%0 Journal Article %J Am J Ophthalmol %D 2017 %T Risk of Posterior Capsule Rupture During Cataract Surgery in Eyes With Previous Intravitreal Injections. %A Shalchi, Zaid %A Okada, Mali %A Whiting, Chris %A Hamilton, Robin %K Aged %K Cataract Extraction %K Female %K Follow-Up Studies %K Glucocorticoids %K Humans %K Incidence %K Intraoperative Complications %K Intravitreal Injections %K Lens Capsule, Crystalline %K Male %K Posterior Capsular Rupture, Ocular %K Retrospective Studies %K Risk Factors %K United Kingdom %K Visual Acuity %X

PURPOSE: To investigate the risk of posterior capsular rupture (PCR) during cataract surgery in eyes with previous intravitreal injection (IVI).

DESIGN: Retrospective cohort study.

METHODS: The Moorfields Patient Administrative System and OpenEyes electronic databases were used to study all cataract surgery procedures undertaken between January 1, 2012 and August 31, 2015 in the Moorfields main and satellite sites. Clinical data were anonymized and extracted, including prior occurrence and number of intravitreal injections. Logistic regression was performed with the Hosmer-Lemeshow test for goodness of fit to generate odds ratios for possible risk factors.

RESULTS: In total, 62 994 cataract surgery procedures were undertaken over the study period, of which 1035 (1.64%) were in eyes with previous intravitreal injection(s). PCR occurred in 650 (1.04%) eyes. After logistic regression, prior intravitreal injection was associated with an increased risk of PCR (P = .037), with an odds ratio of 1.66. The number of prior injections, indication for injections, and service undertaking the surgery were not associated with increased risk of PCR (P > .1).

CONCLUSIONS: Eyes with previous IVI have a higher risk of PCR. This is not affected by number of previous injections, indication for injections, or the specialty undertaking the surgery.

%B Am J Ophthalmol %V 177 %P 77-80 %8 2017 May %G eng %R 10.1016/j.ajo.2017.02.006 %0 Journal Article %J Conf Proc IEEE Eng Med Biol Soc %D 2012 %T S2DIA: a diagnostic system for Diabetes mellitus using SANA platform. %A Costa, Clayton M %A Gondim, Dikson D %A Gondim, Dibson D %A Soares, Heliana B %A Ribeiro, Anna G C D %A Silva, Ikaro %A Winkler, Erick %A Celi, Leo %A Guerreiro, Ana M G %A Leite, Cicília R M %K Diabetes Mellitus, Type 2 %K Diagnosis, Computer-Assisted %K Humans %K Risk Factors %X

Currently, Diabetes is a very common disease around the world, and with an increase in sedentary lifestyles, obesity and an aging population the number of people with Diabetes worldwide will increase by more than 50%. In this context, the MIT (Massachusetts Institute of Technology) developed the SANA platform, which brings the benefits of information technology to the field of healthcare. It offers healthcare delivery in remote areas, improves patient access to medical specialists for faster, higher quality, and more cost effective diagnosis and intervention. For these reasons, we developed a system for diagnosis of Diabetes using the SANA platform, called S2DIA. It is the first step towards knowing the risks for type 2 Diabetes, and it will be evaluated, especially, in remote/poor areas of Brazil.

%B Conf Proc IEEE Eng Med Biol Soc %V 2012 %P 6078-81 %8 2012 %G eng %R 10.1109/EMBC.2012.6347380 %0 Journal Article %J Med Klin Intensivmed Notfmed %D 2012 %T [Thyroid storm]. %A Dietrich, J W %K Antithyroid Agents %K Cross-Sectional Studies %K Diagnosis, Differential %K Humans %K Intensive Care Units %K Prognosis %K Risk Factors %K Survival Rate %K Thyroid Crisis %K Thyroxine %K Triiodothyronine %X

Thyroid storm is a complicated, life-threatening form of thyrotoxicosis. The causes are multifactorial and elevated iodothyronine levels are only one of many components. Usually, the transition from thyrotoxicosis to thyroid storm is ignited by non-thyroidal triggers. This is a rare condition observed with an incidence between 0.8 and 1.4 cases per 100,000 inhabitants. Diagnosis relies primarily on clinical criteria. Multimodal therapy aims at disrupting positive feedback loops between elevated levels of free T3 or T4 and their effects on target tissues and organs. Timely diagnosis and therapy help to reduce mortality to below 35%.

%B Med Klin Intensivmed Notfmed %V 107 %P 448-53 %8 2012 Sep %G eng %N 6 %R 10.1007/s00063-012-0113-2