Evaluation of thyroid disorders in abnormal uterine bleeding

Background: Abnormal uterine bleeding (AUB) is a common clinical presentation in gynecology. Alteration in thyroid hormones level has been associated with menstrual disturbances. This study is aimed to know the prevalence of thyroid disorders amongst AUB patients and also the different patterns of menstrual abnormalities associated with thyroid disorders.Methods: 100 Patient of clinically diagnosed AUB were taken from gynecology OPD at RNT Medical College Udaipur from October 2019 to March 2019. All the patients from 19 to 45 age groups presenting with menstrual disturbances were tested for thyroid function by measuring ST3, ST4, and S.TSH. Statistical analysis done by percentage formula.Results: Out of 100 women of AUB, majority were in the age group of 31-40 years (38%). 44% presented with menorrhagia. 65% were euthyroid, 17% had subclinical hypothyroidism, 15% had overt hypothyroidism and 3% were diagnosed as hyperthyroid. Subclinical hypothyroidism, overt hypothyroidism and hyperthyroidism were detected mostly in the age group of 31-40 years. The commonest bleeding abnormalities in hypothyroid patient were oligomenorrhoea while most of the hyperthyroid cases were having menorrhagia.Conclusions: The study concludes that biochemical evaluation of thyroid function is an easy, reliable method and should be made mandatory in all cases of AUB

The relationship between pregnancy weight gain and birth weight of new born

Background: Maternal weight gain is one of the most important independent predictors of infant birth weight.  It is stated that under nutrition during pregnancy and low birth weight increase the risk for diabetes and cardiovascular disease in adulthood. Normal weight gain of pregnancy 11kg weight gain should be according to pre-pregnancy BMI.  Patients with BMI > 25 should gain weight of 7kg patient with normal BMI should gain 11kg weights.Methods: This is a hospital based prospective study and was conducted in the Department of Obstetrics and Gynaecology, RNT Medical college Udaipur from November 2018 to March 2019  to find association between maternal weight gain and birth weight. Exclusion criteria included congenital malformations, multiple pregnancy, polyhydraminos, preeclampsia, diabetes, cardiovascular, kidney disease, RH negative pregnancy. Results were calculated by percentage.Results: excessive weight gain during pregnancy increases baby weight. Out of total 100 cases, 88 (88%) cases are Hindus and 12 (12%) cases are Muslims. Out of total 100 cases 72 cases (72%) belong to urban, 28 (28%) belong to Rural area. Out of 100 patients 32 patients gain weight less than 11kg among which 16 newborn have weight less than 2.5kg, 68 patients have weight gain more than 11kg and 67 have baby weight more than 2.5kg.Conclusions: Excessive maternal weight gain during pregnancy increases birth weight. In view of the apparent association between high birth weight and adult adiposity, an advantageous time to initiate obesity prevention efforts may be during pregnancy

Fast algorithms for rank-1 bimatrix games

The rank of a bimatrix game is the matrix rank of the sum of the two payoff matrices. This paper comprehensively analyzes games of rank one, and shows the following: (1) For a game of rank r, the set of its Nash equilibria is the intersection of a generically one-dimensional set of equilibria of parameterized games of rank r − 1 with a hyperplane. (2) One equilibrium of a rank-1 game can be found in polynomial time. (3) All equilibria of a rank-1 game can be found by following a piecewise linear path. In contrast, such a path-following method finds only one equilibrium of a bimatrix game. (4) The number of equilibria of a rank-1 game may be exponential. (5) There is a homeomorphism between the space of bimatrix games and their equilibrium correspondence that preserves rank. It is a variation of the homeomorphism used for the concept of strategic stability of an equilibrium component

Developing an environmental friendly approach for enhancing water retention with the amendment of water-absorbing polymer and fertilizers

The effect of climate/environmental change has resulted in adverse water stress conditions which necessitates the sustainable approaches for improving the water use efficiency to boost agricultural production in Central Asia. Water-absorbing polymer (WAP) has emerged as one of the amendments for soil water stress management. WAP are chemically cross-linked structure capable of absorbing and storing a large amount of water. The agricultural land has different levels of fertilizers which can influence the performance of WAP because of its sensitivity due to external ionic medium. Therefore, the combined or hybrid use of WAP and organic/ inorganic fertilizers may inhibit the functionality of WAP, which needs to be thoroughly investigated. This study demonstrates the performance of two different WAPs (a commercially WAP (crosslinked potassium polyacrylate) and a laboratory synthesized WAP (crosslinked fly ash-polyacrylate superabsorbent composite)) with varying combinations of fertilizers in silt loam (agrarian soil). The combined use of fertilizers and WAP have improved the water retention properties of soils due to modification in the soil pore volume for both the WAPs. Quantification from water retention properties revealed a significant increase in plant wilting time (PWT) and plant available water content (PAWC) under the combined influence of fertilizers and WAP amended soils, indicating the possibility of high-water availability to plant roots. The study suggests the potential of WAPs as an efficient soil conditioner even in the presence of fertilizer for countering the negative impacts of water stress conditions. WAPs might minimize the requirement for chemical fertilizers, which helps to enhance the climate/environmental change and agriculture sector in the Central Asian region

Effect of plasma glucose at admission on COVID-19 mortality: experience from a tertiary hospital

Objective: Plasma glucose has been correlated with in-hospital mortality among many diseases including infections. We aimed to study the plasma glucose at the admission of hospitalized patients with COVID-19 at a tertiary care referral hospital at Jodhpur, India and its relation with mortality. Design: A hospital-based clinical study of plasma glucose of COVID-19 patients conducted from May 15 to June 30, 2020 after ethical approval. Measurements: Random blood samples at admission were collected for plasma glucose, interleukin-6 (IL6) and high sensitivity C-reactive protein (hsCRP) after written informed consent was obtained. Plasma glucose was analyzed by the automated analyzer, IL6 by chemiluminescent immunoassay and hsCRP by immune-turbidimetric assay. Results: A total of 386 patients were studied (female 39.6%); 11.1% had severe disease and 4.1% expired. There were 67 (17.4%) patients with known diabetes mellitus (DM). Patients with a history of DM had three times higher mortality (6/67, 9%) than those without DM (10/309, 3.1%). Patients with moderate and severe disease according to ICMR and WHO grading had higher plasma glucose than those with asymptomatic or mild disease (P 100–200, >200–300 and >300 mg/dL, respectively, compared to those with random plasma glucose of <100 mg/dL at admission. Plasma glucose was strongly correlated with hsCRP (P < 0.001) and IL6 (P < 0.0001). Conclusions: Plasma glucose at admission in hospitalized COVID-19 patients is a strong predictor of mortality

A Novel computer assisted genomic test method to detect breast cancer in reduced cost and time using ensemble technique

Breast cancer is the leading cause of death among women around the world. It is a primary malignancy for which genetic markers have revealed the ability for clinical decision making. It is a genetic disease that generates due to gene mutations, but the cost of a genetic test is relatively high for a number of patients in developing nations like India. The results of a genetic test can take a few weeks to determine cancer. This time duration influences the prognosis of genes since certain patients suffer from a high rate of malignant cell proliferation. Therefore, a computer-assisted genetic test method (CAGT) is proposed to detect breast cancer. This test method will predict the gene expressions and convert these expressions in the state of mutation (under-expression (-1), transition (0) overexpression (1)) and afterwards perform the classification to get the benign and malignant class in reduced time and cost. In the research work, machine learning techniques are applied to identify the most responsive genes of breast cancer on the premises of the clinical report of a patient and generated a CAGT. In the research work, the hard voting ensemble approach is applied to detect breast cancer on the basis of most responsive genes by CAGT which leads to improving 3.5% accuracy in cancer classification

A Comparative Study of Architecture and Quality of Sleep among Juvenile Myoclonic Epilepsy Patients and Healthy Individuals Attending Tertiary Care Hospital in Central India

Background and Objective: Primary sleep disorders are common in patients with epilepsy. Seizures, epileptiform discharges, and antiepileptic drugs alter the sleep architecture of patients with juvenile myoclonic epilepsy (JME). We evaluated sleep architecture and its quality in these patients. Materials and Methods: Thirty patients with JME (11 men and 19 women with mean age of 21.10 ± 4.55 years) and 30 healthy controls underwent overnight polysomnography (PSG). Sleep quality and daytime sleepiness were assessed using Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS), respectively. Results: Myoclonus and generalized tonic-clonic seizures (GTCS) were present in all patients with JME, while absence seizures were in 13.3%. Sleep deprivation was the most frequent precipitating factor for seizures (56.6%) followed by fatigue, sound, and photic stimulation. Patients with JME reported a statistically significant drop in sleep efficiency (P<0.001) with prolonged sleep onset latency (P<0.001). There was prolongation in the N1 stage of non-rapid eye movement (NREM) sleep (P=0.002), and reduction in the N2 stage of NREM (P<0.001) and rapid eye movement (REM) sleep (P<0.001). The median PSQI score was higher in patients with JME, suggesting poor sleep quality (P<0.001), and the daytime sleepiness was not different as indicated by the similar median ESS score (P=0.033). Conclusion: Our results suggest a significant alteration in the sleep architecture of patients with JME with reduced sleep efficiency and poor sleep quality. The possible role of the disease itself is suggested for these alterations as a simi-lar trend was also observed in drug naïve patients

Growth dynamics of deciduous species during their life period: A case study of urban green space in India

It is evident that grass density (GD) and shoot growth rate (SGR) governs the differential settlement of substructure, groundwater recharge, and stability of green infrastructure. GD and SGR are usually assumed to be constant during the entire life period of vegetation. However, spatial and temporal dynamics of GD and SGR in urban green space were rarely explored previously. The main objective of this study is to explore the spatial and temporal dynamics of GD and SGR in urban space vegetated with deciduous species (mix grass i.e., Poaceae and Bauhinia purpurea). Field monitoring was conducted in the urban green space for one year (i.e., life period of selected species). The monitoring period includes the growth period and gradual wilting period. Substantial spatial variation of GD was found during the first six months. GD away from the tree trunk was found to be 1.02–56.3 times higher than that near the tree trunk during the first six months. Thereafter, any spatial variation of GD was not found in the next six months. Unlike the GD, SGR was found to vary during the entire life period of mix grass. In addition, SGR away from the tree trunk was found to be 1.1–4.6 times higher than that near the tree trunk. Any relationship between GD and rainfall depth was not found. Whereas, SGR mainly depends on rainfall depth. The hypothesis of uniformity in GD and SGR during the life period of deciduous species was not found to be true