ArticleJournal of cardiothoracic and vascular anesthesia2022
Perioperative Ischemic Optic Neuropathy after Cardiac Surgery: Development and Validation of a Preoperative Risk Prediction Model.
Article in Journal of cardiothoracic and vascular anesthesia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Perioperative ischemic optic neuropathy: a comprehensive review of anesthetic implications, hemodynamic pathophysiology, and risk stratification.International ophthalmology · 2026Review
- Postoperative vision loss and visual disturbances in a Canadian provincial administrative data repository.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025Article
- The Effect of Sevoflurane Versus Total Intravenous Anesthesia on Intraocular Pressure in Patients Undergoing Coronary Artery Bypass Graft Surgery with Cardiopulmonary Bypass: A Prospective Observational Study.Medicina (Kaunas, Lithuania) · 2025Observational
- [Perioperative visual loss : Rare, unknown, relevant?]Die Anaesthesiologie · 2024Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
objectivePrevious studies identified risk factors for ischemic optic neuropathy (ION) after cardiac surgery; however, there is no easy-to-use risk calculator for the physician to identify high-risk patients for ION before cardiac surgery. The authors sought to develop and validate a simple-to-use predictive model and calculator to assist with preoperative identification of risk and informed consent for this rare but serious complication.
designRetrospective case-control study.
settingHospital discharge records. PATIENTS: A total of 5,561,177 discharges in the National Inpatient Sample >18 years of age, with procedure codes for coronary artery bypass grafting, heart valve repair/replacement, or left ventricular assist device insertion.
interventionsAll patients had undergone cardiac surgery. MEASUREMENTS AND MAIN
resultsKnown preoperative risk factors for ION after cardiac surgery were assessed to develop a risk score and prediction model. This model was validated internally using the split-sample method. There were 771 cases of ION among 5,561,177 patients in the National Inpatient Sample. The risk factors for ION used in the model were carotid artery stenosis, cataract, diabetic retinopathy, macular degeneration, glaucoma, male sex, and prior stroke; whereas uncomplicated diabetes decreased risk. With the internal validation, the predictive model had an area under the receiver operating characteristic curve of 0.66. A risk score cutoff ≥3 had 98.4% specificity.
conclusionsThis predictive model, based on previously identified preoperative factors, predicted risk of perioperative ION with a fair area under the receiver operating characteristic curve. This predictive model could enable screening to provide a more accurate risk assessment for ION, and consent process for cardiac surgery.
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