Decluttering the problem list in electronic health records.

PURPOSE: The purpose of this study was to evaluate the current state of problem list maintenance at an academic medical center. SUMMARY: We included problem list data for patients who had at least 2 face-to-face encounters at Vanderbilt University Medical Center or its clinics between January 1, 2018, and December 31, 2019. We used the frequency of problem list additions, resolutions, deletions, duplicate problems (exact and SNOMED CT duplicates), inconsistencies (contradicting stages of disease state), and items that could be documented elsewhere in the electronic health record as surrogate markers of problem list maintenance. Descriptive statistics were used to summarize the results. A total of 546,510 patients met inclusion criteria. There were 3,762 (0.7%) patients who had the exact same active problem listed more than once. SNOMED CT code duplications occurred in the records for 56,399 (10.5%) patients. Of the patients with asthma, 2.5% (223/8,779) had contradicting asthma stages active on their problem list, and 6.4% (950/14,950) of patients with chronic kidney disease (CKD) had contradicting CKD stages. In addition, 17,205 (3.1%) patients had 20,365 active family history problems and 39,464 (7.2%) patients had an allergy documented on their problem list. On average, there were 43.7 (95% confidence interval [CI], 14-73.4) additions, 8.7 (95% CI, 0.1-17.4) resolutions, and 2.1 (95% CI, 0-4.6) deletions of problems per 100 face-to-face encounters, inpatient or outpatient. CONCLUSION: Our study suggests areas for improvement for problem list maintenance. Further studies into semantic duplication and clinical decision support tools to encourage problem list maintenance and deduplication are needed.

openEHR Based Contextual Problem List.

The problem list is a key facet of the digital patient record that has historically been difficult to curate. This paper presents an implementation of a contextual problem list using openEHR. It describes the modelling approach, key model elements, and how these are assembled to underpin a Problem Oriented Medical Record. Finally, it discusses issues associated with how problem lists may be used.

Temporal Trends and Patient Characteristics Associated with 30-Day Hospital Readmission Rates after a First Acute Myocardial Infarction.

BACKGROUND: Limited data exist about relatively recent trends in the magnitude and characteristics of patients who are re-hospitalized after hospital admission for an acute myocardial infarction. This study examined trends in the frequency and sociodemographic and clinical characteristics of patients readmitted to the hospital within 30 days after an initial acute myocardial infarction. METHODS: We reviewed the medical records of 3116 individuals who were hospitalized for a validated first acute myocardial infarction in 6 study periods between 2003 and 2015 at the 3 major medical centers in central Massachusetts. RESULTS: The median age of our population was 67 years, and 42% were women. The risk of being readmitted to the hospital within 30 days after an initial acute myocardial infarction increased slightly during the most recent study years after controlling for potentially confounding factors. Overall, older adults and patients with previously diagnosed atrial fibrillation, heart failure, diabetes, chronic kidney disease, stroke, and peripheral vascular disease were at higher risk for being readmitted to the hospital than respective comparison groups. For those hospitalized in the most recent study years of 2011/2015, a higher risk of rehospitalization was associated with a previous diagnosis of chronic kidney disease, peripheral vascular disease, the presence of 3 or more chronic conditions, and having developed atrial fibrillation or heart failure during the patient's hospitalization for a first acute myocardial infarction. CONCLUSIONS: We identified several groups at higher risk for hospital readmission in whom enhanced surveillance efforts as well as tailored educational and treatment approaches remain needed.

Characterizing the Epidemiology and Provider Landscape of Male Infertility Care in the United States.

OBJECTIVE: To characterize the epidemiology of male factor infertility and identify which types of providers are treating infertile men in the United States. MATERIALS AND METHODS: The National Ambulatory Medical Care Survey was queried between 2006 and 2016 for all ambulatory care visits. Men with a diagnosis of infertility were identified by international classification of disease coding. Comorbidities, demographic and visit information were abstracted from the patients' medical record by a combination of trained surveyors and physicians. The survey data was weighted to create nationally representative estimates, and a combination of Chi-squared and Student's t-tests were utilized to determine significance. RESULT(S): Among the 8.7 billion patient visits between 2006 and 2016, there were 3,422,000 male encounters with a diagnosis of male factor infertility. The most common provider type for male factor infertility encounters was urology (42.12%) followed by primary care (39.79%), gynecology (7.05%) and all other provider types (11.01%). A significant number of men seen for infertility had comorbidities such as cancer (115,000 men, 3.36%) diabetes (267,000 men, 7.81%), depression (301,000 men, 8.8%), and active tobacco use (857,000 men, 30.3%). CONCLUSION: In a nationally representative sample, more than 50% of ambulatory care visits for male factor infertility were not seen by urologists. These men also had a significant number of comorbidities for a relatively young cohort, emphasizing the importance of multidisciplinary care for men with a diagnosis of infertility.

Utility of lung ultrasound to identify interstitial lung disease: An observational study based on the STROBE guidelines.

ABSTRACT: Lung ultrasound (LUS) has recently been used to identify interstitial lung disease (ILD). However, data on the role of LUS in the detection of ILD remain limited. The aim of this study was to investigate the diagnostic value of LUS compared with high-resolution computed tomography (HRCT) in patients with ILD.The retrospective study was carried out by reviewing the medical records of patients with respiratory signs and symptoms discharged from the respiratory ward. Only patients with suspected ILD who underwent HRCT and LUS within a week were selected. ILD was identified with a semi-quantitative score of B-lines >5 and a Warrick score >0 points. The endpoints of LUS in diagnosing ILD (i.e., sensitivity, specificity, positive likelihood ratio [PLR], negative likelihood ratio [NLR], positive predictive value [PPV], and negative predictive value [NPV], and receiver operating characteristic [ROC] curve) was compared with that of HRCT. The reference standard used for the diagnosis of ILD was based on history, clinical findings and examination, and laboratory and instrumental tests, including pulmonary function tests, lung histopathology, and HRCT (without LUS findings).The final clinical diagnosis of ILD was 55 in 66 patients with suspected ILD. HRCT was positive in 55 patients, whereas LUS detected ILD in 51 patients. Four patients with negative LUS findings were positive on HRCT. The results showed 93% sensitivity, 73% specificity, 3.40 PLR, 0.10 NLR, 94% PPV, and 67% NPV for LUS, whereas 100% sensitivity, 82% specificity, 5.49 PLR, 0.01 NLR, 97% PPV, and 100% NPV for HRCT. Comparison of the 2 ROC curves revealed significant difference in the diagnostic value of the 2 methods for the diagnosis of ILD (P = .048).Our results indicated that LUS is a useful technique to identify ILD. Considering its non-radiation, portable and non-invasive advantages, LUS should be recommended as a valuable screening tool in patients with suspected ILD.

Effects of antenatal care service utilization on maternal near miss in Gamo Gofa zone, southern Ethiopia: retrospective cohort study.

BACKGROUND: Antenatal care (ANC) provides an opportunity to prevent, identify and intervene maternal health problems. Maternal near miss (MNM), as an indicator of maternal health, is increasingly gaining global attention to measure these problems. However, little has been done to measure the effect of ANC on MNM in Ethiopia. Therefore, this study is aimed at determining the effect of ANC on MNM and its associated predictors at Gamo Gofa zone, southern Ethiopia. METHODS: Employing a retrospective cohort study design, 3 years data of 1440 pregnant mothers (480 ANC attendant and 960 non-attendant) were collected from all hospitals in the zone. Taking ANC visit as an exposure variable; we used a pretested checklist to extract relevant information from the study participants' medical records. Characteristics of study participants, their ANC attendance status, MNM rates and associated predictors were determined. RESULTS: Twenty-five (5.2%) ANC attendant and seventy-one (7.4%) non-attendant mothers experienced MNM, (X2 = 2,46, df = 2, p = 0.12). The incidence rates were 59.6 (95% CI: 40.6-88.2) and 86.1 (95%CI: 67.3-107.2)/1000 person-years for the ANC attendant and non-attendant mothers, respectively. Mothers who were living in rural areas had higher hazard ratio of experiencing MNM than those who were living in urban areas, with an adjusted hazard ratio (AHR) of 1.68 (95% CI, 1.01, 2.78). CONCLUSION: ANC attendance tended to reduce MNM. However, late initiation and loss to follow-up were higher in the current study. Therefore, on time initiation and consistent utilization of ANC are required.

Problemas clínicos en Micología Médica: problema número 55 / Clinical problems in Medical Mycology: problem number 55

Paciente de 31 años y sexo femenino que nació y vivió en la Ciudad Autónoma de Buenos Aires, Argentina, en vivienda con sanitarios completos y necesidades básicas satisfechas. Refirió haber realizado viajes a la costa atlántica (provincia de Buenos Aires). Fue fumadora de 10 cigarrillos al día desde los 18 hasta los 30 años. No consumía alcohol. Como antecedentes acerca de su estado de salud solo dijo haber padecido varicela en la infancia. Acudió a la consulta por disnea clase funcional II/III de 3 semanas de evolución y fiebre durante los últimos 3 días

A 31-year-old woman, with signs of HIV infection (oral thrush, weight loss, asthenia) presented to our hospital with dyspnea and fever. A rapid HIV test yielded a positive result, and cryptococcal capsular antigen was detected in serum. In the mycological study of the clinical respiratory samples, yeasts compatible with Cryptococcus were observed under light microscope in a wet mount; structures compatible with Pneumocystis jirovecii were also observed in Giemsa stain. Treatment for both pathologies was prescribed but, unfortunately, the patient died 7 days after. The finding of two etiologic agents in the same clinical picture is rare but not exceptional, and it always must be considered in immunocompromised hosts

Impact of a problem-oriented view on clinical data retrieval.

OBJECTIVE: The electronic health record (EHR) data deluge makes data retrieval more difficult, escalating cognitive load and exacerbating clinician burnout. New auto-summarization techniques are needed. The study goal was to determine if problem-oriented view (POV) auto-summaries improve data retrieval workflows. We hypothesized that POV users would perform tasks faster, make fewer errors, be more satisfied with EHR use, and experience less cognitive load as compared with users of the standard view (SV). METHODS: Simple data retrieval tasks were performed in an EHR simulation environment. A randomized block design was used. In the control group (SV), subjects retrieved lab results and medications by navigating to corresponding sections of the electronic record. In the intervention group (POV), subjects clicked on the name of the problem and immediately saw lab results and medications relevant to that problem. RESULTS: With POV, mean completion time was faster (173 seconds for POV vs 205 seconds for SV; P < .0001), the error rate was lower (3.4% for POV vs 7.7% for SV; P = .0010), user satisfaction was greater (System Usability Scale score 58.5 for POV vs 41.3 for SV; P < .0001), and cognitive task load was less (NASA Task Load Index score 0.72 for POV vs 0.99 for SV; P < .0001). DISCUSSION: The study demonstrates that using a problem-based auto-summary has a positive impact on 4 aspects of EHR data retrieval, including cognitive load. CONCLUSION: EHRs have brought on a data deluge, with increased cognitive load and physician burnout. To mitigate these increases, further development and implementation of auto-summarization functionality and the requisite knowledge base are needed.

Twenty-Year Experience of a Single Referral Center on Pediatric Familial Mediterranean Fever: What Has Changed Over the Last Decade?

BACKGROUND/OBJECTIVE: Familial Mediterranean fever (FMF) is the most common autoinflammatory disease and is characterized by recurrent fever and serositis episodes. We aimed to share our 20-year FMF experience, clarify a phenotype-genotype correlation, and compare the characteristics and outcomes of pediatric FMF patients over the last 2 decades in this study. METHODS: This medical record review study included 714 pediatric FMF patients (340 females, 374 males), diagnosed by Tel Hashomer diagnostic criteria between January 2009 and January 2019 and followed up in our department. Demographic and disease characteristics, obtained from medical records of the patients, were compared between patients with M694V homozygosity and other genotypes and showed whether they were diagnosed before (n = 137) or after January 2010 (n = 577). χ2, Student t, and Mann-Whitney U tests were used to compare categorical and continuous variables between these groups. RESULTS: The most common symptoms were abdominal pain (92%), fever (89.5%), and arthralgia (64.5%). Mean ages at symptom onset and diagnosis were 5.16 ± 3.73 and 7.71 ± 3.87 years, respectively. M694V homozygosity was recorded in 111 patients (15.5%). Fever, arthralgia, arthritis, myalgia, erysipela-like erythema, colchicine resistance, and subclinical inflammation were more frequent, and mean disease severity score was higher in patients with M694V homozygosity. Fever, chest pain, and proteinuria were statistically more frequent in patients diagnosed before January 2010. Although M694V homozygosity rate was similar, patients diagnosed in the last decade had lower mean disease severity score. CONCLUSIONS: With this study, we speculate that although genotype and delay in diagnosis were similar, patients diagnosed in the last decade have a milder disease severity.

Appropriateness of diagnosis and antibiotic use in sepsis patients admitted to a tertiary hospital in Indonesia.

OBJECTIVE: To evaluate the diagnostic and antibiotic treatment strategies for patients suspected of sepsis, in a tertiary hospital in Indonesia. This can identify areas for improvement in care provided, and inform diagnostic and antimicrobial stewardship activities within the hospital. METHODS: Retrospective review of medical records with regards to the diagnosis and management of adult patients with sepsis admitted to a tertiary hospital in Indonesia. We assessed the diagnostic process, and whether or not the antibiotic treatment provided was appropriate for the diagnosis. Appropriateness of antibiotic treatment was classified as being definite appropriate, probable appropriate, inappropriate, or unknown. RESULTS: The study included 535 adult patients, of whom 295 (55%) were diagnosed with a community-acquired sepsis, and 240 (45%) with a hospital-acquired sepsis. A specimen for culture and antimicrobial susceptibility testing was collected from three out of four patients (392/535). All but 10 patients had information on antibiotic treatment at the time of sepsis diagnosis. Of those, nearly 50% (257/525) of the patients received antibiotic treatment with unknown appropriateness because no cultures were taken (n = 141) or all cultures were negative (n = 116). Just 3.4% and 9.1% of the patients received definite or probable appropriate antibiotic treatment, respectively. CONCLUSIONS: There is a clear need in encouraging attending physicians to obtain the much-required blood cultures, or cultures from the suspected source of infection before empirical antibiotic treatment is started. This will improve the use of appropriate antibiotic treatment strategies, and contribute to antimicrobial stewardship.

Prevalence of suspected COVID-19 infection in patients from ethnic minority populations: a cross-sectional study in primary care.

BACKGROUND: The first wave of the London COVID-19 epidemic peaked in April 2020. Attention initially focused on severe presentations, intensive care capacity, and the timely supply of equipment. While general practice has seen a rapid uptake of technology to allow for virtual consultations, little is known about the pattern of suspected COVID-19 presentations in primary care. AIM: To quantify the prevalence and time course of clinically suspected COVID-19 presenting to general practices, to report the risk of suspected COVID-19 by ethnic group, and to identify whether differences by ethnicity can be explained by clinical data in the GP record. DESIGN AND SETTING: Cross-sectional study using anonymised data from the primary care records of approximately 1.2 million adults registered with 157 practices in four adjacent east London clinical commissioning groups. The study population includes 55% of people from ethnic minorities and is in the top decile of social deprivation in England. METHOD: Suspected COVID-19 cases were identified clinically and recorded using SNOMED codes. Explanatory variables included age, sex, self-reported ethnicity, and measures of social deprivation. Clinical factors included data on 16 long-term conditions, body mass index, and smoking status. RESULTS: GPs recorded 8985 suspected COVID-19 cases between 10 February and 30 April 2020.Univariate analysis showed a two-fold increase in the odds of suspected COVID-19 for South Asian and black adults compared with white adults. In a fully adjusted analysis that included clinical factors, South Asian patients had nearly twice the odds of suspected infection (odds ratio [OR] = 1.93, 95% confidence interval [CI] = 1.83 to 2.04). The OR for black patients was 1.47 (95% CI = 1.38 to 1.57). CONCLUSION: Using data from GP records, black and South Asian ethnicity remain as predictors of suspected COVID-19, with levels of risk similar to hospital admission reports. Further understanding of these differences requires social and occupational data.

Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs.

Background and purpose - Deep-learning approaches based on convolutional neural networks (CNNs) are gaining interest in the medical imaging field. We evaluated the diagnostic performance of a CNN to discriminate femoral neck fractures, trochanteric fractures, and non-fracture using antero-posterior (AP) and lateral hip radiographs. Patients and methods - 1,703 plain hip AP radiographs and 1,220 plain hip lateral radiographs were included in the total dataset. 150 images each of the AP and lateral views were separated out and the remainder of the dataset was used for training. The CNN made the diagnosis based on: (1) AP radiographs alone, (2) lateral radiographs alone, or (3) both AP and lateral radiographs combined. The diagnostic performance of the CNN was measured by the accuracy, recall, precision, and F1 score. We further compared the CNN's performance with that of orthopedic surgeons. Results - The average accuracy, recall, precision, and F1 score of the CNN based on both anteroposterior and lateral radiographs were 0.98, 0.98, 0.98, and 0.98, respectively. The accuracy of the CNN was comparable to, or statistically significantly better than, that of the orthopedic surgeons regardless of radiographic view used. In the CNN model, the accuracy of the diagnosis based on both views was significantly better than the lateral view alone and tended to be better than the AP view alone. Interpretation - The CNN exhibited comparable or superior performance to that of orthopedic surgeons to discriminate femoral neck fractures, trochanteric fractures, and non-fracture using both AP and lateral hip radiographs.

Characterizing outpatient problem list completeness and duplications in the electronic health record.

OBJECTIVE: The study sought to characterize rates of problem list completeness and duplications in common chronic diseases and to identify any relationships that they may have with respect to disease type, demographics, and disease severity. MATERIALS AND METHODS: We performed a retrospective analysis of electronic health record data from Partners HealthCare. We selected 8 common chronic diseases and identified patients with each of those diseases. We then analyzed each patient's problem list for completeness and duplications and also collected information regarding demographics and disease severity. Rates of completeness and duplications were calculated for each disease and compared according to disease type, demographics, and disease severity. RESULTS: A total of 327 695 unique patients and 383 404 problem list entries were identified. Problem list completeness varied from 72.9% in hypertension to 93.5% in asthma, whereas problem list duplications varied from 4.8% in hypertension to 28.2% in diabetes. There was a variable relationship between demographic factors and rates of completeness and duplication. Rates of completeness were positively correlated with disease severity for most diseases. Rates of duplication were consistently positively correlated with disease severity. CONCLUSIONS: Incompleteness and duplications are both important issues in problem lists. These issues vary widely across different diseases and can also be impacted by patient demographics and disease severity. Further studies are needed to investigate the effect of individual user behaviors and organizational policies on problem list utilization, which will aid the development of interventions that improve the utility of problem lists.

A Clinical Prediction Model of Medication Adherence in Hypertensive Patients in a Chinese Community Hospital in Beijing.

BACKGROUND: Hypertension remains a global health problem. Since, there is a significant positive correlation between antihypertensive medication adherence and blood pressure control, it is therefore of great importance to elucidate the determinants of adherence to antihypertensive medications among hypertensive patients. METHODS: Hereby, we retrospectively analyzed the medical records of a hypertensive cohort recruited from a community hospital in Beijing, China, to investigate the factors affecting adherence to antihypertensive medications using decision trees. In addition, all data were assigned into a training set (75%) and testing set (25%) by the random number seed method to build and validate a compliance predictive model. We identified that how many times patients became nonadherent to antihypertensive medications in the year before the first prescription, types of antihypertensive drugs used in the year before the first prescription, body weight, smoking history, total number of hospital visits in the past year, total number of days of medication use in the year before enrollment, age, total number of outpatient follow-ups in the year after the first prescription, and concurrent diabetes greatly affected the compliance to antihypertensive medications. RESULTS: The compliance predictive model we built showed a 0.78 sensitivity and 0.69 specificity for the prediction of the compliance to antihypertensive medications, with an area under the representative operating characteristics curve of 0.810. CONCLUSIONS: Our data provide new insights into the improvements of the compliance to antihypertensive medications, which is beneficial for the management of hypertension, and the compliance predictive model may be used in community-based hypertension management.

Factors Influencing Problem List Use in Electronic Health Records-Application of the Unified Theory of Acceptance and Use of Technology.

BACKGROUND: Problem-oriented electronic health record (EHR) systems can help physicians to track a patient's status and progress, and organize clinical documentation, which could help improving quality of clinical data and enable data reuse. The problem list is central in a problem-oriented medical record. However, current problem lists remain incomplete because of the lack of end-user training and inaccurate content of underlying terminologies. This leads to modifications of diagnosis code descriptions and use of free-text notes, limiting reuse of data. OBJECTIVES: We aimed to investigate factors that influence acceptance and actual use of the problem list, and used these to propose recommendations, to increase the value of problem lists for (re)use. METHODS: Semistructured interviews were conducted with physicians, heads of medical departments, and data quality experts, who were invited through snowball sampling. The interviews were transcribed and coded. Comments were fitted in constructs of the validated framework unified theory of acceptance user technology (UTAUT), and were discussed in terms of facilitators and barriers. RESULTS: In total, 24 interviews were conducted. We found large variability in attitudes toward problem list use. Barriers included uncertainty about the responsibility for maintaining the problem list and little perceived benefits. Facilitators included the (re)design of policies, improved (peer-to-peer) training to increase motivation, and positive peer feedback and monitoring. Motivation is best increased through sharing benefits relevant in the care process, such as providing overview, timely generation of discharge or referral letters, and reuse of data. Furthermore, content of the underlying terminology should be improved and the problem list should be better presented in the EHR system. CONCLUSION: To let physicians accept and use the problem list, policies and guidelines should be redesigned, and prioritized by supervising staff. Additionally, peer-to-peer training on the benefits of using the problem list is needed.

Association of Arterial Stiffness With Kidney Function Among Adults Without Chronic Kidney Disease.

BACKGROUND: Our aims were to assess whether arterial stiffness is associated with a higher risk for kidney dysfunction among persons without chronic kidney disease (CKD). METHODS: We analyzed data from the national health checkup system in Japan; for our analyses, we selected records of individuals who completed assessments of cardio-ankle vascular index (CAVI) and kidney function from 2005 to 2016. We excluded participants who had CKD at baseline, defined as the presence of proteinuria or estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2. We compared 2 groups of CAVI measurements-the highest quartile (≧8.1) and the combined lower 3 quartiles (<8.1). We used Cox proportional hazards models to assess associations between these 2 groups and subsequent CKD events, proteinuria, eGFR <60 ml/min/1.73 m2, and rapid eGFR decline (greater than or equal to -3 ml/min/1.73 m2 per year). RESULTS: The mean age of the 24,297 included participants was 46.2 years, and 60% were female. Over a mean follow-up of 3.1 years, 1,435 CKD events occurred. In a multivariable analysis, the hazard ratios with 95% confidence intervals (CIs) for the highest vs. combined lower quartiles of CAVI measurements were 1.3 (1.1, 1.5) for CKD events, 1.3 (0.96, 1.62) for proteinuria, 1.4 (1.1, 1.7) for eGFR <60 ml/min/1.73 m2, and the odds ratio with 95% CI was 1.3 (1.1, 1.4) for rapid eGFR decline. CONCLUSIONS: Persons with CAVI measurements ≧8.1 had a higher risk for CKD events compared with their counterparts with CAVI measurements <8.1. Greater arterial stiffness among adults without CKD may be associated with kidney dysfunction.

Opportunities to diagnose fibrotic lung diseases in routine care: A primary care cohort study.

BACKGROUND AND OBJECTIVE: Temporal trends of healthcare use in the period before a diagnosis of pulmonary fibrosis are poorly understood. We investigated trends in respiratory symptoms and LR HRU in the 10 years prior to diagnosis. METHODS: We analysed a primary care clinical cohort database (UK OPCRD) and assessed patients aged ≥40 years who had an electronically coded diagnosis of pulmonary fibrosis between 2005 and 2015 and a minimum 2 years of continuous medical records prior to diagnosis. Exclusion criteria consisted of electronic codes for recognized causes of pulmonary fibrosis such as CTD, sarcoidosis or EAA. RESULTS: Data for 2223 patients were assessed. Over the 10 years prior to diagnosis of pulmonary fibrosis, there was a progressive increase in HRU across multiple LR-related domains. Five years before diagnosis, 18% of patients had multiple healthcare contacts for LR complaints; this increased to 79% in the year before diagnosis, with 38% of patients having five or more healthcare contacts. CONCLUSION: There are opportunities to diagnose pulmonary fibrosis at an earlier stage; research into case-finding algorithms and strategies to educate primary care physicians is required.

Problems with the problem list: challenges of transparency in an era of patient curation.

In recent years, the OpenNotes movement and other changes in healthcare have driven institutions to make medical records increasingly transparent. As patients have begun to question and request changes to their Problem Lists, clinicians have come to face the ever more frequent challenge of discerning which changes to make and which to refuse. Now clinicians and patients together choose the list of problems that represent the patient's current state of health and illness. As the physician's role slides closer to consultant and the medical paternalism of the twentieth century falls further into the background of our technology-infused present, who holds the power of delineating a patient's clinical identity? This paper examines the ethical and practical dimensions of this question and proposes a research agenda that aims to answer it. Such explorations are essential to ensuring that the physician remains relevant to patient's notions of health, illness, intervention, and healing.

The impact of concurrent Hashimoto thyroiditis on thyroid nodule cytopathology assessed by ultrasound-guided fine-needle aspiration cytology.

Objective: Thyroid nodules are highly prevalent and a common clinical problem worldwide. How to identify the nature of a nodule is a major concern of clinicians. Fine needle aspiration cytology (FNAC) has an established role and is well-utilized in nodule management. However, the unsatisfactory nondiagnostic and indeterminate rates limit its usage and lead to some unnecessary surgery. Hashimoto thyroiditis (HT) is prevalently found concurrent with thyroid nodules. Whether HT can influence the accuracy of cytopathological diagnosis of nodules is still controversial. Methods: We collected medical records of 1,063 patients with thyroid nodules who had done FNAC in our hospital from 2015 to 2016. Thyroid function, anti-thyroid autoantibody levels, thyroid ultrasound records, and cytological and histopathological results of nodules were reviewed to analyze the impact of HT on FNAC outcome. Results: A total of 1,063 patients with an average age of 44 ± 13 years old were retrospectively reviewed for pathological and clinical data. Patients with different cytological diagnoses had comparable positive rates of anti-thyroid autoantibodies. One hundred patients were confirmed to have concurrent HT by histopathology after surgery. The overall nondiagnostic and indeterminate cytology rates were 11.9% and 25% respectively. No statistical difference was found either in the rate of a nondiagnostic cytology results or in the rate of indeterminate cytology results between patients with positive anti-thyroid autoantibodies and patients with negative test for anti-thyroid autoantibodies (P > 0.05). The same was true between patients with histopathologically confirmed HT and HT-negative ones (P > 0.05). Conclusions: The presence of concurrent HT, whether clinically implied with positive anti-thyroid autoantibodies or pathologically confirmed, is unlikely to predispose an FNAC diagnosis of thyroid nodules to be non-diagnostic or indeterminate.