Factors Associated with Deep Vein Thrombosis in Type 2 Diabetics with Biopsy-Proven Non-alcoholic Fatty Liver Disease
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Abstract
Non-alcoholic fatty liver disease (NAFLD) can lead to a prothrombotic stage increasing the risk of deep vein thrombosis (DVT). We aimed to assess the prevalence and factors associated with DVT in patients with type 2 diabetes (T2D) and biopsy-proven NAFLD. Using ICD-codes, all T2D patients who had liver biopsy done for suspected NAFLD were identified and assessed. Patients with secondary causes of hepatic steatosis (Hepatitis, excess alcohol, etc.) were excluded. Liver biopsy was staged as F0-4, advanced fibrosis (AF) being F3-4. A univariable and multivariate analysis was performed to assess factors associated with DVT. A total of 1295 patients were included in the final analysis. DVT was present in 5.5% of these patients. Our cohort consisted of 62% females, 90% were Caucasians, and 90% were obese or overweight (p = 0.59, 0.22, and 0.53, respectively). Mean platelet count was 200.1 ± 82.2 (p = 0.048) and mean HbA1c was 6.9 ± 1.7 (p = 0.71). On multivariate analysis, a 5-year increment in the age at time of T2D diagnosis was associated with 10% increase in likelihood of having DVT (OR {95% CI} 1.1 (1.01, 1.3), p = 0.031). Patients with IBD were 3-times more likely to have DVT than those without IBD and being on furosemide was associated with 2.5-times higher odds of DVT (OR {95% CI} 3.0 (1.3, 7.1), p = 0.012 and 2.5 (1.5, 4.1), p < 0.001, respectively). Our study suggests that older age, stricturing IBD disease, and use of furosemide in T2D with NAFLD increase the risk of DVT. Future prospective studies are required to confirm these findings. Clinical trial registration number: CCF 16-018
Keywords
Non-alcoholic fatty liver disease (NAFLD) Deep vein thrombosis Advanced fibrosis Type 2 diabetes Liver biopsyAbbreviations
- AF
Advanced fibrosis
- AST
Aspartate aminotransferase
- ALT
Alanine aminotransferase
- ALP
Alkaline phosphatase
- APRI
AST to platelet ration index
- BMI
Body mass index
- CDC
Centers for Disease Control and Prevention
- CD
Crohn’s disease
- DVT
Deep vein thrombosis
- FIB-4
Fibrosis-4
- GGT
γ-Glutamyl transpeptidase
- HDL
High-density lipoprotein
- HbA1c
Hemoglobin A1c
- HCC
Hepatocellular carcinoma
- HLD
Hyperlipidemia
- IDF
International diabetes federation
- LDL
Low-density lipoprotein
- LD
Liver disease
- MetS
Metabolic syndrome
- NAFLD
Non-alcoholic fatty liver disease
- IR
Insulin resistance
- CKD
Chronic kidney disease
- IBD
Inflammatory bowel disease
- UC
Ulcerative colitis
Introduction
Non-alcoholic fatty liver disease (NAFLD) is one the most common chronic liver disease (CLD) in the world, with an estimated prevalence of 10–40% [1, 2]. It has been ranked as the second leading cause for liver transplantation (LT) in the United States [3], making it a major health concern. NAFLD is defined as increased liver fat accumulation in the form of triglycerides (steatosis), diagnosed either by imaging or histology, due to causes other than excess alcohol consumption, steatogenic medications or hereditary disorders [4, 5]. The disease spectrum includes non-alcoholic fatty liver (NAFL), non-alcoholic steatohepatitis (NASH) which significantly increases the risk of cirrhosis, liver failure, and hepatocellular carcinoma [4, 5]. NAFLD is considered as the hepatic expression of the metabolic syndrome. The key component of the MetS is insulin resistance, along with other central features as obesity, hypertension, hyperinsulinemia, and hypertriglyceridemia, which are also the predisposing factors for NAFLD, suggesting an interlink between two conditions [6]. The prevalence of NAFLD in patients with type 2 diabetes (T2D) is 49 to 62% [7, 8] and clinically relevant fibrosis occurs in up to 20% of these patients [9]. T2D increases the overall mortality and liver-related deaths in patients with NAFLD [9]. Moreover, the existence of NAFLD in T2D is also accompanied with increased cardiovascular disease risks and accelerates the progression of macro and microvascular complications [10].
Liver cirrhosis has been suggested to cause a prothrombotic stage and increases the risk of deep vein thrombosis (DVT) [11]. Similarly, T2D has also been indicated as a risk factor for DVT [12, 13]. But, there is a paucity of data on the association of DVT in NAFLD patients, especially with underlying diabetes and advanced stages of fibrosis. We herein aim to detect the prevalence and factors associated with DVT in a large cohort of diabetics with biopsy-proven NAFLD.
Materials and Methods
After obtaining approval from the Institutional Review Board, using ICD-9 codes, all patients between ages 18 and 80 with a diagnosis of T2D and had liver biopsy (n = 1318) done for suspected NAFLD between January 2000 and December 2015, in the Cleveland Clinic system, were identified from electronic medical records. An expert pathologist reviewed the biopsy samples to detect fibrosis. Fibrosis staging was determined using the Metavir liver fibrosis system (F0-4). AF was defined as stages 3–4. Patients with incomplete medical records or with secondary causes of hepatic steatosis (hepatitis C, Wilson disease, lipodystrophy, starvation, parenteral nutrition, abetalipoprotinemia, medications [corticosteroids, valproate, and antivirals]) were excluded. Patients were also excluded if they consumed more than 30 g of alcohol per day for males or more than 20 g per day for females [4, 5]. Laboratory data and use of various medications within 24 months of liver biopsies were used for statistical analysis. The diagnosis of DVT was based on the ICD-9 codes and results of Doppler ultrasound (US).
Statistical Analysis
Data are presented as mean ± standard deviation, median [25th, 75th percentiles] or N (%). A univariable analysis was performed to assess factors associated with DVT. Analysis of variance (ANOVA) or the non-parametric Kruskal-Wallis tests were used for continuous or ordinal variables and Pearson’s chi-square tests or Fisher’s Exact were used for categorical factors. In addition, multivariable logistic regression was done to further assess which clinical factors are associated with DVT. All factors were considered for inclusion in the model and an automated stepwise variable selection method performed on 1000 bootstrap samples was used to choose the final model; variables with inclusion rates of at least 50% were included in the final model.
The same analysis was repeated in the subgroup of subjects who had AF on biopsy; because only 26 subjects with AF had DVT, the multivariable model was restricted to the top 3 variables with highest inclusion rates. SAS (version 9.4, The SAS Institute, Cary, NC) was used for all analyses and a p ≤ 0.05 was considered statistically significant.
Results
Demographic and clinical characteristics (all subjects)
Factor | Overall (N = 1295) | No DVT (N = 1224) | DVT (N = 71) | p value | |||
---|---|---|---|---|---|---|---|
N | Statistics | n | Statistics | n | Statistics | ||
Age at T2D diagnosis (years) | 1295 | 50.0 ± 11.8 | 1224 | 49.8 ± 11.9 | 71 | 54.0 ± 9.6 | 0.003a |
Age at NAFLD diagnosis (years) | 1295 | 51.2 ± 11.7 | 1224 | 51.0 ± 11.8 | 71 | 55.1 ± 9.3 | 0.004a |
Age at biopsy (years) | 1295 | 51.6 ± 11.8 | 1224 | 51.4 ± 11.9 | 71 | 55.6 ± 9.0 | 0.004a |
Gender | 1295 | 1224 | 71 | 0.59c | |||
Female | 841 (64.9) | 797 (65.1) | 44 (62.0) | ||||
Male | 454 (35.1) | 427 (34.9) | 27 (38.0) | ||||
Caucasian | 1295 | 1224 | 71 | 0.22c | |||
Caucasian | 1102 (85.1) | 1038 (84.8) | 64 (90.1) | ||||
Other | 193 (14.9) | 186 (15.2) | 7 (9.9) | ||||
Smoking | 1285 | 1215 | 70 | 0.12c | |||
Never | 728 (56.7) | 681 (56.0) | 47 (67.1) | ||||
Former | 479 (37.3) | 461 (37.9) | 18 (25.7) | ||||
Current | 78 (6.1) | 73 (6.0) | 5 (7.1) | ||||
BMI | 1295 | 35.3 ± 8.2 | 1224 | 35.4 ± 8.3 | 71 | 34.4 ± 6.7 | 0.30a |
BMI group | 1295 | 1224 | 71 | 0.53b | |||
Normal weight | 77 (5.9) | 70 (5.7) | 7 (9.9) | ||||
Overweight | 251 (19.4) | 241 (19.7) | 10 (14.1) | ||||
Obese | 664 (51.3) | 623 (50.9) | 41 (57.7) | ||||
Severely obese | 303 (23.4) | 290 (23.7) | 13 (18.3) | ||||
SBP | 1295 | 129.7 ± 17.2 | 1224 | 129.8 ± 17.2 | 71 | 127.4 ± 17.5 | 0.24a |
DBP | 1295 | 74.0 ± 11.1 | 1224 | 74.1 ± 11.1 | 71 | 72.6 ± 11.4 | 0.27a |
NAFLD prior to T2D | 1295 | 276 (21.3) | 1224 | 263 (21.5) | 71 | 13 (18.3) | 0.53c |
Hypertension | 1295 | 980 (75.7) | 1224 | 925 (75.6) | 71 | 55 (77.5) | 0.72c |
Hyperlipidemia | 1295 | 934 (72.1) | 1224 | 882 (72.1) | 71 | 52 (73.2) | 0.83c |
CKD | 1295 | 164 (12.7) | 1224 | 148 (12.1) | 71 | 16 (22.5) | 0.010c |
IBD type | 1293 | 1222 | 71 | 0.017c | |||
CD | 32 (2.5) | 28 (2.3) | 4 (5.6) | ||||
UC | 17 (1.3) | 14 (1.1) | 3 (4.2) | ||||
None | 1244 (96.2) | 1180 (96.6) | 64 (90.1) | ||||
IBD | 1293 | 49 (3.8) | 1222 | 42 (3.4) | 71 | 7 (9.9) | 0.006c |
Stricturing disease | 1295 | 17 (1.3) | 1224 | 14 (1.1) | 71 | 3 (4.2) | 0.027c |
Advanced fibrosis on biopsy | 1295 | 412 (31.8) | 1224 | 386 (31.5) | 71 | 26 (36.6) | 0.37c |
Medication use (all subjects)
Factor | Overall (N = 1295) | No DVT (N = 1224) | DVT (N = 71) | p value | |||
---|---|---|---|---|---|---|---|
N | Statistics | n | Statistics | n | Statistics | ||
Oral hypoglycemics | 1295 | 917 (70.8) | 1224 | 867 (70.8) | 71 | 50 (70.4) | 0.94c |
Oral hypoglycemic duration (months) | 917 | 30.4 [7.5, 69.2] | 867 | 29.7 [7.4, 69.1] | 50 | 43.4 [7.7, 73.0] | 0.21b |
Metformin use | 1295 | 844 (65.2) | 1224 | 797 (65.1) | 71 | 47 (66.2) | 0.85c |
Metformin duration (months) | 844 | 30.8 [7.1, 70.9] | 797 | 30.4 [7.1, 70.9] | 47 | 39.8 [7.6, 69.3] | 0.38b |
Glipizide use | 1295 | 161 (12.4) | 1224 | 152 (12.4) | 71 | 9 (12.7) | 0.95c |
Glipizide duration (months) | 161 | 17.0 [5.7, 45.0] | 152 | 17.6 [5.2, 44.2] | 9 | 12.5 [9.4, 66.3] | 0.50b |
Pioglitazone use | 1295 | 171 (13.2) | 1224 | 161 (13.2) | 71 | 10 (14.1) | 0.82c |
Pioglitazone duration (months) | 171 | 19.2 [6.6, 52.2] | 161 | 17.1 [6.3, 45.0] | 10 | 53.3 [32.7, 73.2] | 0.006b |
Sitagliptin use | 1295 | 245 (18.9) | 1224 | 234 (19.1) | 71 | 11 (15.5) | 0.45c |
Sitagliptin duration (months) | 245 | 6.2 [1.00, 28.8] | 234 | 5.8 [1.00, 28.8] | 11 | 16.1 [5.1, 30.6] | 0.46b |
Saxagliptin use | 1295 | 19 (1.5) | 1224 | 18 (1.5) | 71 | 1 (1.4) | 0.97c |
Insulin | 1295 | 509 (39.3) | 1224 | 476 (38.9) | 71 | 33 (46.5) | 0.20c |
Insulin duration (months) | 509 | 13.9 [3.0, 44.4] | 476 | 13.9 [3.0, 44.2] | 33 | 17.4 [6.1, 49.5] | 0.40b |
Liraglutide use | 1295 | 127 (9.8) | 1224 | 122 (10.0) | 71 | 5 (7.0) | 0.42c |
Liraglutide duration (months) | 127 | 9.9 [1.8, 23.6] | 122 | 9.6 [1.8, 23.6] | 5 | 11.9 [3.5, 13.8] | 0.87b |
Detemir/Levemir use | 1295 | 117 (9.0) | 1224 | 106 (8.7) | 71 | 11 (15.5) | 0.051c |
Detemir/Levemir duration (months) | 117 | 7.6 [0.90, 21.0] | 106 | 7.6 [0.80, 20.6] | 11 | 12.4 [1.4, 58.9] | 0.27b |
Glargine use | 1295 | 306 (23.6) | 1224 | 286 (23.4) | 71 | 20 (28.2) | 0.35c |
Glargine duration (months) | 306 | 9.8 [0.60, 42.5] | 286 | 9.4 [0.40, 41.0] | 20 | 14.2 [7.9, 51.3] | 0.16b |
Humulin use | 1295 | 82 (6.3) | 1224 | 75 (6.1) | 71 | 7 (9.9) | 0.21c |
Humulin duration (months) | 82 | 13.3 [2.8, 40.9] | 75 | 14.6 [3.4, 42.6] | 7 | 2.5 [0.30, 8.0] | 0.019b |
Exenatide use | 1295 | 144 (11.1) | 1224 | 135 (11.0) | 71 | 9 (12.7) | 0.67c |
Exenatide duration (months) | 144 | 11.5 [3.5, 27.5] | 135 | 11.2 [3.3, 26.9] | 9 | 26.2 [8.6, 40.3] | 0.074b |
Antihypertensive medications | 1295 | 1083 (83.6) | 1224 | 1022 (83.5) | 71 | 61 (85.9) | 0.59c |
Antihypertensive duration (months) | 1083 | 33.0 [4.6, 77.3] | 1022 | 32.4 [4.3, 76.1] | 61 | 48.1 [13.3, 94.2] | 0.054b |
Lisinopril use | 1295 | 537 (41.5) | 1224 | 511 (41.7) | 71 | 26 (36.6) | 0.39c |
Lisinopril duration (months) | 537 | 22.7 [4.4, 58.0] | 511 | 22.8 [4.5, 57.8] | 26 | 18.6 [1.1, 79.9] | 0.87b |
Losartan use | 1295 | 196 (15.1) | 1224 | 182 (14.9) | 71 | 14 (19.7) | 0.27c |
Losartan duration (months) | 196 | 16.9 [1.05, 48.4] | 182 | 19.0 [1.3, 49.7] | 14 | 3.2 [0.40, 23.9] | 0.23b |
Furosemide use | 1295 | 387 (29.9) | 1224 | 349 (28.5) | 71 | 38 (53.5) | < 0.001c |
Furosemide duration (months) | 387 | 10.0 [1.00, 44.5] | 349 | 9.8 [0.80, 44.3] | 38 | 25.5 [3.7, 57.9] | 0.033b |
Hydrochlorothiazide use | 1295 | 461 (35.6) | 1224 | 436 (35.6) | 71 | 25 (35.2) | 0.94c |
Hydrochlorothiazide duration (months) | 461 | 41.4 [10.6, 81.9] | 436 | 41.6 [10.4, 82.2] | 25 | 34.7 [11.2, 75.4] | 0.81b |
Spironolactone use | 1295 | 184 (14.2) | 1224 | 166 (13.6) | 71 | 18 (25.4) | 0.006c |
Spironolactone duration (months) | 184 | 9.3 [1.7, 30.0] | 166 | 9.1 [1.6, 27.9] | 18 | 26.5 [2.0, 73.9] | 0.054b |
Amlodipine use | 1295 | 266 (20.5) | 1224 | 246 (20.1) | 71 | 20 (28.2) | 0.10c |
Amlodipine duration (months) | 266 | 17.3 [3.0, 51.0] | 246 | 16.6 [2.9, 50.4] | 20 | 27.9 [11.0, 69.1] | 0.29b |
Metoprolol use | 1295 | 648 (50.0) | 1224 | 606 (49.5) | 71 | 42 (59.2) | 0.11c |
Metoprolol duration (months) | 648 | 0.30 [0.10, 29.9] | 606 | 0.20 [0.10, 28.5] | 42 | 6.0 [0.10, 45.8] | 0.22b |
Carvedilol use | 1295 | 89 (6.9) | 1224 | 81 (6.6) | 71 | 8 (11.3) | 0.13c |
Carvedilol duration (months) | 89 | 9.0 [0.90, 27.9] | 81 | 9.0 [0.90, 29.0] | 8 | 5.5 [0.60, 16.5] | 0.57b |
Antilipidemic medications | 1295 | 712 (55.0) | 1224 | 673 (55.0) | 71 | 39 (54.9) | 0.99c |
Antilipidemic duration (months) | 712 | 32.9 [8.7, 70.3] | 673 | 31.2 [8.0, 70.0] | 39 | 40.0 [13.0, 83.3] | 0.14b |
Rosuvastatin use | 1295 | 130 (10.0) | 1224 | 127 (10.4) | 71 | 3 (4.2) | 0.094c |
Atorvastatin use | 1295 | 367 (28.3) | 1224 | 347 (28.3) | 71 | 20 (28.2) | 0.97c |
Atorvastatin duration (months) | 367 | 23.1 [5.9, 66.0] | 347 | 23.1 [5.9, 66.0] | 20 | 24.9 [5.3, 64.2] | 0.94b |
Simvastatin use | 1295 | 348 (26.9) | 1224 | 330 (27.0) | 71 | 18 (25.4) | 0.77c |
Simvastatin duration (months) | 348 | 24.5 [5.6, 54.4] | 330 | 23.5 [5.2, 54.4] | 18 | 34.6 [15.6, 47.6] | 0.32b |
Pravastatin use | 1295 | 139 (10.7) | 1224 | 127 (10.4) | 71 | 12 (16.9) | 0.084c |
Pravastatin duration (months) | 139 | 16.1 [1.8, 37.7] | 127 | 17.6 [1.3, 39.2] | 12 | 9.1 [3.1, 17.1] | 0.33b |
Gemfibrozil use | 1295 | 49 (3.8) | 1224 | 47 (3.8) | 71 | 2 (2.8) | 0.66c |
Fenofibrate use | 1295 | 152 (11.7) | 1224 | 142 (11.6) | 71 | 10 (14.1) | 0.53c |
Fenofibrate duration (months) | 152 | 23.5 [8.5, 60.3] | 142 | 23.5 [8.7, 56.3] | 10 | 40.6 [5.3, 83.3] | 0.54b |
Aspirin use | 1295 | 507 (39.2) | 1224 | 472 (38.6) | 71 | 35 (49.3) | 0.072c |
Aspirin dose | 499 | 464 | 35 | 0.41c | |||
81 | 490 (98.2) | 455 (98.1) | 35 (100.0) | ||||
325 | 9 (1.8) | 9 (1.9) | 0 (0.0) |
Laboratory values (all subjects)
Factor | Overall (N = 1295) | No DVT (N = 1224) | DVT (N = 71) | p value | |||
---|---|---|---|---|---|---|---|
N | Statistics | N | Statistics | n | Statistics | ||
Platelets | 1278 | 219.7 ± 85.7 | 1207 | 220.8 ± 85.8 | 71 | 200.1 ± 82.2 | 0.048a |
Total Cholesterol | 1159 | 168.0 ± 44.2 | 1095 | 167.9 ± 44.2 | 64 | 169.9 ± 44.7 | 0.72a |
Triglycerides | 1158 | 123.5 [84.0, 179.0] | 1094 | 124.0 [84.0, 181.0] | 64 | 110.5 [76.0, 156.5] | 0.11b |
HDL | 1157 | 47.0 ± 17.1 | 1093 | 46.9 ± 16.8 | 64 | 48.4 ± 21.4 | 0.51a |
LDL | 1156 | 91.9 ± 36.1 | 1092 | 91.9 ± 35.8 | 64 | 92.7 ± 40.4 | 0.87a |
HbA1c | 1167 | 6.8 ± 1.6 | 1104 | 6.8 ± 1.6 | 63 | 6.9 ± 1.7 | 0.71a |
AST | 1278 | 27.0 [20.0, 42.0] | 1207 | 27.0 [20.0, 41.0] | 71 | 31.0 [21.0, 52.0] | 0.035b |
ALT | 1278 | 27.0 [18.0, 44.0] | 1207 | 27.0 [18.0, 44.0] | 71 | 30.0 [20.0, 46.0] | 0.15b |
Alkaline phosphatase | 1278 | 82.0 [66.0, 107.0] | 1207 | 81.0 [66.0, 106.0] | 71 | 92.0 [80.0, 118.0] | < 0.001b |
Total bilirubin | 1278 | 0.50 [0.30, 0.70] | 1207 | 0.50 [0.30, 0.70] | 71 | 0.50 [0.40, 0.70] | 0.36b |
Albumin | 1185 | 4.2 ± 0.95 | 1119 | 4.2 ± 0.95 | 66 | 4.0 ± 1.00 | 0.19a |
Clinical factors associated with DVT: multivariable logistic regression analysis (all subjects)
Factor | OR (95% CI) | p value |
---|---|---|
Age at DM2 diagnosis (5 year increment) | 1.1 (1.01, 1.3) | 0.031 |
IBD | 3.0 (1.3, 7.1) | 0.012 |
Furosemide use | 2.5 (1.5, 4.1) | < 0.001 |
a–c Factors associated with DVT
Subgroup with DM2, NAFLD, and Advanced Fibrosis
Out of 1295 patients with T2D and NAFLD, 31.8% had AF and 36.6% of the patients with AF had DVT (p = 0.37). In this subgroup, CKD was present in 42.3%, IBD in 15.4% (11.5% had CD, 3.8% had UC), and 11.5% of the patients had stricturing disease (p < 0.05). When looking over their medications: 53.8% were on oral hypoglycemic medications for a duration of 64.5 [35.0, 88.3] months (p = 0.20 and p = 0.022, respectively). 69.2% of the patients were on furosemide (p = 0.005) while 46.2% were on spironolactone (p = 0.030). As regards to their lab results, the median ALP level was 117.0 [85.0, 133.0] (p = 0.016). (Supplementary tables 7-9 and supplementary figures 2-4). On multivariate logistic regression analysis, in patients with AF, presence of underlying IBD had 6.3-fold higher risk of DVT (OR [95% CI] 6.3 (1.7, 23.5), p = 0.006). Similarly, use of furosemide were associated with 3.3-times higher odds of having DVT (OR [95% CI] 3.3 (1.4, 8.0), p = 0.008). Underlying HLD in these patients also showed a trend towards higher risk of DVT, but this association was not significant (OR [95% CI] 2.5 (0.95, 6.6), p = 0.062) (Supplementary Table 10).
We also analyzed association of furosemide, HLD, and stricturing IBD with individual fibrosis stage (F0–F4) on liver biopsy and found them to be statistically non-significant, which was likely due to spread out of patients leading to smaller number patients in each fibrosis stage (Supplementary Table 11 [A-C).
Discussion
NAFLD leads to a prothrombotic stage and the risk of DVT is significantly higher in patients with underlying diabetes. Our results show that out of 1295 patients with biopsy-proven NAFLD and underlying T2D, 71 (5.5%) were found to have a DVT, and 26 (36.6%) of them had AF on liver biopsy. On unadjusted analysis, older age, CKD, IBD, and stricturing disease, being on spironolactone, furosemide, longer duration of furosemide and pioglitazone, shorter duration of Humulin use, lower platelet count, higher AST, and higher ALP were found to be associated with DVT (p < 0.05). On multivariate analysis, presence of IBD and being on furosemide were associated with 3- and 2.5-times higher odds of having DVT, and a 5-year increment in age at time of T2D diagnosis was associated with a 10% increase in likelihood of having DVT (OR [95% CI] 3.0 (1.3, 7.1), 2.5 (1.5, 4.1), and 1.1 (1.01, 1.3), respectively) [14]. On subgroup-analysis, in patients with AF on liver biopsy, presence of IBD was associated with a 6.3-fold increased odds of DVT. The use of furosemide was also associated with significantly higher risk of DVT in these patients (OR [95% CI] 3.3 (1.4, 8.0), p = 0.008). These findings suggest that all NAFLD patients with diabetes and certain co-morbidities (IBD, HLD) and using specific medication (furosemide) are at a higher risk of DVT, and providers should be vigilant in these cases and make efforts to minimize the risk by treating the underlying disease or switching to medications not associated with DVT.
Both diabetes and NAFLD have been shown to be linked with increased risk of DVT [12, 13, 14, 16, 17, 18]. Diabetes is associated with several defects of fibrinolysis and coagulation that lead to a pro-coagulant and thrombogenic disposition by raised concentrations of fibrinogen, von Willebrand factor, and other endothelium-derived mediators which increase the blood viscosity and promote platelet activation and adhesion [19]. According to Lemkes et al., high glucose levels (1) increase oxidative stress, which leads to an increase in coagulation factors gene transcription; (2) break down the glycocalyx layer of the endothelial wall, which releases coagulation factors and stimulates the coagulation cascade; and (3) increase glycation of proteins involved in coagulation and fibrinolysis, all leading to a pro-coagulant state [20]. The possible underlying mechanism in NAFLD is increased oxidative stress due to continuous inflammation and increased reactive oxygen species, and increased hepatic production of C reactive protein, pro-coagulant, pro-oxidant, and pro-fibrogenic mediators. By worsening systemic/hepatic IR and predisposing to dyslipidemia, NAFLD further worsens cardiovascular disease and T2D [21, 22, 23, 24]. Our study showed a trend towards higher risk of DVT in patients with HLD, which could be due to an “additive effect” of NAFLD and T2D.
It is generally known that the risk of VTE increases dramatically with age especially in the later decades of life [25]. In our study, we also found increased risk of DVT with advancing age, extending the work of recent studies showing higher incidence of VTE in old diabetic patients (≥ 65 years); however, patients in these studies had no NAFLD [12, 13, 14]. We also found that NAFLD patients using furosemide were 3.3-times more likely to have DVT, supporting evidence by Pang H et al evidence stating that diuretics use is a risk factor for VTE [14, 26]. Given that excessive diuresis may cause dehydration and a decrease in blood volume which may possibly lead to vascular thrombosis and embolism [27]. NAFLD patients with advanced disease stages with complications like ascites are usually on furosemide. Similarly, furosemide is commonly used as antihypertensive or for heart failure in diabetics [28, 29, 30]. Overall, regardless of the indication, furosemide use in NAFLD patients with diabetes increases risk of DVT.
Due to significantly high morbidity and mortality, venous thromboembolism (VTE) is one the most important extra-intestinal complications of IBD [31, 32, 33, 34, 35, 36, 37, 38, 39]. IBD has been shown to be associated with abnormal fibrinolysis, abnormal platelet aggregation, increased activated protein C, increased cytokines (interleukin-6, thrombopoietin), increased factors V and VIII, increased plasminogen activator inhibitor, increased fibrinogen, thrombocytosis, leukocytosis, circulating immune complexes, and decreased antithrombin III and factor V Leiden mutation [36, 39, 40, 41, 42, 43, 44]. Hence, IBD patients have a 2- to 3-fold increased risk of developing DVT and pulmonary embolism (PE) compared with the general population [31, 34, 35, 36, 37, 38, 39, 44]. Our findings, a 3-fold increase in the likelihood of developing DVT in patients having IBD and a 6.3-fold increase in the subgroup with AF, are consistent with past research [14, 31, 34, 35, 36, 37, 38, 39, 44]. In the subgroup of patients with AF, patients with underlying HLD also showed higher tendency of having DVT, paralleling previous evidence reporting that HLD is a risk factor for VTE [45, 46, 47].
Although, our study had a large sample size of diabetic patients with biopsy-proven NAFLD, this study had certain limitations. Beside the retrospective design with its own limitations, liver biopsies were reviewed by local pathologists; there is inter-observer variation which is one of the limitations of our study. Also, most of these patients were seen at a tertiary care center leading to selection bias. We also do not know if exposures happened before or after DVT so we can only assess associations. As regards to the medications, we assumed that they were used continuously from the first to the last date of prescription and there is no way for us to know if this is true. Even though we used Padua score to assess the associations in high and low risk patients, Padua score is mainly used for hospitalized patients and its use to predict DVT in outpatient setting is unknown.
In conclusion, presence of underlying diabetes in patients with NAFLD increase the risk of DVT and early detection and risk stratification is particularly important to lighten this growing burden. The detection of NAFLD in a diabetic patient should alert clinicians to the coexistence of multiple underlying DVT risk factors requiring evaluation and treatment as much as the risk for advancing liver disease. Larger long-term prospective studies are suggested to identify risk factors for DVT in NAFLD patients with T2D.
Notes
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
Ethical Approval
Ethical approval was obtained from the Cleveland Clinic (CCF) Institutional Review Board.
Informed Consent
Informed consent was waived due to retrospective nature of the study and no direct patient contact.
Supplementary material
References
- 1.Brunt EM, Wong VW-S, Nobili V, Day CP, Sookoian S, Maher JJ, et al. Nonalcoholic fatty liver disease. Nat Rev Dis Prim. 2015;1:15080.PubMedCrossRefPubMedCentralGoogle Scholar
- 2.Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease—meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64(1):73–84.PubMedCrossRefPubMedCentralGoogle Scholar
- 3.Wong RJ, Aguilar M, Cheung R, Perumpail RB, Harrison SA, Younossi ZM, et al. Nonalcoholic steatohepatitis is the second leading etiology of liver disease among adults awaiting liver transplantation in the United States. Gastroenterology. 2015;148(3):547–55.PubMedCrossRefPubMedCentralGoogle Scholar
- 4.Chalasani N, Younossi Z, Lavine JE, Charlton M, Cusi K, Rinella M, et al. The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the Study of Liver Diseases. Hepatology. 2018;67(1):328–57.PubMedCrossRefPubMedCentralGoogle Scholar
- 5.Labrecque DR, Abbas Z, Anania F, Ferenci P, Khan AG, Goh KL, et al. World gastroenterology organisation global guidelines: nonalcoholic fatty liver disease and nonalcoholic steatohepatitis. J Clin Gastroenterol. 2014;48(6):467–73. https://doi.org/10.1097/MCG.0000000000000116.CrossRefPubMedPubMedCentralGoogle Scholar
- 6.Bayard M, Holt J, Boroughs E. Nonalcoholic fatty liver disease. Am Fam Physician. 2006;73(11):1961–8.PubMedPubMedCentralGoogle Scholar
- 7.Gupte P, Amararapukar D, Agal S, Baijal R, Kulshrestha P, Pramanik S, et al. Non-alcoholic steatohepatitis in type 2 diabetes mellitus. J Gastroenterol Hepatol. 2004;19(8):854–8.PubMedCrossRefPubMedCentralGoogle Scholar
- 8.Lazo M, Clark J. The Epidemiology of Nonalcoholic fatty liver disease: A global perspective. Semin Liver Dis. 2008;28(04):339–50.PubMedCrossRefPubMedCentralGoogle Scholar
- 9.Kwok R, Choi KC, Wong GL-H, Zhang Y, Chan HL-Y, Luk AO-Y, et al. Screening diabetic patients for non-alcoholic fatty liver disease with controlled attenuation parameter and liver stiffness measurements: a prospective cohort study. Gut. 2016;65(8):1359–68.PubMedCrossRefPubMedCentralGoogle Scholar
- 10.Bonora E, Targher G. Increased risk of cardiovascular disease and chronic kidney disease in NAFLD. Nat Rev Gastroenterol Hepatol. 2012;9(7):372–81.PubMedCrossRefPubMedCentralGoogle Scholar
- 11.Søgaard KK, Horváth-Puhó E, Grønbæk H, Jepsen P, Vilstrup H, Sørensen HT. Risk of venous thromboembolism in patients with liver disease: a nationwide population-based case–control study. Am J Gastroenterol. 2009;104(1):96–101.PubMedCrossRefPubMedCentralGoogle Scholar
- 12.Petrauskiene V, Falk M, Waernbaum I, Norberg M, Eriksson JW. The risk of venous thromboembolism is markedly elevated in patients with diabetes. Diabetologia. 2005;48(5):1017–21.PubMedCrossRefPubMedCentralGoogle Scholar
- 13.Leonard J, Caputo LM, Carrick MM, Slone DS, Mains CW, Bar-Or D. Does diabetes type increase the odds of venous thromboembolism following traumatic injury? Trauma Surg Acute Care Open. 2016;1(1):e000003.PubMedPubMedCentralCrossRefGoogle Scholar
- 14.Singh A, Gosai F, Khoudari G, Vu L, Lopez R, Alkhouri N. Factors associated with deep vein thrombosis in type 2 diabetics with biopsy-proven non-alcoholic fatty liver disease. AJG. 2018;113:S464–5.CrossRefGoogle Scholar
- 15.Barbar S, Noventa F, Rossetto V, Ferrari A, Brandolin B, Perlati M, et al. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score. J Thromb Haemost. 2010;8(11):2450–7. https://doi.org/10.1111/j.1538-7836.2010.04044.x.CrossRefPubMedPubMedCentralGoogle Scholar
- 16.Piazza G, Goldhaber SZ, Kroll A, Goldberg RJ, Emery C, Spencer FA. Venous thromboembolism in patients with diabetes mellitus. Am J Med. 2012;125(7):709–16.PubMedPubMedCentralCrossRefGoogle Scholar
- 17.Chung W-S, Lin C-L, Kao C-H. Diabetes increases the risk of deep-vein thrombosis and pulmonary embolism. Thromb Haemost. 2015;114(10):812–8.PubMedCrossRefPubMedCentralGoogle Scholar
- 18.Di Minno MND, Tufano A, Rusolillo A, Di Minno G, Tarantino G. High prevalence of nonalcoholic fatty liver in patients with idiopathic venous thromboembolism. World J Gastroenterol. 2010;16(48):6119–22.PubMedPubMedCentralCrossRefGoogle Scholar
- 19.Jones EW, Mitchell JR. Venous thrombosis in diabetes mellitus. Diabetologia. 1983;25(6):502–5.PubMedCrossRefPubMedCentralGoogle Scholar
- 20.Lmkes BA, Hermanides J, Devries JH, Hollenman F, Meijers JCM, Hoekstra JBL. Hyperglycemia: a prothrombotic factor? J Thromb Haemost. 2010;8(8):1663–9.CrossRefGoogle Scholar
- 21.Byrne CD, Targher G. NAFLD: a multisystem disease. J Hepatol. 2015;62(1):S47–64.PubMedCrossRefPubMedCentralGoogle Scholar
- 22.Ballestri S, Nascimbeni F, Romagnoli D, Baldelli E, Targher G, Lonardo A. Type 2 diabetes in non-alcoholic fatty liver disease and hepatitis C virus infection--liver: the "Musketeer" in the spotlight. Int J Mol Sci. 2016;17(3):355.PubMedPubMedCentralCrossRefGoogle Scholar
- 23.Lonardo A, Sookoian S, Pirola CJ, Targher G. Non-alcoholic fatty liver disease and risk of cardiovascular disease. Metabolism. 2016;65(8):1136–50.PubMedCrossRefPubMedCentralGoogle Scholar
- 24.European Association for the Study of the Liver (EASL), European Association for the Study of Diabetes (EASD), European Association for the Study of Obesity (EASO). EASL–EASD–EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease. J Hepatol. 2016;64(6):1388–402.CrossRefGoogle Scholar
- 25.Tsai AW, Cushman M, Rosamond WD, Heckbert SR, Polak JF, Folsom AR. Cardiovascular risk factors and venous thromboembolism incidence: the longitudinal investigation of thromboembolism etiology. Arch Intern Med. 2002;162(10):1182–9.PubMedCrossRefPubMedCentralGoogle Scholar
- 26.Pang H, Wang L, Liu J, Wang S, Yang Y, Yang T, et al. The prevalence and risk factors of venous thromboembolism in hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease. Clin Respir J. 2018;12(11):2573–80.PubMedCrossRefPubMedCentralGoogle Scholar
- 27.Furosemide - FDA prescribing information, side effects and uses [Internet]. [cited 2019 Jan 25]. Available from: https://www.drugs.com/pro/furosemide.html.
- 28.Grossman E, Verdecchia P, Shamiss A, Angeli F, Reboldi G, et al. Diabetes Care. 2011;34. https://doi.org/10.2337/dc11-s246.PubMedPubMedCentralCrossRefGoogle Scholar
- 29.Runyon BA. Care of patients with ascites. N Engl J Med. 1994;330(5):337–42.PubMedCrossRefPubMedCentralGoogle Scholar
- 30.Authors/Task Force Members, Rydén L, Grant PJ, Anker SD, Berne C, Cosentino F, et al. ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J. 2013;34(39):3035–87.CrossRefGoogle Scholar
- 31.Yuhara H, Steinmaus C, Corley D, Koike J, Igarashi M, Suzuki T, et al. Meta-analysis: the risk of venous thromboembolism in patients with inflammatory bowel disease. Aliment Pharmacol Ther. 2013;37(10):953–62.PubMedCrossRefPubMedCentralGoogle Scholar
- 32.Papa A, Scaldaferri F, Danese S, Guglielmo S, Roberto I, Bonizzi M, et al. Vascular involvement in inflammatory bowel disease: pathogenesis and clinical aspects. Dig Dis. 2008;26(2):149–55.PubMedCrossRefPubMedCentralGoogle Scholar
- 33.Miehsler W, Reinisch W, Valic E, Osterode W, Tillinger W, Feichtenschlager T, et al. Is inflammatory bowel disease an independent and disease specific risk factor for thromboembolism? Gut. 2004;53(4):542–8.PubMedPubMedCentralCrossRefGoogle Scholar
- 34.Kappelman MD, Horvath-Puho E, Sandler RS, Rubin DT, Ullman TA, Pedersen L, et al. Thromboembolic risk among Danish children and adults with inflammatory bowel diseases: a population-based nationwide study. Gut. 2011;60(7):937–43.PubMedCrossRefPubMedCentralGoogle Scholar
- 35.Grainge MJ, West J, Card TR. Venous thromboembolism during active disease and remission in inflammatory bowel disease: a cohort study. Lancet. 2010;375(9715):657–63.PubMedCrossRefPubMedCentralGoogle Scholar
- 36.Bernstein CN, Blanchard JF, Houston DS, Wajda A. The incidence of deep venous thrombosis and pulmonary embolism among patients with inflammatory bowel disease: a population-based cohort study. Thromb Haemost. 2001;85(3):430–4.PubMedCrossRefPubMedCentralGoogle Scholar
- 37.Nguyen GC, Sam J. Rising prevalence of venous thromboembolism and its impact on mortality among hospitalized inflammatory bowel disease patients. Am J Gastroenterol. 2008;103(9):2272–80.PubMedCrossRefPubMedCentralGoogle Scholar
- 38.Talbot RW, Heppell J, Dozois RR, Beart RW. Vascular complications of inflammatory bowel disease. Mayo Clin Proc. 1986;61(2):140–5.PubMedCrossRefPubMedCentralGoogle Scholar
- 39.Solem CA, Loftus EV, Tremaine WJ, Sandborn WJ. Venous thromboembolism in inflammatory bowel disease. Am J Gastroenterol. 2004;99(1):97–101.PubMedCrossRefPubMedCentralGoogle Scholar
- 40.Irving PM, Pasi KJ, Rampton DS. Thrombosis and inflammatory bowel disease. Clin Gastroenterol Hepatol. 2005;3(7):617–28.PubMedCrossRefPubMedCentralGoogle Scholar
- 41.Spina L, Saibeni S, Battaglioli T, Peyvandi F, de Franchis R, Vecchi M. Thrombosis in inflammatory bowel diseases: role of inherited thrombophilia. Am J Gastroenterol. 2005;100(9):2036–41.PubMedCrossRefPubMedCentralGoogle Scholar
- 42.Bernstein CN, Wajda A, Blanchard JF. The incidence of arterial thromboembolic diseases in inflammatory bowel disease: a population-based study. Clin Gastroenterol Hepatol. 2008;6(1):41–5.PubMedCrossRefPubMedCentralGoogle Scholar
- 43.Novacek G, Weltermann A, Sobala A, Tilg H, Petritsch W, Reinisch W, et al. Inflammatory bowel disease is a risk factor for recurrent venous thromboembolism. Gastroenterology. 2010;139(3). https://doi.org/10.1053/j.gastro.2010.05.026.CrossRefGoogle Scholar
- 44.Murthy SK, Nguyen GC. Venous thromboembolism in inflammatory bowel disease: an epidemiological review. Am J Gastroenterol. 2011;106(4):713–8.PubMedCrossRefPubMedCentralGoogle Scholar
- 45.Vaya A, Mira Y, Ferrando F, Contreras M, Estelles A, Espana F, et al. Hyperlipidaemia and venous thromboembolism in patients lacking thrombophilic risk factors. Br J Haematol. 2002;118(1):255–9.PubMedCrossRefPubMedCentralGoogle Scholar
- 46.Kawasaki T, Kambayashi J, Ariyoshi H, Sakon M, Suehisa E, Monden M. Hypercholesterolemia as a risk factor for deep-vein thrombosis. Thromb Res. 1997;88(1):67–73.PubMedCrossRefPubMedCentralGoogle Scholar
- 47.Kawasaki T, Kambayashi J, Sakon M. Hyperlipidemia: a novel etiologic factor in deep vein thrombosis. Thromb Res. 1995;79(2):147–51.PubMedCrossRefPubMedCentralGoogle Scholar