PURPOSE: This study was conducted to test criterion-related validity of the Critical Patients' Severity Classification System (CPSCS) developed by the Hospital Nurses' Association by examining relationships with brain injury severity measured by Glasgow Coma Scale (GCS), recovery state measured by Glasgow Outcome Scale (GOS), and days of stay in ICU of brain injury patients. METHODS: Prospective correlational research design was adopted by including 194 brain injury patients admitted to ICU of one university hospital. RESULTS: The score of CPSCS appeared to significantly discriminate the severity of brain injury. Among nursing activities in CPSCS, Respiratory therapy, IV Infusion and Medication, Monitoring, Activities of Daily Living (ADL), Treatment and Procedure were significant to discriminate the severity of brain injury. Respiratory therapy, Vital Signs, and Monitoring appeared to significantly discriminate the recovery states of 1- and 3-months. Nursing activities significantly contributed to predict the days of ICU stay were Respiratory therapy, ADL, and Teaching and Emotional Support. CONCLUSION: CPSCS developed by the Hospital Nurses Association appeared to be valid to discriminate or predict brain injury severity, recovery states, and days of stay in ICU for brain injury patients.
Activities of Daily Living ; Brain Injuries ; Glasgow Coma Scale ; Glasgow Outcome Scale ; Humans ; Prospective Studies ; Research Design ; Respiratory Therapy ; Vital Signs

INTRODUCTIONIn order to commit to their mission and placement requirements, medical education policy-makers are required to understand the background and character of students in order to admit, cultivate and support them efficiently and effectively.

MATERIALS AND METHODSThis study sample consisted of 408 homogeneous medical students with the same level of education, occupation, school and societal environment. They differed mainly in their family background. Therefore, this study used part of a multidimensional "student portfolio system" database to assess the correlation between family status (indexed by parental education and occupation) and medical students' mental health status and characters. The controls were a group of 181 non-medical students in another university.

RESULTSThe parents of the medical students were from a higher socioeconomic status (SES) than the parents of those in the control group. This showed the heritability of genetic and environment conditions as well as the socioeconomic forces at play in medical education. Students' personal and professional development were associated with their parents' SES. The mother's SES was associated with the student's selfreported stress, mental disturbances, attitude towards life, personality, health, discipline, internationalisation and professionalism. The fathers' SES did not show a statistically significant association with the above stress, physical and mental health factors, but showed an association with some of the personality factors. The greater the educational difference between both parents, the more stress, hopelessness and pessimism the student manifested.

CONCLUSIONSMedical educators need to be aware that socioeconomic factors have meaningful patterns of association with students' mental and physical health, and their characters relating to personal and professional development. Low maternal SES negatively influences medical students' personal and professional development, suggesting that medical education policy-makers need to initiate support mechanisms for those with latent vulnerability.

Education, Medical ; methods ; Family Relations ; Female ; Humans ; Interpersonal Relations ; Male ; Mental Health ; Retrospective Studies ; Social Class ; Students, Medical ; psychology ; Taiwan

Chronic traumatic encephalopathy (CTE) is a distinct neurodegenerative disease that associated with repetitive head trauma. CTE is neuropathologically defined by the perivascular accumulation of abnormally phosphorylated tau protein in the depths of the sulci in the cerebral cortices. In advanced CTE, hyperphosphorylated tau protein deposits are found in widespread regions of brain, however the mechanisms of the progressive neurodegeneration in CTE are not fully understood. In order to identify which proteomic signatures are associated with CTE, we prepared RIPA-soluble fractions and performed quantitative proteomic analysis of postmortem brain tissue from individuals neuropathologically diagnosed with CTE. We found that axonal guidance signaling pathwayrelated proteins were most significantly decreased in CTE. Immunohistochemistry and Western blot analysis showed that axonal signaling pathway-related proteins were down regulated in neurons and oligodendrocytes and neuron-specific cytoskeletal proteins such as TUBB3 and CFL1 were reduced in the neuropils and cell body in CTE. Moreover, oligodendrocyte-specific proteins such as MAG and TUBB4 were decreased in the neuropils in both gray matter and white matter in CTE, which correlated with the degree of axonal injury and degeneration. Our findings indicate that deregulation of axonal guidance proteins in neurons and oligodendrocytes is associated with the neuropathology in CTE. Together, altered axonal guidance proteins may be potential pathological markers for CTE.
Axons ; Blotting, Western ; Brain Injury, Chronic ; Brain ; Cell Body ; Cerebral Cortex ; Craniocerebral Trauma ; Cytoskeletal Proteins ; Gray Matter ; Humans ; Immunohistochemistry ; Neurodegenerative Diseases ; Neurons ; Neuropathology ; Neuropil ; Oligodendroglia ; tau Proteins ; White Matter

Objectives: The aim of this study was to characterize the benefits of converting Electronic Medical Records (EMRs) to a common data model (CDM) and to assess the potential of CDM-converted data to rapidly generate insights for benefit-risk assessments in post-market regulatory evaluation and decisions. Methods: EMRs from January 2013 to December 2016 were mapped onto the Observational Medical Outcomes Partnership-CDM (OMOP-CDM) schema. Vocabulary mappings were applied to convert source data values into OMOP-CDM-endorsed terminologies. Existing analytic codes used in a prior OMOP-CDM drug utilization study were modified to conduct an illustrative analysis of oral anticoagulants used for atrial fibrillation in Singapore and South Korea, resembling a typical benefit-risk assessment. A novel visualization is proposed to represent the comparative effectiveness, safety and utilization of the drugs. Results: Over 90% of records were mapped onto the OMOP-CDM. The CDM data structures and analytic code templates simplified the querying of data for the analysis. In total, 2,419 patients from Singapore and South Korea fulfilled the study criteria, the majority of whom were warfarin users. After 3 months of follow-up, differences in cumulative incidence of bleeding and thromboembolic events were observable via the proposed visualization, surfacing insights as to the agent of preference in a given clinical setting, which may meaningfully inform regulatory decision-making. Conclusions While the structure of the OMOP-CDM and its accessory tools facilitate real-world data analysis, extending them to fulfil regulatory analytic purposes in the post-market setting, such as benefit-risk assessments, may require layering on additional analytic tools and visualization techniques.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.