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Musumeci S, Kruse A, Chappuis F, Ostergaard Jensen T, Alcoba G. Neglected etiologies of prolonged febrile illnesses in tropical and subtropical regions: A systematic review. PLoS Negl Trop Dis 2024; 18:e0011978. [PMID: 38905305 PMCID: PMC11221637 DOI: 10.1371/journal.pntd.0011978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 07/03/2024] [Accepted: 06/04/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND Febrile illnesses that persist despite initial treatment are common clinical challenges in (sub)tropical low-resource settings. Our aim is to review infectious etiologies of "prolonged fevers" (persistent febrile illnesses, PFI) and to quantify relative contributions of selected neglected target diseases with limited diagnostic options, often overlooked, causing inadequate antibiotic prescriptions, or requiring prolonged and potentially toxic treatments. METHODS We performed a systematic review of articles addressing the infectious etiologies of PFI in adults and children in sub-/tropical low- and middle-income countries (LMICs) using the PRISMA guidelines. A list of target diseases, including neglected parasites and zoonotic bacteria (e.g., Leishmania and Brucella), were identified by infectious diseases and tropical medicine specialists and prioritized in the search. Malaria and tuberculosis (TB) were not included as target diseases due to well-established epidemiology and diagnostic options. Four co-investigators independently extracted data from the identified articles while assessing for risk of bias. RESULTS 196 articles from 52 countries were included, 117 from Africa (33 countries), 71 from Asia (16 countries), and 8 from Central and -South America (3 countries). Target diseases were reported as the cause of PFI in almost half of the articles, most frequently rickettsioses (including scrub typhus), relapsing fever borreliosis (RF-borreliosis), brucellosis, enteric fever, leptospirosis, Q fever and leishmaniasis. Among those, RF-borreliosis was by far the most frequently reported disease in Africa, particularly in Eastern Africa. Rickettsioses (including scrub typhus) were often described in both Africa and Asia. Leishmaniasis, toxoplasmosis and amoebiasis were the most frequent parasitic etiologies. Non-target diseases and non-tropical organisms (Streptococcus pneumoniae, Escherichia coli, and non-typhoidal Salmonella spp) were documented in a fifth of articles. CONCLUSIONS Clinicians faced with PFI in sub-/tropical LMICs should consider a wide differential diagnosis including enteric fever and zoonotic bacterial diseases (e.g., rickettsiosis, RF-borreliosis and brucellosis), or parasite infections (e.g., leishmaniasis) depending on geography and syndromes. In the absence of adequate diagnostic capacity, a trial of antibiotics targeting relevant intra-cellular bacteria, such as doxycycline or azithromycin, may be considered.
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Affiliation(s)
- Stefano Musumeci
- Division of Infectious Diseases, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Alexandra Kruse
- Médecins Sans Frontières (MSF) / Doctors Without Borders, Brussels, Belgium
- Department for Clinical Medicine, Copenhagen University, Copenhagen, Denmark
| | - François Chappuis
- Division of Tropical and Humanitarian medicine, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Tomas Ostergaard Jensen
- Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Médecins Sans Frontières (MSF) / Doctors Without Borders, Paris, France
| | - Gabriel Alcoba
- Médecins Sans Frontières (MSF) / Doctors Without Borders, Geneva, Switzerland
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Mylona E, Hefele L, Tran Vu Thieu N, Trinh Van T, Nguyen Ngoc Minh C, Tran Tuan A, Karkey A, Dongol S, Basnyat B, Voong Vinh P, Ho Ngoc Dan T, Russell P, Charles RC, Parry CM, Baker S. The Identification of Enteric Fever-Specific Antigens for Population-Based Serosurveillance. J Infect Dis 2024; 229:833-844. [PMID: 37403670 PMCID: PMC10938218 DOI: 10.1093/infdis/jiad242] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 06/21/2023] [Accepted: 07/04/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND Enteric fever, caused by Salmonella enterica serovars Typhi and Paratyphi A, is a major public health problem in low- and middle-income countries. Moderate sensitivity and scalability of current methods likely underestimate enteric fever burden. Determining the serological responses to organism-specific antigens may improve incidence measures. METHODS Plasma samples were collected from blood culture-confirmed enteric fever patients, blood culture-negative febrile patients over the course of 3 months, and afebrile community controls. A panel of 17 Salmonella Typhi and Paratyphi A antigens was purified and used to determine antigen-specific antibody responses by indirect ELISAs. RESULTS The antigen-specific longitudinal antibody responses were comparable between enteric fever patients, patients with blood culture-negative febrile controls, and afebrile community controls for most antigens. However, we found that IgG responses against STY1479 (YncE), STY1886 (CdtB), STY1498 (HlyE), and the serovar-specific O2 and O9 antigens were greatly elevated over a 3-month follow up period in S. Typhi/S. Paratyphi A patients compared to controls, suggesting seroconversion. CONCLUSIONS We identified a set of antigens as good candidates to demonstrate enteric fever exposure. These targets can be used in combination to develop more sensitive and scalable approaches to enteric fever surveillance and generate invaluable epidemiological data for informing vaccine policies. CLINICAL TRIAL REGISTRATION ISRCTN63006567.
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Affiliation(s)
- Elli Mylona
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Lisa Hefele
- Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Grand Duchy of Luxembourg
| | - Nga Tran Vu Thieu
- The Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Tan Trinh Van
- The Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Chau Nguyen Ngoc Minh
- The Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Anh Tran Tuan
- The Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Abhilasha Karkey
- Oxford University Clinical Research Unit, Patan Academy of Health Sciences, Kathmandu, Nepal
| | - Sabina Dongol
- Oxford University Clinical Research Unit, Patan Academy of Health Sciences, Kathmandu, Nepal
| | - Buddha Basnyat
- Oxford University Clinical Research Unit, Patan Academy of Health Sciences, Kathmandu, Nepal
| | - Phat Voong Vinh
- The Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Thanh Ho Ngoc Dan
- The Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Paula Russell
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | | | - Christopher M Parry
- Centre for Tropical Medicine, Oxford University, Oxford, United Kingdom
- Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Stephen Baker
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- IAVI Human Immunology Laboratory, Imperial College London, London, UK
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Shrestha S, Da Silva KE, Shakya J, Yu AT, Katuwal N, Shrestha R, Shakya M, Shahi SB, Naga SR, LeBoa C, Aiemjoy K, Bogoch II, Saha S, Tamrakar D, Andrews JR. Detection of Salmonella Typhi bacteriophages in surface waters as a scalable approach to environmental surveillance. PLoS Negl Trop Dis 2024; 18:e0011912. [PMID: 38329937 PMCID: PMC10852241 DOI: 10.1371/journal.pntd.0011912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 01/09/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Environmental surveillance, using detection of Salmonella Typhi DNA, has emerged as a potentially useful tool to identify typhoid-endemic settings; however, it is relatively costly and requires molecular diagnostic capacity. We sought to determine whether S. Typhi bacteriophages are abundant in water sources in a typhoid-endemic setting, using low-cost assays. METHODOLOGY We collected drinking and surface water samples from urban, peri-urban and rural areas in 4 regions of Nepal. We performed a double agar overlay with S. Typhi to assess the presence of bacteriophages. We isolated and tested phages against multiple strains to assess their host range. We performed whole genome sequencing of isolated phages, and generated phylogenies using conserved genes. FINDINGS S. Typhi-specific bacteriophages were detected in 54.9% (198/361) of river and 6.3% (1/16) drinking water samples from the Kathmandu Valley and Kavrepalanchok. Water samples collected within or downstream of population-dense areas were more likely to be positive (72.6%, 193/266) than those collected upstream from population centers (5.3%, 5/95) (p=0.005). In urban Biratnagar and rural Dolakha, where typhoid incidence is low, only 6.7% (1/15, Biratnagar) and 0% (0/16, Dolakha) river water samples contained phages. All S. Typhi phages were unable to infect other Salmonella and non-Salmonella strains, nor a Vi-knockout S. Typhi strain. Representative strains from S. Typhi lineages were variably susceptible to the isolated phages. Phylogenetic analysis showed that S. Typhi phages belonged to the class Caudoviricetes and clustered in three distinct groups. CONCLUSIONS S. Typhi bacteriophages were highly abundant in surface waters of typhoid-endemic communities but rarely detected in low typhoid burden communities. Bacteriophages recovered were specific for S. Typhi and required Vi polysaccharide for infection. Screening small volumes of water with simple, low-cost (~$2) plaque assays enables detection of S. Typhi phages and should be further evaluated as a scalable tool for typhoid environmental surveillance.
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Affiliation(s)
- Sneha Shrestha
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Kesia Esther Da Silva
- Stanford University, Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford, California, United States of America
| | - Jivan Shakya
- Institute for Research in Science and Technology, Kathmandu, Nepal
| | - Alexander T. Yu
- Stanford University, Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford, California, United States of America
| | - Nishan Katuwal
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Rajeev Shrestha
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Department of Pharmacology, Kathmandu University School of Medical Sciences, Kathmandu, Nepal
| | - Mudita Shakya
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Sabin Bikram Shahi
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Shiva Ram Naga
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Christopher LeBoa
- University of California Berkeley, Department of Environmental Health Sciences, Berkeley, California, United States of America
| | - Kristen Aiemjoy
- University of California Davis, School of Medicine, Department of Public Health Sciences, Davis, California, United States of America
| | - Isaac I. Bogoch
- Department of Medicine, Division of Infectious Diseases, University of Toronto, Toronto, Canada
| | - Senjuti Saha
- Child Health Research Foundation, Dhaka, Bangladesh
| | - Dipesh Tamrakar
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Department of Community Medicine, Kathmandu University School of Medical Sciences, Kathmandu, Nepal
| | - Jason R. Andrews
- Stanford University, Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford, California, United States of America
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LeBoa C, Shrestha S, Shakya J, Naga SR, Shrestha S, Shakya M, Yu AT, Shrestha R, Vaidya K, Katuwal N, Aiemjoy K, Bogoch II, Uzzell CB, Garrett DO, Luby SP, Andrews JR, Tamrakar D. Environmental sampling for typhoidal Salmonellas in household and surface waters in Nepal identifies potential transmission pathways. PLoS Negl Trop Dis 2023; 17:e0011341. [PMID: 37851667 PMCID: PMC10615262 DOI: 10.1371/journal.pntd.0011341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 10/30/2023] [Accepted: 09/06/2023] [Indexed: 10/20/2023] Open
Abstract
INTRODUCTION Salmonella Typhi and Salmonella Paratyphi, fecal-oral transmitted bacterium, have temporally and geographically heterogeneous pathways of transmission. Previous work in Kathmandu, Nepal implicated stone waterspouts as a dominant transmission pathway after 77% of samples tested positive for Salmonella Typhi and 70% for Salmonella Paratyphi. Due to a falling water table, these spouts no longer provide drinking water, but typhoid fever persists, and the question of the disease's dominant pathway of transmission remains unanswered. METHODS We used environmental surveillance to detect Salmonella Typhi and Salmonella Paratyphi A DNA from potential sources of transmission. We collected 370, 1L drinking water samples from a population-based random sample of households in the Kathmandu and Kavre Districts of Nepal between February and October 2019. Between November 2019 and July 2021, we collected 380, 50mL river water samples from 19 sentinel sites on a monthly interval along the rivers leading through the Kathmandu and Kavre Districts. We processed drinking water samples using a single qPCR and processed river water samples using differential centrifugation and qPCR at 0 and after 16 hours of liquid culture enrichment. A 3-cycle threshold (Ct) decrease of Salmonella Typhi or Salmonella Paratyphi, pre- and post-enrichment, was used as evidence of growth. We also performed structured observations of human-environment interactions to understand pathways of potential exposure. RESULTS Among 370 drinking water samples, Salmonella Typhi was detected in 7 samples (1.8%) and Salmonella Paratyphi A was detected in 4 (1.0%) samples. Among 380 river water samples, Salmonella Typhi was detected in 171 (45%) and Salmonella Paratyphi A was detected in 152 (42%) samples. Samples located upstream of the Kathmandu city center were positive for Salmonella Typhi 12% of the time while samples from locations in and downstream were positive 58% and 67% of the time respectively. Individuals were observed bathing, washing clothes, and washing vegetables in the rivers. IMPLICATIONS These results suggest that drinking water was not the dominant pathway of transmission of Salmonella Typhi and Salmonella Paratyphi A in the Kathmandu Valley in 2019. The high degree of river water contamination and its use for washing vegetables raises the possibility that river systems represent an important source of typhoid exposure in Kathmandu.
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Affiliation(s)
- Christopher LeBoa
- Stanford University, Division of Infectious Diseases and Geographic Medicine, Stanford, California, United States of America
- University of California Berkeley, Department of Environmental Health Sciences, Berkeley, California, United States of America
| | - Sneha Shrestha
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Jivan Shakya
- Institute for Research in Science and Technology, Lalitpur, Nepal
| | - Shiva Ram Naga
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Sony Shrestha
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Mudita Shakya
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Alexander T. Yu
- Stanford University, Division of Infectious Diseases and Geographic Medicine, Stanford, California, United States of America
| | - Rajeev Shrestha
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Krista Vaidya
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Nishan Katuwal
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
| | - Kristen Aiemjoy
- University of California Davis, Division of Public Health Sciences, California, United States of America
- Mahidol University Faculty of Tropical Medicine, Department of Microbiology and Immunology, Bangkok, Thailand
| | - Isaac I. Bogoch
- Toronto General Hospital, Division of Infectious Diseases, Toronto, Canada, and Department of Medicine, University of Toronto, Toronto Canada
| | - Christopher B. Uzzell
- Imperial College London, School of Public Health, Norfolk Place, London, United Kingdom
| | - Denise O. Garrett
- Sabin Vaccine Institute, Applied Epidemiology Section, Washington, DC, United States of America
| | - Stephen P. Luby
- Stanford University, Division of Infectious Diseases and Geographic Medicine, Stanford, California, United States of America
| | - Jason R. Andrews
- Stanford University, Division of Infectious Diseases and Geographic Medicine, Stanford, California, United States of America
| | - Dipesh Tamrakar
- Research and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
- Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Kavre, Nepal
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Cao Y, Karthikeyan AS, Ramanujam K, Raju R, Krishna S, Kumar D, Ryckman T, Mohan VR, Kang G, John J, Andrews JR, Lo NC. Geographic Pattern of Typhoid Fever in India: A Model-Based Estimate of Cohort and Surveillance Data. J Infect Dis 2021; 224:S475-S483. [PMID: 35238365 PMCID: PMC8892532 DOI: 10.1093/infdis/jiab187] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Typhoid fever remains a major public health problem in India. Recently, the Surveillance for Enteric Fever in India program completed a multisite surveillance study. However, data on subnational variation in typhoid fever are needed to guide the introduction of the new typhoid conjugate vaccine in India. METHODS We applied a geospatial statistical model to estimate typhoid fever incidence across India, using data from 4 cohort studies and 6 hybrid surveillance sites from October 2017 to March 2020. We collected geocoded data from the Demographic and Health Survey in India as predictors of typhoid fever incidence. We used a log linear regression model to predict a primary outcome of typhoid incidence. RESULTS We estimated a national incidence of typhoid fever in India of 360 cases (95% confidence interval [CI], 297-494) per 100 000 person-years, with an annual estimate of 4.5 million cases (95% CI, 3.7-6.1 million) and 8930 deaths (95% CI, 7360-12 260), assuming a 0.2% case-fatality rate. We found substantial geographic variation of typhoid incidence across the country, with higher incidence in southwestern states and urban centers in the north. CONCLUSIONS There is a large burden of typhoid fever in India with substantial heterogeneity across the country, with higher burden in urban centers.
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Affiliation(s)
- Yanjia Cao
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA
| | | | | | - Reshma Raju
- Wellcome Research Unit, Christian Medical College, Vellore, India
| | - Swathi Krishna
- Wellcome Research Unit, Christian Medical College, Vellore, India
| | - Dilesh Kumar
- Wellcome Research Unit, Christian Medical College, Vellore, India
| | - Theresa Ryckman
- Center for Health Policy and the Center for Primary Care and Outcomes Research, Stanford University School of Medicine, Stanford, California, USA
| | | | - Gagandeep Kang
- Wellcome Research Unit, Christian Medical College, Vellore, India
| | - Jacob John
- Department of Community Health, Christian Medical College, Vellore, India
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nathan C Lo
- Deparment of Medicine, University of California, San Francisco, San Francisco, California, USA
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Siepmann T, Sedghi A, Barlinn J, de With K, Mirow L, Wolz M, Gruenewald T, Helbig S, Schroettner P, Winzer S, von Bonin S, Moustafa H, Pallesen LP, Rosengarten B, Schubert J, Gueldner A, Spieth P, Koch T, Bornstein S, Reichmann H, Puetz V, Barlinn K. Association of history of cerebrovascular disease with severity of COVID-19. J Neurol 2021; 268:773-784. [PMID: 32761508 PMCID: PMC7407424 DOI: 10.1007/s00415-020-10121-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/22/2020] [Accepted: 07/27/2020] [Indexed: 01/05/2023]
Abstract
OBJECTIVE To determine whether a history of cerebrovascular disease (CVD) increases risk of severe coronavirus disease 2019 (COVID-19). METHODS In a retrospective multicenter study, we retrieved individual data from in-patients treated March 1 to April 15, 2020 from COVID-19 registries of three hospitals in Saxony, Germany. We also performed a systematic review and meta-analysis following PRISMA recommendations using PubMed, EMBASE, Cochrane Library databases and bibliographies of identified papers (last search on April 11, 2020) and pooled data with those deriving from our multicenter study. Of 3762 records identified, 11 eligible observational studies of laboratory-confirmed COVID-19 patients were included in quantitative data synthesis. Risk ratios (RR) of severe COVID-19 according to history of CVD were pooled using DerSimonian and Laird random effects model. Between-study heterogeneity was assessed using Cochran's Q and I2-statistics. Severity of COVID-19 according to definitions applied in included studies was the main outcome. Sensitivity analyses were conducted for clusters of studies with equal definitions of severity. RESULTS Pooled analysis included data from 1906 laboratory-confirmed COVID-19 patients (43.9% females, median age ranging from 39 to 76 years). Patients with previous CVD had higher risk of severe COVID-19 than those without [RR 2.07, 95% confidence interval (CI) 1.52-2.81; p < 0.0001]. This association was also observed in clusters of studies that defined severe manifestation of the disease by clinical parameters (RR 1.44, 95% CI 1.22-1.71; p < 0.0001), necessity of intensive care (RR 2.79, 95% CI 1.83-4.24; p < 0.0001) and in-hospital death (RR 2.18, 95% CI 1.75-2.7; p < 0.0001). CONCLUSION A history of CVD might constitute an important risk factor of unfavorable clinical course of COVID-19 suggesting a need of tailored infection prevention and clinical management strategies for this population at risk.
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Affiliation(s)
- Timo Siepmann
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
| | - Annahita Sedghi
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Jessica Barlinn
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Katja de With
- Division of Infectious Diseases, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Lutz Mirow
- Department of General and Visceral Surgery, Klinikum Chemnitz gGmbH, Chemnitz, Germany
| | - Martin Wolz
- Department of Neurology, Elblandklinikum Meißen, Meißen, Germany
| | - Thomas Gruenewald
- Department of Infectious Diseases/Tropical Medicine, Klinikum Chemnitz gGmbH, Chemnitz, Germany
| | - Sina Helbig
- Division of Infectious Diseases, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Percy Schroettner
- Department of Virology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Simon Winzer
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Simone von Bonin
- Department of Virology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Haidar Moustafa
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Lars-Peder Pallesen
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | | | - Joerg Schubert
- Department of Hematology and Oncology, Elblandklinikum Riesa, Riesa, Germany
| | - Andreas Gueldner
- Department of Anesthesiology and Intensive Care, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Peter Spieth
- Department of Anesthesiology and Intensive Care, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Thea Koch
- Department of Anesthesiology and Intensive Care, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Stefan Bornstein
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Heinz Reichmann
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Volker Puetz
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Kristian Barlinn
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
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Yu AT, Shakya R, Adhikari B, Tamrakar D, Vaidya K, Maples S, Date K, Bogoch II, Bern C, Qamar F, Yousafzai MT, Garrett DO, Longley AT, Hemlock C, Luby S, Aiemjoy K, Andrews JR. A Cluster-based, Spatial-sampling Method for Assessing Household Healthcare Utilization Patterns in Resource-limited Settings. Clin Infect Dis 2020; 71:S239-S247. [PMID: 33258933 PMCID: PMC7705878 DOI: 10.1093/cid/ciaa1310] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND Implementation of population-based surveys is resource intensive and logistically demanding, especially in areas with rapidly changing demographics and incomplete or no enumeration of the underlying population and their residences. To remove the need for pre-enumeration and to simplify field logistics for the population healthcare utilization survey used for the Surveillance for Enteric Fever in Asia Project in Nepal, we incorporated a geographic information system-based geosurvey and field mapping system into a single-stage cluster sampling approach. METHODS A survey was administered to ascertain healthcare-seeking behavior in individuals with recent suspected enteric fever. Catchment areas were based on residential addresses of enteric fever patients using study facilities; clusters were randomly selected from digitally created grids using available satellite images and all households within clusters were offered enrollment. A tablet-compatible geosurvey and mapping system that allowed for data-syncing and use in areas without cellular data was created using the ArcGIS suite of software. RESULTS Between January 2017 and November 2018, we surveyed 25 521 households in Nepal (16 769 in urban Kathmandu and 8752 in periurban Kavrepalanchok), representing 84 202 individuals. Overall, the survey participation rate was 90.9%, with geographic heterogeneity in participation rates within each catchment area. Areas with higher average household wealth had lower participation rates. CONCLUSION A geographic information system-based geosurvey and field mapping system allowed creation of a virtual household map at the same time as survey administration, enabling a single-stage cluster sampling method to assess healthcare utilization in Nepal for the Surveillance for Enteric Fever in Asia Project . This system removed the need for pre-enumeration of households in sampling areas, simplified logistics and could be replicated in future community surveys.
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Affiliation(s)
- Alexander T Yu
- Division of Infectious Diseases and Geographic Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Rajani Shakya
- Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal
| | - Bikram Adhikari
- Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal
| | - Dipesh Tamrakar
- Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal
| | - Krista Vaidya
- Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal
| | - Stace Maples
- Stanford Geospatial Center, Stanford University, Stanford, California, USA
| | - Kashmira Date
- Global Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Isaac I Bogoch
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Caryn Bern
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | | | | | - Denise O Garrett
- Applied Epidemiology, Sabin Vaccine Institute, Washington, DC, USA
| | - Ashley T Longley
- Global Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- National Foundation for the Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Caitlin Hemlock
- Applied Epidemiology, Sabin Vaccine Institute, Washington, DC, USA
| | - Stephen Luby
- Division of Infectious Diseases and Geographic Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Kristen Aiemjoy
- Division of Infectious Diseases and Geographic Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, School of Medicine, Stanford University, Stanford, California, USA
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