Pain is a common health problem for hospitalized patients. It is necessary to understand the factors that affect patients’ pain to provide individual and complete pain management. This study explored the severity and incidence of pain in hospitalized patients on the admission day, during the hospitalization, and the discharge day, and explored the predictive factors that affect the patient's pain on the discharge day. This was a retrospective study that reviewed the medical records of 73,814 hospitalized patients from January 2016 to April 2018. The number of pain assessments was 471,339. The incidence of pain on the discharge day of patients was significantly higher than that on the admission day. The factors that affect and predict the pain of patients on discharge day include the degree of pain on the day of admission, emotional distress on the day of discharge, disease category, gender, age, and length of stay in hospital. It shows that the higher the degree of pain on the day of admission, the higher the degree of emotional distress on the day of discharge, female patients, younger patients, longer hospitalization days, and surgical and gynecological patients have significantly higher pain levels on the day of discharge (P < .05). This study found that the incidence of pain on the discharge day of patients was 46.5%. Previous pain level, disease category, emotional distress, gender, age, and length of hospital stay were important factors affecting patient pain on the discharge day. The influencing factors of patient pain should be fully assessed to provide individual and complete pain management, and improve patient quality of life after discharge.

Hepatitis B virus X protein (HBx) has been termed a viral oncoprotein, and is involved in the initiation and progression of hepatocellular carcinoma (HCC). Cyclooxygenase‑2 (COX‑2) and β‑catenin have been attributed to the oncogenic activity of HBx in HBV‑associated HCC. The present study aimed to determine whether there is crosstalk between COX‑2 and the Wnt/β‑catenin signaling pathway during HL‑7702‑HBx cell proliferation, and to investigate the associated underlying molecular mechanism. In the present study, cell proliferation assay, colony formation assay and flow cytometric analysis were used to detect the proliferative ability of cells. Reverse transcription‑quantitative polymerase chain reaction and western blotting were performed to examine the mRNA and protein expression of COX‑2, β‑catenin, cyclin‑D1 and c‑myc. The results demonstrated that HL‑7702‑HBx exhibited increased cell proliferation, higher colony formation efficiency and a shortened G1 period of the cell cycle. In addition, the mRNA and protein expression levels of COX‑2 were increased, and this was associated with HL‑7702‑HBx cell growth. Furthermore, the expression of β‑catenin and its target genes, cyclin‑D1 and c‑myc proto‑oncogene protein, was upregulated by HBx via COX‑2. Finally, HBx promoted HL‑7702 cell proliferation through the Wnt/β‑catenin signaling pathway. In conclusion, the primary finding of the present study was that HBx may promote HL‑7702 cell proliferation via the COX‑2/Wnt/β‑catenin pathway. Thus, it may be helpful to further investigate the molecular mechanism of HBV‑associated hepatocellular carcinoma.

Background: Controlling HbA1c can help reduce the symptoms and complications of diabetes. However, only about 25% of adults with diabetes achieve this diabetes care goal. It can be seen that diabetes requires more research investment and breakthroughs, as well as a more complete discussion of related factors that affect diabetes control, in order to better control the disease. This study explored the effects of diabetes self-care behavior, healthy lifestyle, diabetes symptoms, social support, demographic variables, and physical examination values on HbA1c levels in individuals with type 2 diabetes. Methods: This study used a cross-sectional design and recruited 305 subjects with type 2 diabetes at a medical center. Personal data were collected using a structured questionnaire and same-day outpatient medical records. Results: Multiple linear regression analysis identified significant predictors of HbA1c levels. These include insulin treatment ( P < .001), age ( P < .001), gender ( P < .001), diabetes duration ( P = .003), proteinuria ( P < .001), diabetes self-care behaviors ( P = .021), physical activity (running; P = .018), and spousal involvement in care ( P = .031). Female gender, insulin treatment, longer diabetes duration, spousal involvement in care, and the presence of proteinuria were positively associated with higher HbA1c levels. In contrast, higher age, better diabetes self-care behaviors, and regular physical activity (running) were associated with lower HbA1c levels. These findings underscore the importance of considering both demographic factors and lifestyle behaviors in the management of HbA1c levels. Conclusions: For reasons that hinder subjects from controlling HbA1c levels, individual self-management intervention programs should be provided to improve the effectiveness of subjects in controlling HbA1c levels. The care giver should be included in the educational program of diabetes management. Running exercise contributes to the control of HbA1c levels.