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 [Lippincott Williams & Wilkins]
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
噼里啪啦完成签到,获得积分10
1秒前
wbshore完成签到,获得积分10
2秒前
YY完成签到,获得积分10
4秒前
chuzihang完成签到 ,获得积分10
4秒前
852发布了新的文献求助20
4秒前
qin完成签到,获得积分10
5秒前
老实幻姬完成签到,获得积分10
6秒前
zombleq完成签到 ,获得积分10
7秒前
激流勇进wb完成签到 ,获得积分10
7秒前
科研通AI6.4应助jiage123采纳,获得10
7秒前
南宫硕完成签到 ,获得积分10
9秒前
牛犇完成签到,获得积分10
9秒前
明理的踏歌完成签到,获得积分10
10秒前
lcy完成签到 ,获得积分10
11秒前
幺幺咔完成签到 ,获得积分10
13秒前
苹果完成签到 ,获得积分10
14秒前
张sir完成签到,获得积分10
17秒前
AFF完成签到,获得积分10
17秒前
木香完成签到,获得积分10
18秒前
热可可728完成签到,获得积分10
18秒前
优雅沛文完成签到 ,获得积分10
20秒前
辛勤誉完成签到,获得积分10
23秒前
赘婿应助xiaowang采纳,获得10
26秒前
lx840518完成签到 ,获得积分10
28秒前
roclie完成签到,获得积分10
28秒前
laa完成签到,获得积分10
29秒前
31秒前
西柚柠檬完成签到 ,获得积分10
31秒前
LiuZhaoYuan完成签到,获得积分10
32秒前
仝富贵完成签到,获得积分10
33秒前
一一完成签到 ,获得积分10
34秒前
㊣㊣完成签到,获得积分10
35秒前
贪玩心情完成签到,获得积分10
37秒前
lt完成签到,获得积分10
37秒前
XuChaogang完成签到 ,获得积分10
38秒前
uuuu完成签到,获得积分10
38秒前
夜信完成签到,获得积分10
38秒前
无足鸟完成签到,获得积分10
39秒前
冷傲幻梅完成签到,获得积分10
39秒前
阿南完成签到 ,获得积分0
39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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6498075
求助须知:如何正确求助?哪些是违规求助? 8294052
关于积分的说明 17696755
捐赠科研通 5593940
什么是DOI,文献DOI怎么找? 2917557
邀请新用户注册赠送积分活动 1894486
关于科研通互助平台的介绍 1755041