scholarly journals Urinary Levels of SARS-CoV-2 Nucleocapsid Protein Associate With Risk of AKI and COVID-19 Severity: A Single-Center Observational Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Désirée Tampe ◽  
Samy Hakroush ◽  
Mark-Sebastian Bösherz ◽  
Jonas Franz ◽  
Heike Hofmann-Winkler ◽  
...  

Background: Acute kidney injury (AKI) is very common in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) disease 2019 (COVID-19) and considered as a risk factor for COVID-19 severity. SARS-CoV-2 renal tropism has been observed in COVID-19 patients, suggesting that direct viral injury of the kidneys may contribute to AKI. We examined 20 adult cases with confirmed SARS-CoV-2 infection requiring ICU supportive care in a single-center prospective observational study and investigated whether urinary markers for viral infection (SARS-CoV-2 N) and shedded cellular membrane proteins (ACE2, TMPRSS2) allow identification of patients at risk for AKI and outcome of COVID-19.Objectives: The objective of the study was to evaluate whether urinary markers for viral infection (SARS-CoV-2 N) and shedded cellular membrane proteins (ACE2, TMPRSS2) allow identification of patients at risk for AKI and outcome of COVID-19.Results: Urinary SARS-CoV-2 N measured at ICU admission identified patients at risk for AKI in COVID-19 (HR 5.9, 95% CI 1.4–26, p = 0.0095). In addition, the combination of urinary SARS-CoV-2 N and plasma albumin measurements further improved the association with AKI (HR 11.4, 95% CI 2.7–48, p = 0.0016). Finally, combining urinary SARS-CoV-2 N and plasma albumin measurements associated with the length of ICU supportive care (HR 3.3, 95% CI 1.1–9.9, p = 0.0273) and premature death (HR 7.6, 95% CI 1.3–44, p = 0.0240). In contrast, urinary ACE2 and TMPRSS2 did not correlate with AKI in COVID-19.Conclusions: In conclusion, urinary SARS-CoV-2 N levels associate with risk for AKI and correlate with COVID-19 severity.

2013 ◽  
Vol 472 (5) ◽  
pp. 1409-1415 ◽  
Author(s):  
Patricia M. Lavand’homme ◽  
Irina Grosu ◽  
Marie-Noëlle France ◽  
Emmanuel Thienpont

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Björn Tampe ◽  
Samy Hakroush

Abstract Background and Aims Acute kidney injury (AKI) is very common in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) disease 2019 (COVID-19), particularlarly among patients requiring intensive care unit (ICU) supportive care and is considered as an independent risk factor for premature death. SARS-CoV-2 renal tropism and detection of SARS nucleocapsid protein (SARS-CoV-2 N) in renal tubules has been described in COVID-19 patients, suggesting that direct viral injury of the kidneys may contribute to AKI. SARS-CoV-2 renal tropism has been in part attributed to the intrarenal presence of cellular membrane proteins essential for viral entry including angiotensin converting enzyme 2 (ACE2) and transmembrane protease serine subtype 2 (TMPRSS2). Based on the assumption that renal injury is caused by direct viral infection of the kidneys, it remains unclear if markers for viral infection (SARS-CoV-2 N) and shedded cellular membrane proteins (ACE2, TMPRSS2) in urinary samples are useful for early identification of COVID-19 patients at risk for AKI. Method A single-center prospective observational study was carried out in adult cases with confirmed SARS-CoV-2 infection requiring ICU supportive care. Investigators were blinded to clinical data collection and urinary ELISA measurements. According to the manufacturer’s protocols, urinary levels of SARS-CoV-2 N (KIT40588, Sino Biological), human ACE2 (NBP2-78734, Novus Biologicals) and human TMPRSS2 (NBP2-89170, Novus Biologicals) were analyzed. Measurements were done in triplicates for each urinary sample and compared to the standard curve. Negative test results were declared as not detectable. Urinary levels of SARS-CoV-2 N, ACE2 and TMPRSS2 were analyzed at ICU admission and at day 3 and 8 during the further clinical course of severe COVID-19 for association with AKI and outcome of COVID-19. Results ROC analysis revealed that a cut-off urinary SARS-CoV-2 N level higher than 512.2 pg/mL at ICU admission effectively identified patients with AKI (AUC 0.81, p=0.0211). Survival analysis for cumulative incidence of AKI revealed that urinary SARS-CoV-2 N levels at ICU admission were not only associated with AKI at ICU admission, but also predicted future development of AKI (HR 5.9, 95% CI 1.4-26, p=0.0095). Because plasma albumin levels at time of ICU admission have previously been established as marker to predict AKI and fatal outcome in COVID-19, we next compared clinical and routine laboratory parameters assessed at ICU admission with urinary SARS-CoV-2 N measurements to predict AKI with higher accuracy. In line with aforementioned findings, hypoalbuminemia at time of ICU admission also predicted AKI among all parameters assessed in our cohort. Confirmed by ROC analysis, combining urinary SARS-CoV-2 N and plasma albumin measurements for risk prediction (2-variable model, AUC 0.94, p=0.0009) outperformed urinary SARS-CoV-2 N alone (AUC 0.81, p=0.0211, comparison of models: p=0.0016) or plasma albumin alone (AUC 0.78, p=0.0343, comparison of models: p=0.0061). Thus, combined urinary SARS-CoV-2 N and plasma albumin levels assessed at ICU admission effectively predicted incidence and early onset of AKI during the further clinical course (2-variable model, HR 11.4, 95% CI 2.7-48, p=0.0016). In addition, combining urinary SARS-CoV-2 N and plasma albumin levels at ICU admission effectively predicted fatal outcome in COVID-19 (2-variable model, HR 7.6, 95% CI 1.3-44, p=0.0240). Conclusion Urinary SARS-CoV-2 N levels associate with risk for AKI and correlated with COVID-19 severity. Therefore, we propose that urinary SARS-CoV-2 N could be used as early and easily assessable marker to identify patients at risk for AKI and premature death in COVID-19.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Marcell Szabó ◽  
Anna Bozó ◽  
Katalin Darvas ◽  
Sándor Soós ◽  
Márta Őzse ◽  
...  

Abstract Background Postoperative pulmonary complications (PPCs) are important contributors to mortality and morbidity after surgery. The available predicting models are useful in preoperative risk assessment, but there is a need for validated tools for the early postoperative period as well. Lung ultrasound is becoming popular in intensive and perioperative care and there is a growing interest to evaluate its role in the detection of postoperative pulmonary pathologies. Objectives We aimed to identify characteristics with the potential of recognizing patients at risk by comparing the lung ultrasound scores (LUS) of patients with/without PPC in a 24-h postoperative timeframe. Methods Observational study at a university clinic. We recruited ASA 2–3 patients undergoing elective major abdominal surgery under general anaesthesia. LUS was assessed preoperatively, and also 1 and 24 h after surgery. Baseline and operative characteristics were also collected. A one-week follow up identified PPC+ and PPC- patients. Significantly differing LUS values underwent ROC analysis. A multi-variate logistic regression analysis with forward stepwise model building was performed to find independent predictors of PPCs. Results Out of the 77 recruited patients, 67 were included in the study. We evaluated 18 patients in the PPC+ and 49 in the PPC- group. Mean ages were 68.4 ± 10.2 and 66.4 ± 9.6 years, respectively (p = 0.4829). Patients conforming to ASA 3 class were significantly more represented in the PPC+ group (66.7 and 26.5%; p = 0.0026). LUS at baseline and in the postoperative hour were similar in both populations. The median LUS at 0 h was 1.5 (IQR 1–2) and 1 (IQR 0–2; p = 0.4625) in the PPC+ and PPC- groups, respectively. In the first postoperative hour, both groups had a marked increase, resulting in scores of 6.5 (IQR 3–9) and 5 (IQR 3–7; p = 0.1925). However, in the 24th hour, median LUS were significantly higher in the PPC+ group (6; IQR 6–10 vs 3; IQR 2–4; p < 0.0001) and it was an independent risk factor (OR = 2.6448 CI95% 1.5555–4.4971; p = 0.0003). ROC analysis identified the optimal cut-off at 5 points with high sensitivity (0.9444) and good specificity (0.7755). Conclusion Postoperative LUS at 24 h can identify patients at risk of or in an early phase of PPCs.


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