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Lying down looking down test: Evaluating patient suitability for small incision cataract surgery using assisted
Vimal K Rajput1, Shweta Bhalsing2, Snehal Bhalsing3
1Department of Pediatric Ophthalmology and Strabismus, Prime Vision Superspeciality Eye Care, Ahmednagar, Maharashtra, India.
Indian Journal of Ophthalmology
|January 19, 2021
Summary
The Lying down looking down (LDLD) test accurately identifies patients suitable for assisted topical anesthesia (ATA) during cataract surgery. This simple, outpatient department-based test shows high specificity and positive predictive value for successful ATA.
Area of Science:
- Ophthalmology
- Surgical Anesthesia Techniques
- Patient Assessment
Background:
- Manual small incision cataract surgery (MSICS) can be performed under assisted topical anesthesia (ATA).
- Accurate patient selection is crucial for the success of ATA.
- A reliable preoperative assessment tool is needed to determine suitability for ATA.
Purpose of the Study:
- To evaluate the Lying down looking down (LDLD) test for assessing patient suitability for ATA during MSICS.
- To compare the outcomes of ATA with assisted local anesthesia (ALA).
Main Methods:
- The LDLD test was performed preoperatively on 250 patients.
- The test involves assessing downward gaze, eye squeezing, and withdrawal reflexes with the patient lying down.
- Statistical analyses (Chi-square, Fisher's exact tests) were used to determine the association between LDLD results and ATA suitability, calculating positive predictive value and specificity.
Main Results:
- A positive LDLD test was significantly associated with successful ATA (P=0.002).
- The LDLD test demonstrated high positive predictive value (92.56%) and specificity (93.48%) for ATA suitability.
- Fewer complications, such as congestion and corneal edema, were observed in the ATA group compared to the ALA group.
Conclusions:
- The LDLD test is a simple, highly specific, outpatient department-based method for determining patient suitability for MSICS under ATA.
- The LDLD test can aid in optimizing patient selection for ATA, potentially improving surgical outcomes and patient comfort.

