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      Chinese patients’ clinical and psychosocial outcomes in the 6 months following percutaneous coronary intervention

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          Abstract

          Background

          In China, there has been a precipitous increase in the number of percutaneous coronary interventions (PCI) conducted. We sought to characterize the clinical and psychosocial trajectory of PCI patients from the time of procedure through 6 months post, and correlates of adverse cardiovascular events (ACEs).

          Methods

          In this prospective, observational study, patients from 2 hospitals in Shanghai, China were assessed. At follow-up visits at 1, 3 and 6 months post-PCI, clinical indicators were again extracted from patients’ clinical records, including ACEs, and they completed validated surveys assessing self-management, as well as psychosocial indicators (Hospital Anxiety and Depression Scale; Pittsburgh Sleep Quality Index; quality of life [QoL]: SF-12, Seattle Angina Questionnaire [SAQ]). Repeated measures analysis of variance, adjusted for Barthel index and PCI indication, was used to assess change over time in risk factors and psychosocial indicators. Logistic regression was used to explore correlates of ACEs.

          Results

          610 participants (mean age = 63.3; n = 150, 18.2% female) were recruited, of which 491 (80.5%) were retained at 6 months. 82 (16.7%) had an ACE at any time point, including most commonly angina and stroke (only 1 death). Clinical indicators such as blood pressure (p < 0.031 for both), symptom burden (p < .01 on all subscales) and QoL (p < 0.001 for both, but started quite low) improved over 6 months. Anxiety and depressive symptoms were above threshold, and the latter worsened over time (p < 0.001). With adjustment for age and indication, patients with any ACEs had higher sleep latency (odds ratio [OR] = 1.48; 95% confidence interval [CI] = 1.03–2.10]), and depressive symptoms (OR = 1.20; 95% CI = 1.02–1.41), but lower anxiety (OR = 0.79; 95% CI = 0.67–0.93) compared to those without.

          Conclusion

          Centers may wish to re-visit patient selection criteria and processes for PCI, as well as implement mental health screening and treatment protocols, as can be achieved through cardiac rehabilitation, given how hazardous psychosocial distress is in this population.

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          Most cited references29

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          Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

          Summary Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries—Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5–23·9), representing an additional 7·61 million (7·20–8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0–8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0–24·0) and the death rate by 31·8% (30·1–33·3). Total deaths from injuries increased by 2·3% (0·5–4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2–15·1) to 57·9 deaths (55·9–59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000–289 000) globally in 2007 to 352 000 (334 000–363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8–148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2–40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2–36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990—neonatal disorders, lower respiratory infections, and diarrhoeal diseases—were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Funding Bill & Melinda Gates Foundation.
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            Burden of Cardiovascular Diseases in China, 1990-2016

            Cardiovascular disease (CVD) remains the top cause of death in China. To our knowledge, no consistent and comparable assessments of CVD burden have been produced at subnational levels, and little is understood about the spatial patterns and temporal trends of CVD in China.
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              Depression and the Link with Cardiovascular Disease

              This review provides an outline of the association between major depressive disorder (MDD) and coronary heart disease (CHD). Much is known about the two individual clinical conditions; however, it is not until recently, biological mechanisms have been uncovered that link both MDD and CHD. The activation of stress pathways have been implicated as a neurochemical mechanism that links MDD and CHD. Depression is known to be associated with poorer outcomes of CHD. Psychological factors, such as major depression and stress, are now known as risk factors for developing CHD, which is as important and is independent of classic risk factors, such as hypertension, diabetes mellitus, and cigarette smoking. Both conditions have great socioeconomic importance given that depression and CHD are likely to be two of the three leading causes of global burden of disease. Better understanding of the common causal pathways will help us delineate more appropriate treatments.
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                Author and article information

                Contributors
                sgrace@yorku.ca , http://www.sgrace.info.yorku.ca
                Journal
                BMC Cardiovasc Disord
                BMC Cardiovasc Disord
                BMC Cardiovascular Disorders
                BioMed Central (London )
                1471-2261
                23 March 2021
                23 March 2021
                2021
                : 21
                : 148
                Affiliations
                [1 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Shanghai Jiao Tong University School of Nursing, ; Shanghai, China
                [2 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, KITE-Toronto Rehabilitation Institute and Peter Munk Cardiac Centre, , University Health Network, University of Toronto, ; Toronto, ON Canada
                [3 ]GRID grid.21100.32, ISNI 0000 0004 1936 9430, Faculty of Health, , York University, ; Bethune 368, 4700 Keele Street, Toronto, ON M3J 1P3 Canada
                [4 ]GRID grid.412528.8, ISNI 0000 0004 1798 5117, Shanghai Sixth People’s Hospital, ; Shanghai, China
                [5 ]GRID grid.412987.1, ISNI 0000 0004 0630 1330, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, ; Shanghai, China
                Author information
                http://orcid.org/0000-0001-7063-3610
                Article
                1954
                10.1186/s12872-021-01954-2
                7988960
                cc943954-3175-4e24-9ad1-557fffbaa4a4
                © The Author(s) 2021

                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
                : 5 June 2020
                : 14 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003395, Shanghai Municipal Education Commission;
                Award ID: HLGY16021SJK
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Cardiovascular Medicine
                angina,anxiety disorders,cardiovascular diseases,cardiovascular risk factors,china,depression,percutaneous coronary intervention,quality of life,signs and symptoms,sleep

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