The expression pattern of SSTR2 and the specificity of the Octreoscan for regions of active tumor growth support further investigation of the utility of Octreoscan imaging in the diagnosis and surveillance of ENB. Recent advances in novel therapies based on SSTR ligand binding also provide the rationale to consider such novel therapeutic approaches in patients with ENB.
Healthcare-associated infections, also known as nosocomial infections, which affect patients in a hospital or healthcare facility and were not present or incubating at the time of admission, [1] are among the main patient safety challenges in healthcare facilities. [2] They can be defined as an infection that develops 48 hours after hospital admission or within 48 hours after discharge. [3] In spite of improvements in healthcare, nosocomial infections continue and can be acquired anywhere healthcare is delivered, including inpatient acute-care hospitals, outpatient settings such as ambulatory surgical centres, end-stage renal disease facilities, and long-term care facilities such as nursing homes and rehabilitation centres. The development of nosocomial infections is dependent on two key pathophysiological factors: decreased host defences and colonisation by pathogenic or potentially pathogenic organisms. [4] A survey published by the New England Journal of Medicine (cited in Becker's Clinical Leadership and Infection Control [5]) provides important insight for healthcare providers in their efforts to combat infections, reporting prevalence of the five commonest recorded nosocomial infections as follows: pneumonia 21.8% of all healthcare-associated infections; surgical site infection (SSI) 21.8%; gastrointestinal infection 17.1%; urinary tract infection 12.9%; and primary bloodstream infection 9.9%. It is estimated that ~1 in 7 patients entering South African (SA) hospitals is at high risk of acquiring a nosocomial infection. [6] Neurosurgical patients are particularly vulnerable because of the serious nature of their illnesses, the frequency of associated trauma, and the presence of invasive devices. Neurosurgeons treat conditions such as aneurysms, stroke, epilepsy, meningitis, traumatic brain injury, spinal cord injury and brain tumours, all of which predispose patients to fungal, viral and bacterial infections. A study conducted in Pretoria, SA, reported that the incidence of ventriculitis reached 28.3% among paediatric neurosurgical patients. [7] Objectives Nelson Mandela Academic Hospital (NMAH) in Mthatha, like many hospitals in SA, [7] faces high rates of nosocomial infections. The present study sought to determine the aetiology and incidence of these infections following neurosurgical procedures, as well as the associated risk factors. Methods This was a descriptive cross-sectional study. Patients were enrolled from 1 October 2013 to 30 September 2014. All inpatients who had had a neurosurgical procedure at NMAH during the study period were included in the study if their medical and laboratory records were accurate, legible and complete. Medical records were accessed in the Department of Neurosurgery at NMAH where patients were admitted, while laboratory records were obtained from the Department of Medical Microbiology at the National Health This open-access article is distributed under Creative Commons licence CC-BY-NC 4.0.
The objective of this study was to identify important biomarker differences between absence of HM and expected morphopathologic types of HM. A retrospective analysis study of adult patients aged ≥ 20 years was managed by cytologic aspects such as normal myelogram vs. HM types between 2009 and 2015. Out of 105 patients, 63 (60%) experienced incident HM while 42, 14, 18, 10, 10, 6, and 5 patients had normal myelogram, multiple myeloma (MM), acute myeloid leukaemia (AML), myelodysplastic syndromes (MDS), chronic myeloid leukaemia (CML), acute myeloid leukaemia (CLL) and acute lymphoid leukaemia (ALL), respectively. In Discriminant Analysis (DA), only levels of transfusion, Hb, and WCC discriminated significantly (Wilks lambda =0.159; P < 0.0001) the study groups through Function 1 [Eigen value (EV) = 2.591; cumulative variance (CV) = 78, 7% and Canonical correlation (CC) = 0.849], Function 2 (EV = 0.619; CV = 97.5%; CC = 0.618), and Function 3 (EV = 0.081; CV = 100%; CC = 0.274). The highest Mahalanobis distance (Min D Squared = 0.162) was observed between CML and MDS. For early diagnosis, precise medicine, and good practice in hematologic oncology, DA separated CML, MDS, MM, AML, CLL, and ALL from normal myelogram in Congolese patients.
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