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Bezerra R, Feitosa AD, Silvestre OM, Fernandes-Silva MM, Amazonas RB, Teles F, Rodrigues CIS, Lima-Filho JL, Sposito AC, Nadruz W. Dialysis parameters associated with SARS-CoV-2 infection and prognosis in end-stage kidney disease. Ann Med 2024; 56:2343890. [PMID: 38738416 PMCID: PMC11095274 DOI: 10.1080/07853890.2024.2343890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 04/08/2024] [Indexed: 05/14/2024] Open
Abstract
BACKGROUND The Covid-19 pandemic has affected patients with end-stage kidney disease (ESKD). Whether dialysis parameters have a prognostic value in ESKD patients with Covid-19 remains unclear. MATERIALS AND METHODS We retrospectively evaluated clinical characteristics, blood pressure (BP) and dialysis parameters in ESKD patients undergoing maintenance outpatient hemodialysis, with (Covid-ESKD) and without (No-Covid-ESKD) Covid-19, at four Brazilian hemodialysis facilities. The Covid-ESKD (n = 107; 54% females; 60.8 ± 17.7 years) and No-Covid-ESKD (n = 107; 62% females; 58.4 ± 14.6 years) groups were matched by calendar time. The average BP and dialysis parameters were calculated during the pre-infection, acute infection, and post-infection periods. The main outcomes were Covid-19 hospitalization and all-cause mortality. RESULTS Covid-ESKD patients had greater intradialytic and postdialysis systolic BP and lower predialysis weight, postdialysis weight, ultrafiltration rate, and interdialytic weight gain during acute-illness compared to 1-week-before-illness, while these changes were not observed in No-Covid-ESKD patients. After 286 days of follow-up (range, 276-591), there were 18 Covid-19-related hospitalizations and 28 deaths among Covid-ESKD patients. Multivariable logistic regression analysis showed that increases in predialysis systolic BP from 1-week-before-illness to acute-illness (OR, 95%CI = 1.06, 1.02-1.10; p = .004) and Covid-19 vaccination (OR, 95%CI = 0.16, 0.04-0.69; p = .014) were associated with hospitalization in Covid-ESKD patients. Multivariable Cox-regression analysis showed that Covid-19-related hospitalization (HR, 95%CI = 5.17, 2.07-12.96; p < .001) and age (HR, 95%CI = 1.05, 1.01-1.08; p = .008) were independent predictors of all-cause mortality in Covid-ESKD patients. CONCLUSION Acute Covid-19 illness is associated with variations in dialysis parameters of volume status in patients with ESKD. Furthermore, increases in predialysis BP during acute Covid-19 illness are associated with an adverse prognosis in Covid-ESKD patients.
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Affiliation(s)
- Rodrigo Bezerra
- Keizo Asami Institute, Federal University of Pernambuco, Recife, PE, Brazil
- Pronto Socorro Cardiológico de Pernambuco (PROCAPE), University of Pernambuco, Recife, PE, Brazil
| | - Audes D.M. Feitosa
- Pronto Socorro Cardiológico de Pernambuco (PROCAPE), University of Pernambuco, Recife, PE, Brazil
| | | | | | | | - Flavio Teles
- School of Medicine, Federal University of Alagoas, Maceio, AL, Brazil
| | - Cibele I. S. Rodrigues
- Department of Internal Medicine, Faculty of Medical Sciences and Health, Pontifical Catholic University of São Paulo, Sorocaba, SP, Brazil
| | - Jose L. Lima-Filho
- Keizo Asami Institute, Federal University of Pernambuco, Recife, PE, Brazil
| | - Andrei C. Sposito
- Department of Internal Medicine, School of Medical Sciences, State University of Campinas, Campinas, SP, Brazil
| | - Wilson Nadruz
- Keizo Asami Institute, Federal University of Pernambuco, Recife, PE, Brazil
- Department of Internal Medicine, School of Medical Sciences, State University of Campinas, Campinas, SP, Brazil
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Nakashima A, Yamamoto I, Kobayashi A, Kimura K, Yaginuma T, Nishio S, Kato K, Kawai R, Horino T, Ohkido I, Yokoo T. Active vitamin D analog and SARS-CoV-2 IgG after BNT162b2 vaccination in patients with hemodialysis. Ther Apher Dial 2024. [PMID: 38504452 DOI: 10.1111/1744-9987.14121] [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: 10/20/2023] [Revised: 02/07/2024] [Accepted: 02/21/2024] [Indexed: 03/21/2024]
Abstract
INTRODUCTION Vaccination is the effective strategy for coronavirus disease 2019 (COVID-19). However, few studies have investigated the association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin (Ig)G and vitamin D. METHODS This study aimed to investigate the association between SARS-CoV-2 IgG and active vitamin D analogs in hemodialysis patients. Blood samples were collected four times: before vaccination and 30, 60, and 90 days after vaccination, BNT162b2 (Pfizer©). RESULTS A total of 418 patients were enrolled. The mean age was 71.1 ± 12 years. Almost two thirds of the patients were prescribed active vitamin D analogs. The distribution of SARS-CoV-2 IgG before vaccination was 235 (93-454) AU/mL. After multiple regression analyses, active vitamin D analog use was found to be associated with higher SARS-CoV-2 IgG levels from prevaccination to 90 days postvaccination. CONCLUSION This study demonstrated an association between higher SARS-CoV-2 IgG and active vitamin D analog use in hemodialysis patients. CLINICAL TRIAL REGISTRATION The study information was registered in the UMIN-CTR (UMIN 000046906).
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Affiliation(s)
- Akio Nakashima
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Izumi Yamamoto
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Arisa Kobayashi
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | | | | | | | - Kazuhiko Kato
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Rena Kawai
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Tetsuya Horino
- Department of Infectious Diseases and Infection Control, The Jikei University School of Medicine, Tokyo, Japan
| | - Ichiro Ohkido
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Takashi Yokoo
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
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3
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Xu J, Lin E, Hong X, Li L, Gu J, Zhao J, Liu Y. Klotho-derived peptide KP1 ameliorates SARS-CoV-2-associated acute kidney injury. Front Pharmacol 2024; 14:1333389. [PMID: 38239193 PMCID: PMC10795167 DOI: 10.3389/fphar.2023.1333389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 12/12/2023] [Indexed: 01/22/2024] Open
Abstract
Introduction: The severe cases of COVID-19, a disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), often present with acute kidney injury (AKI). Although old age and preexisting medical conditions have been identified as principal risk factors for COVID-19-associated AKI, the molecular basis behind such a connection remains unknown. In this study, we investigated the pathogenic role of Klotho deficiency in COVID-19-associated AKI and explored the therapeutic potential of Klotho-derived peptide 1 (KP1). Methods: We assessed the susceptibility of Klotho deficient Kl/Kl mice to developing AKI after expression of SARS-CoV-2 N protein. The role of KP1 in ameliorating tubular injury was investigated by using cultured proximal tubular cells (HK-2) in vitro and mouse model of ischemia-reperfusion injury (IRI) in vivo. Results: Renal Klotho expression was markedly downregulated in various chronic kidney disease (CKD) models and in aged mice. Compared to wild-type counterparts, mutant KL/KL mice were susceptible to overexpression of SARS-CoV-2 N protein and developed kidney lesions resembling AKI. In vitro, expression of N protein alone induced HK-2 cells to express markers of tubular injury, cellular senescence, apoptosis and epithelial-mesenchymal transition, whereas both KP1 and Klotho abolished these lesions. Furthermore, KP1 mitigated kidney dysfunction, alleviated tubular injury and inhibited apoptosis in AKI model induced by IRI and N protein. Conclusion: These findings suggest that Klotho deficiency is a key determinant of developing COVID-19-associated AKI. As such, KP1, a small peptide recapitulating Klotho function, could be an effective therapeutic for alleviating AKI in COVID-19 patients.
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Affiliation(s)
- Jie Xu
- State Key Laboratory of Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangzhou, China
| | - Enqing Lin
- State Key Laboratory of Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangzhou, China
| | - Xue Hong
- State Key Laboratory of Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangzhou, China
| | - Li Li
- State Key Laboratory of Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangzhou, China
| | - Jun Gu
- State Key Laboratory of Protein and Plant Gene Research, College of Life Science, Peking University, Beijing, China
| | - Jinghong Zhao
- Division of Nephrology, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Youhua Liu
- State Key Laboratory of Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangzhou, China
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4
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He M, Wang Y, Li S, Gillespie A. Nationwide in-hospital mortality and morbidity analysis of COVID-19 in advanced chronic kidney disease, dialysis and kidney transplant recipients. Front Med (Lausanne) 2023; 10:1250631. [PMID: 38020145 PMCID: PMC10652751 DOI: 10.3389/fmed.2023.1250631] [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: 07/04/2023] [Accepted: 10/02/2023] [Indexed: 12/01/2023] Open
Abstract
Background Patients with advanced chronic kidney disease (CKD), end-stage kidney disease (ESKD), and kidney transplants (KT) are at an elevated risk for COVID-19 infection, hospitalization, and mortality. A comprehensive comparison of morbidity and mortality between these populations with kidney disease and individuals without any kidney disease is lacking. Methods We analysed the 2020 Nationwide Inpatient Sample (NIS) database for non-elective adult COVID-19 hospitalizations, categorizing patients into advanced CKD, ESKD, KT, and kidney disease-free cohorts. Our analysis included a description of the distribution of comorbidities across the entire spectrum of CKD, ESKD, and KT. Additionally, we investigated in-hospital mortality, morbidity, and resource utilization, adjusting for potential confounders through multivariable regression models. Results The study included 1,018,915 adults hospitalized for COVID-19 in 2020. The incidence of advanced CKD, ESKD, and KT in this cohort was 5.8%, 3.8%, and 0.4%, respectively. Patients with advanced CKD, ESKD, and KT exhibited higher multimorbidity burdens, with 90.3%, 91.0%, and 75.2% of patients in each group having a Charlson comorbidity index (CCI) equal to or greater than 3. The all-cause in-hospital mortality ranged from 9.3% in kidney disease-free patients to 20.6% in advanced CKD, 19.4% in ESKD, and 12.4% in KT patients. After adjusting for potential confounders at both the patient and hospital levels, CKD stages 3-5; ESKD; and KT were found to be associated with increased odds of mortality, with adjusted odds ratios (aOR) of 1.34, 1.80, 2.66, 1.97, and 1.69, respectively. Conclusion Patients hospitalized for COVID-19 with advanced CKD, ESKD, or KT demonstrated a higher burden of comorbidities and increased mortality rates compared to those without kidney disease. After adjusting for confounders, CKD stages 3-5; ESKD; and KT were identified as independent risk factors for in-hospital mortality, illustrating a dose-response relationship between the odds of mortality and adverse outcomes as CKD progressed from stages 3 to 5. Our study highlights the necessity for enhanced management of comorbidities, targeted interventions, and vigorous vaccination efforts to mitigate the risk of adverse outcomes in the vulnerable populations of patients with CKD, ESKD, and KT.
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Affiliation(s)
- Mingyue He
- Department of Internal Medicine, Temple University Hospital, Philadelphia, PA, United States
| | - Yichen Wang
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Si Li
- Department of Internal Medicine, Temple University Hospital, Philadelphia, PA, United States
| | - Avrum Gillespie
- Section of Nephrology, Hypertension and Kidney Transplantation, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
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5
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Teo RZC, Yan H, Singh T, Khan BA. Outcomes and mortality of chronic haemodialysis patients in community-based dialysis centres in Singapore during the COVID-19 pandemic. Singapore Med J 2023:386396. [PMID: 37870041 DOI: 10.4103/singaporemedj.smj-2023-036] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2023]
Affiliation(s)
- Rachel Zui Chih Teo
- Medical Services Department, The National Kidney Foundation; Department of Medicine, Duke-NUS Medical School, Singapore
| | - Hua Yan
- Medical Services Department, The National Kidney Foundation, Singapore
| | - Tripti Singh
- Medical Services Department, The National Kidney Foundation; Department of Medicine, Duke-NUS Medical School, Singapore
| | - Behram Ali Khan
- Medical Services Department, The National Kidney Foundation; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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6
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Bell S, Perkins GB, Anandh U, Coates PT. COVID and the Kidney: An Update. Semin Nephrol 2023; 43:151471. [PMID: 38199827 DOI: 10.1016/j.semnephrol.2023.151471] [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] [Indexed: 01/12/2024]
Abstract
Coronavirus disease-2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, has led to a global pandemic that continues to be responsible for ongoing health issues for people worldwide. Immunocompromised individuals such as kidney transplant recipients and dialysis patients have been and continue to be among the most affected, with poorer outcomes after infection, impaired response to COVID-19 vaccines, and protracted infection. The pandemic also has had a significant impact on patients with underlying chronic kidney disease (CKD), with CKD increasing susceptibility to COVID-19, risk of hospital admission, and mortality. COVID-19 also has been shown to lead to acute kidney injury (AKI) through both direct and indirect mechanisms. The incidence of COVID-19 AKI has been decreasing as the pandemic has evolved, but continues to be associated with adverse patient outcomes correlating with the severity of AKI. There is also increasing evidence examining the longer-term effect of COVID-19 on the kidney demonstrating continued decline in kidney function several months after infection. This review summarizes the current evidence examining the impact of COVID-19 on the kidney, covering both the impact on patients with CKD, including patients receiving kidney replacement therapy, in addition to discussing COVID-19 AKI.
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Affiliation(s)
- Samira Bell
- Division of Population Health and Genomics, University of Dundee, Dundee, Scotland.
| | - Griffith B Perkins
- University of Adelaide, South Australia, 5005 Australia; Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide
| | - Urmila Anandh
- Department of Nephrology, Amrita Hospitals, Faridabad, Haryana, India
| | - P Toby Coates
- University of Adelaide, South Australia, 5005 Australia; Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide
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7
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van der Klaauw AA, Horner EC, Pereyra-Gerber P, Agrawal U, Foster WS, Spencer S, Vergese B, Smith M, Henning E, Ramsay ID, Smith JA, Guillaume SM, Sharpe HJ, Hay IM, Thompson S, Innocentin S, Booth LH, Robertson C, McCowan C, Kerr S, Mulroney TE, O'Reilly MJ, Gurugama TP, Gurugama LP, Rust MA, Ferreira A, Ebrahimi S, Ceron-Gutierrez L, Scotucci J, Kronsteiner B, Dunachie SJ, Klenerman P, Park AJ, Rubino F, Lamikanra AA, Stark H, Kingston N, Estcourt L, Harvala H, Roberts DJ, Doffinger R, Linterman MA, Matheson NJ, Sheikh A, Farooqi IS, Thaventhiran JED. Accelerated waning of the humoral response to COVID-19 vaccines in obesity. Nat Med 2023; 29:1146-1154. [PMID: 37169862 PMCID: PMC10202802 DOI: 10.1038/s41591-023-02343-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 04/07/2023] [Indexed: 05/13/2023]
Abstract
Obesity is associated with an increased risk of severe Coronavirus Disease 2019 (COVID-19) infection and mortality. COVID-19 vaccines reduce the risk of serious COVID-19 outcomes; however, their effectiveness in people with obesity is incompletely understood. We studied the relationship among body mass index (BMI), hospitalization and mortality due to COVID-19 among 3.6 million people in Scotland using the Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) surveillance platform. We found that vaccinated individuals with severe obesity (BMI > 40 kg/m2) were 76% more likely to experience hospitalization or death from COVID-19 (adjusted rate ratio of 1.76 (95% confidence interval (CI), 1.60-1.94). We also conducted a prospective longitudinal study of a cohort of 28 individuals with severe obesity compared to 41 control individuals with normal BMI (BMI 18.5-24.9 kg/m2). We found that 55% of individuals with severe obesity had unquantifiable titers of neutralizing antibody against authentic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus compared to 12% of individuals with normal BMI (P = 0.0003) 6 months after their second vaccine dose. Furthermore, we observed that, for individuals with severe obesity, at any given anti-spike and anti-receptor-binding domain (RBD) antibody level, neutralizing capacity was lower than that of individuals with a normal BMI. Neutralizing capacity was restored by a third dose of vaccine but again declined more rapidly in people with severe obesity. We demonstrate that waning of COVID-19 vaccine-induced humoral immunity is accelerated in individuals with severe obesity. As obesity is associated with increased hospitalization and mortality from breakthrough infections, our findings have implications for vaccine prioritization policies.
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Affiliation(s)
- Agatha A van der Klaauw
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome-Medical Research Council (MRC) Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Emily C Horner
- MRC Toxicology Unit, University of Cambridge, Cambridge, UK
| | - Pehuén Pereyra-Gerber
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Utkarsh Agrawal
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | | | - Sarah Spencer
- MRC Toxicology Unit, University of Cambridge, Cambridge, UK
| | - Bensi Vergese
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome-Medical Research Council (MRC) Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- NIHR Cambridge Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Miriam Smith
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome-Medical Research Council (MRC) Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Elana Henning
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome-Medical Research Council (MRC) Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Isobel D Ramsay
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
- Department of Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jack A Smith
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | | | | | - Iain M Hay
- Babraham Institute, Babraham Research Campus, Cambridge, UK
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | - Sam Thompson
- Babraham Institute, Babraham Research Campus, Cambridge, UK
| | | | - Lucy H Booth
- MRC Toxicology Unit, University of Cambridge, Cambridge, UK
| | - Chris Robertson
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK
| | - Colin McCowan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Steven Kerr
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | | | | | | | | | - Maria A Rust
- MRC Toxicology Unit, University of Cambridge, Cambridge, UK
| | - Alex Ferreira
- MRC Toxicology Unit, University of Cambridge, Cambridge, UK
| | - Soraya Ebrahimi
- Immunology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Clinical Biochemistry, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Lourdes Ceron-Gutierrez
- Immunology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Clinical Biochemistry, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jacopo Scotucci
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome-Medical Research Council (MRC) Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Barbara Kronsteiner
- Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Susanna J Dunachie
- Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
- NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
- Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
- NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Adrian J Park
- Clinical Biochemistry, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Francesco Rubino
- Department of Diabetes, King's College London and King's College Hospital NHS Foundation Trust, London, UK
| | - Abigail A Lamikanra
- NHS Blood and Transplant, Oxford, UK
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Hannah Stark
- NIHR BioResource, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Nathalie Kingston
- NIHR BioResource, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Lise Estcourt
- NHS Blood and Transplant, Oxford, UK
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | | | - David J Roberts
- NHS Blood and Transplant, Oxford, UK
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Rainer Doffinger
- Immunology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Clinical Biochemistry, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Nicholas J Matheson
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
- Department of Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- NHS Blood and Transplant, Cambridge, UK
| | - Aziz Sheikh
- Usher Institute, University of Edinburgh, Edinburgh, UK.
| | - I Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome-Medical Research Council (MRC) Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
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Roushani J, Thomas D, Oliver MJ, Ip J, Yeung A, Tang Y, Brimble KS, Levin A, Hladunewich MA, Cooper R, Blake PG. Clinical Outcomes and Vaccine Effectiveness for SARS-CoV-2 Infection in People Attending Advanced CKD Clinics: A Retrospective Provincial Cohort Study. Clin J Am Soc Nephrol 2023; 18:465-474. [PMID: 36795940 PMCID: PMC10103334 DOI: 10.2215/cjn.0000000000000087] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 01/05/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND People with advanced CKD are at high risk of mortality and morbidity from coronavirus disease 2019 (COVID-19). We measured rates of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severe outcomes in a large population attending advanced CKD clinics during the first 21 months of the pandemic. We examined risk factors for infection and case fatality, and we assessed vaccine effectiveness in this population. METHODS In this retrospective cohort study, we analyzed data on demographics, diagnosed SARS-CoV-2 infection rates, outcomes, and associated risk factors, including vaccine effectiveness, for people attending a province-wide network of advanced CKD clinics during the first four waves of the pandemic in Ontario, Canada. RESULTS In a population of 20,235 patients with advanced CKD, 607 were diagnosed with SARS-CoV-2 infection over 21 months. The case fatality rate at 30 days was 19% overall but declined from 29% in the first wave to 14% in the fourth. Hospitalization and intensive care unit (ICU) admission rates were 41% and 12%, respectively, and 4% started long-term dialysis within 90 days. Significant risk factors for diagnosed infection on multivariable analysis included lower eGFR, higher Charlson Comorbidity Index, attending advanced CKD clinics for more than 2 years, non-White ethnicity, lower income, living in the Greater Toronto Area, and long-term care home residency. Being doubly vaccinated was associated with lower 30-day case fatality rate (odds ratio [OR], 0.11; 95% confidence interval [CI], 0.03 to 0.52). Older age (OR, 1.06 per year; 95% CI, 1.04 to 1.08) and higher Charlson Comorbidity Index (OR, 1.11 per unit; 95% CI, 1.01 to 1.23) were associated with higher 30-day case fatality rate. CONCLUSIONS People attending advanced CKD clinics and diagnosed with SARS-CoV-2 infection in the first 21 months of the pandemic had high case fatality and hospitalization rates. Fatality rates were significantly lower in those who were doubly vaccinated. PODCAST This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_04_10_CJN10560922.mp3.
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Affiliation(s)
- Jian Roushani
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Doneal Thomas
- Ontario Renal Network, Ontario Health, Toronto, Ontario, Canada
| | - Matthew J. Oliver
- Ontario Renal Network, Ontario Health, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jane Ip
- Ontario Renal Network, Ontario Health, Toronto, Ontario, Canada
| | - Angie Yeung
- Ontario Renal Network, Ontario Health, Toronto, Ontario, Canada
| | - Yiwen Tang
- Ontario Renal Network, Ontario Health, Toronto, Ontario, Canada
| | - Kenneth Scott Brimble
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Ontario Renal Network, Ontario Health, Toronto, Ontario, Canada
| | - Adeera Levin
- British Columbia Provincial Renal Agency, Vancouver, British Columbia, Canada
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Michelle A. Hladunewich
- Ontario Renal Network, Ontario Health, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Rebecca Cooper
- Ontario Renal Network, Ontario Health, Toronto, Ontario, Canada
| | - Peter G. Blake
- Ontario Renal Network, Ontario Health, Toronto, Ontario, Canada
- Division of Nephrology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
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Hsiao LL, Shah KM, Liew A, Abdellatif D, Balducci A, Haris Á, Kumaraswami LA, Liakopoulos V, Lui SF, Ulasi I, Langham RG. Kidney health for all: preparedness for the unexpected in supporting the vulnerable. Kidney Int 2023; 103:436-443. [PMID: 36822747 DOI: 10.1016/j.kint.2022.12.013] [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: 11/04/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 02/23/2023]
Abstract
As the rate of natural disasters and other devastating events caused by human activities increases, the burden on the health and well-being of those affected by kidney disease has been immeasurable. Health system preparedness, which involves creating a resilient system that is able to deal with the health needs of the entire community during times of unexpected disruptions to usual care, has become globally important. In the wake of the COVID-19 pandemic, there is a heightened awareness of the amplification of negative effects on the renal community. Paradoxically, the complex medical needs of those who have kidney diseases are not met by systems handling crises, often compounded by an acute increase in burden via new patients as a result of the crisis itself. Disruptions in kidney care as a result of unexpected events are becoming more prevalent and likely to increase in the years to come. It is therefore only appropriate that the theme for this year's World Kidney Day will focus on Kidney Health for All: preparedness for the unexpected in supporting the vulnerable.
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Affiliation(s)
- Li-Li Hsiao
- Renal Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
| | - Kavya M Shah
- Renal Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Adrian Liew
- Department of Renal Medicine, Mount Elizabeth Novena Hospital, Singapore
| | - Dina Abdellatif
- Department of Nephrology, Cairo University Hospital, Cairo, Egypt
| | | | - Ágnes Haris
- Nephrology Department, Péterfy Hospital, Budapest, Hungary
| | - Latha A Kumaraswami
- Tamilnad Kidney Research (TANKER) Foundation, The International Federation of Kidney Foundations-World Kidney Alliance (IFKF-WKA), Chennai, India
| | - Vassilios Liakopoulos
- Division of Nephrology and Hypertension, 1st Department of Internal Medicine, AHEPA Hospital Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Siu-Fai Lui
- International Federation of Kidney Foundations-World Kidney Alliance, Hong Kong, China; The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Ifeoma Ulasi
- Department of Medicine, College of Medicine, University of Nigeria/University of Nigeria Teaching Hospital, Ituku-Ozalla, Enugu, Nigeria
| | - Robyn G Langham
- Department of Medicine, St. Vincent's Hospital, University of Melbourne, Melbourne, Victoria, Australia
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Dashtban A, Mizani MA, Pasea L, Denaxas S, Corbett R, Mamza JB, Gao H, Morris T, Hemingway H, Banerjee A. Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals. EBioMedicine 2023; 89:104489. [PMID: 36857859 PMCID: PMC9989643 DOI: 10.1016/j.ebiom.2023.104489] [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: 11/05/2022] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Although chronic kidney disease (CKD) is associated with high multimorbidity, polypharmacy, morbidity and mortality, existing classification systems (mild to severe, usually based on estimated glomerular filtration rate, proteinuria or urine albumin-creatinine ratio) and risk prediction models largely ignore the complexity of CKD, its risk factors and its outcomes. Improved subtype definition could improve prediction of outcomes and inform effective interventions. METHODS We analysed individuals ≥18 years with incident and prevalent CKD (n = 350,067 and 195,422 respectively) from a population-based electronic health record resource (2006-2020; Clinical Practice Research Datalink, CPRD). We included factors (n = 264 with 2670 derived variables), e.g. demography, history, examination, blood laboratory values and medications. Using a published framework, we identified subtypes through seven unsupervised machine learning (ML) methods (K-means, Diana, HC, Fanny, PAM, Clara, Model-based) with 66 (of 2670) variables in each dataset. We evaluated subtypes for: (i) internal validity (within dataset, across methods); (ii) prognostic validity (predictive accuracy for 5-year all-cause mortality and admissions); and (iii) medications (new and existing by British National Formulary chapter). FINDINGS After identifying five clusters across seven approaches, we labelled CKD subtypes: 1. Early-onset, 2. Late-onset, 3. Cancer, 4. Metabolic, and 5. Cardiometabolic. Internal validity: We trained a high performing model (using XGBoost) that could predict disease subtypes with 95% accuracy for incident and prevalent CKD (Sensitivity: 0.81-0.98, F1 score:0.84-0.97). Prognostic validity: 5-year all-cause mortality, hospital admissions, and incidence of new chronic diseases differed across CKD subtypes. The 5-year risk of mortality and admissions in the overall incident CKD population were highest in cardiometabolic subtype: 43.3% (42.3-42.8%) and 29.5% (29.1-30.0%), respectively, and lowest in the early-onset subtype: 5.7% (5.5-5.9%) and 18.7% (18.4-19.1%). MEDICATIONS Across CKD subtypes, the distribution of prescription medication classes at baseline varied, with highest medication burden in cardiometabolic and metabolic subtypes, and higher burden in prevalent than incident CKD. INTERPRETATION In the largest CKD study using ML, to-date, we identified five distinct subtypes in individuals with incident and prevalent CKD. These subtypes have relevance to study of aetiology, therapeutics and risk prediction. FUNDING AstraZeneca UK Ltd, Health Data Research UK.
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Affiliation(s)
- Ashkan Dashtban
- Institute of Health Informatics, University College London, London, UK
| | - Mehrdad A Mizani
- Institute of Health Informatics, University College London, London, UK; British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - Laura Pasea
- Institute of Health Informatics, University College London, London, UK
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, UK
| | | | - Jil B Mamza
- Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca, London, UK
| | - He Gao
- Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca, London, UK
| | - Tamsin Morris
- Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca, London, UK
| | - Harry Hemingway
- Institute of Health Informatics, University College London, London, UK; Health Data Research UK, University College London, London, UK
| | - Amitava Banerjee
- Institute of Health Informatics, University College London, London, UK; Barts Health NHS Trust, London, UK; University College London Hospitals NHS Trust, London, UK.
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11
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Geetha D, Kronbichler A, Rutter M, Bajpai D, Menez S, Weissenbacher A, Anand S, Lin E, Carlson N, Sozio S, Fowler K, Bignall R, Ducharlet K, Tannor EK, Wijewickrama E, Hafidz MIA, Tesar V, Hoover R, Crews D, Varnell C, Danziger-Isakov L, Jha V, Mohan S, Parikh C, Luyckx V. Impact of the COVID-19 pandemic on the kidney community: lessons learned and future directions. Nat Rev Nephrol 2022; 18:724-737. [PMID: 36002770 PMCID: PMC9400561 DOI: 10.1038/s41581-022-00618-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2022] [Indexed: 12/15/2022]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has disproportionately affected patients with kidney disease, causing significant challenges in disease management, kidney research and trainee education. For patients, increased infection risk and disease severity, often complicated by acute kidney injury, have contributed to high mortality. Clinicians were faced with high clinical demands, resource shortages and novel ethical dilemmas in providing patient care. In this review, we address the impact of COVID-19 on the entire spectrum of kidney care, including acute kidney injury, chronic kidney disease, dialysis and transplantation, trainee education, disparities in health care, changes in health care policies, moral distress and the patient perspective. Based on current evidence, we provide a framework for the management and support of patients with kidney disease, infection mitigation strategies, resource allocation and support systems for the nephrology workforce.
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Affiliation(s)
- Duvuru Geetha
- Department of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
| | | | - Megan Rutter
- Department of Lifespan and Population Health, University of Nottingham, Nottingham, UK
| | - Divya Bajpai
- Department of Nephrology, Seth Gordhandas Sunderdas Medical College (GSMC) and the King Edward Memorial (KEM) Hospital, Mumbai, India
| | - Steven Menez
- Department of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Annemarie Weissenbacher
- Department of Visceral, Transplant and Thoracic Surgery, Center of Operative Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Shuchi Anand
- Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Standford, California, USA
| | - Eugene Lin
- Department of Internal Medicine, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
- Leonard D. Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles, California, USA
| | - Nicholas Carlson
- Department of Nephrology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Research, The Danish Heart Foundation, Copenhagen, Denmark
| | - Stephen Sozio
- Department of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kevin Fowler
- Principal, Voice of the Patient Inc, St. Louis, Missouri, USA
| | - Ray Bignall
- Division of Nephrology and Hypertension, Nationwide Children's Hospital and Department of Paediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Kathryn Ducharlet
- Department of Renal Medicine, Eastern Health Clinical School, Monash University, Melbourne, Australia
- Department of Nephrology and Palliative Care, St Vincent's Hospital Melbourne, Australia and Department of Medicine, University of Melbourne, Parkville, Australia
| | - Elliot K Tannor
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Renal Unit, Komfo Anokye Teaching Hospital, Kumasi, Ghana
| | - Eranga Wijewickrama
- Consultant Nephrologist and Professor in the Department of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
- University Medical Unit, National Hospital of Sri Lanka and National Institute of Nephrology, Dialysis & Transplantation, Colombo, Sri Lanka
| | | | - Vladimir Tesar
- Department of Nephrology, Charles University, Prague, Czech Republic
| | - Robert Hoover
- Deming Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Deidra Crews
- Department of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Charles Varnell
- Division of Nephrology & Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Paediatrics, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA
| | - Lara Danziger-Isakov
- Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio, USA
| | - Vivekanand Jha
- George Institute for Global Health, New Delhi, India
- School of Public Health, Imperial College, London, UK
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons and the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Chirag Parikh
- Department of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Valerie Luyckx
- Associate Scientist, Renal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
- Honorary Associate Professor, Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa
- Nephrologist, University Childrens Hospital, Zurich, Switzerland
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12
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Effects of Selenium on Chronic Kidney Disease: A Mendelian Randomization Study. Nutrients 2022; 14:nu14214458. [PMID: 36364721 PMCID: PMC9654848 DOI: 10.3390/nu14214458] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/18/2022] [Accepted: 10/21/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Previous observational studies have shown that there is a controversial association between selenium levels and chronic kidney disease (CKD). Our aim was to assess the causal relationship between selenium levels and CKD using Mendelian randomization (MR) analysis. METHODS We used the two-sample Mendelian randomization (MR) method to analyze the causal role of selenium levels on CKD risk. The variants associated with selenium levels were extracted from a large genome-wide association study (GWAS) meta-analysis of circulating selenium levels (n = 5477) and toenail selenium levels (n = 4162) in the European population. Outcome data were from the largest GWAS meta-analysis of European-ancestry participants for kidney function to date. Inverse variance weighted (IVW) method was used as the main analysis and a series of sensitivity analyses were carried out to detect potential violations of MR assumptions. RESULTS The MR analysis results indicate that the genetically predicted selenium levels were associated with decreased estimated glomerular filtration (eGFR) (effect = -0.0042, 95% confidence interval [CI]: -0.0053-0.0031, p = 2.186 × 10-13) and increased blood urea nitrogen (BUN) (effect = 0.0029, 95% confidence interval [CI]: 0.0006-0.0052, p = 0.0136) with no pleiotropy detected. CONCLUSIONS The MR study indicated that an increased level of selenium is a causative factor for kidney function impairment.
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13
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Guo R, Zhou Y, Lin F, Li M, Tan C, Xu B. A novel gene signature based on the hub genes of COVID-19 predicts the prognosis of idiopathic pulmonary fibrosis. Front Pharmacol 2022; 13:981604. [PMID: 36147332 PMCID: PMC9489050 DOI: 10.3389/fphar.2022.981604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Increasing evidence has demonstrated that there was a strong correlation between COVID-19 and idiopathic pulmonary fibrosis (IPF). However, the studies are limited, and the real biological mechanisms behind the IPF progression were still uncleared.Methods: GSE70866 and GSE 157103 datasets were downloaded. The weight gene co-expression network analysis (WGCNA) algorithms were conducted to identify the most correlated gene module with COVID-19. Then the genes were extracted to construct a risk signature in IPF patients by performing Univariate and Lasso Cox Regression analysis. Univariate and Multivariate Cox Regression analyses were used to identify the independent value for predicting the prognosis of IPF patients. What’s more, the Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and gene set enrichment analysis (GSEA) were conducted to unveil the potential biological pathways. CIBERSORT algorithms were performed to calculate the correlation between the risk score and immune cells infiltrating levels.Results: Two hundred thirty three differentially expressed genes were calculated as the hub genes in COVID-19. Fourteen of these genes were identified as the prognostic differentially expressed genes in IPF. Three (MET, UCHL1, and IGF1) of the fourteen genes were chosen to construct the risk signature. The risk signature can greatly predict the prognosis of high-risk and low-risk groups based on the calculated risk score. The functional pathway enrichment analysis and immune infiltrating analysis showed that the risk signature may regulate the immune-related pathways and immune cells.Conclusion: We identified prognostic differentially expressed hub genes related to COVID-19 in IPF. A risk signature was constructed based on those genes and showed great value for predicting the prognosis in IPF patients. What’s more, three genes in the risk signature may be clinically valuable as potential targets for treating IPF patients and IPF patients with COVID-19.
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Affiliation(s)
- Run Guo
- Department of Respiratory Medicine, Beijing Friendship Hospital of Capital Medical University, Beijing, China
| | - Yuefei Zhou
- Department of Orthopedics Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Fang Lin
- Department of Respiratory Medicine, Beijing Friendship Hospital of Capital Medical University, Beijing, China
| | - Mengxing Li
- Department of Respiratory Medicine, Beijing Friendship Hospital of Capital Medical University, Beijing, China
| | - Chunting Tan
- Department of Respiratory Medicine, Beijing Friendship Hospital of Capital Medical University, Beijing, China
- *Correspondence: Chunting Tan, ; Bo Xu,
| | - Bo Xu
- Department of Respiratory Medicine, Beijing Friendship Hospital of Capital Medical University, Beijing, China
- *Correspondence: Chunting Tan, ; Bo Xu,
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