Cardiovascular outcomes between dapagliflozin versus empagliflozin in patients with diabetes mellitus.

BACKGROUND: Sodium-glucose co-transporter 2 (SGLT2) inhibitors have been demonstrated to decrease cardiovascular adverse events. However, there is little real-world clinical evidence regarding a direct comparison between dapagliflozin and empagliflozin in patients with diabetes mellitus (DM). HYPOTHESIS: A difference in the cardiovascular efficancy of dapagliflozin versus empagliflozin in DM patients was anticipated, aiming to guide the optimal choice of SGLT2 inhibitors based on cardiovascular outcomes. METHODS: From 2014 to 2020, a total of 1549 patients with DM who were prescribed SGLT2 inhibitors such as dapagliflozin or empagliflozin were retrospectively enrolled. We categorized the study population into two groups: dapagliflozin (n = 981) and empagliflozin group (n = 568). The primary endpoint was major adverse cardiovascular events (MACE), defined as a composite of all-cause death, myocardial infarction (MI), stroke, or hospitalization for heart failure (HF) over a 3-year period. RESULTS: Propensity-score matching was performed (537 patients in each group). The mean age and hemoglobin A1c were 58.2 ± 13.0 years and 8.4 ± 1.7%, respectively. There was no significant difference between the dapagliflozin and empagliflozin groups in the risk of MACE (3.7% vs. 4.8%, hazard ratio [HR], 1.31; 95% confidence interval [CI], 0.73-2.35; p = 0.349). Furthermore, there were no differences between the two groups in secondary endpoints including all-cause death, MI, stroke, and hospitalization for HF. Prior MI and history of HF were independent predictors of MACE. CONCLUSIONS: Dapagliflozin and empagliflozin showed no significant difference of real-world clinical cardiovascular outcomes in patients with DM over a 3-year period. Further large randomized clinical trials will be warranted for better evaluation.

Comparison of surgically induced astigmatism between anterior and total cornea in 2.2 mm steep meridian incision cataract surgery.

BACKGROUND: This study aimed to compare surgically induced astigmatism (SIA) on the anterior and total cornea during cataract surgery through a 2.2 mm steep meridian incision. METHODS: The study included 69 left eyes of 69 patients who had undergone cataract surgery. The 69 eyes were classified into three subgroups according to the preoperative steep meridian. Following phacoemulsification, an intraocular lens was inserted into the bag. The keratometric measurements were taken 12 months postoperatively, on the anterior cornea (automated keratometer and anterior keratometry [K] from a rotating Scheimpflug camera) and total cornea (equivalent K reading [EKR] 3.0 mm, EKR 4.5 mm, total corneal refractive power (TCRP) 2.0 mm ring, TCRP 3.0 mm zone, TCRP 4.0 mm zone). The SIA was analyzed for each parameter. RESULTS: On the double-angle polar plot, the summated vector mean values of SIA determined by the automated keratometer and Scheimpflug anterior K were 0.28 diopter (axis: 177°) and 0.37 diopter (axis: 175°) in with-the-rule (WTR) astigmatism; 0.03 diopter (axis: 156°) and 0.18 diopter (axis: 177°) in oblique astigmatism; 0.15 diopter (axis: 96°) and 0.17 diopter (axis: 73°) in against-the-rule (ATR) astigmatism. The mean SIAs on the total cornea ranged from 0.31 to 0.42 diopter in WTR astigmatism; from 0.16 to 0.27 diopter in oblique astigmatism; from 0.04 to 0.11 diopter in ATR astigmatism. Mean magnitude SIA ranged from 0.41 to 0.46 diopter on anterior corneal surface and 0.50 to 0.62 diopter on total cornea. J0 and J45 of the posterior cornea showed no significant changes after cataract surgery, and the changes in J0 and J45 did not show any statistical differences between the anterior and total cornea (all p > 0.05). CONCLUSIONS: There were no differences in the summed vector mean values of SIA between the anterior cornea and the total cornea.

A band-gap database for semiconducting inorganic materials calculated with hybrid functional.

Semiconducting inorganic materials with band gaps ranging between 0 and 5 eV constitute major components in electronic, optoelectronic and photovoltaic devices. Since the band gap is a primary material property that affects the device performance, large band-gap databases are useful in selecting optimal materials in each application. While there exist several band-gap databases that are theoretically compiled by density-functional-theory calculations, they suffer from computational limitations such as band-gap underestimation and metastable magnetism. In this data descriptor, we present a computational database of band gaps for 10,481 materials compiled by applying a hybrid functional and considering the stable magnetic ordering. For benchmark materials, the root-mean-square error in reference to experimental data is 0.36 eV, significantly smaller than 0.75-1.05 eV in the existing databases. Furthermore, we identify many small-gap materials that are misclassified as metals in other databases. By providing accurate band gaps, the present database will be useful in screening materials in diverse applications.