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http://dx.doi.org/10.1016/j.gastha.2024.04.009 | DOI Listing |
Pediatr Infect Dis J
January 2025
Cardiovascular Surgery, Gunma Children's Medical Center, Gunma, Japan.
Background: Surgical site infection (SSI) is a significant complication following pediatric cardiovascular surgery. Although drain tip cultures (DTC) are sometimes used postoperatively to predict SSIs, their diagnostic value in pediatric cardiovascular surgery remains unclear. This study aimed to assess the diagnostic utility of DTC for predicting SSIs in pediatric cardiovascular surgery patients.
View Article and Find Full Text PDFJ Bone Joint Surg Am
January 2025
Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
Background: The relative advantages and disadvantages of 2-stage versus 1-stage management of infection following total hip arthroplasty (THA) are the current subject of intense debate. To understand the merits of each approach, detailed information on the short and, importantly, longer-term outcomes of each must be known. The purpose of the present study was to assess the long-term results of 2-stage exchange arthroplasty following THA in one of the largest series to date.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Archaeology and Heritage Studies, Aarhus University, Aarhus, Denmark.
Resilience-the ability of socio-ecological systems to withstand and recover from shocks-is a key research and policy focus. Definitions of resilience differ between disciplines, however, and the term remains inadequately operationalized. Resilience is the outcome of variable behavioral decisions, yet the process itself and the strategies behind it have rarely been addressed quantitatively.
View Article and Find Full Text PDFDiabetes Care
January 2025
Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.
Objective: We derive and validate D-RISK, an electronic health record (EHR)-driven risk score to optimize and facilitate screening for undiagnosed dysglycemia (prediabetes + diabetes) in clinical practice.
Research Design And Methods: We used retrospective EHR data (derivation sample) and a prospective diabetes screening study (validation sample) to develop D-RISK. Logistic regression with backward selection was used to predict dysglycemia (HbA1c ≥5.
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