Purpose: LDL-lowering therapy is beneficial to reduce the risk of cardiovascular disease (CVD). Higher statin doses lower LDL-C levels and prevent CVD; however, they increase adverse events, such as muscle-related adverse events and new-onset diabetes mellitus (DM). Ezetimibe combined with statin therapy improves LDL-C-lowering levels and tolerability in patients with established CVD. We aimed to analyze the efficacy and safety of a fixed-dose rosuvastatin and ezetimibe (R+E) combination therapy in intermediate-risk patients with hypercholesterolemia and no DM after 12 months of visiting a primary physician.
Methods: This multicenter, open-label, single-arm, prospective observational study involved 5717 patients from 258 primary health care centers in Korea enrolled between 2016 and 2018. Patients had no DM or previous CVD but had cardiovascular risk factors and were taking a statin or a fixed-dose combination of E (10 mg) + R (5, 10, or 20 mg). We analyzed 700 patients using propensity score matching.
Findings: A fixed-dose R+E combination therapy significantly reduced LDL-C in 5/10 mg R+E (29.35%), 10/10 mg R+E (36.19%), and 20/10 mg R+E (41.83%) compared with statin monotherapy (19.09%) at 12-month follow-up (P = 0.017). Compared with statin monotherapy, HDL-C levels increased in 5/10 mg R+E (mean change at 12 months; P = 0.004), and triglyceride levels decreased in 10/10 mg R+E (mean change at 12 months; P = 0.033). The fixed-dose R+E combination therapy was associated with fewer adverse events and a neutral effect on glucose deterioration compared with statin monotherapy at 12 months of follow-up.
Implications: In a possible paradigm shift, a fixed-dose R+E combination therapy may be beneficial for primary cardiovascular prevention with potent LDL-lowering efficacy and tolerability; however, further large prospective studies are needed.
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http://dx.doi.org/10.1016/j.clinthera.2022.03.004 | DOI Listing |
Indian J Crit Care Med
September 2019
Department of Plastic Surgery, Apollo Specialty Hospitals, Vanagaram, Chennai, Tamil Nadu, India.
Background: The burden of infections among burns patients is higher in healthcare settings due to partial or complete loss of skin as a physical barrier among these patients. We intend to present microbiological profile of patients admitted to a tertiary care hospital in South India.
Aim: To describe microbiological profile of infections and antimicrobial susceptibility pattern of clinical isolates from burns patients in our tertiary care hospital.
J Med Syst
September 2017
DCSE, Anna University, Chennai-25, India.
Subunit segmenting and modelling in medical sign language is one of the important studies in linguistic-oriented and vision-based Sign Language Recognition (SLR). Many efforts were made in the precedent to focus the functional subunits from the view of linguistic syllables but the problem is implementing such subunit extraction using syllables is not feasible in real-world computer vision techniques. And also, the present recognition systems are designed in such a way that it can detect the signer dependent actions under restricted and laboratory conditions.
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