BACKGROUND:The micro-ecological environment has been broken when the ocular prosthesis was inset into the conjunctival sac. The recede of self cleaning function is more conducive to the microbial growth and colonization. The cleaning of plaque biofilm on ocular prosthesis surface affects the patient's wearing comfort and quality of life. It is necessary to seek an effective cleaning method. OBJECTIVE:To compare the clearance effect of five cleaning methods on the palque biofilm on ocular prosthesis surface. METHODS: The conjunctival secretions from 84 patients who were subjected to ocular prosthesis repair were taken for bacterial culture and identification. Fifty pieces of self-curing resin and thermosetting resin artificial eyes were produced. The artificial eyes in each group were randomly divided into five groups, and were cleaned respectively with clear water, volume fraction of 75% ethanol, Boston SIMPLUS, polident and toothpaste. After the completion of the cleaning, the test piece was conducted residual biofilm culture. The clearance effects of different processing modes were evaluated using colony counting method. RESULTS AND CONCLUSION: Eighty-four specimens were submitted for inspection, of which 49 were positive. The Staphylococcusaureus separation rate was 14.29%.Staphylococcus epidermidis separation rate accounted for 13.10%. Maxwel Corynebacterium separation rate accounted for 7.14%. When water, Boston SIMPLUS and toothpaste were used for cleaning, theStaphylococcus aureus colony number in the self-curing resin group was higher than that in the thermosetting resin group (P< 0.05); when ethanol and polident were used for cleaning, there was no difference in the Staphylococcus aureus colony number between these two groups. In self-curing resin, the colony count in the clear water treatment group was higher than that in the other treatment groups (P < 0.05). The colony count in the ethanol treatment group was lower than that in the Boston SIMPLUS group (P < 0.05). There was no significant difference in the colony count between other groups. In thermosetting resin, the colony count in the clear water treatment group was higher than that in the other treatment groups (P < 0.05). There was no significant difference in the colony count between other groups. These results demonstrate that ethanol, Boston SIMPLUS, polident and toothpaste have better cleaning effects onStaphylococcus aureusbiofilms on the surface of two kinds of ocular prostheses than the clear water rinse. Overal, it is encouraged to clean the artificial eyes using polident and Boston SIMPLUS, in order to avoid the occurrence of microbial infection in the conjunctival sac after wearing ocular prosthesis.

BACKGROUND:The physical properties of macromolecule ocular prosthesis materials, such as density, hardness, mechanical strength, can affect the working accuracy of ocular prosthesis and can also affect the surface roughness of ocular prosthesis, thus affecting the comfort when the patients wear.
OBJECTIVE:To study the differences of different macromolecule ocular prosthesis materials in bubble generation rate, hardness and surface roughness.
METHODS:Thirty-seven test pieces, 30 mm×30 mm×2 mm, were made and then divided to seven groups according to their brands, caled groups A, B, C, D, E, F, G, each group of five pieces. One surface of each test piece was polished in accordance with the principle of coarse to fine, the surface roughness of the two surfaces and hardness on the polished surface were measured, and then the bubble formation rate of the material was calculated.
RESULTS AND CONCLUSION:The surface roughness values of groups A-G were (0.078±0.016), (0.074±0.019), (0.075±0.022), (0.066±0.020), (0.075±0.017), (0.068±0.015), and (0.067±0.017) μm, respectively. There was no significant difference in the surface roughness between the groups (P > 0.05). The hardness values of groups A-G were 766.92±3.71, 771.84±14.51, 791.20±9.64, 804.50±4.49, 779.00±17.92, 772.20±19.18, 704.00±7.23, respectively. There was a significant difference in the hardness between groups D, G and the other groups (P < 0.05) as wel as between group D and group G (P < 0.05), but there was no significant difference between the other groups (P > 0.05). The bubble generation rates of groups A-G were (8.87±0.29)%, (8.29±1.02)%, (6.94±0.43)%, (4.83±0.20)%, (7.59±0.19)%, (8.61±0.25)%, (4.89±0.17)%, respectively. There was a significant difference in the bubble generation rate between groups D, G and the other groups (P < 0.05), but there was no significant difference between group D and group G (P > 0.05), as wel as between the other groups (P > 0.05). To a certain extent, the smaler the bubble formation rate is, the greater the hardness and the smaler the surface roughness are.

Stroke-related sarcopenia (SRS) is a secondary sarcopenia caused by stroke, typically characterized by a rapid decline in muscle mass and structural changes following the onset of stroke. At present, there is a lack of clinical research on the diagnosis and treatment of SRS, and its mechanism of occurrence is complex, which cannot be explained by post-stroke apraxia alone, leading to significant difficulties in screening and intervening in SRS. This article reviews the pathogenesis, specific manifestations, screening, risk factors and predictive biomarkers of SRS, its impact on patients, and possible prevention and intervention strategies.