Acute Kidney Injury Risk in COVID-19

NCT ID: NCT04874779

Last Updated: 2021-07-23

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

83 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-06-08

Study Completion Date

2021-05-01

Brief Summary

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Background. Within a year, COVID-19 has advanced from being an outbreak to a pandemic, spreading rapidly and globally with devastating impact. Currently, there is an ongoing debate among scientists about the pathophysiological relationship between COVID-19 and acute kidney injury (AKI). While a few studies have concluded that the mechanisms of AKI in COVID-19 patients are seemingly multifactorial and have not been fully explicated, others asserted that AKI remains rare among COVID-19-related diseases. Considering this knowledge-gap and its potential impact on the management of COVID-19-associated AKI, our study aims to explore the prevalence of AKI and to identify possible risk factors associated with AKI development among COVID-19 hospitalized patients. Materials and Methods. This retrospective cohort study included 83 patients with COVID-19 hospitalized at AL-AHRAR Hospital, Zagazig, Egypt, between June and August,2020. Exclusion criteria were: patients younger than 18 years of age; diagnosed with end stage kidney disease; placed on maintenance dialysis; booked for a kidney transplant or on nephrotoxic medications. All patients included in the study underwent complete blood count; liver and renal function tests; examination of hemostasis parameters; inflammatory markers; serum electrolytes; routine urinalysis; arterial blood gas and non-enhanced chest and abdominal computer tomography (CT) scans

Detailed Description

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2.1. Study design and participants. Retrospective observational single-center study, including (83) laboratory-confirmed COVID-19 patients (age ≥ 18 years), hospitalized and isolated in the medical departments of AL-AHRAR Hospital, Zagazig, Egypt, from June 23 to August 29, 2020. All patients were isolated in the medical departments. None of them were admitted to the ICU or underwent mechanical ventilation. According to the WHO guidelines, a confirmed diagnosis of COVID-19 was defined as a positive result of a quantitative real-time reverse-transcriptase-polymerase chain reaction (RT-PCR) detection in a nasopharyngeal swab. (9) We excluded the following from this study: patients younger than 18 years, patients diagnosed with chronic kidney disease before admission, patients on maintenance dialysis or awaiting renal transplantation and patients taking any nephrotoxic medications a week prior to admission.

2.2. Data collection. The patients' medical history, underlying diseases, medications administered at home and in hospital, laboratory data, non-enhanced chest and abdominal computer tomography (CT) scans, were retrieved from electronic medical records. According to the Ministry of Health and Population (MOHP), Egypt Management protocol for COVID-19 Patients, version 1.4, 30th May,2020, (10), all patients received standard of care treatment including: (a) oxygen supply to achieve SaO2 ≥ 90%; (b) Hydroxychloroquine (400 mg twice in first day then 200 mg twice for 6 days); (C) Vitamin C (1gm daily); (d) Zinc (50mg daily); (e) Acetylcysteine 200 mg t.d.s.; (f) lactoferrin one sachet twice daily; (g) Anticoagulation if D-dimer \> 1000.

2.3. Molecular detection of SARS-CoV-2 (RT-PCR). SARS-CoV-2 real-time reverse transcription polymerase chain reaction (RT-PCR) testing was performed on nasopharyngeal swabs using Thermofisher SCIENTIFIC's TaqPathTM COVID 19 CE IVD RT PCR Kit, 1000 reactions (Cat. No. A48067). The QUIAGEN extraction kit was used to extract viral RNA. Using Quick Dx Applied Biosystems 7500 real-time PCR instruments, the purified nucleic acid was reverse transcribed into cDNA and amplified using the TaqPathTM COVID 19 RT PCR Kit in one stage. Probes annealed to three unique SARS-CoV-2 target sequences: ORF1ab, nucleocapsid (N), and spike (S) primers/probes for bacteriophage MS2. The result was deemed null because two of the three genes and the MS2 (positive control) were all positive. COVID-19 was diagnosed whenever a positive real-time RT-PCR result was identified.

2.4. Laboratory procedures. Laboratory data included complete blood count by automated blood counter, liver and renal function tests by colorimetric method, examination of hemostasis parameters, inflammatory markers, serum Na, Serum K, serum Ca, urine dipstick test and arterial blood gas analysis.

2.5. Definitions. Acute kidney injury (AKI) was identified according to the guidelines of Kidney Disease Improving Global Outcomes (KDIGO). It is defined as any of the following: (I) an S.cr increase ≥0.3 mg/dL (≥26.5 μmol/L) within 48 h; or (II) an S.cr increase to ≥1.5 times baseline within the previous 7 days; or (III) a urine volume ≤0.5 mL/kg/h for 6 h. AKI is staged for severity according to the criteria presented in Table (1). (11) Urine output criteria were not used consistently for the diagnosis of AKI due to a lack of daily urine measurement in the electronic chart.

The Sequential Organ Failure Assessment (SOFA) score was developed as a morbidity severity score to focus on organ dysfunction, which can reliably predict disease severity and outcome. It includes 6 variables, each representing an organ system presented in Table (2). (12) Statistical Analyses. The SPSS software, version 26, was used for statistical analysis. ANOVA and univariate logistic regression analysis \[odds ratio (OR) and 95% confidence intervals (CI)\] were performed (significance level: P \< 0.05).

Ethics statement. In order to maintain and ascertain the rights of patients without jeopardizing their privacy and confidentiality, informed verbal consents, in lieu of written informed consents, were obtained directly from all patients or their relatives. The requirements to obtain written informed consents were not attainable due to the inherent hazardous and contagious nature of COVID-19 epidemic, the strict restrictions by the hospital management, and the urgency of collecting the data.

Conditions

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Sever Acute Respiratory Syndrome and Acute Kidney Injury Acute Kidney Injury

Study Design

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Observational Model Type

COHORT

Study Time Perspective

OTHER

Study Groups

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Acute kidney injury (AKI) group

Acute kidney injury (AKI) group met the guidelines of Kidney Disease, Improving Global Outcomes (KDIGO)

non

Intervention Type OTHER

follow up investigations

NON-Acute kidney injury (non-AKI) group

NON-Acute kidney injury (non-AKI) group not met the guidelines of Kidney Disease Improving Global Outcomes (KDIGO)

non

Intervention Type OTHER

follow up investigations

Interventions

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non

follow up investigations

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

According to the WHO guidelines, a confirmed diagnosis of COVID-19 was defined as a positive result of a quantitative real-time reverse-transcriptase-polymerase chain reaction (RT-PCR) detection in a nasopharyngeal swab.

Exclusion Criteria

patients younger than 18 years, patients diagnosed with chronic kidney disease before admission, patients on maintenance dialysis or awaiting renal transplantation and patients taking any nephrotoxic medications a week prior to admission
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Ha'il , Saudi Arabia.

UNKNOWN

Sponsor Role collaborator

Zagazig University

OTHER_GOV

Sponsor Role lead

Responsible Party

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Mohamed E Ghoniem

Clinical Professor - Associate Professor of Internal Medicine- Faculty of Medicine

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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mohamed ghonim

Role: PRINCIPAL_INVESTIGATOR

Associate professor of Internal Medicine , faculty of medicine, Zagazig University

Locations

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Faculty of Medicine -Zagazig University

Zagazig, , Egypt

Site Status

Countries

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Egypt

Other Identifiers

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COVID-1927

Identifier Type: -

Identifier Source: org_study_id

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