Purpose: Dialysis patients frequently have comorbid conditions. We examined the effects of age and comorbid conditions on technique failure (i.e., transfer to hemodialysis), death, hospital costs, and kidney transplantation in patients treated with peritoneal dialysis.
Methods: We studied 97 patients who began peritoneal dialysis from January 1, 1993, to December 31, 1998, at the University of Pittsburgh outpatient dialysis unit. Demographic characteristics, comorbid conditions, and outcomes were determined by reviewing the Medical Archival Retrieval System database and outpatient records. Because the comorbidity (Charlson) score was colinear with age, we used a modified version of the score without an age component. Low, moderate, and high comorbidity groups were defined based on the 33rd and 66th percentiles of the comorbidity score.
Results: In multivariate-adjusted models, each decade increase in age was associated with an increased risk of death (hazard ratio [HR] = 1.7; 95% confidence interval [CI]: 1.1 to 2.5) and technique failure (HR = 1.5; 95% CI: 1.0 to 2.3). High (versus low) comorbidity was associated with an increased risk of death or technique failure (HR = 3.5; 95% CI: 1.0 to 12) and significantly higher average inpatient costs. There were no differences in age or comorbidity score between patients who transferred to hemodialysis and those who died.
Conclusion: Patients who are older and more ill have a greater risk of death and of transfer to hemodialysis from peritoneal dialysis.
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http://dx.doi.org/10.1016/s0002-9343(02)01097-5 | DOI Listing |
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
Division of Nursing, Midwifery and Social Work, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.
Background: To address the growing demand for psychological treatment, healthcare providers are increasingly utilising low-intensity interventions, characterised by reduced practitioner contact and emphasis on independent patient engagement with therapeutic materials through between-session work (BSW). While BSW is critical for maximising treatment outcomes, patients and practitioners report challenges with its completion. Research identifying factors influencing between-session engagement in Cognitive Behavioural Therapy (CBT) has largely focused on high-intensity CBT, limiting understanding within low-intensity contexts.
View Article and Find Full Text PDFBioDrugs
January 2025
Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Background: Psoriatic arthritis (PsA) is a common comorbidity in patients with psoriasis (PsO) that leads to significant disease burden. Biologic therapies targeting the interleukin (IL)-23/IL-17 axis have been widely used for PsO, but their comparative effectiveness in preventing PsA remains unclear.
Objective: The study objective was to compare the occurrence of developing incidental PsA among PsO patients treated with interleukin-23 inhibitors (IL23is) or interleukin-17 inhibitors (IL17is).
Nat Rev Gastroenterol Hepatol
January 2025
Takeda Pharmaceuticals, Cambridge, MA, USA.
Coeliac disease is an autoimmune disease characterized by small intestinal villus atrophy and inflammation upon exposure to gluten. It has a global prevalence of approximately 1%. Although the gluten-free diet can be an effective treatment, this diet is burdensome with practical difficulties and frequent inadvertent gluten exposure.
View Article and Find Full Text PDFNPJ Prim Care Respir Med
January 2025
Department of Orthopaedics, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
The coronavirus disease 2019 (COVID-19) epidemic has brought major challenges to the global health system, and influenza is also a problem that cannot be ignored. We aimed to explore and compare the clinical characteristics of COVID-19 and influenza to deepen the understanding of these two diseases and provide some guidance for clinicians to make differential diagnoses. We searched PubMed, Embase and Web of Science for articles and performed a meta-analysis using Stata 14.
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