RESUMEN
BACKGROUND AND OBJECTIVES: Patients with thalassaemia experience complications related to iron overload. In Australia currently, the two main options for iron chelation are deferasirox and deferoxamine. Optimal iron chelation using monotherapy can be limited due to toxicity or tolerability. Dual chelation therapy (DCT) may provide more aggressive iron chelation. MATERIAL AND METHODS: A retrospective, observational study was performed on a state-wide referral centre for patients receiving red cell transfusions for haemoglobinopathies (Monash Health, Australia). All patients prescribed DCT were identified using a local pharmacy dispensing database and were included in the study. Pre-DCT initiation and post-DCT completion were correlated with serum ferritin, cardiac iron loading (based on MRI T2* measurements) and liver iron content (LIC) using Wilcoxon signed-rank test. RESULTS: A total of 18 patients (12 adults, 6 children) were identified as receiving DCT. All patients received a combination of deferasirox and deferoxamine. The median duration of therapy was 23 months (range 2-73). Median serum ferritin reduced by 42% (p = 0.004) and there was a 76% reduction in LIC (p = 0.062). No significant changes were seen in cardiac iron loading. CONCLUSION: DCT over a prolonged period is effective at reducing serum ferritin and may contribute to improvement in liver iron loading.
Asunto(s)
Sobrecarga de Hierro , Talasemia beta , Adulto , Benzoatos/uso terapéutico , Terapia por Quelación/efectos adversos , Niño , Deferasirox/uso terapéutico , Deferoxamina/uso terapéutico , Ferritinas , Humanos , Hierro/uso terapéutico , Quelantes del Hierro/uso terapéutico , Sobrecarga de Hierro/tratamiento farmacológico , Sobrecarga de Hierro/etiología , Estudios Retrospectivos , Triazoles/uso terapéutico , Talasemia beta/complicaciones , Talasemia beta/tratamiento farmacológicoRESUMEN
ResumenEl objetivo de este artículo es investigar el posible papel desempeñado por los teléfonos móviles como depósitos de colonización bacteriana y los factores de riesgo que ésta conlleva en un ambiente hospitalario. Entre enero de 2013 y marzo de 2014 examinamos a 226 miembros del personal de un hospital regional de Australia (146 médicos y 80 estudiantes de medicina). Los principales resultados de interés se relacionaron con los tipos de microorganismos y la cantidad de contaminación encontrados en los teléfonos móviles. Este estudio mostró la existencia de un alto nivel de contaminación bacteriana (n = 168/226, 74%) en los teléfonos móviles de los funcionarios de un hospital de atención terciaria, aislándose organismos similares en la mano dominante del personal y en sus teléfonos móviles. Mientras que la mayoría de los organismos aislados pertenecía a la flora cutánea normal, un pequeño porcentaje era potencialmente patógeno (n = 12/226, 5%). Además, se encontró que ser miembro subalterno del personal médico constituía un factor de riesgo para un importante crecimiento microbiano (OR 4.00, 95% CI 1.54, 10.37). Sólo 31% (70/226) de los participantes en el estudio informó que limpiaba sus teléfonos regularmente y sólo 21% (47/226) reportó que usa toallitas con alcohol para la limpieza de su teléfono. Este estudio demuestra que los teléfonos móviles son potenciales vehículos de bacterias patógenas en un ambiente hospitalario. Sólo una minoría de participantes informó que limpia su teléfono regularmente. Deberían elaborarse y aplicarse directrices de desinfección utilizando toallitas con alcohol.
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Estudios Retrospectivos , AustraliaRESUMEN
The objective of this article is to investigate the potential role of mobile phones as a reservoir for bacterial colonization and the risk factors for bacterial colonization in a hospital setting. We screened 226 staff members at a regional Australian hospital (146 doctors and 80 medical students) between January 2013 and March 2014. The main outcomes of interest were the types of microorganisms and the amount of contamination of the mobile phones. This study found a high level of bacterial contamination (n = 168/226, 74%) on the mobile phones of staff members in a tertiary hospital, with similar organisms isolated from the staff member's dominant hand and mobile phones. While most of the isolated organisms were normal skin flora, a small percentage were potentially pathogenic (n = 12/226, 5%). Being a junior medical staff was found to be a risk factor for heavy microbial growth (OR 4.00, 95% CI 1.54, 10.37). Only 31% (70/226) of our participants reported cleaning their phones routinely, and only 21% (47/226) reported using alcohol containing wipes on their phones. This study demonstrates that mobile phones are potentially vehicles for pathogenic bacteria in a hospital setting. Only a minority of our participants reported cleaning their phones routinely. Disinfection guidelines utilizing alcohol wipes should be developed and implemented.
Asunto(s)
Alcoholes , Bacterias/aislamiento & purificación , Infecciones Bacterianas/prevención & control , Teléfono Celular , Infección Hospitalaria/prevención & control , Desinfectantes , Fómites/microbiología , Mano/microbiología , Australia , Bacterias/clasificación , Infecciones Bacterianas/microbiología , Infecciones Bacterianas/transmisión , Recuento de Colonia Microbiana , Infección Hospitalaria/microbiología , Infección Hospitalaria/transmisión , Sistemas de Liberación de Medicamentos , Femenino , Humanos , Masculino , Cuerpo Médico de Hospitales , Factores de Riesgo , Estudiantes de Medicina , Centros de Atención TerciariaRESUMEN
Classic Hodgkin lymphoma (cHL) prognostication primarily relies on clinical and radiological factors. Despite this, a subset of patients still progress. Immunohistochemistry (IHC) based biomarkers on diagnostic tissue have not been routinely used for prognostication. A multicentre retrospective analysis identified 62 patients with cHL. IHC on diagnostic tissues was used to stain Reed-Sternberg cells (RS) cells for STAT1, pSTAT3, p53 and tumour microenvironment for CD68 and PD-1. IHC stains were scored by anatomical pathologists blinded to patients and their outcomes and correlated with survival. Strong intensity of STAT1 and pSTAT3 staining correlated with improved overall survival (OS), with hazard ratios (HR) of 0.21 [95% confidence interval (CI) 0.06-0.76] and 0.22 (95% CI 0.06-0.84), respectively. Similarly, the median OS for weak versus strong STAT1 or pSTAT3 staining was 8.8 years versus not reached. Other IHC stains did not correlate with prognosis. In this cohort of cHL patients, downregulation of immunohistochemical STAT1 or pSTAT3 in RS cells is associated with inferior OS, suggesting STAT transcription within the pathognomonic RS cells may have tumour suppressor function and may be a potential biomarker for cHL prognosis.