Introduction: Colorectal cancer (CRC) is rapidly increasing in developed countries. In Taiwan, the incidence rate of CRC has increased during the past decade, but the 5-year survival has remained at approximately 63%. In this study, we sought to determine the 5-year survival rate of patients diagnosed with colon and rectum cancer and to determine factors affecting survival. Material and methods: All patients from the Taiwan Cancer Database of the medical center hospital in North Taiwan between 2007 and 2013 were identified. Survival analysis was performed using Kaplan-Meier curves, and differences between the curves were analyzed using the log-rank test. Cox proportional hazards regression models were used to analyze survival by each variable. Results: A total of 869 patients were included: 554 (63.8%) patients had colon cancer and 315 (36.2%) had rectum cancer. The mean survival time was 71.27 ±1.27 months (colon group: 71.90 ±1.58 months; rectum group: 67.88 ±1.95 months). There was no significant difference (p = 0.493) between patients who had colon or rectum cancer. The forward stepwise Cox regression analysis results indicated that perineural invasion, distant metastasis, age, pathological differentiation grade, and obstruction were statistically significant for patients who had CRC, colon cancer or rectum cancer. Conclusions: The long-term survival from CRC, colon cancer and rectum cancer remains promising, as 68.66%, 69.11% and 67.90% of patients are alive 5 years after being diagnosed, respectively. Perineural invasion was found to be an important factor related to the survival of patients who have CRC. Thus, early detection of CRC may help improve survival.

Diabetic retinopathy (DR), caused by small vessel disease, is the main cause of blindness in persons with diabetes. Taiwan is one of the Asian countries with the highest prevalence rate of DR. The purpose was to investigate the related risk factors of DR in elderly patients with type 2 diabetes mellitus (T2DM), in Lee’s Endocrinology Clinic. 792 T2DM patients over 60 years old were invited to have an outpatient visit at least every three months, and all of them were asked to undergo a standardized interview and collect their blood samples. Significant factors were being female (adjusted hazard ratio (HR): 1.287; 95% CI, 1.082–1.531), higher glycated hemoglobin (HbA1c) (HR: 1.067; 95% CI: 1.016–1.119), higher mean low density of lipoprotein cholesterol (LDL-c) (HR: 1.004; 95% CI: 1.001–1.006), and chewing betel nut (HR: 1.788; 95% CI: 1.362–2.347). This study showed that gender, the behavior of chewing betel nut, HbA1c, and LDL-c are important factors for the development of DR in elderly patients with T2DM. It is suggested that patients should control their HbA1c and LDL-c and quit chewing betel nut to prevent DR. This suggestion applies especially to female patients.

Taiwan has been an aged society since March 2018, and the elderly population suffer from multiple comorbidities and long duration of disability. Therefore, the service of discharge planning of long-term care 2.0 is an important stage before patients go back to the community. Strengthening the sensitivity when identifying predisabled patients is a principal development of discharge planning. In the current study, we analyzed the characteristics and predictive factors of patients who used the service of long-term care 2.0 from the perspective of discharge planning. In this retrospective study, we included patients who received the discharge planning service in a hospital located in southern Hualien during November 2017 to October 2018. The data were collected and classified as predisposing factors, enabling factors, and need factors according to the analysis architecture of the Andersen Behavioral Model. There were 280 valid patients included in this current study; age, medical accessibility, possession of a disability card, and cerebrovascular diseases, cardiovascular diseases, and diabetes mellitus were the vital factors which influenced the coherence and cohesion between discharge planning and the service of long-term care 2.0. Among them, the most influencing factor was age. We hope that the current study will make policymakers in hospitals pay attention to the usage of the discharge planning service to link long-term care 2.0 and effectively promote the usage of long-term care 2.0.