Last data update: Jul 01, 2024. (Total: 47134 publications since 2009)
Records 1-4 (of 4 Records) |
Query Trace: Moser KA [original query] |
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Differentiation of hypervirulent and classical Klebsiella pneumoniae with acquired drug resistance
Russo TA , Alvarado CL , Davies CJ , Drayer ZJ , Carlino-MacDonald U , Hutson A , Luo TL , Martin MJ , Corey BW , Moser KA , Rasheed JK , Halpin AL , McGann PT , Lebreton F . mBio 2024 e0286723 Hypervirulent Klebsiella pneumoniae (hvKp) is a concerning pathogen that can cause life-threatening infections in otherwise healthy individuals. Importantly, although strains of hvKp have been acquiring antimicrobial resistance, the effect on virulence is unclear. Therefore, it is of critical importance to determine whether a given antimicrobial resistant K. pneumoniae isolate is hypervirulent. This report determined which combination of genotypic and phenotypic markers could most accurately identify hvKp strains with acquired resistance. Both logistic regression and a machine-learning prediction model demonstrated that biomarker count alone was the strongest predictor. The presence of all five of the biomarkers iucA, iroB, peg-344, rmpA, and rmpA2 was most accurate (94%); the presence of ≥4 of these biomarkers was most sensitive (100%). Accurately identifying hvKp is vital for surveillance and research, and the availability of biomarker data could alert the clinician that hvKp is a consideration, which, in turn, would assist in optimizing patient care. |
Effectiveness of 2 and 3 mRNA COVID-19 Vaccines Doses against Omicron and Delta-Related Outpatient Illness among Adults, October 2021 - February 2022 (preprint)
Kim SS , Chung JR , Talbot HK , Grijalva CG , Wernli KJ , Martin ET , Monto AS , Belongia EA , McLean HQ , Gaglani M , Mamawala M , Nowalk MP , Geffel KM , Tartof SY , Florea A , Lee JS , Tenforde MW , Patel MM , Flannery B , Bentz ML , Burgin A , Burroughs M , Davis ML , Howard D , Lacek K , Madden JC , Nobles S , Padilla J , Sheth M , Arroliga A , Beeram M , Dunnigan K , Ettlinger J , Graves A , Hoffman E , Jatla M , McKillop A , Murthy K , Mutnal M , Priest E , Raiyani C , Rao A , Requenez L , Settele N , Smith M , Stone K , Thomas J , Volz M , Walker K , Zayed M , Annan E , Daley P , Kniss K , Merced-Morales A , Ayala E , Amundsen B , Aragones M , Calderon R , Hong V , Jimenez G , Kim J , Ku J , Lewin B , McDaniel A , Reyes A , Shaw S , Takhar H , Torres A , Burganowski R , Kiniry E , Moser KA , Nguyen M , Park S , Wellwood S , Wickersham B , Alvarado-Batres J , Benz S , Berger H , Bissonnette A , Blake J , Boese K , Botten E , Boyer J , Braun M , Breu B , Burbey G , Cravillion C , Delgadillo C , Donnerbauer A , Dziedzic T , Eddy J , Edgren H , Ermeling A , Ewert K , Fehrenbach C , Fernandez R , Frome W , Guzinski S , Heeren L , Herda D , Hertel M , Heuer G , Higdon E , Ivacic L , Jepsen L , Kaiser S , Karl J , Keffer B , King J , Koepel TK , Kohl S , Kohn S , Kohnhorst D , Kronholm E , Le T , Lemieux A , Marcis C , Maronde M , McCready I , McGreevey K , Meece J , Mehta N , Miesbauer D , Moon V , Moran J , Nikolai C , Olson B , Olstadt J , Ott L , Pan N , Pike C , Polacek D , Presson M , Price N , Rayburn C , Reardon C , Rotar M , Rottscheit C , Salzwedel J , Saucedo J , Scheffen K , Schug C , Seyfert K , Shrestha R , Slenczka A , Stefanski E , Strupp M , Tichenor M , Watkins L , Zachow A , Zimmerman B , Bauer S , Beney K , Cheng CK , Faraj N , Getz A , Grissom M , Groesbeck M , Harrison S , Henson K , Jermanus K , Johnson E , Kaniclides A , Kimberly A , Lamerato LE , Lauring A , Lehmann-Wandell R , McSpadden EJ , Nabors L , Truscon R , Balasubramani GK , Bear T , Bobeck J , Bowser E , Clarke K , Clarke LG , Dauer K , Deluca C , Dierks B , Haynes L , Hickey R , Johnson M , Jonsson A , Luosang N , McKown L , Peterson A , Phaturos D , Rectenwald A , Sax TM , Stiegler M , Susick M , Suyama J , Taylor L , Walters S , Weissman A , Williams JV , Blair M , Carter J , Chappell J , Copen E , Denney M , Graes K , Halasa N , Lindsell C , Liu Z , Longmire S , McHenry R , Short L , Tan HN , Vargas D , Wrenn J , Wyatt D , Zhu Y . medRxiv 2022 10 Background: We estimated SARS-CoV-2 Delta and Omicron-specific effectiveness of 2 and 3 mRNA COVID-19 vaccine doses in adults against symptomatic illness in US outpatient settings. Method(s): Between October 1, 2021, and February 12, 2022, research staff consented and enrolled eligible participants who had fever, cough, or loss of taste or smell and sought outpatient medical care or clinical SARS-CoV-2 testing within 10 days of illness onset. Using the test-negative design, we compared the odds of receiving 2 or 3 mRNA COVID-19 vaccine doses among SARS-CoV-2 cases versus controls using logistic regression. Regression models were adjusted for study site, age, onset week, and prior SARS-CoV-2 infection. Vaccine effectiveness (VE) was calculated as (1 - adjusted odds ratio) x 100%. Result(s): Among 3847 participants included for analysis, 574 (32%) of 1775 tested positive for SARS-CoV-2 during the Delta predominant period and 1006 (56%) of 1794 participants tested positive during the Omicron predominant period. When Delta predominated, VE against symptomatic illness in outpatient settings was 63% (95% CI: 51% to 72%) among mRNA 2-dose recipients and 96% (95% CI: 93% to 98%) for 3-dose recipients. When Omicron predominated, VE was 21% (95% CI: -6% to 41%) among 2-dose recipients and 62% (95% CI: 48% to 72%) among 3-dose recipients. Conclusion(s): In this adult population, 3 mRNA COVID-19 vaccine doses provided substantial protection against symptomatic illness in outpatient settings when the Omicron variant became the predominant cause of COVID-19 in the U.S. These findings support the recommendation for a 3rd mRNA COVID-19 vaccine dose. Copyright The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license. |
Erratum: Vol. 71, No. 6.
Lambrou AS , Shirk P , Steele MK , Paul P , Paden CR , Cadwell B , Reese HE , Aoki Y , Hassell N , Caravas J , Kovacs NA , Gerhart JG , Ng HJ , Zheng XY , Beck A , Chau R , Cintron R , Cook PW , Gulvik CA , Howard D , Jang Y , Knipe K , Lacek KA , Moser KA , Paskey AC , Rambo-Martin BL , Nagilla RR , Rethchless AC , Schmerer MW , Seby S , Shephard SS , Stanton RA , Stark TJ , Uehara A , Unoarumhi Y , Bentz ML , Burhgin A , Burroughs M , Davis ML , Keller MW , Keong LM , Le SS , Lee JS , Madden Jr JC , Nobles S , Owouor DC , Padilla J , Sheth M , Wilson MM , Talarico S , Chen JC , Oberste MS , Batra D , McMullan LK , Halpin AL , Galloway SE , MacCannell DR , Kondor R , Barnes J , MacNeil A , Silk BJ , Dugan VG , Scobie HM , Wentworth DE . MMWR Morb Mortal Wkly Rep 2022 71 (14) 528 The report “Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants — United States, June 2021–January 2022” contained several errors. |
Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants - United States, June 2021-January 2022.
Lambrou AS , Shirk P , Steele MK , Paul P , Paden CR , Cadwell B , Reese HE , Aoki Y , Hassell N , Caravas J , Kovacs NA , Gerhart JG , Ng HJ , Zheng XY , Beck A , Chau R , Cintron R , Cook PW , Gulvik CA , Howard D , Jang Y , Knipe K , Lacek KA , Moser KA , Paskey AC , Rambo-Martin BL , Nagilla RR , Rethchless AC , Schmerer MW , Seby S , Shephard SS , Stanton RA , Stark TJ , Uehara A , Unoarumhi Y , Bentz ML , Burhgin A , Burroughs M , Davis ML , Keller MW , Keong LM , Le SS , Lee JS , Madden Jr JC , Nobles S , Owouor DC , Padilla J , Sheth M , Wilson MM , Talarico S , Chen JC , Oberste MS , Batra D , McMullan LK , Halpin AL , Galloway SE , MacCannell DR , Kondor R , Barnes J , MacNeil A , Silk BJ , Dugan VG , Scobie HM , Wentworth DE . MMWR Morb Mortal Wkly Rep 2022 71 (6) 206-211 Genomic surveillance is a critical tool for tracking emerging variants of SARS-CoV-2 (the virus that causes COVID-19), which can exhibit characteristics that potentially affect public health and clinical interventions, including increased transmissibility, illness severity, and capacity for immune escape. During June 2021-January 2022, CDC expanded genomic surveillance data sources to incorporate sequence data from public repositories to produce weighted estimates of variant proportions at the jurisdiction level and refined analytic methods to enhance the timeliness and accuracy of national and regional variant proportion estimates. These changes also allowed for more comprehensive variant proportion estimation at the jurisdictional level (i.e., U.S. state, district, territory, and freely associated state). The data in this report are a summary of findings of recent proportions of circulating variants that are updated weekly on CDC's COVID Data Tracker website to enable timely public health action.(†) The SARS-CoV-2 Delta (B.1.617.2 and AY sublineages) variant rose from 1% to >50% of viral lineages circulating nationally during 8 weeks, from May 1-June 26, 2021. Delta-associated infections remained predominant until being rapidly overtaken by infections associated with the Omicron (B.1.1.529 and BA sublineages) variant in December 2021, when Omicron increased from 1% to >50% of circulating viral lineages during a 2-week period. As of the week ending January 22, 2022, Omicron was estimated to account for 99.2% (95% CI = 99.0%-99.5%) of SARS-CoV-2 infections nationwide, and Delta for 0.7% (95% CI = 0.5%-1.0%). The dynamic landscape of SARS-CoV-2 variants in 2021, including Delta- and Omicron-driven resurgences of SARS-CoV-2 transmission across the United States, underscores the importance of robust genomic surveillance efforts to inform public health planning and practice. |
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