JAMA Network Open最新文献

Importance: Determining spectacle-corrected visual acuity (VA) is essential when managing many ophthalmic diseases. If artificial intelligence (AI) evaluations of macular images estimated this VA from a fundus image, AI might provide spectacle-corrected VA without technician costs, reduce visit time, or facilitate home monitoring of VA from fundus images obtained outside of the clinic.

Objective: To estimate spectacle-corrected VA measured on a standard eye chart among patients with diabetic macular edema (DME) in clinical practice settings using previously validated AI algorithms evaluating best-corrected VA from fundus photographs in eyes with DME.

Design, setting, and participants: Retrospective cross-sectional evaluation of deidentified fundus photographs matched to spectacle-corrected VA determined by technicians on eye charts among patients with a history of DME based on optical coherence tomography and at least 2 visits within 1 to 6 months of each other at a university-based clinic between January 2014 and December 2022. Data were analyzed from January 2023 to October 2024.

Exposure: Previously validated AI algorithm evaluation of fundus photographs.

Main outcomes and measures: AI-determined VA mean absolute error (MAE) compared with actual spectacle-corrected VA.

Results: Among 141 patients, the mean (SD) age was 63 (13) years, 71 (50%) were male, 2 (1%) were Asian, 42 (30%) were Black or African American, and 88 (63%) were White. Among 282 eyes at visit 1, 66 had nonproliferative diabetic retinopathy (NPDR) and DME, 38 had proliferative diabetic retinopathy (PDR) and DME, 101 had NPDR and no DME, and 77 had PDR and no DME. Among 564 images (282 eyes) at both initial and follow-up visits, MAE (SD) among eyes with NPDR, with or without center-involved DME (CI-DME), was 1.16 (1.00) lines on the eye chart for VA between 20/10 and 20/20 (67 images), and 1.44 (1.15) lines for between VA 20/25 and 20/80 (231 images). MAE (SD) among eyes with PDR, with or without CI-DME, was 1.92 (1.08) lines for VA between 20/10 and 20/20 (50 images), and 1.42 (0.97) lines for spectacle-corrected VA between 20/25 and 20/80 (150 images). Only 65 images had VA 20/100 or worse, precluding meaningful analyses.

Conclusions and relevance: In this cross-sectional study, AI evaluation of fundus photographs among patients with DME and VA 20/80 or better estimated spectacle-corrected VA within approximately 1 to 1.5 lines of actual spectacle-corrected VA. These results support use of AI evaluation of fundus photographs to determine spectacle-corrected VA among patients with DME globally, beyond ophthalmology offices.

Importance: Efforts to understand the complex association between social media use and mental health have focused on depression, with little investigation of other forms of negative affect, such as irritability and anxiety.

Objective: To characterize the association between self-reported use of individual social media platforms and irritability among US adults.

Design, setting, and participants: This survey study analyzed data from 2 waves of the COVID States Project, a nonprobability web-based survey conducted between November 2, 2023, and January 8, 2024, and applied multiple linear regression models to estimate associations with irritability. Survey respondents were aged 18 years and older.

Exposure: Self-reported social media use.

Main outcomes and measures: The primary outcome was score on the Brief Irritability Test (range, 5-30), with higher scores indicating greater irritability.

Results: Across the 2 survey waves, there were 42 597 unique participants, with mean (SD) age 46.0 (17.0) years; 24 919 (58.5%) identified as women, 17 222 (40.4%) as men, and 456 (1.1%) as nonbinary. In the full sample, 1216 (2.9%) identified as Asian American, 5939 (13.9%) as Black, 5322 (12.5%) as Hispanic, 624 (1.5%) as Native American, 515 (1.2%) as Pacific Islander, 28 354 (66.6%) as White, and 627 (1.5%) as other (ie, selecting the other option prompted the opportunity to provide a free-text self-description). In total, 33 325 (78.2%) of the survey respondents reported daily use of at least 1 social media platform, including 6037 (14.2%) using once a day, 16 678 (39.2%) using multiple times a day, and 10 610 (24.9%) using most of the day. Frequent use of social media was associated with significantly greater irritability in univariate regression models (for more than once a day vs never, 1.43 points [95% CI, 1.22-1.63 points]; for most of the day vs never, 3.37 points [95% CI, 3.15-3.60 points]) and adjusted models (for more than once a day, 0.38 points [95% CI, 0.18-0.58 points]; for most of the day, 1.55 points [95% CI, 1.32-1.78 points]). These associations persisted after incorporating measures of political engagement.

Conclusions and relevance: In this survey study of 42 597 US adults, irritability represented another correlate of social media use that merits further characterization, in light of known associations with depression and suicidality.

Importance: Academic detailing (interactive educational outreach) is a widely used strategy to encourage evidence-based prescribing by clinicians.

Objective: To evaluate academic detailing programs targeted at improving prescribing behavior and describe program aspects associated with positive outcomes.

Evidence review: A systematic search of MEDLINE from April 1, 2007, through December 31, 2022, was performed for randomized trials and nonrandomized studies of academic detailing interventions to improve prescribing. Academic detailing was defined as evidence-based medication education outreach delivered interactively to individuals or small groups of prescribers. Only studies that measured prescribing outcomes were included. Two investigators independently assessed studies for risk of bias using validated assessment tools. Among all studies rated as having low risk of bias and randomized trials rated as having moderate risk of bias, the absolute change in the proportion of patients using the targeted medications and the proportion of studies that led to significant changes in 1 or more prescribing outcome were determined. The data analysis was performed between January 25, 2022, and November 4, 2024.

Findings: The 118 studies identified varied by setting (eg, inpatient, outpatient) and academic detailing delivery (eg, individual vs groups of prescribers). The most common therapeutic targets were antibiotic overuse (32 studies [27%]), opioid prescribing (24 studies [20%]), and management of mental health conditions (16 studies [14%]) and cardiovascular disease (13 studies [11%]). Most studies (66 [56%]) combined academic detailing with other interventions (eg, audit and feedback, electronic health record reminders). Among 36 studies deemed to have the lowest risk of bias, 18 interventions (50%; 95% CI, 33%-67%) led to significant improvements in all prescribing outcomes, and 7 (19%; 95% CI, 8%-36%) led to significant improvements in 1 or more prescribing outcomes. The median absolute change in the proportion of patients using the targeted medication or medications was 4.0% (IQR, 0.3%-11.3%) in the intended direction.

Conclusions and relevance: In this systematic review of academic detailing interventions addressing evidence-based prescribing, most interventions led to substantial changes in prescribing behavior, although the quality of evidence varied. These findings support the use of academic detailing to bring about more evidence-based prescribing in a variety of clinical settings.

Importance: It remains unknown whether outcomes of the Placement of Aortic Transcatheter Valves 3 (PARTNER 3) and Evolut Low Risk trials are comparable with surgical outcomes in nontrial settings, considering the added risk of concomitant cardiac operations.

Objective: To compare 30-day mortality and stroke incidences of patients in the surgical aortic valve replacement (SAVR) arm of low-risk trials with those of similar patients in the US Society of Thoracic Surgeons Adult Cardiac Surgery Database (STS ACSD).

Design, setting, and participants: A cross-sectional sampling study was conducted of adults in the STS ACSD with severe aortic stenosis at low surgical risk for AVR who underwent SAVR during the years low-risk AVR trials (PARTNER 3 and Evolut Low Risk) were enrolling (calendar years 2016-2018). After trial exclusion criteria were applied, 1000 samples were created, each including 1000 patients selected from the STS ACSD according to the likelihood-based selection probabilities to achieve similar STS predicted risk of mortality (PROM) distribution to the trial participants. The distribution of 30-day mortality and stroke rates among these samples were compared with the results from the trials. The analysis was conducted between October 2, 2023, and May 27, 2024.

Main outcomes and measures: The main outcomes were 30-day postoperative mortality and stroke.

Results: Among 25 811 patients at low risk undergoing SAVR, the mean (SD) age was 71 (7) years, including 650 220 men (65%). The probability-based sampling yielded a trial-like sample with STS PROM (mean [SD], 1.9% [0.6%]) and concomitant coronary artery bypass graft surgery frequencies of 13%, comparable with the trials. Among the sampled cohorts, the mean (SD) 30-day mortality rate was 1.39% (0.38%) which was not significantly different from the mortality rate in PARTNER 3 (1.1%) (P = .83) and Evolut Low Risk (1.3%) (P = .65). The stroke rate was 1.25% (0.36%), significantly lower than PARTNER 3 (2.4%) (P = .002) and Evolut Low Risk (3.4%) (P < .001).

Conclusions and relevance: In this cross-sectional study, the national samples of low-risk trial-like patients undergoing SAVR during the trial enrollment period had similar 30-day mortality but a lower incidence of stroke compared with the SAVR arm of both low-risk trials. These findings overall suggest that the low-risk trial findings may be generalizable to the broader national SAVR cohort.

Importance: Health systems are increasingly required to conduct health-related social needs screening. However, how social resources negatively and positively affect recovery from acute illnesses, such as COVID-19, is incompletely understood.

Objective: To examine how social determinants of health (SDOH) influence recovery from COVID-19.

Design, setting, and participants: In this qualitative study, patients were recruited for semistructured interviews from a post-COVID-19 pulmonary clinic at a southeastern US academic medical center between November 2022 and March 2023. Caregivers were included in dyadic interviews when available. Interviews queried participants about SDOH domains, as defined by the US Centers for Disease Control and Prevention, and their relationship with COVID-19 recovery.

Main outcome and measures: Phenomenologic analysis identified themes characterizing participant perspectives on the influence of SDOH on COVID-19 recovery.

Results: A total of 24 interviews were conducted: 10 (42%) with patient-caregiver dyads, 13 (54%) with patients alone, and 1 (4%) with 2 patients who also served as each other's caregiver. Most participants were female (18 patients [72%] and 6 caregivers [60%]). The median age of patients was 57 years (IQR, 44-61 years) and of caregivers was 47 years (IQR, 39-62 years). Three cross-cutting themes that overlapped SDOH domains were identified. Participants noted that innovative mobilization of social resources (eg, policies to secure income during time away from work) supported recovery from COVID-19 illness, but destabilization and change introduced by illness (eg, disrupted social support networks) and mistrust of previously established institutions (eg, public health misinformation) hindered recovery.

Conclusions and relevance: Participants identified 3 distinct SDOH domains positively and negatively influencing recovery from COVID-19 illness. The findings suggest that longitudinal, multidomain data on SDOH are needed to best address barriers and identify resources for patients recovering from acute illness and may help determine opportunities for system- and policy-level interventions that can mitigate the influence of long-standing structural inequities on health.