A novel scoring model for predicting efficacy and guiding individualised treatment in immune thrombocytopaenia.

Despite diverse therapeutic options for immune thrombocytopaenia (ITP), drug efficacy and selection challenges persist. This study systematically identified potential indicators in ITP patients and followed up on subsequent treatment. We initially analysed 61 variables and identified 12, 14, and 10 candidates for discriminating responders from non-responders in glucocorticoid (N = 215), thrombopoietin receptor agonists (TPO-RAs) (N = 224), and rituximab (N = 67) treatments, respectively. Patients were randomly assigned to training or testing datasets and employing five machine learning (ML) models, with eXtreme Gradient Boosting (XGBoost) area under the curve (AUC = 0.89), Decision Tree (DT) (AUC = 0.80) and Artificial Neural Network (ANN) (AUC = 0.79) selected. Cross-validated with logistic regression and ML finalised five variables (baseline platelet, IP-10, TNF-α, Treg, B cell) for glucocorticoid, eight variables (baseline platelet, TGF-ß1, MCP-1, IL-21, Th1, Treg, MK number, TPO) for TPO-RAs, and three variables (IL-12, Breg, MAIPA-) for rituximab to establish the predictive model. Spearman correlation and receiver operating characteristic curve analysis in validation datasets demonstrated strong correlations between response fractions and scores in all treatments. Scoring thresholds SGlu ≥ 3 (AUC = 0.911, 95% CI, 0.865-0.956), STPO-RAs ≥ 5 (AUC = 0.964, 95% CI 0.934-0.994), and SRitu = 3 (AUC = 0.964, 95% CI 0.915-1.000) indicated ineffectiveness in glucocorticoid, TPO-RAs, and rituximab therapy, respectively. Regression analysis and ML established a tentative and preliminary predictive scoring model for advancing individualised treatment.

Individualized Treatment of Multidrug-resistant Tuberculosis Using Whole-Genome Sequencing and Expanded Drug-Susceptibility Testing.

A case of multidrug-resistant tuberculosis is presented. It highlights the role of whole-genome sequencing, expanded phenotypic drug susceptibility testing, and enhanced case management, offering a more complete understanding of drug susceptibility to Mycobacterium tuberculosis. This approach guides an effective individualized treatment strategy that results in rapid sustained culture conversion.

A novel approach to support implementation of biosimilars within a UK tertiary hospital.

Aims To assess the transfer of patients treated with originator biological therapies to biosimilar products in a large UK tertiary referral hospital reflecting practice within the National Health Service (NHS) using prospectively collected data by a hospital-based registry administered by the Biologics Steering Group (BSG). METHODS: We analysed data collected prospectively in a hospital-based registry in a large NHS tertiary referral hospital in the UK. The registry was administered by the hospital's BSG, which considered requests for patients to remain on or revert to originator products. The registry contained prospectively collected data on patients switching therapy from an originator to a biosimilar. The data included clinical circumstances or rationale for each request, whether it was granted, and the results of clinical reviews at 3-6 months. RESULTS: In a 12-month period, we identified 1299 patients who could switch to the respective biosimilar and, of these, 1196 (92%) did so. Of the 260 patients taking infliximab, 250 (96%) switched to infliximab biosimilar; of the 390 patients taking etanercept 50 mg, 298 (76%) switched to etanercept 50 mg biosimilar; and of the 649 patients taking rituximab, 648 (99%) switched to rituximab biosimilar. The BSG received 39 applications: 12 (out of 39) applications were to remain on the originator and 27 (out of 39) were to switch back to the originator. Of the applications to remain on the originator 10 (out of 12) were approved. At 3-6 month review, 2 of these approvals reported continued efficacy, 3 switched to the biosimilar, 3 switched to an alternative therapy and 2 stopped treatment. Two (out of 10) applications were not approved, both applicants reported efficacy with the biosimilar at follow up. Of the 27 applications to switch back to the originator, 16 (out of 27) applications were approved. At 3-6 months, 9 (out of 16) applicants reported regain of efficacy, 6 (out of 16) reported cessation of reported adverse effects and 1 (out of 16) switched to alternative therapy. Eight (out of 27) applications were not approved, and, at point of follow up, 50% reported efficacy with the biosimilar and 50% had switched to an alternative therapy. Three (out of 27) applications were withdrawn by the clinical team as efficacy was achieved with the biosimilar. CONCLUSION: We have set up a system within a busy NHS clinical practice to successfully switch patients to biosimilars, and established a mechanism to guide decisions on continuing with or reverting back to the originator. Such a system could be of use more broadly within the NHS and other health care systems.

Physical function and severe side effects matter most to patients with RA (< 5 years): a discrete choice experiment assessing preferences for personalized RA treatment.

AIM: Early assessment of patient preferences has the potential to support shared decisions in personalized precision medicine for patients with rheumatoid arthritis (RA). The aim of this study was to assess treatment preferences of patients with RA (< 5 years) with previous experience of inadequate response to first-line monotherapy. METHOD: Patients were recruited (March-June 2021) via four clinics in Sweden. Potential respondents (N = 933) received an invitation to answer a digital survey. The survey included an introductory part, a discrete choice experiment (DCE) and demographic questions. Each respondent answered 11 hypothetical choice questions as part of the DCE. Patient preferences and preference heterogeneity were estimated using random parameter logit models and latent class analysis models. RESULTS: Patients (n = 182) assessed the most important treatment attributes out of physical functional capacity, psychosocial functional capacity, frequency of mild side effects and likelihood of severe side effects. In general, patients preferred a greater increase in functional capacity and decreased side effects. However, a substantial preference heterogeneity was identified with two underlying preference patterns. The most important attribute in the first pattern was the 'likelihood of getting a severe side effect'. Physical functional capacity was the most important attribute in the second pattern. CONCLUSION: Respondents focused their decision-making mainly on increasing their physical functional capacity or decreasing the likelihood of getting a severe side effect. These results are highly relevant from a clinical perspective to strengthen communication in shared decision making by assessing patients' individual preferences for benefits and risks in treatment discussions.

Clinical perspectives on dosimetry in molecular radiotherapy.

Molecular radiotherapy is the use of systemically administered unsealed radioactive sources to treat cancer. Theragnostics is the term used to describe paired radiopharmaceuticals localising to a specific target, one optimised for imaging, the other for therapy. For many decades, molecular radiotherapy has developed empirically. Standard administered activity schedules have been used without the prior estimation of the resulting tumour radiation absorbed dose by theragnostic imaging, or its subsequent measurement by serial scanning. This pragmatic approach has benefited many patients, however others who should have benefited have failed to do so as the radiation absorbed dose in the tumour was suboptimal. The accurate prediction and measurement of tumour and organ at risk radiation absorbed doses allows treatment to be personalised, and offers the prospect of improved clinical outcomes. To deliver this for all molecular radiotherapy patients would require not only a significant financial investment in equipment and skilled personnel, but also a change in attitude of those who believe that simple - or simplistic - schedules are easier to deliver, and that accurate dosimetry is too much trouble. Further clinical studies are required to demonstrate beyond doubt that the advantages of individualised treatment planning outweigh the inconvenience, and that the expense is justified by enhanced results.

Thoracoabdominal Aortic Replacement Together with Curative Oncological Surgery in Retroperitoneal and Spinal Tumours.

Malignancies with an extended encasement or infiltration of the aorta were previously considered inoperable. This series demonstrates replacement and subsequent resection of the thoracoabdominal aorta and its large branches as an adjunct to curative radical retroperitoneal and spinal tumor resection. Five consecutive patients were enrolled between 2016 and 2020, suffering from cancer of unknown primary, pleomorphic carcinoma, chordoma, rhabdoid sarcoma, and endometrial cancer metastasis. Wide surgical resection was the only curative option for these patients. For vascular replacement, extracorporeal membrane oxygenation (ECMO) was used as a partial left-heart bypass. The early technical success rate was 100% for vascular procedures and all patients underwent complete radical tumour resection with negative margins. All patients required surgical revision (liquor leak, n = 2; hematoma, n = 3; bypass revision, n = 1; bleeding, n = 1; biliary leak, n = 1). During follow-up (average 47 months, range 22-70) primary patency rates of aortic reconstructions and arterial bypasses were 100%; no patient suffered from recurrent malignant disease. Thoracoabdominal aortic replacement with rerouting of visceral and renal vessels is feasible in oncologic patients. In highly selected young patients, major vascular surgery can push the limits of oncologic surgery further, allowing a curative approach even in extensive retroperitoneal and spinal malignancies.

From individualised treatment goals to personalised rehabilitation in osteoarthritis: a longitudinal prospective mapping study using the WHO international classification for functioning, disability and health.

BACKGROUND/OBJECTIVE(S)/INTRODUCTION: In clinical practice, treatment goals are often set up without exploring what patients really want. We, therefore, collected individualised treatment goals of patients with osteoarthritis (OA), categorised and mapped them to the World Health Organisation International Classification for Functioning, Disability and Health (ICF). PATIENTS/MATERIALS AND METHODS: A longitudinal prospective cohort study was conducted (2019-2021). We used descriptive statistics and Chi2/Fisher's Exact Tests, where appropriate, as well as Kruskal-Wallis-Tests for the mean score ranks of the patients' goals. RESULTS: In total, 305 goals reported by 132 participants were analysed (267 women vs. 38 men). The top 3 ICF categories were sensation of pain (ICF:b280), mobility of joint (ICF:b710) and muscle power functions (ICF:b730). Overall, 51% of all individually reported functional goals were achieved after 3 months. Men were more likely to achieve their goals than women (p = 0.009). The majority of the "very important" goals (51%) and "very difficult" goals (57%) was not improved. Goals' mean score ranks significantly differed between baseline and follow-up. CONCLUSION(S): As the human lifespan as well as the number of people affected by OA worldwide increase, there is a growing need to identify and evaluate rehabilitation outcomes that are relevant to people with OA.Key MessagesTreat-to-target agreements between patients and health care providers present a step towards more personalised precision medicine, which will eventually lead to better reported functional and health outcomes.In patients with osteoarthritis, the Goal Attainment Scale instrument can be used to measure health outcomes at different time points and its content may be linked to ICF providing a unified language and conceptual scientific basis.

Prediction of Acoustic Residual Inhibition of Tinnitus Using a Brain-Inspired Spiking Neural Network Model.

Auditory Residual Inhibition (ARI) is a temporary suppression of tinnitus that occurs in some people following the presentation of masking sounds. Differences in neural response to ARI stimuli may enable classification of tinnitus and a tailored approach to intervention in the future. In an exploratory study, we investigated the use of a brain-inspired artificial neural network to examine the effects of ARI on electroencephalographic function, as well as the predictive ability of the model. Ten tinnitus patients underwent two auditory stimulation conditions (constant and amplitude modulated broadband noise) at two time points and were then characterised as responders or non-responders, based on whether they experienced ARI or not. Using a spiking neural network model, we evaluated concurrent neural patterns generated across space and time from features of electroencephalographic data, capturing the neural dynamic changes before and after stimulation. Results indicated that the model may be used to predict the effect of auditory stimulation on tinnitus on an individual basis. This approach may aid in the development of predictive models for treatment selection.

Individualizing management of extensively drug-resistant tuberculosis: diagnostics, treatment, and biomarkers.

INTRODUCTION: Success rates for treatment of extensively drug resistant tuberculosis (XDR-TB) are low due to limited treatment options, delayed diagnosis and inadequate health care infrastructure. Areas covered: This review analyses existing programmes of prevention, diagnosis and treatment of XDR-TB. Improved diagnostic procedures and rapid molecular tests help to select appropriate drugs and dosages. Drugs dosages can be further tailored to the specific conditions of the patient based on quantitative susceptibility testing of the M. tuberculosis isolate and use of therapeutic drug monitoring. Pharmacovigilance is important for preserving activity of the novel drugs bedaquiline and delamanid. Furthermore, biomarkers of treatment response must be developed and validated to guide therapeutic decisions. Expert commentary: Given the currently poor treatment outcomes and the association of XDR-TB with HIV in endemic regions, a more patient oriented approach regarding diagnostics, drug selection and tailoring and treatment evaluation will improve treatment outcome. The different areas of expertise should be covered by a multidisciplinary team and may involve the transition of patients from hospitalized to home or community-based treatment.