Browsing by Author "Cvijanovich, Natalie Z."

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    Characteristics and Outcomes of US Children and Adolescents With Multisystem Inflammatory Syndrome in Children (MIS-C) Compared With Severe Acute COVID-19
    (AMA, 2021-02) Feldstein, Leora R.; Tenforde, Mark W.; Friedman, Kevin G.; Newhams, Margaret; Rose, Erica Billig; Dapul, Heda; Soma, Vijaya L.; Maddux, Aline B.; Mourani, Peter M.; Bowens, Cindy; Maamari, Mia; Hall, Mark W.; Riggs, Becky J.; Giuliano, John S.; Singh, Aalok R.; Li, Simon; Kong, Michele; Schuster, Jennifer E.; McLaughlin, Gwenn E.; Schwartz, Stephanie P.; Walker, Tracie C.; Loftis, Laura L.; Hobbs, Charlotte V.; Halasa, Natasha B.; Doymaz, Sule; Babbitt, Christopher J.; Hume, Janet R.; Gertz, Shira J.; Irby, Katherine; Clouser, Katharine N.; Cvijanovich, Natalie Z.; Bradford, Tamara T.; Smith, Lincoln S.; Heidemann, Sabrina M.; Zackai, Sheemon P.; Wellnitz, Kari; Nofziger, Ryan A.; Horwitz, Steven M.; Carroll, Ryan W.; Rowan, Courtney M.; Tarquinio, Keiko M.; Mack, Elizabeth H.; Fitzgerald, Julie C.; Coates, Bria M.; Jackson, Ashley M.; Young, Cameron C.; Son, Mary Beth F.; Patel, Manish M.; Newburger, Jane W.; Randolph, Adrienne G.; Overcoming COVID-19 Investigators; Pediatrics, School of Medicine
    Importance Refinement of criteria for multisystem inflammatory syndrome in children (MIS-C) may inform efforts to improve health outcomes. Objective To compare clinical characteristics and outcomes of children and adolescents with MIS-C vs those with severe coronavirus disease 2019 (COVID-19). Setting, Design, and Participants Case series of 1116 patients aged younger than 21 years hospitalized between March 15 and October 31, 2020, at 66 US hospitals in 31 states. Final date of follow-up was January 5, 2021. Patients with MIS-C had fever, inflammation, multisystem involvement, and positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcriptase–polymerase chain reaction (RT-PCR) or antibody test results or recent exposure with no alternate diagnosis. Patients with COVID-19 had positive RT-PCR test results and severe organ system involvement. Exposure SARS-CoV-2. Main Outcomes and Measures Presenting symptoms, organ system complications, laboratory biomarkers, interventions, and clinical outcomes. Multivariable regression was used to compute adjusted risk ratios (aRRs) of factors associated with MIS-C vs COVID-19. Results Of 1116 patients (median age, 9.7 years; 45% female), 539 (48%) were diagnosed with MIS-C and 577 (52%) with COVID-19. Compared with patients with COVID-19, patients with MIS-C were more likely to be 6 to 12 years old (40.8% vs 19.4%; absolute risk difference [RD], 21.4% [95% CI, 16.1%-26.7%]; aRR, 1.51 [95% CI, 1.33-1.72] vs 0-5 years) and non-Hispanic Black (32.3% vs 21.5%; RD, 10.8% [95% CI, 5.6%-16.0%]; aRR, 1.43 [95% CI, 1.17-1.76] vs White). Compared with patients with COVID-19, patients with MIS-C were more likely to have cardiorespiratory involvement (56.0% vs 8.8%; RD, 47.2% [95% CI, 42.4%-52.0%]; aRR, 2.99 [95% CI, 2.55-3.50] vs respiratory involvement), cardiovascular without respiratory involvement (10.6% vs 2.9%; RD, 7.7% [95% CI, 4.7%-10.6%]; aRR, 2.49 [95% CI, 2.05-3.02] vs respiratory involvement), and mucocutaneous without cardiorespiratory involvement (7.1% vs 2.3%; RD, 4.8% [95% CI, 2.3%-7.3%]; aRR, 2.29 [95% CI, 1.84-2.85] vs respiratory involvement). Patients with MIS-C had higher neutrophil to lymphocyte ratio (median, 6.4 vs 2.7, P < .001), higher C-reactive protein level (median, 152 mg/L vs 33 mg/L; P < .001), and lower platelet count (<150 ×103 cells/μL [212/523 {41%} vs 84/486 {17%}, P < .001]). A total of 398 patients (73.8%) with MIS-C and 253 (43.8%) with COVID-19 were admitted to the intensive care unit, and 10 (1.9%) with MIS-C and 8 (1.4%) with COVID-19 died during hospitalization. Among patients with MIS-C with reduced left ventricular systolic function (172/503, 34.2%) and coronary artery aneurysm (57/424, 13.4%), an estimated 91.0% (95% CI, 86.0%-94.7%) and 79.1% (95% CI, 67.1%-89.1%), respectively, normalized within 30 days. Conclusions and Relevance This case series of patients with MIS-C and with COVID-19 identified patterns of clinical presentation and organ system involvement. These patterns may help differentiate between MIS-C and COVID-19.
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    Data-driven clustering identifies features distinguishing multisystem inflammatory syndrome from acute COVID-19 in children and adolescents
    (Elsevier, 2021-08-31) Geva, Alon; Patel, Manish M.; Geva, Alon; Patel, Manish M.; Newhams, Margaret M.; Young, Cameron C.; Son, Mary Beth F.; Kong, Michele; Maddux, Aline B.; Hall, Mark W.; Riggs, Becky J.; Singh, Aalok R.; Giuliano, John S.; Hobbs, Charlotte V.; Loftis, Laura L.; McLaughlin, Gwenn E.; Schwartz, Stephanie P.; Schuster, Jennifer E.; Babbitt, Christopher J.; Halasa, Natasha B.; Gertz, Shira J.; Doymaz, Sule; Hume, Janet R.; Bradford, Tamara T.; Irby, Katherine; Carroll, Christopher L.; McGuire, John K.; Tarquinio, Keiko M.; Rowan, Courtney M.; Mack, Elizabeth H.; Cvijanovich, Natalie Z.; Fitzgerald, Julie C.; Spinella, Philip C.; Staat, Mary A.; Clouser, Katharine N.; Soma, Vijaya L.; Dapul, Heda; Maamari, Mia; Bowens, Cindy; Havlin, Kevin M.; Mourani, Peter M.; Heidemann, Sabrina M.; Horwitz, Steven M.; Feldstein, Leora R.; Tenforde, Mark W.; Newburger, Jane W.; Mandl, Kenneth D.; Randolph, Adrienne G.; Overcoming COVID-19 Investigators; Pediatrics, School of Medicine
    Background Multisystem inflammatory syndrome in children (MIS-C) consensus criteria were designed for maximal sensitivity and therefore capture patients with acute COVID-19 pneumonia. Methods We performed unsupervised clustering on data from 1,526 patients (684 labeled MIS-C by clinicians) <21 years old hospitalized with COVID-19-related illness admitted between 15 March 2020 and 31 December 2020. We compared prevalence of assigned MIS-C labels and clinical features among clusters, followed by recursive feature elimination to identify characteristics of potentially misclassified MIS-C-labeled patients. Findings Of 94 clinical features tested, 46 were retained for clustering. Cluster 1 patients (N = 498; 92% labeled MIS-C) were mostly previously healthy (71%), with mean age 7·2 ± 0·4 years, predominant cardiovascular (77%) and/or mucocutaneous (82%) involvement, high inflammatory biomarkers, and mostly SARS-CoV-2 PCR negative (60%). Cluster 2 patients (N = 445; 27% labeled MIS-C) frequently had pre-existing conditions (79%, with 39% respiratory), were similarly 7·4 ± 2·1 years old, and commonly had chest radiograph infiltrates (79%) and positive PCR testing (90%). Cluster 3 patients (N = 583; 19% labeled MIS-C) were younger (2·8 ± 2·0 y), PCR positive (86%), with less inflammation. Radiographic findings of pulmonary infiltrates and positive SARS-CoV-2 PCR accurately distinguished cluster 2 MIS-C labeled patients from cluster 1 patients. Interpretation Using a data driven, unsupervised approach, we identified features that cluster patients into a group with high likelihood of having MIS-C. Other features identified a cluster of patients more likely to have acute severe COVID-19 pulmonary disease, and patients in this cluster labeled by clinicians as MIS-C may be misclassified. These data driven phenotypes may help refine the diagnosis of MIS-C.
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    Neurologic Involvement in Children and Adolescents Hospitalized in the United States for COVID-19 or Multisystem Inflammatory Syndrome
    (AMA, 2021-03) LaRovere, Kerri L.; Riggs, Becky J.; Poussaint, Tina Y.; Young, Cameron C.; Newhams, Margaret M.; Maamari, Mia; Walker, Tracie C.; Singh, Aalok R.; Dapul, Heda; Hobbs, Charlotte V.; McLaughlin, Gwenn E.; Son, Mary Beth F.; Maddux, Aline B.; Clouser, Katharine N.; Rowan, Courtney M.; McGuire, John K.; Fitzgerald, Julie C.; Gertz, Shira J.; Shein, Steven L.; Munoz, Alvaro Coronado; Thomas, Neal J.; Irby, Katherine; Levy, Emily R.; Staat, Mary A.; Tenforde, Mark W.; Feldstein, Leora R.; Halasa, Natasha B.; Giuliano, John S.; Hall, Mark W.; Kong, Michele; Carroll, Christopher L.; Schuster, Jennifer E.; Doymaz, Sule; Loftis, Laura L.; Tarquinio, Keiko M.; Babbitt, Christopher J.; Nofziger, Ryan A.; Kleinman, Lawrence C.; Keenaghan, Michael A.; Cvijanovich, Natalie Z.; Spinella, Philip C.; Hume, Janet R.; Wellnitz, Kari; Mack, Elizabeth H.; Michelson, Kelly N.; Flori, Heidi R.; Patel, Manish M.; Randolph, Adrienne G.; Overcoming COVID-19 Investigators; Gaspers, Mary G; Typpo, Katri V; Sanders, Ronald C; Schwarz, Adam J; Harvey, Helen; Zinter, Matt S; Mourani, Peter M; Coates, Bria M; Bhoojhawon, Guru; Havlin, Kevin M; Montgomery, Vicki L; Sullivan, Janice E; Bradford, Tamara T; Bembea, Melania M; Lipton, Susan V; Graciano, Ana Lia; Chen, Sabrina R; Kucukak, Suden; Newburger, Jane W; Carroll, Ryan W; Fernandes, Neil D; Yager, Phoebe H; Marohn, Kimberly L; Heidemann, Sabrina M; Cullimore, Melissa L; McCulloh, Russell J; Horwitz, Steven M; Li, Simon; Walsh, Rowan F; Ratner, Adam J; Soma, Vijaya L; Gillen, Jennifer K; Zackai, Sheemon P; Ackerman, Kate G; Cholette, Jill M; Harwayne-Gidansky, Ilana; Hymes, Saul R; Overby, Philip J; Schwartz, Stephanie P; Lansell, Amanda N; Koncicki, Monica L; Carcillo, Joseph; Fink, Ericka; Kimura, Dai; Bowens, Cindy; Crandall, Hillary; Smith, Lincoln S; Cengiz, Pelin; Pediatrics, School of Medicine
    Importance Coronavirus disease 2019 (COVID-19) affects the nervous system in adult patients. The spectrum of neurologic involvement in children and adolescents is unclear. Objective To understand the range and severity of neurologic involvement among children and adolescents associated with COVID-19. Setting, Design, and Participants Case series of patients (age <21 years) hospitalized between March 15, 2020, and December 15, 2020, with positive severe acute respiratory syndrome coronavirus 2 test result (reverse transcriptase-polymerase chain reaction and/or antibody) at 61 US hospitals in the Overcoming COVID-19 public health registry, including 616 (36%) meeting criteria for multisystem inflammatory syndrome in children. Patients with neurologic involvement had acute neurologic signs, symptoms, or diseases on presentation or during hospitalization. Life-threatening involvement was adjudicated by experts based on clinical and/or neuroradiologic features. Exposures Severe acute respiratory syndrome coronavirus 2. Main Outcomes and Measures Type and severity of neurologic involvement, laboratory and imaging data, and outcomes (death or survival with new neurologic deficits) at hospital discharge. Results Of 1695 patients (909 [54%] male; median [interquartile range] age, 9.1 [2.4-15.3] years), 365 (22%) from 52 sites had documented neurologic involvement. Patients with neurologic involvement were more likely to have underlying neurologic disorders (81 of 365 [22%]) compared with those without (113 of 1330 [8%]), but a similar number were previously healthy (195 [53%] vs 723 [54%]) and met criteria for multisystem inflammatory syndrome in children (126 [35%] vs 490 [37%]). Among those with neurologic involvement, 322 (88%) had transient symptoms and survived, and 43 (12%) developed life-threatening conditions clinically adjudicated to be associated with COVID-19, including severe encephalopathy (n = 15; 5 with splenial lesions), stroke (n = 12), central nervous system infection/demyelination (n = 8), Guillain-Barré syndrome/variants (n = 4), and acute fulminant cerebral edema (n = 4). Compared with those without life-threatening conditions (n = 322), those with life-threatening neurologic conditions had higher neutrophil-to-lymphocyte ratios (median, 12.2 vs 4.4) and higher reported frequency of D-dimer greater than 3 μg/mL fibrinogen equivalent units (21 [49%] vs 72 [22%]). Of 43 patients who developed COVID-19–related life-threatening neurologic involvement, 17 survivors (40%) had new neurologic deficits at hospital discharge, and 11 patients (26%) died. Conclusions and Relevance In this study, many children and adolescents hospitalized for COVID-19 or multisystem inflammatory syndrome in children had neurologic involvement, mostly transient symptoms. A range of life-threatening and fatal neurologic conditions associated with COVID-19 infrequently occurred. Effects on long-term neurodevelopmental outcomes are unknown.
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    Prospective clinical testing and experimental validation of the Pediatric Sepsis Biomarker Risk Model
    (American Association for the Advancement of Science, 2019-11-13) Wong, Hector R.; Caldwell, J. Timothy; Cvijanovich, Natalie Z.; Weiss, Scott L.; Fitzgerald, Julie C.; Bigham, Michael T.; Jain, Parag N.; Schwarz, Adam; Lutfi, Riad; Nowak, Jeffrey; Allen, Geoffrey L.; Thomas, Neal J.; Grunwell, Jocelyn R.; Baines, Torrey; Quasney, Michael; Haileselassie, Bereketeab; Lindsell, Christopher J.; Pediatrics, School of Medicine
    Sepsis remains a major public health problem with no major therapeutic advances over the last several decades. The clinical and biological heterogeneity of sepsis have limited success of potential new therapies. Accordingly, there is considerable interest in developing a precision medicine approach to inform more rational development, testing, and targeting of new therapies. We previously developed the Pediatric Sepsis Biomarker Risk Model (PERSEVERE) to estimate mortality risk and proposed its use as a prognostic enrichment tool in sepsis clinical trials; prognostic enrichment selects patients based on mortality risk independent of treatment. Here, we show that PERSEVERE has excellent performance in a diverse cohort of children with septic shock with potential for use as a predictive enrichment strategy; predictive enrichment selects patients based on likely response to treatment. We demonstrate that the PERSEVERE biomarkers are reliably associated with mortality in mice challenged with experimental sepsis, thus providing an opportunity to test precision medicine strategies in the preclinical setting. Using this model, we tested two clinically feasible therapeutic strategies, guided by the PERSEVERE-based enrichment, and found that mice identified as high risk for mortality had a greater bacterial burden and could be rescued by higher doses of antibiotics. The association between higher pathogen burden and higher mortality risk was corroborated among critically ill children with septic shock. This bedside to bench to bedside approach provides proof of principle for PERSEVERE-guided application of precision medicine in sepsis.