| Literature DB >> 36079718 |
Olga Maria Nardone1, Andrea Ponsiglione2, Roberto de Sire3, Giulio Calabrese3, Raffaele Liuzzi4, Anna Testa3, Alessia Dalila Guarino3, Oriana Olmo3, Antonio Rispo3, Luigi Camera2, Fabiana Castiglione3.
Abstract
(1) Background: Sarcopenia has a high incidence in Crohn's disease (CD) with considerable heterogeneity among ethnicities and variable impact on clinical outcomes. Aim: to assess the impact of sarcopenia on clinical outcomes in a cohort of Caucasian patients with active CD undergoing CT-enterography (CTE) for clinical assessment. We further investigated the prevalence of sarcopenia and its predictors. (2)Entities:
Keywords: CT-enterography; Crohn’s disease; malnutrition; sarcopenia
Mesh:
Year: 2022 PMID: 36079718 PMCID: PMC9458031 DOI: 10.3390/nu14173460
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Figure 1Representative example of assessment of muscle area (A), subcutaneous (B), and visceral fat areas (C) on a single slice CT-enterography at the level of L3 in a 25 yo male patient.
Baseline demographic characteristics of cohort.
|
| |
|---|---|
|
| 44.2 ± 17.0 |
|
| |
|
| 34 (54.0) |
|
| 29 (46.0) |
|
| 21.2 ± 3.6 |
|
| 43.6 ± 9.1 |
|
| 111.8 (91.6) |
|
| 43 (68.3) |
|
| 57.0 ± 35.0 |
|
| 0.62 ± 0.58 |
|
| 140.0 ± 106.5 |
|
| |
|
| 13 (20.6) |
|
| 3 (4.8) |
|
| 46 (73.0) |
|
| 1 (1.6) |
|
| |
|
| 2 (3.2) |
|
| 36 (57.1) |
|
| 25 (39.7) |
|
| 15 (23.8) |
|
| 7.8 ± 1.7 |
|
| 7.8 ± 5.9 |
|
| 7.0 ± 2.2 |
|
| 17.8 ± 14.6 |
|
| 13 (20.6) |
|
| 11 (17.5) |
|
| 1 (1.6) |
|
| 1 (1.6) |
|
| 18 (28.6) |
|
| 15 (23.8) |
|
| 14 (22.2) |
|
| 26 (41.3) |
|
| 2.9 ± 4.0 |
|
| 302.7 ± 163.4 |
|
| 3.6 ± 0.6 |
Values are mean ± SD or n (%); BMI, Body mass index; SMI, Skeletal muscle index; SFA, Subcutaneous fat area; VFA, Visceral fat area; CD, Crohn’s disease; SES-CD, Simple Endoscopic Score for Crohn’s Disease; HBI, Harvey Bradshaw Index; SES-CD, Simple endoscopic score for Crohn’s disease; BWT, bowel wall thickness; CDE, Crohn’s disease extent; CCS, Systemic corticosteroids; ISS, Traditional immunosuppressive therapy; CRP, C-reactive protein; FC, Fecal calprotectin.
Univariate analysis on anthropometry, patients’ characteristics and outcomes in the sarcopenic and non-sarcopenic cohort.
| Patients with Sarcopenia (n = 43) | Patients without Sarcopenia (n = 20) | ||
|---|---|---|---|
| BMI (kg/m2) | 20.3 ± 3.1 | 23.3 ± 3.8 | 0.002 |
| SFA (cm2) | 94.1 ± 90.4 | 149.9 ± 84.2 | 0.009 |
| VFA (cm2) | 54.0 ± 63.1 | 63.4 ± 62.7 | 0.54 |
| VFA/SFA ratio | 0.7 ± 0.6 | 0.4 ± 0.4 | 0.04 |
| Age | 45.6 ± 18.0 | 41.1 ± 14.8 | 0.49 |
| CRP (mg/L) | 2.91 ± 4.1 | 2.98 ± 3.8 | 0.54 |
| Serum albumin (g/L) | 3.49 ± 0.6 | 3.88 ± 0.5 | 0.029 |
| FC (μg/g) | 334.66 ± 167.2 | 238.95 ± 138.7 | 0.03 |
| Female gender | 18 (41.7) | 11 (55.0) | 0.33 |
| EIM | 12 (27.9) | 1 (5.0) | 0.04 |
| Baseline anti-TNF-α therapy | 10 (23.2) | 8 (40.0) | 0.17 |
| Baseline CCS therapy | 8 (18.6) | 7 (35.0) | 0.15 |
| Baseline ISS therapy | 9 (20.9) | 5 (25.0) | 0.72 |
| Previous anti-TNF-α therapy | 20 (46.5) | 6 (30.0) | 0.21 |
| Need for surgery | 21 (48.8) | 12 (60.0) | 0.41 |
| Infectious events | 18 (41.9) | 3 (15.0) | 0.03 |
| Low respiratory tract | 6 (13.9) | 1 (5.0) | |
| PICC-related | 8 (18.6) | 0 | |
| Urinary tract | 1 (2.3) | 1 (5.0) | |
| Herpesvirus-related | 2 (4.6) | 1 (5.0) | |
| Gynaecologic | 1 (2.3) | 0 |
Values are mean ± SD or n (%); BMI, Body mass index; SFA, Subcutaneous fat area; VFA, Visceral fat area; VFA/SFA, CRP, C-reactive protein; FC, fecal calprotectin; EIM, extra-intestinal manifestations; CCS, Systemic corticosteroids; ISS, Traditional immunosuppressive therapy; PICC, peripherally inserted central catheter.
Multivariate analysis: logistic regression coefficients and 95% confidence intervals.
| 95% C.I. per EXP(B) | ||||||
|---|---|---|---|---|---|---|
| Estimated Coefficient | Standard Error | Exp(B) | Lower Limit | Upper Limit | ||
| Body Mass Index | −0.309 | 0.122 | 0.011 | 0.734 | 0.578 | 0.932 |
| EIM | 2.957 | 1.479 | 0.046 | 19.233 | 1.059 | 349.139 |
| Constant | 6.855 | 2.591 | 0.008 | 948.241 | ||
EIM, extraintestinal manifestations; CI, confidence interval.
Figure 2Diagnostic accuracy of BMI and EIM for predicting sarcopenia. Receiver Operating Characteristic curve to evaluate the sensitivity and specificity of the model to predict the presence of sarcopenia.