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Urinary Retention following Colorectal Surgery
Hoppe, Ethan J., Main, William P.L., Hussain, Lala R., Dunki-Jacobs, Erik M., Saba, Alex K., Kelley, Scott R. , Saba, Alexander K.

The American Surgeon™ | June 17, 2020 | Volume: 83 | Issue: 1 | Pages: 3-7

10.1177/000313481708300103 Get It

Literature on postoperative urinary retention (POUR) after colorectal resections is limited. The aim of our study was to evaluate the incidence of and risk factors for POUR after elective colorectal resections in men ≥55 years without genitourinary issues. A retrospective review of elective colorectal resections (June 1, 2014 to June 1, 2015) in men ≥55 years without genitourinary conditions was performed at our institution. Patient demographics, American Society of Anesthesiologist score, body mass index (BMI), surgical history, type of disease, extent of resection, surgical approach, operating room (OR) time, volume of OR fluids administered, and intra- and postoperative urine output were included for analysis. Seventy patients were identified. Nine (12.9%) experienced POUR. Patients with POUR experienced longer OR time (324 vs 239 minutes; P = 0.048) and had a lower median BMI (23.8 vs 28 kg/m 2 ; P = 0.038). There were no significant differences in regards to age, comorbidities, diagnosis, type of resection, surgical approach, intravenous fluids administered operatively, or postoperative urine output. The incidence of POUR in male patients at least 55 years of age after elective colorectal resection in our institution was 12.9 per cent. Longer operative time and lower BMI were associated with a higher incidence of POUR.
Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia
Tang, Hongwei, Jiang, Lai , Arslan, Alan A. , Bracci, Paige M. , Brennan, Paul , Canzian, Federico , Du, Mengmeng , Gallinger, Steven , Goodman, Phyllis J. , Visvanathan, Kala , Andreotti, Gabriella , Babić, Ana , Berndt, Sonja I. , Bueno‐de‐Mesquita, Bas , Buring, Julie E. , Campa, Daniele , Childs, Erica J., Fuchs, Charles S. , Gaziano, J. Michael , Hartge, Patricia, Hassam, Manal H., Holly, Elizabeth A. , Hoover, Robert N. , Hung, Rayjean J. , Kurtz, Robert C. , Lee, I-Min, Ng, Kimmie , Oberg, Ann L. , Peters, Ulrike , Porta, Miquel , Rabe, Kari G. , Rothman, Nathaniel , Scélo, Ghislaine , Sesso, Howard D. , Thompson, Ian M. , Tjønneland, Anne , Trichopoulou, Antonia , Wactawski‐Wende, Jean , Wentzensen, Nicolas , Zeleniuch‐Jacquotte, Anne , Jacobs, Eric J. , Petersen, Gloria M. , Wolpin, Brian M. , Chatterjee, Nilanjan , Li, Donghui , Arslan, Alan A , Brennan, Paul , Canzian, Federico , Bamlet, William R , Blackford, Amanda , Duell, Eric J , Hung, Rayjean J , Malats, Nuria , Milne, Roger L , Oberg, Ann L , Orlow, Irene , Sesso, Howard D , Tjønneland, Anne , Wactawski-Wende, Jean , Yu, Herbert , Amundadottir, Laufey , Klein, Alison P , Li, Donghui , Chaffee, Kari G. , Visvanathan, Kala , Porta, Miquel , Thompson, Ian M , Zeleniuch-Jacquotte, Anne , Stolzenberg‐Solomon, Rachael Z. , Freeman, Laura E. Beane , Giles, Graham G. , Kooperberg, Charles , Marchand, Loı̈c Le , Neale, Rachel Ε. , Shu, Xiao‐Ou , White, Emily , Zheng, Wei , Albanes, Demetrius , Bamlet, William R. , Chanock, Stephen Jacob , Duell, Eric J. , Goggins, Michael , Malats, Núria , Milne, Roger L. , Orlow, Irene , Rothman, Nathaniel , Silverman, Debra T. , Wilkens, Lynne R. , Yu, Kai , Ámundadóttir, Laufey T. , Risch, Harvey A. , Klein, Alison P. , Kraft, Peter , Wei, Peng

Cancer Epidemiology, Biomarkers & Prevention | June 16, 2020 | Volume: 29 | Issue: 9 | Pages: 1784-1791

10.1158/1055-9965.epi-20-0275 | PMID 32546605 Get It

Abstract Background: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level. Methods: We conducted a gene–environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I–III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index ≥30 kg/m2) and diabetes (duration ≥3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency ≥0.005, genotyped in at least one dataset) were analyzed. Case–control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics. Results: No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P < 1.25 × 10−6) was observed in the meta-analysis (PGxE = 1.2 ×10−6, PJoint = 4.2 ×10−7). Conclusions: This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans. Impact: This study may contribute to discovering the mechanism of diabetes-associated pancreatic cancer.
Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas
Boxerman, Jerrold L. , Quarles, C. Chad , Hu, Leland , Gerstner, Elizabeth R. , Smits, Marion , Barboriak, Daniel P. , Huang, Raymond, Wick, Wolfgang , Weller, Michael , Kalpathy–Cramer, Jayashree , Shankar, Lalitha , Jacobs, Paula , Chung, Caroline , Bent, Martin J. van den , Chang, Susan M. , Yung, Wai Kuen, Wen, Patrick Y. , Rosen, Bruce R. , Arons, David F., Kingston, Ann E, Sandak, David, Wallace, M. Z., Musella, Al , Haynes, Chas, Weller, Michael , van den Bent, Martin J , Boxerman, Jerrold L , Wick, Wolfgang , Smits, Marion , Barboriak, Daniel P , Erickson, Bradley J. , Kaufmann, Timothy J. , Galanis, Evanthia , Chang, Susan Marina , Yung, W K Al, Cloughesy, Timothy F. , Wen, Patrick Yung , Gilbert, Mark R. , Ellingson, Benjamin M. , Schmainda, Kathleen M

Neuro-Oncology | June 3, 2020 | Volume: 22 | Issue: 9 | Pages: 1262-1275

10.1093/neuonc/noaa141 | PMID 32516388 Get It

Abstract Despite the widespread clinical use of dynamic susceptibility contrast (DSC) MRI, DSC-MRI methodology has not been standardized, hindering its utilization for response assessment in multicenter trials. Recently, the DSC-MRI Standardization Subcommittee of the Jumpstarting Brain Tumor Drug Development Coalition issued an updated consensus DSC-MRI protocol compatible with the standardized brain tumor imaging protocol (BTIP) for high-grade gliomas that is increasingly used in the clinical setting and is the default MRI protocol for the National Clinical Trials Network. After reviewing the basis for controversy over DSC-MRI protocols, this paper provides evidence-based best practices for clinical DSC-MRI as determined by the Committee, including pulse sequence (gradient echo vs spin echo), BTIP-compliant contrast agent dosing (preload and bolus), flip angle (FA), echo time (TE), and post-processing leakage correction. In summary, full-dose preload, full-dose bolus dosing using intermediate (60°) FA and field strength-dependent TE (40–50 ms at 1.5 T, 20–35 ms at 3 T) provides overall best accuracy and precision for cerebral blood volume estimates. When single-dose contrast agent usage is desired, no-preload, full-dose bolus dosing using low FA (30°) and field strength-dependent TE provides excellent performance, with reduced contrast agent usage and elimination of potential systematic errors introduced by variations in preload dose and incubation time.
Factors Associated With Large Improvements in Health-Related Quality of Life in Patients With Atrial Fibrillation
Holmes, DaJuanicia N. , Pieper, Karen S. , Ezekowitz, Michael D. , Fonarow, Gregg C. , Gersh, Bernard J. , Kowey, Peter R. , Mahaffey, Kenneth W. , Reiffel, James A. , Singer, Daniel E. , Piccini, Jonathan P. , Mendelson, R. A., NEUTEL, J, Pan, Dengji, Poock, James J., Raffetto, J.D., Greengold, R., Roan, P G, Saba, F., Sackett, Melanie K., Schneider, R., Seymour, Zachary , Shanes, Jeffrey G., Smiley, Nasser, Smith, David H. , Snipes, C., Sotolongo, Rodolfo, Staniloae, Cezar , Stoltz, S., Suresh, D.P. , Tak, Tahir , Tannenbaum, A., Turk, Samir, Vora, Kishor, Randhawa, P., Zebrack, James S., Silva, Eduardo , Riley, Edward T., Weinstein, D., Vasiliauskas, Tomas, Goldbarg, Seth , Yarlagadda, Chakri, Laurion, D., Osunkoya, A., Burns, Richéal , Castor, Tatsiana , Luttman, C., Anton, Stephen D. , McGarvey, Jeremy R., Guthrie, Robert D., Deriso, George T., Flood, Raymond, Fleischer, L H, Fierstein, J.S., Jacobs, George B., Adjei, Nasser, Akyea-Djamson, Ayim, Bacon, Jenny , Bedwell, Noel W., Berger, PB, Berry, Joni I., Bhagwat, Ravi, Boccalandro, Fernando , Capó, Jaïr Dilmé, Kapadia, Sumit, Casanova, Rene, Morriss, J.E., Elsen, J., Farsad, Ramin, Fox, David J. , Frandsen, Brad, Gelernt, M., Hall, Cassandra L. , Hotchkiss, David R. , Ip, J., Jaffrani, Naseem, Kazmierski, John F., Waxman, F., Kneller, G. Larsen, Labroo, Ajay, Jaffe, Bernard M., Lebenthal, Mark, Lillestol, Michael, Leclerc, Kenneth M. , Maccaro, Paul, Mayer, Nolan, Kozłowski, J , Benjamin, Sanford P., Detweiler, Robert, Igic, Petar, Jackson, Tatum, Pappas, Janine, Littlefield, Ryan , Frey, Anna , Vranian, Robert B., Long, W., Grena, Paul, Arouni, Amy , Quinn, John , Blonder, Ronald, Snyder, H., Slabic, S., Cohen, Kenneth D., Walthall, W. W., Snoddy, Brian, Alvarado, Olga Franco, Leach, Corinne L., Rothman, Steven A., Olatidoye, Abiodun G, Almahameed, Soufian , Rosenthal, Shelly, Reiter, William M., Thompson, T., Thew, Stephen, Kobayashi, Junji , Williams, M., Kramer, Joel H. , Latif, Sidrah , Rhee, B., Ruiz-Serrano, D., Stringam, Stanley, Wolok, K., Focil, Augusto, Butman, Samuel, Ingersoll, Henry, Borge, R. P., Al-Saghir, Y., Farris, Neil, Shore, Karen, Gornick, C., Eilat, P., Paliwal, Y., Mitra, Rito , Jingo, Ahmad, Aslam, Asma , Watson, Robert, Voyce, Stephen , Turakhia, Mintu P. , Goytia-Leos, D., Lurie, Miriam, Mallis, G., Strobel, John, Fisher, D M, Atieh, Mutaz I., Drabick, Andrew, Harman, Ece, Ashcraft, B., Krista, M., Videlefsky, A., Zayas, E. Rivera, Tan, A.E., Gersh, Bernard J , Turakhia, Mintu P , Steinberg, Benjamin A. , Allen, Larry A. , Chan, Paul S. , Freeman, James V. , Hylek, Elaine M. , Naccarelli, Gerald V. , Peterson, Eric D. , Mendelson, R., AL-NAHHAS, ADIL M. , Padanilam, B., Pan, D., Raffetto, J., Roan, P., Sackett, M., Seymour, Z., Shoemaker, J. Kevin , Simms, V., Tak, T., Riley, E., Weinstein, D., Hayward, D., Burns, R., Spiller, D., McGarvey, J., Guthrie, R., Flood, R., Aggarwal, R., Jacobs, G., Alfieri, A., Bacon, J., Berger, P., Berry, J., Bloom, S., Kapadia, S., Casanova, R., Christensen, T., Fox, D., Gill, S., Grubb, Søren , Hall, C., Harris, H., Hotchkiss, D., Jones, A., Lee, David S. , Kozlowski, J., Benjamin, S., Detweiler, R., Jackson, T., Littlefield, R., Long, W., Quinn, J., Browne, Kevin D. , Forman, Steven L. , Ebinger, Martin , Williams, David Michael , Stein, R., Kirkland, S., Cohen, K., Walthall, W., Davis, Keith L. , Alvarado, O., Leach, C., Sharma, Anand , Sutter, G., Reiter, W., Kobayashi, J., Kramer, J., Latif, S.A., Adler, Alma J , Butman, Samuel M. , Coats, Paul , Shore, K., Schwartz, M.B., Quinlan, E., Mitra, R., Aslam, A.A., Lurie, M., Atwater, Brett D. , Murray, John M. , Fisher, D., Landes, Reid D. , Harman, E., Zayas, E. Rivera

Circulation: Arrhythmia and Electrophysiology | April 16, 2020 | Volume: 13 | Issue: 5 | Pages: No page available

10.1161/circep.119.007775 | PMID 32298144 Get It

Background: Atrial fibrillation (AF) adversely impacts health-related quality of life (hrQoL). While some patients demonstrate improvements in hrQoL, the factors associated with large improvements in hrQoL are not well described. Methods: We assessed factors associated with a 1-year increase in the Atrial Fibrillation Effect on Quality-of-Life score of 1 SD (≥18 points; 3× clinically important difference), among outpatients in the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation I registry. Results: Overall, 28% (181/636) of patients had such a hrQoL improvement. Compared with patients not showing large hrQoL improvement, they were of similar age (median 73 versus 74, P =0.3), equally likely to be female (44% versus 48%, P =0.3), but more likely to have newly diagnosed AF at baseline (18% versus 8%; P =0.0004), prior antiarrhythmic drug use (52% versus 40%, P =0.005), baseline antiarrhythmic drug use (34.8% versus 26.8%, P =0.045), and more likely to undergo AF-related procedures during follow-up (AF ablation: 6.6% versus 2.0%, P =0.003; cardioversion: 12.2% versus 5.9%, P =0.008). In multivariable analysis, a history of alcohol abuse (adjusted OR, 2.41; P =0.01) and increased baseline diastolic blood pressure (adjusted OR, 1.23 per 10-point increase and >65 mm Hg; P =0.04) were associated with large improvements in hrQoL at 1 year, whereas patients with prior stroke/transient ischemic attack, chronic obstructive pulmonary disease, and peripheral arterial disease were less likely to improve ( P <0.05 for each). Conclusions: In this national registry of patients with AF, potentially treatable AF risk factors are associated with large hrQoL improvement, whereas less reversible conditions appeared negatively associated with hrQoL improvement. Understanding which patients are most likely to have large hrQoL improvement may facilitate targeting interventions for high-value care that optimizes patient-reported outcomes in AF. Registration: URL: http://www.clinicaltrials.gov . Unique identifier: NCT01165710.
Prognostic impact of the 21-gene recurrence score in patients presenting with stage IV breast cancer.
King, Tari A. , Lyman, Jaclyn P. , Gönen, Mithat , Voci, Amy, Brot, Marina De , Boafa, Camilla, Sing, Amy P., Hwang, Eun-Sil Shelley, Alvarado, Michael , Liu, Minetta C. , McGuire, Kandace P. , Poznak, Catherine Van , Jacobs, Lisa K. , Meszoely, Ingrid M. , Babiera, Gildy V., Morrow, Monica , Hudis, Clifford A. , Boughey, Judy C. , Krontiras, Helen , Norton, Larry

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: 507-507

10.1200/jco.2013.31.15_suppl.507 Get It

507 Background: The 21-gene Recurrence Score (OncotypeDX Breast Cancer Assay) predicts outcome and benefit from chemotherapy (CT) in early stage ER+ BC treated with adjuvant endocrine therapy. We evaluated the association between Recurrence Score (RS), time to progression (TTP), and overall survival (OS) in patients with stage IV BC enrolled in TBCRC 013. Methods: TBCRC 013 is a registry study evaluating surgery of the primary tumor in pts presenting with Stage IV BC. From 7/09 - 4/12, 128 evaluable pts were enrolled in two cohorts (A: metastases (mets) with intact primary tumor (n=112); B: mets within 3 months of primary surgery (n=16)). This study includes 110 pts with pre-treatment primary tumor samples available for analysis. Clinical variables, TTP and OS were correlated with RS using long-rank, Kaplan-Meier and Cox regression. Results: Median pt age was 52yrs (21-79) and median tumor size 3.1cm (0.7-15). 82 (80%) were ER+, 83 (81%) Her2(-) and 51 (46%) had bone-only mets. Cohorts A and B did not differ. At a median follow-up of 26 mos (1-47), median TTP is 19 mos (95%CI16-25) and surgery is not associated with OS. 102 samples qualified for RS. 23 (23%) had low RS<18, 29 (28%) intermediate RS, 18-30; and 50 (49%) high RS≥31. Age, tumor size or site of 1stmets was not associated with RS. Risk groups were prognostic for TTP in ER+ pts and for 2 yr OS in ER+Her2- pts (Table). In Cox models continuous RS was also prognostic for TTP in ER+ pts (HR 3.5; for 50 point difference (PD) 95%CI 1.5-8.1, p=0.003) and for OS in ER+Her2- pts (HR 21.4, for 50 PD 95%CI 2.2-204.4, p=0.008). In MVA, adjusting for clinical variables, RS remained prognostic for TTP in ER+ pts (p=0.01). Further analysis of surgery in this trial is ongoing. Conclusions: The 21-gene RS is independently prognostic for TTP in ER+ Stage IV BC. RS is also prognostic for OS in ER+Her2- BC, suggesting that a high RS may be a surrogate for endocrine resistance and could be used to select pts with ER+ Stage IV BC for CT. A randomized trial to address this hypothesis is warranted. Clinical trial information: NCT00941759. [Table: see text]
Preemptive versus reactive topical clobetasol for regorafenib-induced hand-foot reactions: Results from the ReDOS trial.
Jatoi, Aminah , Ahn, Daniel H. , Ciombor, Kristen K. , Jacobs, Nisha L. , Pasche, Boris , Cleary, James M. , Chiorean, E. Gabriela , Heying, Erica N., Lenz, Heinz‐Josef , Sloan, Jeff A. , Ou, Fang‐Shu , Boland, Patrick M. , McCune, Jeannine S. , Pedersen, Katrina S. , Barzi, Afsaneh , Lacouture, Mario E. , Grothey, Axel , Bekaii‐Saab, Tanios

Journal of Clinical Oncology | March 6, 2020 | Volume: 37 | Issue: 15_suppl | Pages: 11586-11586

10.1200/jco.2019.37.15_suppl.11586 Get It

11586 Background: Hand-foot skin reaction (HFSR) is the most common regorafenib adverse event. However, no intervention has demonstrated efficacy in preventing or palliating this adverse event, short of modulating the regorafenib dose. Methods: The Regorafenib Dose Optimization Study (ReDOS) was a randomized trial ( https://clinicaltrials.gov/ct2/show/NCT02368886 ); here we describe an a priori secondary analysis of ReDOS with the goal of assessing whether clobetasol 0.05% cream (a potent corticosteroid) applied to the palms and soles twice per day is more effective when prescribed pre-emptively (before the development of HFSR) versus reactively (after the development of HFSR). Patients were assessed during the 1st 2 cycles of regorafenib. Results: Among 116 evaluable patients, 61 received pre-emptive clobetasol, and 55 reactive clobetasol. Baseline demographics were comparable between groups. During the 1st regorafenib cycle, 46% and 52% of patients developed HFSR with pre-emptive and reactive clobetasol, respectively (p = 0.52). However, during the 2nd cycle, 56% (of 47 total patients) and 80% (of 41 total patients), developed this toxicity with pre-emptive and reactive clobetasol, respectively (p = 0.02). Of note, during the 2nd cycle, rates of grade 1,2, and 3 HFSR were 40%, 11%, and 4% (pre-emptive) and 45%, 25%, and 10% (reactive) (p = 0.07). A sensitivity analysis to examine rates of no HFSR over all 2 regorafenib cycles showed that no HFSR occurred in 33% (of 61 total patients) with pre-emptive clobetasol versus 15% (of 55 total patients) with reactive clobetasol (p = 0.02). Patient-reported outcomes showed HFSR compromised activities of daily living, including getting dressed, preparing meals, walking, and even driving, with seemingly worse descriptive outcomes in patients who received reactive therapy. No adverse events from clobetasol were reported. Conclusions: Compared to reactive therapy, pre-emptive topical clobetasol might lessen regorafenib-induced HFSR. Clinical trial information: NCT02368886.
ARGONAUT II Study of the In Vitro Activity of Plazomicin against Carbapenemase-Producing Klebsiella pneumoniae
Good, Caryn E., Hujer, Andrea M. , Abdelhamed, Ayman M., Rhoads, Daniel D. , Hujer, Kristine M., Rudin, Susan D., Connolly, Lynn, Krause, Kevin M. , Patel, Robin , Arias, César A. , Kreiswirth, Barry N. , Rojas, Laura J. , D’Souza, Roshan , White, Richard C. , Brinkac, Lauren , Nguyen, Kevin , Singh, Indresh , Fouts, Derrick E. , Group, for the Antibacterial Resistance Leadership, Patel, Robin , Fouts, Derrick E , van Duin, David , Rhoads, Daniel D , Jacobs, Michael R. , Domitrovic, Tatiana , Arias, César A. , Kreiswirth, Barry N , Bonomo, Robert A. , Group, for the Antibacterial Resistance Leadership

Antimicrobial Agents and Chemotherapy | March 5, 2020 | Volume: 64 | Issue: 5 | Pages: No page available

10.1128/aac.00012-20 | PMID 32152078 Get It

Plazomicin was tested against 697 recently acquired carbapenem-resistant Klebsiella pneumoniae isolates from the Great Lakes region of the United States. Plazomicin MIC 50 and MIC 90 values were 0.25 and 1 mg/liter, respectively; 680 isolates (97.6%) were susceptible (MICs of ≤2 mg/liter), 9 (1.3%) intermediate (MICs of 4 mg/liter), and 8 (1.1%) resistant (MICs of >32 mg/liter). Resistance was associated with rmtF -, rmtB -, or armA -encoded 16S rRNA methyltransferases in all except 1 isolate.
Abstract P426: Cumulative 30-year Alcohol Use From Young Adulthood and Mid-life Cognitive Function: The Coronary Artery Risk Development in Young Adults (CARDIA) Study
Sidney, Stephen , Gilsanz, Paola , Rana, Jamal S. , Reis, Jared P. , Roger, Véronique L. , Yaffe, Kristine , Jakob, Julian , Lee, Catherine , Jacobs, David R. , Pletcher, Mark J. , Auer, Reto

Circulation | March 2, 2020 | Volume: 141 | Issue: Suppl_1 | Pages: No page available

10.1161/circ.141.suppl_1.p426 Get It

Introduction: Alcohol use is common in the United States. Most studies describe a J-shaped relationship between alcohol consumption and cognitive function: frequent heavy consumption alters brain functions and decreases cognitive performance; regular light and moderate consumption may have protective impact. We are unaware of any reports utilizing longitudinally collected data to derive a cumulative exposure of alcohol use and assess its association with cognitive function. Hypothesis: Cumulative 30-year exposure to alcohol has a J-shaped association with mid-life cognitive function. Methods: We included 3,068 participants aged 18-30 years at the baseline examination (1985-86) and having up to 8 follow-up exams at 2- to 5-year intervals including at 30 years (2015-16). Cumulative “drink-years” exposure to alcohol was estimated at each exam by multiplying the usual number of drinks/day reported by the number of years since last exam, and then summing across exams. We used multivariable adjusted linear regression models to assess the independent associations of number of drink-years with 6 measures of cognitive function studied at Year 30: Rey Auditory Verbal Learning Test (RAVLT), Digit Symbol Substitution Test (DSST), Stroop Test, Montreal Cognitive Assessment (MoCA), Category Fluency Test, and Letter Fluency Test. We used inverse probability of censoring weighting to account for potential informative censoring. Linear regression models estimated standardized mean test scores for the cumulative alcohol use categories (drink-years: >0 and <15, 15-29.9, 30+). Too few participants were available for assessment of higher categories of use. Results: Compared with never drinking, the 3 categories of cumulative exposure were unassociated with any of the cognitive function measures. Conclusions: Cumulative 30-year alcohol use is not associated with cognitive function in middle-aged adults in the CARDIA study.
Ovarian and Breast Cancer Risks Associated With Pathogenic Variants in RAD51C and RAD51D
Yang, Xin , Song, Honglin , Leslie, Goska , Engel, Christoph , Hahnen, Eric , Auber, Bernd , Horváth, Judit , Kast, Karin , Niederacher, Dieter , Turnbull, Clare , Houlston, Richard S. , Hanson, Helen , Loveday, Chey , Dolinsky, Jill S. , LaDuca, Holly , Ramus, Susan J. , Menon, Usha , Rosenthal, Adam N. , Jacobs, Ian , Gayther, Simon A. , Dicks, Ed , Aittomäki, Kristiina, Ehrencrona, Hans , Borg, Åke , Kvist, Anders , Rivera, Bárbara , Hansen, Thomas van Overeem , Djursby, Malene , Lee, Andrew , Bowtell, David D.L. , Traficante, Nadia , Gruber, Stephen B., Chenevix‐Trench, Georgia , Investigators, kConFab, Castéra, Laurent , Janavičius, Ramūnas , Osório, Ana , Vega, Ana , Culver, Julie O. , Easton, Douglas F. , Meindl, Alfons , Schmutzler, Rita K., Antoniou, Antonis C. , Leslie, Goska , Ramus, Susan J , Menon, Usha , Houlston, Richard S , Vega, Ana , Auber, Bernd , Ehrencrona, Hans , Engel, Christoph , Hanson, Helen , Chenevix-Trench, Georgia , Traficante, Nadia , Bowtell, David D , Hansen, Thomas van Overeem , Nevanlinna, Heli , Pelttari, Liisa M. , Dennis, Joe , Dı́ez, Orland , Balmañà, Judith , Jensen, Allan , Kjær, Susanne K. , Høgdall, Estrid , Garber, Judy E. , Golmard, Lisa , Couch, Fergus J. , Robson, Mark E. , Gronwald, Jacek , Domchek, Susan M. , Hoya, Miguel de la , Foulkes, William D. , Tischkowitz, Marc D. , Meindl, Alfons , Pharoah, Paul D.P.

JNCI: Journal of the National Cancer Institute | February 25, 2020 | Volume: 112 | Issue: 12 | Pages: 1242-1250

10.1093/jnci/djaa030 | PMID 32107557 Get It

Abstract Background The purpose of this study was to estimate precise age-specific tubo-ovarian carcinoma (TOC) and breast cancer (BC) risks for carriers of pathogenic variants in RAD51C and RAD51D. Methods We analyzed data from 6178 families, 125 with pathogenic variants in RAD51C, and 6690 families, 60 with pathogenic variants in RAD51D. TOC and BC relative and cumulative risks were estimated using complex segregation analysis to model the cancer inheritance patterns in families while adjusting for the mode of ascertainment of each family. All statistical tests were two-sided. Results Pathogenic variants in both RAD51C and RAD51D were associated with TOC (RAD51C: relative risk [RR] = 7.55, 95% confidence interval [CI] = 5.60 to 10.19; P = 5 × 10-40; RAD51D: RR = 7.60, 95% CI = 5.61 to 10.30; P = 5 × 10-39) and BC (RAD51C: RR = 1.99, 95% CI = 1.39 to 2.85; P = 1.55 × 10-4; RAD51D: RR = 1.83, 95% CI = 1.24 to 2.72; P = .002). For both RAD51C and RAD51D, there was a suggestion that the TOC relative risks increased with age until around age 60 years and decreased thereafter. The estimated cumulative risks of developing TOC to age 80 years were 11% (95% CI = 6% to 21%) for RAD51C and 13% (95% CI = 7% to 23%) for RAD51D pathogenic variant carriers. The estimated cumulative risks of developing BC to 80 years were 21% (95% CI = 15% to 29%) for RAD51C and 20% (95% CI = 14% to 28%) for RAD51D pathogenic variant carriers. Both TOC and BC risks for RAD51C and RAD51D pathogenic variant carriers varied by cancer family history and could be as high as 32–36% for TOC, for carriers with two first-degree relatives diagnosed with TOC, or 44–46% for BC, for carriers with two first-degree relatives diagnosed with BC. Conclusions These estimates will facilitate the genetic counseling of RAD51C and RAD51D pathogenic variant carriers and justify the incorporation of RAD51C and RAD51D into cancer risk prediction models.