Factors influencing diagnostic accuracy among intensive care unit clinicians - an observational study.

OBJECTIVES: Diagnostic errors are a source of morbidity and mortality in intensive care unit (ICU) patients. However, contextual factors influencing clinicians' diagnostic performance have not been studied in authentic ICU settings. We sought to determine the accuracy of ICU clinicians' diagnostic impressions and to characterize how various contextual factors, including self-reported stress levels and perceptions about the patient's prognosis and complexity, impact diagnostic accuracy. We also explored diagnostic calibration, i.e. the balance of accuracy and confidence, among ICU clinicians. METHODS: We conducted an observational cohort study in an academic medical ICU. Between June and August 2019, we interviewed ICU clinicians during routine care about their patients' diagnoses, their confidence, and other contextual factors. Subsequently, using adjudicated final diagnoses as the reference standard, two investigators independently rated clinicians' diagnostic accuracy and on each patient on a given day ("patient-day") using 5-point Likert scales. We conducted analyses using both restrictive and conservative definitions of clinicians' accuracy based on the two reviewers' ratings of accuracy. RESULTS: We reviewed clinicians' responses for 464 unique patient-days, which included 255 total patients. Attending physicians had the greatest diagnostic accuracy (77-90 %, rated as three or higher on 5-point Likert scale) followed by the team's primary fellow (73-88 %). Attending physician and fellows were also least affected by contextual factors. Diagnostic calibration was greatest among ICU fellows. CONCLUSIONS: Additional studies are needed to better understand how contextual factors influence different clinicians' diagnostic reasoning in the ICU.

Validation of automated data abstraction for SCCM discovery VIRUS COVID-19 registry: practical EHR export pathways (VIRUS-PEEP).

Background: The gold standard for gathering data from electronic health records (EHR) has been manual data extraction; however, this requires vast resources and personnel. Automation of this process reduces resource burdens and expands research opportunities. Objective: This study aimed to determine the feasibility and reliability of automated data extraction in a large registry of adult COVID-19 patients. Materials and methods: This observational study included data from sites participating in the SCCM Discovery VIRUS COVID-19 registry. Important demographic, comorbidity, and outcome variables were chosen for manual and automated extraction for the feasibility dataset. We quantified the degree of agreement with Cohen's kappa statistics for categorical variables. The sensitivity and specificity were also assessed. Correlations for continuous variables were assessed with Pearson's correlation coefficient and Bland-Altman plots. The strength of agreement was defined as almost perfect (0.81-1.00), substantial (0.61-0.80), and moderate (0.41-0.60) based on kappa statistics. Pearson correlations were classified as trivial (0.00-0.30), low (0.30-0.50), moderate (0.50-0.70), high (0.70-0.90), and extremely high (0.90-1.00). Measurements and main results: The cohort included 652 patients from 11 sites. The agreement between manual and automated extraction for categorical variables was almost perfect in 13 (72.2%) variables (Race, Ethnicity, Sex, Coronary Artery Disease, Hypertension, Congestive Heart Failure, Asthma, Diabetes Mellitus, ICU admission rate, IMV rate, HFNC rate, ICU and Hospital Discharge Status), and substantial in five (27.8%) (COPD, CKD, Dyslipidemia/Hyperlipidemia, NIMV, and ECMO rate). The correlations were extremely high in three (42.9%) variables (age, weight, and hospital LOS) and high in four (57.1%) of the continuous variables (Height, Days to ICU admission, ICU LOS, and IMV days). The average sensitivity and specificity for the categorical data were 90.7 and 96.9%. Conclusion and relevance: Our study confirms the feasibility and validity of an automated process to gather data from the EHR.

Effect of Implementing a Commercial Electronic Early Warning System on Outcomes of Hospitalized Patients.

Despite the widespread adoption of early warning systems (EWSs), it is uncertain if their implementation improves patient outcomes. The authors report a pre-post quasi-experimental evaluation of a commercially available EWS on patient outcomes at a 700-bed academic medical center. The EWS risk scores were visible in the electronic medical record by bedside clinicians. The EWS risk scores were also monitored remotely 24/7 by critical care trained nurses who actively contacted bedside nurses when a patient's risk levels increased. The primary outcome was inpatient mortality. Secondary outcomes were rapid response team calls and activation of cardiopulmonary arrest (code-4) response teams. The study team conducted a regression discontinuity analysis adjusting for age, gender, insurance, severity of illness, risk of mortality, and hospital occupancy at admission. The analysis included 53,229 hospitalizations. Adjusted analysis showed no significant change in inpatient mortality, rapid response team call, or code-4 activations after implementing the EWS. This study confirms the continued uncertainty in the effectiveness of EWSs and the need for further rigorous examinations of EWSs.

Diagnostic Yield of Combined Lumbar Puncture and Brain MRI in Critically Ill Patients With Unexplained Acute Encephalopathy: A Retrospective Cohort Study.

Critically ill patients frequently experience acute encephalopathy, often colloquially termed "altered mental status" (AMS); however, there are no consensus guidelines or criteria about performing lumbar puncture (LP) and advanced neuroimaging in medical ICU patients with unexplained encephalopathy. OBJECTIVES: We sought to characterize the yield of combined LP and brain MRI (bMRI) in such patients as determined by both the frequency of abnormal results and the therapeutic efficacy of these investigations, that is, how often results changed management. DESIGN SETTING AND PARTICIPANTS: Retrospective cohort study of medical ICU patients admitted to a tertiary academic center between 2012 and 2018 who had documented diagnoses of "AMS" and/or synonymous terms, no clear etiology of encephalopathy, and had undergone both LP and bMRI. MAIN OUTCOMES AND MEASURES: The primary outcome was the frequency of abnormal diagnostic testing results determined objectively for LP using cerebrospinal fluid (CSF) findings and subjectively for bMRI through team agreement on imaging findings deemed significant through retrospective chart review. We subjectively determined the frequency of therapeutic efficacy. Finally, we analyzed the effect of other clinical variables on the likelihood of discovering abnormal CSF and bMRI findings through chi-square tests and multivariate logistic regression. RESULTS: One hundred four patients met inclusion criteria. Fifty patients (48.1%) had an abnormal CSF profile or definitive microbiological or cytological data by LP, 44 patients (42.3%) had bMRI with significant abnormal findings, and 74 patients (71.2%) had abnormal results on at least one of these investigations. Few clinical variables were associated with the abnormal findings in either investigation. We judged 24.0% (25/104) of bMRI and 26.0% (27/104) of LPs to have therapeutic efficacy with moderate interobserver reliability. CONCLUSIONS: Determining when to perform combined LP and bMRI in ICU patients with unexplained acute encephalopathy must rely on clinical judgment. These investigations have a reasonable yield in this selected population.

Patent Foramen Ovale and Ascending Aortic Dilatation Causing Platypnea-Orthodeoxia Syndrome.

Platypnea-orthodeoxia syndrome (POS) is an underdiagnosed clinical syndrome characterized by dyspnea (platypnea) and hypoxemia (orthodeoxia) in the upright position that resolves when recumbent. POS is often due to an underlying right-to-left shunt. Four broad mechanisms for the shunt have been described: intracardiac shunts, intrapulmonary shunts, hepatopulmonary syndrome, and pulmonary ventilation-perfusion mismatch. A 68-year-old male with a past medical history of chronic obstructive pulmonary disease (COPD), obstructive sleep apnea, ascending aortic dilation (3.9 cm), myelofibrosis, and status post stem cell transplant complicated by graft versus host disease was found hypoxemic (oxygen saturation: 82%) on routine visit prompting hospitalization. Hypoxemia initially responded to 40% FiO2 but subsequently progressed to refractory hypoxemia on 100% FiO2. A chest computed tomography (CT) scan showed evidence of multiple segmental pulmonary emboli with patent central pulmonary arteries. Hypoxemia out of proportion to pulmonary embolism clot burden and examination findings consistent with orthodeoxia prompted further investigations. Nuclear medicine scan showed radiotracer activity in both brain and kidneys consistent with a small right-to-left shunt (5.9%). Transesophageal echocardiography (TEE) revealed a patent foramen ovale (PFO) with a right-to-left shunt across the atrial septum, with a maximum opening of 3.5 mm and tunnel length of 25 mm. Right heart catheterization (RHC) is consistent with the right-to-left shunt and normal right heart pressures. The degree of the shunt was not significant enough to explain the degree of hypoxemia, but all the diagnostic studies were performed in a supine position, possibly underestimating the degree of the shunt. PFO closure with transcatheter 30-mm Gore device (GORE® CARDIOFORM, Arizona, USA) decreased supplemental oxygen requirement from 75% high-flow nasal cannula (NC) to room air (RA) immediately after the procedure. The patient was subsequently discharged home on a baseline oxygen requirement of 2 L NC at nighttime. POS should be suspected when a patient develops severe hypoxemia after changing from a recumbent position to a sitting or standing position. The identification and correction of the shunting or mismatch often allow complete resolution of POS. Transthoracic echocardiography with agitated saline, TEE, and RHC are the diagnosis modalities of choice. Left heart cardiac catheterization remains the gold standard, which would demonstrate a mismatch in oxygen saturation between the pulmonary vein and the aorta. Our patient's PFO was successfully closed by a percutaneous transcatheter closure device leading to the complete resolution of hypoxemia immediately.

Enhancing Analytical Reasoning in the Intensive Care Unit.

Clinical reasoning is prone to errors in judgment. Error is comprised of 2 components-bias and noise; each has an equally important role in the promulgation of error. Biases or systematic errors in reasoning are the product of misconceptions of probability and statistics. Biases arise because clinicians frequently rely on mental shortcuts or heuristics to make judgments. The most frequently used heuristics are representativeness, availability, and anchoring/adjustment which lead to the common biases of base rate neglect, misconceptions of regression, insensitivities to sample size, and fallacies of conjunctive, and disjunctive events. Bayesian reasoning is the framework within which posterior probabilities of events is identified. Familiarity with these mathematical concepts will likely enhance clinical reasoning. Noise is defined as inter or intraobserver variability in judgment that should be identical. Guidelines in medicine are a technique to reduce noise.

Extracorporeal Membrane Oxygenation with Right Ventricular Assist Device for COVID-19 ARDS.

BACKGROUND: Right ventricular failure is an underrecognized consequence of COVID-19 pneumonia. Those with severe disease are treated with extracorporeal membrane oxygenation (ECMO) but with poor outcomes. Concomitant right ventricular assist device (RVAD) may be beneficial. METHODS: A retrospective analysis of intensive care unit patients admitted with COVID-19 ARDS (Acute Respiratory Distress Syndrome) was performed. Nonintubated patients, those with acute kidney injury, and age > 75 were excluded. Patients who underwent RVAD/ECMO support were compared with those managed via invasive mechanical ventilation (IMV) alone. The primary outcome was in-hospital mortality. Secondary outcomes included 30-d mortality, acute kidney injury, length of ICU stay, and duration of mechanical ventilation. RESULTS: A total of 145 patients were admitted to the ICU with COVID-19. Thirty-nine patients met inclusion criteria. Of these, 21 received IMV, and 18 received RVAD/ECMO. In-hospital (52.4 versus 11.1%, P = 0.008) and 30-d mortality (42.9 versus 5.6%, P= 0.011) were significantly lower in patients treated with RVAD/ECMO. Acute kidney injury occurred in 15 (71.4%) patients in the IMV group and zero RVAD/ECMO patients (P< 0.001). ICU (11.5 versus 21 d, P= 0.067) and hospital (14 versus 25.5 d, P = 0.054) length of stay were not significantly different. There were no RVAD/ECMO device complications. The duration of mechanical ventilation was not significantly different (10 versus 5 d, P = 0.44). CONCLUSIONS: RVAD support at the time of ECMO initiation resulted in the no secondary end-organ damage and higher in-hospital and 30-d survival versus IMV in specially selected patients with severe COVID-19 ARDS. Management of severe COVID-19 ARDS should prioritize right ventricular support.

Impact of Fellows-as-Teachers Workshops on Teaching Rounds: An Observational Study in an ICU.

During training, fellows serve as teachers and role models for junior colleagues. Fellows-as-teachers curricula may support these roles, but little is known about their effectiveness and durability. We sought to measure the long-term effects on ICU rounds after administering fellows-as-teachers workshops. DESIGN: Prospective pre-/postintervention observational study of ICU rounds. SETTING: Tertiary-care medical ICU with both pulmonary critical care and critical care medicine fellowships. SUBJECTS: ICU teaching teams. INTERVENTIONS: Fellows attended immersive workshops on promoting clinical reasoning, managing the learning environment, teaching bedside skills, and developing situational awareness on ICU rounds. After the workshops, faculty physicians were encouraged to have fellows routinely lead afternoon rounds. MEASUREMENTS AND MAIN RESULTS: We gathered data from direct observations of ICU rounding activities, residents' evaluations of rounds from surveys, and faculty physicians' written comments on fellows' performance in the ICU from end-of-rotation evaluations. Data were analyzed using descriptive statistics, nonparametric comparative tests, and chi-square tests for categorical data. A total of 61 ICU rounding sessions were observed with 501 discrete provider-patient interactions. Survey responses were collected from a total of 53 residents preintervention and 34 residents postintervention. We reviewed 72 open-ended faculty comments on fellows' end-of-rotation evaluations, with 22 occurring postintervention. During the postintervention period, fellows were significantly more likely to make clinical decisions, explain their reasoning, provide teaching points, and ask questions on rounds. Additionally, we observed significantly higher quality written feedback on end-of-rotation evaluations by faculty physicians. However, residents generally harbored neutral or negative perceptions about the educational value of fellow-led rounds postintervention. CONCLUSIONS: Fellows' contributions to patient care and teaching on ICU rounds increased for several months after our fellows-as-teachers workshops. Despite limitations and contamination in our design, our data suggest that similarly designed curricula may promote fellow engagement, possibly at the expense of residents' education.

Frequency, Risk Factors, Causes, and Consequences of Diagnostic Errors in Critically Ill Medical Patients: A Retrospective Cohort Study.

OBJECTIVE: Diagnostic errors are a source of significant morbidity and mortality but understudied in the critically ill. We sought to characterize the frequency, causes, consequences, and risk factors of diagnostic errors among unplanned ICU admissions. DESIGN: We conducted a retrospective cohort study of randomly selected nonsurgical ICU admissions between July 2015 and June 2016. SETTING: Medical ICU at a tertiary academic medical center. SUBJECTS: Critically ill adults with unplanned admission to the medical ICU. MEASUREMENTS AND MAIN RESULTS: The primary investigator reviewed patient records using a modified version of the Safer Dx instrument, a validated instrument for detecting diagnostic error. Two intensivists performed secondary reviews of possible errors, and reviewers met periodically to adjudicate errors by consensus. For each confirmed error, we judged harm on a 1-6 rating scale. We also collected detailed demographic and clinical data for each patient. We analyzed 256 unplanned ICU admissions and identified 18 diagnostic errors (7% of admissions). All errors were associated with harm, and only six errors (33%) were recognized by the ICU team within the first 24 hours. More women than men experienced a diagnostic error (11.7% vs 2.7%; p = 0.015, χ test). On multivariable logistic regression analysis, female sex remained independently associated with risk of diagnostic error both at admission (odds ratio, 5.18; 95% CI, 1.34-20.08) and at 24 hours (odds ratio, 11.6; 95% CI, 1.37-98.6). Similarly, Quick Sequential Organ Failure Assessment score greater than or equal to 2 at admission was independently associated with diagnostic error (odds ratio, 5.73; 95% CI, 1.72-19.01). CONCLUSIONS: Diagnostic errors may be an underappreciated source of ICU-related harm. Women and higher acuity patients appear to be at increased risk for such errors. Further research is merited to define the scope of error-associated harm and to clarify risk factors for diagnostic errors among the critically ill.

Recent advances in understanding and treating acute respiratory distress syndrome.

Acute respiratory distress syndrome (ARDS) is a clinically and biologically heterogeneous disorder associated with many disease processes that injure the lung, culminating in increased non-hydrostatic extravascular lung water, reduced compliance, and severe hypoxemia. Despite enhanced understanding of molecular mechanisms, advances in ventilatory strategies, and general care of the critically ill patient, mortality remains unacceptably high. The Berlin definition of ARDS has now replaced the American-European Consensus Conference definition. The recently concluded Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure (LUNG-SAFE) provided worldwide epidemiological data of ARDS including prevalence, geographic variability, mortality, and patterns of mechanical ventilation use. Failure of clinical therapeutic trials prompted the investigation and subsequent discovery of two distinct phenotypes of ARDS (hyper-inflammatory and hypo-inflammatory) that have different biomarker profiles and clinical courses and respond differently to the random application of positive end expiratory pressure (PEEP) and fluid management strategies. Low tidal volume ventilation remains the predominant mainstay of the ventilatory strategy in ARDS. High-frequency oscillatory ventilation, application of recruitment maneuvers, higher PEEP, extracorporeal membrane oxygenation, and alternate modes of mechanical ventilation have failed to show benefit. Similarly, most pharmacological therapies including keratinocyte growth factor, beta-2 agonists, and aspirin did not improve outcomes. Prone positioning and early neuromuscular blockade have demonstrated mortality benefit, and clinical guidelines now recommend their use. Current ongoing trials include the use of mesenchymal stem cells, vitamin C, re-evaluation of neuromuscular blockade, and extracorporeal carbon dioxide removal. In this article, we describe advances in the diagnosis, epidemiology, and treatment of ARDS over the past decade.

Culture-Negative Severe Sepsis: Nationwide Trends and Outcomes.

BACKGROUND: Although 28% to 49% of severe sepsis hospitalizations have been described as being "culture negative," there are very limited data on the epidemiology and outcomes of those with culture-negative severe sepsis (CNSS). The objectives of this study were to investigate the proportion and trends of CNSS and its association with mortality. METHODS: Using the Nationwide Inpatient Sample (NIS) database from 2000 to 2010, we identified adults hospitalized with severe sepsis. Those without any specific organism codes were identified as "with CNSS." We examined the proportion of CNSS hospitalizations and rates of mortality associated with it. We also assessed the independent effect of CNSS on mortality. RESULTS: Of 6,843,279 admissions of patients with severe sepsis, 3,226,406 (47.1%) had culture-negative results. The age-adjusted proportion of CNSS increased from 33.9% in 2000 to 43.5% in 2010 (P < .001). Those with CNSS had more comorbidities, acute organ dysfunction (respiratory, cardiac, hepatic, and renal dysfunction), and in-hospital mortality (34.6% vs 22.7%; P < .001), although acute kidney injury requiring dialysis was less frequent (5.3% vs 6.1%; P < .001). CNSS was an independent predictor of mortality in those with severe sepsis (OR, 1.75; 95% CI, 1.72-1.77). CONCLUSIONS: CNSS among hospitalized patients is common, and its proportion is on the rise. CNSS is associated with greater acute organ dysfunction and mortality. Having CNSS is an independent predictor of death.

Infections in Liver Disease.

Infectious complications are common occurrences in end-stage liver disease (ESLD). Frequent infections precipitate decompensation of liver disease leading to acute or chronic liver failure, organ dysfunction, de-listing from transplant, and major morbidity and mortality. The spectrum of microorganisms has shifted with the emergence of multidrug-resistant strains, which has major implications for both therapy and prophylaxis. Cirrhosis is often associated with an underlying noninfectious systemic inflammatory state that makes diagnosis of infections particularly challenging. Adequate resuscitation and timely administration of appropriate antibiotics are pivotal to improved outcomes from infections in ESLD.