Douglasbuch4517

"Unmet healthcare needs" refers to the situation in which patients or citizens cannot fulfill their medical needs, likely due to socioeconomic reasons. The purpose of this study was to analyze factors related to unmet healthcare needs among South Korean adults.

We used a retrospective cross-sectional study design. This nationwide-based study included the data of 26,598 participants aged 19years and older, which were obtained from the 2013-2017 Korea National Health and Nutrition Examination Surveys. Using multiple logistic regression models, we analyzed the associations between factors that influence unmet healthcare needs and participants' subgroups.

Despite South Korea's universal health insurance system, in 2017, 9.5% of South Koreans experienced unmet healthcare needs. In both the male and female groups, younger people (age 19-39) had a higher odds ratio (OR) of experiencing unmet healthcare needs compared to older people (reference age ≥ 60) (men OR 1.83, 95% confidence interval [CI] = 1.35-2.48; women OR 1.42, 95% CI 1.12-1.81). In particular, unlike men, women's unmet healthcare needs increased as their incomes decreased (1 quartile OR 1.55, 2 quartiles OR 1.29, 3 quartiles OR 1.26). Men and women showed a tendency to have more unmet healthcare needs with less exercise, worse subjective health state, worse pain, and a higher degree of depression.

The contributing factors of unmet healthcare needs included having a low socioeconomic status, high stress, severe pain, and severe depression. Considering our findings, we suggest improving healthcare access for those with low socioeconomic status.

The contributing factors of unmet healthcare needs included having a low socioeconomic status, high stress, severe pain, and severe depression. Considering our findings, we suggest improving healthcare access for those with low socioeconomic status.Muscle wasting, low protein intake, hypoalbuminemia, low body mass, and chronic fatigue are prevalent in hemodialysis patients. Impaired creatine status may be an often overlooked, potential contributor to these symptoms. However, little is known about creatine homeostasis in hemodialysis patients. We aimed to elucidate creatine homeostasis in hemodialysis patients by assessing intradialytic plasma changes as well as intra- and interdialytic losses of arginine, guanidinoacetate, creatine and creatinine. Additionally, we investigated associations of plasma creatine concentrations with low muscle mass, low protein intake, hypoalbuminemia, low body mass index, and chronic fatigue. Arginine, guanidinoacetate, creatine and creatinine were measured in plasma, dialysate, and urinary samples of 59 hemodialysis patients. Mean age was 65 ± 15 years and 63% were male. During hemodialysis, plasma concentrations of arginine (77 ± 22 to 60 ± 19 μmol/L), guanidinoacetate (1.8 ± 0.6 to 1.0 ± 0.3 μmol/L), creatine (26 [16-41] to 21 [15-30] μmol/L) and creatinine (689 ± 207 to 257 ± 92 μmol/L) decreased (all P  less then  0.001). During a hemodialysis session, patients lost 1939 ± 871 μmol arginine, 37 ± 20 μmol guanidinoacetate, 719 [399-1070] μmol creatine and 15.5 ± 8.4 mmol creatinine. In sex-adjusted models, lower plasma creatine was associated with a higher odds of low muscle mass (OR per halving 2.00 [1.05-4.14]; P = 0.04), low protein intake (OR 2.13 [1.17-4.27]; P = 0.02), hypoalbuminemia (OR 3.13 [1.46-8.02]; P = 0.008) and severe fatigue (OR 3.20 [1.52-8.05]; P = 0.006). After adjustment for potential confounders, these associations remained materially unchanged. Creatine is iatrogenically removed during hemodialysis and lower plasma creatine concentrations were associated with higher odds of low muscle mass, low protein intake, hypoalbuminemia, and severe fatigue, indicating a potential role for creatine supplementation.

Epigenetic dysregulation plays important roles in leukemogenesis and the progression of acute myeloid leukemia (AML). Histone acetyltransferases (HATs) and histone deacetylases (HDACs) reciprocally regulate the acetylation and deacetylation of nuclear histones. Aberrant activation of HDACs results in uncontrolled proliferation and blockade of differentiation, and HDAC inhibition has been investigated as epigenetic therapeutic strategy against AML.

Cell growth was assessed with CCK-8 assay, and apoptosis was evaluated by flow cytometry in AML cell lines and CD45 + and CD34 + CD38- cells from patient samples after staining with Annexin V-fluorescein isothiocyanate (FITC)/propidium iodide (PI). EZH2 was silenced with short hairpin RNA (shRNA) or overexpressed by lentiviral transfection. Changes in signaling pathways were detected by western blotting. The effect of chidamide or EZH2-specific shRNA (shEZH2) in combination with adriamycin was studied in vivo in leukemia-bearing nude mouse models.

In this studa activity and increases the chemosensitivity to adriamycin through Smo/Gli-1 pathway in AML cells (Fig. 5). These findings support the rational combination of HDAC inhibitors and chemotherapy for the treatment of AML.

Electronic cigarettes ("e-cigarettes") have altered tobacco smoking trends, and their impacts are controversial. Given their lower risk relative to combustible tobacco, e-cigarettes have potential for harm reduction. This study presents a simulation-based analysis of an e-cigarette harm reduction policy set in the USA.

A system dynamics simulation model was constructed, with separate aging chains representing people in different stages of use (both of combustible cigarettes and e-cigarettes). These structures interact with a policy module to close the gap between actual (simulated) and goal numbers of individuals who smoke, chosen to reduce the tobacco-attributable death rate (i.e., mostly combustible cigarette-attributable, but conservatively allowing e-cigarette-attributable deaths) to that due to all accidents in the general population. The policy is two-fold, removing existing e-liquid flavor bans and providing an informational campaign promoting e-cigarettes as a lower-risk alternative. Foscenvivint Realistic practical implementation challenges are modeled in the policy sector, including time delays, political resistance, and budgetary limitations.