Thorsteinsdottir, Bjoerg

Background: Diagnostic delay and error represent pervasive problems in healthcare with grave implications for treatment and prognosis. Though characteristic of human cognition, cognitive biases commonly contribute to delays in the physician decision-making process, particularly in atypical or complex presentations in youth. Methods: We present a case series of three adolescent athletes with varied clinical presentations whose diagnostic conceptualization and treatment were delayed in part due to cognitive biases with consequences for overall health and development, as well as return to sport. Results: The first case depicts how an atypical presentation of celiac disease was attributed to growing pains, illustrating the contribution of anchoring bias and confirmation bias in medical decision making. The second case represents the misattribution of chronic exertional compartment syndrome pain to growing pains and post-exercise soreness, highlighting the influence of ascertainment bias on the initial misdiagnosis. The third case describes how a vertebral mass was misdiagnosed as a left shoulder strain from weightlifting, depicting the contribution of anchoring bias and ascertainment bias in medical decision making. Conclusions: Early recognition of cognitive biases, including confirmation bias, anchoring bias, and ascertainment bias, is crucial for improving medical decision making, particularly in cases of rare or atypical presentations, reducing unnecessary diagnostic delays, and setting more realistic patient expectations. Through discussion of these cases, we highlight concrete steps to manage bias to facilitate timely diagnosis within the primary care and sports medicine setting.

Background and objectives Despite the dramatic increase in the provision of virtual nephrology care, only anecdotal reports of outcomes without comparators to usual care exist in the literature. This study aimed to provide objective determination of clinical noninferiority of hybrid (telenephrology plus face-to-face) versus standard (face-to-face) inpatient nephrology care. Design, setting, participants, & measurements This retrospective study compares objective outcomes in patients who received inpatient hybrid care versus standard nephrology care at two Mayo Clinic Health System community hospitals. Outcomes were then additionally compared with those patients receiving care at another Mayo Clinic Health System site where only standard care is available. Hospitalized adults who had nephrology consults from March 1, 2020 to February 28, 2021 were considered. Regression was used to assess 30-day mortality, length of hospitalization, readmissions, odds of being prescribed dialysis, and hospital transfers. Sensitivity analysis was performed using patients who had ≥50% of their care encounters via telenephrology. Structured surveys were used to understand the perspectives of non-nephrology hospital providers and telenephrologists. Results In total, 850 patients were included. Measured outcomes that included the number of hospital transfers (odds ratio, 1.19; 95% confidence interval, 0.37 to 3.82) and 30-day readmissions (odds ratio, 0.97; 95% confidence interval, 0.84 to 1.06), among others, did not differ significantly between controls and patients in the general cohort. Telenephrologists ( n =11) preferred video consults (82%) to phone for communication. More than half (64%) of telenephrologists spent less time on telenephrology compared with standard care. Non-nephrology hospital providers ( n =21) were very satisfied (48%) and satisfied (29%) with telenephrology response time and felt telenephrology was as safe as standard care (67%), while providing them enough information to make patient care decisions (76%). Conclusions Outcomes for in-hospital nephrology consults were not significantly different comparing hybrid care versus standard care. Non-nephrology hospital providers and telenephrologists had favorable opinions of telenephrology and most perceived it is as safe and effective as standard care. Podcast This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_04_11_CJN13441021.mp3

Although Chronic Kidney Disease is common, only a relatively small proportion of individuals will reach kidney failure requiring dialysis or transplantation. Validated risk equations using routine laboratory tests have been developed that can easily be used at the bedside to help clinicians accurately predict the risk of kidney failure in their patient population, in turn informing patient-centered conversations, guiding appropriate nephrology referrals, improving the timing of dialysis treatment planning, and identifying individuals who are most likely to benefit from interventions. In this article, individuals living with kidney disease share why access to individualized prediction of kidney failure risk can help patients manage their disease and why it should be considered an essential component of kidney care.

Background Goals of care (GOC) conversations in the emergency department (ED) are often a brief discussion of code status rather than a patient-oriented dialogue. We aimed to develop a guide to facilitate conversations between ED clinicians and patients to elicit patient values and establish goals for end-of-life care, while maintaining ED efficiency. Paths of ED Care, a conversation guide, is the product of this work. Design A multidisciplinary/multispecialty group used recommended practices to adapt a GOC conversation guide for ED patients. ED clinicians used the guide and provided feedback on content, design, and usability. Patient-clinician interactions were recorded for discussion analysis, and both were surveyed to inform iterative refinement. A series of discussions with patient representatives, multidisciplinary clinicians, bioethicists, and health care designers yielded feedback. We used a process similar to the International Patient Decision Aid Standards and provide comparison to these. Results A conversation guide, eight pages with each page 6 by 6 inches in dimension, uses patient-oriented prompts and includes seven sections: 1) evaluation of patient/family understanding of disease, 2) explanation of possible trajectories, 3) introduction to different pathways of care, 4) explanation of pathways, 5) assessment of understanding and concerns, 6) code status, and 7) personalized summary. Limitations Recruitment of sufficient number of patients/providers to the project was the primary limitation. Methods are limited to qualitative analysis of guide creation and feasibility without quantitative analysis. Conclusions Paths of ED Care is a guide to facilitate patient-centered shared decision making for ED patients, families, and clinicians regarding GOC. This may ensure care concordant with patients’ values and preferences. Use of the guide was well-received and facilitated meaningful conversations between patients and providers.

Abstract Background Delirium is underdiagnosed in clinical practice and is not routinely coded for billing. Manual chart review can be used to identify the occurrence of delirium; however, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) has the capability to process raw text in electronic health records (EHRs) and determine the meaning of the information. We developed and validated NLP algorithms to automatically identify the occurrence of delirium from EHRs. Methods This study used a randomly selected cohort from the population-based Mayo Clinic Biobank (N = 300, age ≥65). We adopted the standardized evidence-based framework confusion assessment method (CAM) to develop and evaluate NLP algorithms to identify the occurrence of delirium using clinical notes in EHRs. Two NLP algorithms were developed based on CAM criteria: one based on the original CAM (NLP-CAM; delirium vs no delirium) and another based on our modified CAM (NLP-mCAM; definite, possible, and no delirium). The sensitivity, specificity, and accuracy were used for concordance in delirium status between NLP algorithms and manual chart review as the gold standard. The prevalence of delirium cases was examined using International Classification of Diseases, 9th Revision (ICD-9), NLP-CAM, and NLP-mCAM. Results NLP-CAM demonstrated a sensitivity, specificity, and accuracy of 0.919, 1.000, and 0.967, respectively. NLP-mCAM demonstrated sensitivity, specificity, and accuracy of 0.827, 0.913, and 0.827, respectively. The prevalence analysis of delirium showed that the NLP-CAM algorithm identified 12 651 (9.4%) delirium patients, the NLP-mCAM algorithm identified 20 611 (15.3%) definite delirium cases, and 10 762 (8.0%) possible cases. Conclusions NLP algorithms based on the standardized evidence-based CAM framework demonstrated high performance in delineating delirium status in an expeditious and cost-effective manner.

Background Patients on home dialysis therapies experience technique failure, which is associated with morbidity and mortality. Reasons for technique failure are complex, and often related to functional decline in the patient or caregiver. Frailty is associated with an increased risk of adverse health outcomes. We investigated the impact of frailty on technique failure and mortality in a prospective cohort of patients on home dialysis therapies. Methods We collected objective (Fried criteria and Short Physical Performance Battery [SPPB]), and subjective (physician and nurse impression) measures of frailty from 109 prevalent home dialysis patients. Our primary outcome was a composite of technique failure, defined as a permanent unplanned transition (> 30 days in duration) to facility-based hemodialysis or all-cause death. The association between different frailty assessment tools and the primary composite outcome was evaluated using Cox models. Results Fried criteria and physician impression was associated with a greater than 2-fold increase in risk of our composite outcome (HR: 2.10 [95% CI 1.09 – 3.99], 2.15 [95% CI 1.15 – 4.00, respectively] in adjusted analyses. Weakness and weight loss subdomains of the Fried criteria were both associated with an increased risk of our composite outcome in adjusted analyses (HR: 2.16 [95% CI 1.23 – 3.78], 2.69 [95% CI 1.39 – 5.40], respectively). Conclusions Objective and subjective measures of frailty are associated with a more than 2-fold higher risk of technique failure or death in patients undergoing home dialysis. Assessing frailty as part of the clinical evaluation for home dialysis therapies may be useful for prognostication and clinical management.

Established hospital palliative care consult services (PCCS) have been associated with reduced costs and length of stay, decreased symptom burden, and increased satisfaction with care. Using a retrospective case–control design, we analyzed administrative data of patients seen by PCCS while hospitalized at the Rochester, Minnesota Mayo Clinic hospitals from 2003 to 2008. The PCCS patients were matched to 3:1. A total of 1477 patients seen by the PCCS were matched with 4431 patients not seen. Costs for patients seen and discharged alive were US$35 449 (95% confidence interval [CI] US$34 157-US$36 686) compared to US$37 447 (95% CI US$36 734-US$38 126), without PCCS consultation. Costs for PCCS patients that died during hospitalization were US$54 940 (95% CI US$51 483-US$58 576) and non-PCCS patients were US$79 660 (95% CI US$76 614-US$83 398).