Volume 14, Issue 11 pp. 2535-2544
Original Article
Free Access

Emotional Well-Being of Living Kidney Donors: Findings From the RELIVE Study

S. G. Jowsey

Corresponding Author

S. G. Jowsey

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN

The William J. von Liebig Transplant Center, Mayo Clinic, Rochester, MN

Corresponding author: Sheila G. Jowsey, [email protected]Search for more papers by this author
C. Jacobs

C. Jacobs

College of Pharmacy and School of Nursing, University of Minnesota, Minneapolis, MN

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C. R. Gross

C. R. Gross

College of Pharmacy and School of Nursing, University of Minnesota, Minneapolis, MN

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B. A. Hong

B. A. Hong

Washington University School of Medicine, St. Louis, MO

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E. E. Messersmith

E. E. Messersmith

Arbor Research Collaborative for Health, Ann Arbor, MI

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B. W. Gillespie

B. W. Gillespie

Department of Biostatistics, University of Michigan, Ann Arbor, MI

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T. J. Beebe

T. J. Beebe

Department of Health Sciences Research, Mayo Clinic, Rochester, MN

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C. Kew

C. Kew

Division of Nephrology, University of Alabama at Birmingham, Birmingham, AL

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A. Matas

A. Matas

Department of Surgery, School of Medicine, University of Minnesota, Minneapolis, MN

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R. D. Yusen

R. D. Yusen

Washington University School of Medicine, St. Louis, MO

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M. Hill-Callahan

M. Hill-Callahan

Arbor Research Collaborative for Health, Ann Arbor, MI

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J. Odim

J. Odim

National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD

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S. J. Taler

S. J. Taler

The William J. von Liebig Transplant Center, Mayo Clinic, Rochester, MN

Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN

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the RELIVE Study Group
First published: 07 October 2014
Citations: 63

Abstract

Following kidney donation, short-term quality of life outcomes compare favorably to US normative data but long-term effects on mood are not known. In the Renal and Lung Living Donors Evaluation Study (RELIVE), records from donations performed 1963–2005 were reviewed for depression and antidepressant use predonation. Postdonation, in a cross-sectional cohort design 2010–2012, donors completed the Patient Health Questionnaire (PHQ-9) depression screening instrument, the Life Orientation Test-Revised, 36-Item Short Form Health Survey and donation experience questions. Of 6909 eligible donors, 3470 were contacted and 2455 participated (71%). The percent with depressive symptoms (8%; PHQ-9 > 10) was similar to National Health and Nutrition Examination Survey participants (7%, p = 0.30). Predonation psychiatric disorders were more common in unrelated than related donors (p = 0.05). Postdonation predictors of depressive symptoms included nonwhite race OR = 2.00, p = 0.020), younger age at donation (OR = 1.33 per 10 years, p = 0.002), longer recovery time from donation (OR = 1.74, p = 0.0009), greater financial burden (OR = 1.32, p = 0.013) and feeling morally obligated to donate (OR = 1.23, p = 0.003). While cross-sectional prevalence of depression is comparable to population normative data, some factors identifiable around time of donation, including longer recovery, financial stressors, younger age and moral obligation to donate may identify donors more likely to develop future depression, providing an opportunity for intervention.

Abbreviations

  • DCC
  • Data Coordinating Center
  • HRSA
  • Health Resources and Services Administration
  • LOT-R
  • The Life Orientation Test-Revised
  • Mayo
  • Mayo Clinic, Rochester, MN
  • MCS
  • Mental Component Score
  • NHANES
  • National Health and Nutrition Examination Survey
  • NHLBI
  • National Heart Lung and Blood Institute
  • NIAID
  • National Institute of Allergy, Immunology and Infectious Diseases
  • PCS
  • Physical Component Score
  • PHQ-9
  • Patient Health Questionnaire
  • QOL
  • quality of life
  • RELIVE
  • Renal and Lung Living Donors Evaluation Study
  • SF-36
  • 36-Item Short Form Health Survey
  • UAB
  • University of Alabama at Birmingham, AL
  • UMN
  • University of Minnesota, Minneapolis, MN
  • Introduction

    Existing guidelines for donor selection aim to select donors at low risk for adverse mental health outcomes 1. Yet donors experience multiple stressors including surgery and postoperative pain, need for opiate pain medications, social disruption, time off work with potential financial strain and decreased exercise while recuperating. In addition, when recipient and donor rely on the same family members for assistance during their postoperative recovery, support for the donor may be attenuated. Each of these factors may contribute to risk for depression, and numerous studies have reported that kidney donors may experience short-term mood changes after kidney donation 1-13. The risk for developing depression may be mitigated by preexisting dispositional traits such as an optimistic perception of outcomes. Optimism has been reported to impact long-term medical outcomes and is associated with less depression 14-20. Whether donors with higher optimism are better equipped to withstand the rigors of donation with less distress is unknown.

    The Renal and Lung Living Donors Evaluation Study (RELIVE) is a research consortium funded by the National Institute of Allergy, Immunology and Infectious Diseases, the Health Resources and Services Administration and the National Heart Lung and Blood Institute to evaluate intermediate to long-term medical and psychosocial outcomes of live kidney donors. The study cohort consisted of 6909 donors who donated between 1963 and 2005, with follow-up by mailed survey in 2010–2012. In this cross-sectional study, we aimed to estimate the proportion of donors with current depressive symptoms, and test potential predictors of depressive symptoms after donation.

    Methods

    The RELIVE study has been described in detail 21, 22. This cross-sectional cohort study specifically addressed risk for depression in donors who underwent kidney donation between 1963 and 2005 at one of three large US centers: Mayo Clinic, Rochester, MN (Mayo); University of Alabama at Birmingham, AL (UAB); and University of Minnesota, Minneapolis, MN (UMN), with a Data Coordinating Center (DCC) at the University of Michigan and Arbor Research Collaborative for Health, Ann Arbor, MI.

    Trained study staff abstracted data from medical records of all living kidney donors at the three sites (n = 8951) including predonation psychiatric history, use of psychotropic medications, presence of chronic pain and history of chemical dependency. The data came from standardized chart abstraction performed at each site, however the actual donor evaluations were not standardized and occurred prior to our study. Starting with the last available mailing address, an attempt was made to contact each donor by mail. If the potential study participant did not respond to the initial letter of invitation within 2–4 weeks, a second mailing was sent, followed by two to three telephone calls. Donors who consented to participate completed a short questionnaire and were invited to complete more in-depth questionnaires on medical and psychosocial health status. Survey procedures and characteristics of RELIVE donors have been reported 21.

    Use of validated instruments

    The Patient Health Questionnaire (PHQ-9) Depression Scale 23 is widely used to screen for depression in the medical and general population. The questionnaire contains nine items including questions on loss of interest, depressed mood, sleep, appetite and energy changes, low self-worth, difficulty concentrating, psychomotor activity changes and suicidal ideation. For each item, responses are scored between 0 and 3, ranging from “not at all” to “nearly every day”; overall scores can range from 0 to 27. Construct validity and criterion validity have been tested in primary care populations, with a PHQ-9 score ≥10 found to have 88% sensitivity and 88% specificity for clinical depression 23. Scores of 5, 10, 15 and 20 represent cutpoints for mild, moderate, moderately severe and severe depression. Any donor revealing potentially worrisome psychological responses was contacted by a clinician from the relevant center and referred for additional help if deemed necessary.

    The Life Orientation Test-Revised 24 (LOT-R) identifies individuals who maintain positive expectations in adversity. This measure utilizes six items representing an optimistic trait or disposition toward optimism. Respondents indicate their agreement with items on a 0–4 scale (“strongly disagree” to “strongly agree”), with overall scores ranging from 0 to 24 and higher scores indicating optimism. Previous studies have demonstrated acceptable internal consistency, convergent and discriminant validity 24. Normative data were available for both medical and nonmedical populations.

    The 36-Item Short Form Health Survey (SF-36, version 2) 25, is a validated and extensively used measure of quality of life (QOL) reflecting perceptions over the previous 4 weeks. It is divided into two broad scales of behavioral functioning, the Physical Component Score (PCS) and the Mental Component Score (MCS). MCS was not included in the analysis because of its strong correlation (r = −0.77) with the depression screening instrument, the PHQ-9. Normative scores exist for the general population and patients with medical conditions.

    RELIVE study donation-specific questions

    Utilizing questions described and used in the kidney donor literature 26, members of the RELIVE consortium developed a set of questions on the donation experience, attitudes about donation and donation-related relationships. Specific topics included, donor recovery time (e.g., “How long after donation surgery did it take you to return to your usual daily activities, such as walking, driving a car or shopping for groceries?” Less than 3 months, 3–6 months, more than 6 months or I never returned to my usual daily activities), psychological care before and since donation, family support, relationship with the recipient and recipient outcome and motivation for donation including moral obligation which has been described as a three step process that includes awareness of the effect of one's actions on the welfare of another person, ascribing responsibility to oneself rather than others and accepting the moral norm at issue 26 (study questions available on request). In a pilot study, the questionnaire was administered to 23 donors who donated within the previous 1–4 years at two sites (Mayo and UAB) to evaluate comprehension, flow and order of questions; modifications were made prior to beginning the full study.

    Control subjects for comparison with RELIVE donors with respect to depression outcomes were derived from the publicly available National Health and Nutrition Examination Survey (NHANES) 2009–2010 data 27. NHANES participants were matched to RELIVE donors based on sex, race/ethnicity, marital status, educational attainment, using an iteratively relaxed match on age at the time of completing the survey (donors) or participating in NHANES (up to ±5 years) until at least one match was identified.

    Statistical analysis

    Descriptive information is reported as frequencies and percentages for sample characteristics, and means and standard deviations for the PHQ-9, LOT-R and PCS distributions. Scale scores were calculated if less than half of the items were missing. Pearson correlations were calculated between depression severity and optimism.

    For regression analyses, all missing data were multiply imputed using IVEware (http://www.isr.umich.edu/src/smp/ive/) to generate 10 imputation sets. Thirty-eight donors had imputed values for the LOT-R, and 68 for the PHQ-9. We also imputed missing values in educational attainment at donation (n = 474), relationship to recipient (n = 7), BMI at donation (n = 49), history of psychological difficulties (n = 72) and marital status (n = 46).

    We used logistic regression to examine differences between donors who were depressed at the time of questionnaire completion and those who were not, using PHQ-9 scores at or above 10 as the threshold for clinically relevant depression. Logistic regression was also used to examine differences between donors who reported experiencing emotional, psychological or substance abuse difficulties that they perceived to be a result of donation and those who did not, and to examine differences between donors who sought help for such difficulties and those who did not. For each of these three outcomes, models were identified using a best subsets approach, selecting the model with the highest likelihood score statistic in which all covariates were statistically significant at p < 0.05. A comparison of study participants to nonparticipating donors was also performed using logistic regression.

    Our study received approval by the following institutional review boards: UAB, IRB approval number X070604010; UMN, IRB approval number 0905M66501; Mayo, IRB approval number 09-001345) and DCCs, IRB approval number CR00032674 and protocol number HUM00004345. Informed consent was provided by each participant.

    Results

    Cohort demographics and psychiatric characteristics at the time of donation

    The study cohort has previously been described 21. Of 6909 donors eligible for the study, 3470 acknowledged contact. Of these, 2455 agreed to participate. Thus, of the original cohort of potentially eligible subjects the response rate was 36% and for those who acknowledged contact (2455 of 3470) 71% completed the questionnaire. There were 3439 who did not acknowledge contact due to nonreceipt of communications or nonresponse to contact efforts. Of those contacted, 931 declined to participate, 5 had language barriers and 79 withdrew consent or did not return the questionnaire. RELIVE donors who were eligible but did not participate (n = 4454) had lower educational attainment at donation, donated more recently, were younger at donation, were less likely to have a history of depression before donation, and were more likely to be black or another nonwhite race, male, separated, divorced or widowed, and related to their recipient (all p < 0.05) compared to donors who did participate.

    Of the 2455 participants who completed the psychosocial questionnaire (Table 1a, Table 1b; Supplemental Table S1): 93% were white, 61% were women and 52% were 40 years of age or older at donation. Over 41% were siblings and 87% were related either genetically or by marriage to their recipient. Of note, all categories of biologically related or spousal donors were less likely to have a predonation history of psychiatric difficulties than donors who were not related to their recipients (such as friends, coworkers or anonymous donors; 23% among unrelated donors compared to 8% of parents, 7% of children, 7% of siblings, 11% of spouses and 12% of other related donors) based on medical record review (all p < 0.05).

    Table 1a. Characteristics of donors at the time of donation
    Number of participants Percent of participants Number of nonparticipants Percent of nonparticipants
    All donors 2455 100.0 4454 100.0
    Age at donation
    Less than 30 years old 505 20.6 1242 27.9
    30–39 years old 671 27.3 1484 33.3
    40–49 years old 756 30.8 1129 25.3
    50–59 years old 424 17.3 475 10.7
    60 years old or older 99 4.0 117 2.6
    Unknown or missing 0 0.0 7 0.2
    Ethnicity
    Non-Hispanic/non-Latino 2416 98.4 3608 81.0
    Hispanic/Latino 31 1.3 88 2.0
    Unknown or missing 8 0.3 758 17.0
    Race
    American Indian 16 0.7 46 1.0
    Asian American 11 0.4 47 1.1
    Black or African American 113 4.6 548 12.3
    White or European American 2282 93.0 3703 83.1
    Multi-racial 20 0.8 15 0.3
    Unknown race 13 0.5 95 2.1
    Gender
    Female 1505 61.3 2421 54.4
    Male 950 38.7 2033 45.6
    Relationship of living donor to recipient
    Biological, parent 450 18.3 930 20.9
    Biological, child 316 12.9 672 15.1
    Sibling 1011 41.2 1951 43.8
    Biological, other relative 130 5.3 240 5.4
    Nonbiological, spouse/partner 219 8.9 285 6.4
    Nonbiological, friend 173 7.0 197 4.4
    Nonbiological, other unrelated 149 6.1 163 3.7
    Unknown 7 0.3 16 0.4
    Surgical procedure
    Open 1630 66.4 3244 72.8
    Laparoscopic 822 33.5 1207 27.1
    Unknown 3 0.1 3 0.1
    Predonation historical measures
    History of antidepressant use
    Current 145 5.9 189 4.2
    Previous 39 1.6 39 0.9
    Never 2220 90.4 4147 93.1
    Unknown 51 2.1 79 1.8
    History of antianxiety drug use
    Current 54 2.2 94 2.1
    Previous 22 0.9 10 0.2
    Never 2321 94.5 4263 95.7
    Unknown 58 2.4 87 2.0
    History of alcoholism or alcohol abuse
    Yes 88 3.6 169 3.8
    No 2275 92.7 4088 91.8
    Unknown 92 3.7 197 4.4
    History of illicit drug use
    Yes 76 3.1 214 4.8
    No 2124 86.5 3819 85.7
    Unknown 255 10.4 421 9.5
    History of chronic pain
    Current 175 7.1 211 4.7
    Previous 85 3.5 112 2.5
    Never 2099 85.5 3940 88.5
    Unknown 96 3.9 191 4.3
    History of psychiatric difficulties
    Unknown 72 2.9 111 2.5
    None of the following 2141 87.2 4022 90.3
    Depression 199 8.1 244 5.5
    Anxiety 71 2.9 115 2.6
    Bipolar 9 0.4 7 0.2
    PTSD 0 0.0 7 0.2
    Other psychiatric difficulties 26 1.1 48 1.1
    Before your donation, had you ever been treated for emotional, psychological or substance abuse difficulties? (Collected on self-report QOL questionnaire)
    Yes 264 10.8 n/a
    No 2149 87.5
    Missing 42 1.7
    • PTSD, posttraumatic stress disorder; QOL, quality of life.
    Table 1b. Characteristics of donors at quality of life questionnaire completion (5–48 years after donation)
    n %
    All donors 2455 100.0
    Age at survey completion
    Less than 30 years old 20 0.8
    30–39 years old 125 5.1
    40–49 years old 433 17.6
    50–59 years old 865 35.2
    60–69 years old 673 27.4
    70–79 years old 274 11.2
    80 years old or older 65 2.6
    Educational attainment at survey completion
    Unknown or missing 13 0.5
    Less than high school 66 2.7
    High school 497 20.2
    Some college, vo-tech or associate degree 920 37.5
    Bachelor's degree 510 20.8
    Graduate degree 449 18.3
    Marital status at survey completion
    Missing 13 0.5
    Married or living together 1852 75.4
    Separated, divorced or widowed 449 18.3
    Never married 141 5.7
    Work status at survey completion
    Missing 34 1.4
    Working full-time for pay 1272 51.8
    Working part-time for pay 299 12.2
    Not working for pay at present (not unemployed) 770 31.4
    Unemployed 80 3.3

    At donation, medical records indicated that over 90% of the sample had never been on antidepressant or antianxiety medication and had no history of alcoholism; 11% had past or current pain problems (Table 1a). Depression (8%) was the most common preexisting psychiatric condition followed by anxiety (3%), but notably, subjects with bipolar disorder (0.4%) had also donated (Table 1a). On the questionnaire, 11% reported that they had been treated for psychological problems prior to donation.

    Psychiatric characteristics following donation

    On the questionnaire, 4% noted psychiatric problems at some time after donation; 2% sought treatment, and 1% were in active treatment (Table 2a). Based on scores of 10 or greater on the PHQ-9, 8% of donors reported depressive symptoms at the time of the survey (Table 2b) with few reporting severe symptoms (Figure 1). The distributions of responses to PHQ-9 items are reported in Supplemental Figure S1. RELIVE donors were less likely to be taking medications for psychiatric issues including depression or anxiety (12%) at the time of the survey compared to 15% among matched NHANES controls (p = 0.011) (Table 2b).

    Table 2a. Psychological difficulties at quality of life questionnaire completion (n = 2455, 5–48 years after donation)
    Donor-reported perception of complications because of donation Donors
    n %
    Emotional, psychological or substance abuse difficulties 98 4.0
    Sought professional help for emotional, psychological or substance abuse difficulties 60 2.4
    Currently treated for emotional, psychological or substance abuse difficulties 28 1.1
    Table 2b. Depression outcomes at QOL questionnaire completion (5–48 years after donation)
    Donors NHANES matches
    n % %
    Depression (≥10 PHQ-9) 190 7.8 7.0
    Major depression based on PHQ criteria 100 4.1 3.8
    On medication for depression, anxiety or other psychological disorders 298 12.1 14.6
    • Reported percentages are percentages of donors with nonmissing data; 23 donors were missing PHQ-9 scores. Percentages of matched NHANES participants were calculated using NHANES 2009–2010, imputing PHQ-9 items among participants who were missing less than half of the 9 items.
    • NHANES, National Health and Nutrition Examination Survey; PHQ, Patient Health Questionnaire; QOL, quality of life.
    • 1 Major depression was defined as a depressive response to at least five items, at least one of which is in the first two items.
    • 2 Measure was significantly different between RELIVE donors and age, sex, race, ethnicity and education matched NHANES sample. RELIVE donors were significantly less likely to be on antidepressant medication than similar individuals who participated in NHANES 2009–2010 (chi-square = 6.5, p = 0.011). RELIVE, Renal and Lung Living Donors Evaluation Study.
    Details are in the caption following the image
    Histogram of Patient Health Questionnaire-9 Depression Scores in kidney donors 5–48 years after donation.

    Optimism

    As a group, donor responses (LOT-R mean (M) = 17.8, standard deviation (SD) = 4.1) were similar to predonation liver donors (M = 17.8, SD = 3.1) and more optimistic than normative data from both a college-based sample (M = 14.3) and medically ill sample (M = 15.2) (Supplemental Figure S2) 24. The LOT-R was negatively correlated with depression, with those more optimistic less likely to report depression (r = −0.54, p < 0.001).

    Donor characteristics associated with self-report of depression at the time of survey

    Based on logistic regression (Table 3), depression in donors (PHQ-9 ≥ 10) was associated with a predonation history of depression (p < 0.001), longer postdonation recovery time (p = 0.009), greater financial burden (p = 0.013), stronger agreement with the statement “It was my moral obligation to donate” (p = 0.003), and emotional, psychological or substance abuse problems following donation (p = 0.010). After excluding donors who had a predonation history of depression, many of the same characteristics remained predictive of depression on the questionnaire.

    Table 3. Results of logistic regression predicting psychological difficulties and depression 5–48 years after donation
    Outcome Predictor OR Low CI High CI p-Value
    Depression at QOL questionnaire (PHQ-9 ≥ 10; c-statistic = 0.90)
    History of depression: yes (ref: no) 2.55 1.53 4.26 <0.001
    Emotional, psychological or substance abuse difficulties as a result of donation 2.36 1.23 4.54 0.010
    Race: nonwhite (ref: white) 2.00 1.11 3.59 0.020
    Postdonation recovery time for daily activities (<3 months to never) 1.74 1.15 2.64 0.009
    Donation caused a financial burden 1.32 1.06 1.65 0.013
    It was my moral obligation to donate 1.23 1.07 1.41 0.003
    PCS, age and sex adjusted, per ½ standard deviation 0.79 0.72 0.87 <0.001
    Age at donation, per 10 years 0.75 0.62 0.89 0.002
    LOT-R 0.73 0.70 0.77 <0.001
    Employed full- or part-time at survey completion (ref: not employed, unemployed) 0.48 0.32 0.72 <0.001
    Depression at QOL questionnaire (PHQ-9 ≥ 10) among donors without a history of depression (c-statistic = 0.90)
    Emotional, psychological or substance abuse difficulties as a result of donation 2.21 1.05 4.66 0.037
    Postdonation recovery time for daily activities (<3 months to never) 1.90 1.21 2.98 0.005
    Donation caused a financial burden 1.41 1.12 1.78 0.004
    It was my moral obligation to donate 1.35 1.16 1.58 <0.001
    PCS, age and sex adjusted, per ½ standard deviation 0.74 0.67 0.82 <0.001
    LOT-R 0.73 0.69 0.77 <0.001
    Employed full- or part-time at survey completion (ref: not employed, unemployed) 0.63 0.41 0.96 0.033
    “Did you obtain professional help for emotional, psychological or substance abuse concerns that were a result of your donation?” (c-statistic = 0.86)
    I felt depressed for a while after the surgery (strongly disagree to strongly agree) 2.83 2.32 3.46 <0.001
    History of depression: yes (ref: no, unknown) 2.33 1.13 4.82 0.022
    Graft failure (including recipient death) 2.25 1.25 4.06 0.007
    “Did you have any emotional, psychological or substance abuse difficulties that were the result of your donation?” (c-statistic = 0.79)
    Rehospitalization or additional hospitalization days 3.23 1.90 5.48 <0.001
    History of drug use: yes (ref: no, unknown) 3.02 1.31 6.98 0.010
    Medical complication not requiring hospitalization 2.81 1.77 4.43 <0.001
    Race: nonwhite (ref: white) 2.01 1.01 4.02 0.047
    History of chronic pain predonation: yes (ref: no, unknown) 2.00 1.15 3.48 0.014
    Once the surgery was over, no one really paid much attention to me (strongly disagree to strongly agree) 1.46 1.23 1.75 <0.001
    My family or friends supported me throughout the donor surgery 0.78 0.63 0.96 0.020
    • Only covariates that were significant (p < 0.05) were included in the final models.
    • CI, confidence interval; LOT-R, Life Orientation Test-Revised; OR, odds ratio; PHQ, Patient Health Questionnaire; PCS, Physical Component Score (higher score is better); QOL, quality of life.
    • 1 Response categories for postdonation recovery included: “less than 3 months”; “3–6 months”; “more than 6 months”; and “I never returned to my usual daily activities.”

    The absence of depression symptoms (PHQ-9 ≤ 9) was associated with better physical health (measured as the age- and sex-adjusted PCS from the SF-36, p < 0.001), older age at donation (p = 0.002), higher optimism (measured as higher scores on the LOT-R, p < 0.001), being employed either full-time or part-time at the time of survey (p < 0.001) and being of white or European American race (p = 0.020). Among donors without a history of depression before donation, absence of depression symptoms was associated with better physical health (p < 0.001), higher optimism (p < 0.001) and being employed (p = 0.033).

    In a separate analysis examining donation-specific questions, donors indicated whether they had experienced emotional, psychological or substance abuse concerns as a result of donation. Donors seeking help for these issues after donation were more likely to have a predonation history of depression (p = 0.022), and/or to have felt depressed after surgery (p < 0.001) (Table 3), and were more likely to report that their recipient's graft had failed (p = 0.007). Donors who reported emotional, psychological or substance abuse concerns after donation were more likely to have reported history of drug use at the predonation evaluation (p = 0.010), history of chronic pain prior to donation (p = 0.014), feeling that once the surgery was over they did not receive attention (p < 0.001), and were more likely to encounter postdonation re-hospitalization (p < 0.001) or medical complications not requiring hospitalization (p < 0.001). Nonsignificant findings for all models are provided in Supplemental Table S2.

    Overall, most donors did not have a history of depression, did not report emotional, psychological or substance abuse difficulties after donation, and did not report depression (PHQ-9 < 9) at follow-up (Figure 2). However, donors who did report depression at the postdonation survey tended to report having difficulties after donation, and also tended to have a history of depression before donation.

    Details are in the caption following the image
    History of depression at donation from medical record review and self-reported depression based on the Patient Health Questionnaire-9 survey an average of 17 years after donation. Seventy-two donors with unknown history of depression at donation and 14 donors with missing Patient Health Questionnaire-9 scores are not shown in this figure.

    Discussion

    This study presents results from a cross-sectional survey of kidney donors' self-reports of depressive symptoms, combined with predonation data on history of depression, use of psychiatric medications and other characteristics. We also tested potential predictors of depressive symptoms. For most donors, we were able to affirm that kidney donation did not confer an increased prevalence of depression. We did identify a small subset of donors who reported an increase of depressive symptoms. Thus our findings from the RELIVE study suggest that long-term psychiatric morbidity following kidney donation occurs, but affects a minority of donors. Factors that contributed to an increased report of depressive symptoms following kidney donation included longer recovery time, increased financial burden, feeling a moral obligation to donate, being younger at donation, being of nonwhite race, lower physical QOL and having lower self-reported optimism. A history of depression at the time of donation was also associated with later depression, which might be expected given the potential for relapse in individuals from the general population with a history of depression. Additionally, reports of rehospitalization and medical complications were associated with donor perception of increased emotional, psychological or substance abuse problems related to donation. Not surprisingly, current unemployed or nonemployed status was associated with current depression.

    Depression risk factors have been reported for donors 28. Unlike our findings, Lentine et al, utilizing donor billing data to identify antidepressant use as an indicator of depressive symptomatology 6, reported higher rates of depression in US white donors. Qualitative research and retrospective studies note an association between recipient outcomes and adverse emotional outcomes from donation 12. Although RELIVE donors whose recipients lost their grafts or died were more likely to have obtained professional help for emotional, psychological or substance abuse concerns, we did not find that graft failure led to increased reports of depressive symptoms long-term.

    In concurrence with our results, other studies suggest that donors experience less depression or a nonsignificant increase in depression symptoms 7, 29, 30, better social function, less bodily pain and more vitality than controls or patients undergoing nephrectomy for medical reasons 31. Stable psychiatric conditions were not associated with significant worsening of symptoms at the time of donor surgery 32. Our research supports the existing literature that suggests a high score for optimism sets the stage for better overall outcomes in medical populations 19, 20.

    The characteristics of nonrelated donors have been the focus of increased attention by the medical community 1 and increased rates of donation by nonbiologically related donors over the last five decades have been reported 22. Interestingly, the higher proportions of preexisting psychiatric disorders in nonrelated donors highlights the need for increased monitoring for depressive symptoms both pre- and postdonor surgery in nonrelated donors.

    Based on these findings, social workers, psychologists and psychiatrists evaluating donors may wish to provide increased support to donors who have the potential for a higher prevalence of depression or have a lower threshold for advising these donors about potential adverse psychiatric outcomes. Thus far, interventions to increase the resilience of donors has not been the focus of research. New modalities including mindfulness-based stress reduction interventions, more frequent monitoring of mood symptoms postdonation, and problem-solving strategies to address financial stressors potentially could help alleviate the stress of undergoing donor surgery. Additionally, interventions such as motivational interviewing to explore donor ambivalence, possibly related to social obligation as a motivation to donate, has resulted in improved outcomes in other donor populations 33. This may be especially valuable for donor advocates wishing to assist donors in assessing whether they have sufficiently considered the risks and benefits of donation, to balance feeling compelled to donate by societal values.

    The main strengths of our study are the long interval from donation to postdonation survey, the large sample size and the diverse geographic and multicenter population. This study addressed the frequency of donor self-reported depression using a standardized rating scale widely used to screen for depression and donors' self-report of adverse psychological sequelae of donation. Further, we investigated donors' reports of the attribute of optimism, which may be an important protective factor against the future development of depressive symptoms.

    The challenge of contacting eligible donors up to 50 years after their surgery was formidable; in spite of multiple attempts, only 50% of those identified through medical records could be contacted by study staff. Differences in characteristics between respondents and nonrespondents might have biased our estimated prevalence of depression, although regression-based predicted probabilities estimated the bias at only 1%.

    The RELIVE sample was not as racially and ethnically diverse as the complete living kidney donor population in the United States during the same time period, and tended to be older, more likely to be biologically related to their recipient 21, 34 and likely to be employed. We did not have standardized predonation data for depressive symptoms or in-person subject interviews postdonation. We used standardized instruments to evaluate for depression and QOL, and used donation specific questions drawn from prior studies 26, and tested for flow of instruments in a separate limited sample of donors. Cognitive interviewing identified a few minor wording improvements and was deemed complete (reaching saturation) after 23 donor interviews. Our study did not collect predonation data prospectively and relied in part on recall by study subjects of psychosocial complications that potentially occurred years earlier, around the time of donation. The reliability of retrospective assessments of psychological difficulties shortly after donation is unclear as it is possible that these reports could be conditioned by psychological difficulties that are present at the time of survey completion. In the survey research and cognitive psychology literature, this phenomenon is referred to as retroactive interference 35. The possibility of this type of recall error does undermine somewhat, the defensibility of our statements relating to the temporality of baseline versus current psychological stress. Readers should interpret and act upon our study findings with this potential limitation in mind.

    Conclusions

    This study provides a valuable window into the donor experience using validated instruments to examine the factors contributing to risk for depression years following donation. We believe these data will provide reassurance to donors and clinicians that the experience of donation, often in the setting of a loved one's illness, does not increase long-term depressive symptoms for most donors. Donors who had good mental health predonation were unlikely to develop depression in the years following donation. Specific historical features did predict risk for long-term adverse outcomes and identification predonation may facilitate interventions that can improve donor recovery. We found that donors as a group were more likely to be optimistic in disposition which may further protect them from future depression. Further studies to address whether interventions would enhance the experience of higher risk donors and studies on the impact of recipient outcomes on donors could ultimately improve the donor experience.

    Acknowledgments

    This research was performed as a project of the RELIVE, a collaborative clinical research project sponsored by the National Institute of Allergy and Infectious Diseases, Health Resources and Services Administration and National Heart, Lung, and Blood Institute (grant no. U01 AI069491; U01 AI069544; U01 AI069550; U01 AI069545). Dr. Sheila Jowsey had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

      Disclosure

      The authors of this manuscript have no conflicts of interest to disclose as described by the American Journal of Transplantation.

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