Predicting operation time and creating a difficulty scoring system in donor nephrectomy

To determine predictive formulas for operation time and surgical difficulty in laparoscopic living-donor kidney transplantation. We retrospectively analyzed data for 222 living donors aged > 20 years and recorded factors affecting operation time from patients' computed tomography images and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of endourology 2021-11, Vol.35 (11), p.1623-1630
Hauptverfasser: Kaku, Keizo, Okabe, Yasuhiro, Sato, Yu, Hisadome, Yu, Mei, Takanori, Noguchi, Hiroshi, Nakamura, Masafumi
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1630
container_issue 11
container_start_page 1623
container_title Journal of endourology
container_volume 35
creator Kaku, Keizo
Okabe, Yasuhiro
Sato, Yu
Hisadome, Yu
Mei, Takanori
Noguchi, Hiroshi
Nakamura, Masafumi
description To determine predictive formulas for operation time and surgical difficulty in laparoscopic living-donor kidney transplantation. We retrospectively analyzed data for 222 living donors aged > 20 years and recorded factors affecting operation time from patients' computed tomography images and medical records. We used the factors significantly affecting operation time to create a formula to predict operation time and designed a model to predict surgical difficulty based on the standardized partial regression coefficient, β. We also analyzed the relationship between surgical difficulty (high vs low) and operation time. This study involved 111 pure retroperitoneal donor nephrectomies (PRDN) and 111 hand-assisted laparoscopic donor nephrectomies (HALDN). Patients' mean age was 55.7 years, and 59.5% were women; 5.0% underwent right nephrectomy, and 77.0% vs. 23.0% had single- vs. multiple renal arteries. The average estimated kidney graft weight was 160.0 g; actual average graft weight was 155.3 g. The following factors were significantly correlated with operation time in the regression analysis: number of renal arteries, Mayo adhesive probability (MAP) score, estimated kidney graft weight, right nephrectomy, and operation type (PRDN). These five factors were used to create the operation time prediction equation and difficulty scoring system. The multiple r2 value was 0.40 for the operation time prediction equation. Receiver operating characteristic curve analysis of the difficulty scoring system revealed the following: sensitivity: 78.0%, specificity: 64.9%, and c-statistic: 0.76 (95% confidence interval: 0.70-0.83). The equation to predict operation time and the surgical difficulty prediction model created in this study are easy to calculate and are accurate. Both may help in selecting an appropriately-skilled surgeon and in improving safety in living-donor kidney transplantation.
doi_str_mv 10.1089/end.2020.1181
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2519812633</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2519812633</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-976a6c3f1c654d8de477c70589738b434384bfe7c273664de7822883626bdb413</originalsourceid><addsrcrecordid>eNo9kDtPwzAUhS0EoqUwsiKPLAE_EtsZUcVLqgQDCDYrsW_AqLGDnQz59yS0MF2dez6d4UPonJIrSlR5Dd5eMcKmRBU9QEtaFDIrCXk_RMupZ5mUJVmgk5S-CKFcUH6MFpyXlMsiX6K35wjWmd75Dxw6iFXvgse9awFX3mITofrtKmxd0zgzbPsRJxPi_Exj6qHFzmMbfIjYQ_cZwfShHU_RUVNtE5zt7wq93t2-rB-yzdP94_pmkxlW8j4rpaiE4Q01ositspBLaSQpVCm5qnOec5XXDUjDJBcityAVY0pxwURt65zyFbrc7XYxfA-Qet26ZGC7rTyEIWlW0FJRJjif0GyHmhhSitDoLrq2iqOmRM8u9eRSzy717HLiL_bTQ92C_af_5PEfzppvoQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2519812633</pqid></control><display><type>article</type><title>Predicting operation time and creating a difficulty scoring system in donor nephrectomy</title><source>Alma/SFX Local Collection</source><creator>Kaku, Keizo ; Okabe, Yasuhiro ; Sato, Yu ; Hisadome, Yu ; Mei, Takanori ; Noguchi, Hiroshi ; Nakamura, Masafumi</creator><creatorcontrib>Kaku, Keizo ; Okabe, Yasuhiro ; Sato, Yu ; Hisadome, Yu ; Mei, Takanori ; Noguchi, Hiroshi ; Nakamura, Masafumi</creatorcontrib><description>To determine predictive formulas for operation time and surgical difficulty in laparoscopic living-donor kidney transplantation. We retrospectively analyzed data for 222 living donors aged &gt; 20 years and recorded factors affecting operation time from patients' computed tomography images and medical records. We used the factors significantly affecting operation time to create a formula to predict operation time and designed a model to predict surgical difficulty based on the standardized partial regression coefficient, β. We also analyzed the relationship between surgical difficulty (high vs low) and operation time. This study involved 111 pure retroperitoneal donor nephrectomies (PRDN) and 111 hand-assisted laparoscopic donor nephrectomies (HALDN). Patients' mean age was 55.7 years, and 59.5% were women; 5.0% underwent right nephrectomy, and 77.0% vs. 23.0% had single- vs. multiple renal arteries. The average estimated kidney graft weight was 160.0 g; actual average graft weight was 155.3 g. The following factors were significantly correlated with operation time in the regression analysis: number of renal arteries, Mayo adhesive probability (MAP) score, estimated kidney graft weight, right nephrectomy, and operation type (PRDN). These five factors were used to create the operation time prediction equation and difficulty scoring system. The multiple r2 value was 0.40 for the operation time prediction equation. Receiver operating characteristic curve analysis of the difficulty scoring system revealed the following: sensitivity: 78.0%, specificity: 64.9%, and c-statistic: 0.76 (95% confidence interval: 0.70-0.83). The equation to predict operation time and the surgical difficulty prediction model created in this study are easy to calculate and are accurate. Both may help in selecting an appropriately-skilled surgeon and in improving safety in living-donor kidney transplantation.</description><identifier>ISSN: 0892-7790</identifier><identifier>EISSN: 1557-900X</identifier><identifier>DOI: 10.1089/end.2020.1181</identifier><identifier>PMID: 33913754</identifier><language>eng</language><publisher>United States</publisher><ispartof>Journal of endourology, 2021-11, Vol.35 (11), p.1623-1630</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-976a6c3f1c654d8de477c70589738b434384bfe7c273664de7822883626bdb413</citedby><cites>FETCH-LOGICAL-c293t-976a6c3f1c654d8de477c70589738b434384bfe7c273664de7822883626bdb413</cites><orcidid>0000-0001-9119-1508</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33913754$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kaku, Keizo</creatorcontrib><creatorcontrib>Okabe, Yasuhiro</creatorcontrib><creatorcontrib>Sato, Yu</creatorcontrib><creatorcontrib>Hisadome, Yu</creatorcontrib><creatorcontrib>Mei, Takanori</creatorcontrib><creatorcontrib>Noguchi, Hiroshi</creatorcontrib><creatorcontrib>Nakamura, Masafumi</creatorcontrib><title>Predicting operation time and creating a difficulty scoring system in donor nephrectomy</title><title>Journal of endourology</title><addtitle>J Endourol</addtitle><description>To determine predictive formulas for operation time and surgical difficulty in laparoscopic living-donor kidney transplantation. We retrospectively analyzed data for 222 living donors aged &gt; 20 years and recorded factors affecting operation time from patients' computed tomography images and medical records. We used the factors significantly affecting operation time to create a formula to predict operation time and designed a model to predict surgical difficulty based on the standardized partial regression coefficient, β. We also analyzed the relationship between surgical difficulty (high vs low) and operation time. This study involved 111 pure retroperitoneal donor nephrectomies (PRDN) and 111 hand-assisted laparoscopic donor nephrectomies (HALDN). Patients' mean age was 55.7 years, and 59.5% were women; 5.0% underwent right nephrectomy, and 77.0% vs. 23.0% had single- vs. multiple renal arteries. The average estimated kidney graft weight was 160.0 g; actual average graft weight was 155.3 g. The following factors were significantly correlated with operation time in the regression analysis: number of renal arteries, Mayo adhesive probability (MAP) score, estimated kidney graft weight, right nephrectomy, and operation type (PRDN). These five factors were used to create the operation time prediction equation and difficulty scoring system. The multiple r2 value was 0.40 for the operation time prediction equation. Receiver operating characteristic curve analysis of the difficulty scoring system revealed the following: sensitivity: 78.0%, specificity: 64.9%, and c-statistic: 0.76 (95% confidence interval: 0.70-0.83). The equation to predict operation time and the surgical difficulty prediction model created in this study are easy to calculate and are accurate. Both may help in selecting an appropriately-skilled surgeon and in improving safety in living-donor kidney transplantation.</description><issn>0892-7790</issn><issn>1557-900X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNo9kDtPwzAUhS0EoqUwsiKPLAE_EtsZUcVLqgQDCDYrsW_AqLGDnQz59yS0MF2dez6d4UPonJIrSlR5Dd5eMcKmRBU9QEtaFDIrCXk_RMupZ5mUJVmgk5S-CKFcUH6MFpyXlMsiX6K35wjWmd75Dxw6iFXvgse9awFX3mITofrtKmxd0zgzbPsRJxPi_Exj6qHFzmMbfIjYQ_cZwfShHU_RUVNtE5zt7wq93t2-rB-yzdP94_pmkxlW8j4rpaiE4Q01ositspBLaSQpVCm5qnOec5XXDUjDJBcityAVY0pxwURt65zyFbrc7XYxfA-Qet26ZGC7rTyEIWlW0FJRJjif0GyHmhhSitDoLrq2iqOmRM8u9eRSzy717HLiL_bTQ92C_af_5PEfzppvoQ</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Kaku, Keizo</creator><creator>Okabe, Yasuhiro</creator><creator>Sato, Yu</creator><creator>Hisadome, Yu</creator><creator>Mei, Takanori</creator><creator>Noguchi, Hiroshi</creator><creator>Nakamura, Masafumi</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9119-1508</orcidid></search><sort><creationdate>20211101</creationdate><title>Predicting operation time and creating a difficulty scoring system in donor nephrectomy</title><author>Kaku, Keizo ; Okabe, Yasuhiro ; Sato, Yu ; Hisadome, Yu ; Mei, Takanori ; Noguchi, Hiroshi ; Nakamura, Masafumi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-976a6c3f1c654d8de477c70589738b434384bfe7c273664de7822883626bdb413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kaku, Keizo</creatorcontrib><creatorcontrib>Okabe, Yasuhiro</creatorcontrib><creatorcontrib>Sato, Yu</creatorcontrib><creatorcontrib>Hisadome, Yu</creatorcontrib><creatorcontrib>Mei, Takanori</creatorcontrib><creatorcontrib>Noguchi, Hiroshi</creatorcontrib><creatorcontrib>Nakamura, Masafumi</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of endourology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kaku, Keizo</au><au>Okabe, Yasuhiro</au><au>Sato, Yu</au><au>Hisadome, Yu</au><au>Mei, Takanori</au><au>Noguchi, Hiroshi</au><au>Nakamura, Masafumi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting operation time and creating a difficulty scoring system in donor nephrectomy</atitle><jtitle>Journal of endourology</jtitle><addtitle>J Endourol</addtitle><date>2021-11-01</date><risdate>2021</risdate><volume>35</volume><issue>11</issue><spage>1623</spage><epage>1630</epage><pages>1623-1630</pages><issn>0892-7790</issn><eissn>1557-900X</eissn><abstract>To determine predictive formulas for operation time and surgical difficulty in laparoscopic living-donor kidney transplantation. We retrospectively analyzed data for 222 living donors aged &gt; 20 years and recorded factors affecting operation time from patients' computed tomography images and medical records. We used the factors significantly affecting operation time to create a formula to predict operation time and designed a model to predict surgical difficulty based on the standardized partial regression coefficient, β. We also analyzed the relationship between surgical difficulty (high vs low) and operation time. This study involved 111 pure retroperitoneal donor nephrectomies (PRDN) and 111 hand-assisted laparoscopic donor nephrectomies (HALDN). Patients' mean age was 55.7 years, and 59.5% were women; 5.0% underwent right nephrectomy, and 77.0% vs. 23.0% had single- vs. multiple renal arteries. The average estimated kidney graft weight was 160.0 g; actual average graft weight was 155.3 g. The following factors were significantly correlated with operation time in the regression analysis: number of renal arteries, Mayo adhesive probability (MAP) score, estimated kidney graft weight, right nephrectomy, and operation type (PRDN). These five factors were used to create the operation time prediction equation and difficulty scoring system. The multiple r2 value was 0.40 for the operation time prediction equation. Receiver operating characteristic curve analysis of the difficulty scoring system revealed the following: sensitivity: 78.0%, specificity: 64.9%, and c-statistic: 0.76 (95% confidence interval: 0.70-0.83). The equation to predict operation time and the surgical difficulty prediction model created in this study are easy to calculate and are accurate. Both may help in selecting an appropriately-skilled surgeon and in improving safety in living-donor kidney transplantation.</abstract><cop>United States</cop><pmid>33913754</pmid><doi>10.1089/end.2020.1181</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-9119-1508</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0892-7790
ispartof Journal of endourology, 2021-11, Vol.35 (11), p.1623-1630
issn 0892-7790
1557-900X
language eng
recordid cdi_proquest_miscellaneous_2519812633
source Alma/SFX Local Collection
title Predicting operation time and creating a difficulty scoring system in donor nephrectomy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T14%3A44%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Predicting%20operation%20time%20and%20creating%20a%20difficulty%20scoring%20system%20in%20donor%20nephrectomy&rft.jtitle=Journal%20of%20endourology&rft.au=Kaku,%20Keizo&rft.date=2021-11-01&rft.volume=35&rft.issue=11&rft.spage=1623&rft.epage=1630&rft.pages=1623-1630&rft.issn=0892-7790&rft.eissn=1557-900X&rft_id=info:doi/10.1089/end.2020.1181&rft_dat=%3Cproquest_cross%3E2519812633%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2519812633&rft_id=info:pmid/33913754&rfr_iscdi=true