Ozden Ozgur Horoz1, Dincer Yildizdas2, Yusuf Sari3, Ilker Unal4, Faruk Ekinci5, Ercument Petmezci6. 1. Department of Pediatric Intensive Care Unıt, Çukurova University, School of Medicine, Adana, Turkey. Electronic address: oozgurhoroz@yahoo.com. 2. Department of Pediatric Intensive Care Unıt, Çukurova University, School of Medicine, Adana, Turkey. Electronic address: dyildizdas@gmail.com. 3. Department of Pediatric Intensive Care Unıt, Çukurova University, School of Medicine, Adana, Turkey. Electronic address: ysari@hotmail.com. 4. Department of Biostatistics, Çukurova University, School of Medicine, Adana, Turkey. Electronic address: ilkerun@cu.edu.tr. 5. Department of Pediatric Intensive Care Unıt, Çukurova University, School of Medicine, Adana, Turkey. Electronic address: mdfarukek@yahoo.com. 6. Department of Pediatric Intensive Care Unıt, Çukurova University, School of Medicine, Adana, Turkey. Electronic address: ercumentpetmezci@gmail.com.
Abstract
PURPOSE: To the best of our knowledge, in the literature, there is no data regarding clinical utility of the abdominal perfusion pressure (APP) in critically ill children. Thus, in the present study, we aimed to investigate the clinical utility of APP in predicting of survival in critically ill children with IAH. DESIGN: A prospective cohort study of patients between 1 month to 18 years who had risk for intra-abdominal hypertension from June 2013 to January 2014. SETTING: Pediatric intensive care unit (PICU) at a tertiary university hospital. PATIENTS: Thirty-five (16 female) PICU patients who had risk for the development of IAH were included. Serial intraabdominal pressure (IAP) and mean arterial pressure (MAP) measurements were performed. Abdominal perfusion pressure was calculated using the formula (MAP-IAP). MEASUREMENTS AND MAIN RESULTS: Overall mortality rate was 49% (n = 17). The mortality rate in patients with IAP mean ≥10 mmHg (n = 27, 77%) was 55% (n = 15), while 53% (n = 16) in patients with IAP max ≥10 mmHg (n = 30, 86%) and 47% (n = 7) in patients with IAP min ≥ 10 mmHg (n = 15, 43%). Overall mean APP was 58 ± 20 mmHg. Logistic regression analysis revealed that decrease in minAPP was associated with increased risk for mortality (Odds ratio for each 1 mmHg decrease in APP was 1.052 [CI 95%, 1.006-1.100], p < 0.05). ROC curve analysis revealed that, in predicting mortality, area under curve for minAPP was 0.765. The optimal cut-off point for APP was obtained as 53 mmHg with the 77.8% sensitivity and 70.6% specificity using the IU method. CONCLUSIONS: Our findings showed that APP seems to be a useful tool in predicting mortality. Interventions to improve APP may be associated with better outcomes in critically ill PICU patients. LEVEL OF EVIDENCE: Level II. TYPE OF STUDY: Diagnostic.
PURPOSE: To the best of our knowledge, in the literature, there is no data regarding clinical utility of the abdominal perfusion pressure (APP) in critically ill children. Thus, in the present study, we aimed to investigate the clinical utility of APP in predicting of survival in critically ill children with IAH. DESIGN: A prospective cohort study of patients between 1 month to 18 years who had risk for intra-abdominal hypertension from June 2013 to January 2014. SETTING: Pediatric intensive care unit (PICU) at a tertiary university hospital. PATIENTS: Thirty-five (16 female) PICU patients who had risk for the development of IAH were included. Serial intraabdominal pressure (IAP) and mean arterial pressure (MAP) measurements were performed. Abdominal perfusion pressure was calculated using the formula (MAP-IAP). MEASUREMENTS AND MAIN RESULTS: Overall mortality rate was 49% (n = 17). The mortality rate in patients with IAP mean ≥10 mmHg (n = 27, 77%) was 55% (n = 15), while 53% (n = 16) in patients with IAP max ≥10 mmHg (n = 30, 86%) and 47% (n = 7) in patients with IAP min ≥ 10 mmHg (n = 15, 43%). Overall mean APP was 58 ± 20 mmHg. Logistic regression analysis revealed that decrease in minAPP was associated with increased risk for mortality (Odds ratio for each 1 mmHg decrease in APP was 1.052 [CI 95%, 1.006-1.100], p < 0.05). ROC curve analysis revealed that, in predicting mortality, area under curve for minAPP was 0.765. The optimal cut-off point for APP was obtained as 53 mmHg with the 77.8% sensitivity and 70.6% specificity using the IU method. CONCLUSIONS: Our findings showed that APP seems to be a useful tool in predicting mortality. Interventions to improve APP may be associated with better outcomes in critically ill PICUpatients. LEVEL OF EVIDENCE: Level II. TYPE OF STUDY: Diagnostic.
Authors: Marília Teresa de Oliveira; João Pedro Scussel Feranti; Gabriela Pesamosca Coradini; Rafael Oliveira Chaves; Luis Felipe Dutra Corrêa; Marcella Teixeira Linhares; Roberto Thiesen; Marco Augusto Machado Silva; Maurício Veloso Brun Journal: J Vet Sci Date: 2021-05 Impact factor: 1.672