Sriwijaya Journal of Neurology

Bell's Palsy as a Potential Predictor Factor for Stroke: A Systematic Literature Review

2024-01-08T05:34:27+00:00

Introduction: Bell's palsy, which is caused by herpes simplex virus type 1 (HSV-1) and varicella-zoster virus (VZV), can be a marker for stroke. This study aims to identify and explain the potential of Bell's palsy as a predictor factor for stroke.

Methods: The literature search process was carried out on various databases (PubMed, Web of Sciences, EMBASE, Cochrane Libraries, and Google Scholar) regarding Bell’s palsy and stroke. The search was performed using the terms: (1) " Bell’s palsy" AND "morbidity" AND (2) "stroke". This study follows the preferred reporting items for systematic reviews and meta-analysis (PRISMA) recommendations.

Results: There are three studies included in this review. A study by Lee et al. stated that there was a significant value in the group of patients aged over 45 years with low socioeconomic status and patients with a history of hypertension, hyperlipidemia, and coronary artery disease (p < 0.005). A study by Kim et al. stated that the Bell's Palsy group had a hazard ratio (HR) (1.19-2.02) for the development of stroke in the future. Meanwhile, a study by Lee et al. showed a significantly higher cumulative incidence of ischemic stroke in Bell's palsy (P < 0.001) compared with controls, which was different from hemorrhagic stroke (P = 0.141).

Conclusion: Bell's palsy acts as a simple predictor of stroke.

Analysis of Risk Factors for Carpal Tunnel Syndrome (CTS)

2024-01-10T03:48:06+00:00

Introduction: Carpal tunnel syndrome (CTS) is one of the musculoskeletal disorders most frequently reported in hospitals. Research on risk factors for CTS in Indonesia is still limited. Therefore, this study aims to analyze the risk factors for CTS at Dharma Husada Hospital, Probolinggo, Indonesia. It is hoped that this research can provide more complete information about the risk factors for CTS in Indonesia.

Methods: This study is an analytical observational research with a cross-sectional. This study uses secondary data obtained from the medical records installation at Dharma Husada Hospital, Probolinggo, Indonesia.

Results: A total of 300 research subjects took part in this study. Female gender, age ≥50 years, work with repeated use of hands and wrists and length of work with wrists more than 6 hours per day are risk factors that play a major role in the incidence of CTS at Dharma Husada Hospital Probolinggo Indonesia.

Conclusion: Jobs that require repetitive use of the hands and wrists are one of the main risk factors for CTS. This is caused by repeated pressure on the median nerve in the carpal tunnel.

The Relationship Between Shift Work Patterns and Cognitive Function Disorders in Health Workers at Hospital X, West Java, Indonesia

2024-02-28T03:18:53+00:00

Introduction: Jobs with shift work patterns, especially irregular ones, can disrupt circadian rhythms and sleep quality, which then impacts cognitive function. Despite its importance, research on cognitive domain vulnerabilities related to shift work patterns is still limited. Sleep quality and cognitive function are critical in the context of hospital health services, where decisions and actions must be taken quickly and precisely to support patient safety.

Methods: This research is a cross-sectional observational analytical study to determine the relationship between shift work patterns and impaired cognitive function. To measure sleep quality, the Pittsburgh Sleep Quality Index Indonesian (PSQI-Ina) is used, while cognitive function and cognitive domains were measured using Oxford Cognitive Screen (OCS) Indonesian (OCS-Ina), a cognitive instrument for stroke patients, which has been validated. The minimum sample size in this study was 72 samples. Correlation, principal component analysis, demographic analysis, and regression were used to characterize the relationship between PSQI-Ina, OCS-Ina, and other research variables.

Results: A total of 83 health workers met the inclusion criteria and were included in the research. The results showed that 16 respondents (19.3%) experienced impaired cognitive function in the Attention domain and 2 respondents (2.4%) experienced impairment in 2 cognitive domains (Attention and Number Management). The results of statistical analysis showed a significant relationship with health workers who had part-time jobs having a 12.8-fold risk (OR 12.8; 95% CI 1.7-91; p = 0.011) of experiencing cognitive impairment. Then health workers who experience poor sleep quality (with a PSQI value >5) have a 40.3 times greater risk (OR 40.3; 95% CI 2.2-708.1; p = 0.011) of experiencing cognitive impairment. Likewise, health workers with irregular shift work patterns have a 5.4 times risk of experiencing cognitive impairment (OR 5.4; 95% CI 0.1-26.6; p = 0.036).

Conclusion: There is a relationship between shift work patterns and impaired cognitive function in the workplace. Hospitals should prioritize ergonomic shift work schedules, emphasizing speed and clockwise rotation, to support the well-being of their healthcare workers.

The Impact of Cholesterol on Stroke Outcomes: A Cross-Sectional Analysis in Central Java

2024-08-06T01:18:24+00:00

Introduction: Stroke remains a leading cause of mortality and morbidity globally, with variations in subtypes and risk factors observed across populations. The role of cholesterol in stroke, particularly its association with ischemic and hemorrhagic subtypes, continues to be investigated. This study aimed to examine the relationship between cholesterol levels and stroke outcomes in a Central Javanese population.

Methods: A cross-sectional study was conducted at hospitals in Central Java, Indonesia. Data were collected from medical records of patients diagnosed with ischemic or hemorrhagic stroke between January and December 2022. Demographic information, stroke subtype, and cholesterol levels were analyzed. Statistical tests were employed to assess the association between cholesterol and stroke outcomes.

Results: The study included 68 patients (34 ischemic, 34 hemorrhagic). The majority of hemorrhagic stroke patients were female (52.9%), while ischemic stroke patients were predominantly male (64.7%). The mean cholesterol level for hemorrhagic stroke patients was 202.59 mg/dL, and for ischemic stroke patients, it was 190.26 mg/dL. Statistical analysis revealed no significant association between cholesterol levels and stroke subtype (p > 0.05).

Conclusion: The findings suggest that cholesterol levels may not be a primary determinant of stroke subtype in this Central Javanese population. Further research is warranted to explore other potential risk factors and their interplay with cholesterol in influencing stroke outcomes.

Longitudinal Assessment of Biomarkers for Predicting Alzheimer's Disease Progression: A Prospective Cohort Study in Thailand

2024-08-21T05:55:48+00:00

Introduction: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory impairment. Early identification and prediction of disease progression are critical for timely intervention and management. This prospective cohort study aimed to investigate the longitudinal trajectories of various biomarkers and their predictive value for AD progression in a Thai population.

Methods: A cohort of participants, including individuals with mild cognitive impairment (MCI) and cognitively normal older adults, were recruited from memory clinics and community settings in Thailand. Baseline assessments included clinical evaluations, neuropsychological tests, and biomarker measurements (cerebrospinal fluid (CSF) biomarkers, neuroimaging, and blood-based markers). Participants underwent follow-up assessments at regular intervals over several years to track disease progression.

Results: The study identified longitudinal changes in various biomarkers associated with AD progression. CSF biomarkers, such as amyloid-beta (Aβ) and tau, showed significant alterations over time, with decreasing Aβ and increasing tau levels observed in individuals transitioning from MCI to AD. Neuroimaging markers, including hippocampal volume and cortical thickness, demonstrated progressive atrophy in AD patients. Blood-based markers, such as neurofilament light chain (NfL), showed promising potential as predictors of disease progression.

Conclusion: This study provides valuable insights into the longitudinal trajectories of biomarkers and their predictive value for AD progression in the Thai population. The findings support the use of a multi-modal biomarker approach for early identification and monitoring of AD, paving the way for personalized interventions and improved patient management.