Mean muscle attenuation correlates with severe acute pancreatitis unlike visceral adipose tissue and subcutaneous adipose tissue

Abstract

Background

Acute pancreatitis (AP) is a frequent disorder with considerable morbidity and mortality. Obesity has previously been reported to influence disease severity.

Objective

The aim of this study was to investigate the association of adipose and muscle parameters with the severity grade of AP.

Methods

In total 454 patients were recruited. The first contrast-enhanced computed tomography of each patient was reviewed for adipose and muscle tissue parameters at L3 level. Associations with disease severity were analysed through logistic regression analysis. The predictive capacity of the parameters was investigated using receiver operating characteristic (ROC) curves.

Results

No distinct variation was found between the AP severity groups in either adipose tissue parameters (visceral adipose tissue and subcutaneous adipose tissue) or visceral muscle ratio. However, muscle mass and mean muscle attenuation differed significantly with p-values of 0.037 and 0.003 respectively. In multivariate analysis, low muscle attenuation was associated with severe AP with an odds ratio of 4.09 (95% confidence intervals: 1.61–10.36, p-value 0.003). No body parameter presented sufficient predictive capability in ROC-curve analysis.

Conclusions

Our results demonstrate that a low muscle attenuation level is associated with an increased risk of severe AP. Future prospective studies will help identify the underlying mechanisms and characterise the influence of body composition parameters on AP.

Keywords

Acute pancreatitis severity visceral adipose tissue mean muscle attenuation muscle mass

Key summary

Established knowledge

Acute pancreatitis is one of the most frequent gastrointestinal disorders implicating patient suffering and economical burden on healthcare systems;

Studies on the association between obesity and severity of acute pancreatitis have yielded heterogeneous results.

New findings

In this large European cohort, muscle mass and muscle attenuation are important parameters for the outcome of acute pancreatitis;

No association between visceral fat parameters and severity of acute pancreatitis was found in multivariate analysis;

None of the body parameters are useful as predictive markers for severe disease.

Introduction

Acute pancreatitis (AP) is one of the most frequent diagnoses among gastrointestinal disorders requiring hospitalisation.¹ The course of the disease varies substantially, from self-restricting without complications to multi-organ failure and considerable risk of death. Multiple prognostic scoring systems, both clinical and radiological, have been developed, however none with sufficient predictive capacity.² Furthermore, the key steps of the pathophysiological mechanisms underlying AP are to a large extent unknown.

Multiple reports have demonstrated an association between obesity and worse outcome of AP.^3–5 Body mass index (BMI) has been used as a surrogate for obesity, with high BMI considered an independent and established risk factor for severe AP.^6,7 BMI has also been proposed as a prognostic variable to be included in scoring systems.⁸ However, in more recent studies the impact of BMI has not been confirmed.⁹ Rather, it seems to be the individual distribution of corporal fat that influences the outcome in AP.^10–12

The pancreas is surrounded by visceral adipose tissue (VAT). As pro-inflammatory cytokines are secreted by VAT during AP, VAT has been suggested to be a major factor in the devolvement of peripancreatic necrosis.¹³ Release of unsaturated fatty acids induce necrosis, systemic inflammation and organ failure.¹⁴ The secretion is significantly greater in the VAT than in the subcutaneous adipose tissue (SAT).¹⁵ Nevertheless, there are several reports where no association between VAT, SAT and severity of AP was found.^5,16–18

It is well known that sarcopenia, regardless of patient BMI, has been associated with poor prognosis and increased risk of complications and morbidity in cancer patients.¹⁹ The influence of muscle parameters such as muscle mass (MM), mean muscle attenuation (MMA) and visceral muscle ratio (VMR) on disease outcome has not been thoroughly analysed in AP with only a few papers published.^16,17

In summary the results of previous works are heterogeneous and for certain parameters the number of studies is insufficient for making general conclusions.

Through this large European multicentre study we aimed to assess the significance of adipose and muscle parameters in the severity development of AP.

Materials and methods

Patients

Patients for this study were identified through a post hoc analysis of an established European multicentre cohort (involving six centres: Lund, Sweden; Helsinki, Finland; Barcelona, Spain; Tallinn, Estonia; Kaunas, Lithuania and Sofia, Bulgaria) as well as additional patients from two German centres (Halle and Leipzig).²⁰ In all centres, patients older than 18 years with a first episode of AP were retrospectively and consecutively enrolled. In the original six European centres patients were identified from January 2012 to January 2013, and in the two German centres the inclusion period was from January 2010 to January 2016. AP was defined by fulfilment of at least two out of three criteria: acute upper abdominal pain, serum amylase ≥3 times the upper limit, or characteristic findings on computed tomography (CT). At each centre in the European cohort 50 AP patients in whom at least one contrast-enhanced CT (CECT) was performed were included. In the German centres all available AP patients with at least one CECT within the investigated time frame were recruited. Severity of AP was assessed according to the revised Atlanta criteria.²¹ Patients were classified as mild (no complications), moderately severe (organ failure for less than 48 h, defined morphological findings on CT or deterioration of a previous comorbidity) and severe AP (organ failure for more than 48 h).

Patients with known chronic pancreatitis, signs of chronic pancreatitis on CECT or with a CECT of insufficient quality were excluded. Ethical approval was obtained at the Martin Luther University of Halle-Wittenberg (date 21 July 2018, Bearbeitungsnummer 2017-96, Ethik-Kommission Medizinsche Fakultät, Martin Luther Universität Halle-Wittenberg). Due to the retrospective nature of the study and anonymisation of all data no informed consent was requested. The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki (6^th revision, 2008).

Body composition parameters

The first CECT performed after onset of AP was retrieved for all patients. Adipose tissue and muscle parameters were measured using DCMtool and OsiriXLite v9.0 (Pixmeo SARL, Geneva, Switzerland) for which excellent inter-observer agreement has previously been found.²² A cross-sectional slice at the level of the L3 vertebra body was selected, and regions of interest (ROI) including the compartments of muscles and adipose tissue were drawn manually (see Figure 1). Visible peripancreatic necrosis and stranding extending to this area were present only in rare cases and thus not excluded from the measurements. Within the ROIs tissue was selected by the specific ranges −190 to −30 Hounsfield units (HU) for adipose tissue and −30 to 150 for muscle tissue, as reported earlier.²³ For visualisation of the separate ROIs see Supplementary Figure 1, A–E. VMR equals MM/VAT. The mean muscle attenuation (MMA) was extracted from the histogram in the range of −29 to +150 HU (see illustrative histogram in Supplementary Figure 1, A–E). As the measurement of myosteatosis is influenced by the CT phase, solely CTs performed in the native or venous phases were used for this analysis.²⁴ All analyses were performed by two independent investigators (MJM and LEK) together with a radiologist specialised in gastroenterological radiology (NL). To test the inter-observer variability of the analyses, a randomised sub selection of 35 CECTs (7.7% of the total cohort) was analysed a second time by MJM in a blinded manner. Inter-observer agreement coefficients were between 0.873 and 1.0 for all parameters, with a mean coefficient value of 0.954.

Figure 1.

Regions of interest (ROI) of the distinct body compartments were visualised and defined by DCMTool. In (a) compartments for fat measurements are shown. The subcutaneous compartment is located between the blue lines. The visceral compartment resides within the green line. In (b) muscle compartments are demonstrated. Abdominal muscles are highlighted in blue, the Psoas muscle in red, and the muscles of the back in green. For more details of the measurements see Supplementary Figure 1 A-E.

Statistical analysis

Data is presented as absolute numbers and percentages for categorical variables, and as median and interquartile range (IQR) for continuous variables. Categorical variables were compared using the chi-square test and Mann–Whitney U for continuous data. As normality was not assumed, the Mann–Whitney U or the Kruskal–Wallis tests were performed for comparison between groups. Possible associations between measured parameters and severe AP were investigated through univariate and multivariate logistic regression analysis. In multivariate analysis the data was adjusted for gender and age, where the latter was dichotomised at the upper IQR level (73 years). In addition, in both univariate and multivariate analysis the body composition parameters were separated into three groups (tertiles) based on the lowest, middle and highest IQR level of each parameter. Results of the regression analysis are presented as odds ratios (ORs) and adjusted odds ratios (aORs) with corresponding 95% confidence intervals (CIs) and p-values. To test the predictive capacity of the measured parameters receiver operating characteristic (ROC) curves with corresponding areas under the curves were performed. In all analysis a p-value of ≤0.05 was considered statistically significant.

All calculations were performed using the SPSS statistics software version 24 (IBM Corp., Armonk, NY, USA).

Results

Patients

In total, 454 patients (58.1% males) were enrolled. Baseline characteristic data of all patients is summarised in Table 1. A majority of the patients (49.6%) had a moderately severe disease course. There were no significant differences in age or BMI between the severity grades. Biliary-caused pancreatitis was the most common aetiology (41.6%). Transient or persistent organ failure developed in 25.1% of the patients and overall mortality was 6.6% (30 patients).

Table 1.

Patient characteristics.

	Total	Mild	Moderately severe	Severe
	N = 454	N = 163 (35.9%)	N = 225 (49.6%)	N = 66 (14.5%)
Gender (%)
Male	264 (58.1)	92 (34.8)	132 (50.0)	40 (15.2)
Female	190 (41.9)	71 (37.4)	93 (48.9)	26 (13.7)
Age (years)*	60 (46–73)	63.0 (49–74)	56 (43–68)	63 (48–77)
BMI (kg/m²)*	27.7 (24.8–31.1)	27.7 (24.8–31.0)	27.8 (24.8–31.1)	27.5 (24.3–30.8)
Aetiology (%^#)
Biliary	189 (41.6)	74 (45.4)	96 (42.7)	19 (28.1)
Alcohol	135 (29.7)	40 (24.5)	73 (32.4)	22 (33.3)
Idiopathic	93 (20.5)	36 (22.1)	44 (19.6)	13 (19.7)
Others	37 (8.1)	13 (7.0)	12 (5.3)	12 (18.2)
Organ failure (%)	114 (25.1)	0	48 (42.1)	66 (100)
Mortality (%)	30 (6.6)	1 (0.6)	4 (1.8)	25 (37.9)
Timing of CT (days)*	3 (1–7)	3 (1–5)	4 (1–9)	3 (1–7)

Note: *Values are in median (IQR).

^#Distribution of aetiologies among severity groups.

BMI = body mass index (kg/m²).

Muscle and adipose parameters

Among the 454 CTs analysed, 183 were performed in the native-, 243 in the venous- and 28 in the arterial phase. No significant difference was found between the phases either for the two adipose tissue parameters (VAT and SAT) or two of the three muscle tissue parameters (MM and VMR). As described in the Methods section, the analysis of MMA solely included native and venous CTs. Median time from admission to CT was 3 days (IQR 1–7) with no significant difference between severity groups.

Table 2 presents median values and IQRs of the measured variables. For VAT, SAT and VMR no distinct variation was found between the groups with mild, moderately severe or severe AP. For MM and MMA the differences were significant with p-values of 0.037 and 0.003 respectively. Gender-specific median values for men were VAT: 252.6 (IQR 173.0–335.3) cm², SAT: 181.5 (IQR 132.7–235.9) cm², MM: 152.2 (IQR 132.0–170.3) cm², MMA: 32.2 (IQR 24.4–38.6) HU and VMR: 1.64 (IQR 1.20–2.18) cm². Corresponding values for women were VAT: 171.1 (IQR 111.7–232.5) cm², SAT: 260.1 (IQR 183.1–345.2) cm², MM: 104.6 (IQR 92.7–116.7) cm², MMA 25.4 (IQR 19.5–32.9) HU and VMR: 1.65 (IQR 1.05–2.18) cm². The gender variations differed significantly (p < 0.0001) for all parameters but for VMR where no disparity was found.

Table 2.

Association between body composition parameters and severity of acute pancreatitis.

	All	Mild	Moderately severe	Severe	p-value
VAT
Median	217.3	221.2	208.1	238.8	0.10^a
IQR	139.7–290.5	144.9–283.6	131.7–287.5	172.1–333.5
SAT
Median	209.2	204.5	213.5	212.0	0.97^a
IQR	145.0– 285.1	151.9 – 274.8	141.6 – 289.6	144.8 – 281.6
MM
Median	129.5	126.6	130.0	136.9	0.037^a
IQR	105.3–158.6	100.1–153.4	108.0–160.1	108.1–169.4
MMA
Median	29.3	29.8	29.6	23.4	0.003^a
IQR	22.2–36.6	22.4–37.8	23.2–37.1	18.3–32.1
VMR
Median	1.64	1.76	1.57	1.73	0.14^a
IQR	1.14–2.18	1.14–2.23	1.04–2.11	1.27–2.38

Note: VAT = visceral adipose tissue; SAT = subcutaneous adipose tissue; MM = muscle mass; MMA = mean muscle attenuation; VMR = visceral muscle ratio; VAT, SAT, MM and VMR in cm², MMA in HU.

Kruskal–Wallis test.

Additional analysis was performed for the temporal impact of AP on the corporal parameters. For 41 consecutive CTs (first CT versus second CT) body parameter measurements were compared. Significant differences were found in the moderately severe group for VAT (VAT_early mean = 240.1 cm² vs. VAT_late mean = 220.5 cm²; p-value 0.0083) and MM (MM_early mean = 131.2 cm² vs. MM_late mean = 123.8 cm²; p-value 0.0003); see Supplementary Table 1.

Regression analysis

The results from the univariate and multivariate (age and gender adjusted) regression analyses are summarised in Table 3. Age, gender and BMI were in neither analysis associated with severe AP. For VAT and SAT, the lowest tertile was set as reference for the ORs (OR = 1). This approach was chosen as we assumed it was favourable to have less VAT and SAT with regard to the development of severe AP. We likewise expected a higher proportion of muscles to be beneficial for the course of the disease. Thus for the muscle parameters MM, MMA and VMR, the highest tertile is reference (OR = 1). The majority of parameters did not significantly correlate with severe disease. However, significant association with severe AP was found in univariate analysis for the patients with the highest tertile of VAT (OR 2.24, p-value 0.042) and the lowest tertile of MMA (OR 3.446, p-value 0.0004). In multivariate analysis the correlation remained for the MMA tertile (OR 4.09, p-value 0.003). In addition, the patients in the MM mid-tertile group demonstrated a distinctly lower risk (OR 0.496, p-value 0.038) of developing severe AP. Further adjustment of multivariate regression analysis regarding aetiology and time of CT (days) yielded only marginal changes (see Supplementary Table 2).

Table 3.

Univariate and multivariate regression analysis of risk factors for severe acute pancreatitis. Age was dichotomised at 73 years (highest tertile in the IQR).

Logistic regression analysis of risk factors for severe AP
	Univariate OR (95% CI)	p-value	Multivariate aOR (95% CI)	p-value
Gender
Female	1 (ref)
Male	1.126 (0.661–1.920)	0.662	1.217 (0.682–2.172)	0.505
Age
<73 years	1 (ref)
≥73 years	1.609 (0.916–2.824)	0.098	1.495 (0.815–2.745)	0.194
BMI
>25.0	1 (ref)
18.5–24.9	0.998 (0.517–1.863)	0.528	0.981 (0.517–1.863)	0.954
<18.5	0.001 (0.000–0.002)	0.001	0.001 (0.000–0.002)	0.001
VAT
Highest tertile	2.242 (1.031–4.876)	0.042	2.157 (0,953–4.883)	0.065
Mid tertile	1.569 (0.761–3.234)	0.222	1.551 (0.750–3.207)	0.236
Lowest tertile	1 (ref)
SAT
Highest tertile	0.923 (0.420–2.027)	0.841	0.921 (0.395–2.148)	0.848
Mid tertile	0.994 (.508–1.946)	0.987	0.982 (0.499–1.932)	0.958
Lowest tertile	1 (ref)
MM
Highest tertile	1 (ref)
Mid tertile	0.596 (0.324–1.094)	0.095	0.496 (0.256–0.961)	0.038
Lowest tertile	0.625 (0.306–1.094)	0.199	0.432 (0.166– 1.124)	0.085
MMA
Highest tertile	1 (ref)
Mid tertile	1.536 (0.670–3.519)	0.311	1.577 (0.683–3.640)	0.286
Lowest tertile	3.446 (1.468–8.086)	0.0004	4.085 (1.609–10.37)	0.003
VMR
Highest tertile	1 (ref)
Mid tertile	0.921 (0.494–1.714)	0.794	1.025 (0.538–1.954)	0.940
Lowest tertile	0.587 (0.268–1.287)	0.184	0.673 (0.300–1.508)	0.336

Note: OR = odds ratio; VAT = visceral adipose tissue; SAT = subcutaneous adipose tissue; MM = muscle mass; MMA = mean muscle attenuation; VMR = visceral muscle ratio.

Multivariate analysis: results adjusted for age and gender.

ROC curves

For each parameter a ROC curve was performed (see Supplementary Figure 2, A–E) to analyse their predictive capacity. In summary, all areas under the curves were small (range 0.424–0.571) and no cut-off value for severe AP could be retrieved.

Discussion

As obesity increasingly affects healthcare systems worldwide we aimed to investigate possible associations between severe AP and body composition parameters. Our results indicate that MM and muscle attenuation are important parameters for the outcome of AP. We were not able to demonstrate any association between either BMI level or corporal fat parameters and severe AP. Moreover, none of the investigated markers showed any prognostic capability in ROC-curve analysis.

Former studies have, using BMI as a surrogate marker, presented evidence that obesity has a negative impact on the disease course in AP.^3–7 More recent works have investigated other parameters such as VAT and SAT.^10–12 However, results have been contradictory and a correlation between these markers with AP severity is still unclear.^5,18–20,25 Regarding BMI, our data was in line with that of several other studies, demonstrating that BMI in itself does not influence the grade of severity in AP.^3,9,26 In our cohort the very small subgroup (n = 3) of underweight patients (BMI <18 kg/m²) demonstrated a significant association with decreased risk of severe AP (OR 0.001, 95% CI 0–0.002, p-value 0.001). These results, however, lack reliability due to the small sample size. The influence of a very low BMI on the outcome of AP patients needs further investigation.

The impact and relevance of intra-corporal adipose tissue distribution on AP severity has been debated.³ When reviewing previous investigations of VAT and SAT, considerable differences were found compared with our data. Herein, the median value of VAT was 217.3 cm² and 209.2 cm² for SAT. Several studies that demonstrated a correlation between adipose tissue parameters and severe AP also reported lower levels of VAT and SAT in the groups with mild (median levels 80–105 cm²) and moderately severe AP (median levels 89–150 cm²).^10–12 This evident variation compared with our data is interesting, though difficult to explain. Referred works investigated different populations (one American and two Asian) with diverse aetiologies, used various software programs in analyses and, finally, not all followed the same classification of AP. Our results were consistent throughout the European countries and also comparable with a recent publication from the Netherlands investigating the association between CT-assessed body composition with mortality in patients with necrotising pancreatitis, as well as an Australian study on intensive care patients.^16,17 As our methodology is similar to the one in the Dutch study and the median values of VAT and SAT vary considerably between the American and Asian studies, we speculate that the observed variations are based on geographical or ethnical differences. Regarding adipose tissue parameters, several works report similar conclusions to ours^5,16–18; however, these studies differ in both investigated outcomes and set-up, making direct comparison with our findings difficult.

As we observed a correlation of VAT with severity in univariate- (OR 2.24; 95% CI 1.03–4.88; p-value 0.04) but not in multivariate analysis (p-value 0.07) we wondered whether AP itself might influence VAT measurement. The results presented in Supplementary Table 1 and Supplementary Figure 3 demonstrate a significant difference in VAT and MM for the moderately severe group. The decrease in VAT over time in both the moderately severe and severe groups might mirror a general disease-induced reduction in adipose tissue as there is a similar tendency in the SAT group. A direct comparison of the first and second CTs revealed that the measurement of VAT was influenced by parameters like bowel distension, the volume of the thoracic cavity and by fluid collections due to AP. Furthermore, the MM demonstrated a general decline, which might be due to patients being ill and hospitalised and thus in a state of muscle reduction and general oedema. The previously mentioned work from the Netherlands found a correlation with MM depletion during the disease course, which we were able to partially replicate in our consecutive CTs.¹⁶ Nonetheless, it is difficult to make general conclusions in such cases based on retrospective data, and prospective trials with predefined protocols are needed.

The influence of muscle parameter levels has not been extensively investigated in AP. Our analyses depicted a higher MM in severe AP (136.9 cm²) compared with moderately severe (130 cm²) or mild (126.6 cm²) cases (p-value 0.037). These numbers surprised us as low MM generally correlated with worse outcome in diseases. A hypothesis is that the severely ill patients already at a very early stage of the disease demonstrated more fluid sequestration and that oedema consequently influenced the measuring, giving falsely high values. Similarly, in multivariate analysis, lower levels of MM were unexpectedly associated with less severe AP, however, this was significant for the mid-tertile only (p-value 0.038). The lowest tertile for MM presented a p-value of 0.085, which might be due to a lower number of patients creating a type 2 error in this subgroup. The highest tertile of MM was set as reference as we assumed this to be favourable with regard to severity outcome. With our results demonstrating the opposite, despite being adjusted for age and gender, we again think oedema might be an influencing factor. This theory can neither be confirmed in this study, nor have we found any other to compare it with. In the work by Brewster et al., only patients with severe AP were investigated and their level of MM was 167.8 (144.2–203.7) cm², which is in line with our figures.¹⁷ However, patients in the Australian study were younger and no data was provided regarding on what day during the course of the disease the investigated CT was performed.

In our work, a low level of MMA, indicating myosteatosis, demonstrated a strong association with severity (aOR 4.1, 95% CI 1.6–10.4, p-value 0.003). In addition, its measurement was not influenced by the disease course (Supplementary Table 1; p-value 0.215). This observation is, again, partly supported by the study from van Grinsven et al. who analysed the correlation of MMA with mortality in AP patients and found a distinct association in the univariate analysis (OR 2.37, 95% CI 1.43–3.92, p-value 0.001) that, however, was not significant in the multivariate analysis (OR 1.13, 95% CI 0.62–2.08, p-value 0.69).¹⁶ MMA characterises the intramuscular, and not the intermuscular, fat content. Low muscle attenuation has previously been related to poor prognosis and increased risk of complications and morbidity in cancer patients.¹⁹ It has been proposed that fat infiltration underlies reduced muscle attenuation, whereas the composition of the intramuscular accumulated fat is largely unknown. Although myosteatosis has been associated with different pathological conditions, the underlying mechanisms are poorly elucidated making it impossible to explain its impact on severity in AP.

Our study has several limitations. The retrospective nature of the study implicated that there was no exact predefined study protocol for the CECTs, although all centres used equal standard protocols when investigating the pancreas. Moreover, only patients who had a CECT performed were included, potentially introducing selection bias, as patients with a mild disease course but no CECT performed were not enrolled. According to AP guidelines, patients with mild disease do not require a CECT unless another diagnosis needs to be excluded.²⁷ As a result, the group of patients with mild AP is likely to be smaller in radiology studies, as well as those with moderately severe diseases are more numerous compared with studies with consecutive inclusion of all AP patients.²⁸ We also acknowledge that the impact of oedema on our results, as well as those of all previous studies on body parameters in AP, remains largely unknown. However, herein we collated a large, well-characterised AP cohort from centres all over Europe, affording our study a robust research methodology. The pan-European multicentre setting additionally provides less risk of disproportion regarding basal patient characteristics and cultural variations.

In conclusion, our results cannot confirm prior findings that obesity per se or distinct visceral fat parameters are associated with severity in AP. The data presented indicates that patients with low MM have a better outcome, while a low MMA correlates with severe disease. Both observations are however in need of further investigation to understand the underlying mechanisms. As our results, as well as those from previous studies, to a large extent stem from retrospective analyses, a similar but prospective study including patients from different geographical regions would seem pertinent to address the questions that remain unanswered. Lastly, it is our opinion that understanding the function and influence of adipose tissue within the abdominal cavity is one of several key requirements for a profound knowledge of the pathophysiological processes in severe AP.

Supplemental Material

UEG882520 Supplemental Material - Supplemental material for Mean muscle attenuation correlates with severe acute pancreatitis unlike visceral adipose tissue and subcutaneous adipose tissue

Supplemental material, UEG882520 Supplemental Material for Mean muscle attenuation correlates with severe acute pancreatitis unlike visceral adipose tissue and subcutaneous adipose tissue by Hanna Sternby, Mariella Mahle, Nicolas Linder, Laureen Erichson-Kirst, Robert C Verdonk, Alexandra Dimova, Povilas Ignatavicius, Lucas Ilzarbe, Peeter Koiva, Anne Penttilä, Sara Regnér, Thomas L Bollen, Richard Brill, Franz Stangl, Walter A Wohlgemuth, Vijay Singh, Harald Busse, Patrick Michl, Sebastian Beer and Jonas Rosendahl in United European Gastroenterology Journal

Footnotes

Acknowledgements

We thank all the individuals that contributed to this study. This effort was part of Pancreas 2000 – a programme for future pancreatologists (). We thank the radiological departments from each institution for their excellent assistance.

Author contribution

The first two authors contributed equally to this work. The last two authors jointly supervised the work. HS, MM, VS, SB and JR conceived, designed and directed the study. MM, LEK, RB, FS and NL performed the analyses of the CT scans. HS performed the statistical analysis. All other co-authors recruited study subjects and collected clinical data. HS and JR drafted the manuscript with substantial help from VS and RCV. All authors contributed to the intellectual content with critical revisions and approved the final version of the manuscript.

Declaration of conflicting interests

The authors declare that there is no conflict of interest.

Ethics approval

Ethical approval was obtained at the Martin-Luther University of Halle-Wittenberg (date 21.07.2018, Bearbeitungsnummer 2017-96, Ethik- Kommission Medizinsche Fakultät Martin-Luther Universität Halle- Wittenberg).

Funding

National Institutes of Health (NIH) from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (grant no. RO1DK092460) and from the Department of Army to VS (grant no. PR110417).

Informed consent

Due to the retrospective nature of the study and anonymisation of all data, no informed consent was requested.

Supplemental material

Supplemental material for this article is available online.

References

Peery

Crockett

Barritt

, et al. Burden of gastrointestinal, liver, and pancreatic diseases in the United States. Gastroenterology 2015; 149: 1731–1741.

Bollen

Singh

Maurer

, et al. A comparative evaluation of radiologic and clinical scoring systems in the early prediction of severity in acute pancreatitis. Am J Gastroenterol 2012; 107: 612–619.

Premkumar

Phillips

Petrov

, et al. The clinical relevance of obesity in acute pancreatitis: targeted systematic reviews. Pancreatology 2015; 15: 25–33.

Martinez

Johnson

Sanchez-Paya

, et al. Obesity is a definitive risk factor of severity and mortality in acute pancreatitis: an updated meta-analysis. Pancreatology 2006; 6: 206–209.

Hall

Stephenson

Jones

, et al.

Is abdominal fat distribution measured by axial CT imaging an indicator of complications and mortality in acute pancreatitis?

J Gastrointest Surg 2015; 19: 2126–2131.

Taguchi

Kubo

Yamamoto

, et al. Body mass index influences the outcome of acute pancreatitis: an analysis based on the Japanese administrative database. Pancreas 2014; 43: 863–866.

Hong

Qiwen

Ying

, et al. Body mass index and the risk and prognosis of acute pancreatitis: a meta-analysis. Eur J Gastroenterol Hepatol 2011; 23: 1136–1143.

Johnson

Toh

Campbell

. Combination of APACHE-II score and an obesity score (APACHE-O) for the prediction of severe acute pancreatitis. Pancreatology 2004; 4: 1–6.

Sadr-Azodi

Orsini

Andren-Sandberg

, et al. Abdominal and total adiposity and the risk of acute pancreatitis: a population-based prospective cohort study. Am J Gastroenterol 2013; 108: 133–139.

10.

Natu

Stevens

Kang

, et al. Visceral adiposity predicts severity of acute pancreatitis. Pancreas 2017; 46: 776–781.

11.

Yashima

Isayama

Tsujino

, et al. A large volume of visceral adipose tissue leads to severe acute pancreatitis. J Gastroenterol 2011; 46: 1213–1218.

12.

Yoon

Choi

Lee

, et al. Impact of body fat and muscle distribution on severity of acute pancreatitis. Pancreatology 2017; 17: 188–193.

13.

Patel

Trivedi

Durgampudi

, et al. Lipolysis of visceral adipocyte triglyceride by pancreatic lipases converts mild acute pancreatitis to severe pancreatitis independent of necrosis and inflammation. Am J Pathol 2015; 185: 808–819.

14.

Navina

Acharya

DeLany

, et al. Lipotoxicity causes multisystem organ failure and exacerbates acute pancreatitis in obesity. Sci Transl Med 2011; 3: 107–110–107–110.

15.

Fain

Madan

Hiler

, et al. Comparison of the release of adipokines by adipose tissue, adipose tissue matrix, and adipocytes from visceral and subcutaneous abdominal adipose tissues of obese humans. Endocrinology 2004; 145: 2273–2282.

16.

van Grinsven

van Vugt

JLA

Gharbharan

, et al. The Association of Computed Tomography-assessed body composition with mortality in patients with necrotizing pancreatitis. J Gastrointest Surg 2017; 21: 1000–1008.

17.

Brewster

Strauss

Crozier

. Measuring visceral fat, subcutaneous fat and skeletal muscle area changes by computed tomography in acute pancreatitis: a retrospective, single-centre study. Crit Care Resusc 2014; 16: 42–47.

18.

O’Leary

O'Neill

McLaughlin

, et al. Effects of abdominal fat distribution parameters on severity of acute pancreatitis. World J Surg 2012; 36: 1679–1685.

19.

Martin

Birdsell

Macdonald

, et al. Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol 2013; 31: 1539–1547.

20.

Sternby

Verdonk

Aguilar

, et al. Significant inter-observer variation in the diagnosis of extrapancreatic necrosis and type of pancreatic collections in acute pancreatitis – an international multicenter evaluation of the revised Atlanta classification. Pancreatology 2016; 16: 791–797.

21.

Banks

Bollen

Dervenis

, et al. Classification of acute pancreatitis – 2012: revision of the Atlanta classification and definitions by international consensus. Gut 2013; 62: 102–111.

22.

Van Vugt

JLA

Levolger

Gharbharan

, et al. A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computer tomography scans of rectal cancer patients. J Cachexia Sarcopenia Muscle 2017; 8: 285–297.

23.

Linder

Schaudinn

Garnov

, et al. Age and gender specific estimation of visceral adipose tissue amounts from radiological images in morbidly obese patients. Sci Rep 2016; 6: 22261–22261.

24.

Boutin

Kaptuch

Bateni

, et al. Influence of IV contrast administration on CT measures of muscle and bone attenuation: Implications for sarcopenia and osteoporosis evaluation. ARJ 2016; 207: 1046–1054.

25.

Smeets

Knoester

Grooteman

, et al. The association between obesity and outcomes in acute pancreatitis: an individual patient data meta-analysis. Eur J Gastroenterol Hepatol 2019; 31: 316–322.

26.

Duarte-Rojo

Sosa-Lozano

Saul

, et al. Methods for measuring abdominal obesity in the prediction of severe acute pancreatitis, and their correlation with abdominal fat areas assessed by computed tomography. Aliment Pharmacol Ther 2010; 32: 244–253.

27.

Working Group IAP/APA Acute Pancreatitis Guidelines. IAP/APA evidence-based guidelines for the management of acute pancreatitis. Pancreatology 2013; 13: e1–15.

28.

Sternby

Bolado

Canaval-Zuleta

, et al. Determinants of severity in acute pancreatitis: a nation-wide multicenter prospective cohort study. Ann Surg 2019; 270: 348–355.

Supplementary Material

Please find the following supplemental material available below.

For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.

For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.

0.00 MB

1.12 MB