Prevalence and characteristics of Alice in Wonderland Syndrome in adult migraineurs: Perspectives from a tertiary referral headache unit

Background: Migraine affects how the brain processes sensory information at multiple levels. The aberrant integration of visual and somatosensory stimuli is thought to underlie Alice in Wonderland Syndrome, a disorder often reported as being associated with migraine. However, there is still a lack of knowledge about the epidemiology of this syndrome in migraineurs and the association between Alice in Wonderland Syndrome episodes and migraine attacks. Therefore, we conducted a prospective cohort study to systematically evaluate the prevalence and the clinical features of Alice in Wonderland Syndrome in a large sample of patients with migraine. Methods: All the patients attending for the first time a tertiary-level headache clinic were consecutively screened for Alice in Wonderland Syndrome symptoms by means of an ad hoc questionnaire and detailed clinical interview, over a period of 1.5 years. Patients experiencing Alice in Wonderland Syndrome symptoms were contacted for a follow-up after 8–12 months. Results: Two hundred and ten patients were recruited: 40 patients (19%) reported lifetime occurrence of Alice in Wonderland Syndrome, 90% of whom (38/40) had migraine with aura. Thirty-one patients experienced episodes of Alice in Wonderland Syndrome within 1 h from the start of migraine headache. Patients reported either visual or visual and somatosensory symptoms (i.e. somatosensory symptoms never presented alone). We collected the follow-up details of 30 patients with Alice in Wonderland Syndrome, 18 of whom had been prescribed a preventive treatment for migraine. After 8–12 months, 5 of the treated patients reported a decrease, while 13 reported no episodes of Alice in Wonderland Syndrome. Conclusion: Alice in Wonderland Syndrome prevalence in migraineurs was found to be higher than expected. Alice in Wonderland Syndrome was mostly associated with migraine with aura and tended to occur close to the migraine attack, suggesting the existence of a common pathophysiological mechanism. Patients treated with migraine preventive treat- ments had a higher chance of decreasing or even resolving Alice in Wonderland Syndrome episodes

Influence of Surgical Technique, Performance Status, and Peritonitis Exposure on Surgical Site Infection in Acute Complicated Diverticulitis: A Matched Case-Control Study

Background: Acute generalized peritonitis secondary to complicated diverticulitis is a life-threatening condition; the standard treatment is surgery. Despite advances in peri-operative care, this condition is accompanied by a high peri-operative complication rate (22%-25%). No definitive evidence is available to recommend a preferred surgical technique in patients with Hinchey stage III/IV disease. Methods: A matched case-control study enrolling patients from four surgical units at Italian university hospital was planned to assess the most appropriate surgical treatment on the basis of patient performance status and peritonitis exposure, with the aim of minimizing the surgical site infection (SSI). A series of 1,175 patients undergoing surgery for Hinchey III/IV peritonitis in 2003-2013 were analyzed. Cases (n=145) were selected from among those patients who developed an SSI. The case:control ratio was 1:3. Cases and control groups were matched by age, gender, body mass index, and Hinchey grade. We considered three surgical techniques: T-1=Hartman's procedure; T-2=sigmoid resection, anastomosis, and ileostomy; and T-3=sigmoid resection and anastomosis. Six scoring systems were analyzed to assess performance status; subsequently, patients were divided into low, mild, and high risk (LR, MR, HR) according to the system producing the highest area under the curve. We classified peritonitis exposition as P-1=24h. Univariable and multivariable analyses were performed. Results: The Apgar scoring system defined the risk groups according to performance status. Lowest SSI risk was expected when applying T-3 in P1 (OR=0.22), P-2 (OR=0.5) for LR and in P-1 (OR=0.63) for MR; T-2 in P2 (OR=0.5) in LR and in P1 (OR=0.61) in MR; T-1 in P-3 (OR=0.56) in LR; in P-2 (OR=0.63) and P-3 (OR=0.54) in MR patients, and in each P subgroup (OR=0.93;0.97;1.01) in HR. Conclusions: Pre-operative assessment based on Apgar scoring system integrated with peritonitis exposure in complicated diverticulitis may offer a ready-to-use tool for reducing SSI-related complications and applying appropriate treatment, reducing the need for disabling ostomy

Elemental enteral nutrition preserves the mucosal barrier and improves the trophysm of the villi after small bowel transplantation in piglets

The main goals for a successful small bowel transplantation (SBTx) are the control of acute rejection and maintenance of the mucosal barrier, which plays a key role in preventing bacterial translocation and preserving absorptive capacity. According to recent evidence that sustaining enteral nutrition (EN) as rehabilitative therapy improves the integrity of the mucosal barrier after SBTx, we studied the trophic effect of a new elemental enteral solution whose proteinic supply is represented by oligomeric-aminoacidic chains. In a swine SBTx model we studied three groups, divided by the different postoperative feeding: group 1 (n = 5): standard swine chow, group 2 (n = 5): polymeric enteral solution, group 3 (n = 5): elemental enteral solution (Peptamen, Nestle Corp). All animals were immunosuppressed with a tacrolimus/FK778 combined oral therapy. The nutritional indices evaluated were: body weight, episodes of diarrhea, D-xylose absorption test, and histopatological and villi morphometric analysis. Three pigs died before the end of the study, two in group I (pneumonia and sepsis), one in group 2 (pneumonia). Mean days of diarrhea were 15, 10, and 3 in groups 1, 2, and 3, respectively (P <.05). The final/starting weight ratio was 1.08 for group 3 and 0.92 for group 2 (P < .05); the D-xylose curves showed a statistically significant difference for group 3 versus the groups 2 and 1 (P < .05), as well as for the villi height (P < .01) and width (P < .05). In conclusion, elemental enteral solution, with its basic protein supply, does not require a very complex enzymatic system to be metabolized. Thus, it may contribute to a faster recovery of the mucosal barrier and to limit the hypercatabolic state

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.

Given the growing number of prediction algorithms developed to predict COVID-19 mortality, we evaluated the transportability of a mortality prediction algorithm using a multi-national network of healthcare systems. We predicted COVID-19 mortality using baseline commonly measured laboratory values and standard demographic and clinical covariates across healthcare systems, countries, and continents. Specifically, we trained a Cox regression model with nine measured laboratory test values, standard demographics at admission, and comorbidity burden pre-admission. These models were compared at site, country, and continent level. Of the 39,969 hospitalized patients with COVID-19 (68.6% male), 5717 (14.3%) died. In the Cox model, age, albumin, AST, creatine, CRP, and white blood cell count are most predictive of mortality. The baseline covariates are more predictive of mortality during the early days of COVID-19 hospitalization. Models trained at healthcare systems with larger cohort size largely retain good transportability performance when porting to different sites. The combination of routine laboratory test values at admission along with basic demographic features can predict mortality in patients hospitalized with COVID-19. Importantly, this potentially deployable model differs from prior work by demonstrating not only consistent performance but also reliable transportability across healthcare systems in the US and Europe, highlighting the generalizability of this model and the overall approach

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

International audienceAbstract Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participating hospitals across 6 countries and 3 continents (January–September 2020) for a cross-sectional analysis. We assessed the frequency of International Classification of Disease code of neurological conditions by countries, healthcare systems, time before and after admission for COVID-19 and COVID-19 severity. Among 35,177 hospitalized patients with SARS-CoV-2 infection, there was an increase in the proportion with disorders of consciousness (5.8%, 95% confidence interval [CI] 3.7–7.8%, p FDR < 0.001) and unspecified disorders of the brain (8.1%, 5.7–10.5%, p FDR < 0.001) when compared to the pre-admission proportion. During hospitalization, the relative risk of disorders of consciousness (22%, 19–25%), cerebrovascular diseases (24%, 13–35%), nontraumatic intracranial hemorrhage (34%, 20–50%), encephalitis and/or myelitis (37%, 17–60%) and myopathy (72%, 67–77%) were higher for patients with severe COVID-19 when compared to those who never experienced severe COVID-19. Leveraging a multinational network to capture standardized EHR data, we highlighted the increased prevalence of central and peripheral neurological phenotypes in patients hospitalized with COVID-19, particularly among those with severe disease

Evolving phenotypes of non-hospitalized patients that indicate long COVID

International audienceAbstract Background For some SARS-CoV-2 survivors, recovery from the acute phase of the infection has been grueling with lingering effects. Many of the symptoms characterized as the post-acute sequelae of COVID-19 (PASC) could have multiple causes or are similarly seen in non-COVID patients. Accurate identification of PASC phenotypes will be important to guide future research and help the healthcare system focus its efforts and resources on adequately controlled age- and gender-specific sequelae of a COVID-19 infection. Methods In this retrospective electronic health record (EHR) cohort study, we applied a computational framework for knowledge discovery from clinical data, MLHO, to identify phenotypes that positively associate with a past positive reverse transcription-polymerase chain reaction (RT-PCR) test for COVID-19. We evaluated the post-test phenotypes in two temporal windows at 3–6 and 6–9 months after the test and by age and gender. Data from longitudinal diagnosis records stored in EHRs from Mass General Brigham in the Boston Metropolitan Area was used for the analyses. Statistical analyses were performed on data from March 2020 to June 2021. Study participants included over 96 thousand patients who had tested positive or negative for COVID-19 and were not hospitalized. Results We identified 33 phenotypes among different age/gender cohorts or time windows that were positively associated with past SARS-CoV-2 infection. All identified phenotypes were newly recorded in patients’ medical records 2 months or longer after a COVID-19 RT-PCR test in non-hospitalized patients regardless of the test result. Among these phenotypes, a new diagnosis record for anosmia and dysgeusia (OR 2.60, 95% CI [1.94–3.46]), alopecia (OR 3.09, 95% CI [2.53–3.76]), chest pain (OR 1.27, 95% CI [1.09–1.48]), chronic fatigue syndrome (OR 2.60, 95% CI [1.22–2.10]), shortness of breath (OR 1.41, 95% CI [1.22–1.64]), pneumonia (OR 1.66, 95% CI [1.28–2.16]), and type 2 diabetes mellitus (OR 1.41, 95% CI [1.22–1.64]) is one of the most significant indicators of a past COVID-19 infection. Additionally, more new phenotypes were found with increased confidence among the cohorts who were younger than 65. Conclusions The findings of this study confirm many of the post-COVID-19 symptoms and suggest that a variety of new diagnoses, including new diabetes mellitus and neurological disorder diagnoses, are more common among those with a history of COVID-19 than those without the infection. Additionally, more than 63% of PASC phenotypes were observed in patients under 65 years of age, pointing out the importance of vaccination to minimize the risk of debilitating post-acute sequelae of COVID-19 among younger adults

International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries

International audienceAdditional sources of pediatric epidemiological and clinical data are needed to efficiently study COVID-19 in children and youth and inform infection prevention and clinical treatment of pediatric patients

Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort studyResearch in Context

Summary: Background: Characterizing Post-Acute Sequelae of COVID (SARS-CoV-2 Infection), or PASC has been challenging due to the multitude of sub-phenotypes, temporal attributes, and definitions. Scalable characterization of PASC sub-phenotypes can enhance screening capacities, disease management, and treatment planning. Methods: We conducted a retrospective multi-centre observational cohort study, leveraging longitudinal electronic health record (EHR) data of 30,422 patients from three healthcare systems in the Consortium for the Clinical Characterization of COVID-19 by EHR (4CE). From the total cohort, we applied a deductive approach on 12,424 individuals with follow-up data and developed a distributed representation learning process for providing augmented definitions for PASC sub-phenotypes. Findings: Our framework characterized seven PASC sub-phenotypes. We estimated that on average 15.7% of the hospitalized COVID-19 patients were likely to suffer from at least one PASC symptom and almost 5.98%, on average, had multiple symptoms. Joint pain and dyspnea had the highest prevalence, with an average prevalence of 5.45% and 4.53%, respectively. Interpretation: We provided a scalable framework to every participating healthcare system for estimating PASC sub-phenotypes prevalence and temporal attributes, thus developing a unified model that characterizes augmented sub-phenotypes across the different systems. Funding: Authors are supported by National Institute of Allergy and Infectious Diseases, National Institute on Aging, National Center for Advancing Translational Sciences, National Medical Research Council, National Institute of Neurological Disorders and Stroke, European Union, National Institutes of Health, National Center for Advancing Translational Sciences