Health symptoms and cosmetic silicone breast implants: A retrospective cohort study.

Background: There has been a growing concern about a possible causal relationship between silicone breast implants (SBIs) and health symptoms, referred to as breast implant illness. This study assessed the association between SBIs for cosmetic augmentation and health symptoms.

Methods: This retrospective cohort study used the data from the Dutch Breast Implant Registry and Nivel Primary Care Database.

Kupffer cell reverse migration into the liver sinusoids mitigates neonatal sepsis and meningitis.

In adults, liver-resident macrophages, or Kupffer cells (KCs), reside in the sinusoids and sterilize circulating blood by capturing rapidly flowing microbes. We developed quantitative intravital imaging of 1-day-old mice combined with transcriptomics, genetic manipulation, and in vivo infection assays to interrogate increased susceptibility of newborns to bloodstream infections. Whereas 1-day-old KCs were better at catching in vitro, we uncovered a critical 1-week window postpartum when KCs have limited access to blood and must translocate from liver parenchyma into the sinusoids.

Volumetric evaluation of autologous fat transfer for total breast reconstruction.

Background: Reconstructive surgeons have shifted from correcting contour irregularities using autologous fat transfer (AFT) toward reconstructing full breasts. Although several studies have researched the volumetric aspects of AFT, some outcomes such as volume retention, viability, and possible confounders for graft survival, remain unclear. This study aimed to answer these questions.

Data quality assessment of the Dutch Breast Implant Registry by automated data verification using medical billing data.

Background: The Dutch Breast Implant Registry (DBIR) provides real-time population-based data to monitor and improve the quality and safety of breast implants and to trace patients in the event of an (inter)national recall. To serve these main goals, the capture rate and percentage of implants that are actually registered should be known and data should be complete. This study aimed to describe an automated verification process for capture rates and data completeness using medical billing data as the external source.