Long COVID is a chronic condition characterized by symptoms such as fatigue, dyspnea, and cognitive impairment that persist or relapse months after an acute infection with the SARS-CoV-2 virus. Many distinct symptoms have been attributed to Long COVID; however, little is known about the potential clustering of these symptoms and risk factors that may predispose patients to certain clusters. In this study, an electronic survey was sent to patients in the UC San Diego Health (UCSDH) system who tested positive for COVID-19, querying if patients were experiencing symptoms consistent with Long COVID. Based on survey results, along with patient demographics reported in the electronic health record (EHR), linear and logistic regression models were used to examine putative risk factors, and exploratory factor analysis was performed to determine symptom clusters. Among 999 survey respondents, increased odds of Long COVID (n = 421; 42%) and greater Long COVID symptom burden were associated with female sex (OR = 1.73, 99% CI: 1.16–2.58; β = 0.48, 0.22–0.75), COVID-19 hospitalization (OR = 4.51, 2.50–8.43; β = 0.48, 0.17–0.78), and poorer pre-COVID self-rated health (OR = 0.75, 0.57–0.97; β = −0.19, −0.32–−0.07). Over one-fifth of Long COVID patients screened positive for depression and/or anxiety, the latter of which was associated with younger age (OR = 0.96, 0.94–0.99). Factor analysis of 16 self-reported symptoms suggested five symptom clusters—gastrointestinal (GI), musculoskeletal (MSK), neurocognitive (NC), airway (AW), and cardiopulmonary (CP), with older age (β = 0.21, 0.11–0.30) and mixed race (β = 0.27, 0.04–0.51) being associated with greater MSK symptom burden. Greater NC symptom burden was associated with increased odds of depression (OR = 5.86, 2.71–13.8) and anxiety (OR = 2.83, 1.36–6.14). These results can inform clinicians in identifying patients at increased risk for Long COVID-related medical issues, particularly neurocognitive symptoms and symptom clusters, as well as informing health systems to manage operational expectations on a population-health level.

Background and objectives Turnover time (TOT), defined as the time between surgical cases in the same operating room (OR), is often perceived to be lengthy without clear cause. With the aim of optimising and standardising OR turnover processes and decreasing TOT, we developed an innovative and staff-interactive TOT measurement method. Methods We divided TOT into task-based segments and created buttons on the electronic health record (EHR) default prelogin screen for appropriate staff workflows to collect more granular data. We created submeasures, including ‘clean-up start’, ‘clean-up complete’, ‘set-up start’ and ‘room ready for patient’, to calculate environmental services (EVS) response time, EVS cleaning time, room set-up response time, room set-up time and time to room accordingly. Results Since developing and implementing these workflows, measures have demonstrated excellent staff adoption. Median times of EVS response and cleaning have decreased significantly at our main hospital ORs and ambulatory surgery centre. Conclusion OR delays are costly to hospital systems. TOT, in particular, has been recognised as a potential dissatisfier and cause of delay in the perioperative environment. Viewing TOT as one finite entity and not a series of necessary tasks by a variety of team members limits the possibility of critical assessment and improvement. By dividing the measurement of TOT into respective segments necessary to transition the room at the completion of one case to the onset of another, valuable insight was gained into the causes associated with turnover delays, which increased awareness and improved accountability of staff members to complete assigned tasks efficiently.

Objectives Elite overhead athletes, such as volleyball players, are predisposed to shoulder injuries due to repetitive overhead movement and overloading of the shoulder joint and surrounding muscles and ligaments. Returning to play at an elite level following shoulder surgery is often not possible. We hypothesised that MRI of elite volleyball players’ dominant shoulders would demonstrate extensive asymptomatic shoulder pathology that does not prevent the athlete from competing. To test this hypothesis, the objective of this observational study was to evaluate the history, physical examination and MRI findings to determine the incidence of asymptomatic shoulder pathology. We believe this knowledge will improve outcomes in the management of shoulder pain in overhead athletes and prevent unnecessary surgical procedures. Methods 26 asymptomatic elite volleyball players of the US Men’s and Women’s National Indoor Volleyball Teams underwent MRI (0.27 Tesla) of their dominant shoulders and physical examinations of both shoulders. Asymptomatic was defined as being able to play volleyball without restrictions. The imaging was reviewed by two fellowship-trained musculoskeletal radiologists. Visual Analogue Pain scores, range of motion, strength, University of California, Los Angeles and American Shoulder and Elbow Society outcome scores were measured and recorded. Results The mean age at the time of MRI was 25.53 years old (range: 21 to 30 years). There were 14 male and 12 female players. 23 athletes had rotator cuff tendinosis (88.5%) and 17 athletes had partial rotator cuff tears (65.4%). 13 of these tears involved the supraspinatus with five moderate-to-high-grade and eight moderate-to-low-grade. Two tears involved the infraspinatus, and there were two subscapularis tears. Six athletes had a labral tear (23.1%) and six additional athletes had labral fraying (23.1%). All MRIs showed abnormal pathology. Conclusion These findings support the notion that elite-level volleyball players display asymptomatic shoulder joint pathology in their dominant arm, particularly of the rotator cuff and labrum, which do not limit their ability to participate. Level of evidence V

Background: Controversy continues in the treatment of breast cancer in women over 70 years of age. In 2016, the Society of Surgical Oncology recommended against routine use of sentinel lymph node biopsy (SLNBx) as part of the ‘Choosing Wisely Campaign’. This study examines the oncologic safety of avoidance of routine SLNBx in patients over 70 years of age with invasive lobular carcinoma (ILC). Methods: The National Cancer Database was used to identify women with invasive ductal carcinoma (IDC) and ILC diagnosed between 2012 and 2020. Clinical and pathological staging, axillary staging, surgery type, and lymph node positivity between patients with IDC or ILC were compared. Results: Among women with T1 tumors, 85,949 (79.6%) patients with IDC and 12,761 (81.5%) patients with ILC underwent SLNBx (p < 0.001). Among patients who underwent SLNBx, those with IDC were more likely to have positive nodes (n = 7535, 8.8%) than those with ILC (n = 1041, 8.2%; p = 0.02). During the time interval of interest, for both IDC and ILC patients, the rate of axillary lymph node dissection decreased and rates of SLNBx or no axillary staging increased. On multivariate analysis, ILC histology was associated with use of SLNBx, but without nodal positivity. Conclusion: A trend de-escalation of axillary staging was identified in this study, however the majority of patients meeting the ‘Choosing Wisely’ criteria are still undergoing SLNBx. No increased risk of nodal positivity was identified among patients with ILC, suggesting that surgeons can continue to choose wisely and limit the use of SLNBx in women over 70 years of age with T1 ILC tumors.

Objective: Integrating clinical research into routine clinical care workflows within electronic health record systems (EHRs) can be challenging, expensive, and labor-intensive. This case study presents a large-scale clinical research project conducted entirely within a commercial EHR during the COVID-19 pandemic. Case Report: The UCSD and UCSDH COVID-19 NeutraliZing Antibody Project (ZAP) aimed to evaluate antibody levels to SARS-CoV-2 virus in a large population at an academic medical center and examine the association between antibody levels and subsequent infection diagnosis. Results: The project rapidly and successfully enrolled and consented over 2000 participants, integrating the research trial with standing COVID-19 testing operations, staff, lab, and mobile applications. EHR-integration increased enrollment, ease of scheduling, survey distribution, and return of research results at a low cost by utilizing existing resources. Conclusion: The case study highlights the potential benefits of EHR-integrated clinical research, expanding their reach across multiple health systems and facilitating rapid learning during a global health crisis.

Objectives: Effective communication amongst healthcare workers simultaneously promotes optimal patient outcomes when present and is deleterious to outcomes when absent. The advent of electronic health record (EHR)-embedded secure instantaneous messaging systems has provided a new conduit for provider communication. This manuscript describes the experience of one academic medical center with deployment of one such system (Secure Chat). Methods: Data were collected on Secure Chat message volume from June 2017 to April 2023. Significant perideployment events were reviewed chronologically. Results: After the first coronavirus disease 2019 lockdown in March 2020, messaging use increased by over 25 000 messages per month, with 1.2 million messages sent monthly by April 2023. Comparative features of current communication modalities in healthcare were summarized, highlighting the many advantages of Secure Chat. Conclusions: While EHR-embedded secure instantaneous messaging systems represent a novel and potentially valuable communication medium in healthcare, generally agreed-upon best practices for their implementation are, as of yet, undetermined.