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Gender disparity in health-related quality of life and fatigue after living renal donation

Abstract

Background

The clinical outcome and health-related quality of life (HRQoL) of living kidney donors is mostly not detrimental, but some donors experience impairment after donation. Gender-specific effects of living kidney donors was evaluated.

Methods

Clinical outcome was assessed in living kidney donors and HRQoL was obtained by self-reporting validated test systems as the Multidimensional Fatigue Inventory (MFI-20), the Short Form 36 (SF-36), and the Patient Health Questionnaire (PHQ-9).

Results

Two hundred and eleven (211) living renal donors were evaluated (female 62.2%). Response rate was 80.8%. In both genders, a decrease of renal function of 26% was observed after donation. De novo antihypertensives were introduced in 28.3% of women and 36.5% of men. HRQoL was comparable in female and male donors, except for mental HRQoL, which was lower in 51- to 60-year-old female donors, compared to age-matched male donors and to the female general population. Female donors aged 40–59 years demonstrated more fatigue than the age-matched general population. A low mental HRQoL (MCS; SF-36) was associated with higher values for fatigue (General Fatigue Score; MFI-20) in both genders. Multiple regression analysis detected the General Fatigue score of the MFI-20 questionnaire and depression identified by the PHQ-9 score as independent variables predicting MCS of the SF-36 in both genders. Lower age at time of donation contributed to a lower MCS in female donors.

Conclusions

Overall, HRQoL in living kidney donors exceeds that of the general population. Inferior mental health status and fatigue seem to be a problem, especially in middle-aged female donors, but not in all female donors. Psychological evaluation pre donation and psychological support post donation are required.

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Background

The number of living renal donations is increasing worldwide [1]. Altogether, 1921 renal transplantations were performed in Germany in 2017, of which 557 (29%) kidneys were from a living donor [2]. In all the cases, a healthy person decided to undergo the risks of surgery mostly for altruistic reasons [3]. Therefore, living donation has a special status from the medical and ethical points of view. However, there are studies that hint at the presence of fatigue and other psychosocial problems post donation, particularly for the subgroup of female donors and maybe also for a special age category [4, 5]. Gender medicine in living renal donation is of high importance: there are more women donating an organ than men, and women are less often given a kidney by a living donor [6]. Another point is the difference between male and female living donors concerning clinical outcome: a study by Mjoen et al. showed that female donors with a BMI > 25 kg/m2 and an age > 50 years achieved the lowest GFR after donation [7].

Altogether, clinical outcome and HRQoL of living kidney donors mostly seem to be safe, but some donors experience impairment after donation. In the present study, to detect donors at risk, female and male kidney donors are evaluated concerning physical and psychosocial outcomes.

Methods

Study population

The study was designed to assess clinical and psychosocial outcome in living renal donors with respect to gender differences. Two hundred and ninety-three (293) kidney donors were contacted by mail, including an invitation letter as well as standardised questionnaires. All these participating respondents donated a kidney between 08/1983 and 06/2011.

HRQoL assessment and screening for fatigue or depression was determined by self-reporting validated test. A representative German adult general population cohort served as the control group for each questionnaire. A regular clinical follow-up after donation was performed annually. Psychological counselling was undertaken for each donor and recipient prior to transplantation and, if necessary, after transplantation.

The study was approved by the institutional Ethics Committee and was conducted according to the Declaration of Helsinki 2003. Written informed consent was obtained from all participating donors.

Questionnaires

Short form 36

The Short Form 36 (SF-36) is a questionnaire to measure HRQoL containing the eight multi-item subscales: general health perceptions, physical functioning, physical role, bodily pain, general mental health, vitality, emotional role, and social functioning. Each subscale has a range from 0 to 100 with 100 standing for optimal function. The subscales are then combined into a physical and mental component summary score (PCS and MCS). We compared the study population with the German general population presented by the study of Ellert and Bellach et al. (6964 persons between the age of 8 and 80 years) [8, 9].

Multidimensional fatigue inventory

The Multidimensional Fatigue Inventory (MFI-20) was designed to measure chronic tiredness and was originally conceived for patients with fatigue due to malignoma. There are 20 items, each consisting of a 5-point Likert Scale. The 20 items are built on five summary scales: general fatigue, physical fatigue, mental fatigue, reduced activity and reduced motivation. A higher score indicates more fatigue. We compared our study population to the German general population of Schwarz et al. (2037 persons) [10, 11].

Patient health questionnaire - depression component questionnaire

The Patient Health Questionnaire (PHQ) was designed to detect mental disorders. In our study we used the “depression” component questionnaire of the PHQ (PHQ-9). The questionnaire consists of 9 Items, each consisting of a 4-point Likert Scale. The questions include a period of the last two weeks. A summary score can be build with the following cut-off scores: 0–4 points indicates no mental disorder, 5–10 points can be seen as a probable beginning mental disorder. 11–14 points indicate a mild, 15–19 a distinctive and 20–27 a severe form of major depression [12]. We compared our donors with a normal sample of Kocalevent et al. (2013) [13].

Statistical analysis

All analyses were performed using IBM SPSS Statistics for Windows, Version 21.0 (IBM Corp. released 2012; Armonk NY: IBM Corp.). Values are presented as mean (SD) or n (%).

Statistical significance was tested with paired and unpaired t-tests, as well as chi-square distribution. p < 0.05 indicated statistical significance. Multiple linear regression analyses was performed, using the “Mental Component Summary” of the SF-36 as the dependent variable, and General Fatigue Score, Physical Component Summary Score, PHQ-9, S-creatinine, age at time of donation and time after donation as independent variables.

Results

Study population

A total of 293 living renal donors were contacted. Out of 261 expected responses, 211 questionnaires were returned by donors (80.8%), Fig. 1. Altogether, 131 (62.1%) of the 211 participating renal donors were female. The return rates, separated by gender, were 76.9% in male and 69.7% in female donors (p = 0.165). Mean age at the time of donation was 51.7 ± 9.9 years (female 50.5 ± 9.3 years; male 53.8 ± 10.6 years) and, at time of the assessment, 61.5 ± 10.2 years (female 60.4 ± 9.6 years; male 63.2 ± 10.9 years), Table 1. Most of the donors were spouses (26.1%), mothers (24.6%) or fathers (22.7%). Male donors were more likely to donate to their children (60%), whereas female donors were willing to donate to their children (39.7%) as well as to their husbands (42.7%).

Fig. 1
figure 1

Donor flow chart

Table 1 Patient demographics separated by gender

Demographic data of donors with missing HRQoL questionnaires (69.5% female) were comparable to the studied donor cohort with a mean age of 58.4 ± 9.3 years and stable renal function.

Clinical data

Comparing pre and post donation parameters, S-creatinine was significantly higher after donation (S-creatinine 0.82 ± 0.16 vs. 1.05 ± 0.23 mg/dL, p > 0.001), Table 2. S-creatinine differed significantly in female and male donors before and after donation (pre 0.74 ± 0.12 mg/dL vs. 0.94 ± 0.14 mg/dl, p < 0.001; post 0.90 ± 0.15 vs. 1.20 ± 0.22 mg/dL, p < 0.001). Estimated GFR was comparable between female and male donors before and after donation, but decreased significantly after donation (p < 0.001). Decrease of CKDepi GFR was 24 ml/min in female and 23 ml/min in male donors. Proteinuria increased after donation in both gender with significantly higher post donation proteinuria in male compared to female donors. However, the general amount of proteinuria was low.

Table 2 Clinical parameters of donors separated by gender after living renal donation

Mean systolic blood pressure was 131 ± 15 mmHg and diastolic blood pressure was 82 ± 7 mmHg prior to donation. Most females demonstrated a blood pressure in the category of high normal or stage 1 hypertension (both 30.6%). Most males also showed high normal values (31.0%). Especially in female donors, blood pressure increased significantly after donation. However, percentages of de novo prescription of antihypertensives after donation was 28.3% in female and 36.5% in male.

Body mass index (BMI), cholesterol and HbA1c did not differ significantly in female or male donors prior and post donation, Table 2.

Health-related quality of life (SF-36)

Female and male donors showed comparable results for PCS (Physical Component Summary Score, 51.8 ± 10.1 vs. 53.9 ± 7.9). Significantly worse results were achieved by female compared to male donors in MCS (Mental Component Summary Score, 47.3 ± 13.0 vs. 51.7 ± 11.0, p = 0.012), Table 3. The best results were achieved in the scale of “Social Functioning” by male living donors, whereas female living donors achieved the best results in the scale of “Physical Functioning”.

Table 3 Short Form 36 (SF-36): Mean (SD) of the subscales and physical and mental component summary score in living renal donors compared to the German general population of 1998 separated by gender [11]

In comparison to the German general population, living renal donors showed significantly higher results in PCS (52.6 ± 9.3 vs. 48.36 ± 9.42; p < 0.001) and significantly lower results in MCS (48.7 ± 19.5 vs. 50.78 ± 8.82; p = 0.037). Lower MCS results in the donor cohort were induced due to significantly lower MCS in female donors compared to females in the German general study population, whereas male revealed no difference.

Further analysis revealed that the female donor group aged 51 to 60 years contributed to this phenomenon with lower results in MCS (41.4 ± 14.6 vs. 50.1 ± 9.6, p < 0.001) and in the subscale of “Mental Health” (65.4 ± 41.6 vs. 84.2 ± 30.7, p = 0.002) in comparison to the age- and gender-matched German general population. All other age groups in all sub- and summary scales showed comparable or even better results. Also in comparison to male donors, only female donors aged 51–60 years revealed significantly worse results in MCS (41.6 ± 14.7 vs. 51.5 ± 8.9, p = 0.008). Male donors showed comparable or even significantly better results in PCS and MCS, compared to the age- and gender-matched German general population.

Fatigue (MFI-20)

Comparing female and male donors, a significant difference was detected in the scale of “General Fatigue” with women showing higher, i.e. worse, results than men (9.9 ± 4.7 vs. 8.4 ± 4.0, p = 0.013). Especially female donors aged 40–59 years showed significantly higher results in the scales of “General Fatigue” (11.2 ± 4.7 vs. 8.7, p < 0.001) and “Physical Fatigue” (9.7 ± 4.5 vs. 8.2, p = 0.014) than the age- and gender-matched German general population, Table 4. The age group of > 60-year-old female as well as male donors showed significantly lower results in almost all the fatigue scales.

Table 4 Multidimensional Fatigue Inventory (MFI-20): Mean (SD) of the MFI-20 scales in living renal donors compared to the German general population separated by gender and age [15]

Depression (PHQ-9)

Male and female donors presented a mean value of 3.86 ± 4.15, which is far under the cut-off score of 10 points for depressive disorders (male: 3.24 ± 3.48, female: 4.26 ± 4.50; p = 0.087), Table 5. Only 6.3% of the male and 10.5% of the female donors presented PHQ-9 values above 10 points. In comparison to the German normal population (N = 5018) the donor cohort showed a significantly higher summary score (2.91 ± 3.52 vs. 3.86 ± 4.15, p = 0.001). Separated by gender and age, the male as well as the female donors showed comparable or even better (> 75 year old male and females: 3.1 ± 3.2 vs. 4.4 ± 3.9, p = 0.041) results than the age- and gender- matched German normal sample.

Table 5 PHQ-9 “Depression”: Comparison of living renal donors (a. female, b. male) with the German general population of Kocalevent et al. (2013) in age classes [13]

Multiple regression analyses

Multiple regression analysis identified fatigue symptoms detected by the General Fatigue score of the MFI-20 questionnaire and depression perceived by the PHQ-9 score as independent variables predicting MCS of the SF-36 in both genders (Table 6). Lower age at time of donation supported a lower MCS in female donors.

Table 6 Multiple Regression Analysis. Presenting regression coefficient β, standard error and significance p of the presented independent variables on the dependent variable “Mental Component Summary Score” of the Short-Form 36, separated by gender

Characteristics of middle-aged female donors with impaired quality of life

To further analyse impaired quality of life in female donors aged 51–60 years we evaluated female donors of this age-group with results lower than two standard deviations from the mean value of the age and gender matched German general population in the MCS of the SF-36 (n = 15) and compared them with female donors above this value, Additional file 1: Table S1.

No significant difference could be detected in renal function of the donor (S-creatinine, p = 0.227), renal function of recipient (S-creatinine, p = 0.961) or loss of kidney transplant of the recipient (p = 1.000). Female donors who showed very low results in MCS also showed significantly higher values for fatigue (p < 0.001) in comparison to female donors with normal value in MCS. These women presented very low results in the subscale “emotional role functioning” of the Short-Form 36 in comparison to the age- and gender-matched normal population (15.56 ± 21.33 vs. 84.16 ± 30.70, p = 0.002).

Most of theses 15 women donated the kidney to their husband (N = 7), followed by donating to their child (N = 6), the others donated to their brother/sister (N = 2); 53.3% (n = 8) were working in a part time job, 3 in a full time job (others: retired n = 1, unemployed n = 1, housewife n = 2). These women had 2.08 children (range 1–3). Mean age at time of donation was 45.1 ± 7.7 years. Mean GFR was 73 ± 17 ml/min/1.73m2 and S-creatinine was 0.88 ± 0.13 mg/dL. Mean arterial pressure was 99 ± 9 mmHg at the time of donation.

Discussion

Altogether, 211 living renal donors were evaluated concerning clinical and psychosocial outcome. There was no difference in terms of gender concerning the renal function at about ten years post donation, whereas S-creatinine was significantly higher in the males. The psychosocial evaluation of the donor cohort revealed better results in HRQoL in male and female donors, expect for the patient group of 51- to 60-year-old female donors. Evaluation of fatigue by the MFI-20 questionnaire demonstrated comparable results for both genders, except for the scale of “General Fatigue” in female donors aged 40 to 59 years who obtained worse results than male donors.

The response rate of 80.8% was comparable to other psychosocial outcome evaluations in renal donors [14, 15]. The mean age of the living female donors in this study was 60.4 ± 9.6 years and the mean age of male donors was 63.2 ± 10.9 years. Overall, 55.9% of the donors were aged > 60 years. Dols et al. could not show a significant difference in the decline of GFR, in a comparison between donors < 60 years and donors > 60 years, with older donors already demonstrating a lower GFR prior to donation [16]. However, in this study no disadvantage due to increased age could be shown.

Concerning blood pressure, there were no significant differences between men and women, or between time pre and post donation. However, 28.3% of the females and 36.5% of the males obtained de novo antihypertensive drugs after donation. Fehrman-Ekholm et al. demonstrated comparable results: 23% of the donors needed de novo antihypertensive drugs after donation, and 22% demonstrated a newly diagnosed arterial hypertension [17]. Nevertheless, the prevalence of hypertension in the German general population is similar, at 29.9% in females and 33.3% in males [18].

Renal function was estimated by the CKD-EPI formula. This formula provides the most precise results in the Normal to Stage CKD II categories [19]. No patient in this study showed an eGFR below 30 mL/min/1.73m2. Corresponding to previous evaluations, a mean decrease of 26% was noted after donation [17, 20]. eGFR and change in renal function were equivalent in both genders. In a study by Ibrahim et al., a mean eGFR decrease of 24% was noted [21]. A better compensation of the GFR was possible at a younger age, longer time since donation and a higher estimated GFR at the time of donation. Mjoen et al. revealed women aged > 50 years with a BMI > 25 kg/m2 as being at high risk for decreased renal function [7]. In a most recent study, GFR decreased about 33.6% and was longitudinally lower among men than women, without any association to HRQoL [22].

Physical and mental HRQoL assessed by the SF-36 questionnaire was significantly better in male living donors in total and in different age groups, than in males of the German general population [9]. Female donors in this study showed significantly better physical HRQoL, in comparison to the female general population, but reduced mental health in comparison to the general population. Women aged 51–60 years in particular achieved lower results in mental health. On the contrary, Ibrahim et al. showed better results for both genders in comparison to the US general population [21]. In a recently published study, donors felt positive about donation and there was no evidence of a significant change in psychosocial outcomes [23]. Timmerman et al. evaluated the importance of psychological factors on mental health after living renal donation [24]. Lower age, lack of social support, expectation of interpersonal benefit, an avoidant coping style were identified as indicators of a lower mental health status. Kroencke et al. demonstrated that the donor-recipient relationship might influence HRQoL outcome in living renal donation. Adult-to-paediatric donors experienced more preoperative psychological stress, which improved after donation, whereas adult-to-adult donors showed unchanged anxiety and depression, and a slight decrease in mental health [25]. Female donors of our study, who had results below two standard deviations in MCS of the Short-Form 36 donated mostly to a child as well as to their husband.

Important results were found in the present study: low results in MCS of the SF-36 came along with higher values for Fatigue (MFI-20). These findings are in line with de Groot et al., who identified higher fatigue in all dimensions of the MFI-20 in donors (female and male) with reduced PCS and MCS subscales [15].

Fatigue is not easily measured objectively and mostly set as a diagnosis by exclusion. A lot of differential diagnoses, such as somatoform disorder or depression have to be considered. Demyttenaere et al. showed fatigue as a common symptom of a major depression, whereas Artom et al. showed fatigue in advanced kidney diseases as a diagnosis in itself [26, 27]. In a Norwegian analysis female sex in general was significantly associated with general fatigue [28]. In our study women aged 40 to 59 years showed significantly worse results in the “General Fatigue” scale and the “Physical Fatigue” scale, whereas women aged > 60 years showed significantly better results than the German general female population. In contrast to other evaluations, a linear correlation between age and fatigue therefore could not be noted in the present study [11, 29].

Female donors especially of the age group of 51–60 years seem to be at a higher risk for low mental health after living renal donation, although the reason for that fact remains unclear. Our results show that the outcome of recipients, measured by S-creatinine, did not correlate with a bad mental health of the donors. Lopez et al. showed a significant correlation between low resilience, depressive symptoms and being in peri-menopause [30]. Perhaps women at the age of 51–60 years have to deal with a lot of stressors e.g. changing of the body in menopause, children who become adults and maybe own parents who have to be cared about. Further analyses of this special age group should be performed in following studies.

The benefit of the present study is that it provides a comprehensive evaluation including physical, mental and social outcome of all living renal donors at the Transplant Centre of Heidelberg. Limitations of this study include the cross-sectional evaluation of HRQoL, whereas the clinical follow-up was assessed prospectively in yearly follow-up visits. Nearly 19.8% of the kidney donors refused to complete the self-reported questionnaires. However, demographics of these donors were similar to the assessed donors. There is no consent among experts as to the best control group. Comparing living donors to national data may underestimate the psychosocial impairment attributable to kidney donation.

Conclusions

In conclusion, no significant difference between female and male donors concerning physical outcome could be detected. HRQoL is mostly comparable, or even better, in kidney donors compared to the general population. Limited HRQoL and fatigue symptoms seem to be a problem especially in middle-aged female donors, but not in all female donors. This special patient cohort could be identified by low mental health or high fatigue. Therefore, we suggest psychological counselling as part of the evaluation of potential living renal donors as well as part of the after-care programme.

Abbreviations

BMI:

Body mass index

CKD-EPI:

Chronic kidney disease epidemiological formula

eGFR:

Estimated glomerular filtration rate

GFR:

Glomerular filtration rate

HADS-D:

Hospital Anxiety Depression Scale (German version)

HRQoL:

Health-related quality of life

MCS:

Mental component summary

MFI-20:

Multidimensional Fatigue Inventory

p:

significance

PCS:

Psychological component summary

SD:

Standard deviation

SF-36:

Short Form 36

WHO:

World Health Organisation

References

  1. Horvat LD, Shariff SZ, Garg AX. DONOR nephrectomy outcomes research (DONOR) network. Global trends in the rates of living kidney donation. Kidney Int. 2009;75:1088–98.

    Article  Google Scholar 

  2. Deutsche Stiftung Organtransplantation. Organspende und Transplantation in Deutschland: Jahresbericht 2017. Available from: http://www.dso.de/servicecenter/downloads/jahresberichte-und-grafiken.html. Accessed 6 Nov 2018.

  3. Lennerling A, Forsberg A, Meyer K, Nyberg G. Motives for becoming a living kidney donor. Nephrol Dial Transpl. 2004;19:1600–5.

    Article  Google Scholar 

  4. Sommerer C, Feuerstein D, Dikow R, et al. Psychosocial and physical outcome following kidney donation-a retrospective analysis. Transplant Int. 2015;28:416–28.

    Article  Google Scholar 

  5. Mjoen G, Stavem K, Westlie L, et al. Quality of life in kidney donors. Am J Transpl. 2011;11:1315–9.

    Article  CAS  Google Scholar 

  6. Biller-Andorno N. Gender imbalance in living organ donation. Med Health Care Phil. 2002;5:199–204.

    Article  Google Scholar 

  7. Mjoen G, Midtvedt K, Holme I, et al. One- and five-year follow-ups on blood pressure and renal function in kidney donors. Transpl Int. 2011;24:73–7.

    Article  Google Scholar 

  8. Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30:473–83.

    Article  Google Scholar 

  9. Ellert U, Bellach BM. The SF-36 in the Federal Health Survey--description of a current normal sample. Gesundheitswesen. 1999;61:184–90.

    Google Scholar 

  10. Smets EM, Garssen B, Bonke B, De Haes JC. The multidimensional fatigue inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995;39:315–25.

    Article  CAS  Google Scholar 

  11. Schwarz R, Krauss O, Hinz A. Fatigue in the general population. Onkologie. 2003;26:140–4.

    CAS  PubMed  Google Scholar 

  12. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13.

    Article  CAS  Google Scholar 

  13. Kocalevent RD, Hinz A, Brahler E. Standardization of the depression screener patient health questionnaire (PHQ-9) in the general population. Gen Hosp Psychiatry. 2013;35:551–5.

    Article  Google Scholar 

  14. Meyer K, Wahl AK, Bjork IT, Wisloff T, Hartmann A, Andersen MH. Long-term, self-reported health outcomes in kidney donors. BMC Nephrol. 2016;17:8. https://doi.org/10.1186/s12882-016-0221-y.

    Article  PubMed  PubMed Central  Google Scholar 

  15. de Groot IB, Stiggelbout AM, van der Boog PJ, Baranski AG, Marang-van de Mheen PJ. Reduced quality of life in living kidney donors: association with fatigue, societal participation and pre-donation variables. Transpl Int. 2012;25:967–75.

    Article  Google Scholar 

  16. Dols LF, Kok NF, Roodnat JI, et al. Living kidney donors: impact of age on long-term safety. J Am Transpl. 2011;11:737–42.

    Article  CAS  Google Scholar 

  17. Fehrman-Ekholm I, Kvarnstrom N, Softeland JM, et al. Post-nephrectomy development of renal function in living kidney donors: a cross-sectional retrospective study. Nephrol Dial Transpl. 2011;26:2377–81.

    Article  Google Scholar 

  18. Neuhauser H, Thamm M, Ellert U. Blood pressure in Germany 2008-2011: results of the German health interview and examination survey for adults (DEGS1). Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz. 2013;56:795–801.

    Article  CAS  Google Scholar 

  19. Levey AS, Stevens LA, Schmid CHA. New equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12.

    Article  Google Scholar 

  20. Gossmann J, Wilhelm A, Kachel HG, et al. Long-term consequences of live kidney donation follow-up in 93% of living kidney donors in a single transplant center. Am J Transpl. 2005;5:2417–24.

    Article  Google Scholar 

  21. Ibrahim HN, Foley R, Tan L, et al. Long-term consequences of kidney donation. N Engl J Med. 2009;360:459–69.

    Article  CAS  Google Scholar 

  22. Janki S, Dols LF, Timman R, Mulder EE, Dooper IM, van de Wetering J, IJzermans JN. Five-year follow-up after live donor nephrectomy - cross-sectional and longitudinal analysis of a prospective cohort within the era of extended donor eligibility criteria. Transpl Int. 2017;30:266–76.

    Article  CAS  Google Scholar 

  23. Maple H, Chilcot J, Weinman J, Mamode N. Psychosocial wellbeing after living kidney donation - a longitudinal. prospective study Transpl Int. 2017;30:987–1001.

    PubMed  Google Scholar 

  24. Timmerman L, Timman R, Laging M, Zuidema WC, Beck DK, IJzermans JN, Busschbach JJ, Weimar W, Massey EK. Predicting mental health after living kidney donation: the importance of psychological factors. Br J Health Psychol. 2016;21:533–54.

    Article  Google Scholar 

  25. Kroencke S, Nashan B, Fischer L, Erim Y, Schulz KH. Donor quality of life up to two years after living donor liver transplantation: a prospective study. Transplantation. 2014;97:582–9.

    Article  Google Scholar 

  26. Demyttenaere K, De Fruyt J, Stahl SM. The many faces of fatigue in major depressive disorder. Int J Neuropsychopharmacol. 2005;8:93–105.

    Article  Google Scholar 

  27. Artom M, Moss-Morris R, Caskey F, Chilcot J. Fatigue in advanced kidney disease. Kidney Int. 2014;86:497–505.

    Article  CAS  Google Scholar 

  28. Meyer KB, Hartmann A, Mjøen G, Andersen MH. Relationships between clinical, self-reported, and donation specific outcomes: a prospective follow-up study 10 years after kidney donation. Ann Transplant. 2017;22:148–55.

    Article  Google Scholar 

  29. Janki S, Klop KW, Dooper IM, Weimar W, Ijzermans JN, Kok NF. More than a decade after live donor nephrectomy: a prospective cohort study. Transpl Int. 2015;28:1268–75.

    Article  Google Scholar 

  30. Perez-Lopez FR, Perez-Roncero G. Fernandez-Inarrea. Resilience, depressed mood, and menopausal symptoms in postmenopausal women. Menopause. 2014;21:159–64.

    Article  Google Scholar 

Download references

Acknowledgements

We thank all participating patients and study co-ordinators contributing to this work.

  1. A.

    Made substantial contributions to conception and design, or acquisition of data, or analysis and interpretation of data;

  2. B.

    Been involved in drafting the manuscript or revising it critically for important intellectual content;

  3. C.

    Given final approval of the version to be published. Each author should have participated sufficiently in the work to take public responsibility for appropriate portions of the content; and

  4. D.

    Agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Funding

The study was partially funded by the German Society of Nephrology, the “Women and Kidney” Working Group, and the Heidelberg Renal Clinic, Germany. The funder did not have any impact on project design, performance of the study, data analysis or interpretation. The funder did not participate in writing of the manuscript.

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Authors and Affiliations

Authors

Contributions

CS set up the study concept and design, participated in the study conduct, data acquisition, data analysis and interpretation, and wrote the manuscript. SE participated in the study conduct, data collection, data analysis and was involved in drafting of the manuscript. NGM participated in the establishment of the questionnaire, the study conduct, and was involved in drafting of the manuscript. ML performed psychological patient care and was involved in drafting of the manuscript. MZ was involved in the study conception and drafting of the manuscript. All authors approved the final version of the manuscript and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Corresponding author

Correspondence to Claudia Sommerer.

Ethics declarations

Ethics approval and consent to participate

The study was performed according to the Declaration of Helsinki as revised in 2003 and approved by the institutional Ethics Committee (Ethic Committee of the Heidelberg Medical Faculty, no. S104–2011). Written informed consent was obtained from all participating donors.

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All authors approved the final manuscript and provided consent for publication.

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The authors declare that they have no competing interests.

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Additional file

Additional file 1

Table S1. Comparison of the female donors of the age group 51–60 years with results lower than two standard deviations from the mean value of the age and gender matched German general population in the “Mental Component Summary Score” of the SF-36 with female donors above this value. (DOCX 16 kb)

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Sommerer, C., Estelmann, S., Metzendorf, N.G. et al. Gender disparity in health-related quality of life and fatigue after living renal donation. BMC Nephrol 19, 377 (2018). https://doi.org/10.1186/s12882-018-1187-8

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  • DOI: https://doi.org/10.1186/s12882-018-1187-8

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