IU Indianapolis ScholarWorks :: Browsing by Author "Tenforde, Mark W."

Browsing by Author "Tenforde, Mark W."

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BNT162b2 Protection against the Omicron Variant in Children and Adolescents
(Massachusetts Medical Society, 2022) Price, Ashley M.; Olson, Samantha M.; Newhams, Margaret M.; Halasa, Natasha B.; Boom, Julie A.; Sahni, Leila C.; Pannaraj, Pia S.; Irby, Katherine; Bline, Katherine E.; Maddux, Aline B.; Nofziger, Ryan A.; Cameron, Melissa A.; Walker, Tracie C.; Schwartz, Stephanie P.; Mack, Elizabeth H.; Smallcomb, Laura; Schuster, Jennifer E.; Hobbs, Charlotte V.; Kamidani, Satoshi; Tarquinio, Keiko M.; Bradford, Tamara T.; Levy, Emily R.; Chiotos, Kathleen; Bhumbra, Samina S.; Cvijanovich, Natalie Z.; Heidemann, Sabrina M.; Cullimore, Melissa L.; Gertz, Shira J.; Coates, Bria M.; Staat, Mary A.; Zinter, Matt S.; Kong, Michele; Chatani, Brandon M.; Hume, Janet R.; Typpo, Katri V.; Maamari, Mia; Flori, Heidi R.; Tenforde, Mark W.; Zambrano, Laura D.; Campbell, Angela P.; Patel, Manish M.; Randolph, Adrienne G.; Overcoming Covid-19 Investigators; Pediatrics, School of Medicine
Background: Spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) B.1.1.529 (omicron) variant, which led to increased U.S. hospitalizations for coronavirus disease 2019 (Covid-19), generated concern about immune evasion and the duration of protection from vaccines in children and adolescents. Methods: Using a case-control, test-negative design, we assessed vaccine effectiveness against laboratory-confirmed Covid-19 leading to hospitalization and against critical Covid-19 (i.e., leading to receipt of life support or to death). From July 1, 2021, to February 17, 2022, we enrolled case patients with Covid-19 and controls without Covid-19 at 31 hospitals in 23 states. We estimated vaccine effectiveness by comparing the odds of antecedent full vaccination (two doses of BNT162b2 messenger RNA vaccine) at least 14 days before illness among case patients and controls, according to time since vaccination for patients 12 to 18 years of age and in periods coinciding with circulation of B.1.617.2 (delta) (July 1, 2021, to December 18, 2021) and omicron (December 19, 2021, to February 17, 2022) among patients 5 to 11 and 12 to 18 years of age. Results: We enrolled 1185 case patients (1043 [88%] of whom were unvaccinated, 291 [25%] of whom received life support, and 14 of whom died) and 1627 controls. During the delta-predominant period, vaccine effectiveness against hospitalization for Covid-19 among adolescents 12 to 18 years of age was 93% (95% confidence interval [CI], 89 to 95) 2 to 22 weeks after vaccination and was 92% (95% CI, 80 to 97) at 23 to 44 weeks. Among adolescents 12 to 18 years of age (median interval since vaccination, 162 days) during the omicron-predominant period, vaccine effectiveness was 40% (95% CI, 9 to 60) against hospitalization for Covid-19, 79% (95% CI, 51 to 91) against critical Covid-19, and 20% (95% CI, -25 to 49) against noncritical Covid-19. During the omicron period, vaccine effectiveness against hospitalization among children 5 to 11 years of age was 68% (95% CI, 42 to 82; median interval since vaccination, 34 days). Conclusions: BNT162b2 vaccination reduced the risk of omicron-associated hospitalization by two thirds among children 5 to 11 years of age. Although two doses provided lower protection against omicron-associated hospitalization than against delta-associated hospitalization among adolescents 12 to 18 years of age, vaccination prevented critical illness caused by either variant.
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.
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.
Early Estimates of Bivalent mRNA Vaccine Effectiveness in Preventing COVID-19–Associated Emergency Department or Urgent Care Encounters and Hospitalizations Among Immunocompetent Adults — VISION Network, Nine States, September–November 2022
(Center for Disease Control, 2022-12-30) Tenforde, Mark W.; Weber, Zachary A.; Natarajan, Karthik; Klein, Nicola P.; Kharbanda, Anupam B.; Stenehjem, Edward; Embi, Peter J.; Reese, Sarah E.; Naleway, Allison L.; Grannis, Shaun J.; DeSilva, Malini B.; Ong, Toan C.; Gaglani, Manjusha; Han, Jungmi; Dickerson, Monica; Fireman, Bruce; Dascomb, Kristin; Irving, Stephanie A.; Vazquez-Benitez, Gabriela; Rao, Suchitra; Konatham, Deepika; Patel, Palak; Schrader, Kristin E.; Lewis, Ned; Grisel, Nancy; McEvoy, Charlene; Murthy, Kempapura; Griggs, Eric P.; Rowley, Elizabeth A. K.; Zerbo, Ousseny; Arndorfer, Julie; Dunne, Margaret M.; Goddard, Kristin; Ray, Caitlin; Zhuang, Yan; Timbol, Julius; Najdowski, Morgan; Yang, Duck-Hye; Hansen, John; Ball, Sarah W.; Link-Gelles, Ruth; Biomedical Engineering and Informatics, Luddy School of Informatics, Computing, and Engineering
During June-October 2022, the SARS-CoV-2 Omicron BA.5 sublineage accounted for most of the sequenced viral genomes in the United States, with further Omicron sublineage diversification through November 2022.* Bivalent mRNA vaccines contain an ancestral SARS-CoV-2 strain component plus an updated component of the Omicron BA.4/BA.5 sublineages. On September 1, 2022, a single bivalent booster dose was recommended for adults who had completed a primary vaccination series (with or without subsequent booster doses), with the last dose administered ≥2 months earlier (1). During September 13-November 18, the VISION Network evaluated vaccine effectiveness (VE) of a bivalent mRNA booster dose (after 2, 3, or 4 monovalent doses) compared with 1) no previous vaccination and 2) previous receipt of 2, 3, or 4 monovalent-only mRNA vaccine doses, among immunocompetent adults aged ≥18 years with an emergency department/urgent care (ED/UC) encounter or hospitalization for a COVID-19-like illness.† VE of a bivalent booster dose (after 2, 3, or 4 monovalent doses) against COVID-19-associated ED/UC encounters was 56% compared with no vaccination, 31% compared with monovalent vaccination only with last dose 2-4 months earlier, and 50% compared with monovalent vaccination only with last dose ≥11 months earlier. VE of a bivalent booster dose (after 2, 3, or 4 monovalent doses) against COVID-19-associated hospitalizations was 57% compared with no vaccination, 38% compared with monovalent vaccination only with last dose 5-7 months earlier, and 45% compared with monovalent vaccination only with last dose ≥11 months earlier. Bivalent vaccines administered after 2, 3, or 4 monovalent doses were effective in preventing medically attended COVID-19 compared with no vaccination and provided additional protection compared with past monovalent vaccination only, with relative protection increasing with time since receipt of the last monovalent dose. All eligible persons should stay up to date with recommended COVID-19 vaccinations, including receiving a bivalent booster dose. Persons should also consider taking additional precautions to avoid respiratory illness this winter season, such as masking in public indoor spaces, especially in areas where COVID-19 community levels are high.
Effectiveness of 2, 3, and 4 COVID-19 mRNA Vaccine Doses Among Immunocompetent Adults During Periods when SARS-CoV-2 Omicron BA.1 and BA.2/BA.2.12.1 Sublineages Predominated — VISION Network, 10 States, December 2021–June 2022
(Center for Disease Control, 2022-07-22) Link-Gelles, Ruth; Levy, Matthew E.; Gaglani, Manjusha; Irving, Stephanie A.; Stockwell, Melissa; Dascomb, Kristin; DeSilva, Malini B.; Reese, Sarah E.; Liao, I-Chia; Ong, Toan C.; Grannis, Shaun J.; McEvoy, Charlene; Patel, Palak; Klein, Nicola P.; Hartmann, Emily; Stenehjem, Edward; Natarajan, Karthik; Naleway, Allison L.; Murthy, Kempapura; Rao, Suchitra; Dixon, Brian E.; Kharbanda, Anupam B.; Akinseye, Akintunde; Dickerson, Monica; Lewis, Ned; Grisel, Nancy; Han, Jungmi; Barron, Michelle A.; Fadel, William F.; Dunne, Margaret M.; Goddard, Kristin; Arndorfer, Julie; Konatham, Deepika; Valvi, Nimish R.; Currey, J. C.; Fireman, Bruce; Raiyani, Chandni; Zerbo, Ousseny; Sloan-Aagard, Chantel; Ball, Sarah W.; Thompson, Mark G.; Tenforde, Mark W.; Epidemiology, Richard M. Fairbanks School of Public Health
The Omicron variant (B.1.1.529) of SARS-CoV-2, the virus that causes COVID-19, was first identified in the United States in November 2021, with the BA.1 sublineage (including BA.1.1) causing the largest surge in COVID-19 cases to date. Omicron sublineages BA.2 and BA.2.12.1 emerged later and by late April 2022, accounted for most cases.* Estimates of COVID-19 vaccine effectiveness (VE) can be reduced by newly emerging variants or sublineages that evade vaccine-induced immunity (1), protection from previous SARS-CoV-2 infection in unvaccinated persons (2), or increasing time since vaccination (3). Real-world data comparing VE during the periods when the BA.1 and BA.2/BA.2.12.1 predominated (BA.1 period and BA.2/BA.2.12.1 period, respectively) are limited. The VISION network† examined 214,487 emergency department/urgent care (ED/UC) visits and 58,782 hospitalizations with a COVID-19-like illness§ diagnosis among 10 states during December 18, 2021-June 10, 2022, to evaluate VE of 2, 3, and 4 doses of mRNA COVID-19 vaccines (BNT162b2 [Pfizer-BioNTech] or mRNA-1273 [Moderna]) compared with no vaccination among adults without immunocompromising conditions. VE against COVID-19-associated hospitalization 7-119 days and ≥120 days after receipt of dose 3 was 92% (95% CI = 91%-93%) and 85% (95% CI = 81%-89%), respectively, during the BA.1 period, compared with 69% (95% CI = 58%-76%) and 52% (95% CI = 44%-59%), respectively, during the BA.2/BA.2.12.1 period. Patterns were similar for ED/UC encounters. Among adults aged ≥50 years, VE against COVID-19-associated hospitalization ≥120 days after receipt of dose 3 was 55% (95% CI = 46%-62%) and ≥7 days (median = 27 days) after a fourth dose was 80% (95% CI = 71%-85%) during BA.2/BA.2.12.1 predominance. Immunocompetent persons should receive recommended COVID-19 booster doses to prevent moderate to severe COVID-19, including a first booster dose for all eligible persons and second booster dose for adults aged ≥50 years at least 4 months after an initial booster dose. Booster doses should be obtained immediately when persons become eligible.
Effectiveness of COVID-19 mRNA Vaccines Against COVID-19–Associated Hospitalizations Among Immunocompromised Adults During SARS-CoV-2 Omicron Predominance — VISION Network, 10 States, December 2021—August 2022
(U.S. Department of Health & Human Services, 2022-10-21) Britton, Amadea; Embi, Peter J.; Levy, Matthew E.; Gaglani, Manjusha; DeSilva, Malini B.; Dixon, Brian E.; Dascomb, Kristin; Patel, Palak; Schrader, Kristin E.; Klein, Nicola P.; Ong, Toan C.; Natarajan, Karthik; Hartmann, Emily; Kharbanda, Anupam B.; Irving, Stephanie A.; Dickerson, Monica; Dunne, Margaret M.; Raiyani, Chandni; Grannis, Shaun J.; Stenehjem, Edward; Zerbo, Ousseny; Rao, Suchitra; Han, Jungmi; Sloan-Aagard, Chantel; Griggs, Eric P.; Weber, Zachary A.; Murthy, Kempapura; Fadel, William F.; Grisel, Nancy; McEvoy, Charlene; Lewis, Ned; Barron, Michelle A.; Nanez, Juan; Reese, Sarah E.; Mamawala, Mufaddal; Valvi, Nimish R.; Arndorfer, Julie; Goddard, Kristin; Yang, Duck-Hye; Fireman, Bruce; Ball, Sarah W.; Link-Gelles, Ruth; Naleway, Allison L.; Tenforde, Mark W.; Biomedical Engineering and Informatics, Luddy School of Informatics, Computing, and Engineering
Health Impairments in Children and Adolescents After Hospitalization for Acute COVID-19 or MIS-C
(American Academy of Pediatrics, 2022) Maddux, Aline B.; Berbert, Laura; Young, Cameron C.; Feldstein, Leora R.; Zambrano, Laura D.; Kucukak, Suden; Newhams, Margaret M.; Miller, Kristen; FitzGerald, Madyson M.; He, Jie; Halasa, Natasha B.; Cvijanovich, Natalie Z.; Loftis, Laura L.; Walker, Tracie C.; Schwartz, Stephanie P.; Gertz, Shira J.; Tarquinio, Keiko M.; Fitzgerald, Julie C.; Kong, Michele; Schuster, Jennifer E.; Mack, Elizabeth H.; Hobbs, Charlotte V.; Rowan, Courtney M.; Staat, Mary A.; Zinter, Matt S.; Irby, Katherine; Crandall, Hillary; Flori, Heidi; Cullimore, Melissa L.; Nofziger, Ryan A.; Shein, Steven L.; Glas Gaspers, Mary; Hume, Janet R.; Levy, Emily R.; Chen, Sabrina R.; Patel, Manish M.; Tenforde, Mark W.; Weller, Edie; Campbell, Angela P.; Randolph, Adrienne G.; Overcoming COVID-19 Investigators; Pediatrics, School of Medicine
Objectives: To evaluate risk factors for postdischarge sequelae in children and adolescents hospitalized for acute coronavirus disease 2019 (COVID-19) or multisystem inflammatory syndrome in children (MIS-C). Methods: Multicenter prospective cohort study conducted in 25 United States pediatric hospitals. Patients <21-years-old, hospitalized May 2020 to May 2021 for acute COVID-19 or MIS-C with follow-up 2 to 4 months after admission. We assessed readmissions, persistent symptoms or activity impairment, and new morbidities. Multivariable regression was used to calculate adjusted risk ratios (aRR) and 95% confidence intervals (CI). Results: Of 358 eligible patients, 2 to 4 month survey data were available for 119 of 155 (76.8%) with acute COVID-19 and 160 of 203 (78.8%) with MIS-C. Thirteen (11%) patients with acute COVID-19 and 12 (8%) with MIS-C had a readmission. Thirty-two (26.9%) patients with acute COVID-19 had persistent symptoms (22.7%) or activity impairment (14.3%) and 48 (30.0%) with MIS-C had persistent symptoms (20.0%) or activity impairment (21.3%). For patients with acute COVID-19, persistent symptoms (aRR, 1.29 [95% CI, 1.04-1.59]) and activity impairment (aRR, 1.37 [95% CI, 1.06-1.78]) were associated with more organ systems involved. Patients with MIS-C and pre-existing respiratory conditions more frequently had persistent symptoms (aRR, 3.09 [95% CI, 1.55-6.14]) and those with obesity more frequently had activity impairment (aRR, 2.52 [95% CI, 1.35-4.69]). New morbidities were infrequent (9% COVID-19, 1% MIS-C). Conclusions: Over 1 in 4 children hospitalized with acute COVID-19 or MIS-C experienced persistent symptoms or activity impairment for at least 2 months. Patients with MIS-C and respiratory conditions or obesity are at higher risk of prolonged recovery.
Impact of accounting for correlation between COVID-19 and influenza vaccination in a COVID-19 vaccine effectiveness evaluation using a test-negative design
(Elsevier, 2023) Payne, Amanda B.; Ciesla, Allison Avrich; Rowley, Elizabeth A. K.; Weber, Zachary A.; Reese, Sarah E.; Ong, Toan C.; Vazquez-Benitez, Gabriela; Naleway, Allison L.; Klein, Nicola P.; Embi, Peter J.; Grannis, Shaun J.; Kharbanda, Anupam B.; Gaglani, Manjusha; Tenforde, Mark W.; Link-Gelles, Ruth; VISION Network; Medicine, School of Medicine
Test-negative-design COVID-19 vaccine effectiveness (VE) studies use symptomatic SARS-CoV-2-positive individuals as cases and symptomatic SARS-CoV-2-negative individuals as controls to evaluate COVID-19 VE. To evaluate the potential bias introduced by the correlation of COVID-19 and influenza vaccination behaviors, we assessed changes in estimates of VE of bivalent vaccines against COVID-19-associated hospitalizations and emergency department/urgent care (ED/UC) encounters when considering influenza vaccination status or including or excluding influenza-positive controls using data from the multi-state VISION vaccine effectiveness network. Analyses included encounters during October 2022 - February 2023, a period of SARS-CoV-2 and influenza cocirculation. When considering influenza vaccination status or including or excluding influenza-positive controls, COVID-19 VE estimates were robust, with most VE estimates against COVID-19-associated hospitalization and ED/UC encounters changing less than 5 percentage points. Higher proportions of influenza-positive patients among controls, influenza vaccination coverage, or VE could impact these findings; the potential bias should continue to be assessed.
Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study
(JMIR, 2025-01-27) Rowley, Elizabeth A. K.; Mitchell, Patrick K.; Yang, Duck-Hye; Lewis, Ned; Dixon, Brian E.; Vazquez-Benitez, Gabriela; Fadel, William F.; Essien, Inih J.; Naleway, Allison L.; Stenehjem, Edward; Ong, Toan C.; Gaglani, Manjusha; Natarajan, Karthik; Embi, Peter; Wiegand, Ryan E.; Link-Gelles, Ruth; Tenforde, Mark W.; Fireman, Bruce; Health Policy and Management, Richard M. Fairbanks School of Public Health
Background: Real-world COVID-19 vaccine effectiveness (VE) studies are investigating exposures of increasing complexity accounting for time since vaccination. These studies require methods that adjust for the confounding that arises when morbidities and demographics are associated with vaccination and the risk of outcome events. Methods based on propensity scores (PS) are well-suited to this when the exposure is dichotomous, but present challenges when the exposure is multinomial. Objective: This simulation study aimed to investigate alternative methods to adjust for confounding in VE studies that have a test-negative design. Methods: Adjustment for a disease risk score (DRS) is compared with multivariable logistic regression. Both stratification on the DRS and direct covariate adjustment of the DRS are examined. Multivariable logistic regression with all the covariates and with a limited subset of key covariates is considered. The performance of VE estimators is evaluated across a multinomial vaccination exposure in simulated datasets. Results: Bias in VE estimates from multivariable models ranged from -5.3% to 6.1% across 4 levels of vaccination. Standard errors of VE estimates were unbiased, and 95% coverage probabilities were attained in most scenarios. The lowest coverage in the multivariable scenarios was 93.7% (95% CI 92.2%-95.2%) and occurred in the multivariable model with key covariates, while the highest coverage in the multivariable scenarios was 95.3% (95% CI 94.0%-96.6%) and occurred in the multivariable model with all covariates. Bias in VE estimates from DRS-adjusted models was low, ranging from -2.2% to 4.2%. However, the DRS-adjusted models underestimated the standard errors of VE estimates, with coverage sometimes below the 95% level. The lowest coverage in the DRS scenarios was 87.8% (95% CI 85.8%-89.8%) and occurred in the direct adjustment for the DRS model. The highest coverage in the DRS scenarios was 94.8% (95% CI 93.4%-96.2%) and occurred in the model that stratified on DRS. Although variation in the performance of VE estimates occurred across modeling strategies, variation in performance was also present across exposure groups. Conclusions: Overall, models using a DRS to adjust for confounding performed adequately but not as well as the multivariable models that adjusted for covariates individually.
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.

Browsing by Author "Tenforde, Mark W."

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