Skip to main content

Table 4 Risk factor analysis of in-hospital mortality of patients with splenic injuries

From: Hospital level variations in the trends and outcomes of the nonoperative management of splenic injuries – a nationwide cohort study

 

Univariate analysis

Multivariate analysis

Non-operative management

operative management

p value

Odds ratio

p value

Gender

    

0.867

  

 Male

7497

(70.7%)

665

(70.4%)

 

1

 

 Female

3109

(29.3%)

280

(29.6%)

 

1.004 (0.842–1.195)

0.961

Age group

    

< 0.001*

  

 18–40

5851

(55.2%)

359

(38.0%)

 

1

 

 40–65

3706

(34.9%)

345

(36.5%)

 

1.572 (1.302–1.897)

< 0.001 *

 > 65

1049

(9.9%)

241

(25.5%)

 

4.228 (3.336–5.356)

< 0.001 *

Hospital level

    

0.344

  

 Tertiary center

4104

(38.7%)

381

(40.3%)

 

1

 

 Non-center hospital

6502

(61.3%)

564

(59.7%)

 

0.943 (0.801–1.111)

0.484

Management

    

< 0.001*

  

 Non-operative

6147

(58.0%)

350

(37.0%)

 

1

 

 Surgical

4459

(42.0%)

595

(63.0%)

 

0.974 (0.813–1.166)

0.777

Associated injury

 Traumatic brain injury

1546

(14.6%)

398

(42.1%)

< 0.001*

4.693 (3.963–5.558)

< 0.001 *

 Cardiopulmonary injury

546

(5.1%)

93

(9.8%)

< 0.001*

2.078 (1.566–2.734)

< 0.001 *

 Hemothorax

1667

(15.7%)

241

(25.5%)

< 0.001*

1.474 (1.219–1.777)

< 0.001 *

 Gastrointestinal injury

820

(7.7%)

140

(14.8%)

< 0.001*

1.579 (1.240–2.001)

< 0.001 *

 Kidney injury

1141

(10.8%)

104

(11.0%)

0.857

1.237 (0.958–1.584)

0.097

 Liver injury

1157

(10.9%)

263

(27.8%)

< 0.001*

2.694 (2.224–3.259)

< 0.001 *

 Pelvic fracture

378

(3.6%)

73

(7.7%)

< 0.001*

1.941 (1.406–2.652)

< 0.001 *

 Femoral fracture

420

(4.0%)

63

(6.7%)

< 0.001*

1.028 (0.731–1.428)

0.870

 Spine fracture

357

(3.4%)

37

(3.9%)

0.425

0.857 (0.559–1.282)

0.465

Underlying disease

 Diabetes mellitus

655

(6.2%)

97

(10.3%)

< 0.001*

0.955 (0.706–1.281)

0.761

 Hypertension

944

(8.9%)

132

(14.0%)

< 0.001*

1.016 (0.764–1.342)

0.912

 Coronary artery disease

294

(2.8%)

60

(6.3%)

< 0.001*

1.175 (0.801–1.703)

0.402

 COPD

162

(1.5%)

36

(3.8%)

< 0.001*

1.711 (1.080–2.652)

0.019 *

 Cirrhosis

381

(3.6%)

128

(13.5%)

< 0.001*

3.861 (2.927–5.072)

< 0.001 *

 Chronic kidney disease

57

(0.5%)

24

(2.5%)

< 0.001*

1.938 (0.804–4.584)

0.136

 Cancer

197

(1.9%)

35

(3.7%)

< 0.001*

1.107 (0.693–1.722)

0.660

RBC transfusion > 20 Ua

635

(6.0%)

507

(53.7%)

< 0.001*

13.285 (11.037–16.025)

< 0.001 *

Year of injury

    

0.043

  

 2002–2005

3438

(32.4%)

301

(31.9%)

 

1

 

 2006–2009

3542

(33.4%)

351

(37.1%)

 

1.152 (0.951–1.397)

0.149

 2010–2013

3626

(34.2%)

293

(31.0%)

 

1.066 (0.872–1.303)

0.534

  1. Multivariate analysis is calculated by logistic regression, () represent 95%confidence interval in odds ration
  2. PRBC packed red blood cell
  3. *Statistically significant difference (p < 0.05)
  4. aTaiwan unit, blood product separated from 250 ml of whole blood
Back to article page

Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine

ISSN: 1757-7241