In order to ascertain the accuracy and specificity of the Potential Acuity Meter (PAM) in the preoperative evaluation of likely postoperative visual acuity in cases of cataract associated with age-related macular degeneration (ARMD), we studied the results in 130 cases, 54 of whom had preoperatively proved or suspected ARMD associated with a cataract. All of them were operated with extracapsular extraction and implantation of an intraocular lens (IOL), and final visual acuity was established when all the patients were visited three months postoperatively. A positive linear correlation was found between normal ocular fundus and PAM prediction (r = 0.77), and in the group of patients with preoperatively confirmed ARMD (r = 0.77). No difference was found between the preoperative PAM estimation and the final visual acuity in both groups. The PAM prediction was less accurate in cases with doubtful preoperative ARMD (r = 0.58) for whom showed PAM the highest score of false negatives in favor of the final visual acuity. Our results show that PAM is a reliable clinical technique for the prediction of visual results after cataract surgery in cases with preoperatively proved or doubtful macular pathology. To the best of our knowledge, this is the first report regarding the sensitivity and specificity of the PAM in diseased or suspicious maculas associated with cataract.
Background: Malaria incidence in Brazil reversed its decreasing trend when cases from recent years, as recent as 2015, exhibited an increase in the Brazilian Amazon basin, the area with highest transmission of Plasmodium vivax and Plasmodium falciparum. In fact, an increase of more than 20% in the years 2016 and 2017 revealed possible vulnerabilities in the national malaria-control program. Methods: We studied factors that are potentially associated with this reversal, including migration, economical activities, and deforestation, and weakening of investment in control programs. We analyze past incidences of malaria cases due to Plasmodium vivax and Plasmodium falciparum with a spatio-temporal Bayesian model using more than 5 million individual records of malaria cases from January of 2003 to December of 2018 in the Brazilian Amazon to establish the municipalities with unexpected increases in cases. Results: We observe an increase in imported cases from border countries in Roraima state and found small effects due to deforestation and change of occupations. Also, an overall funding reduction from 2013 to 2016 happened before an increase in malaria cases in five regions in Amazon basin, markedly for P. vivax incidence and especially, in Pará and Roraima States. Conclusion: Urban developments, discontinued funding for control programs, migration from border areas, deforestation activities, and different economic activities such as mining and agriculture appear linked to the rebound on malaria incidence. These multifactorial drivers show that malaria control programs require permanent attention towards elimination.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.