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Research Article
Fateme Shamekhi Amiri
National Tehran of University Medical Sciences
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Declarations:
Declarations
- The author has confirmed that a statement listing potential conflicts of interest or lack thereof is included in the text.
Background: The pneumonia caused by the 2019 novel coronavirus (SARS-CoV-2) is a highly infectious disease that causes lethal disease and multiorgan failure. The aim of this research is to investigate association between covid-19 infection and kidney dysfunction.
Methods and materials: In this retrospective study, sixty-eight patients with kidney dysfunction and covid-19 infection were investigated. Clinical features, laboratory data at initial presentation, management and outcomes were collected.The paper has written based on searching PubMed Central and Google Scholar to identify potentially relevant articles. Median, percentage, mean ± standard deviation (SD), two-tailed t and chi-square and Cohen᾽s-d tests were used for statistical analyses. Moreover, relative risk, odds ratio, pearson᾽s correlation for statistical analyses were used.
Results: The average age of patients at time of diagnosis in covid-19 nephropathy was 52.04 ± 14.42 years (ranging from 24 years to 88 years). There was not statistical significance correlation between lymphocytopenia and serum creatinine (SCr) in covid-19 nephropathy (R2=0.063; p-value= 0.33). Effect size of elevated IL-6 on decreased estimated glomerular filtration rate (eGFR) in covid-19 nephropathy was assessed 0.656 (medium effect size). Relative risk and odds ratio of acute kidney disease (AKD) in covid-19 nephropathy were assessed 0.57 and 0.4, respectively (p-value: 0.422). Correlation between SCr changes and time of emergent AKI (acute kidney injury), AKD and chronic kidney disease (CKD) was assessed with R2 of 0.0003 and p-value of 0.94 (not significant).
Conclusion: The present study revealed medium effect size of elevated IL-6 on decreased eGFR. Future clinical research is required for investigating novel unknown findings in covid-19 nephropathy.
Keywords
covid-19 nephropathy, cytokine, kidney failure, lymphocytopenia, n-Covid-19 virus
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Figure 8
This is a list of supplementary files associated with this preprint. Click to download.
- TableS1a.docx
Table S1a. JBI critical appraisal tool for case reports in included articles of covid-19 nephropathy case reports in the present study.
- TableS1b.docx
Table S1b. Continued.
- TableS1c.docx
Table S1c. Continued.
- TableS1d.docx
Table S1d. Continued.
- TableS2.docx
Table S2. Baseline demographic characteristics in Covid-19 nephropathy.
- TableS3a.docx
Table S3a. Raw data of symptoms in patients with covid-19 nephropathy.
- TableS3b.docx
Table S3b. Continued.
- TableS3c.docx
Table S3c. Continued.
- TableS3d.docx
Table S3d. Continued.
- TableS3e.docx
Table S3e. Continued.
- TableS3f.docx
Table S3f. Continued.
- TableS3g.docx
Table S3g. Continued.
- TableS4a.docx
Table S4a. Raw data of signs in patients with covid-19 nephropathy.
- TableS4b.docx
Table S4b. Continued.
- TableS5a.docx
Table S5a. Raw data of laboratory findings in covid-19 nephropathy.
- TableS5b.docx
Table S5b. Continued.
- TableS5c.docx
Table S5c. Continued.
- TableS5d.docx
Table S5d. Continued.
- TableS5e.docx
Table S5e. Continued.
- TableS5f.docx
Table S5f. Continued.
- TableS5g.docx
Table S5g. Continued.
- TableS5h.docx
Table S5h. Continued.
- TableS5i.docx
Table S5i. Continued.
- TableS5l.docx
Table S5l. Continued.
- TableS5m.docx
Table S5m. Continued.
- TableS5n.docx
Table S5n. Continued.
- TableS5o.docx
Table S5o. Continued.
- TableS6.docx
Table S6. Raw data of imaginary modalities in patients with covid-19 nephropathy.
- TableS7a.docx
Table S7a. Raw data of therapeutic modalities of patients with covid-19 nephropathy.
- TableS7b.docx
Table S7b. Continued.
- TableS7c.docx
Table S7c. Continued.
- TableS7d.docx
Table S7d. Continued.
- TableS7e.docx
Table S7e. Continued.
- TableS7f.docx
Table S7f. Continued.
- TableS7g.docx
Table S7g. Continued.
- TableS7m.docx
Table S7m. Continued.
- TableS7n.docx
Table S7n. Continued.
- TableS8a.docx
Table S8a. Raw data of patient᾽s characteristics during follow up in covid-19 nephropathy.
- TableS8b.docx
Table S8b. Continued.
- TableS8c.docx
Table S8c. Continued.
- TableS8d.docx
Table S8d. Continued.
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Fateme Shamekhi Amiri
National Tehran of University Medical Sciences
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
The most recent version of this article is available here.
No community comments so far
Version 1
Posted 28 Aug, 2020
No comments provided
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Urology & Nephrology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Declarations:
Declarations
- The author has confirmed that a statement listing potential conflicts of interest or lack thereof is included in the text.
The most recent version of this article is available here.
Background: The pneumonia caused by the 2019 novel coronavirus (SARS-CoV-2) is a highly infectious disease that causes lethal disease and multiorgan failure. The aim of this research is to investigate association between covid-19 infection and kidney dysfunction.
Methods and materials: In this retrospective study, sixty-eight patients with kidney dysfunction and covid-19 infection were investigated. Clinical features, laboratory data at initial presentation, management and outcomes were collected.The paper has written based on searching PubMed Central and Google Scholar to identify potentially relevant articles. Median, percentage, mean ± standard deviation (SD), two-tailed t and chi-square and Cohen᾽s-d tests were used for statistical analyses. Moreover, relative risk, odds ratio, pearson᾽s correlation for statistical analyses were used.
Results: The average age of patients at time of diagnosis in covid-19 nephropathy was 52.04 ± 14.42 years (ranging from 24 years to 88 years). There was not statistical significance correlation between lymphocytopenia and serum creatinine (SCr) in covid-19 nephropathy (R2=0.063; p-value= 0.33). Effect size of elevated IL-6 on decreased estimated glomerular filtration rate (eGFR) in covid-19 nephropathy was assessed 0.656 (medium effect size). Relative risk and odds ratio of acute kidney disease (AKD) in covid-19 nephropathy were assessed 0.57 and 0.4, respectively (p-value: 0.422). Correlation between SCr changes and time of emergent AKI (acute kidney injury), AKD and chronic kidney disease (CKD) was assessed with R2 of 0.0003 and p-value of 0.94 (not significant).
Conclusion: The present study revealed medium effect size of elevated IL-6 on decreased eGFR. Future clinical research is required for investigating novel unknown findings in covid-19 nephropathy.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
This is a list of supplementary files associated with this preprint. Click to download.
- TableS1a.docx
Table S1a. JBI critical appraisal tool for case reports in included articles of covid-19 nephropathy case reports in the present study.
- TableS1b.docx
Table S1b. Continued.
- TableS1c.docx
Table S1c. Continued.
- TableS1d.docx
Table S1d. Continued.
- TableS2.docx
Table S2. Baseline demographic characteristics in Covid-19 nephropathy.
- TableS3a.docx
Table S3a. Raw data of symptoms in patients with covid-19 nephropathy.
- TableS3b.docx
Table S3b. Continued.
- TableS3c.docx
Table S3c. Continued.
- TableS3d.docx
Table S3d. Continued.
- TableS3e.docx
Table S3e. Continued.
- TableS3f.docx
Table S3f. Continued.
- TableS3g.docx
Table S3g. Continued.
- TableS4a.docx
Table S4a. Raw data of signs in patients with covid-19 nephropathy.
- TableS4b.docx
Table S4b. Continued.
- TableS5a.docx
Table S5a. Raw data of laboratory findings in covid-19 nephropathy.
- TableS5b.docx
Table S5b. Continued.
- TableS5c.docx
Table S5c. Continued.
- TableS5d.docx
Table S5d. Continued.
- TableS5e.docx
Table S5e. Continued.
- TableS5f.docx
Table S5f. Continued.
- TableS5g.docx
Table S5g. Continued.
- TableS5h.docx
Table S5h. Continued.
- TableS5i.docx
Table S5i. Continued.
- TableS5l.docx
Table S5l. Continued.
- TableS5m.docx
Table S5m. Continued.
- TableS5n.docx
Table S5n. Continued.
- TableS5o.docx
Table S5o. Continued.
- TableS6.docx
Table S6. Raw data of imaginary modalities in patients with covid-19 nephropathy.
- TableS7a.docx
Table S7a. Raw data of therapeutic modalities of patients with covid-19 nephropathy.
- TableS7b.docx
Table S7b. Continued.
- TableS7c.docx
Table S7c. Continued.
- TableS7d.docx
Table S7d. Continued.
- TableS7e.docx
Table S7e. Continued.
- TableS7f.docx
Table S7f. Continued.
- TableS7g.docx
Table S7g. Continued.
- TableS7m.docx
Table S7m. Continued.
- TableS7n.docx
Table S7n. Continued.
- TableS8a.docx
Table S8a. Raw data of patient᾽s characteristics during follow up in covid-19 nephropathy.
- TableS8b.docx
Table S8b. Continued.
- TableS8c.docx
Table S8c. Continued.
- TableS8d.docx
Table S8d. Continued.
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