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5 results on '"John Cuddeback"'

1. Albuminuria Testing in Hypertension and Diabetes

Author

Jung-Im Shin, Alex R. Chang, Morgan E. Grams, Josef Coresh, Shoshana H. Ballew, Aditya Surapaneni, Kunihiro Matsushita, Henk J.G. Bilo, Juan J. Carrero, Gabriel Chodick, Kenn B. Daratha, Simerjot K. Jassal, Girish N. Nadkarni, Robert G. Nelson, Christoph Nowak, Nikita Stempniewicz, Keiichi Sumida, Jamie P. Traynor, Mark Woodward, Yingying Sang, Ron T. Gansevoort, John Chalmers, Katherine Tuttle, Radica Alicic, Sterling McPherson, Cami Jones, Gurmukteshwar Singh, Jamie Green, H. Lester Kirchner, Varda Shalev, Erwin P. Bottinger, Ruth J.F. Loos, Stephen B. Ellis, John Cuddeback, Elizabeth Ciemins, Emily Carbonara, Stephan Dunning, William C. Knowler, Helen C. Looker, Lyane M. Kieneker, Stephan J.L. Bakker, Hans L. Hillege, Pim van der Harst, Jacklyn Bergstrom, Joachim Ix, Csaba P. Kovesdy, Praveen Potukuchi, Marco Trevisan, Carl Gustaf Elinder, Björn Wettermark, Johan Ärnlöv, Patrick B. Mark, Peter C. Thomson, Colin C. Geddes, Gijs W.D. Landman, Kornelis J.J. van Hateren, Nanne Kleefstra, Orlando Gutierrez, Tsuneo Konta, Andrew S. Levey, Kevan Polkinghorne, Elke Schäffner, Jingsha Chen, Aditya Surapeneni, Groningen Kidney Center (GKC), and Cardiovascular Centre (CVC)

Subjects
Adult, medicine.medical_specialty, Article, Diabetes mellitus, Internal medicine, Internal Medicine, Diabetes Mellitus, Medicine, Albuminuria, Humans, Renal Insufficiency, Chronic, Aged, business.industry, Incidence (epidemiology), Odds ratio, Middle Aged, medicine.disease, Blood pressure, Meta-analysis, Creatinine, Cohort, Hypertension, medicine.symptom, business, Kidney disease, Glomerular Filtration Rate
Abstract

Albuminuria is an under-recognized component of chronic kidney disease definition, staging, and prognosis. Guidelines, particularly for hypertension, conflict on recommendations for urine albumin-to-creatinine ratio (ACR) measurement. Separately among 1 344 594 adults with diabetes and 2 334 461 nondiabetic adults with hypertension from the chronic kidney disease Prognosis Consortium, we assessed ACR testing, estimated the prevalence and incidence of ACR ≥30 mg/g and developed risk models for ACR ≥30 mg/g. The ACR screening rate (cohort range) was 35.1% (12.3%–74.5%) in diabetes and 4.1% (1.3%–20.7%) in hypertension. Screening was largely unrelated to the predicted risk of prevalent albuminuria. The median prevalence of ACR ≥30 mg/g across cohorts was 32.1% in diabetes and 21.8% in hypertension. Higher systolic blood pressure was associated with a higher prevalence of albuminuria (odds ratio [95% CI] per 20 mm Hg in diabetes, 1.50 [1.42–1.60]; in hypertension, 1.36 [1.28–1.45]). The ratio of undetected (due to lack of screening) to detected ACR ≥30 mg/g was estimated at 1.8 in diabetes and 19.5 in hypertension. Among those with ACR

Published
2021

2. Addressing Therapeutic Inertia in 2020 and Beyond: A 3-Year Initiative of the American Diabetes Association

Author

Kamlesh Khunti, Christine Beebe, John Cuddeback, Luigi F. Meneghini, Paul Scribner, Naeem D. Khan, Todd Hobbs, Debbie Kendall, Lucia M. Novak, Eden Miller, Robert A. Gabbay, Sandra Leal, and Swapnil Rajpathak

Subjects
American diabetes association, medicine.medical_specialty, Scope (project management), business.industry, Endocrinology, Diabetes and Metabolism, Psychological intervention, 030209 endocrinology & metabolism, Type 2 diabetes, medicine.disease, Perspectives in Clinical Diabetes, Test (assessment), 03 medical and health sciences, 0302 clinical medicine, Publishing, Family medicine, Internal Medicine, medicine, 030212 general & internal medicine, business, Glycemic, Therapeutic inertia
Abstract

Research has shown that getting to glycemic targets early on leads to better outcomes in people with type 2 diabetes; yet, there has been no improvement in the attainment of A1C targets in the past decade. One reason is therapeutic inertia: the lack of timely adjustment to the treatment regimen when a person’s therapeutic targets are not met. This article describes the scope and priorities of the American Diabetes Association’s 3-year Overcoming Therapeutic Inertia Initiative. Its planned activities include publishing a systematic review and meta-analysis of approaches to reducing therapeutic inertia, developing a registry of effective strategies, launching clinician awareness and education campaigns, leveraging electronic health record and clinical decision-support tools, influencing payer policies, and potentially executing pragmatic research to test promising interventions.

Published
2020

3. Author response for 'Strategies for overcoming therapeutic inertia in type 2 diabetes: A systematic review and meta‐analysis'

Author

Robert A. Gabbay, Michelle L. Litchman, Christine Beebe, Rhea E. Powell, Alyssa Crawford, Francesco Zaccardi, Xin Mei Chen, Paul Scribner, Rajesh R. Mehta, Kevin M. Pantalone, Lauren Kissela, Jessica W. Skelley, John Cuddeback, Luigi F. Meneghini, Swapnil Rajpathak, and Kamlesh Khunti

Subjects
medicine.medical_specialty, business.industry, Meta-analysis, medicine, Type 2 diabetes, Intensive care medicine, medicine.disease, business, Therapeutic inertia
Published
2021
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4. Development of Risk Prediction Equations for Incident Chronic Kidney Disease

Author

Robert G, Nelson Morgan, E Grams, Shoshana H, Ballew, Yingying, Sang, Fereidoun, Azizi, Steven J, Chadban, Layal, Chaker, Stephan C, Dunning, Caroline, Fox, Yoshihisa, Hirakawa, Kunitoshi, Iseki, Joachim, Ix, Tazeen H, Jafar, Anna, Köttgen, David M, J Naimark, Takayoshi, Ohkubo, Gordon J, Prescott Casey, M Rebholz, Charumathi, Sabanayagam, Toshimi, Sairenchi, Ben, Schöttker, Yugo, Shibagaki, Marcello, Tonelli, Luxia, Zhang, Ron T, Gansevoort, Kunihiro, Matsushita, Mark, Woodward, Josef, Coresh, Varda, Shalev, CKD Prognosis Consortium, John, Chalmers, Hisatomi, Arima, Vlado, Perkovic, Morgan, Grams, Kevan, Polkinghorne, Robert, Atkins, Steven, Chadban, Ming-Hui, Zhao, Fang, Wang, Jinwei, Wang, Frank, Sacks, Gary, Curhan, Michael, Shlipak, Mark, Sarnak, Ronit, Katz, Jade, Hiramoto, Hiroyasu, Iso, Isao, Muraki, Kazumasa, Yamagishi, Mitsumasa, Umesawa, Hermann, Brenner, Kai-Uwe, Saum, Dietrich, Rothenbacher, Shih-Jen, Hwang, Alex, Chang, Jamie, Green, Gurmukteshwar, Singh, H Lester, Kirchner, Corri, Black, Angharad, Marks, Gordon, Prescott, Laura, Clark, Nick, Fluck, Cirillo, Massimo, Stein, Hallan, Marius, Øvrehus, Knut, Langlo, Solfrid, Romundstad, Fujiko, Irie, Adolfo, Correa, Casey, Rebholz, Bessie, Young, L Ebony, Boulware, Stanford, Mwasongwe, Tsuyoshi, Watanabe, Kunihiro, Yamagata, Koichi, Asahi, Gabriel, Chodick, Carmen, Peralta, Erwin, Bottinger, Girish, Nadkarni, Stephen, Ellis, Rajiv, Nadukuru, Timothy, Kenealy, C Raina, Elley, John, Collins, Paul, Drury, Kei, Asayama, Masahiro, Kikuya, Hirohito, Metoki, Masaaki, Nakayama, Chiho, Iseki, Robert, Nelson, Helen, Looker, William, Knowler, Ron, Gansevoort, Stephan, Bakker, Hiddo, Heerspink, Simerjot, Jassal, Jaclyn, Bergstrom, Elizabeth, Barrett-Connor, Csaba, Kovesdy, Keiichi, Sumida, Kamyar, Kalantar-Zadeh, Sanaz, Sedaghat, Arfan, Ikram, Ewout, Hoorn, Abbas, Dehghan, Juan, Carrero, Marie, Evans, Carl-Gustaf, Elinder, Tien, Wong, Ching-Yu, Cheng, Chi-Pang, Wen, Chwen-Keng, Tsao, Min-Kuang, Tsai, Chien-Hua, Chen, Farhad, Hosseinpanah, Farzad, Hadaegh, Mohammadhassan, Mirbolouk, Marit, Solbu, Bjørn, Eriksen, Trond, Jenssen, Anne, Eggen, Lars, Lannfelt, Anders, Larsson, Johan, Ärnlöv, Henk, Bilo, Gijs, Landman, Kornelis, Hateren, Nanne, Kleefstra, Stephan, Dunning, Nikita, Stempniewicz, John, Cuddeback, Elizabeth, Ciemins, Shoshana, Ballew, Andrew, Levey, Jingsha, Chen, Lucia, Kwak, Aditya, Surapeneni, Mark, Woodward., Robert, G, Nelson, Morgan, E, Gram, Shoshana, H, Ballew, Yingying, Sang, Fereidoun, Azizi, Steven, J, Chadban, Layal, Chaker, Stephan, C, Dunning, Caroline, Fox, Yoshihisa, Hirakawa, Kunitoshi, Iseki, Joachim, Ix, Tazeen, H, Jafar, Anna, Köttgen, David, M, J, Naimark, Takayoshi, Ohkubo, Gordon, J, Prescott, Casey, M, Rebholz, Charumathi, Sabanayagam, Toshimi, Sairenchi, Ben, Schöttker, Yugo, Shibagaki, Marcello, Tonelli, Luxia, Zhang, Ron, T, Gansevoort, Kunihiro, Matsushita, Mark, Woodward, Josef, Coresh, Varda, Shalev, CKD Prognosis, Consortium, John, Chalmer, Hisatomi, Arima, Vlado, Perkovic, Morgan, Gram, Kevan, Polkinghorne, Robert, Atkin, Steven, Chadban, Ming-Hui, Zhao, Fang, Wang, Jinwei, Wang, Frank, Sack, Gary, Curhan, Michael, Shlipak, Mark, Sarnak, Ronit, Katz, Jade, Hiramoto, Hiroyasu, Iso, Isao, Muraki, Kazumasa, Yamagishi, Mitsumasa, Umesawa, Hermann, Brenner, Kai-Uwe, Saum, Dietrich, Rothenbacher, Shih-Jen, Hwang, Alex, Chang, Jamie, Green, Gurmukteshwar, Singh, H, Lester, Kirchner, Corri, Black, Angharad, Mark, Gordon, Prescott, Laura, Clark, Nick, Fluck, Cirillo, Massimo, Stein, Hallan, Marius, Øvrehu, Knut, Langlo, Solfrid, Romundstad, Fujiko, Irie, Adolfo, Correa, Casey, Rebholz, Bessie, Young, L, Ebony, Boulware, Stanford, Mwasongwe, Tsuyoshi, Watanabe, Kunihiro, Yamagata, Koichi, Asahi, Gabriel, Chodick, Carmen, Peralta, Erwin, Bottinger, Girish, Nadkarni, Stephen, Elli, Rajiv, Nadukuru, Timothy, Kenealy, C, Raina, Elley, John, Collin, Paul, Drury, Kei, Asayama, Masahiro, Kikuya, Hirohito, Metoki, Masaaki, Nakayama, Chiho, Iseki, Robert, Nelson, Helen, Looker, William, Knowler, Ron, Gansevoort, Stephan, Bakker, Hiddo, Heerspink, Simerjot, Jassal, Jaclyn, Bergstrom, Elizabeth, Barrett-Connor, Csaba, Kovesdy, Keiichi, Sumida, Kamyar, Kalantar-Zadeh, Sanaz, Sedaghat, Arfan, Ikram, Ewout, Hoorn, Abbas, Dehghan, Juan, Carrero, Marie, Evan, Carl-Gustaf, Elinder, Tien, Wong, Ching-Yu, Cheng, Chi-Pang, Wen, Chwen-Keng, Tsao, Min-Kuang, Tsai, Chien-Hua, Chen, Farhad, Hosseinpanah, Farzad, Hadaegh, Mohammadhassan, Mirbolouk, Marit, Solbu, Bjørn, Eriksen, Trond, Jenssen, Anne, Eggen, Lars, Lannfelt, Anders, Larsson, Johan, Ärnlöv, Henk, Bilo, Gijs, Landman, Kornelis, Hateren, Nanne, Kleefstra, Stephan, Dunning, Nikita, Stempniewicz, John, Cuddeback, Elizabeth, Ciemin, Shoshana, Ballew, Andrew, Levey, Jingsha, Chen, Lucia, Kwak, Aditya, Surapeneni, Mark, Woodward., Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Epidemiology, and Internal Medicine

Subjects
Male, medicine.medical_specialty, Renal function, Disease, Risk Assessment, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Interquartile range, Internal medicine, Diabetes mellitus, medicine, CKD, Humans, 030212 general & internal medicine, 0101 mathematics, Renal Insufficiency, Chronic, Statistic, Aged, Original Investigation, business.industry, 010102 general mathematics, General Medicine, Middle Aged, Models, Theoretical, medicine.disease, MODEL, RENAL-DISEASE, Albuminuria, Female, medicine.symptom, business, Body mass index, Glomerular Filtration Rate, Kidney disease
Abstract

IMPORTANCE Early identification of individuals at elevated risk of developing chronic kidney disease (CKD) could improve clinical care through enhanced surveillance and better management of underlying health conditions.OBJECTIVE To develop assessment tools to identify individuals at increased risk of CKD, defined by reduced estimated glomerular filtration rate (eGFR).DESIGN, SETTING, AND PARTICIPANTS Individual-level data analysis of 34 multinational cohorts from the CKD Prognosis Consortium including 5 222 711 individuals from 28 countries. Data were collected from April 1970 through January 2017. A 2-stage analysis was performed, with each study first analyzed individually and summarized overall using a weighted average. Because clinical variables were often differentially available by diabetes status, models were developed separately for participants with diabetes and without diabetes. Discrimination and calibration were also tested in 9 external cohorts (n = 2 253 540).EXPOSURES Demographic and clinical factors.MAIN OUTCOMES AND MEASURES Incident eGFR of less than 60 mL/min/1.73 m(2).RESULTS Among 4 441 084 participants without diabetes (mean age, 54 years, 38% women), 660 856 incident cases (14.9%) of reduced eGFR occurred during a mean follow-up of 4.2 years. Of 781 627 participants with diabetes (mean age, 62 years, 13% women), 313 646 incident cases (40%) occurred during a mean follow-up of 3.9 years. Equations for the 5-year risk of reduced eGFR included age, sex, race/ethnicity, eGFR, history of cardiovascular disease, ever smoker, hypertension, body mass index, and albuminuria concentration. For participants with diabetes, the models also included diabetes medications, hemoglobin A(1c), and the interaction between the 2. The risk equations had a median C statistic for the 5-year predicted probability of 0.845 (interquartile range [IQR], 0.789-0.890) in the cohorts without diabetes and 0.801 (IQR, 0.750-0.819) in the cohorts with diabetes. Calibration analysis showed that 9 of 13 study populations (69%) had a slope of observed to predicted risk between 0.80 and 1.25. Discrimination was similar in 18 study populations in 9 external validation cohorts; calibration showed that 16 of 18 (89%) had a slope of observed to predicted risk between 0.80 and 1.25.CONCLUSIONS AND RELEVANCE Equations for predicting risk of incident chronic kidney disease developed from more than 5 million individuals from 34 multinational cohorts demonstrated high discrimination and variable calibration in diverse populations. Further study is needed to determine whether use of these equations to identify individuals at risk of developing chronic kidney disease will improve clinical care and patient outcomes.

Published
2019

5. Transfusions for Jehovah's Witnesses

Author

Ivy Purkey, John Cuddeback, Linda Orsine, and Richard F. Kaplan

Subjects
medicine.medical_specialty, Blood Transfusion, Autologous, Anesthesiology and Pain Medicine, business.industry, General surgery, Religion and Medicine, medicine, Humans, business, Christianity
Published
1983

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