Background: C-reactive protein (CRP) is a marker of inflammation and infection. The main proinflammatory cytokine that leads to CRP gene expression is IL-6. The study aimed to compare CRP level between patients who were treated with Tocilizumab (TCZ), an il-6 receptor blocker, and other advanced anti-inflammatory treatments (AAIT), as well as with other admitted and non-admitted populations.
Methods: A cross-sectional study of all patients (≥18 years) hospitalized at tertiary medical center between December 2009 and February 2020 and treated before hospitalization with (AAIT). Only the first hospitalization of each patient was included. Women admitted to obstetrics department were excluded. Demographic data, first blood tests results, and comorbidities were collected.
Results: The study included 563 patients treated with AAIT (2.5% received TCZ). Patients treated with TCZ were older (median 75 vs. 50 years, p < 0.001), had higher Charlson score (median 5 vs. 1, p < 0.001) and more infectious diseases at admission (50% vs. 23.4%, p = 0.05). Patients treated with TCZ had lower CRP levels (median 0.5 vs. 25 mg/l, p < 0.001) and more common normal values (64.3% vs. 20.8%, p < 0.001) compared to patients treated with other AAIT.CRP level in patients treated TCZ (median 0.5 mg/l) was lower than that of 58,548 patients admitted to the hospital between 2010 and 2020 (median 12.55 mg/l, p < 0.001) and not statistically different from 140 non-admitted randomly selected individuals without acute disease (1.33 mg/l, p = 0.294).
Conclusion: Tocilizumab is associated with lower levels of CRP in patients admitted to acute care hospital. This finding must be considered by treating physician to avoid misinterpretation of CRP results.
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http://dx.doi.org/10.1016/j.heliyon.2023.e16665 | DOI Listing |
Am J Hosp Palliat Care
January 2025
Graduate School of Medicine, Mie University, Tsu, Japan.
Background: Delirium is a condition characterized by an acute and transient disturbance in attention, cognition, and consciousness. It is increasingly prevalent at the end of life in patients with cancer. While non-pharmacological nursing interventions are essential for delirium prevention, their effectiveness in terminally ill patients with cancer remains unclear.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
National Radiotherapy, Oncology and Nuclear Medicine Centre, Korle-bu Teaching Hospital, Accra, Ghana.
Background: Cancer is a leading cause of global mortality, accounting for nearly 10 million deaths in 2020. This is projected to increase by more than 60% by 2040, particularly in low- and middle-income countries. Yet, palliative and psychosocial oncology care is very limited in these countries.
View Article and Find Full Text PDFJ Neurosurg
January 2025
1Department of Neurosurgery, Inselspital, Bern University Hospital, University Bern, Switzerland.
Objective: The effectiveness and optimal stimulation site of deep brain stimulation (DBS) for central poststroke pain (CPSP) remain elusive. The objective of this retrospective international multicenter study was to assess clinical as well as neuroimaging-based predictors of long-term outcomes after DBS for CPSP.
Methods: The authors analyzed patient-based clinical and neuroimaging data of previously published and unpublished cohorts from 6 international DBS centers.
J Neurosurg Pediatr
January 2025
Departments of1Neurosurgery and.
Objective: Intraventricular baclofen (IVB) administration is used for the treatment of secondary dystonia associated with cerebral palsy (CP), but it has not been reported as a first-line infusion technique for spasticity. In this study, the authors report outcomes of patients with mixed or isolated spasticity treated with IVB administration.
Methods: A retrospective analysis was performed of consecutive patients treated with IVB between 2019 and 2023.
J Med Internet Res
January 2025
Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China.
Background: Acute kidney injury (AKI) is a common complication in hospitalized older patients, associated with increased morbidity, mortality, and health care costs. Major adverse kidney events within 30 days (MAKE30), a composite of death, new renal replacement therapy, or persistent renal dysfunction, has been recommended as a patient-centered endpoint for clinical trials involving AKI.
Objective: This study aimed to develop and validate a machine learning-based model to predict MAKE30 in hospitalized older patients with AKI.
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