Assessment of thyroid dysfunction in women with menstrual disorders in reproductive age group

Background: Thyroid disorders are among the most common endocrine disorders in the world. Thyroid dysfunction can disrupt a variety of metabolic and physiological processes, including the menstrual cycle. The purpose of this study was to discover a pattern of thyroid dysfunction in women with menstrual disorders. Methods: It is a cross-sectional study that includes 116 women. With reproductive age menstrual disorder. Thyroid dysfunction was tested in women who had menstrual problems. Serum free triiodothyronine (T3), free thyroxine (T4), and thyroid stimulating hormone (TSH) levels were used to assess thyroid function. Results: The mean age of study patients was 25.7±6.8 years. The most common menstrual disorder was irregular cycle 72.5%, amenorrhea 21.9%, and menorrhagia 5.6%. The majority of the patients were between the ages of 15 and 24 (51.1%), followed by 25-34 (36.1%) and 35-45 (12.9%). The mean free T3 and T4 levels were 2.911.05 pg/ml and 1.420.57 ng/dl, respectively. TSH was 2.0 mIU/L on average (IQR, 1.0-4.0). Thyroid dysfunction was observed in 25.8% of the women (n=60). Subclinical hypothyroidism (14.2%, n=33) was the most common thyroid dysfunction, followed by subclinical hyperthyroidism (6.9%, n=16), overt hyperthyroidism (3%, n=7), and overt hypothyroidism (1.7%, n=4). Conclusions: The study reveals that women with menstrual disorders frequently have thyroid dysfunction, particularly subclinical hypothyroidism. In order to rule out thyroid disorders as potential etiological agents for menstrual disturbances, it may therefore be advantageous to screen patients with menstrual disorders for thyroid function

An anatomic variant caudate lobe in a cadaver

The liver can present a number of congenital anomalies. Most common among them are the irregularities in shape and the number of lobules. Less common variations include presence of accessory lobes or accessory fissures. The accessory lobe may be attached to the liver through a mesentery or a bridge of hepatic tissue and they are usually asymptomatic. An accessory liver lobe though a very rare occurrence but when it exists it becomes clinically important because of its rarity. We are reporting one such case of accessory caudate lobe of liver found during routine dissection of embalmed cadaver of a 60 year old male. It was separated from the caudate lobe by a well-defined fissure. The quadrate lobe and fissure for ligamentum teres were totally absent. Ligamentum teres was found embedded in the substance of the liver on its inferior surface. The presence of additional lobes and fissures or the absence of normal lobes and fissures might lead to confusion during surgery or clinical misdiagnosis. Knowledge and awareness of these anomalies is useful to the clinician to rule out diseases, surgeons during segmental resection of liver and radiologist when interpreting liver radiologic findings

High division of sciatic nerve

Background: The Sciatic nerve is the largest and thickest nerve in the human body with a long course in the inferior extremity. It divides into tibial and common peroneal nerves which can occur at any level from the sacral plexus to the inferior part of the popliteal space. Sciatic nerve variations are relatively common. These variations may contribute to clinical conditions ex sciatica, coccygodynia and piriformis syndrome and have important clinical implications in anaesthesiology, neurology, sports medicine and surgery.Methods:10 cadavers were dissected with no previous history of trauma/surgery to study the anatomical variations of sciatic nerve.Results:In all except two cadavers, the nerve divided at the apex of the popliteal fossa. In two cadavers the sciatic nerve divided bilaterally in the upper part of thigh.Conclusion: The high division presented in this study can make popliteal nerve blocks partially ineffective. The high division of sciatic nerve must always be borne in mind as they have important clinical implications

Agro-morphological characterization of lentil germplasm of Indian National Genebank and Development of a core set for efficient utilization in lentil improvement programs

Lentil (Lens culinaris Medik.) is one of the major cool-season pulse crops worldwide. Its increasing demand as a staple pulse has led to the unlocking of diverse germplasm collections conserved in the genebanks to develop its superior varieties. The Indian National Genebank, housed at the Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India, currently has 2,324 accessions comprising 1,796 indigenous and 528 exotic collections. This study was conducted to unveil the potential of lentil germplasm by assessing its agro-morphological characteristics and diversity, identifying trait-specific germplasm, and developing a core set. The complete germplasm set was characterized for two years, i.e., 2017-2018 and 2018-2019, and data were recorded on 26 agro-morphological traits. High phenotypic variability was observed for nine quantitative and 17 qualitative traits. A core set comprising 170 accessions (137 Indian and 33 exotic) was derived based on the characterization data as well as geographical origin using a heuristic method and PowerCore software. This core set was found to be sufficiently diverse and representative of the entire collection based on the comparison made using Shannon-Weaver diversity indices and χ2 test. These results were further validated by summary statistics. The core set displayed high genetic diversity as evident from a higher coefficient of variance in comparison to the entire set for individual traits and overall Shannon-Weaver diversity indices (entire: 1.054; core: 1.361). In addition, the total variation explained by the first three principal components was higher in the core set (70.69%) than in the entire collection (68.03%). Further, the conservation of pairwise correlation values among descriptors in the entire and core set reflected the maintenance of the structure of the whole set. Based on the results, this core set is believed to represent the entire collection, completely. Therefore, it constitutes a potential set of germplasm that can be used in the genetic enhancement of lentils

Assessment of Regional Variability in COVID-19 Outcomes Among Patients With Cancer in the United States.

Importance: The COVID-19 pandemic has had a distinct spatiotemporal pattern in the United States. Patients with cancer are at higher risk of severe complications from COVID-19, but it is not well known whether COVID-19 outcomes in this patient population were associated with geography. Objective: To quantify spatiotemporal variation in COVID-19 outcomes among patients with cancer. Design, Setting, and Participants: This registry-based retrospective cohort study included patients with a historical diagnosis of invasive malignant neoplasm and laboratory-confirmed SARS-CoV-2 infection between March and November 2020. Data were collected from cancer care delivery centers in the United States. Exposures: Patient residence was categorized into 9 US census divisions. Cancer center characteristics included academic or community classification, rural-urban continuum code (RUCC), and social vulnerability index. Main Outcomes and Measures: The primary outcome was 30-day all-cause mortality. The secondary composite outcome consisted of receipt of mechanical ventilation, intensive care unit admission, and all-cause death. Multilevel mixed-effects models estimated associations of center-level and census division-level exposures with outcomes after adjustment for patient-level risk factors and quantified variation in adjusted outcomes across centers, census divisions, and calendar time. Results: Data for 4749 patients (median [IQR] age, 66 [56-76] years; 2439 [51.4%] female individuals, 1079 [22.7%] non-Hispanic Black individuals, and 690 [14.5%] Hispanic individuals) were reported from 83 centers in the Northeast (1564 patients [32.9%]), Midwest (1638 [34.5%]), South (894 [18.8%]), and West (653 [13.8%]). After adjustment for patient characteristics, including month of COVID-19 diagnosis, estimated 30-day mortality rates ranged from 5.2% to 26.6% across centers. Patients from centers located in metropolitan areas with population less than 250 000 (RUCC 3) had lower odds of 30-day mortality compared with patients from centers in metropolitan areas with population at least 1 million (RUCC 1) (adjusted odds ratio [aOR], 0.31; 95% CI, 0.11-0.84). The type of center was not significantly associated with primary or secondary outcomes. There were no statistically significant differences in outcome rates across the 9 census divisions, but adjusted mortality rates significantly improved over time (eg, September to November vs March to May: aOR, 0.32; 95% CI, 0.17-0.58). Conclusions and Relevance: In this registry-based cohort study, significant differences in COVID-19 outcomes across US census divisions were not observed. However, substantial heterogeneity in COVID-19 outcomes across cancer care delivery centers was found. Attention to implementing standardized guidelines for the care of patients with cancer and COVID-19 could improve outcomes for these vulnerable patients

The Potential of Light Microscopic Features of the Oral Mucosa in Predicting Post-mortem Interval

Objectives: The post-mortem interval (PMI) refers to the amount of time elapsed between death and discovery of the body. This study aimed to evaluate light microscopic cellular changes in the oral mucosa and identify the potential of this method for predicting PMI. Methods: This prospective study was conducted between July 2016 and January 2018 at the Institute of Dental Sciences, Siksha ‘O’ Anusandhan University, Bhubaneswar, India. A total of 150 post-mortem (including 75 gingival and 75 buccal mucosa samples) and 40 ante-mortem (including 20 gingival and 20 buccal mucosa samples) tissue samples were compared using haematoxylin and eosin, periodic acid-Schiff (PAS) and van Gieson stains. Microscopic changes in the epithelium and connective tissue were categorised according to PMI stage as early (<12.5 hours since death), intermediate (12.5–20.5 hours since death) or late (>20.5 hours since death). Results: Most epithelial cellular changes occurred early, except for arc-shaped nuclei and epithelial shredding which were intermediate and late changes, respectively. However, microscopic changes in the connective tissue were only observable at ≥12.5 hours. There was a progressive decrease in intensity in van Gieson stains and an increase in intensity in PAS stains as PMI increased. Several microscopic features were found to be significant predictors of PMI including epithelial homogenisation, cytoplasmic vacuolation, nuclear degeneration, arc-shaped nuclei, chromatin clumping, red blood cell clumping and lysis, melanin incontinency, myofibril degeneration, salivary gland acini degeneration and epithelial connective tissue separation (P <0.050 each). Conclusion: These findings indicate that microscopic evaluation of the oral mucosa may be helpful for PMI prediction.   KEYWORDS Post-mortem Changes; Light Microscopy; Oral Mucosa; Epithelial Cells; Lamina Propria; Salivary Glands; Histocytochemistry; Periodic Acid-Schiff Reaction; India

Electrochemical studies on somesynthesised N-sulphonamoylphenyl- 3-aminophenyl- 5-methyl-4-[ 4'(2"-pyrimidinyl)sulphonamoyl]- phenylazopyrazoles

449-452Present note deals with the electrochemical behaviour of N-sulphonamoylphenyl-3-aminophenyl-5methyl- 4 -[4'(2"-pyrimidinyl)sulphonamoyl]-phenylazopyrazoles. All the studies have been carried out in DMF-water admixture using Britton-Robinson buffers of varying pH. A single, well defined, diffusion-controlled reduction wave is obtained which shifted towards more negative potential with increase in the pH. On the basis of number of protons consumed and electron transferred, a plausible mechanism has also been suggested

Impact of BioFire FilmArray Multiplex PCR in the Detection of Microbial Agents causing Severe Acute Respiratory Infection in the COVID-19 Era: A Cross-sectional Study from a Tertiary Care Hospital in Central India

Introduction: Many viral and bacterial respiratory tract infections can present with respiratory signs and progress to complicated pneumonia. In the recent Coronavirus Disease2019 (COVID-19) pandemic, it is crucial to test all Severe Acute Respiratory Infection (SARI) patients for other microbial infections in addition to COVID-19, enabling timely diagnosis and treatment to reduce morbidity and mortality. The automated system, BioFire FilmArray, utilises multiplex Polymerase Chain Reaction (PCR) to rapidly detect and identify multiple respiratory pathogens, including selected Antimicrobial Resistance (AMR) genes, within an hour. Aim: To detect bacterial and/or viral pathogens associated with hospitalised COVID-19-negative SARI patients using the BioFire FilmArray Pneumonia Panel (BFPP). Materials and Methods: This laboratory-based cross-sectional study was conducted at All India Institute of Medical Sciences (AIIMS), Nagpur, Maharashtra, India, from June 2020 to February 2021. Respiratory samples, such as sputum, tracheal aspirate, Endotracheal (ET) secretions, and Bronchoalveolar Lavage (BAL), were collected from COVID-19-negative hospitalised SARI cases. A total of 81 patients were included in the study. The samples were tested using the BFPP (multiplex PCR) system and processed using conventional culture techniques. Patient characteristics, clinical and laboratory investigation data, and findings of respiratory viral and bacterial agents, as well as antibiotic resistance genes detected by BioFire FilmArray, were recorded using paper case reports. The data were collected and analysed using Statistical Package for Social Sciences (SPSS) software. Results: Out of the 81 clinical samples processed, the BFPP detected 168 bacterial and 18 viral pathogens. Bacterial-viral codetection was observed in 13 (16%) samples. Atypical bacteria were detected in 3% of cases. Among the bacterial pathogens, the AMR gene for New Delhi Metallo-beta-lactamases (NDM) was detected in 42 (25.9%) cases, followed by CTX-M betalactamases, VIM, and the oxacillinase group of β-lactamases. Conclusion: The BFPP test is a valuable tool for the rapid detection of a wide range of pathogens, including associated AMR genes, with high sensitivity and specificity. This can greatly aid in treatment decisions