Self-confidence as a mediator in the relationship between executive functioning and depression among ICU survivors: a latent variable analysis.

Background: Executive dysfunction and depression are common among ICU survivors, yet the mechanisms linking these two factors remain poorly understood. Self-confidence has been implicated as a key mediator in the relationship between cognitive impairments and mental health outcomes. This study aimed to explore the mediating role of self-confidence in the association between executive functioning and depression in ICU survivors.

ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden.

Background: A prediction model that estimates mortality at admission to the intensive care unit (ICU) is of potential benefit to both patients and society. Logistic regression models like Simplified Acute Physiology Score 3 (SAPS 3) and APACHE are the traditional ICU mortality prediction models. With the emergence of machine learning (machine learning) and artificial intelligence, new possibilities arise to create prediction models that have the potential to sharpen predictive accuracy and reduce the likelihood of misclassification in the prediction of 30-day mortality.

COVID-19 related change in breast cancer diagnosis, stage, treatment, and case volume: 2019-2021.

Purpose: Evaluate the COVID-19 pandemic impact on breast cancer detection method, stage and treatment before, during and after health care restrictions.

Methods: In a retrospective tertiary cancer care center cohort, first primary breast cancer (BC) patients, years 2019-2021, were reviewed (n = 1787). Chi-square statistical comparisons of detection method (patient (PtD)/mammography (MamD), Stage (0-IV) and treatment by pre-pandemic time 1: 2019 + Q1 2020; peak-pandemic time 2: Q2-Q4 2020; pandemic time 3: Q1-Q4 2021 (Q = quarter) periods and logistic regression for odds ratios were used.

Persistence of patient-detected breast cancer over time: 1990-2019.

Background: The continued presentation of patient-detected breast cancer (BC) and associated characteristics over time is understudied.

Methods: In a large institutional cohort of first primary stage 0-IV patients with BC in 1990-2019 (n = 15,827), diagnostic method (patient-detected [PtDBC] [n = 5844]; mammography-detected [MamDBC] [nondiagnostic] [n = 9248]; and physician-detected [PhysDBC] [n = 736]) and patient and tumor characteristics including age, race, TNM stage, and hormone-receptor status were reviewed. Pearson χ tests for bivariate comparisons and logistic regression for patient detection-associated factors were used.