METHODS: This retrospective multicentric cohort study was conducted during three Covid-19 pandemic waves. The records were retrieved from the centers' medical record section and the MTP register from the Department of Obstetrics and Gynaecology.
RESULTS: On an average, 1.1 women/day underwent MTP during covid waves compared to 1.9 women/day during the pre-covid 2019. The first Covid wave's average MTP/day was very low (0.71) compared to the third (2.88) and second wave (1.12), respectively. These differences were statistically significant (p<0.0001). The most common indication for MTP was contraceptive failure 245(50.9%), followed by eugenic/congenital anomalies 88(18.9%). A total of 244 cases (50.6%) reported for MTP ≤ seven weeks and 114(23.6%) presented between 7 and 12 weeks. More than half (54%) of the women underwent surgical methods for abortion as the unavailability of medical abortion (MA) drugs. IUCD and sterilization were severely affected during the first and second Covid waves.
CONCLUSION: Safe abortions are essential services for reproductive-age women. With the uncertainty of future Covid-like an emergency, we should strengthen our telemedicine network so that women can reach out early and MMA can be initiated to reduce the number of surgical abortions and unwanted pregnancies.
IMPORTANCE: DNA modification plays a crucial role in bacterial regulation. Despite several examples demonstrating the role of methyltransferase (MTase) enzymes in bacterial virulence, investigation of this phenomenon on a whole-genome scale has remained elusive until now. Here we used single-molecule real-time (SMRT) sequencing to determine the first complete methylome of a strain from the multidrug-resistant E. coli sequence type 131 (ST131) lineage. By interrogating the methylome computationally and with further SMRT sequencing of isogenic mutants representing previously uncharacterized MTase genes, we defined the target sequences of three novel ST131-specific MTases and determined the genomic distribution of all MTase target sequences. Using a large collection of 95 previously sequenced ST131 genomes, we identified mobile genetic elements as a major factor driving diversity in DNA methylation patterns. Overall, our analysis highlights the potential for DNA methylation to dramatically influence gene regulation at the transcriptional level within a well-defined E. coli clone.
METHODS: We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies.
RESULTS: Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort.
CONCLUSIONS: Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.