Prediction of Micro- and Macrovascular Complications in Type 2 Diabetes Mellitus using Heart Rate Variability.

OBJECTIVE: To explore the utility of heart rate variability (HRV), a noninvasive marker of cardiac autonomic activity, as a prescreening tool for the prediction of micro- and macrovascular complications in type 2 diabetes mellitus (T2DM). METHODS: Consenting type 2 diabetic patients of both genders between 30 and 70 years, without known micro- and macrovascular complications of diabetes, were enrolled. Patients with medications affecting the HRV were excluded. Prior to other screening tests, 15 minutes of resting electrocardiogram (ECG) (1 kHz) was recorded in enrolled patients, followed by an exercise stress test and assessment for nephropathy, retinopathy, and peripheral neuropathy. The patients with positive stress tests were referred for coronary angiography to confirm coronary artery disease. Based on screening test results, patients were grouped as Group I-T2DM without complications (n = 31) and Group II-T2DM with micro/macrovascular complications (n = 29), (total = 60). RESULTS: Group comparison and test for association were employed, and p-value of <0.05 was considered significant. Significantly reduced HRV (decreased standard deviation of NN interval) between groups and a strong association of HRV indices with complications of diabetes were observed. Logistic regression to classify complicated vs noncomplicated group was used, and an accuracy of 0.78 with 85% sensitivity, 74% specificity with area under the curve (AUC) of 0.83 was observed. CONCLUSION: Significantly reduced HRV, stronger association with complications, and 85% sensitivity, 74% specificity, and 78% accuracy of classification make HRV indices a promising prescreening tool to predict micro- and macrovascular complications in type 2 diabetes.

Monkeypox: What do we know so far? A short narrative review of literature.

Monkeypox was a zoonotic infection, first detected in parts of northern Africa in the 1970s. Monkeypoxvirus, the causative agent of monkeypox, is a species of genus Orthopoxvirus and is closely related to long-eradicated smallpox caused by variola virus. Outbreaks in the West (in USA, UK, and Ireland) along with periodic re-emergence of the disease in parts of Africa have generated concern among global health bodies due to the existent deficiency of guidelines for management of the disease. Genetic variations and altered mechanisms favoring better survival of the virus have made early identification of the disease during screening difficult, particularly in resource-limited settings like rural areas of Africa. Through evidences gathered from experimental studies conducted after these outbreaks, the virus is known to be transmitted from several animal reservoirs along with human-to-human contact of blood, body fluids, or aerosol. Early diagnosis through immunoassays and polymerase chain reaction (PCR) tests, although not very specific, allows early treatment and subsequently better patient survival and recovery. Presence of lymphadenopathy along with fever, sore throat, and a vesiculopustular rash is diagnostic. The virus affects the gastrointestinal, hematological, ocular, and respiratory systems, in like manner producing afflictions of the specific system. Treatment, through experimental data, has been preferred to be symptomatic, with the aim to prevent superinfections. Antivirals like cidofovir and tecovirimat have been studied upon and used in clinical trials with favorable outcomes. Antiviral immunoglobulins have also been used with success in certain patients for postexposure prophylaxis.

Improving newborn screening in India: Disease gaps and quality control.

In India, newborn screening (NBS) is essential for detecting health problems in infants. Despite significant progress, significant gaps and challenges persist. India has made great strides in genomics dueto the existence of the National Institute of Biomedical Genomics in West Bengal. The work emphasizes the challenges NBS programs confront with technology, budgetary constraints, insufficient counseling, inequality in illness panels, and a lack of awareness. Advancements in technology, such as genetic testing and next-generation sequencing, are expected to significantly transform the process. The integration of analytical tools, artificial intelligence, and machine learning algorithms could improve the efficiency of newborn screening programs, offering a personalized healthcare approach. It is critical to address gaps in information, inequities in illness incidence, budgetary restrictions, and inadequate counseling. Strengthening national NBS programs requires increased public awareness and coordinated efforts between state and central agencies. Quality control procedures must be used at every level for implementation to be successful. Additional studies endeavor to enhance NBS in India through public education, illness screening expansion, enhanced quality control, government incentive implementation, partnership promotion, and expert training. Improved neonatal health outcomes and the viability of the program across the country will depend heavily on new technology and counseling techniques.