Dataset Information

Prediction of Adverse Outcomes in Pediatric Acute Hematogenous Osteomyelitis.

ABSTRACT:

Background

Clinicians cannot reliably predict complications of acute hematogenous osteomyelitis (AHO).

Methods

Consecutive cases of AHO from 2 pediatric centers in the United States were analyzed retrospectively to develop clinical tools from data obtained within 96 hours of hospitalization to predict acute and chronic complications of AHO. Two novel composite prediction scores derived from multivariable logistic regression modeling were compared with a previously published severity of illness (SOI) score, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) using area under the receiver operating characteristic curve analyses.

Results

The causative organisms were identified in 73% of 261 cases. Bacteremia (45%), abscesses (38%), and associated suppurative arthritis (23%) were relatively common. Acute or chronic complications occurred in 24% and 11% of patients, respectively. Multivariable logistic regression identified bone abscess (odds ratio [OR], 2.3 [95% confidence interval {CI}, 1.0-5.2]), fever > 48 hours (OR, 2.7 [95% CI, 1.2-6.0]), suppurative arthritis (OR, 3.2 [95% CI, 1.3-7.5]), disseminated disease (OR, 4.6 [95% CI, 1.5-14.3]), and delayed source control (OR, 5.1 [95% CI, 1.4-19.0]) as strong predictors of acute complications. In a separate model, CRP ? 100 mg/L at 2-4 days after antibiotics (OR, 2.7 [95% CI, 1.0-7.3]), disseminated disease (OR, 3.3 [95% CI, 1.1-10.0]), and requirement for bone debridement (OR, 6.7 [95% CI, 2.1-21.0]) strongly predicted chronic morbidity. These variables were combined to create weighted composite prediction scores for acute (A-SCORE) and chronic (C-SCORE) osteomyelitis, which were superior to SOI, CRP, and ESR and had negative predictive values > 90%.

Conclusions

Two novel composite clinical scores were superior to existing tools to predict complications of pediatric AHO.

SUBMITTER: Alhinai Z

PROVIDER: S-EPMC7904074 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Prediction of Adverse Outcomes in Pediatric Acute Hematogenous Osteomyelitis.

Alhinai Zaid Z Elahi Morvarid M Park Sangshin S Foo Bill B Lee Brian B Chapin Kimberle K Koster Michael M Sánchez Pablo J PJ Michelow Ian C IC

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 20201201 9

<h4>Background</h4>Clinicians cannot reliably predict complications of acute hematogenous osteomyelitis (AHO).<h4>Methods</h4>Consecutive cases of AHO from 2 pediatric centers in the United States were analyzed retrospectively to develop clinical tools from data obtained within 96 hours of hospitalization to predict acute and chronic complications of AHO. Two novel composite prediction scores derived from multivariable logistic regression modeling were compared with a previously published severi ...[more]

PMID: 32129457

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Project description:AimsThis study aims to evaluate the diagnostic value of blood metagenomic next-generation sequencing (mNGS) in detecting pathogens from patients clinically diagnosed as acute hematogenous osteomyelitis (AHO).MethodsThis retrospective study enrolled 66 patients with AHO. The test results of mNGS and bacterial culture on different samples, including blood and puncture fluid samples, from patients with AHO were compared to explore the diagnostic value of blood mNGS. Besides, this study also explored the efficacy of blood mNGS in decision making for antibiotic administration and analyzed the factors associated with the positive result of blood mNGS.ResultsThe most common causative pathogens were Staphylococcus and Streptococcus. The sensitivity of blood mNGS (77.3%) was higher than that of blood culture (42.4%) (P<0.001), while the turnaround time of blood mNGS (2.1 ± 0.4 d) is much less than that of blood culture (6.0 ± 2.1 d) (P<0.001). Besides, the sensitivity of blood mNGS tests (77.3%) was slightly lower than that of puncture fluid mNGS (89.4%). Furthermore, detection comparison at pathogen level unravels that blood mNGS might be suitable for diagnosing AHO caused by common pathogens, while puncture fluid mNGS could be considered as preferred examination in diagnosing AHO caused by uncommon pathogens. Finally, three independent factors associated with the true positive result of blood mNGS in patients with AHO were identified, including Gram-positive pathogens (OR=24.4, 95% CI = 1.4-421.0 for Staphylococcus; OR=14.9, 95%CI= 1.6-136.1 for other Gram-positive bacteria), body temperature at sampling time (OR=8.2, 95% CI = 0.6-107.3 for body temperature of >38.5°C; OR=17.2, 95% CI = 2.0-149.1 for patients who were chilling), and no use of antibiotics before sampling (OR=8.9, 95% CI =1.4-59.0).ConclusionThis is the first report on evaluating and emphasizing the importance of blood mNGS in diagnosing AHO. Blood sample might be an alternative sample for puncture fluid for mNGS, and its extensive application in diagnosing AHO could be expected.

Project description:Background:Children with acute hematogenous osteomyelitis (AHO) have a broad spectrum of illness ranging from mild to severe. The purpose of this study is to evaluate the impact of genomic variation of Staphylococcus aureus on clinical phenotype of affected children and determine which virulence genes correlate with severity of illness. Methods:De novo whole genome sequencing was conducted for a strain of Community Acquired Methicillin Resistant Staphylococcus aureus (CA-MRSA), using PacBio Hierarchical Genome Assembly Process (HGAP) from 6 Single Molecule Real Time (SMRT) Cells, as a reference for DNA library assembly of 71 Staphylococcus aureus isolates from children with AHO. Virulence gene annotation was based on exhaustive literature review and genomic data in NCBI for Staphylococcus aureus. Clinical phenotype was assessed using a validated severity score. Kruskal-Wallis rank sum test determined association between clinical severity and virulence gene presence using False Discovery Rate (FDR), significance <0.01. Results:PacBio produced an assembled genome of 2,898,306 bp and 2054 Open Reading Frames (ORFs). Annotation confirmed 201 virulence genes. Statistical analysis of gene presence by clinical severity found 40 genes significantly associated with severity of illness (FDR ?0.009). MRSA isolates encoded a significantly greater number of virulence genes than did MSSA (p < 0.0001). Phylogenetic analysis by maximum likelihood (PAML) demonstrated the relatedness of genomic distance to clinical phenotype. Conclusions:The Staphylococcus aureus genome contains virulence genes which are significantly associated with severity of illness in children with osteomyelitis. This study introduces a novel reference strain and detailed annotation of Staphylococcus aureus virulence genes. While this study does not address bacterial gene expression, a platform is created for future transcriptome investigations to elucidate the complex mechanisms involved in childhood osteomyelitis.

Project description:BackgroundPrevious genetic research in pediatric cardiomyopathy (CM) has focused on pathogenic variants for diagnostic purposes, with limited data evaluating genotype-outcome correlations. We explored whether greater genetic variant burden (pathogenic or variants of unknown significance, VUS) correlates with worse outcomes.MethodsChildren with dilated CM (DCM) and hypertrophic CM (HCM) who underwent multigene testing between 2010 and 2018 were included. Composite endpoint was freedom from major adverse cardiac event (MACE).ResultsThree hundred and thirty-eight subjects were included [49% DCM, median age 5.7 (interquartile range (IQR) 0.2-13.4) years, 51% HCM, median age 3.0 (IQR 0.1-12.5) years]. Pathogenic variants alone were not associated with MACE in either cohort (DCM p = 0.44; HCM p = 0.46). In DCM, VUS alone [odds ratio (OR) 4.0, 95% confidence interval (CI) 1.9-8.3] and in addition to pathogenic variants (OR 5.2, 95% CI 1.7-15.9) was associated with MACE. The presence of VUS alone or in addition to pathogenic variants were not associated with MACE in HCM (p = 0.22 and p = 0.33, respectively).ConclusionIncreased genetic variant burden (pathogenic variants and VUS) is associated with worse clinical outcomes in DCM but not HCM. Genomic variants that influence DCM onset may be distinct from those driving disease progression, highlighting the potential value of universal genetic testing to improve risk stratification.ImpactIn pediatric CM, inconsistent findings historically have been shown between genotype and phenotype severity when only pathogenic variants have been considered. Increased genetic variant burden (including both pathogenic variants and VUS) is associated with worse clinical outcomes in DCM but not HCM. Genomic variants that influence CM onset may be distinct from those variants that drive disease progression and influence outcomes in phenotype-positive individuals. Incorporation of both pathogenic variants and VUS may improve risk stratification models in pediatric CM.

Dataset Information

Prediction of Adverse Outcomes in Pediatric Acute Hematogenous Osteomyelitis.

Background

Methods

Results

Conclusions

Publications

Prediction of Adverse Outcomes in Pediatric Acute Hematogenous Osteomyelitis.

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