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Yang A, Chen T, Shi M, Lau E, Sm Wong R, Chan J, Cn Chan J, Chow E. Trends in all-cause and cause-specific mortality in older adults with and without diabetes: A territory-wide analysis in one million older adults in Hong Kong. Diabetes Res Clin Pract 2024; 210:111618. [PMID: 38490493 DOI: 10.1016/j.diabres.2024.111618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 02/28/2024] [Accepted: 03/12/2024] [Indexed: 03/17/2024]
Abstract
AIMS Direct comparisons of population-level trends in all-cause and cause-specific mortalities among older adults with and without diabetes are lacking. METHODS We performed a territory-wide analysis of 1,142,000 unique older adults aged ≥ 65 years (31.7 % with diabetes) with at least one attendance in the Hong Kong Hospital Authority in 2014-2018. We used Joinpoint regression to describe trends of age- and sex-standardised all-cause and cause-specific mortalities (cardiovascular disease [CVD], cancer, and non-CVD and non-cancer) in older adults with and without diabetes. RESULTS All-cause mortality decreased in older adults with (average annual percent change [AAPC] = -1.6, 95 % confidence interval [-2.7, -0.4]) and without (AAPC = -3.1 [-4.2, -2.1]) diabetes. Largest declines were seen for CVD-cause mortalities for people with and without diabetes (AAPC = -5.5 [-6.8, -4.1] vs AAPC = -5.8 [-8.6, -2.9], respectively). Cancer-cause mortalities were similar in both groups with no change. Men with diabetes showed less favourable improvements. An increasing mortality trend was seen only in the 65-69 age-group regardless of diabetes status. CONCLUSIONS Mortality continued to decline in older adults with and without diabetes, mainly driven by a decline in CVD deaths, with no narrowing of the mortality gap. Our findings call for continued actions to address excess mortalities especially in older men with diabetes and younger older adults.
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Affiliation(s)
- Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Tingting Chen
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Mai Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Eric Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Raymond Sm Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Jones Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Juliana Cn Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
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Lüthi-Corridori G, Boesing M, Roth A, Giezendanner S, Leuppi-Taegtmeyer AB, Schuetz P, Leuppi JD. Predictors of Length of Stay, Rehospitalization and Mortality in Community-Acquired Pneumonia Patients: A Retrospective Cohort Study. J Clin Med 2023; 12:5601. [PMID: 37685667 PMCID: PMC10488292 DOI: 10.3390/jcm12175601] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Community-acquired pneumonia (CAP) represents one of the leading causes of hospitalization and has a substantial impact on the financial burden of healthcare. The aim of this study was to identify factors associated with the length of hospital stay (LOHS), rehospitalization and mortality of patients admitted for CAP. METHODS A retrospective cohort study was conducted with patients presenting to a Swiss public hospital between January 2019 and December 2019. Zero-truncated negative binomial and multivariable logistic regression analyses were performed to assess risk factors. RESULTS A total of 300 patients were analyzed (median 78 years, IQR [67.56, 85.50] and 53% males) with an average LOHS of 7 days (IQR [5.00, 9.00]). Of the 300 patients, 31.6% (97/300) were re-hospitalized within 6 months, 2.7% (8/300) died within 30 days and 11.7% (35/300) died within 1 year. The results showed that sex (IRR = 0.877, 95% CI = 0.776-0.992, p-value = 0.036), age (IRR = 1.007, 95% CI = 1.002-1.012, p-value = 0.003), qSOFA score (IRR = 1.143, 95% CI = 1.049-1.246, p-value = 0.002) and atypical pneumonia (IRR = 1.357, 95% CI = 1.012-1.819, p-value = 0.04) were predictive of LOHS. Diabetes (OR = 2.149, 95% CI = 1.104-4.172, p-value = 0.024), a higher qSOFA score (OR = 1.958, 95% CI = 1.295-3.002, p-value = 0.002) and rehabilitation after discharge (OR = 2.222, 95% CI = 1.017-4.855, p-value = 0.044) were associated with a higher chance of being re-hospitalized within 6 months, whereas mortality within 30 days and within one year were both associated with older age (OR = 1.248, 95% CI = 1.056-1.562, p-value = 0.026 and OR = 1.073, 95% CI = 1.025-1.132, p-value = 0.005, respectively) and the presence of a cancer diagnosis (OR = 32.671, 95% CI = 4.787-369.1, p-value = 0.001 and OR = 4.408, 95% CI = 1.680-11.43, p-value = 0.002, respectively). CONCLUSION This study identified routinely available predictors for LOHS, rehospitalization and mortality in patients with CAP, which may further advance our understanding of CAP and thereby improve patient management, discharge planning and hospital costs.
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Affiliation(s)
- Giorgia Lüthi-Corridori
- University Centre of Internal Medicine, Cantonal Hospital Baselland, Rheinstrasse 26, 4410 Liestal, Switzerland; (G.L.-C.)
- Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland
| | - Maria Boesing
- University Centre of Internal Medicine, Cantonal Hospital Baselland, Rheinstrasse 26, 4410 Liestal, Switzerland; (G.L.-C.)
- Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland
| | - Andrea Roth
- University Centre of Internal Medicine, Cantonal Hospital Baselland, Rheinstrasse 26, 4410 Liestal, Switzerland; (G.L.-C.)
- Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland
| | - Stéphanie Giezendanner
- University Centre of Internal Medicine, Cantonal Hospital Baselland, Rheinstrasse 26, 4410 Liestal, Switzerland; (G.L.-C.)
- Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland
| | - Anne Barbara Leuppi-Taegtmeyer
- University Centre of Internal Medicine, Cantonal Hospital Baselland, Rheinstrasse 26, 4410 Liestal, Switzerland; (G.L.-C.)
- Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland
- Department of Patient Safety, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Philipp Schuetz
- Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland
- Cantonal Hospital Aarau, University Department of Medicine, Tellstrasse 25, 5001 Aarau, Switzerland
| | - Joerg D. Leuppi
- University Centre of Internal Medicine, Cantonal Hospital Baselland, Rheinstrasse 26, 4410 Liestal, Switzerland; (G.L.-C.)
- Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland
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Hu Y, Han Y, Yu C, Guo Y, Pei P, Yang L, Chen Y, Du H, Sun D, Pang Y, Niu W, Burgess S, Hacker A, Chen J, Chen Z, Lv J, Li L. The hospitalization burden of all-cause pneumonia in China: A population-based study, 2009-2017. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 22:100443. [PMID: 35400017 PMCID: PMC8991381 DOI: 10.1016/j.lanwpc.2022.100443] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND Pneumonia represents a public health problem of substantial health and economic burden. However, the evidence on the burden of adult pneumonia is limited in China. METHODS The China Kadoorie Biobank recruited 512,725 participants aged 30-79 years from five urban and five rural areas during 2004-2008. The current analyses included 506,086 participants who were alive in 2009. Pneumonia hospitalizations were ascertained through the health insurance system until December 31, 2017. Generalized linear models were used to examine the secular trends and regional and population variations in pneumonia hospitalization rate, mean length of hospital stay (LOS), and 30-day case fatality rate (CFR). FINDINGS A total of 27,879 participants with 36,567 pneumonia hospitalizations were identified with a mean follow-up time of 8·9 years. The unadjusted hospitalization rate was 8·4 (95% confidence interval [CI]: 8·3, 8·6) per 1000 person-years, with an increase of 15·5% annually from 4·2 (3·9, 4·4) in 2009 to 10·9 (10·6, 11·3) in 2017, after adjusting for age, sex, study area. The mean LOS was 8·8 (95% CI: 8·7, 8·9) days, with a slight decrease of 1·0% annually from 2009 to 2017. The average 30-day CFR remained practically unchanged at 2·4 (95% CI: 2·2, 2·5) deaths per 100 admissions. A clear seasonal pattern of pneumonia hospitalization rate was observed, and the hospitalization rate and CFR differed across regions and subpopulations of different ages and underlying conditions. INTERPRETATION There was an increasing hospitalization burden of pneumonia in Chinese adults, especially for adults aged ≥60 years or those with underlying conditions. FUNDING The National Natural Science Foundation of China, the Kadoorie Charitable Foundation, the National Key R&D Program of China, the Chinese Ministry of Science and Technology. TRANSLATED ABSTRACT IN CHINESE This translation in Chinese was submitted by the authors and we reproduce it as supplied. It has not been peer reviewed. Our editorial processes have only been applied to the original abstract in English, which should serve as reference for this manuscript. :, ., .:(China Kadoorie Biobank)2004-2008555030-79.506,086200911.20091120171231.,30,.:8.9, 27,879, 36,567.8.4 (95% CI:8.3, 8.6)/1000, ,, 20094.2 (3.9, 4.4)201710.9 (10.6, 11.3), 15.5%.8.8(95% CI:8.7, 8.9), 1.0%.30, 2.4(95% CI:2.2, 2.5)/100.;,, 30.:, ≥60.
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Affiliation(s)
- Yizhen Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Yuting Han
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Wenbin Niu
- Maiji District Center for Disease Control and Prevention, Gansu 741020, China
| | - Sushila Burgess
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Alex Hacker
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
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Fang YY, Ni JC, Wang Y, Yu JH, Fu LL. Risk factors for hospital readmissions in pneumonia patients: A systematic review and meta-analysis. World J Clin Cases 2022; 10:3787-3800. [PMID: 35647168 PMCID: PMC9100707 DOI: 10.12998/wjcc.v10.i12.3787] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/25/2022] [Accepted: 03/16/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Factors that are associated with the short-term rehospitalization have been investigated previously in numerous studies. However, the majority of these studies have not produced any conclusive results because of their smaller sample sizes, differences in the definition of pneumonia, joint pooling of the in-hospital and post-discharge deaths and lower generalizability.
AIM To estimate the effect of various risk factors on the rate of hospital readmissions in patients with pneumonia.
METHODS Systematic search was conducted in PubMed Central, EMBASE, MEDLINE, Cochrane library, ScienceDirect and Google Scholar databases and search engines from inception until July 2021. We used the Newcastle Ottawa (NO) scale to assess the quality of published studies. A meta-analysis was carried out with random-effects model and reported pooled odds ratio (OR) with 95% confidence interval (CI).
RESULTS In total, 17 studies with over 3 million participants were included. Majority of the studies had good to satisfactory quality as per NO scale. Male gender (pooled OR = 1.22; 95%CI: 1.16-1.27), cancer (pooled OR = 1.94; 95%CI: 1.61-2.34), heart failure (pooled OR = 1.28; 95%CI: 1.20-1.37), chronic respiratory disease (pooled OR = 1.37; 95%CI: 1.19-1.58), chronic kidney disease (pooled OR = 1.38; 95%CI: 1.23-1.54) and diabetes mellitus (pooled OR = 1.18; 95%CI: 1.08-1.28) had statistically significant association with the hospital readmission rate among pneumonia patients. Sensitivity analysis showed that there was no significant variation in the magnitude or direction of outcome, indicating lack of influence of a single study on the overall pooled estimate.
CONCLUSION Male gender and specific chronic comorbid conditions were found to be significant risk factors for hospital readmission among pneumonia patients. These results may allow clinicians and policymakers to develop better intervention strategies for the patients.
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Affiliation(s)
- Yuan-Yuan Fang
- Department of Geriatrics, Affiliated Hospital of Shaoxing University, Shaoxing 312000, Zhejiang Province, China
| | - Jian-Chao Ni
- Department of Geriatrics, Affiliated Hospital of Shaoxing University, Shaoxing 312000, Zhejiang Province, China
| | - Yin Wang
- Department of Internal Medicine, Yuecheng People’s Hospital, Shaoxing 312000, Zhejiang Province, China
| | - Jian-Hong Yu
- Department of Geriatrics, Affiliated Hospital of Shaoxing University, Shaoxing 312000, Zhejiang Province, China
| | - Ling-Ling Fu
- Department of Respiratory Medicine, Zhuji Affiliated Hospital of Shaoxing University, Zhuji 311800, Zhejiang Province, China
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Tantawichien T, Hsu LY, Zaidi O, Bernauer M, Du F, Yamada E, Kim JO, Sukarom I. Systematic literature review of the disease burden and vaccination of pneumococcal disease among adults in select Asia-Pacific areas. Expert Rev Vaccines 2021; 21:215-226. [PMID: 34894996 DOI: 10.1080/14760584.2022.2016399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Pneumococcal diseases are common and cause significant morbidity and mortality, with higher rates especially in developing areas including many in the Asia-Pacific (AP) region. However, current strategies to prevent pneumococcal disease in adults are quite complicated and not well implemented among many AP areas, and vaccination coverage rates among adults are generally low or perceived as low in the region. Thus, this literature review's purpose was to summarize the disease burden and vaccination against pneumococcal diseases among adults in select AP areas (Australia, Hong Kong, India, Indonesia, South Korea, Malaysia, New Zealand, the Philippines, Singapore, Taiwan, Thailand, and Vietnam). AREAS COVERED This systematic review included published articles from January 2010 to August 2020 using MEDLINE/Embase. Grey literature websites were searched for national immunization programs and medical society vaccination recommendations from areas of interest. A total of 69 publications were identified. EXPERT OPINION In the AP region, pneumococcal disease burden and serotype prevalence are variable among adult populations, particularly among older adults. Data was provided primarily from countries with established national immunization programs (NIPs). Further research on the disease burden and emphasis on the benefits of vaccination in AP areas lacking pneumococcal vaccination programs is warranted.
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Affiliation(s)
- Terapong Tantawichien
- Department of Medicine, Faculty of Medicine and Tropical Medicine Cluster, Chulalongkorn University, Bangkok, Thailand
| | - Li Yang Hsu
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Omer Zaidi
- Evidence & Access, OPEN Health, Newton, MA, USA
| | | | - Frieda Du
- Evidence & Access, OPEN Health, Shanghai, China
| | - Eriko Yamada
- Global Medical and Scientific Affairs, MSD Singapore, Singapore
| | - Jin Oh Kim
- Global Medical and Scientific Affairs, MSD Korea, Seoul, Republic of Korea
| | - Isaya Sukarom
- Center for Observational and Real-world Evidence, MSD Thailand, Bangkok, Thailand
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Yu Q, Li X, Fan M, Qiu H, Wong AYS, Tian L, Chui CSL, Li PH, Lau LKW, Chan EW, Goggins WB, Ip P, Lum TY, Hung IFN, Cowling BJ, Wong ICK, Jit M. The impact of childhood pneumococcal conjugate vaccine immunisation on all-cause pneumonia admissions in Hong Kong: A 14-year population-based interrupted time series analysis. Vaccine 2021; 39:2628-2635. [PMID: 33858719 DOI: 10.1016/j.vaccine.2021.03.090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 03/25/2021] [Accepted: 03/29/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Nine years after the introduction of pneumococcal conjugate vaccine (PCV) in the United States, Hong Kong (HK) introduced the vaccine to its universal childhood immunisation programme in 2009. We aimed to assess the impact of childhood PCV immunisation on all-cause pneumonia (ACP) admissions among the overall population of HK. METHODS In this population-based interrupted time series analysis, we used territory-wide population-representative electronic health records in HK to evaluate the vaccine impact. We identified hospitalised patients with a diagnosis of pneumonia from any cause between 2004 and 2017. We applied segmented Poisson regression to assess the gradual change in the monthly incidence of ACP admissions between pre- and post-vaccination periods. Negative outcome control, subgroup and sensitivity analyses were used to test the robustness of the main analysis. FINDINGS Over the 14-year study period, a total of 587,607 ACP episodes were identified among 357,950 patients. The monthly age-standardised incidence of ACP fluctuated between 33.42 and 87.44 per 100,000-persons. There was a marginal decreasing trend in pneumonia admissions after PCV introduction among overall population (incidence rate ratio [IRR]: 0·9965, 95% confidence interval [CI]: 0·9932-0·9998), and older adults (≥65 years, IRR: 0·9928, 95% CI: 0·9904-0·9953) but not in younger age groups. INTERPRETATION There was a marginally declining trend of overall ACP admissions in HK up to eight years after childhood PCV introduction. The significance disappeared when fitting sensitivity analyses. The results indicate the complexities of using non-specific endpoints for measuring vaccine effect and the necessity of enhancing serotype surveillance systems for replacement monitoring. FUNDING Health and Medical Research Fund, Food and Health Bureau of the Government of Hong Kong (Reference number: 18171272).
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Affiliation(s)
- Qiuyan Yu
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D²4H), Hong Kong, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong; Laboratory of Data Discovery for Health (D²4H), Hong Kong, China.
| | - Min Fan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Hong Qiu
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
| | - Angel Y S Wong
- Department of Non-communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Linwei Tian
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Celine S L Chui
- Laboratory of Data Discovery for Health (D²4H), Hong Kong, China; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Philip H Li
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Lauren K W Lau
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Esther W Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D²4H), Hong Kong, China
| | - William B Goggins
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Terry Y Lum
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong, China; Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong, China
| | - Ivan F N Hung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Benjamin J Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ian C K Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D²4H), Hong Kong, China; Research Department of Policy and Practice, University College London School of Pharmacy, London, UK
| | - Mark Jit
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
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Alvis-Zakzuk NJ, Arroyave I, Castañeda-Orjuela C, De La Hoz-Restrepo F, Alvis-Guzman N. Education and pneumonia mortality: a trend analysis of its inequalities in Colombian adults. BMJ Open Respir Res 2020; 7:e000695. [PMID: 33199401 PMCID: PMC7670943 DOI: 10.1136/bmjresp-2020-000695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 09/30/2020] [Accepted: 10/03/2020] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE To explore the existence and trends of social inequalities related to pneumonia mortality in Colombian adults using educational level as a proxy of socioeconomic status. METHODS We obtained individual and anonymised registries from death certificates due to pneumonia for 1998-2015. Educational level data were gathered from microdata of the Colombian Demography Health Surveys. Rate ratios (RR) were estimated by using Poisson regression models, comparing mortality of educational groups with mortality in the highest education group. Relative index of inequality (RII) was measured to assess changes in disparities, regressing mortality on the midpoint of the cumulative distribution of education, thereby considering the size of each educational group. RESULTS For adults 25+ years, the risk of dying was significantly higher among lower educated. The RRs depict increased risks of dying comparing lower and highest education level, and this tendency was stronger in woman than in men (RR for primary education=2.34 (95% CI 2.32 to 2.36), RR for secondary education=1.77 (95% CI 1.75 to 1.78) versus RR for primary education=1.83 (95% CI 1.81 to 1.85), RR for secondary education=1.51 (95% CI 1.50 to 1.53)). According to age groups, young adults (25-44 years) showed the largest inequality in terms of educational level; RRs for pneumonia mortality regarding the tertiary educated groups show increased mortality in the lower and secondary educated, and these differences decreased with ages. RII in pneumonia mortality among adult men was 2.01 (95% CI 2.00 to 2.03) and in women 2.46 (95% CI 2.43 to 2.48). The RII was greatest at young ages, for both sexes. Time trends showed steadily significant increases for RII in both men and women (estimated annual percentage change (EAPC)men=3.8; EAPCwomen=2.6). CONCLUSION A significant increase on the educational inequalities in mortality due to pneumonia during all period was found among men and women. Efforts to reduce pneumonia mortality in adults improving population health by raising education levels should be strengthened with policies that assure widespread access to economic and social opportunities.
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Affiliation(s)
- Nelson J Alvis-Zakzuk
- Observatorio Nacional de Salud, Instituto Nacional de Salud, Bogota, Colombia
- Ciencias de la Salud, Universidad de la Costa-CUC, Barranquilla, Colombia
| | - Ivan Arroyave
- Escuela Nacional de Salud Pública, Universidad de Antioquia, Medellin, Colombia
| | | | | | - Nelson Alvis-Guzman
- Ciencias Económicas, Universidad de Cartagena, Cartagena, Colombia
- Health Technology Assesment, ALZAK Foundation, Cartagena, Colombia
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Chung HY, Tam LS, Chan SCW, Cheung JPY, Wong PY, Ciang CO, Ng HY, Law MY, Lai TL, Wong CH. Risk of community-acquired pneumonia requiring hospitalization in patients with spondyloarthritis. Ther Adv Musculoskelet Dis 2020; 12:1759720X20962618. [PMID: 33133244 PMCID: PMC7576917 DOI: 10.1177/1759720x20962618] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 09/02/2020] [Indexed: 12/17/2022] Open
Abstract
AIMS To compare the risk of community-acquired pneumonia (CAP) requiring hospitalization in spondyloarthritis (SpA) and non-specific back pain (NSBP), and to identify the risk factors for CAP in SpA. METHODS A total of 2984 patients with SpA from 11 rheumatology centers and 2526 patients with NSBP from orthopedic units were reviewed from the centralized electronic database in Hong Kong. Incidence of CAP requiring hospitalization and demographic data including age, gender, smoking and drinking status, use of sulfasalazine, individual biological-disease modifying anti-rheumatic drugs (DMARDs) used, micro-organisms, other immunosuppressants or immunosuppressive states, use of steroid for more than ½ year, and co-morbidities were identified. Risks of CAP in SpA were compared with those in NSBP using propensity score regression method. Multivariate Cox regression model was used to identify the risk factors in SpA. RESULTS CAP requiring hospitalization was found in 183 patients with SpA and 138 patients with NSBP. Increased risk for CAP was found in the following groups with SpA: all subgroups (hazard ratio (HR) 2.14, p < 0.001), without use of DMARDs (HR 2.64, p < 0.001), without psoriasis and not taking DMARDs (HR 2.38, p < 0.001). Infliximab (HR2.55, p = 0.04), smoking (HR 1.68, p = 0.003), comorbid psoriasis (HR 1.67, p = 0.003), and use of steroid for more than ½ year (HR 1.94, p = 0.003) were found to associate with CAP after adjustments for traditional risk factors. CONCLUSION Risk of CAP is increased in patients with SpA. Our data favor universal influenza and pneumococcal vaccination programs in the population. Rheumatologists should also advise smoking cessation and avoid long term steroid therapy.
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Affiliation(s)
- Ho Yin Chung
- Division of Rheumatology and Clinical Immunology, the University of Hong Kong, 102, Pokfulam Road, Hong Kong, China
| | - Lai Shan Tam
- Department of Medicine & Therapeutics, the Prince of Wales Hospital, the Chinese University of Hong Kong
| | - Shirley Chiu Wai Chan
- Division of Rheumatology and Clinical Immunology, the University of Hong Kong, Hong Kong
| | - Jason Pui Yin Cheung
- Department of Orthopaedics and Traumatology, the University of Hong Kong, Hong Kong
| | - Pui Yan Wong
- Department of Rheumatology, Tseung Kwan O Hospital, Hong Kong
| | - Chu Oi Ciang
- Department of Medicine, Queen Elizabeth Hospital, Hong Kong
| | - Hoi Yan Ng
- Division of Rheumatology, Caritas Medical Center, Hong Kong
| | - Mei Yan Law
- Department of Medicine, Alice Ho Miu Ling Nethersole Hospital, Hong Kong
| | - Tin Lok Lai
- Department of Rheumatology, Tseung Kwan O Hospital, Hong Kong
| | - Ching Han Wong
- Department of Medicine & Therapeutics, the Prince of Wales Hospital, the Chinese University of Hong Kong
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Factors Associated With 30-Day Rehospitalization and Mortality in Older Patients After a Pneumonia Admission. J Am Med Dir Assoc 2020; 21:1869-1878.e10. [PMID: 33036912 DOI: 10.1016/j.jamda.2020.08.025] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 06/22/2020] [Accepted: 08/19/2020] [Indexed: 12/27/2022]
Abstract
OBJECTIVES Short-term rehospitalization and mortality are common events in older patients after a pneumonia admission, yet little knowledge exists on how to identify the patients at risk of these events. This knowledge is needed to ensure that health care attention is given to those with the highest needs. We therefore aimed to identify factors of importance for short-term rehospitalization and mortality in older patients after admission for pneumonia. DESIGN Population-based cohort study. SETTING The Danish nationwide registries. PARTICIPANTS In total, 246,245 individuals aged 65-99 years who experienced 298,564 admissions for pneumonia from 2000 to 2016. METHODS The explored factors in patients were demographic characteristics, health-seeking behavior, comorbidity, and medication use. A Cox proportional hazards model was used to calculate hazard ratios (HRs) for 30-day rehospitalization and 30-day mortality with 95% confidence intervals (CIs). RESULTS Of the 298,564 admissions for pneumonia, 23.0% were rehospitalized and 8.1% died within 30 days of follow-up. Most of the investigated factors were significantly associated with these 2 outcomes. The HRs for rehospitalization ranged from 0.80 (95% CI 0.75-0.85) for old vs young age to 4.29 (95% CI 4.05-4.54) for many vs no prior admissions, whereas the HRs for mortality ranged from 0.87 (95% CI 0.83-0.91) for any vs no practical home care to 5.47 (95% CI 5.08-5.88) for old vs young age. Number of comorbidities, medications, and prior contacts to the health care system were associated with higher risk of both rehospitalization and mortality in a dose-response manner. CONCLUSIONS AND IMPLICATIONS This study identified several potential factors of importance for short-term rehospitalization and mortality in older patients discharged after pneumonia. This knowledge can help physicians identify the patients with the highest need of care after admission for pneumonia, thus enabling efficient discharge planning and high-quality provision of care in primary care settings.
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Shami JJP, Pathadka S, Chan EW, Hui J, Sato R, Patil S, Li X. Evaluating the cost-effectiveness of a sequential pneumococcal vaccination compared to single-dose vaccination strategy for adults in Hong Kong. Hum Vaccin Immunother 2020; 16:1937-1944. [PMID: 31977268 DOI: 10.1080/21645515.2019.1711300] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Two vaccines, 23-valent pneumococcal polysaccharide vaccine (PPSV23) and 13-valent pneumococcal conjugate vaccine (PCV13), are widely available for the prevention of pneumococcal disease in adults. However, it is unclear how cost-effective these pneumococcal vaccine choices are in the Hong Kong healthcare environment. We aimed to assess the cost-effectiveness of a sequential administration of PCV13 followed by PPSV23 compared to a single dose of PPSV23 vaccination for pneumococcal disease control in Hong Kong adults aged ≥65 years and individuals aged 20-64 years with immunocompromising and chronic conditions. A previously developed deterministic cohort sequential model was applied to compare the outcomes of two vaccination strategies from a societal perspective. Population-specific model input, including incidence, mortality, case-fatality, risk group distribution, vaccination costs, disease management, and productivity loss, was estimated from a Hong Kong-wide electronic medical database. Costs were valued in US$ in 2017. Vaccination strategies with an incremental cost-effectiveness ratio (ICER, defined as incremental cost per QALY saved) less than one local GDP per capita ($46,193 in 2017) were defined as highly cost-effective. Deterministic sensitivity analyses (SA) were conducted. Compared with single-dose PPSV23, sequential vaccination of PCV13 followed by PPSV23 was cost-saving for adults aged ≥20 years. In the deterministic SA, the base-case results were robust for tested parameter uncertainties. Future vaccination policies should consider the cost-effectiveness of a sequential vaccination strategy as a measure to reduce the vaccine-preventable pneumococcal disease burden in Hong Kong.
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Affiliation(s)
- Jessica J P Shami
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong , Hong Kong Special Administrative Region, Hong Kong, China
| | - Swathi Pathadka
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong , Hong Kong Special Administrative Region, Hong Kong, China
| | - Esther W Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong , Hong Kong Special Administrative Region, Hong Kong, China
| | | | | | | | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong , Hong Kong Special Administrative Region, Hong Kong, China
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