{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T09:50:06Z","timestamp":1791625806359,"version":"4.3.4"},"reference-count":26,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:00:00Z","timestamp":1791590400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Australian National Health and Medical Research Council","award":["APP1127437"],"award-info":[{"award-number":["APP1127437"]}],"id":[{"id":"https:\/\/ror.org\/011kf5r70","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>STUDY QUESTION<\/jats:title>\n                    <jats:p>Do conception methods and related pregnancy outcomes differ between women with and without kidney disease?<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>SUMMARY ANSWER<\/jats:title>\n                    <jats:p>In this cohort, 3.3% of births among women with kidney disorders were conceived using ART, 1.9% were conceived following IUI and ovulation induction (OI), and 94.8% were conceived spontaneously; however, women with kidney disorders consistently experienced higher risks of adverse pregnancy outcomes than those without, regardless of conception method.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>WHAT IS KNOWN ALREADY<\/jats:title>\n                    <jats:p>Kidney disorders can impair fertility and pregnancy outcomes, but population\u2011level data on the use of medically assisted reproduction (MAR), including ART, IUI, and OI, in this group are limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>STUDY DESIGN, SIZE, DURATION<\/jats:title>\n                    <jats:p>This retrospective cohort study included all live births and stillbirths in New South Wales (NSW) and the Australian Capital Territory (ACT), Australia, between 2009 and 2017.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>PARTICIPANTS\/MATERIALS, SETTING, METHODS<\/jats:title>\n                    <jats:p>We used linked state perinatal records to identify births. Kidney disorder diagnoses before delivery were identified using hospital dataset diagnostic coding. Conception mode was classified as (i) spontaneous conception, (ii) IUI\/OI, or (iii) ART (including IVF or ICSI or other procedures [e.g. gamete intra-fallopian transfer, surrogacy]) using the Australia and New Zealand Assisted Reproduction Database and the national claims databases for medical services and pharmaceutical dispensing.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>MAIN RESULTS AND THE ROLE OF CHANCE<\/jats:title>\n                    <jats:p>During the study period, 911\u00a0229 babies were born from 898\u00a0084 pregnancies among 606\u00a0488 mothers in NSW\/ACT. Among these, 10\u00a0858 babies (1.2%) were born to 7634 mothers with kidney disorders. Of the babies born to mothers with kidney disorders, 563 babies (5.2%), born to 470 mothers, were MAR-conceived. Women who conceived via MAR were older than those who conceived spontaneously in both groups (kidney disorders: MAR median age 33 (IQR: 30\u201337) years vs spontaneous median age 29 (24\u201333), standardized difference (sdiff)\u2009=\u20090.80; non-kidney disorders: MAR median age 34 (31\u201338) years vs spontaneous median age 31 (27\u201335), sdiff = 0.71). The most common kidney disorders were renal tubulo-interstitial diseases (MAR: 62.1% vs spontaneous: 72.7%) and urolithiasis (MAR: 36.8% vs spontaneous: 27.2%). The proportion of births conceived using ART was 3.3% among births to women with kidney disorders. The most common MAR treatments were fresh embryo transfers (33.6% kidney disorders vs 37.4% non-kidney disorders), frozen embryo transfers (28.7% vs 29.5%), any OI\/IUI (36.0% vs 31.8%), and OI using clomiphene citrate alone (27.0% vs 23.5%). After adjusting for maternal age, parity, Index of Relative Socio-economic Disadvantage, multiple births and pre-existing diabetes, hypertension, and cardiovascular disease, women with kidney disorders had higher odds of caesarean section (MAR: OR 1.49, 95% CI 1.22\u20131.81; spontaneous: 1.36, 1.29\u20131.44), preterm birth (MAR: 2.09, 1.62\u20132.70; spontaneous: 1.76, 1.64\u20131.89), low birthweight (MAR: 1.69, 1.27\u20132.27; spontaneous 1.54, 1.41\u20131.67), and low Apgar scores (MAR 1.37, 1.06\u20131.79; spontaneous 1.17, 1.09\u20131.26) than women without kidney disorders, regardless of conception method.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>LIMITATIONS, REASONS FOR CAUTION<\/jats:title>\n                    <jats:p>As our study included only women who achieved a birth, it did not include those who underwent MAR but did not conceive or those who experienced miscarriage; therefore, MAR success rates could not be assessed. The association between kidney disorders and adverse pregnancy outcomes should not be interpreted as causal.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>WIDER IMPLICATIONS OF THE FINDINGS<\/jats:title>\n                    <jats:p>Although most births among women with kidney disorders were spontaneously conceived, MAR was utilized by a substantial proportion of women with and without kidney disorders, particularly among older women. Women with kidney disorders experienced higher risks of adverse pregnancy outcomes regardless of conception method, emphasizing the importance of early identification and specialized multidisciplinary care throughout the reproductive journey.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>FUNDING<\/jats:title>\n                    <jats:p>This study is funded by the Australian National Health and Medical Research Council (APP1127437).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCLOSURES<\/jats:title>\n                    <jats:p>The National Perinatal Epidemiology and Statistics Unit (NPESU) at University of New South Wales (UNSW) received funding from the Fertility Society of Australia and New Zealand (FSANZ) to prepare annual and benchmarking reports using data from the Australian and New Zealand Assisted Reproductive Technology Database (ANZARD). G.M.C is the Director of the NPESU and an employee of UNSW. W.L. is a deputy editor for Human Reproduction. The remaining authors have no relevant disclosures for this study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>TRIAL REGISTRATION NUMBER<\/jats:title>\n                    <jats:p>N\/A.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/humrep\/deag161","type":"journal-article","created":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T12:01:55Z","timestamp":1790164915000},"source":"Crossref","is-referenced-by-count":0,"title":["Conception methods and perinatal outcomes among women with kidney disorders: an Australian population-based cohort study"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8320-3668","authenticated-orcid":false,"given":"Erandi","family":"Hewawasam","sequence":"first","affiliation":[{"name":"National Perinatal Epidemiology and Statistics Unit, Centre for Big Data Research in Health, University of New South Wales , Sydney,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9695-0761","authenticated-orcid":false,"given":"Shilpanjali","family":"Jesudason","sequence":"additional","affiliation":[{"name":"Central and Northern Adelaide Renal and Transplantation Services, Royal Adelaide Hospital , Adelaide, South Australia,","place":["Australia"]},{"name":"Faculty of Health and Medical Sciences, Adelaide University , Adelaide, South Australia,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3003-4354","authenticated-orcid":false,"given":"Amanda","family":"Sluiter","sequence":"additional","affiliation":[{"name":"Centre for Kidney Research, The Children\u2019s Hospital at Westmead , Sydney,","place":["Australia"]},{"name":"School of Public Health, The University of Sydney , Sydney,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1813-3971","authenticated-orcid":false,"given":"M Louise","family":"Hull","sequence":"additional","affiliation":[{"name":"Robinson Research Institute, Adelaide University , Adelaide, South Australia,","place":["Australia"]},{"name":"Embrace Fertility , Adelaide, South Australia,","place":["Australia"]},{"name":"Women\u2019s and Children\u2019s Hospital , Adelaide, South Australia,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaushalya","family":"Arulpragasam","sequence":"additional","affiliation":[{"name":"Royal Hospital for Women , Sydney, New South Wales,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0390-661X","authenticated-orcid":false,"given":"Louisa","family":"Jorm","sequence":"additional","affiliation":[{"name":"Centre for Big Data Research in Health, University of New South Wales , Sydney,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8980-0909","authenticated-orcid":false,"given":"Wentao","family":"Li","sequence":"additional","affiliation":[{"name":"National Perinatal Epidemiology and Statistics Unit, Centre for Big Data Research in Health, University of New South Wales , Sydney,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0215-3249","authenticated-orcid":false,"given":"Georgina M","family":"Chambers","sequence":"additional","affiliation":[{"name":"National Perinatal Epidemiology and Statistics Unit, Centre for Big Data Research in Health, University of New South Wales , Sydney,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,10,10]]},"reference":[{"key":"2026101005165711100_deag161-B1","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1053\/j.ajkd.2026.02.652","article-title":"Reproductive health in CKD and kidney failure: core curriculum 2026","volume":"88","author":"Alleyne","year":"2026","journal-title":"Am J Kidney Dis"},{"key":"2026101005165711100_deag161-B2","author":"Australian Bureau of Statistics"},{"key":"2026101005165711100_deag161-B3","author":"Australian Institute of Health and Welfare","year":"2024"},{"key":"2026101005165711100_deag161-B4","doi-asserted-by":"crossref","first-page":"2227","DOI":"10.1007\/s40620-022-01510-x","article-title":"Systematic review of pregnancy and renal outcomes for women with chronic kidney disease receiving assisted reproductive therapy","volume":"35","author":"Bhaduri","year":"2022","journal-title":"J Nephrol"},{"key":"2026101005165711100_deag161-B5","doi-asserted-by":"crossref","first-page":"3216","DOI":"10.3390\/diagnostics13203216","article-title":"Female infertility in chronic kidney disease","volume":"13","author":"Bhaduri","year":"2023","journal-title":"Diagnostics (Basel)"},{"key":"2026101005165711100_deag161-B6","doi-asserted-by":"crossref","first-page":"2178","DOI":"10.1016\/j.ekir.2025.05.003","article-title":"Impact of CKD on female reproductive hormones","volume":"10","author":"Bhaduri","year":"2025","journal-title":"Kidney Int Rep"},{"key":"2026101005165711100_deag161-B7","first-page":"1679","article-title":"A bespoke data linkage of an IVF clinical quality registry to population health datasets; methods and performance","volume":"6","author":"Chambers","year":"2021","journal-title":"Int J Popul Data Sci"},{"key":"2026101005165711100_deag161-B8","doi-asserted-by":"crossref","first-page":"e325","DOI":"10.1097\/TP.0000000000002903","article-title":"Immunosuppression and reproductive health after kidney transplantation","volume":"103","author":"Chandra","year":"2019","journal-title":"Transplantation"},{"key":"2026101005165711100_deag161-B9","article-title":"Childbirth timing and completed family size by the mode of conception\u2014the role of medically assisted reproduction: a population-based cohort study in Australia","volume":"33","author":"Choi","year":"2023","journal-title":"Lancet Reg Health West Pac"},{"key":"2026101005165711100_deag161-B10","doi-asserted-by":"crossref","first-page":"hoaf020","DOI":"10.1093\/hropen\/hoaf020","article-title":"Perinatal risks associated with infertility and medically assisted reproduction: a population-based cohort study","volume":"2025","author":"Choi","year":"2025","journal-title":"Hum Reprod Open"},{"key":"2026101005165711100_deag161-B11","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1093\/humrep\/deac032","article-title":"Population-wide contribution of medically assisted reproductive technologies to overall births in Australia: temporal trends and parental characteristics","volume":"37","author":"Choi","year":"2022","journal-title":"Hum Reprod"},{"key":"2026101005165711100_deag161-B12","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1159\/000499965","article-title":"The spectrum of adverse pregnancy outcomes based on kidney disease diagnoses: a 20-year population study","volume":"49","author":"Fitzpatrick","year":"2019","journal-title":"Am J Nephrol"},{"key":"2026101005165711100_deag161-B13","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1038\/s41581-024-00820-6","article-title":"Chronic kidney disease and the global public health agenda: an international consensus","volume":"20","author":"Francis","year":"2024","journal-title":"Nat Rev Nephrol"},{"key":"2026101005165711100_deag161-B14","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1016\/j.ekir.2022.03.015","article-title":"Determinants of perinatal outcomes in dialyzed and transplanted women in Australia","volume":"7","author":"Hewawasam","year":"2022","journal-title":"Kidney Int Rep"},{"key":"2026101005165711100_deag161-B15","doi-asserted-by":"crossref","first-page":"1803","DOI":"10.1093\/ndt\/gfz174","article-title":"A single number for advocacy and communication\u2014worldwide more than 850 million individuals have kidney diseases","volume":"34","author":"Jager","year":"2019","journal-title":"Nephrol Dial Transplant"},{"key":"2026101005165711100_deag161-B16","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1016\/j.ekir.2022.04.081","article-title":"Parenthood with kidney failure: answering questions patients ask about pregnancy","volume":"7","author":"Jesudason","year":"2022","journal-title":"Kidney Int Rep"},{"key":"2026101005165711100_deag161-B17","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.1111\/1471-0528.17807","article-title":"Adverse pregnancy outcomes in pregnant women with chronic kidney disease: a systematic review and meta-analysis","volume":"131","author":"\\Jeyaraman","year":"2024","journal-title":"BJOG"},{"key":"2026101005165711100_deag161-B18","doi-asserted-by":"crossref","first-page":"79","DOI":"10.5694\/mja2.50676","article-title":"New Australian birthweight centiles","volume":"213","author":"Joseph","year":"2020","journal-title":"Med J Aust"},{"key":"2026101005165711100_deag161-B19","author":"Kotevski","year":"2025"},{"key":"2026101005165711100_deag161-B20","doi-asserted-by":"crossref","first-page":"e93","DOI":"10.1016\/j.fertnstert.2024.07.327","article-title":"Disentagling risk of adverse perinatal events associated with infertility and medically assisted reproduction: a population-based cohort study","volume":"122","author":"Li","year":"2024","journal-title":"Fertil Steril"},{"key":"2026101005165711100_deag161-B21","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1186\/s12887-015-0464-y","article-title":"Australian national birthweight percentiles by sex and gestational age for twins, 2001\u20132010","volume":"15","author":"Li","year":"2015","journal-title":"BMC Pediatrics"},{"key":"2026101005165711100_deag161-B22","doi-asserted-by":"crossref","first-page":"1896","DOI":"10.1097\/TP.0000000000005449","article-title":"Pregnancy outcomes using assisted reproductive technology in kidney transplant recipients","volume":"109","author":"Shah","year":"2025","journal-title":"Transplantation"},{"key":"2026101005165711100_deag161-B23","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1097\/EDE.0b013e3181577511","article-title":"Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration","volume":"18","author":"Vandenbroucke","year":"2007","journal-title":"Epidemiology (Fairfax)"},{"key":"2026101005165711100_deag161-B24","doi-asserted-by":"crossref","first-page":"2008","DOI":"10.1093\/ndt\/gfaa247","article-title":"The impact of chronic kidney disease stages 3-5 on pregnancy outcomes","volume":"36","author":"Wiles","year":"2021","journal-title":"Nephrol Dial Transplant"},{"key":"2026101005165711100_deag161-B25","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1038\/nrneph.2017.187","article-title":"Reproductive health and pregnancy in women with chronic kidney disease","volume":"14","author":"Wiles","year":"2018","journal-title":"Nat Rev Nephrol"},{"key":"2026101005165711100_deag161-B26","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1016\/j.fertnstert.2024.12.007","article-title":"Perinatal and infant outcomes after assisted reproductive technology treatment for endometriosis alone compared with other causes of infertility: a data linkage cohort study","volume":"123","author":"Zhang","year":"2025","journal-title":"Fertil Steril"}],"container-title":["Human Reproduction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/humrep\/advance-article-pdf\/doi\/10.1093\/humrep\/deag161\/71829067\/deag161.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/humrep\/advance-article-pdf\/doi\/10.1093\/humrep\/deag161\/71829067\/deag161.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T09:17:05Z","timestamp":1791623825000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/humrep\/advance-article\/doi\/10.1093\/humrep\/deag161\/8906077"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,10]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1093\/humrep\/deag161","relation":{},"ISSN":["0268-1161","1460-2350"],"issn-type":[{"value":"0268-1161","type":"print"},{"value":"1460-2350","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,10]]},"article-number":"deag161"}}