Clinical Gestalt Research Articles

6601 A Case of Recurrent Painless Thyroiditis and Discussion of Management

Abstract Disclosure: M.C. Slack: None. S. Grock: None. Introduction: Painless (silent) thyroiditis is characterized as a subacute and generally self-limited disease process in which patients develop transient thyrotoxicosis, which is often followed by a hypothyroid phase before entering the recovery euthyroid phase. Given high frequency of positive thyroid antibodies, it may be autoimmune-mediated; recurrence is rare. Here we present a case of recurrent painless thyroiditis and discuss management options. Clinical Case: A Korean woman was followed by endocrinology from age 38 to 60 and experienced at least seven episodes of painless thyroiditis over this time. The episodes occurred without an identifiable trigger and were not preceded by viral illness. During episodes she developed palpitations, hair loss, and dyspnea on exertion and biochemical evidence of thyrotoxicosis with TSH suppressed to <0.2 mIU/mL (normal 0.3-4.7) and elevated free T4 levels as high as 5.4 ng/dL (normal 0.8-1.7). TSI, TPO, and TSH receptor antibodies were checked during multiple episodes and resulted negative, though thyroglobulin antibody was significantly elevated. A radioactive iodine uptake scan was obtained during an active episode of thyroiditis and revealed diffusely low uptake. The patient’s episodes lasted approximately two to three months before normalization of her TSH and FT4. She had at least one instance of transient hypothyroidism after thyrotoxicosis with a TSH of 13.2 and FT4 of 0.6 which subsequently normalized 6 weeks later. The patient did not have known cardiovascular disease and DXA scans revealed mild osteopenia with the lowest T-score -1.3. RAI was considered for the patient based on the total number and increasing frequency of her episodes. She ultimately declined treatment with RAI and continues to follow with endocrinology. Clinical Lessons: While the deleterious effects of prolonged hyperthyroidism (e.g. osteoporosis, arrhythmia, cardiovascular disease) are well known, it is unclear what risk recurrent painless thyroiditis episodes pose. As there are no guidelines regarding treatment, clinical gestalt incorporating frequency and duration of episodes, as well as symptoms, is often used to determine if definitive management is indicated. There are case reports in the literature of treatment of recurrent thyroiditis with RAI ablation performed during a euthyroid state, which eliminated recurrence of episodes but did lead to permanent hypothyroidism necessitating hormone replacement. Surgical thyroidectomy may also be considered in select patients. This case highlights the challenges in treating rare cases of recurrent painless thyroiditis given the lack of research or established guidelines. It is reasonable to consider the frequency, severity, and total number of episodes, as well as patient risk factors, symptoms, and preferences when making recommendations regarding management. Presentation: 6/1/2024

Delirium detection in the emergency department: A diagnostic accuracy meta-analysis of history, physical examination, laboratory tests, and screening instruments.

Geriatric emergency department (ED) guidelines emphasize timely identification of delirium. This article updates previous diagnostic accuracy systematic reviews of history, physical examination, laboratory testing, and ED screening instruments for the diagnosis of delirium as well as test-treatment thresholds for ED delirium screening. We conducted a systematic review to quantify the diagnostic accuracy of approaches to identify delirium. Studies were included if they described adults aged 60 or older evaluated in the ED setting with an index test for delirium compared with an acceptable criterion standard for delirium. Data were extracted and studies were reviewed for risk of bias. When appropriate, we conducted a meta-analysis and estimated delirium screening thresholds. Full-text review was performed on 55 studies and 27 were included in the current analysis. No studies were identified exploring the accuracy of findings on history or laboratory analysis. While two studies reported clinicians accurately rule in delirium, clinician gestalt is inadequate to rule out delirium. We report meta-analysis on three studies that quantified the accuracy of the 4 A's Test (4AT) to rule in (pooled positive likelihood ratio [LR+] 7.5, 95% confidence interval [CI] 2.7-20.7) and rule out (pooled negative likelihood ratio [LR-] 0.18, 95% CI 0.09-0.34) delirium. We also conducted meta-analysis of two studies that quantified the accuracy of the Abbreviated Mental Test-4 (AMT-4) and found that the pooled LR+ (4.3, 95% CI 2.4-7.8) was lower than that observed for the 4AT, but the pooled LR- (0.22, 95% CI 0.05-1) was similar. Based on one study the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is the superior instrument to rule in delirium. The calculated test threshold is 2% and the treatment threshold is 11%. The quantitative accuracy of history and physical examination to identify ED delirium is virtually unexplored. The 4AT has the largest quantity of ED-based research. Other screening instruments may more accurately rule in or rule out delirium. If the goal is to rule in delirium then the CAM-ICU or brief CAM or modified CAM for the ED are superior instruments, although the accuracy of these screening tools are based on single-center studies. To rule out delirium, the Delirium Triage Screen is superior based on one single-center study.

13 Is the MACOCHA Score Better than Clinician Gestalt in the Emergency Department at Predicting Difficult Airways?

13 Is the MACOCHA Score Better than Clinician Gestalt in the Emergency Department at Predicting Difficult Airways?

Clinical Gestalt and TIMI Risk Score in Predicting Major Cardiac Event in Patients with Chest Pain at Emergency Department

Clinical Gestalt and TIMI Risk Score in Predicting Major Cardiac Event in Patients with Chest Pain at Emergency Department

Study of pediatric appendicitis scores and management strategies: A prospective observational feasibility study.

The objective was to investigate the feasibility of prospectively validating multiple clinical prediction scores (CPSs) for pediatric appendicitis in an Australian pediatric emergency department (ED). A literature search was conducted to identify potential CPSs and a single-center prospective observational feasibility study was performed between November 2022 and May 2023 to evaluate the performance of identified CPSs. Children 5-15 years presenting with acute right-sided or generalized abdominal pain and clinician suspicion of appendicitis were included. CPSs were calculated by the study team from prospectively clinician-collected data and/or review of medical records. Accuracy of CPSs were assessed by area under the receiver operating characteristic curve (AUC) and proportions correctly identifiable as either low-risk or high-risk with the best performing CPS compared to clinician gestalt. Final diagnosis of appendicitis was confirmed on histopathology or by telephone/email follow-up for those discharged directly from ED. Thirty CPSs were identified in the literature search and 481 patients were enrolled in the study. A total of 150 (31.2%) patients underwent appendectomy with three (2.0%) having a normal appendix on histopathology. All identified CPSs were calculable for at least 50% of the patient cohort. The pediatric Appendicitis Risk Calculator for pediatric EDs (pARC-ED; n = 317) was the best performing CPS with AUC 0.90 (95% confidence interval [CI] 0.86-0.94) and specificity 99.0% (95% CI 96.4%-99.7%) in diagnosing high-risk cases and a misclassification rate of 4.5% for low-risk cases. The study identified 30 CPSs that could be validated in a majority of patients to compare their ability to assess risk of pediatric appendicitis. The pARC-ED had the highest predictive accuracy and can potentially assist in risk stratification of children with suspected appendicitis in pediatric EDs. A multicenter study is now under way to evaluate the potential of these CPSs in a broader range of EDs to aid clinical decision making in more varied settings.

Computationally derived transition points across phases of clinical care

The objective of this study is to use statistical techniques for the identification of transition points along the life course, aiming to identify fundamental changes in patient multimorbidity burden across phases of clinical care. This retrospective cohort analysis utilized 5.2 million patient encounters from 2013 to 2022, collected from a large academic institution and its affiliated hospitals. Structured information was systematically gathered for each encounter and three methodologies - clustering analysis, False Nearest Neighbor, and transitivity analysis - were employed to pinpoint transitions in patients’ clinical phase. Clustering analysis identified transition points at age 2, 17, 41, and 66, FNN at 4.27, 5.83, 5.85, 14.12, 20.62, 24.30, 25.10, 29.08, 33.12, 35.7, 38.69, 55.66, 70.03, and transitivity analysis at 7.27, 23.58, 29.04, 35.00, 61.29, 67.03, 77.11. Clustering analysis identified transition points that align with the current clinical gestalt of pediatric, adult, and geriatric phases of care. Notably, over half of the transition points identified by FNN and transitivity analysis were between ages 20 and 40, a population that is traditionally considered to be clinically homogeneous. Few transition points were identified between ages 3 and 17. Despite large social and developmental transition at those ages, the burden of multimorbidities may be consistent across the age range. Transition points derived through unsupervised machine learning approaches identify changes in the clinical phase that align with true differences in underlying multimorbidity burden. These transitions may be different from conventional pediatric and geriatric phases, which are often influenced by policy rather than clinical changes.

Clinicians’ approach to predicting post-cardiac arrest outcomes for patients enrolled in a United States clinical trial

PurposePerceived poor prognosis can lead to withdrawal of life-sustaining therapies (WLST) in patients who might otherwise recover. We characterized clinicians’ approach to post-arrest prognostication in a multicenter clinical trial. MethodsSemi-structured interviews were conducted with clinicians who treated a comatose post-cardiac arrest patient enrolled in the Influence of Cooling Duration on Efficacy in Cardiac Arrest Patients (ICECAP) trial (NCT04217551). Two authors independently analyzed each interview using inductive and deductive coding. The clinician reported how they arrived at a prognosis for the specific patient. We summarized the frequency with which clinicians reported using objective diagnostics to formulate their prognosis, and compared the reported approaches to established guidelines. Each respondent provided demographic information and described local neuroprognostication practices. ResultsWe interviewed 30 clinicians at 19 US hospitals. Most claimed adherence to local hospital neuroprognostication protocols (n = 19). Prognostication led to WLST for perceived poor neurological prognosis in 15/30 patients, of whom most showed inconsistencies with guidelines or trial recommendations, respectively. In 10/15 WLST cases, clinicians reported relying on multimodal testing. A prevalent theme was the use of “clinical gestalt,” defined as prognosticating based on a patient's overall appearance or a subjective impression in the absence of objective data. Many clinicians (21/30) reported using clinical gestalt for initial prognostication, with 9/21 expressing high confidence initially. ConclusionClinicians in our study state they follow neuroprognostication guidelines in general but often do not do so in actual practice. They reported clinical gestalt frequently informed early, highly confident prognostic judgments, and few objective tests changed initial impressions. Subjective prognostication may undermine well-designed trials.

Outcomes of Out-of-Hospital Cardiac Arrest Patients Who Received Naloxone in an Emergency Medical Services System With a High Prevalence Of Opioid Overdose

BackgroundOpioid-associated out-of-hospital cardiac arrest (OA-OHCA) is a subset of cardiac arrests that could benefit from measures outside of standard Advanced Cardiac Life Support (ACLS), such as naloxone. Study ObjectivesIn this study, we sought to examine whether OHCA patients chosen for naloxone therapy by emergency medical services (EMS) clinicians in a system with high rates of opioid overdose would have increased rates of return of spontaneous circulation (ROSC) and survival to hospital discharge. MethodsThe study took place in an urban EMS system with a high prevalence of opioid overdose. Paramedics could administer naloxone in cardiac arrest in addition to ACLS. It was often administered based on clinical gestalt for suspected OA-OHCA. The outcomes of OHCA patients who received naloxone were compared against those who received usual care in both an adjusted and unadjusted fashion. Lastly, we created a logistic regression model to test for an independent association of naloxone administration on ROSC and survival to hospital discharge. ResultsA consecutive sample of 769 OHCA patients was obtained, of which 175 (23%) received naloxone. On average, patients who received naloxone had significantly fewer comorbidities and were younger. There was no difference in ROSC, survival to hospital discharge, or modified Rankin Scores. Using logistic regression modeling, there was no statistically significant effect of naloxone administration on these outcomes. ConclusionOHCA patients who received naloxone, despite being younger and having fewer comorbidities, had similar outcomes compared to those who received usual care. The difference in baseline characteristics suggests that paramedic gestalt reasonably selected for OA-OHCA.

Diagnosis of Acute Aortic Syndrome in the Emergency Department (DAShED) study: an observational cohort study of people attending the emergency department with symptoms consistent with acute aortic syndrome

BackgroundThe diagnosis of acute aortic syndrome (AAS) is commonly delayed or missed in the ED. We describe characteristics of ED attendances with symptoms potentially associated with AAS, diagnostic performance of...

How to Monitor Disease Activity of Axial Spondyloarthritis in Clinical Practice.

Treatment guided by periodic and quantitative data assessment results in better outcomes compared to using clinical gestalt. While validated generic as well as specific disease activity measures for axial spondyloarthritis (axSpA) are available, there is vast scope to improve their actual utilization in routine clinical practice. In this review, we discuss available disease activity measures for axSpA, describe results from the survey conducted among general rheumatologists as well as Spondyloarthritis Research and Treatment Network (SPARTAN) members about disease activity measurement in daily practice, and discuss ways to improve axSpA disease activity using technological advances. We also discuss the definitions of active disease and target for the treatment of axSpA. The 2019 American College of Rheumatology (ACR)/Spondylitis Association of America (SAA)/Spondyloarthritis Research and Treatment Network (SPARTAN) axSpA treatment guidelines conditionally recommend the regular monitoring of disease activity using a validated measure such as Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) or Ankylosing Spondylitis Disease Severity Index (ASDAS). Assessment of Spondyloarthritis International Society (ASAS)-European Alliance of Associations for Rheumatology (EULAR) guidelines recommend ASDAS as the most appropriate instrument for the assessment of disease activity, preferably calculated using C-reactive protein (CRP). ASAS has selected a core set of variables which were updated recently and have been endorsed by the Outcome Measures in Rheumatology Clinical Trials (OMERACT) group in order to bring homogeneity in assessment of axSpA. In a recent study, Patient-Reported Outcomes Measurement Information System (PROMIS®) measures were able to discriminate inactive, moderate, and high-very high ASDAS activity groups. A newly developed semi-objective index P4 (pain, physical function, patient global, and physician global) correlates well with BASDAI and ASDAS in axSpA and can also be used for other rheumatic diseases in busy clinical practices. Regular disease activity monitoring is critical for long-term management of axSpA and shared decision-making. The integration of electronic health records and smart devices provides a great opportunity to capture patient-reported data. Automated capture of electronic patient-reported outcome measures (ePROMs) is a highly efficient way and results in consistent regular monitoring and may improve the long-term outcomes. While currently used measures focus only on musculoskeletal symptoms of axSpA, a composite disease activity measure that can also incorporate extra-articular manifestations may provide a better assessment of disease activity.

Diagnostic Strategies in Pulmonary Embolism

AbstractKey to the diagnosis of pulmonary embolism (PE) is a careful bedside evaluation. After this, there are three further diagnostic steps. In all patients, estimation of the clinical probability of PE is performed. The other two steps are measurement of D-dimer when indicated and chest imaging when indicated. The clinical probability of PE is estimated at low, moderate, or high. The prevalence of PE is less than 15% among patients with low clinical probability, 15 to 40% with moderate clinical probability, and >40% in patients with high clinical probability. Clinical gestalt has been found to be very useful in estimating probability of PE. However, clinical prediction rules, such as Wells criteria, the modified Geneva score, and the PE rule out criteria have been advocated as adjuncts. In patients with high clinical probability, the high prevalence of PE can lower the D-dimer negative predictive value, which could increase the risk of diagnostic failure. Consequently, patients with high probability for PE need to proceed directly to chest imaging, without prior measurement of D-dimer level. Key studies in determining which low to moderate probability patients require chest imaging are the Age-adjusted D-dimer cutoff levels to rule out pulmonary embolism (ADJUST-PE), the Simplified diagnostic management of suspected pulmonary embolism (YEARS), and the Pulmonary Embolism Graduated D-Dimer trials. In patients with low clinical probability, PE can be excluded without imaging studies if D-dimer is less than 1,000 ng/mL. In patients in whom there is not a low likelihood for PE, this can be excluded without imaging studies if the D-dimer is below the age-adjusted threshold.

Survey on Nutrition in Neurological Intensive Care Units (SONNIC)-A Cross-Sectional Survey among German-Speaking Neurointensivists on Medical Nutritional Therapy.

Medical nutritional therapy (MNT) in neurointensive care units (NICUs) is both particularly relevant and challenging due to prolonged analgosedation, immobilization, disorders of consciousness, and the high prevalence of dysphagia. Moreover, current guideline recommendations predominantly address the general intensive care unit (ICU) population, overlooking specific characteristics of neurological patients. We, therefore, conducted a web-based, cross-sectional survey for German-speaking neurointensivists mapping the clinical practices of MNT on NICUs to identify research gaps and common grounds for future clinical trials. A total of 25.9% (56/216) NICU representatives responded to our questionnaire. A total of 78.2% (43/55) were neurologist and 63% (34/54) held a leadership role. Overall, 80.4% (41/51) had established a standard operating procedure (SOP), largely based on the DGEM-Guideline (53.7%; 22/41), followed by the ESPEN-Guideline (14.6%; 6/41). Upon admission, 36% (18/50) conducted a risk stratification, with 83.3% primarily relying on past medical history (15/18) and clinical gestalt (15/18). Energy expenditure (EE) was measured or calculated by 75% (36/48), with 72.2% (26/36) using pragmatic weight-based equations. Indirect calorimetry was used by 19.4% (7/36). A total of 83.3% (30/36) used the patient's serum glucose level as the primary biomarker to monitor metabolic tolerance. SOPs regarding ICU-Acquired Weakness (ICUAW) were found in 8.9% (4/45) of respondents. Overall, guideline adherence was 47%. In summary, this is, to the best of our knowledge, the first study systematically describing the currently applied concepts of MNT on NICUs. The data reveal great variations in the implementation of guideline recommendations, indicating the need for further research and tailored approaches to optimize nutritional therapy in neurointensive care settings.

Peripartum Mood Clinic Referral Rates Pre- and Post-COVID

Background: Peripartum depression is a common complication of pregnancy with the potential for dangerous consequences to maternal and infant health if left untreated. The COVID-19 pandemic increased the incidence of mental health disorders globally with an even greater effect on peripartum mothers. Disparities in access to mental health services may further exacerbate health care outcomes for affected individuals. Aims: The aim of this study is to evaluate Edinburgh Postpartum Depression Scale (EPDS) scores pre- and post-COVID-19 to determine if mental health worsened post-COVID and assess how certain demographics were affected compared to others. Methods: This is a retrospective cohort study of all pregnant patients referred to the Perinatal Mood Disorder Program at a large academic hospital in Indianapolis between March 1, 2019 to March 1, 2021. March 1, 2020 was the date used to determine our pre- and post-COVID groups, as it was near this time an official coronavirus outbreak was declared. Referral criteria were based on EPDS score and clinical gestalt. A convenience The sample of the population was assessed with EPDS score as the primary outcome. Demographic information including zip code of residence, psychiatric history, obstetric and newborn outcomes were also captured. Descriptive analysis, t-test and χ2 test were performed with statistical significance determined as p<0.05. Results: There were 1,487 total pregnant patients referred with 733 referred pre-COVID and 754 post-COVID. Six hundred patients were sampled for analysis – 288 pre-COVID and 312 post-COVID. There were no statistically significant differences in age, ethnicity and race between groups. The mean EPDS score was not statistically significant between the groups (9.71 and 9.81, p 0.84). The four zip codes with the highest referral rates to the mood clinical also corresponded to areas within Indianapolis with the highest levels of poverty. Conclusion: Edinburgh Postpartum Depression Scale scores were not different between pregnant patients pre- and post-COVID. There was also no difference in demographic characteristics between groups. The pandemic exacerbated existing barriers to treatment of peripartum mood disorders, highlighting the responsibility of clinicians and policymakers to support, identify, and facilitate treatment for this vulnerable population to prevent both short and long-term repercussions.

Abstract 251: Approach to Prognostication for Patients Enrolled in a Post-Arrest Clinical Trial

Introduction/Background: Neuroprognostication after cardiac arrest is complex and the way clinicians prognosticate is not well understood. Research Question/Hypothesis: How do clinicians describe their approach to post-arrest prognostication in general and in specific patients they have treated? Goals/Aims: Characterize one or more prevailing themes in clinical decision-making about neuroprognostication. Methods/Approach: We surveyed and performed semi-structured interviews with clinicians who had cared for a subject enrolled in the Influence of Cooling Duration on Efficacy in Cardiac Arrest Patients (ICECAP) trial (NCT04217551). We performed interviews after trial subject died or was discharged. Our interviews explored clinician’s approach to neuroprognostication. Two authors (AS and YY) independently performed thematic analysis using inductive coding, then discussed any discrepancies and reached a consensus. Early in coding, we identified “clinical gestalt” as a common theme, defined as prognosticating based on patients overall appearance or impression of their history in the absence of any definitive prognostic tests. Each clinician provided their demographic information and local standard practices. We presented emerging themes and discrete responses with descriptive statistics as appropriate. We did not have access to subjects’ clinical identifiers or treatment arm of the trial. Results/Data: We interviewed 30 clinicians, who practiced at 19 US hospitals. Clinicians were primarily attendings (n=20) and most practiced critical care (n=21). Many (21/30) clinicians reported using clinical gestalt to formulate their early impressions. Of these, 9/21 reported high certainty in their initial predictions. Clinical gestalt informed both prediction of good and poor outcomes. Clinicians described different ways of incorporating gestalt into prognostication, including arrest history (17/21), severity of initial shock or multi-system organ failure (13/21), past clinical experience (10/21), comorbidities (10/21), and patient physical appearance (6/21). Conclusion: Clinicians often use gestalt when formulating early impressions of patient’s prognosis, an approach rarely discussed in prognostication literature.

Survey of Pulmonary Embolism Risk Stratification Methods in the Emergency Department and Barriers to Electronic Health Record Documentation

Introduction Pulmonary Embolism (PE) is a major cause of morbidity and mortality worldwide. Diagnosis is essential as untreated PE has a 30% mortality rate. Currently, computer tomography pulmonary angiogram (CTPA) is the standard of care to diagnose PE. However, this modality is expensive, exposes patients to radiation and increases risk of contrast induced nephropathy. Furthermore, only 5% of CTPAs performed are positive for PE signifying that many unnecessary tests are being performed. To address this gap, Pre-Test Probability (PTP) tools have been developed to safely exclude patients with low risk of PE and limit iatrogenic harm from over testing. Despite the tools being developed over 20 years ago, they are not widely available in electronic health record (EHR) systems and even when they are built in, uptake remains low. Methods Three large integrated health systems using Epic EHR systems across five states (MA, WI. MN, AZ, FL) built electronic PTP assessments into their EHR systems to safely exclude patients with low risk of PE and limit over testing. Two sites made the PTP optional, and one site made it a forced function (providers were forced to complete PTP prior to ordering CTPA unless a D-dimer result was present in the prior 48 hours). To assess the usability of these EHR tools, the team conducted a survey with ED clinicians across the three test sites. The survey was created to identify which PE risk stratification methods were employed by ED clinicians (EHR embedded PTP tool, apps on their phone, web applications like MDcalc, calculations from memory, or if they relied on clinical gestalt), and to identify barriers to using the EHR embedded PTP. Results Site 1 had 47 respondents, Site 2 had 94 respondents, and Site 3 had 16 respondents. Two key findings emerged from the survey (Figure 1). First, clinicians used a variety of risk stratification approaches and few of them documented their risk assessments in structured fields in the medical record. Second, clinical gestalt was the most used PE risk stratification approach, and this was true across all three test sites. In addition, the health system with a PTP prompt before clinicians could proceed with CTPA orders (Site 3) did not have a higher percentage of clinicians who reported using the EHR embedded tool than sites that did not prompt clinicians to fill in the PTP. Clinicians cited a variety of different barriers to using the EHR embedded PTP tool (Table 1). Conclusion While many clinicians indicated intermittent use of PTP criteria to aid in the diagnosis of PE, risk factors and scores from phone apps, web tools, and calculations from memory are unlikely to be documented in the patient's medical record, which means that they are not accessible to all members of the ED care team and cannot be used for electronic clinical quality measure. The biggest hurdles to increasing the use of structured PTP assessments in the ED setting to safely exclude PE and limit iatrogenic harm from over testing are (1) obtaining buy-in from ED clinicians that the PTP tools provide value over clinical gestalt, at least for a subset of patients who could most benefit, and (2) identifying best practices for incorporating PTP tools into EHR systems that make the tools easier to access and use 3) developing and implementing effective education and awareness programs around the PTP tools. This survey adds to the body of literature on PTP assessments in the ED setting and can help inform further research that is needed to continue to improve the diagnosis of PE. Funding: This project is funded in part by the Gordon and Betty Moore Foundation through Grant GBMF10778 to the American Society of Hematology.

Frail and Pre-Frail Older Adults with Acute Myeloid Leukemia Have Inferior Survival Due to Higher Rates of Disease-Related Deaths

Introduction: The intensity of initial remission-inducing therapy for patients with newly diagnosed acute myeloid leukemia (AML) may be high (anthracycline and cytarabine-based), intermediate (venetoclax combinations), or low (single hypomethylating agent or targeted therapy). In older adults, it is important to consider “fitness” when selecting initial therapy. Current methods to determine “fitness” in AML include subjective measures such as physician assessment (“clinician gestalt, CG”) semi-subjective measures such Eastern Cooperative Oncology Group (ECOG) or Karnofsky performance status (KPS), and those based on clinical comorbidity data like the hematopoietic cell transplantation-comorbidity index (HCT-CI). Geriatric assessments in older adults with cancer may improve therapy selection and decision-making, but whether unfit patients have better outcomes with lower intensity compared to higher intensity therapies is unknown. Freid's Frailty Phenotype (FP) combines subjective (self-reported exhaustion, weight loss >5%, activity level) and objective (4-meter walk speed and grip strength) measures to categorize patients into fit, pre-frail, and frail. We hypothesized that being frail by FP is associated with higher overall mortality (OM) and inferior overall survival (OS) and may inform decision-making for older adults. Methods: Eighty-fivepatients 60 years or older admitted to the Hospital of the University of Pennsylvania at the time of AML diagnosis or electively admitted for AML chemotherapy initiation were prospectively enrolled from September, 2018 to May, 2023 on an IRB approved study. FP, HCT-CI, KPS, ECOG, gait speed, and recorded CG (fit or unfit) were performed prior to initiation of disease-directed therapy. Results: Themedian age of the cohort was 71 (range60-91). Patients in our cohort had high-risk disease features: 64% were adverse risk by European LeukemiaNet (ELN) 2017 with 73% of patients harboring mutations associated with clonal hematopoiesis of indeterminate potential (CHIP) (Table 1). 39% of patients received IC, 52% received HMA/ven, 6% received HMA alone or targeted therapy, and 2% received best supportive care. By FP, 18% of patients were fit, 38% were pre-frail, and 45% were frail. Higher ECOG, KPS, CG, and HCT-CI were associated with frail phenotypes (Table 1). For the entire population, 60-day and 100-day OM rates were 18% and 33%, respectively. For fit, pre-frail, and frail patients 60-day OM was 7%, 13%, and 24% and 100-day OM was 13%, 22%, and 42%, respectively. Two-year OS was 65% for patients aged 60-69 years old and 15% for patients ≥70 years old (p=0.002). FP was significantly associated with OS (Figure 1; p=0.0474): 2-year OS was 57%, 42%, and 21% in fit, pre-frail, and frail patients, respectively. Of the individual components of FP, self-reported exhaustion and slower gait speed were both associated with inferior OS (p=0.0015 and p=0.0005). Neither activity level, (p=.0864), weight loss (p=0.1988), or grip strength (p= 0.7136) were associated with OS. Of the total population 19% went on to hematopoietic cell transplant (HCT) with 8% of frail patients receiving HCT compared to 27% of fit and 28% of pre-frail patients. ECOG, HCT-CI, CG, and gait speed ≤8 meters/sec were all significantly associated with OS, but KPS was not. The 6-month OS for frail patients receiving IC was 75% compared with 49.7% for those receiving HMA/Ven, although not significant due to small sample size. Cause of death was leukemia-related for 40% of fit patients, 76% of pre-frail patients, 77% of frail patients. Conclusions: FP was associated with a doubling of early mortality and inferior 2-year OS. Pre-frail and frail patients had increased disease-related deaths. This work supports that most geriatric assessments, including FP and clinician intuition, can be utilized to risk-stratify newly diagnosed older adults with AML. Future work is needed to evaluate whether we can integrate geriatric assessments, such as individual components of FP or gait speed, with molecular features to improve risk stratification of older adults with AML. Given frailty's association with disease-related deaths, further study is warranted to determine whether this is due to adverse disease biology or whether frail patients are undertreated.

Predictors of Readmission, for Patients with Chronic Obstructive Pulmonary Disease (COPD) - A Systematic Review.

Chronic obstructive pulmonary disease (COPD) is the third-leading cause of death globally and is responsible for over 3 million deaths annually. One of the factors contributing to the significant healthcare burden for these patients is readmission. The aim of this review is to describe significant predictors and prediction scores for all-cause and COPD-related readmission among patients with COPD. A search was conducted in Ovid MEDLINE, Ovid Embase, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials, from database inception to June 7, 2022. Studies were included if they reported on patients at least 40 years old with COPD, readmission data within 1 year, and predictors of readmission. Study quality was assessed. Significant predictors of readmission and the degree of significance, as noted by the p-value, were extracted for each study. This review was registered on PROSPERO (CRD42022337035). In total, 242 articles reporting on 16,471,096 patients were included. There was a low risk of bias across the literature. Of these, 153 studies were observational, reporting on predictors; 57 studies were observational studies reporting on interventions; and 32 were randomized controlled trials of interventions. Sixty-four significant predictors for all-cause readmission and 23 for COPD-related readmission were reported across the literature. Significant predictors included 1) pre-admission patient characteristics, such as male sex, prior hospitalization, poor performance status, number and type of comorbidities, and use of long-term oxygen; 2) hospitalization details, such as length of stay, use of corticosteroids, and use of ventilatory support; 3) results of investigations, including anemia, lower FEV1, and higher eosinophil count; and 4) discharge characteristics, including use of home oxygen and discharge to long-term care or a skilled nursing facility. The findings from this review may enable better predictive modeling and can be used by clinicians to better inform their clinical gestalt of readmission risk.

Clinical gestalt in identifying pulmonary embolism: does one size fit all?

Clinical gestalt in identifying pulmonary embolism: does one size fit all?

Routine investigations for patients with mental and behavioural disturbances.

The process of medical clearance aims to exclude a general medical condition as an underlying cause for mental and behavioural disorders and involves routine screening with special investigations. Current evidence, however, suggests that clinician gestalt should guide the need for special investigations and that there is no benefit to routine screening. This study aimed to determine the effectiveness of and adherence to the Western Cape (WC) provincial guidelines for routine investigations of adult patients with behavioural disturbances. This study was conducted at Mitchells Plain Hospital in Cape Town, South Africa. This descriptive study was conducted at Mitchells Plain Hospital in Cape Town, South Africa. Data were collected from existing electronic registries over a 6-month period. Adult mental healthcare users were risk stratified into the probability of having a general medical condition and the results of their special investigations were described against their outcome. Of the 688 patients included in this study, 66% had abnormal vital signs and of the 312 patients who received special investigations, 56% were abnormal, including 18% who were clinically significantly abnormal. Abnormal special investigations changed the clinical outcome for 3 (<1%) patients. Adherence to the guidelines was reasonable (82%) but non-adherence resulted in unnecessary investigations. The results of this study support the existing evidence that clinical assessment and clinician gestalt should guide the need for special investigations and that there is no benefit to routine screening in the emergency centre (EC). The results also demonstrate that non-adherence rarely changed patient outcomes. This study provides information on the value of routine screening investigations in ECs.

Biomarkers in acute kidney injury: On the cusp of a new era?

The field of nephrology has been slow in moving beyond the utilization of creatinine as an indicator for chronic kidney disease and acute kidney injury (AKI). Early diagnosis and establishment of etiology, in particular, are important for treatment of AKI. In the setting of hospital-acquired AKI, tubular injury is more common, but acute interstitial nephritis (AIN) has a more treatable etiology. However, it is likely that AIN is under- or misdiagnosed due to current strategies that largely rely on clinical gestalt. In this issue of the JCI, Moledina and colleagues made an elegant case for the chemokine called C-X-C motif ligand 9 (CXCL9) as a biomarker of AIN. The authors used urine proteomics and tissue transcriptomics in patients with and without AIN to identify CXCL9 as a promising, noninvasive, diagnostic biomarker of AIN. These results have clinical implications that should catalyze future research and clinical trials in this space.