Voravech Nissaisorakarn
Overview
Explore the profile of Voravech Nissaisorakarn including associated specialties, affiliations and a list of published articles.
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14
Citations
67
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Recent Articles
1.
Nissaisorakarn V, Specht A, Danziger J
Environ Health Perspect
. 2024 Apr;
132(4):47702.
PMID: 38683746
No abstract available.
2.
Morales-Alvarez M, Nissaisorakarn V, Appel L, Miller 3rd E, Christenson R, Rebuck H, et al.
Kidney360
. 2024 Feb;
5(4):569-576.
PMID: 38326949
No abstract available.
3.
Nissaisorakarn V, Ormseth G, Earle W, Morales-Alvarez M, Hiremath S, Juraschek S
Am J Physiol Renal Physiol
. 2023 Jun;
325(1):F99-F104.
PMID: 37262087
Hypertension is among the most prevalent medical conditions globally and a major contributor to chronic kidney disease, cardiovascular disease, and death. Prevention through nonpharmacological, population-level interventions is critically needed to...
4.
Nissaisorakarn V, Nissaisorakarn P, Kantachuvesiri S
Curr Opin Nephrol Hypertens
. 2022 Oct;
32(1):35-40.
PMID: 36250458
Purpose Of Review: Anaemia after kidney transplantation is a common finding with no uniform management guideline. Most approaches are derived from the chronic kidney disease (CKD) population. Recent advances for...
5.
Kovvuru K, Carbajal N, Pakanati A, Thongprayoon C, Hansrivijit P, Boonpheng B, et al.
World J Hepatol
. 2022 May;
14(3):516-524.
PMID: 35582296
Hepatitis E virus (HEV) infections are generally self-limited. Rare cases of hepatitis E induced fulminant liver failure requiring liver transplantation are reported in the literature. Even though HEV infection is...
6.
Thongprayoon C, Sy-Go J, Nissaisorakarn V, Dumancas C, Keddis M, Kattah A, et al.
Diagnostics (Basel)
. 2021 Nov;
11(11).
PMID: 34829467
Background: The objectives of this study were to classify patients with serum magnesium derangement on hospital admission into clusters using unsupervised machine learning approach and to evaluate the mortality risks...
7.
Thongprayoon C, Vaitla P, Nissaisorakarn V, Mao M, Genovez J, Kattah A, et al.
Med Sci (Basel)
. 2021 Oct;
9(4).
PMID: 34698185
Background: We aimed to cluster patients with acute kidney injury at hospital admission into clinically distinct subtypes using an unsupervised machine learning approach and assess the mortality risk among the...
8.
Machine Learning Consensus Clustering Approach for Hospitalized Patients with Phosphate Derangements
Thongprayoon C, Dumancas C, Nissaisorakarn V, Keddis M, Kattah A, Pattharanitima P, et al.
J Clin Med
. 2021 Oct;
10(19).
PMID: 34640457
Background: The goal of this study was to categorize patients with abnormal serum phosphate upon hospital admission into distinct clusters utilizing an unsupervised machine learning approach, and to assess the...
9.
Thongprayoon C, Mao M, Keddis M, Kattah A, Chong G, Pattharanitima P, et al.
J Nephrol
. 2021 Oct;
35(3):921-929.
PMID: 34623631
Background: The objective of this study was to characterize hypernatremia patients at hospital admission into clusters using an unsupervised machine learning approach and to evaluate the mortality risk among these...
10.
Thongprayoon C, Nissaisorakarn V, Pattharanitima P, Mao M, Kattah A, Keddis M, et al.
Medicina (Kaunas)
. 2021 Sep;
57(9).
PMID: 34577826
: Despite the association between hyperchloremia and adverse outcomes, mortality risks among patients with hyperchloremia have not consistently been observed among all studies with different patient populations with hyperchloremia. The...