Gorman, Benjamin G.

ABSTRACT Objective To compare maternal and neonatal adverse outcomes between women who are English proficient (EP) and those who have limited English proficiency (LEP). Design Retrospective cohort study. Setting Single US academic medical centre with interpreter services. Population All pregnant women with deliveries during the study period. Methods We retrospectively identified EP and LEP individuals (categorised by self‐report) who delivered at Mayo Clinic, Rochester, Minnesota, USA, from 2015 to 2019. Overall composite adverse outcomes, as well as maternal and neonatal composite outcomes, were measured with generalised linear models and logistic regression, reporting estimates and 95% CIs. Multivariable logistic regression analysis was used to assess associations between language proficiency and outcome measures while controlling for other clinical factors. Main Outcome Measures Composite overall, maternal and neonatal adverse outcomes. Results Among 10 427 EP and 900 LEP participants, the LEP group had a higher incidence of gestational diabetes, unplanned intensive care unit admission, uterine rupture, postpartum haemorrhage with transfusion, neonatal death and 5‐min Apgar score less than 7. The composite overall, maternal and neonatal adverse outcomes were more prevalent in the LEP group than the EP group in unadjusted analysis. Of these, the composite adverse outcome remained significant when the model was adjusted (odds ratio, 1.40; 95% CI, 1.03–1.90). Conclusions Pregnant women with LEP had increased incidence of adverse delivery outcomes, even in a setting with universal availability of medical interpreters.

AbstractPregnancy is a conjectured risk factor for pyoderma gangrenosum (PG), an autoinflammatory neutrophilic dermatosis characterized by painful ulcers. Even so, there are no available treatment guidelines for those with PG who are pregnant or breastfeeding. To describe existing treatment options, we systematically reviewed the literature on PG treatment in pregnant or breastfeeding patients. A search over four databases was completed in October 2022. Independent reviewers accomplished screening and data extraction. 18 articles met the inclusion criteria. 15 cases involved the treatment of PG during pregnancy, and three cases involved the treatment of PG while breastfeeding. Most patients did not have a history of PG prior to pregnancy (77.7%), and most did not have PG‐associated comorbidity (61.1%). Of the cases involving treatment of PG during pregnancy, the majority (73%) found treatment success with a systemic corticosteroid (SCS). Only three cases reported an adverse outcome, including premature rupture of membranes and premature birth (16.7%); all these cases involved treatment with a SCS at >0.5 mg/kg/day during pregnancy. We present a treatment algorithm for pregnant or breastfeeding patients with PG. Our findings suggest prioritizing topicals and TNF inhibitors due to more favorable side effect profiles. However, there is a paucity of data on the safety of PG therapies in pregnancy and breastfeeding, and thus, controlled studies and pregnancy registries must be pursued.

AbstractFrozen sections are a useful pathologic tool, but variable image quality may impede the use of artificial intelligence and machine learning in their interpretation. We aimed to identify the current research on machine learning models trained or tested on frozen section images. We searched PubMed and Web of Science for articles presenting new machine learning models published in any year. Eighteen papers met all inclusion criteria. All papers presented at least one novel model trained or tested on frozen section images. Overall, convolutional neural networks tended to have the best performance. When physicians were able to view the output of the model, they tended to perform better than either the model or physicians alone at the tested task. Models trained on frozen sections performed well when tested on other slide preparations, but models trained on only formalin‐fixed tissue performed significantly worse across other modalities. This suggests not only that machine learning can be applied to frozen section image processing, but also use of frozen section images may increase model generalizability. Additionally, expert physicians working in concert with artificial intelligence may be the future of frozen section histopathology.

ImportanceThere was a shift in patient volume from in-person to video telemedicine visits during the COVID-19 pandemic.ObjectiveTo determine the concordance of provisional diagnoses established at a video telemedicine visit with diagnoses established at an in-person visit for patients presenting with a new clinical problem.Design, Setting, and ParticipantsThis is a diagnostic study of patients who underwent a video telemedicine consultation followed by an in-person outpatient visit for the same clinical problem in the same specialty within a 90-day window. The provisional diagnosis made during the video telemedicine visit was compared with the reference standard diagnosis by 2 blinded, independent medical reviewers. A multivariate logistic regression model was used to determine factors significantly related to diagnostic concordance. The study was conducted at a large academic integrated multispecialty health care institution (Mayo Clinic locations in Rochester, Minnesota; Scottsdale and Phoenix, Arizona; and Jacksonville, Florida; and Mayo Clinic Health System locations in Iowa, Wisconsin, and Minnesota) between March 24 and June 24, 2020. Participants included Mayo Clinic patients residing in the US without age restriction. Data analysis was performed from December 2020 to June 2021.ExposuresNew clinical problem assessed via video telemedicine visit to home using Zoom Care Anyplace integrated into Epic.Main Outcomes and MeasuresConcordance of provisional diagnoses established over video telemedicine visits compared against a reference standard diagnosis.ResultsThere were 2393 participants in the analysis. The median (IQR) age of patients was 53 (37-64) years; 1381 (57.7%) identified as female, and 1012 (42.3%) identified as male. Overall, the provisional diagnosis established over video telemedicine visit was concordant with the in-person reference standard diagnosis in 2080 of 2393 cases (86.9%; 95% CI, 85.6%-88.3%). Diagnostic concordance by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision chapter ranged from 64.7% (95% CI, 42.0%-87.4%) for diseases of the ear and mastoid process to 96.8% (95% CI, 94.7%-98.8%) for neoplasms. Diagnostic concordance by medical specialty ranged from 77.3% (95% CI, 64.9%-89.7%) for otorhinolaryngology to 96.0% (92.1%-99.8%) for psychiatry. Specialty care was found to be significantly more likely than primary care to result in video telemedicine diagnoses concordant with a subsequent in-person visit (odds ratio, 1.69; 95% CI, 1.24-2.30; P < .001).Conclusions and RelevanceThis diagnostic study of video telemedicine visits yielded a high degree of diagnostic concordance compared with in-person visits for most new clinical concerns. Some specific clinical circumstances over video telemedicine were associated with a lower diagnostic concordance, and these patients may benefit from timely in-person follow-up.

AbstractWith the recent unprecedented shift toward contactless healthcare solutions, providers should recall the value that proper palpation adds to dermatologic practice. We present a case that demonstrates the limitations of touchless care and how proper palpation during skin cancer examinations may impact cosmetic outcomes. Our patient is an 86‐year‐old male patient with Sezary syndrome and monoclonal B‐cell lymphocytosis whose squamous cell carcinoma invasion was missed by visual inspection alone. He delayed treatment of his biopsy‐proven squamous cell carcinoma for 15 months. On follow‐up, visual examination only showed a well‐healed biopsy scar, and treatment was delayed another 2 months. Finally, thorough physical examination found perineural invasion. This helped guide the Mohs approach, but due to the delays resulted in a larger final defect and poorer cosmetic outcomes. Proper, deep palpation of skin lesions, especially prior biopsy sites, is imperative to the treatment of skin cancer in cosmetically sensitive areas. Biopsy scars on the face often heal well, and visual only inspection may miss crucial details. This case also reminds dermatologists of the importance of patient education in the prompt treatment of skin cancer for the best cosmetic outcomes.