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The presence of infection was confirmed by intraoperative surgical histological or culture data from the affected tissues.
Though we did not have complete data on patient comorbidities at the time of admission, our blood culture data from Mulago Hospital suggest a considerable proportion of patients (10%) presenting with sepsis syndromes in Uganda have MTB bacteremia.
Our cell culture data from wildtype human APP overexpressing cell lines demonstrate now that APP overexpression alone does not lead to reduced Becn1 and Pik3c3 levels, leaving the possibility that autophagy disturbance could precede APP/Aβ pathology in vivo, and that the observed reduction of BECN1 in human AD brain tissue is unlikely due to elevated levels of APP or its metabolites alone.
Culture data from all patients hospitalized at the University Hospitals of Leuven Belgiumm) from 2000 through 2009 were retrieved from the Sirscan 2000 system (i2a, Montpelier, France).
We will collect full clinical information, including presenting symptoms and signs, medical history and clinical diagnosis; urine dipstick data and culture data from both usual routine local NHS laboratories and central research laboratory.
Bacterial culture data from Mini-Bal are shown in table 2. From 37 patients with HAP, 17 patients had high-risk bacteria (S. aureus, P. aeruginosa or S. maltophilia) and 20 patients low-risk bacteria (Table 2).
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Blood culture data were obtained from the National Health Laboratory databases at the two hospitals from a week prior until 52 weeks post enrolment.
Blood culture data were obtained from the laboratory information system maintained by the Department of Clinical Microbiology, Aalborg Hospital.
Blood culture data were obtained from the laboratory information system (ADBakt; Autonik, Ramsta, Sweden) maintained by the Department of Clinical Microbiology at Aalborg University Hospital.
The patient safety culture data were obtained from a study conducted in all Norwegian Regional Health Authorities (RHAs) as part of the national patient safety campaign in Spring 2012.
The S. cerevisiae 311 dynamic model was built on the modified iMM904 metabolic network with glucose uptake parameters estimated from anaerobic culture data and oxygen uptake parameters estimated from aerobic culture data with the glucose parameters fixed [ 41].
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