Objectives The cut off values for serum high sensitivity C-reactive protein (hsCRP), ferritin, interleukin 6 (IL-6) and plasma D-dimer could be of profound help in detecting COVID-19 patients at risk of adverse outcomes. Therefore, the aim of the present study is to determine the cut off values of the serum hsCRP, ferritin, IL-6 and plasma D-dimer in predicting mortality in COVID-19 patients. Methods Four hundred RT-PCR confirmed cases of COVID-19 were sub divided into two groups based on their outcome during hospitalisation. Group I consisted of survivors and Group II consisted of non-survivors. The survivors were further divided into three sub-groups: mild, moderate and severe based on the severity of infection. The laboratory data of serum hsCRP, ferritin, IL-6 and plasma D-dimer for all these patients was retrieved from the Medical Record Section of the Hospital. Results Mean serum hsCRP, ferritin, IL-6 and plasma D-dimer levels were significantly higher in non-survivors as compared to survivors of COVID-19. The levels of these biomarkers correlated with the severity of COVID-19 illness. ROC curve analysis revealed that plasma D-dimer is having a better predictive value as compared to other parameters in predicting mortality in COVID-19. Conclusions The serum hsCRP, ferritin, IL-6 and plasma D-dimer levels could be used in risk stratification of COVID-19 patients. The optimum cut off given by the current study could be considered in predicting adverse outcome in these patients. Amongst the many studied biomarkers, plasma D-dimer might be the best early biomarker to predict mortality in COVID-19 patients.

Background: The association of primary brain tumors with Single Nucleotide polymorphisms (SNPs) in genes of folate metabolising enzymes have been reported to vary among different ethnic population. Here, we have studied the association of SNPs of folate metabolizing genes with the primary brain tumors (glioma and meningioma) in North Indian population. Methods: SNPs of genes coding for folate metabolizing enzymes was carried out in 288 study population from North India [Glioma (n=108), Meningioma (n=76) and healthy-control (n=104)]. The allele-specific polymerase chain reaction (ARMS-PCR) was used to analyse the SNP A1298C of the MTHFR (Methylenetetrahydrofolate-reductase) and the SNP A66G of the methionine synthase reductase (MTRR) genes. The PCR-RLFP (Restriction Fragment Length Polymorphism) was used to analyse the SNP C677T of the Methylene tetrahydrofolate-reductase and the SNP A2756G of the methionine-synthase (MTR) genes. Serum homocysteine, vitamin B 12 and folate levels were evaluated in controls/patients serum using Chemiluminescence immunoassay and the levels were correlated with SNPs genotype. Results: The CC genotype of MTHFR A1298C was observed to have reduced risk of having meningioma than AA genotype (odd ratio=0.62, 95%CI 0.32-0.97, p=0.03). Similarly, the AG genotype of MTRR A66G showed reduced risk of glioma than AA genotype (odd ratio=0.56, 95%CI 0.32-0.97, p=0.039). Furthermore, in patients with AA genotype of MTR A2756G and CT genotype of MTHFR C677T showed higher serum homocysteine level than GG genotype (8.6 µmol/L, p=0.048) and CC genotype (11.2µmol/L, p=0.039) respectively. Conclusion: Our findings provide an insight into the risk association of SNPs in MTHFR A1298C and MTRR A66G genes with glioma/meningioma patients. Further studies are needed to evaluate their clinical implications.

The world has been coping up with the grave pandemic of COVID-19 since its inception into the human race in December, 2019. By entering the host through the spike (S) glycoprotein, it paves way for its own survival and multiplication. Respiratory tract being the point of entry causes pulmonary compromise and leads to development of ARDS. Having non-specific clinical features that resemble flu makes the clinical diagnosis much more difficult. Pregnancy being an immunocompromised and a hypercoagulable state is prone to be a high-risk group for COVID-19. This study is an attempt to understand the maternal and fetal outcomes in COVID-19 and the vertical transmissibility of the virus. Evidence suggests that the contribution of COVID-19 is not very significant in maternal morbidity and mortality. However, due to some factors such as the immunological response in the mother, certain complications may arise in the neonate in the post-natal period. No vertical transmission of the virus has been reported yet. However, the management remains crucial as two lives are at stake. Some of the precautionary measures that can be implemented to prevent COVID-19 can be segregation of medical services from that of the general population in settings of outpatient care, inpatient care and labor room care. Also, triaging the patients into low risk, moderate risk and high risk can aid in faster delivery of health-care facilities to the pregnant and the newborn.

There are a number of epidemiological studies that suggest the association of cardiovascular diseases and uric acid but very few studies highlight the direct association of deranged lipid profile with uric acid levels. The present study was indented to find out if any association exists between hyperuricemia and dyslipidemia. Blood samples were collected from healthy controls (n=70) and patients with dyslipidemia (n=70) who were not receiving any treatment for dyslipidemia. These samples were processed for estimating lipid profile and uric acid levels. The parameters in the two groups were compared. Correlation between different parameters was calculated by Pearson correlation analysis in both the groups. Uric acid levels (6.40 ± 1.27 vs 4.89 ± 0.21 mg/dl, P<0.001) were significantly higher in patients as compared to those in controls. There was significant increase in the levels of total cholesterol (TC), triglycerides (TAGs), LDL-C, VLDL-C, non-HDL cholesterol (P<0.001 in each case), in patients of dyslipidemia. However, significant decrease in the levels of HDL-C (P<0.001) was seen in patients compared to controls. LDL-C/HDL-C ratio (P<0.001), TC/HDL-C ratio (P<0.001) and TAG/HDL-C ratio (P<0.001) were also significantly increased in dyslipidemic subjects when compared to controls. Uric acid had significant correlations with TC (r=0.334, P<0.001), TAGs (r = 0.288, P<0.001), LDL-C (r = 0.241, P<0.001), VLDL-C (r= 0.158, P<0.001) and HDL-C (r=-0.652, P<0.001) in patients. Results of this study imply that there is higher association of hyperuricemia in dyslipidemic patients than normal subjects. Therefore treatment of underlying hyperuricemia should be an important aspect in planning the treatment strategy for dyslipidemia to reduce the cardiovascular morbidity.