ABSTRACT
BACKGROUND@#Handan Eye Study (HES), a large population-based cohort study in rural area of northern China, was one of the few studies focusing on the major eye diseases of rural Chinese population. The aim of this study was to introduce the design, methodology and to assess the data quality of the follow-up phase of HES.@*METHODS@#All participants were recruited in Yongnian county of Handan city between 2012 and 2013. Main outcomes were measured by visual quality scales and ocular examinations. We performed the Chi-square test to make comparison of categorical data among groups, One-way analysis of variance and Kruskal-Wallis test was applied to make comparison of continuous data among groups, a post-hoc test was done to make further pairwise comparison. Inter-class correlation coefficients (ICCs) and Kappa coefficients were used to evaluate the consistency between different operators. Logistic regression was used to explore the influence factors of death, odds ratio (OR) and 95% confidence interval (CI) were used to estimate the effect size of each influence factor.@*RESULTS@#The follow-up rate was 85.3%. Subjects were classified into three groups: the follow-up group (n = 5394), the loss to follow-up group (n = 929), and the dead group (n = 507), comparison of their baseline information was done. Compared with the other two groups, age of the dead group (66.52 ± 10.31 years) was the oldest (Z = 651.293, P < 0.001), male proportion was the highest (59.0%) (χ = 42.351, P < 0.001), only 65.9% of the dead finished middle school education (Z = 205.354, P < 0.001). The marriage percentage, body mass index (BMI), best-corrected visual acuity (BCVA), and intra-ocular pressure of the dead group was the lowest either. Spherical equivalent error (SER) of the dead group was the highest. Besides, history of smoking, hypertension, diabetes, and heart disease were more common in the dead group. Multivariate analysis showed that age (OR = 1.901, 95% CI: 1.074-1.108), gender (OR = 0.317, 95% CI: 0.224-0.448), and BCVA (OR = 0.282, 95% CI: 0.158-0.503) were associated with death. While between the follow-up group and the loss to follow-up group, there was only difference on age, gender, BMI, systolic blood pressure and SER. The Cronbach coefficients of all scales used in the follow-up were ≥0.63 and the cumulative variances were ≥0.61, indicating good reliability and validity. The ICCs and Kappa coefficients between different operators were ≥0.69.@*CONCLUSIONS@#HES has a high follow-up rate and a low risk of loss to follow-up bias. Age, gender, and BCVA are influence factors of death. Specifically, male subjects are at a higher risk of death than female, age is a risk factor of death while BCVA is a protective factor for death.
ABSTRACT
Background@#Handan Eye Study (HES), a large population-based cohort study in rural area of northern China, was one of the few studies focusing on the major eye diseases of rural Chinese population. The aim of this study was to introduce the design, methodology and to assess the data quality of the follow-up phase of HES.@*Methods@#All participants were recruited in Yongnian county of Handan city between 2012 and 2013. Main outcomes were measured by visual quality scales and ocular examinations. We performed the Chi-square test to make comparison of categorical data among groups, One-way analysis of variance and Kruskal-Wallis test was applied to make comparison of continuous data among groups, a post-hoc test was done to make further pairwise comparison. Inter-class correlation coefficients (ICCs) and Kappa coefficients were used to evaluate the consistency between different operators. Logistic regression was used to explore the influence factors of death, odds ratio (OR) and 95% confidence interval (CI) were used to estimate the effect size of each influence factor.@*Results@#The follow-up rate was 85.3%. Subjects were classified into three groups: the follow-up group (n = 5394), the loss to follow-up group (n = 929), and the dead group (n = 507), comparison of their baseline information was done. Compared with the other two groups, age of the dead group (66.52 ± 10.31 years) was the oldest (Z = 651.293, P < 0.001), male proportion was the highest (59.0%) (χ2 = 42.351, P < 0.001), only 65.9% of the dead finished middle school education (Z = 205.354, P < 0.001). The marriage percentage, body mass index (BMI), best-corrected visual acuity (BCVA), and intra-ocular pressure of the dead group was the lowest either. Spherical equivalent error (SER) of the dead group was the highest. Besides, history of smoking, hypertension, diabetes, and heart disease were more common in the dead group. Multivariate analysis showed that age (OR = 1.901, 95% CI: 1.074–1.108), gender (OR = 0.317, 95% CI: 0.224–0.448), and BCVA (OR = 0.282, 95% CI: 0.158–0.503) were associated with death. While between the follow-up group and the loss to follow-up group, there was only difference on age, gender, BMI, systolic blood pressure and SER. The Cronbach coefficients of all scales used in the follow-up were ≥0.63 and the cumulative variances were ≥0.61, indicating good reliability and validity. The ICCs and Kappa coefficients between different operators were ≥0.69.@*Conclusions@#HES has a high follow-up rate and a low risk of loss to follow-up bias. Age, gender, and BCVA are influence factors of death. Specifically, male subjects are at a higher risk of death than female, age is a risk factor of death while BCVA is a protective factor for death.
ABSTRACT
BackgroundThe influence of glaucoma on the quality of life in patients is of increasing concern for ophthalmologists in recent years. However,some studies demonstrated that different types of questionnaires about quality of life have various disadvantages. Therefore, to accurately and fully assess the influencing factors of quality of life in glaucoma patients is very important. ObjectiveThe present study was to survey the self-reported visionrelated quality of life(QOL) in glaucoma patients by means of utility analysis and to tentatively analyze its influencing factors. Methods Patients with glaucoma were recruited from a single tertiary ophthalmic department. Standard face-to-face interviews were conducted. Utility values of linear rating scale ( RS ) and time trade-off ( TTO ) were calculated to evaluate the self-reported vision-related QOL of the patients. The correlations of the utility values with the patients' general and ophthalmologic characteristics were also analyzed. This survey was approved by the Ethic Committee of Beijing Tongren Hospital. Oral informed consent was obtained from the subjects before the study.ResultsA cross-sectional study was designed. A total of 86 glaucoma patients were enrolled in this study with 62 male and 24 female, with a mean age of 44. 67 years old. The mean utility values measured by RS and TTO were 0. 62± 0. 19 and 0. 77 ± 0. 12, respectively, and no evidential correlation was found between these two values ( r =0. 074, P=0. 499 ). The RS value was associated with daily visual acuity,mean deviation(MD) of visual field and the history of trabeculectomy. Neither daily visual acuity nor MD showed a significant correlation with the TTO value. Age, work status and educational background contributed to higher utility value for the TTO method. After adjusting for age, work status and educational level,patients with visual acuity in the worse-seeing eye better than 0. 3 showed a higher TTO value than those with less than 0. 3. Conclusions Utility analysis possesses the advantages of convenience and sensitivity. RS utility value is easily affected by the Objective visual status and surgery history in glaucomatous patients,which reflects the subjective assessment of patients'visual quality. However, TTO value is primarily associated with age,work status and education level rather than visual function in glaucoma patients,which is therefore subjective assessment of the disease-related quality of life. These Results indicate that visual function impairment is not a determining factor for the QOL of glaucoma patients.
ABSTRACT
<p><b>BACKGROUND</b>Many studies indicated that short-term and long-term intraocular pressure (IOP) fluctuations in primary open angle glaucoma patients might lead to glaucomatous progression. However, seldom study has evaluated the long-term fluctuation of IOP in primary chronic angle closure diseases. The objective of this study was to investigate the long-term IOP fluctuation of primary angle closure diseases and its associations following laser peripheral iridotomy (LPI) with or without laser peripheral iridoplasty.</p><p><b>METHODS</b>A total of 158 patients with primary angle closure suspect (PACS, n = 21), primary angle closure (PAC, n = 81) and primary angle closure glaucoma (PACG, n = 55) had been treated by LPI with or without laser peripheral iridoplasty and followed up for more than 12 months. IOP was measured with Goldman applanation tonometer. Multivariate linear regression with generalized estimating equation (GEE) regression models was used to evaluate the association of long-term IOP fluctuation (maximum IOP minus minimum IOP) with gender, age, baseline IOP, baseline peripheral anterior synechia (PAS), baseline vertical cup/disc ratio (VCDR), baseline mean deviation (MD), need for IOP-lowering medications.</p><p><b>RESULTS</b>IOP fluctuation during follow-up in PACS, PAC and PACG groups were (4.83 ± 2.90), (5.67 ± 3.35), and (9.40 ± 7.14) mmHg, respectively. IOP fluctuation was strongly correlated with baseline IOP (r = 0.356, P < 0.001), PAS (r = 0.374, P < 0.001). IOP fluctuation was higher in patients with higher baseline IOP (0.18 mmHg per unit increase, 95%CI: 0.05 - 0.31 mmHg).</p><p><b>CONCLUSIONS</b>Long-term IOP fluctuation in PACG group was larger than that in PACS or PAC group. Eyes with higher baseline IOP were observed to have larger long-term IOP fluctuation.</p>