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      Association between statin use and osteoporotic fracture in patients with chronic obstructive pulmonary disease: a population-based, matched case-control study

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          Abstract

          Background

          In the recent years, chronic obstructive pulmonary disease (COPD) has been found to be associated with a higher risk of new-onset osteoporotic fracture (NOF). However, the existence of such an association in the COPD patients receiving statin treatment remains unknown. The present study aimed to investigate the association between COPD and NOF in statin-treated patients.

          Methods

          The present study was conducted over a period of 10 years (January 2004 to December 2013) in Taiwan. COPD patients receiving statin treatment were included in the statin user group, whereas the randomly selected statin non-users, with 1:1 matching for sex, age, index date, and Charlson Comorbidity Index, were included in the statin non-user group. The hazard ratio (HR) of NOFs in COPD patients was estimated between statin user and non-user groups.

          Results

          A total of 86,188 cases were identified as the statin-treated patients, and 86,188 subjects were included in the control group of statin non-users. Initially, the risk of NOF was found to be higher among the statin users as compared to non-users [HR, 1.12; 95% confidence interval (CI), 1.01–1.25]. However, the calculation of risk for NOFs after the adjustment for age, sex, comorbidities, and concurrent medications indicated no association of NOF (HR, 0.81; 95% CI, 0.55–1.21) with COPD in patients receiving statin treatment as compared to statin non-users.

          Conclusion

          The results of the study provided first evidence for the absence of any association between COPD and NOFs in statin-treated patients during a follow-up period of 10 years. Thus, the findings of this study might support the hypothesis stating the potent pleiotropic effects of statins. In clinical practice, these drugs might prove beneficial for the patients with COPD.

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          Most cited references30

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          Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016

          Summary Background Monitoring levels and trends in premature mortality is crucial to understanding how societies can address prominent sources of early death. The Global Burden of Disease 2016 Study (GBD 2016) provides a comprehensive assessment of cause-specific mortality for 264 causes in 195 locations from 1980 to 2016. This assessment includes evaluation of the expected epidemiological transition with changes in development and where local patterns deviate from these trends. Methods We estimated cause-specific deaths and years of life lost (YLLs) by age, sex, geography, and year. YLLs were calculated from the sum of each death multiplied by the standard life expectancy at each age. We used the GBD cause of death database composed of: vital registration (VR) data corrected for under-registration and garbage coding; national and subnational verbal autopsy (VA) studies corrected for garbage coding; and other sources including surveys and surveillance systems for specific causes such as maternal mortality. To facilitate assessment of quality, we reported on the fraction of deaths assigned to GBD Level 1 or Level 2 causes that cannot be underlying causes of death (major garbage codes) by location and year. Based on completeness, garbage coding, cause list detail, and time periods covered, we provided an overall data quality rating for each location with scores ranging from 0 stars (worst) to 5 stars (best). We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to generate estimates for each location, year, age, and sex. We assessed observed and expected levels and trends of cause-specific deaths in relation to the Socio-demographic Index (SDI), a summary indicator derived from measures of average income per capita, educational attainment, and total fertility, with locations grouped into quintiles by SDI. Relative to GBD 2015, we expanded the GBD cause hierarchy by 18 causes of death for GBD 2016. Findings The quality of available data varied by location. Data quality in 25 countries rated in the highest category (5 stars), while 48, 30, 21, and 44 countries were rated at each of the succeeding data quality levels. Vital registration or verbal autopsy data were not available in 27 countries, resulting in the assignment of a zero value for data quality. Deaths from non-communicable diseases (NCDs) represented 72·3% (95% uncertainty interval [UI] 71·2–73·2) of deaths in 2016 with 19·3% (18·5–20·4) of deaths in that year occurring from communicable, maternal, neonatal, and nutritional (CMNN) diseases and a further 8·43% (8·00–8·67) from injuries. Although age-standardised rates of death from NCDs decreased globally between 2006 and 2016, total numbers of these deaths increased; both numbers and age-standardised rates of death from CMNN causes decreased in the decade 2006–16—age-standardised rates of deaths from injuries decreased but total numbers varied little. In 2016, the three leading global causes of death in children under-5 were lower respiratory infections, neonatal preterm birth complications, and neonatal encephalopathy due to birth asphyxia and trauma, combined resulting in 1·80 million deaths (95% UI 1·59 million to 1·89 million). Between 1990 and 2016, a profound shift toward deaths at older ages occurred with a 178% (95% UI 176–181) increase in deaths in ages 90–94 years and a 210% (208–212) increase in deaths older than age 95 years. The ten leading causes by rates of age-standardised YLL significantly decreased from 2006 to 2016 (median annualised rate of change was a decrease of 2·89%); the median annualised rate of change for all other causes was lower (a decrease of 1·59%) during the same interval. Globally, the five leading causes of total YLLs in 2016 were cardiovascular diseases; diarrhoea, lower respiratory infections, and other common infectious diseases; neoplasms; neonatal disorders; and HIV/AIDS and tuberculosis. At a finer level of disaggregation within cause groupings, the ten leading causes of total YLLs in 2016 were ischaemic heart disease, cerebrovascular disease, lower respiratory infections, diarrhoeal diseases, road injuries, malaria, neonatal preterm birth complications, HIV/AIDS, chronic obstructive pulmonary disease, and neonatal encephalopathy due to birth asphyxia and trauma. Ischaemic heart disease was the leading cause of total YLLs in 113 countries for men and 97 countries for women. Comparisons of observed levels of YLLs by countries, relative to the level of YLLs expected on the basis of SDI alone, highlighted distinct regional patterns including the greater than expected level of YLLs from malaria and from HIV/AIDS across sub-Saharan Africa; diabetes mellitus, especially in Oceania; interpersonal violence, notably within Latin America and the Caribbean; and cardiomyopathy and myocarditis, particularly in eastern and central Europe. The level of YLLs from ischaemic heart disease was less than expected in 117 of 195 locations. Other leading causes of YLLs for which YLLs were notably lower than expected included neonatal preterm birth complications in many locations in both south Asia and southeast Asia, and cerebrovascular disease in western Europe. Interpretation The past 37 years have featured declining rates of communicable, maternal, neonatal, and nutritional diseases across all quintiles of SDI, with faster than expected gains for many locations relative to their SDI. A global shift towards deaths at older ages suggests success in reducing many causes of early death. YLLs have increased globally for causes such as diabetes mellitus or some neoplasms, and in some locations for causes such as drug use disorders, and conflict and terrorism. Increasing levels of YLLs might reflect outcomes from conditions that required high levels of care but for which effective treatments remain elusive, potentially increasing costs to health systems. Funding Bill & Melinda Gates Foundation.
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            Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study

            The Lancet, 349(9064), 1498-1504
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              High Bone Mineral Density and Fracture Risk in Type 2 Diabetes as Skeletal Complications of Inadequate Glucose Control

              OBJECTIVE Individuals with type 2 diabetes have increased fracture risk despite higher bone mineral density (BMD). Our aim was to examine the influence of glucose control on skeletal complications. RESEARCH DESIGN AND METHODS Data of 4,135 participants of the Rotterdam Study, a prospective population-based cohort, were available (mean follow-up 12.2 years). At baseline, 420 participants with type 2 diabetes were classified by glucose control (according to HbA1c calculated from fructosamine), resulting in three comparison groups: adequately controlled diabetes (ACD; n = 203; HbA1c <7.5%), inadequately controlled diabetes (ICD; n = 217; HbA1c ≥7.5%), and no diabetes (n = 3,715). Models adjusted for sex, age, height, and weight (and femoral neck BMD) were used to test for differences in bone parameters and fracture risk (hazard ratio [HR] [95% CI]). RESULTS The ICD group had 1.1–5.6% higher BMD, 4.6–5.6% thicker cortices, and −1.2 to −1.8% narrower femoral necks than ACD and ND, respectively. Participants with ICD had 47–62% higher fracture risk than individuals without diabetes (HR 1.47 [1.12–1.92]) and ACD (1.62 [1.09–2.40]), whereas those with ACD had a risk similar to those without diabetes (0.91 [0.67–1.23]). CONCLUSIONS Poor glycemic control in type 2 diabetes is associated with fracture risk, high BMD, and thicker femoral cortices in narrower bones. We postulate that fragility in apparently “strong” bones in ICD can result from microcrack accumulation and/or cortical porosity, reflecting impaired bone repair.
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                Author and article information

                Contributors
                cgp8009@yahoo.com.tw
                Journal
                Lipids Health Dis
                Lipids Health Dis
                Lipids in Health and Disease
                BioMed Central (London )
                1476-511X
                3 November 2020
                3 November 2020
                2020
                : 19
                : 232
                Affiliations
                [1 ]GRID grid.254145.3, ISNI 0000 0001 0083 6092, Department of Pharmacy, , China Medical University, ; Taichung, Taiwan, Republic of China
                [2 ]GRID grid.452258.c, ISNI 0000 0004 1757 6321, Department of Pharmacy, , China Medical University Beigang Hospital, ; Yunlin County, Taiwan, Republic of China
                [3 ]GRID grid.412896.0, ISNI 0000 0000 9337 0481, Department of Pharmacy, Wan Fang Hospital, , Taipei Medical University, ; Taipei, Taiwan, Republic of China
                [4 ]GRID grid.413912.c, ISNI 0000 0004 1808 2366, Department of Pharmacy, Taoyuan Armed Forces General Hospital, ; Taoyuan, Taiwan, Republic of China
                [5 ]GRID grid.260565.2, ISNI 0000 0004 0634 0356, School of Pharmacy, , National Defense Medical Center, ; Taipei, Taiwan, Republic of China
                [6 ]GRID grid.411645.3, ISNI 0000 0004 0638 9256, Department of Internal Medicine, , Chung Shan Medical University Hospital and Chung Shan Medical University, ; Taichung, Taiwan, Republic of China
                Author information
                http://orcid.org/0000-0002-7786-5497
                Article
                1412
                10.1186/s12944-020-01412-6
                7641811
                33143674
                9eca667f-b955-473a-be8f-104aaa67d4cf
                © The Author(s) 2020

                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
                : 2 September 2020
                : 26 October 2020
                Funding
                Funded by: Taoyuan Armed Forces General Hospital
                Award ID: AFTYGH-10837
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Biochemistry
                chronic obstructive pulmonary disease,osteoporosis fracture,statin,dyslipidemia,case-control study,cohort study,taiwan

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