To investigate putative prognostic factors for predicting visual acuity and keratometry 1 year following corneal cross-linking (CXL) for treating keratoconus.
Prospective cohort study.
This study included all consecutively treated keratoconus patients (102 eyes) in 1 academic treatment center, with minimal 1-year follow-up following CXL. Primary treatment outcomes were corrected distance visual acuity (logMAR CDVA) and maximum keratometry (K max ). Univariable analyses were performed to determine correlations between baseline parameters and follow-up measurements. Correlating factors ( P ≤ .20) were then entered into a multivariable linear regression analysis, and a model for predicting CDVA and K max was created.
Atopic constitution, positive family history, and smoking were not independent factors affecting CXL outcomes. Multivariable analysis identified cone eccentricity as a major factor for predicting K max outcome (ß coefficient = 0.709, P = .02), whereas age, sex, and baseline keratometry were not independent contributors. Posttreatment visual acuity could be predicted based on pretreatment visual acuity (ß coefficient = −0.621, P < .01, R 2 = 0.45). Specifically, a low visual acuity predicts visual improvement. A prediction model for K max did not accurately estimate treatment outcomes ( R 2 = 0.15).
Our results confirm the role of cone eccentricity with respect to the improvement of corneal curvature following CXL. Visual acuity outcome can be predicted accurately based on pretreatment visual acuity. Age, sex, and K max are debated as independent factors for predicting the outcome of treating keratoconus with CXL.
Keratoconus is a progressive noninflammatory disease, in which the cornea becomes thinner, inducing irregular astigmatism and reducing quality of vision. Corneal cross-linking (CXL) is a relatively new treatment designed to increase the mechanical and biochemical strength of the stromal tissue by exposing the ectatic cornea to riboflavin and ultraviolet-A light. When successful, CXL prevents the progression of keratoconus and can even cause the ectatic cornea to regress. This stabilization of the keratoconus can prevent the future need for a corneal graft. The clinical outcome following CXL with respect to visual acuity is generally positive, although loss of visual acuity can occur as a complication of the procedure. In addition, CXL can affect the healthy endothelium, and treatment safety guidelines have been proposed to prevent this. Importantly, the clinical benefits of CXL can vary among patients; indeed, nearly every clinician has encountered patients whose keratoconus proceeds seemingly unhampered despite CXL treatment. Therefore, the ability to reliably predict the outcome of performing CXL prior to the procedure will help clinicians manage their patients’ expectations and minimize the exposure to potential side effects.
The etiology of keratoconus has been studied extensively, and factors associated with keratoconus include a positive family history, an atopic constitution, eye rubbing, contact lens use, and myriad syndromes such as Down, chromosome 7,11 translocation, and chromosome 13 ring abnormality. However, whether these factors also play a role in the effectiveness and consequences of CXL treatment has not been established yet. Our understanding of the factors that are related with CXL treatment success is beginning to emerge. Achieving treatment success is based on a combination of clinical features, including postoperative visual acuity, improved keratometry, and the absence of adverse events. A systematic literature search to identify putative prognostic factors revealed that preoperative visual acuity, eccentricity of the cone, pretreatment maximum keratometry (K max ), age above 35 years, and sex are all predictors of CXL efficacy and safety.
For example, Greenstein and associates reported that male subjects and patients with a central cone location seem to benefit more from CXL treatment in terms of K max regression. However, whether a high K max prior to treatment affects K max regression is controversial. Lamy and associates addressed post-CXL visual acuity outcomes and found that central cone location, visual acuity ≤20/25, and age ≤35 years predicted higher corrected distance visual acuity (CDVA) 1 year after treatment. In addition, Spoerl and associates reported a negative association between smoking and keratoconus, and Hafezi suggested that this might be explained by biomechanical changes that can occur in the cornea as a result of smoking. Moreover, Altinors and associates reported that smoking can cause deterioration of the lipid layer in the precorneal tear film. Therefore, smoking can affect the treatment outcome, particularly when CXL is performed in the presence of a corneal abrasion.
Here, we investigated the value of the aforementioned factors in predicting CXL treatment effectiveness in keratoconus patients. In addition, we assessed additional putative prognostic factors such as family history, atopic constitution, and smoking. By combining these factors, we attempted to create a prediction model that can assist clinicians in therapeutic decision making.
Subjects and Methods
Dataset and Study Design
The data were obtained from a cohort of patients with progressive keratoconus who received CXL treatment in our institution. We recruited all patients who were treated consecutively at the University Medical Center Utrecht from January 1, 2010 through December 31, 2010, followed by follow-up visit after 1 year. The inclusion criteria included a progression of K max ≥ 1.0 diopter (D) within 6-12 months, and corneal thickness ≥400 μm (at the thinnest point). The exclusion criteria included corneal scarring, the concurrent presence of an infection, pregnancy, or lactation. The treatment effects were assessed at the 1-year follow-up visit. This study for predictor research was approved by the University Medical Center Utrecht Ethics Review Board, and the requirement for informed consent was waived. The treatment of the patient cohort was in accordance with the Declaration of Helsinki and local laws regarding research using human subjects.
The surgical procedure was performed as described previously. A 9-mm corneal abrasion was made using a blunt knife, after which a 0.1% solution of riboflavin (Peschke Meditrade GmbH, Waldshut-Tiengen, Germany) was applied every 3 minutes for 30 minutes. When corneal pachymetry was less than 400 μm, hypo-osmotic riboflavin was applied every 20 seconds for 5 minutes and repeated up to 2 times until adequate thickness (ie, ≥400 μm) was achieved. The cornea was exposed to an ultraviolet (UV) light source (UV-X; Peschke Meditrade GmbH, using a perpendicular emission plane) with a wavelength of 365 ± 10 nm for a total cumulative exposure time of 30 minutes. Riboflavin drops were instilled every 5 minutes during the UV irradiation. Following the treatment, a bandage lens (PureVision; Bausch + Lomb Nederland BV, Schiphol-Rijk, The Netherlands) was placed. Postoperative medication included nepafenac 0.1% drops (Nevanac; Alcon Nederland BV, Gorinchem, The Netherlands) 3 times a day (TID) for 1 week, moxifloxacin 0.5% drops (Vigamox; Alcon Nederland BV) TID for 1 month, and dextran/hypromellose drops (Duratears; Alcon Nederland BV) TID for 1 month. When the epithelium was healed the bandage contact lens was removed and fluorometholone 0.1% drops (FML Liquifilm; Allergan BV, Eindhoven, The Netherlands) were applied twice a day.
Standardized preoperative assessment yielded a series of potential predictive factors. These measurements included uncorrected distance visual acuity (UDVA), corrected distance visual acuity (CDVA, obtained using manifest refraction), corneal tomography (Pentacam HR type 70900; Oculus Optikgeräte GmbH, Wetzlar, Germany), endothelial cell count (SP-3000P; Topcon Corporation, Tokyo, Japan), and automated tonometry (CT-80; Topcon). These measurements were repeated postoperatively at 1, 3, 6, and 12 months. All patients were instructed to stop wearing their contact lenses 2 weeks before each evaluation.
Patients’ histories were obtained using standardized forms and included their family history, atopic constitution, and smoking status. Family history for keratoconus was obtained to fourth-degree relatives (ie, nephews/nieces) and was defined as positive in the case of a first- or second-degree relative with keratoconus. An atopic constitution was defined as having asthma, hay fever, eczema, food allergies, and/or anti-allergy medication usage. Smoking status included current smoking status or smoking in the personal history, and the number of pack-years was noted. Any missing data in the medical files were obtained by consulting with the patients by phone or mail.
Visual acuity was converted to the logarithm of the minimal angle of resolution (logMAR) of visual acuity. The following 2 primary outcomes were defined: (1) differences in visual acuity (logMAR CDVA) between baseline and 1-year follow-up visit; and (2) differences in keratometry (K max ) between baseline and 1-year follow-up visit. The paired-samples Student t test was used to analyze the differences between K max and logMAR CDVA at baseline and 1 year after treatment. Missing measurements were excluded pairwise from the analysis.
Linearity of the baseline data and outcome measurements was determined visually in a histogram. Normality was tested based on skewness and kurtosis with a cut-off value of 3.29 ( P < .001) and showed no deviations. The pretreatment measurements and potential prognostic factors (atopic constitution, family history, smoking habits, factors derived from a literature review, and preoperative measurements) were included in a univariate analysis. Pearson correlation coefficients were determined between the potential prognostic variables and the primary outcomes. The ß coefficient represents how a dependent variable will change, per unit increase in the predictor variable, and has both a magnitude and a positive or negative direction; for example, a ß coefficient of +2 for age indicates that for every year a subject ages, the dependent variable will increase by 2 units.
To determine the independent relationship between potential prognostic factors and the outcome, a multivariable linear regression model was built. This model initially included all variables with P ≤ .20 in the univariate analysis. This analysis was performed with generalized estimating equations, correcting for patients who included both eyes in the dataset. A prediction model was created by performing stepwise backward selection of the least-contributing variables. These variables were removed until the quasi-likelihood ratio began to deteriorate. Internal model validity was tested by plotting the predicted value of the linear predictor against the measured differences after 1 year and then calculating the linear coefficient between the predicted and measured outcome values ( R 2 ). A likelihood ratio test was performed after a squared term was included in the regression model. The data were collected and analyzed using SPSS 20.0 (IBM SPSS statistics, Armonk, New York, USA).
One hundred and two eyes of 79 patients were treated consecutively. Six eyes (of 4 patients) were excluded from the analysis because the patients were lost to follow-up (=5%); the baseline characteristics of these patients did not differ significantly from the remaining patient group. The baseline characteristics are presented in Table 1 . At the 1-year follow-up visit, K max decreased or stabilized in 85 of 96 eyes (88.5%). In the remaining 11 eyes, the keratoconus progressed by >1.0 D, with a mean increase in K max of 2.6 D (range 1.3-5.2 D).
|Age (y), mean||23||12-50||0|
|Right eye, N||43||42%||0|
|K max (D), mean||59.5||44.8-82.2||0|
|Snellen CDVA, mean||20/32||20/400 to 20/16||0|
|logMAR CDVA, mean||0.31||−0.08 to 1.30||0|
|ECD (cells/mm 2 ), mean||2744||1900-3347||32 a|
|Positive family history, N||8||10%||2|
|Atopic constitution, N||34||43%||2|
|Average pack-years, mean||0.5||0.25-7||3|
a In severe keratoconus endothelial densities were not attainable.
Both primary outcomes improved significantly at the 1-year follow-up compared to baseline. Mean K max decreased by 1.3 D from 60.1 to 58.7 ( P < .01) and mean logMAR CDVA decreased by 0.13 from 0.33 to 0.19 ( P < .01). These values are based on the 96 included eyes. Endothelial cell density was unchanged, with a mean cell density at follow-up of 2831 ± 309 cells/mm 2 , with 1 case showing a decline of more than 10% (to 2584 cells/mm 2 ). One month after treatment, a mild postoperative haze occurred and then largely resolved in 22 eyes; at 1 year 3 of these eyes still had a slight yet persistent haze. The epithelium was healed within 1 week, within 2 weeks, and after 2 weeks in 80 of 96 (83.3%), in 13 of 96 (13.5%), and in 3 of 96 (3.1%) of eyes, respectively. None of the patients developed infectious keratitis.
All putative predictors were univariate correlated with both primary outcomes. Table 2 provides an overview of the predictors that were assessed. Notable predictors include higher improvement in K max in male subjects than in female (ß coefficient: 1.222, CI 95% 0.272;2.172, P = .01) and a slight yet significant decrease in improvement in visual acuity in atopic patients (ß coefficient: 0.121, CI 95% 0.010;0.232, P = .03). Neither a family history of keratoconus nor smoking influenced the treatment outcomes. The significant univariate associations were entered in the multivariable analysis.
|Changes in CDVA (logMAR)||Changes in Maximum Keratometry|
|ß Coefficient a||95% CI||P Value||ß Coefficient a||95% CI||P Value|
|Age (y)||0.001||−0.006 to 0.008||.77||0.044||−0.130 to 0.102||.13|
|Male sex||0.041||−0.079 to 0.162||0.50||1.222||0.272 to 2.172||.01 b|
|Positive family history||0.003||−0.168 to 0.173||.97||0.693||−0.689 to 2.075||.32|
|Atopic constitution||0.121||0.010 to 0.232||.03 b||0.246||−0.679 to 1.171||.60|
|Smoking||−0.047||−0.203 to 0.109||.54||−0.417||−1.688 to 0.854||.52|
|Spherical equivalent (D)||−0.002||−0.018 to 0.013||.99||0.104||−0.022 to 0.230||.12|
|LogMAR UDVA pretreatment||−0.180||−0.290 to −0.070||<.01 b||−0.871||−1.791 to 0.049||.06|
|LogMAR CDVA pretreatment||−0.523||−0.641 to −0.405||<.01 b||−0.771||−2.062 to 0.520||.24|
|K max pretreatment (D)||−0.009||−0.016 to −0.003||<.01 b||−0.039||−0.091 to 0.014||.14|
|Eccentricity (mm)||0.098||0.029 to 0.168||<.01 b||0.957||0.400 to 1.151||<.01 b|
|Central corneal thickness (μm)||0.001||0.000 to 0.003||.04 b||0.011||0.001 to 0.023||.04 b|
a ß coefficient is a value referring to how a dependent variable will change, per unit increase in the predictor variable.
b Significant P values; significance set at <.05. P values <.20 were included in multivariate analysis.
Multivariable Regression Analysis and Prognostic Models
Next, we performed a multivariable linear regression analysis for both primary outcomes. The results of this analysis are shown in Table 3 . With respect to visual acuity outcome, only the pretreatment logMAR CDVA was an independent factor (ß coefficient: −0.621, CI 95% −0.995;−0.247, P < .01); specifically, a higher pretreatment logMAR was associated with a lower logMAR at the 1-year follow-up visit. Similar results were obtained for cone eccentricity with respect to K max outcome (ß coefficient: 0.709, CI 95% 0.117;1.301, P = .02); having a more eccentric cone pretreatment was associated with less flattening of K max at the 1-year follow-up visit. All other parameters that were assessed in this multivariable analysis, including atopic constitution, did not appear to have an individual effect on treatment outcome.