Patterns and predictors of sexual dysfunction in women with epilepsy.

OBJECTIVES: Available data about sexual-related problems among Egyptian women with epilepsy (WWE) are scarce. Hence, this work aimed to study the pattern and predictors of sexual dysfunction in a sample of Egyptian WWE. METHODS: In this cross-sectional study, sexually active WWE and age and years of marriage-matched healthy controls were included. The Female Sexual Function Index questionnaire (FSFI) was used to assess sexual function in both groups. RESULTS: In the patient group (n = 142), the median age was 33 (28-39), whereas the median age of the control group (n = 142) was 33.5 (28-36). Women with epilepsy had significantly lower desire, arousal, pain, and FSFI-total scores than the control group (P = 0.001, 0.001, 0.023, 0.008, respectively). There was a significant difference between the FSFI-total score of women on polytherapy and those on monotherapy (P = 0.042), as well as between those on enzyme-inducing ASMs and those on ASMs that did not affect P450 (P = 0.032). Seizure frequency in the last three months was negatively correlated with scores of desire, arousal, lubrication, orgasm, and satisfaction (P 0.047, 0.02, 0.009, 0.013, 0.046, respectively). By multiple backward linear regression models, age, and seizure frequency were the significant predictors of the FSFI-total score (B -0.219, -0.33, respectively). CONCLUSION: The pattern of sexual dysfunction among Egyptian WWE is characterized by reduced sexual desire, arousal deficits, and sexual-related pain. Seizure frequency, epilepsy duration, enzyme-inducing medications, and multiple anti-seizure medications (ASMs) may adversely affect WWE's sexual health. The only factor that could predict higher sexual dysfunction in WWE was higher seizure frequency.

Comorbid conditions in Egyptian patients with migraine.

BACKGROUND: Identifying migraine comorbidities may guide prognosis and treatment options. This study aimed to assess the frequency of comorbid conditions among adults with migraine living in Greater Cairo. METHODS: In this cross-sectional study, Egyptian migraine sufferers aged ≥ 18 years living in Greater Cairo were consecutively recruited (April 2019 - April 2021). Following The International Classification of Headache Disorders-third edition, diagnosis of migraine was confirmed, and the type of migraine was defined as whether episodic or chronic, with or without aura, with childhood/adolescence or adulthood onset. Specialist physicians from the research team assessed comorbid conditions among the respondents. RESULTS: The mean age of respondents (n = 1064) was 35 ± 7. Irritable bowel syndrome represented the most common comorbidity in our patients (45.5%), followed by vitamin D deficiency (41.8%). The frequency of epilepsy, stroke, multiple sclerosis, and systemic lupus erythematosus was significantly higher in patients with chronic than episodic type (χ2 = 4.514, P = 0.034), (χ2 = 12.302, P = 0.001), (χ2 = 12.302, P = 0.001), (χ2 = 4.806, P 0.028), respectively. Females with menstrual migraines had a significantly higher frequency of generalized anxiety disorder, panic attacks, and restless leg syndrome than those with non-menstrual migraines (χ2 = 7.636, P 0.006), (χ2 = 9.245, P = 0.002), and (χ2 = 11.997, P = 0.001), respectively. The frequency of diabetes was significantly higher in patients with migraine with aura than in those without aura (χ2 = 4.248, P value 0.039). CONCLUSION: This study provides a better understanding of the comorbidities in Egyptian patients with migraine and will provide new avenues for developing individualized therapy for migraine patients.

Neuropsychiatric post-acute sequelae of COVID-19: prevalence, severity, and impact of vaccination.

The potential long-term neuropsychiatric effects of COVID-19 are of global concern. This study aimed to determine the prevalence and predictors of neuropsychiatric post-acute sequelae of COVID-19 among Egyptian COVID-19 survivors and to study the impact of full vaccination before COVID-19 infection on the occurrence and severity of these manifestations. Three months after getting COVID-19 infection, 1638 COVID-19 survivors were screened by phone for possible neuropsychiatric sequelae. Subjects suspected to suffer from these sequelae were invited to a face-to-face interview for objective evaluation. They were requested to rate the severity of their symptoms using visual analogue scales (VAS). The mean age of participants was 38.28 ± 13 years. Only 18.6% were fully vaccinated before COVID-19 infection. Neuropsychiatric post-acute sequelae of COVID-19 were documented in 598 (36.5%) subjects, fatigue was the most frequent one (24.6%), followed by insomnia (16.4%), depression (15.3%), and anxiety (14.4%). Moderate and severe COVID-19 infection and non-vaccination increased the odds of developing post-COVID-19 neuropsychiatric manifestations by 2 times (OR 1.95, 95% CI = 1.415-2.683), 3.86 times (OR 3.86, 95% CI = 2.358-6.329), and 1.67 times (OR 1.67, 95% CI = 1.253-2.216), respectively. Fully vaccinated subjects before COVID-19 infection (n = 304) had significantly lesser severity of post-COVID-19 fatigue, ageusia/hypogeusia, dizziness, tinnitus, and insomnia (P value = 0.001, 0.008, < 0.001, 0.025, and 0.005, respectively) than non-vaccinated subjects. This report declared neuropsychiatric sequelae in 36.5% of Egyptian COVID-19 survivors, fatigue being the most prevalent. The effectiveness of COVID-19 vaccines in reducing the severity of some post-COVID-19 neuropsychiatric manifestations may improve general vaccine acceptance.

Post-COVID-19 neuropsychiatric manifestations among COVID-19 survivors suffering from migraine: a case-control study.

BACKGROUND: The burden of post-coronavirus disease (COVID)-19 symptoms has been increasing and is of great concern in patients with pre-existing chronic medical conditions.This study aimed to delineate the post-COVID-19 neuropsychiatric symptoms among migraine patients compared to the non-migraine control group. METHODS: Two groups, each of 204 COVID-19 survivors, were enrolled in the study after 3 months of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection, one group fulfilling the episodic migraine criteria and the other serving as a matching control group. Subjects were evaluated through an in-person interview for post-COVID-19 neuropsychiatric symptoms, including detailed headache patterns and severity, using the visual analogue scale. RESULTS: The Frequency of headache during the acute phase of COVID-19 was more frequent in migraine patients (OR = 1.60, 95%CI = 1.04-2.45, P-value = 0.031). The reported significant post-COVID-19 neuropsychiatric symptoms in migraine patients compared to controls were fatigue (OR = 1.662, 95%CI = 1.064-2.596, P-value = 0.025), anosmia/hyposmia (OR = 2.06, 95%CI = 1.164- 3.645, P-value = 0.012), cacosmia (OR = 2.663, 95%CI = 1.145-6.195, P-value = 0.019), depression (OR = 2.259, 95%CI = 1.284- 3.975, P-value = 0.004), anxiety (OR = 3.267, 95%CI = 1.747- 6.108, P-value ≤ 0.001), insomnia (OR = 2.203, 95%CI = 1.298- 3.739, P-value = 0.003), and headache (OR = 3.148, 95%CI = 1.616-6.136, P-value = ≤ 0.001).While there was no statistically significant difference between migraine patients and controls regarding the post-COVID-19 functional status score (P-value = 0.102). The pattern of post-COVID-19 headache was reported as chronic headache transformation in 17.6% of the migraine group, with the median intensity rate being 5.5 and IQR (3-7). In the control group, 14% experienced chronic headache attributed to systemic viral infection with a median intensity rate of 2 and IQR (2-5), while 12% experienced a new daily persistent headache with a median intensity of 5 and IQR (1-6). CONCLUSION: The study highlighted the importance of follow-up migraine patients upon recovery from COVID-19 infection, being more vulnerable to post-COVID-19 symptoms.

Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model.

OBJECTIVES: During the COVID-19 pandemic, a quick and reliable phone-triage system is critical for early care and efficient distribution of hospital resources. The study aimed to assess the accuracy of the traditional phone-triage system and phone triage-driven deep learning model in the prediction of positive COVID-19 patients. SETTING: This is a retrospective study conducted at the family medicine department, Cairo University. METHODS: The study included a dataset of 943 suspected COVID-19 patients from the phone triage during the first wave of the pandemic. The accuracy of the phone triaging system was assessed. PCR-dependent and phone triage-driven deep learning model for automated classifications of natural human responses was conducted. RESULTS: Based on the RT-PCR results, we found that myalgia, fever, and contact with a case with respiratory symptoms had the highest sensitivity among the symptoms/ risk factors that were asked during the phone calls (86.3%, 77.5%, and 75.1%, respectively). While immunodeficiency, smoking, and loss of smell or taste had the highest specificity (96.9%, 83.6%, and 74.0%, respectively). The positive predictive value (PPV) of phone triage was 48.4%. The classification accuracy achieved by the deep learning model was 66%, while the PPV was 70.5%. CONCLUSION: Phone triage and deep learning models are feasible and convenient tools for screening COVID-19 patients. Using the deep learning models for symptoms screening will help to provide the proper medical care as early as possible for those at a higher risk of developing severe illness paving the way for a more efficient allocation of the scanty health resources.

Vitamin D status in diabetic patients (type 2) and its relation to glycemic control & diabetic nephropathy.

BACKGROUND: Vitamin D deficiency appears to be lower in diabetic patients. Vitamin D may affect glycemic control & diabetic nephropathy. AIM: To assess vitamin D level in type 2 diabetic patients and its relation to their glycemic control and development of nephropathy compared to healthy controls. DESIGN: and Setting: Case control study including 82 participants (41 cases and 41 controls) from Family Medicine Clinic, Cairo University Hospitals. METHOD: Participants fulfilling the inclusion criteria were allocated into two groups, diabetes and control groups. History was taken, examination was done, and blood sample was withdrawn for analysis of Vitamin D levels and HBA1C. From the diabetic group only, serum creatinine was assessed and urine sample was collected for microalbuminuria. The results were analyzed using SPSS program version 21. RESULTS: Vitamin D level was lower in the diabetic group compared to control (65.5% and 56.1%). Vitamin D level was inversely proportionate to HbA1c levels in the diabetic patients (p value 0.000 & r -0.482), as well as to the A/C ratio (p value 0.01 & r -0.396). CONCLUSION: Vitamin D level appeared to be lower in diabetic patients and is associated with poor glycemic control & microalbuminuria.