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Background: Despite increasing calls for patient and public involvement in health‐care quality improvement, the question of how patient evaluations can contribute to physician learning and performance assessment has received scant attention.
Objective: The objective of this study was to explore, amid calls for patient involvement in quality assurance, patients' perspectives on their role in the evaluation of physician performance and to support physicians’ learning and decision making on professional competence.
Design: A qualitative study based on semi‐structured interviews.
Setting and Participants: The study took place in a secondary care setting in the Netherlands. The authors selected 25 patients from two Dutch hospitals and through the Dutch Lung Foundation, using purposive sampling.
Methods: Data were analysed according to the principles of template analysis, based on an a priori coding framework developed from the literature about patient empowerment, feedback and performance assessment.
Results: The analysis unearthed three predominant patient perspectives: the proactive perspective, the restrained perspective and the outsider perspective. These perspectives differed in terms of perceived power dynamics within the doctor‐patient relationship, patients' perceived ability, and willingness to provide feedback and evaluate their physician's performance. Patients' perspectives thus affected the role patients envisaged for themselves in evaluating physician performance.
Discussion and conclusion: Although not all patients are equally suitable or willing to be involved, patients can play a role in evaluating physician performance and continuing training through formative approaches. To involve patients successfully, it is imperative to distinguish between different patient perspectives and empower patients by ensuring a safe environment for feedback.
Background: Pulmonary nocardiosis (PN) is an uncommon but potentially life-threatening infection. Most of our knowledge is derived from case reports or smaller case series. Recently, increasing PN incidence rates have been reported. We aim to describe the clinical course of and risk factors for PN in four Western European countries and to estimate population-based annual hospitalization rates.
Methods: Retrospective evaluation (1995 to 2011) of the clinical course of and risk factors for PN in patients from 11 hospitals in four European countries (Germany, Austria, Switzerland and The Netherlands). Calculation of population-based estimates of hospitalization rates of PN in Germany (2005 to 2011) using official German nationwide diagnosis-related groups (DRG) hospital statistics.
Results: Forty-three patients fulfilled stringent criteria for proven (n = 8) and probable (n = 35) PN; seven with extrapulmonary dissemination. Within the 43 patients, major PN risk factors were immunocompromising (83.7%) and/or pulmonary (58.1%; in 27.9% as only comorbidity) comorbidities. Median duration of PN targeted therapy was 12 weeks. Distinguished patterns of resistance were observed (imipenem susceptibility: N. farcinica 33.3%; N. asteroides 66.7%). Overall mortality rate was 18.9%; in disseminated PN 50%. Over time, annual PN hospitalization rates remained unchanged at around 0.04/100′000 with the highest rate among men aged 75–84 years (0.24/100′000).
Conclusion: PN is rare, but potentially life-threatening, and mainly affects immunocompromised elder males. Overall annual hospitalization rates remained stable between 2005 and 2011.
This article discusses the counterpart of interactive machine learning, i.e., human learning while being in the loop in a human-machine collaboration. For such cases we propose the use of a Contradiction Matrix to assess the overlap and the contradictions of human and machine predictions. We show in a small-scaled user study with experts in the area of pneumology (1) that machine-learning based systems can classify X-rays with respect to diseases with a meaningful accuracy, (2) humans partly use contradictions to reconsider their initial diagnosis, and (3) that this leads to a higher overlap between human and machine diagnoses at the end of the collaboration situation. We argue that disclosure of information on diagnosis uncertainty can be beneficial to make the human expert reconsider her or his initial assessment which may ultimately result in a deliberate agreement. In the light of the observations from our project, it becomes apparent that collaborative learning in such a human-in-the-loop scenario could lead to mutual benefits for both human learning and interactive machine learning. Bearing the differences in reasoning and learning processes of humans and intelligent systems in mind, we argue that interdisciplinary research teams have the best chances at tackling this undertaking and generating valuable insights.
COVID-19 HAS AGAIN TIGHTENED ITS GRIP AROUND THE WORLD AND THE HEALTH SYSTEM. THIS ARTICLE GIVES AN INTRODUCTION TO EXPLAINABLE INTERACTIVE MACHINE LEARNING AND PROVIDES INSIGHTS ON HOW THIS METHOD MAY NOT ONLY HELP IN ENGINEERING MORE POWERFUL AI SYSTEMS, BUT ALSO HOW IT MAY HELP TO EASE THE BURDEN OF VIRAL STRAINS ON THE HEALTHCARE SYSTEM.
Although chest radiograph (CXR) is commonly used in diagnosing pediatric community acquired pneumonia (pCAP), limited data on interobserver agreement among radiologists exist. PedCAPNETZ is a prospective, observational, and multicenter study on pCAP. N = 233 CXR from patients with clinical diagnosis of pCAP were retrieved and n = 12 CXR without pathological findings were added. All CXR were interpreted by a radiologist at the site of recruitment and by two external, blinded pediatric radiologists. To evaluate interobserver agreement, the reporting of presence or absence of pCAP in CXR was analyzed, and prevalence and bias-adjusted kappa (PABAK) statistical testing was applied. Overall, n = 190 (82%) of CXR were confirmed as pCAP by two external pediatric radiologists. Compared with patients with pCAP negative CXR, patients with CXR-confirmed pCAP displayed higher C-reactive protein levels and a longer duration of symptoms before enrollment (p < .007). Further parameters, that is, age, respiratory rate, and oxygen saturation showed no significant difference. The interobserver agreement between the onsite radiologists and each of the two independent pediatric radiologists for the presence of pCAP was poor to fair (69%; PABAK = 0.39% and 76%; PABAK = 0.53, respectively). The concordance between the external radiologists was fair (81%; PABAK = 0.62). With regard to typical CXR findings for pCAP, chance corrected interrater agreement was highest for pleural effusions, infiltrates, and consolidations and lowest for interstitial patterns and peribronchial thickening. Our data show a poor interobserver agreement in the CXR-based diagnosis of pCAP and emphasized the need for harmonized interpretation standards.
Cystic fibrosis (CF) lung disease is aggravated by recurrent and ultimately chronic bacterial infections. One of the key pathogens in adult CF lung disease is P. aeruginosa (PA). In addition to bacteria, respiratory viral infections are suggested to trigger pulmonary exacerbations in CF. To date, little is known on how chronic infections with PA influence susceptibility and response to viral infection. We investigated the interactions between PA, human rhinovirus (HRV) and the airway epithelium in a model of chronic PA infection using differentiated primary bronchial epithelial cells (pBECs) and clinical PA isolates obtained from the respiratory sample of a CF patient. Cells were repeatedly infected with either a mucoid or a non-mucoid PA isolate for 16 days to simulate chronic infection, and subsequently co-infected with HRV. Key cytokines and viral RNA were quantified by cytometric bead array, ELISA and qPCR. Proteolytic degradation of IL-6 was analyzed by Western Blots. Barrier function was assessed by permeability tests and transepithelial electric resistance measurements. Virus infection stimulated the production of inflammatory and antiviral mediators, including interleukin (IL)-6, CXCL-8, tumor necrosis factor (TNF)-α, and type I/III interferons. Co-infection with a non-mucoid PA isolate increased IL-1β protein concentrations (28.88 pg/ml vs. 6.10 pg/ml), but in contrast drastically diminished levels of IL-6 protein (53.17 pg/ml vs. 2301.33 pg/ml) compared to virus infection alone. Conditioned medium obtained from co-infections with a non-mucoid PA isolate and HRV was able to rapidly degrade recombinant IL-6 in a serine protease-dependent manner, whereas medium from individual infections or co-infections with a mucoid isolate had no such effect. After co-infection with HRV and the non-mucoid PA isolate, we detected lower mRNA levels of Forkhead box J1 (FOXJ1) and Cilia Apical Structure Protein (SNTN), markers of epithelial cell differentiation to ciliated cells. Moreover, epithelial permeability was increased and barrier function compromised compared to single infections. These data show that PA infection can influence the response of bronchial epithelial cells to viral infection. Altered innate immune responses and compromised epithelial barrier function may contribute to an aggravated course of viral infection in PA-infected airways.
Severe acute respiratory syndrome virus 2 (SARS-CoV-2) is the cause of the current coronavirus disease 19 (COVID-19) pandemic. Protease inhibitors are under consideration as virus entry inhibitors that prevent the cleavage of the coronavirus spike (S) protein by cellular proteases. Herein, we showed that the protease inhibitor aprotinin (but not the protease inhibitor SERPINA1/alpha-1 antitrypsin) inhibited SARS-CoV-2 replication in therapeutically achievable concentrations. An analysis of proteomics and translatome data indicated that SARS-CoV-2 replication is associated with a downregulation of host cell protease inhibitors. Hence, aprotinin may compensate for downregulated host cell proteases during later virus replication cycles. Aprotinin displayed anti-SARS-CoV-2 activity in different cell types (Caco2, Calu-3, and primary bronchial epithelial cell air–liquid interface cultures) and against four virus isolates. In conclusion, therapeutic aprotinin concentrations exert anti-SARS-CoV-2 activity. An approved aprotinin aerosol may have potential for the early local control of SARS-CoV-2 replication and the prevention of COVID-19 progression to a severe, systemic disease.
Background: Pediatric community acquired pneumonia (pedCAP) is one of the leading causes for childhood morbidity accounting for up to 20% of pediatric hospital admissions in high income countries. In spite of its high morbidity, updated epidemiological and pathogen data after introduction of preventive vaccination and novel pathogen screening strategies are limited. Moreover, there is a need for validated recommendations on diagnostic and treatment regimens in pedCAP. Through collection of patient data and analysis of pathogen and host factors in a large sample of unselected pedCAP patients in Germany, we aim to address and substantially improve this situation.
Methods: pedCAPNETZ is an observational, multi-center study on pedCAP. Thus far, nine study centers in hospitals, outpatient clinics and practices have been initiated and more than 400 patients with radiologically confirmed pneumonia have been enrolled, aiming at a total of 1000 study participants. Employing an online data base, information on disease course, treatment as well as demographical and socioeconomical data is recorded. Patients are followed up until day 90 after enrollment; Comprehensive biosample collection and a central pedCAPNETZ biobank allow for in-depth analyses of pathogen and host factors. Standardized workflows to assure sample logistics and data management in more than fifteen future study centers have been established.
Discussion: Through comprehensive epidemiological, clinical and biological analyses, pedCAPNETZ fills an important gap in pediatric and infection research. To secure dissemination of the registry, we will raise clinical and scientific awareness at all levels. We aim at participating in decision making processes for guidelines and prevention strategies. Ultimately, we hope the results of the pedCAPNETZ registry will help to improve care and quality of life in pedCAP patients in the future.
A case of Lymphangioleiomyomatosis (LAM) of the lung in a patient with a history of breast cancer
(2019)
Background: Lymphangioleiomyomatosis (LAM) is a rare progressive cystic and nodular disease of the lung characterized by smooth muscle cell proliferation. LAM predominantly affects young premenopausal women. This report is of a case of LAM presenting in a 47-year-old woman with a past history of breast cancer and discusses the possibility of an association between the two conditions.
Case report: A 47-year-old woman presented as an emergency with an exacerbation of a four-month history of shortness of breath and dry cough. Her symptoms began following the start of anti-hormonal treatment with letrozole and goserelin acetate for a moderately differentiated (grade 2) invasive ductal carcinoma of the breast (pT2, pN0, M0) which was positive for expression of estrogen receptor (ER+), progesterone receptor (PR+), and human epidermal growth factor receptor 2 (HER2+). Until the previous four months, she had breast-conserving treatment with radiotherapy and tamoxifen therapy. Following hospital admission, she was found to be in type I respiratory failure. Chest X-ray, lung computed tomography (CT), and positron-emission tomography (PET) showed diffuse cystic and nodular lung lesions, consistent with a diagnosis of LAM, and antihormonal therapy was discontinued. She developed pericarditis that was treated with the anti-inflammatory agent, colchicine. Treatment with letrozole and sirolimus improved her respiratory symptoms.
Conclusions: A rare case of LAM is presented in a woman with a recent history of breast cancer. Because both tumors were hormone-dependent, this may support common underlying gene associations and signaling pathways between the two types of tumor.