Visceral Adiposity Index as an Indicator for Menstrual Disturbance, Hormonal and Metabolic Dysfunction in Polycystic Ovarian Syndrome.

BACKGROUND: Increase in visceral adiposity is characteristic of polycystic ovarian syndrome (PCOS) and is the main cause of insulin resistance and hyperandrogenism. This study tried to compare the visceral adiposity index (VAI) in PCOS women and control population, thereby exploring its correlation with ovarian morphology, hormonal and metabolic dysfunction. MATERIALS AND METHODS: Reproductive-age women who fulfilled the Rotterdam criteria for PCOS constituted the cases. Control population consisted of the same number of non-PCOS women. History of menstrual irregularity and features of hyperandrogenism were noted. Overnight fasting serum hormonal profile on second day of the cycle, oral glucose tolerance test (OGTT) and serum fasting insulin and lipid profile were obtained. Ultrasound evaluation was done simultaneously. Free androgen index (FAI), homeostatic model assessment of insulin resistance (HOMA-IR) and VAI were calculated. RESULTS: Serum androgen levels and OGTT were greater in PCOS women. No significant difference was noted in serum fasting glucose, fasting insulin and lipid profile between cases and controls. Both systolic and diastolic blood pressures were significantly higher among women with PCOS. Mean ovarian volume, antral follicle count, FAI and HOMA-IR were higher in PCOS women. VAI was significantly higher in cases compared to controls. VAI demonstrated a strong negative correlation with number of menstrual cycles per year. Increasing VAI was associated with longer menstrual cycles and correlated positively with greater severity of anovulation. VAI also showed highly significant correlation with fasting blood glucose and statistically significant moderately strong positive correlation with OGTT values at two hours post glucose challenge, systolic blood pressure and mean ovarian volume. There was no demonstrable correlation between androgen levels or HOMA-IR values. CONCLUSION: VAI is higher in women with PCOS. It correlates positively with features of disease severity and ovarian morphology. An assessment of VAI in PCOS women could be predictive of a greater propensity for development of classical metabolic risk factors.

COVID-19 Associated Coagulopathy in an Indian Scenario: A Correlation with Disease Severity and Survival Status.

Covid-19 pandemic reveals that the virus causes Covid-19 associated coagulopathy and it is well known that thrombotic risk is associated with ethnicity. To describe the Covid-19 associated coagulopathy in Indian population and to correlate it with the disease severity and survivor status. A cross sectional descriptive study of 391 confirmed Covid-19 cases was carried out over a period of 1.5 months. Patients were categorised as mild to moderate, severe and very severe and also labelled as survivors and non survivors. Prothrombin time (PT), International normalised ratio (INR), activated partial thromboplastin time, D dimer, Fibrin degradation products (FDP), fibrinogen and thrombin time and platelet counts were investigated among the subgroups. Mean age was higher in patients with severe disease (57.62 ± 13.08) and among the non survivors (56.54 ± 12.78). Statistically significant differences in D dimer, FDP, PT, INR and age were seen among the 3 subgroups and survivors. Strong significant positive correlation was noted between D dimer and FDP (r = 0.838, p < .001), PT and INR (r = 0.986, p < 0.001). D dimer was the best single coagulation parameter as per the area under curve (AUC: 0.762, p < 0.001) and D dimer + FDP was the best combination parameter (AUC: 0.764, p = 0) to differentiate mild moderate from severe disease. Raised levels of D dimer, FDP, PT, PT INR and higher age correlated positively with disease severity and mortality in Indian Population.

Association of Hematologic biomarkers and their combinations with disease severity and mortality in COVID-19- an Indian perspective.

BACKGROUND: COVID-19 is a systemic viral infection with a significant impact on the hematopoietic system, hemostasis as well as immune system. It would be of utmost importance to explore if the most routinely used tests could serve as an aid in determining patient's clinical status or predicting severity of the disease. METHODS: A prospective cross-sectional study was conducted on 506 Covid-19 positive patients and 200 controls over a period of two months (June and July 2020). The cases were sub-classified based on disease severity into mild to moderate (n=337), severe (n=118) and very severe (n=51) and based on survivor status into survivors (n=473) and non-survivors (n=33). RESULTS: There were statistically significant differences in WBC count, Absolute neutrophil count (ANC), Absolute lymphocyte count (ALC), absolute monocyte count (AMC), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR) Red blood cell distribution width (RDW-SD) and RDW CV between covid cases vs controls; among the clinical subgroups and among the survivors and non-survivors. There was a significant strong positive correlation between various parameters, that is, NLR and MLR (r: 0.852, P=0), MPV and PDW (r: 0.912, P=0), MPV and PLCR (r: 0.956, P=0), PDW and PLCR (r: 0.893, P=0). NLR (AUC: 0.676, P=0) was the best single parameter and NLR+RDW-CV was best combination parameter as per area under curve (0.871) of ROC to distinguish severe from mild to moderate disease. CONCLUSIONS: Leucocytosis, neutrophilia, lymphopenia and monocytosis were characteristic findings in covid cases while NLR and NLR+RDW-CV emerged as the most effective single and combination CBC parameters in distinguishing mild to moderate and severe cases respectively.

An analysis of hematological, coagulation and biochemical markers in COVID-19 disease and their association with clinical severity and mortality: an Indian outlook.

BACKGROUND: The "cytokine storm" (CS) in COVID-19 leads to the worst stage of illness which can be controlled only with timely intervention. There is an urgent need to identify laboratory markers of disease progression for optimum allocation of resources in developing countries like India. METHODS: A cross-sectional study was conducted on 100 COVID-19 positive patients over two months. The cases were sub-classified based on disease severity into mild to moderate (n=61), severe (n=26) and very severe (n=13) and into survivors (n=85) and non-survivors (n=15) based on survivor status. These patients were tested for hematological parameters (total blood lymphocyte counts, NLR, PLR, platelet indices etc.), coagulation markers (D-dimer, fibrin degradation products (FDP), fibrinogen etc.) and biochemical markers (LDH, ferritin, IL-6, procalcitonin, hs-CRP). RESULTS: Statistically significant differences were observed in hematological variables (ANC, NLR and ESR), coagulation parameters (D-dimer, FDP, fibrinogen and thrombin time) and biochemical markers (LDH, ferritin, IL-6, procalcitonin and hs-CRP) with regard to subcategories based of disease severity as well as survivor status. There was strong correlation between NLR, D-dimer, IL-6, procalcitonin and ferritin. IL-6 emerged as the single best marker of disease severity (AUC: 0.997, P=0.00), however procalcitonin, LDH, D-dimer, FDP and NLR could also predict severe disease with a good sensitivity and specificity. CONCLUSION: To conclude, study demonstrates a plethora of biomarkers which could be utilized to accurately identify the hyperinflammation and tissue damage reminiscent of cytokine storm in COVID-19 patients so that timely, safe, and effective therapies can be administered to prevent progression and potentially reduce mortality.

Effect of BMI and urinary pH on urolithiasis and its composition.

Urolithiasis is a common urological disease predominantly affecting males. The lifetime risk of urolithiasis varies from 1% to 5% in Asia, 5% to 9% in Europe, 10% to 15% in the USA and 20% to 25% in the middle-east; lowest prevalence is reported from Greenland and Japan. Such differences have been explained on the basis of race, diet and climate factors. Furthermore, changing socio-economic conditions have generated changes in the prevalence, incidence and distribution for age, sex and type of lithiasis in terms of both the site and the chemical as well as the physical composition of the calculi. The aim of our study was to determine the association between body mass index (BMI) and urine pH in patients with urolithiasis and the influence of body size, as reflected by the BMI, on the composition. The study was conducted in the Department of Biochemistry, Maharishi Markandeshwar Institute of Medical Sciences and Research, on urolithiatic patients. The data included patient's age, sex, BMI, urine pH, serum calcium, serum uric acid, serum creatinine and stone composition. Data from 100 patients, 70 men (70%) and 30 women (30%), were analyzed, with 28 patients having normal weight, 38 patients being overweight and 34 patients being obese. The mean age of the patients was 36.58 ± 9.91 years in group I, 40.47 ± 14.48 years in group II and 37.85 ± 12.46 years in group III (P > 0.05). The stone composition was calcium oxalate (CaOx) in 66 patients, calcium phosphate (CaP) in 60 patients, uric acid (UA) in 38 patients, combined calcium oxalate and calcium phosphate in 28 patients and three stones in 10 patients. The urinary pH levels (mean ± SD) were 7.78 ± 1.49 in group I, 7.15 ± 1.11 in group II and 6.29 ± 1.14 in group III patients (P = 0.0001). Urine pH showed a stepwise decrease with increasing BMI (inverse correlation). Urine pH is inversely related to BMI among patients with urolithiasis, as is the occurrence of urate, calcium oxalate and calcium phosphate stones. Similarly, the serum creatinine increased as the BMI and number of stones increased among the study population.