ABSTRACT
Background Low back pain (LBP) is common and considerably impacts daily lives across all age groups. MRI is not frequently used as a first-line investigation for patients presenting with LBP, except in the presence of red-flag symptoms. This study aimed to use pain severity and its impact as a predictor for MRI findings to help physicians decide whether a patient needs an MRI. Methods This cross-sectional study was conducted at the outpatient clinic of the neurosurgery department. The questionnaire included demographic data of the patients, red-flag symptoms, and the Dallas Pain Questionnaire (DPQ). The primary physician then determines whether the patient should have an MRI appointment. Results The study included 100 patients with LBP, of which 71 had chronic LBP (CLBP). Out of these 71, an MRI was requested for 62, but only 26 had findings related to LBP. Regarding the impact of CLBP on daily activities as measured by the DPQ, there was a significant association between those whose CLBP affected their daily activities and the decision to request an MRI. However, no significant statistical association was found between the three other parameters of the DPQ and the primary physician's decision to request an MRI. Conclusion Concerning the use of the DPQ questionnaire to predict MRI findings in patients with CLBP, the study indicates that significant pain impact on the DPQ does not necessarily correlate with MRI findings related to LBP. This suggests that the DPQ evaluation tool has no advantage over a physician's clinical judgment.
ABSTRACT
Introduction Multiple sclerosis (MS) is an autoimmune disease that can be disabling to patients. Smoking has been proposed to be a risk factor for MS and to increase the risk of progression of the disease and its severity. However, it is still not clear how smoking affects people with MS (PwMS) regarding disease phenotype, symptoms, relapses, course, and disability. The aim of this study is to investigate the effect of smoking on PwMS in Saudi Arabia. Methods This is an online questionnaire-based cross-sectional study. PwMS were randomly contacted through different MS societies and associations to participate in the study. The questionnaire inquired about demographics, MS phenotype and severity, and smoking status of the participants. Data were collected between May 30, 2021, and July 5, 2021. Results Four hundred twenty-nine PwMS participated in the study. The mean age was 33.7, with a mean disease duration of 8.1 years. About 61.1% of the participants were female. About 62.2% did not know the specific MS phenotype they have. About 35.7% were current or previous smokers, with a mean smoking duration of 13.9 years. Smoking was significantly associated with the presence of multiple MS symptoms (p-value = 0.009) and their number (p-value = 0.050). In addition, there was a significant positive correlation between pack-years smoking and the number of MS symptoms with a Pearson's r value of 0.165 (p-value = 0.001). No significant associations were found between smoking and recent relapses and disease progression, disability in terms of walking, needing a cane, or needing a wheelchair. Conclusion Smoking was shown to have a significant effect on the number of symptoms experienced by PwMS. Higher pack-years of smoking correlates positively and significantly with a higher number of MS symptoms. Further studies to examine these relations are hence warranted.
ABSTRACT
Background Alzheimer's disease (AD) and insulin resistance (IR) are common in the elderly. IR reduces the ability of insulin to work effectively on target tissues. This results in hyperglycemia, increased triglyceride levels, decreased high-density lipoprotein (HDL) levels, elevated blood pressure, and central obesity, a condition known as metabolic syndrome (MetS). MetS eventually affects cognition, but its relationship with AD is unclear. Therefore, we studied the association between AD and IR and the relation between AD and diabetic patients treated with insulin. Methods This was a record-based retrospective cohort study using data from King Abdulaziz Medical City, Jeddah, Ministry of National Guards-Health Affairs. for all patients with dementia and AD, from 2009 to 2018. We examined 354 patient files. The triglyceride-glucose (TyG) index was used for the assessment of IR. Results There was no significant association between patients' demographic data, glycated hemoglobin, and co-morbidities and developing AD. Statistical models showed that, after adjustment for age, patients with IR had a significantly higher likelihood of AD (adjusted OR = 1.4; 95% CI: 1.01-2.33). After multivariate adjustment, patients with IR still had a 20% higher probability of developing AD than others (adjusted OR = 1.2; 95% CI: 1.0-3.1). Conclusion These results suggest that AD is associated with IR. Moreover, the association may be confounded by many patient-related factors.
