Hussain, Hassan ul

Abstract Introduction An unusual association between thyroid dysfunction and autoimmune encephalitis (AE) was noticed when patients presented with low free triiodothyronine (fT3) levels and antithyroid antibodies. We conducted a meta‐analysis to investigate whether thyroid dysfunction, that is, lower fT3 levels are associated with worsening clinical manifestations and prognosis in patients with AE. Methods Literature search of five electronic databases was performed till April 5, 2023. Inclusion criteria were as follows: Observational studies reporting patients with all subtypes of AE and assessing thyroid dysfunction categorized as low fT3 and non‐low fT3. Primary endpoints included modified Rankin scale (mRS) at admission, abnormal magnetic resonance imaging, length of stay, seizures, and consciousness declination. Results Comprehensive literature search resulted in 5127 studies. After duplicate removal and full‐text screening, six observational studies were included in this analysis. Patients with low fT3 were 2.95 times more likely to experience consciousness declination ( p = .0003), had higher mRS at admission ( p < .00001), had 3.14 times increased chances of having a tumor ( p = .003), were 3.88 times more likely to experience central hypoventilation, and were 2.36 times more likely to have positivity for antithyroid antibodies ( p = .009) as compared to patients with non‐low fT3. Conclusion The findings of our study suggest that low fT3 levels might be related to a more severe disease state, implying the significance of thyroid hormones in AE pathogenesis. This finding is crucial in not only improving the early diagnosis of severe AE but also in the efficient management of the disease.

Background: Soluble urokinase plasminogen activator receptor (suPAR) is an inflammatory biomarker that is used to predict mortality, readmission, early discharge, and LOS, thus, serves as a useful tool for ED physicians. Our study aims to analyze the efficacy of suPAR in predicting these prognostic markers in ED. Methods: We performed a comprehensive search on 6 databases from the inception to 30th November 2022, to select the following eligibility criteria; a) observation or triage trial studies investigating the role of suPAR levels in predicting: 30 day and 90-day mortality, 30-day readmission, early discharge (within 24hr), and LOS in patients coming to AMU. Results: A total of 13 studies were included, with a population size of 35,178, of which 52.9% were female with a mean age of 62.93 years. Increased risk of 30-day mortality (RR = 10.52; 95% CI = 4.82–22.95; I2 = 38%; P < .00001), and risk of 90-day mortality (RR = 5.76; 95% CI = 3.35–9.91; I2 = 36%; P < .00001) was observed in high suPAR patients. However, a slightly increased risk was observed for 30-day readmission (RR = 1.50; 95% CI = 1.16–1.94; I2 = 54%; P = .002). More people were discharged within 24hr in the low suPAR level group compared to high suPAR group (RR = 0.46; 95% CI = 0.40–0.53; I2 = 41%; P < .00001). LOS was thrice as long in high suPAR level patients than in patients with low suPAR (WMD = 3.20; 95% CI = 1.84–4.56; I2 = 99%; P < .00001). Conclusion: suPAR is proven to be a significant marker in predicting 30-day and 90-day mortality in ED patients.

AbstractBackgroundThe menstrual cycle in women is the main indicator of their reproductive health which is affected by the ongoing coronavirus disease 2019 (COVID‐19) pandemic. This review aims to summarize the effects of the COVID‐19 infection and the global pandemic on the menstrual health of women.MethodsThe literature search was conducted in PubMed, Cochrane library, and Google Scholar using keywords “COVID‐19,” “Menstrual Cycle,” “Menstrual Cycle Irregularities,” “Amenorrhea,” “Polymenorrhea,” and “Dysmenorrhea.” The articles were selected according to the following inclusion criteria: (i) cross‐sectional studies, (ii) cohort studies, (iii) surveys, and (iv) other observational studies observing the effects of SARS‐CoV‐2 infection or COVID‐19 pandemic on menstrual health of women. Exclusion criteria included: case reports, gray literature, and website articles regarding menstrual health.ResultsA total of 30,510 articles were shortlisted after a comprehensive search. Sixteen articles were included out of which 13 studies investigated the effects of the COVID‐19 pandemic on the menstrual cycle while 3 evaluated the possible effects of COVID‐19 infection on the menstrual health of women. Menstrual disorders or irregularities were a more common finding during the pandemic as compared to before (p = 0.008). Women affected by pandemic‐related stress were more prone to changes in the duration of their menses (p = 0.0008), reported heavier bleeding (p = 0.028), and increased incidence of painful periods (p < 0.0001). COVID‐19 infected women also reported changes in their menstrual cycle including irregular menstruation, increased symptoms of premenstrual syndrome, and infrequent menstruation.ConclusionsWomen suffering from COVID‐19 infection or pandemic‐associated stress and anxiety were more likely to experience irregular menstruation, dysmenorrhea, amenorrhea, and other menstrual abnormalities compared to those who were less exposed.