| Literature DB >> 34112226 |
Meint Volbeda1, Daniela Jou-Valencia1, Marius C van den Heuvel2, Marjolein Knoester3, Peter J Zwiers4, Janesh Pillay1, Stefan P Berger5, Peter H J van der Voort1, Jan G Zijlstra1,4, Matijs van Meurs1,4, Jill Moser6,7.
Abstract
BACKGROUND: The mechanisms driving acute kidney injury (AKI) in critically ill COVID-19 patients are unclear. We collected kidney biopsies from COVID-19 AKI patients within 30 min after death in order to examine the histopathology and perform mRNA expression analysis of genes associated with renal injury.Entities:
Keywords: Acute kidney injury; Bacterial sepsis; COVID-19
Mesh:
Year: 2021 PMID: 34112226 PMCID: PMC8190989 DOI: 10.1186/s13054-021-03631-4
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Fig. 2a Renal histopathology findings in postmortem biopsies from bacterial sepsis and COVID-19 patients. Histopathology was scored using the scoring system described in Additional file 1: Table S1. b Quantification of acute tubular necrosis (ATN) morphology and ATN extensiveness in bacterial sepsis (n = 27) and COVID-19 patients (n = 6). c Representative Martius Scarlett Blue histochemical staining of kidney biopsies from bacterial sepsis and COVID-19 patients. Representative images were
taken from randomly selected patients. Arrows indicate microthrombi. Original magnification × 400
Patient characteristics
| Control ( | Sepsis ( | COVID-19 ( | |
|---|---|---|---|
| Age | 59 (20–79) | 67 (40–85) | 65 (49–78) |
| Male:female | 5:7 | 17:10 | 4:2 |
| SAPS II score | n/a | 68.8 (35–99) | |
| BMI (kg/m2) | 26.9 (20.8–49) | 30.8 (26–37) | |
| Normal weight (BMI 18.5–24.9) | 9 | 0 | |
| Overweight (BMI 25–29.9) | 14 | 3 | |
| Obese (BMI > 30) | 4 | 3 | |
| Days in ICU | n/a | 3.6 (1–12) | 30 (21–53) |
| Comorbidities | |||
| Hypertension | 3 | 8 | 1 |
| Diabetes Mellitus | 1 | 3 | 2 |
| COPD or asthma | 4 | 7 | 0 |
| Coronary disease | 1 | 5 | 0 |
| Neurological | 1 | 3 | 0 |
| Renal disease | 0 | 0 | 0 |
| Vascular surgery | 0 | 2 | 0 |
| Autoimmune disease | 2 | 4 | 0 |
| Neoplasms (extra renal) | 4 | 4 | 0 |
| RIFLE stage | |||
| Risk | n/a | 0 | n/a |
| Injury | n/a | 12 | n/a |
| Failure | n/a | 15 | n/a |
| Loss of function | n/a | 0 | n/a |
| End-stage renal disease | n/a | 0 | n/a |
| KDIGO AKI score | |||
| 0 | n/a | n/a | 1 |
| 1 | n/a | n/a | 0 |
| 2 | n/a | n/a | 0 |
| 3 | n/a | n/a | 5 |
| Need for RRT (Yes:no) | n/a | 12:15 | 4:2 |
| Mean biopsy time (mins) | n/a | 33 (24–150) | 21 (6–40) |
| Microorganisms | |||
| Gram positive | n/a | 12 | 3# |
| Gram negative | n/a | 23 | 1* |
| Virus (norovirus & HIV) | n/a | 2 | 0 |
| Fungi/yeast | n/a | 5 | 0 |
| SARS-CoV-2 | n/a | n/a | 6 |
ICU intensive care unit, SAPS II Simplified Acute Physiology Score II scoring system, BMI body mass index, RIFLE (risk, injury, failure, loss of kidney function, and end-stage kidney disease) classification, KDIGO AKI Kidney Disease Improving Global Outcomes acute kidney injury classification, RRT renal replacement therapy, COPD chronic obstructive pulmonary disease, HIV human immunodeficiency virus, SARS-CoV-2 severe acute respiratory syndrome coronavirus 2. n/a not applicable. Microorganisms were detected in either the sputum, blood, urine or abdominal fluid
*Multi-resistant pseudomonas in blood and sputum.
#CVL or ECLS cannula-related infection with a coagulase-negative staphylococci
Fig. 1Timeline of hospitalization and SARS-CoV-2 detection. Patients were admitted to the ICU directly or were first hospitalized and went to on to require ICU admission due to the development of severe respiratory failure. Most patients were admitted to the UMCG from a referral hospital. Oropharyngeal and nasopharyngeal swabs and sputum from patients were regularly tested for SARS-CoV-2 virus detection by rRT-PCR during their ICU stay. The presence of SARS-CoV-2 in postmortem lung and kidney biopsies was also determined by rRT-PCR. The cycle threshold (Ct) values are included, N = negative
Fig. 3Renal tissue ACE2 and CD147 mRNA levels in critically ill patients with COVID-19-associated AKI (SARS-CoV-2) (n = 6), bacterial sepsis-associated acute kidney injury (Sepsis) and control subjects (n = 12). Messenger RNA (mRNA) expression was determined by reverse transcription quantitative polymerase chain reaction using glyceraldehyde-3-phosphate dehydrogenase (GAPDH) as a housekeeping gene. **p < 0.01, ****p < 0.0001
Fig. 4a–h Renal mRNA levels of various genes in critically ill patients with COVID-19-associated AKI (SARS-CoV-2) (n = 6), bacterial sepsis-associated acute kidney injury (Sepsis) and control subjects (n = 12). Messenger RNA (mRNA) expression was determined by reverse transcription quantitative polymerase chain reaction using glyceraldehyde-3-phosphate dehydrogenase (GAPDH) as a housekeeping gene. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001