The prognostic value of N-terminal proB-type natriuretic peptide in patients with acute respiratory distress syndrome

Baseline NT-proBNP levels as a predictor of short-and long-term prognosis in COVID-19 patients: a prospective observational study

BACKGROUND

Up to 20% of COVID-19 patients can suffer COVID-19-related myocardial injury. Elevated cardiac biomarkers, such as hs-cTnT and NT-proBNP, have been related to worse short-term prognosis. However, data on NT-proBNP and long-term prognosis are scarce. We have evaluated the potential association of baseline age-adjusted NT-proBNP levels and outcomes at one-year follow-up in COVID-19 patients.

METHODS

This was a single-center prospective study of 499 COVID-19 patients in whom NT-proBNP was assessed at hospital admission. NT-proBNP levels were age-adjusted and patients were classified as high or low NT-proBNP. Clinical and demographic characteristics, comorbidities, laboratory results, and in-hospital complications and mortality were compared between the two groups. Survivors of the acute phase of COVID-19 were followed up for one year from admission to detect readmissions and mortality.

RESULTS

The 68 patients with high NT-proBNP levels at hospital admission were older, with more cardiovascular risk factors, cardiovascular disease, comorbidities, myocardial injury, and higher levels of inflammatory markers than patients with low NT-proBNP levels. They also had more in-hospital complications and a higher acute-phase mortality rate (60.3% vs. 10.2%, p < 0.001). High NT-proBNP levels were an independent marker of death during hospitalization (HR 1.95; CI 1.07-3.52). At one-year follow-up, high NT-proBNP levels were independently associated with mortality (HR 2.69; CI 1.47-4.89). Among survivors of the acute phase of COVID-19, there were no differences in hospital readmissions between those with high vs. low NT-proBNP levels, but survivors with high baseline NT-proBNP levels showed a higher 1-year mortality rate (7.4% vs. 1.3%, p = 0.018).

CONCLUSIONS

High age-adjusted NT-proBNP levels at the time of hospital admission for COVID-19 are associated with poor short and long-term prognosis. High NT-proBNP seems also to be related to worse prognosis in survivors of the acute phase of COVID-19. A closer follow-up on these patients may be crucial.

Exploring the Risk Factors and Possible Role of Calcium in Infective Endocarditis

Infective endocarditis (IE) is a severe and potentially life-threatening infection that affects the endocardium, the inner lining of the heart chambers and valves. Although rare, it is a potentially fatal condition, with an incidence of 3-10 cases per 100,000 people per year in developed countries and a mortality rate of up to 30% within 30 days. Early identification and diagnosis are critical for improving outcomes. The diagnosis of IE typically involves a combination of biomarkers, blood cultures, and echocardiography. However, currently, there are no specific biomarkers for the early detection of IE. Given the lack of specific biomarkers for IE, serum calcium levels have been suggested to play a unique role in IE. There have been few articles on the correlation between serum calcium and IE, suggesting that patients with endocarditis and lower levels of serum calcium may have a poorer prognosis. Therefore, in this article, we focus on biomarkers of endocarditis and discuss the evidence showing serum calcium as a potential indicator of IE.

The use of cardiac troponins and B-type natriuretic peptide in COVID-19

Coronavirus disease 2019 (COVID-19) is still challenging health care systems worldwide. Over time, it has become clear that respiratory disease is not the only important entity as critically ill patients are also more prone to develop complications, such as acute cardiac injury. Despite extensive research, the mainstay of treatment still relies on supportive care and targeted therapy of these complications. The development of a prognostic model which helps clinicians to diverge patients to an appropriate level of care is thus crucial. As a result, several prognostic markers have been studied in the past few months. Among them are the cardiac biomarkers, especially cardiac troponins T/I and brain natriuretic peptide, which seem to have important prognostic values as several reports have confirmed their strong association with adverse clinical outcomes and death. The use of these biomarkers as part of a prognostic tool could potentially result in more precise risk stratification of COVID-19 patients and divergence to an adequate level of care. However, several caveats persist causing international guidelines to still recommend in favour of a more conservative approach to cardiac biomarker testing for prognostic purposes.

Cardiac biomarkers alterations in patients with SARS-CoV-2 infection

Reliable biomarkers are necessary for the risk stratification of patients infected with SARS-CoV-2. This novel coronavirus is now established to affect several organs in addition to the lungs, most prominently the heart. This is achieved through direct damage to the myocardium and indirect immune-associated effects during the cytokine storm. We performed a literature review aiming to identify the prognostic value of alterations of cardiac biomarkers in SARS-CoV-2 infection. Cardiac biomarkers are significantly elevated in patients with severe COVID-19 and are independent predictors of mortality. High-sensitivity troponin I and T are correlated with multiple inflammatory indexes and poor outcomes. Although cut-off values have been established for most of cardiac biomarkers, lower limits for troponins may have better prognostic values and longitudinal monitoring of cardiac biomarkers can help the clinician assess the patient's course. Additional measurements of NT-proBNP, can detect the subgroup of patients with poor prognosis.

Cardiovascular Disease in the COVID-19 Era: Myocardial Injury and Thrombosis

COVID-19 is now appreciated as a pandemic, presenting with a wide range of symptoms, mostly respiratory, yet involving other organs massively. Myocardial injury is a crucial complication with significant negative impact on prognosis. Despite all the investigations, exact pathophysiologic mechanisms remain unclear, and so do the appropriate treatments. Thrombosis has been increasingly observed since the first reports, with venous thromboembolism being the major concern. The strategy of thrombosis prophylaxis, though known to be helpful to the clinical scenario, is still a subject of debate.

Cardiac biomarkers in acute respiratory distress syndrome: a systematic review and meta-analysis

BACKGROUND

Acute respiratory distress syndrome (ARDS) is a leading cause of morbidity and mortality in the intensive care unit. Biochemical markers of cardiac dysfunction are associated with high mortality in many respiratory conditions. The aim of this systematic review is to examine the link between elevated biomarkers of cardiac dysfunction in ARDS and mortality.

METHODS

A systematic review of MEDLINE, EMBASE, Web of Science and CENTRAL databases was performed. We included studies of adult intensive care patients with ARDS that reported the risk of death in relation to a measured biomarker of cardiac dysfunction. The primary outcome of interest was mortality up to 60 days. A random-effects model was used for pooled estimates. Funnel-plot inspection was done to evaluate publication bias; Cochrane chi-square tests and I² tests were used to assess heterogeneity.

RESULTS

Twenty-two studies were included in the systematic review and 18 in the meta-analysis. Biomarkers of cardiac stretch included NT-ProBNP (nine studies) and BNP (six studies). Biomarkers of cardiac injury included Troponin-T (two studies), Troponin-I (one study) and High-Sensitivity-Troponin-I (three studies). Three studies assessed multiple cardiac biomarkers. High levels of NT-proBNP and BNP were associated with a higher risk of death up to 60 days (unadjusted OR 8.98; CI 4.15-19.43; p<0.00001). This association persisted after adjustment for age and illness severity. Biomarkers of cardiac injury were also associated with higher mortality, but this association was not statistically significant (unadjusted OR 2.21; CI 0.94-5.16; p= 0.07).

CONCLUSION

Biomarkers of cardiac stretch are associated with increased mortality in ARDS.

Development and Validation of a Nomogram for Assessing Survival in Patients With COVID-19 Pneumonia

Background

The outbreak of coronavirus disease (COVID-19) in 2019 has spread worldwide and continues to cause great threat to peoples’ health as well as put pressure on the accessibility of medical systems. Early prediction of survival of hospitalized patients will help the clinical management of COVID-19, but such a prediction model which is reliable and valid is still lacking.

Methods

We retrospectively enrolled 628 confirmed cases of COVID-19 using positive RT-PCR tests for SARS-CoV-2 in Tongji Hospital in Wuhan, China. These patients were randomly grouped into a training cohort (60%) and a validation cohort (40%). In the training cohort, least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate Cox regression analysis were utilized to identify prognostic factors for in-hospital survival of patients with COVID-19. A nomogram based on the three variables was built for clinical use. Areas under the ROC curves (AUC), concordance index (C-index) and calibration curve were used to evaluate the efficiency of the nomogram in both the training and validation cohorts.

Results

Hypertension, higher neutrophil-to-lymphocyte ratio and increased NT-proBNP value were found to be significantly associated with poorer prognosis in hospitalized patients with COVID-19. The three predictors were further used to build a prediction nomogram. The C-index of the nomogram in the training and validation cohorts was 0.901 and 0.892, respectively. The AUC in the training cohort was 0.922 for 14- day and 0.919 for 21-day probability of in-hospital survival, while in the validation cohort was 0.922 and 0.881, respectively. Moreover, the calibration curve for 14- day and 21-day survival also showed high coherence between the predicted and actual probability of survival.

Conclusion

We managed to build a predictive model and constructed a nomogram for predicting in-hospital survival of patients with COVID-19. This model represents good performance and might be utilized clinically in the management of COVID-19.

B-Type Natriuretic Peptide as Biomarker of COVID-19 Disease Severity-A Meta-Analysis

Up to 15% of coronavirus disease 2019 (COVID-19) patients experience severe clinical presentation, resulting in acute respiratory distress (ARDS) and finally death. N-terminal natriuretic peptide (NT-proBNP) is associated with a worse prognosis in patients with ARDS. However, whether or not this peptide can help discriminate high-risk COVID-19 patients remains unclear. Therefore, in this meta-analysis, we summarized the available evidence on NT-proBNP in patients admitted for COVID-19. Pooled mean, mean differences (MD) and standardized mean difference (SMD) were the summary metrics. Thirteen studies were finally selected for this analysis with a total of 2248 patients, of which 507 had a severe condition (n = 240) or died (n = 267). Pooled mean NT-proBNP levels on admission were 790.57 pg/mL (95% confidence intervals (CIs): 532.50 to 1048.64) in patients that experienced a severe clinical condition or died, and 160.56 pg/mL (95% CI: 118.15 to 202.96) in non-severe patients (SMD: 1.05; 95% (CI): 0.83 to 1.28; p < 0.001; I² 74%; and MD was 645.84 pg/mL (95% CI: 389.50–902.18). Results were consistent in studies categorizing patients as non-survivors versus survivors (SMD: 1.17; 95% CI 0.95 to 1.40; p < 0. 001; I²: 51%), and in those classifying populations in severe versus non-severe clinical condition (SMD: 0.94 95% CI 0.56 to 1.32; p < 0.001; I²: 81%; p_interaction = 0.30). In conclusion, our results suggest that assessing NT-proBNP may support physicians in discriminating high-risk COVID-19 patients.

Elevated N-terminal pro-brain natriuretic peptide is associated with increased mortality in patients with COVID-19: systematic review and meta-analysis

OBJECTIVES

This systematic review and meta-analysis aimed to assess the association between N-terminal pro-brain natriuretic peptide (NT-proBNP) and mortality in patients with COVID-19.

METHODS

Systematic literature search from several electronic databases were performed. The outcome was mortality (non-survivor) in patients with COVID-19 pneumonia. NT-proBNP data were in continuous variable (pg/mL), dichotomous data (elevated/non-elevated) and effect estimate adjusted to cardiac injury/elevated biomarkers of cardiac injury.

RESULTS

A total of 967 patients from six studies were included in this analysis. NT-proBNP was higher in non-survivor group (standardised mean difference 0.75 (0.44, 1.07), p<0.001; I2: 61%). Elevated NT-proBNP was associated with increased mortality (RR 3.63 (92.21, 5.95), p<0.001; I2: 60%). Sensitivity analysis by removing a study reduces heterogeneity (risk ratio 3.47 (2.36, 5.11), p<0.001; I2: 49%). Pooled adjusted HR (adjusted to cardiac injury/elevated biomarkers of cardiac injury) showed that elevated NT-proBNP was independently associated with mortality (HR 1.37 (1.19, 1.57), p<0.001; I2: 0%, p=0.77). Pooled analysis of multiple cut-off point resulted in a sensitivity of 76% (46%-92%) and specificity of 88% (71%-96%). Summary receiver operating characteristic curve analysis demonstrates an area under curve of 0.90 (0.87-0.93). Elevated NT-proBNP has a likelihood ratio (LR) +6.4 and LR -0.3.

CONCLUSION

Elevated NT-proBNP level was associated with increased mortality in COVID-19 pneumonia.

Prognostic Value of N-terminal Probrain Natriuretic Peptide for Patients with Acute Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis

Objectives

The mortality rate of patients with acute respiratory distress syndrome (ARDS) is high. Hence, it is crucial to identify a reliable biomarker with wide clinical applications for predicting the prognosis of patients with ARDS. This systematic review and meta-analysis was conducted to investigate the value of plasma N-terminal probrain natriuretic peptide (NT-proBNP) for predicting mortality in patients with ARDS.

Methods

An electronic search of databases including PubMed, Web of Science, Cochrane Library, and Chinese National Knowledge Infrastructure was conducted up to May 31, 2019, without language restrictions. The quality of the included studies was evaluated using QUADAS-2. Data were extracted and analyzed to obtain pooled estimates of sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio. A forest graph was used to evaluate heterogeneity. Potential causes of heterogeneity were further explored by subgroup analysis based on the testing day, testing method, observation endpoint, or cut-off points. A summary receiver operating characteristic curve was drawn to obtain the pooled area under the curve.

Results

A total of 7 studies involving 581 patients with ARDS were included. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were as follows: 0.79 (95% CI: 0.72–0.84), 0.79 (95% CI: 0.66–0.88), 3.68 (95% CI: 2.16–6.28), 0.27 (95% CI: 0.20–0.38), and 13.58 (95% CI: 6.17–29.90), respectively. The results of subgroup analysis showed that the testing day influenced the summary sensitivity and that the cut-off points influenced the summary sensitivity and specificity.

Conclusion

Our results indicate that elevated plasma NT-proBNP levels have a moderate value for predicting the mortality of patients with ARDS.

Towards Point-of-Care Heart Failure Diagnostic Platforms: BNP and NT-proBNP Biosensors

Heart failure is a class of cardiovascular diseases that remains the number one cause of death worldwide with a substantial economic burden of around $18 billion incurred by the healthcare sector in 2017 due to heart failure hospitalization and disease management. Although several laboratory tests have been used for early detection of heart failure, these traditional diagnostic methods still fail to effectively guide clinical decisions, prognosis, and therapy in a timely and cost-effective manner. Recent advances in the design and development of biosensors coupled with the discovery of new clinically relevant cardiac biomarkers are paving the way for breakthroughs in heart failure management. Natriuretic neurohormone peptides, B-type natriuretic peptide (BNP) and N-terminal prohormone of BNP (NT-proBNP), are among the most promising biomarkers for clinical use. Remarkably, they result in an increased diagnostic accuracy of around 80% owing to the strong correlation between their circulating concentrations and different heart failure events. The latter has encouraged research towards developing and optimizing BNP biosensors for rapid and highly sensitive detection in the scope of point-of-care testing. This review sheds light on the advances in BNP and NT-proBNP sensing technologies for point-of-care (POC) applications and highlights the challenges of potential integration of these technologies in the clinic. Optical and electrochemical immunosensors are currently used for BNP sensing. The performance metrics of these biosensors-expressed in terms of sensitivity, selectivity, reproducibility, and other criteria-are compared to those of traditional diagnostic techniques, and the clinical applicability of these biosensors is assessed for their potential integration in point-of-care diagnostic platforms.

The Value of Oxygenation Saturation Index in Predicting the Outcomes of Patients with Acute Respiratory Distress Syndrome

This study aims to investigate the association between oxygenation saturation index (OSI) and the outcome of acute respiratory distress syndrome (ARDS) patients, and assess the predictive performance of OSI for ARDS patients’ mortality. This study was conducted at one regional hospital with 66 adult intensive care unit (ICU) beds. All patients with ARDS were identified between November 1 2016 and May 31 2018, and their clinical information was retrospectively collected. The lowest PaO₂/FiO₂ ratio and SpO₂/FiO₂ ratio and highest mean airway pressure (MAP) were recorded on the first day of ARDS; and oxygen index (OI) and OSI were calculated as (FiO₂ × MAP × 100)/PaO₂, and (FiO₂ × MAP × 100) /SpO₂ accordingly. During the study period, a total of 101 patients with ARDS were enrolled, and their mean age was 69.2 years. The overall in-ICU and in-hospital mortality rate was 57.4% and 61.4%, respectively. The patients with in-ICU mortality had higher APACHE II score than the survivors (31.6 ± 9.8 vs. 23.0 ± 9.1, p < 0.001). In addition, mortalities had lower SpO₂, and SpO₂/FiO₂ ratios than the survivors (both p < 0.05). In contrast, survivors had lower OI, and OSI than the mortalities (both p = 0.008). Both OSI (area under curve (AUC) = 0.656, p = 0.008) and OI (AUC = 0.654, p = 0.008) had good predictive performance of mortality among ARDS patients using receiver-operating characteristics (ROC) curves analysis. In addition, the AUC of SpO₂/FiO₂ (AUC = 0.616, p = 0.046) had better performance for mortality prediction than PaO₂/FiO₂ (AUC = 0.603, p = 0.08). The patients with OSI greater than 12 had a higher risk of mortality than OSI < 12 (adjusted OR, 5.22, 95% CI, 1.31–20.76, p = 0.019). In contrast, OI, PaO₂/FiO₂, and SpO₂/FiO₂ were not found to be significantly associated with increased mortality. OSI is significantly associated with the increased mortality of ARDS patients and can also be a good outcome predictor.

The outcomes and prognostic factors of acute respiratory failure in the patients 90 years old and over

This retrospective cohort study investigated the outcomes and prognostic factors in nonagenarians (patients 90 years old or older) with acute respiratory failure. Between 2006 and 2016, all nonagenarians with acute respiratory failure requiring invasive mechanical ventilation (MV) were enrolled. Outcomes including in-hospital mortality and ventilator dependency were measured. A total of 173 nonagenarians with acute respiratory failure were admitted to the intensive care unit (ICU). A total of 56 patients died during the hospital stay and the rate of in-hospital mortality was 32.4%. Patients with higher APACHE (Acute Physiology and Chronic Health Evaluation) II scores (adjusted odds ratio [OR], 5.91; 95 % CI, 1.55-22.45; p = 0.009, APACHE II scores ≥ 25 vs APACHE II scores < 15), use of vasoactive agent (adjust OR, 2.67; 95% CI, 1.12-6.37; p = 0.03) and more organ dysfunction (adjusted OR, 11.13; 95% CI, 3.38-36.36, p < 0.001; ≥ 3 organ dysfunction vs ≤ 1 organ dysfunction) were more likely to die. Among the 117 survivors, 25 (21.4%) patients became dependent on MV. Female gender (adjusted OR, 3.53; 95% CI, 1.16-10.76, p = 0.027) and poor consciousness level (adjusted OR, 4.98; 95% CI, 1.41-17.58, p = 0.013) were associated with MV dependency. In conclusion, the mortality rate of nonagenarians with acute respiratory failure was high, especially for those with higher APACHE II scores or more organ dysfunction.