Background Persistent Staphylococcus aureus bacteremia (SAB) is defined based on varying duration in literature. The primary objective was to determine the risk of poor outcomes in relation to bacteremia duration. Methods Multicenter, prospective, observational study of adult hospitalized patients with SAB. Medical records were reviewed for pertinent data. Patients were grouped by bacteremia duration: short (1–2 days), intermediate (3–6 days), and prolonged (≥7 days) and compared for risk factors and outcomes. Results Of 884 patients, 63% had short, 28% intermediate, and 9% prolonged bacteremia. Overall mean age was 57 years, and 70% were male. The prolonged group had the highest proportion of methicillin-resistant SAB (P < .0001). Choice of antibiotic therapy did not significantly affect bacteremia duration; however, time to source-control procedure was delayed in the prolonged and intermediate groups compared with the short group (3.5 vs 3 vs 1 day, P < .0001). Metastatic complications, length of stay, and 30-day mortality were progressively worse as bacteremia duration increased (P < .0001). Every continued day of bacteremia was associated with a relative risk of death of 1.16 (95% confidence interval, 1.10–1.22; P < .0001), with a significant increase in risk starting at 3 days as determined by receiver operating characteristic analysis. Conclusions Optimal management of SAB should target bacterial clearance as soon as possible to minimize incremental risk of mortality with each day of positive blood culture. Delay in source control but not type of antistaphylococcal therapy was significantly associated with prolonged bacteremia and worse outcomes.
This paper examines how features extracted from full-day data recorded by wearable sensors are able to differentiate between infants with typical development and those with or at risk for developmental delays. Wearable sensors were used to collect full-day (8–13 h) leg movement data from infants with typical development (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$n=12$ \end{document}) and infants at risk for developmental delay (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$n = 24$ \end{document}). At 24 months, at-risk infants were assessed as having good (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$n = 10$ \end{document}) or poor (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$n = 9$ \end{document}) developmental outcomes. With this limited size dataset, our statistical analysis indicated that accelerometer features collected earlier in infancy differentiated between at-risk infants with poor and good outcomes at 24 months, as well as infants with typical development. This paper also tested how these features performed on a subset of the data for which the infant movement was known, i.e., 5-min intervals more representative of clinical observations. Our results on this limited dataset indicated that features for full-day data showed more group differences than similar features for the 5-min intervals, supporting the usefulness of full-day movement monitoring.
Introduction: Studies show that home-based palliative care (HBPC) improves participant outcomes and satisfaction with care while also decreasing hospitalizations and emergency department visits. U.S. health care payment reforms create financial opportunities to offer HBPC. Consequently, more HBPC programs are emerging, heightening the need to evaluate their effectiveness. Methods: This randomized, controlled trial is comparing the effectiveness of an evidence-based model of HBPC and enhanced usual primary care for participants who receive primary care from medical groups and clinics organized under an accountable care organization or Medicare Advantage plan. Palliative care services are reimbursed by our partnering health plan provider. The five-year trial will enroll 1155 seriously ill participants (and *884 of their caregivers) with heart failure, chronic obstructive pulmonary disease, or advanced cancer. We are collecting data via telephone surveys with participants at baseline and one and two months postenrollment and with caregivers at baseline, one and two months postenrollments, and following the death of a loved one. We are collecting participant-reported outcome measures of pain, symptoms, anxiety, depression, participant-provider communication, and hope. Caregiver outcome measures include caregiver burden, communication with providers, anxiety, and depression. Additional outcomes are participant survival time and participants' emergency department visits and hospitalizations. Study Implementation: Challenges and Contributions: Our research team has encountered several significant challenges in early study implementation. These include engaging primary care providers in the study and coordinating logistics with a health plan. Both challenges have contributed to a lag in participant enrollment. Despite these challenges, our study holds tremendous promise to accelerate adoption and spread of an evidencebased HBPC model across the country.
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