Clinico-demographic Profile and Predictors of Intensive Care Need in Children with Respiratory Syncytial Virus-associated Acute Lower Respiratory Illness during Its Recent Outbreak alongside Ongoing COVID-19 Pandemic: An Eastern Indian Perspective.

ABSTRACT

Introduction: The objective was to delineate the clinico-epidemiological characteristics of hospitalized children with respiratory syncytial virus (RSV)-associated acute lower respiratory tract infection (RSV-ALRI) during its recent outbreak and to find out the independent predictors of pediatric intensive care unit (PICU) admission. Materials and methods: Children aged between 1 month and 12 years who tested positive for RSV were included. Multivariate analysis was performed to identify the independent predictors and predictive scores were developed from the ß-coefficients. Receiver operating characteristic curve (ROC) was generated and the area under the curve (AUC) was calculated to assess the overall precision. The performance of sum scores in predicting PICU need, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and positive and negative likelihood ratios (LR+ and LR-) were calculated for each cutoff value. Results: The proportion of RSV positivity was 72.58%. A total of 127 children were included with a median [interquartile range (IQR)] age of 6 (2-12) months, of whom 61.42% were males and 33.07% had underlying comorbidity. Tachypnea, cough, rhinorrhea, and fever were predominant clinical presentations while hypoxia and extrapulmonary manifestations were present in 30.71% and 14.96% of children, respectively. About 30% required PICU admission, and 24.41% developed complications. Premature birth, age below 1 year, presence of underlying CHD, and hypoxia were independent predictors. The AUC [95% confidence interval (CI)] was 0.869 (0.843-0.935). Sum score below 4 had 97.3% sensitivity and 97.1% NPV whereas sum score above 6 had 98.9% specificity, 89.7% PPV, 81.3% NPV, 46.2 LR+, and 0.83 LR- to predict PICU needs. Conclusion: Awareness of these independent predictors and application of the novel scoring system will be beneficial for busy clinicians in planning the level of care needed, thereby optimizing PICU resource utilization. How to cite this article Ghosh A, Annigeri S, Hemram SK, Dey PK, Mazumder S. Clinico-demographic Profile and Predictors of Intensive Care Need in Children with Respiratory Syncytial Virus-associated Acute Lower Respiratory Illness during Its Recent Outbreak alongside Ongoing COVID-19 Pandemic An Eastern Indian Perspective. Indian J Crit Care Med 2022;26(11)1210-1217.