A monosomal karyotype (MK), defined as ≥2 autosomal monosomies or a single monosomy in the presence of additional structural abnormalities, was recently identified as an independent prognostic factor conveying an extremely poor prognosis in patients with acute myeloid leukemia (AML). In the present study, after excluding patients with t(15;17), t(8;21), inv(16) and normal karyotypes, 324 AML patients with cytogenetic abnormalities were the main subject of analysis. The incidences of MK were 13% in patients aged 15 to 60 years and 18% in those between 15 and 88 years old. MK was much more prevalent among elderly patients (p<0.001) and was significantly associated with the presence of -7, -5, del(5q), abn12p, abn17p, -18 or 18q-, -20 or 20q- and CK (for all p<0.001 except for abn12p p=0.009), and +8 or +8q was less frequent in MK+ AML(p=0.007). No correlation was noted between monosomal karyotype and FAB subtype (p>0.05); MK remained significantly associated with worse overall survival among patients with complex karyotype (p=0.032); A single autosomal monosomy contributed an additional negative effect in OS of patients with structural cytogenetic abnormalities (P=0.008). This report presents the prevalence, feature and prognostic impact of MK among a large series of Chinese AML patients from a single center for the first time.
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http://dx.doi.org/10.7314/apjcp.2012.13.11.5421 | 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 PDFJ 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.
Retin Cases Brief Rep
December 2024
Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, MN, USA.
Purpose: To report the clinical presentation, treatment course, and outcome of a case of bilateral frosted branch angiitis (FBA) and neuroretinitis associated with acute Epstein-Barr virus (EBV) infection in a pediatric patient with Turner Syndrome.
Methods: Case report with multimodal ocular imaging and extensive systemic workup.
Results: A 16-year-old female with Turner syndrome presented with acute bilateral vision loss, hearing loss, and ataxia.
PLoS One
January 2025
Department of Reproductive Health, College of Medical and Health Sciences, Dilla University, Dilla, Ethiopia.
Background: Severe acute malnutrition (SAM) is a severe condition causing bilateral pitting edema or signs of wasting in children, with a high mortality risk. An outpatient therapeutic program is recommended for managing SAM children without complications, but there is limited information on recovery time and its determinants.
Objective: This study aims to assess the time to recovery and its predictors among children aged 6-59 months with SAM admitted to the Outpatient therapeutic program in the Borena zone, Oromia region, Southern Ethiopia in 2023.
PLoS One
January 2025
Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Müunster, Müunster, Germany.
Objective: Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series, requires researchers to implement classification algorithms of their own which is resource intensive and might impact study quality by introducing different interpretations of edge cases. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation.
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