Microprolactinoma Growth During Pregnancy With Pituitary Tumor Apoplexy: Case Report and Review of the Literature.

Prolactinomas are the most prevalent subtype of pituitary adenomas and represent one of the leading etiological factors responsible for amenorrhea and infertility in women. The primary therapeutic approach entails the use of dopamine agonists, which effectively restore fertility. In cases of microprolactinomas, the likelihood of experiencing a symptomatic enlargement of the tumor during pregnancy is exceptionally low, estimated at a mere 2.

Soilscapes from Byers Peninsula, Maritime Antarctic: landform-lithology controls in soil formation.

The Byers Peninsula, the largest ice-free area in Maritime Antarctica, is vital for studying landscape-scale natural processes due to its diverse periglacial landforms. This study aim to characterize the soils and environments of its southern sector, focusing on soil-landform-lithology interactions. Thirty-seven soil profiles were classified, collected, and chemically and physically analyzed.

Abortion-related complications in Brazil: results from the World Health Organization Multi-country Survey on Abortion (MCS-A).

This study aimed to describe the severity of abortion-related complications, factors associated with complications, the types of management and the experience of care in Brazil. A cross-sectional study in twenty hospitals (10 in Federal District, 3 in Rondônia and 7 in Maranhão). For 3 months, all women treated for abortion/miscarriage had their data collected.

Detection of functional diversity gradients and their geoclimatic filters is sensitive to data types (occurrence vs. abundance) and spatial scales (sites vs. regions).

Functional diversity (FD) reflects within- and between-site variation of species traits (α- and β-FD, respectively). Understanding how much data types (occurrence-based vs. abundance-weighted) and spatial scales (sites vs.

Analysis of the demographic profile and influences on the prognosis of COVID-19 treated at a public hospital.

Objectives: The objectives of this retrospective cross-sectional study were to evaluate the demographic profile and aggravating factors in the prognosis of patients with COVID-19 in the years 2020 and 2022.

Methods: From the analysis of medical records, data were collected on age, sex, race, and municipality of residence, as well as dates of onset of symptoms, positive test result and length of hospitalization. Demographic data were analyzed qualitatively, while information on the presence of comorbidities and their influence on length of hospitalization, disease outcome and need for ICU admission were assessed using Pearson's correlation test.