Tumour growth rate predicts overall survival in patients with recurrent WHO grade 4 glioma.

PURPOSE: Accurate prognostication may aid in the selection of patients who will benefit from surgery at recurrent WHO grade 4 glioma. This study aimed to evaluate the role of serial tumour volumetric measurements for prognostication at first tumour recurrence. METHODS: We retrospectively analyzed patients with histologically-diagnosed WHO grade 4 glioma at initial and at first tumour recurrence at a tertiary hospital between May 2000 and September 2018. We performed auto-segmentation using ITK-SNAP software, followed by manual adjustment to measure serial contrast-enhanced T1W (CE-T1W) and T2W lesional volume changes on all MRI images performed between initial resection and repeat surgery. RESULTS: Thirty patients met inclusion criteria; the median overall survival using Kaplan-Meier analysis from second surgery was 10.5 months. Seventeen (56.7%) patients received treatment post second surgery. Univariate cox regression analysis showed that greater rate of increase in lesional volume on CE-T1W (HR = 2.57; 95% CI [1.18, 5.57]; p = 0.02) in the last 2 MRI scans leading up to the second surgery was associated with a higher mortality likelihood. Patients with higher Karnofsky Performance Score (KPS) (HR = 0.97; 95% CI [0.95, 0.99]; p = 0.01) and who received further treatment following second surgery (HR = 0.43; 95% CI [0.19, 0.98]; p = 0.04) were shown to have a better survival. CONCLUSION: Higher rate of CE-T1W lesional growth on the last 2 MRI images prior to surgery at recurrence was associated with increase mortality risk. A larger prospective study is required to determine and validate the threshold to distinguish rapidly progressive tumour with poor prognosis.

Diffuse alveolar haemorrhage in systemic lupus erythematosus: A multicentre retrospective study in Singapore.

OBJECTIVE: Diffuse alveolar haemorrhage (DAH) is a rare but life-threatening complication of systemic lupus erythematosus (SLE). We describe the clinical characteristics, treatment and survival outcomes of SLE patients with DAH in Singapore. METHODS: We conducted a retrospective review of the medical records of SLE patients with DAH hospitalised in 3 tertiary hospitals between January 2007 and October 2017. Patient demographics, clinical characteristics, laboratory, radiologic and bronchoscopic findings, as well as the treatments, were compared between survivors and non-survivors. Survival rates were analysed between the various treatment groups. RESULTS: A total of 35 patients with DAH were included in this study. Majority of them were female (71.4%) and of Chinese ethnicity (62.9%). Median age was 40.0 years (IQR: 25-54), with a median disease duration of 8.9 months (IQR: 0.13-102.4). Haemoptysis was the most common clinical presentation, and majority had concomitant cytopaenia and lupus nephritis. All patients received high dose glucocorticoids; 27 (77.1%), 16 (45.7%) and 23 (65.7%) received cyclophosphamide (CYP), rituximab (RTX), and plasmapheresis (PLEX), respectively. Twenty-two patients required mechanical ventilation with a median duration of 12 days. Overall mortality rate was 40%, with a median survival time of 162 days. Twenty-six patients (74.3%) achieved remission, with an overall median time to remission of 12 days (IQR: 6-46) after diagnosis of DAH. Patients on triple therapy (CYP, RTX and PLEX) had a median survival of 162 days as compared to 14 days in patients on PLEX alone (p = .0026). CONCLUSIONS: The overall mortality of DAH in SLE patients remained high. There were no significant differences in patient demographics or clinical characteristics between the survivors and non-survivors. However, better survival appears to be associated with treatment with cyclophosphamide.

Identifying clinical features and blood biomarkers associated with mild cognitive impairment in Parkinson disease using machine learning.

BACKGROUND AND PURPOSE: A broad list of variables associated with mild cognitive impairment (MCI) in Parkinson disease (PD) have been investigated separately. However, there is as yet no study including all of them to assess variable importance. Shapley variable importance cloud (ShapleyVIC) can robustly assess variable importance while accounting for correlation between variables. Objectives of this study were (i) to prioritize the important variables associated with PD-MCI and (ii) to explore new blood biomarkers related to PD-MCI. METHODS: ShapleyVIC-assisted variable selection was used to identify a subset of variables from 41 variables potentially associated with PD-MCI in a cross-sectional study. Backward selection was used to further identify the variables associated with PD-MCI. Relative risk was used to quantify the association of final associated variables and PD-MCI in the final multivariable log-binomial regression model. RESULTS: Among 41 variables analysed, 22 variables were identified as significantly important variables associated with PD-MCI and eight variables were subsequently selected in the final model, indicating fewer years of education, shorter history of hypertension, higher Movement Disorder Society-Unified Parkinson's Disease Rating Scale motor score, higher levels of triglyceride (TG) and apolipoprotein A1 (ApoA1), and SNCA rs6826785 noncarrier status were associated with increased risk of PD-MCI (p < 0.05). CONCLUSIONS: Our study highlighted the strong association between TG, ApoA1, SNCA rs6826785, and PD-MCI by machine learning approach. Screening and management of high TG and ApoA1 levels might help prevent cognitive impairment in early PD patients. SNCA rs6826785 could be a novel therapeutic target for PD-MCI. ShapleyVIC-assisted variable selection is a novel and robust alternative to traditional approaches for future clinical study to prioritize the variables of interest.

The burden of costs on health services from patients with venous leg ulcers in Singapore.

Healthcare costs arising from venous leg ulcers (VLU) are expected to increase due to an aging population and increased prevalence of comorbidities. We aim to estimate the healthcare resources incurred by VLU patients, and to quantify the extent to which predictors explain variation in cost-related outcomes. Retrospective patient-level cohort data for VLU patients were analysed using generalised linear regression models. Data were extracted from a tertiary hospital registry in Singapore, between 2013 and 2017. The outcome variables were length of stay per admission; inpatient and outpatient bill per admission; whether a patient underwent a surgical treatment of the venous system; and, whether they visited the emergency department. Cost outcomes were reported in Singapore dollars (S$). A total of 162 VLU patients were included with a mean age of 67.5 (±14.4). For the inpatient setting the mean length of stay was 8.1 days and the mean inpatient bill was S$7886. For outpatients, the mean number of dressings was 29.4, and mean outpatient bill was S$6962. Heart disease patients incurred longer hospital stays and larger inpatient bills per admission and females had greater odds of undergoing a surgical procedure on the venous system. Certain VLU patient groups were found to be associated with larger cost outcomes.

AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes.

BACKGROUND: Risk prediction models are useful tools in clinical decision-making which help with risk stratification and resource allocations and may lead to a better health care for patients. AutoScore is a machine learning-based automatic clinical score generator for binary outcomes. This study aims to expand the AutoScore framework to provide a tool for interpretable risk prediction for ordinal outcomes. METHODS: The AutoScore-Ordinal framework is generated using the same 6 modules of the original AutoScore algorithm including variable ranking, variable transformation, score derivation (from proportional odds models), model selection, score fine-tuning, and model evaluation. To illustrate the AutoScore-Ordinal performance, the method was conducted on electronic health records data from the emergency department at Singapore General Hospital over 2008 to 2017. The model was trained on 70% of the data, validated on 10% and tested on the remaining 20%. RESULTS: This study included 445,989 inpatient cases, where the distribution of the ordinal outcome was 80.7% alive without 30-day readmission, 12.5% alive with 30-day readmission, and 6.8% died inpatient or by day 30 post discharge. Two point-based risk prediction models were developed using two sets of 8 predictor variables identified by the flexible variable selection procedure. The two models indicated reasonably good performance measured by mean area under the receiver operating characteristic curve (0.758 and 0.793) and generalized c-index (0.737 and 0.760), which were comparable to alternative models. CONCLUSION: AutoScore-Ordinal provides an automated and easy-to-use framework for development and validation of risk prediction models for ordinal outcomes, which can systematically identify potential predictors from high-dimensional data.

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.

BACKGROUND: Medical decision-making impacts both individual and public health. Clinical scores are commonly used among various decision-making models to determine the degree of disease deterioration at the bedside. AutoScore was proposed as a useful clinical score generator based on machine learning and a generalized linear model. However, its current framework still leaves room for improvement when addressing unbalanced data of rare events. METHODS: Using machine intelligence approaches, we developed AutoScore-Imbalance, which comprises three components: training dataset optimization, sample weight optimization, and adjusted AutoScore. Baseline techniques for performance comparison included the original AutoScore, full logistic regression, stepwise logistic regression, least absolute shrinkage and selection operator (LASSO), full random forest, and random forest with a reduced number of variables. These models were evaluated based on their area under the curve (AUC) in the receiver operating characteristic analysis and balanced accuracy (i.e., mean value of sensitivity and specificity). By utilizing a publicly accessible dataset from Beth Israel Deaconess Medical Center, we assessed the proposed model and baseline approaches to predict inpatient mortality. RESULTS: AutoScore-Imbalance outperformed baselines in terms of AUC and balanced accuracy. The nine-variable AutoScore-Imbalance sub-model achieved the highest AUC of 0.786 (0.732-0.839), while the eleven-variable original AutoScore obtained an AUC of 0.723 (0.663-0.783), and the logistic regression with 21 variables obtained an AUC of 0.743 (0.685-0.801). The AutoScore-Imbalance sub-model (using a down-sampling algorithm) yielded an AUC of 0.771 (0.718-0.823) with only five variables, demonstrating a good balance between performance and variable sparsity. Furthermore, AutoScore-Imbalance obtained the highest balanced accuracy of 0.757 (0.702-0.805), compared to 0.698 (0.643-0.753) by the original AutoScore and the maximum of 0.720 (0.664-0.769) by other baseline models. CONCLUSIONS: We have developed an interpretable tool to handle clinical data imbalance, presented its structure, and demonstrated its superiority over baselines. The AutoScore-Imbalance tool can be applied to highly unbalanced datasets to gain further insight into rare medical events and facilitate real-world clinical decision-making.

CT-based morphologic and radiomics features for the classification of MYCN gene amplification status in pediatric neuroblastoma.

PURPOSE: MYCN onco-gene amplification in neuroblastoma confers patients to the high-risk disease category for which prognosis is poor and more aggressive multimodal treatment is indicated. This retrospective study leverages machine learning techniques to develop a computed tomography (CT)-based model incorporating semantic and non-semantic features for non-invasive prediction of MYCN amplification status in pediatric neuroblastoma. METHODS: From 2009 to 2020, 54 pediatric patients treated for neuroblastoma at a specialized children's hospital with pre-treatment contrast-enhanced CT and MYCN status were identified (training cohort, n = 44; testing cohort, n = 10). Six morphologic features and 107 quantitative gray-level texture radiomics features extracted from manually drawn volume-of-interest were analyzed. Following feature selection and class balancing, the final predictive model was developed with eXtreme Gradient Boosting (XGBoost) algorithm. Accumulated local effects (ALE) plots were used to explore main effects of the predictive features. Tumor texture maps were also generated for visualization of radiomics features. RESULTS: One morphologic and 2 radiomics features were selected for model building. The XGBoost model from the training cohort yielded an area under the receiver operating characteristics curve (AUC-ROC) of 0.930 (95% CI, 0.85-1.00), optimized F1-score of 0.878, and Matthews correlation coefficient (MCC) of 0.773. Evaluation on the testing cohort returned AUC-ROC of 0.880 (95% CI, 0.64-1.00), optimized F1-score of 0.933, and MCC of 0.764. ALE plots and texture maps showed higher "GreyLevelNonUniformity" values, lower "Strength" values, and higher number of image-defined risk factors contribute to higher predicted probability of MYCN amplification. CONCLUSION: The machine learning model reliably classified MYCN amplification in pediatric neuroblastoma and shows potential as a surrogate imaging biomarker.

A cross-sectional study of knowledge and practices in the management of patients with Parkinson's disease amongst public practice-based general practitioners and geriatricians.

BACKGROUND: As most patients are likely to first interface with their community general practitioner (GP) or geriatrician for chronic healthcare conditions, these non-neurologists practitioners are well-placed to diagnose, initiate treatment in symptomatic Parkinson's disease (PD) patients, and provide regular and timely management of their PD. However, current studies suggest that the role of the GP and geriatrician in providing holistic care for PD patients may be limited by factors such as patient perceptions, and a lack of knowledge base in the quality measures of care. This paper aims to better understand the different management styles between GPs and geriatricians practicing in public institutions in Singapore, qualify the difficulties they face in providing patient-centric care for PD patients, and identify any gaps in quality measures of care. METHODS: A questionnaire was completed anonymously by GPs (n = 43) and geriatricians (n = 33) based at public institutions, on a voluntary basis before a compulsory didactic teaching on PD. Questions were modelled after quality measures set out by the American Academy of Neurology, specifically eliciting information on falls, non-motor symptoms, exercise regime and medication-related symptoms. "PD management practices and styles" questions were answered by the respondents on a 4-point Likert scale. RESULTS: Geriatricians spent more time in consult with PD patients compared with GPs (median [Q1-Q3] = 20 [15-30] vs 10 [10-15] minutes, p <  0.001). Geriatricians were more comfortable initiating PD medications than GPs (OR = 11.8 [95% CI: 3.54-39.3], p <  0.001), independent of gender, years of practice and duration of consult. Comfort in initiating dopamine replacement therapy (OR 1.06 [1.00-1.36], p = 0.07; aOR = 1.14 [1.02-1.26], p = 0.02) also increased with physician's years of practice. Unfamiliarity with the types and/or doses of the medications was the most cited barrier faced by GPs (76.7%). Geriatricians were more likely than GPs to ask about falls (100% vs 86.0%, p = 0.025), non-motor symptoms (75.8% vs 53.5%, p = 0.049) and the patient's regular physical activities (72.7% vs 41.9%, p = 0.01). CONCLUSIONS: This study identified key patterns in the management practices and styles of non-neurologists physicians, and identified gaps in current practice. Our data suggests that interventions directed at education on PD medication prescriptions and provision of patient PD education, creation of best clinical practice guidelines, and accreditation by national bodies may instil greater confidence in practitioners to initiate and continue patient-centric PD care. A longer consultation duration with PD patients should be considered to allow physicians to get a greater scope of the patient's needs and better manage them.

Closure intracranial pressure is an objective intraoperative determinant of the adequacy of surgical decompression in traumatic acute subdural haematoma: a multicentre observational study.

PURPOSE: Acute subdural haematoma (ASDH) is associated with severe traumatic brain injury and poor outcomes. Although guidelines exist for the decompression of ASDH, the question of adequate decompression remains unanswered. The authors examined the relationship of intracranial pressure (ICP) on closure with outcomes to determine its utility in the determination of adequate ASDH decompression. METHODS: A multicentre retrospective review of 105 consecutive patients with ASDH who underwent decompressive surgery was performed. Receiver operating characteristic (ROC) analysis with internal validation was performed to determine an ICP threshold for the division of patients into the inadequate and good ICP groups. Multivariable analyses were performed for both inpatient and long-term outcomes. RESULTS: An ICP threshold of 10 mmHg was identified with a 91.5% specificity, 45.7% sensitivity, and a positive and negative predictive value of 80.8% and 68.4%. There were 26 patients (24.8%) and 79 patients (75.2%) in the inadequate and good ICP groups, respectively. After adjustment, the inadequate ICP group was associated with increased postoperative usage of mannitol (OR 14.2, p < 0.001) and barbiturates (OR 150, p = 0.001). Inadequate ICP was also associated with increased inpatient mortality (OR 24.9, p < 0.001), and a lower rate of favourable MRS at 1 year (OR 0.08, p = 0.008). The complication rate was similar amongst the groups. CONCLUSIONS: Closure ICP is a novel, objective, and actionable intraoperative biomarker that correlates with inpatient and long-term outcomes in ASDH. Various surgical manoeuvres can be undertaken to achieve this target safely. Large-scale prospective studies should be performed to validate this ICP threshold.

Adjunctive probiotics after periodontal debridement versus placebo: a systematic review and meta-analysis.

OBJECTIVE: To comprehensively investigate the efficacy of adjunctive probiotics compared to placebo, using conventional and novel treatment outcomes. MATERIALS AND METHODS: Three databases (MEDLINE, EMBASE, and CENTRAL) were searched. Outcomes included percent change in the total number of deep sites before and after therapy, change in mean probing pocket depth (mm), percentage patients requiring additional therapy, risk for disease progression, and microbiological and immunological results. Meta-analysis was conducted to evaluate treatment effects wherever appropriate. RESULTS: Ten studies were selected from 818 records. Meta-analysis showed that adjunctive probiotics had no additional benefit for percentage change of the total number of deeper sites (≥5 mm, ≥6 mm, ≥7 mm) before and after therapy. No significant difference was observed for mean probing pocket depth reduction at 3 and 6 months. Statistically significant beneficial odds ratios for need for additional therapy (OR = 0.19, 95% CI [0.07-0.56]) and risk of disease progression (OR = 0.32, 95% CI [0.14-0.73]) were observed with probiotic administration. Immunological rather than microbiological outcomes correlated more consistently with clinical findings. No adverse events were reported. CONCLUSIONS: Adjunctive probiotics are safe in systemically healthy individuals and could offer additional patient-level benefits compared to placebo, hence its use can sometimes be justified.

IgE-mediated cow's milk protein allergy in Singaporean children.

BACKGROUND: Cow's milk protein allergy (CMA) is the second most common food allergy in Singapore. However, there is limited data on local paediatric CMA. OBJECTIVE: We aimed to describe the demographics, clinical characteristics, natural history and diagnostic performance of skin prick test (SPT) and cow's milk-specific immunoglobulin E (CM-IgE) in Singaporean children diagnosed with IgE-mediated CMA. METHODS: A retrospective review of medical records was conducted for children with an SPT performed to cow's milk between 2011 and 2016. RESULTS: There were 355 patients included, 313 cow's milk allergic and 42 cow's milk tolerant. The median age of reaction was 6 months (IQR 4-8). The most common allergic presentation was cutaneous reactions, followed by gastrointestinal reactions. Six patients (1.9%) reported anaphylaxis at initial presentation and 16 children (5.1%) experienced anaphylaxis to cow's milk at least once in their lifetime. Most of the CMA patients (81.8%) acquired natural tolerance by 6 years old. SPT to cow's milk of ≥ 7 mm and CM-IgE of ≥ 13 kU/L showed good discriminative abilities in predicting a failed oral food challenge (OFC) outcome. CONCLUSIONS: CMA is a food allergy which commonly presents during infancy, and parents need to be aware of the likelihood of severe allergic reactions, including anaphylaxis. Prognosis for CMA is generally favourable. Future prospective cohort studies are required to better understand the natural history and better define the diagnostic cut-off values for allergy testing in our population.

Effectiveness of Palivizumab Against Respiratory Syncytial Virus Hospitalization Among Preterm Infants in a Setting With Year-Round Circulation.

BACKGROUND: The year-round respiratory syncytial virus (RSV) circulation in tropical regions leads to different transmission patterns and burden of disease among infants born very preterm. METHODS: We conducted a retrospective cohort study to estimate the effectiveness of palivizumab in preventing RSV hospitalization at 6 and 12 months after discharge, among infants born at <32 weeks' gestation in our tropical setting. RESULTS: A total of 109 infants (26.3%) received palivizumab at discharge, of 415 who were eligible. All patients received ≥4 doses, with 105 infants (96.3%) completing 5 doses. Within 1 year after discharge, there were 35 RSV-associated admissions (3 [2.8%] in the palivizumab vs 32 [10.5%] in the nonpalivizumab group; P = .02). After adjustment for confounders, the effectiveness of palivizumab against RSV hospitalization was estimated to be 90% (95% confidence interval, 10%-99%) up to 6 months after discharge. The median time to RSV hospitalization was shorter in the nonpalivizumab than in the palivizumab group (median [range], 155 [15-358] vs 287 [145-359] days, respectively; P = .11). Five infants (14.3%), all from the nonpalivizumab group, required admission to the intensive care unit. CONCLUSIONS: In our setting with year-round RSV circulation, palivizumab prophylaxis was effective in reducing RSV hospitalization among high-risk preterm infants of <32 weeks' gestation within the initial 6 months after discharge.

Polygenic Risk Scores in a Prospective Parkinson's Disease Cohort.

BACKGROUND: Ethnic-specific genetic risk assessment framework for Parkinson's disease (PD) is lacking for the Asian population. OBJECTIVE: We investigated the association of a polygenic risk score (PRS) with PD incidence in a population-based Asian prospective cohort. METHODS: Genetic, dietary, and lifestyle information were prospectively collected from 25,646 participants within the Singapore Chinese Health Study cohort. PRS was constructed with Asian-specific and top genome-wide association study variants. The association between PRS and PD incidence was evaluated with multivariable Cox proportional hazard models, Kaplan-Meier survival analysis, and concordance statistics. RESULTS: A total of 333 incident cases were identified after a follow-up period of more than 20 years. Participants with PRS in the top tertile (hazard ratio [HR], 1.81; 95% confidence interval [CI], 1.37-2.39) and middle tertile (HR, 1.35; 95% CI, 1.00-1.83) are at higher risk of developing PD after adjusting for dietary and lifestyle risk factors, with a shorter time to PD event in a Kaplan-Meier survival analysis (P < 0.001). CONCLUSION: We identified a PRS that was significantly associated with PD incidence in a prospective Chinese cohort after adjusting for dietary and lifestyle factors. © 2021 International Parkinson and Movement Disorder Society.

Encephalitis as a neurological complication of COVID-19: A systematic review and meta-analysis of incidence, outcomes, and predictors.

BACKGROUND AND PURPOSE: Although COVID-19 predominantly affects the respiratory system, recent studies have reported the occurrence of neurological disorders such as stroke in relation to COVID-19 infection. Encephalitis is an inflammatory condition of the brain that has been described as a severe neurological complication of COVID-19. Despite a growing number of reported cases, encephalitis related to COVID-19 infection has not been adequately characterised. To address this gap, this systematic review and meta-analysis aims to describe the incidence, clinical course, and outcomes of patients who suffer from encephalitis as a complication of COVID-19. METHODS: All studies published between 1 November 2019 and 24 October 2020 that reported on patients who developed encephalitis as a complication of COVID-19 were included. Only cases with radiological and/or biochemical evidence of encephalitis were included. RESULTS: In this study, 610 studies were screened and 23 studies reporting findings from 129,008 patients, including 138 with encephalitis, were included. The average time from diagnosis of COVID-19 to onset of encephalitis was 14.5 days (range = 10.8-18.2 days). The average incidence of encephalitis as a complication of COVID-19 was 0.215% (95% confidence interval [CI] = 0.056%-0.441%). The average mortality rate of encephalitis in COVID-19 patients was 13.4% (95% CI = 3.8%-25.9%). These patients also had deranged clinical parameters, including raised serum inflammatory markers and cerebrospinal fluid pleocytosis. CONCLUSIONS: Although encephalitis is an uncommon complication of COVID-19, when present, it results in significant morbidity and mortality. Severely ill COVID-19 patients are at higher risk of suffering from encephalitis as a complication of the infection.

Hemisensory syndrome: Hyperacute symptom onset and age differentiates ischemic stroke from other aetiologies.

BACKGROUND: An important cause of hemisensory syndrome is ischemic stroke. However, the diagnostic yield of neuroradiological imaging on hemisensory syndrome is low. Therefore, we aim to describe patients hospitalized with isolated hemisensory syndrome, and to identify clinical features associated with an aetiology of ischemic stroke. METHODS: We performed a single centre retrospective observation study, identifying patients who were hospitalised with hemisensory syndrome from October 2015 to March 2016, and whom underwent a magnetic resonance imaging (MRI) brain during the admission. Ischemic stroke was defined as the presence of restricted diffusion-weighted image on the MRI brain. Clinical information was analysed and compared between patients with and without stroke seen on MRI brain. RESULTS: 79 patients, 36 (45.6%) males and 43 (54.4%) females, aged between 30 to 87 years (mean 54), were included in the final analysis. 18 (22.8%) patients were identified to have an acute ischemic stroke. Clinical features associated with ischemic stroke in hospitalised patients with hemisensory syndrome include symptom onset of ≤24 h at presentation (odds ratio 31.4, 95% CI 3.89-254.4), advanced age (odds ratio 1.14, CI 1.05-1.25) and smoking (odds ratio 7.35, 95% CI 1.20-45). CONCLUSION: Older patients, with a history of smoking, and who present with an acute onset of symptoms, are more likely to have ischemic stroke as the cause of their hemisensory syndrome.

Implementation of family-based treatment for Asian adolescents with anorexia nervosa: A consecutive cohort examination of outcomes.

OBJECTIVE: This study describes the implementation of family-based treatment (FBT) in an eating disorder program in Asia as well as clinical outcomes of Asian adolescents with anorexia nervosa (AN) treated with FBT. METHOD: This retrospective consecutive cohort study of 147 Asian adolescents with AN was compared between those in FBT (n = 65) versus treatment as usual (TAU) (n = 82). Variables associated with weight restoration were analyzed between groups. RESULTS: Participants' mean age was 14.2 (SD = 1.5) years and 93% were female. Mean presenting %mBMI was 74.0 (SD = 7.8) and average illness duration was 7.7 (SD = 6.1) months. The two groups' baseline characteristics were not significantly different. Weight restoration rates in the FBT group were significantly higher than the TAU group at 6-, 12-, and 24-month time points. A linear mixed model showed the mean %mBMI was significantly higher at 0, 6, 12, and 24 months in the FBT group. The median time to weight restoration for patients on FBT was shorter (FBT: 7.0 months, TAU: 19.0 months; 95% CI [14.5, 23.5] χ2 = 15.84, p < .001). Within the FBT group, those that completed ≥9 FBT sessions had significantly higher rates of weight restoration at 12 months. Across all participants, those with a lower starting %mBMI were less likely to achieve weight restoration by 12 months. CONCLUSION: FBT can be effectively implemented in a multidisciplinary eating disorder program managing Asian adolescents with AN with improved rates of weight restoration. Further research is needed to understand the predictors and moderators of remission using FBT in Asian adolescents with AN.

Decompressive craniectomy for internal carotid artery and middle carotid artery infarctions: a long-term comparative outcome study.

OBJECTIVE: Malignant internal carotid artery (ICA) infarction is an entirely different disease entity when compared with middle cerebral artery (MCA) infarction. Because of an increased area of infarction, it is assumed to have a poorer prognosis; however, this has never been adequately investigated. Decompressive craniectomy (DC) for malignant MCA infarction has been shown to improve mortality rates in several randomized controlled trials. Conversely, aggressive surgical decompression for ICA infarction has not been recommended. The authors sought to compare the functional outcomes and survival between patients with ICA infarctions and those with MCA infarctions after DC in the largest series to date to investigate this assumption. METHODS: A multicenter retrospective review of 154 consecutive DCs for large territory cerebral infarctions performed from 2005 to 2020 were analyzed. Patients were divided into ICA and MCA groups depending on the territory of infarction. Variables, including age, sex, medical comorbidities, laterality of the infarction, preoperative neurological status, primary stroke treatment, and the time from stroke onset to DC, were recorded. Univariable and multivariable analyses were performed for the clinical exposures for functional outcomes (modified Rankin Scale [mRS] score) on discharge and at the 1- and 6-month follow-ups, and for mortality, both inpatient and at the 1-year follow-up. A favorable mRS score was defined as 0-2. RESULTS: There were 67 patients (43.5%) and 87 patients (56.5%) in the ICA and MCA groups, respectively. Univariable analysis showed that the ICA group had a comparably favorable mRS (OR 0.15 [95% CI 0.18-1.21], p = 0.077). Inpatient mortality (OR 1.79 [95% CI 0.79-4.03], p = 0.16) and 1-year mortality (OR 2.07 [95% CI 0.98-4.37], p = 0.054) were comparable between the groups. After adjustment, a favorable mRS score at 6 months (OR 0.17 [95% CI 0.018-1.59], p = 0.12), inpatient mortality (OR 1.02 [95% CI 0.29-3.57], p = 0.97), and 1-year mortality (OR 0.94 [95% CI 0.41-2.69], p = 0.88) were similar in both groups. The overall survival, plotted using the Cox proportional hazard regression, did not show a significant difference between the ICA and MCA groups (HR 0.581). CONCLUSIONS: Unlike previous smaller studies, this study found that patients with malignant ICA infarction had a functional outcome and survival that was similar to those with MCA infarction after DC. Therefore, DC can be offered for malignant ICA infarction for life-saving purposes with limited functional recovery.

Stroke as a Neurological Complication of COVID-19: A Systematic Review and Meta-Analysis of Incidence, Outcomes and Predictors.

INTRODUCTION: COVID-19 is a multi-system infection which predominantly affects the respiratory system, but also causes systemic inflammation, endothelialitis and thrombosis. The consequences of this include renal dysfunction, hepatitis and stroke. In this systematic review, we aimed to evaluate the epidemiology, clinical course, and outcomes of patients who suffer from stroke as a complication of COVID-19. METHODS: We conducted a systematic review of all studies published between November 1, 2019 and July 8, 2020 which reported on patients who suffered from stroke as a complication of COVID-19. RESULTS: 326 studies were screened, and 30 studies reporting findings from 55,176 patients including 899 with stroke were included. The average age of patients who suffered from stroke as a complication of COVID-19 was 65.5 (Range: 40.4-76.4 years). The average incidence of stroke as a complication of COVID-19 was 1.74% (95% CI: 1.09% to 2.51%). The average mortality of stroke in COVID-19 patients was 31.76% (95% CI: 17.77% to 47.31%). These patients also had deranged clinical parameters including deranged coagulation profiles, liver function tests, and full blood counts. CONCLUSION: Although stroke is an uncommon complication of COVID-19, when present, it often results in significant morbidity and mortality. In COVID-19 patients, stroke was associated with older age, comorbidities, and severe illness.

External validation of stroke mimic prediction scales in the emergency department.

BACKGROUND: Acute ischemic stroke is a time-sensitive emergency where accurate diagnosis is required promptly. Due to time pressures, stroke mimics who present with similar signs and symptoms as acute ischemic stroke, pose a diagnostic challenge to the emergency physician. With limited access to investigative tools, clinical prediction, tools based only on clinical features, may be useful to identify stroke mimics. We aim to externally validate the performance of 4 stroke mimic prediction scales, and derive a novel decision tree, to improve identification of stroke mimics. METHODS: We performed a retrospective cross-sectional study at a primary stroke centre, served by a telestroke hub. We included consecutive patients who were administered intravenous thrombolysis for suspected acute ischemic stroke from January 2015 to October 2017. Four stroke mimic prediction tools (FABS, simplified FABS, Telestroke Mimic Score and Khan Score) were rated simultaneously, using only clinical information prior to administration of thrombolysis. The final diagnosis was ascertained by an independent stroke neurologist. Area under receiver operating curve (AUROC) analysis was performed. A classification tree analysis was also conducted using variables which were found to be significant in the univariate analysis. RESULTS: Telestroke Mimic Score had the highest discrimination for stroke mimics among the 4 scores tested (AUROC = 0.75, 95% CI = 0.63-0.87). However, all 4 scores performed similarly (DeLong p > 0.05). Telestroke Mimic Score had the highest sensitivity (91.3%), while Khan score had the highest specificity (88.2%). All 4 scores had high positive predictive value (88.1 to 97.5%) and low negative predictive values (4.7 to 32.3%). A novel decision tree, using only age, presence of migraine and psychiatric history, had a higher prediction performance (AUROC = 0.80). CONCLUSION: Four tested stroke mimic prediction scales performed similarly to identify stroke mimics in the emergency setting. A novel decision tree may improve the identification of stroke mimics.

Correction to: atypical radiological findings of primary central nervous system lymphoma.

The above article was published with incorrect list of authors. We have added Seyed Ehasan Saffari and his affiliation as the addition of the new author to the author list was requested at revision stage.