Effect of a Multiorgan Focused Clinical Ultrasonography on Length of Stay in Patients Admitted With a Cardiopulmonary Diagnosis: A Randomized Clinical Trial

Effect of a Point-of-Care Ultrasound-Driven vs Standard Diagnostic Pathway on 24-Hour Hospital Stay in Emergency Department Patients with Dyspnea-Protocol for A Randomized Controlled Trial

Purpose

Point-of-care ultrasound (POCUS) helps emergency department (ED) physicians make prompt and appropriate decisions, but the optimal diagnostic integration and potential clinical benefits remain unclear. We describe the protocol and statistical analysis plan for a randomized controlled trial. The objective is to determine the effect of a POCUS-driven diagnostic pathway in adult dyspneic ED patients on the proportion of patients having a hospital stay of less than 24 hours when compared to the standard diagnostic pathway.

Patients and Methods

This is a multicenter, randomized, investigator-initiated, open-labeled, pragmatic, controlled trial. Adult ED patients with chief complaint dyspnea are eligible. Patients are randomized (1:1) to the POCUS-driven diagnostic pathway or standard diagnostic pathway, with 337 patients in each group. The primary outcome is the proportion of patients having a hospital stay (from ED arrival to hospital discharge) of less than 24 hours. Key secondary outcomes include hospital length-of-stay, 72-hour revisits, and 30-day hospital-free days.

Conclusion

Sparse evidence exists for any clinical benefit from a POCUS-integrated diagnostic pathway. The results from this trial will help clarify the promising signals for POCUS to influence patient care among ED patients with dyspnea.

Automatic deep learning-based pleural effusion segmentation in lung ultrasound images

BACKGROUND

Point-of-care lung ultrasound (LUS) allows real-time patient scanning to help diagnose pleural effusion (PE) and plan further investigation and treatment. LUS typically requires training and experience from the clinician to accurately interpret the images. To address this limitation, we previously demonstrated a deep-learning model capable of detecting the presence of PE on LUS at an accuracy greater than 90%, when compared to an experienced LUS operator.

METHODS

This follow-up study aimed to develop a deep-learning model to provide segmentations for PE in LUS. Three thousand and forty-one LUS images from twenty-four patients diagnosed with PE were selected for this study. Two LUS experts provided the ground truth for training by reviewing and segmenting the images. The algorithm was then trained using ten-fold cross-validation. Once training was completed, the algorithm segmented a separate subset of patients.

RESULTS

Comparing the segmentations, we demonstrated an average Dice Similarity Coefficient (DSC) of 0.70 between the algorithm and experts. In contrast, an average DSC of 0.61 was observed between the experts.

CONCLUSION

In summary, we showed that the trained algorithm achieved a comparable average DSC at PE segmentation. This represents a promising step toward developing a computational tool for accurately augmenting PE diagnosis and treatment.

Association of Internal Medicine Point of Care Ultrasound (POCUS) with Length of Stay, Hospitalization Costs, and Formal Imaging: a Prospective Cohort Study

Background: Point of care ultrasound (POCUS) use has rapidly expanded among internal medicine (IM) physicians in practice and residency training programs. Many benefits have been established; however, studies demonstrating the impact of POCUS on system metrics are few and mostly limited to the emergency department or intensive care setting. The study objective was to evaluate the impact of inpatient POCUS on patient outcomes and hospitalization metrics. Methods: Prospective cohort study of 12,399 consecutive adult admissions to 22 IM teaching attendings, at a quaternary care teaching hospital (7/1/2011-6/30/2015), with or without POCUS available during a given hospitalization. Multivariable regression and propensity score matching (PSM) analyses compared multiple hospital metric outcomes (costs, length of stay, radiology-based imaging, satisfaction, etc.) between the "POCUS available" vs. "POCUS unavailable" groups as well as the "POCUS available" subgroups of "POCUS used" vs. "POCUS not used". Results: Patients in the "POCUS available" vs. "POCUS unavailable" group had lower mean total and per-day hospital costs ($17,474 vs. $21,803, p<0.001; $2,805.88 vs. $3,557.53, p<0.001), lower total and per-day radiology cost ($705.41 vs. $829.12, p<0.001; $163.11 vs. $198.53, p<0.001), fewer total chest X-rays (1.31 vs. 1.55, p=0.01), but more chest CTs (0.22 vs 0.15; p=0.001). Mean length of stay (LOS) was 5.77 days (95% CI = 5.63, 5.91) in the "POCUS available" group vs. 6.08 95% CI (5.66, 6.51) in the "POCUS unavailable" group (p=0.14). Within the "POCUS available" group, cost analysis with a 4:1 PSM (including LOS as a covariate) compared patients receiving POCUS vs. those that could have but did not, and also showed total and per-day cost savings in the "POCUS used" subgroup ($15,082 vs. 15,746; p<0.001 and $2,685 vs. $2,753; p=0.04). Conclusions: Availability and selected use of POCUS was associated with a meaningful reduction in total hospitalization cost, radiology cost, and chest X-rays for hospitalized patients.

Point-of-care ultrasound improves clinical outcomes in patients with acute onset dyspnea: a systematic review and meta-analysis

The early, appropriate management of acute onset dyspnea is important but often challenging. The aim of this study was to investigate the effects of the use of Point-of-Care Ultrasound (PoCUS) versus conventional management on clinical outcomes in patients with acute onset dyspnea. The Cochrane Library, MEDLINE, EMBASE and reference lists were searched to identify eligible trials (inception to October 14, 2021). There were no language restrictions. Randomized controlled trials (RCTs), and prospective and retrospective cohort studies that compared PoCUS with conventional diagnostic modalities (controls) in patients with acute onset dyspnea were included. Two independent reviewers extracted data and assessed the risk of bias. Disagreements were resolved by consensus. The primary study outcomes were time to diagnosis, time to treatment, and length of stay (LOS). Secondary outcomes included rate of appropriate treatment, 30-day re-admission rate, and mortality. We included eight RCTs and six observational studies with a total of 5393 participants. Heterogeneity across studies was variable (from low to considerable), with overall low or moderate study quality and low or moderate risk of bias (except one article with serious risk of bias). Time to diagnosis (mean difference [MD], - 63 min; 95% CI, - 115 to - 11 min] and time to treatment (MD, - 27 min; 95% CI - 43 to - 11 min) were significantly shorter in the PoCUS group. In-hospital LOS showed no differences between the two groups, but LOS in the Intensive Care Unit (MD, - 1.27 days; - 1.94 to - 0.61 days) was significantly shorter in the PoCUS group. Patients in the PoCUS group showed significantly higher odds of receiving appropriate therapy compared to controls (odds ratio [OR], 2.31; 95% CI, 1.61-3.32), but there was no significant effect on 30-day re-admission rate and in-hospital or 30-day mortality. Our results indicate that PoCUS use contributes to early diagnosis and better outcomes compared to conventional methods in patients admitted with acute onset dyspnea.