Exploring Ward Team Handoffs of Overnight Admissions: Key Lessons from Field Observations.

BACKGROUND: The diagnostic process is a dynamic, team-based activity that is an important aspect of ward rounds in teaching hospitals. However, few studies have examined how academic ward teams operate in areas such as diagnosis in the handoff of overnight admissions during ward rounds. This study draws key lessons from team interactions in the handoff process during ward rounds. OBJECTIVE: To describe how ward teams operate in the handoff of patients admitted overnight during ward rounds, and to characterize the role of the bedside patient evaluation in this context. DESIGN: A qualitative ethnographic approach using field observations and documentary analysis. PARTICIPANTS: Attending physicians, medical residents, and medical students on general medicine services in a single teaching hospital. APPROACH: Thirty-five hours of observations were undertaken over a 4-month period. We purposively approached a diverse group of attendings who cover a range of clinical teaching experience, and obtained informed consent from all ward team members and observed patients. Thirty patient handoffs were observed across 5 ward teams with 45 team members. We conducted thematic analysis of researcher field notes and electronic health record documents using social cognitive theories to characterize the dynamic interactions occurring in the real clinical environment. KEY RESULTS: Teams spent less time during ward rounds on verifying history and physical examination findings, performing bedside evaluations, and discussing differential diagnoses than other aspects (e.g., reviewing patient data in conference rooms) in the team handoff process of overnight admissions. Several team-based approaches to diagnosis and bedside patient evaluations were observed, including debriefing for learning and decision-making. CONCLUSIONS: This study highlights potential strengths and missed opportunities for teaching, learning, and engaging directly with patients in the ward team handoff of patients admitted overnight. These findings may inform curriculum development, faculty training, and patient safety research.

Towards diagnostic excellence on academic ward teams: building a conceptual model of team dynamics in the diagnostic process.

OBJECTIVES: Achieving diagnostic excellence on medical wards requires teamwork and effective team dynamics. However, the study of ward team dynamics in teaching hospitals is relatively underdeveloped. We aim to enhance understanding of how ward team members interact in the diagnostic process and of the underlying behavioral, psychological, and cognitive mechanisms driving team interactions. METHODS: We used mixed-methods to develop and refine a conceptual model of how ward team dynamics in an academic medical center influence the diagnostic process. First, we systematically searched existing literature for conceptual models and empirical studies of team dynamics. Then, we conducted field observations with thematic analysis to refine our model. RESULTS: We present a conceptual model of how medical ward team dynamics influence the diagnostic process, which serves as a roadmap for future research and interventions in this area. We identified three underexplored areas of team dynamics that are relevant to diagnostic excellence and that merit future investigation (1): ward team structures (e.g., team roles, responsibilities) (2); contextual factors (e.g., time constraints, location of team members, culture, diversity); and (3) emergent states (shared mental models, psychological safety, team trust, and team emotions). CONCLUSIONS: Optimizing the diagnostic process to achieve diagnostic excellence is likely to depend on addressing all of the potential barriers and facilitators to ward team dynamics presented in our model.

How team clinical reasoning occurs on ward rounds: Implications for learning.

BACKGROUND: Ward rounds offer a rich environment for learning about team clinical reasoning. We aimed to assess how team clinical reasoning occurs on ward rounds to inform efforts to enhance the teaching of clinical reasoning. METHODS: We performed focused ethnography of ward rounds over a 6-week period, during which we observed five different teams. Each day team comprised one senior physician, one senior resident, one junior resident, two interns and one medical student. Twelve 'night-float' residents who discussed new patients with the day team were also included. Field notes were analysed using content analysis. FINDINGS: We analysed 41 new patient presentations and discussions on 23 different ward rounds. The median duration of case presentations and discussions was 13.0 minutes (IQR, 10.0-18.0 minutes). More time was devoted to information sharing (median 5.5 minutes; IQR, 4.0-7.0 minutes) than any other activity, followed by discussion of management plans (median 4.0 minutes; IQR, 3.0-7.8 minutes). Nineteen (46%) cases did not include discussion of a differential diagnosis for the chief concern. We identified two themes relevant to learning: (1) linear versus iterative approaches to team-based diagnosis and (2) the influence of hierarchy on participation in clinical reasoning discussions. CONCLUSION: The ward teams we observed spent far less time discussing differential diagnoses compared with information sharing. Junior learners such as medical students and interns contributed less frequently to team clinical reasoning discussions. In order to maximise student learning, strategies to engage junior learners in team clinical reasoning discussions on ward rounds may be needed.

Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19.

BACKGROUND: The COVID-19 pandemic required clinicians to care for a disease with evolving characteristics while also adhering to care changes (e.g., physical distancing practices) that might lead to diagnostic errors (DEs). OBJECTIVE: To determine the frequency of DEs and their causes among patients hospitalized under investigation (PUI) for COVID-19. DESIGN: Retrospective cohort. SETTING: Eight medical centers affiliated with the Hospital Medicine ReEngineering Network (HOMERuN). TARGET POPULATION: Adults hospitalized under investigation (PUI) for COVID-19 infection between February and July 2020. MEASUREMENTS: We randomly selected up to 8 cases per site per month for review, with each case reviewed by two clinicians to determine whether a DE (defined as a missed or delayed diagnosis) occurred, and whether any diagnostic process faults took place. We used bivariable statistics to compare patients with and without DE and multivariable models to determine which process faults or patient factors were associated with DEs. RESULTS: Two hundred and fifty-seven patient charts underwent review, of which 36 (14%) had a diagnostic error. Patients with and without DE were statistically similar in terms of socioeconomic factors, comorbidities, risk factors for COVID-19, and COVID-19 test turnaround time and eventual positivity. Most common diagnostic process faults contributing to DE were problems with clinical assessment, testing choices, history taking, and physical examination (all p < 0.01). Diagnostic process faults associated with policies and procedures related to COVID-19 were not associated with DE risk. Fourteen patients (35.9% of patients with errors and 5.4% overall) suffered harm or death due to diagnostic error. LIMITATIONS: Results are limited by available documentation and do not capture communication between providers and patients. CONCLUSION: Among PUI patients, DEs were common and not associated with pandemic-related care changes, suggesting the importance of more general diagnostic process gaps in error propagation.

Shared decision making with black patients: A scoping review.

OBJECTIVE: The purpose of this review is to explore the breadth of research conducted on SDM in the care of Black patients. METHODS: We conducted a scoping review following the methodological framework outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. We searched articles related to original research on SDM in the care of Black patients in October 2022 using PubMed, Embase, and Google Scholar databases. Articles of all study designs (quantitative and qualitative), published or translated into English, were included. A standardized data extraction form and thematic analysis were used to facilitate data extraction by two independent reviewers. RESULTS: After removal of duplicates and screening, 30 articles were included in the final analysis. Black patients and clinician were found to not share the same understanding of SDM, and patients highly valued SDM in their care. Interventions to improve SDM yielded mixed results to enhance intent, participation in SDM, as well as health outcomes. Decision aids were the most effective form of intervention to enhance SDM. The most common barrier to SDM was patient-clinician communication, and was exacerbated by racial discordance, clinician mistrust, past experiences, and paternalistic clinician-patient dynamics. CONCLUSIONS: SDM has the potential to improve health outcomes in Black patients when implemented contextually within Black patients' experiences and concerns. Significant barriers such as clinician mistrust exist, and the overall perception in the Black community is that SDM does not occur sufficiently. Barriers to SDM seem to be most pronounced when there is patient-clinician racial discordance. Several interventions aimed at improving SDM with Black patients have shown mixed results. Future studies should evaluate larger-scale interventions with longer follow-up. Practice implications Shared decision making (SDM) has been proposed as a useful tool for improving quality and equity in Black patients' care. However, Black patients experience lower rates of SDM compared to other populations. SDM has the potential to improve health outcomes in Black patients when implemented contextually within Black patients' experiences and concerns.

Context matters: toward a multilevel perspective on context in clinical reasoning and error.

Context in diagnosis and management of patients is a vexing phenomenon in medicine and health professions education that can lead to unwanted variation in clinical reasoning performance and even errors that cause patient harm. Studies have examined individual-, team-, and system-level contextual factors, but the ways in which multiple contextual factors can interact, how both distracting and enabling factors can impact performance and error, and the boundaries between context and content information are not well understood. In this paper, we use a theory-based approach to enhance our understanding of context. We introduce a multilevel perspective on context that extends prior models of clinical reasoning and propose a micro-meso-macro framework to provide a more integrated understanding of how clinical reasoning is both influenced by and emerges from multiple contextual factors. The multilevel approach can also be used to study other social phenomena in medicine such as professionalism, learning, burnout, and implicit bias. We call for a new paradigm in clinical reasoning research and education that uses multilevel theory and analysis to enhance clinical reasoning performance expertise and improve the quality of patient care.

Using an experiential learning model to teach clinical reasoning theory and cognitive bias: an evaluation of a first-year medical student curriculum.

BACKGROUND: Most medical students entering clerkships have limited understanding of clinical reasoning concepts. The value of teaching theories of clinical reasoning and cognitive biases to first-year medical students is unknown. This study aimed to evaluate the value of explicitly teaching clinical reasoning theory and cognitive bias to first-year medical students. METHODS: Using Kolb's experiential learning model, we introduced dual process theory, script theory, and cognitive biases in teaching clinical reasoning to first-year medical students at an academic medical center in New York City between January and June 2020. Due to the COVID-19 pandemic, instruction was transitioned to a distance learning format in March 2020. The curriculum included a series of written clinical reasoning examinations with facilitated small group discussions. Written self-assessments prompted each student to reflect on the experience, draw conclusions about their clinical reasoning, and plan for future encounters involving clinical reasoning. We evaluated the value of the curriculum using mixed-methods to analyze faculty assessments, student self-assessment questionnaires, and an end-of-curriculum anonymous questionnaire eliciting student feedback. RESULTS: Among 318 total examinations of 106 students, 254 (80%) had a complete problem representation, while 199 (63%) of problem representations were considered concise. The most common cognitive biases described by students in their clinical reasoning were anchoring bias, availability bias, and premature closure. Four major themes emerged as valuable outcomes of the CREs as identified by students: (1) synthesis of medical knowledge; (2) enhanced ability to generate differential diagnoses; (3) development of self-efficacy related to clinical reasoning; (4) raised awareness of personal cognitive biases. CONCLUSIONS: We found that explicitly teaching clinical reasoning theory and cognitive biases using an experiential learning model provides first-year medical students with valuable opportunities for developing knowledge, skills, and self-efficacy related to clinical reasoning.

Neural correlates linking trauma and physical symptoms.

Trauma and chronic pain frequently co-occur, but the underlying neurological mechanisms are poorly understood. The current study investigated the neural correlates of stress and physical symptoms in trauma patients using functional magnetic resonance imaging (fMRI) and follow-up smartphone surveys. Participants were 10 patients diagnosed with Trauma- and Stressor-Related Disorders and 18 demographically-matched healthy controls who completed a fMRI stress provocation task in which they viewed stressful and neutral-relaxing images. Subsequently, participants completed daily smartphone surveys which prospectively monitored their stress and physical symptoms for 30 days. The trauma group experienced a significantly higher frequency of physical symptoms than controls during the follow-up period. During stress, trauma patients exhibited increased activity in the hippocampus, insula, and sensorimotor areas, but decreased activity in the ventromedial prefrontal cortex (vmPFC), lateral prefrontal cortex (LPFC), and dorsal striatum relative to controls. In all participants, higher physical symptom frequency was significantly associated with a hyperactive left hippocampal response to stress. The current study reports that trauma is characterized by greater physical symptoms and decreased prefrontal but increased limbic responses to stress. Our findings suggest that trauma may increase physical health symptoms by compromising hippocampal function, which could also increase vulnerability to stress- and pain-related disorders.

Integrative metabolomic and proteomic signatures define clinical outcomes in severe COVID-19.

The coronavirus disease-19 (COVID-19) pandemic has ravaged global healthcare with previously unseen levels of morbidity and mortality. In this study, we performed large-scale integrative multi-omics analyses of serum obtained from COVID-19 patients with the goal of uncovering novel pathogenic complexities of this disease and identifying molecular signatures that predict clinical outcomes. We assembled a network of protein-metabolite interactions through targeted metabolomic and proteomic profiling in 330 COVID-19 patients compared to 97 non-COVID, hospitalized controls. Our network identified distinct protein-metabolite cross talk related to immune modulation, energy and nucleotide metabolism, vascular homeostasis, and collagen catabolism. Additionally, our data linked multiple proteins and metabolites to clinical indices associated with long-term mortality and morbidity. Finally, we developed a novel composite outcome measure for COVID-19 disease severity based on metabolomics data. The model predicts severe disease with a concordance index of around 0.69, and shows high predictive power of 0.83-0.93 in two independent datasets.

Characteristics of procalcitonin in hospitalized COVID-19 patients and clinical outcomes of antibiotic use stratified by procalcitonin levels.

We examined the characteristics of pro-calcitonin (PCT) in hospitalized COVID-19 patients (cohort 1) and clinical outcomes of antibiotic use stratified by PCT in non-critically ill patients without bacterial co-infection (cohort 2). Retrospective reviews were performed in adult, hospitalized COVID-19 patients during March-May 2020. For cohort 1, we excluded hospital transfers, renal disease and extra-pulmonary infection without isolated pathogen(s). For cohort 2, we further excluded microbiologically confirmed infection, 'do not resuscitate ± do not intubate' status, and intensive care unit (ICU). For cohort 1, PCT was compared between absent/low-suspicion and proven bacterial co-infections. Factors associated with elevated PCT and sensitivity/specificity/PPV/NPV of PCT cutoffs for identifying bacterial co-infections were explored. For cohort 2, clinical outcomes including mechanical ventilation within 5 days (MV5) were compared between the antibiotic and non-antibiotic groups stratified by PCT ≥ 0.25 µg/L. Nine hundred and twenty four non-ICU and 103 ICU patients were included (cohort 1). The median PCT was higher in proven vs. absent/low-suspicion of bacterial co-infection. Elevated PCT was significantly associated with proven bacterial co-infection, ICU status and oxygen requirement. For PCT ≥ 0.25 µg/L, sensitivity/specificity/PPV/NPV were 69/65/6.5/98% (non-ICU) and 75/33/8.6/94% (ICU). For cohort 2, 756/1305 (58%) patients were included. Baseline characteristics were balanced between the antibiotic and non-antibiotic groups except PCT ≥ 0.25 µg/L (antibiotic:non-antibiotic = 59%:24%) and tocilizumab use (antibiotic:non-antibiotic = 5%:2%). 23% (PCT < 0.25 µg/L) and 58% (PCT ≥ 0.25 µg/L) received antibiotics. Antibiotic group had significantly higher rates of MV5. COVID-19 severity inferred from ICU status and oxygen requirement as well as the presence of bacterial co-infections were associated with elevated PCT. PCT showed poor PPV and high NPV for proven bacterial co-infections. The use of antibiotics did not show improved clinical outcomes in COVID-19 patients with PCT ≥ 0.25 µg/L outside of ICU when bacterial co-infections are of low suspicion.

Predictors of life-threatening complications in relatively lower-risk patients hospitalized with COVID-19.

Older individuals with chronic health conditions are at highest risk of adverse clinical outcomes from COVID-19, but there is widespread belief that risk to younger, relatively lower-risk individuals is negligible. We assessed the rate and predictors of life-threatening complications among relatively lower-risk adults hospitalized with COVID-19. Of 3766 adults hospitalized with COVID-19 to three hospitals in New York City from March to May 2020, 963 were relatively lower-risk based on absence of preexisting health conditions. Multivariable logistic regression models examined in-hospital development of life-threatening complications (major medical events, intubation, or death). Covariates included age, sex, race/ethnicity, hypertension, weight, insurance type, and area-level sociodemographic factors (poverty, crowdedness, and limited English proficiency). In individuals ≥55 years old (n = 522), 33.3% experienced a life-threatening complication, 17.4% were intubated, and 22.6% died. Among those <55 years (n = 441), 15.0% experienced a life-threatening complication, 11.1% were intubated, and 5.9% died. In multivariable analyses among those ≥55 years, age (OR 1.03 [95%CI 1.01-1.06]), male sex (OR 1.72 [95%CI 1.14-2.64]), being publicly insured (versus commercial insurance: Medicare, OR 2.02 [95%CI 1.22-3.38], Medicaid, OR 1.87 [95%CI 1.10-3.20]) and living in areas with relatively high limited English proficiency (highest versus lowest quartile: OR 3.50 [95%CI 1.74-7.13]) predicted life-threatening complications. In those <55 years, no sociodemographic factors significantly predicted life-threatening complications. A substantial proportion of relatively lower-risk patients hospitalized with COVID-19 experienced life-threatening complications and more than 1 in 20 died. Public messaging needs to effectively convey that relatively lower-risk individuals are still at risk of serious complications.

The Diagnostic Accuracy Of Procalcitonin for Urinary Tract Infection in Hospitalized Older Adults: a Prospective Study.

BACKGROUND: The diagnosis of urinary tract infection (UTI) is challenging among hospitalized older adults, particularly among those with altered mental status. OBJECTIVE: To determine the diagnostic accuracy of procalcitonin (PCT) for UTI in hospitalized older adults. DESIGN: We performed a prospective cohort study of older adults (≥65 years old) admitted to a single hospital with evidence of pyuria on urinalysis. PCT was tested on initial blood samples. The reference standard was a clinical definition that included the presence of a positive urine culture and any symptom or sign of infection referable to the genitourinary tract. We also surveyed the treating physicians for their clinical judgment and performed expert adjudication of cases for the determination of UTI. PARTICIPANTS: Two hundred twenty-nine study participants at a major academic medical center. MAIN MEASURES: We calculated the area under the receiver operating characteristic curve (AUC) of PCT for the diagnosis of UTI. KEY RESULTS: In this study cohort, 61 (27%) participants met clinical criteria for UTI. The median age of the overall cohort was 82.6 (IQR 74.9-89.7) years. The AUC of PCT for the diagnosis of UTI was 0.56 (95% CI, 0.46-0.65). A series of sensitivity analyses on UTI definition, which included using a decreased threshold for bacteriuria, the treating physicians' clinical judgment, and independent infectious disease specialist adjudication, confirmed the negative result. CONCLUSIONS: Our findings demonstrate that PCT has limited value in the diagnosis of UTI among hospitalized older adults. Clinicians should be cautious using PCT for the diagnosis of UTI in hospitalized older adults.

Comparing automated vs. manual data collection for COVID-specific medications from electronic health records.

INTRODUCTION: Data extraction from electronic health record (EHR) systems occurs through manual abstraction, automated extraction, or a combination of both. While each method has its strengths and weaknesses, both are necessary for retrospective observational research as well as sudden clinical events, like the COVID-19 pandemic. Assessing the strengths, weaknesses, and potentials of these methods is important to continue to understand optimal approaches to extracting clinical data. We set out to assess automated and manual techniques for collecting medication use data in patients with COVID-19 to inform future observational studies that extract data from the electronic health record (EHR). MATERIALS AND METHODS: For 4,123 COVID-positive patients hospitalized and/or seen in the emergency department at an academic medical center between 03/03/2020 and 05/15/2020, we compared medication use data of 25 medications or drug classes collected through manual abstraction and automated extraction from the EHR. Quantitatively, we assessed concordance using Cohen's kappa to measure interrater reliability, and qualitatively, we audited observed discrepancies to determine causes of inconsistencies. RESULTS: For the 16 inpatient medications, 11 (69%) demonstrated moderate or better agreement; 7 of those demonstrated strong or almost perfect agreement. For 9 outpatient medications, 3 (33%) demonstrated moderate agreement, but none achieved strong or almost perfect agreement. We audited 12% of all discrepancies (716/5,790) and, in those audited, observed three principal categories of error: human error in manual abstraction (26%), errors in the extract-transform-load (ETL) or mapping of the automated extraction (41%), and abstraction-query mismatch (33%). CONCLUSION: Our findings suggest many inpatient medications can be collected reliably through automated extraction, especially when abstraction instructions are designed with data architecture in mind. We discuss quality issues, concerns, and improvements for institutions to consider when crafting an approach. During crises, institutions must decide how to allocate limited resources. We show that automated extraction of medications is feasible and make recommendations on how to improve future iterations.

Groupthink among health professional teams in patient care: A scoping review.

There is emerging interest in understanding group decision making among a team of health professionals. Groupthink, a term coined by Irving Janis to depict premature consensus seeking in highly cohesive groups, is a theory that has been widely discussed in disciplines outside health care. However, it remains unclear how it has been conceptualized, studied, and mitigated in the context of health professionals conducting patient care. This scoping review aimed to examine the conceptualization of groupthink in health care, empirical research conducted in healthcare teams, and recommendations to avoid groupthink. Eight databases were systematically searched for articles focusing on groupthink among health professional teams using a scoping review methodology. A total of 22 articles were included-most were commentaries or narrative reviews with only four empirical research studies. This review found that focus on groupthink and group decision making in medicine is relatively new and growing in interest. Few empirical studies on groupthink in health professional teams have been performed and there is conceptual disagreement on how to interpret groupthink in the context of clinical practice. Future research should develop a theoretical framework that applies groupthink theory to clinical decision making and medical education, validate the groupthink framework in clinical settings, develop measures of groupthink, evaluate interventions that mitigate groupthink in clinical practice, and examine how groupthink may be situated amidst other emerging social cognitive theories of collaborative clinical decision making.

Irregular Autonomic Modulation Predicts Risky Drinking and Altered Ventromedial Prefrontal Cortex Response to Stress in Alcohol Use Disorder.

AIMS: Autonomic dysfunction has been associated with risky drinking and alcohol use disorder (AUD). Although autonomic nervous system (ANS) activity has been attributed to the ventromedial prefrontal cortex (VmPFC)-limbic-striatal regions, the specific role of ANS disruption in AUD and its association with these regions remain unclear. Using functional magnetic resonance imaging (fMRI) and concurrent electrocardiogram (ECG), the current study examined neural correlates of ANS activity in AUD and its role in AUD pathology. METHODS: Demographically matched 20 AUD patients and 20 social drinkers (SD) completed an fMRI task involving repeated exposure to stress, alcohol-cue and neutral-relaxing images in a block design. Based on the known VmPFC-limbic-striatal functions involved in emotions, reward and the ANS, we performed a regions of interest (ROI) analysis to examine the associations between ANS activity and neural responses in the VmPFC, amygdala, and ventral striatum. RESULTS: Across conditions, AUD patients showed significantly higher levels of overall heart rate (HR) and approximate entropy (ApEn) compared to SD (Ps < 0.05). In all participants, increased HR was associated with greater drinking volume (P < 0.05). In addition, higher ApEn levels were associated with greater drinking volume (P < 0.05) and decreased right VmPFC response to stress (P < 0.05). DISCUSSION: Our findings demonstrate ANS disruption in AUD indexed by high overall HR and ApEn. The association between ApEn and rVmPFC response suggests that ApEn may play a role in modulating drinking via interactions with neural regions of emotion regulation. These findings provide insight into patterns of ANS disruption and their relevance to AUD pathology.

Laboratory parameters and outcomes in hospitalized adults with COVID-19: a scoping review.

BACKGROUND: Laboratory parameters and the associated clinical outcomes have been an area of focus in COVID-19 research globally. PURPOSE: We performed a scoping review to synthesize laboratory values described in the literature and their associations with mortality and disease severity. METHODS: We identified all primary studies involving laboratory values with clinical outcomes as a primary endpoint by performing data searches in various systematic review databases until 10th August, 2020. Two reviewers independently reviewed all abstracts (13,568 articles) and full text (1126 articles) data. A total of 529 studies involving 165,020 patients from 28 different countries were included. Investigation of the number of studies and patients from a geographical perspective showed that the majority of published literature from January-March 2020 to April-June 2020 was from Asia, though there was a temporal shift in published studies to Europe and the Americas. For each laboratory value, the proportion of studies that noted a statistically significant (p < 0.05) correlation with adverse clinical outcomes (e.g., mortality, disease severity) was tabulated. RESULTS AND CONCLUSION: Among frequently reported laboratory values, blood urea nitrogen was the most often reported predictor of mortality (91%); neutrophil-to-lymphocyte ratio was the most frequent statistically significant laboratory parameter in predicting disease severity (96%). This review highlights the temporal progression of laboratory value frequencies, as well as potentially distinct utilities of different markers for clinical outcomes of COVID-19. Future research pathways include using this collected data for focused quantitative meta-analyses of particular laboratory values correlated with clinical outcomes of mortality and disease severity.

Impact of a Multiplex Polymerase Chain Reaction Panel on Duration of Empiric Antibiotic Therapy in Suspected Bacterial Meningitis.

BACKGROUND: Multiplex polymerase chain reaction (PCR) panels allow for rapid detection or exclusion of pathogens causing meningitis and encephalitis (ME). The clinical impact of rapid multiplex PCR ME panel results on the duration of empiric antibiotic therapy is not well characterized. METHODS: We performed a retrospective prepost study at our institution that evaluated the clinical impact of a multiplex PCR ME panel among adults with suspected bacterial meningitis who received empiric antibiotic therapy and underwent lumbar puncture in the emergency department. The primary outcome was the duration of empiric antibiotic therapy. RESULTS: The positive pathogen detection rates were similar between pre- and post-multiplex PCR ME panel periods (17.5%, 24 of 137 vs 20.3%, 14 of 69, respectively). The median duration of empiric antibiotic therapy was significantly reduced in the post-multiplex PCR ME panel period compared with the pre-multiplex PCR ME panel period (34.7 vs 12.3 hours, P = .01). At any point in time, 46% more patients in the post-multiplex PCR ME panel period had empiric antibiotic therapy discontinued or de-escalated compared with the pre-multiplex PCR ME panel period (sex- and immunosuppressant use-adjusted hazard ratio 1.46, P = .01). The median hospital length of stay was shorter in the post-multiplex PCR ME panel period (3 vs 4 days, P = .03). CONCLUSIONS: The implementation of the multiplex PCR ME panel for bacterial meningitis reduced the duration of empiric antibiotic therapy and possibly hospital length of stay compared with traditional microbiological testing methods.

Cytokine signatures of end organ injury in COVID-19.

Increasing evidence has shown that Coronavirus disease 19 (COVID-19) severity is driven by a dysregulated immunologic response. We aimed to assess the differences in inflammatory cytokines in COVID-19 patients compared to contemporaneously hospitalized controls and then analyze the relationship between these cytokines and the development of Acute Respiratory Distress Syndrome (ARDS), Acute Kidney Injury (AKI) and mortality. In this cohort study of hospitalized patients, done between March third, 2020 and April first, 2020 at a quaternary referral center in New York City we included adult hospitalized patients with COVID-19 and negative controls. Serum specimens were obtained on the first, second, and third hospital day and cytokines were measured by Luminex. Autopsies of nine cohort patients were examined. We identified 90 COVID-19 patients and 51 controls. Analysis of 48 inflammatory cytokines revealed upregulation of macrophage induced chemokines, T-cell related interleukines and stromal cell producing cytokines in COVID-19 patients compared to the controls. Moreover, distinctive cytokine signatures predicted the development of ARDS, AKI and mortality in COVID-19 patients. Specifically, macrophage-associated cytokines predicted ARDS, T cell immunity related cytokines predicted AKI and mortality was associated with cytokines of activated immune pathways, of which IL-13 was universally correlated with ARDS, AKI and mortality. Histopathological examination of the autopsies showed diffuse alveolar damage with significant mononuclear inflammatory cell infiltration. Additionally, the kidneys demonstrated glomerular sclerosis, tubulointerstitial lymphocyte infiltration and cortical and medullary atrophy. These patterns of cytokine expression offer insight into the pathogenesis of COVID-19 disease, its severity, and subsequent lung and kidney injury suggesting more targeted treatment strategies.