Assessing data gathering of chatbot based symptom checkers - a clinical vignettes study.

BACKGROUND: The burden on healthcare systems is mounting continuously owing to population growth and aging, overuse of medical services, and the recent COVID-19 pandemic. This overload is also causing reduced healthcare quality and outcomes. One solution gaining momentum is the integration of intelligent self-assessment tools, known as symptom-checkers, into healthcare-providers' systems. To the best of our knowledge, no study so far has investigated the data-gathering capabilities of these tools, which represent a crucial resource for simulating doctors' skills in medical-interviews. OBJECTIVES: The goal of this study was to evaluate the data-gathering function of currently available chatbot symptom-checkers. METHODS: We evaluated 8 symptom-checkers using 28 clinical vignettes from the repository of MSD-Manual case studies. The mean number of predefined pertinent findings for each case was 31.8 ± 6.8. The vignettes were entered into the platforms by 3 medical students who simulated the role of the patient. For each conversation, we obtained the number of pertinent findings retrieved and the number of questions asked. We then calculated the recall-rates (pertinent-findings retrieved out of all predefined pertinent-findings), and efficiency-rates (pertinent-findings retrieved out of the number of questions asked) of data-gathering, and compared them between the platforms. RESULTS: The overall recall rate for all symptom-checkers was 0.32(2,280/7,112;95 %CI 0.31-0.33) for all pertinent findings, 0.37(1,110/2,992;95 %CI 0.35-0.39) for present findings, and 0.28(1140/4120;95 %CI 0.26-0.29) for absent findings. Among the symptom-checkers, Kahun platform had the highest recall rate with 0.51(450/889;95 %CI 0.47-0.54). Out of 4,877 questions asked overall, 2,280 findings were gathered, yielding an efficiency rate of 0.46(95 %CI 0.45-0.48) across all platforms. Kahun was the most efficient tool 0.74 (95 %CI 0.70-0.77) without a statistically significant difference from Your.MD 0.69(95 %CI 0.65-0.73). CONCLUSION: The data-gathering performance of currently available symptom checkers is questionable. From among the tools available, Kahun demonstrated the best overall performance.

Evaluation of the clinical impact of bone marrow cultures in current medical practice.

The clinical yield and benefit of performing bone marrow cultures for various clinical indications has been challenged and their clinical necessity remains debatable. We sought to assess the clinical yield and benefit of performing routine bone marrow cultures and determine whether various clinical, laboratory, and imaging parameters were predictive of a diagnostic bone marrow culture. This was a single center retrospective analysis of all patients who underwent a bone marrow study comprising bone marrow cultures from January 1, 2012, through March 1, 2018. Baseline clinical data were extracted from the institution's electronic medical records system. The analyzed cohort consisted of 139 patients with a median age of 46 years (range 4 months to 85 years). The most common indication for a bone marrow study was workup of a fever of unknown origin (105 patients, 76%) while investigation for infection in immunocompromised patients accounted for 22 cases (16%) and suspected tuberculosis was the reason for acquisition of bone marrow cultures in 6 patients (4%). Only 3 patients had positive bone marrow cultures, yielding in 2 patients a diagnosis of Mycobacterium avium and in one patient a microbiologically unclassifiable fungal infection. A univariate analysis revealed that mean age, hemoglobin level, platelet count, c-reactive protein levels, gender, indication for bone marrow study, yield of blood cultures, and contribution of imaging studies and bone marrow pathology results were not significantly different between patients with diagnostic and non-diagnostic bone marrow cultures. Mean white blood cell count was found to be significantly lower in patients with diagnostic bone marrow cultures (2.4 × 103/µL versus 8.7 × 103/µL; P = 0.038). We conclude that for most patients, performance of bone marrow cultures holds limited clinical value.

ELN 2017 classification significantly impacts the risk of early death in acute myeloid leukemia patients receiving intensive induction chemotherapy.

Early mortality remains a challenging therapeutic facet of the initial induction phase of intensive chemotherapy in patients with acute myeloid leukemia (AML). The impact of standard molecular evaluation and risk category of the European LeukemiaNet (ELN) 2017 classification model on early mortality has not been rigorously evaluated thus far. We reviewed the medical records of 320 consecutive adult patients with newly diagnosed AML treated with intensive induction chemotherapy in our center from 2007 to 2021. The median age was 56 years; 33 patients (10%) died during induction. Patient age, white blood cell count, hemoglobin level, platelet level, creatinine, uric acid, lactate dehydrogenase serum levels, and FLT3-ITD and CEBPA mutational status did not significantly impact early mortality. NPM1mut patients had a lower likelihood of early death compared to NPM1wt (5% versus 13%; p = 0.023) whereas patients with high-risk cytogenetic studies experienced higher rates of induction mortality compared with intermediate and favorable risk patients (20% versus 8 and 7%, respectively; p = 0.049). Adverse risk ELN 2017 was significantly more likely to die during induction compared with intermediate and favorable risk patients (20% versus 10 and 4%, respectively; p = 0.001). Patients treated in 2007-2011 experienced a significantly higher rate of induction death compared with patients in 2012-2021 (17% versus 8%; p = 0.039). Multivariate analysis confirmed adverse ELN 2017 [odds ratio (OR), 6.7; 95% confidence interval (CI), 1.74-25.3; p = 0.006) and treatment timeframe (OR, 0.35; 95% CI, 0.14-0.85; p = 0.019) as pivotal predictors of early mortality. ELN 2017 is a robust prognosticator of early mortality in intensively treated AML patients.

Exploring Popular Social Media Networks for Patients With Inflammatory Bowel Diseases: Insights for Better Care.

GOAL: The aim was to assess topics of interest and concerns among patients with inflammatory bowel diseases (IBD) who are active online. BACKGROUND: Social media (SM) networks are a major communication tool for patients with IBD and health care professionals. PATIENTS AND METHODS: We performed an anonymized investigation of SM networks for IBD patients; I-a thematic analysis of patients' posts, II-an online survey advertised through Facebook and other popular SM networks throughout November 2019. RESULTS: Analyzing 2133 posts (2014 to 2019) revealed 18 topics of interest. The online survey was completed by 534 respondents [63%-Crohn's disease, 56%-female, median age-38 years (interquartile range: 28.7 to 51.0)]. Most respondents (70%) were followed in referral centers, and 45% were receiving biological therapy. Respondents reported high satisfaction with IBD care and health care provider professionalism. The top 5 topics of interest were diet, lifestyle, complementary and alternative medicine, diagnostic test interpretation, and specialist referrals and reviews. Cluster analysis demonstrated that gender, income, and education level were associated with specific interest and concerns. CONCLUSION: Patients' activity on SM is independent of their satisfaction with formal IBD care and rather reflects an ongoing need for information and support. These needs may be addressed both in clinical settings and through online tools.

Acute Myeloid Leukemia Patients Requiring Two Cycles of Intensive Induction for Attainment of Remission Experience Inferior Survival Compared with Patients Requiring a Single Course of Induction Chemotherapy.

BACKGROUND: Achievement of initial remission remains the most important clinical factor predicting long term survival in acute myeloid leukemia (AML) patients treated with intensive chemotherapy. Yet, whether the patient subset in need of a second cycle of intensive induction chemotherapy to reach remission experiences inferior outcomes compared to patients reaching remission after a single cycle of therapy, remains uncertain. PATIENTS AND METHODS: Retrospective analysis of 302 consecutive AML patients treated with intensive induction chemotherapy in our institution in 2007-2020. RESULTS: Median patient age was 55 years with a median follow-up duration of 23 months. In terms of European LeukemiaNet (ELN) 2017 classification, 122 patients (40%) were designated as favorable risk disease, 108 patients (36%) were intermediate risk, and 71 patients (24%) were adverse risk. A hundred and seventy-seven patients (60%) attained remission following initial chemotherapy while 58 patients (20%) required an additional cycle of intensive chemotherapy for remission. Patients requiring 2 cycles to reach remission were less likely to be NPM1 mutated (33% versus 51%; P=.025) or be in the ELN 2017 favorable risk category (25% versus 57%; P<.001). In multivariate analysis achievement of remission following 2 cycles of intensive compared with a single cycle resulted in significantly inferior survival [hazard ratio (HR)=1.67, 95% CI, 1.07-2.59; P=.025] whereas leukemia-free survival was not significantly impacted (HR=1.26, 95% CI, 0.85-1.85) (P=.23). Relapse rates also did not differ to a significant degree between groups (45% versus 47%, P=.8). CONCLUSION: Attainment of an early remission significantly impacts long term survival in AML patients.