4research
Maternal metabolic, immune, and microbial systems in late pregnancy vary with malnutrition in mice.
Link: https://doi.org/10.1093/biolre/ioy002 Authors: Connor, Kristin L; Chehoud, Christel; Altrichter, Adam; Chan, Luisa; DeSantis, Todd Z; Lye, Stephen J Abstract: Malnutrition is a global threat to pregnancy health and impacts offspring development. Establishing an optimal pregnancy environment requires the coordination of maternal metabolic and immune pathways, which converge at the gut. Diet, metabolic, and immune dysfunctions…
Read MoreGenome-wide polygenic risk score for retinopathy of type 2 diabetes.
Link: https://doi.org/10.1093/hmg/ddab067 Authors: Forrest, Iain S; Chaudhary, Kumardeep; Paranjpe, Ishan; Vy, Ha My T; Marquez-Luna, Carla; Rocheleau, Ghislain; Saha, Aparna; Chan, Lili; Van Vleck, Tielman; Loos, Ruth J F; Cho, Judy; Pasquale, Louis R; Nadkarni, Girish N; Do, Ron Abstract: Diabetic retinopathy (DR) is a common consequence in type 2 diabetes (T2D) and a leading…
Read MoreSerum potassium and adverse outcomes across the range of kidney function: a CKD Prognosis Consortium meta-analysis.
Link: https://doi.org/10.1093/eurheartj/ehy100 Authors: Kovesdy, Csaba P; Matsushita, Kunihiro; Sang, Yingying; Brunskill, Nigel J; Carrero, Juan J; Chodick, Gabriel; Hasegawa, Takeshi; Heerspink, Hiddo L; Hirayama, Atsushi; Landman, Gijs W D; Levin, Adeera; Nitsch, Dorothea; Wheeler, David C; Coresh, Josef; Hallan, Stein I; Shalev, Varda; Grams, Morgan E; , Abstract: Both hypo- and hyperkalaemia can have immediate…
Read MoreIncluding measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP.
Link: https://doi.org/10.1093/eurjpc/zwac176 Authors: Matsushita, Kunihiro; Kaptoge, Stephen; Hageman, Steven H J; Sang, Yingying; Ballew, Shoshana H; Grams, Morgan E; Surapaneni, Aditya; Sun, Luanluan; Arnlov, Johan; Bozic, Milica; Brenner, Hermann; Brunskill, Nigel J; Chang, Alex R; Chinnadurai, Rajkumar; Cirillo, Massimo; Correa, Adolfo; Ebert, Natalie; Eckardt, Kai-Uwe; Gansevoort, Ron T; Gutierrez, Orlando; Hadaegh, Farzad; He, Jiang; Hwang,…
Read MoreUsing sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit.
Link: https://doi.org/10.1093/jamia/ocab252 Authors: Oh, Wonsuk; Jayaraman, Pushkala; Sawant, Ashwin S; Chan, Lili; Levin, Matthew A; Charney, Alexander W; Kovatch, Patricia; Glicksberg, Benjamin S; Nadkarni, Girish N Abstract: The novel coronavirus disease 2019 (COVID-19) has heterogenous clinical courses, indicating that there might be distinct subphenotypes in critically ill patients. Although prior research has identified these subphenotypes,…
Read MoreAssociation between intradialytic central venous oxygen saturation and ultrafiltration volume in chronic hemodialysis patients.
Link: https://doi.org/10.1093/ndt/gfx271 Authors: Zhang, Hanjie; Chan, Lili; Meyring-Wösten, Anna; Campos, Israel; Preciado, Priscila; Kooman, Jeroen P; van der Sande, Frank M; Fuertinger, Doris; Thijssen, Stephan; Kotanko, Peter Abstract: Cardiac disease is highly prevalent in hemodialysis (HD) patients. Decreased tissue perfusion, including cardiac, due to high ultrafiltration volumes (UFVs) is considered to be one of the…
Read MoreWhole genome sequence association with E-selectin levels reveals loss-of-function variant in African Americans.
Link: https://doi.org/10.1093/hmg/ddy360 Authors: Polfus, Linda M; Raffield, Laura M; Wheeler, Marsha M; Tracy, Russell P; Lange, Leslie A; Lettre, Guillaume; Miller, Amanda; Correa, Adolfo; Bowler, Russell P; Bis, Joshua C; Salimi, Shabnam; Jenny, Nancy Swords; Pankratz, Nathan; Wang, Biqi; Preuss, Michael H; Zhou, Lisheng; Moscati, Arden; Nadkarni, Girish N; Loos, Ruth J F; Zhong, Xue;…
Read MoreDeep learning and the electrocardiogram: review of the current state-of-the-art.
Link: https://doi.org/10.1093/europace/euaa377 Authors: Somani, Sulaiman; Russak, Adam J; Richter, Felix; Zhao, Shan; Vaid, Akhil; Chaudhry, Fayzan; De Freitas, Jessica K; Naik, Nidhi; Miotto, Riccardo; Nadkarni, Girish N; Narula, Jagat; Argulian, Edgar; Glicksberg, Benjamin S Abstract: In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has been used to identify patterns…
Read MoreMajor cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study.
Link: https://doi.org/10.1093/eurheartj/ehac825 Authors: Mark, Patrick B; Carrero, Juan J; Matsushita, Kunihiro; Sang, Yingying; Ballew, Shoshana H; Grams, Morgan E; Coresh, Josef; Surapaneni, Aditya; Brunskill, Nigel J; Chalmers, John; Chan, Lili; Chang, Alex R; Chinnadurai, Rajkumar; Chodick, Gabriel; Cirillo, Massimo; de Zeeuw, Dick; Evans, Marie; Garg, Amit X; Gutierrez, Orlando M; Heerspink, Hiddo J L; Heine,…
Read MoreUnmasking Fracture Risk in Type 2 Diabetes: The Association of Longitudinal Glycemic Hemoglobin Level and Medications.
Link: https://doi.org/10.1210/clinem/dgab882 Authors: Wang, Bowen; Wang, Zehai; Poundarik, Atharva A; Zaki, Mohammed J; Bockman, Richard S; Glicksberg, Benjamin S; Nadkarni, Girish N; Vashishth, Deepak Abstract: Fracture risk is underestimated in people with type 2 diabetes (T2D). To investigate the longitudinal relationship of glycated hemoglobin (HbA1c) and common medications on fracture risk in people with T2D.…
Read More