Citations

Production of bowel sounds, established in the 1900s, has limited application in existing patient-care regimes and diagnostic modalities. We review the physiology of bowel sound production, the developments in recording technologies and the clinical application in various scenarios, to understand the potential of a bowel sound recording and analysis device—the phonoenterogram in future gastroenterological practice. Bowel sound production depends on but is not entirely limited to the type of food consumed, amount of air ingested and the type of intestinal contractions. Recording technologies for extraction and analysis of these include the wavelet-based filtering, autoregressive moving average model, multivariate empirical mode decompression, radial basis function network, two-dimensional positional mapping, neural network model and acoustic biosensor technique. Prior studies evaluate the application of bowel sounds in conditions such as intestinal obstruction, acute appendicitis, large bowel disorders such as inflammatory bowel disease and bowel polyps, ascites, post-operative ileus, sepsis, irritable bowel syndrome, diabetes mellitus, neurodegenerative disorders such as Parkinson’s disease and neonatal conditions such as hypertrophic pyloric stenosis. Recording and analysis of bowel sounds using artificial intelligence is crucial for creating an accessible, inexpensive and safe device with a broad range of clinical applications. Microwave-based digital phonoenterography has huge potential for impacting GI practice and patient care.

Importance Little is known about the burden and outcomes of respiratory syncytial virus (RSV)–positive acute respiratory infection (ARI) in community-dwelling older adults. Objective To assess the incidence of RSV-positive ARI before and during the COVID-19 pandemic, and to assess outcomes for RSV-positive ARI in older adults. Design, Setting, and Participants This was a community-based cohort study of adults residing in southeast Minnesota that followed up with 2325 adults aged 50 years or older for 2 RSV seasons (2019-2021) to assess the incidence of RSV-positive ARI. The study assessed outcomes at 2 to 4 weeks, 6 to 7 months, and 12 to 13 months after RSV-positive ARI. Exposure RSV-positive and -negative ARI. Main Outcomes and Measures RSV status was the main study outcome. Incidence and attack rates of RSV-positive ARI were calculated during each RSV season, including before (October 2019 to April 2020) and during (October 2020 to April 2021) COVID-19 pandemic, and further calculated during non-RSV season (May to September 2021) for assessing impact of COVID-19. The self-reported quality of life (QOL) by Short-Form Health Survey-36 (SF-36) and physical functional measures (eg, 6-minute walk and spirometry) at each time point was assessed. Results In this study of 2325 participants, the median (range) age of study participants was 67 (50-98) years, 1380 (59%) were female, and 2240 (96%) were non-Hispanic White individuals. The prepandemic incidence rate of RSV-positive ARI was 48.6 (95% CI, 36.9-62.9) per 1000 person-years with a 2.50% (95% CI, 1.90%-3.21%) attack rate. No RSV-positive ARI case was identified during the COVID-19 pandemic RSV season. Incidence of 10.2 (95% CI, 4.1-21.1) per 1000 person-years and attack rate of 0.42%; (95% CI, 0.17%-0.86%) were observed during the summer of 2021. Based on prepandemic RSV season results, participants with RSV-positive ARI (vs matched RSV-negative ARI) reported significantly lower QOL adjusted mean difference (limitations due to physical health, −16.7 [95% CI, −31.8 to −1.8]; fatigue, −8.4 [95% CI, −14.3 to −2.4]; and difficulty in social functioning, −11.9 [95% CI, −19.8 to −4.0] within 2 to 4 weeks after RSV-positive ARI [ie, short-term outcome]). Compared with participants with RSV-negative ARI, those with RSV-positive ARI also had lower QOL (fatigue: −4.0 [95% CI, −8.5 to −1.3]; difficulty in social functioning, −5.8 [95% CI, −10.3 to −1.3]; and limitation due to emotional problem, −7.0 [95% CI, −12.7 to −1.3] at 6 to 7 months after RSV-positive ARI [intermediate-term outcome]; fatigue, −4.4 [95% CI, −7.3 to −1.5]; difficulty in social functioning, −5.2 [95% CI, −8.7 to −1.7] and limitation due to emotional problem, −5.7 [95% CI, −10.7 to −0.6] at 12-13 months after RSV-positive ARI [ie, long-term outcomes]) independent of age, sex, race and/or ethnicity, socioeconomic status, and high-risk comorbidities. Conclusions and Relevance In this cohort study, the burden of RSV-positive ARI in older adults during the pre-COVID-19 period was substantial. After a reduction of RSV-positive ARI incidence from October 2020 to April 2021, RSV-positive ARI re-emerged during the summer of 2021. RSV-positive ARI was associated with significant long-term lower QOL beyond the short-term lower QOL in older adults.

Abstract Context Metformin is the first-line drug for treating diabetes but has a high failure rate. Objective To identify demographic and clinical factors available in the electronic health record (EHR) that predict metformin failure. Methods A cohort of patients with at least 1 abnormal diabetes screening test that initiated metformin was identified at 3 sites (Arizona, Mississippi, and Minnesota). We identified 22 047 metformin initiators (48% female, mean age of 57 ± 14 years) including 2141 African Americans, 440 Asians, 962 Other/Multiracial, 1539 Hispanics, and 16 764 non-Hispanic White people. We defined metformin failure as either the lack of a target glycated hemoglobin (HbA1c) (<7%) within 18 months of index or the start of dual therapy. We used tree-based extreme gradient boosting (XGBoost) models to assess overall risk prediction performance and relative contribution of individual factors when using EHR data for risk of metformin failure. Results In this large diverse population, we observed a high rate of metformin failure (43%). The XGBoost model that included baseline HbA1c, age, sex, and race/ethnicity corresponded to high discrimination performance (C-index of 0.731; 95% CI 0.722, 0.740) for risk of metformin failure. Baseline HbA1c corresponded to the largest feature performance with higher levels associated with metformin failure. The addition of other clinical factors improved model performance (0.745; 95% CI 0.737, 0.754, P < .0001). Conclusion Baseline HbA1c was the strongest predictor of metformin failure and additional factors substantially improved performance suggesting that routinely available clinical data could be used to identify patients at high risk of metformin failure who might benefit from closer monitoring and earlier treatment intensification.

The use of lymphoid interstitial pneumonia (LIP) as a diagnostic term has changed considerably since its introduction. Utilizing a multi-institutional collection of 201 cases from the last 20 years that demonstrate features associated with the LIP rubric, we compared cases meeting strict histologic criteria of LIP per American Thoracic Society (ATS)/European Respiratory Society (ERS) consensus (“pathologic LIP”; n=62) with cystic cases fulfilling radiologic ATS/ERS criteria (“radiologic LIP”; n=33) and with other diffuse benign lymphoid proliferations. “Pathologic LIP” was associated with immune dysregulation including autoimmune disorders and immune deficiency, whereas “radiologic LIP” was only seen with autoimmune disorders. No case of idiopathic LIP was found. On histology, “pathologic LIP” represented a subgroup of 70% (62/88) of cases with the distinctive pattern of diffuse expansile lymphoid infiltrates. In contrast, “radiologic LIP” demonstrated a broad spectrum of inflammatory patterns, airway-centered inflammation being most common (52%; 17/33). Only 5 cases with radiologic cysts also met consensus ATS/ERS criteria for “pathologic LIP.” Overall, broad overlap was observed with the remaining study cases that failed to meet consensus criteria for “radiologic LIP” and/or “pathologic LIP.” These data raise concerns about the practical use of the term LIP as currently defined. What radiologists and pathologist encounter as LIP differs remarkably, but neither “radiologic LIP” nor “pathologic LIP” present with sufficiently distinct findings to delineate such cases from other patterns of diffuse benign lymphoid proliferations. As a result of this study, we believe LIP should be abandoned as a pathologic and radiologic diagnosis.

AbstractBackgroundARIA is a common side effect of aducanumab, the first anti‐amyloid pharmacotherapy approved by the US Food and Drug Administration (FDA) to treat Alzheimer’s disease. Regular MRI is required by FDA to detect and monitor different forms of ARIA during initiation of therapy. MRI protocols must be a) high resolution to detect abnormalities with high sensitivity, b) fast to accommodate workflow and ensure patient compliance and c) standardized to maximize data acquisition consistency across sites. Based on a vendor agnostic protocol recommendation by Benzinger et al (CTAD 2021), we propose specific parameters for 3T Philips systems, for an accelerated and enhanced protocol.MethodThe protocol was developed on a 3T Philips Elition X scanner, using 32‐channel head coil, and included 3D T1, 3D FLAIR, 2D DWI, 2D T2* and multi echo 3D Susceptibility Weighted Imaging (SWI) sequences.ResultAcquisition voxel resolution of 3D T1, 3D FLAIR, T2* and DWI matches current recommendations. 3D SWI resolution is 0.7x0.7x2mm. Compressed‐SENSE (C‐SENSE) acceleration is applied on 3D T1, 3D FLAIR, T2* and 3D SWI. SENSE is applied on DWI (Figure 1). Total acquisition time including the additional 3D SWI scan is 11 minutes, 6 minutes faster than the original recommendation. Qualitative assessment of images showed high signal‐to‐noise and contrast‐to‐noise. Images were free of acceleration related artifacts. Automated slice prescription localizer ensures better reproducibility for longitudinal assessment.ConclusionImaging protocol standardization is necessary to ensure consistent accuracy for diagnosing ARIA. Broad recommendations leave room for variability, therefore specific parameters are needed to achieve cross‐platform standardization. Our protocol is applicable for 3T Philips systems with compressed‐SENSE capability and 32‐channel head coil. The recommended C‐SENSE values maintain image quality with shorter exam time. This is more comfortable for patients and easier to fit into the workflow. The higher sensitivity of SWI can improve thresholds for therapy monitoring and provide additional quantitative measurements.

AbstractBackgroundARIA is a common side effect of aducanumab, the first anti‐amyloid pharmacotherapy approved by the US Food and Drug Administration (FDA) to treat Alzheimer’s disease. Regular MRI is required by FDA to detect and monitor different forms of ARIA during initiation of therapy. MRI protocols must be a) high resolution to detect abnormalities with high sensitivity, b) fast to accommodate workflow and ensure patient compliance and c) standardized to maximize data acquisition consistency across sites. Based on a vendor agnostic protocol recommendation by Benzinger et al (CTAD 2021), we propose specific parameters for 3T Philips systems, for an accelerated and enhanced protocol.MethodThe protocol was developed on a 3T Philips Elition X scanner, using 32‐channel head coil, and included 3D T1, 3D FLAIR, 2D DWI, 2D T2* and multi echo 3D Susceptibility Weighted Imaging (SWI) sequences.ResultAcquisition voxel resolution of 3D T1, 3D FLAIR, T2* and DWI matches current recommendations. 3D SWI resolution is 0.7x0.7x2mm. Compressed‐SENSE (C‐SENSE) acceleration is applied on 3D T1, 3D FLAIR, T2* and 3D SWI. SENSE is applied on DWI (Figure 1). Total acquisition time including the additional 3D SWI scan is 11 minutes, 6 minutes faster than the original recommendation. Qualitative assessment of images showed high signal‐to‐noise and contrast‐to‐noise. Images were free of acceleration related artifacts. Automated slice prescription localizer ensures better reproducibility for longitudinal assessment.ConclusionImaging protocol standardization is necessary to ensure consistent accuracy for diagnosing ARIA. Broad recommendations leave room for variability, therefore specific parameters are needed to achieve cross‐platform standardization. Our protocol is applicable for 3T Philips systems with compressed‐SENSE capability and 32‐channel head coil. The recommended C‐SENSE values maintain image quality with shorter exam time. This is more comfortable for patients and easier to fit into the workflow. The higher sensitivity of SWI can improve thresholds for therapy monitoring and provide additional quantitative measurements.