Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Wisit Kaewput"'
Autor:
Methavee Poochanasri, Sethapong Lertsakulbunlue, Chutawat Kookanok, Ram Rangsin, Wisit Kaewput, Boonsub Sakboonyarat, Mathirut Mungthin, Parinya Samakkarnthai
Publikováno v:
Diabetes Epidemiology and Management, Vol 16, Iss , Pp 100232- (2024)
Introduction: The prevalence of Type 2 Diabetes Mellitus (T2DM) is expected to rise, increasing the risk of cardiovascular disease. This study explores the relationship between high-density lipoprotein cholesterol (HDL) and glycemic control in T2DM p
Externí odkaz:
https://doaj.org/article/30d7488cfd854cc1b975e44c9fd9185c
Autor:
Charat Thongprayoon, Jing Miao, Caroline Jadlowiec, Shennen A. Mao, Michael Mao, Napat Leeaphorn, Wisit Kaewput, Pattharawin Pattharanitima, Oscar A. Garcia Valencia, Supawit Tangpanithandee, Pajaree Krisanapan, Supawadee Suppadungsuk, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Publikováno v:
Renal Failure, Vol 45, Iss 2 (2023)
Background Educational attainment significantly influences post-transplant outcomes in kidney transplant patients. However, research on specific attributes of lower-educated subgroups remains underexplored. This study utilized unsupervised machine le
Externí odkaz:
https://doaj.org/article/82b7f70f7efa4f61966a11cfedd93418
Autor:
Charat Thongprayoon, Wisit Cheungpasitporn, Michael A Mao, Matthew Cooper, Pitchaphon Nissaisorakarn, Caroline C Jadlowiec, Shennen A Mao, Napat Leeaphorn, Wisit Kaewput, Pattharawin Pattharanitima
Publikováno v:
BMJ Surgery, Interventions, & Health Technologies, Vol 5, Iss 1 (2023)
Objectives This study aimed to identify distinct clusters of very elderly kidney transplant recipients aged ≥80 and assess clinical outcomes among these unique clusters.Design Cohort study with machine learning (ML) consensus clustering approach.Se
Externí odkaz:
https://doaj.org/article/e250ad3b203743e4992848fde957a58a
Autor:
Boonsub Sakboonyarat, Warabhorn Pima, Channarong Chokbumrungsuk, Taksin Pimpak, Sirikorn Khunsri, Supak Ukritchon, Worarachanee Imjaijitt, Mathirut Mungthin, Wisit Kaewput, Bhophkrit Bhopdhornangkul, Nattapol Sathavarodom, Pyatat Tatsanavivat, Ram Rangsin
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Diabetes is one of the largest global health problems and exhibits a constantly increasing trend. A series of nationwide hospital-based cross-sectional surveys of clinical outcomes was performed annually from 2011 to 2015 and 2018 among pati
Externí odkaz:
https://doaj.org/article/e9f4d99f2471479ca936b2a45d1f79cb
Autor:
Charat Thongprayoon, Jing Miao, Caroline C. Jadlowiec, Shennen A. Mao, Michael A. Mao, Pradeep Vaitla, Napat Leeaphorn, Wisit Kaewput, Pattharawin Pattharanitima, Supawit Tangpanithandee, Pajaree Krisanapan, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Publikováno v:
Medicina, Vol 59, Iss 5, p 977 (2023)
Background and Objectives: The aim of our study was to categorize very highly sensitized kidney transplant recipients with pre-transplant panel reactive antibody (PRA) ≥ 98% using an unsupervised machine learning approach as clinical outcomes for t
Externí odkaz:
https://doaj.org/article/a3a6da7306184e38a27cbf589cfe7abe
Autor:
Charat Thongprayoon, Pradeep Vaitla, Caroline C. Jadlowiec, Napat Leeaphorn, Shennen A. Mao, Michael A. Mao, Fahad Qureshi, Wisit Kaewput, Fawad Qureshi, Supawit Tangpanithandee, Pajaree Krisanapan, Pattharawin Pattharanitima, Prakrati C. Acharya, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Publikováno v:
Medicines, Vol 10, Iss 4, p 25 (2023)
Background: Better understanding of the different phenotypes/subgroups of non-U.S. citizen kidney transplant recipients may help the transplant community to identify strategies that improve outcomes among non-U.S. citizen kidney transplant recipients
Externí odkaz:
https://doaj.org/article/1a68025869dc4ae9a1be0986b8618185
Autor:
Noppawit Aiumtrakul, Kitinan Phichedwanichskul, Surapong Saravutthikul, Kamonwan Ottasat, Kesinee Visuthitepkul, Thitinat Jaruthiti, Sarita Jinawong, Kwanchanok Chanthowong, Varot Pengsritong, Nattawinee Horadee, Chotip Jitudomtham, Torpathom Pruekprasert, Thakorn Tawatkiratipol, Tunjira Chokjutha, Panuwat Pongpripoom, Chirayu Wiwatwarapon, Pirawich Sriyarun, Natcha Homrossukhon, Annop Kittithaworn, Wisit Kaewput, Ram Rangsin, Bancha Satirapoj
Publikováno v:
BMC Nephrology, Vol 22, Iss 1, Pp 1-10 (2021)
Abstract Background Albuminuria is an established risk marker for both cardiovascular and renal outcomes. In this study, we expected to use portable and inexpensive test strips to detect urine albumin level for risk stratification in cardiovascular a
Externí odkaz:
https://doaj.org/article/ad772ec442ff46b089cdbfcffb5b08ac
Autor:
Desiree Garcia Anton, Karthik Kovvuru, Swetha R Kanduri, Narothama Reddy Aeddula, Tarun Bathini, Charat Thongprayoon, Wisit Kaewput, Karn Wijarnpreecha, Kanramon Watthanasuntorn, Sohail Abdul Salim, Praise Matemavi, Pradeep Vaitla, Franco Cabeza Rivera, Wisit Cheungpasitporn
Publikováno v:
Urology Annals, Vol 13, Iss 1, Pp 67-72 (2021)
Background: Renal angiomyolipoma (AML) is the most frequent mesenchymal tumor of the kidney. Although there is a rare possibility of malignant transformation of AML, this risk has not been studied in immunosuppressed patients. The safety of donors wi
Externí odkaz:
https://doaj.org/article/8df5a59953834b29b7e373a5eded4a19
Autor:
Charat Thongprayoon, Nadeen J Khoury, Tarun Bathini, Narothama Reddy Aeddula, Boonphiphop Boonpheng, Ploypin Lertjitbanjong, Kanramon Watthanasuntorn, Napat Leeaphorn, Supavit Chesdachai, Aldo Torres-Ortiz, Wisit Kaewput, Jackrapong Bruminhent, Michael A Mao, Wisit Cheungpasitporn
Publikováno v:
Urology Annals, Vol 12, Iss 3, Pp 241-247 (2020)
Background: Persistent anemia has been described in kidney transplant (KTx) recipients with parvovirus B19 virus infection. However, the epidemiology of parvovirus B19 and parvovirus B19-related anemia after KTx remains unclear. We conducted this sys
Externí odkaz:
https://doaj.org/article/f3dc1e265f504d579953bc18a29d3eab
Autor:
Supawit Tangpanithandee, Charat Thongprayoon, Pajaree Krisanapan, Michael A. Mao, Wisit Kaewput, Pattharawin Pattharanitima, Boonphiphop Boonpheng, Wisit Cheungpasitporn
Publikováno v:
Diseases, Vol 11, Iss 1, p 18 (2023)
Background: The utilization of multi-dimensional patient data to subtype hepatorenal syndrome (HRS) can individualize patient care. Machine learning (ML) consensus clustering may identify HRS subgroups with unique clinical profiles. In this study, we
Externí odkaz:
https://doaj.org/article/8811293708fd4063acc0b869037c9e2c