To estimate the healthcare costs associated with post-stroke dysphagia during acute hospitalisation and to identify factors influencing these costs in a tertiary hospital setting in Vietnam.
A cross-sectional study using clinical and billing data from hospital records.
The study was conducted at the Neurology Center of Bach Mai Hospital, a tertiary care facility in Hanoi, Vietnam, between June 2020 and January 2022.
A total of 951 patients aged ≥18 years with acute ischaemic stroke confirmed by CT or MRI were included. Dysphagia was assessed using the Gugging Swallowing Screen.
Direct healthcare costs during hospitalisation were collected from the hospital billing system and categorised as medications, diagnostic imaging, medical supplies, accommodation, food, procedures and laboratory tests. All costs were converted to USD. Associations between patient characteristics and total healthcare costs were analysed using generalised linear models (Gamma distribution with log link), applying robust standard errors.
The median treatment cost was 10.08 million VND (436.24 USD) in the dysphagia group vs 6.37 million VND (275.78 USD) in the non-dysphagia group. Costs increased with dysphagia severity, reaching 22.64 million VND (979.49 USD) among patients with severe dysphagia. In multivariate analysis, dysphagia was associated with a 21% increase in costs (exp(β) = 1.21; 95% CI 1.10 to 1.33; p14, pneumonia, prolonged hospitalisation and higher educational level.
Post-stroke dysphagia substantially increases acute hospitalisation costs in Vietnam. Early screening, standardised management and preventive care for complications may improve outcomes and reduce costs.
The study was registered on the Research Registry website (https://www.researchregistry.com/) under the unique identification number: researchregistry8203.
To determine the incidence of in-hospital postoperative mortality and validate the Preoperative Score to Predict Postoperative Mortality (POSPOM).
Retrospective case–control study.
A tertiary university hospital in Thailand.
All patients who underwent surgical procedures in 2019 under any anaesthesia technique.
Incidence of in-hospital postoperative mortality and POSPOM score performance (sensitivity, specificity and predictive values).
A total of 39 674 patients underwent surgery in 2019. The in-hospital postoperative mortality rate was 0.76% (95% CI 0.68% to 0.85%). After excluding cases per POSPOM criteria, 270 deceased patients remained. The POSPOM score was validated against these 270 cases and 270 randomly selected survivors, yielding an area under the receiver operating characteristic curve of 0.73 (95% CI 0.69 to 0.77). At a cut-off of 21, the sensitivity was 71.5% (95% CI 65.7% to 76.8%), and the specificity was 61.9% (95% CI 55.8% to 67.7%).
This single-centre study found a low in-hospital postoperative mortality rate. The POSPOM score demonstrated moderate predictive accuracy for postoperative mortality risk and may be useful for preoperative risk stratification.
by Nipaporn Butsing, Nalinrat Thongniran, Jesada Keandoungchun
BackgroundStrokes are the major cause of disability. Functional recovery following an acute stroke is time-dependent and varies depending on several factors. This study aimed to investigate changes in functional outcomes after stroke from discharge to six months post-discharge and to identify factors associated with changes in functional outcomes during this six-month period.
MethodsThe study included 155 consecutive patients with a first stroke and were hospitalized in an acute stroke unit at an advanced tertiary hospital in Bangkok between April 2020 and August 2021. The patients’ functional outcomes were evaluated using the modified Rankin Scale (mRS) and the Barthel Index (BI) before hospital discharge and at one-, three-, and six-month post-discharge. Friedman tests were used to assess changes in mRS scores over six months. Linear mixed effect regression was applied to identify the change in BI scores during the six months post-discharge.
ResultsOf the participants, 62.6% were men, and the mean age was 64.0 (SD = 12.5). The median mRS scores ranged from 3.0 at discharge to 0.0 at six months post-discharge. Significant changes in mRS scores were identified within three months post-discharge, and differences by stroke subtype and severity (P Conclusion
The time after discharge, gender, stroke subtype, and stroke severity are significant factors affecting functional outcomes after a stroke. The most significant improvement in functional outcomes occurred within one month post-discharge.
by Kanyanee Promsawan, Chalurmpon Srichomthong, Monnat Pongpanich, Vorasuk Shotelersuk
DNA methylation, a key epigenetic modification, regulates gene expression and diverse cellular functions. Bisulfite sequencing (BS) remains the gold standard for methylation detection, while PacBio HiFi sequencing enables direct detection without chemical conversion. Although both technologies are increasingly used, few studies have directly compared their concordance, particularly in clinically relevant settings such as Down syndrome (DS). We performed a comparative analysis of DNA methylation profiles using whole-genome bisulfite sequencing (WGBS) and PacBio high-fidelity (HiFi) whole-genome sequencing (WGS) in a pair of monozygotic twins with DS. WGBS data were processed with two pipelines, wg-blimp and Bismark, while HiFi WGS data were analyzed using pb-CpG-tools. Our analysis focused on four key aspects: CpG site detection, genomic distribution of methylated CpGs (mCs), average methylation levels, and inter-platform concordance. HiFi WGS detected a greater number of mCs—particularly in repetitive elements and regions with low WGBS coverage—while WGBS reported higher average methylation levels than HiFi WGS. Both platforms exhibited methylation patterns consistent with known biological principles, such as low methylation in CpG islands, and the relative methylation patterns across genomic features were largely concordant. Pearson correlation coefficients indicated strong agreement between platforms (r ≈ 0.8), with higher concordance in GC-rich regions and at increased sequencing depths. Depth-matched comparisons and site-level down-sampling revealed that methylation concordance improves with increasing coverage, with stronger agreement observed beyond 20 × . Our findings support the reliability of HiFi WGS for methylation detection and highlight its advantages in regions that are challenging for bisulfite-based methods. This study demonstrates that HiFi WGS can serve as a robust alternative for genome-wide methylation profiling.The management of autism spectrum disorder (ASD) involves a varied and comprehensive range of support services at various stages of an autistic individual’s life. In Thailand, parents/legal guardians of children with ASD often encounter challenges such as difficulty travelling from rural areas to access support services. The aim of the present study is to investigate the effectiveness of a computer-based intervention programme for caregivers of children with ASD called the Thai Early Intervention for Autism—Assistive Technology for Caregivers (TEI4A-ATC), designed and implemented by a multidisciplinary team.
160 children and their caregivers are being recruited. They will be randomised 1:1 into two treatment arms: access to TEI4A-ATC for the intervention group and standard care for the control group. Before enrolment, ASD diagnosis will be conducted using the Thai Diagnostic Autism Scale: children’s ASD scores will be determined using the Thai Autism Treatment Evaluation Checklist for evaluating communication, sociability and sensory/cognitive awareness and the Thai Early Developmental Assessment for Intervention for evaluating motor skills, social interaction, language development and problem-solving. Both assessment tools will be used again after 3 months of treatment. Similarly, the caregivers’ knowledge, attitude and practice (KAP) for ASD care will be assessed using a questionnaire at enrolment and again after treatment. Comparison of the children’s ASD scores and caregivers’ KAP responses between the treatment groups and before and after treatment will be performed based on the intention-to-treat principle.
This study was approved by the Human Research Ethics Committee for Mental Health and Psychiatry, Department of Mental Health, Ministry of Public Health (DMH.IRB.COA 037/2565). Written informed consent will be obtained from the participants prior to enrolment. The study’s findings may be disseminated through scientific publications and conference presentations. The results of the study will be shared with key stakeholders, including caregivers, psychiatrists, policymakers and the general public, via appropriate dissemination channels to aid in creating appropriate practice and policy guidelines.
This study was registered with the Thai Clinical Trials Registry (TCTR20240320010) on 20 March 2024.
by Thamonwan Kirdthongkham, Maria Justine, Akkradate Siriphorn
Gait prediction is critical in optimizing rehabilitation strategies for stroke survivors. This study evaluates the prognostic utility of the Stroke Rehabilitation Assessment of Movement (STREAM) scores, recorded at admission, for predicting walking ability at discharge and one-month follow-up. We assessed 47 stroke patients using STREAM at admission; walking independence was defined using two criteria: a Functional Ambulation Category (FAC) score > 3 and a 10-Meter Walk Test (10-MWT) speed ≥ 0.4 m/s. The predictive validity of STREAM scores was analyzed using the area under the receiver operating characteristic curve (AUC). Sensitivity, specificity, and cut-off values were computed. The analysis revealed that a STREAM score above 38 at admission significantly predicted independent gait by discharge, evidenced by a high AUC of 0.897. At the one-month follow-up, a cut-off score of 29 continued to predict walking independence, with an AUC of 0.987. The subscores further enhanced predictive accuracy and highlighted the effectiveness of the STREAM assessment as a robust predictor of independent walking in stroke patients. These findings suggest the practicality of using STREAM scores to predict walking independence, which can guide the planning of more effective rehabilitation interventions. Trial registration TCTR20240323004 at www.thaiclinicaltrials.org.