| Literature DB >> 34912831 |
Chieh-Ching Yen1,2, Chih-Kai Wang1,3, Chung-Hsien Chaou1,3,4, Shou-Yen Chen1,3,4, Jhe-Ping Lin1,3, Chip-Jin Ng1,3.
Abstract
Background: Patients with splenic infarction (SI) are associated with a prothrombotic state and are vulnerable to subsequent thromboembolic complications. However, due to its rarity, there is no established treatment modality in this population. We aimed to examine the effect of anticoagulant therapy in SI patients.Entities:
Keywords: anticoagulant; mortality; outcome; splenic infarction; treatment
Year: 2021 PMID: 34912831 PMCID: PMC8666632 DOI: 10.3389/fmed.2021.778198
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Flow chart of patient selection.
Figure 2Distribution of SI etiologies stratified by patient age. *P < 0.05.
Patient characteristics according to anticoagulant therapy.
|
|
|
|
|
|---|---|---|---|
| Age (year) | 58.0 ± 14.5 | 64.2 ± 17.3 | 0.075 |
| Male | 31 (68.9) | 24 (58.5) | 0.318 |
| Prior anticoagulant use | 6 (13.3) | 1 (2.4) | 0.112 |
| Prior antiplatelet use | 10 (22.2) | 6 (14.6) | 0.366 |
| Concomitant antiplatelet use | 7 (15.6) | 7 (17.1) | 0.849 |
| Systolic blood pressure (mmHg) | 145.7 ± 26.9 | 147.3 ± 34.2 | 0.808 |
| Diastolic blood pressure (mmHg) | 88.4 ± 15.2 | 80.6 ± 20.1 | 0.045 |
| Heart rate (beats/min) | 89.9 ± 24.1 | 91.0 ± 21.6 | 0.838 |
| Smoking history | 19 (42.2) | 12 (29.3) | 0.211 |
|
| |||
| Hypertension | 23 (51.1) | 23 (56.1) | 0.643 |
| Diabetes mellitus | 9 (20.0) | 12 (29.3) | 0.318 |
| Coronary artery disease | 8 (17.8) | 10 (24.4) | 0.452 |
| Congestive heart failure | 8 (17.8) | 5 (12.2) | 0.470 |
| Atrial fibrillation | 18 (40) | 9 (22) | 0.072 |
| Chronic kidney disease | 6 (13.3) | 7 (17.1) | 0.629 |
| Prior VTE | 3 (6.7) | 0 (0) | 0.243 |
| Prior stroke | 6 (13.3) | 4 (9.8) | 0.741 |
| Liver cirrhosis | 1 (2.2) | 9 (22) | 0.006 |
Count data are expressed as number (percentage) and continuous values are expressed as mean ± SD.
VTE, venous thromboembolism.
Clinical presentations, laboratory exams, and CT findings of patients with splenic infarction according to anticoagulant therapy.
|
|
|
|
|
|---|---|---|---|
|
|
| ||
|
| |||
| LUQ/left flank pain | 31 (68.9) | 24 (58.5) | 0.318 |
| Abdominal pain | 10 (22.2) | 5 (12.2) | 0.221 |
| Back pain | 7 (15.6) | 6 (14.6) | 0.905 |
| Nausea/Vomiting | 10 (22.2) | 9 (22.0) | 0.976 |
| Dyspnea | 7 (15.6) | 1 (2.4) | 0.060 |
| Fever | 4 (8.9) | 5 (12.2) | 0.731 |
|
| |||
| White cell count (103/uL) | 11.4 ± 4.1 | 15.8 ± 15.2 | 0.077 |
| Hemoglobin (g/dL) | 14.2 ± 2.6 | 12.0 ± 2.9 | 0.001 |
| Platelet (103/uL) | 243.8 ± 114.0 | 193.7 ± 109.8 | 0.055 |
| INR | 1.2 ± 0.4 | 1.2 ± 0.2 | 0.380 |
| Creatinine (mg/dL) | 1.0 ± 0.4 | 1.0 ± 0.3 | 0.932 |
| AST (U/L) | 54.7 ± 54.8 | 46.8 ± 46.2 | 0.698 |
|
| |||
| Single infarction | 31 (68.9) | 27 (65.9) | 0.764 |
| Multiple infarction | 14 (31.1) | 14 (34.1) | 0.764 |
| Splenomegaly | 5 (11.1) | 8 (19.5) | 0.277 |
Count data are expressed as number (percentage) and continuous values are expressed as mean ± SD.
LUQ, left upper quadrant; INR, international normalized ratio; AST, aspartate aminotransferase.
Not localized to left upper quadrant.
Figure 3Two patterns of splenic infarction on contrast-enhanced CT. (A) Wedge infarct (arrow) in a 49-year-old male with celiac trunk dissection. (B) Multiple infarcts (arrowhead) in an 80-year-old woman with acute pancreatitis.
Primary outcomes of splenic infarction patients with or without anticoagulation at final follow-up.
|
|
|
|
|
|---|---|---|---|
|
|
| ||
| Thromboembolic event | 3 (6.7) | 8 (19.5) | 0.075 |
| Bleeding event | 9 (20) | 7 (17.1) | 0.728 |
| All-cause mortality | 2 (4.4) | 13 (31.7) | 0.001 |
Count data are expressed as number (percentage) and continuous values are expressed as mean ± SD.
Figure 4Kaplan-Meier survival curves of patients with all-cause mortality.
Univariate and multivariate analyses of risk factors for all-cause mortality with Cox proportional hazards model.
|
|
| |||
|---|---|---|---|---|
|
|
|
|
| |
| Age | 1.04 (1.005, 1.08) | 0.025 | 1.04 (0.99, 1.08) | 0.099 |
| Male | 0.30 (0.10, 0.89) | 0.030 | 0.38 (0.11, 1.32) | 0.128 |
| Smoking history | 0.83 (0.28, 2.45) | 0.740 | ||
| Hypertension | 0.78 (0.28, 2.17) | 0.634 | ||
| Diabetes mellitus | 1.24 (0.42, 3.65) | 0.691 | ||
| Coronary artery disease | 1.11 (0.31, 4.00) | 0.868 | ||
| Congestive heart failure | 0.51 (0.06, 3.84) | 0.509 | ||
| Atrial fibrillation | 0.92 (0.31, 2.71) | 0.882 | ||
| Chronic kidney disease | 2.22 (0.68, 7.27) | 0.189 | ||
| Prior stroke | 3.50 (0.93, 13.18) | 0.064 | 13.15 (2.39, 72.27) | 0.003 |
| Liver cirrhosis | 9.08 (3.04, 27.17) | <0.001 | 8.71 (1.29, 59.01) | 0.027 |
| Multiple splenic infarction | 0.79 (0.25, 2.51) | 0.695 | ||
| Splenomegaly | 5.94 (1.98, 17.83) | 0.001 | 1.23 (0.22, 7.05) | 0.813 |
| Anticoagulant therapy | 0.07 (0.01, 0.49) | 0.007 | 0.06 (0.007, 0.48) | 0.008 |
HR, hazard ratio; 95% CI, 95% confidence interval.
Anticoagulant therapy was analyzed as a time-dependent covariate by time-dependent Cox regression model.
p < 0.05.
Figure 5Kaplan-Meier survival curves of patients with thromboembolic events.
Univariate and multivariate analyses of risk factors for thromboembolic complications with Cox proportional hazards model.
|
|
| |||
|---|---|---|---|---|
|
|
|
|
| |
| Age | 1.02 (0.98, 1.06) | 0.369 | ||
| Male | 1.61 (0.43, 6.09) | 0.481 | ||
| Smoking history | 1.01 (0.29, 3.45) | 0.990 | ||
| Hypertension | 0.66 (0.20, 2.18) | 0.499 | ||
| Diabetes mellitus | 0.22 (0.03, 1.69) | 0.144 | ||
| Coronary artery disease | 1.49 (0.39, 5.61) | 0.559 | ||
| Congestive heart failure | 1.68 (0.36, 7.82) | 0.508 | ||
| Atrial fibrillation | 0.17 (0.02, 1.31) | 0.088 | 0.30 (0.04, 2.48) | 0.262 |
| Chronic kidney disease | 2.36 (0.59, 9.44) | 0.225 | ||
| Prior stroke | 1.29 (0.16, 10.32) | 0.808 | ||
| Liver cirrhosis | 1.24 (0.16, 9.90) | 0.837 | ||
| Multiple splenic infarction | 0.91 (0.24, 3.44) | 0.886 | ||
| Splenomegaly | 0.04 (<0.001, 109.4) | 0.424 | ||
| Anticoagulant therapy | 0.57 (0.13, 2.45) | 0.446 | 0.71 (0.16, 3.09) | 0.707 |
HR, hazard ratio; 95% CI, 95% confidence interval.
Anticoagulant therapy was analyzed as a time-dependent covariate by time-dependent Cox regression model.