Utility of Atypical Lymphocytes and Large Immature Cells in Prediction of Dengue Severity.

Background: There is a clinical imperative to devise metrics to prognosticate dengue severity. Our objective was to determine the association between longitudinal trends in atypical lymphocytes and large immature cell count with platelet count and dengue severity. Materials and methods: Retrospective analysis of longitudinally measured clinical and hematological data from (n = 79) hospitalized dengue patients was done. Results: The cohort consisted of patients with dengue fever without warning signs (DFWOWS) (n = 40, females = 14, and age = 19.9 ± 14.6 years), dengue fever with warning signs (DFWWS) (n = 36, females = 13, and age = 16.1 ± 14.1 years) and severe dengue (n = 3, females = 2, and age = 5.3 ± 4 years). Platelet count increased at a rate of 11,524 cells/mm3/day, with a slower rate of rise as the severity increased (p = 0.001***). Concurrently hematocrit and neutrophil percentage decreased, while the lymphocyte percentage and white blood cell (WBC) count increased during the hospital stay. Every 1% increase in atypical lymphocyte count (ATY) was associated with a fall in platelet count by 16,963 cells/mm3 (p = 0.001***). A similar but weaker trend was found for large immature cells (LICs). Conclusion: The data support the usefulness of longitudinal tracking of atypical lymphocyte and large immature cell count for dengue prognosis. The time trends of the hematological parameters indicate the progression of patients from the critical to the recovery phase. How to cite this article: Peraka R, Koppula A, Muppala BS, et al. Utility of Atypical Lymphocytes and Large Immature Cells in Prediction of Dengue Severity. J Assoc Physicians India 2023;71(11):19-24.

Impact of an Antimicrobial Stewardship Intervention on Usage of Antibiotics in Coronavirus Disease-2019 at a Tertiary Care Teaching Hospital in India.

Background: There was evidence that antibiotic usage increased in hospitalized COVID-19 patients during the early days of the pandemic. Objective: We assessed the impact of stewardship interventions on antibiotic usage in these patients. Methods: We designed a quasi-experimental study using an interrupted time series. Patients were stratified according to the severity category of the illness - mild and moderate-to-severe (O2 saturation ≥94% and <93% respectively). Baseline antibiotic usage data was collected in the pre-intervention phase. Intervention was given in the form of focus group discussion (FGD) and followed up with feedback-audit during the post-intervention phase. Primary outcome was the change in days of therapy (DOT) per 1000 patient-days. Results: 361 adult patients were recruited in both phases during July to December, 2020. In the post-intervention phase, DOT per 1000 patient-days reduced from 589 to 523 (P=0.013) and from 843 to 585 (P <0.0001) in mild and moderate-to-severe categories, respectively. De-escalations at 48 hours increased significantly from 21% to 41% (P=0.0079) and from 31% to 62% (P=0.0006), respectively. No difference in mortality was observed. Conclusion: We found high usage of empirical antibiotics in adult patients hospitalized with COVID-19. FGD and feedback audits can successfully reduce antibiotic overuse in these patients.

Self Care Activities, Diabetic Distress and other Factors which Affected the Glycaemic Control in a Tertiary Care Teaching Hospital in South India.

BACKGROUND: Interventions which were made to promote a better self-management have produced improvements in the glycaemic control in patients with Diabetes mellitus. An improved glycaemic control is known to prevent the long term complications. METHOD: This study was conducted at the Dr. Pinnamaneni Siddhartha Institute of Medical Sciences and Research Foundation, which is a rural tertiary health care centre. 546 patients were included in our study and they were assessed for the glycaemic control (HbA1c), diabetes distress (DDs), and self care activities. RESULTS: Of the total 546 patients, 49% had a poor glycaemic control, as was indicated by HbA1c levels of >7%. The factors which are significantly associated with a poor glycaemic control are age (p=0.03 ), sex (p= 0.0415), literacy (p=0.0422), duration of the disease (p=0.0006), diabetic distress (p=0.0001) and self care activities like diet ( p=0.0001), medication (p=0.0001) and exercise (p=0.0001), whereas there was no significant effect of the BM I (p=0.094) on the glycaemic control. CONCLUSION: This study revealed the factors that could predict the glycaemic control in the diabetic patients who attended our tertiary care teaching hospital. The barriers that prevent these patients from meeting their goals must be explored, to improve their health outcomes.