scholarly journals Clinical Risk Factors and CT Imaging Features of Carotid Atherosclerotic Plaques as Predictors of New Incident Carotid Ischemic Stroke: A Retrospective Cohort Study

2012 ◽  
Vol 34 (2) ◽  
pp. 402-409 ◽  
Author(s):  
R. Magge ◽  
B.C. Lau ◽  
B.P. Soares ◽  
S. Fischette ◽  
S. Arora ◽  
...  
2019 ◽  
Vol 3 (1) ◽  
pp. e000465 ◽  
Author(s):  
Natalie Adams ◽  
Lisa Byrne ◽  
Tanith Rose ◽  
Bob Adak ◽  
Claire Jenkins ◽  
...  

ObjectivesHaemolytic uraemic syndrome (HUS) following Shiga toxin-producing Escherichia coli (STEC) infection is the the most common cause of acute renal failure among children in the UK. This study explored differential progression from STEC to HUS by social, demographic and clinical risk factors.MethodsWe undertook a retrospective cohort study linking two datasets. We extracted data on paediatric STEC and HUS cases identified in the Public Health England National Enhanced Surveillance System for STEC and British Paediatric Surveillance Unit HUS surveillance from 1 October 2011 to 31 October 2014. Using logistic regression, we estimated the odds of HUS progression by risk factors.Results1059 paediatric STEC cases were included in the study, of which 207 (19.55%, 95% CI 17% to 22%) developed HUS. In the fully adjusted model, the odds of progression to HUS were highest in those aged 1–4 years (OR 4.93, 95% CI 2.30 to 10.56, compared with 10–15 years), were infected with an Shiga toxin (stx) 2-only strain (OR 5.92, 95% CI 2.49 to 14.10), were prescribed antibiotics (OR 8.46, 95% CI 4.71 to 15.18) and had bloody diarrhoea (OR 3.56, 95% CI 2.04 to 6.24) or vomiting (OR 4.47, 95% CI 2.62 to 7.63), but there was no association with progression to HUS by socioeconomic circumstances or rurality.ConclusionCombining data from an active clinical surveillance system for HUS with the national enhanced STEC surveillance system suggests that 20% of diagnosed paediatric STEC infections in England resulted in HUS. No relationship was found with socioeconomic status or rurality of cases, but differences were demonstrated by age, stx type and presenting symptoms.


2018 ◽  
Vol 69 (9) ◽  
pp. 2465-2466
Author(s):  
Iustin Olariu ◽  
Roxana Radu ◽  
Teodora Olariu ◽  
Andrada Christine Serafim ◽  
Ramona Amina Popovici ◽  
...  

Osseointegration of a dental implant may encounter a variety of problems caused by various factors, as prior health-related problems, patients� habits and the technique of the implant inserting. Retrospective cohort study of 70 patients who received implants between January 2011- April 2016 in one dental unit, with Kaplan-Meier method to calculate the probability of implants�s survival at 60 months. The analysis included demographic data, age, gender, medical history, behavior risk factors, type and location of the implant. For this cohort the implants�survival for the first 6 months was 92.86% compared to the number of patients and 97.56% compared to the number of total implants performed, with a cumulative failure rate of 2.43% after 60 months. Failures were focused exclusively on posterior mandible implants, on the percentage of 6.17%, odds ratio (OR) for these failures being 16.76 (P = 0.05) compared with other localisations of implants, exclusively in men with median age of 42 years.


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