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. Author manuscript; available in PMC: 2016 Sep 1.
Published in final edited form as: Gen Hosp Psychiatry. 2015 May 28;37(5):387–398. doi: 10.1016/j.genhosppsych.2015.05.005

Table 3. Potential risk factors for posttraumatic stress disorder symptoms following solid organ transplantation.

Study (N) Measure of association Potential risk factor Outcome: posttraumatic stress symptoms/disorder
Stukas et al. 1999 [18] (N = 300) a Hierarchical logistic regressionb
  1. Group (caregiver)

  2. Female

  3. Family psychiatric history

  4. Personal psychiatric history

  5. Low friend support

  6. Low family cohesion

  7. Low mastery

  8. Low family cohesion × personal psychiatric history

  9. Low family cohesion × family psychiatric history

  1. OR: 1.60, n.s.

  2. OR: 3.36, P < 0.01

  3. OR: 1.18, n.s.

  4. OR: 3.04, P < 0.01

  5. OR: 2.24, P < 0.05

  6. OR: 1.37, n.s.

  7. OR: 1.60, n.s.

  8. P < 0.05

  9. P < 0.05

Hierarchical linear regressionb
  • (j) Group (caregiver)

  • (k) Gender

  • (l) Age

  • (m) Income

  • (n) Personal psychiatric history

  • (o) Low friend support

  • (p) Low family cohesion

  • (q) Low mastery

  • (r) High avoidant coping

  • (j) β: 0.02, n.s.

  • (k) β: 0.07, n.s.

  • (l) β: -0.26, P < 0.05

  • (m) β: -0.23, n.s.

  • (n) β: 0.89, P < 0.001

  • (o) β: 0.31, P < 0.05

  • (p) β: 0.22, n.s.

  • (q) β: 0.41, P < 0.01

  • (r) β: 0.11, n.s.

Dew et al. 2001b [20] (N = 63) χ2 test VAD as a bridge to heart transplantation n.s.
Dew et al. 2012 [21] (N = 239) Cox proportional hazards regression
  1. Female

  2. History of depression or anxiety disorder

  3. SF-36 PF at 2 months post-transplant

  4. Chronic dyspnea at 2 months post-transplant

  5. Poor social support from family caregiver

  6. Low support from religious faith

  7. High support seeking/expression of emotions

  8. High avoidance coping

  1. HR: 1.53 (95%CI: 0.76, 3.11)

  2. HR: 2.61 (95%CI: 1.21, 5.68)

  3. HR: 0.99 (95%CI: 0.98, 1.01)

  4. HR: 0.82 (95%CI: 0.69, 0.97)

  5. HR: 1.12 (95%CI: 0.57, 2.20)

  6. HR: 0.69 (95%CI: 0.32, 1.49)

  7. HR:0.89 (95%CI: 0.43, 1.83)

  8. HR: 1.61(95%CI: 0.80, 3.20)

Fukunishi et al. 2002 [22] (N = 95) χ2 test Pre-transplant alexithymia n.s.
Fukunishi et al. 2001 [23] (N = 275) χ2 test Hospital LOS, liver or kidney function, allograft rejection, major complications n.s.
Possemato et al. 2009 [24] (N = 63) Spearman's correlation
  1. Age

  2. Gender

  3. Education

  4. Ethnicity

  5. # of prior traumas

  1. R = -0.18, n.s.

  2. R = -0.13, n.s.

  3. R = 0.27, P ≤ 0.05

  4. R = 0.06, n.s.

  5. R = 0.39, P ≤ 0.01

Cohen et al. 2014 [27] (N = 25) Spearman's correlation Higher resilience R = -0.45, P = 0.02
Jin et al. 2012 [26] (N = 241) Stepwise multiple linear regression
  1. Age, gender, marital status, income, employment status, etiology of liver failure, donor type, time since transplant, immunosuppressive agent

  2. MELD score

  3. Complications

  4. Educational status

  1. n.s.

  2. β = 0.24, P = 0.01

  3. β = 4.96, P = 0.009

  4. β = -4.78, P = 0.01

Guimaro et al. 2011 [27] (N = 24) Mann-Whitney U Time from liver transplant (< 5 months vs. > 5 months) 24 vs. 15 IES-R points, P = 0.09
Possemato et al. 2010 [28] (N = 48) Repeated measures analysis of covariance Medical fact writing vs. Expressive writing 36 vs. 32 PCL-C points, P = 0.14
10 vs. 8 PCL-C intrusive symptom points, n.s.
13 vs. 12 PCL-C avoidant symptom points, n.s.
12 vs. 10 PCL-C arousal symptom points, P = 0.09
Baranyi et al. 2013 [29] (N = 126) Mann-Whitney U, χ 2, or Fisher's exact test
  1. Time since transplant

  2. Pre-transplant psychiatric diagnosis

  3. Pre-transplant benzodiazepine use (any vs. none)

  4. Post-transplant benzodiazepine use (any vs. none)

  5. Pre-transplant alcohol abuse (any vs. none)

  6. Post-transplant alcohol abuse (any vs. none)

  7. Gender

  8. Years of education/vocational training

  9. Employment status

  10. Age

  11. Type of transplant

  12. Post-operative medical complications

  13. Re-transplantation

Comparisons: PTSD vs. No PTSD
  1. 29 vs. 24 months, P = 0.14

  2. 44% vs. 11%, P = 0.001

  3. 16% vs. 3%, P = 0.02

  4. 21% vs. 11%, P = 0.02

  5. 16% vs. 20%, P = 1.00

  6. 5% vs. 5%, P = 1.00

  7. P = 0.59

  8. P = 0.85

  9. P = 0.09

  10. 49 vs. 53 years old, P = 0.04

  11. Liver (30%) vs. Lung (9%) vs. Heart (6%), P = 0.003

  12. P = 0.46

  13. 16% vs. 4%, P = 0.07

Multiple linear regression
  • (n) Age

  • (o) Gender

  • (p) Pre-transplant psychiatric diagnosis

  • (q) Re-transplantation

  • (r) Pre-transplant benzodiazepine use

  • (s) Liver transplant

  • (t) Lung transplant

  • (u) Post-operative medical complications

  • (v) Time since transplant

  • (w) Post-transplant SF-36 PCS

  • (x) Post-transplant SF-36 MCS

  • (y) Post-transplant occupation/work satisfaction

  • (z) Post-transplant benzodiazepine use

  • (n) β = 0.07, P = 0.44

  • (o) β = 0.10, P = 0.32

  • (p) β = 3.07, P = 0.04

  • (q) β = 4.84, P = 0.02

  • (r) β = 0.67, P = 0.50

  • (s) β = 0.10, P = 0.33

  • (t) β = -0.05, P = 0.62

  • (u) β = 0.12, P = 0.18

  • (v) β = 0.15, P = 0.11

  • (w) β = -0.33, P < 0.001

  • (x) β = -0.53, P < 0.001

  • (y) β = -0.20, P = 0.004

  • (z) β = 0.07, P = 0.28

Gries et al. 2013 [30] (N = 210) Bivariate linear regression
  1. Younger age

  2. Lower income

  3. Unmarried

  4. Prior traumatic event

  5. Lower post-transplant FVC or FEV1

  6. Acute cellular rejection

  7. Bronchiolitis obliterans syndrome

  8. Time since transplant

  9. Idiopathic pulmonary fibrosis vs. COPD

  1. P < 0.001

  2. P = 0.001

  3. P = 0.001

  4. P = 0.003

  5. P < 0.001

  6. P < 0.001

  7. P = 0.01

  8. P = 0.63

  9. P = 0.05

Multiple linear regressionc
  • (j) Age

  • (k) Female

  • (l) Pre-Transplant Pulmonary Diagnosis (COPD is reference):

  • (11) Idiopathic pulmonaryfibrosis

  • (12) Cystic fibrosis

  • (13) Pulmonary arterialhypertension

  • (14) Other(m) Private insurance

  • (n) Prior traumatic event

  • (o) Acute rejection

  • (p) Bronchiolitis obliterans syndrome

  • (j) β = 0.35, P < 0.001c

  • (k) β = -0.12, P = 0.10

  • (11) β = 0.02, P = 0.84

  • (12) β = 0.09, P = 0.32

  • (13) β = 0.005, P = 0.94

  • (14) β = 0.03, P = 0.65

  • (m) β = 0.23, P < 0.001c

  • (n) β = -0.25, P < 0.001c

  • (o) β = -0.10, P = 0.10

  • (p) β = -0.18, P = 0.005c

Favaro et al. 2011 [33] (N = 107) χ2 test
  1. Time on transplant wait list, acute rejection, immunosuppressant type, 1-year rejection score, pre-transplant smoking, education, marital status, gender, age, prior traumatic experience

  2. Low social support

  3. Prior major depression

  • (a) n.s.

  • (b1) Avoidant PTSD symptoms: P < 0.006

  • (b2) Sub-threshold PTSD: P < 0.01

  • (b3) Full PTSD: P < 0.04

  • (c) Full PTSD: P < 0.05, OR: 4.4 (95%CI: 1.0, 20.4)

Rothenhäusler et al. 2002 [34] (N = 75) Kruskal-Wallis one way analysis or χ2 test
  1. Female

  2. Age (median)

  3. Disabled

  4. Married

  5. Months since transplant (median)

  6. Days on transplant wait list (median)

  7. Median ICU LOS (days)

  8. Alcoholic liver disease

  9. Infectious hepatitis

  10. PBC/PSC

  11. Hepatic malignancy

  12. Miscellaneous liver disease

  13. Acute liver failure

  14. History of retransplantation

  15. History of recurrence of HBV/HCV

  16. In-hospital delirium

  17. Post-operative GI bleeding

  18. Post-operative infections

  19. Acute rejection

  20. Cardiovascular complications

  21. Acute renal failure

  22. ARDS

  23. Number of in-ICU complications (median)

  24. Post-transplant cognition (median SKT score)

  25. Post-transplant depression (median HAM-D score)

  26. Social support (median Social Support Scale score)

Comparisons: Full PTSD vs. Sub-threshold PTSD vs. No PTSD
  1. 0% vs. 54% vs. 43%, P = 0.16

  2. 44 vs. 51 vs. 55, P = 0.20

  3. 50% vs.46% vs. 33%, P = 0.55

  4. 50% vs. 77% vs. 81%, P = 0.29

  5. 42 vs. 63 vs. 43, P = 0.27

  6. 8 vs. 11 vs. 28, P = 0.03

  7. 13 vs. 14 vs. 9, P = 0.01

  8. 0% vs. 38% vs. 33%, P = 0.30

  9. 75% vs. 8% vs. 22%, P = 0.30

  10. 0% vs. 8% vs. 14%, P = 0.30

  11. 0% vs. 8% vs. 7%, P = 0.30

  12. 25% vs. 38% vs. 24%, P = 0.30

  13. 0% vs. 31% vs. 15%, P = 0.27

  14. 0% vs. 44% vs. 9%, P = 0.06

  15. 100% vs. 22% vs. 26%, P = 0.32

  16. 25% vs. 61% vs. 29%, P = 0.08

  17. 50% vs.31% vs. 28%, P = 0.63

  18. 50% vs. 77% vs. 50%, P = 0.21

  19. 50% vs. 92% vs. 53%, P = 0.03

  20. 50% vs. 46% vs. 29%, P = 0.39

  21. 25% vs. 69% vs. 43%, P = 0.16

  22. 25% vs. 8% vs. 5%, P = 0.30

  23. 3 vs. 4 vs. 3, P = 0.04

  24. 5 vs. 3 vs. 1, P < 0.01

  25. 22 vs. 7 vs. 2, P < 0.001

  26. 33 vs. 63 vs. 71, P < 0.01

Bunzel et al. 2007 [35] (N = 38) Mann-Whitney U or Wilcoxon or Fisher's exact test
  1. Spouse with PTSD vs. Spouse without PTSD

  2. VAD device type, age, cardiac diagnosis, pulsatile vs. non-pulsatile mechanical circulatory assist device

  • (a1) 10 vs. 5 IES-R avoidance symptom points, P = 0.008

  • (a2) 12 vs. 4 IES-R hyper-arousal symptom points, P = 0.001

  • (b) n.s.

Bunzel et al. 2005 [37] (N = 41) Wilcoxon test Pulsatile vs. non-pulsatile mechanical circulatory assist device n.s.

Abbreviations (in alphabetical order): ARDS = acute respiratory distress syndrome; β = linear regression coefficient in multivariable model; CI = confidence interval; COPD = chronic obstructive pulmonary disease; FEV1 = forced expiratory volume in 1 second; FVC = forced vital capacity; HAM-D = Hamilton Rating Scale for Depression; HR = hazard ratio; HBV = hepatitis B virus; HCV = hepatitis C virus; ICU = intensive care unit; IES-R = Impact of Events Scale-Revised; LOS = length of stay; MELD = Model for End-Stage Liver Disease; n.s. = not significant; OR = odds ratio; PCL-C = PTSD Checklist-Civilian version; PTSD = posttraumatic stress disorder; PBC = primary biliary sclerosis; PSC = primary sclerosing cholangitis; SF-36 MCS = Short-Form 36 Mental Component Summary; SF-36 PCS = Short Form-36 Physical Component Summary; SF-36 PF = Short-Form-36 Physical Functioning score; SKT = Short Cognitive Performance Test; VAD = ventricular assist device.

a

The analyses examining potential risk factors for post-transplant PTSD included both transplant recipients and their caregivers.

b

Regression models were adjusted for recipient vs. caregiver status.

c

In the multivariable linear regression models, the PCL-C outcome underwent inverse transformation. Therefore, a negative β coefficient corresponds to greater PTSD symptoms, while a positive β coefficient corresponds to fewer PTSD symptoms.