Emergency department early mortality model for patients admitted after presenting to a tertiary medical center emergency department.

Objectives: Identifying patients in the emergency department (ED) at higher risk for in-hospital mortality can inform shared decision making and goals-of-care discussions. Electronic health record systems allow for integrated multivariable logistic regression (LR) modeling, which can provide early predictions of mortality risk in time for crucial decision making during a patient's initial care. Many commonly used LR models require blood gas analysis values, which are not frequently obtained in the ED.

Managing and Preserving Tattoos During Orthopaedic Surgery.

Orthopaedic surgeons encounter tattoos in surgical fields with an increasing frequency and have the choice of avoiding, disregarding, bordering, or incorporating them into the surgical incisions. This article describes the history and the personal, social, and artistic value of tattoos; the physiology of tattoos and wound healing; the principles of incision planning for optimal cosmesis; and specific considerations when encountering tattoos in the surgical field. It subsequently describes cosmetic outcomes and tattoo-specific complications after surgery and provides a decision tree to help surgeons and patients decide the best approach for individual situations.

Prevalence of visually significant cataract and cataract surgical coverage in Indigenous and non-Indigenous Australians: a systematic review and meta-analysis.

Aims: Compare the prevalence of age-related cataract and the cataract surgical coverage rate between Indigenous and non-Indigenous Australians and explore differences in these estimates across location and time.

Methods: The Joanna Briggs Institute guidance for systematic reviews of prevalence studies was followed. A systematic search of Medline, Embase, Web of Science and grey literature from database inception to June 2022 was performed.

Use of period- or fertility-tracking technologies pre- and post-Dobbs.

Objective: This study aimed to evaluate whether use of period- or fertility-tracking technologies decreased from pre- to post-Dobbs, and to identify user characteristics and changes in reasons for use.

Study Design: We used data from the Surveys of Women, population-based surveys on reproductive health among self-identified women aged 18-44 years, conducted in five states. We compared prevalence of use of period- or fertility-tracking technologies and reasons for use pre-Dobbs (2018-2019 in Iowa and Ohio; 2019-2020 in Arizona, New Jersey, and Wisconsin) and post-Dobbs (2022-2023 in all five states), overall and stratified by state.