Comparison of Serum Phosphorus Level among Women with Preeclampsia and Normal Pregnancy.

Pregnancy is a physiological state. During pregnancy increased physiological changes may lead to many biochemical and anatomical alterations. The biochemical changes that seen in blood of the pregnant mother are exaggerated in various complications of pregnancy like preeclampsia. Preeclampsia is a dangerous complication that may leads to maternal and neonatal mortality. Globally it affects 3.0-5.0% of pregnant women. The study was done to analyze the changes in serum phosphorus level in pre-eclamsia compared with normal pregnancy. The study was cross sectional and was performed from July 2016 to June 2017 in the department of Biochemistry, Mymensingh Medical College, Mymensingh, Bangladesh. Total 100 subjects were included in this study. Among them 50 preeclamptic patients were taken as case and another 50 normal pregnant women were taken as control. Statistical difference was calculated by Student's unpaired 't' test. Biochemical values were expressed as mean±SD. The mean±SD of serum phosphorus levels in case and control group were 2.81±0.79 and 3.40±0.87mg/dl respectively. The difference in mean±SD of serum phosphorus were highly significant (p<0.001) when compared between case and control.

COVID 19-related burnout among healthcare workers in India and ECG based predictive machine learning model: Insights from the BRUCEE- Li study.

OBJECTIVES: COVID-19 pandemic has led to unprecedented increase in rates of stress and burn out among healthcare workers (HCWs). Heart rate variability (HRV) has been shown to be reflective of stress and burnout. The present study evaluated the prevalence of burnout and attempted to develop a HRV based predictive machine learning (ML) model to detect burnout among HCWs during COVID-19 pandemic. METHODS: Mini-Z 1.0 survey was collected from 1615 HCWs, of whom 664, 512 and 439 were frontline, second-line and non-COVID HCWs respectively. Burnout was defined as score ≥3 on Mini-Z-burnout-item. A 12-lead digitized ECG recording was performed and ECG features of HRV were obtained using feature extraction. A ML model comprising demographic and HRV features was developed to detect burnout. RESULTS: Burnout rates were higher among second-line workers 20.5% than frontline 14.9% and non-COVID 13.2% workers. In multivariable analyses, features associated with higher likelihood of burnout were feeling stressed (OR = 6.02), feeling dissatisfied with current job (OR = 5.15), working in a chaotic, hectic environment (OR = 2.09) and feeling that COVID has significantly impacted the mental wellbeing (OR = 6.02). HCWs with burnout had a significantly lower HRV parameters like root mean square of successive RR intervals differences (RMSSD) [p < 0.0001] and standard deviation of the time interval between successive RR intervals (SDNN) [p < 0.001]) as compared to normal subjects. Extra tree classifier was the best performing ML model (sensitivity: 84%) CONCLUSION: In this study of HCWs from India, burnout prevalence was lower than reports from developed nations, and was higher among second-line versus frontline workers. Incorporation of HRV based ML model predicted burnout among HCWs with a good accuracy.

Quantitative Electroencephalography in Patients With Depression and Epilepsy Spectrum Disorder and Its Correlation With Clinical Features of Depression.

OBJECTIVES: To determine the associations of epilepsy spectrum disorder (ESD) with brain insult and certain quantitative electroencephalographic (QEEG) and clinico-demographic parameters in patients with depression. METHODS: 21 right-handed patients aged 18 to 50 years with the diagnosis of depression and ESD (scored ≥70 in Iowa Interview for Partial seizure-like symptoms) were compared with 21 patients with depression but without ESD (scored <70) and 21 normal subjects with <3 positive scores on the 12-Item General Health Questionnaire. Their QEEG parameters such as power spectrum and coherence of five frequency bands in 11 regions were compared. RESULTS: Patients with ESD had more minor traumatic brain injury along with more severe and multiple depressive episodes. Patients with ESD had significantly higher beta1 power over all regions on the left scalp than did normal subjects. Patients with ESD had significantly higher beta2 power over the left central region than did patients with no ESD and normal subjects. CONCLUSIONS: For patients with severe recurrent depression, clinicians should systematically check for episodic partial seizure-like phenomena, especially when QEEG shows electrical disorganisation in the left side in those with mild traumatic brain injury.

Administration of fasudil, a ROCK inhibitor, attenuates disease in lupus-prone NZB/W F1 female mice.

Accumulating evidence from murine studies suggests that the RhoA/ROCK pathway plays an important role in the development of autoimmune disorders. We previously demonstrated that ROCK inhibition ameliorates disease in MRL/lpr mice, a spontaneous model of lupus. This study aimed to explore the protective effects of the ROCK inhibitor fasudil in a distinct model of lupus, NZB/W F1 female mice, to assess the broad applicability of ROCK inhibition for the treatment of lupus. NZB/W F1 female mice were administered fasudil continuously in their drinking water starting at 18 or 24 weeks of age up until 44 weeks of age, or remained untreated. Fasudil treatment significantly improved survival and decreased proteinuria, particularly when treatment was started at 18 weeks. There was also a significant decrease in serum anti-dsDNA autoantibody production, glomerular IgG and C3 deposition, and glomerulonephritis. Analysis of the splenic lymphocyte compartment revealed reduced effector/memory CD4(+) T cell and plasma cell numbers in fasudil treated mice while the frequency of other B cell and T cell subsets was unchanged. These results thus indicate that fasudil can ameliorate disease in NZB/W F1 female mice, suggesting that ROCK inhibition might be broadly effective for the treatment of lupus.