| Literature DB >> 26475323 |
Yesim Erim1, Yeliz Kahraman2, Frank Vitinius3, Mingo Beckmann4, Sylvia Kröncke5, Oliver Witzke6.
Abstract
BACKGROUND: Due to the shortage of cadaveric organs, living kidney donation has begun to serve as the most crucial organ pool. Transplant centers have a legitimate interest in expanding the pool of donors. A psychosocial evaluation is established in transplantation centers to prevent donors from possible emotional harm in the aftermath of donation. We explored if the resilience questionnaire is an appropriate measure of the mental stability. To standardize procedures of psychosocial evaluation and to optimize donor recruitment, we present our evaluation protocol and analyze the causes of exclusion from donation.Entities:
Mesh:
Year: 2015 PMID: 26475323 PMCID: PMC4608317 DOI: 10.1186/s12882-015-0160-z
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Evaluation protocol for potential living kidney donors - Course of the psychosomatic assessment
| Content | Carried out by | ||
|---|---|---|---|
| Step 1 | First information (informed consent) | Nephrologist/ Surgeon | |
| Step 2 | First psychosomatic assessment | 1. Mental stability, actual psychosocial situation | Different evaluators (two psychosomatic specialists) for donor and recipient |
| 2. Scrutinization and verification of the informed consent | |||
| 3. Verification of voluntariness taking relative behavioral patterns and neuroticisms of the donor into consideration | |||
| Step 3 | Other medical examinations | ||
| Step 4 | Second psychosomatic assessment | 1. Dynamics of the relationship between donor and recipient | Donor, recipient and their evaluators (=advocates) |
| 2. Anticipation of the transplantation | |||
| Step 5 | Transplantation board | External assessment consisting of | Members of the transplantation board by the general medical association (a physician, a magistrate, a psychologist or specialist of psychosomatics) |
| Evaluation by the general medical association | - verification of voluntariness | ||
| - exclusion of financial interests | |||
| Final Informed consent | Last preparations prior to the operation | Anesthesiologist, Surgeon | |
Demographical features
| Donor candidates ( | Eligible donors (n =142) | Excluded donors ( | Statistical comparison | |
|---|---|---|---|---|
| Age | ||||
| mean (SD) | 50.9 (10.09) | 50.72 (10.34) | 53.42 (6.34) | n.s. |
| range | 23 – 72 | 23 – 72 | 43 – 61 | |
| Gender | ||||
| female | 86 (55.8 %) | 78 (54.9 %) | 8 (66.7 %) | n.s. |
| male | 68 (44.2 %) | 64 (45.1 %) | 4 (33.3 %) | |
| Family status | ||||
| single | 11 (7.1 %) | 10 (7.0 %) | 1 (8.3 %) | n.s. |
| married | 115 (74.1 %) | 107 (75.4 %) | 8 (66.7 %) | |
| widowed | 4 (2.6 %) | 4 (2.8 %) | - | |
| separated/ divorced | 24 (15.6 %) | 21 (14.8 %) | 3 (25 %) | |
| no data | - | - | - | |
| Education level | ||||
| without certificate | 4 (2.6 %) | 4 (2.8 %) | - | n.s. |
| middle school | 108 (70.6 %) | 96 (67.7 %) | 12 (100 %) | |
| university-entrance | 41 (26.8 %) | 40 (28.2 %) | - | |
| diploma | ||||
| not reported | 1 (0.6 %) | 2 (1.4 %) | - | |
| Nationality | ||||
| German | 145 | 133 (93.7 %) | 12 (100 %) | n.s. |
| others | 9 | 9 (6.3 %) | - | |
| Donotation for | ||||
| parents for children | 40 (26.5 %) | 38 (26.8 %) | 2 (16.7 %) | .049* |
| children for parents | 1 (0.7 %) | 1 (0.7 %) | - | |
| spouses | 59 (38.3 %) | 57 (40.1 %) | 2 (16.7 %) | |
| partner | 9 (5.8 %) | 8 (5.6 %) | 1 (8.3 %) | |
| siblings | 27 (17.9 %) | 24 (16.9 %) | 3 (25 %) | |
| other relatives | 8 (5.3 %) | 7 (4.9 %) | 1 (8.3 %) | |
| non-relatives | 7 (4.6 %) | 4 (2.8 %) | 3 (25 %) | |
| no data | 3 (1.9 %) | 3 (2.1 %) | - | |
| Recipients | ||||
| on dialysis | 110 (71.4 %) | 99 (69.7 %) | 11 (91.7 %) | |
| pre-emptive | 40 (26 %) | 40 (28.2 %) | - | |
| no data | 4 (2.6 %) | 3 (2.1 %) | 1 (8.3 %) |
* Fischer`s z-value
Excluded kidney donors (n = 12)
| Age (yrs) | Gender | Donation for | ICD-10 Diagnoses | Reason for exclusion |
|---|---|---|---|---|
| 44 | ♀ | Partner | Substance dependency F19.20 | Lacking mental stability |
| 43 | ♀ | Husband | Lacking mental stability | |
| 59 | ♀ | Child | Conflict of ambivalence | |
| 56 | ♀ | Husband | Conflict of ambivalence | |
| 55 | ♀ | Friend | Recurrent depressive disorder F33.1 Somatoform pain disorder F45.40 | Lacking mental stability |
| 48 | ♂ | Non-related | No obvious close relationship | |
| 54 | ♀ | Child | Lacking mental stability | |
| 61 | ♀ | Non-related | No obvious close relationship Lacking mental stability | |
| 61 | ♀ | Non-related | No obvious close relationship | |
| 56 | ♂ | Sibling | Recurrent depressive disorder F33.1 | Lacking mental stability |
| 57 | ♂ | Sibling | Alcohol dependency F10.20 | Lacking mental stability |
| 47 | ♂ | Child | Alcohol dependency F10.20 | Lacking mental stability |
| Medical excuse |
Fig. 1Mean values of the Resilience Scale in potential living kidney donors: Eligible vs. excluded donors
Gender-specific mean scores of resilience and quality of life in comparison to the norm
| Female donor candidates (A) | Female German population (B) | Male donor candidates (C) | Male German population (D) | Group comparison | |||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | (SD) | Mean | (SD) | Mean | (SD) | Mean | (SD) | ||
| Resilience scale | 79.54 | (9.21) | -b | 75.69 | (11.09) | -b | A > C*** | ||
| Physical QoLa | 85.49 | (11.48) | 75.35 | (18.13) | 86.36 | (11.02) | 78.84 | (16.93) | A > B***; C > D ***; A = C |
| Psychological QoLa | 78.71 | (12.84) | 72.49 | (16.28) | 81.67 | (11.44) | 75.88 | (14.72) | A > B***; C > D ***; A = C |
| Social QoLa | 79.75 | (15.04) | 71.41 | (18.78) | 79.59 | (14.38) | 72.34 | (18.21) | A > B***; C > D***; A = C |
| Enviromental QoLa | 83.63 | (12.38) | 69.73 | (14.05) | 82.15 | (11.28) | 71.17 | (14.28) | A > B***; C > D ***; A = C |
a: Domains of WHOQOL-Bref; b: gender-specific values are not available; *p < .05; **p < .01;***p < .001
Fig. 2Mean values of Quality of life in potential living kidney donors: Eligible vs. excluded donors
Fig. 3Health-relatd Quality of life: Progression after donation
Correlations among health-related quality of life, resilience and sociodemographic features for the total sample (N = 154)
| Resilience | Age | Gender | Physical QoLa | Psychological QoLa | Social QoLa | |
|---|---|---|---|---|---|---|
| Age | .064 | |||||
| Gender | .201* | |||||
| Physical QoLa | .420*** | -.216* | -.039 | |||
| Psychological QoLa | .469*** | -.096 | -.120 | .703*** | ||
| Social relationships QoLa | .329** | -.069 | .005 | .501*** | .625*** | |
| Environmental QoLa | .421*** | -.047 | .062 | .527*** | .612*** | .599*** |
aDomains of WHOQOL-Bref * < .05 level (two-tailed) ** < .01 level (two-tailed) *** < .001 (two-tailed)
Stepwise multiple regression analyses for the total sample (N = 154)
| Dependent variable | Significant predictors | beta | p | Adj. R2 |
|---|---|---|---|---|
| Model 1b | 1. Resilience | .428 | .001 | 21.8 % |
| Physical Healtha | 2. Age | -.230 | .001 | |
| Model 2b | 1. Resilience | .502 | .001 | 24.6 % |
| Psychological Healtha | 2. Gender | -.195 | .001 | |
| Model 3b | 1. Resilience | .329 | .001 | 10.2 % |
| Social relationshipsa | ||||
| Model 4b | 1. Resilience | .421 | .001 | 17.2 % |
| Environmental conditionsa |
aDomains of WHOQOL-Bref. bIndependent variables in each regression model: Resilience, Age, Gender