The aim of this study is to evaluate the clinical outcomes of micropulse transscleral cyclophotocoagulation (mTSCPC) in cases of refractory glaucoma. Patients with refractory glaucoma were selected to undergo mTSCPC, using the MP3 handpiece from Iridex Laser Systems. Follow-up examinations occurred on a regular basis for 18 months after the procedure. One hundred eyes of 97 patients were treated. Mean pre-laser intraocular pressure (IOP) was 39.14 ± 13.84 mmHg. This was reduced significantly to 22.77.8 ± 10.48 mmHg (41.82% reduction; p < 0.001) at week 1. At months 1, 3, 6, 12, and 18 the IOP mean was 23.81 ± 9.44, 24.27 ± 9.17, 23.09 ± 8.47, 22.76 ± 8.14, and 22.77 ± 8.13 mmHg. The success rate at 18 months was the highest 90.91% for the group with IOP below 26 mmHg and the lowest 70.00% for the IOP group 26-30 mmHg. The mean number of anti-glaucoma drops decreased from 2.63 ± 0.87 to 1.78 ± 0.95. The number of treatments performed was 1.26. The pain felt during the procedure was reported as being moderate. No major postoperative complications were noted. Micropulse transscleral cyclophotocoagulation is a non-invasive, repeatable laser procedure that offers both good and stable results in lowering IOP and decreases the use of antiglaucoma medications for up to 18 months.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10103-019-02934-xDOI Listing

Publication Analysis

Top Keywords

clinical outcomes
8
outcomes micropulse
8
micropulse transscleral
8
transscleral cyclophotocoagulation
8
refractory glaucoma
8
cyclophotocoagulation refractory
4
refractory glaucoma-18 months
4
glaucoma-18 months follow-up
4
follow-up aim
4
aim study
4

Similar Publications

Psychological distress, including anxiety or mood disorders, emanates from the onset of chronic/unpredictable stressful events. Symptoms in the form of maladaptive behaviors are learned and difficult to treat. While the origin of stress-induced disorders seems to be where learning and stress intersect, this relationship and molecular pathways involved remain largely unresolved.

View Article and Find Full Text PDF

Untangling areas of improvement in secondary prevention of ischemic stroke in patients with atrial fibrillation.

Sci Rep

December 2024

Health Services Research and Pharmacoepidemiology Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Avenida Cataluña, 21, 46020, Valencia, Spain.

Improvement of post-stroke outcomes relies on patient adherence and appropriate therapy maintenance by physicians. However, comprehensive evaluation of these factors is often overlooked. This study assesses secondary stroke prevention by differentiating patient adherence to antithrombotic treatments (ATT) from physician-initiated interruptions or switches.

View Article and Find Full Text PDF

Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC.

View Article and Find Full Text PDF

Network hypersynchrony is emerging as an important system-level mechanism underlying seizures, as well as cognitive and behavioural impairments, in children with structural brain abnormalities. We investigated patterns of single neuron action potential behaviour in 206 neurons recorded from tubers, transmantle tails of tubers and normal looking cortex in 3 children with tuberous sclerosis. The patterns of neuronal firing on a neuron-by-neuron (autocorrelation) basis did not reveal any differences as a function of anatomy.

View Article and Find Full Text PDF

Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!