PD02-01 A NOVEL MULTIPLEX SCORE TO PREDICT OUTCOMES OF PARTIAL NEPHRECTOMY FOR MULTIPLE TUMORS Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1097/ju.0000000000000822.01
You have accessJournal of UrologyKidney Cancer: Localized: Surgical Therapy I (PD02)1 Apr 2020PD02-01 A NOVEL MULTIPLEX SCORE TO PREDICT OUTCOMES OF PARTIAL NEPHRECTOMY FOR MULTIPLE TUMORS Heather Chalfin*, Nitin Yerram, Sandeep Gurram, W. Marston Linehan, and Mark Ball Heather Chalfin*Heather Chalfin* More articles by this author , Nitin YerramNitin Yerram More articles by this author , Sandeep GurramSandeep Gurram More articles by this author , W. Marston LinehanW. Marston Linehan More articles by this author , and Mark BallMark Ball More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000822.01AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The RENAL nephrometry score (RNS) is widely used to describe renal mass complexity and inform patient counseling for partial nephrectomy (PN). However, in cases with multiple lesions (commonly seen in hereditary cancer syndromes) it is unknown which features drive postoperative complications. Here, we employed a novel scoring equation (Multiplex Score, MS) derived from RNS and assessed outcomes of multiplex PN at our institution. METHODS: The MS was defined a priori as a weighted score (# low risk (LR) lesions) + 2*(# intermediate risk (IR)) + 4*(# high risk (HR)) based on published Clavien-Dindo III-V complication rates of 6.4%, 11.1%, and 21.9% for LR, IR, and HR RNS respectively. MS was dichotomized into favorable/unfavorable based on median score. Patient outcomes were maintained prospectively. Binary outcomes were evaluated with logistic regression and continuous outcomes were evaluated with linear regression. RESULTS: From 10/2017-8/2019, 62 consecutive multiplex PN (median (range) # tumors = 4 (2-11), 65% robotic) were performed by a single surgeon. Median (range) MS was 6 (2-20). Of 13 complications, urine leak (N=5, 8%) and bleed requiring embolization (N=4, 6%) were the most common. Only 1 complication occurred in the favorable score group and MS was significantly associated with perioperative complication (OR 1.21, p=0.018) and blood loss (242.42 mL, p<0.001). Hilar clamping was omitted in 32 (52%) cases with median 18.5 min when used. Every 1 additional HR or IR tumor was associated with a 2 minute increase in clamp time (2.01, p=0.048). Median clamp time for favorable/unfavorable cases was 0 vs. 10 minutes. Change in renal function was negligible in our cohort (median ΔCr 0 mg/dL, IQR -0.61 – 0.1). There were no conversions from partial to radical nephrectomy and open conversion was only done in 3 (7.5%) cases, all assigned unfavorable MS. CONCLUSIONS: The novel Multiplex Score associated well with complications, blood loss, and open conversion. This tool may facilitate standardized reporting of complexity for multiplex series, with special relevance for hereditary cancer syndromes. Source of Funding: This project has been funded with federal funds from the National Cancer Institute, National Institutes of Health © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e66-e66 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Heather Chalfin* More articles by this author Nitin Yerram More articles by this author Sandeep Gurram More articles by this author W. Marston Linehan More articles by this author Mark Ball More articles by this author Expand All Advertisement PDF downloadLoading ...
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1097/ju.0000000000000822.01
- https://www.auajournals.org/doi/pdf/10.1097/JU.0000000000000822.01
- OA Status
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W3021678038Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1097/ju.0000000000000822.01Digital Object Identifier
- Title
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PD02-01 A NOVEL MULTIPLEX SCORE TO PREDICT OUTCOMES OF PARTIAL NEPHRECTOMY FOR MULTIPLE TUMORSWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-04-01Full publication date if available
- Authors
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Heather J. Chalfin, Nitin Yerram, Sandeep Gurram, W. Marston Linehan, Mark W. BallList of authors in order
- Landing page
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https://doi.org/10.1097/ju.0000000000000822.01Publisher landing page
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bronzeOpen access status per OpenAlex
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https://www.auajournals.org/doi/pdf/10.1097/JU.0000000000000822.01Direct OA link when available
- Concepts
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Medicine, Nephrectomy, Logistic regression, Multiplex, Surgery, Internal medicine, Oncology, Bioinformatics, Kidney, BiologyTop concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.21.9% | 200 |
| abstract_inverted_index.6.4%, | 197 |
| abstract_inverted_index.Every | 322 |
| abstract_inverted_index.Here, | 141 |
| abstract_inverted_index.Hilar | 308 |
| abstract_inverted_index.III-V | 193 |
| abstract_inverted_index.NOVEL | 14 |
| abstract_inverted_index.Nitin | 28, 47, 481 |
| abstract_inverted_index.RENAL | 101 |
| abstract_inverted_index.SCORE | 16 |
| abstract_inverted_index.Score | 396 |
| abstract_inverted_index.There | 369 |
| abstract_inverted_index.based | 189, 213 |
| abstract_inverted_index.bleed | 273 |
| abstract_inverted_index.blood | 303, 401 |
| abstract_inverted_index.cases | 123, 315, 346 |
| abstract_inverted_index.clamp | 337, 342 |
| abstract_inverted_index.drive | 138 |
| abstract_inverted_index.funds | 434 |
| abstract_inverted_index.group | 290 |
| abstract_inverted_index.loss, | 402 |
| abstract_inverted_index.novel | 145, 394 |
| abstract_inverted_index.rates | 195 |
| abstract_inverted_index.renal | 110, 354 |
| abstract_inverted_index.score | 103, 173, 289 |
| abstract_inverted_index.tumor | 328 |
| abstract_inverted_index.urine | 268 |
| abstract_inverted_index.used. | 321 |
| abstract_inverted_index.which | 136 |
| abstract_inverted_index.(2.01, | 339 |
| abstract_inverted_index.(7.5%) | 386 |
| abstract_inverted_index.11.1%, | 198 |
| abstract_inverted_index.4April | 457 |
| abstract_inverted_index.Author | 87 |
| abstract_inverted_index.Binary | 222 |
| abstract_inverted_index.Cancer | 438 |
| abstract_inverted_index.Change | 352 |
| abstract_inverted_index.Expand | 510 |
| abstract_inverted_index.Gurram | 58, 489 |
| abstract_inverted_index.Health | 443 |
| abstract_inverted_index.Median | 259, 341 |
| abstract_inverted_index.Score, | 149 |
| abstract_inverted_index.Source | 424 |
| abstract_inverted_index.TUMORS | 25 |
| abstract_inverted_index.Volume | 454 |
| abstract_inverted_index.Yerram | 49, 482 |
| abstract_inverted_index.author | 45, 54, 63, 74, 84, 480, 487, 494, 502, 509 |
| abstract_inverted_index.cancer | 131, 422 |
| abstract_inverted_index.cases, | 387 |
| abstract_inverted_index.cohort | 360 |
| abstract_inverted_index.funded | 431 |
| abstract_inverted_index.inform | 114 |
| abstract_inverted_index.linear | 235 |
| abstract_inverted_index.median | 215, 317 |
| abstract_inverted_index.mg/dL, | 364 |
| abstract_inverted_index.minute | 334 |
| abstract_inverted_index.priori | 169 |
| abstract_inverted_index.score. | 216 |
| abstract_inverted_index.single | 257 |
| abstract_inverted_index.tumors | 247 |
| abstract_inverted_index.widely | 106 |
| abstract_inverted_index.(2-11), | 250 |
| abstract_inverted_index.(2-20). | 264 |
| abstract_inverted_index.(242.42 | 305 |
| abstract_inverted_index.(PD02)1 | 10 |
| abstract_inverted_index.(median | 244, 361 |
| abstract_inverted_index.(range) | 245, 260 |
| abstract_inverted_index.Cancer: | 5 |
| abstract_inverted_index.Gurram, | 31 |
| abstract_inverted_index.Heather | 26, 38, 474 |
| abstract_inverted_index.Linehan | 69, 497 |
| abstract_inverted_index.Marston | 33, 66, 68, 496 |
| abstract_inverted_index.PARTIAL | 21 |
| abstract_inverted_index.PREDICT | 18 |
| abstract_inverted_index.Patient | 217 |
| abstract_inverted_index.Sandeep | 30, 56, 488 |
| abstract_inverted_index.Therapy | 8 |
| abstract_inverted_index.Yerram, | 29 |
| abstract_inverted_index.common. | 281 |
| abstract_inverted_index.defined | 167 |
| abstract_inverted_index.derived | 151 |
| abstract_inverted_index.e66-e66 | 459 |
| abstract_inverted_index.federal | 433 |
| abstract_inverted_index.lesions | 126 |
| abstract_inverted_index.omitted | 311 |
| abstract_inverted_index.partial | 118, 374 |
| abstract_inverted_index.patient | 115 |
| abstract_inverted_index.project | 428 |
| abstract_inverted_index.radical | 376 |
| abstract_inverted_index.scoring | 146 |
| abstract_inverted_index.series, | 416 |
| abstract_inverted_index.special | 418 |
| abstract_inverted_index.unknown | 135 |
| abstract_inverted_index.203Issue | 455 |
| abstract_inverted_index.Abstract | 96 |
| abstract_inverted_index.American | 447, 466 |
| abstract_inverted_index.BallMark | 78 |
| abstract_inverted_index.Chalfin* | 40, 475 |
| abstract_inverted_index.Funding: | 426 |
| abstract_inverted_index.However, | 121 |
| abstract_inverted_index.Linehan, | 34 |
| abstract_inverted_index.METHODS: | 163 |
| abstract_inverted_index.MULTIPLE | 24 |
| abstract_inverted_index.National | 437, 440 |
| abstract_inverted_index.OUTCOMES | 19 |
| abstract_inverted_index.RESULTS: | 237 |
| abstract_inverted_index.Surgical | 7 |
| abstract_inverted_index.ToolsAdd | 89 |
| abstract_inverted_index.articles | 42, 51, 60, 71, 81, 477, 484, 491, 499, 506 |
| abstract_inverted_index.assessed | 155 |
| abstract_inverted_index.assigned | 389 |
| abstract_inverted_index.clamping | 309 |
| abstract_inverted_index.describe | 109 |
| abstract_inverted_index.employed | 143 |
| abstract_inverted_index.equation | 147 |
| abstract_inverted_index.features | 137 |
| abstract_inverted_index.function | 355 |
| abstract_inverted_index.increase | 335 |
| abstract_inverted_index.lesions) | 178 |
| abstract_inverted_index.logistic | 227 |
| abstract_inverted_index.minutes. | 351 |
| abstract_inverted_index.multiple | 125 |
| abstract_inverted_index.occurred | 285 |
| abstract_inverted_index.outcomes | 156, 218, 223, 231 |
| abstract_inverted_index.p=0.018) | 301 |
| abstract_inverted_index.robotic) | 252 |
| abstract_inverted_index.surgeon. | 258 |
| abstract_inverted_index.weighted | 172 |
| abstract_inverted_index.(commonly | 127 |
| abstract_inverted_index.2020Page: | 458 |
| abstract_inverted_index.Chalfin*, | 27 |
| abstract_inverted_index.Copyright | 461 |
| abstract_inverted_index.Education | 450, 469 |
| abstract_inverted_index.LinehanW. | 67 |
| abstract_inverted_index.MULTIPLEX | 15 |
| abstract_inverted_index.Multiplex | 395 |
| abstract_inverted_index.Research, | 452, 471 |
| abstract_inverted_index.evaluated | 225, 233 |
| abstract_inverted_index.favorable | 288 |
| abstract_inverted_index.multiplex | 158, 242, 415 |
| abstract_inverted_index.p<0.001). | 307 |
| abstract_inverted_index.p=0.048). | 340 |
| abstract_inverted_index.performed | 254 |
| abstract_inverted_index.published | 191 |
| abstract_inverted_index.relevance | 419 |
| abstract_inverted_index.reporting | 411 |
| abstract_inverted_index.requiring | 274 |
| abstract_inverted_index.(Multiplex | 148 |
| abstract_inverted_index.Institute, | 439 |
| abstract_inverted_index.Institutes | 441 |
| abstract_inverted_index.Localized: | 6 |
| abstract_inverted_index.OBJECTIVE: | 99 |
| abstract_inverted_index.Supplement | 456 |
| abstract_inverted_index.Urological | 448, 467 |
| abstract_inverted_index.additional | 324 |
| abstract_inverted_index.associated | 295, 330, 397 |
| abstract_inverted_index.complexity | 112, 413 |
| abstract_inverted_index.continuous | 230 |
| abstract_inverted_index.conversion | 380 |
| abstract_inverted_index.counseling | 116 |
| abstract_inverted_index.facilitate | 409 |
| abstract_inverted_index.hereditary | 130, 421 |
| abstract_inverted_index.maintained | 220 |
| abstract_inverted_index.negligible | 357 |
| abstract_inverted_index.regression | 228 |
| abstract_inverted_index.syndromes) | 132 |
| abstract_inverted_index.syndromes. | 423 |
| abstract_inverted_index.2020PD02-01 | 12 |
| abstract_inverted_index.Association | 449, 468 |
| abstract_inverted_index.Information | 473 |
| abstract_inverted_index.NEPHRECTOMY | 22 |
| abstract_inverted_index.YerramNitin | 48 |
| abstract_inverted_index.consecutive | 241 |
| abstract_inverted_index.conversion. | 405 |
| abstract_inverted_index.conversions | 372 |
| abstract_inverted_index.nephrectomy | 119, 377 |
| abstract_inverted_index.nephrometry | 102 |
| abstract_inverted_index.regression. | 236 |
| abstract_inverted_index.unfavorable | 390 |
| abstract_inverted_index.CONCLUSIONS: | 392 |
| abstract_inverted_index.INTRODUCTION | 97 |
| abstract_inverted_index.complication | 194, 284, 298 |
| abstract_inverted_index.dichotomized | 210 |
| abstract_inverted_index.embolization | 275 |
| abstract_inverted_index.institution. | 162 |
| abstract_inverted_index.intermediate | 181 |
| abstract_inverted_index.standardized | 410 |
| abstract_inverted_index.Advertisement | 460, 512 |
| abstract_inverted_index.Clavien-Dindo | 192 |
| abstract_inverted_index.GurramSandeep | 57 |
| abstract_inverted_index.Permissions© | 463 |
| abstract_inverted_index.UrologyKidney | 4 |
| abstract_inverted_index.accessJournal | 2 |
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| abstract_inverted_index.postoperative | 139 |
| abstract_inverted_index.respectively. | 207 |
| abstract_inverted_index.significantly | 294 |
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| abstract_inverted_index.InTwitterEmail | 95 |
| abstract_inverted_index.complications, | 267, 400 |
| abstract_inverted_index.complications. | 140 |
| abstract_inverted_index.prospectively. | 221 |
| abstract_inverted_index.10/2017-8/2019, | 239 |
| abstract_inverted_index.Chalfin*Heather | 39 |
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| abstract_inverted_index.Inc.MetricsAuthor | 472 |
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| abstract_inverted_index.favorable/unfavorable | 212, 345 |
| abstract_inverted_index.CitationsPermissionsReprints | 93 |
| abstract_inverted_index.Inc.FiguresReferencesRelatedDetails | 453 |
| abstract_inverted_index.Informationhttps://doi.org/10.1097/JU.0000000000000822.01AboutPDF | 88 |
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