scholarly journals Excellence in PNH in Canada (EPIC): A Single Centre Pilot Project Evaluating Disease Trajectory for PNH Patients Receiving Eculizumab

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4879-4879
Author(s):  
Michael James Vernon ◽  
Kevin H. M. Kuo ◽  
Rebecca Leroux ◽  
Christopher J. Patriquin

Abstract Introduction: Paroxysmal nocturnal hemoglobinuria (PNH) is a rare disease caused by mutations that impair formation of GPI anchors. Absence of GPI-linked molecules CD55 and CD59 renders blood cells sensitive to complement-mediated damage. The classic presentation includes intravascular hemolysis, thrombophilia, and marrow failure. Other symptoms, such as fatigue, dysphagia, and abdominal pain may also occur. Eculizumab inhibits complement protein C5 and has drastically improved outcomes in PNH. Despite greater awareness of PNH since eculizumab's approval, it remains a rare disease and patients may go years without a diagnosis. To investigate this, we reviewed our centre's experience to identify areas that could be improved upon. Methods: A retrospective review was completed of PNH patients followed at our centre over the last 5 years. Data was collected via chart review and interviews. Information collected included age of symptom onset, time from symptoms to assessment, hematology referral, diagnosis, and to start of therapy. Laboratory investigations were also recorded. Patients with small clones (<10%) were excluded as they would not qualify for eculizumab. Results: Nine patients were enrolled (6 male, 3 female). Table 1 summarizes their presenting features. For reference, the same categories are presented for Canadian patients in the International PNH Registry. Figure 1 shows symptom progression from onset, diagnosis, and start of therapy. Average age at symptom onset was 38.2±20.5 years. Cytopenia was the most common presentation (78%). Dark urine occurred in 88%. Three patients (33%) reported fatigue as their first symptom. One, with aplastic anemia (AA) and treated with immunosuppression, developed abdominal pain and dark urine 7 years later and was found to have PNH despite negative initial testing. Table 2 summarizes individual patient timelines for diagnosis and treatment. Average time from initial symptom to medical assessment was 2.7±6.6 years, though 7 (78%) presented within several weeks. One did not present until 20 years after anemia and jaundice occurred, as she was asymptomatic. Another patient waited 4 years before assessment because he occasionally experienced dark urine with exertion and attributed this to exercise. Median duration from presentation to diagnosis was 3 years (range: 0.05-30); however, 3 (33%) patients were diagnosed within one month. One was diagnosed when he presented with worsening anemia one year after initial presentation. Another presented in 1975 with renal dysfunction, underwent extensive evaluation, but not diagnosed with PNH for 30 years. Dark urine with anemia prompted evaluation in 79%. Three reported abdominal pain, 22% jaundice, 22% dysphagia, 11% dyspnea, and 67% were fatigued. Only one patient in our cohort developed thromboembolism (11%), compared to 19% of Canadians in the International PNH Registry. This patient was anemic and jaundiced for many years but only after developing hepatic vein thrombosis was she was evaluated for PNH. Patients saw a median of 4 health care providers (HCP) (range: 2-8) before diagnosis. Six saw general practitioners (GP) and emergency physicians before hematology and 3 saw other specialists first. One saw dermatology for a rash not initially realized to be thrombocytopenic petechiae. He was then referred to hematology after developing severe anemia as well. One saw several nephrologists for dark urine; he was diagnosed with glomerulonephritis, and this was not re-evaluated for 20 years. One saw urology and gastroenterology before hematology referral. Two were worked up for PNH after their GPs retired and were reviewed by new ones. Eight patients (89%) are currently on eculizumab. One does not meet funding criteria. The average time between diagnosis and initiation of therapy was 1.3±1.7 years. Conclusion: PNH is rare and can present in heterogeneous ways. Outside hematology, HCPs may rarely encounter patients, if ever. Time interval between onset of symptoms to formal diagnosis in our cohort had the greatest duration and variation. Once diagnosed, all patients in our cohort were initiated on therapy quite rapidly save for one who had a nine-year delay between diagnosis and availability of eculizumab in Canada. The greatest delay in this cohort was the time from symptom onset to diagnosis, suggesting that a focus on increasing awareness of PNH may be the area where most efforts should be placed. Disclosures Patriquin: Octapharma: Honoraria; Alexion Pharmaceuticals, Inc.: Consultancy, Honoraria, Other: Travel Support and is site investigator for clinical trials with the company; Ra Pharmaceuticals: Consultancy, Research Funding.

2021 ◽  
Author(s):  
William A. Gahl ◽  
Durhane Wong-Rieger ◽  
Virginie Hivert ◽  
Rachel Yang ◽  
Galliano Zanello ◽  
...  

Abstract Background Treatments are often unavailable for rare disease patients, especially in low-and-middle-income countries. Reasons for this include lack of financial support for therapies and onerous regulatory requirements for approval of drugs. Other barriers include lack of reimbursement, administrative infrastructure, and knowledge about diagnosis and drug treatment options. The International Rare Diseases Research Consortium set up the Rare Disease Treatment Access Working Group with the first objective to develop an essential list of medicinal products for rare diseases. Results The Working Group extracted 215 drugs with Orphan designation in the FDA, EMA databases and/or China’s Rare Diseases Catalog. The drugs were organized in seven disease categories: metabolic, neurologic, hematologic, anti-inflammatory, endocrine, pulmonary, and immunologic, plus a miscellaneous category. Conclusions The proposed list of essential medicinal products for rare diseases is intended to initiate discussion and collaboration among patient advocacy groups, health care providers, industry and government agencies to enhance access to appropriate medicines for all rare disease patients throughout the world.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ariful Basher ◽  
Proggananda Nath ◽  
Shah Golam Nabi ◽  
Shahjada Selim ◽  
Md Fashiur Rahman ◽  
...  

Post-Kala-Azar Dermal Leishmaniasis (PKDL) remains a major public health threat in Bangladesh. A cross-sectional study was carried out in Surya Kanta Kala azar Research Centre (SKKRC), Mymensingh, from January 2012 to July 2013 to evaluate the health seeking behaviour and the length of delay of PKDL management. The consecutive 200 diagnosed PKDL cases that got treatment in SKKRC hospital were subjected to evaluation. Most (98%) of the patients were not aware and had no knowledge about PKDL, though 87.5% had a history of history of Kala-azar treatment. Many patients reported first to village doctor (15.5%), the pharmacy shop (10%), or traditional health provider (7.5%) upon recognition of symptom. The time between the initial symptom recognition and first medical consultation (patient delay) ranged from 10 days to 4745 days (13 years) with a median of 373 days (mean: 696; IQR: 138 to 900 days). The time between first medical consultations to definite treatment (system delay) ranged from 0 days to 1971 days (5.4 years), with a median delay of 14 days (mean: 46.48; IQR: 7 to 44 days) that was reported in this study. Age, education, occupation, and residential status had significant association with patient delay (P<0.05). Educational status, occupation, number of treatment providers, and first health care provider had a significant association with system delay (P<0.05). Success in PKDL diagnosis and treatment requires specific behavior from patients and health care providers which facilitate those practices.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Caleb R. Matthews ◽  
Mackenzie Madison ◽  
Lava R. Timsina ◽  
Niharika Namburi ◽  
Zainab Faiza ◽  
...  

AbstractThere is a paucity of data describing the effect of time interval between diagnosis and surgery for Acute Type A Aortic Dissection. We describe our 8-year experience and investigate the impact of time interval between symptom onset, diagnosis and surgery on outcomes. Retrospective single-center study utilizing our Society of Thoracic Surgeons registry and patient records. Subjects were grouped by time interval between radiographic diagnosis and surgical treatment: Group A (0–4 h), Group B (4.1–8 h), Group C (8.1–12 h), and Group D (12.1 + h). Data were analyzed to identify factors associated with mortality and outcomes. 164 patients were included. Overall mortality was 21.3%. Group C had the greatest intervals between symptom onset to diagnosis to surgery, and also the highest mortality (66.7%). Preoperative tamponade, cardiac arrest, malperfusion, elevated creatinine, cardiopulmonary bypass time, and blood transfusions were associated with increased mortality, while distance of referring hospital was not. Time intervals between symptom onset, diagnosis and surgery have a significant effect on mortality. Surgery performed 8–12 h after diagnosis carries the highest mortality, which may be exacerbated by longer interval since symptom onset. Time-dependent effects should be considered when determining optimal strategy especially if inter-facility transfer is necessary.


10.2196/18097 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e18097
Author(s):  
Aleksandar Ćirković

Background Consumer-oriented mobile self-diagnosis apps have been developed using undisclosed algorithms, presumably based on machine learning and other artificial intelligence (AI) technologies. The US Food and Drug Administration now discerns apps with learning AI algorithms from those with stable ones and treats the former as medical devices. To the author’s knowledge, no self-diagnosis app testing has been performed in the field of ophthalmology so far. Objective The objective of this study was to test apps that were previously mentioned in the scientific literature on a set of diagnoses in a deliberate time interval, comparing the results and looking for differences that hint at “nonlocked” learning algorithms. Methods Four apps from the literature were chosen (Ada, Babylon, Buoy, and Your.MD). A set of three ophthalmology diagnoses (glaucoma, retinal tear, dry eye syndrome) representing three levels of urgency was used to simultaneously test the apps’ diagnostic efficiency and treatment recommendations in this specialty. Two years was the chosen time interval between the tests (2018 and 2020). Scores were awarded by one evaluating physician using a defined scheme. Results Two apps (Ada and Your.MD) received significantly higher scores than the other two. All apps either worsened in their results between 2018 and 2020 or remained unchanged at a low level. The variation in the results over time indicates “nonlocked” learning algorithms using AI technologies. None of the apps provided correct diagnoses and treatment recommendations for all three diagnoses in 2020. Two apps (Babylon and Your.MD) asked significantly fewer questions than the other two (P<.001). Conclusions “Nonlocked” algorithms are used by self-diagnosis apps. The diagnostic efficiency of the tested apps seems to worsen over time, with some apps being more capable than others. Systematic studies on a wider scale are necessary for health care providers and patients to correctly assess the safety and efficacy of such apps and for correct classification by health care regulating authorities.


2009 ◽  
Vol 36 (2) ◽  
pp. 410-415 ◽  
Author(s):  
NATALIE J. SHIFF ◽  
REEM ABDWANI ◽  
DAVID A. CABRAL ◽  
KRISTIN M. HOUGHTON ◽  
PETER N. MALLESON ◽  
...  

Objective.Early recognition and treatment of pediatric rheumatic diseases is associated with improved outcome. We documented access to pediatric rheumatology subspecialty care for children in British Columbia (BC), Canada, referred to the pediatric rheumatology clinic at BC Children’s Hospital, Vancouver.Methods.An audit of new patients attending the outpatient clinic from May 2006 to February 2007 was conducted. Parents completed a questionnaire through a guided interview at the initial clinic assessment. Referral dates were obtained from the referral letters. Patients were classified as having rheumatic disease, nonrheumatic disease, or a pain syndrome based on final diagnosis by a pediatric rheumatologist.Results.Data were collected from 124 of 203 eligible new patients. Before pediatric rheumatology assessment, a median of 3 healthcare providers were seen (range 1–11) for a median of 5 visits (range 1–39). Overall, the median time interval from symptom onset to pediatric rheumatology assessment was 268 days (range 13–4989), and the median time interval from symptom onset to referral to pediatric rheumatology was 179 days (range 3–4970). Among patients ultimately diagnosed with rheumatic diseases (n = 53), there was a median of 119 days (range 3–4970) from symptom onset to referral, and 169 days (range 31–4989) from onset to pediatric rheumatology assessment.Conclusion.Children and adolescents with rheumatic complaints see multiple care providers for multiple visits before referral to pediatric rheumatology, and there is often a long interval between symptom onset and this referral.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
F Rubba ◽  
R Alfano ◽  
D Schiavone ◽  
M S Scamardo ◽  
D Landolfo ◽  
...  

Abstract Background In Rare diseases patients. difficult in diagnosis can produce inappropriate pathways of care. A correct diagnosis took almost 5 years in Europe and 7.3-7.6 y in US. The directive 2011/24/EU provides a legal regulatory asset for the European Reference Networks (ERNs). ERNs are designed to connect health care providers and centers of expertise for gaining appropriate pathways of high-quality care and to support sponsorship in order to make healthcare closer to the patients. Federico II University actually has 9 confirmed ERNs. Methods We connected the patient related activities inside the ERNs and we planned a project-based network that creates harmonization of diagnostic tools and widespread diffusion of screening activity able to drive diagnostic enrichment. The Hospital Chief Office together with the Public Health Department acts as “Knowledge brokers” (KB) defined as connectors who may crisscross the hierarchical boundaries. We scheduled interventions into the ERNs and future improvements. Interventions areas have been represented in a conceptual map. Results Brokers into the network are attended to allow better merged innovation rate and sharing data. Improvements could be directed toward: 1) sharing data and communication, 2) diagnostic enrichment 3) hospital services networking into the path. Including this model in the regional pathways may build a common platform to support appropriate care in disease-endemic regions. The designed model finally aimed at define how humanization and networking of care can be measured as gain in efficiency along the overall path. Conclusions Network potential may overload a simply specific hub focused approach. The “criss cross” knowledge brokering (could be a strategy able to support clinical and diagnostic activities. To proceed over, in orphan disease handling, we may progress from approaches centered on florid cases toward a balanced screening design, able to guarantee a diagnostic enrichment for a rare condition. Key messages Implicit and formal Networking cam help rare disease handling. Sharing data and diagnostic enrichment are the main issues.


2020 ◽  
Author(s):  
Aleksandar Ćirković

BACKGROUND Consumer-oriented mobile self-diagnosis apps have been developed using undisclosed algorithms, presumably based on machine learning and other artificial intelligence (AI) technologies. The US Food and Drug Administration now discerns apps with learning AI algorithms from those with stable ones and treats the former as medical devices. To the author’s knowledge, no self-diagnosis app testing has been performed in the field of ophthalmology so far. OBJECTIVE The objective of this study was to test apps that were previously mentioned in the scientific literature on a set of diagnoses in a deliberate time interval, comparing the results and looking for differences that hint at “nonlocked” learning algorithms. METHODS Four apps from the literature were chosen (Ada, Babylon, Buoy, and Your.MD). A set of three ophthalmology diagnoses (glaucoma, retinal tear, dry eye syndrome) representing three levels of urgency was used to simultaneously test the apps’ diagnostic efficiency and treatment recommendations in this specialty. Two years was the chosen time interval between the tests (2018 and 2020). Scores were awarded by one evaluating physician using a defined scheme. RESULTS Two apps (Ada and Your.MD) received significantly higher scores than the other two. All apps either worsened in their results between 2018 and 2020 or remained unchanged at a low level. The variation in the results over time indicates “nonlocked” learning algorithms using AI technologies. None of the apps provided correct diagnoses and treatment recommendations for all three diagnoses in 2020. Two apps (Babylon and Your.MD) asked significantly fewer questions than the other two (<i>P</i>&lt;.001). CONCLUSIONS “Nonlocked” algorithms are used by self-diagnosis apps. The diagnostic efficiency of the tested apps seems to worsen over time, with some apps being more capable than others. Systematic studies on a wider scale are necessary for health care providers and patients to correctly assess the safety and efficacy of such apps and for correct classification by health care regulating authorities.


2017 ◽  
Vol 5 (2) ◽  
pp. 134-139 ◽  
Author(s):  
Lauren Nicholas ◽  
Rebecca Fischbein ◽  
Lynn Falletta ◽  
Kristin Baughman

Objective: The aim of this study was to assess patient experiences when reporting symptoms of twin–twin transfusion syndrome (TTTS) to their health-care providers. Methodology: The study utilized an online, retrospective survey of women, over the age of 18, who were living in the United States at the time of their pregnancy and had completed a TTTS pregnancy. Results: Three hundred sixty-seven cases were included for analysis. Nearly half of the respondents (45.2%) reported experiencing maternal symptoms prior to TTTS diagnosis. The average number of symptoms experienced was 2.85. The average gestational week of symptom onset was 18.2. A total of 76.2% of respondents experiencing symptoms shared these concerns with their health-care provider; however, slightly more than half (51.2%) believed that the provider dismissed their complaints. Conclusions: Results suggest a disconnect between patients’ reporting TTTS symptoms and health-care providers responding attentively, as perceived by the patient. It would be advantageous for health-care providers to inform women pregnant with a monochorionic–diamniotic pregnancy to immediately report the presence of any symptom described in the present research, which may be associated with any number of twin pregnancy–related complications.


2020 ◽  
Vol 163 (1) ◽  
pp. 132-134 ◽  
Author(s):  
Rachel Kaye ◽  
C. W. David Chang ◽  
Ken Kazahaya ◽  
Jean Brereton ◽  
James C. Denneny

There is accumulating anecdotal evidence that anosmia and dysgeusia are associated with the COVID-19 pandemic. To investigate their relationship to SARS-CoV2 infection, the American Academy of Otolaryngology–Head and Neck Surgery developed the COVID-19 Anosmia Reporting Tool for Clinicians for the basis of this pilot study. This tool allows health care providers to confidentially submit cases of anosmia and dysgeusia related to COVID-19. We analyzed the first 237 entries, which revealed that anosmia was noted in 73% of patients prior to COVID-19 diagnosis and was the initial symptom in 26.6%. Some improvement was noted in 27% of patients, with a mean time to improvement of 7.2 days in this group (85% of this group improved within 10 days). Our findings suggest that anomia can be a presenting symptom of COVID-19, consistent with other emerging international reports. Anosmia may be critical in timely identification of individuals infected with SARS-CoV2 who may be unwittingly transmitting the virus.


2017 ◽  
Vol 158 (47) ◽  
pp. 1851-1856
Author(s):  
Gábor Pogány

Abstract: The aim was to present the actual situation of rare diseases, especially to characterize the circumstances in Hungary. The most important developments were summarized which could help the care of rare disease patients in the everyday practice. There are around 800 000 patients with rare diseases in Hungary. The lack of information leads to „invisibility” for the health and social care system (most of them without ICD code). Therefore, these patients still have a huge disadvantage even when compared to the patients of common diseases. Important national and international measures took place in the last years to decrease these disadvantages. The Hungarian Centres of Expertise were officially approved, thus several health care providers were able to get membership in the forming European Reference Networks. The rare disease specific “Lifebelt” Information Centre and Help Line was established by HUFERDIS. These steps assist the implementation of the National Rare Disease Plan, although its formal approval process has temporarily stopped because of the reorganization of the health care system. The summarized developments can contribute to define better patient directions, and thus decrease the family knocks about the maze of health, social and educational systems. The realization of Rare Disease National Strategy is needed to improve the current fragmentation of services and enable patients and health, social and educational professionals to provide and use best practice care. This will ensure that all patients with rare disease cannot only be diagnosed quickly, but also have timely access to the care and support that they need, resulting in a decreasing burden of families and society. Orv Hetil. 2017; 158(47): 1851–1856.


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