by chance. We find a clear correlation between temporal discounting and directed exploration, with more temporal discounting leading to less directed exploration. Conversely, we find no relationship between temporal discounting and random exploration. Unexpectedly, we find that the relationship with directed exploration appears to be driven by a correlation between temporal discounting and uncertainty seeking at short time horizons, rather than information seeking at long horizons. Taken together our results suggest a nuanced relationship between temporal discounting and explore-exploit behavior that may be mediated by multiple factors.

SELECTION OF CITATIONS
SEARCH DETAIL
...