Evaluation of Uric Acid to Albumin Ratio as a Marker of Coronary Artery Disease Severity in Acute Coronary Syndrome: A Cross-Sectional Study.

BACKGROUND: Coronary artery disease (CAD) is a widespread cause of morbidity and mortality. Serum uric acid, a mediator of endothelial dysfunction and inflammation in vascular disease, can increase the risk of atherosclerosis, contributing to CAD. As serum albumin inhibits platelet activation and aggregation, low levels of it can contribute to platelet-induced coronary artery stenosis. Limited studies have been conducted worldwide in evaluating the role of uric acid to albumin ratio (UAR) in predicting severity or poor outcomes in acute coronary syndrome (ACS) patients. This study was undertaken to assess the role of UAR as a predictor of CAD severity, which can facilitate the identification of high-risk patients. METHODOLOGY: A hospital-based analytical cross-sectional study was conducted in an urban tertiary healthcare center for a period of two months between June and August of 2022. A total of 100 ACS patients were included in the study. The study population included patients above the age of 18 years diagnosed with ACS who underwent a coronary angiography. Coronary angiograms were used to diagnose the presence of CAD, and its severity was assessed using Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) scores (SS). The correlation of UAR with CAD severity using SS was studied and compared between three varieties of ACS: ST-elevation myocardial infarction (STEMI), non-ST-elevation myocardial infarction (NSTEMI), and unstable angina (UA). STATISTICS: Chi-squared tests were used to determine statistical significance for qualitative data. Independent t-tests were used to identify the mean difference between two quantitative variables. Receiver operating characteristic (ROC) curves were constructed for UAR and high SS. A comparison between UAR and neutrophil to lymphocyte ratio (NLR) as a predictor of disease severity was done. ROC and optimal cutoff points were chosen to calculate sensitivity, specificity, and positive and negative predictive values. Microsoft Excel (Microsoft, Redmond, WA, USA) and SPSS V22.0 (IBM Corp., Armonk, NY, USA) were used to analyze the data. RESULTS: A total of 100 ACS patients were included in the study and divided into two groups on the basis of SS, with 74% showing low severity and 26% showing intermediate-high severity. There was a statistically significant difference found between older age and SS (p=0.017). Our study showed 74% (n=74) of the patients were male and 26% (n=26) were female. It also revealed that 75.7% (n=56) of the male patients were in the low-severity group, and 24.3% (n=18) of males were in the intermediate-high severity group. 69.2% (n=18) of the female patients were in the low-severity group, and 30.8% (n=8) were in the intermediate-high severity group. Of the 100 patients, 55% were diagnosed with STEMI, of which 69.1% were in the low-severity group, and 30.9% were in the intermediate-high severity group. Among all the patients 33% of the patients were diagnosed as NSTEMI, of which 72.7% were in the low-severity group, and 27.3% were in the intermediate-high severity group. Twelve percent of the patients were diagnosed with UA, and 100% of these patients were in the low-severity group. The mean UAR was 1.40 ± 0.38 in the low-severity group and 1.29 ± 0.46 in the intermediate-high severity group (p=0.22). CONCLUSION: Our study yielded no statistically significant difference in UAR among varying severities of CAD.

Neuromyelitis optica spectrum disorder with AQP4-IgG presenting as area postrema syndrome and progressing to myelitis: A rare case report.

Key Clinical Message: Neuromyelitis optica spectrum disorders can less commonly present with area postrema syndrome progressing to myelitis. Management involves intravenous glucocorticoids, plasma exchange, and preventive immunotherapy. Abstract: Neuromyelitis optica spectrum disorders can less commonly present with area postrema syndrome progressing to myelitis. The majority of patients have positive AQP4-Ab. Diagnosis is based on clinical and imaging findings. These patients can be treated with intravenous glucocorticoids, plasma exchange, and preventive immunotherapy.

Study of early warning efficiency of different laboratory markers in predicting progression of disease in COVID-19.

Introduction: COVID 19 pandemic has given rise to several challenges to clinicians and one of the keys in this is to predict the set of patients who progress from mild disease to moderate and severe. Apart from the symptomatology and signs, there are several lab parameters varying from biochemical, hematological to radiological parameters which help us in stratifying the stage of disease and also in deciding on which set of patients need close and vigilant monitoring. This would help us in better stratification of disease and utilize the available infrastructure and resources in an optimum way for better management of the disease. Aim: To analyze the early warning efficiency of laboratory parameters individually or in combination in predicting the progress of disease in patients from mild to moderate/severe disease. Materials and Methods: This was taken up as a retrospective study with 100 cases and 100 controls. The demographic details, inflammatory markers, biochemical markers and hematological markers were analyzed. Test of significance was employed to compare categorical variables while student t-test was employed to test the difference in the mean value such as age between case and control (Mann-Whitney U-test in parameters not having normal distribution). Receiver operating characteristic (ROC) curve was constructed for these parameters using cases and controls and area under the curve (AUC) were estimated which was used as an indicator of sensitivity and specificity of the parameter in their early warning efficiency. The critical values for each of the parameters either individually or in combination was estimated as well. Results: Among the parameters C reactive protein (CRP), d-dimers and eosinopenia have the best early warning efficiency. The area under the ROCs curve for neutrophil lymphocyte ratio (NLR), CRP. Ferritin, lactate dehydrogenase, Eosinopenia was 0.609, 0.947, 0.614, 0.554, 0.617 respectively at triage. However, a combination of eosinopenia with CRP (AUC-0.732) or NLR with CRP (AUC-0.728) have a good sensitivity and specificity in predicting the outcome regarding the progression of the disease. Conclusions: Among the parameters, CRP, d-dimers, Eosinopenia and NLR have the best early warning efficiency. However, a combination of Eosinopenia and CRP at triage should also serve as a red flag sign in patients apart from the well-known NLR and IL6 values.

Résumé Introduction: La pandémie covide 19 a relevé plusieurs défis aux cliniciens et l'une des clés dans ce domaine est de prédire l'ensemble des patients qui passent d'une maladie légère à modérée et sévère. Outre la symptomatologie et les signes, plusieurs paramètres de laboratoire variant des paramètres biochimiques, hématologiques à radiologiques qui nous aident à stratifier le stade de la maladie et également à décider quel ensemble de patients nécessite une surveillance étroite et vigilante. Cela nous aiderait à mieux stratification des maladies et à utiliser l'infrastructure et les ressources disponibles de manière optimale pour une meilleure prise en charge de la maladie. Objectif: Analyser l'efficacité d'alerte précoce des paramètres de laboratoire individuellement ou en combinaison pour prédire les progrès des maladies chez les patients d'une maladie légère à modérée / sévère. Matériaux et méthodes: Ceci a été considéré comme une étude rétrospective avec 100 cas et 100 contrôles. Les détails démographiques, les marqueurs inflammatoires, les marqueurs biochimiques et les marqueurs hématologiques ont été analysés. Le test de signification a été utilisé pour comparer les variables catégorielles tandis que le test T des étudiants a été utilisé pour tester la différence de valeur moyenne telle que l'âge entre le cas et le contrôle (test U Mann - Whitney dans les paramètres n'ayant pas de distribution normale). La courbe des caractéristiques de fonctionnement du récepteur (ROC) a été construite pour ces paramètres en utilisant les cas et les contrôles et la zone sous la courbe (AUC) ont été estimés qui ont été utilisés comme indicateur de sensibilité et de spécificité du paramètre dans leur efficacité d'alerte précoce. Les valeurs critiques pour chacun des paramètres individuellement ou en combinaison ont également été estimées. Résultats: Parmi les paramètres C Protein réactif (CRP), les D - dimères et l'éosinopénie ont la meilleure efficacité d'alerte précoce. La zone sous la courbe ROCS pour le rapport lymphocyte des neutrophiles (NLR), CRP. La ferritine, la lactate déshydrogénase, l'éosinopénie était de 0,609, 0,947, 0,614, 0,554, 0,617 respectivement au triage. Cependant, une combinaison d'éosinopénie avec CRP (AUC - 0,732) ou NLR avec CRP (AUC - 0,728) a une bonne sensibilité et spécificité pour prédire le résultat concernant la progression de la maladie. Conclusions: Parmi les paramètres, le CRP, les D - dimères, l'éosinopénie et le NLR ont la meilleure efficacité d'alerte précoce. Cependant, une combinaison d'éosinopénie et de CRP au triage devrait également servir de signe du drapeau rouge chez les patients en dehors des valeurs NLR et IL6 bien connues. Mots-clés: C Protéine réactive, efficacité d'alerte précoce, éosinopénie, progression de la maladie dans Covid ­ 19.

Platelet Indices and Platelet to Lymphocyte Ratio (PLR) as Markers for Predicting COVID-19 Infection Severity.

Background Novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (or coronavirus disease 2019; COVID-19) has caused a large number of infections across the globe. Numerous markers are being used to predict the severity of infection. This study was undertaken to assess the utility of platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and platelet lymphocyte ratio (PLR) as markers of severity and mortality among patients with COVID-19 infection. Methodology This is a retrospective study conducted in a tertiary care center in India from April 2021 to June 2021. Patients admitted with COVID-19 infection were included in the study. Based on the severity, patients were categorized into the mild and severe (moderate severity included) groups. Platelet count, MPV, PDW, and PLR done at admission were studied and correlated with the disease severity and mortality. Statistics The independent t-test was used to compare the variables. The receiver operating characteristic (ROC) curve was done to identify the cut-off value. Statistical analysis was performed using SPSS 18 software (SPSS Inc. Released 2009. PASW Statistics for Windows, Version 18.0. Chicago: SPSS Inc). Results One hundred patients admitted with COVID-19 infection were studied. 51 patients had a mild and 49 had a severe infection. The mean PLR was 141.40 among patients with mild illness and 252.6 with severe infection (P<0.001). The mean PLR among survivors was 104.4 (SD-23.56) and among nonsurvivors was 302.78 (SD-34.5) (P<0.001). There was no statistically significant difference between the two groups with respect to platelet count, MPV, and PDW. Conclusion PLR was found to be a reliable marker of severity and mortality among patients with COVID-19 illness.

Glucodynamics and glucocracy in type 2 diabetes mellitus: clinical evidence and practice-based opinion on modern sulfonylurea use, from an International Expert Group (South Asia, Middle East & Africa) via modified Delphi method.

Type 2 diabetes mellitus (T2DM) is a global epidemic. According to international guidelines, the management protocol of T2DM includes lowering of blood glucose, along with preventing disease-related complications and maintaining optimal quality of life. Further, the guidelines recommend the use of a patient-centric approaches for the management of T2DM; however, Asian population is underrepresented in landmark cardiovascular outcome trials (CVOTs). There are several guidelines available today for the diagnosis and management of T2DM, and hence there is much confusion among practitioners about which guidelines to follow. A group of thirty international clinical experts comprising of endocrinologists, diabetologists and cardiologist from South Asia, Middle East and Africa met at New Delhi, India on February 8 and 9, 2020 and developed an international expert opinion statements via a structured modified Delphi method on the glucodynamic properties of OADs and the glucocratic treatment approach for the management of T2DM. In this modified Delphi consensus report, we document the glucodynamic properties of Modern SUs in terms of glucoconfidence, glucosafety, and gluconomics. According to glucodynamics theory, an ideal antidiabetic drug should be efficacious, safe, and affordable. Modern SUs as a class of OADs that have demonstrated optimal glucodynamics in terms of glucoconfidence, glucosafety, and gluconomics. Hence, modern SUs are most suitable second line drug after metformin for developing countries. Based on the current evidence, we recommend a glucocratic approach for the treatment of T2DM, where an individualized treatment plan with phenotype, lifestyle, environmental, social, and cultural factors should be considered for persons with T2DM in the South Asian, Middle Eastern and African regions.

Ficoll-400 density gradient method as an effective sperm preparation technique for assisted reproductive techniques.

BACKGROUND: Infertility being a burning issue, the male itself contributes about 40% as a cause, as evident by statistical data. However, Assisted Reproductive Technology (ART) has emerged as a powerful tool in the management of infertility. Sperm preparation techniques govern the selection procedure to separate functional spermatozoa which can then be used in IUI, IVF, and ART and for cryopreservation. AIM: The present study was aimed at evaluation of sperm preparation techniques for reliability, performance and to determine the most effective, feasible and economical technique. MATERIALS AND METHODS: The subjects under study includes males with normal proven fertility (n=40) and the males with unexplained infertility (n=40). Four sperm separation techniques, viz., Swim-up, Swim-down, Sucrose and Ficoll-400 density gradient techniques were evaluated for their efficacy in separation of good quality fraction of spermatozoa. Sperm viability, morphology and maturation status of spermatozoa were taken as evaluation parameters following the standard methods (WHO 2010). STATISTICAL ANALYSIS: Data was analyzed using student's t-test and the four selected techniques were compared with the normal semen samples for scoring the efficiency of the techniques. RESULTS AND DISCUSSION: Out of the several techniques used, Ficoll-400 was found to be more efficient method for separation of spermatozoa. The percentage of change in each parameter was calculated and taken as the index for recovery of potent sperm from the original sperm. Ficoll-400 density gradient yielded higher percentage of live, mature, morphologically normal spermatozoa in an isolated fraction as compared to other three techniques. CONCLUSION: It was observed that a combination of Ficoll-400 gradient separation with Swim-up technique could give quality spermatozoa which in-turn would directly have an impact on the success of IVF and other ART techniques.