RESUMO
Sickle cell disease (SCD) is a genetic blood disorder that affects hemoglobin and increases stroke risk, particularly in childhood. This review examines the pathophysiological association between SCD and stroke, the classification of stroke types, risk factors, diagnosis, management, prevention, and prognosis. A comprehensive literature search was conducted via PubMed, Scopus, and Cochrane databases. Relevant studies on SCD and stroke pathophysiology, classification, epidemiology, diagnosis, treatment, and prevention were identified. Sickle cell disease causes red blood cells to become rigid and sickle-shaped, obstructing blood vessels. Recurrent sickling alters cerebral blood flow and damages vessel walls, often leading to ischemic or hemorrhagic strokes (HS). These occur most frequently in childhood, with ischemic strokes (IS) being more common. Key risk factors include a prior transient ischemic attack (TIA), low hemoglobin, and a high leukocyte count. Neuroimaging is essential for diagnosis and determining stroke type. Primary prevention centers on blood transfusions and hydroxyurea for those at high risk. Acute treatment involves promptly restoring blood flow and managing complications. However, significant knowledge gaps remain regarding stroke mechanisms, optimizing screening protocols, and improving long-term outcomes. This review synthesizes current evidence on SCD and stroke to highlight opportunities for further research and standardizing care protocols across institutions. Ultimately, a holistic perspective is critical for mitigating the high risk of debilitating strokes in this vulnerable patient population.
RESUMO
BACKGROUND: Urolithiasis, a common clinical condition, has seen a global increase in prevalence in recent years. Urinary stones are common in hot climate areas like Saudi Arabia. This study aimed to assess the prevalence and awareness of risk factors for urinary stones in Jazan, Saudi Arabia. METHODS: A cross-sectional study was conducted among 1000 Jazan adults between January and June 2022. A questionnaire was used to collect data on sociodemographics, urinary stone diagnosis, and awareness of risk factors. RESULTS: The overall prevalence of diagnosed urinary stones was 140 (14.0%). The prevalence was higher among patients who were older, married, had higher education, and were employees (all P<0.001). Participants who believed that hot weather (p = 0.012), sleeve gastrectomy (p = 0.049), and Saxenda injections (p = 0.000) increased the risk of stones had a higher prevalence. No association was found between stones and other sociodemographic factors or dietary habits. The main sources of knowledge were the internet (426, 42.6%) and education (155, 15.5%). CONCLUSIONS: The prevalence of urinary stones in Jazan is considerable (14.0%). Certain sociodemographic factors and beliefs about risk factors were associated with higher prevalence. Improving public awareness about the prevention and risk factors for urinary stones is crucial to controlling this health problem in high-risk communities.
RESUMO
Background and objective Non-adherence to psychotropic medication can aggravate an individual's illness, diminish treatment efficacy, or make patients less responsive to future therapeutic interventions. There are several scales available to measure non-adherence to medications. In this study, we aimed to measure psychotropic medication adherence and its associated factors among schizophrenic outpatients in Saudi Arabia. Methodology A cross-sectional study was conducted with a view to measuring psychotropic medication adherence and its associated factors. The Medication Adherence Rating Scale (MARS) and the Drug Attitude Inventory-10 (DAI-10) were translated into Arabic, and their internal consistency was measured. The adjusted odds ratios (AOR) were calculated using logistic regression in the IBM SPSS Statistics software version 23 (IBM Corp., Armonk, NY). Results Spearman's rho correlation indicated a negative association between DAI-10 and MARS scores (r = -0.579; p<0.05). The Arabic version of MARS was more reliable than DAI-10, as evidenced by Cronbach's alpha value. Of note, 60.20% (n = 59) of the sample demonstrated high adherence levels. The adherence level based on MARS scoring remained unaffected (p>0.05) in terms of gender, age, employment, marital status, educational level, income level, and duration of sickness. These results were obtained by using the multivariate logistic regression model; 89% of respondents reported not using psychiatric drugs given by someone else, despite the adherence rate not affecting this number. Conclusion The rate of non-adherence to psychotropic treatment was found to be high in our cohort. Hence, it is imperative to develop comprehensive intervention methods targeting the causes of non-adherence to psychiatric medication.
RESUMO
Urinary tract infections (UTIs) are one of the most common long-term complications of diabetes mellitus (DM). Additionally, various factors, such as socio-demographics, type of DM, fasting blood glucose, regular diabetes monitoring, comorbid chronic diseases, HbA1c, body mass index (BMI), and duration of DM, are also thought to predispose individuals to developing UTIs more frequently when they have DM. This research aims to evaluate the risk factors for UTIs and their prevalence among people with DM in Saudi Arabia (KSA). This cross-sectional study was conducted among 440 adults with type 1, type 2, and gestational DM. The participants had to be at least 18 years old, of both genders, and had been suffering from DM for any period of time. A self-administered questionnaire was utilized to collect data on demographic characteristics, such as sex, age, height, weight, material state, education level, income, and clinical profiles of DM and UTI. The crude (COR) and adjusted odds ratios (AOR) were calculated using logistic regression in the IBM SPSS software. The incidence of types 1 and 2 DM and gestational diabetes reached 34.1, 60.9, and 5%, respectively. Most of the participants had first-degree relatives with DM (65.9%). UTI was common in 39.3% of participants. A chi-squared statistical analysis revealed that the frequency of UTI varied depending (χ2 = 5.176, P = 0.023) on the type of DM. Burning urination and abdominal pain were the most common symptoms. The CORs for sex, marital status, hypertension, and BMI were significant (P < 0.05) and had values of 2.68 (95% CI = 1.78-4.02), 0.57 (95% CI = 0.36-0.92), 1.97 (95% CI = 1.14-3.43), and 2.83 (95% CI = 1.19-2.99), respectively. According to the adjusted model, only sex influenced the occurrence of UTIs. The AOR for sex was 3.45 (95% CI = 2.08-5.69). Based on this study, the authorities related to the health of DM patients can use its findings to guide awareness programs and clinical preparedness.
