Background: While medical complexity is associated with pediatric readmission risk, less is known about how increases in medical complexity during hospitalization affect readmission risk.
Methods: We conducted a five-year retrospective, case-control study of pediatric hospitalizations at a tertiary care children's hospital. Cases with a 30-day unplanned readmission were matched to controls based on admission seasonality and distance from the hospital. Complexity variables included the number of medications prescribed at discharge, medical technology, and the need for home healthcare services. Change in medical complexity variables included new complex chronic conditions and new medical technology. We estimated odds of 30-day unplanned readmission using adjusted conditional logistic regression.
Results: Of 41,422 eligible index hospitalizations, we included 595 case and 595 control hospitalizations. Complexity: Polypharmacy after discharge was common. In adjusted analyses, being discharged with ≥2 medications was associated with higher odds of readmission compared with being discharged without medication; children with ≥5 discharge medications had a greater than four-fold higher odds of readmission. Children assisted by technology had higher odds of readmission compared with children without technology assistance. Change in complexity: New diagnosis of a complex chronic condition (Adjusted Odds Ratio (AOR) = 1.75; 1.11-2.75) and new technology (AOR = 1.84; 1.09-3.10) were associated with higher risk of readmission when adjusting for patient characteristics. However, these associations were not statistically significant when adjusting for length of stay.
Conclusion: Polypharmacy and use of technology at discharge pose a substantial readmission risk for children. However, added technology and new complex chronic conditions do not increase risk when accounting for length of stay.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686738 | PMC |
http://dx.doi.org/10.12788/jhm.3222 | DOI Listing |
Annu Rev Biomed Data Sci
January 2025
1Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, USA;
Cancer remains a leading cause of death globally. The complexity and diversity of cancer-related datasets across different specialties pose challenges in refining precision medicine for oncology. Foundation models offer a promising solution.
View Article and Find Full Text PDFBraz J Biol
January 2025
Near East University, Operational Research Center in Healthcare, Mersin, Turkey.
Leishmaniasis, caused by the Leishmania parasite, remains a persistent public health challenge in Pakistan. Despite control efforts, the disease prevalence continues to rise, particularly among pediatric populations. Understanding prevalence patterns and transmission dynamics is critical for effective control strategies.
View Article and Find Full Text PDFBraz J Biol
January 2025
Operational Research Center in Healthcare, Near East University, Mersin, Turkey.
Hepatitis C virus (HCV) presents a significant global health concern, affecting 3.3% of the world's population. The primary mode of HCV transmission is through blood and blood products.
View Article and Find Full Text PDFBraz J Biol
January 2025
Near East University, Operational Research Center in Healthcare, Mersin, Turkey.
Amidst the ongoing COVID-19 pandemic, the imperative of our time resides in crafting stratagems of utmost precision to confront the relentless SARS-CoV-2 and quell its inexorable proliferation. A paradigm-shifting weapon in this battle lies in the realm of nanoparticles, where the amalgamation of cutting-edge nanochemistry begets a cornucopia of inventive techniques and methodologies designed to thwart the advances of this pernicious pathogen. Nanochemistry, an artful fusion of chemistry and nanoscience, provides a fertile landscape for researchers to craft innovative shields against infection.
View Article and Find Full Text PDFSTAR Protoc
January 2025
School of Life Sciences, Lanzhou University, Lanzhou 730000, Gansu, P.R. China; Key Laboratory of Cell Activities and Stress Adaptations, Ministry of Education, Lanzhou University, Lanzhou 730000, Gansu, P.R. China. Electronic address:
The detailed chromatin assembly processes for many epigenetic regulatory complexes are largely unknown. Here, we present a protocol utilizing heterochromatin-targeting module (HTM) module-mediated chromatin tethering followed by microscopy-based visualization to detect the recruitment priority between two components in Polycomb repressive complex 1 (PRC1). Moreover, we detail procedures for detecting the resultant histone-modifying activities of PRC1 using immunofluorescence (IF) analyses.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!