AIM: To investigate the binocular intraocular lens (IOL) power difference in eyes with short, normal, and long axial lengths (AL) using Lenstar LS 900 optical biometry.
METHODS: A total of 716 (1432 eyes) participants were included. The groups were categorized into short (group A: AL<22 mm), normal (group B: 22 mm≤AL≤25 mm), and long AL groups (group C: AL>25 mm). The central corneal thickness (CCT), anterior chamber depth (ACD), lens thickness (LT), AL, anterior corneal keratometry, white-to-white (WTW), pupil diameter (PD), as well as IOL power calculated using embedded Barrett formula were assessed. Bland-Altman plots were used to test the agreement of the binocular parameters.
RESULTS: In group A, the CCT of the right eye was significantly thinner than that of the left eye (P=0.044) with a difference of -2±8 μm [95% limits of agreement (LoA), -17.8 to 13.2 μm]. For group B, the PD and IOL power in the right eye were significantly lower than those of the left eye (P=0.001, <0.001) with a difference of -0.05±0.32 mm (95%LoA, -0.68 to 0.58 mm) and -0.18±1.01 D (95%LoA, -2.2 to 1.8 D). The AL of right eye was longer than that of the left eye (P=0.002) with a difference of 0.04±0.25 mm (95%LoA, -0.45 to 0.52 mm). No significant difference was observed for all the binocular parameters in group C. The percentage of participants with binocular IOL power difference within ±0.5 D were 62% (31/50), 68.3% (339/496), and 38.8% (66/170) in groups A, B, and C, respectively.
CONCLUSION: The binocular parameters related to IOL power are in good agreement, but the binocular IOL power difference of more than half of participants with long AL is more than 0.50 D.
Shengmai injection (SMI) contains Ginsen Radix et Rhizoma Rubra, Ophiopogon japonicus, and Schisandrae Chinensis Fructus. It is used as a supportive herbal medicine in the management of sepsis, systemic inflammatory response syndrome, and septic or hemorrhagic shock. An UPLC method was established to identify and evaluate SMI fingerprints. Fingerprint similarities of 9 batches of SMI were compared. The network platform, “TCM-components-core targets-key pathways,” was established, and the mechanism of SMI in the treatment of sepsis was investigated. The similarity of 9 batches of SMI fingerprints was greater than 0.91. 44 peaks were selected as the common peaks, of which 11 peaks were identified. KEGG functional pathway analysis showed SMI was mainly involved in the pathways of cancer, cell cycle, and p53 signaling, suggesting SMI protects multiple organs via regulating immunity, inflammation, apoptosis, and energy metabolism. GO enrichment analysis showed active SMI components regulated various biological processes and altered the pathophysiology of sepsis. The interplays between SMI and multiple energy metabolism signaling cascades confer protection from life-threatening multiple organ failure in sepsis.
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