Posts Tagged ‘Machine Learning’
The Kidney Failure Risk Equation: Evaluation of Novel Input Variables including eGFR Estimated Using the CKD-EPI 2021 Equation in 59 Cohorts.
Link: https://doi.org/10.1681/ASN.0000000000000050 Authors: Grams, Morgan E; Brunskill, Nigel J; Ballew, Shoshana H; Sang, Yingying; Coresh, Josef; Matsushita, Kunihiro; Surapaneni, Aditya; Bell, Samira; Carrero, Juan J; Chodick, Gabriel; Evans, Marie; Heerspink, Hiddo J L; Inker, Lesley A; Iseki, Kunitoshi; Kalra, Philip A; Kirchner, H Lester; Lee, Brian J; Levin, Adeera; Major, Rupert W; Medcalf, James; Nadkarni,…
Read MoreMachine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts.
Link: https://doi.org/S0140-6736(22)02079-7 Authors: Forrest, Iain S; Petrazzini, Ben O; Duffy, Áine; Park, Joshua K; Marquez-Luna, Carla; Jordan, Daniel M; Rocheleau, Ghislain; Cho, Judy H; Rosenson, Robert S; Narula, Jagat; Nadkarni, Girish N; Do, Ron Abstract: Binary diagnosis of coronary artery disease does not preserve the complexity of disease or quantify its severity or its associated…
Read MoreMolecular states during acute COVID-19 reveal distinct etiologies of long-term sequelae.
Link: https://doi.org/10.1038/s41591-022-02107-4 Authors: Thompson, Ryan C; Simons, Nicole W; Wilkins, Lillian; Cheng, Esther; Del Valle, Diane Marie; Hoffman, Gabriel E; Cervia, Carlo; Fennessy, Brian; Mouskas, Konstantinos; Francoeur, Nancy J; Johnson, Jessica S; Lepow, Lauren; Le Berichel, Jessica; Chang, Christie; Beckmann, Aviva G; Wang, Ying-Chih; Nie, Kai; Zaki, Nicholas; Tuballes, Kevin; Barcessat, Vanessa; Cedillo, Mario A;…
Read MoreArtificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury.
Link: https://doi.org/S2949-8139(22)00001-5 Authors: Takkavatakarn, Kullaya; Hofer, Ira S Abstract: Acute kidney injury (AKI) is a common complication after a surgery, especially in cardiac and aortic procedures, and has a significant impact on morbidity and mortality. Early identification of high-risk patients and providing effective prevention and therapeutic approach are the main strategies for reducing the possibility…
Read MoreGeneralizability of an acute kidney injury prediction model across health systems.
Link: https://doi.org/10.1038/s42256-022-00563-8 Authors: Cao, Jie; Zhang, Xiaosong; Shahinian, Vahakn; Yin, Huiying; Steffick, Diane; Saran, Rajiv; Crowley, Susan; Mathis, Michael; Nadkarni, Girish N; Heung, Michael; Singh, Karandeep Abstract:
Read MoreUnplanned 30-Day Readmission Rates for Autosomal Dominant Polycystic Kidney Disease: Insight from the Nationwide Readmissions Database.
Link: https://doi.org/10.1159/000526923 Authors: Saha, Aparna; Ericksen, Paulette; Liriano Cepin, Cristina; Nadkarni, Girish N; Chan, Lili Abstract: Among end-stage kidney disease (ESKD) patients on dialysis with autosomal dominant polycystic kidney disease (ADPKD), relatively little is known about the epidemiology and risk factors for 30-day readmissions in the USA. Therefore, we evaluated the 30-day unplanned readmission rates…
Read MoreCriteria for Early Pacemaker Implantation in Patients With Postoperative Heart Block After Congenital Heart Surgery.
Link: https://doi.org/10.1161/CIRCEP.122.011145 Authors: Duong, Son Q; Shi, Yuan; Giacone, Heather; Navarre, Brittany M; Gal, Dana B; Han, Brian; Sganga, Danielle; Ma, Michael; Reddy, Charitha D; Shin, Andrew Y; Kwiatkowski, David M; Dubin, Anne M; Scheinker, David; Algaze, Claudia A Abstract: Guidelines recommend observation for atrioventricular node recovery until postoperative days (POD) 7 to 10 before…
Read MoreLaboratory Result Reference Ranges Stratified for Patient-Reported Sex and Ethnicity Are More Closely Associated With Postoperative Outcomes Than Currently Used Reference Ranges: A Retrospective Data Analysis.
Link: https://doi.org/10.1213/ANE.0000000000006229 Authors: Hofer, Ira S; Lee, Andrew; Grogan, Tristan; Lucero, Jennifer; Cannesson, Maxime Abstract: A single laboratory range for all individuals may fail to take into account underlying physiologic differences based on sex and genetic factors. We hypothesized that laboratory distributions differ based on self-reported sex and ethnicity and that ranges stratified by these…
Read MoreMendelian gene identification through mouse embryo viability screening.
Link: https://doi.org/10.1186/s13073-022-01118-7 Authors: Cacheiro, Pilar; Westerberg, Carl Henrik; Mager, Jesse; Dickinson, Mary E; Nutter, Lauryl M J; Muñoz-Fuentes, Violeta; Hsu, Chih-Wei; Van den Veyver, Ignatia B; Flenniken, Ann M; McKerlie, Colin; Murray, Stephen A; Teboul, Lydia; Heaney, Jason D; Lloyd, K C Kent; Lanoue, Louise; Braun, Robert E; White, Jacqueline K; Creighton, Amie K; Laurin,…
Read MoreSurvival After Out-of-Hospital Cardiac Arrest: The Role of Racial Residential Segregation.
Link: https://doi.org/10.1007/s11524-022-00691-x Authors: Abbott, Ethan E; Buckler, David G; Hsu, Jesse Y; Jacoby, Sara F; Abella, Benjamin S; Richardson, Lynne D; Carr, Brendan G; Zebrowski, Alexis M Abstract: Racial and racialized economic residential segregation has been empirically associated with outcomes across multiple health conditions but not yet explored in relation to out-of-hospital cardiac arrest (OHCA).…
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