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BACKGROUND: Surgical stabilization of rib fractures (SSRF) is being done with increased frequency and new advances. Intrathoracic SSRF is a new less invasive approach compared to the traditional extrathoracic plating procedure. Educational assessment can be done through descriptive analysis of learning curves with operation time used as a proxy measurement for learning. The objective of this level 3 observational cohort study is to assess the learning curve of introducing the intrathoracic method of plating at a large academic medical institution. METHODS: Intrathoracic surgical stabilization of rib fractures was introduced at a tertiary trauma center in March of 2019. All patients that received SSRF beginning 11/2017 were included. Patients with abbreviated injury scale score of the head, abdomen, extremity, or face greater than three and days from injury to SSRF greater than 4 were excluded. Operation time was determined from time of incision to completion of skin closure. Time per fracture and time per plate were calculated using total operation time. Learning curves and CUSUM graphs for individual surgeons that had completed in more than 3 SSRF cases were generated using and trended for statistical significance. RESULTS: After exclusions, there were 38 patients with extrathoracic SSRF between November 2017-September 2021 and 24 patients with intrathoracic plating between March 2019-Sept. 2021. There were 5 fellows and 6 residents that performed extrathoracic SSRF. Four fellows and 2 residents performed intrathoracic SSRF. Graphs of time per fracture and time per plate over time produced learning curves without an inflection point for extrathoracic or intrathoracic SSRF in any of the following categories: all surgeries (Figs. 1 and 2), academic year (July to June), individual attending surgeons, fellows, or residents. CONCLUSION: There was no discernible inflection point on the generated learning curves. Time per plate and time per fracture did not decrease as surgeons gained more experience. Introducing intrathoracic SSRF in a large academic hospital may not need to account for a learning curve adjustment period.

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We analyzed data from two ongoing COVID-19 longitudinal serological surveys in Orange County, CA., between April 2020 and March 2021. A total of 8,476 finger stick blood specimens were collected before and after an aggressive mRNA vaccination campaign. IgG levels were determined using a multiplex antigen microarray containing 10 SARS-CoV-2 antigens, 4 SARS, 3 MERS, 12 Common CoV, and 8 Influenza antigens. Twenty-six percent of 3,347 specimens from unvaccinated Orange County residents in December 2020 were SARS-CoV-2 seropositive. The Ab response was predominantly against nucleocapsid (NP), full length spike and the spike S2 domain. Anti-receptor binding domain (RBD) reactivity was low and there was no cross-reactivity against SARS S1 or SARS RBD. An aggressive mRNA vaccination campaign at the UCI Medical Center started on December 16, 2020 and 6,724 healthcare workers were vaccinated within 3 weeks. Seroprevalence increased from 13% in December to 79% in January, 93% in February and 99% in March. mRNA vaccination induced much higher Ab levels especially against the RBD domain and significant cross-reactivity against SARS RBD and S1 was also observed. Nucleocapsid protein Abs can be used to distinguish individuals in a population of vaccinees to classify those who have been previously infected and those who have not, because nucleocapsid is not in the vaccine. Previously infected individuals developed higher Ab titers to the vaccine than those who have not been previously exposed. These results indicate that mRNA vaccination rapidly induces a much stronger and broader Ab response than SARS-CoV-2 infection.

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BackgroundProtecting health care workers (HCWs) during the coronavirus disease 2019 (COVID-19) pandemic is essential. Serologic testing can identify HCWs who had minimally symptomatic severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections that were missed by occupational screening based on daily symptom and temperature checks. Recent studies report conflicting results regarding the impact of occupational factors on SARS-CoV-2 seropositivity amongst HCWs. MethodsThe study population included all hospital workers at an academic medical center in Orange County, California. SARS-CoV-2 seropositivity was assessed from a fingerstick blood specimen using a coronavirus antigen microarray, which compares IgM and IgG antibodies against a panel of SARS-CoV-2 antigens with positive and negative controls to identify prior SARS-CoV-2 infection with 98% specificity and 93% sensitivity. Demographic, occupational, and clinical factors were surveyed and their effect on seropositivity estimated using multivariable logistic regression analysis. ResultsAmongst 1,557 HCWs with complete data, SARS-CoV-2 seropositivity was 10.8%. Risk factors for increased seropositivity included male gender, exposure to COVID-19 outside of work, working in food or environmental services, and working in COVID-19 units. Amongst the 1,103 HCW who were seropositive but missed by occupational screening, additional risk factors included younger age and working in administration. ConclusionsSARS-CoV-2 seropositivity is significantly higher than reported case counts even amongst HCWs who are meticulously screened. Seropositive HCWs missed by occupational screening were more likely to be younger, work roles without direct patient care, or have COVID-19 exposure outside of work. Key PointsSARS-CoV-2 seropositivity risk factors amongst health care workers included male gender, nonoccupational exposure, food or environmental services role, and COVID-19 unit location. Those missed by occupational screening were younger, in roles without direct patient care, or exposed outside of work.