Committed Lone Fighters And Group Experiences: An International Survey On Pediatric Hematology And Oncology Training In German-Speaking Countries.

INTRODUCTION: In German-speaking countries children with cancer are treated in about 70 hospitals. While national and European curricula for pediatric oncology and hematology (POH) have been developed, little is known, how far these curricula have been implemented into daily training and what topics are deemed urgent by instructors. METHODS AND MATERIALS: In 2022 the Didactics and Educational working party of the German Pediatric Hematology/Oncology Society conducted a survey plus interview by phone call on local educational conditions in POH and needs of educators. RESULTS: Thirty-two (45%) POH centers answered the questionary, half have appointed persons overseeing the training. A wide range educational scenarios were described in some centers. Trainees identified urgent needs in areas such as hybrid education and demanded training workshops on specific topics and intensified networking and a general curriculum implemented into daily care as mandatory. CONCLUSION: This is the first survey on educational issues in POH in German speaking centers, describing the current situation before and under pandemic conditions. Great individual efforts have already been achieved by dedicated teachers. A comprehensive training program in POH is still missing, which translates the national curriculum into daily practice, while improving networking and balancing the resources of the individual centers.

Exploring different stakeholders' perspectives on ward rounds in paediatric oncology: a qualitative study.

RATIONAL/AIMS AND OBJECTIVES: Ward rounds are a core routine for interprofessional communication and clinical care planning: Health care professionals and patients meet regularly and it encourages patients to actively participate. In paediatric oncology, the long treatment process, the serious diagnosis, and involvement of both patients and their parents in shared-decision-making require specific ward round skills. Despite its high value for patient-centred care, a universal definition of ward round is lacking. Little is known about attitudes and expectations of different participants towards a 'good' ward round. This study aims to capture experiences and expectations of different stakeholders to better understand ward round needs in paediatric oncology and serve as a basis to improve future ward rounds. METHOD: Semi-structured interviews were conducted with patients, parents, nurses and medical doctors of a paediatric oncology ward until theoretical saturation (13 interviews). A standardised qualitative analysis using the phenomenological framework defined by Colaizzi was used to identify important aspects in the interviews. RESULTS: Three major themes were identified in the interviews: [1] Structure and Organisation; [2] Communication; [3] Education. Further analysis revealed 23 categories and elucidated several opportunities and unmet needs recognized by stakeholders: Ward round functions in comforting families in stressful situations, and relationship building. Interviewees expressed their concerns about missing structures. Families pleaded for smaller ward round teams and layperson language. Health care professionals underscored the lack of ward round training. Paediatric patients stated that ward round scared them without proper explanation. All interviewees emphasized the need for professionalization of the ward round in the setting of paediatric oncology. CONCLUSION: This study gives important insights into ward round functions and organisational requirements. It addresses special challenges for ward round participants in paediatric oncology, such as consideration of the emotional aspect of cancer treatment or the limits of shared decision making. Furthermore, this study underscores the great significance of ward rounds in paediatric oncology, with an emphasis on communication and relationship-building. Although performed universally, ward rounds are poorly explored or evaluated. This structured analysis synthesizes important expectations of different WR stakeholders, revealing opportunities of improvement and stressing the need for guidelines, training, and preparation.

Self-reported Tinnitus and Vertigo or Dizziness in a Cohort of Adult Long COVID Patients.

Tinnitus, vertigo and dizziness are symptoms commonly reported among Long and Post COVID patients, however the severity of these symptoms has not been assessed in large trials. Therefore, in this study a large cohort of Long COVID patients was surveyed about the presence and severity of tinnitus and vertigo or dizziness symptoms. The online survey was completed by a German cohort of 1,082 adult Long COVID patients after a mean period of 43.2 weeks ± 23.4 weeks after infection. Eighty percent were not fully vaccinated (at least two vaccinations) at the time of their first COVID symptoms and 9.8% were hospitalized in the course of their acute SARS-CoV-2 infection. At the time of the survey, 60% of patients reported the presence of vertigo or dizziness with a mean severity of 4.6 ± 2.7 on a scale of 1 (least severe) to 10 (most severe) and 30% complained of tinnitus with a mean severity of 4.8 ± 3.0. Approximately one fifth of the participants with tinnitus and vertigo or dizziness, rated their symptoms to be severe. The data shown in this study confirms that tinnitus and vertigo or dizziness are common symptoms in Long COVID patients and demonstrates, that a compelling number of patients rate their symptoms as severe. The self-reported severity highlights the need for Long COVID clinics to address these symptoms effectively. We suggest a multidisciplinary diagnostic and therapeutic approach to prevent further morbidity and socioeconomic burden for Long COVID patients suffering from severe vertigo, dizziness or tinnitus.

Rapid development of a digital module during the Covid 19 pandemic in undergraduate medical education of pediatrics by teachers and students.

Objective: During the early Covid 19 pandemic, undergraduate medical teaching of pediatric medicine had to be switched to online teaching at the Hanover Medical School (MHH). The aim was to develop an online module together with students. Methodology: In a multi-stage process, a working group consisting of lecturers and students developed the concept and implemented it. Afterwards the online module was evaluated. Results: The conceptualization process and the implementation of the module together with students can be represented as a modified PDCA cycle (Plan-Do-Check-Act). We showed that including students in the development of an online module is helpful in times of limited resources e.g. such as personnel and time. Conclusion: The cooperation between students and lecturers is suitable for developing and implementing an online module in a short time. In the future, in addition to joint conceptualization phases, digital elements (e.g. preparatory webinars) for the module itself in attendance phases should be retained.

Invasive Mold Infection of the Central Nervous System in Immunocompromised Children.

Background: Due to the difficulties in the definite diagnosis, data on brain imaging in pediatric patients with central nervous system (CNS)-invasive mold infection (IMD) are scarce. Our aim was to describe brain imaging abnormalities seen in immunocompromised children with CNS-IMD, and to analyze retrospectively whether specific imaging findings and sequences have a prognostic value. Methods: In a retrospective study of 19 pediatric patients with proven or probable CNS-IMD, magnetic resonance imaging (MRI)-findings were described and analyzed. The results were correlated with outcome, namely death, severe sequelae, or no neurological sequelae. Results: 11 children and 8 adolescents (11/8 with proven/probable CNS-IMD) were included. Seven of the patients died and 12/19 children survived (63%): seven without major neurological sequelae and five with major neurological sequelae. Multifocal ring enhancement and diffusion restriction were the most common brain MRI changes. Diffusion restriction was mostly seen at the core of the lesion. No patient with disease limited to one lobe died. Perivascular microbleeding seen on susceptibility weighted imaging (SWI) and/or gradient-echo/T2* images, as well as infarction, were associated with poor prognosis. Conclusions: The presence of infarction was related to poor outcome. As early microbleeding seems to be associated with poor prognosis, we suggest including SWI in routine diagnostic evaluation of immunocompromised children with suspected CNS-IMD.

Development of a Social Network for People Without a Diagnosis (RarePairs): Evaluation Study.

BACKGROUND: Diagnostic delay in rare disease (RD) is common, occasionally lasting up to more than 20 years. In attempting to reduce it, diagnostic support tools have been studied extensively. However, social platforms have not yet been used for systematic diagnostic support. This paper illustrates the development and prototypic application of a social network using scientifically developed questions to match individuals without a diagnosis. OBJECTIVE: The study aimed to outline, create, and evaluate a prototype tool (a social network platform named RarePairs), helping patients with undiagnosed RDs to find individuals with similar symptoms. The prototype includes a matching algorithm, bringing together individuals with similar disease burden in the lead-up to diagnosis. METHODS: We divided our project into 4 phases. In phase 1, we used known data and findings in the literature to understand and specify the context of use. In phase 2, we specified the user requirements. In phase 3, we designed a prototype based on the results of phases 1 and 2, as well as incorporating a state-of-the-art questionnaire with 53 items for recognizing an RD. Lastly, we evaluated this prototype with a data set of 973 questionnaires from individuals suffering from different RDs using 24 distance calculating methods. RESULTS: Based on a step-by-step construction process, the digital patient platform prototype, RarePairs, was developed. In order to match individuals with similar experiences, it uses answer patterns generated by a specifically designed questionnaire (Q53). A total of 973 questionnaires answered by patients with RDs were used to construct and test an artificial intelligence (AI) algorithm like the k-nearest neighbor search. With this, we found matches for every single one of the 973 records. The cross-validation of those matches showed that the algorithm outperforms random matching significantly. Statistically, for every data set the algorithm found at least one other record (match) with the same diagnosis. CONCLUSIONS: Diagnostic delay is torturous for patients without a diagnosis. Shortening the delay is important for both doctors and patients. Diagnostic support using AI can be promoted differently. The prototype of the social media platform RarePairs might be a low-threshold patient platform, and proved suitable to match and connect different individuals with comparable symptoms. This exchange promoted through RarePairs might be used to speed up the diagnostic process. Further studies include its evaluation in a prospective setting and implementation of RarePairs as a mobile phone app.

Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition?

BACKGROUND: Rare diseases (RD) result in a wide variety of clinical presentations, and this creates a significant diagnostic challenge for health care professionals. We hypothesized that there exist a set of consistent and shared phenomena among all individuals affected by (different) RD during the time before diagnosis is established. OBJECTIVE: We aimed to identify commonalities between different RD and developed a machine learning diagnostic support tool for RD. METHODS: 20 interviews with affected individuals with different RD, focusing on the time period before their diagnosis, were performed and qualitatively analyzed. Out of these pre-diagnostic experiences, we distilled key phenomena and created a questionnaire which was then distributed among individuals with the established diagnosis of i.) RD, ii.) other common non-rare diseases (NRO) iii.) common chronic diseases (CD), iv.), or psychosomatic/somatoform disorders (PSY). Finally, four combined single machine learning methods and a fusion algorithm were used to distinguish the different answer patterns of the questionnaires. RESULTS: The questionnaire contained 53 questions. A total sum of 1763 questionnaires (758 RD, 149 CD, 48 PSY, 200 NRO, 34 healthy individuals and 574 not evaluable questionnaires) were collected. Based on 3 independent data sets the 10-fold stratified cross-validation method for the answer-pattern recognition resulted in sensitivity values of 88.9% to detect the answer pattern of a RD, 86.6% for NRO, 87.7% for CD and 84.2% for PSY. CONCLUSION: Despite the great diversity in presentation and pathogenesis of each RD, patients with RD share surprisingly similar pre-diagnosis experiences. Our questionnaire and data-mining based approach successfully detected unique patterns in groups of individuals affected by a broad range of different rare diseases. Therefore, these results indicate distinct patterns that may be used for diagnostic support in RD.

Galactomannan and PCR in the Central Nervous System to Detect Invasive Mold Disease - A Retrospective Analysis in Immunocompromised Children.

Invasive mold disease (IMD) of the central nervous system (CNS) is a severe infectious complication in immunocompromised patients, but early microbiological diagnosis is difficult. As data on the value of biomarkers in the CNS are scarce, in particular in children, we retrospectively analyzed the performance of galactomannan (GM) and PCR assays in CNS samples of 15 children with proven and probable CNS IMD and of 32 immunocompromised children without fungal infection. Galactomannan in the cerebrospinal fluid (CSF) was assessed in nine of the 15 pediatric patients and was positive in five of them. Polymerase chain reaction (PCR) was performed in eight of the 15 patients and detected nucleic acids from molds in six patients. Galactomannan and PCR in CNS samples were the only positive microbiologic parameter in the CNS in three and two patients, respectively. In four patients, PCR specified the pathogen detected in microscopy. Galactomannan and PCR results remained negative in the CSF of all immunocompromised children without evidence for CNS IMD. Our data suggest that GM and PCR in CNS specimens are valuable additional tools in diagnosing CNS IMD and should be included in the work up of all pediatric patients with suspected mold disease of the CNS.

Invasive mold disease of the central nervous system in children and adolescents with cancer or undergoing hematopoietic stem cell transplantation: Analysis of 29 contemporary patients.

BACKGROUND: Invasive mold disease (IMD) is a severe infectious complication in immunocompromised patients. The outcome of central nervous system (CNS) IMD is poor, but contemporary data, in particular in the pediatric setting, are lacking. PROCEDURE: For this retrospective multicenter analysis, pediatric patients < 18 years with proven or probable CNS IMD receiving chemotherapy or undergoing allogeneic HSCT were reported by the local investigator. CNS IMD had to be diagnosed between 2007 and 2016. Proven CNS IMD was defined as compatible CNS imaging or macroscopic autopsy findings in conjunction with a positive microscopic or microbiological result in the brain tissue or cerebrospinal fluid. Probable CNS IMD was defined as compatible CNS imaging findings in combination with proven or probable IMD at a site outside the CNS. RESULTS AND CONCLUSIONS: A total of 29 patients (median age, 14 years; 14 allogeneic HSCT recipients) were diagnosed with proven (n = 12) or probable (n = 17) CNS IMD. Aspergillus spp. was the most common fungal pathogen. All but one patient had IMD sites outside the CNS and eight patients (27.6%) were neurologically asymptomatic at diagnosis of CNS IMD. Forty-nine percent of the patients survived CNS IMD; however, 46.7% of the survivors suffered from severe long-term neurological sequelae. Our data suggest that (1) outcome of CNS IMD has improved in children as compared with previous series, (2) half of surviving patients suffer from severe neurological sequelae, and (3) imaging of the CNS should be performed in all children with IMD irrespective of neurological symptoms.

SICKO. Development of a Multi-Disciplinary Training-Concept for Paediatric Oncology.

Background Treating children with cancer requires multiple different skills. For the healthcare personnel (HCP) in Germany the practice of ongoing training to improve professional skills is almost non-existent. Therefore, we developed a programme called 'SICKO' to support HCPs skills and attitudes by means of a multidisciplinary workshop. Methods Following a qualitative analysis, we then designed a modular (3 day) workshop. During day one (8 h) participants learn practical skills, the fundamentals of chemotherapy, and effective communication skills. Workshop day 2 (8 h) includes education regarding the complications of cancer therapy (e. g. tumour-lysis syndrome, delayed methotrexate excretion), and their management. Topics during day 3 (8 h) include 'breaking bad news', conflict management in the team, infusion-related complications and 'crew resource management' (CRM). Results 43 nurses and 33 physicians participated between 2013 and 2015. All participants highly recommend the workshop. Participants felt that knowledge increased significantly after workshops and were more confident regarding challenging communications. Discussion/Conclusions Although long-term effects have not yet been evaluated, 'SICKO' offers the opportunity for HCP to train and experience simulated day-to-day challenges in the field of paediatric oncology.

Patient's Experience in Pediatric Primary Immunodeficiency Disorders: Computerized Classification of Questionnaires.

INTRODUCTION: Primary immunodeficiency disorders (PIDs) are a heterogeneous group of more than 200 rare diseases. Timely diagnosis is of uttermost importance. Therefore, we aimed to develop a diagnostic questionnaire with computerized pattern-recognition in order to support physicians to identify suspicious patient histories. MATERIALS AND METHODS: Standardized interviews were conducted with guardians of children with PID. The questionnaire based on parental observations was developed using Colaizzis' framework for content analysis. Answers from 64 PID patients and 62 controls were analyzed by data mining methods in order to make a diagnostic prediction. Performance was evaluated by k-fold stratified cross-validation. RESULTS: The diagnostic support tool achieved a diagnostic sensitivity of up to 98%. The analysis of 12 interviews revealed 26 main phenomena observed by parents in the pre-diagnostic period. The questions were systematically phrased and selected resulting in a 36-item questionnaire. This was answered by 126 patients with or without PID to evaluate prediction. Item analysis revealed significant questions. DISCUSSION: Our approach proved suitable for recognizing patterns and thus differentiates between observations of PID patients and control groups. These findings provide the basis for developing a tool supporting physicians to consider a PID with a questionnaire. These data support the notion that patient's experience is a cornerstone in the diagnostic process.

Diagnostic needs for rare diseases and shared prediagnostic phenomena: Results of a German-wide expert Delphi survey.

BACKGROUND: Worldwide approximately 7,000 rare diseases have been identified. Accordingly, 4 million individuals live with a rare disease in Germany. The mean time to diagnosis is about 6 years and patients receive several incorrect diagnoses during this time. A multiplicity of factors renders diagnosing a rare disease extremely difficult. Detection of shared phenomena among individuals with different rare diseases could assist the diagnostic process. In order to explore the demand for diagnostic support and to obtain the commonalities among patients, a nationwide Delphi survey of centers for rare diseases and patient groups was conducted. METHODS: A two-step Delphi survey was conducted using web-based technologies in all centers for rare diseases in Germany. Moreover, the leading patient support group, the German foundation for rare diseases (ACHSE), was contacted to involve patients as experts in their disease. In the survey the experts were invited to name rare diseases with special need for diagnostic improvement. Secondly, communal experiences of affected individuals were collected. RESULTS: 166 of 474 contacted experts (35%) participated in the first round of the Delphi process and 95 of 166 (57%) participated in the second round. Metabolic (n = 74) and autoimmune diseases (n = 39) were ranked the highest for need for diagnostic support. For three diseases (i.e. scleroderma, Pompe's disease, and pulmonary arterial hypertension), a crucial need for diagnostic support was explicitly stated. A typical experience of individuals with a rare disease was stigmatization of having psychological or psychosomatic problems. In addition, most experts endured an 'odyssey' of seeing many different medical specialists before a correct diagnosis (n = 38) was confirmed. CONCLUSION: There is need for improving the diagnostic process in individuals with rare diseases. Shared experiences in individuals with a rare disease were observed, which could possibly be utilized for diagnostic support in the future.