World Journal of Emergency Medicine ›› 2026, Vol. 17 ›› Issue (1): 70-75.doi: 10.5847/wjem.j.1920-8642.2026.024
• Original Articles • Previous Articles Next Articles
Hui Wen1,2, Maiying Fan1,2(
), Junliang Xiao1,2, Zhiqun Liu1,2, Xiaohua Liu1,2, Shuzhen Mao1,2, Xiaotong Han1,2, Fengling Ning1,2
Received:2025-09-15
Accepted:2025-12-26
Online:2026-01-29
Published:2026-01-01
Contact:
Maiying Fan, Email: 17756225@qq.com, 642643169@qq.comHui Wen, Maiying Fan, Junliang Xiao, Zhiqun Liu, Xiaohua Liu, Shuzhen Mao, Xiaotong Han, Fengling Ning. Application of electrical impedance tomography-guided PEEP titration in acute respiratory distress syndrome patients with intra-abdominal hypertension[J]. World Journal of Emergency Medicine, 2026, 17(1): 70-75.
Add to citation manager EndNote|Ris|BibTeX
URL: http://wjem.com.cn/EN/10.5847/wjem.j.1920-8642.2026.024
Table 1.
Characteristics of the ARDS patients with and without IAH
| Variables | Total (n=36) | IAH (n=22) | NIAH (n=14) | P-value |
|---|---|---|---|---|
| Demographics | ||||
| Male sex, n (%) | 25 (69.44) | 15 (68.18) | 10 (71.43) | 0.837 |
| Height, cm, mean±SD | 167.08±7.77 | 167.82±8.63 | 165.93±6.33 | 0.485 |
| Weight, kg, mean±SD | 71.31±13.23 | 75.27±13.29 | 65.07±10.84 | 0.022* |
| Body mass index, kg/m2, mean±SD | 25.33±3.40 | 26.48±3.06 | 23.52±3.21 | 0.009** |
| APACHE II score, mean±SD | 19.67±5.79 | 21.05±4.96 | 17.50±6.49 | 0.073 |
| SOFA score, median (IQR) | 8 (4, 23) | 8.5 (7, 10) | 7.0 (6.0, 8.3) | 0.023* |
| IAP, mmHg, mean±SD | 13.19±2.93 | 14.88±2.41 | 10.53±1.14 | <0.01** |
| PiO2/FiO2, mmHg, mean±SD | 161.15±61.38 | 151.69±65.16 | 176.01±53.81 | 0.252 |
| Central venous pressure, median (IQR) | - | 12.0 (10.8, 14.0) | 10.0 (7.8, 11.0) | 0.009** |
| ARDS origin, n (%) | ||||
| Pulmonary | 16 (44.44) | 7 (31.82) | 9 (64.29) | 0.056 |
| ARDS severity, n (%) | ||||
| Mild | 8 (22.22) | 5 (22.73) | 3 (21.43) | 0.292 |
| Moderate | 21 (58.33) | 11 (50.00) | 10 (71.43) | |
| Severe | 7 (19.44) | 6 (27.27) | 1 (7.14) | |
| Diagnosis, n (%) | ||||
| Pyemia | 20 (55.56) | 14 (63.64) | 6 (42.86) | 0.221 |
| Severe pneumonia | 19 (52.78) | 9 (40.91) | 10 (71.43) | 0.074 |
| Severe acute pancreatitis | 10 (27.78) | 10 (45.45) | 0 (0.00) | 0.003** |
| Trauma | 2 (5.56) | 1 (4.55) | 1 (7.14) | 0.740 |
| Other | 2 (5.56) | 1 (4.55) | 1 (7.14) | 0.740 |
| Comorbidity, n (%) | ||||
| Hypertension | 16 (44.44) | 10 (45.45) | 6 (42.86) | 0.878 |
| Coronary disease | 9 (25.00) | 5 (22.73) | 4 (28.57) | 0.693 |
| Diabetes mellitus | 11 (30.56) | 5 (22.73) | 6 (42.86) | 0.201 |
| Chronic obstructive pulmonary disease | 5 (13.89) | 2 (9.09) | 3 (21.43) | 0.297 |
| Hepatic insufficiency | 7 (19.44) | 7 (31.82) | 0 (0.00) | 0.019* |
| Renal insufficiency | 10 (27.78) | 9 (40.91) | 1 (7.14) | 0.027* |
| History of tumors | 4 (11.11) | 1 (4.55) | 3 (21.43) | 0.116 |
| Recent surgical history | 7 (19.44) | 5 (22.73) | 2 (14.29) | 0.533 |
| Treatment, n (%) | ||||
| Glucocorticoid | 8 (22.22) | 5 (22.73) | 3 (21.43) | 0.927 |
| Vasoactive drug | 19 (52.78) | 15 (68.18) | 4 (28.57) | 0.020* |
| Muscle relaxants | 2 (5.56) | 2 (9.09) | 0 (0.00) | 0.246 |
| Outcome | ||||
| 28-day mortality, n (%) | 12 (33.3) | 10 (45.45) | 2 (14.29) | 0.053 |
| Mechanical ventilation time, d, median (IQR) | 10 (7, 16.75) | 10 (7.8,17.3) | 9 (6.8, 16.3) | 0.591 |
| ICU hospitalization, d, median (IQR) | 14.5 (8, 21.5) | 13.5 (8, 20.5) | 15 (10.3, 26) | 0.416 |
| Hospitalization, d, median (IQR) | 19 (13.25, 31.75) | 18.5 (9.5, 34.5) | 19.5 (14.8, 27.3) | 0.770 |
Table 2.
Comparison of respiratory mechanics, gas exchange, and hemodynamic changes in two groups before and after titration
| Variables | IAH group pairs | P-value | NIAH group pairs | P-value | Change value before and after PEEP titration | P-value | |||
|---|---|---|---|---|---|---|---|---|---|
| After PEEP titration | Before PEEP titration | After PEEP titration | Before PEEP titration | IAH group | NIAH group | ||||
| Respiratory mechanics parameters | |||||||||
| PEEP, cmH2O | 12.5 (10.0, 15.0) | 10.0 (6.0, 10.5) | <0.01** | 12.0 (8.8, 14.0) | 7.0 (5.0, 8.5) | <0.01** | 3.45±3.10 | 4.14±2.11 | 0.471 |
| Tidal volume, mL | 447.59±88.76 | 433.09±62.36 | 0.354 | 419.93±68.35 | 417.79±58.03 | 0.851 | 14.50±71.80 | 2.14±41.98 | 0.564 |
| PIP, cmH2O | 29.0 (24.0, 33.3) | 26.5 (19.0, 32.8) | 0.015* | 28.5 (24.0, 34.5) | 24.0 (19.8, 29.3) | 0.047* | 2.55±4.52 | 3.86±6.37 | 0.475 |
| Pplat, cmH2O | 22.67 (20.9, 26.7) | 20.5 (18.0, 22.9) | 0.002** | 21.15 (18.3, 27.0) | 18.04 (16.5, 20.0) | 0.008** | 2.95±3.86 | 3.24±3.85 | 0.827 |
| DP, cmH2O | 10.86±2.30 | 11.07±2.68 | 0.652 | 10.93±1.99 | 12.02±2.48 | 0.131 | -0.21±2.15 | -1.08±2.52 | 0.273 |
| RR, breaths/min | 19.55±3.78 | 21.36±3.82 | 0.047* | 20.00±4.71 | 19.93±5.06 | 0.947 | -1.82±4.03 | 0.07±3.91 | 0.175 |
| Cstat, mL/cmH2O | 39.5 (34.8, 47.0) | 37.5 (31.5, 51.3) | 0.653 | 37.0 (34.5, 43.5) | 38.5 (30.5, 42.3) | 0.385 | 0.17±10.37 | 1.86±7.73 | 0.606 |
| MP, J/min | 18.93 (14.3, 23.9) | 20.71 (13.2, 24.7) | 0.394 | 17.78 (13.8, 23.4) | 14.49 (11.4, 17.8) | 0.024* | -1.14±6.15 | -3.82±5.60 | 0.197 |
| 4DP+RR | 62.99±9.60 | 65.64±10.40 | 0.168 | 63.72±9.35 | 67.99±12.10 | 0.114 | -2.66±8.72 | -4.27±9.42 | 0.604 |
| Gas exchange parameters | |||||||||
| P/F | 183.54±75.11 | 126.58±29.19 | 0.008** | 254.37±106.75 | 115.74±26.70 | 0.001** | 56.96±91.80 | 138.62±121.79 | 0.028* |
| SpO2, % | 96.07±3.63 | 96.09±3.15 | 0.986 | 97.29±2.73 | 94.86±6.98 | 0.226 | 1 (0.0, 2.3) | 0 (-1.3, 1.3) | 0.074 |
| pH | 7.36±0.07 | 7.38±0.10 | 0.335 | 7.43±0.07 | 7.40±0.08 | 0.051 | -0.01±0.06 | 0.03±0.04 | 0.052 |
| PaO2, mmHg | 92.00±22.34 | 80.05±20.18 | 0.019* | 108.93±36.71 | 88.36±26.12 | 0.044* | 11.95±21.96 | 20.57±34.60 | 0.366 |
| PaCO2, mmHg | 43.14±9.53 | 41.82±11.49 | 0.397 | 40.93±9.67 | 43.43±8.93 | 0.094 | 1.32±7.15 | -2.50±5.17 | 0.093 |
| Regional pulmonary ventilation (%) | |||||||||
| ROI1 | 14.82±5.04 | 17.32±5.16 | <0.01** | 11.36±3.30 | 15.93±4.38 | 0.002** | -2.50±2.84 | -4.57±4.47 | 0.097 |
| ROI2 | 49.82±8.05 | 53.95±9.22 | 0.034* | 45.50±10.65 | 53.00±7.98 | 0.003** | -4.14±7.84 | -7.50±7.77 | 0.217 |
| ROI3 | 29.27±9.62 | 24.00±9.85 | 0.006** | 32.93±10.10 | 23.86±9.97 | 0.001** | 5.27±8.15 | 9.07±7.52 | 0.170 |
| ROI4 | 6.09±3.62 | 4.68±2.61 | 0.003** | 10.29±6.33 | 7.64±3.25 | 0.029* | 1.41±1.74 | 2.64±4.03 | 0.295 |
| δEEVI | - | - | - | - | - | - | 0.66±0.37 | 0.43±0.47 | 1.488 |
| Circulating hemodynamic parameters | |||||||||
| MAP, cmH2O | 86.48±15.30 | 84.65±13.19 | 0.305 | 85.50±11.56 | 86.19±11.01 | 0.827 | 1.83±10.22 | -0.69±11.62 | 0.498 |
| HR, beats/min | 103.00±19.54 | 100.41±19.05 | 0.397 | 95.57±25.93 | 93.79±23.50 | 0.593 | 2.59±14.04 | 1.79±12.18 | 0.861 |
| CVP, cmH2O | 12.5 (10.0, 14.0) | 12.0 (10.8, 14.0) | 0.412 | 9.5 (8.0, 12.0) | 10.0 (7.8, 11.0) | 0.775 | 0.5 (-1.5, 2.0) | 0 (-1.0, 2.0) | 0.882 |
| Lactate, mmol/L | 1.3 (1.0, 2.0) | 1.3 (0.9, 2.4) | 0.204 | 1.2 (0.9, 1.9) | 1.2 (0.9, 1.6) | 0.626 | -0.15 (-0.3, 0.5) | -0.1 (-0.5, 0.2) | 0.580 |
| 1 |
Bellani G, Laffey JG, Pham T, Fan E, Brochard L, Esteban A, et al. Epidemiology, patterns of care, and mortality for patients with acute respiratory distress syndrome in intensive care units in 50 countries. JAMA. 2016; 315(8): 788-800.
doi: 10.1001/jama.2016.0291 pmid: 26903337 |
| 2 |
Coppola S, Froio S, Marino A, Brioni M, Cesana BM, Cressoni M, et al. Respiratory mechanics, lung recruitability, and gas exchange in pulmonary and extrapulmonary acute respiratory distress syndrome. Crit Care Med. 2019; 47(6): 792-9.
doi: 10.1097/CCM.0000000000003715 pmid: 30908313 |
| 3 |
Reintam Blaser A, Regli A, De Keulenaer B, Kimball EJ, Starkopf L, Davis WA, et al. Incidence, risk factors, and outcomes of intra-abdominal hypertension in critically ill patients-a prospective multicenter study (IROI study). Crit Care Med. 2019; 47(4): 535-42.
doi: 10.1097/CCM.0000000000003623 pmid: 30608280 |
| 4 |
Fernando SM, Fan E, Rochwerg B, Burns KEA, Brochard LJ, Cook DJ, et al. Lung-protective ventilation and associated outcomes and costs among patients receiving invasive mechanical ventilation in the ED. Chest. 2021; 159(2): 606-18.
doi: 10.1016/j.chest.2020.09.100 pmid: 32966812 |
| 5 |
Xuan NX, Tian BP, Ying L, Cao XJ, Wang DQ, Zhang GS. Electrical impedance tomography: from technical innovations to bedside clinical solutions. World J Emerg Med. 2025; 16(5): 497-502.
doi: 10.5847/wjem.j.1920-8642.2025.097 pmid: 40979785 |
| 6 |
Hancı P, Demir ET, Şekerci B, İnal V. Optimizing positive end-expiratory pressure based on intra-abdominal pressure in patients with acute respiratory failure. Niger J Clin Pract. 2024; 27(8): 1033-7.
doi: 10.4103/njcp.njcp_103_24 pmid: 39212442 |
| 7 |
Kirkpatrick AW, Roberts DJ, De Waele J, Jaeschke R, Malbrain MLNG, De Keulenaer B, et al. Intra-abdominal hypertension and the abdominal compartment syndrome: updated consensus definitions and clinical practice guidelines from the World Society of the Abdominal Compartment Syndrome. Intensive Care Med. 2013; 39(7): 1190-206.
doi: 10.1007/s00134-013-2906-z pmid: 23673399 |
| 8 | Van Trung D, Giang BTH, Tuan DQ, Tan NC, Thach PT, Van Cuong B, et al. The impact of PEEP-guided electrical impedance tomography on oxygenation and respiratory mechanics in moderate-to-severe ARDS: a randomized controlled trial. Sci Rep. 2025. |
| 9 |
Gattinoni L, Tonetti T, Cressoni M, Cadringher P, Herrmann P, Moerer O, et al. Ventilator-related causes of lung injury: the mechanical power. Intensive Care Med. 2016; 42(10): 1567-75.
doi: 10.1007/s00134-016-4505-2 pmid: 27620287 |
| 10 |
Costa ELV, Slutsky AS, Brochard LJ, Brower R, Serpa-Neto A, Cavalcanti AB, et al. Ventilatory variables and mechanical power in patients with acute respiratory distress syndrome. Am J Respir Crit Care Med. 2021; 204(3): 303-11.
doi: 10.1164/rccm.202009-3467OC |
| 11 |
Rodriguez PO, Bonelli I, Setten M, Attie S, Madorno M, Maskin LP, et al. Transpulmonary pressure and gas exchange during decremental PEEP titration in pulmonary ARDS patients. Respir Care. 2013; 58(5): 754-63.
doi: 10.4187/respcare.01977 pmid: 23051849 |
| 12 |
He HW, Chi Y, Yang YY, Yuan SY, Long Y, Zhao PY, et al. Early individualized positive end-expiratory pressure guided by electrical impedance tomography in acute respiratory distress syndrome: a randomized controlled clinical trial. Crit Care. 2021; 25(1): 230.
doi: 10.1186/s13054-021-03645-y |
| 13 |
Sanchez-Piedra C, Rodríguez-Ortiz-de-Salazar B, Roca O, Prado-Galbarro FJ, Perestelo-Perez L, Sanchez-Gomez LM. Electrical impedance tomography for PEEP titration in ARDS patients: a systematic review and meta-analysis. J Clin Monit Comput. 2025; 39(5): 987-97.
doi: 10.1007/s10877-025-01266-2 pmid: 40011398 |
| 14 |
Regli A, Pelosi P, Malbrain MLNG. Ventilation in patients with intra-abdominal hypertension: what every critical care physician needs to know. Ann Intensive Care. 2019; 9(1): 52.
doi: 10.1186/s13613-019-0522-y pmid: 31025221 |
| 15 |
Malbrain MLNG, Roberts DJ, Sugrue M, De Keulenaer BL, Ivatury R, Pelosi P, et al. The polycompartment syndrome: a concise state-of-the-art review. Anaesthesiol Intensive Ther. 2014; 46(5): 433-50.
doi: 10.5603/AIT.2014.0064 pmid: 25432560 |
| 16 |
Talmor D, Sarge T, O’Donnell CR, Ritz R, Malhotra A, Lisbon A, et al. Esophageal and transpulmonary pressures in acute respiratory failure. Crit Care Med. 2006; 34(5): 1389-94.
doi: 10.1097/01.CCM.0000215515.49001.A2 pmid: 16540960 |
| 17 | Krebs J, Pelosi P, Rocco PRM, Hagmann M, Luecke T. Positive end-expiratory pressure titrated according to respiratory system mechanics or to ARDSNetwork table did not guarantee positive end-expiratory transpulmonary pressure in acute respiratory distress syndrome. J Crit Care. 2018;48: 433-42. |
| 18 |
Mancilla Asencio C, Berger Fleiszig Z. Intra-abdominal hypertension: a systemic complication of severe acute pancreatitis. Medicina. 2022; 58(6): 785.
doi: 10.3390/medicina58060785 |
| 19 |
Songsangvorn N, Xu YH, Lu C, Rotstein O, Brochard L, Slutsky AS, et al. Electrical impedance tomography-guided positive end-expiratory pressure titration in ARDS: a systematic review and meta-analysis. Intensive Care Med. 2024; 50(5): 617-31.
doi: 10.1007/s00134-024-07362-2 pmid: 38512400 |
| 20 |
Serpa Neto A, Deliberato RO, Johnson AEW, Bos LD, Amorim P, Pereira SM, et al. Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts. Intensive Care Med. 2018; 44(11): 1914-22.
doi: 10.1007/s00134-018-5375-6 pmid: 30291378 |
| 21 |
González-Castro A, Medina Villanueva A, Escudero-Acha P, Fajardo Campoverdi A, Gordo Vidal F, Martin-Loeches I, et al. Comprehensive study of mechanical power in controlled mechanical ventilation: Prevalence of elevated mechanical power and component analysis. Med Intensiva. 2024; 48(3): 155-64.
doi: 10.1016/j.medin.2023.10.006 |
| [1] | Hui Chen, Yuanhua Lu, Songjie Bai, Yang Li, Tao Wang, Long Cai, Xinyi Yang, Yang Fang, Jianguo Wan, Yaqun Tang, Wenqiang Tao, Meiling Huang, Wei Zhong, Fen Liu, Kejian Qian. Stress-hyperglycemia ratio and glycemic variability predict severity and mortality in sepsis-associated acute respiratory distress syndrome [J]. World Journal of Emergency Medicine, 2026, 17(3): 250-257. |
| [2] | Jie Gao, Taiwen Rao, Yulin Li, Wenjie Gu, Qin Lu. Acute lung injury induced by traumatic hemorrhagic shock: pathogenesis, biomarkers and therapeutic perspectives [J]. World Journal of Emergency Medicine, 2025, 16(6): 532-542. |
| [3] | Weichao Ding, Wei Zhang, Juan Chen, Mengmeng Wang, Yi Ren, Jing Feng, Xiaoqin Han, Xiaohang Ji, Shinan Nie, Zhaorui Sun. Protective mechanism of quercetin in alleviating sepsis-related acute respiratory distress syndrome based on network pharmacology and in vitro experiments [J]. World Journal of Emergency Medicine, 2024, 15(2): 111-120. |
| [4] | Yu-qing Cui, Xian-fei Ding, Huo-yan Liang, Dong Wang, Xiao-juan Zhang, Li-feng Li, Quan-cheng Kan, Le-xin Wang, Tong-wen Sun. Efficacy and safety of low-dose corticosteroids for acute respiratory distress syndrome: A systematic review and meta-analysis [J]. World Journal of Emergency Medicine, 2021, 12(3): 207-213. |
| [5] | Hao-tian Chen, Jian-feng Xu, Xiao-xia Huang, Ni-ya Zhou, Yong-kui Wang, Yue Mao. Blood eosinophils and mortality in patients with acute respiratory distress syndrome: A propensity score matching analysis [J]. World Journal of Emergency Medicine, 2021, 12(2): 131-136. |
| [6] | Yi Han, Su-cheng Mu, Jian-li Wang, Wei Wei, Ming Zhu, Shi-lin Du, Min Min, Yun-jie Xu, Zhen-ju Song, Chao-yang Tong. MicroRNA-145 plays a role in mitochondrial dysfunction in alveolar epithelial cells in lipopolysaccharide-induced acute respiratory distress syndrome [J]. World Journal of Emergency Medicine, 2021, 12(1): 54-60. |
| [7] | Yu-ming Wang, Yan-jun Zheng, Ying Chen, Yun-chuan Huang, Wei-wei Chen, Ran Ji, Li-li Xu, Zhi-tao Yang, Hui-qiu Sheng, Hong-ping Qu, En-qiang Mao, Er-zhen Chen. Effects of fluid balance on prognosis of acute respiratory distress syndrome patients secondary to sepsis [J]. World Journal of Emergency Medicine, 2020, 11(4): 216-222. |
| [8] | Hui Xie, Zhi-gang Zhou, Wei Jin, Cheng-bin Yuan, Jiang Du, Jian Lu, Rui-lan Wang. Ventilator management for acute respiratory distress syndrome associated with avian influenza A (H7N9) virus infection: A case series [J]. World Journal of Emergency Medicine, 2018, 9(2): 118-124. |
| [9] | Ruo Wu, Shi-yun Lin, Hui-min Zhao. Albuterol in the treatment of acute respiratory distress syndrome: A meta-analysis of randomized controlled trials [J]. World Journal of Emergency Medicine, 2015, 6(3): 165-171. |
| [10] | Yuan-zhuo Chen, Shu-ying Yan, Yan-qing Chen, Yu-gang Zhuang, Zhao Wei, Shu-qin Zhou, Hu Peng. Noninvasive monitoring of intra-abdominal pressure by measuring abdominal wall tension [J]. World Journal of Emergency Medicine, 2015, 6(2): 137-141. |
| [11] | Rui-lan Wang, Kan Xu, Kang-long Yu, Xue Tang, Hui Xie. Effects of dynamic ventilatory factors on ventilator-induced lung injury in acute respiratory distress syndrome dogs [J]. World Journal of Emergency Medicine, 2012, 3(4): 287-293. |
| [12] | Xiao-yan Wu, Ying-zi Huang, Huo-gen Liu, Dong-ya Huang, Rui Tang, Hai-bo Qiu. Effects of pulmonary stretch reflex on lung injury in rabbits with acute respiratory distress syndrome [J]. World Journal of Emergency Medicine, 2011, 2(4): 296-301. |
| [13] | Jian-guo Zhang, Xiao-juan Chen, Fen Liu, Zhen-guo Zeng, Ke-jian Qian. Lung recruitment maneuver effects on respiratory mechanics and extravascular lung water index in patients with acute respiratory distress syndrome [J]. World Journal of Emergency Medicine, 2011, 2(3): 201-205. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
