15 results on '"WEI GAO"'
Search Results
2. D-dimer level predicts in-hospital adverse outcomes after primary PCI for ST-segment elevation myocardial infarction
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Runda Wu, Juying Qian, Wei Gao, Dong Huang, Xin Zhong, and Junbo Ge
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medicine.medical_specialty ,medicine.medical_treatment ,Myocardial Infarction ,030204 cardiovascular system & hematology ,Ventricular Function, Left ,Fibrin Fibrinogen Degradation Products ,03 medical and health sciences ,Percutaneous Coronary Intervention ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,ST segment ,cardiovascular diseases ,030212 general & internal medicine ,Myocardial infarction ,Thrombus ,Retrospective Studies ,Ejection fraction ,Troponin T ,business.industry ,Percutaneous coronary intervention ,Stroke Volume ,medicine.disease ,Hospitals ,Treatment Outcome ,Conventional PCI ,cardiovascular system ,Cardiology ,ST Elevation Myocardial Infarction ,Female ,Cardiology and Cardiovascular Medicine ,business ,Mace - Abstract
Use of D-dimer for prognostication of patients with ST-segment elevation myocardial infarction (STEMI) remains controversial and undefined among those with angiographically evident thrombus or no-reflow phenomenon.We retrospectively analyzed consecutive STEMI patients who received primary percutaneous coronary intervention (PCI) at Zhongshan Hospital Fudan University from January 2008 to December 2018. Outcomes were in-hospital major adverse cardiovascular events (MACE: cardiac death, non-fatal acute myocardial infarction, re-vascularization and stroke), peak troponin T and NT-proBNP levels, left ventricular ejection fraction (LVEF) and hospitalization duration.Among 1165 patients, those with increased (≥0.8 mg/L, n = 224, 19.2%) vs. normal (n = 941, 80.8%) D-dimer level were older; more often women and non-smokers. Increased D-dimer group had similar frequency of AET (58.7% vs. 62.1%, P = .353), more frequently no-reflow phenomenon (13.1% vs. 18.8%, P = .028), higher peak values of troponin T (3.5 [0.9-7.0] vs. 4.5 [1.8-8.7], P = .001) and NT-proBNP (903.3 [532.3-2098.5] vs. 2070.0 [859.1-4378.0], p .001). In increased D-dimer group, LVEF (53.3 ± 8.3 vs. 48.8 ± 9.8, P .001) was lower, hospitalization was longer (8.0 ± 4.9 vs. 10.5 ± 6.9 days, P .001) and risk of developing in-hospital MACE (1.5% vs. 12.1%, P .001) was greater. D-dimer level was an independent risk factor for MACE (OR 8.408, 95%CI 4.065-17.392, P .001), including the angiographically evident thrombus (OR 6.939, 95% CI 2.944-16.355, P .001) and the no-reflow (OR 8.114, 95% CI 1.598-41.196, P = .012) subgroups.Increased D-dimer level was an independent risk factor for in-hospital MACE in STEMI patients undergoing primary PCI, including those with angiographically evident thrombus and no-reflow phenomenon. D-dimer was not associated to no-reflow phenomenon in STEMI patients.
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- 2020
3. Implementation of the Mental Capacity Act: a national observational study comparing resultant trends in place of death for older heart failure decedents with or without comorbid dementia
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James M, Beattie, Irene J, Higginson, Theresa A, McDonagh, and Wei, Gao
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Heart Failure ,Terminal Care ,Humans ,Dementia ,Female ,Comorbidity ,Hospital to Home Transition ,Hospitals ,Aged - Abstract
Heart failure (HF) is increasingly prevalent in the growing elderly population and commonly associated with cognitive impairment. We compared trends in place of death (PoD) of HF patients with/without comorbid dementia around the implementation period of the Mental Capacity Act (MCA) in October 2007, this legislation supporting patient-centred decision making for those with reduced agency.Analyses of death certification data for England between January 2001 and December 2018, describing the PoD and sociodemographic characteristics of all people ≥ 65 years registered with HF as the underlying cause of death, with/without a mention of comorbid dementia. We used modified Poisson regression with robust error variance to determine the prevalence ratio (PR) of the outcome in dying at home, in care homes or hospices compared to dying in hospital. Covariates included year of death, age, gender, marital status, comorbidity burden, index of multiple deprivation and urban/rural settings.One hundred twenty thousand sixty-eight HF-related death records were included of which 8199 mentioned dementia as a contributory cause. The overall prevalence proportion of dementia was 6.8%, the trend significantly increasing from 5.6 to 8.0% pre- and post-MCA (Cochran-Armitage trend test p 0.0001). Dementia was coded as unspecified (78.2%), Alzheimer's disease (13.5%) and vascular (8.3%). Demented decedents were commonly older, female, and with more comorbidities. Pre-MCA, PoD for non-demented HF patients was hospital 68.2%, care homes 20.2% and 10.7% dying at home. Corresponding figures for those with comorbid dementia were 47.6%, 48.0% and 4.2%, respectively. Following MCA enforcement, PoD for those without dementia shifted from hospital to home, 62.5% and 17.2%, respectively; PR: 1.026 [95%CI: 1.024-1.029]. While home deaths also rose to 10.0% for those with dementia, with hospital deaths increasing to 50.4%, this trend was insignificant, PR: 1.001 [0.988-1.015]. Care home deaths reduced for all, with/without dementia, PR: 0.959 [0.949-0.969] and PR: 0.996 [0.993-0.998], respectively. Hospice as PoD was rare for both groups with no appreciable change over the study period.Our analyses suggest the MCA did not materially affect the PoD of HF decedents with comorbid dementia, likely reflecting difficulties implementing this legislation in real-life clinical practice.
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- 2021
4. Implementation of a complex intervention to improve care for patients whose situations are clinically uncertain in hospital settings: A multi-method study using normalisation process theory
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Joanne Droney, Wei Gao, Elizabeth L Sampson, Emel Yorganci, Fliss E M Murtagh, Stephen Barclay, Catherine J Evans, Jonathan Koffman, Morag Farquhar, Halle Johnson, Deokhee Yi, Johnson, Halle [0000-0003-4018-4855], Evans, Catherine J [0000-0003-0034-7402], Apollo - University of Cambridge Repository, and Evans, Catherine J. [0000-0003-0034-7402]
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Epidemiology ,Health Care Providers ,Emotions ,Nurses ,End of Life Care ,Cognition ,0302 clinical medicine ,Surveys and Questionnaires ,Psychology ,Medical Personnel ,030212 general & internal medicine ,Cluster randomised controlled trial ,Qualitative Research ,Randomized Controlled Trials as Topic ,Verbal Communication ,Multidisciplinary ,030503 health policy & services ,FOS: Social sciences ,Uncertainty ,Focus Groups ,Hospitals ,Professions ,England ,Data Interpretation, Statistical ,Medicine ,Thematic analysis ,0305 other medical science ,Patient Care Bundles ,Research Article ,Critical Care ,Attitude of Health Personnel ,Science ,Health Personnel ,Decision Making ,Context (language use) ,Social sciences ,03 medical and health sciences ,Nursing ,Physicians ,Intervention (counseling) ,Process theory ,Humans ,Medicine and health sciences ,Behavior ,Descriptive statistics ,Biology and life sciences ,Verbal Behavior ,Cognitive Psychology ,Focus group ,Health Care ,Medical Risk Factors ,Cognitive Science ,Population Groupings ,People and places ,Neuroscience ,Qualitative research - Abstract
PurposeTo examine the use of Normalisation Process Theory (NPT) to establish if, and in what ways, the AMBER care bundle can be successfully normalised into acute hospital practice, and to identify necessary modifications to optimise its implementation.MethodMulti-method process evaluation embedded within a mixed-method feasibility cluster randomised controlled trial in two district general hospitals in England. Data were collected using (i) focus groups with health professionals (HPs), (ii) semi-structured interviews with patients and/or carers, (iii) non-participant observations of multi-disciplinary team meetings and (iv) patient clinical note review. Thematic analysis and descriptive statistics, with interpretation guided by NPT components (coherence; cognitive participation; collective action; reflexive monitoring). Data triangulated across sources.ResultsTwo focus groups (26 HPs), nine non-participant observations, 12 interviews (two patients, 10 relatives), 29 clinical note reviews were conducted. While coherence was evident, with HPs recognising the value of the AMBER care bundle, cognitive participation and collective action presented challenges. Specifically: (1) HPs were unable and unwilling to operationalise the concept of 'risk of dying' intervention eligibility criteria (2) integration relied on a 'champion' to drive participation and ensure sustainability; and (3) differing skills and confidence led to variable engagement with difficult conversations with patients and families about, for example, nearness to end of life. Opportunities for reflexive monitoring were not routinely embedded within the intervention. Reflections on the use of the AMBER care bundle from HPs and patients and families, including recommended modifications became evident through this NPT-driven analysis.ConclusionTo be successfully normalised, new clinical practices, such as the AMBER care bundle, must be studied within the wider context in which they operate. NPT can be used to the aid identification of practical strategies to assist in normalisation of complex interventions where the focus of care is on clinical uncertainty in acute hospital settings.
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- 2020
5. Epidemiological features and time-series analysis of influenza incidence in urban and rural areas of Shenyang, China, 2010–2018
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Ping Wang, Ying Lu, Ying Qi, Huijie Chen, Lihai Wen, Baijun Sun, Ye Chen, Lina Bai, Kunkun Leng, Wei Gao, Jing Dong, and Xiangdong An
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Male ,Rural Population ,0301 basic medicine ,Influenza strains ,Urban Population ,Epidemiology ,0302 clinical medicine ,Pandemic ,030212 general & internal medicine ,Child ,Aged, 80 and over ,geography.geographical_feature_category ,Geography ,seasonal distinctions ,Incidence ,Incidence (epidemiology) ,virus diseases ,Middle Aged ,Hospitals ,Infectious Diseases ,Influenza A virus ,Child, Preschool ,Epidemiological Monitoring ,surveillance ,Female ,Seasons ,Adult ,China ,medicine.medical_specialty ,Adolescent ,030106 microbiology ,influenza-like illness ,Urban area ,Young Adult ,03 medical and health sciences ,Age Distribution ,Environmental health ,Influenza, Human ,Influenza prevention ,medicine ,Humans ,Aged ,Original Paper ,geography ,Influenza-like illness ,Public health ,Infant, Newborn ,Infant ,Influenza B virus ,Rural area - Abstract
In recent years, there have been a significant influenza activity and emerging influenza strains in China, resulting in an increasing number of influenza virus infections and leading to public health concerns. The aims of this study were to identify the epidemiological and aetiological characteristics of influenza and establish seasonal autoregressive integrated moving average (SARIMA) models for forecasting the percentage of visits for influenza-like illness (ILI%) in urban and rural areas of Shenyang. Influenza surveillance data were obtained for ILI cases and influenza virus positivity from 18 sentinel hospitals. The SARIMA models were constructed to predict ILI% for January–December 2019. During 2010–2018, the influenza activity was higher in urban than in rural areas. The age distribution of ILI cases showed the highest rate in young children aged 0–4 years. Seasonal A/H3N2, influenza B virus and pandemic A/H1N1 continuously co-circulated in winter and spring seasons. In addition, the SARIMA (0, 1, 0) (0, 1, 2)12 model for the urban area and the SARIMA (1, 1, 1) (1, 1, 0)12 model for the rural area were appropriate for predicting influenza incidence. Our findings suggested that there were regional and seasonal distinctions of ILI activity in Shenyang. A co-epidemic pattern of influenza strains was evident in terms of seasonal influenza activity. Young children were more susceptible to influenza virus infection than adults. These results provide a reference for future influenza prevention and control strategies in the study area.
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- 2020
6. Patterns of emergency department attendance among older people in the last three months of life and factors associated with frequent attendance: a mortality follow-back survey
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Wei Gao, Lesley A. Henson, Catherine J Evans, Buildcare study, Irene J Higginson, and Anna E Bone
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Male ,Aging ,Palliative care ,03 medical and health sciences ,symbols.namesake ,0302 clinical medicine ,Community support ,Medicine ,Humans ,Terminally Ill ,030212 general & internal medicine ,Poisson regression ,Aged ,Frequent attendance ,Aged, 80 and over ,business.industry ,Attendance ,Continuity of patient care ,General Medicine ,Emergency department ,Continuity of Patient Care ,Patient Acceptance of Health Care ,medicine.disease ,Comorbidity ,Quality Improvement ,Hospitals ,Hospitalization ,Survival Rate ,England ,030220 oncology & carcinogenesis ,symbols ,Emergency medicine ,Female ,Geriatrics and Gerontology ,business ,Older people ,Emergency Service, Hospital ,Demography - Abstract
Backgroundfrequent emergency department (ED) attendance at the end of life disrupts care continuity and contradicts most patients’ preference for home-based care.Objectiveto examine factors associated with frequent (≥3) end of life ED attendances among older people to identify opportunities to improve care.Methodspooled data from two mortality follow-back surveys in England. Respondents were family members of people aged ≥65 who died four to ten months previously. We used multivariable modified Poisson regression to examine illness, service and sociodemographic factors associated with ≥3 ED attendances, and directed content analysis to explore free-text responses.Results688 respondents (responses from 42.0%); most were sons/daughters (60.5%). Mean age at death was 85 years. 36.5% had a primary diagnosis of cancer and 16.3% respiratory disease. 80/661 (12.1%) attended ED ≥3 times, accounting for 43% of all end of life attendances. From the multivariable model, respiratory disease (reference cancer) and ≥2 comorbidities (reference 0) were associated with frequent ED attendance (adjusted prevalence ratio 2.12, 95% CI 1.21–3.71 and 1.81, 1.07–3.06). Those with ≥7 community nursing contacts (reference 0 contacts) were more likely to frequently attend ED (2.65, 1.49–4.72), whereas those identifying a key health professional were less likely (0.58, 0.37–0.88). Analysis of free-text found inadequate community support, lack of coordinated care and untimely hospital discharge were key issues.Conclusionsassigning a key health professional to older people at increased risk of frequent end of life ED attendance, e.g. those with respiratory disease and/or multiple comorbidities, may reduce ED attendances by improving care coordination.
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- 2018
7. Factors associated with aggressive end of life cancer care
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Lesley A. Henson, Wei Gao, Barbara Gomes, Jonathan Koffman, Irene J Higginson, and Barbara A Daveson
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Male ,District nurse ,medicine.medical_specialty ,Palliative care ,Hospital mortality ,Hospital ,03 medical and health sciences ,0302 clinical medicine ,Ambulatory care ,Neoplasms ,Critical care nursing ,Health care ,Terminal care ,Humans ,Medicine ,030212 general & internal medicine ,Curative care ,Aged ,Terminal Care ,business.industry ,Palliative Care ,Community health services ,Odds ratio ,Emergency department ,Middle Aged ,Hospitals ,humanities ,Oncology ,030220 oncology & carcinogenesis ,Emergency medicine ,Female ,Original Article ,business ,Emergency service - Abstract
BACKGROUND: Many patients with cancer experience aggressive care towards the end of life (EOL) despite evidence of an association with poor outcomes such as prolonged pain and overall dissatisfaction with care.PURPOSE: To investigate socio-demographic, clinical and community health care service factors associated with aggressive EOL cancer care.METHODS: An analysis of pooled data from two mortality follow-back surveys was performed. Aggressive EOL care was defined as greater than or equal to one of the following indicators occurring during the last 3 months of life: greater than or equal to two emergency department visits, ≥30 days in hospital and death in hospital.RESULTS: Of the 681 included patients, 50.1 % were men and mean age at death was 75 years. The majority of patients (59.3 %, 95 % confidence interval (CI) 55.6-63.0 %) experienced at least one indicator of aggressive EOL care: 29.7 % experienced greater than or equal to two ED visits, 17.1 % spent ≥30 days in hospital and 37.9 % died in hospital. Patients with prostate or haematological cancer were more likely to experience aggressive EOL care (adjusted odds ratio (AOR) 4.36, 95 % CI 1.39-13.70, and 4.16, 95 % CI 1.38-12.47, respectively, reference group lung cancer). Patients who received greater than five general practitioner (GP) home visits (AOR 0.37, 95 % CI 0.17-0.82, reference group no GP visits) or had contact with district nursing (AOR 0.48, 95 % CI 0.28-0.83, reference group no contact) or contact with community palliative care services (AOR 0.27, 95 % CI 0.15-0.49, reference group no contact) were less likely to experience aggressive EOL care. No association was found between aggressive EOL care and patients' age, gender, marital, financial or health status.CONCLUSIONS: Community health care services, in particular contact with community palliative care, are associated with a significant reduction in the odds of cancer patients receiving aggressive EOL care. Expansion of such services may help address the current capacity crises faced by many acute health care systems.
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- 2015
8. Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020.
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Zhen-Dong Guo, Zhong-Yi Wang, Shou-Feng Zhang, Xiao Li, Lin Li, Chao Li, Yan Cui, Rui-Bin Fu, Yun-Zhu Dong, Xiang-Yang Chi, Meng-Yao Zhang, Kun Liu, Cheng Cao, Bin Liu, Ke Zhang, Yu-Wei Gao, Bing Lu, Wei Chen, Guo, Zhen-Dong, and Wang, Zhong-Yi
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AIR microbiology ,VIRAL pneumonia ,INTENSIVE care units ,HOSPITALS ,RESEARCH ,COVID-19 ,AEROSOLS ,RESEARCH methodology ,EVALUATION research ,MEDICAL cooperation ,COMPARATIVE studies ,EPIDEMICS ,INFECTIOUS disease transmission - Abstract
To determine distribution of severe acute respiratory syndrome coronavirus 2 in hospital wards in Wuhan, China, we tested air and surface samples. Contamination was greater in intensive care units than general wards. Virus was widely distributed on floors, computer mice, trash cans, and sickbed handrails and was detected in air ≈4 m from patients. [ABSTRACT FROM AUTHOR]
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- 2020
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9. Place and Cause of Death in Centenarians:A Population-Based Observational Study in England, 2001 to 2010
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Catherine J Evans, Yuen Ho, Barbara A Daveson, Sue Hall, Irene J Higginson, Wei Gao, and GUIDE_Care project
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Male ,Gerontology ,Epidemiology ,Frail Elderly ,Myocardial Ischemia ,Population based ,Cause of Death ,Neoplasms ,Medicine and Health Sciences ,Terminal care ,Homes for the Aged ,Humans ,Medicine ,Registries ,Qualitative Research ,Cause of death ,Aged, 80 and over ,Terminal Care ,business.industry ,Palliative Care ,Age Factors ,Epidemiology of Aging ,Pneumonia ,General Medicine ,Hospitals ,Nursing Homes ,Health Care ,Death ,England ,Place of death ,Extreme longevity tracking ,Female ,Social care ,Observational study ,sense organs ,Health Services Research ,business ,Research Article ,Qualitative research - Abstract
Catherine J. Evans and colleagues studied how many and where centenarians in England die, their causes of death, and how these measures have changed from 2001 to 2010. Please see later in the article for the Editors' Summary, Background Centenarians are a rapidly growing demographic group worldwide, yet their health and social care needs are seldom considered. This study aims to examine trends in place of death and associations for centenarians in England over 10 years to consider policy implications of extreme longevity. Methods and Findings This is a population-based observational study using death registration data linked with area-level indices of multiple deprivations for people aged ≥100 years who died 2001 to 2010 in England, compared with those dying at ages 80-99. We used linear regression to examine the time trends in number of deaths and place of death, and Poisson regression to evaluate factors associated with centenarians’ place of death. The cohort totalled 35,867 people with a median age at death of 101 years (range: 100–115 years). Centenarian deaths increased 56% (95% CI 53.8%–57.4%) in 10 years. Most died in a care home with (26.7%, 95% CI 26.3%–27.2%) or without nursing (34.5%, 95% CI 34.0%–35.0%) or in hospital (27.2%, 95% CI 26.7%–27.6%). The proportion of deaths in nursing homes decreased over 10 years (−0.36% annually, 95% CI −0.63% to −0.09%, p = 0.014), while hospital deaths changed little (0.25% annually, 95% CI −0.06% to 0.57%, p = 0.09). Dying with frailty was common with “old age” stated in 75.6% of death certifications. Centenarians were more likely to die of pneumonia (e.g., 17.7% [95% CI 17.3%–18.1%] versus 6.0% [5.9%–6.0%] for those aged 80–84 years) and old age/frailty (28.1% [27.6%–28.5%] versus 0.9% [0.9%–0.9%] for those aged 80–84 years) and less likely to die of cancer (4.4% [4.2%–4.6%] versus 24.5% [24.6%–25.4%] for those aged 80–84 years) and ischemic heart disease (8.6% [8.3%–8.9%] versus 19.0% [18.9%–19.0%] for those aged 80–84 years) than were younger elderly patients. More care home beds available per 1,000 population were associated with fewer deaths in hospital (PR 0.98, 95% CI 0.98–0.99, p, Editors’ Summary Background People who live to be more than 100 years old—centenarians—are congratulated and honored in many countries. In the UK, for example, the Queen sends a personal greeting to individuals on their 100th birthday. The number of UK residents who reach this notable milestone is increasing steadily, roughly doubling every 10 years. The latest Office of National Statistics (ONS) figures indicate that 13,350 centenarians were living in the UK in 2012 (20 centenarians per 100,000 people in the population) compared to only 7,740 in 2002. If current trends continue, by 2066 there may be more than half a million centenarians living in the UK. And similar increases in the numbers of centenarians are being seen in many other countries. The exact number of centenarians living worldwide is uncertain but is thought to be around 317,000 and is projected to rise to about 18 million by the end of this century. Why Was This Study Done? Traditional blessings often include the wish that the blessing’s recipient lives to be at least 100 years old. However, extreme longevity is associated with increasing frailty—declining physical function, increasing disability, and increasing vulnerability to a poor clinical outcome following, for example, an infection. Consequently, many centenarians require 24-hour per day care in a nursing home or a residential care home. Moreover, although elderly people, including centenarians, generally prefer to die in a home environment rather than a clinical environment, many centenarians end up dying in a hospital. To ensure that centenarians get their preferred end-of-life care, policy makers and clinicians need to know as much as possible about the health and social needs of this specific and unique group of elderly people. In this population-based observational study, the researchers examine trends in the place of death and factors associated with the place of death among centenarians in England over a 10-year period. What Did the Researchers Do and Find? The researchers extracted information about the place and cause of death of centenarians in England between 2001 and 2010 from the ONS death registration database, linked these data with area level information on deprivation and care-home bed capacity, and analyzed the data statistically. Over the 10-year study period, 35,867 centenarians (mainly women, average age 101 years) died in England. The annual number of centenarian deaths increased from 2,823 in 2001 to 4,393 in 2010. Overall, three-quarters of centenarian death certificates stated “old age” as the cause of death. About a quarter of centenarians died in the hospital, a quarter died in a nursing home, and a third died in a care home without nursing; only one in ten centenarians died at home. The proportion of deaths in a nursing home increased slightly over the study period but there was little change in the number of hospital deaths. Compared with younger age groups (80–84 year olds), centenarians were more likely to die from pneumonia and “old age” and less likely to die from cancer and heart disease. Among centenarians, dying in the hospital was more likely to be reported to be associated with pneumonia or heart disease than with dementia; death in the hospital was also associated with having four or more contributing causes of death and with living in a deprived area. Finally, living in an area with a higher care-home bed capacity was associated with a lower risk of dying in the hospital. What Do These Findings Mean? These findings suggest that many centenarians have outlived death from the chronic diseases that are the common causes of death among younger groups of elderly people and that dying in the hospital is often associated with pneumonia. Overall, these findings suggest that centenarians are a group of people living with a risk of death from increasing frailty that is exacerbated by acute lung infection. The accuracy of these findings is likely to be affected by the quality of UK death certification data. Although this is generally high, the strength of some of the reported associations may be affected, for example, by the tendency of clinicians to record the cause of death in the very elderly as “old age” to provide some comfort to surviving relatives. Importantly, however, these findings suggest that care-home capacity and the provision of anticipatory care should be increased in England (and possibly in other countries) to ensure that more of the growing number of centenarians can end their long lives outside hospital. Additional Information Please access these websites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001653. The US National Institute on Aging provides information about healthy aging, including information on longevity (in English and Spanish) The National End of Life Care Intelligence Network, England is a government organization that gathers data on care provided to adults approaching the end of life to improve service quality and productivity The Worldwide Palliative Care Alliance promotes universal access to affordable palliative care through the support of regional and national palliative care organizations The non-for-profit organization AgeUK provides information about all aspects of aging Wikipedia has a page on centenarians (note that Wikipedia is a free online encyclopedia that anyone can edit; available in several languages) The International Longevity Centre-UK is an independent, non-partisan think tank dedicated to addressing issues of longevity, ageing and population; its “Living Beyond 100” report examines the research base on centenarians and calls for policy to reflect the ongoing UK increase in extreme longevity This study is part of GUIDE_Care, a project initiated by the Cicely Saunders Institute to investigate patterns in place of death and the factors that affect these patterns
- Published
- 2014
10. Reversal of English trend towards hospital death in dementia:a population-based study of place of death and associated individual and regional factors, 2001-2010
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Yuen King Ho, Julia Verne, Irene J Higginson, Katherine E Sleeman, and Wei Gao
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Gerontology ,Male ,medicine.medical_specialty ,Neurology ,Cross-sectional study ,Population ,Location of death ,Clinical Neurology ,Nursing homes ,symbols.namesake ,medicine ,Dementia ,Humans ,Poisson regression ,Hospital Mortality ,education ,Aged ,Aged, 80 and over ,education.field_of_study ,Terminal Care ,business.industry ,General Medicine ,Middle Aged ,medicine.disease ,Home Care Services ,Hospitals ,Cross-Sectional Studies ,England ,Population Surveillance ,symbols ,Marital status ,Female ,Neurology (clinical) ,Death certificate ,Neurosurgery ,business ,Research Article - Abstract
BackgroundEngland has one of the highest rates of hospital death in dementia in Europe. How this has changed over time is unknown. This study aimed to analyse temporal trends in place of death in dementia over a recent ten year period.MethodsPopulation-based study linking Office for National Statistics mortality data with regional variables, in England 2001–2010. Participants were adults aged over 60 with a death certificate mention of dementia. Multivariable Poisson regression was used to determine the proportion ratio (PR) for death in care home (1) and home/hospice (1) compared to hospital (0). Explanatory variables included individual factors (age, gender, marital status, underlying cause of death), and regional variables derived at area level (deprivation, care home bed provision, urbanisation). Results388,899 deaths were included. Most people died in care homes (55.3%) or hospitals (39.6%). A pattern of increasing hospital deaths reversed in 2006, with a subsequent decrease in hospital deaths (−0.93% per year, 95% CI −1.08 to −0.79 p ConclusionsTwo in five people with dementia die in hospital. However, the trend towards increasing hospital deaths has reversed, and care home bed provision is key to sustain this. Home and hospice deaths are rare. Initiatives which aim to support the end of life preferences for people with dementia should be investigated.
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- 2014
11. Place of death, and its relation with underlying cause of death, in Parkinson's disease, motor neurone disease, and multiple sclerosis: a population-based study
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Myer Glickman, Eli Silber, Yuen King Ho, Wei Gao, Irene J Higginson, Julia Verne, and Katherine E Sleeman
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Male ,Pediatrics ,medicine.medical_specialty ,Palliative care ,Parkinson's disease ,Multiple Sclerosis ,Population ,Disease ,Cause of Death ,medicine ,Humans ,Amyotrophic lateral sclerosis ,Motor Neuron Disease ,Psychiatry ,education ,Cause of death ,Aged ,Aged, 80 and over ,education.field_of_study ,business.industry ,Multiple sclerosis ,Palliative Care ,Hospices ,Parkinson Disease ,General Medicine ,medicine.disease ,Home Care Services ,Hospitals ,Anesthesiology and Pain Medicine ,England ,Female ,business ,Motor neurone disease - Abstract
Background: Little is known about place of death in chronic neurological diseases. Mortality statistics are ideal for examining trends in place of death, but analyses are limited by coding rule changes. Aim: To examine the relationship between place of death and underlying cause of death in Parkinson’s disease, multiple sclerosis and motor neurone disease and the impact of coding rule changes on analysis of place of death. Design: Population-based study. Proportion ratios for death in hospice, home, care home and hospital were calculated according to underlying cause of death, using multivariable Poisson regression. Participants: Deaths in England (1993–2010) with any mention of Parkinson’s disease, multiple sclerosis or motor neurone disease as a cause of death, identified from national mortality data. Results: In this study, 125,242 patients with Parkinson’s disease, 23,501 with multiple sclerosis, and 27,030 with motor neurone disease were included. Home deaths ranged from 9.7% (Parkinson’s disease) to 27.1% (motor neurone disease), hospice deaths ranged from 0.6% (Parkinson’s disease) to 11.2% (motor neurone disease) and hospital deaths ranged from 43.4% (Parkinson’s disease) to 55.8% (multiple sclerosis). In Parkinson’s disease and multiple sclerosis, cancer as underlying cause of death increased likelihood of hospice death (proportion ratio (PR): 18.8, 95% confidence interval (CI) = 16.1–22.0; 8.88, 95% CI = 7.49–10.5) and home death (PR: 1.91, 95% CI = 1.80–2.04; 1.71, 95% CI = 1.56–1.88). Dementia as underlying cause of death increased likelihood of care home death in Parkinson’s disease (PR: 1.25, 95% CI = 1.19–1.32), multiple sclerosis (PR: 1.73, 95% CI = 1.22–2.45) and motor neurone disease (PR: 2.36, 95% CI = 1.31–4.27). Conclusions: Underlying cause of death has a marked effect on place of death. The effects of coding rule changes are an essential consideration for all research using underlying cause of death to study place of death.
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- 2013
12. Changing patterns in place of cancer death in England: a population-based study
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Wei, Gao, Yuen K, Ho, Julia, Verne, Myer, Glickman, Irene J, Higginson, and Barbara, Gomes
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Adult ,Male ,medicine.medical_specialty ,Palliative care ,Colorectal cancer ,Home Nursing ,Epidemiology ,Cause of Death ,Neoplasms ,medicine ,Confidence Intervals ,Humans ,Intensive care medicine ,Lung cancer ,skin and connective tissue diseases ,Cause of death ,Aged ,Demography ,Aged, 80 and over ,business.industry ,Palliative Care ,Hospices ,Cancer ,General Medicine ,Middle Aged ,medicine.disease ,Confidence interval ,Hospitals ,England ,Oncology ,Marital status ,Medicine ,Female ,sense organs ,Public Health ,business ,End-of-life care ,Research Article - Abstract
Wei Gao and colleagues describe how location of death has changed for patients with cancer in England between 1993 and 2010., Background Most patients with cancer prefer to die at home or in a hospice, but hospitals remain the most common place of death (PoD).This study aims to explore the changing time trends of PoD and the associated factors, which are essential for end-of-life care improvement. Methods and Findings The study analysed all cancer deaths in England collected by the Office for National Statistics during 1993–2010 (n = 2,281,223). Time trends of age- and gender-standardised proportion of deaths in individual PoDs were evaluated using weighted piecewise linear regression. Variables associated with PoD (home or hospice versus hospital) were determined using proportion ratio (PR) derived from the log-binomial regression, adjusting for clustering effects. Hospital remained the most common PoD throughout the study period (48.0%; 95% CI 47.9%–48.0%), followed by home (24.5%; 95% CI 24.4%–24.5%), and hospice (16.4%; 95% CI 16.3%–16.4%). Home and hospice deaths increased since 2005 (0.87%; 95% CI 0.74%–0.99%/year, 0.24%; 95% CI 0.17%–0.32%/year, respectively, p, Editors' Summary Background Death is the only certain event in our lives. Consequently, end-of-life care is an issue that is relevant to everyone, and everyone hopes for a “good death” (a death that is free from avoidable distress and suffering) for themselves and for their loved ones. Many factors contribute to a good death, including the place of death. When asked, most people say they would rather die at home or in a hospice (a care facility that gives supportive care to people in the final phase of a terminal illness and that focuses on comfort and quality of life rather than on cure) than in a hospital. Importantly, patients who die at home or in a hospice often have a better quality of life than those who die in hospital, and caring for terminally ill patients in the community is less expensive than caring for them in hospital. Why Was This Study Done? Many countries have introduced end-of-life care policies that are designed to enable more people to die at home or in hospices. England, for example, implemented its National End of Life Care Programme in 2004. However, to improve end-of-life care services and to enable more people to die in their preferred place, we need to understand how the patterns of place of death and the factors that affect the place of death are changing over time. In this population-based study, the researchers examine the changing pattern of place of death of people with cancer and the factors associated with place of death in England between 1993 and 2010. Cancer is a leading cause of death globally and is responsible for 8 million deaths annually. Deaths from cancer still occur most commonly in hospitals, which are the least preferred place of death for people with cancer; home and hospices are the first and second preferred places of death, respectively, for such people. What Did the Researchers Do and Find? The researchers used death registration data collected by the Office of National Statistics to identify all the adult cancer deaths in England between 1993 and 2010 (2.28 million deaths) and to determine where these deaths occurred, time trends in place of death, and the factors associated with place of death. Hospital was the commonest place of death throughout the study period—48% of cancer deaths occurred in hospital, 24.5% at home, and 16.4% in hospices. The proportion of home deaths increased after 2005 whereas the proportion of hospital deaths declined. The proportion of deaths in hospices also increased over the study period. The most important factor associated with place of death was cancer site. For example, patients who died from a blood (hematological) cancer were more likely to die in hospital than patients with colorectal cancer throughout the study period although the proportion dying at home or in a hospice increased over time. Being single, widowed, or divorced was associated with a higher likelihood of dying in hospital than being married. Being over 75 was associated with a higher likelihood of dying in hospital than being 25–54 although elderly people were more likely to die at home or in a hospice after 2006 than in earlier periods. What Do These Findings Mean? These findings show that the hospital is still the commonest place of death for patients with cancer in England. However, the increase in home and hospice deaths since 2005 suggests that the National End of Life Care Programme has enabled more people to die at their preferred place of death. These findings identify cancer site, marital status, and age as the three most important factors associated with place of death for patients with cancer. Because the study is a large-scale, population-based study, these findings are likely to be generalizable to other high-income settings. However, because the study did not include data on individual patient preferences for place of death, these findings should be applied with care to individual patients. Importantly, these findings indicate that more needs to be done to support people with cancer (and other terminal illnesses) who wish to die at home or in a hospice. Moreover, they identify groups of people—single, widowed or divorced individuals, older people, and people with specific types of cancer—who need extra help to ensure that they are able to choose where they die. Additional Information Please access these Web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001410. The Cicely Saunders International, a not-for-profit organization, promotes research to improve the care and treatment of all patients with terminal illnesses at home, in hospices and in hospital; its website includes information on end-of-life care and on Cicely Saunders, the founder of the hospice movement in England This study is part of GUIDE_Care, a project initiated by the Cicely Saunders Institute to investigate patterns in place of death and the factors that affect these patterns Information on the National End of Life Care Programme is available The UK National Health Service Choices website provides information (including videos of personal experiences) on end-of-life issues for carers, information on end-of-life care for patients with cancer, and an end-of-life care guide for people approaching the end of their life The US National Cancer Institute has a fact sheet on end-of-life care for people who have cancer and provides information on hospice care and home care for patients with cancer (in English and Spanish) The not-for-profit organization HealthTalkOnline provides personal stories about living with dying The NHS National End of Life Intelligence Network (NEoLCIN) provides information on broad issues about end-of-life care The South West Public Health Observatory (SWPHO) aims to improve the health of the population through producing evidence to inform decision making on health issues at local, regional, and national levels. SWPHO also produces specific end-of-life care resources (e.g., specialised reports, end-of-life care profiles) and disseminates it via the NEoLCIN website
- Published
- 2012
13. [Survey on the hospitalization treatment status of acute myocardial infarction patients in 13 hospitals of western medicine and traditional Chinese medicine in Beijing]
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Hong-xu, Liu, Wei, Gao, Dong, Zhao, Ju-ju, Shang, and Jia-Yi, Sun
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Adult ,Aged, 80 and over ,Male ,Inpatients ,Myocardial Infarction ,Middle Aged ,Hospitals ,Hospitalization ,Treatment Outcome ,Humans ,Female ,Hospital Mortality ,Medicine, Chinese Traditional ,Aged - Abstract
To survey the treatment status and clinical features of hospitalized patients with acute myocardial infarction (AMI) of 13 hospitals in Beijing in 2005.Uniform questionnaires were used to register AMI patients hospitalized from January 1 to December 31, 2005 in the 13 hospitals including traditional Chinese medicine (TCM) hospitals (n = 6) and western medicine hospitals (WM, n = 7) from Beijing. A total of 1663 AMI patients were registered (1366 cases in WM hospitals and 297 cases in TCM hospitals). An Access database was established and patient information was input, the clinical features and treatment status of hospitalized AMI patients were analyzed.The mean age was (63.9 +/- 12.8) years old [(62.8 +/- 12.8) years for WM Hospitals and (69.1 +/- 11.8) years for TCM hospitals, P0.05], male to female ratio was 2.4:1 (2.7:1 for WM hospitals and 1.6:1 for TCM hospitals, P0.05). The median time to hospital was 14 hours in TCM hospitals and 11 hours in WM hospitals (P0.05). Incidences of history of cerebrovascular disease, high blood pressure, diabetes, hyperlipidemia and complications such as in-patient arrhythmia, cardiac insufficiency, cardiogenic shock were significantly higher in TCM hospitals than in WM hospitals. The total mortality of 1663 AMI cases was 8.2% (15.8% in TCM hospitals vs. 6.6% in WM hospitals, P0.01). The reperfusion rate including emergency PCI and thrombolytic therapy rate was 31.3% in 13 hospitals (33.3% in WM hospitals vs. 21.9% in TCM hospitals, P0.05). Percent of guideline recommend drug use for AMI was as follows: aspirin 93.6%, ACEI and ARB 85.1%, beta-blocker 78.7%, low molecular weight heparin 85.4%, statins 74.7%.Reperfusion therapy and guideline recommended drugs were widely used although there was a need for further improvement. The hospitalized mortality showed a downward trend compared with results from five years ago, patients in TCM hospitals had an independent clinical features.
- Published
- 2010
14. Measuring geographical accessibility to palliative and end of life (PEoLC) related facilities: a comparative study in an area with well-developed specialist palliative care (SPC) provision.
- Author
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Pearson, Clare, Higginson, Irene J., Wei Gao, Verne, Julia, Wells, Claudia, and Polato, Giovanna M.
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COMPARATIVE studies ,GEOGRAPHIC information systems ,HEALTH facilities ,HEALTH services accessibility ,HOSPICE care ,HOSPITALS ,MAPS ,NURSING care facilities ,PALLIATIVE treatment ,POPULATION geography ,STATISTICS ,TRAVEL ,DEATH certificates ,DATA analysis - Abstract
Background: Geographical accessibility is important in accessing healthcare services. Measuring it has evolved alongside technological and data analysis advances. High correlations between different methods have been detected, but no comparisons exist in the context of palliative and end of life care (PEoLC) studies. To assess how geographical accessibility can affect PEoLC, selection of an appropriate method to capture it is crucial. We therefore aimed to compare methods of measuring geographical accessibility of decedents to PEoLC-related facilities in South London, an area with well-developed SPC provision. Methods: Individual-level death registration data in 2012 (n = 18,165), from the Office for National Statistics (ONS) were linked to area-level PEoLC-related facilities from various sources. Simple and more complex measures of geographical accessibility were calculated using the residential postcodes of the decedents and postcodes of the nearest hospital, care home and hospice. Distance measures (straight-line, travel network) and travel times along the road network were compared using geographic information system (GIS) mapping and correlation analysis (Spearman rho). Results: Borough-level maps demonstrate similarities in geographical accessibility measures. Strong positive correlation exist between straight-line and travel distances to the nearest hospital (rho = 0.97), care home (rho = 0.94) and hospice (rho = 0.99). Travel times were also highly correlated with distance measures to the nearest hospital (rho range = 0.84-0. 88), care home (rho = 0.88-0.95) and hospice (rho = 0.93-0.95). All correlations were significant at p < 0.001 level. Conclusions: Distance-based and travel-time measures of geographical accessibility to PEoLC-related facilities in South London are similar, suggesting the choice of measure can be based on the ease of calculation. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
15. A Supervised Statistical Learning Approach for Accurate Legionella pneumophila Source Attribution during Outbreaks.
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Buultjens, Andrew H., Chua, Kyra Y. L., Baines, Sarah L., Kwong, Jason, Wei Gao, Cutcher, Zoe, Adcock, Stuart, Ballard, Susan, Schultz, Mark B., Takehiro Tomita, Subasinghe, Nela, Carter, Glen P., Pidot, Sacha J., Franklin, Lucinda, Seemann, Torsten, Da Silva, Anders Gonçalves, Howden, Benjamin P., and Stinear, Timothy P.
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PUBLIC health , *LEGIONNAIRES' disease , *GENOMICS , *SINGLE nucleotide polymorphisms , *HOSPITALS , *THERAPEUTICS - Abstract
Public health agencies are increasingly relying on genomics during Legionnaires' disease investigations. However, the causative bacterium (Legionella pneumophila) has an unusual population structure, with extreme temporal and spatial genome sequence conservation. Furthermore, Legionnaires' disease outbreaks can be caused by multiple L. pneumophila genotypes in a single source. These factors can confound cluster identification using standard phylogenomic methods. Here, we show that a statistical learning approach based on L. pneumophila core genome single nucleotide polymorphism (SNP) comparisons eliminates ambiguity for defining outbreak clusters and accurately predicts exposure sources for clinical cases. We illustrate the performance of our method by genome comparisons of 234 L. pneumophila isolates obtained from patients and cooling towers in Melbourne, Australia, between 1994 and 2014. This collection included one of the largest reported Legionnaires' disease outbreaks, which involved 125 cases at an aquarium. Using only sequence data from L. pneumophila cooling tower isolates and including all core genome variation, we built a multivariate model using discriminant analysis of principal components (DAPC) to find cooling tower-specific genomic signatures and then used it to predict the origin of clinical isolates. Model assignments were 93% congruent with epidemiological data, including the aquarium Legionnaires' disease outbreak and three other unrelated outbreak investigations. We applied the same approach to a recently described investigation of Legionnaires' disease within a UK hospital and observed a model predictive ability of 86%. We have developed a promising means to breach L. pneumophila genetic diversity extremes and provide objective source attribution data for outbreak investigations. IMPORTANCE Microbial outbreak investigations are moving to a paradigm where whole-genome sequencing and phylogenetic trees are used to support epidemiological investigations. It is critical that outbreak source predictions are accurate, particularly for pathogens, like Legionella pneumophila, which can spread widely and rapidly via cooling system aerosols, causing Legionnaires' disease. Here, by studying hundreds of Legionella pneumophila genomes collected over 21 years around a major Australian city, we uncovered limitations with the phylogenetic approach that could lead to a misidentification of outbreak sources. We implement instead a statistical learning technique that eliminates the ambiguity of inferring disease transmission from phylogenies. Our approach takes geolocation information and core genome variation from environmental L. pneumophila isolates to build statistical models that predict with high confidence the environmental source of clinical L. pneumophila during disease outbreaks. We show the versatility of the technique by applying it to unrelated Legionnaires' disease outbreaks in Australia and the UK. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
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