Associations Between Complete Blood Count‐Derived Inflammation Indices and Emergence Delirium in Children Undergoing Adenotonsillectomy

ABSTRACT Background Emergence delirium (ED) is a common postoperative complication in the pediatric population. Although the pathophysiology of ED has not been fully elucidated, an association has been suggested between inflammation and the development of the condition. Aims The aim of this study was to investigate the associations between the development of ED and preoperative inflammatory indices, primarily the systemic immune inflammation index (SII) and the pan‐immune inflammation value (PIV) calculated from complete blood count parameters in pediatric patients undergoing adenoidectomy or adenotonsillectomy. Methods This prospective study was conducted with children aged 3–12 years who underwent adenoidectomy or adenotonsillectomy at our hospital. Preoperative inflammatory indices were calculated from complete blood count parameters, including the SII (platelet × neutrophil/lymphocyte), PIV (platelet × neutrophil × monocyte/lymphocyte), neutrophil‐to‐lymphocyte ratio (NLR), neutrophil‐to‐monocyte ratio (NMR), monocyte‐to‐lymphocyte ratio (MLR), platelet‐to‐lymphocyte ratio (PLR), and platelet‐to‐monocyte ratio (PMR). ED was assessed using the Pediatric Anesthesia Emergence Delirium (PAED) scale, while the Face, Legs, Activity, Cry, Consolability (FLACC) scale was used to minimize confounding by postoperative pain. Statistical analyses included receiver operating characteristic (ROC) curve analysis and multivariable logistic regression to assess the association between inflammatory indices and emergence delirium. Results ED occurred in 32 out of 99 patients (32.3%). SII exhibited an AUC of 0.850 with a cut‐off value of 412 (sensitivity 81.3%; specificity 86.6%). PIV exhibited an area under the curve of 0.883, with a cut‐off value of 289 (sensitivity 75.0%; specificity 92.5%). In the univariable analysis, operative time, SII, and PIV were significantly associated with ED. In the multivariable analysis, operative time, SII and PIV were significantly associated with ED. Conclusions SII and PIV values derived from routine complete blood count parameters were observed to be associated with the development of ED in pediatric patients undergoing adenotonsillectomy and may provide useful insights into the potential role of systemic inflammation in the pathophysiology of such delirium.

Authors

Institutions

Publication Details

Journal
Pediatric Anesthesia
Published
2026-05-14
DOI
https://doi.org/10.1002/pan.70219
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations Between Complete Blood Count‐Derived Inflammation Indices and Emergence Delirium in Children Undergoing Adenotonsillectomy

Alparslan Koç, Ayhan Kars, Serkan Altıparmak, Sara Salcan
Pediatric Anesthesia
Intensive Care Unit Cognitive Disorders
article

Associations Between Complete Blood Count‐Derived Inflammation Indices and Emergence Delirium in Children Undergoing Adenotonsillectomy

Alparslan Koç, Ayhan Kars, Serkan Altıparmak, Sara Salcan
article en

Abstract

ABSTRACT Background Emergence delirium (ED) is a common postoperative complication in the pediatric population. Although the pathophysiology of ED has not been fully elucidated, an association has been suggested between inflammation and the development of the condition. Aims The aim of this study was to investigate the associations between the development of ED and preoperative inflammatory indices, primarily the systemic immune inflammation index (SII) and the pan‐immune inflammation value (PIV) calculated from complete blood count parameters in pediatric patients undergoing adenoidectomy or adenotonsillectomy. Methods This prospective study was conducted with children aged 3–12 years who underwent adenoidectomy or adenotonsillectomy at our hospital. Preoperative inflammatory indices were calculated from complete blood count parameters, including the SII (platelet × neutrophil/lymphocyte), PIV (platelet × neutrophil × monocyte/lymphocyte), neutrophil‐to‐lymphocyte ratio (NLR), neutrophil‐to‐monocyte ratio (NMR), monocyte‐to‐lymphocyte ratio (MLR), platelet‐to‐lymphocyte ratio (PLR), and platelet‐to‐monocyte ratio (PMR). ED was assessed using the Pediatric Anesthesia Emergence Delirium (PAED) scale, while the Face, Legs, Activity, Cry, Consolability (FLACC) scale was used to minimize confounding by postoperative pain. Statistical analyses included receiver operating characteristic (ROC) curve analysis and multivariable logistic regression to assess the association between inflammatory indices and emergence delirium. Results ED occurred in 32 out of 99 patients (32.3%). SII exhibited an AUC of 0.850 with a cut‐off value of 412 (sensitivity 81.3%; specificity 86.6%). PIV exhibited an area under the curve of 0.883, with a cut‐off value of 289 (sensitivity 75.0%; specificity 92.5%). In the univariable analysis, operative time, SII, and PIV were significantly associated with ED. In the multivariable analysis, operative time, SII and PIV were significantly associated with ED. Conclusions SII and PIV values derived from routine complete blood count parameters were observed to be associated with the development of ED in pediatric patients undergoing adenotonsillectomy and may provide useful insights into the potential role of systemic inflammation in the pathophysiology of such delirium.

Pediatric Anesthesia
Erzincan Binali Yıldırım University (TR)
Good health and well-being
Openalex Percentile: Top 4%
Intensive Care Unit Cognitive Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.