Development and Internal Validation of a Prediction Model to Risk Stratify Children with Suspected Community-Acquired Pneumonia

Preferences for Management of Pediatric Pneumonia: A Clinician Survey of Artificially Generated Patient Cases

BACKGROUND

It is unknown which factors are associated with chest radiograph (CXR) and antibiotic use for suspected community-acquired pneumonia (CAP) in children. We evaluated factors associated with CXR and antibiotic preferences among clinicians for children with suspected CAP using case scenarios generated through artificial intelligence (AI).

METHODS

We performed a survey of general pediatric, pediatric emergency medicine, and emergency medicine attending physicians employed by a private physician contractor. Respondents were given 5 unique, AI-generated case scenarios. We used generalized estimating equations to identify factors associated with CXR and antibiotic use. We evaluated the cluster-weighted correlation between clinician suspicion and clinical prediction model risk estimates for CAP using 2 predictive models.

RESULTS

A total of 172 respondents provided responses to 839 scenarios. Factors associated with CXR acquisition (OR, [95% CI]) included presence of crackles (4.17 [2.19, 7.95]), prior pneumonia (2.38 [1.32, 4.20]), chest pain (1.90 [1.18, 3.05]) and fever (1.82 [1.32, 2.52]). The decision to use antibiotics before knowledge of CXR results included past hospitalization for pneumonia (4.24 [1.88, 9.57]), focal decreased breath sounds (3.86 [1.98, 7.52]), and crackles (3.45 [2.15, 5.53]). After revealing CXR results to clinicians, these results were the sole predictor associated with antibiotic decision-making. Suspicion for CAP correlated with one of 2 prediction models for CAP (Spearman's rho = 0.25). Factors associated with a greater suspicion of pneumonia included prior pneumonia, duration of illness, worsening course of illness, shortness of breath, vomiting, decreased oral intake or urinary output, respiratory distress, head nodding, focal decreased breath sounds, focal rhonchi, fever, and crackles, and lower pulse oximetry.

CONCLUSIONS

Ordering preferences for CXRs demonstrated similarities and differences with evidence-based risk models for CAP. Clinicians relied heavily on CXR findings to guide antibiotic ordering. These findings can be used within decision support systems to promote evidence-based management practices for pediatric CAP.

Time to Clinical Stability in Children With Community-Acquired Pneumonia

BACKGROUND AND OBJECTIVES

Time to clinical stability (TCS) is a commonly used outcome in adults with community-acquired pneumonia (CAP), yet few studies have evaluated TCS in children. Our objective was to determine the association between TCS and disease severity in children with suspected CAP, as well as factors associated with reaching early stability.

METHODS

This is a prospective cohort study of children (aged 3 months to 18 years) hospitalized with suspected CAP. TCS parameters included temperature, heart rate, respiratory rate, and hypoxemia with the use of supplemental oxygen. TCS was defined as time from admission to parameter normalization. The association of TCS with severity and clinical factors associated with earlier TCS were evaluated.

RESULTS

Of 571 children, 187 (32.7%) had at least 1 abnormal parameter at discharge, and none had ≥3 abnormal discharge parameters. A greater proportion of infants (90 [93%]) had all 4 parameters stable at discharge compared with 12- to 18-year-old youths (21 [49%]). The median TCS for each parameter was <24 hours. Younger age, absence of vomiting, diffusely decreased breath sounds, and normal capillary refill were associated with earlier TCS. Children who did not reach stability were not more likely to revisit after discharge.

CONCLUSIONS

A TCS outcome consisting of physiologic variables may be useful for objectively assessing disease recovery and clinical readiness for discharge among children hospitalized with CAP. TCS may decrease length of stay if implemented to guide discharge decisions. Clinicians can consider factors associated with earlier TCS for management decisions.

Features Associated With Radiographic Pneumonia in Children with SARS-CoV-2

14% of children with SARS-CoV-2 infections had radiographic pneumonia. Hypoxemia, cough, higher temperature, and older age were associated with pneumonias. In children tested, SARS-CoV-2 test results were not associated with radiographic pneumonia.

Construction and external validation of a scoring prediction model for mortality risk within 30 days of community-acquired pneumonia in children admitted to the pediatric intensive care unit: A multicenter retrospective case-control study

In this study, we constructed and validated a scoring prediction model to identify children admitted to the pediatric intensive care unit (PICU) with community-acquired pneumonia (CAP) at risk for early death. Children with CAP who were admitted to the PICU were included in the training set and divided into death and survival groups according to whether they died within 30 days of admission. For univariate and multifactorial analyses, demographic characteristics, vital signs at admission, and laboratory test results were collected separately from the 2 groups, and independent risk factors were derived to construct a scoring prediction model. The ability of the scoring model to predict CAP-related death was validated by including children with CAP hospitalized at 3 other centers during the same period in the external validation set. Overall, the training and validation sets included 296 and 170 children, respectively. Univariate and multifactorial analyses revealed that procalcitonin (PCT), lactate dehydrogenase (LDH), activated partial thromboplastin time (APTT), and fibrinogen (Fib) were independent risk factors. The constructed scoring prediction model scored 2 points each for PCT ≥ 0.375 ng/mL, LDH ≥ 490 U/L, and APTT ≥ 31.8 s and 1 point for Fib ≤ 1.78 g/L, with a total model score of 0-7 points. When the score was ≥ 5 points, the sensitivity and specificity of mortality diagnosis in children with CAP were 72.7% and 87.5%, respectively. In the external validation set, the sensitivity, specificity, and accuracy of the scoring model for predicting the risk of CAP-related death were 64.0%, 92.4%, and 88.2%, respectively. Constructing a scoring prediction model is worth promoting and can aid pediatricians in simply and rapidly evaluating the risk of death in children with CAP, particularly those with complex conditions.

Identifying neonates at risk for post-discharge mortality in Dar es Salaam, Tanzania, and Monrovia, Liberia: Derivation and internal validation of a novel risk assessment tool

INTRODUCTION

The immediate period after hospital discharge carries a large burden of childhood mortality in sub-Saharan Africa. Our objective was to derive and internally validate a risk assessment tool to identify neonates discharged from the neonatal ward at risk for 60-day post-discharge mortality.

METHODS

We conducted a prospective observational cohort study of neonates discharged from Muhimbili National Hospital in Dar es Salaam, Tanzania, and John F Kennedy Medical Centre in Monrovia, Liberia. Research staff called caregivers to ascertain vital status up to 60 days after discharge. We conducted multivariable logistic regression analyses with best subset selection to identify socioeconomic, demographic, clinical, and anthropometric factors associated with post-discharge mortality. We used adjusted log coefficients to assign points to each variable and internally validated our tool with bootstrap validation with 500 repetitions.

RESULTS

There were 2344 neonates discharged and 2310 (98.5%) had post-discharge outcomes available. The median (IQR) age at discharge was 8 (4, 15) days; 1238 (53.6%) were male. In total, 71 (3.1%) died during follow-up (26.8% within 7 days of discharge). Leaving against medical advice (adjusted OR [aOR] 5.62, 95% CI 2.40 to 12.10) and diagnosis of meconium aspiration (aOR 6.98, 95% CI 1.69 to 21.70) conferred the greatest risk for post-discharge mortality. The risk assessment tool included nine variables (total possible score=63) and had an optimism corrected area under the receiver operating characteristic curve of 0.77 (95% CI 0.75 to 0.80). A score of ≥6 was most optimal (sensitivity 68.3% [95% CI 64.8% to 71.5%], specificity 72.1% [95% CI 71.5% to 72.7%]).

CONCLUSIONS

A small number of factors predicted all-cause, 60-day mortality after discharge from neonatal wards in Tanzania and Liberia. After external validation, this risk assessment tool may facilitate clinical decision making for eligibility for discharge and the direction of resources to follow-up high risk neonates.

Community-Acquired Pneumonia in Children

ABSTRACT

Community-acquired pneumonia (CAP) is the most common cause of childhood mortality globally. In the United States, CAP is a leading cause of pediatric hospitalization and antibiotic use and is associated with substantial morbidity. There has been a dramatic shift in microbiological etiologies for CAP in children over time as pneumococcal pneumonia has become less common and viral etiologies have become predominant. There is no commonly agreed on approach to the diagnosis of CAP in children. When indicated, antimicrobial treatment should consist of narrow-spectrum antibiotics. In this article, we will describe the current understanding of the microbiological etiologies, clinical presentation, diagnostic approach, risk factors, treatment, and future directions in the diagnosis and management of pediatric CAP.

Management of Pediatric Pneumonia: A Decade After the Pediatric Infectious Diseases Society and Infectious Diseases Society of America Guideline

BACKGROUND

Incomplete uptake of guidelines can lead to nonstandardized care, increased expenditures, and adverse clinical outcomes. The objective of this study was to evaluate the impact of the 2011 Pediatric Infectious Diseases Society and Infectious Diseases Society of America (PIDS/IDSA) pediatric community-acquired pneumonia (CAP) guideline that emphasized aminopenicillin use and de-emphasized the use of chest radiographs (CXRs) in certain populations.

METHODS

This quasi-experimental study queried a national administrative database of children's hospitals to identify children aged 3 months-18 years with CAP who visited 1 of 28 participating hospitals from 2009 to 2021. PIDS/IDSA pediatric CAP guideline recommendations regarding antibiotic therapy, diagnostic testing, and imaging were evaluated. Segmented regression interrupted time series was used to measure guideline-concordant practices with interruptions for guideline publication and the Coronavirus Disease 2019 (COVID-19) pandemic.

RESULTS

Of 315 384 children with CAP, 71 804 (22.8%) were hospitalized. Among hospitalized children, there was a decrease in blood culture performance (0.5% per quarter) and increase in aminopenicillin prescribing (1.1% per quarter). Among children discharged from the emergency department (ED), there was an increase in aminopenicillin prescription (0.45% per quarter), whereas the rate of obtaining CXRs declined (0.12% per quarter). However, use of CXRs rebounded during the COVID-19 pandemic (increase of 1.56% per quarter). Hospital length of stay, ED revisit rates, and hospital readmission rates remained stable.

CONCLUSIONS

Guideline publication was associated with an increase of aminopenicillin prescribing. However, rates of diagnostic testing did not materially change, suggesting the need to consider implementation strategies to meaningfully change clinical practice for children with CAP.

Clinical features and risk factors analysis for poor outcomes of severe community-acquired pneumonia in children: a nomogram prediction model

Background

Pneumonia remains the leading cause of death among children aged 1-59 months. The early prediction of poor outcomes (PO) is of critical concern. This study aimed to explore the risk factors relating to PO in severe community-acquired pneumonia (SCAP) and build a PO-predictive nomogram model for children with SCAP.

Methods

We retrospectively identified 300 Chinese pediatric patients diagnosed with SCAP who were hospitalized in the Affiliated Hospital of Southwest Medical University from August 1, 2018, to October 31, 2021. Children were divided into the PO and the non-PO groups. The occurrence of PO was designated as the dependent variable. Univariate and multivariate logistic regression analyses were used to identify the risk factors of PO. A nomogram model was constructed from the multivariate logistic regression analysis and internally validated for model discrimination and calibration. The performance of the nomogram was estimated using the concordance index (C-index).

Results

According to the efficacy evaluation criteria, 56 of 300 children demonstrated PO. The multivariate logistic regression analysis resulted in the following independent risk factors for PO: co-morbidity (OR: 8.032, 95% CI: 3.556-18.140, P < 0.0001), requiring invasive mechanical ventilation (IMV) (OR: 7.081, 95% CI: 2.250-22.282, P = 0.001), and ALB < 35 g/L (OR: 3.203, 95% CI: 1.151-8.912, P = 0.026). Results of the internal validation confirmed that the model provided good discrimination (concordance index [C-index], 0.876 [95% CI: 0.828-0.925]). The calibration plots in the nomogram model were of high quality.

Conclusion

The nomogram facilitated accurate prediction of PO in children diagnosed with SCAP and could be helpful for clinical decision-making.

Viral Detection Is Associated With Severe Disease in Children With Suspected Community-Acquired Pneumonia

OBJECTIVE

To evaluate the role of virus detection on disease severity among children presenting to the emergency department (ED) with suspected community-acquired pneumonia (CAP).

METHODS

We performed a single-center prospective study of children presenting to a pediatric ED with signs and symptoms of a lower respiratory tract infection and who had a chest radiograph performed for suspected CAP. We included patients who had virus testing, with results classified as negative for virus, human rhinovirus, respiratory syncytial virus (RSV), influenza, and other viruses. We evaluated the association between virus detection and disease severity using a 4-tiered measure of disease severity based on clinical outcomes, ranging from mild ( discharged from the ED) to severe (receipt of positive-pressure ventilation, vasopressors, thoracostomy tube placement, or extracorporeal membrane oxygenation, intensive care unit admission, diagnosis of severe sepsis or septic shock, or death) in models adjusted for age, procalcitonin, C-reactive protein, radiologist interpretation of the chest radiograph, presence of wheeze, fever, and provision of antibiotics.

RESULTS

Five hundred seventy-three patients were enrolled in the parent study, of whom viruses were detected in 344 (60%), including 159 (28%) human rhinovirus, 114 (20%) RSV, and 34 (6%) with influenza. In multivariable models, viral infections were associated with increasing disease severity, with the greatest effect noted with RSV (adjusted odds ratio [aOR], 2.50; 95% confidence interval [CI], 1.30-4.81) followed by rhinovirus (aOR, 2.18; 95% CI, 1.27-3.76). Viral detection was not associated with increased severity among patients with radiographic pneumonia (n = 223; OR, 1.82; 95% CI, 0.87-3.87) but was associated with severity among patients without radiographic pneumonia (n = 141; OR, 2.51; 95% CI, 1.40-4.59).

CONCLUSIONS

The detection of a virus in the nasopharynx was associated with more severe disease compared with no virus; this finding persisted after adjustment for age, biomarkers, and radiographic findings. Viral testing may assist with risk stratification of patients with lower respiratory tract infections.

Developing Consensus on Clinical Outcomes for Children with Mild Pneumonia: A Delphi Study

BACKGROUND

The absence of consensus for outcomes in pediatric antibiotic trials is a major barrier to research harmonization and clinical translation. We sought to develop expert consensus on study outcomes for clinical trials of children with mild community-acquired pneumonia (CAP).

METHODS

Applying the Delphi method, a multispecialty expert panel ranked the importance of various components of clinical response and treatment failure outcomes in children with mild CAP for use in research. During Round 1, panelists suggested additional outcomes in open-ended responses that were added to subsequent rounds of consensus building. For Rounds 2 and 3, panelists were provided their own prior responses and summary statistics for each item in the previous round. The consensus was defined by >70% agreement.

RESULTS

The expert panel determined that response to and failure of treatment should be addressed at a median of 3 days after initiation. Complete or substantial improvement in fever, work of breathing, dyspnea, tachypnea when afebrile, oral intake, and activity should be included as components of adequate clinical response outcomes. Clinical signs and symptoms including persistent or worsening fever, work of breathing, and reduced oral intake should be included in treatment failure outcomes. Interventions including receipt of parenteral fluids, supplemental oxygen, need for high-flow nasal cannula oxygen therapy, and change in prescription of antibiotics should also be considered in treatment failure outcomes.

CONCLUSIONS

Clinical response and treatment failure outcomes determined by the consensus of this multidisciplinary expert panel can be used for pediatric CAP studies to provide objective data translatable to clinical practice.

Serum level of S100A8/A9 as a biomarker for establishing the diagnosis and severity of community-acquired pneumonia in children

Background

S100A8/A9, which is a member of S100 proteins, may be involved in the pathophysiology of Community-acquired pneumonia (CAP) that seriously threatens children's health. However, circulating markers to assess the severity of pneumonia in children are yet to be explored. Therefore, we aimed to investigate the diagnostic performance of serum S100A8/A9 level in determining the severity of CAP in children.

Methods

In this prospective and observational study, we recruited 195 in-hospital children diagnosed with CAP. In comparison, 63 healthy children (HC) and 58 children with non-infectious pneumonia (pneumonitis) were included as control groups. Demographic and clinical data were collected. Serum S100A8/A9 levels, serum pro-calcitonin concentrations, and blood leucocyte counts were quantified.

Results

The serum S100A8/A9 levels in patients with CAP was 1.59 ± 1.32 ng/mL, which was approximately five and two times higher than those in healthy controls and those in children with pneumonitis, respectively. Serum S100A8/A9 was elevated parallelly with the clinical pulmonary infection score. The sensitivity, specificity, and Youden's index of S100A8/A9 ≥1.25 ng/mL for predicting the severity of CAP in children was optimal. The area under the receiver operating characteristic curve of S100A8/A9 was the highest among the indices used to evaluate severity.

Conclusions

S100A8/A9 may serve as a biomarker for predicting the severity of the condition in children with CAP and establishing treatment grading.

Antibiotic use and outcomes among children hospitalized with suspected pneumonia

BACKGROUND

Although viral etiologies predominate, antibiotics are frequently prescribed for community-acquired pneumonia (CAP).

OBJECTIVE

We evaluated the association between antibiotic use and outcomes among children hospitalized with suspected CAP.

DESIGNS, SETTINGS AND PARTICIPANTS

We performed a secondary analysis of a prospective cohort of children hospitalized with suspected CAP.

INTERVENTION

The exposure was the receipt of antibiotics in the emergency department (ED).

MAIN OUTCOME AND MEASURES

Clinical outcomes included length of stay (LOS), care escalation, postdischarge treatment failure, 30-day ED revisit, and quality-of-life (QoL) measures from a follow-up survey 7-15 days post discharge. To minimize confounding by indication (e.g., radiographic CAP), we performed inverse probability treatment weighting with propensity analyses.

RESULTS

Among 523 children, 66% were <5 years, 88% were febrile, 55% had radiographic CAP, and 55% received ED antibiotics. The median LOS was 41 h (IQR: 25, 54). After propensity analyses, there were no differences in LOS, escalated care, treatment failure, or revisits between children who received antibiotics and those who did not. Seventy-one percent of patients completed follow-up surveys after discharge. Among 16% of patients with fevers after discharge, the median fever duration was 2 days, and those who received antibiotics had a 37% decrease in the mean number of days with fever (95% confidence interval: 20% and 51%). We found no statistical differences in other QoL measures.

Incorporation of Suppression of Tumorigenicity 2 into Random Survival Forests for Enhancing Prediction of Short-Term Prognosis in Community-ACQUIRED Pneumonia

(1) Background: Biomarker and model development can help physicians adjust the management of patients with community-acquired pneumonia (CAP) by screening for inpatients with a low probability of cure early in their admission; (2) Methods: We conducted a 30-day cohort study of newly admitted adult CAP patients over 20 years of age. Prognosis models to predict the short-term prognosis were developed using random survival forest (RSF) method; (3) Results: A total of 247 adult CAP patients were studied and 208 (84.21%) of them reached clinical stability within 30 days. The soluble form of suppression of tumorigenicity-2 (sST2) was an independent predictor of clinical stability and the addition of sST2 to the prognosis model could improve the performance of the prognosis model. The C-index of the RSF model for predicting clinical stability was 0.8342 (95% CI, 0.8086–0.8598), which is higher than 0.7181 (95% CI, 0.6933–0.7429) of CURB 65 score, 0.8025 (95% CI, 0.7776–8274) of PSI score, and 0.8214 (95% CI, 0.8080–0.8348) of cox regression. In addition, the RSF model was associated with adverse clinical events during hospitalization, ICU admissions, and short-term mortality; (4) Conclusions: The RSF model by incorporating sST2 was more accurate than traditional methods in assessing the short-term prognosis of CAP patients.

A CT-based nomogram for differentiating invasive fungal disease of the lung from bacterial pneumonia

Background

There is an annual increase in the incidence of invasive fungal disease (IFD) of the lung worldwide, but it is always a challenge for physicians to make an early diagnosis of IFD of the lung. Computed tomography (CT) may play a certain role in the diagnosis of IFD of the lung, however, there are no specific imaging signs for differentiating IFD of lung from bacterial pneumonia (BP).

Methods

A total of 214 patients with IFD of the lung or clinically confirmed BP were retrospectively enrolled from two institutions (171 patients from one institution in the training set and 43 patients from another institution in the test set). The features of thoracic CT images of the 214 patients were analyzed on the picture archiving and communication system by two radiologists, and these CT images were imported into RadCloud to perform radiomics analysis. A clinical model from radiologic analysis, a radiomics model from radiomics analysis and a combined model from integrating radiologic and radiomics analysis were constructed in the training set, and a nomogram based on the combined model was further developed. The area under the ROC curve (AUC) of the receiver operating characteristic (ROC) curve was calculated to assess the diagnostic performance of the three models. Decision curve analysis (DCA) was conducted to evaluate the clinical utility of the three models by estimating the net benefit at a range of threshold probabilities.

Results

The AUCs of the clinical model for differentiating IFD of lung from BP in the training set and test sets were 0.820 and 0.827. The AUCs of the radiomics model in the training set and test sets were 0.895 and 0.857. The AUCs of the combined model in the training set and test setswere 0.944 and 0.911. The combined model for differentiating IFD of lung from BP obtained the greatest net benefit among the three models by DCA.

Conclusion

Our proposed nomogram, based on a combined model integrating radiologic and radiomics analysis, has a powerful predictive capability for differentiating IFD from BP. A good clinical outcome could be obtained using our nomogram.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12880-022-00903-5.

Factors Associated With Antibiotic Use for Children Hospitalized With Pneumonia

BACKGROUND

Antibiotics are frequently used for community-acquired pneumonia (CAP), although viral etiologies predominate. We sought to determine factors associated with antibiotic use among children hospitalized with suspected CAP.

METHODS

We conducted a prospective cohort study of children who presented to the emergency department (ED) and were hospitalized for suspected CAP. We estimated risk factors associated with receipt of ≥1 dose of inpatient antibiotics and a full treatment course using multivariable Poisson regression with an interaction term between chest radiograph (CXR) findings and ED antibiotic use. We performed a subgroup analysis of children with nonradiographic CAP.

RESULTS

Among 477 children, 60% received inpatient antibiotics and 53% received a full course. Factors associated with inpatient antibiotics included antibiotic receipt in the ED (relative risk 4.33 [95% confidence interval, 2.63-7.13]), fever (1.66 [1.22-2.27]), and use of supplemental oxygen (1.29 [1.11-1.50]). Children with radiographic CAP and equivocal CXRs had an increased risk of inpatient antibiotics compared with those with normal CXRs, but the increased risk was modest when antibiotics were given in the ED. Factors associated with a full course were similar. Among patients with nonradiographic CAP, 29% received inpatient antibiotics, 21% received a full course, and ED antibiotics increased the risk of inpatient antibiotics.

CONCLUSIONS

Inpatient antibiotic utilization was associated with ED antibiotic decisions, CXR findings, and clinical factors. Nearly one-third of children with nonradiographic CAP received antibiotics, highlighting the need to reduce likely overuse. Antibiotic decisions in the ED were strongly associated with decisions in the inpatient setting, representing a modifiable target for future interventions.

Factors associated with serious outcomes of pneumonia among children in a birth cohort in South Africa

BACKGROUND

Child hospitalization for pneumonia remains common, and pneumonia is a major cause of child mortality. Early identification of clinical factors associated with serious outcomes may help target risk-mitigation strategies.

METHODS

Pneumonia cases occurring in the Drakenstein Child Health Study, a prospective birth cohort outside Cape Town, South Africa were analysed, and factors associated with serious outcomes of pneumonia were identified. Pregnant women were enrolled antenatally, followed through pregnancy, and mother-child pairs from birth to 2 years. Active surveillance for pneumonia was done. Children hospitalized with pneumonia had chest radiography and blood drawn for inflammatory markers; course, outcome and duration of hospitalization were investigated. Serious outcomes were defined as in-hospital mortality or admission to intensive care unit (ICU). Prolonged hospitalization was also explored as a proxy for severity. Features associated with serious outcomes or prolonged hospitalization were analysed using modified Poisson regression.

RESULTS

Among 1143 live born infants, there were 174 hospitalized pneumonia events in 133 children under 2 years. Three children (1.7%) died, 14 (8%) required ICU admission for respiratory support. In modified Poisson regression, age < 2 months, preterm birth, or hypoxia (oxygen saturation <92%) were significantly associated with serious outcomes. Preterm birth, low birth weight, HIV exposure, stunting, or underweight-for-age (UWFA) were associated with prolonged hospitalization. Chest radiography, elevated C reactive protein, white blood cell and neutrophil counts were not useful to predict death or ICU admission in children hospitalized with pneumonia.

CONCLUSIONS

In this cohort, death from pneumonia was rare, but clinical features associated with serious outcomes and prolonged hospitalization were identified. These may help with risk stratification, to identify children who may benefit from enhanced monitoring or earlier escalation to respiratory support.

Clinical Utility of Midregional Proadrenomedullin in Patients with COVID-19

Objective

The aim of the study was to assess the role of midregional proadrenomedullin (MR-proADM) in patients with COVID-19.

Methods

We included 110 patients hospitalized for COVID-19. Biochemical biomarkers, including MR-proADM, were measured at admission. The association of plasma MR-proADM levels with COVID-19 severity, defined as a requirement for mechanical ventilation or in-hospital mortality, was evaluated.

Results

Patients showed increased levels of MR-proADM. In addition, MR-proADM was higher in patients who died during hospitalization than in patients who survived (median, 2.59 nmol/L; interquartile range, 2.3–2.95 vs median, 0.82 nmol/L; interquartile range, 0.57–1.03; P <.0001). Receiver operating characteristic curve analysis showed good accuracy of MR-proADM for predicting mortality. A MR-proADM value of 1.73 nmol/L was established as the best cutoff value, with 90% sensitivity and 95% specificity (P <.0001).

Conclusion

We found that MR-proADM could represent a prognostic biomarker of COVID-19.