Treatment Decisions Research Articles

EMERGENCY ESOPHAGECTOMY FOR ESOPHAGEAL PERFORATION FOLLOWING BALLOON DILATION DUE TO STENOSIS POST-ENDOSCOPIC SUBMUCOSAL DISSECTION FOR ESOPHAGEAL CANCER: A CASE REPORT

Introduction and importance: Esophageal perforation from endoscopic dilation is rare (0.53% to 0.6% incidence) but serious, with mortality rates of 12.5% to 20%. Optimal treatment is debated and depends on the medical facility’s capabilities, patient’s symptoms, extent of perforation, and severity of associated lesions. Treatment options include medical management (fasting, antibiotics), esophageal stenting, surgical closure, or emergency esophagectomy. Early diagnosis and treatment are crucial to reduce mortality and hospital stay. Case presentation: A 49-year-old male with lower third esophageal cancer (stage cT1aN0M0) underwent endoscopic submucosal dissection (ESD) and developed esophageal stenosis. Dilation attempts led to esophageal perforation, necessitating emergency esophagectomy with gastric conduit reconstruction. The patient improved and was discharged on day 10 post-operation without complications. Clinical discussion: Managing esophageal perforation post-endoscopic dilation is complex. This case highlights the importance of rapid recognition and intervention. Esophageal dilation, while effective for stenosis, carries a perforation risk. Treatment decisions must be tailored to individual patients, considering perforation severity, patient’s health, and facility resources. Here, severe perforation and clinical condition warranted emergency esophagectomy. The successful outcome underscores the efficacy of this surgical intervention when performed timely at specialized centers. Conclusion: Emergency esophagectomy with gastric conduit reconstruction for treating esophageal perforation due to stenosis post endoscopic submucosal dissection for esophageal cancer is considered a safe procedure and can be performed at an experienced esophageal surgery center.

Interpretation of SD-OCT imaging data in real-life conditions versus standardized reading centre analysis in eyes with diabetic macular oedema or macular oedema secondary to retinal vein occlusion: 24-month follow-up of the ORCA study.

As part of the prospective, non-interventional OCEAN study, the ORCA module evaluated physicians' spectral domain optical coherence tomography (SD-OCT) image interpretations in the treatment of diabetic macular oedema (DME) or macular oedema (ME) secondary to retinal vein occlusion (RVO). Presence of intraretinal fluid (IRF) and/or subretinal fluid (SRF) was evaluated independently by physicians and reading centres (RCs) on 1612 SD-OCT scans of 133 patients diagnosed with either DME or ME secondary to RVO. Agreement between physicians and RCs was calculated for both cohorts individually and as a combined ME cohort. Physicians' treatment decisions were analysed related to the results of the OCT-evaluations. For the combined ME cohort, presence of IRF/SRF was recorded by RCs in 792/1612 (49.1%) visits and by physicians in 852/1612 (52.9%) visits, with an agreement regarding presence or absence of foveal fluid in 70.4% of cases. In 64.4% (510/792) of visits with RC-detected foveal IRF and/or SRF no injection was given. In 30.3% of these visits with foveal fluid no reason was identified for a 'watch and wait' approach indicating possible undertreatment. BCVA deterioration was seen in a quarter of these eyes at the following visit. Despite good agreement between physicians and RCs to recognize SRF and IRF, our data indicate that omitting injections despite foveal involvement of fluid is frequent in routine clinical practice. This may put patients at risk of undertreatment, which may negatively impact real-life BCVA outcomes. www. gov , identifier NCT02194803.

Endoscopic Submucosal Dissection for Early Gastric Cancer Exceeding Expanded Criteria—Long-Term Outcomes from the German ESD Registry

Background and aims: Endoscopic submucosal dissection (ESD) has become a standard treatment for early gastric cancer (EGC), often fulfilling guideline criteria (GC) or expanded criteria (EC). When lesions exceed the EC, surgical resection is recommended. However, a subgroup of these patients are not treated surgically. The aim of this study was to investigate the long-term follow-up of patients after ESD for EGC outside the EC (out of indication; OI). Methods: Patients who were included in the prospective German ESD registry were analyzed when ESD was performed for EGC. Patients were stratified in three groups according to histopathological features (GC, EC and OI). The results were evaluated in terms of patient characteristics, procedure characteristics and follow-up data. Results: Over a 48-month period, 195 patients from 14 German centers were included. In total, 71 lesions (36.4%) met the guideline criteria, 70 lesions (35.9%) corresponded to the expanded criteria and 54 lesions (27.7%) turned out to be OI. The R0 resection rate was significantly higher for the GC and EC groups than for the OI group (94.4% vs. 84.3% vs. 55.6%, p < 0.001). Additional surgery was not performed in 72% (39/54) of patients in the OI group. During a mean follow-up of 37 months, overall survival showed no significant difference between the EC and OI groups when endoscopic follow-up was performed without additional surgery (p = 0.064). Conclusions: The results show that a good long-term survival can be achieved after ESD for patients with OI lesions without additional surgery. The treatment decision has to be made on an individual basis, taking the patient’s comorbidities and the risk of surgical resection into account.

Exploring How Values of Colorectal Cancer Patients and their Caregivers Influence Treatment Decision-Making.

As we adopt value models to inform drug reimbursement, coverage, clinical trials, and treatment choices, aligning these models to reflect patient values and preferences becomes increasingly relevant. In this study, we focus on colorectal cancer (CRC), which is highly prevalent and a leading cause of death in Canada, and new drug treatment options are costly. The aim of this study was to understand how the values and experiences of people with CRC and their caregivers inform their perspectives about new and emerging colorectal cancer drug treatments. We applied qualitative methods to identify key personal, social, and system factors about how the values of people with CRC and their caregivers' values influence their treatment decision-making in a more holistic manner. Canadian adults (>18 years) living with non-metastatic or metastatic CRC and caregivers were recruited from oncology clinics and Colorectal Cancer Canada (CCC) using purposive sampling. Participants engaged in structured interviews by telephone. Interviews were transcribed verbatim and analyzed thematically guided by a qualitative phenomenological approach and Sherwin's ethical theory of relational autonomy using NVivo software. We conducted structured interviews with 12 people with CRC and six of their caregivers, and elicited patient and caregiver values and their influence on treatment decision-making context of key personal, social, and system factors. Thematic analysis of transcripts led to the development of four overarching and intersecting themes that were identified as influencing people with CRC and their caregivers' treatment decision-making: treatment outcomes and effectiveness, intrapersonal and interpersonal factors, quality of life, and survivorship and prognosis. Our findings suggest intersecting influences of patient-, community-, and social network-, and systemic-level factors that influence patients' decisions on treatment. Perceived clinical benefit, requirements of treatment, available information, the impact of treatment on social relationships and daily life, and the impact of social support were key factors described by participants. To our knowledge, this is the first study to utilize the theory of relational autonomy to understand patient and caregiver values in the context of treatment decisions in CRC. Using these findings, a continued exploration of people with CRC's values in treatment decision-making and how much patients value or weight the different aspects of treatment would help further advance patient care and guide healthcare system decision-making.

Prognostic Significance of Human Papillomavirus Genotypes in Oropharyngeal Squamous Cell Carcinoma.

The prognostic significance of human papillomavirus (HPV) genotypes in oropharyngeal squamous cell carcinoma (OPSCC) has garnered considerable attention due to the increasing reliance on HPV status for clinical decision-making. This study aimed to compare the survival outcomes associated with different HPV genotypes in patients with OPSCC relative to HPV-negative tumors, providing insights into the potential implications for treatment de-intensification strategies. Patients diagnosed with invasive OPSCC were included from the National Cancer Database (NCDB). Patients were stratified based on HPV status and genotype, with HPV-negative tumors serving as the reference group. Multivariable Cox regression analysis was performed to assess the independent prognostic value of different HPV genotypes. Th majority of patient were classified as HPV-positive (N = 17,358, 70.0%), with HPV 16 being the most common genotype (N = 15410/17358, 88.8%) compared with other high-risk (N = 1217/17,358, 7.0%) and low-risk (N = 731/17,358, 4.2%) HPV genotypes. A significantly lower risk of death was measured for all HPV-positive compared with HPV-negative tumors (HPV 16: adjusted HR 0.51; 95% CI: 0.49-0.54; other high-risk HPV: adjusted HR 0.56; 95% CI: 0.49-0.63; low-risk HPV: adjusted HR 0.59; 95% CI: 0.50-0.68; p < 0.001). This study highlights the significant prognostic value of HPV genotypes in OPSCC, underscoring the superior survival outcomes of HPV-positive tumors across all genotypes compared with HPV-negative tumors. Detailed HPV subtype analysis can inform better treatment decisions and support de-intensification strategies for patients with low-risk genotypes. 3 Laryngoscope, 2024.

Navigating the complexities of post-traumatic stress disorder and its variants

SUMMARY In this issue of BJPsych Advances Siddaway explores the challenges of assessing and treating post-traumatic stress disorder (PTSD) and complex PTSD. In this commentary I reflect on those challenges, not least of which is the need for a thorough understanding of different approaches to diagnoses. The very concept of diagnostic classification systems can be problematic, but when used sensitively they can aid communication, assessment and treatment. The relatively new diagnosis of complex PTSD may serve as a more accurate and more useful description of some psychological difficulties, leading to better treatment decisions. Good assessment, leading to accurate diagnosis, useful formulation and effective treatment takes time, and adequate resources should be allocated. Professionals can help patients to make well-informed choices about treatment options and they should offer evidence-based treatments without unnecessary delay.

Risk of Bleeding in Essential Thrombocythemia Patients with Extreme Thrombocytosis.

About 25% of essential thrombocythemia (ET) patients present with extreme thrombocytosis (ExT), defined as having a platelet count ≥1000 x 10^9/L. ExT patients may have an increased bleeding risk associated with acquired von Willebrand syndrome. We retrospectively analyzed the risk of bleeding and thrombosis in ExT vs. non-ExT ET patients at Dana Farber Cancer Institute and Massachusetts General Hospital from 2014-2022 to inform treatment decisions. We abstracted the first major bleed, clinically relevant non-major bleed (CRNMB), and thrombotic event from medical records. We identified 128 (28%) ExT patients and 323 (72%) non-ExT patients. Cumulative incidence of bleeding was not different in ExT vs. non-ExT patients (21% vs. 13%, p=0.28 for major bleed; 16% vs. 15%, p=0.50 for CRNMB). Very low and low thrombotic risk ExT patients were more likely to be cytoreduced compared to very low and low risk non-ExT patients (69% vs. 50%, p=0.060 for very low risk; 83% vs. 53%, p=0.0059 for low risk). However, we found no differences in bleeding between ExT and non-ExT patients when restricting the risk of bleed from diagnosis to cytoreduction start date (28% vs. 19%, p=0.29 for major bleed; 24% vs. 22%, p=0.75 for CRNMB). Cumulative incidence of thrombosis was also not different between ExT and non-ExT patients (28% vs. 25%, p=0.98). This suggests that cytoreduction may not be necessary to reduce bleeding risk based only on a platelet count of 1 million. We identified novel risk factors for bleeding in ET patients including diabetes mellitus and the DNMT3A mutation.

Distinguishing Traditional and Internal Craze Lines in Human Enamel

Objectives: This study aims to introduce and differentiate between traditional craze lines and a newly identified type of line in enamel, termed an “internal craze line.” This novel classification enhances diagnostic precision and carries significant clinical implications for treatment strategies. The goal is to provide a clear description of these two types of lines, discuss their unique clinical implications, and highlight their differing appearances and staining characteristics, contributing to improved understanding and management of enamel anomalies. Method and materials: Four extracted teeth exhibiting visible and internal craze lines were selected and examined using a stereo microscope to observe the structural characteristics of the lines. Cross-sections of the coronal parts of the teeth were prepared to document the differences between traditional craze lines (extending from the dentin-enamel junction [DEJ] to the enamel surface) and internal craze lines (originating at the DEJ but terminating midway through the enamel). Additionally, intraoral observations were conducted under high magnification to identify the visual differences between the two types of lines, noting that traditional craze lines can be stained while internal craze lines cannot. Results: Microscopic examination revealed two distinct types of lines: traditional craze lines extending from the DEJ to the enamel surface and internal craze lines terminating within the enamel. Intraoral observations confirmed that these lines could be distinguished under high magnification. Traditional craze lines appear as continuous lines reaching the enamel surface and can be stained, whereas internal craze lines are shorter, do not extend to the surface, and cannot be stained. Conclusion: The identification of internal craze lines presents significant clinical implications. Differentiating between traditional and internal craze lines can enhance diagnostic accuracy and inform treatment decisions. Recognizing internal craze lines might indicate different etiologies or risk profiles compared to traditional craze lines, influencing preventive and therapeutic strategies in dental practice. Further research is needed to explore the prevalence, causes, and long-term impacts of internal craze lines.

Opportunity and Opportunism in Artificial-Intelligence-Powered Data Extraction: A Value-Centered Approach.

Radiologists' traditional role in the diagnostic process is to respond to specific clinical questions and reduce uncertainty enough to permit treatment decisions. This charge is rapidly evolving due to forces such as artificial intelligence [AI], big data [opportunistic imaging, imaging prognostication], and advanced diagnostic technologies. A new "modernistic" paradigm is emerging whereby radiologists, in conjunction with computer algorithms, will be tasked with extracting as much information from imaging data as possible, often without a specific clinical question being posed and independent of any stated clinical need. In addition, AI algorithms are increasingly able to predict long-term outcomes using data from seemingly normal examinations, enabling AI-assisted prognostication. As these algorithms become a standard component of radiology practice, the sheer amount of information they demand will increase the need for streamlined workflows, communication, and data management techniques. In addition, the provision of such information raises reimbursement, liability, and access issues. Guidelines will be needed to ensure all patients have access to the benefits of this new technology and guarantee mined data do not inadvertently create harm. In this article, we discuss challenges and opportunities relevant to radiologists in this changing landscape, with an emphasis on ensuring that radiologists provide high-value care.

Real-world response assessment of immune checkpoint inhibition: comparing iRECIST and RECIST 1.1 in melanoma and non-small cell lung cancer patients.

To compare immune response evaluation criteria in solid tumors (iRECIST) and response evaluation criteria in solid tumors (RECIST) 1.1 for response assessment of immune checkpoint inhibitor (ICI) therapy in a real-world setting in patients with melanoma and non-small cell lung cancer (NSCLC). Two-hundred fifty-two patients with melanoma and NSCLC who received CTLA-4 inhibitor ipilimumab or PD-1 inhibitors nivolumab or pembrolizumab and who underwent staging CT of the chest and abdomen were retrospectively included. Treatment response evaluation according to the RECIST 1.1 and iRECIST guidelines was performed for all patients. Response patterns, as well as overall response rate (ORR), disease control rate (DCR), and time to progression (TTP), were compared between RECIST 1.1 and iRECIST. Out of 143 patients with progressive disease (PD) according to RECIST 1.1, 48 (33.6%) did not attain confirmation of progression (iCPD) as per iRECIST and six patients who were treated beyond RECIST 1.1 progression reached PD at a later point in time in iRECIST, resulting in a significant difference in TTP between iRECIST and RECIST 1.1 (618.3 ± 626.9 days vs. 538.1 ± 617.9 days, respectively (p < 0.05)). The number of non-responders as per RECIST 1.1 was 79, whereas it was 60 when using iRECIST. ORR was 28.5% for RECIST 1.1 and 34.1% for iRECIST, and corresponding DCR of 67.4% for RECIST 1.1 and 74.6% for iRECIST. iRECIST was more suitable than RECIST 1.1 for capturing atypical response patterns to ICI therapy in patients with melanoma and NSCLC, resulting in differences in the assessment of treatment response. Compared to RECIST 1.1, iRECIST may improve patient care and treatment decisions for patients with NSCLC or melanoma who are treated with immune checkpoint inhibitors in clinical routine. RECIST 1.1 may incorrectly assess atypical treatment patterns to immune checkpoint inhibitors. iRECIST better captured atypical response patterns compared to RECIST 1.1. iRECIST was more suitable for assessing response to immune checkpoint inhibitors in non-small cell lung carcinoma and melanoma.

Prediction model for poor short-term prognosis in patients with chronic subdural hematoma after burr hole drainage: a retrospective cohort study.

Chronic subdural hematoma (CSDH) is a common condition in neurosurgery. With an aging population, there is increasing attention on the prognosis of patients following surgical intervention. We developed a postoperative short-term prognostic prediction model using preoperative clinical indicators, aiming to assist in perioperative medical decision-making and management. The dataset was randomly divided into training and validation cohorts. An mRS score greater than 2 one month after discharge was considered indicative of a poor prognosis. In the training cohort, the least absolute shrinkage and selection operator (LASSO) regression analysis was used for multivariate analysis to identify independent risk factors and construct a prediction nomogram for poor prognosis one month after discharge. The performance of the nomogram was assessed using the Receiver Operating Characteristic (ROC) curve and calibration curve. A Decision Curve Analysis (DCA) was also conducted to determine the net benefit threshold of the prediction model. Among the 505 participants, 18.8% (95/505) had a poor prognosis one month after discharge. The baseline characteristics did not significantly differ between the training cohort and the validation cohort. LASSO regression analysis in the training cohort reduced the predictors to four potential factors. Further multivariate logistic analyses in the training cohort identified four independent predictors: age, admission Glasgow Coma Scale (GCS) score, hemiparesis, and hemoglobin count. These predictors were incorporated into the nomogram prediction model. Internal validation using ROC analysis, calibration curves, and other methods demonstrated a strong correlation between the observed and predicted likelihood of poor prognosis one month after discharge. The visualized nomogram prediction model we developed for short-term postoperative prognosis of chronic subdural hematoma after burr hole drainage aids in predicting short-term outcomes and guiding clinical treatment decisions. Further external validation is needed in the future to confirm its effectiveness.

Prognostication in Epilepsy with Integrated Analysis of Blood Parameters and Clinical Data

Background/Objectives: Determining the outcome of epilepsy is crucial for making proactive and timely treatment decisions and for counseling patients. Recent research efforts have focused on using various imaging techniques and EEG for prognostication; however, there is insufficient evidence regarding the role of blood parameters. Our study aimed to investigate the additional prognostic value of routine blood parameters in predicting epilepsy outcomes. Methods: We analyzed data from 1782 patients who underwent routine blood tests within 90 days of their first visit and had a minimum follow-up duration of three years. The etiological types were structural (35.1%), genetic (14.2%), immune (4.7%), infectious (2.9%), and unknown (42.6%). The outcome was defined as the presence of seizures in the last year. Results: Initially, a multivariate analysis was conducted based on clinical variables, MRI data, and EEG data. This analysis revealed that sex, age of onset, referred cases, epileptiform discharge, structural etiology, and the number of antiseizure medications were related to the outcome, with an area under the curve (AUC) of 0.705. Among the blood parameters, fibrinogen, bilirubin, uric acid, and aPTT were significant, with AUCs of 0.602, 0.597, 0.455, and 0.549, respectively. Including these blood parameters in the analysis slightly improved the AUC to 0.710. Conclusions: Some blood parameters were found to be related to the final outcome, potentially paving the way to understanding the mechanisms of epileptogenesis and drug resistance.

Comprehensive Geriatric Assessment, Treatment Decisions, and Outcomes in Older Patients Eligible for Pancreatic Surgery.

Periampullary cancer has a poor prognosis. Surgical resection is a potentially curative but high-risk treatment. Comprehensive geriatric assessment (CGA) can inform treatment decisions, but has not yet been evaluated in older patients eligible for pancreatic surgery. This prospective observational study included patients ≥ 70 years of age eligible for pancreatic surgery. Frailty was defined as impairment in at least two of five domains: somatic, psychological, functional, nutritional, and social. Outcomes included postoperative complications, functional decline, and mortality. Of the 88 patients included, 87 had a complete CGA. Sixty-five patients (75%) were frail and 22 (25%) were non-frail. Frail patients were more likely to receive nonsurgical treatment (43.1% vs. 9.1% p = 0.004). Fifty-seven patients underwent surgery, of which 52 (59%) underwent pancreaticoduodenectomy. The incidence of postoperative delirium was three times higher in frail patients (29.7% vs. 0%, p = 0.005). The risk of mortality was three times higher in frail patients (HR: 3.36, 95% CI: 1.43-7.89, p = 0.006). Frailty is common in older patients eligible for pancreatic surgery and is associated with treatment decision, a higher incidence of delirium and a three times higher risk of all-cause mortality. CGA can contribute to shared decision-making and optimize perioperative care in older patients.

Impact of an online decision support tool for ductal carcinoma in situ (DCIS) using a pre-post design (AFT-25)

BackgroundThe heterogeneous biology of ductal carcinoma in situ (DCIS), as well as the variable outcomes, in the setting of numerous treatment options have led to prognostic uncertainty. Consequently, making treatment decisions is challenging and necessitates involved communication between patient and provider about the risks and benefits. We developed and investigated an interactive decision support tool (DST) designed to improve communication of treatment options and related long-term risks for individuals diagnosed with DCIS.FindingsThe DST was developed for use by individuals aged > 40 years with DCIS and is based on a disease simulation model that integrates empirical data and clinical characteristics to predict patient-specific impacts of six DCIS treatment choices. Personalized risk predictions for each treatment option were communicated using icon arrays and percentages for each outcome. Users of the DST were asked before and after interacting with the DST about: (1) awareness of DCIS treatment options, (2) willingness to consider these options, (3) knowledge of risks associated with DCIS, and (4) helpfulness of the DST. Data were collected from January 2019 to April 2022. Users’ median estimated risk of dying from DCIS in 10 years decreased from 9% pre-tool to 3% post-tool (p < 0.0001). 76% (n = 101/132) found the tool helpful.ConclusionsInformation about DCIS treatment options and related risk predictions was effectively communicated, and a large majority participants found the DST to be helpful. Successfully informing patients about their treatment options and how their individual risks affect those options is a critical step in the decision-making process.Clinicaltrials.gov Identifier NCT02926911.

Pediatric Necrotizing Otitis Externa: A Scoping Review.

This review sought to answer the following research question: What are the characteristics of pediatric necrotizing otitis externa (NOE)? Moreover, we wanted to highlight the clinical importance of the current limitations in the literature. A scoping review was performed to determine what is known about NOE in the pediatric population. Four databases (COCHRANE Library, CINAHL, PubMed, and Scopus) were queried for articles published in English between 1976 to 2022. Variables extracted included comorbidities, demographics, outcomes, and treatment. A total of 20 studies (N = 439) reported sufficient measures to be included in the review. Patients with NOE had a mean age of 10.0 years (range 2 months to 14 years) with a male-to-female gender ratio of 1.1:1. Mean length of hospital stay was 2.9 days (95%CI: 2.7-3.0). Demographics included 45.4% Caucasian, 6.0% African American, and 2.7% Asian/Pacific Islander. Less than 5% of patients had diabetes, while other reported comorbidities included neutropenia (n = 6), anemia (n = 5), dehydration/malnutrition (n = 4), Stevens Johnson Syndrome (n = 2), some form of immunosuppression/organ transplantation (n = 2), thrombocytopenia (n = 2), and leukopenia (n = 2). There have been no reported deaths from NOE in children. In the adult population NOE most commonly affects patients with diabetes, but our review reveals that diabetes does not appear to play as big a role in children. The disease seems to commonly affect patients with immunosuppression or severe health conditions. Complications such as cranial nerve palsies appear to be more common in the pediatric population. Specifically, the role of biopsy and culture in the treatment of pediatric NOE is stressed as they are important in treatment decisions.

Comparison of Patient Reported Outcomes between Active surveillance and Immediate Lobectomy in Patients with Low-risk Papillary Thyroid Microcarcinoma: Initial Findings from the KoMPASS cohort.

Patients diagnosed with low-risk papillary thyroid microcarcinoma (PTMC) face the decision between thyroid lobectomy and active surveillance (AS). This study aimed to investigate the factors influencing treatment decisions in low-risk PTMC and to compare the quality of life (QoL) according to the treatment plan. The multicenter prospective cohort study comparing AS and thyroid lobectomy was conducted. Clinical characteristics were compared between the AS and Lobectomy groups. QoL questionnaires were administered every 6 months in the initial year and annually thereafter. A total of 927 patients (453 in the AS group and 474 in the Lobectomy group) with low-risk PTMC were included in this study. The mean age was 47.4 ± 12.2 years, and 72.2% of the patients were women. Older age (odd ratio [OR] 1.04, 95% confidence interval [CI] 1.02 - 1.05, p <0.001), smaller tumor size (OR 0.78, 95% CI 0.69 - 0.87, p <0.001), family history of thyroid cancer (OR 1.48, 95% CI 1.03 - 2.12, p = 0.035), prior awareness of AS (OR 1.53, 95% CI 1.16 - 2.02, p = 0.003), and higher income (OR 1.79, 95% CI 1.13 - 2.83, p = 0.013) were significantly associated with a higher likelihood of choosing AS. The median follow-up was 27.3 months (23.9 - 43.9) in the AS group and 28.7 months (20.4 - 44.5) in the Lobectomy group. During the follow-up period, the AS group showed significantly better QoL scores compared to the Lobectomy group (β 0.17, 95% CI 0.02 - 0.33, p = 0.029). Although baseline QoL scores favored the AS group significantly (7.1 ± 1.2 vs. 6.7 ± 1.2, p < 0.001), no significant difference was observed after 12 months (7.2 ± 1.2 vs. 7.1 ± 1.2, p =0.592). This study demonstrated that age, tumor size, family history of thyroid cancer, awareness of AS, and income were associated with patients' treatment choices. Although the overall QoL scores were significantly higher in the AS group, the QoL became similar between the two groups after 12 months.

A cross domain access control model for medical consortium based on DBSCAN and penalty function

BackgroundGraded diagnosis and treatment, referral, and expert consultations between medical institutions all require cross domain access to patient medical information to support doctors’ treatment decisions, leading to an increase in cross domain access among various medical institutions within the medical consortium. However, patient medical information is sensitive and private, and it is essential to control doctors’ cross domain access to reduce the risk of leakage. Access control is a continuous and long-term process, and it first requires verification of the legitimacy of user identities, while utilizing control policies for selection and management. After verifying user identity and access permissions, it is also necessary to monitor unauthorized operations. Therefore, the content of access control includes authentication, implementation of control policies, and security auditing. Unlike the existing focus on authentication and control strategy implementation in access control, this article focuses on the control based on access log security auditing for doctors who have obtained authorization to access medical resources. This paper designs a blockchain based doctor intelligent cross domain access log recording system, which is used to record, query and analyze the cross domain access behavior of doctors after authorization. Through DBSCAN clustering analysis of doctors’ cross domain access logs, we find the abnormal phenomenon of cross domain access, and build a penalty function to dynamically control doctors’ cross domain access process, so as to reduce the risk of Data breach. Finally, through comparative analysis and experiments, it is shown that the proposed cross domain access control model for medical consortia based on DBSCAN and penalty function has good control effect on the cross domain access behavior of doctors in various medical institutions of the medical consortia, and has certain feasibility for the cross domain access control of doctors.

Impact of comorbidity on health-related quality of life in newly diagnosed patients with lymphoma or multiple myeloma: results from the PROFILES-registry.

With the increasing prevalence of comorbidity in an ageing population, it is crucial to better understand the impact of comorbidity on health-related quality of life (HRQoL) after lymphoma or multiple myeloma (MM) diagnosis. We included 261 newly diagnosed patients (67% response rate) diagnosed with lymphoma or MM between October 2020 and March 2023 in a longitudinal survey. The European Organisation for Research and Treatment of Cancer (EORTC) questionnaires were used to measure generic and disease-specific HRQoL. Evidence-based guidelines for interpretation of the EORTC questionnaires were used to identify clinical importance. Patients were classified as having 'no comorbidity', 'mild comorbidity' (e.g. arthrosis or rheumatism), or 'moderate-severe comorbidity' (e.g. heart or lung disease), using the adapted self-administered comorbidity questionnaire. At diagnosis, the mean age was 64 years, 63% were male and 38% reported no comorbidity, 33% mild comorbidity, and 29% moderate-severe comorbidity. Patients with mild or moderate-severe comorbidity reported clinically relevant worse HRQoL at diagnosis than patients without comorbidity. One year post-diagnosis most outcomes showed clinically relevant improvement, irrespective of comorbidity. However, outcomes of physical functioning (β=-7.9, p < 0.05), global health status (β=-7.6, p < 0.05), bone pain (β = 8.1 to 9.1, p < 0.05), muscle/joint pain (β = 14.5 to 18.8, p < 0.01) and muscle weakness (β = 10.4 to 15.6, p < 0.05) improved less among those with comorbidity, and clinically relevant differences between comorbidity groups persisted over time. With clinically relevant worse HRQoL at diagnosis and less recovery of HRQoL during the first year after diagnosis in patients with comorbidity, consideration of both prognosis and HRQoL is important when making treatment decisions.

RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning

BackgroundThe population diagnosed with renal cell carcinoma, especially in Asia, represents 36.6% of global cases, with the incidence rate of renal cell carcinoma in Korea steadily increasing annually. However, treatment options for renal cell carcinoma are diverse, depending on clinical stage and histologic characteristics. Hence, this study aims to develop a machine learning based clinical decision-support system that recommends personalized treatment tailored to the individual health condition of each patient.ResultsWe reviewed the real-world medical data of 1,867 participants diagnosed with renal cell carcinoma between November 2008 and June 2021 at the Pusan National University Yangsan Hospital in South Korea. Data were manually divided into a follow-up group where the patients did not undergo surgery or chemotherapy (Surveillance), a group where the patients underwent surgery (Surgery), and a group where the patients received chemotherapy before or after surgery (Chemotherapy). Feature selection was conducted to identify the significant clinical factors influencing renal cell carcinoma treatment decisions from 2,058 features. These features included subsets of 20, 50, 75, 100, and 150, as well as the complete set and an additional 50 expert-selected features. We applied representative machine learning algorithms, namely Decision Tree, Random Forest, and Gradient Boosting Machine (GBM). We analyzed the performance of three applied machine learning algorithms, among which the GBM algorithm achieved an accuracy score of 95% (95% CI, 92–98%) for the 100 and 150 feature sets. The GBM algorithm using 100 and 150 features achieved better performance than the algorithm using features selected by clinical experts (93%, 95% CI 89–97%).ConclusionsWe developed a preliminary personalized treatment decision-support system (TDSS) called “RCC-Supporter” by applying machine learning (ML) algorithms to determine personalized treatment for the various clinical situations of RCC patients. Our results demonstrate the feasibility of using machine learning-based clinical decision support systems for treatment decisions in real clinical settings.

Subclinical Hyperthyroidism and Cardiovascular Disease.

Background In this narrative review, we assess published data on subclinical hyperthyroidism (SCHyper) and its association with cardiovascular disease (CVD) in the general population. Summary We present data on the risk of SCHyper in relation to CVD outcomes, including atrial fibrillation (AF), heart failure, stroke, coronary heart disease (CHD), major adverse cardiac events (MACE), CVD mortality, and all-cause mortality. Evidence indicates that SCHyper is associated with an elevated risk of AF, heart failure, MACE, CVD mortality, and all-cause mortality. SCHyper appears to have little association with stroke risk and has shown conflicting results regarding CHD risk. Regarding the degree of serum TSH suppression, evidence shows a higher risk of CVD in SCHyper individuals with suppressed TSH (<0.1 mIU/L) compared with those with low TSH (0.1-0.4 mIU/L). Despite evidence that older individuals are inherently at a higher risk for CVD, no studies have yet demonstrated an age-related increase in the relative risk of CVD in SCHyper. Conclusion The studies indicate that SCHyper is associated with an increased risk of AF, heart failure, MACE, CVD mortality, and all-cause mortality. Considering the importance of the degree of serum TSH suppression and age as risk factors for CVD, treatment decisions should be individualized based on their specific risk factors.