Post-intensive cardiac care outpatient long-term outreach clinic (PICCOLO clinic): Defining health care needs and outcomes among coronary care unit survivors.

Objective: Patients who survive critical illness endure complex physical and mental health conditions, referred to as post-intensive care syndrome (PICS). The University of Michigan's post-intensive cardiac care outpatient long-term outreach (PICCOLO) clinic is designed for patients recently admitted to the coronary care unit (CCU). The long-term goal of this clinic is to understand post-CCU patients' needs and design targeted interventions to reduce their morbidity and mortality post-discharge. As a first step toward this goal, we aimed to define the post-discharge needs of CCU survivors. Design setting particpants: We retrospectively reviewed case-mix data (including rates of depression, PTSD, disability, and cognitive abnormalities) and health outcomes for patients referred to the PICCOLO clinic from July 1, 2018, through June 30, 2021 at Michigan Medicine. Results: Of the 134 referred patients meeting inclusion criteria, 74 (55 %) patients were seen in the PICCOLO clinic within 30 days of discharge. Patients seen in the clinic frequently screened positive for depression (PHQ-2 score ≥3, 21.4 %) and cognitive impairment (MOCA <26, 38.8 %). Further, patients also reported high rates of physical difficulty (mean WHODAS 2.0 score 28.4 %, consistent with moderate physical difficulty). Consistent with medical intensive care unit (ICU) patients, CCU survivors experience PICS. Conclusion: This work highlights the feasibility of an outpatient care model and the need to leverage information gathered from this care model to develop treatment strategies and pathways to address symptoms of PICS in CCU survivors, including depression, cognitive impairment, and physical disability.

Outcomes and Management After COVID-19 Critical Illness.

TOPIC IMPORTANCE: COVID-19 has caused > 7 million deaths worldwide since its onset in 2019. Although the severity of illness has varied throughout the pandemic, critical illness related to COVID-19 persists. Survivors of COVID-19 critical illness can be left with sequelae of both the SARS-CoV-2 virus and long-term effects of critical illness included within post-intensive care syndrome. Given the complexity and heterogeneity of COVID-19 critical illness, the biopsychosocial-ecological model can aid in evaluation and treatment of survivors, integrating interactions among physical, cognitive, and psychological domains, as well as social systems and environments. REVIEW FINDINGS: Prolonged illness after COVID-19 critical illness generally can be classified into effects on physical, cognitive, and psychosocial function, with much interaction among the various effects, and includes a wide range of symptoms such as ICU-acquired weakness, prolonged respiratory symptoms, cognitive changes, post-traumatic stress disorder post-traumatic stress disorder, anxiety, and depression. Risk factors for COVID-19 critical illness developing are complex and include preexisting factors, disease course, and specifics of hospitalization in addition to psychological comorbidities and socioenvironmental factors. Recovery trajectories are not well defined, and management requires a comprehensive, interdisciplinary, and individualized approach to care. SUMMARY: The onset of vaccinations, new therapeutics, and new strains of SARS-CoV-2 virus have decreased COVID-19 mortality; however, the number of survivors of COVID-19 critical illness remains high. A biopsychosocial-ecological approach is recommended to guide care of COVID-19 critical illness survivors.

Identification of Patient Safety Threats in a Post-Intensive Care Clinic.

The extent to which postintensive care unit (ICU) clinics may improve patient safety for those discharged after receiving intensive care remains unclear. This observational cohort study conducted at an academic, tertiary care medical center used qualitative survey data analyzed via conventional content analysis to describe patient safety threats encountered in the post-ICU clinic. For 83 included patients, safety threats were identified for 60 patients resulting in 96 separate safety threats. These were categorized into 7 themes: medication errors (27%); inadequate medical follow-up (25%); inadequate patient support (16%); high-risk behaviors (5%); medical complications (5%); equipment/supplies failures (4%); and other (18%). Of the 96 safety threats, 41% were preventable, 27% ameliorable, and 32% were neither preventable nor ameliorable. Nearly 3 out of 4 patients within a post-ICU clinic had an identifiable safety threat. Medication errors and delayed medical follow-up were the most common safety threats identified; most were either preventable or ameliorable.

Differences in international medical graduates' letters of recommendation by gender in pulmonary and critical care medicine: a cohort analysis.

BACKGROUND: International Medical Graduates (IMGs) encounter barriers as they seek to match into fellowship programs in the United States (US). This study's objective is to determine if there are differences in letters of recommendation written for IMGs compared to U.S. Medical Graduates (USMGs) applying to pulmonary and critical care medicine (PCCM) fellowship programs. METHODS: All applications submitted to a PCCM fellowship program in 2021 were included in this study. The applicant demographics and accomplishments were mined from applications. The gender of letter writers was identified by the author's pronouns on professional websites. Word count and language differences in the letters were analyzed for each applicant using the Linguistic Inquiry and Word Count (LWIC2015) program. Multivariable linear regressions were performed controlling for applicant characteristics to identify if IMG status was associated with total word count and degree of support, measured by a composite outcome encompassing several categories of adjectives, compared to USMG status. RESULTS: Of the 573 applications, most of the applicants were USMGs (72%, N = 334/573). When adjusting for applicant characteristics, IMG applicants had shorter letters of recommendation (87.81 total words shorter 95% CI: - 118.61, - 57.00, p-value < 0.01) and less supportive letters (4.79 composite words shorter 95% CI: - 6.61, - 2.97, p-value < 0.01), as compared to USMG applicants. Notably, female IMG applicants had the biggest difference in their word counts compared to USMG applicants when the letter writer was a man. CONCLUSIONS: IMG applicants to a PCCM fellowship received shorter and less supportive letters of recommendation compared to USMG applicants.

Team dynamics in a COVID-19 intensive care unit: A qualitative study.

BACKGROUND: During the COVID-19 pandemic, new intensive care units (ICUs) were created and clinicians were assigned or volunteered to work in these ICUs. These new ICU teams were newly formed and may have had varying practice styles which could affect team dynamics. The purpose of our qualitative descriptive study was to explore clinician perceptions of team dynamics in this newly formed ICU and specifically understand the challenges and potential improvements in this environment to guide future planning and preparedness in ICUs. METHODS: We conducted 14 semistructured one-on-one interviews with six nurses and eight physicians from a newly formed 36- to 50-bed medical ICU designed for COVID-19 patients in a teaching hospital. We purposively sampled and recruited ICU nurses, medical/surgical nurses, fellows, and attending physicians (with pulmonary/critical care and anaesthesia training) to participate. Participants were asked about team dynamics in the ICU, its challenges, and potential solutions. We then used a rapid analytic approach by first deductively categorising interview data into themes, based on our interview guide, to create a unique data summary for each interview. Then, these data were transferred to a matrix to compare data across all interviews and inductively analysed these data to provide deeper insights into team dynamics in ICUs. RESULTS: We identified two themes that impacted team dynamics positively (facilitator) and negatively (barrier): interpersonal factors (individual character traits and interactions among clinicians) and structural factors (unit-level factors affecting workflow, organisation, and administration). Clinicians had several suggestions to improve team dynamics (e.g., scheduling to ensure clinicians familiar with one another worked together, standardisation of care processes across teams, and disciplines). CONCLUSIONS: In a newly formed COVID ICU, interpersonal factors and structural factors impacted the team's ability to work together. Considering team dynamics during ICU reorganisation is crucial and requires thoughtful attention to interpersonal and structural factors.

Survivorship After Critical Illness and Post-Intensive Care Syndrome.

Improvements in critical care medicine have led to a marked increase in survivors of the intensive care unit (ICU). These survivors encounter many difficulties following ICU discharge. The term post -intensive care syndrome (PICS) provides a framework for identifying the most common symptoms which fall into three domains: cognitive, physical, and mental health. There are numerous risk factors for the development of PICS including premorbid conditions and specific elements of ICU hospitalizations. Management is complex and should take an individualized approach with interdisciplinary care. Future research should focus on prevention, identification, and treatment of this unique population.

The Harvard Medical School Pathways curriculum: A comprehensive curricular evaluation.

PURPOSE: The Harvard Medical School Pathways curriculum represents a major reform effort. Our goals were to enhance reasoning and clinical skills and improve the learning environment and students' approach to learning via use of collaborative, case-based pedagogy; early clinical exposure; and enhanced approaches to teaching and evaluating clinical skills. We evaluated the impact of Pathways on key outcomes related to these goals. MATERIALS AND METHODS: In this prospective, mixed-methods study, we compared the last prior-curriculum cohort (2014 matriculation, n = 135) and first new-curriculum cohort (2015 matriculation, n = 135). Measures included Likert-type surveys, focus groups, and test scores to assess outcomes. RESULTS: Compared with prior-curriculum students, new-curriculum students reported higher mean preclerkship learning environment ratings (Educational Climate Inventory, 62.4 versus 51.9, p < 0.0001) and greater satisfaction with the quality of their preclerkship education (88% versus 73%, p = 0.0007). Mean USMLE Step-1 and Step-2 scores did not differ between groups. At graduation, new-curriculum students rated their medical school experience higher in 6 of 7 domains, including 'fostering a culture of curiosity and inquiry' (4.3 versus 3.9, p = 0.006) and focus on 'student-centered learning' (3.9 versus 3.4, p = 0.002). CONCLUSIONS: The new curriculum outperformed or was equal to the prior one on most measures of learning environment and perceived quality of education, without a decline in medical knowledge or clinical skills. Robust longitudinal evaluation provided important feedback for ongoing curriculum improvement.

Characteristics of Post-ICU and Post-COVID Recovery Clinics in 29 U.S. Health Systems.

The multifaceted long-term impairments resulting from critical illness and COVID-19 require interdisciplinary management approaches in the recovery phase of illness. Operational insights into the structure and process of recovery clinics (RCs) from heterogeneous health systems are needed. This study describes the structure and process characteristics of existing and newly implemented ICU-RCs and COVID-RCs in a subset of large health systems in the United States. DESIGN: Cross-sectional survey. SETTING: Thirty-nine RCs, representing a combined 156 hospitals within 29 health systems participated. PATIENTS: None. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: RC demographics, referral criteria, and operating characteristics were collected, including measures used to assess physical, psychologic, and cognitive recoveries. Thirty-nine RC surveys were completed (94% response rate). ICU-RC teams included physicians, pharmacists, social workers, physical therapists, and advanced practice providers. Funding sources for ICU-RCs included clinical billing (n = 20, 77%), volunteer staff support (n = 15, 58%), institutional staff/space support (n = 13, 46%), and grant or foundation funding (n = 3, 12%). Forty-six percent of RCs report patient visit durations of 1 hour or longer. ICU-RC teams reported use of validated scales to assess psychologic recovery (93%), physical recovery (89%), and cognitive recovery (86%) more often in standard visits compared with COVID-RC teams (psychologic, 54%; physical, 69%; and cognitive, 46%). CONCLUSIONS: Operating structures of RCs vary, though almost all describe modest capacity and reliance on volunteerism and discretionary institutional support. ICU- and COVID-RCs in the United States employ varied funding sources and endorse different assessment measures during visits to guide care coordination. Common features include integration of ICU clinicians, interdisciplinary approach, and focus on severe critical illness. The heterogeneity in RC structures and processes contributes to future research on the optimal structure and process to achieve the best postintensive care syndrome and postacute sequelae of COVID outcomes.

ATS Core Curriculum 2021. Pediatric Pulmonary Medicine: Pulmonary Infections.

The following is a concise review of the Pediatric Pulmonary Medicine Core reviewing pediatric pulmonary infections, diagnostic assays, and imaging techniques presented at the 2021 American Thoracic Society Core Curriculum. Molecular methods have revolutionized microbiology. We highlight the need to collect appropriate samples for detection of specific pathogens or for panels and understand the limitations of the assays. Considerable progress has been made in imaging modalities for detecting pediatric pulmonary infections. Specifically, lung ultrasound and lung magnetic resonance imaging are promising radiation-free diagnostic tools, with results comparable with their radiation-exposing counterparts, for the evaluation and management of pulmonary infections. Clinicians caring for children with pulmonary disease should ensure that patients at risk for nontuberculous mycobacteria disease are identified and receive appropriate nontuberculous mycobacteria screening, monitoring, and treatment. Children with coronavirus disease (COVID-19) typically present with mild symptoms, but some may develop severe disease. Treatment is mainly supportive care, and most patients make a full recovery. Anticipatory guidance and appropriate counseling from pediatricians on social distancing and diagnostic testing remain vital to curbing the pandemic. The pediatric immunocompromised patient is at risk for invasive and opportunistic pulmonary infections. Prompt recognition of predisposing risk factors, combined with knowledge of clinical characteristics of microbial pathogens, can assist in the diagnosis and treatment of specific bacterial, viral, or fungal diseases.

ATS Core Curriculum 2021. Adult Pulmonary Medicine: Thoracic Oncology.

The American Thoracic Society Core Curriculum updates clinicians annually in adult and pediatric pulmonary disease, medical critical care, and sleep medicine at the annual international conference. The 2021 Pulmonary Core Curriculum focuses on lung cancer and include risks and prevention, screening, nodules, therapeutics and associated pulmonary toxicities, and malignant pleural effusions. Although tobacco smoking remains the primary risk factor for developing lung cancer, exposure to other environmental and occupational substances, including asbestos, radon, and burned biomass, contribute to the global burden of disease. Randomized studies have demonstrated that routine screening of high-risk smokers with low-dose chest computed tomography results in detection at an earlier stage and reduction in lung cancer mortality. On the basis of these trials and other lung cancer risk tools, screening recommendations have been developed. When evaluating lung nodules, clinical and radiographic features are used to estimate the probability of cancer. Management guidelines take into account the nodule size and cancer risk estimates to provide recommendations at evaluation. Newer lung cancer therapies, including immune checkpoint inhibitors and molecular therapies, cause pulmonary toxicity more frequently than conventional chemotherapy. Treatment-related toxicity should be suspected in patients receiving these medications who present with respiratory symptoms. Evaluation is aimed at excluding other etiologies, and treatment is based on the severity of symptoms. Malignant pleural effusions can be debilitating. The diagnosis is made by using simple pleural drainage and/or pleural biopsies. Management depends on the clinical scenario and the patient's preferences and includes the use of serial thoracentesis, a tunneled pleural catheter, or pleurodesis.

ATS Core Curriculum 2021. Adult Sleep Medicine: Sleep Apnea.

The American Thoracic Society Sleep Core Curriculum updates clinicians on important sleep topics, presented during the annual meeting, and appearing in summary here. This year's sleep core theme is sleep-disordered breathing and its management. Topics range from pathophysiological mechanisms for the association of obstructive sleep apnea (OSA) and metabolic syndrome, surgical modalities of OSA treatment, comorbid insomnia and OSA, central sleep apnea, and sleep practices during a pandemic. OSA has been associated with metabolic syndrome, independent of the role of obesity, and the pathophysiology suggests a role for sleep fragmentation and intermittent hypoxia in observed metabolic outcomes. In specific patient populations, surgical treatment modalities for OSA have demonstrated large reductions in objective disease severity compared with no treatment and may facilitate adherence to positive airway pressure treatment. Patient-centered approaches to comorbid insomnia and sleep apnea include evaluating for both OSA and insomnia simultaneously and using shared-decision making to determine the order and timing of positive airway pressure therapy and cognitive behavioral therapy for insomnia. The pathophysiology of central sleep apnea is complex and may be due to the loss of drive to breathe or instability in the regulatory pathways that control ventilation. Pandemic-era sleep practices have evolved rapidly to balance safety and sustainability of care for patients with sleep-disordered breathing.

Variation in COVID-19 disease severity at hospital admission over time and across hospitals: A multi-institution cohort of Michigan hospitals.

ABSTRACT: During the spring 2020 COVID-19 surge, hospitals in Southeast Michigan were overwhelmed, and hospital beds were limited. However, it is unknown whether threshold for hospital admission varied across hospitals or over time.Using a statewide registry, we performed a retrospective cohort study. We identified adult patients hospitalized with COVID-19 in Southeast Michigan (3/1/2020-6/1/2020). We classified disease severity on admission using the World Health Organization (WHO) ordinal scale. Our primary measure of interest was the proportion of patients admitted on room air. We also determined the proportion without acute organ dysfunction on admission or any point during hospitalization. We quantified variation across hospitals and over time by half-month epochs.Among 1315 hospitalizations across 22 hospitals, 57.3% (754/1,315) were admitted on room air, and 26.1% (343/1,315) remained on room air for the duration of hospitalization. Across hospitals, the proportion of COVID-19 hospitalizations admitted on room air varied from 32.3% to 80.0%. Across half-month epochs, the proportion ranged from 49.4% to 69.4% and nadired in early April 2020. Among patients admitted on room air, 75.1% (566/754) had no acute organ dysfunction on admission, and 35.3% (266/754) never developed acute organ dysfunction at any point during hospitalization; there was marked variation in both proportions across hospitals. In-hospital mortality was 13.7% for patients admitted on room air vs 26.3% for patients requiring nasal cannula oxygen.Among patients hospitalized with COVID-19 during the spring 2020 surge in Southeast Michigan, more than half were on room air and a third had no acute organ dysfunction upon admission, but experienced high rates of disease progression and in-hospital mortality.

Impact of Risk and Volume on Procedural Traning of Pulmonary and Critical Care Fellows.

Background: Invasive procedures are a core aspect of pulmonary and critical care practice. Procedures performed in the intensive care unit can be divided into high-risk, low-volume (HRLV) procedures and low-risk, high-volume (LRHV) procedures. HRLV procedures include cricothyroidotomy, pericardiocentesis, Blakemore tube placement, and bronchial blocker placement. LRHV procedures include arterial line placement, central venous catheter placement, thoracentesis, and flexible bronchoscopy. Despite the frequency and importance of procedures in critical care medicine, little is known about the similarities and differences in procedural training between different Pulmonary and Critical Care Medicine (PCCM) and Critical Care Medicine (CCM) training programs. Furthermore, differences in procedural training practices for HRLV and LRHV procedures have not previously been described.Objective: To assess procedural training practices in PCCM and CCM fellowship programs in the United States, and compare differences in training between HRLV and LRHV procedures.Methods: A novel survey instrument was developed and disseminated to PCCM and CCM program directors and associate program directors at PCCM and CCM fellowship programs in the United States to assess procedural teaching practices for HRLV and LRHV procedures.Results: The survey was sent to 221 fellowship programs, 168 PCCM and 34 CCM, with 70 unique respondents (31.7% response rate). Of the procedural educational strategies assessed, each strategy was used significantly more frequently for LRHV versus HRLV procedures. The majority of respondents (51.1%) report having no dedicated training for HRLV procedures versus 6.9% reporting no dedicated training for any LRHV procedure (P < 0.001). For HRLV procedures, 76.9% of respondents indicated that there was no set number of procedures required to determine competency, versus 25.3% for LRHV procedures (P < 0.001). For LRHV procedures, fellows were allowed to perform procedures independently without supervision 21.7% of the time versus 3.9% for HRLV procedures (P = 0.004). Program directors' confidence in their ability to determine fellows' competence in performing procedures was significantly lower for HRLV versus LRHV versus HRLV procedures (P < 0.001).Conclusion: Significant differences exist in procedural training education for PCCM and CCM fellows for LRHV versus HRLV procedures, and awareness of this discrepancy presents an opportunity to address this educational gap in PCCM and CCM fellowship training.

Cohort study of hospitalists' procedural skills: baseline competence and durability after simulation-based training.

OBJECTIVES: Hospitalists are expected to be competent in performing bedside procedures, which are associated with significant morbidity and mortality. A national decline in procedures performed by hospitalists has prompted questions about their procedural competency. Additionally, though simulation-based mastery learning (SBML) has been shown to be effective among trainees whether this approach has enduring benefits for independent practitioners who already have experience is unknown. We aimed to assess the baseline procedural skill of hospitalists already credentialed to perform procedures. We hypothesised that simulation-based training of hospitalists would result in durable skill gains after several months. DESIGN: Prospective cohort study with pretraining and post-training measurements. SETTING: Single, large, urban academic medical centre in the USA. PARTICIPANTS: Twenty-two out of 38 eligible participants defined as hospitalists working on teaching services where they would supervise trainees performing procedures. INTERVENTIONS: One-on-one, 60 min SBML of lumbar puncture (LP) and abdominal paracentesis (AP). PRIMARY AND SECONDARY OUTCOME MEASURES: Our primary outcome was the percentage of hospitalists obtaining minimum passing scores (MPS) on LP and AP checklists; our secondary outcomes were average checklist scores and self-reported confidence. RESULTS: At baseline, only 16% hospitalists met or exceeded the MPS for LP and 32% for AP. Immediately after SBML, 100% of hospitalists reached this threshold. Reassessment an average of 7 months later revealed that only 40% of hospitalists achieved the MPS. Confidence increased initially after training but declined over time. CONCLUSIONS: Hospitalists may be performing invasive bedside procedures without demonstration of adequate skill. A single evidence-based training intervention was insufficient to sustain skills for the majority of hospitalists over a short period of time. More stringent practices for certifying hospitalists who perform risky procedures are warranted, as well as mechanisms to support skill maintenance, such as periodic simulation-based training and assessment.

Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical illness syndrome associated with high mortality. An important factor in its under-recognition is the variability in chest radiograph interpretation for ARDS. We sought to train a deep convolutional neural network (CNN) to detect ARDS findings on chest radiographs. METHODS: CNNs were pretrained on 595 506 radiographs from two centres to identify common chest findings (eg, opacity and effusion), and then trained on 8072 radiographs annotated for ARDS by multiple physicians using various transfer learning approaches. The best performing CNN was tested on chest radiographs in an internal and external cohort, including a subset reviewed by six physicians, including a chest radiologist and physicians trained in intensive care medicine. Chest radiograph data were acquired from four US hospitals. FINDINGS: In an internal test set of 1560 chest radiographs from 455 patients with acute hypoxaemic respiratory failure, a CNN could detect ARDS with an area under the receiver operator characteristics curve (AUROC) of 0·92 (95% CI 0·89-0·94). In the subgroup of 413 images reviewed by at least six physicians, its AUROC was 0·93 (95% CI 0·88-0·96), sensitivity 83·0% (95% CI 74·0-91·1), and specificity 88·3% (95% CI 83·1-92·8). Among images with zero of six ARDS annotations (n=155), the median CNN probability was 11%, with six (4%) assigned a probability above 50%. Among images with six of six ARDS annotations (n=27), the median CNN probability was 91%, with two (7%) assigned a probability below 50%. In an external cohort of 958 chest radiographs from 431 patients with sepsis, the AUROC was 0·88 (95% CI 0·85-0·91). When radiographs annotated as equivocal were excluded, the AUROC was 0·93 (0·92-0·95). INTERPRETATION: A CNN can be trained to achieve expert physician-level performance in ARDS detection on chest radiographs. Further research is needed to evaluate the use of these algorithms to support real-time identification of ARDS patients to ensure fidelity with evidence-based care or to support ongoing ARDS research. FUNDING: National Institutes of Health, Department of Defense, and Department of Veterans Affairs.

Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods.

BACKGROUND: COVID-19 has led to an unprecedented strain on health care facilities across the United States. Accurately identifying patients at an increased risk of deterioration may help hospitals manage their resources while improving the quality of patient care. Here, we present the results of an analytical model, Predicting Intensive Care Transfers and Other Unforeseen Events (PICTURE), to identify patients at high risk for imminent intensive care unit transfer, respiratory failure, or death, with the intention to improve the prediction of deterioration due to COVID-19. OBJECTIVE: This study aims to validate the PICTURE model's ability to predict unexpected deterioration in general ward and COVID-19 patients, and to compare its performance with the Epic Deterioration Index (EDI), an existing model that has recently been assessed for use in patients with COVID-19. METHODS: The PICTURE model was trained and validated on a cohort of hospitalized non-COVID-19 patients using electronic health record data from 2014 to 2018. It was then applied to two holdout test sets: non-COVID-19 patients from 2019 and patients testing positive for COVID-19 in 2020. PICTURE results were aligned to EDI and NEWS scores for head-to-head comparison via area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve. We compared the models' ability to predict an adverse event (defined as intensive care unit transfer, mechanical ventilation use, or death). Shapley values were used to provide explanations for PICTURE predictions. RESULTS: In non-COVID-19 general ward patients, PICTURE achieved an AUROC of 0.819 (95% CI 0.805-0.834) per observation, compared to the EDI's AUROC of 0.763 (95% CI 0.746-0.781; n=21,740; P<.001). In patients testing positive for COVID-19, PICTURE again outperformed the EDI with an AUROC of 0.849 (95% CI 0.820-0.878) compared to the EDI's AUROC of 0.803 (95% CI 0.772-0.838; n=607; P<.001). The most important variables influencing PICTURE predictions in the COVID-19 cohort were a rapid respiratory rate, a high level of oxygen support, low oxygen saturation, and impaired mental status (Glasgow Coma Scale). CONCLUSIONS: The PICTURE model is more accurate in predicting adverse patient outcomes for both general ward patients and COVID-19 positive patients in our cohorts compared to the EDI. The ability to consistently anticipate these events may be especially valuable when considering potential incipient waves of COVID-19 infections. The generalizability of the model will require testing in other health care systems for validation.

Comparing Clinical Features and Outcomes in Mechanically Ventilated Patients with COVID-19 and Acute Respiratory Distress Syndrome.

Rationale: Patients with severe coronavirus disease (COVID-19) meet clinical criteria for the acute respiratory distress syndrome (ARDS), yet early reports suggested they differ physiologically and clinically from patients with non-COVID-19 ARDS, prompting treatment recommendations that deviate from standard evidence-based practices for ARDS. Objectives: To compare respiratory physiology, clinical outcomes, and extrapulmonary clinical features of severe COVID-19 with non-COVID-19 ARDS. Methods: We performed a retrospective cohort study, comparing 130 consecutive mechanically ventilated patients with severe COVID-19 with 382 consecutive mechanically ventilated patients with non-COVID-19 ARDS. Initial respiratory physiology and 28-day outcomes were compared. Extrapulmonary manifestations (inflammation, extrapulmonary organ injury, and coagulation) were compared in an exploratory analysis. Results: Comparison of patients with COVID-19 and non-COVID-19 ARDS suggested small differences in respiratory compliance, ventilatory efficiency, and oxygenation. The 28-day mortality was 30% in patients with COVID-19 and 38% in patients with non-COVID-19 ARDS. In adjusted analysis, point estimates of differences in time to breathing unassisted at 28 days (adjusted subdistributional hazards ratio, 0.98 [95% confidence interval (CI), 0.77-1.26]) and 28-day mortality (risk ratio, 1.01 [95% CI, 0.72-1.42]) were small for COVID-19 versus non-COVID-19 ARDS, although the confidence intervals for these estimates include moderate differences. Patients with COVID-19 had lower neutrophil counts but did not differ in lymphocyte count or other measures of systemic inflammation. Conclusions: In this single-center cohort, we found no evidence for large differences between COVID-19 and non-COVID-19 ARDS. Many key clinical features of severe COVID-19 were similar to those of non-COVID-19 ARDS, including respiratory physiology and clinical outcomes, although our sample size precludes definitive conclusions. Further studies are needed to define COVID-19-specific pathophysiology before a deviation from evidence-based treatment practices can be recommended.