Introduction: Advanced age is thought to be associated with increased mortality in critically ill patients. This report reviews available data on factors that determine outcome, on the value of prognostic models, and on preferences regarding life-sustaining treatments in (very) elderly intensive care unit (ICU) patients.
Methods: We searched the Medline database (January 1966 to January 2005) for English language articles. Selected articles were cross-checked for other relevant publications.
Results: Mortality rates are higher in elderly ICU patients than in younger patients. However, it is not age per se but associated factors, such as severity of illness and premorbid functional status, that appear to be responsible for the poorer prognosis. Patients' preferences regarding life-sustaining treatments are importantly influenced by the likelihood of a beneficial outcome. Commonly used prognostic models have not been calibrated for use in the very elderly. Furthermore, they do not address long-term survival and functional outcome.
Conclusion: We advocate the development of new prognostic models, validated in elderly ICU patients, that predict not only survival but also functional and cognitive status after discharge. Such a model may support informed decision making with respect to patients' preferences.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1269437 | PMC |
http://dx.doi.org/10.1186/cc3536 | DOI Listing |
J Bone Joint Surg Am
November 2024
Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, NY.
Background: An accurate knowledge of a patient's risk of cord-level intraoperative neuromonitoring (IONM) data loss is important for an informed decision-making process prior to deformity correction, but no prediction tool currently exists.
Methods: A total of 1,106 patients with spinal deformity and 205 perioperative variables were included. A stepwise machine-learning (ML) approach using random forest (RF) analysis and multivariable logistic regression was performed.
J Bone Joint Surg Am
November 2024
Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Background: Fractures of the thoracic and lumbar spine are increasingly common. Although it is known that such fractures may elevate the risk of near-term morbidity, the natural history of patients who sustain such injuries remains poorly described. We sought to characterize the natural history of patients treated for thoracolumbar fractures and to understand clinical and sociodemographic factors associated with survival.
View Article and Find Full Text PDFJ Bone Joint Surg Am
November 2024
Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
Background: Risk factors for gluteal tears include age-related deterioration, female sex, and increased body mass index. As the literature that supports the sagittal relationship between the lumbar spine and the hip is increasing, there may be a parallel relationship between the perturbations in spinopelvic alignment caused by lumbar spine disease and gluteal muscle tears. Because no prior studies other than single-institution series have reported on this phenomenon, we investigated spine-abductor syndrome at the population level.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
January 2025
Department of Clinical Science and Education, Division of Cardiology, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden.
Aims: The REDUCE-AMI trial showed that beta-blockers in patients with preserved left ventricular ejection fraction (LVEF) after acute myocardial infarction (AMI) had no effect on mortality or cardiovascular outcomes. The aim of this substudy was to evaluate whether global longitudinal strain (GLS) is a better prognostic marker than LVEF, and if beta-blockers have a beneficial effect in patients with decreased GLS.
Methods And Results: REDUCE-AMI was a registry-based randomized clinical trial.
Brain
January 2025
U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team; INSERM, University of Caen Normandy; GIP Cyceron, 14000 Caen, France.
Curing Alzheimer's disease remains hampered by an incomplete understanding of its pathophysiology and progression. Exploring dysfunction in medial temporal lobe networks, particularly the anterior-temporal (AT) and posterior-medial (PM) systems, may provide key insights, as these networks exhibit functional connectivity alterations along the entire Alzheimer's continuum, potentially influencing disease propagation. However, the specific changes in each network and their clinical relevance across stages are not yet fully understood.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!