Impact of DED on the Accuracy of Preoperative Keratometry Values in the Calculation of IOL Power for Cataract Surgery.

NCT ID: NCT06989827

Last Updated: 2025-05-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

100 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-06-02

Study Completion Date

2026-03-31

Brief Summary

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This study looks at how dry eye disease can affect important eye measurements needed before cataract surgery. These measurements guide us in choosing the right artificial lens to implant, which is essential for achieving clear vision after the procedure. We are currently investigating whether patients with dry eyes tend to have less reliable readings due to surface irregularities on the eye. Our goal is to better understand this connection so we can improve pre-surgical preparation for patients with dry eye and help ensure better visual outcomes after cataract surgery.

Detailed Description

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In this study, we are investigating the potential impact of dry eye disease (DED) on the accuracy of preoperative keratometry values used in intraocular lens (IOL) power calculations for cataract surgery. Precise keratometric measurements are essential for determining the appropriate IOL power to achieve optimal postoperative refractive outcomes. However, ocular surface irregularities associated with DED-such as tear film instability, corneal epithelial disruption, and increased surface variability-may compromise the repeatability and reliability of these measurements.

We aim to examine the correlation between the severity of dry eye and the variability or inaccuracy in keratometric readings obtained through standard biometry techniques. Patients undergoing cataract surgery are being prospectively evaluated and stratified based on dry eye status using established diagnostic criteria, including patient-reported symptom questionnaires (OSDI), tear break-up time (TBUT), corneal staining patterns (Oxford grading scale), Schirmer's test values, and Meibomian Gland Evaluation (Meibomian Quality Score). Preoperative keratometry data are collected using optical biometers, and repeated measurements are analyzed for variability. IOL power calculations are compared with postoperative refractive outcomes to assess clinical significance.

By identifying potential discrepancies linked to dry eye severity, we aim to determine whether preoperative DED management could meaningfully improve measurement precision and, consequently, visual outcomes. Preliminary observations suggest that untreated or suboptimally managed DED may lead to inconsistent keratometric values, which in turn could contribute to unexpected postoperative refractive errors.

Our ultimate goal is to provide evidence-based recommendations for preoperative screening and treatment protocols for DED in cataract surgery candidates. These findings could support the development of standardized guidelines that incorporate ocular surface optimization as an essential component of pre-surgical planning, thereby enhancing surgical precision and patient satisfaction.

Conditions

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Dry Eye Disease (DED) Cataract

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

The study is designed to compare two parallel groups of patients, healthy controls and patients diagnosed with dry eye disease.
Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Healthy controls

Group Type NO_INTERVENTION

No interventions assigned to this group

Patients with diagnosed dry eye disease

Group Type ACTIVE_COMPARATOR

Preservative free artificial tear

Intervention Type DRUG

After diagnosing patients with dry eye disease we prescribed them preservative free artificial tears and scheduled them for a follow-up keratometry.

Interventions

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Preservative free artificial tear

After diagnosing patients with dry eye disease we prescribed them preservative free artificial tears and scheduled them for a follow-up keratometry.

Intervention Type DRUG

Eligibility Criteria

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Inclusion Criteria

* healthy controls scheduled to undergo cataract surgery
* patients diagnosed with dry eye disease scheduled to undergo cataract surgery

Exclusion Criteria

* patients already on therapy regimen using Preservative free artificial tears
* patients on antihistamines/decongestants, antidepressants, anti-Parkinson's, antipsychotics and antispasmodic medications.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University Hospital Sestre Milosrdnice

OTHER

Sponsor Role lead

Responsible Party

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Stjepan Pinotić

Medical Doctor, ophthalmology resident

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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UHC Sestre Milosrdnice

Zagreb, City of Zagreb, Croatia

Site Status

Countries

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Croatia

Central Contacts

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Stjepan Pinotić, MD

Role: CONTACT

00385977493252

Facility Contacts

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Stjepan Pinotić, MD

Role: primary

+385977493252

References

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Yang F, Yang L, Ning X, Liu J, Wang J. Effect of dry eye on the reliability of keratometry for cataract surgery planning. J Fr Ophtalmol. 2024 Feb;47(2):103999. doi: 10.1016/j.jfo.2023.04.016. Epub 2023 Oct 31.

Reference Type BACKGROUND
PMID: 37919153 (View on PubMed)

Other Identifiers

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DED_Cataract_25

Identifier Type: -

Identifier Source: org_study_id

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