S4 Intermuscular Adipose Tissue is Associated With the Severity of Acute Pancreatitis in Hospitalized Patients

医学 脂肪组织 急性胰腺炎 腹部 回顾性队列研究 内科学 优势比 逻辑回归 肥胖 外科 胃肠病学
作者
Pedro Cortés,Tyler Mistretta,Brittany Jackson,Ahmed Salih,Caroline Olson,Panagiotis Korfiatis,Jason R. Klug,Fernando Stancampiano,Dana M. Harris,Jennifer Echols,Rickey E. Carter,Baoan Ji,Heather Hardway,Michael B. Wallace,Vivek Kumbhari,Yan Bi
出处
期刊:The American Journal of Gastroenterology [American College of Gastroenterology]
卷期号:118 (10S): S3-S5
标识
DOI:10.14309/01.ajg.0000949656.54534.a3
摘要

Introduction: The clinical utility of body composition in predicting the severity of acute pancreatitis (AP) remains unclear. We measured body composition using artificial intelligence to describe its association with AP severity in hospitalized patients. Methods: We performed a retrospective study of patients hospitalized with AP at 3 tertiary care centers in 2018. Patients with CT imaging of the abdomen at admission were included. A fully automated abdominal segmentation algorithm developed by Weston et al (Radiology 2019) was used for body composition analysis (Figure 1). The primary outcome was severe AP, which was defined as having persistent single- or multi-organ failure as per the revised Atlanta classification. Multivariable logistic regression analysis was used. Results: Three hundred and fifty-two patients (median age 57.9 years, 60% male, 43% obesity) were included (Table 1). Severe AP occurred in 35 patients (9.9%). After adjusting for male sex and first episode of AP, only the intermuscular adipose tissue (IMAT) was significantly associated with severe AP, P= 0.0207. For every 5 cm2 increase in IMAT, there was an associated 6% increased odds of severe AP. Subcutaneous adipose tissue (SAT) approached significance, OR = 1.05, P= 0.17. Neither visceral adipose tissue (VAT) or skeletal muscle (SM) was associated with severe AP. In patients with obesity, SM was associated with severe AP at P= 0.009 in unadjusted analysis. Seventy-four patients had pre- and admission-CT scans to compare body composition (median time between scans: 80 days, IQR: 34-114). Only the SAT had a significant change at admission, P= 0.0291, while VAT had a trend but did not reach significance, P= 0.0558. A 5% increase or decrease from baseline in SM, SAT, VAT, or IMAT on admission were not associated with the severity of AP. Conclusion: In this multi-site retrospective study, we found an elevated IMAT was associated with severe AP regardless of etiology. Although SAT was non-significant, it approached significance. Neither VAT nor SM were significant. IMAT has been reported to be strongly associated with metabolic syndrome, serum lipid levels, aging and sarcopenia. A possible mechanism may involve the pro-inflammatory effects of IMAT increasing the risk of the systemic inflammatory response syndrome in AP. Further research in larger prospective studies is needed.Figure 1.: Axial Cross-Sectional Images at L1 Vertebrae of Patients with Severe Acute Pancreatitis (AP) to Measure Body Composition. Subcutaneous Adipose Tissue (Blue), Visceral Adipose Tissue (Green), Intermuscular Adipose Tissue (Yellow) and Subcutaneous Muscle (Grey). A. Patient with normal body mass index (BMI) and necrotizing AP. B. Patient with overweight and necrotizing AP. C. Patient with class I obesity and necrotizing AP. D. Patient with class II obesity with non-necrotizing fatal AP. Table 1. - Baseline Characteristics According to Acute Pancreatitis Severity and Multivariable Logistic Regression Analysis to Predict Severe Acute Pancreatitis Demographics All PatientsN=352 MildN=251 ModerateN=66 SevereN=35 P value Multivariable Logistic† OR (95% CI) P value Age at admission, per 10 years 57.9 (43.3-69.8) 56.8 (41.6-67.8) 63.9 (52.3-80.6) 55.9 (44.4-69.6) 0.006 1.00 (0.81-1.22) 0.97 Male Sex 213 (60.5%) 149 (59.4%) 37 (56.1%) 27 (77.1%) 0.096 2.31 (1.06-5.62) 0.0460 White Race 317 (90.1%) 220 (87.6%) 62 (93.9%) 35 (100.0%) 0.026 NA NA Body Surface Area, per 0.25 m2 2.0 (1.8-2.2) 2.00 (1.82-2.22) 1.95 (1.78-2.20) 2.20 (1.98-2.35) 0.016 1.25 (0.93-1.68) 0.13 Body Mass Index, per 5 kg/m2 28.8 (25.3-33.4) 28.7 (24.8-33.4) 28.5 (25.8-31.7) 31.9 (27.3-35.9) 0.135 1.14 (0.90-1.44) 0.28 Obesity 152 (43.2%) 110 (43.8%) 21 (31.8%) 21 (60.0%) 0.023 2.01 (0.97-4.16) 0.0588 Smoking, never 136 (38.6%) 99 (39.4%) 25 (37.9%) 12 (34.3%) 0.849 0.86 (0.40-1.83) 0.69 Moderate alcohol use 147/313 (46.8%) 104/223 (46.6%) 26/61 (42.6%) 17/30 (56.7%) 0.462 1.31 (0.60-2.89) 0.50 Vital Signs and Labs Systolic Blood Pressure, per 10 mmHg 138 (124-158) 139 (125-158) 136 (121-151) 142 (114-170) 0.565 1.00 (0.86-1.17) 0.97 Diastolic Blood Pressure, per 10 mmHg 82 (71-94) 84 (72-96) 79 (70-88) 76 (67-93) 0.018 0.86 (0.67-1.09) 0.21 Mean Arterial Pressure, per 5 mmHg 101 (89-115) 102 (91-115) 99 (87-107) 98 (87-117) 0.121 0.95 (0.85-1.07) 0.42 Heart Rate, per 10 beats per minute 86 (72-101) 86 (73-98) 86 (73-102) 87 (68-114) 0.980 1.07 (0.88-1.31) 0.50 SIRS positive 111/201 (55.2%) 75/142 (52.8%) 20/34 (58.8%) 16/25 (64.0%) 0.537 1.45 (0.60-3.53) 0.41 White Blood Cells, per 1 x 109/L 12.0 (8.9-14.5) 11.7 (8.9-14.1) 12.7 (8.6-15.9) 14.0 (9.1-16.7) 0.160 1.08 (1.01-1.16) 0.0198 Hematocrit, per 5 % 41.4 (38.1-44.1) 41.5 (38.5-44.2) 39.7 (36.3-43.0) 42.6 (34.9-45.6) 0.052 0.91 (0.66-1.27) 0.59 Hemoglobin, per 1 g/dL 14.0 (12.9-15.2) 14.1 (13.1-15.3) 13.4 (12.2-14.6) 14.4 (11.6-15.7) 0.027 0.89 (0.75-1.06) 0.18 MCV, per 10 fL 90.6 (87.8-95.0) 90.3 (87.4-94.3) 90.9 (88.0-95.1) 94.6 (90.5-95.9) 0.010 2.39 (1.39-4.13) 0.0017 Platelets, per 50 x 109/L 231 (176-283) 232 (177-287) 232 (182-266) 199 (160-289) 0.347 0.95 (0.77-1.16) 0.61 Sodium, per 1 mmol/L 138 (136-141) 139 (136-141) 138 (135-141) 138 (136-141) 0.430 0.97 (0.88-1.06) 0.49 BUN, per 1 mg/dL 14 (10-21) 13 (10-18) 18 (13-28) 17 (12-28) < 0.001 1.04 (1.02-1.06) 0.0008 Total Bilirubin, per 1 mg/dL 0.8 (0.5-1.4) 0.8 (0.4-1.2) 0.8 (0.5-1.7) 1.1 (0.6-2.3) 0.017 1.09 (0.91-1.30) 0.36 Direct Bilirubin, per 1 mg/dL 0.5 (0.2-1.5) 0.3 (0.2-1.1) 0.8 (0.4-2.1) 0.7 (0.4-2.6) 0.013 1.09 (0.86-1.40) 0.47 Lipase, per 100 U/L 498 (161-600) 441 (142-600) 473 (189-600) 600 (361-1224) 0.016 1.01 (0.99-1.03) 0.26 Pancreatitis First episode 210 (59.7%) 149 (59.4%) 34 (51.5%) 27 (77.1%) 0.042 2.41 (1.10-5.85) 0.0364 Alcohol, etiology 101 (28.7%) 69 (27.5%) 14 (21.2%) 18 (51.4%) 0.006 3.16 (1.51-6.64) 0.0024 Gallstone, etiology 87 (24.7%) 60 (23.9%) 17 (25.8%) 10 (28.6%) 0.763 1.15 (0.51-2.59) 0.73 Idiopathic, etiology 87 (24.7%) 65 (25.9%) 17 (25.8%) 5 (14.3%) 0.323 0.52 (0.20-1.41) 0.20 Other, etiology 77 (21.9%) 57 (22.7%) 18 (27.3%) 2 (5.7%) 0.023 0.19 (0.05-0.83) 0.0270 Necrotizing 40 (11.4%) 19 (7.6%) 3 (4.5%) 18 (51.4%) < 0.001 14.04 (6.18-31.90) < 0.0001 Metabolic Comorbidities Hypertension 224/300 (74.7%) 149/210 (71.0%) 54/62 (87.1%) 21/28 (75.0%) 0.032 0.89 (0.36-2.22) 0.80 Diabetes 84 (23.9%) 61 (24.3%) 16 (24.2%) 7 (20.0%) 0.899 0.93 (0.38-2.27) 0.88 Hyperlipidemia 183/300 (61.0%) 121/210 (57.6%) 44/62 (71.0%) 18/28 (64.3%) 0.156 1.05 (0.46-2.42) 0.90 Metabolic Conditions, per 1 conditionϮ 2 (1-2) 2 (1-2) 2 (1-3) 2 (1-3) 0.024 1.02 (0.67-1.58) 0.91 ≥ 1 condition 265/300 (88.3%) 183/210 (87.1%) 57/62 (91.9%) 25/28 (89.3%) 0.616 0.90 (0.26-3.25) 0.88 ≥ 2 conditions 179/300 (59.7%) 118/210 (56.2%) 45/62 (72.6%) 16/28 (57.1%) 0.064 0.82 (0.37-1.82) 0.62 ≥ 3 conditions 68/300 (22.7%) 39/210 (18.6%) 21/62 (33.9%) 8/28 (28.6%) 0.030 1.61 (0.66-3.93) 0.29 Body Composition* SM Area, per 10 cm2 73.2 (62.6-84.2) 74.1 (62.9-84.3) 65.6 (58.9-75.1) 81.6 (68.9-92.4) < 0.001 1.19 (0.89-1.58) 0.24 SM Mean HU, per 1 HU 33.7 (26.2-40.2) 35.2 (29.0-40.8) 29.3 (21.1-35.5) 32.2 (24.9-39.9) < 0.001 0.98 (0.94-1.01) 0.17 SAT Area, per 10 cm2 114.5 (85.6-156.4) 114.5 (83.2-157.5) 117.3 (92.7-152.7) 108.3 (95.9-164.4) 0.824 1.05 (0.98-1.14) 0.17 SAT Mean HU, per 1 HU -92.3 (-98.3- -83.4) -92.4 (-97.5- -83.9) -93.0 (-99.9- -80.8) -91.9 (-97.7- -79.1) 0.635 1.01 (0.99-1.03) 0.52 VAT Area, per 10 cm2 99.6 (59.4-140.3) 97.4 (54.6-137.4) 102.8 (67.7-132.9) 109.6 (77.2-151.0) 0.164 1.03 (0.96-1.10) 0.48 VAT Mean HU, per 1 HU -87.3 (-92.4- -79.6) -87.7 (-92.1- -80.0) -85.4 (-96.3- -78.5) -85.4 (-90.1- -79.4) 0.776 1.01 (0.97-1.05) 0.62 IMAT Area, per 5 cm2 11.4 (8.6-15.1) 10.8 (8.2-14.1) 13.3 (11.0-17.5) 11.8 (10.2-17.1) < 0.001 1.06 (1.01-1.11) 0.0207 IMAT Mean HU, per 1 HU -59.0 (-61.3- -56.7) -58.7 (-60.8- -56.7) -60.0 (-62.2- -57.6) -59.1 (-61.3- -55.8) 0.100 0.99 (0.90-1.09) 0.81 OR, odd ratio, CI, confidence interval; SIRS, systemic inflammatory response syndrome; MCV, mean corpuscular volume; BUN, blood urea nitrogen; SM, skeletal muscle; SAT, subcutaneous adipose tissue; VAT, visceral adipose tissue; IMAT, intermuscular adipose tissue; HU, Hounsfield units. Reference ranges: hematocrit, 38.3-48.6%, hemoglobin, 13.2-16.6 g/dL, MCV, 78.2-97.9 fL; platelets, 135 – 317 x 109 /L; sodium, 135-145 mmol/L; BUN, 8-24 mg/dL; total bilirubin, ≤ 1.2 mg/dL; direct bilirubin, 0.0-0.3 mg/dL; lipase, 13-60 U/L.ϮMetabolic conditions included hypertension, diabetes, or prediabetes (treated mutually exclusive), hyperlipidemia, or fatty liver. Due to the high number of missing data for fatty liver, it was not included in the analysis.*Areas for skeletal muscle (SM), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and intermuscular adipose tissue (IMAT) are corrected for body surface area (BSA), calculated using the Mosteller formula. Mean HU is not corrected as it is a relative quantitative measurement of radio density, which is independent of BSA.† Multivariable models to predict severe AP were adjusted for male sex and first episode of acute pancreatitis. The odd ratios for Male sex and first episode of acute pancreatitis in the multivariable logistic regressions were estimated using a 2-variable model constructed with those variables. The odd ratio for White Race was unable to be estimated given the zero count.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
凉茶完成签到,获得积分10
1秒前
yue发布了新的文献求助10
1秒前
1秒前
小蘑菇应助早日发文章采纳,获得10
1秒前
充电宝应助儒雅的凤凰采纳,获得10
1秒前
Lucas应助小饼干采纳,获得10
2秒前
Zw完成签到,获得积分10
2秒前
2秒前
OK啦发布了新的文献求助10
2秒前
呐呐呐发布了新的文献求助10
3秒前
Zhao发布了新的文献求助10
3秒前
万能图书馆应助花花采纳,获得10
3秒前
小马甲应助seven采纳,获得10
3秒前
易千妤发布了新的文献求助10
4秒前
XIAOBAI完成签到,获得积分10
4秒前
4秒前
xiuwenli发布了新的文献求助10
4秒前
11完成签到,获得积分10
4秒前
舒心的斩完成签到,获得积分10
4秒前
4秒前
5秒前
hh发布了新的文献求助10
5秒前
kunkun完成签到,获得积分10
5秒前
qindanyan发布了新的文献求助10
5秒前
6秒前
cc完成签到,获得积分20
6秒前
Owen应助ljw采纳,获得10
6秒前
科研通AI6.3应助柚子采纳,获得10
6秒前
liuguoqing完成签到 ,获得积分10
6秒前
彭于晏应助欣喜紫霜采纳,获得10
6秒前
树懒完成签到,获得积分10
7秒前
7秒前
文慧发布了新的文献求助10
7秒前
研友_Lw7QmL完成签到,获得积分10
7秒前
king发布了新的文献求助10
7秒前
sherif完成签到,获得积分10
7秒前
7秒前
Novermber发布了新的文献求助30
8秒前
9秒前
啦啦啦发布了新的文献求助10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Short-Wavelength Infrared Windows for Biomedical Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6060454
求助须知:如何正确求助?哪些是违规求助? 7892926
关于积分的说明 16303638
捐赠科研通 5204511
什么是DOI,文献DOI怎么找? 2784428
邀请新用户注册赠送积分活动 1767022
关于科研通互助平台的介绍 1647334