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Katz MJ, Reeves M, Harris TG, Duque J, Fridkin SK, Rebolledo PA, Furuno JP, Short EK, Canaday DH, Abul Y, Gravenstein S, Cosgrove SE, Mody L, Meddings J, Nace DA, Handler S, Crnich CJ, Meece J, Webby RJ, Fabrizio TP, Harcourt JL, Healy JM, Lipsitch M, Lutgring JD, Paul P, Zipfel CM, Hernandez-Romieu AC, Reddy SC, Slayton RB. Kinetics of SARS-CoV-2 Shedding in Nursing Home Residents and Staff. J Am Geriatr Soc 2025. [PMID: 40317518 DOI: 10.1111/jgs.19499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2024] [Revised: 03/06/2025] [Accepted: 03/16/2025] [Indexed: 05/07/2025]
Abstract
BACKGROUND Nursing homes (NHs) were disproportionately affected by the COVID-19 pandemic. However, little is known regarding the kinetics of SARS-CoV-2 shedding in NH residents and staff, which could inform treatment and infection prevention. METHODS We enrolled NH residents and staff in eight US states from April to November 2023 and analyzed the kinetics of SARS-CoV-2 using serial antigen and molecular (RT-PCR) tests, whole genome sequencing, and viral culture (VC). Symptoms, vaccination, and treatment were collected via interviews and chart review. Viral load trajectories were modeled with gamma distribution functional forms. Antigen and VC test positivity over time were assessed using a Chi-squared test. RESULTS Of the 587 enrolled participants, 86 tested positive and 73 underwent testing for ≥ 10 days; most residents (78%) and staff (87%) had ≥ 3 COVID-19 vaccine doses. The modeled SARS-CoV-2 proliferation period (period prior to reaching peak viral load) had ended for 48% (14/29) of residents and 56% (9/16) of staff when they took the initial RT-PCR test. Both antigen and VC showed higher positivity rates early in the course of disease (Days 0-5 vs. Days ≥ 6) (antigen: p < 0·001, VC: p < 0·001). VC positivity was 15% after Day 5 (14/96); two participants were VC positive after Day 10. CONCLUSIONS Peak viral load occurs early in the disease, suggesting asymptomatic and presymptomatic transmission may be a significant driver of transmission. Only two participants had a positive VC after Day 10, supporting current isolation and return to work recommendations.
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Affiliation(s)
- Morgan J Katz
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Majerle Reeves
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | - Scott K Fridkin
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Paulina A Rebolledo
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jon P Furuno
- Department of Pharmacy Practice, Oregon State University College of Pharmacy, Portland, Oregon, USA
| | - Emily K Short
- Department of Pharmacy Practice, Oregon State University College of Pharmacy, Portland, Oregon, USA
| | - David H Canaday
- Division of Infectious Disease, Case Western Reserve University and Cleveland VA, Cleveland, Ohio, USA
| | - Yasin Abul
- Division of Geriatrics and Palliative Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Stefan Gravenstein
- Division of Geriatrics and Palliative Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Providence Veterans Administration Medical Center, Providence, Rhode Island, USA
| | - Sara E Cosgrove
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Lona Mody
- Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Geriatrics Research Education and Clinical Center, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
| | - Jennifer Meddings
- Division of General Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Division of General Pediatrics, Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Department of Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
- Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
| | - David A Nace
- Division of Geriatric Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Steven Handler
- Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Technology Enhancing Cognition and Health-Geriatrics Research Education and Clinical Center (TECH-GRECC), Veterans Administration Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Christopher J Crnich
- Division of Infectious Diseases, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Medical Service, William S. Middleton Veterans Affairs Hospital, Madison, Wisconsin, USA
| | - Jennifer Meece
- Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA
| | - Richard J Webby
- St. Jude Children's Research Hospital, Department of Host-Microbe Interactions, Memphis, Tennessee, USA
| | - Tom P Fabrizio
- St. Jude Children's Research Hospital, Department of Host-Microbe Interactions, Memphis, Tennessee, USA
| | - Jennifer L Harcourt
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jessica M Healy
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Marc Lipsitch
- Center for Forecasting and Outbreak Analytics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Center for Communicable Disease Dynamics, Department of Epidemiology and Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Joseph D Lutgring
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Prabasaj Paul
- Center for Forecasting and Outbreak Analytics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Casey M Zipfel
- Center for Forecasting and Outbreak Analytics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Alfonso C Hernandez-Romieu
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sujan C Reddy
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Rachel B Slayton
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Mayamba Nlandu Y, Tannor EK, Bamikefa TA, Rissassi Makulo JR. Kidney damage associated with COVID-19: from the acute to the chronic phase. Ren Fail 2024; 46:2316885. [PMID: 38561236 PMCID: PMC10986440 DOI: 10.1080/0886022x.2024.2316885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 02/05/2024] [Accepted: 02/05/2024] [Indexed: 04/04/2024] Open
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) infection is well established as a systemic disease including kidney damage. The entry point into the renal cell remains the angiotensin-converting enzyme 2 (ACE-2) receptor and the spectrum of renal lesions is broad, with a clear predominance of structural and functional tubular lesions. The most common form of glomerular injury is collapsing glomerulopathy (CG), which is strongly associated with apolipoprotein L1(APOL-1) risk variants. These acute lesions, which are secondary to the direct or indirect effects of SARS-CoV-2, can progress to chronicity and are specific to long COVID-19 in the absence of any other cause. Residual inflammation associated with SARS-CoV-2 infection, in addition to acute kidney injury (AKI) as a transitional state with or without severe histological lesions, may be responsible for greater kidney function decline in mild-to-moderate COVID-19. This review discusses the evidence for renal histological markers of chronicity in COVID-19 patients and triggers of low-grade inflammation that may explain the decline in kidney function in the post-COVID-19 period.
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Affiliation(s)
- Yannick Mayamba Nlandu
- Nephrology Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Elliot Koranteng Tannor
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Directorate of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana
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David P, Hen O, Ben-Shabbat N, Macleod T, Amital H, Watad A, McGonagle DG. Pronounced benefits of JAK inhibition with baricitinib in COVID-19 pneumonia in obese but not lean subjects. RMD Open 2024; 10:e004045. [PMID: 38796180 PMCID: PMC11129021 DOI: 10.1136/rmdopen-2023-004045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 05/06/2024] [Indexed: 05/28/2024] Open
Abstract
OBJECTIVE Obesity and age are strongly linked to severe COVID-19 pneumonia where immunomodulatory agents including Janus kinase inhibitors have shown benefits but the efficacy of such therapy in viral pneumonia is not well understood. We evaluated the impact of obesity and age on survival following baricitinib therapy for severe COVID-19. METHODS A post hoc analysis of the COV-BARRIER multicentre double-blind randomised study of baricitinib versus placebo (PBO) with an assessment of 28-day mortality was performed. All-cause mortality by day 28 was evaluated in a Cox regression analysis (adjusted to age) in three different groups according to body mass index (BMI) (<25 kg/m2, 25-30 kg/m2 and >30 kg/m2) and age <65 years and ≥65 years. RESULTS In the high BMI group (>25 kg/m2), baricitinib therapy showed a significant survival advantage compared with PBO (incidence rate ratio (IRR) for mortality by day 28 0.53 (95% CI 0.32 to 0.87)) and 0.66 (95% CI 0.46 to 0.94) for the respective <65 years and ≥65 years, respectively. The 28-day all-cause-mortality rates for BMI over 30 were 5.62% for baricitinib and 9.22% for PBO (HR=0.6, p<0.05). For BMI under 25 kg/m2, irrespective of age, baricitinib therapy conferred no survival advantage (IRR of 1.89 (95% CI 0.49 to 7.28) and 0.95 (95% CI 0.46 to 1.99) for <65 years and ≥65 years, respectively) ((mortality 6.6% baricitinib vs 8.1 in PBO), p>0.05). CONCLUSION The efficacy of baricitinib in COVID-19 pneumonia is linked to obesity suggesting that immunomodulatory therapy benefit is associated with obesity-associated inflammation.
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Affiliation(s)
- Paula David
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
- Internal Medicine B, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Or Hen
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
- Internal Medicine C, Shena Medical Center - Tel Hashomer, Ramat Gan, Israel
| | - Niv Ben-Shabbat
- Internal Medicine B, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tom Macleod
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Howard Amital
- Internal Medicine B, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Abdulla Watad
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
- Internal Medicine B, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Dennis G McGonagle
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, England
- Leeds Teaching Hospitals NHS Trust, Leeds, England
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Zemni I, Bennasrallah C, Charrada I, Dhouib W, Maatouk A, Hassine DB, Klii R, Kacem M, Fredj MB, Abroug H, Mhalla S, Mastouri M, Loussaief C, Jlassi I, Bouanène I, Belguith AS. Comparison of time to negative conversion of SARS-CoV-2 between young and elderly among asymptomatic and mild COVID-19 patients: a cohort study from a national containment center. Front Med (Lausanne) 2024; 11:1217849. [PMID: 38562375 PMCID: PMC10983848 DOI: 10.3389/fmed.2024.1217849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 01/29/2024] [Indexed: 04/04/2024] Open
Abstract
Objective We aimed to study the relationship between age and time to negative conversion of SARS-CoV-2 in patients with asymptomatic and mild forms of COVID-19. Methods We conducted a cohort study including all patients diagnosed with COVID-19 from the national COVID-19 containment center of Tunisia. Patients were subdivided into two cohorts: (under 60 years) and (over 60 years) and were followed up until PCR negativization. Log rank test and Cox regression were applied to compare time to negative conversion between the old group and the young group. Results The study included 289 patients with non-severe forms of COVID-19. Age over 60 was significantly associated with delayed negative conversion in male sex (Hazard ratio (HR): 1.9; 95% CI: 1.2-3.07) and among patients with morbid conditions (HR:1.68; 95% CI: 1.02-2.75) especially diabetics (HR: 2.06; 95% CI: 1.01-4.21). This association increased to (HR:2.3; 95% CI: 1.13-4.66) when male sex and comorbidities were concomitantly present and rose to (HR: 2.63; 95% CI: 1.02-6.80) for men with diabetes. Cox regression analysis revealed a significantly delayed negative conversion in symptomatic patients. Significant interaction was observed between gender and age and between age and chronic conditions. Conclusion Age is associated with delayed negative conversion of viral RNA in certain subgroups. Identifying these subgroups is crucial to know how prioritize preventive strategies in elderly.
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Affiliation(s)
- Imen Zemni
- Department of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
- Faculty of Medicine of Monastir, Department of Epidemiology, University of Monastir, Monastir, Tunisia
- Technology and Medical Imaging Research Laboratory, University of Monastir, Monastir, Tunisia
| | - Cyrine Bennasrallah
- Department of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
- Faculty of Medicine of Monastir, Department of Epidemiology, University of Monastir, Monastir, Tunisia
- Technology and Medical Imaging Research Laboratory, University of Monastir, Monastir, Tunisia
| | - Ines Charrada
- Department of Endocrinology, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
| | - Wafa Dhouib
- Department of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
- Faculty of Medicine of Monastir, Department of Epidemiology, University of Monastir, Monastir, Tunisia
- Technology and Medical Imaging Research Laboratory, University of Monastir, Monastir, Tunisia
| | - Amani Maatouk
- Department of Microbiology, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
| | - Donia Ben Hassine
- Department of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
- Faculty of Medicine of Monastir, Department of Epidemiology, University of Monastir, Monastir, Tunisia
| | - Rim Klii
- Department of Internal Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
| | - Meriem Kacem
- Department of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
- Faculty of Medicine of Monastir, Department of Epidemiology, University of Monastir, Monastir, Tunisia
- Technology and Medical Imaging Research Laboratory, University of Monastir, Monastir, Tunisia
| | - Manel Ben Fredj
- Department of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
- Faculty of Medicine of Monastir, Department of Epidemiology, University of Monastir, Monastir, Tunisia
- Technology and Medical Imaging Research Laboratory, University of Monastir, Monastir, Tunisia
| | - Hela Abroug
- Department of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
- Faculty of Medicine of Monastir, Department of Epidemiology, University of Monastir, Monastir, Tunisia
- Technology and Medical Imaging Research Laboratory, University of Monastir, Monastir, Tunisia
| | - Salma Mhalla
- Department of Microbiology, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
| | - Maha Mastouri
- Department of Microbiology, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
| | - Chawki Loussaief
- Department of Infectiology, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
| | - Ines Jlassi
- Faculty of Sciences of Monastir, Department of Mathematics and Statistics, University of Monastir, Monastir, Tunisia
| | - Ines Bouanène
- Department of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
- Faculty of Medicine of Monastir, Department of Epidemiology, University of Monastir, Monastir, Tunisia
| | - Asma Sriha Belguith
- Department of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, University of Monastir, Monastir, Tunisia
- Faculty of Medicine of Monastir, Department of Epidemiology, University of Monastir, Monastir, Tunisia
- Technology and Medical Imaging Research Laboratory, University of Monastir, Monastir, Tunisia
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