1
|
Hartner AM, Li X, Echeverria-Londono S, Roth J, Abbas K, Auzenbergs M, de Villiers MJ, Ferrari MJ, Fraser K, Fu H, Hallett T, Hinsley W, Jit M, Karachaliou A, Moore SM, Nayagam S, Papadopoulos T, Perkins TA, Portnoy A, Minh QT, Vynnycky E, Winter AK, Burrows H, Chen C, Clapham HE, Deshpande A, Hauryski S, Huber J, Jean K, Kim C, Kim JH, Koh J, Lopman BA, Pitzer VE, Tam Y, Lambach P, Sim SY, Woodruff K, Ferguson NM, Trotter CL, Gaythorpe KAM. Estimating the health effects of COVID-19-related immunisation disruptions in 112 countries during 2020-30: a modelling study. Lancet Glob Health 2024; 12:e563-e571. [PMID: 38485425 PMCID: PMC10951961 DOI: 10.1016/s2214-109x(23)00603-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 12/14/2023] [Accepted: 12/16/2023] [Indexed: 03/19/2024]
Abstract
BACKGROUND There have been declines in global immunisation coverage due to the COVID-19 pandemic. Recovery has begun but is geographically variable. This disruption has led to under-immunised cohorts and interrupted progress in reducing vaccine-preventable disease burden. There have, so far, been few studies of the effects of coverage disruption on vaccine effects. We aimed to quantify the effects of vaccine-coverage disruption on routine and campaign immunisation services, identify cohorts and regions that could particularly benefit from catch-up activities, and establish if losses in effect could be recovered. METHODS For this modelling study, we used modelling groups from the Vaccine Impact Modelling Consortium from 112 low-income and middle-income countries to estimate vaccine effect for 14 pathogens. One set of modelling estimates used vaccine-coverage data from 1937 to 2021 for a subset of vaccine-preventable, outbreak-prone or priority diseases (ie, measles, rubella, hepatitis B, human papillomavirus [HPV], meningitis A, and yellow fever) to examine mitigation measures, hereafter referred to as recovery runs. The second set of estimates were conducted with vaccine-coverage data from 1937 to 2020, used to calculate effect ratios (ie, the burden averted per dose) for all 14 included vaccines and diseases, hereafter referred to as full runs. Both runs were modelled from Jan 1, 2000, to Dec 31, 2100. Countries were included if they were in the Gavi, the Vaccine Alliance portfolio; had notable burden; or had notable strategic vaccination activities. These countries represented the majority of global vaccine-preventable disease burden. Vaccine coverage was informed by historical estimates from WHO-UNICEF Estimates of National Immunization Coverage and the immunisation repository of WHO for data up to and including 2021. From 2022 onwards, we estimated coverage on the basis of guidance about campaign frequency, non-linear assumptions about the recovery of routine immunisation to pre-disruption magnitude, and 2030 endpoints informed by the WHO Immunization Agenda 2030 aims and expert consultation. We examined three main scenarios: no disruption, baseline recovery, and baseline recovery and catch-up. FINDINGS We estimated that disruption to measles, rubella, HPV, hepatitis B, meningitis A, and yellow fever vaccination could lead to 49 119 additional deaths (95% credible interval [CrI] 17 248-134 941) during calendar years 2020-30, largely due to measles. For years of vaccination 2020-30 for all 14 pathogens, disruption could lead to a 2·66% (95% CrI 2·52-2·81) reduction in long-term effect from 37 378 194 deaths averted (34 450 249-40 241 202) to 36 410 559 deaths averted (33 515 397-39 241 799). We estimated that catch-up activities could avert 78·9% (40·4-151·4) of excess deaths between calendar years 2023 and 2030 (ie, 18 900 [7037-60 223] of 25 356 [9859-75 073]). INTERPRETATION Our results highlight the importance of the timing of catch-up activities, considering estimated burden to improve vaccine coverage in affected cohorts. We estimated that mitigation measures for measles and yellow fever were particularly effective at reducing excess burden in the short term. Additionally, the high long-term effect of HPV vaccine as an important cervical-cancer prevention tool warrants continued immunisation efforts after disruption. FUNDING The Vaccine Impact Modelling Consortium, funded by Gavi, the Vaccine Alliance and the Bill & Melinda Gates Foundation. TRANSLATIONS For the Arabic, Chinese, French, Portguese and Spanish translations of the abstract see Supplementary Materials section.
Collapse
Affiliation(s)
- Anna-Maria Hartner
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK; Centre for Artificial Intelligence in Public Health Research, Robert Koch Institute, Wildau, Germany
| | - Xiang Li
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Susy Echeverria-Londono
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Jeremy Roth
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Kaja Abbas
- London School of Hygiene & Tropical Medicine, London, UK; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | | | - Margaret J de Villiers
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Matthew J Ferrari
- Center for Infectious Disease Dynamics, Pennsylvania State University, Pennsylvania, PA, USA
| | - Keith Fraser
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Han Fu
- London School of Hygiene & Tropical Medicine, London, UK
| | - Timothy Hallett
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Wes Hinsley
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Mark Jit
- London School of Hygiene & Tropical Medicine, London, UK; School of Public Health, University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | - Sean M Moore
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Shevanthi Nayagam
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK; Section of Hepatology and Gastroenterology, Department of Metabolism, Digestion, and Reproduction, Imperial College London, London, UK
| | | | - T Alex Perkins
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Allison Portnoy
- Center for Health Decision Science, T H Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Quan Tran Minh
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | | | - Amy K Winter
- Department of Epidemiology and Biostatistics and Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA
| | - Holly Burrows
- School of Public Health, Yale University, New Haven, CT, USA
| | - Cynthia Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Hannah E Clapham
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Nuffield Department of Medicine, Oxford University, Oxford, UK
| | | | - Sarah Hauryski
- Center for Infectious Disease Dynamics, Pennsylvania State University, Pennsylvania, PA, USA
| | - John Huber
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA; School of Medicine, Washington University, St Louis, MO, USA
| | - Kevin Jean
- Laboratoire Modélisation, épidémiologie, et surveillance des risques sanitaires and Unit Cnam risques infectieux et émergents, Institut Pasteur, Conservatoire National des Arts et Metiers, Paris, France
| | - Chaelin Kim
- International Vaccine Institute, Seoul, South Korea
| | | | - Jemima Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | | | | | - Yvonne Tam
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Philipp Lambach
- Department of Immunization, Vaccines, and Biologicals, WHO, Geneva, Switzerland
| | - So Yoon Sim
- Department of Immunization, Vaccines, and Biologicals, WHO, Geneva, Switzerland
| | - Kim Woodruff
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Neil M Ferguson
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Caroline L Trotter
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK; Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Katy A M Gaythorpe
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK.
| |
Collapse
|
2
|
Smith DRM, Chervet S, Pinettes T, Shirreff G, Jijón S, Oodally A, Jean K, Opatowski L, Kernéis S, Temime L. How have mathematical models contributed to understanding the transmission and control of SARS-CoV-2 in healthcare settings? A systematic search and review. J Hosp Infect 2023; 141:132-141. [PMID: 37734676 DOI: 10.1016/j.jhin.2023.07.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/04/2023] [Indexed: 09/23/2023]
Abstract
Since the onset of the COVID-19 pandemic, mathematical models have been widely used to inform public health recommendations regarding COVID-19 control in healthcare settings. The objective of this study was to systematically review SARS-CoV-2 transmission models in healthcare settings, and to summarize their contributions to understanding nosocomial COVID-19. A systematic search and review of published articles indexed in PubMed was carried out. Modelling studies describing dynamic inter-individual transmission of SARS-CoV-2 in healthcare settings, published by mid-February 2022 were included. Models have mostly focused on acute-care and long-term-care facilities in high-income countries. Models have quantified outbreak risk, showing great variation across settings and pandemic periods. Regarding surveillance, routine testing rather than symptom-based was highlighted as essential for COVID-19 prevention due to high rates of silent transmission. Surveillance impacts depended critically on testing frequency, diagnostic sensitivity, and turn-around time. Healthcare re-organization also proved to have large epidemiological impacts: beyond obvious benefits of isolating cases and limiting inter-individual contact, more complex strategies (staggered staff scheduling, immune-based cohorting) reduced infection risk. Finally, vaccination impact, while highly effective for limiting COVID-19 burden, varied substantially depending on assumed mechanistic impacts on infection acquisition, symptom onset and transmission. Modelling results form an extensive evidence base that may inform control strategies for future waves of SARS-CoV-2 and other viral respiratory pathogens. We propose new avenues for future models of healthcare-associated outbreaks, with the aim of enhancing their efficiency and contributions to decision-making.
Collapse
Affiliation(s)
- D R M Smith
- Anti-infective Evasion and Pharmacoepidemiology Team, CESP, Université Paris-Saclay, UVSQ, INSERM U1018, Montigny-le-Bretonneux, France; Institut Pasteur, Université Paris-Cité, Epidemiology and Modelling of Antibiotic Evasion (EMAE), F-75015 Paris, France; Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire National des Arts et Métiers, F-75003 Paris, France
| | - S Chervet
- Anti-infective Evasion and Pharmacoepidemiology Team, CESP, Université Paris-Saclay, UVSQ, INSERM U1018, Montigny-le-Bretonneux, France; Institut Pasteur, Université Paris-Cité, Epidemiology and Modelling of Antibiotic Evasion (EMAE), F-75015 Paris, France; Université Paris-Cité, INSERM, IAME, F-75018, Paris, France
| | - T Pinettes
- Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire National des Arts et Métiers, F-75003 Paris, France; Unité PACRI, Institut Pasteur, Conservatoire National des Arts et Métiers, Paris, France
| | - G Shirreff
- Anti-infective Evasion and Pharmacoepidemiology Team, CESP, Université Paris-Saclay, UVSQ, INSERM U1018, Montigny-le-Bretonneux, France; Institut Pasteur, Université Paris-Cité, Epidemiology and Modelling of Antibiotic Evasion (EMAE), F-75015 Paris, France; Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire National des Arts et Métiers, F-75003 Paris, France
| | - S Jijón
- Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire National des Arts et Métiers, F-75003 Paris, France; Unité PACRI, Institut Pasteur, Conservatoire National des Arts et Métiers, Paris, France
| | - A Oodally
- Anti-infective Evasion and Pharmacoepidemiology Team, CESP, Université Paris-Saclay, UVSQ, INSERM U1018, Montigny-le-Bretonneux, France; Institut Pasteur, Université Paris-Cité, Epidemiology and Modelling of Antibiotic Evasion (EMAE), F-75015 Paris, France; Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire National des Arts et Métiers, F-75003 Paris, France
| | - K Jean
- Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire National des Arts et Métiers, F-75003 Paris, France; Unité PACRI, Institut Pasteur, Conservatoire National des Arts et Métiers, Paris, France
| | - L Opatowski
- Anti-infective Evasion and Pharmacoepidemiology Team, CESP, Université Paris-Saclay, UVSQ, INSERM U1018, Montigny-le-Bretonneux, France; Institut Pasteur, Université Paris-Cité, Epidemiology and Modelling of Antibiotic Evasion (EMAE), F-75015 Paris, France
| | - S Kernéis
- Université Paris-Cité, INSERM, IAME, F-75018, Paris, France; Equipe de Prévention du Risque Infectieux (EPRI), AP-HP, Hôpital Bichat, F-75018 Paris, France.
| | - L Temime
- Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire National des Arts et Métiers, F-75003 Paris, France; Unité PACRI, Institut Pasteur, Conservatoire National des Arts et Métiers, Paris, France
| |
Collapse
|
3
|
Bouziri H, Descatha A, Roquelaure Y, Jean K, Dab W. Analyse spatio-temporelles des troubles musculosquelettiques à partir du « Global Burden of Disease », 1990 à 2019. Rev Epidemiol Sante Publique 2022. [DOI: 10.1016/j.respe.2022.06.234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022] Open
|
4
|
Hamidouche M, Ante-Testard PA, Baggaley R, Temime L, Jean K. Monitoring socioeconomic inequalities across HIV knowledge, attitudes, behaviours and prevention in 18 sub-Saharan African countries. AIDS 2022; 36:871-879. [PMID: 35190511 DOI: 10.1097/qad.0000000000003191] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Socioeconomic inequalities in HIV prevention services coverage constitute important barriers to global prevention targets, especially in sub-Saharan Africa (SSA). We aimed at monitoring these inequalities from population-based survey data in 18 SSA countries between 2010 and 2018. METHODS We defined eight HIV indicators aimed at capturing uptake of HIV prevention services among adult participants. Country-specific wealth-related inequalities were measured using the Relative and Slope Index of Inequalities (RII and SII, respectively) and then pooled using random-effects meta-analyses. We compared inequalities between African regions using the Wilcoxon rank-sum test. RESULTS The sample consisted of 358 591 participants (66% women). Despite variability between countries and indicators, the meta-analysis revealed significant levels of relative and absolute inequalities in six out of eight indicators: HIV-related knowledge, positive attitudes toward people with HIV (PWH), condom use at last sexual intercourse, participation to prevention of mother-to-child transmission programs, medical male circumcision and recent HIV testing. The largest inequalities were reported in condom use, with condom use reported five times more among the richest versus the poorest [RII = 5.02, 95% confidence interval (CI) 2.79-9.05] and in positive attitudes toward PWH, with a 32-percentage point difference between the richest and poorest (SII = 0.32, 95% CI 0.26-0.39). Conversely, no significant inequalities were observed in multipartnership and HIV seropositivity among youth. Overall, inequalities tended to be larger in West and Central vs. East and Southern African countries. CONCLUSION Despite efforts to scale-up HIV-prevention programs, socioeconomic inequalities remain substantial over the continuum of HIV primary and secondary prevention in several SSA countries.
Collapse
Affiliation(s)
- Mohamed Hamidouche
- Laboratoire MESuRS, Conservatoire national des Arts et Metiers
- Unité PACRI, Institut Pasteur, Conservatoire national des Arts et Métiers, Paris, France
| | - Pearl Anne Ante-Testard
- Laboratoire MESuRS, Conservatoire national des Arts et Metiers
- Unité PACRI, Institut Pasteur, Conservatoire national des Arts et Métiers, Paris, France
| | - Rachel Baggaley
- World Health Organization, Global HIV, Hepatitis and STI Programmes, Geneva, Switzerland
| | - Laura Temime
- Laboratoire MESuRS, Conservatoire national des Arts et Metiers
- Unité PACRI, Institut Pasteur, Conservatoire national des Arts et Métiers, Paris, France
| | - Kevin Jean
- Laboratoire MESuRS, Conservatoire national des Arts et Metiers
- Unité PACRI, Institut Pasteur, Conservatoire national des Arts et Métiers, Paris, France
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| |
Collapse
|
5
|
Sapena V, Enea M, Torres F, Celsa C, Rios J, Rizzo GEM, Nahon P, Mariño Z, Tateishi R, Minami T, Sangiovanni A, Forns X, Toyoda H, Brillanti S, Conti F, Degasperi E, Yu ML, Tsai PC, Jean K, El Kassas M, Shousha HI, Omar A, Zavaglia C, Nagata H, Nakagawa M, Asahina Y, Singal AG, Murphy C, Kohla M, Masetti C, Dufour JF, Merchante N, Cavalletto L, Chemello LL, Pol S, Crespo J, Calleja JL, Villani R, Serviddio G, Zanetto A, Shalaby S, Russo FP, Bielen R, Trevisani F, Cammà C, Bruix J, Cabibbo G, Reig M. Hepatocellular carcinoma recurrence after direct-acting antiviral therapy: an individual patient data meta-analysis. Gut 2022; 71:593-604. [PMID: 33741640 DOI: 10.1136/gutjnl-2020-323663] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/12/2021] [Accepted: 01/29/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The benefit of direct-acting antivirals (DAAs) against HCV following successful treatment of hepatocellular carcinoma (HCC) remains controversial. This meta-analysis of individual patient data assessed HCC recurrence risk following DAA administration. DESIGN We pooled the data of 977 consecutive patients from 21 studies of HCV-related cirrhosis and HCC, who achieved complete radiological response after surgical/locoregional treatments and received DAAs (DAA group). Recurrence or death risk was expressed as HCC recurrence or death per 100 person-years (100PY). Propensity score-matched patients from the ITA.LI.CA. cohort (n=328) served as DAA-unexposed controls (no-DAA group). Risk factors for HCC recurrence were identified using random-effects Poisson. RESULTS Recurrence rate and death risk per 100PY in DAA-treated patients were 20 (95% CI 13.9 to 29.8, I2=74.6%) and 5.7 (2.5 to 15.3, I2=54.3), respectively. Predictive factors for recurrence were alpha-fetoprotein logarithm (relative risk (RR)=1.11, 95% CI 1.03 to 1.19; p=0.01, per 1 log of ng/mL), HCC recurrence history pre-DAA initiation (RR=1.11, 95% CI 1.07 to 1.16; p<0.001), performance status (2 vs 0, RR=4.35, 95% CI 1.54 to 11.11; 2 vs 1, RR=3.7, 95% CI 1.3 to 11.11; p=0.01) and tumour burden pre-HCC treatment (multifocal vs solitary nodule, RR=1.75, 95% CI 1.25 to 2.43; p<0.001). No significant difference was observed in RR between the DAA-exposed and DAA-unexposed groups in propensity score-matched patients (RR=0.64, 95% CI 0.37 to 1.1; p=0.1). CONCLUSION Effects of DAA exposure on HCC recurrence risk remain inconclusive. Active clinical and radiological follow-up of patients with HCC after HCV eradication with DAA is justified.
Collapse
Affiliation(s)
- Victor Sapena
- Barcelona Clinic Liver Cancer (BCLC) Group, Liver Unit, Hospital Clínic de Barcelona, IDIBAPS, Universidad de Barcelona, CIBEREHD, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Marco Enea
- Department of Health Promotion, Mother & Child Care, Internal Medicine & Medical Specialties, PROMISE, Gastroenterology & Hepatology Unit, University of Palermo, Palermo, Sicilia, Italy
| | - Ferran Torres
- Biostatistics and Data Management Core Facility, IDIBAPS, Hospital Clinic Barcelona, Barcelona, Spain.,Biostatistics Unit, Faculty of Medicine, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Ciro Celsa
- Department of Health Promotion, Mother & Child Care, Internal Medicine & Medical Specialties, PROMISE, Gastroenterology & Hepatology Unit, University of Palermo, Palermo, Sicilia, Italy.,Department of Surgical, Oncological and Oral Sciences (Di.Chir.On.S.), University of Palermo, Palermo, Sicilia, Italy
| | - Jose Rios
- Biostatistics and Data Management Core Facility, IDIBAPS, Hospital Clinic Barcelona, Barcelona, Spain.,Biostatistics Unit, Faculty of Medicine, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Giacomo Emanuele Maria Rizzo
- Department of Health Promotion, Mother & Child Care, Internal Medicine & Medical Specialties, PROMISE, Gastroenterology & Hepatology Unit, University of Palermo, Palermo, Sicilia, Italy
| | - Pierre Nahon
- AP-HP, Hôpital Jean Verdier, Service d'Hépatologie, Bondy; Université Paris 13, Sorbonne Paris Cité, "Equipe labellisée Ligue Contre le Cancer", F-93206 Saint-Denis; Inserm, UMR-1162, "Génomique fonctionnelle des tumeurs solides", F-75000, Bondy, France
| | - Zoe Mariño
- Liver Unit, Hospital Clinic de Barcelona, IDIBAPS, University of Barcelona, CIBEREHD, Barcelona, Spain
| | - Ryosuke Tateishi
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tatsuya Minami
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Angelo Sangiovanni
- Division of Gastroenterology and Hepatology, Fondazione IRCCS Ca' Granda Maggiore Hospital, University of Milan, Milan, Italy.,CRC "A.M. and A. Migliavacca" Center for Liver Disease, Milan, Italy
| | - Xavier Forns
- Liver Unit, Hospital Clinic de Barcelona, IDIBAPS, University of Barcelona, CIBEREHD, Barcelona, Spain
| | - Hidenori Toyoda
- Gastroenterology, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Stefano Brillanti
- Department of Medical and Surgical Sciences (DIMEC), Research Centre for the Study of Hepatitis, University of Bologna, Bologna, Italy
| | - Fabio Conti
- Department of Medical and Surgical Sciences (DIMEC), Research Centre for the Study of Hepatitis, University of Bologna, Bologna, Italy
| | - Elisabetta Degasperi
- Division of Gastroenterology and Hepatology, Fondazione IRCCS Ca' Granda Maggiore Hospital, University of Milan, Milan, Italy.,CRC "A.M. and A. Migliavacca" Center for Liver Disease, Milan, Italy
| | - Ming-Lung Yu
- Hepatobiliary Division, Department of Internal Medicine and Hepatitis, Center Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Faculty of Internal Medicine and Hepatitis Research Center, School of Medicine, College of Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Pei-Chien Tsai
- Hepatobiliary Division, Department of Internal Medicine and Hepatitis, Center Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Kevin Jean
- Laboratoire MESuRS (EA 4628), Conservatoire National Des Arts et Métiers, Paris, France.,Unité PACRI, Institut Pasteur, Conservatoire National des Arts et Métiers, Paris, France
| | - Mohamed El Kassas
- Endemic Medicine, Faculty of Medicine, Helwan University, Cairo, Egypt
| | - Hend Ibrahim Shousha
- Endemic Medicine and Hepato-Gastroenterology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Ashraf Omar
- Endemic Medicine and Hepato-Gastroenterology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Claudio Zavaglia
- Department of Hepatology and Gastroenterology, Liver Unit, Niguarda Hospital, Milano, Lombardia, Italy
| | - Hiroko Nagata
- Gastroenterology and Hepatology, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
| | - Mina Nakagawa
- Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan.,Institute of Education, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
| | - Yasuhiro Asahina
- Department of Gastroenterology and Hepatology, Liver Disease Control, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
| | - Amit G Singal
- Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Caitlin Murphy
- Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Mohamed Kohla
- Hepatology, National Liver Institute, Shebin El-Kom, Egypt
| | - Chiara Masetti
- Liver and Transplant Unit, Policlinico Tor Vergata, Rome, Italy
| | - Jean-François Dufour
- Hepatology, Department of Clinical Research, University Clinic for Visceral Surgery and Medicine Inselspital, Bern, Switzerland.,Hepatology, Department of Clinical Research, University of Bern, Bern, Switzerland
| | - Nicolas Merchante
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Seville, Spain
| | - Luisa Cavalletto
- Department of Medicine-DIMED, Padua University, University Hospital, Clinica Medica 5, Refering Center for Liver Diseases, Padova, Italy
| | - Liliana Lc Chemello
- Department of Medicine-DIMED, Padua University, University Hospital, Clinica Medica 5, Refering Center for Liver Diseases, Padova, Italy
| | - Stanislas Pol
- l'Agence de recherche ANRS (France REcherche Nord&Sud Sida-HIV Hépatites), Paris, France
| | - Javier Crespo
- Gastroenterology and Hepatology Service, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.,Facultad de Medicina, Universidad de Cantabria, Santander, Cantabria, Spain
| | - Jose Luis Calleja
- Gastroenterology and Hepatology, IDIPHIM, Hospital Universitario Puerta de Hierro Majadahonda, Majadahonda, Spain.,(CIBEREHD), Instituto de Salud Carlos III, Centro de Investigacion Biomedica en Red Enfermedades Hepaticas y Digestivas, Madrid, Spain
| | - Rosanna Villani
- Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Gaetano Serviddio
- Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Alberto Zanetto
- Gastroenterology/Multivisceral Transplant Unit, Department of Surgery, Oncology and Gastroenterology Unit, University of Padova, Padova, Italy
| | - Sarah Shalaby
- Gastroenterology/Multivisceral Transplant Unit, Department of Surgery, Oncology and Gastroenterology Unit, University of Padova, Padova, Italy
| | - Francesco Paolo Russo
- Gastroenterology/Multivisceral Transplant Unit, Department of Surgery, Oncology and Gastroenterology Unit, University of Padova, Padova, Italy
| | - Rob Bielen
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Limburg, Belgium.,Department of Gastro-Enterology and Hepatology, Ziekenhuis Oost-Limburg, Genk, Limburg, Belgium
| | - Franco Trevisani
- Department of Medical and Surgical Sciences, Semeiotics Unit, Alma Mater Studiorum-University of Bologna, Bologna, Italy
| | - Calogero Cammà
- Department of Health Promotion, Mother & Child Care, Internal Medicine & Medical Specialties, PROMISE, Gastroenterology & Hepatology Unit, University of Palermo, Palermo, Sicilia, Italy
| | - Jordi Bruix
- Barcelona Clinic Liver Cancer (BCLC) Group, Liver Unit, Hospital Clínic de Barcelona, IDIBAPS, Universidad de Barcelona, CIBEREHD, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Giuseppe Cabibbo
- Department of Health Promotion, Mother & Child Care, Internal Medicine & Medical Specialties, PROMISE, Gastroenterology & Hepatology Unit, University of Palermo, Palermo, Sicilia, Italy
| | - Maria Reig
- Barcelona Clinic Liver Cancer (BCLC) Group, Liver Unit, Hospital Clínic de Barcelona, IDIBAPS, Universidad de Barcelona, CIBEREHD, Hospital Clinic de Barcelona, Barcelona, Spain
| |
Collapse
|
6
|
Hocine M, Perozziello A, Jean K, Godon AS, Temime L, Dab W. Mesurer l’implication en prévention des entreprises : élaboration d’un cadre conceptuel. ARCH MAL PROF ENVIRO 2021. [DOI: 10.1016/j.admp.2021.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
7
|
Toor J, Echeverria-Londono S, Li X, Abbas K, Carter ED, Clapham HE, Clark A, de Villiers MJ, Eilertson K, Ferrari M, Gamkrelidze I, Hallett TB, Hinsley WR, Hogan D, Huber JH, Jackson ML, Jean K, Jit M, Karachaliou A, Klepac P, Kraay A, Lessler J, Li X, Lopman BA, Mengistu T, Metcalf CJE, Moore SM, Nayagam S, Papadopoulos T, Perkins TA, Portnoy A, Razavi H, Razavi-Shearer D, Resch S, Sanderson C, Sweet S, Tam Y, Tanvir H, Tran Minh Q, Trotter CL, Truelove SA, Vynnycky E, Walker N, Winter A, Woodruff K, Ferguson NM, Gaythorpe KAM. Lives saved with vaccination for 10 pathogens across 112 countries in a pre-COVID-19 world. eLife 2021; 10:e67635. [PMID: 34253291 PMCID: PMC8277373 DOI: 10.7554/elife.67635] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 05/26/2021] [Indexed: 12/12/2022] Open
Abstract
Background Vaccination is one of the most effective public health interventions. We investigate the impact of vaccination activities for Haemophilus influenzae type b, hepatitis B, human papillomavirus, Japanese encephalitis, measles, Neisseria meningitidis serogroup A, rotavirus, rubella, Streptococcus pneumoniae, and yellow fever over the years 2000-2030 across 112 countries. Methods Twenty-one mathematical models estimated disease burden using standardised demographic and immunisation data. Impact was attributed to the year of vaccination through vaccine-activity-stratified impact ratios. Results We estimate 97 (95%CrI[80, 120]) million deaths would be averted due to vaccination activities over 2000-2030, with 50 (95%CrI[41, 62]) million deaths averted by activities between 2000 and 2019. For children under-5 born between 2000 and 2030, we estimate 52 (95%CrI[41, 69]) million more deaths would occur over their lifetimes without vaccination against these diseases. Conclusions This study represents the largest assessment of vaccine impact before COVID-19-related disruptions and provides motivation for sustaining and improving global vaccination coverage in the future. Funding VIMC is jointly funded by Gavi, the Vaccine Alliance, and the Bill and Melinda Gates Foundation (BMGF) (BMGF grant number: OPP1157270 / INV-009125). Funding from Gavi is channelled via VIMC to the Consortium's modelling groups (VIMC-funded institutions represented in this paper: Imperial College London, London School of Hygiene and Tropical Medicine, Oxford University Clinical Research Unit, Public Health England, Johns Hopkins University, The Pennsylvania State University, Center for Disease Analysis Foundation, Kaiser Permanente Washington, University of Cambridge, University of Notre Dame, Harvard University, Conservatoire National des Arts et Métiers, Emory University, National University of Singapore). Funding from BMGF was used for salaries of the Consortium secretariat (authors represented here: TBH, MJ, XL, SE-L, JT, KW, NMF, KAMG); and channelled via VIMC for travel and subsistence costs of all Consortium members (all authors). We also acknowledge funding from the UK Medical Research Council and Department for International Development, which supported aspects of VIMC's work (MRC grant number: MR/R015600/1).JHH acknowledges funding from National Science Foundation Graduate Research Fellowship; Richard and Peggy Notebaert Premier Fellowship from the University of Notre Dame. BAL acknowledges funding from NIH/NIGMS (grant number R01 GM124280) and NIH/NIAID (grant number R01 AI112970). The Lives Saved Tool (LiST) receives funding support from the Bill and Melinda Gates Foundation.This paper was compiled by all coauthors, including two coauthors from Gavi. Other funders had no role in study design, data collection, data analysis, data interpretation, or writing of the report. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.
Collapse
Affiliation(s)
- Jaspreet Toor
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Susy Echeverria-Londono
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Xiang Li
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Kaja Abbas
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Emily D Carter
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Hannah E Clapham
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Oxford University Clinical Research Unit, Vietnam; Nuffield Department of Medicine, Oxford UniversityOxfordUnited Kingdom
| | - Andrew Clark
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Margaret J de Villiers
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | | | | | | | - Timothy B Hallett
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Wes R Hinsley
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | | | - John H Huber
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | | | - Kevin Jean
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
- Laboratoire MESuRS and Unite PACRI, Institut Pasteur, Conservatoire National des Arts et MetiersParisFrance
| | - Mark Jit
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
- University of Hong Kong, Hong Kong Special Administrative RegionHong KongChina
| | | | - Petra Klepac
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Alicia Kraay
- Rollins School of Public Health, Emory UniversityAtlantaUnited States
| | - Justin Lessler
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Xi Li
- IndependentAtlantaUnited States
| | - Benjamin A Lopman
- Rollins School of Public Health, Emory UniversityAtlantaUnited States
| | | | | | - Sean M Moore
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | - Shevanthi Nayagam
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
- Section of Hepatology and Gastroenterology, Department of Metabolism, Digestion and Reproduction, Imperial College LondonLondonUnited Kingdom
| | - Timos Papadopoulos
- Public Health EnglandLondonUnited Kingdom
- University of SouthamptonSouthamptonUnited Kingdom
| | - T Alex Perkins
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | - Allison Portnoy
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard UniversityCambridgeUnited States
| | - Homie Razavi
- Center for Disease Analysis FoundationLafayetteUnited States
| | | | - Stephen Resch
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard UniversityCambridgeUnited States
| | - Colin Sanderson
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Steven Sweet
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard UniversityCambridgeUnited States
| | - Yvonne Tam
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Hira Tanvir
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Quan Tran Minh
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | | | - Shaun A Truelove
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | | | - Neff Walker
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Amy Winter
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Kim Woodruff
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Neil M Ferguson
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Katy AM Gaythorpe
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| |
Collapse
|
8
|
Duchemin T, Bastard J, Ante-Testard PA, Assab R, Daouda OS, Duval A, Garsi JP, Lounissi R, Nekkab N, Neynaud H, Smith DRM, Dab W, Jean K, Temime L, Hocine MN. Monitoring sick leave data for early detection of influenza outbreaks. BMC Infect Dis 2021; 21:52. [PMID: 33430793 PMCID: PMC7799403 DOI: 10.1186/s12879-020-05754-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 12/28/2020] [Indexed: 12/03/2022] Open
Abstract
Background Workplace absenteeism increases significantly during influenza epidemics. Sick leave records may facilitate more timely detection of influenza outbreaks, as trends in increased sick leave may precede alerts issued by sentinel surveillance systems by days or weeks. Sick leave data have not been comprehensively evaluated in comparison to traditional surveillance methods. The aim of this paper is to study the performance and the feasibility of using a detection system based on sick leave data to detect influenza outbreaks. Methods Sick leave records were extracted from private French health insurance data, covering on average 209,932 companies per year across a wide range of sizes and sectors. We used linear regression to estimate the weekly number of new sick leave spells between 2016 and 2017 in 12 French regions, adjusting for trend, seasonality and worker leaves on historical data from 2010 to 2015. Outbreaks were detected using a 95%-prediction interval. This method was compared to results from the French Sentinelles network, a gold-standard primary care surveillance system currently in place. Results Using sick leave data, we detected 92% of reported influenza outbreaks between 2016 and 2017, on average 5.88 weeks prior to outbreak peaks. Compared to the existing Sentinelles model, our method had high sensitivity (89%) and positive predictive value (86%), and detected outbreaks on average 2.5 weeks earlier. Conclusion Sick leave surveillance could be a sensitive, specific and timely tool for detection of influenza outbreaks. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-020-05754-5.
Collapse
Affiliation(s)
- Tom Duchemin
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France. .,Malakoff Humanis, 21 Rue Laffitte, 75009, Paris, France.
| | - Jonathan Bastard
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France.,Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), Paris, France.,PACRI unit, Conservatoire National des Arts et Métiers, Institut Pasteur, Paris, France.,Université Paris-Saclay, UVSQ, Inserm, CESP, Anti-infective evasion and pharmacoepidemiology team, Montigny-Le-Bretonneux, France
| | - Pearl Anne Ante-Testard
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France.,PACRI unit, Conservatoire National des Arts et Métiers, Institut Pasteur, Paris, France
| | - Rania Assab
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France
| | - Oumou Salama Daouda
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France
| | - Audrey Duval
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France.,Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), Paris, France.,Université Paris-Saclay, UVSQ, Inserm, CESP, Anti-infective evasion and pharmacoepidemiology team, Montigny-Le-Bretonneux, France.,Biodiversity and Epidemiology of Bacterial Pathogens, Institut Pasteur, Paris, France
| | - Jérôme-Philippe Garsi
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France
| | | | - Narimane Nekkab
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France.,Malaria: Parasites and Hosts, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France
| | - Helene Neynaud
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France
| | - David R M Smith
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France.,Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), Paris, France.,Université Paris-Saclay, UVSQ, Inserm, CESP, Anti-infective evasion and pharmacoepidemiology team, Montigny-Le-Bretonneux, France
| | - William Dab
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France
| | - Kevin Jean
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France.,PACRI unit, Conservatoire National des Arts et Métiers, Institut Pasteur, Paris, France
| | - Laura Temime
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France.,PACRI unit, Conservatoire National des Arts et Métiers, Institut Pasteur, Paris, France
| | - Mounia N Hocine
- MESuRS laboratory, Conservatoire National des Arts et Métiers, 292 Rue Saint-Martin, 75003, Paris, France
| |
Collapse
|
9
|
Bouziri H, Smith DRM, Descatha A, Dab W, Jean K. Working from home in the time of COVID-19: how to best preserve occupational health? Occup Environ Med 2020; 77:509-510. [PMID: 32354748 PMCID: PMC7231547 DOI: 10.1136/oemed-2020-106599] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 04/21/2020] [Accepted: 04/22/2020] [Indexed: 11/03/2022]
Affiliation(s)
- Hanifa Bouziri
- Laboratoire MESuRS, Conservatoire national des Arts et Métiers, Paris, France
| | - David R M Smith
- Laboratoire MESuRS, Conservatoire national des Arts et Métiers, Paris, France.,Laboratoire Épidémiologie et modélisation de l'Échappement aux Antibiotiques, Institut Pasteur, Paris, France
| | - Alexis Descatha
- Occupational Health Unit-UMS 011 U1168, Université de Versailles St-Quentin-Inserm APHP, Paris, France
| | - William Dab
- Laboratoire MESuRS, Conservatoire national des Arts et Métiers, Paris, France
| | - Kevin Jean
- Laboratoire MESuRS, Conservatoire national des Arts et Métiers, Paris, France
| |
Collapse
|
10
|
Jean K, Chummar S, Miller L. C-04 Cognitive Status, Tau levels, and Depression in Older Adults. Arch Clin Neuropsychol 2019. [DOI: 10.1093/arclin/acz034.166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Objective
Worsening cognitive status has been related to depression in older adults. The purpose of this study was to examine the relation between cognitive status and depression and whether this relation was dependent upon tau levels, a biomarker for brain pathology related to Alzheimer’s disease (AD) and other dementias.
Method
This study consisted of 507 older adults with a mean age of 74. Participants were 40.9% female and 93.9% Caucasian. Neuropsychological assessments, collateral report, and clinician ratings were used to classify each participant by their cognitive status (i.e., cognitively normal (CN), early mild cognitive impairment (MCI), late MCI, or AD). Depression was based on the total score of the Geriatric Depression Scale (GDS). A hierarchical multiple regression was used to analyze the amount of variance explained in depression scores, controlling for age.
Results
There was a significant relation between cognitive status and GDS, with cognitive status explaining 2.8% of the variance (R-squared = .028, p < .001). Tau explained .6% of the variance in depression scores above and beyond what was explained by cognitive status and age (p = .089). The interaction between cognitive status and tau explained .4% of the variance in depression scores, ΔR-squared = .004, p = .160.
Conclusions
While this suggests cognitive status and depression may not be dependent upon tau levels in this sample, further research should be done to determine whether other sensitive measures of brain pathology, such as the ratio between phosphorylated tau and total tau, may be relevant in the prediction and diagnosis of depression in individuals with varying levels of cognitive status.
Collapse
|
11
|
Tan B, Caillon P, You S, Adouard C, Pou P, Pou D, Bailly F, Jean K, Zoulim F. Screening of viral hepatitis and HIV among migrants from Southeast Asia. Rev Epidemiol Sante Publique 2018. [DOI: 10.1016/j.respe.2018.05.330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
|
12
|
Jean K, Hamlet A, Dorigatti I, Gaythorpe K, Imai N, Cibrelus L, Benzler J, Garske T. Responding to yellow fever outbreaks in West and Central Africa: Rapid prioritization assessment for the pre-emptive vaccination campaigns. Rev Epidemiol Sante Publique 2018. [DOI: 10.1016/j.respe.2018.05.423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
|
13
|
El Kassas M, Funk AL, Salaheldin M, Shimakawa Y, Eltabbakh M, Jean K, El Tahan A, Sweedy AT, Afify S, Youssef NF, Esmat G, Fontanet A. Increased recurrence rates of hepatocellular carcinoma after DAA therapy in a hepatitis C-infected Egyptian cohort: A comparative analysis. J Viral Hepat 2018; 25:623-630. [PMID: 29274197 DOI: 10.1111/jvh.12854] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 10/09/2017] [Indexed: 12/13/2022]
Abstract
In Egypt, hepatocellular carcinoma (HCC) is the most common form of cancer and direct-acting antivirals (DAA) are administered on a large scale to patients with chronic HCV infection to reduce the risk. In this unique setting, we aimed to determine the association of DAA exposure with early-phase HCC recurrence in patients with a history of HCV-related liver cancer. This was a prospective cohort study of an HCV-infected population from one Egyptian specialized HCC management centre starting from the time of successful HCC intervention. The incidence rates of HCC recurrence between DAA-exposed and nonexposed patients were compared, starting from date of HCC complete radiological response and censoring after 2 years. DAA exposure was treated as time varying. Two Poisson regressions models were used to control for potential differences in the exposed and nonexposed group; multivariable adjustment and balancing using inverse probability of treatment weighting (IPTW). We included 116 patients: 53 treated with DAAs and 63 not treated with DAAs. There was 37.7% and 25.4% recurrence in each group after a median of 16.0 and 23.0 months of follow-up, respectively. Poisson regression using IPTW demonstrated an association between DAAs and HCC recurrence with an incidence rate ratio of 3.83 (95% CI: 2.02-7.25), which was similar in the multivariable-adjusted model and various sensitivity analyses. These results add important evidence towards the possible role of DAAs in HCC recurrence and stress the need for further mechanistic studies and clinical trials to accurately confirm this role and to identify patient characteristics that may be associated with this event.
Collapse
Affiliation(s)
- M El Kassas
- Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt
| | - A L Funk
- Emerging Disease Epidemiology Unit, Institut Pasteur, Paris, France
| | - M Salaheldin
- Tropical Medicine Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Y Shimakawa
- Emerging Disease Epidemiology Unit, Institut Pasteur, Paris, France
| | - M Eltabbakh
- Tropical Medicine Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - K Jean
- Laboratoire MESuRS (EA 4628), Conservatoire National Des Arts et Métiers, Paris, France.,Unité PACRI, Institut Pasteur, Conservatoire National des Arts et Métiers, Paris, France
| | - A El Tahan
- New Cairo Viral Hepatitis Treatment Unit, Cairo, Egypt
| | - A T Sweedy
- New Cairo Viral Hepatitis Treatment Unit, Cairo, Egypt
| | - S Afify
- National Hepatology and Tropical Medicine Research Institute, Cairo, Egypt
| | - N F Youssef
- Medical Surgical Nursing Department, Faculty of Nursing, Cairo University, Cairo, Egypt
| | - G Esmat
- Endemic Medicine and Hepato-Gastroenterology Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - A Fontanet
- Emerging Disease Epidemiology Unit, Institut Pasteur, Paris, France.,Unité PACRI, Institut Pasteur, Conservatoire National des Arts et Métiers, Paris, France
| |
Collapse
|
14
|
Jean K, Lindbergh C, Miller L. Inclusion and Diversity-2Education Level Differentially Buffers Cognitive Decline in Older Adults Based on Race. Arch Clin Neuropsychol 2016. [DOI: 10.1093/arclin/acw042.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
15
|
Jean K, Gabillard D, Moh R, Desgrées-Du-Loû A, Anglaret X, Dray-Spira R. Traitement antirétroviral précoce et transmission du VIH-1 – estimations à partir de l’essai Temprano, Abidjan, Côte d’Ivoire. Rev Epidemiol Sante Publique 2013. [DOI: 10.1016/j.respe.2013.07.400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
|
16
|
Jean K, Bernatchez G, Klein H, Garneau L, Sauvé R, Parent L. Role of aspartate residues in Ca(2+) affinity and permeation of the distal ECaC1. Am J Physiol Cell Physiol 2002; 282:C665-72. [PMID: 11880255 DOI: 10.1152/ajpcell.00443.2001] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The Ca(2+) affinity and permeation of the epithelial Ca(2+) channel (ECaC1) were investigated after expression in Xenopus oocytes. ECaC1 displayed anomalous mole-fraction effects. Extracellular Ca(2+) and Mg(2+) reversibly inhibited ECaC1 whole cell Li(+) currents: IC(50) = 2.2 +/- 0.4 microM (n = 9) and 235 +/- 35 microM (n = 10), respectively. These values compare well with the Ca(2+) affinity of the L-type voltage-gated Ca(2+) (Ca(V)1.2) channel measured under the same conditions, suggesting that high-affinity Ca(2+) binding is a well-conserved feature of epithelial and voltage-gated Ca(2+) channels. Neutralization of D550 and E535 in the pore region had no significant effect on Ca(2+) and Mg(2+) affinities. In contrast, neutralization of D542 significantly decreased Ca(2+) affinity (IC(50) = 1.1 +/- 0.2 mM, n = 6) and Mg(2+) affinity (IC(50) > 25 +/- 3 mM, n = 4). Despite a 1,000-fold decrease in Ca(2+) affinity in D542N, Ca(2+) permeation properties and the Ca(2+)-to-Ba(2+) conductance ratio remained comparable to values for wild-type ECaC1. Together, our observations suggest that D542 plays a critical role in Ca(2+) affinity but not in Ca(2+) permeation in ECaC1.
Collapse
Affiliation(s)
- K Jean
- Groupe de Recherche en Transport Membranaire, Département de Physiologie, Université de Montréal, Downtown Station, Montreal, Quebec, Canada H3C 3J7
| | | | | | | | | | | |
Collapse
|
17
|
Ladouceur R, Rhéaume J, Freeston MH, Aublet F, Jean K, Lachance S, Langlois F, de Pokomandy-Morin K. Experimental manipulations of responsibility: an analogue test for models of obsessive-compulsive disorder. Behav Res Ther 1995; 33:937-46. [PMID: 7487853 DOI: 10.1016/0005-7967(95)00024-r] [Citation(s) in RCA: 101] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Several authors attribute excessive responsibility a predominant role in Obsessive-Compulsive Disorder (OCD) [Salkovskis, P. M. (1985) Behaviour Research and Therapy, 23, 571-583; Rachman, S. (1993) Behaviour Research and Therapy, 31, 149-154; van Oppen, P. & Arntz, A. (1994) Behaviour Research and Therapy, 32, 79-87]. The present studies aimed at demonstrating the link between different levels of perceived responsibility and checking behaviors by experimentally manipulating responsibility in non-clinical Ss. In the first study, a sound recognition task was used to compare checking behaviors in Ss with high (HR) and low (LR) perceived responsibility. Only one variable was significantly different, Ss from the HR group reporting more anxiety during the task than Ss from the LR group. Results did not support a link between responsibility and checking behavior. In a second study HR and LR Ss were compared on a manual classification task. Subjects from the HR group hesitated and checked more, and reported more preoccupation with errors and anxiety during the task than Ss from the LR group. Since perceived severity of the outcome was the most variable affected by the manipulation, the implications for current models of OCD are discussed and an alternative explanation is attempted. Finally, clinical implications are examined and suggestions are made for future directions of research.
Collapse
|