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      Optimal statin use for prevention of sepsis in type 2 diabetes mellitus

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          Abstract

          Purpose

          To investigate the dose-dependent protective effects of statins, specific classes of statins, and different intensities of statin use on sepsis risk in patients with type 2 diabetes mellitus (T2DM).

          Methods

          We included patients with T2DM aged  ≥ 40 years. Statin use was defined as the use of statin on most days for  > 1 months with a mean statin dose of  ≥ 28 cumulative defined daily doses (cDDDs) per year (cDDD-year). An inverse probability of treatment-weighted Cox hazard model was used to investigate the effects of statin use on sepsis and septic shock while considering statin use status as a time-dependent variable.

          Results

          From 2008 to 2020, a total of 812 420 patients were diagnosed as having T2DM. Among these patients, 118,765 (27.79%) statin nonusers and 50 804 (12.03%) statin users developed sepsis. Septic shock occurred in 42,755 (10.39%) individuals who did not use statins and 16,765 (4.18%) individuals who used statins. Overall, statin users had a lower prevalence of sepsis than did nonusers. The adjusted hazard ratio (aHR) of statin use was 0.37 (95% CI 0.35, 0.38) for sepsis compared with no statin use. Compared with the patients not using statins, those using different classes of statins exhibited a more significant reduction in sepsis, with aHRs (95% CIs) of sepsis being 0.09 (0.05, 0.14), 0.32 (0.31, 0.34), 0.34 (0.32, 0.36), 0.35 (0.32, 0.37), 0.37 (0.34, 0.39), 0.42 (0.38, 0.44), and 0.54 (0.51, 0.56) for pitavastatin, pravastatin, rosuvastatin, atorvastatin, simvastatin, fluvastatin, and lovastatin use, respectively. In the patients with different cDDD-years of statins, multivariate analysis indicated a significant reduction in sepsis, with aHRs of 0.53 (0.52, 0.57), 0.40 (0.39, 0.43), 0.29 (0.27, 0.30), and 0.17 (0.15, 0.19) for Q1, Q2, Q3, and Q4 cDDD-years ( P for trend < 0.0001). The optimal daily statin dose of 0.84 DDD was associated with the lowest aHR. Similar trends of higher cDDD-year and specific statin types use were associated with a decrease in septic shock when compared to statin non-users.

          Conclusion

          Our real-world evidence demonstrated that the persistent use of statins reduced sepsis and septic shock risk in patients with T2DM and a higher cDDD-year of statin use was associated with an increased reduction of sepsis and septic shock risk in these patients.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13098-023-01041-w.

          Keypoints

          Question : Is any real-world evidence of the dose-dependent protective effects of the use of specific classes and intensities of statins on sepsis in type 2 diabetes mellitus (T2DM) available?

          Findings: Our study demonstrated that the persistent use of statins (≥28 cumulative defined daily doses per year [cDDD-year]) reduced sepsis risk in T2DM. A higher cDDD-year of statins was associated with greater reduction of sepsis risk in patients with T2DM. Pitavastatin exerted the strongest protective effect on mortality, followed by pravastatin, rosuvastatin, atorvastatin, simvastatin, fluvastatin, and lovastatin. The optimal daily statin dose of 0.84 DDD was associated with the lowest sepsis risk.

          Meaning: This is the first study to demonstrate the dose- and intensity-dependent protective effects of different classes of statins on sepsis risk in patients with T2DM.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13098-023-01041-w.

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          Most cited references50

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          Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity.

          A cluster of risk factors for cardiovascular disease and type 2 diabetes mellitus, which occur together more often than by chance alone, have become known as the metabolic syndrome. The risk factors include raised blood pressure, dyslipidemia (raised triglycerides and lowered high-density lipoprotein cholesterol), raised fasting glucose, and central obesity. Various diagnostic criteria have been proposed by different organizations over the past decade. Most recently, these have come from the International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute. The main difference concerns the measure for central obesity, with this being an obligatory component in the International Diabetes Federation definition, lower than in the American Heart Association/National Heart, Lung, and Blood Institute criteria, and ethnic specific. The present article represents the outcome of a meeting between several major organizations in an attempt to unify criteria. It was agreed that there should not be an obligatory component, but that waist measurement would continue to be a useful preliminary screening tool. Three abnormal findings out of 5 would qualify a person for the metabolic syndrome. A single set of cut points would be used for all components except waist circumference, for which further work is required. In the interim, national or regional cut points for waist circumference can be used.
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            Type 2 diabetes.

            415 million people live with diabetes worldwide, and an estimated 193 million people have undiagnosed diabetes. Type 2 diabetes accounts for more than 90% of patients with diabetes and leads to microvascular and macrovascular complications that cause profound psychological and physical distress to both patients and carers and put a huge burden on health-care systems. Despite increasing knowledge regarding risk factors for type 2 diabetes and evidence for successful prevention programmes, the incidence and prevalence of the disease continues to rise globally. Early detection through screening programmes and the availability of safe and effective therapies reduces morbidity and mortality by preventing or delaying complications. Increased understanding of specific diabetes phenotypes and genotypes might result in more specific and tailored management of patients with type 2 diabetes, as has been shown in patients with maturity onset diabetes of the young. In this Seminar, we describe recent developments in the diagnosis and management of type 2 diabetes, existing controversies, and future directions of care.
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              Marginal structural models and causal inference in epidemiology.

              In observational studies with exposures or treatments that vary over time, standard approaches for adjustment of confounding are biased when there exist time-dependent confounders that are also affected by previous treatment. This paper introduces marginal structural models, a new class of causal models that allow for improved adjustment of confounding in those situations. The parameters of a marginal structural model can be consistently estimated using a new class of estimators, the inverse-probability-of-treatment weighted estimators.
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                Author and article information

                Contributors
                szuyuanwu5399@gmail.com
                szuyuanwu5399@gmail.com
                zhangjiq@zzu.edu.cn
                Journal
                Diabetol Metab Syndr
                Diabetol Metab Syndr
                Diabetology & Metabolic Syndrome
                BioMed Central (London )
                1758-5996
                19 April 2023
                19 April 2023
                2023
                : 15
                : 75
                Affiliations
                [1 ]GRID grid.414011.1, ISNI 0000 0004 1808 090X, Department of Anesthesiology and Perioperative Medicine, , Zhengzhou University People’s Hospital, Henan University People’s Hospital, Henan Provincial People’s Hospital, ; Zhengzhou, China
                [2 ]GRID grid.256105.5, ISNI 0000 0004 1937 1063, Graduate Institute of Business Administration, College of Management, , Fu Jen Catholic University, ; Taipei, Taiwan
                [3 ]GRID grid.256105.5, ISNI 0000 0004 1937 1063, Artificial Intelligence Development Center, , Fu Jen Catholic University, ; Taipei, Taiwan
                [4 ]GRID grid.252470.6, ISNI 0000 0000 9263 9645, Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, , Asia University, ; Taichung, Taiwan
                [5 ]GRID grid.416104.6, Division of Radiation Oncology, , Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, ; Yilan, Taiwan
                [6 ]GRID grid.416104.6, Big Data Center, , Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, ; No. 83, Nanchang St., Luodong Township, Yilan County, 265 Taiwan
                [7 ]GRID grid.252470.6, ISNI 0000 0000 9263 9645, Department of Healthcare Administration, College of Medical and Health Science, , Asia University, ; Taichung, Taiwan
                [8 ]GRID grid.416104.6, Cancer Center, , Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, ; Yilan, Taiwan
                [9 ]GRID grid.412896.0, ISNI 0000 0000 9337 0481, Centers for Regional Anesthesia and Pain Medicine, , Taipei Municipal Wan Fang Hospital, Taipei Medical University, ; Taipei, Taiwan
                [10 ]GRID grid.445034.2, ISNI 0000 0004 0610 1662, Department of Management, College of Management, , Fo Guang University, ; Yilan, Taiwan
                Article
                1041
                10.1186/s13098-023-01041-w
                10114454
                37072863
                afa42c87-a184-433c-aae4-9432675b0e02
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 15 February 2023
                : 24 March 2023
                Funding
                Funded by: Lo-Hsu Medical Foundation and LotungPoh-Ai Hospital
                Award ID: 10908, 10909, 11001, 11002, 11003, 11006, and 11013
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Nutrition & Dietetics
                t2dm,dose-dependent,statins,intensity,sepsis
                Nutrition & Dietetics
                t2dm, dose-dependent, statins, intensity, sepsis

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