Validation of a tool for estimating clinician recognition of ARDS using data from the international LUNG SAFE study.

Under-recognition of acute respiratory distress syndrome (ARDS) by clinicians is an important barrier to adoption of evidence-based practices such as low tidal volume ventilation. The burden created by the COVID-19 pandemic makes it even more critical to develop scalable data-driven tools to improve ARDS recognition. The objective of this study was to validate a tool for accurately estimating clinician ARDS recognition rates using discrete clinical characteristics easily available in electronic health records. We conducted a secondary analysis of 2,705 ARDS and 1,261 non-ARDS hypoxemic patients in the international LUNG SAFE cohort. The primary outcome was validation of a tool that estimates clinician ARDS recognition rates from health record data. Secondary outcomes included the relative impact of clinical characteristics on tidal volume delivery and clinician documentation of ARDS. In both ARDS and non-ARDS patients, greater height was associated with lower standardized tidal volume (mL/kg PBW) (ARDS: adjusted ß = -4.1, 95% CI -4.5 --3.6; non-ARDS: ß = -7.7, 95% CI -8.8 --6.7, P<0.00009 [where α = 0.01/111 with the Bonferroni correction]). Standardized tidal volume has already been normalized for patient height, and furthermore, height was not associated with clinician documentation of ARDS. Worsening hypoxemia was associated with both increased clinician documentation of ARDS (ß = -0.074, 95% CI -0.093 --0.056, P<0.00009) and lower standardized tidal volume (ß = 1.3, 95% CI 0.94-1.6, P<0.00009) in ARDS patients. Increasing chest imaging opacities, plateau pressure, and clinician documentation of ARDS also were associated with lower tidal volume in ARDS patients. Our EHR-based data-driven approach using height, gender, ARDS documentation, and lowest standardized tidal volume yielded estimates of clinician ARDS recognition rates of 54% for mild, 63% for moderate, and 73% for severe ARDS. Our tool replicated clinician-reported ARDS recognition in the LUNG SAFE study, enabling the identification of ARDS patients at high risk of being unrecognized. Our approach can be generalized to other conditions for which there is a need to increase adoption of evidence-based care.

Usability of Hospital Price Estimators for Lumbar Spine MRI.

PURPOSE: The aim of this study was to evaluate the usability of online hospital price estimators for a common imaging examination using surrogate patients. METHODS: Using the Amazon Mechanical Turk platform, the authors recruited adult English-speaking US residents as surrogate patients to find the cash price for a noncontrast lumbar spine MRI examination for a self-pay patient using price estimator tools at four hospitals. All were asked to view a 3-min tutorial video and report their experiences with the task, including the System Usability Scale (SUS) for the estimator, through a paid survey. Participants were queried about demographics, insurance, prior imaging exposure, and assessed health literacy and health insurance literacy using validated measures. Multivariable analysis for correct price identification and price estimator SUS were performed. RESULTS: Of 660 respondents, 476 met eligibility criteria (72.7% <45 years of age, 41.7% female, 86.1% white); 76.9% found all four estimators, and 9.2% were unable to locate any. Only 27.7% found the correct price at all four hospitals, with 67.4% being able to find at least one correct cash price. Average SUS score for the hospitals' estimators ranged between 62.4 and 77.5. The hospital with a similar estimator to that used in the tutorial video had the highest SUS score. Accuracy of price identification improved with later tasks. Higher health insurance literacy was associated with higher identification of at least one correct price (odds ratio, 1.21; 95% confidence interval, 1.02-1.44) and higher SUS score (B = 1.68; 95% confidence interval, 1.07-2.29). CONCLUSIONS: Surrogate patients were able to locate hospital price estimators but unable to effectively use them to obtain correct prices. Tutorial videos improved SUS score, but correct price identification improved with practice.

The first step is recognizing there is a problem: a methodology for adjusting for variability in disease severity when estimating clinician performance.

BACKGROUND: Adoption of innovations in the field of medicine is frequently hindered by a failure to recognize the condition targeted by the innovation. This is particularly true in cases where recognition requires integration of patient information from different sources, or where disease presentation can be heterogeneous and the recognition step may be easier for some patients than for others. METHODS: We propose a general data-driven metric for clinician recognition that accounts for the variability in patient disease severity and for institutional standards. As a case study, we evaluate the ventilatory management of 362 patients with acute respiratory distress syndrome (ARDS) at a large academic hospital, because clinician recognition of ARDS has been identified as a major barrier to adoption to evidence-based ventilatory management. We calculate our metric for the 48 critical care physicians caring for these patients and examine the relationships between differences in ARDS recognition performance from overall institutional levels and provider characteristics such as demographics, social network position, and self-reported barriers and opinions. RESULTS: Our metric was found to be robust to patient characteristics previously demonstrated to affect ARDS recognition, such as disease severity and patient height. Training background was the only factor in this study that showed an association with physician recognition. Pulmonary and critical care medicine (PCCM) training was associated with higher recognition (ß = 0.63, 95% confidence interval 0.46-0.80, p < 7 × 10- 5). Non-PCCM physicians recognized ARDS cases less frequently and expressed greater satisfaction with the ability to get the information needed for making an ARDS diagnosis (p < 5 × 10- 4), suggesting that lower performing clinicians may be less aware of institutional barriers. CONCLUSIONS: We present a data-driven metric of clinician disease recognition that accounts for variability in patient disease severity and for institutional standards. Using this metric, we identify two unique physician populations with different intervention needs. One population consistently recognizes ARDS and reports barriers vs one does not and reports fewer barriers.

Chest radiograph at admission predicts early intubation among inpatient COVID-19 patients.

OBJECTIVE: The 2019 Coronavirus (COVID-19) results in a wide range of clinical severity and there remains a need for prognostic tools which identify patients at risk of rapid deterioration and who require critical care. Chest radiography (CXR) is routinely obtained at admission of COVID-19 patients. However, little is known regarding correlates between CXR severity and time to intubation. We hypothesize that the degree of opacification on CXR at time of admission independently predicts need and time to intubation. METHODS: In this retrospective cohort study, we reviewed COVID-19 patients who were admitted to an urban medical center during March 2020 that had a CXR performed on the day of admission. CXRs were divided into 12 lung zones and were assessed by two blinded thoracic radiologists. A COVID-19 opacification rating score (CORS) was generated by assigning one point for each lung zone in which an opacity was observed. Underlying comorbidities were abstracted and assessed for association. RESULTS: One hundred forty patients were included in this study and 47 (34%) patients required intubation during the admission. Patients with CORS ≥ 6 demonstrated significantly higher rates of early intubation within 48 h of admission and during the hospital stay (ORs 24 h, 19.8, p < 0.001; 48 h, 28.1, p < 0.001; intubation during hospital stay, 6.1, p < 0.0001). There was no significant correlation between CORS ≥ 6 and age, sex, BMI, or any underlying cardiac or pulmonary comorbidities. CONCLUSIONS: CORS ≥ 6 at the time of admission predicts need for intubation, with significant increases in intubation at 24 and 48 h, independent of comorbidities. KEY POINTS: • Chest radiography at the time of admission independently predicts time to intubation within 48 h and during the hospital stay in COVID-19 patients. • More opacities on chest radiography are associated with several fold increases in early mechanical ventilation among COVID-19 patients. • Chest radiography is useful in identifying COVID-19 patients whom may rapidly deteriorate and help inform clinical management as well as hospital bed and ventilation allocation.

A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data.

IMPORTANCE: Despite its efficacy, low tidal volume ventilation (LTVV) remains severely underutilized for patients with acute respiratory distress syndrome (ARDS). Physician under-recognition of ARDS is a significant barrier to LTVV use. We propose a computational method that addresses some of the limitations of the current approaches to automated measurement of whether ARDS is recognized by physicians. OBJECTIVE: To quantify patient and physician factors affecting physicians' tidal volume selection and to build a computational model of physician recognition of ARDS that accounts for these factors. DESIGN, SETTING, AND PARTICIPANTS: In this cross-sectional study, electronic health record data were collected for 361 ARDS patients and 388 non-ARDS hypoxemic (control) patients in nine adult intensive care units at four hospitals between June 24 and December 31, 2013. METHODS: Standardized tidal volumes (mL/kg predicted body weight) were chosen as a proxy for physician decision-making behavior. Using data-science approaches, we quantified the effect of eight factors (six severity of illness, two physician behaviors) on selected standardized tidal volumes in ARDS and control patients. Significant factors were incorporated in computational behavioral models of physician recognition of ARDS. RESULTS: Hypoxemia severity and ARDS documentation in physicians' notes were associated with lower standardized tidal volumes in the ARDS cohort. Greater patient height was associated with lower standardized tidal volumes (which is already normalized for height) in both ARDS and control patients. The recognition model yielded a mean (99% confidence interval) physician recognition of ARDS of 22% (9%-42%) for mild, 34% (19%-49%) for moderate, and 67% (41%-100%) for severe ARDS. CONCLUSIONS AND RELEVANCE: In this study, patient characteristics and physician behaviors were demonstrated to be associated with differences in ventilator management in both ARDS and control patients. Our model of physician ARDS recognition measurement accounts for these clinical variables, providing an electronic approach that moves beyond relying on chart documentation or resource intensive approaches.

A Critical Care Clinician Survey Comparing Attitudes and Perceived Barriers to Low Tidal Volume Ventilation with Actual Practice.

RATIONALE: Low-Vt ventilation lowers mortality in patients with acute respiratory distress syndrome (ARDS) but is underused. Little is known about clinician attitudes toward and perceived barriers to low-Vt ventilation use and their association with actual low-Vt ventilation use. OBJECTIVES: The objectives of this study were to assess clinicians' attitudes toward and perceived barriers to low-Vt ventilation (Vt <6.5 ml/kg predicted body weight) in patients with ARDS, to identify differences in attitudes and perceived barriers among clinician types, and to compare attitudes toward and perceived barriers to actual low-Vt ventilation use in patients with ARDS. METHODS: We conducted a survey of critical care physicians, nurses, and respiratory therapists at four non-ARDS Network hospitals in the Chicago region. We compared survey responses with performance in a cohort of 362 patients with ARDS. RESULTS: Survey responses included clinician attitudes toward and perceived barriers to low-Vt ventilation use. We also measured low-Vt ventilation initiation by these clinicians in 347 patients with ARDS initiated after ARDS onset as well as correlation with clinician attitudes and perceived barriers. Of 674 clinicians surveyed, 467 (69.3%) responded. Clinicians had positive attitudes toward and perceived few process barriers to ARDS diagnosis or initiation of low-Vt ventilation. Physicians had more positive attitudes and perceived fewer barriers than nurses or respiratory therapists. However, use of low-Vt ventilation by all three clinician groups was low. For example, whereas physicians believed that 92.5% of their patients with ARDS warranted treatment with low-Vt ventilation, they initiated low-Vt ventilation for a median (interquartile range) of 7.4% (0 to 14.3%) of their eligible patients with ARDS. Clinician attitudes and perceived barriers were not correlated with low-Vt ventilation initiation. CONCLUSIONS: Clinicians had positive attitudes toward low-Vt ventilation and perceived few barriers to using it, but attitudes and perceived process barriers were not correlated with actual low-Vt ventilation use, which was low. Implementation strategies should be focused on examining other issues, such as ARDS recognition and process solutions, to improve low-Vt ventilation use.

Low Tidal Volume Ventilation Use in Acute Respiratory Distress Syndrome.

OBJECTIVE: Low tidal volume ventilation lowers mortality in the acute respiratory distress syndrome. Previous studies reported poor low tidal volume ventilation implementation. We sought to determine the rate, quality, and predictors of low tidal volume ventilation use. DESIGN: Retrospective cross-sectional study. SETTING: One academic and three community hospitals in the Chicago region. PATIENTS: A total of 362 adults meeting the Berlin Definition of acute respiratory distress syndrome consecutively admitted between June and December 2013. MEASUREMENTS AND MAIN RESULTS: Seventy patients (19.3%) were treated with low tidal volume ventilation (tidal volume < 6.5 mL/kg predicted body weight) at some time during mechanical ventilation. In total, 22.2% of patients requiring an FIO2 greater than 40% and 37.3% of patients with FIO2 greater than 40% and plateau pressure greater than 30 cm H2O received low tidal volume ventilation. The entire cohort received low tidal volume ventilation 11.4% of the time patients had acute respiratory distress syndrome. Among patients who received low tidal volume ventilation, the mean (SD) percentage of acute respiratory distress syndrome time it was used was 59.1% (38.2%), and 34% waited more than 72 hours prior to low tidal volume ventilation initiation. Women were less likely to receive low tidal volume ventilation, whereas sepsis and FIO2 greater than 40% were associated with increased odds of low tidal volume ventilation use. Four attending physicians (6.2%) initiated low tidal volume ventilation within 1 day of acute respiratory distress syndrome onset for greater than or equal to 50% of their patients, whereas 34 physicians (52.3%) never initiated low tidal volume ventilation within 1 day of acute respiratory distress syndrome onset. In total, 54.4% of patients received a tidal volume less than 8 mL/kg predicted body weight, and the mean tidal volume during the first 72 hours after acute respiratory distress syndrome onset was never less than 8 mL/kg predicted body weight. CONCLUSIONS: More than 12 years after publication of the landmark low tidal volume ventilation study, use remains poor. Interventions that improve adoption of low tidal volume ventilation are needed.

Loss of myoferlin redirects breast cancer cell motility towards collective migration.

Cell migration plays a central role in the invasion and metastasis of tumors. As cells leave the primary tumor, they undergo an epithelial to mesenchymal transition (EMT) and migrate as single cells. Epithelial tumor cells may also migrate in a highly directional manner as a collective group in some settings. We previously discovered that myoferlin (MYOF) is overexpressed in breast cancer cells and depletion of MYOF results in a mesenchymal to epithelial transition (MET) and reduced invasion through extracellular matrix (ECM). However, the biomechanical mechanisms governing cell motility during MYOF depletion are poorly understood. We first demonstrated that lentivirus-driven shRNA-induced MYOF loss in MDA-MB-231 breast cancer cells (MDA-231(MYOF-KD)) leads to an epithelial morphology compared to the mesenchymal morphology observed in control (MDA-231(LTVC)) and wild-type cells. Knockdown of MYOF led to significant reductions in cell migration velocity and MDA-231(MYOF-KD) cells migrated directionally and collectively, while MDA-231(LTVC) cells exhibited single cell migration. Decreased migration velocity and collective migration were accompanied by significant changes in cell mechanics. MDA-231(MYOF-KD) cells exhibited a 2-fold decrease in cell stiffness, a 2-fold increase in cell-substrate adhesion and a 1.5-fold decrease in traction force generation. In vivo studies demonstrated that when immunocompromised mice were implanted with MDA-231(MYOF-KD) cells, tumors were smaller and demonstrated lower tumor burden. Moreover, MDA-231(MYOF-KD) tumors were highly circularized and did not invade locally into the adventia in contrast to MDA-231(LTVC)-injected animals. Thus MYOF loss is associated with a change in tumor formation in xenografts and leads to smaller, less invasive tumors. These data indicate that MYOF, a previously unrecognized protein in cancer, is involved in MDA-MB-231 cell migration and contributes to biomechanical alterations. Our results indicate that changes in biomechanical properties following loss of this protein may be an effective way to alter the invasive capacity of cancer cells.