Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation

Background. There are modes of mechanical ventilation that can select ventilator settings with computer controlled algorithms (targeting schemes). Two examples are adaptive support ventilation (ASV) and mid-frequency ventilation (MFV). We studied how different clinician-chosen ventilator settings are from these computer algorithms under different scenarios. Methods. A survey of critical care clinicians provided reference ventilator settings for a 70 kg paralyzed patient in five clinical/physiological scenarios. The survey-derived values for minute ventilation and minute alveolar ventilation were used as goals for ASV and MFV, respectively. A lung simulator programmed with each scenario’s respiratory system characteristics was ventilated using the clinician, ASV, and MFV settings. Results. Tidal volumes ranged from 6.1 to 8.3 mL/kg for the clinician, 6.7 to 11.9 mL/kg for ASV, and 3.5 to 9.9 mL/kg for MFV. Inspiratory pressures were lower for ASV and MFV. Clinician-selected tidal volumes were similar to the ASV settings for all scenarios except for asthma, in which the tidal volumes were larger for ASV and MFV. MFV delivered the same alveolar minute ventilation with higher end expiratory and lower end inspiratory volumes. Conclusions. There are differences and similarities among initial ventilator settings selected by humans and computers for various clinical scenarios. The ventilation outcomes are the result of the lung physiological characteristics and their interaction with the targeting scheme

24/7 in-house intensivist coverage and fellowship education: a cross-sectional survey of academic medical centers in the United States

Objectives: The objectives of this study were to determine the current staffing models of practice and the frequency of 24/7 coverage in academic medical centers in the United States and to assess the perceptions of critical care trainees and program directors toward these models. Methods: A cross-sectional national survey was conducted using an Internet-based survey platform. The survey was distributed to fellows and program directors of 374 critical care training programs in US academic medical centers. Results: We received 518 responses: 138 from program directors (PDs) (37% of 374 programs) and 380 fellow responses. Coverage by a board-certified or board-eligible intensivist physician 24/7 was reported by 33% of PD respondents and was more common among pediatric and surgical critical care programs. Mandatory in-house call for critical care trainees was reported by 48% of the PDs. Mandatory call was also more common among pediatric-critical care programs compared with the rest (P \u3c .001). Advanced nurse practitioners with critical care training were reported available by 27% of the PDs. The majority of respondents believed that 24/7 coverage would be associated with better patient care in the ICU and improved education for the fellows, although 65% of them believed this model would have a negative impact on trainees’ autonomy. Conclusions: Intensivist coverage 24/7 was not commonly used in US academic centers responding to our survey. Significant differences in coverage models among critical care medicine specialties appear to exist. Program director and trainee respondents believed that 24/7 coverage was associated with better outcomes and education but also expressed concerns about the impact of this model on fellows’ autonomy

Cystic fibrosis patients with and without central nervous system complications following lung transplantation

http://deepblue.lib.umich.edu/bitstream/2027.42/192027/2/Cystic fibrosis patients with and without central nervous system complications following lung transplantation.pdfPublished versionDescription of Cystic fibrosis patients with and without central nervous system complications following lung transplantation.pdf : Published versio

Post-acute sequelae of COVID-19 in adults referred to COVID recovery clinic services in an integrated health system in Texas

The epidemiology and organ-specific sequelae following acute illness due to COVID-19 and prompting patients to seek COVID recovery care are not yet well characterized. This cross-sectional study reviewed data on 200 adult patients with prolonged symptoms of COVID-19 (>14 days after symptom onset) not resolved by usual primary care or specialist care who were referred for COVID-specific follow-up. Most patients sought COVID recovery clinic visits within the first 2 months of initial onset of symptoms (median 37 days), with some seeking care for sequelae persisting up to 10 months (median 82 days). At the time of telehealth evaluation, 13% of patients were using home oxygen, and 10% of patients had been unable to return to work due to persistent fatigue and/or subjective cognitive dysfunction ("brain fog"). The prominent specific symptom sequelae prompting patients to seek COVID-specific evaluation beyond usual primary care and specialist referrals were dyspnea, fatigue/weakness, and subjective cognitive dysfunction, irrespective of whether patients had required hospitalization or time since COVID-19 symptom onset

Symptom Clusters Seen in Adult COVID-19 Recovery Clinic Care Seekers

BackgroundCOVID-19 symptom reports describe varying levels of disease severity with differing periods of recovery and symptom trajectories. Thus, there are a multitude of disease and symptom characteristics clinicians must navigate and interpret to guide care.ObjectiveTo find natural groups of patients with similar constellations of post-acute sequelae of COVID-19 (PASC) symptoms.DesignCohort SETTING: Outpatient COVID-19 recovery clinic with patient referrals from 160 primary care clinics serving 36 counties in Texas.PatientsAdult patients seeking COVID-19 recovery clinic care between November 15, 2020, and July 31, 2021, with laboratory-confirmed mild (not hospitalized), moderate (hospitalized), or severe (hospitalized with critical care) COVID-19.Main measuresDemographics, COVID illness onset, and duration of persistent PASC symptoms via semi-structured medical assessments.Key resultsFour hundred forty-one patients (mean age 51.5 years; 295 [66.9%] women; 99 [22%] Hispanic, and 170 [38.5%] non-White, racial minority) met inclusion criteria. Using a k-medoids algorithm, we found that PASC symptoms cluster into two distinct groups: neuropsychiatric (N = 186) (e.g., subjective cognitive dysfunction) and pulmonary (N = 255) (e.g., dyspnea, cough). The neuropsychiatric cluster had significantly higher incidences of otolaryngologic (X2 = 14.3, p < 0.001), gastrointestinal (X2 = 6.90, p = 0.009), neurologic (X2 = 441, p < 0.001), and psychiatric sequelae (X2 = 40.6, p < 0.001) with more female (X2 = 5.44, p = 0.020) and younger age (t = 2.39, p = 0.017) patients experiencing longer durations of PASC symptoms before seeking care (t = 2.44, p = 0.015). Patients in the pulmonary cluster were more often hospitalized for COVID-19 (X2 = 3.98, p = 0.046) and had significantly higher comorbidity burden (U = 20800, p = 0.019) and pulmonary sequelae (X2 = 13.2, p < 0.001).ConclusionsHealth services clinic data from a large integrated health system offers insights into the post-COVID symptoms associated with care seeking for sequelae that are not adequately managed by usual care pathways (self-management and primary care clinic visits). These findings can inform machine learning algorithms, primary care management, and selection of patients for earlier COVID-19 recovery referral.Trial registrationN/A