The purpose of this retrospective study was to investigate clinical features and treatment outcomes in patients with peripheral T cell lymphoma-unspecified (PTCL-U). Eighty-four patients who were diagnosed with PTCL-U between February 1995 and December 2005 were included in the study. Around 70% of the patients presented with stage III-IV disease; 24% were categorized as high or high-intermediate risk according to the International Prognostic Index (IPI) scoring system, and 45% were classified as groups 3 or 4 using the Prognostic Index for PTCL-U (PIT). Extranodal involvement was found in 51 of 85 patients (60%). Most of the initial chemotherapy regimens were anthracycline-based (75%). The overall response rates for patients treated with initial chemotherapy and salvage chemotherapy were 63.1% (52.6% of complete response (CR), 10.5% of partial response (PR)) and 35% (9% of CR, 26%of PR), respectively. The median progression-free survival and overall survival of all patients were 17.1 months (95% CI, 0.0-40.5) and 35.5 months (95% CI, 1.2-69.8), respectively. Poor performance status, the presence of B symptoms, IPI scores >or=3 and PIT class >or=2 were predictive prognostic factors for survival.
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http://dx.doi.org/10.1007/s00277-008-0544-2 | DOI Listing |
J Infect Dev Ctries
December 2024
Chest Dpt., Ahmed Maher Teaching Hospital, GOTHI, Cairo, Egypt.
Introduction: The present study aimed to explore the epidemiologic threats and factors associated with the coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) epidemic that emerged in Egypt during the second COVID-19 wave. The study also aimed to explore the diagnostic features and the role of surgical interventions of CAM on the outcome of the disease in a central referral hospital.
Methodology: The study included 64 CAM patients from a referral hospital for CAM and a similar number of matched controls from COVID-19 patients who did not develop CAM.
J Infect Dev Ctries
December 2024
Nephrology Department, UHC Mother Tereza, Tirane, Albania.
Introduction: Acute kidney injury involves inflammation and intrinsic renal damage, and is a common complication of severe coronavirus disease 2019 (COVID-19). Baseline chronic kidney disease (CKD) confers an increased mortality risk. We determined the renal long-term outcomes of COVID-19 in patients with baseline CKD, and the risk factors prompting renal replacement therapy (RRT) initiation and mortality.
View Article and Find Full Text PDFJ Med Case Rep
January 2025
Department of Dermatology and Venereology, Faculty of Medicine, University of Aleppo, Aleppo, Syria.
Background: Basal cell nevus syndrome, also known as Gorlin or Gorlin-Goltz syndrome, is a hereditary condition caused by mutation in the PATCHED gene. The syndrome presents with a wide range of clinical manifestations, including basal cell carcinomas, jaw cysts, and skeletal anomalies. Diagnosis is based on specific criteria, and treatment typically includes surgical removal of basal cell carcinomas.
View Article and Find Full Text PDFClin Epigenetics
January 2025
Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Alcohol consumption is an important risk factor for multiple diseases. It is typically assessed via self-report, which is open to measurement error through recall bias. Instead, molecular data such as blood-based DNA methylation (DNAm) could be used to derive a more objective measure of alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Graduate School of Data Science, Seoul National University, Seoul, Republic of Korea.
Polysomnography (PSG) is crucial for diagnosing sleep disorders, but manual scoring of PSG is time-consuming and subjective, leading to high variability. While machine-learning models have improved PSG scoring, their clinical use is hindered by the 'black-box' nature. In this study, we present SleepXViT, an automatic sleep staging system using Vision Transformer (ViT) that provides intuitive, consistent explanations by mimicking human 'visual scoring'.
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