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1.
Indian J Crit Care Med ; 22(6): 457-459, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29962749

ABSTRACT

Sickle cell crisis is an acute clinical condition, caused due to capillary occlusion by the deformed red blood cells, leading to vaso-occlusive status. Vaso-occlusion is an emergency condition requiring intensive care admission and carries a high mortality. Sickle cell crisis is usually managed with hydration, analgesics, and supportive care. Therapeutic red cell exchange transfusion is advised as an adjuvant, for the management of sickle cell crisis, and it is mainly practiced in the pediatric population. We report an adult case of sickle cell crisis managed with therapeutic red cell exchange transfusion in Intensive Care Unit and successful outcome in patient management.

2.
Indian J Anaesth ; 60(2): 121-6, 2016 Feb.
Article in English | MEDLINE | ID: mdl-27013751

ABSTRACT

BACKGROUND AND AIMS: Dynamic parameters such as the respiratory variation in aortic flow peak velocity (ΔVpeak) and inferior vena cava distensibility index (dIVC) are accurate indices of fluid responsiveness in adults. Little is known about their utility in children. We studied the ability of these indices to predict fluid responsiveness in anaesthetised and mechanically ventilated children. METHODS: This prospective study was conducted in 42 children aged between one to 14 years scheduled for elective surgery under general endotracheal anaesthesia. Mechanical ventilation was initiated with a tidal volume of 10 ml/kg. ΔVpeak, dIVC and stroke volume index (SVI) were measured before and after volume expansion (VE) with 10 ml/kg of crystalloid using transthoracic echocardiography. Patients were considered to be responders (R) and non-responders (NR) when SVI increased to either ≥15% or <15% after VE. ΔVpeak and dIVC were analysed between R and NR. RESULTS: The best cut-off value for ΔVpeak as defined by the receiver operator characteristics (ROC) curve analysis was 12.2%, for which sensitivity, specificity, positive predictive value and negative predictive value were 100%, 94%, 96% and 100%, respectively, the area under the curve was 0.975. The best cut-off value for dIVC as defined by the ROC curve analysis was 23.5%, for which sensitivity, specificity, positive predictive value and negative predictive value were 91%, 89%, 91% and 89%, respectively, the area under the curve was 0.95. CONCLUSION: ΔVpeak and dIVC are reliable indices of fluid responsiveness in children.

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