2020
DOI: 10.1097/pcc.0000000000002592
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Functional Outcomes at 1 Year After PICU Discharge in Critically Ill Children With Severe Sepsis

Abstract: Objectives: To evaluate the functional outcomes in critically ill children with severe sepsis using the Pediatric Overall Performance Category scale and Pediatric Cerebral Performance Category scale and to evaluate the risk factors for “worse outcomes.” Design: Prospective observational cohort study. Setting: Tertiary care PICU from September 2017 to October 2019. Patients: … Show more

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Cited by 26 publications
(35 citation statements)
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“…In conclusion, we used a discrete-time Markov chain to characterize the illness trajectory following sepsis. Pediatric sepsis is a heterogeneous disease that can result in mortality or significant morbidity and prolonged physical disability (3,4). Using the entropy based on Markov chain transition matrices, we found a different structure of dynamic transitions based on ventilator use but not age group.…”
Section: Discussionmentioning
confidence: 85%
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“…In conclusion, we used a discrete-time Markov chain to characterize the illness trajectory following sepsis. Pediatric sepsis is a heterogeneous disease that can result in mortality or significant morbidity and prolonged physical disability (3,4). Using the entropy based on Markov chain transition matrices, we found a different structure of dynamic transitions based on ventilator use but not age group.…”
Section: Discussionmentioning
confidence: 85%
“…Illness state 1 has risk scores in the range [1,2], representing those with an increased risk. Risk scores in the range [2,3] compose illness state 2, and represent a higher illness state than the preceding states of 0 and 1. The highest risk illness state, 3, contains all scores 3 or higher.…”
Section: Markov Chain Constructionmentioning
confidence: 99%
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“…The studies from LMIC on functional outcome in pediatric sepsis are scarce. In the study by Sankar et al ( 26 ), the common infection sources were respiratory (35%), gastrointestinal (31%), and neurologic (21%) with 37% having comorbidities at admission. The difference in the proportion of children with new disability from the baseline using POPC and PCPC scores was significant ( p < 0.0001).…”
Section: Discussionmentioning
confidence: 99%
“…Due to lack of a standardized definition and measurement tool, pediatric morbidity outcome data are highly varied secondary to the use of different assessment tools, various outcomes measures, heterogenous patient populations, and differing durations of follow-up ( 17 , 22 ). Estimates for development of new morbidity following septic episodes vary widely, ranging from 12 to 50%, primarily assessed in resource-rich settings ( 1 , 9 , 10 , 14 , 16 , 18 , 19 , 23 ). Multiple factors have been associated with higher risk for morbidity, including source of infection, recent trauma, acute kidney injury, receipt of cardiopulmonary resuscitation (CPR), more severe illness, and longer ICU and hospital stay ( 10 , 14 , 16 , 19 ).…”
Section: Introductionmentioning
confidence: 99%