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Background: About 20% of ICU patients with COVID-19 require renal replacement therapy (RRT). Midregional pro-adrenomedullin (MR-proADM) might be used for risk assessment. This study investigates MR-proADM for RRT prediction in ICU patients with COVID-19. Methods: We analysed data of consecutive patients with COVID-19, requiring ICU admission at a university hospital in Germany between March and September 2020. Clinical characteristics, details on AKI, and RRT were assessed. MR-proADM was measured on admission. Results: 64 patients were included (49 (77%) males). Median age was 62.5y (54-73). 47 (73%) patients were ventilated and 50 (78%) needed vasopressors. 25 (39%) patients had severe ARDS, and 10 patients needed veno-venous extracorporeal membrane oxygenation. 29 (45%) patients required RRT; median time from admission to RRT start was 2 (1-9) days. MR-proADM on admission was higher in the RRT group (2.491 vs. 1.23 nmol/l; p ¼ 0.002) and showed the highest correlation with renalSOFA. ROC curve analysis showed that MR-proADM predicts RRT with an AUC of 0.69 (95% CI: 0.543-0.828; p ¼ 0.019). In multivariable logistic regression MR-proADM was an independent predictor (OR: 3.813, 95% CI 1.110-13.102, p<0.05) for RRT requirement. Conclusion: AKI requiring RRT is frequent in ICU patients with COVID-19. MR-proADM on admission was able to predict RRT requirement, which may be of interest for risk stratification and management.
Background: About 20% of ICU patients with COVID-19 require renal replacement therapy (RRT). Midregional pro-adrenomedullin (MR-proADM) might be used for risk assessment. This study investigates MR-proADM for RRT prediction in ICU patients with COVID-19. Methods: We analysed data of consecutive patients with COVID-19, requiring ICU admission at a university hospital in Germany between March and September 2020. Clinical characteristics, details on AKI, and RRT were assessed. MR-proADM was measured on admission. Results: 64 patients were included (49 (77%) males). Median age was 62.5y (54-73). 47 (73%) patients were ventilated and 50 (78%) needed vasopressors. 25 (39%) patients had severe ARDS, and 10 patients needed veno-venous extracorporeal membrane oxygenation. 29 (45%) patients required RRT; median time from admission to RRT start was 2 (1-9) days. MR-proADM on admission was higher in the RRT group (2.491 vs. 1.23 nmol/l; p ¼ 0.002) and showed the highest correlation with renalSOFA. ROC curve analysis showed that MR-proADM predicts RRT with an AUC of 0.69 (95% CI: 0.543-0.828; p ¼ 0.019). In multivariable logistic regression MR-proADM was an independent predictor (OR: 3.813, 95% CI 1.110-13.102, p<0.05) for RRT requirement. Conclusion: AKI requiring RRT is frequent in ICU patients with COVID-19. MR-proADM on admission was able to predict RRT requirement, which may be of interest for risk stratification and management.
<b><i>Introduction:</i></b> Immunomodulatory therapies have shown beneficial effects in patients with severe COVID-19. Patients with hypercytokinemia might benefit from the removal of inflammatory mediators via hemadsorption. <b><i>Methods:</i></b> Single-center prospective randomized trial at the University Medical Center Hamburg-Eppendorf (Germany). Patients with confirmed COVID-19, refractory shock (norepinephrine ≥0.2 µg/kg/min to maintain a mean arterial pressure ≥65 mm Hg), interleukin-6 (IL-6) ≥500 ng/L, and an indication for renal replacement therapy or extracorporeal membrane oxygenation were included. Patients received either hemadsorption therapy (HT) or standard medical therapy (SMT). For HT, a CytoSorb® adsorber was used for up to 5 days and was replaced every 18–24 h. The primary endpoint was sustained hemodynamic improvement (norepinephrine ≤0.05 µg/kg/min ≥24 h). <b><i>Results:</i></b> Of 242 screened patients, 24 were randomized and assigned to either HT (<i>N</i> = 12) or SMT (<i>N</i> = 12). Both groups had similar severity as assessed by SAPS II (median 75 points HT group vs. 79 SMT group, <i>p</i> = 0.590) and SOFA (17 vs. 16, <i>p</i> = 0.551). Median IL-6 levels were 2,269 (IQR 948–3,679) and 3,747 (1,301–5,415) ng/L in the HT and SMT groups at baseline, respectively (<i>p</i> = 0.378). Shock resolution (primary endpoint) was reached in 33% (4/12) versus 17% (2/12) in the HT and SMT groups, respectively (<i>p</i> = 0.640). Twenty-eight-day mortality was 58% (7/12) in the HT compared to 67% (8/12) in the SMT group (<i>p</i> = 1.0). During the treatment period of 5 days, 6/12 (50%) of the SMT patients died, in contrast to 1/12 (8%) in the HT group. <b><i>Conclusion:</i></b> HT was associated with a non-significant trend toward clinical improvement within the intervention period. In selected patients, HT might be an option for stabilization before transfer and further therapeutic decisions. This finding warrants further investigation in larger trials.
Background: This study aimed to investigate the associations between dyscapnia, ventilatory variables, and mortality. We hypothesized that the association between mechanical power or ventilatory ratio and survival is mediated by dyscapnia. Methods: Patients with moderate or severe acute respiratory distress syndrome (ARDS), who received mechanical ventilation within the first 48 h after admission to the intensive care unit for at least 48 h, were included in this retrospective single-center study. Values of arterial carbon dioxide (PaCO2) were categorized into “hypercapnia” (PaCO2 ≥ 50 mm Hg), “normocapnia” (PaCO2 36-49 mmHg), and “hypocapnia” (PaCO2 ≤ 35 mm Hg). We used path analyses to assess the associations between ventilatory variables (mechanical power and ventilatory ratio) and mortality, where hypocapnia or hypercapnia were included as mediating variables. Results: Between December 2017 and April 2021, 435 patients were included. While there was a significant association between mechanical power and hypercapnia (BEM = 0.24 [95% CI: 0.15; 0.34], P < .01), there was no significant association between mechanical power or hypercapnia and ICU mortality. The association between mechanical power and intensive care unit (ICU) mortality was fully mediated by hypocapnia (BEM = −0.10 [95% CI: −0.19; 0.00], P = .05; BMO = 0.38 [95% CI: 0.13; 0.63], P < .01). Ventilatory ratio was significantly associated with hypercapnia (B = 0.23 [95% CI: 0.14; 0.32], P < .01). There was no significant association between ventilatory ratio, hypercapnia, and mortality. There was a significant effect of ventilatory ratio on mortality, which was fully mediated by hypocapnia (BEM = −0.14 [95% CI: −0.24; −0.05], P < .01; BMO = 0.37 [95% CI: 0.12; 0.62], P < .01). Conclusion: In mechanically ventilated patients with moderate or severe ARDS, the association between mechanical power and mortality was fully mediated by hypocapnia. Likewise, there was a mediating effect of hypocapnia on the association between ventilatory ratio and ICU mortality. Our results indicate that the debate on dyscapnia and outcome after ARDS should consider the impact of ventilatory variables.
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