Background: The introduction of reduced respiratory care may lead to worse long-term outcomes for patients undergoing prolonged mechanical ventilation (PMV) for more than 21 days. The objective of this study was to determine the survival for an integrated system of reduced intensive respiratory care (ISRIRC) by the Taiwan Bureau of National Health Insurance, in patients requiring PMV.
Methods: A 10-year retrospective study was performed in a 1,000-bed teaching hospital in Taiwan. A total of 633 consecutive PMV patients transferred from the hospital between 1998 and 2007 were enrolled. Medical records were reviewed to collect the clinical data, which were linked to the National Death Certification Database to ascertain subject survival. Kaplan-Meier estimates were performed, and a Cox proportional hazards model was constructed. We further conducted a corroboration study and retrieved a systematically randomized nationwide sample of PMV subjects with combined septicemia and shock, and compared the survival functions of those who were treated before and after the integrated system, including 228 and 2,677 subjects, respectively.
Results: The survival rates at 3 months, 6 months, and 1 year were 60.0%, 44.0%, and 30.0%, respectively. The 1-year survival rates of the subjects before and after ISRIRC were 21.0% and 37.2%, respectively (P = .04). The factors associated with better survival were younger age, absence of cirrhosis, and establishment of the ISRIRC. A comparison of the 4-year survival in the larger random sample of PMV subjects with combined septicemia and shock before and after ISRIRC also showed a significant improvement.
Conclusions: With the improvement of PMV technology in the early 2000s, the establishment of ISRIRC seems to be associated with an improved survival rate for subjects under PMV.
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http://dx.doi.org/10.4187/respcare.01530 | DOI Listing |
BMC Health Serv Res
January 2025
Pain Research Unit, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, Toronto, ON, Canada.
Evidence-based treatment of chronic pain requires a multidisciplinary approach grounded in the biopsychosocial model. Implementing this approach within health systems relies on its acceptance by both healthcare providers and patients. While pioneering multidisciplinary pain clinics can serve as a model for implementation, a systematic effort is needed to share knowledge effectively and broadly.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Laboratory of Neurogenetics and Molecular Medicine, Center for Genomic Sciences in Medicine, Institut de Recerca Sant Joan de Déu, Únicas SJD Center, Hospital Sant Joan de Déu, Barcelona, Spain.
Background: Rare diseases (RDs) are a heterogeneous group of complex and low-prevalence conditions in which the time to establish a definitive diagnosis is often too long. In addition, for most RDs, few to no treatments are available and it is often difficult to find a specialized care team.
Objectives: The project "acERca las enfermedades raras" (in English: "bringing RDs closer") is an initiative primary designed to generate a consensus by a multidisciplinary group of experts to detect the strengths and weaknesses in the public healthcare system concerning the comprehensive care of persons living with a RD (PLWRD) in the region of Catalonia, Spain, where a Network of Clinical Expert Units (Xarxa d'Unitats de Expertesa Clínica or XUEC) was created and is being implemented since 2015.
Background: Drivers of COVID-19 severity are multifactorial and include multidimensional and potentially interacting factors encompassing viral determinants and host-related factors (i.e., demographics, pre-existing conditions and/or genetics), thus complicating the prediction of clinical outcomes for different severe acute respiratory syndrome coronavirus (SARS-CoV-2) variants.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
The current DSM-oriented diagnostic paradigm has introduced the issue of heterogeneity, as it fails to account for the identification of the neurological processes underlying mental illnesses, which affects the precision of treatment. The Research Domain Criteria (RDoC) framework serves as a recognized approach to addressing this heterogeneity, and several assessment and translation techniques have been proposed. Among these methods, transforming RDoC scores from electronic medical records (EMR) using Natural Language Processing (NLP) has emerged as a suitable technique, demonstrating clinical effectiveness.
View Article and Find Full Text PDFNPJ Syst Biol Appl
January 2025
Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Cancer-associated fibroblasts (CAFs) play a key role in metabolic reprogramming and are well-established contributors to drug resistance in colorectal cancer (CRC). To exploit this metabolic crosstalk, we integrated a systems biology approach that identified key metabolic targets in a data-driven method and validated them experimentally. This process involved a novel machine learning-based method to computationally screen, in a high-throughput manner, the effects of enzyme perturbations predicted by a computational model of CRC metabolism.
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