Association of Area Deprivation Index With Mortality in Critically Ill Adults With COVID-19.

Background: Various social determinants of health have been established as significant risk factors for COVID-19 transmission, prevalence, incidence, and mortality. Area deprivation index (ADI, a composite score made up of educational, housing, and poverty markers) is an accepted multidimensional social determinants of health measure. Little is known about how structural social determinants of health before hospitalization, including ADI, may affect mortality related to COVID-19 in critically ill patients.

ICU outcomes following a Central Line Associated Blood Stream Infections (CLABSI) reduction quality improvement project.

Background: Central Line Associated Blood Stream Infections (CLABSI) are significant complications for hospitalized patients. Several different approaches have been used to reduce CLABSI.

Objective: This study aimed to (1) describe a systematic approach used to analyze and reduce CLABSI rates in a surgical ICU (SICU) at a quaternary care medical facility (CLABSI reduction bundle) and (2) examine the association of the bundle on CLABSI rates in the SICU, compared to six unexposed health system ICUs.

A Clinician's Guide to Understanding Bias in Critical Clinical Prediction Models.

This narrative review focuses on the role of clinical prediction models in supporting informed decision-making in critical care, emphasizing their 2 forms: traditional scores and artificial intelligence (AI)-based models. Acknowledging the potential for both types to embed biases, the authors underscore the importance of critical appraisal to increase our trust in models. The authors outline recommendations and critical care examples to manage risk of bias in AI models.

Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?

Analysis of pulmonary function tests (PFTs) is an area where machine learning (ML) may benefit clinicians, researchers, and the patients. PFT measures spirometry, lung volumes, and carbon monoxide diffusion capacity of the lung (DLCO). The results are usually interpreted by the clinicians using discrete numeric data according to published guidelines.