There are many sex (and gender) related considerations to be taken into account when providing care for patients awaiting an organ transplant. When on dialysis, women are less likely to be waitlisted for kidney transplantation and to receive a deceased [1, 2] or living donor organ [3], while in reverse, more women than men are living kidney donors [4]. Country-specific analysis might reveal further inequalities in the process of kidney donation that place women at a disadvantage. Here we analysed the sex distribution among living kidney donors and recipients in various countries and compared them with the countries’ general population sex distribution.
SEX DISTRIBUTION OF DONORS AND RECIPIENTS IN LIVING KIDNEY DONATION
We examined 16 studies reporting the sex distribution in living kidney donation, mostly summarized in a review by Carrero et al. [4] and provided in Table 1. These were single-centre experiences (China, UK, Egypt, India, Iran, South Korea, Nepal, Russia and Turkey), national registries (Thailand, Norway, Oman and Switzerland), other sources (German Foundation of Organ transplantation, US Scientific Registry of Transplant Recipients) and an assembly from countrywide transplant centres (Nigeria). In the study from Russia, only related donors were analysed, while in the study from Norway, only first grafts were included. Donor sex was not reported in two studies (Egypt and Nigeria). Among 36 666 living kidney donations from 14 countries, 45.4% of donors were men and 54.6% were women, while for recipients, 59.7% were men and 40.3% were women. When weighted with the population size of each country [5], the donor distribution consisted of 35.9% men and 64.1% women, and for the recipients, of 78.3% men and 21.7% women, although not all studies were likely to be population representative. Six out of 14 studies reported a women donor proportion above 60%. Women donor rates equal to or below 50% were observed in Iran, South Korea, Thailand and Oman.
Table 1.
Sex distribution in living kidney donation by country
| China | UK | Egypt | Germany | India | Iran | South Korea | Nepal | Nigeria | Norway | Oman | Russia | Switzerland | Thailand | Turkey | USA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reference | Liu, | Peracha, | Soliman, | Biller-Andorno, | Bal, | Ghods, | Kwon, | Chalise, | Arogundade, | Øien, | Mohsin, | Goryainov, | Thiel, | Noppakun, | Mıhçıokur, | Kayler, |
| 2013 | 2016 | 2015 | 2002 | 2007 | 2003 | 2004 | 2010 | 2011 | 2005 | 2007 | 2016 | 2005 | 2015 | 2019 | 2003 | |
| Total donations, N | 139 | 713 | 74 | 380 | 682 | 1500 | 614 | 35 | 143 | 1319 | 198 | 271 | 631 | 2063 | 1611 | 26 510 |
| Female recipients, % | 20 | 39 | 26 | 38 | 11 | 37 | 31 | 29 | 23 | 37 | 38 | 42 | 36 | 38 | 26 | 43 |
| Female donors, % | 69 | 55 | n/a | 64 | 66 | 22 | 42 | 71 | n/a | 58 | 50 | 60 | 65 | 49 | 58 | 56 |
| Expected donor poola (female, %) | 61.0–76.0 | 51.4–58.6 | n/a | 59.1–68.6 | 62.4–69.4 | 20.0–24.1 | 38.2–45.9 | 54.8–83.2 | n/a | 55.4–60.6 | 43.2–56.8 | 54.2–65.6 | 61.3–68.6 | 46.9–51.1 | 56.0–60.0 | 55.4–56.6 |
| General population (female, %) | 48.62013 | 50.72016 | 49.52015 | 51.22002 | 48.02007 | 49.12003 | 49.82004 | 50.82010 | 49.42011 | 50.42005 | 43.42005 | 53.72016 | 51.12005 | 51.22015 | 50.62019 | 50.72003 |
| Non-tobacco users (female, %) | 65.62012 | 51.82016 | 62.72014 | 53.92007 | 59.42007 | 56.12007 | 66.12007 | 64.12010 | 51.92010 | 52.02007 | 48.12007 | 64.02016 | 53.92007 | 65.42014 | 59.12018 | 56.32007 |
| Non-obese (female, %) | 48.32013 | 50.02015 | 43.12016 | 51.12002 | 47.62007 | 45.92003 | 49.52004 | 50.32010 | 47.82011 | 49.92005 | 41.02005 | 49.82015 | 51.92005 | 49.52015 | 44.52015 | 46.02003 |
| No CVD (female, %) | 48.12013 | 50.92016 | 49.82016 | 51.22002 | 48.12007 | 49.42003 | 49.62004 | 51.02010 | 49.42011 | 50.22005 | 43.62005 | 52.72016 | 51.02005 | 51.12015 | 49.92019 | 50.52003 |
| No diabetes mellitus (female, %) | 48.92013 | 51.62016 | 49.52016 | 51.12002 | 48.12007 | 49.12003 | 50.02004 | 51.02010 | 49.42011 | 50.82005 | 43.62005 | 53.42016 | 51.32005 | 51.22015 | 50.12019 | 51.02003 |
| No CKD (female, %) | 47.62013 | 50.32016 | 49.02016 | 50.22002 | 48.02007 | 48.72003 | 49.32004 | 50.82010 | 49.32011 | 50.02005 | 43.12005 | 52.92016 | 50.02005 | 50.72015 | 49.42019 | 49.72003 |
| Employed (female, %) | 44.32013 | 46.82016 | 20.22015 | 44.52002 | 25.02007 | 16.82003 | 40.92004 | 49.62010 | 45.92011 | 47.82005 | 22.22005 | 48.62016 | 45.02005 | 45.72015 | 32.32019 | 46.02003 |
| DOI | https://doi.org/10.1111/ctr.12003 | https://doi.org/10.6002/ect.2015.0150 | https://doi.org/10.7537/marslsj120315.03 | https://doi.org/10.1023/a:1016053024671 | https://doi.org/10.1016/j.transproceed.2007.08.089 | https://doi.org/10.1016/j.transproceed.2003.09.019 | https://doi.org/10.1016/j.transproceed.2004.07.046 | PMID: 20427894 | https://doi.org/10.1038/kisup.2013.23 | https://doi.org/10.1093/ndt/gfh696 | https://doi.org/10.1016/j.transproceed.2007.04.016 | https://doi.org/10.17116/hirurgia2016662-67 | https://doi.org/10.1016/j.transproceed.2004.12.279 | https://doi.org/10.1111/nep.12378 | https://doi.org/10.6002/ect.MESOT2018.P109 | https://doi.org/10.1034/j.1600–6143.2003.00086.x |
Expected proportion of sex in the donor pool given as intervals (= expected sex distribution in the country's donor population, derived by the observed sex distribution of donors leading to an insignificant chi-squared test if the true, unknown distribution would be compared to the observed distribution). General population = sex distribution of the respective country in the year of the donor statistic. Red: the proportion of women in the general population was lower than the expected donor pool. Orange: the proportion of women in the general population was higher than the expected donor pool. Green: the proportion of women in the general population was compatible with the expected donor pool. Two studies were excluded because living and deceased donors were not discriminated (Tunisia: https://doi.org/10.1016/j.transproceed.2008.12.030 and Saudi Arabia: PMID: 18 202 511). CKD = chronic kidney disease; CVD = cardiovascular disease.
LIVING KIDNEY DONATION IS SHIFTED TOWARDS WOMEN AND VARIES BY COUNTRY
Based on the observed sex distribution of kidney donors in each study, we calculated intervals for the sex distribution of the ‘expected donor pool’, assuming equal donation rates of men and women within that pool. The obtained intervals represent ranges of sex distributions within which a chi-square test, testing a difference between expected and observed distribution, would be statistically insignificant, i.e. men and women in this theoretical ‘expected donor pool’ are equally likely to donate. If the sex distribution of the country's general population from the respective year [5] was within the intervals of the expected donor pool, we interpreted this result as unbiased kidney donation. Our analysis revealed that in 10 out of 14 studies, women were over-represented in the expected donor pool, compared with the proportion of women within the general population of the corresponding country (marked as red columns in Table 1). Oman was the only country where the expected donor pool was in line with the country's sex distribution, thus men and women were equally likely to donate. In only 3 out of 14 countries (Iran, South Korea and Thailand), we observed donation rates that were shifted towards men. The fact that financial compensation for kidney donation is legal in Iran is a possible explanation for this exception [6, 7].
POTENTIAL MECHANISMS LEADING TO BIASED LIVING KIDNEY DONATION
Besides biological causes, socio-cultural, socio-economic and psychological factors are possible explanations for the observed sex disparity among kidney donors. The sex distributions of some potential biological causes for this disparity (and of smoking, which may be a socio-cultural risk factor for disease) are listed in Table 1 for each country. Although a thorough interpretation here is beyond the scope, the absence of biological risk factors that might prevent kidney donation was not genuinely shifted towards women. This observation was especially notable for kidney disease itself, which is generally more prevalent among women than men, although it is well known that more men than women undergo kidney replacement therapy by dialysis [4]. The absence of tobacco use was clearly shifted towards women in all countries, and women were much less frequently employed than men in all of the examined countries except Nigeria. The latter two disproportions might be important contributors to the preponderance of kidney donation by women.
Examining individual donor pools, Zimmerman et al. observed that among acceptable donors more women proceeded to donation, and that the excess of women donors was influenced by the predominance of women among spousal donors rather than immunological or medical exclusion criteria [8]. A greater imbalance among spousal donors was also seen in transplantation registries from the USA [9] and Norway [10]. It remains a possible explanation that fewer men are potential donors to their woman partners than the other way around due to economic reasons, sensitization to the husband's antigens or simply better health of women [11]. Examining the total donor pool, a previous population-based analysis showed that after adjusting for possible explanatory factors like differences in the need for kidney replacement therapy, women still had a 44% higher incidence of donation (31% in living related donation) and decline in income had a greater effect on donation from men than women [12].
The process of decision-making in living kidney donation is complex and includes, besides biological boundaries, also themes of compelled altruism, inherent responsibility, accepting risks, family expectation, personal benefit and spiritual confirmation [13]. It is possible that women’s gender roles, empathy and altruistic behaviour contribute to greater living kidney donation in women [11]. Also, fewer men might proceed to kidney donation due to economic responsibility in the family, which might be influencing donation in Iran [14], where it can be financially compensated.
LIMITATIONS AND OUTLOOK
Our analysis is limited by the possibility that the sex distribution within a country might not accurately depict the distribution within the true donor pool and that the time period of different research studies from the 14 countries analysed ranges from 2003 to 2019. Equalling 16 years, such a large time span may make for an unfair comparison, especially with the increased public awareness and promotion of organ donation. However, we would like to point out that the purpose of the present analysis is not to judge any country's organ donation practice. As a further limitation, we also could not adjust our analysis for influential variables such as age, health and the varying comorbidity burden across the sexes, because we did not request access to the original datasets that we included in Table 1. In future research, it would be interesting to examine whether the most prominent modifiable variables that were identified for women (absence of smoking and employment) can perhaps partly explain some sex disparities in living kidney donation. Also, the psychological requirements for a kidney donor should be compared between the different countries in light of sex and gender topics.
In conclusion, the female-to-male donor rate was disproportionately high in relation to the sex distribution in most countries. We assume intertwined sex (biological) and gender (social/cultural) influences and a great impact of socio-economic, socio-cultural and psychological factors, as we identified greatly varying international proportions of woman kidney donors compared with men. Among the research opportunities that might be able to shed further light on sex and gender disparities in living kidney donation, we suggest that input from patients themselves could be the most promising and least explored so far.
Acknowledgements
We acknowledge support from the Austrian Science Fund (grant number KL754-B).
Contributor Information
Amelie Kurnikowski, Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Simon Krenn, Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Michal J Lewandowski, Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Elisabeth Schwaiger, Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Allison Tong, Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria; Sydney School of Public Health, The University of Sydney, Sydney, Australia.
Kitty J Jager, ERA Registry, Amsterdam UMC, University of Amsterdam, Department of Medical Informatics, Amsterdam Public Health research institute, Amsterdam, The Netherlands.
Juan Jesus Carrero, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Manfred Hecking, Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Sebastian Hödlmoser, Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria; Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
FUNDING
DATA SOURCES
General population: https://data.worldbank.org/indicator/SP.POP.TOTL.
Cardiovascular disease, diabetes, chronic kidney disease: http://ghdx.healthdata.org/gbd-results-tool.
Tobacco: https://apps.who.int/iris/rest/bitstreams/1263754/retrieve.
Employment: https://www.ilo.org/wesodata/.
CONFLICT OF INTEREST STATEMENT
None of the authors has any relevant conflict of interest to declare. The results presented in this paper have not been published previously in whole or part.
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