Whole Pulmonary Lavage: Treating Pulmonary Alveolar Proteinosis At The Time of COVID Pandemic (preprint)

Pulmonary alveolar proteinosis (PAP) is a rare syndrome due to increased production or decreased clearance of surfactant in alveoli and terminal bronchi that cause hypoxemic respiratory insufficiency. Here we present a patient with past medical history of PAP whose disease was exacerbated by superimposed COVID-19 pneumonia. He underwent whole pulmonary lavage (WPL). Evaluation of the viral count of the first and the last lavage of the left lung showed viral load in the alveolar space dropped by approximately 10-folds, however the magnitude of the viral load was substantial in both lavage samples. Whole pulmonary lavage may be used as a treatment option on patients with COVID pneumonia superimposed on a pulmonary alveolar proteinosis (PAP) exacerbation.

Trajectories of Depression and Anxiety in Adults with Rare Disorders across 13 Months During the COVID-19 Pandemic (preprint)

Background Adults with rare disorders experience multiple psychosocial risk factors beyond their medical symptoms, including impaired quality of life, social isolation, loneliness, and mental health problems. These risk factors were amplified during the COVID-19 pandemic, when health care appointments and social/vocational activities were reduced or cancelled.Methods We conducted a monthly survey of 58 adults aged between 19 and 71 years (M = 45.1 years, SD = 12.6) with rare disorders across 13 months during the COVID-19 pandemic. We measured symptoms of anxiety and depression with the Hopkins Symptom Checklist-5. Covid fear was measured with the Coronavirus Anxiety Scale. We examined the mental health and covid fear trajectories across the 13 months with multi-level growth curve models with repeated measures at Level 1 and individuals at Level 2. To account for differences in governmental restrictions throughout the 13 months, we used the stringency index from The Oxford Covid-19 Government Response Tracker.Results The growth models indicated stable levels of anxiety and depression over 13 months that were elevated compared to existing population data and were unpredicted by pandemic restrictions. The level of covid fear was significantly associated with the levels of anxious and depressive symptoms.Conclusions The current study found no improvement in mental health symptoms throughout the pandemic for persons with rare disorders. This highlights the necessity of investigating the long-lasting influence of the pandemic on mental health among individuals with rare disorders.

A nationwide study of 331 rare diseases among 58 million individuals: prevalence, demographics, and COVID-19 outcomes (preprint)

Background: The Global Burden of Disease study has provided key evidence to inform clinicians, researchers, and policy makers across common diseases, but no similar effort with single study design exists for hundreds of rare diseases. Consequently, many rare conditions lack population-level evidence including prevalence and clinical vulnerability. This has led to the absence of evidence-based care for rare diseases, prominently in the COVID-19 pandemic. Method: This study used electronic health records (EHRs) of more than 58 million people in England, linking nine National Health Service datasets spanning healthcare settings for people alive on Jan 23, 2020. Starting with all rare diseases listed in Orphanet, we quality assured and filtered down to analyse 331 conditions with ICD-10 or SNOMED-CT mappings clinically validated in our dataset. We report 1) population prevalence, clinical and demographic details of rare diseases, and 2) investigate differences in mortality with SARs-CoV-2. Findings: Among 58,162,316 individuals, we identified 894,396 with at least one rare disease. Prevalence data in Orphanet originates from various sources with varying degrees of precision. Here we present reproducible age and gender-adjusted estimates for all 331 rare diseases, including first estimates for 186 (56.2%) without any reported prevalence estimate in Orphanet. We identified 49 rare diseases significantly more frequent in females and 62 in males. Similarly we identified 47 rare diseases more frequent in Asian as compared to White ethnicity and 22 with higher Black to white ratios as compared to similar ratios in population controls. 37 rare diseases were overrepresented in the white population as compared to both Black and Asian ethnicities. In total, 7,965 of 894,396 (0.9%) of rare-disease patients died from COVID-19, as compared to 141,287 of 58,162,316 (0.2%) in the full study population. Eight rare diseases had significantly increased risks for COVID-19-related mortality in fully vaccinated individuals, with bullous pemphigoid (8.07[3.01-21.62]) being worst affected. Interpretation: Our study highlights that National-scale EHRs provide a unique resource to estimate detailed prevalence, clinical and demographic data for rare diseases. Using COVID-19-related mortality analysis, we showed the power of large-scale EHRs in providing insights to inform public health decision-making for these often neglected patient populations.

Tlda: A Transfer Learning Based Dual-Augmentation Strategy for Traditional Chinese Medicine Rare Disease Syndrome Differentiation (preprint)

The Traditional Chinese Medicine (TCM) has demonstrated its significant medical value over the decades, particularly during the COVID-19 pandemic. TCM-AI interdisciplinary models have been proposed to model TCM knowledge, diagnosis, and treatment experiments in clinical practice. Among them, numerous models have been developed to simulate the syndrome differentiation process of human TCM doctors for automatic syndrome diagnosis. However, these models are designed for normal scenarios and trained using a supervised learning paradigm which needs tens of thousands of training samples. They fail to effectively differentiate syndromes in rare disease scenarios where the available TCM electronic medical records (EMRs) are very limited for each unique syndrome. To address the challenge of rare diseases, this study proposes a simple yet effective method called Transfer Learning based Dual-Augmentation (TLDA). TLDA aims to augment the limited EMRs at both the sample-level and feature-level, enriching the pathological and medical information during training. Extended experiments involving 11 comparison models, including the state-of-the-art model, demonstrate the effectiveness of TLDA. TLDA outperforms all comparison models by a significant margin. Furthermore, TLDA can also be extended to other medical tasks when the EMRs for diagnosis are limited in samples.

Platelet-neutrophil interaction in COVID-19 and vaccine-induced thrombotic thrombocytopenia.

Coronavirus disease 2019 (COVID-19) is known to commonly induce a thrombotic diathesis, particularly in severely affected individuals. So far, this COVID-19-associated coagulopathy (CAC) has been partially explained by hyperactivated platelets as well as by the prothrombotic effects of neutrophil extracellular traps (NETs) released from neutrophils. However, precise insight into the bidirectional relationship between platelets and neutrophils in the pathophysiology of CAC still lags behind. Vaccine-induced thrombotic thrombocytopenia (VITT) is a rare autoimmune disorder caused by auto-antibody formation in response to immunization with adenoviral vector vaccines. VITT is associated with life-threatening thromboembolic events and thus, high fatality rates. Our concept of the thrombophilia observed in VITT is relatively new, hence a better understanding could help in the management of such patients with the potential to also prevent VITT. In this review we aim to summarize the current knowledge on platelet-neutrophil interplay in COVID-19 and VITT.

Type I Kounis syndrome induced by COVID-19 vaccination in China: a case report.

BACKGROUND: Kounis syndrome is a rare clinical condition characterized by the occurrence of an acute coronary event induced by an acute allergic episode. The ongoing pandemic of coronavirus disease 2019 (COVID-19) has contributed to an increase in the incidence of allergic reactions to a certain extent, thereby increasing the incidence of Kounis syndrome. Timely diagnosis and effective management of this disease are important in clinical practice. CASE PRESENTATION: We report a 43-year-old woman who developed generalized pruritus, breathlessness, paroxysmal precordial crushing pain, and dyspnea after receiving the third dose of the COVID-19 vaccine. After anti-allergic treatment and therapy for acute myocardial ischemia, her symptoms resolved with improvement in cardiac function and resolution of ST-segment changes. The prognosis was satisfactory, and the final diagnosis was type I Kounis syndrome. CONCLUSION: This patient with type I Kounis syndrome rapidly developed acute coronary syndrome (ACS) after an acute allergic reaction to the COVID-19 vaccine. ​Timely diagnosis of acute allergic reaction and ACS, and targeted treatment based on the relevant guidelines are the key to successful treatment of the syndrome.​.

SARS-CoV-2-induced adrenal crisis in a patient with autoimmune polyglandular syndrome type 1: case report.

Autoimmune polyglandular syndromes (APS) are rare disorders characterized by the coexistence of endocrine and non-endocrine dysfunctions mediated by autoimmune mechanisms. Autoimmune polyglandular syndrome type 1 is defined as coexistence of chronic mucocutaneous candidiasis, hypoparathyroidism, and autoimmune adrenal insufficiency. Addison's disease as the obligatory component is potentially life threatening.Herein, we demonstrate a case of a 44-year-old woman with APS-1 (hypoparathyroidism, adrenal insufficiency, hypergonadotropic hypogonadism) and SARS-CoV-2-induced adrenal crisis. The patient presented with the typical manifestations of hypotensive shock, electrolyte disturbances of hyponatremia and hyperkalemia, and hypoglycaemia.Our case report illustrates the increased risk of severe course of COVID-19 in APS-1 syndrome patients along with heightened exposure to medical complications. The case reinforced the significance of a timely diagnosis, appropriate treatment, and education of patients with such a rare condition like APS-1.

Impact of SARS-CoV-2 infection in patients with hereditary hemorrhagic telangiectasia: epidemiological and clinical data from the comprehensive Italian retrospective multicenter study.

Rare Disease patients manifested high concern regarding the possible increased risk of severe outcomes and worsening of disease-specific clinical manifestation due to the impact of COVID-19. Our aim was to assess the prevalence, outcomes, and impact of COVID-19 in patients with a rare disease such as Hereditary Hemorrhagic Telangiectasia (HHT) in Italian population. A nationwide, multicentric, cross-sectional observational study was conducted on patients with HHT from five Italian HHT centers by online survey. The association between COVID-19-related signs and symptoms and nosebleeds worsening, the impact of personal protective equipment on nosebleeds pattern, and the relationship between the presence of visceral AVMs and severe outcomes were analyzed. Out of 605 total survey responses and eligible for analysis, 107 cases of COVID-19 were reported. A mild-course COVID-19 disease, not requiring hospitalization, was observed in 90.7% of patients, while the remaining eight cases needed hospitalization, two of them requiring intensive-care access. No fatal outcome was recorded and 79.3% of patients reported a complete recovery. No difference in infection risk and outcome between HHT patients and general population was evidenced. No significative interference of COVID-19 on HHT-related bleeding was found. The majority of patients received COVID-19 vaccination, with relevant impact on symptoms and need for hospitalization in case of infection. COVID-19 in HHT patients had an infection profile similar to the general population. COVID-19 course and outcome were independent from any specific HHT-related clinical features. Moreover, COVID-19 and anti-SARS-CoV-2 measures did not seem to affect significantly HHT-related bleeding profile.

The effect of the COVID-19 pandemic on US Food and Drug Administration-funded clinical trials and natural history studies for rare diseases.

BACKGROUND: Since 1983, the Orphan Product Grants Program, administered by the US Food and Drug Administration, provides funding for clinical trials and natural history studies in rare diseases. The COVID-19 pandemic created new challenges in rare disease product development. This study sought to determine the effects of the pandemic on rare disease studies using data from grantees of this program, and determine lessons learned that can potentially be applied to future trials in rare diseases. METHODS: All grants that were being funded by the Orphan Products Grants Program between March 2020 and March 2021 were included in the study. Data was gathered from grantees and described the effects of the pandemic on multiple aspects of the studies including enrollment, patient follow-up, protocol, and budget. RESULTS: There were 62 grants active during the study period, and of these 54 (87%) were clinical trials and 8 (13%) were natural history studies. 94% of the grantees reported their studies being affected by the COVID-19 pandemic, and the addition of virtual capabilities was reported by 34 (55%) of grantees. CONCLUSIONS: This study suggested two important lessons learned. First, virtual capabilities, when appropriate, can be an important component of trials because they decrease the travel burden on participants and reduce in-person risks, which should increase patient recruitment and retention. Second, building in flexibility in clinical trials is critical in the post-COVID era and could include increasing the use of multi-site trials, clinical networks, and innovative designs and collaborations to speed up trials without compromising study data.

Disruptions in the Cystic Fibrosis Community's Experiences and Concerns During the COVID-19 Pandemic: Topic Modeling and Time Series Analysis of Reddit Comments.

BACKGROUND: The COVID-19 pandemic disrupted the needs and concerns of the cystic fibrosis community. Patients with cystic fibrosis were particularly vulnerable during the pandemic due to overlapping symptoms in addition to the challenges patients with rare diseases face, such as the need for constant medical aid and limited information regarding their disease or treatments. Even before the pandemic, patients vocalized these concerns on social media platforms like Reddit and formed communities and networks to share insight and information. This data can be used as a quick and efficient source of information about the experiences and concerns of patients with cystic fibrosis in contrast to traditional survey- or clinical-based methods. OBJECTIVE: This study applies topic modeling and time series analysis to identify the disruption caused by the COVID-19 pandemic and its impact on the cystic fibrosis community's experiences and concerns. This study illustrates the utility of social media data in gaining insight into the experiences and concerns of patients with rare diseases. METHODS: We collected comments from the subreddit r/CysticFibrosis to represent the experiences and concerns of the cystic fibrosis community. The comments were preprocessed before being used to train the BERTopic model to assign each comment to a topic. The number of comments and active users for each data set was aggregated monthly per topic and then fitted with an autoregressive integrated moving average (ARIMA) model to study the trends in activity. To verify the disruption in trends during the COVID-19 pandemic, we assigned a dummy variable in the model where a value of "1" was assigned to months in 2020 and "0" otherwise and tested for its statistical significance. RESULTS: A total of 120,738 comments from 5827 users were collected from March 24, 2011, until August 31, 2022. We found 22 topics representing the cystic fibrosis community's experiences and concerns. Our time series analysis showed that for 9 topics, the COVID-19 pandemic was a statistically significant event that disrupted the trends in user activity. Of the 9 topics, only 1 showed significantly increased activity during this period, while the other 8 showed decreased activity. This mixture of increased and decreased activity for these topics indicates a shift in attention or focus on discussion topics during this period. CONCLUSIONS: There was a disruption in the experiences and concerns the cystic fibrosis community faced during the COVID-19 pandemic. By studying social media data, we were able to quickly and efficiently study the impact on the lived experiences and daily struggles of patients with cystic fibrosis. This study shows how social media data can be used as an alternative source of information to gain insight into the needs of patients with rare diseases and how external factors disrupt them.

Decentralized clinical trials and rare diseases: a Drug Information Association Innovative Design Scientific Working Group (DIA-IDSWG) perspective.

BACKGROUND: Traditional clinical trials require tests and procedures that are administered in centralized clinical research sites, which are beyond the standard of care that patients receive for their rare and chronic diseases. The limited number of rare disease patients scattered around the world makes it particularly challenging to recruit participants and conduct these traditional clinical trials. MAIN BODY: Participating in clinical research can be burdensome, especially for children, the elderly, physically and cognitively impaired individuals who require transportation and caregiver assistance, or patients who live in remote locations or cannot afford transportation. In recent years, there is an increasing need to consider Decentralized Clinical Trials (DCT) as a participant-centric approach that uses new technologies and innovative procedures for interaction with participants in the comfort of their home. CONCLUSION: This paper discusses the planning and conduct of DCTs, which can increase the quality of trials with a specific focus on rare diseases.

Impact of COVID-19 on a rare disease (uveal melanoma) in a national reference unit of intraocular tumors in Spain.

OBJECTIVE: To analyse the impact of the COVID-19 pandemic on the diagnosis and management of uveal melanoma (a tumour included in the Orphanet catalogue of rare diseases) in a Spanish national reference unit for intraocular tumours during the first year of the pandemic. METHOD: An observational retrospective study of patients with uveal melanoma in the National Reference Unit for Adult Intraocular Tumors of the Hospital Clínico Universitario de Valladolid (Spain) was performed, analysing the pre- and post-COVID-19 periods: from March 15, 2019 to March 15, 2020 and from March 16, 2020 to March 16, 2021. Demographic data, diagnostic delay, tumour size, extraocular extension, treatment and evolution were collected. A multivariable logistic regression model was used to identify factors that were associated with the variable: enucleation. RESULTS: Eighty-two patients with uveal melanoma were included, of which 42 (51.21%) belonged to the pre-COVID-19 period and 40(40.78%) to the post-COVID-19 period. An increase in tumour size at diagnosis and in the number of enucleations was observed during the post-COVID-19 period (p < 0.05). Multivariable logistic regression demonstrated that both medium-large tumour size and patients diagnosed in the post-COVID-19 period were independently related to an increased risk of enucleation (OR 250, 95%CI, 27.69-2256.37; p < 0.01 and OR 10; 95%CI, 1.10-90.25; p = 0.04, respectively). CONCLUSIONS: The increase in tumour size observed in uveal melanomas diagnosed during the first year of the COVID-19 pandemic may have favored the increase in the number of enucleations performed during that period.

Twist-Net: A multi-modality transfer learning network with the hybrid bilateral encoder for hypopharyngeal cancer segmentation.

Hypopharyngeal cancer (HPC) is a rare disease. Therefore, it is a challenge to automatically segment HPC tumors and metastatic lymph nodes (HPC risk areas) from medical images with the small-scale dataset. Combining low-level details and high-level semantics from feature maps in different scales can improve the accuracy of segmentation. Herein, we propose a Multi-Modality Transfer Learning Network with Hybrid Bilateral Encoder (Twist-Net) for Hypopharyngeal Cancer Segmentation. Specifically, we propose a Bilateral Transition (BT) block and a Bilateral Gather (BG) block to twist (fuse) high-level semantic feature maps and low-level detailed feature maps. We design a block with multi-receptive field extraction capabilities, M Block, to capture multi-scale information. To avoid overfitting caused by the small scale of the dataset, we propose a transfer learning method that can transfer priors experience from large computer vision datasets to multi-modality medical imaging datasets. Compared with other methods, our method outperforms other methods on HPC dataset, achieving the highest Dice of 82.98%. Our method is also superior to other methods on two public medical segmentation datasets, i.e., the CHASE_DB1 dataset and BraTS2018 dataset. On these two datasets, the Dice of our method is 79.83% and 84.87%, respectively. The code is available at: https://github.com/zhongqiu1245/TwistNet.

Bilateral acute depigmentation of the iris determined in two cases after COVID-19 infection.

Bilateral acute depigmentation of the iris (BADI) is a rare disease characterized by iris atrophy. Although it can be self-limiting, it is sometimes progressive and can lead to glaucoma and severe vision loss. Two female patients were admitted to our clinic because of a change in iris color following coronavirus disease 2019 (COVID-19) infection. After the exclusion of other etiologies in the eye examination, BADI was diagnosed in both cases. Thus, it was shown that COVID-19 may also be involved in the etiology of BADI.

Antibody prevalence after 3 or more COVID-19 vaccine doses in 23,000 immunosuppressed individuals: a cross-sectional study from MELODY (preprint)

Objectives: To investigate the prevalence of spike-protein antibodies following at least 3 COVID-19 vaccine doses in immunocompromised individuals. Design Cross-sectional study using UK national disease registries of individuals with solid organ transplants (SOT), rare autoimmune rheumatic diseases (RAIRD) and lymphoid malignancies (LM). Setting: Participants were identified, invited and recruited at home by accessing the NHS Blood and Transplant Registry for those UK individuals who had received a SOT; and the National Disease Registration Service at NHS Digital for identifying individuals within England with RAIRD or LM. Participants: 101972 people were invited, 28411 recruited, and 23036 provided serological data, comprising 9927 SOT recipients, 6516 with RAIRD, and 6593 with LM. Interventions: Participants received a lateral flow immunoassay for spike-protein antibodies to perform at home together with an online questionnaire. Main outcome measures Odds of detectable IgG spike-protein antibodies in immunosuppressed cohorts following at least three COVID-19 vaccine doses by participant demographic, disease type, and treatment related characteristics Results: IgG spike-protein antibodies were undetectable in 23.3%, 14.1% and 20.7% of the SOT, RAIRD and LM cohorts, respectively. Participants had received three, four or [≥]five vaccine doses at the time of testing in 28.5%, 61.8%, and 9.6%, respectively. In all groups, seropositivity was associated with younger age, higher number of vaccine doses and previous COVID-19 infection. Immunosuppressive medication reduced the likelihood of seropositivity: the lowest odds of seropositivity were found in SOT recipients receiving an anti-proliferative agent, calcineurin inhibitor and steroid concurrently, and those treated with anti-CD20 in the RAIRD and LM cohorts. Conclusions: Approximately one in five individuals with SOT, RAIRD and LM have no detectable IgG spike-protein antibodies despite three or more vaccines, but this proportion reduces with sequential booster doses. Choice of immunosuppressant and disease-type is strongly associated with serological response. Antibody testing could enable rapid identification of individuals who are most likely to benefit from additional COVID-19 interventions.

COVID-19 in people with neurofibromatosis 1, neurofibromatosis 2, or schwannomatosis.

PURPOSE: People with pre-existing conditions may be more susceptible to severe COVID-19 when infected by SARS-CoV-2. The relative risk and severity of SARS-CoV-2 infection in people with rare diseases such as neurofibromatosis type 1 (NF1), neurofibromatosis type 2 (NF2), or schwannomatosis (SWN) is unknown. METHODS: We investigated the proportions of people with NF1, NF2, or SWN in the National COVID Cohort Collaborative (N3C) electronic health record data set who had a positive test result for SARS-CoV-2 or COVID-19. RESULTS: The cohort sizes in N3C were 2501 (NF1), 665 (NF2), and 762 (SWN). We compared these with N3C cohorts of patients with other rare diseases (98-9844 individuals) and the general non-NF population of 5.6 million. The site- and age-adjusted proportion of people with NF1, NF2, or SWN who had a positive test result for SARS-CoV-2 or COVID-19 (collectively termed positive cases) was not significantly higher than in individuals without NF or other selected rare diseases. There were no severe outcomes reported in the NF2 or SWN cohorts. The proportion of patients experiencing severe outcomes was no greater for people with NF1 than in cohorts with other rare diseases or the general population. CONCLUSION: Having NF1, NF2, or SWN does not appear to increase the risk of being SARS-CoV-2 positive or of being a patient with COVID-19 or of developing severe complications from SARS-CoV-2.

The psychosocial situation of families caring for children with rare diseases during the COVID-19 pandemic: results of a cross-sectional online survey.

BACKGROUND: The COVID-19 pandemic is affecting many areas of life and has posed additional strains on the highly vulnerable group of caregivers of children with rare diseases (RDs). The psychosocial situation of the family caregivers deserves more attention, both in research and practice. The current study explores the distress level of caregivers of children with RDs, their psychosocial information needs, and caregiver-reported health-related quality of life (HRQoL) of children with RDs in times of the COVID-19 pandemic. METHODS: Data from a cross-sectional online survey conducted within the German CARE-FAM-NET project (children affected by rare diseases and their families-network) between March and August 2020 were examined. The study sample included 149 family caregivers, mostly mothers (83.2%) of 167 children with RDs. The survey assessed demographic and disease-related characteristics, distress and everyday problems of caregivers (Distress Thermometer for Parents; scale 0-10), psychosocial information needs (self-developed items; scale 0-100), and caregiver-reported HRQoL of the children with RDs (DISABKIDS Chronic Generic Measure, short-form; scale 0-100). Using descriptive statistics, we analyzed the psychosocial situation of families during the COVID-19 pandemic. We further conducted correlation analysis to investigate interrelations. RESULTS: The distress level among caregivers was high (M = 6.84, SD = 2.43); 89.6% reported clinical distress (≥ 4). Everyday problems (e.g., sleep problems, fatigue, being out of shape, fears, feeling tense or nervous, and worry) were frequent. Caregivers reported a wide range of psychosocial information needs. In about half of the children (49.5%), caregiver-reported HRQoL was low, while average HRQoL (M = 58.7, SD = 19.5) was comparable to parent-reported norm data of children with severe clinical conditions. Distress correlated positively with psychosocial information needs (r = 0.40), and negatively with the caregiver-reported HRQoL of the children (r = - 0.46). CONCLUSIONS: This study indicates a high psychosocial burden on family caregivers of children with RDs during the early COVID-19 pandemic, characterized by high distress levels and wide-ranging everyday problems, unmet psychosocial information needs, and reduced caregiver-reported HRQoL in children with RDs. The findings highlight the ongoing need for target group-specific, low-threshold support services (e.g., websites) during and after the pandemic.

Concomitant Guillain-Barré Syndrome and COVID-19: A Meta-Analysis of Cases.

Background and Objectives: Recent findings demonstrate that the transmigration of severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) to the nervous system implicates severe neurotropic pathologies, including the onset of the rare disease called Guillain-Barré syndrome (GBS) which is characterized by immune-mediated polyneuropathy. This study aimed to identify the predisposing factors and the clinical features of coronavirus disease 2019 (COVID-19)-induced GBS. Materials and Methods: We have performed an analysis of 147 cases. A systematic review of the published research work was performed per the PRISMA statement to obtain individual participant data (IPD) for the meta-analysis. The search was conducted through PubMed, using the combined search terms "Guillain-Barré syndrome" and "COVID-19". All case reports and series in the English language with accessed full text were included in the search. Results: A systematic database search led to the retrieval of 112 peer-reviewed articles published between 1 April 2020, and 8 February 2022. The articles comprised 16 case series and 96 case reports containing IPD for 147 patients. Our findings showed that 77.6% of all cases were 40 years or older. Males comprised most of the cases (65.3%; n = 96). The intensive care unit (ICU) admission was 44.9%, and the need for mechanical ventilation (MV) was 38.1%. The patients presented with hyporeflexia or areflexia (84.4%; n = 124), lower limb strength and sensation impairment (93.2%; n = 138), upper limb strength and sensation impairment (85.7; n = 126), and somatic sensation impairment (72.8%; n = 107). The patients presented with increased cerebral spinal fluid (CSF) protein levels (92%; n = 92) and the presence of CSF albuminocytological dissociation (83.5%; n = 71). The most common variant of GBS observed was acute inflammatory demyelinating polyneuropathy (AIDP). We found that predisposing factors concomitant with COVID-19 and GBS were male gender and older age. Among the cases, patient mortality was 10.9%. Conclusions: A gap of knowledge exists regarding the complete spectrum of clinical characteristics of COVID-19-related GBS. Recent findings suggest that SARS-CoV-2 triggers GBS, as it follows a similar para-infectious pattern as the other viral agents contributing to the onset of GBS.

[Diagnostic delay in rare diseases: between fear and resilience]. / Demora diagnóstica en enfermedades raras: entre el miedo y la resiliencia.

OBJECTIVE: To describe the impact of diagnosis delay in rare diseases and analyze psychosocial needs related to this delay in patients. METHOD: The qualitative approach has been used by conducting online group interviews with patients and family members in the Valencian Region (Spain) and a content analysis has been carried out. Two categories were differentiated: with diagnostic delay of 1 year or more and without diagnostic delay. Five interviews were conducted with a total of 25 participants. RESULTS: The content analysis showed unequal aspects vs. common aspects, in persons with or without diagnostic delay. People with delay expressed the need to feel supported in order to live with continuous uncertainty. People without delay verbalized the importance of adequate communication between patients and professionals. The problems by the COVID-19 were common in both groups; the participants expressed that they did not feel unattended in their disease by the health services. CONCLUSIONS: High resilience and coping capacity has been identified in people with rare disease, regardless of whether they have suffered diagnostic delay or not. The professional psychosocial support during the diagnostic process of these rare diseases is essential.