Prognostic Value of Mid-Regional Proadrenomedullin Sampled at Presentation and after 72 Hours in Septic Patients Presenting to the Emergency Department: An Observational Two-Center Study

The value of midregional proadrenomedullin to predict mortality in intensive care unit

AIM

This study explores the value of midregional proadrenomedullin (mr-proADM), C-reactive protein (CRP), procalcitonin (PCT), and presepsin (PSP) in predicting mortality, considering both their absolute values at different time points and their dynamic kinetics.

METHODS

We conducted a retrospective observational study including all consecutive adult ICU admissions. Biomarkers were measured at admission (T0), day 3 (T3), and day 5 (T5). We assessed absolute values, relative variations, and categorized changes (≥50 % increase or decrease).

RESULTS

A total of 99 patients were included. mr-proADM at T3 had the highest predictive value for ICU mortality (AUC = 0.77), followed by PSP at T3 (AUC = 0.70). Cox regression identified mr-proADM at T3 as an independent predictor of mortality (HR: 1.16, p < 0.001), with a ≥ 50 % increase in mr-proADM from T0 to T3 significantly associated with mortality risk (HR: 4.15, p < 0.001). In patients with low baseline mr-proADM levels, a ≥ 50 % increase at T3 was significantly associated with mortality (HR: 4.43, p = 0.04), while in those with high baseline levels, the absolute value at T3 was more predictive.

CONCLUSION

Our findings suggest that mr-proADM at T3 is the most informative biomarker for predicting ICU mortality, with its absolute value and dynamic increase providing valuable prognostic insights. Importantly, stratified analysis highlights that different risk stratification approaches may be necessary based on baseline mr-proADM levels.

Plasma soluble suppression of tumorigenesis 2 measured in the emergency department for diagnosis and outcome prediction of sepsis: A single-center prospective study

BACKGROUND AND AIMS

The diagnostic and prognostic performance of soluble Suppression of Tumorigenicity 2 (sST2) in suspected septic patients presenting to the Emergency Department (ED) is largely unknown.

MATERIALS AND METHODS

Patients were included in this prospective study if there was high suspicion of sepsis. The plasma level of sST2 was measured during initial ED evaluation. Outcomes were the evaluation of (1) sST2 diagnostic performance (alone and in combination with procalcitonin [PCT]), and (2) sST2 ability to predict 30-day and 90-day all-cause mortality.

RESULTS

Among 569 patients included, 481 (84.5 %) had sepsis or septic shock. Plasma sST2 levels were more elevated in septic patients (159 [71-331] vs 50 [31-103] ng/mL, P < 0.001). The AUC of sST2 for sepsis diagnosis was lower than the AUC of PCT (0.76 vs 0.85, P = 0.03). The best cut-off for sST2 was 61.7 ng/mL, with a sensitivity of 79.9 % and a specificity of 70.6 %. sST2 was able to correctly reclassify septic patients with PCT <0.5 (NRI 28.9 % [P = 0.02]). sST2 level was an independent predictor of 30-day mortality in a model including clinical variables (aHR 2.03 [1.24-3.33], C-index 0.69).

CONCLUSION

sST2 could be a useful adjunct in diagnosing sepsis and in all-cause mortality prediction.

Critical and non-critical coronavirus disease 2019 patients: which is the most predictive biomarker for disease severity and outcome?: A multicentre prospective cohort study comparing mid-regional pro-adrenomedullin, inflammatory and immunological patterns

BACKGROUND

Severe acute respiratory syndrome-coronavirus-2 in coronavirus disease 2019 (COVID-19) patients leads to a wide range of clinical manifestations. The evaluation of mid-regional pro-adrenomedullin (MR-proADM) as a prognostic biomarker in noncritical wards (NON-ICU) and intensive care units (ICU), may have a potential in predicting disease severity and outcomes.

OBJECTIVE

To assess the difference in the prognostic power of MR-proADM in NON-ICU wards and in ICUs in a prospective multicentre cohort study.

DESIGN

From January to July 2021, all adult COVID-19 patients requiring admission for more than 48 h.

SETTING

One primary centre and two secondary centre hospitals.

PATIENTS

One hundred and twenty-three ICU and 77 NON-ICU patients.

INTERVENTION

MR-proADM, lymphocyte subpopulations and immunoglobulins were measured within 48 h and on days 3 and 7. A Log-rank test was used to compare survival curves, using a MR-proADM cut-off value of 1.5 nmol l-1. The predictive ability for mortality was compared using the area under the curve and 95% confidence interval (CI) of different receiver-operating characteristic curves.

MAIN OUTCOME MEASURES

The first 48 h MR-proADM values were significantly higher in the ICU group (median value 1.10 [IQR, 0.80 to 1.73] pg ml-1 vs. 0.90 [0.70 to 1.20] pg ml-1, P = 0.020), and statistically significant changes were observed over time for MR-proADM, CD3+, CD4+ and CD56+. In univariate analysis, MR-proADM was the only biomarker that significantly predicted mortality (P = 0.006). The logistic regression model showed an odds ratio for mortality equal to 1.83 (95% CI, 1.08 to 3.37) P = 0.035 for MR-proADM, 1.37 (1.15 to 1.68) P = 0.001 for MuLBSTA and 1.11 (1.05 to 1.18) P less than 0.001 for SAPS II.

CONCLUSION

MR-proADM admission values and trends over time appear to be a suitable marker of illness severity and a patient's risk of mortality in both ICU and NON-ICU settings. Lymphocyte subpopulation dysfunction seems to play a role in defining the severity of COVID-19 but is limited to ICU setting.

TRIAL REGISTRATION

on clinicaltrials.gov, NCT04873388 registered on March 2020.

Comprehensive Assessment of Mid-Regional Proadrenomedullin, Procalcitonin, Neuron-Specific Enolase and Protein S100 for Predicting Pediatric Severe Trauma Outcomes

The development of multiple organ failure and septic complications increases the cumulative risk of mortality in children with severe injury. Clinically available biochemical markers have shown promise in assessing the severity and predicting the development of complications and outcomes in such cases. This study aimed to determine informative criteria for assessing the severity and outcome prediction of severe injury in children based on levels of mid-regional proadrenomedullin (MR-proADM) procalcitonin (PCT), neuron-specific enolase (NSE), and protein S100. Biomarker levels were measured in 52 children with severe injury (ISS ≥ 16) on the 1st, 3rd, 7th, and 14th days after admission to the ICU. The children were divided into groups based on their favorable (n = 44) or unfavorable (n = 8) outcomes according to the Severe Injury Outcome Scale, as well as their favorable (n = 35) or unfavorable (n = 15) outcomes according to the Glasgow Coma Outcome Scale (GOS). The study also evaluated the significance of biomarker levels in predicting septic complications (with SC (n = 16) and without SC (n = 36)) and diagnosing and stratifying multiple organ failure (with MOF (n = 8) and without MOF (n = 44)). A comprehensive assessment of MR-proADM and PCT provided the highest diagnostic and prognostic efficacy for early diagnosis, risk stratification of multiple organ failure, and outcome prediction in severe injury cases involving children. Additionally, the inclusion of the S100 protein in the study allowed for further assessment of brain damage in cases of traumatic brain injury (TBI), contributing to the overall prognostic model.

Circulating mid-regional proadrenomedullin is a predictor of mortality in patients with COVID-19: a systematic review and meta-analysis

BACKGROUND

Although there is increasing understanding of the changes in the laboratory parameters of Coronavirus disease 2019 (COVID-19), the correlation between circulating Mid-regional Proadrenomedullin (MR-proADM) and mortality of patients with COVID-19 is not fully understood. In this study, we conducted a systematic review and meta-analysis to evaluate the prognostic value of MR-proADM in patients with COVID-19.

METHODS

The PubMed, Embase, Web of Science, Cochrane Library, Wanfang, SinoMed and Chinese National Knowledge Infrastructure (CNKI) databases were searched from 1 January 2020 to 20 March 2022 for relevant literature. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) was used to assess quality bias, STATA was employed to pool the effect size by a random effects model, and potential publication bias and sensitivity analyses were performed.

RESULTS

14 studies comprising 1822 patients with COVID-19 met the inclusion criteria, there were 1145 (62.8%) males and 677 (31.2%) females, and the mean age was 63.8 ± 16.1 years. The concentration of MR-proADM was compared between the survivors and non-survivors in 9 studies and the difference was significant (P < 0.01), I² = 46%. The combined sensitivity was 0.86 [0.73-0.92], and the combined specificity was 0.78 [0.68-0.86]. We drew the summary receiver operating characteristic (SROC) curve and calculated the area under curve (AUC) = 0.90 [0.87-0.92]. An increase of 1 nmol/L of MR-proADM was independently associated with a more than threefold increase in mortality (odds ratio (OR) 3.03, 95% confidence interval (CI) 2.26-4.06, I² = 0.0%, P = 0.633). The predictive value of MR-proADM for mortality was better than many other biomarkers.

CONCLUSION

MR-proADM had a very good predictive value for the poor prognosis of COVID-19 patients. Increased levels of MR-proADM were independently associated with mortality in COVID-19 patients and may allow a better risk stratification.

Effectiveness of mid-regional pro-adrenomedullin, compared to other biomarkers (including lymphocyte subpopulations and immunoglobulins), as a prognostic biomarker in COVID-19 critically ill patients: New evidence from a 15-month observational prospective study

Background

Mid-regional pro-adrenomedullin (MR-proADM), an endothelium-related peptide, is a predictor of death and multi-organ failure in respiratory infections and sepsis and seems to be effective in identifying COVID-19 severe forms. The study aims to evaluate the effectiveness of MR-proADM in comparison to routine inflammatory biomarkers, lymphocyte subpopulations, and immunoglobulin (Ig) at an intensive care unit (ICU) admission and over time in predicting mortality in patients with severe COVID-19.

Methods

All adult patients with COVID-19 pneumonia admitted between March 2020 and June 2021 in the ICUs of a university hospital in Italy were enrolled. MR-proADM, lymphocyte subpopulations, Ig, and routine laboratory tests were measured within 48 h and on days 3 and 7. The log-rank test was used to compare survival curves with MR-proADM cutoff value of >1.5 nmol/L. Predictive ability was compared using the area under the curve (AUC) and 95% confidence interval (CI) of different receiver-operating characteristic curves.

Results

A total of 209 patients, with high clinical severity [SOFA 7, IQR 4-9; SAPS II 52, IQR 41-59; median viral pneumonia mortality score (MuLBSTA)-11, IQR 9-13] were enrolled. ICU and overall mortality were 55.5 and 60.8%, respectively. Procalcitonin, lactate dehydrogenase, D-dimer, the N-terminal prohormone of brain natriuretic peptide, myoglobin, troponin, neutrophil count, lymphocyte count, and natural killer lymphocyte count were significantly different between survivors and non-survivors, while lymphocyte subpopulations and Ig were not different in the two groups. MR-proADM was significantly higher in non-survivors (1.17 ± 0.73 vs. 2.31 ± 2.63, p < 0.0001). A value of >1.5 nmol/L was an independent risk factor for mortality at day 28 [odds ratio of 1.9 (95% CI: 1.220-3.060)] after adjusting for age, lactate at admission, SOFA, MuLBSTA, superinfections, cardiovascular disease, and respiratory disease. On days 3 and 7 of the ICU stay, the MR-proADM trend evaluated within 48 h of admission maintained a correlation with mortality (p < 0.0001). Compared to all other biomarkers considered, the MR-proADM value within 48 h had the best accuracy in predicting mortality at day 28 [AUC = 0.695 (95% CI: 0.624-0.759)].

Conclusion

MR-proADM seems to be the best biomarker for the stratification of mortality risk in critically ill patients with COVID-19. The Ig levels and lymphocyte subpopulations (except for natural killers) seem not to be correlated with mortality. Larger, multicentric studies are needed to confirm these findings.

Proadrenomedullin in the Management of COVID-19 Critically Ill Patients in Intensive Care Unit: A Systematic Review and Meta-Analysis of Evidence and Uncertainties in Existing Literature

Mid-regional proadrenomedullin (MR-proADM) is a new biomarker of endothelial damage and its clinical use is increasing in sepsis and respiratory infections and recently in SARS-CoV-2 infection. We conducted a systematic review and meta-analysis to clarify the use of MR-proADM in severe COVID-19 disease. After Pubmed, Embase, and Scopus search, registries, and gray literature, deduplication, and selection of full-texts, we found 21 studies addressing the use of proadrenomedullin in COVID-19. All the studies were published between 2020 and 2022 from European countries. A total of 9 studies enrolled Intensive Care Unit (ICU) patients, 4 were conducted in the Emergency Department, and 8 had mixed populations. Regarding the ICU critically ill patients, 4 studies evaluating survival as primary outcome were available, of which 3 reported completed data. Combining the selected studies in a meta-analysis, a total of 252 patients were enrolled; of these, 182 were survivors and 70 were non-survivors. At the admission to the ICU, the average MR-proADM level in survivor patients was 1.01 versus 1.64 in non-survivor patients. The mean differences of MR-proADM values in survivors vs. non-survivors was −0.96 (95% CI from −1.26, to −0.65). Test for overall effect: Z = 6.19 (p < 0.00001) and heterogeneity was I2 = 0%. MR-proADM ICU admission levels seem to predict mortality among the critical COVID-19 population. Further, prospective studies, focused on critically ill patients and investigating a reliable MR-proADM cut-off, are needed to provide adequate guidance to its use in severe COVID-19.