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Huang R, Kartsonaki C, Turnbull I, Pei P, Chen Y, Liu J, Du H, Sun D, Yang L, Barnard M, Lv J, Yu C, Chen J, Li L, Chen Z, Bragg F. Incidence and mortality rates of 14 site-specific infectious diseases in 10 diverse areas of China: findings from China Kadoorie Biobank, 2006-2018. Int J Infect Dis 2024:107169. [PMID: 39002770 DOI: 10.1016/j.ijid.2024.107169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 06/20/2024] [Accepted: 07/08/2024] [Indexed: 07/15/2024] Open
Abstract
BACKGROUND Infectious diseases remain a major global health concern, including in China, with an estimated >10 million cases of infectious disease in 2019. We describe the burden of site-specific infectious diseases among Chinese adults. METHODS From 2004 to 2008, the prospective China Kadoorie Biobank enrolled 512,726 adults aged 30-79 years from 10 diverse areas (5 rural, 5 urban) of China. During the 12 years of follow-up, 101,673 participants were hospitalised for any infectious disease. Descriptive analyses examined standardised incidence, mortality, and case fatality of infections. FINDINGS The incidence of any infectious disease was 1856 per 100,000 person-years; respiratory tract infections (1069) were most common. The infectious disease mortality rate was 31.8 per 100,000 person years (20.3 and 9.4 for respiratory and non-respiratory infections, respectively) and case fatality was 2.2% (2.6% and 1.6% for respiratory and non-respiratory infections, respectively). Infectious disease incidence and mortality rates were higher at older ages and in rural areas. There were no clear sex-differences in infectious disease incidence rates, but mortality and case fatality rates were twice as high in men as in women. INTERPRETATION Infectious diseases were common in Chinese adults. The observed burden of, and disparities in, site-specific infections can inform targeted prevention efforts. FUNDING Kadoorie Foundation, Wellcome Trust, MRC, BHF, CR-UK, MoST, NNSF.
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Affiliation(s)
- Rui Huang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, UK
| | - Christiana Kartsonaki
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, UK.
| | - Iain Turnbull
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, UK
| | - Pei Pei
- Peking University Centre for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, UK
| | - Jingchao Liu
- Suzhou Centre of Disease Prevention and Control, 269 Taihu West Road, Suzhou 215128, China
| | - Huaidong Du
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, UK
| | - Dianjianyi Sun
- Peking University Centre for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, UK
| | - Maxim Barnard
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, UK
| | - Jun Lv
- Peking University Centre for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Canqing Yu
- Peking University Centre for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Junshi Chen
- National Centre for Food Safety Risk Assessment, 37 Guangqu Road, Beijing 100021, China
| | - Liming Li
- Peking University Centre for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, UK
| | - Fiona Bragg
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, UK; Health Data Research UK Oxford, University of Oxford, Oxford, UK
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Quiros-Roldan E, Sottini A, Natali PG, Imberti L. The Impact of Immune System Aging on Infectious Diseases. Microorganisms 2024; 12:775. [PMID: 38674719 PMCID: PMC11051847 DOI: 10.3390/microorganisms12040775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 03/22/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Immune system aging is becoming a field of increasing public health interest because of prolonged life expectancy, which is not paralleled by an increase in health expectancy. As age progresses, innate and adaptive immune systems undergo changes, which are defined, respectively, as inflammaging and immune senescence. A wealth of available data demonstrates that these two conditions are closely linked, leading to a greater vulnerability of elderly subjects to viral, bacterial, and opportunistic infections as well as lower post-vaccination protection. To face this novel scenario, an in-depth assessment of the immune players involved in this changing epidemiology is demanded regarding the individual and concerted involvement of immune cells and mediators within endogenous and exogenous factors and co-morbidities. This review provides an overall updated description of the changes affecting the aging immune system, which may be of help in understanding the underlying mechanisms associated with the main age-associated infectious diseases.
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Affiliation(s)
- Eugenia Quiros-Roldan
- Department of Infectious and Tropical Diseases, ASST- Spedali Civili and DSCS- University of Brescia, 25123 Brescia, Italy;
| | - Alessandra Sottini
- Clinical Chemistry Laboratory, Services Department, ASST Spedali Civili of Brescia, 25123 Brescia, Italy;
| | - Pier Giorgio Natali
- Mediterranean Task Force for Cancer Control (MTCC), Via Pizzo Bernina, 14, 00141 Rome, Italy;
| | - Luisa Imberti
- Section of Microbiology, University of Brescia, P. le Spedali Civili, 1, 25123 Brescia, Italy
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Zhang Y, Hu M, Xiang B, Yu H, Wang Q. Urban-rural disparities in the association of nitrogen dioxide exposure with cardiovascular disease risk in China: effect size and economic burden. Int J Equity Health 2024; 23:22. [PMID: 38321458 PMCID: PMC10845777 DOI: 10.1186/s12939-024-02117-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/23/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Together with rapid urbanization, ambient nitrogen dioxide (NO2) exposure has become a growing health threat. However, little is known about the urban-rural disparities in the health implications of short-term NO2 exposure. This study aimed to compare the association between short-term NO2 exposure and hospitalization for cardiovascular disease (CVD) among urban and rural residents in Shandong Province, China. Then, this study further explored the urban-rural disparities in the economic burden attributed to NO2 and the explanation for the disparities. METHODS Daily hospitalization data were obtained from an electronic medical records dataset covering a population of 5 million. In total, 303,217 hospital admissions for CVD were analyzed. A three-stage time-series analytic approach was used to estimate the county-level association and the attributed economic burden. RESULTS For every 10-μg/m3 increase in NO2 concentrations, this study observed a significant percentage increase in hospital admissions on the day of exposure of 1.42% (95% CI 0.92 to 1.92%) for CVD. The effect size was slightly higher in urban areas, while the urban-rural difference was not significant. However, a more pronounced displacement phenomenon was found in rural areas, and the economic burden attributed to NO2 was significantly higher in urban areas. At an annual average NO2 concentration of 10 μg/m3, total hospital days and expenses in urban areas were reduced by 81,801 (44,831 to 118,191) days and 60,121 (33,002 to 86,729) thousand CNY, respectively, almost twice as much as in rural areas. Due to disadvantages in socioeconomic status and medical resources, despite similar air pollution levels in the urban and rural areas of our sample sites, the rural population tended to spend less on hospitalization services. CONCLUSIONS Short-term exposure to ambient NO2 could lead to considerable health impacts in either urban or rural areas of Shandong Province, China. Moreover, urban-rural differences in socioeconomic status and medical resources contributed to the urban-rural disparities in the economic burden attributed to NO2 exposure. The health implications of NO2 exposure are a social problem in addition to an environmental problem. Thus, this study suggests a coordinated intervention system that targets environmental and social inequality factors simultaneously.
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Affiliation(s)
- Yike Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan, China
| | - Mengxiao Hu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan, China
| | - Bowen Xiang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan, China
| | - Haiyang Yu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan, China
| | - Qing Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.
- National Institute of Health Data Science of China, Shandong University, Jinan, China.
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Wang J, Shen Y, Wu Z, Ge W. Population Pharmacokinetics of Voriconazole and Dose Optimization in Elderly Chinese Patients. J Clin Pharmacol 2024; 64:253-263. [PMID: 37766506 DOI: 10.1002/jcph.2357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 08/31/2023] [Indexed: 09/29/2023]
Abstract
Voriconazole is commonly recommended as a first-line therapy for invasive aspergillosis infections. Elderly patients are susceptible to infectious diseases owing to their decreased physical function and immune system. Our study aims to establish a population pharmacokinetics model for elderly patients receiving intravenous voriconazole, and to optimize dosing protocols through a simulated approach. An accurate fit to the concentration-time profile of voriconazole was achieved by employing a 1-compartment model featuring first-order elimination. The typical clearance rate of voriconazole was found to be 3.22 L/h, with a typical volume of distribution of 194 L. The covariate analysis revealed that albumin (ALB), gamma-glutamyl transpeptidase, and direct bilirubin had significant impacts on voriconazole clearance. Additionally, body weight was found to be associated with the volume of distribution. Individualized dosing regimens were recommended for different ALB levels based on population pharmacokinetics model prediction. The proposed dosing regimens could provide a rationale for dosage individualization, improve the clinical outcomes, and minimize drug-related toxicities.
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Affiliation(s)
- Jing Wang
- Department of Pharmacy, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
- Nanjing Medical Center for Clinical Pharmacy, Nanjing, Jiangsu, China
| | - Yue Shen
- Department of Pharmacy,China Pharmaceutical University, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China
| | - Zejun Wu
- Department of Pharmacy, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Weihong Ge
- Department of Pharmacy, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
- Nanjing Medical Center for Clinical Pharmacy, Nanjing, Jiangsu, China
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Wang BY, Song K, Wang HT, Wang SS, Wang WJ, Li ZW, Du WY, Xue FZ, Zhao L, Cao WC. Comorbidity increases the risk of pulmonary tuberculosis: a nested case-control study using multi-source big data. BMC Pulm Med 2024; 24:29. [PMID: 38212743 PMCID: PMC10782630 DOI: 10.1186/s12890-023-02817-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 12/14/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Some medical conditions may increase the risk of developing pulmonary tuberculosis (PTB); however, no systematic study on PTB-associated comorbidities and comorbidity clusters has been undertaken. METHODS A nested case-control study was conducted from 2013 to 2017 using multi-source big data. We defined cases as patients with incident PTB, and we matched each case with four event-free controls using propensity score matching (PSM). Comorbidities diagnosed prior to PTB were defined with the International Classification of Diseases-10 (ICD-10). The longitudinal relationships between multimorbidity burden and PTB were analyzed using a generalized estimating equation. The associations between PTB and 30 comorbidities were examined using conditional logistic regression, and the comorbidity clusters were identified using network analysis. RESULTS A total of 4265 cases and 17,060 controls were enrolled during the study period. A total of 849 (19.91%) cases and 1141 (6.69%) controls were multimorbid before the index date. Having 1, 2, and ≥ 3 comorbidities was associated with an increased risk of PTB (aOR 2.85-5.16). Fourteen out of thirty comorbidities were significantly associated with PTB (aOR 1.28-7.27), and the associations differed by sex and age. Network analysis identified three major clusters, mainly in the respiratory, circulatory, and endocrine/metabolic systems, in PTB cases. CONCLUSIONS Certain comorbidities involving multiple systems may significantly increase the risk of PTB. Enhanced awareness and surveillance of comorbidity are warranted to ensure early prevention and timely control of PTB.
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Affiliation(s)
- Bao-Yu Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Ke Song
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Hai-Tao Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Shan-Shan Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Wen-Jing Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Zhen-Wei Li
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Wan-Yu Du
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Fu-Zhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 250012, Jinan, China
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250002, China
| | - Lin Zhao
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
| | - Wu-Chun Cao
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, 20 Dongda Street, Fengtai District, Beijing, 100071, China.
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Mésinèle L, Pujol T, Brunetti N, Neiss M, Trivalle C, Souques C, Houenou-Quenum N, Verdier S, Simon P, Vetillard AL, Houdre J, Collarino R, Mary M, Vidal JS, Kahn JE, Guichardon M, Duron E, Baudouin E. Association between low eosinophil count and acute bacterial infection, a prospective study in hospitalized older adults. BMC Geriatr 2023; 23:852. [PMID: 38093181 PMCID: PMC10720062 DOI: 10.1186/s12877-023-04581-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND The incidence of sepsis increases significantly with age, including a high incidence of bacterial infection in the old adults. Eosinopenia and the CIBLE score have been proposed in critically ill adults and in internal medicine wards. This study aimed to assess whether a low eosinophil count was associated with acute bacterial infection among hospitalized older adults, and to find the most efficient eosinophil count cut-off to differentiate acute bacterial infection from other inflammatory states. METHODS This was a prospective study from July 2020 to July 2022 in geriatric wards of the University Paul Brousse Hospital (Villejuif, France) including patients aged of 75 y/o or over suffering from fever or biological inflammation. Acute bacterial infection was assessed using biological identification and/or clinical and radiological data. RESULTS A total of 156 patients were included. Eighty-two (53%) patients suffered from acute bacterial infection (mean age (SD) 88.7 (5.9)). Low eosinophil count was independently associated with acute bacterial infection: OR [CI95%] 3.03 [1.04-9.37] and 6.08 [2.42-16.5] for eosinophil count 0-0.07 G/L and 0.07-0.172 G/L respectively (vs. eosinophil count > 0.172 G/L). Specificity and sensitivity for eosinophil count < 0.01 G/L and CIBLE score were 84%-49% and 72%-62%, respectively with equivalent AUCs (0.66 and 0.67). CONCLUSION Eosinophil count < 0.01 G/L is a simple, routinely used and inexpensive tool which can easily participate in antibiotic decisions for older adults. Further studies are needed to assess clinical benefits. TRIAL REGISTRATION The study was registered at Clinical trial.gov (NCT04363138-23/04/2020).
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Affiliation(s)
- Léa Mésinèle
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Tom Pujol
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Nicoletta Brunetti
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Marie Neiss
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Christophe Trivalle
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Cecile Souques
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Nadège Houenou-Quenum
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Sébastien Verdier
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Pauline Simon
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Anne-Laure Vetillard
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Julie Houdre
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Rocco Collarino
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Morgane Mary
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Jean-Sébastien Vidal
- Département de Gériatrie, Assistance Publique-Hôpitaux de Paris, Hôpital Broca, Paris, France
- Université Paris Descartes, INSERM, Paris, France
| | - Jean-Emmanuel Kahn
- Department of Internal Medicine, APHP, Ambroise Paré Hospital, Université de Versailles-Saint- Quentin en Yvelines, Yvelines, France
| | - Magali Guichardon
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
| | - Emmanuelle Duron
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France
- CESP, Team MOODS, Université Paris-Saclay, UVSQ, Le Kremlin-Bicêtre, France
| | - Edouard Baudouin
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris- Saclay, Hôpital Paul-Brousse- Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France.
- CESP, Team MOODS, Université Paris-Saclay, UVSQ, Le Kremlin-Bicêtre, France.
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Gentry Z, Zhao L, Faust RA, David RE, Norton J, Xagoraraki I. Wastewater surveillance beyond COVID-19: a ranking system for communicable disease testing in the tri-county Detroit area, Michigan, USA. Front Public Health 2023; 11:1178515. [PMID: 37333521 PMCID: PMC10272568 DOI: 10.3389/fpubh.2023.1178515] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/12/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Throughout the coronavirus disease 2019 (COVID-19) pandemic, wastewater surveillance has been utilized to monitor the disease in the United States through routine national, statewide, and regional monitoring projects. A significant canon of evidence was produced showing that wastewater surveillance is a credible and effective tool for disease monitoring. Hence, the application of wastewater surveillance can extend beyond monitoring SARS-CoV-2 to encompass a diverse range of emerging diseases. This article proposed a ranking system for prioritizing reportable communicable diseases (CDs) in the Tri-County Detroit Area (TCDA), Michigan, for future wastewater surveillance applications at the Great Lakes Water Authority's Water Reclamation Plant (GLWA's WRP). Methods The comprehensive CD wastewater surveillance ranking system (CDWSRank) was developed based on 6 binary and 6 quantitative parameters. The final ranking scores of CDs were computed by summing the multiplication products of weighting factors for each parameter, and then were sorted based on decreasing priority. Disease incidence data from 2014 to 2021 were collected for the TCDA. Disease incidence trends in the TCDA were endowed with higher weights, prioritizing the TCDA over the state of Michigan. Results Disparities in incidences of CDs were identified between the TCDA and state of Michigan, indicating epidemiological differences. Among 96 ranked CDs, some top ranked CDs did not present relatively high incidences but were prioritized, suggesting that such CDs require significant attention by wastewater surveillance practitioners, despite their relatively low incidences in the geographic area of interest. Appropriate wastewater sample concentration methods are summarized for the application of wastewater surveillance as per viral, bacterial, parasitic, and fungal pathogens. Discussion The CDWSRank system is one of the first of its kind to provide an empirical approach to prioritize CDs for wastewater surveillance, specifically in geographies served by centralized wastewater collection in the area of interest. The CDWSRank system provides a methodological tool and critical information that can help public health officials and policymakers allocate resources. It can be used to prioritize disease surveillance efforts and ensure that public health interventions are targeted at the most potentially urgent threats. The CDWSRank system can be easily adopted to geographical locations beyond the TCDA.
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Affiliation(s)
- Zachary Gentry
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States
| | - Liang Zhao
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States
| | | | - Randy E. David
- Wayne State University School of Medicine, Detroit, MI, United States
| | - John Norton
- Great Lakes Water Authority, Detroit, MI, United States
| | - Irene Xagoraraki
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States
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Peng P, Li J, Chen Y, Li M, Ma F, Ji S, Sun S, Tang F. Associations between antipsychotics and the risk of incident cardiovascular diseases in individuals with schizophrenia: a nested case-control study. BMJ MENTAL HEALTH 2023; 26:e300501. [PMID: 37290905 PMCID: PMC10254892 DOI: 10.1136/bmjment-2022-300501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 05/19/2023] [Indexed: 06/10/2023]
Abstract
BACKGROUND The association between antipsychotics and cardiovascular diseases (CVDs) remains significant yet unestablished, especially in Chinese populations. OBJECTIVE To investigate the risk of CVDs associated with antipsychotics among Chinese individuals with schizophrenia. METHODS We conducted a nested case-control study on individuals diagnosed with schizophrenia in Shandong, China. The case group included individuals diagnosed with incident CVDs between 2012 and 2020. Each case was randomly matched with up to three controls. We used weighted logistic regression models to assess the risk of CVDs associated with antipsychotics and restricted cubic spline analysis to explore the dose-response relationship. FINDINGS In total, 2493 cases and 7478 matched controls were included in the analysis. Compared with non-users, any antipsychotics use was associated with higher risk of any CVDs (weighted OR=1.54, 95% CI 1.32 to 1.79), with the risk mainly driven by ischaemic heart diseases (weighted OR=2.26, 95% CI 1.71 to 2.99). Treatments with haloperidol, aripiprazole, quetiapine, olanzapine, risperidone, sulpiride and chlorpromazine were associated with increased risk of CVDs. A non-linear dose-response relationship between dosage of antipsychotics and risk of CVDs was observed, with a sharp increase in risk in the beginning and then flattening out with higher doses. CONCLUSIONS Use of antipsychotics was associated with increased risk of incident CVDs among individuals with schizophrenia, and the risk varied substantially among different antipsychotics and specific CVDs. CLINICAL IMPLICATIONS Clinicians should consider the cardiovascular risk of antipsychotics and choose the appropriate type and dose of drugs in the treatment of schizophrenia.
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Affiliation(s)
- Peng Peng
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China
| | - Jiqing Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yujiao Chen
- School of Public Health, Weifang Medical University, Weifang, Shandong, China
| | - Mingzhuo Li
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China
| | - Feifei Ma
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China
| | - Shuang Ji
- School of Public Health, Weifang Medical University, Weifang, Shandong, China
| | - Shihua Sun
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Fang Tang
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China
- Shandong Provincial Qianfoshan Hospital, Shandong University Cheeloo College of Medicine, Jinan, Shandong, China
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9
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Zhao L, Wang HT, Ye RZ, Li ZW, Wang WJ, Wei JT, Du WY, Yin CN, Wang SS, Liu JY, Ji XK, Wang YC, Cui XM, Liu XY, Li CY, Qi C, Liu LL, Li XJ, Xue FZ, Cao WC. Profile and dynamics of infectious diseases: a population-based observational study using multi-source big data. BMC Infect Dis 2022; 22:332. [PMID: 35379167 PMCID: PMC8977827 DOI: 10.1186/s12879-022-07313-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 03/24/2022] [Indexed: 12/02/2022] Open
Abstract
Background The current surveillance system only focuses on notifiable infectious diseases in China. The arrival of the big-data era provides us a chance to elaborate on the full spectrum of infectious diseases. Methods In this population-based observational study, we used multiple health-related data extracted from the Shandong Multi-Center Healthcare Big Data Platform from January 2013 to June 2017 to estimate the incidence density and describe the epidemiological characteristics and dynamics of various infectious diseases in a population of 3,987,573 individuals in Shandong province, China. Results In total, 106,289 cases of 130 infectious diseases were diagnosed among the population, with an incidence density (ID) of 694.86 per 100,000 person-years. Besides 73,801 cases of 35 notifiable infectious diseases, 32,488 cases of 95 non-notifiable infectious diseases were identified. The overall ID continuously increased from 364.81 per 100,000 person-years in 2013 to 1071.80 per 100,000 person-years in 2017 (χ2 test for trend, P < 0.0001). Urban areas had a significantly higher ID than rural areas, with a relative risk of 1.25 (95% CI 1.23–1.27). Adolescents aged 10–19 years had the highest ID of varicella, women aged 20–39 years had significantly higher IDs of syphilis and trichomoniasis, and people aged ≥ 60 years had significantly higher IDs of zoster and viral conjunctivitis (all P < 0.05). Conclusions Infectious diseases remain a substantial public health problem, and non-notifiable diseases should not be neglected. Multi-source-based big data are beneficial to better understand the profile and dynamics of infectious diseases. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-022-07313-6.
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Affiliation(s)
- Lin Zhao
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Occupational Health and Occupational Medicine, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hai-Tao Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Run-Ze Ye
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhen-Wei Li
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wen-Jing Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jia-Te Wei
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wan-Yu Du
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chao-Nan Yin
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Shan-Shan Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jin-Yue Liu
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiao-Kang Ji
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, 12550 Erhuan Donglu, Jinan, 250002, China
| | - Yong-Chao Wang
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, 12550 Erhuan Donglu, Jinan, 250002, China
| | - Xiao-Ming Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, 20 Dong-da Street, Fengtai District, Beijing, 100071, China
| | - Xue-Yuan Liu
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chun-Yu Li
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, 12550 Erhuan Donglu, Jinan, 250002, China
| | - Chang Qi
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, 12550 Erhuan Donglu, Jinan, 250002, China
| | - Li-Li Liu
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, 12550 Erhuan Donglu, Jinan, 250002, China
| | - Xiu-Jun Li
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, 12550 Erhuan Donglu, Jinan, 250002, China
| | - Fu-Zhong Xue
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, 12550 Erhuan Donglu, Jinan, 250002, China.
| | - Wu-Chun Cao
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China. .,State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, 20 Dong-da Street, Fengtai District, Beijing, 100071, China.
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10
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Antimicrobial Resistance, Healthcare-Associated Infections, and Environmental Microbial Contamination. Healthcare (Basel) 2022; 10:healthcare10020242. [PMID: 35206857 PMCID: PMC8872406 DOI: 10.3390/healthcare10020242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 01/22/2022] [Accepted: 01/23/2022] [Indexed: 01/27/2023] Open
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