To compare the effect and the treatment outcomes of bevacizumab and ranibizumab in the treatment of Type 1 retinopathy of prematurity (ROP). This was a bicentered retrospective case series performed at institutional referral centers. Seventy-two eyes of 37 patients who had intravitreal injections of either bevacizumab or ranibizumab as the primary treatment for Type 1 ROP were included. Outcomes' measures included regression and recurrence of ROP, the surgical complications, and refractive errors at a corrected age of 1 year. All but one eye in the bevacizumab group had retinal neovascularization and plus disease regression after anti-vascular endothelium growth factor treatment. Neither recurrence of ROP nor major ocular complications, including cataract, retinal detachment, and endophthalmitis occurred in any of the treated eyes. There were no significant differences in mean refractive errors between the patients treated with intravitreal injections of bevacizumab or ranibizumab at the corrected age of 1 year. A significantly higher chance of high myopia was noted in the bevacizumab group (P = 0.03). Both bevacizumab and ranibizumab showed similar efficacy in the regression of ROP with minor mean refractive errors at 1 year of corrected age. However, high myopia was more prevalent in the bevacizumab-treated eyes.

Despite dengue dynamics being driven by complex interactions between human hosts, mosquito vectors and viruses that are influenced by climate factors, an operational model that will enable health authorities to anticipate the outbreak risk in a dengue non-endemic area has not been developed. The objectives of this study were to evaluate the temporal relationship between meteorological variables, entomological surveillance indices and confirmed dengue cases; and to establish the threshold for entomological surveillance indices including three mosquito larval indices [Breteau (BI), Container (CI) and House indices (HI)] and one adult index (AI) as an early warning tool for dengue epidemic. Epidemiological, entomological and meteorological data were analyzed from 2005 to 2012 in Kaohsiung City, Taiwan. The successive waves of dengue outbreaks with different magnitudes were recorded in Kaohsiung City, and involved a dominant serotype during each epidemic. The annual indigenous dengue cases usually started from May to June and reached a peak in October to November. Vector data from 2005–2012 showed that the peak of the adult mosquito population was followed by a peak in the corresponding dengue activity with a lag period of 1–2 months. Therefore, we focused the analysis on the data from May to December and the high risk district, where the inspection of the immature and mature mosquitoes was carried out on a weekly basis and about 97.9% dengue cases occurred. The two-stage model was utilized here to estimate the risk and time-lag effect of annual dengue outbreaks in Taiwan. First, Poisson regression was used to select the optimal subset of variables and time-lags for predicting the number of dengue cases, and the final results of the multivariate analysis were selected based on the smallest AIC value. Next, each vector index models with selected variables were subjected to multiple logistic regression models to examine the accuracy of predicting the occurrence of dengue cases. The results suggested that Model-AI, BI, CI and HI predicted the occurrence of dengue cases with 83.8, 87.8, 88.3 and 88.4% accuracy, respectively. The predicting threshold based on individual Model-AI, BI, CI and HI was 0.97, 1.16, 1.79 and 0.997, respectively. There was little evidence of quantifiable association among vector indices, meteorological factors and dengue transmission that could reliably be used for outbreak prediction. Our study here provided the proof-of-concept of how to search for the optimal model and determine the threshold for dengue epidemics. Since those factors used for prediction varied, depending on the ecology and herd immunity level under different geological areas, different thresholds may be developed for different countries using a similar structure of the two-stage model. With the continuously high levels of worldwide dengue transmission, predicting dengue outbreaks in advance of their occurrence or identifying specific locations where outbreak risks are highest is of critical importance. However, only few studies have been conducted in dengue non-endemic countries to evaluate the association of vector index with the occurrence of dengue cases; and the establishment of an early warning signal would significantly enhance the public health intervention. Our study here provided the proof-of-concept results, utilizing a two-stage model to identify the best set of lag effects of meteorological and entomological variables, explaining dengue epidemics based on the data obtained from Taiwan, which is a dengue-non-endemic country. Each of the vector indices when combined with the meteorological factors has better performance compared to the prediction using AI, BI, CI and HI alone, with 83.8, 87.8, 88.3 and 88.4% accuracy, respectively. Because of the complex interplays between the size of human hosts and movement, environmental factors and dynamic changes of mosquito population and density, each country should consider its own individual data and situation and apply this two-stage model to find the optimal predictive models for allocating public health resources and prevention strategies.

Purpose To estimate the incidence and clinical characteristics of rhegmatogenous retinal detachment (RRD) in Taiwan. Methods This was a nationwide, population-based retrospective study of patients with RRD. Data from the Taiwan National Health Insurance Research Database (2000–2012), which represents 4% of the total population in Taiwan, were analysed. The incidence of RRD and its associations with age, gender and high myopia were analysed. Results A total of 2359 patients with RRD (1336 men and 1023 women) were identified from 2000–2012. The age-standardised incidence rate of RRD over the 13-year period was 16.40±1.06 per 10⁵ person-years (18.89 and 13.93 for men and women, respectively, p<0.0001) and an average age of 47.76±0.67 years. The incidence in both genders had an obvious peak at 50–69 years of age, and a secondary peak at 20–29 years in women. Concomitant high myopia was noted in 10.51% of the patients, with an average of 39.72±1.95 years. Prior cataract extraction was noted in 11.06% of the patients, including 17.64% in the patients RRD aged ≥50 years and 4.04% in those younger than 50 years. The average age of the patients with pseudophakic or aphakic RRD was 61.85±1.60 years. Conclusions The annual incidence of RRD in Taiwan is comparable to most Western countries, with a relatively younger mean age. The male patients were more susceptible to retinal detachment in almost all age groups. Retinal detachment in patients with high myopia was associated with a younger age at onset.

SUMMARY: The introduction and the widespread use of the varicella vaccine in Taiwan has led to a 75–80% decrease in the incidence of varicella in children. However the vaccine's long-term impact on the incidence of herpes zoster (HZ) has attracted attention. By controlling gender, underlying diseases, and age effects, a Poisson regression was applied on the 2000–2008 chart records of 240 000 randomly selected residents who enrolled in the Universal National Health Insurance. The results show that, as the vaccine coverage in children increases, the incidence of varicella decreases. However, the incidence of HZ increased even before the implementation of the free varicella vaccination programme in 2004, particularly in females. The increase in the incidence of HZ cannot be entirely and directly attributed to the widespread vaccination of children. Continuous monitoring is needed to understand the secular trends in HZ before and after varicella vaccination in Taiwan and in other countries.