METHODS: We reviewed the FDA's MAUDE database for any adverse events involving the use of SynCardia TAH from 1/01/2012 to 9/30/2020. All the events were independently reviewed by three physicians.
RESULTS: A total of 1,512 adverse events were identified in 453 "injury and death" reports in the MAUDE database. The most common adverse events reported were infection (20.2%) and device malfunction (20.1%). These were followed by bleeding events (16.5%), respiratory failure (10.1%), cerebrovascular accident (CVA)/other neurological dysfunction (8.7%), renal dysfunction (7.5%), hepatic dysfunction (2.2%), thromboembolic events (1.8%), pericardial effusion (1.8%), and hemolysis (1%). Death was reported in 49.4% of all the reported cases (n=224/453). The most common cause of death was multiorgan failure (n=73, 32.6%), followed by CVA/other non-specific neurological dysfunction (n=44, 19.7%), sepsis (n=24, 10.7%), withdrawal of support (n=20, 8.9%), device malfunction (n=11, 4.9%), bleeding (n=7, 3.1%), respiratory failure (n=7, 3.1%), gastrointestinal disorder (n=6, 2.7%), and cardiomyopathy (n=3, 1.3%).
CONCLUSIONS: Infection was the most common adverse event following the implantation of TAH. Most of the deaths reported were due to multiorgan failure. Early recognition and management of any possible adverse events after the TAH implantation are essential to improve the procedural outcome and patient survival.
METHODS: This study comprised a total of 81 cases, consisting of 39 placenta samples of mothers with acute chorioamnionitis and 42 non-acute chorioamnionitis controls. Cx43 and Cx40 immunohistochemistry were performed on all cases and their expressions were evaluated on cytotrophoblasts, syncytiotrophoblasts, chorionic villi endothelial cells, stem villi endothelial cells, maternal endothelial cells and decidua of the placenta.
RESULTS: Primigravida has a significantly higher risk of developing acute chorioamnionitis (p < 0.001). Neonates of mothers with a higher stage of fetal inflammatory response was significantly associated with lung complications (p = 0.041) compared to neonates of mothers with a lower stage. The expression of Cx40 was significantly higher in fetal and maternal vascular endothelial cells in acute chorioamnionitis (p < 0.001 and p = 0.037, respectively) compared to controls. Notably, Cx43 was not expressed in most of the types of cells in the placenta, except for decidua. Both Cx43 and Cx40 expressions did not have correlation with the severity of acute chorioamnionitis and adverse perinatal outcomes.
CONCLUSION: Cx40 was overexpressed in the fetal and maternal vascular endothelial cells in the placenta of mothers with acute chorioamnionitis, and it may have a role in the development of inflammation in placenta.
METHOD: This cross-sectional observational study was conducted at Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan, Malaysia, from April 2021 to April 2023. This study included patients aged ≥18 years with a preliminary diagnosis of delirium. Demographic and clinical data were collected along with EEG recordings evaluated by certified neurologists to classify abnormalities and compare the associated factors between patients with delirium with or without EEG abnormalities.
RESULTS: One hundred and twenty patients were recruited, with 80.0% displaying EEG abnormalities, mostly generalized slowing (moderate to severe) and primarily generalized slowing (mild to severe), and were characterized by theta activity. Age was significantly associated with EEG abnormalities, with patients aged 75 and older demonstrating the highest incidence (88.2%). The CAM scores were strongly correlated with EEG abnormalities (r = 0.639, P < 0.001) and was a predictor of EEG abnormalities (P < 0.012), indicating that EEG can complement clinical assessments for delirium. The Richmond Agitation and Sedation Scale (RASS) scores (r = -0.452, P < 0.001) and Barthel index (BI) (r = -0.582, P < 0.001) were negatively correlated with EEG abnormalities. Additionally, a longer hospitalization duration was associated with EEG abnormalities (r = 0.250, P = 0.006) and emerged as a predictor of such changes (P = 0.030).
CONCLUSION: EEG abnormalities are prevalent in patients with delirium, particularly in elderly patients. CAM scores and the duration of hospitalization are valuable predictors of EEG abnormalities. EEG can be an objective tool for enhancing delirium diagnosis and prognosis, thereby facilitating timely interventions.
PATIENTS AND METHODS: We designed a case-control study where patients admitted with PSS were recruited with consent. Controls admitted for stroke without seizure were then included. Suitability based on exclusion criteria was ensured before recording their sociodemographic and clinical data. An EEG was performed and read by two certified neurologists before the data was analyzed.
RESULTS: We recruited 180 participants, 90 cases and 90 matched controls. Gender (p=0.013), race (p=0.015), dyslipidemia (p<0.001), prior stroke (p<0.031), large artery atherosclerosis (p<0.001), small vessel occlusions (p<0.001), blood pressure on presentation (p<0.028) and thrombolysis administration (p<0.029) were significantly associated with the occurrence of PSS. An increase in odds of PSS was observed in the male gender (1.974), dyslipidemia (3.480), small vessel occlusions (4.578), and in participants with epileptiform changes on EEG (3.630). Conversely, lower odds of PSS were seen in participants with high blood pressure on presentation (0.505), large artery atherosclerosis (0.266), and those who underwent thrombolysis (0.319).
CONCLUSION: This study emphasized that identifying post-stroke seizures may be aided by EEGs and recognizing at-risk groups, which include males of Chinese descent in Asia, dyslipidemia, small vessel occlusions, those with low to normal blood pressure on presentation, and epileptiform changes in EEGs.
METHODS: A retrospective observational study was performed on MS, AQP4-Ab NMOSD, and MOGAD patients seen at the National Neuroscience Institute (NNI) Singapore. Individuals with psychiatrist-diagnosed psychiatric disorders before and after neurological diagnosis were identified. Demographic, clinical data, and Patient Health Questionnaire (PHQ)-9 score at first clinic visit were collected and analysed.
RESULTS: Three hundred and ninety-nine patients (249 MS, 102 AQP4-Ab NMOSD, 48 MOGAD) were included. A higher proportion of MS patients (13/249, 5.2%) had psychiatric disorders before neurological diagnosis, compared to AQP4-Ab NMOSD (1/102, 1.0%) and MOGAD (0/48, 0.0%) (p = 0.054). Within MS patients, univariate logistic regression revealed that age, sex, race, MS subtype, initial MRI lesion load, and interval between classical MS symptom onset to MS diagnosis were not associated with pre-existing psychiatric disorders. Mean PHQ-9 score for MS patients at their first MS consult was 4.4 (cut-off for no/minimal depression is ≤4); no clinical factors were predictive of higher PHQ-9 scores on univariate linear regression. The proportion of MS patients (29/236, 12.2%) who developed psychiatric illness after neurological diagnosis was not different from AQP4-Ab NMOSD (9/101, 8.9%) (p > 0.999), while this was significantly higher compared to MOGAD (0/48, 0.0%) (p = 0.021). The incidence rate of psychiatric diseases after neurological diagnosis, accounting for follow up time, was also similar between MS and AQP4-Ab NMOSD (incidence rate ratio 1.2; 95% confidence interval 0.54 - 2.8; p = 0.689).
CONCLUSION: There is a significant psychiatric burden prior to MS diagnosis compared to AQP4-Ab NMOSD and MOGAD. The increased frequency of psychiatric comorbidity after NMOSD diagnosis merits further study to investigate the determinants of this phenomenon.
METHODS: A prospective cross-sectional study was conducted at a tertiary teaching hospital in Kuala Lumpur, Malaysia. Psychological screening was done using the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and General Anxiety Disorder (GAD-7) questionnaire. Patients screened positive were offered psychiatric referrals and given an early psychiatric clinic appointment if they agreed to the referral. The reasons for those who refused the referral were noted.
RESULTS: Out of 585 patients, 91 (15.5 %) were screened positive for depression and/or anxiety. Eighteen patients were excluded from the study due to pre-existing psychiatric disorders. Of the remaining 73 patients, 23 (31.5 %) agreed to be referred to a psychiatrist. Only 17 (23.3 %) attended the psychiatrist appointment. A total of 11 (15.1 %) and one (1.4 %) patients were subsequently diagnosed with major depressive disorder and generalized anxiety disorder, respectively. Another 50 (68.5 %) patients were not referred to a psychiatrist, predominantly (n = 43, 58.9 %) due to reluctance to be referred to a psychiatrist. The reasons included avoidance of referral likely related to stigma (n = 22, 51.2 %), self-reliance, family and caregivers' disapproval of referral, and logistic difficulty. The mean scores in NDDI-E and GAD-7 in the referred group were higher than the not-referred group but not statistically significant (NDDI-E: 17.8 ± 3.6 vs. 16.5 ± 2.5, p = 0.072; GAD-7: 12.4 ± 5.70 vs. 9.8 ± 5.4, p = 0.061).
CONCLUSION: A significant number of PWE were reluctant to receive psychiatric referrals predominantly due to self-avoidance or family and caregiver disapproval of referral likely related to stigma. An integrated epilepsy care management model is recommended.
METHODS: We conducted one-on-one in-depth interviews with ARM and HD patients aged ≥ 11 years who had undergone surgery at four tertiary referral centers. All interviews were audio-recorded and transcribed verbatim. We analyzed transcripts for recurring themes, and data were collected until data saturation was reached. Three researchers independently coded the transcripts for major themes using thematic analysis approach.
RESULTS: We interviewed 16 participants (11 males) between October 2022 and April 2023. Ages ranged from 11 to 26 years. Five major themes emerged: (1) personal impact (subthemes: physical, emotional and mental health, social, school), (2) impact on family, (3) perceptions of their future (subthemes: relationships, career, state of health), (4) sources of support (subthemes: family, peers, partner), and (5) transition care (subthemes: concerns, expectations). Only females expressed concerns regarding future fertility.
CONCLUSION: This study highlights the evolving problems faced by adolescents and young adults with ARM and HD, especially gender-specific concerns. Our findings can inform efforts to provide individualized care.
METHODS: 85 participants (43 fallers, 42 non-fallers) were evaluated with conventional MRI and diffusion tensor imaging (DTI) sequences of the brain. DTI metrics were obtained from selected WMT using tract-based spatial statistics (TBSS) method. This was followed by binary logistic regression to investigate the clinical variables that could act as confounding elements on the outcomes. The TBSS analysis was then repeated, but this time including all significant predictor variables from the regression analysis as TBSS covariates.
RESULTS: The mean diffusivity (MD) and axial diffusivity (AD) and to a lesser extent radial diffusivity (RD) values of the projection fibers and commissural bundles were significantly different in fallers (p < 0.05) compared to non-fallers. However, the final logistic regression model obtained showed that only functional reach, white matter lesion volume, hypertension and orthostatic hypotension demonstrated statistical significant differences between fallers and non-fallers. No significant differences were found in the DTI metrics when taking into account age and the four variables as covariates in the repeated analysis.
CONCLUSION: This DTI study of 85 subjects, do not support DTI metrics as a singular factor that contributes independently to the fall outcomes. Other clinical and imaging factors have to be taken into account.
Methods: A retrospective analysis of the regional Malaysian Trauma Surgery Database was performed over a period of 3 years from May 2011 to April 2014. NISS, RTS, Major Trauma Outcome Study (MTOS)-TRISS, and National Trauma Database (NTrD)-TRISS scores were recorded and calculated. Individual scoring system's performance in predicting trauma mortality was compared by calculating the area under the receiver operating characteristic (AUC) curve. Youden index and associated optimal cutoff values for each scoring system was calculated to predict mortality. The corresponding positive predictive value, negative predictive value, and accuracy of the cutoff values were calculated.
Results: A total of 2208 trauma patients (2004 blunt and 204 penetrating injuries) with mean age of 36 (SD = 16) years were included. There were 239 deaths with a corresponding mortality rate of 10.8%. The AUC calculated for the NISS, RTS, MTOS-TRISS, and NTrD-TRISS were 0.878, 0.802, 0.812, and 0.848, respectively. The NISS score with a cutoff value of 24, sensitivity of 86.6% and specificity of 74.3%, outperformed the rest (p