Peripapillary RNFL cross-sectional area and its association with other parameters in a Chinese population.

BACKGROUND: Quantitative analysis of retinal nerve fibers is important for the diagnosis and treatment of optic nerve diseases. Peripapillary retinal nerve fiber layer (RNFL) cross-sectional area may give a more accurate quantitative assessment of retinal nerve fibers than RNFL thickness but there have been no previous reports of the peripapillary RNFL cross-sectional area or other parameters. The purpose of the current study was to determine peripapillary RNFL cross-sectional area and its association with other factors in an adult Chinese population. METHODS: RNFL cross-sectional area was measured during peripapillary circular optical coherence tomography (OCT) scan with a diameter of 12° centered on the optic disc. Correlation between RNFL cross-sectional area and other parameters was evaluated by linear regression analysis in a cross-sectional study of an adult Chinese population. RESULTS: A total of 2404 eyes from 2404 subjects were examined. Multivariate linear regression analysis showed that larger RNFL cross-sectional area correlated with younger age (p < 0.001), female gender (p = 0.001), no history of diabetes (p = 0.012) and larger optic disc area (p < 0.001). CONCLUSIONS: Peripapillary RNFL cross-sectional area is correlated positively with optic disc area, suggesting that eyes with larger optic discs have thicker RNFL. Further studies are needed to confirm whether this correlation is due to differences in the numbers of retinal nerve fibers or other factors.

The Association Between Diabetic Retinopathy and the Prevalence of Age-Related Macular Degeneration-The Kailuan Eye Study.

This study aimed to investigate the prevalence of age-related macular degeneration (AMD) in patients with diabetes mellitus (DM) and diabetic retinopathy (DR) and analyze whether DR is a risk factor for AMD. This population-based epidemiological study included 14,440 people from the Kailuan Eye Study in 2016, of whom 1,618 were patients with type 2 DM aged over 50 years, and 409 had DM with DR. We analyzed whether there were differences in the prevalence of AMD between DM with DR and DM without DR, and conducted a hierarchical statistical analysis according to different stages of DR. Using variable regression analysis, we explored whether DR constituted a risk factor for AMD. In the DM population, the prevalence of wet AMD in patients with DM with and without DR was 0. 3 and 0.2%, respectively, with no significant difference (P = 0.607). Meanwhile, the prevalence of dry AMD in patients with DM with and without DR was 20.8 and 16.0%, respectively, with a significant difference. In the subgroup analysis of dry AMD, the prevalence of early, middle, and late dry AMD in DM with DR was 14.4, 5.9, and 0.5%, respectively. In DM without DR, the prevalence of early, middle, and late dry AMD was 10.5, 4.8, and 0.7%, respectively (P = 0.031). In the subgroup analysis of DR staging, statistical analysis could not be performed because of the limited number of patients with PDR. In the variable regression analysis of risk factors for dry AMD, after adjusting for age, sex, body mass index, hypertension, and dyslipidemia, DR constituted the risk factor for dry AMD. In conclusion, DM did not constitute a risk factor for AMD, and the prevalence of wet AMD and dry AMD in patients with DM and DR was higher than that in patients with DM without DR (among which dry AMD was statistically significant). Multivariate regression analysis confirmed that DR is an independent risk factor for dry AMD. Reasonable control of DM and slowing down the occurrence and development of DR may effectively reduce the prevalence of AMD in patients with DM.

Cost-effectiveness analysis of roadmap models in chronic hepatitis B using tenofovir as the rescue therapy.

BACKGROUND: The roadmap approach is recommended to guide chronic hepatitis B treatment. We evaluated the cost-effectiveness of various treatment strategies in the global market. METHODS: Lamivudine and telbivudine were tested in roadmap models with switch-to tenofovir if HBV was detectable at week 24 or add-on tenofovir if resistance developed at year 1. Tenofovir and entecavir were tested as continuous monotherapy. In the reference arm, lamivudine was used with add-on tenofovir if resistance developed at year 1. The primary measure of effectiveness was undetectable HBV DNA at year 2. Cost-effectiveness was measured by incremental cost-effectiveness ratio (ICER) in US dollars against the reference arm. RESULTS: In the US and Germany, costs of the reference arms were US $14,486 and US $9,998 for hepatitis B e antigen (HBeAg)-positive and US $11,398 and US $7,531 for HBeAg-negative patients, respectively. In HBeAg-positive patients, the lamivudine roadmap was most cost-effective (ICER US $15,260 in the US and US $29,113 in Germany) with comparable effectiveness (75.1%) to other strategies. In HBeAg-negative patients, tenofovir and entecavir monotherapies were most effective (91-96%) and cost-effective (ICER US $31,297-43,387 in the US and US $53,976-59,822 in Germany). In Asia, where telbivudine cost was lower, both telbivudine and lamivudine roadmaps were cost-effective in HBeAg-positive patients. Tenofovir would be most cost-effective in HBeAg-negative patients if its cost equaled that of telbivudine in Asia. CONCLUSIONS: In HBeAg-positive patients, lamivudine roadmap was most cost-effective; in Asia, telbivudine roadmap had comparable cost-effectiveness to lamivudine roadmap because of the relatively low price of telbivudine. In HBeAg-negative patients, entecavir and tenofovir monotherapies were more cost-effective than the roadmap models.

Clinical scoring system to predict hepatocellular carcinoma in chronic hepatitis B carriers.

PURPOSE: Hepatitis B virus (HBV) infection is an important etiology for hepatocellular carcinoma (HCC). We aim to develop a simple clinical score in predicting the risk of HCC among HBV carriers. PATIENTS AND METHODS: We first evaluated 1,005 patients and found that the following five factors independently predicted HCC development: age, albumin, bilirubin, HBV DNA, and cirrhosis. These variables were used to construct a prediction score ranging from 0 to 44.5. The score was validated in another prospective cohort of 424 patients. RESULTS: During a median follow-up of 10 years, 105 patients (10.%) in the training cohort and 45 patients (10.6%) in the validation cohort developed HCC. Cutoff values of 5 and 20 best discriminated HCC risk. By applying the cutoff value of 5, the score excluded future HCC development with high accuracy (negative predictive value = 97.8% and 97.3% in the training and validation cohorts, respectively). In the validation cohort, the 5-year HCC-free survival rates were 98.3%, 90.5%, and 78.9% in the low-, medium-, and high-risk groups, respectively. The hazard ratios for HCC in the medium- and high-risk groups were 12.8 and 14.6, respectively. CONCLUSION: A simple prediction score constructed from routine clinical and laboratory parameters is accurate in predicting HCC development in HBV carriers. Future prospective validation is warranted.