1
|
Borrelli M, Corcione A, Cimbalo C, Annunziata A, Basilicata S, Fiorentino G, Santamaria F. Diagnosis of Paediatric Obstructive Sleep-Disordered Breathing beyond Polysomnography. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1331. [PMID: 37628330 PMCID: PMC10452996 DOI: 10.3390/children10081331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023]
Abstract
Obstructive sleep-disordered breathing (SDB) has significant impacts on health, and therefore, a timely and accurate diagnosis is crucial for effective management and intervention. This narrative review provides an overview of the current approaches utilised in the diagnosis of SDB in children. Diagnostic methods for SDB in children involve a combination of clinical assessment, medical history evaluation, questionnaires, and objective measurements. Polysomnography (PSG) is the diagnostic gold standard. It records activity of brain and tibial and submental muscles, heart rhythm, eye movements, oximetry, oronasal airflow, abdominal and chest movements, body position. Despite its accuracy, it is a time-consuming and expensive tool. Respiratory polygraphy instead monitors cardiorespiratory function without simultaneously assessing sleep and wakefulness; it is more affordable than PSG, but few paediatric studies compare these techniques and there is optional recommendation in children. Nocturnal oximetry is a simple and accessible exam that has high predictive value only for children at high risk. The daytime nap PSG, despite the advantage of shorter duration and lower costs, is not accurate for predicting SDB. Few paediatric data support the use of home testing during sleep. Finally, laboratory biomarkers and radiological findings are potentially useful hallmarks of SDB, but further investigations are needed to standardise their use in clinical practice.
Collapse
Affiliation(s)
- Melissa Borrelli
- Department of Translational Medical Sciences, Paediatric Pulmonology, Federico II University, 80131 Naples, Italy; (A.C.); (C.C.); (S.B.); (F.S.)
| | - Adele Corcione
- Department of Translational Medical Sciences, Paediatric Pulmonology, Federico II University, 80131 Naples, Italy; (A.C.); (C.C.); (S.B.); (F.S.)
| | - Chiara Cimbalo
- Department of Translational Medical Sciences, Paediatric Pulmonology, Federico II University, 80131 Naples, Italy; (A.C.); (C.C.); (S.B.); (F.S.)
| | - Anna Annunziata
- Department of Intensive Cure, Unit of Respiratory Pathophysiology, Monaldi Hospital, 80131 Naples, Italy; (A.A.); (G.F.)
| | - Simona Basilicata
- Department of Translational Medical Sciences, Paediatric Pulmonology, Federico II University, 80131 Naples, Italy; (A.C.); (C.C.); (S.B.); (F.S.)
| | - Giuseppe Fiorentino
- Department of Intensive Cure, Unit of Respiratory Pathophysiology, Monaldi Hospital, 80131 Naples, Italy; (A.A.); (G.F.)
| | - Francesca Santamaria
- Department of Translational Medical Sciences, Paediatric Pulmonology, Federico II University, 80131 Naples, Italy; (A.C.); (C.C.); (S.B.); (F.S.)
| |
Collapse
|
2
|
Hii J, Templeton TW, Sommerfield D, Sommerfield A, Matava CT, von Ungern-Sternberg BS. Risk assessment and optimization strategies to reduce perioperative respiratory adverse events in pediatric anesthesia-Part 1 patient and surgical factors. Paediatr Anaesth 2022; 32:209-216. [PMID: 34897906 DOI: 10.1111/pan.14377] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/08/2021] [Accepted: 12/09/2021] [Indexed: 01/22/2023]
Abstract
Pediatric surgery cases are increasing worldwide. Within pediatric anesthesia, perioperative respiratory adverse events are the most common precipitant leading to serious complications. They can have intraoperative impact on the surgical procedure itself, lead to premature case termination and in addition may have postoperative impact resulting in longer hospitalization stays and costs. Although most perioperative respiratory adverse events can be promptly detected and managed, and will not lead to any sequelae, the risk of life-threatening progression remains. The incidence of respiratory adverse events increases in children with comorbid respiratory and/or nonrespiratory illnesses. Optimized perioperative patient care, risk-stratified care level choice, and practitioners with appropriate training allow for risk mitigation. This review will discuss patient and surgical risk factors with a focus on common patient comorbid illnesses and review scoring systems to quantify risk.
Collapse
Affiliation(s)
- Justin Hii
- Perioperative Medicine Team, Telethon Kids Institute, Nedlands, Western Australia, Australia.,Department of Anaesthesia, Joondalup Health Campus, Joondalup, Western Australia, Australia
| | - T Wesley Templeton
- Department of Anesthesiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - David Sommerfield
- Perioperative Medicine Team, Telethon Kids Institute, Nedlands, Western Australia, Australia.,Division of Emergency Medicine, Anaesthesia and Pain Medicine, Medical School, University of Western Australia, Crawley, Western Australia, Australia.,Department of Anaesthesia and Pain Management, Perth Children's Hospital, Nedlands, Western Australia, Australia
| | - Aine Sommerfield
- Perioperative Medicine Team, Telethon Kids Institute, Nedlands, Western Australia, Australia.,Department of Anaesthesia and Pain Management, Perth Children's Hospital, Nedlands, Western Australia, Australia
| | - Clyde T Matava
- Department of Anesthesia and Pain Medicine, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Anesthesiology and Pain Medicine, Termerty Faculty of Medicine, University of Toronto, Ontario, Canada
| | - Britta S von Ungern-Sternberg
- Perioperative Medicine Team, Telethon Kids Institute, Nedlands, Western Australia, Australia.,Division of Emergency Medicine, Anaesthesia and Pain Medicine, Medical School, University of Western Australia, Crawley, Western Australia, Australia.,Department of Anaesthesia and Pain Management, Perth Children's Hospital, Nedlands, Western Australia, Australia
| |
Collapse
|
3
|
The lymphocyte/monocyte ratio and red blood cell transfusion during radical retropubic prostatectomy. J Anesth 2021; 36:68-78. [PMID: 34623495 PMCID: PMC8497187 DOI: 10.1007/s00540-021-03008-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 09/29/2021] [Indexed: 12/04/2022]
Abstract
Purpose Despite improvements of strategy in radical retropubic prostatectomy, blood loss is still a major concern. The lymphocyte/monocyte (LM) ratio is a prognostic indicator for various diseases. We identified the risk factors, including the LM ratio, for red blood cell (RBC) transfusion during radical retropubic prostatectomy. Methods This retrospective study assessed patients who underwent radical retropubic prostatectomy between March 2009 and December 2020. To determine the risk factors for RBC transfusion, a multivariate logistic regression analysis was conducted. A receiver operating characteristic (ROC) curve analysis was also performed. Postoperative outcomes, including acute kidney injury (AKI), hospitalization duration, and intensive care unit (ICU) admission, were also evaluated. Results Among 1302 patients, 158 patients (12.1%) received an intraoperative RBC transfusion. Multivariate logistic regression analysis demonstrated that the risk factors for RBC transfusion were the LM ratio, hemoglobin, 6% hydroxyethyl starch amount, and positive surgical margin. The area under the ROC curve of LM ratio was 0.706 (cut-off = 4.3). The LM ratio at ≤ 4.3 was significantly related to transfusion in multivariate-adjusted analysis (odds ratio = 4.598, P < 0.001). AKI and ICU admission were significantly higher, and the hospitalization duration was significantly longer in patients with RBC transfusion. Conclusions The LM ratio was a risk factor for RBC transfusion in radical retropubic prostatectomy. The optimal cut-off value of the LM ratio to predict transfusion was 4.3. RBC transfusion was associated with poor postoperative outcomes. Therefore, our results suggest that the LM ratio provide useful information on RBC transfusion in radical retropubic prostatectomy.
Collapse
|
4
|
Morell-Garcia D, Toledo-Pons N, Sanchis P, Bauça JM, Sánchez JM, Peña-Zarza J, Giménez P, Pierola J, de la Peña-Bravo M, Alonso-Fernández A, Barceló A. Red cell distribution width: a new tool for the severity prediction of sleep apnoea syndrome in children. ERJ Open Res 2020; 6:00278-2019. [PMID: 33043053 PMCID: PMC7533379 DOI: 10.1183/23120541.00278-2019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Accepted: 06/10/2020] [Indexed: 12/04/2022] Open
Abstract
Introduction Red cell distribution width (RDW) is a parameter included in the complete blood count which informs about the size of the circulating red blood cell population and its distribution. In adults, an increase in RDW was shown to be associated both with obstructive sleep apnoea (OSA) and with an increase in cardiovascular mortality. The aim of this study was to determine whether RDW is a potential biomarker for screening children with moderate–severe OSA. Methods An observational study in snoring patients was performed. All patients underwent a sleep study and were classified either as simple snorers (apnoea–hypopnoea index (AHI) <1 event·h−1) or as patients with OSA (mild AHI ≥1 to <5 events·h−1; moderate–severe AHI ≥5 events·h−1). Blood analyses (complete blood count and C-reactive protein) were performed for every individual. Results A total of 175 individuals were recruited. The mean age was 8.3±3.6 years. Correlation studies between RDW and several sleep-related parameters showed negative significant associations with minimum oxygen saturation, and positive significant associations with oxygen desaturation index (≥3% and ≥4%), AHI and the arousal index. A predictive model for paediatric severe OSA (AHI ≥5 events·h−1) was found based on mean corpuscular haemoglobin concentration (MCHC) <34.9 g·dL−1 and RDW >13.1% values, adjusting for body mass index z-score and age (area under the curve 0.657; p=0.004). In addition, differences were found in eosinophil count and C-reactive protein concentrations among the three subgroups. Conclusions In children, RDW stands out as a biomarker associated with the severity of OSA. The use of RDW and MCHC could be a simple but useful tool for the severity prediction of paediatric OSA in snoring patients. Red cell distribution width and mean corpuscular haemoglobin concentration are blood markers associated with the severity of paediatric OSAhttps://bit.ly/2Asw1xa
Collapse
Affiliation(s)
- Daniel Morell-Garcia
- Dept of Laboratory Medicine, Hospital Universitari Son Espases, Palma de Mallorca, Spain.,Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain
| | - Núria Toledo-Pons
- Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain.,Respiratory Dept, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Pilar Sanchis
- Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain
| | - Josep Miquel Bauça
- Dept of Laboratory Medicine, Hospital Universitari Son Espases, Palma de Mallorca, Spain.,Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain
| | - José María Sánchez
- Haematology Dept, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - José Peña-Zarza
- Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain.,Pulmonology and Sleep Disorders Section, Dept of Pediatrics, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Paloma Giménez
- Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain
| | - Javier Pierola
- Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain
| | - Mónica de la Peña-Bravo
- Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain.,Respiratory Dept, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Alberto Alonso-Fernández
- Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain.,Respiratory Dept, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Antònia Barceló
- Dept of Laboratory Medicine, Hospital Universitari Son Espases, Palma de Mallorca, Spain.,Institut d'Investigació Sanitària de les Illes Balears, Palma de Mallorca, Spain
| |
Collapse
|