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Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure.

BMC nephrology

Chaudhuri S, Han H, Monaghan C, Larkin J, Waguespack P, Shulman B, Kuang Z, Bellamkonda S, Brzozowski J, Hymes J, Black M, Kotanko P, Kooman JP, Maddux FW, Usvyat L.
PMID: 34372809
BMC Nephrol. 2021 Aug 09;22(1):274. doi: 10.1186/s12882-021-02481-0.

BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to intradialytic symptoms, such as hypotension, nausea, vomiting, and cramping/myalgia. Relative blood volume (RBV) plays an important role in adapting the ultrafiltration rate which in turn has a positive...

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Chaudhuri S, Han H, Monaghan C, et al. Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure. BMC Nephrol. 2021;22(1):274doi: 10.1186/s12882-021-02481-0.
Chaudhuri, S., Han, H., Monaghan, C., Larkin, J., Waguespack, P., Shulman, B., Kuang, Z., Bellamkonda, S., Brzozowski, J., Hymes, J., Black, M., Kotanko, P., Kooman, J. P., Maddux, F. W., & Usvyat, L. (2021). Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure. BMC nephrology, 22(1), 274. https://doi.org/10.1186/s12882-021-02481-0
Chaudhuri, Sheetal, et al. "Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure." BMC nephrology vol. 22,1 (2021): 274. doi: https://doi.org/10.1186/s12882-021-02481-0
Chaudhuri S, Han H, Monaghan C, Larkin J, Waguespack P, Shulman B, Kuang Z, Bellamkonda S, Brzozowski J, Hymes J, Black M, Kotanko P, Kooman JP, Maddux FW, Usvyat L. Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure. BMC Nephrol. 2021 Aug 09;22(1):274. doi: 10.1186/s12882-021-02481-0. PMID: 34372809; PMCID: PMC8351092.
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Disease expression caused by different variants in the BEST1 gene: genotype and phenotype findings in bestrophinopathies.

Acta ophthalmologica

Nowomiejska K, Nasser F, Stingl K, Schimpf-Linzenbold S, Biskup S, Brzozowska A, Rejdak R, Kohl S, Zrenner E.
PMID: 34327816
Acta Ophthalmol. 2021 Jul 29; doi: 10.1111/aos.14958. Epub 2021 Jul 29.

PURPOSE: To analyse the spectrum of clinical features and molecular genetic data in a series of patients carrying likely disease-associated variants in the BEST1 gene.METHODS: Retrospective observational analysis of clinical data extracted from the medical records of visual function,...

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Nowomiejska K, Nasser F, Stingl K, et al. Disease expression caused by different variants in the BEST1 gene: genotype and phenotype findings in bestrophinopathies. Acta Ophthalmol. 2021;doi: 10.1111/aos.14958.
Nowomiejska, K., Nasser, F., Stingl, K., Schimpf-Linzenbold, S., Biskup, S., Brzozowska, A., Rejdak, R., Kohl, S., & Zrenner, E. (2021). Disease expression caused by different variants in the BEST1 gene: genotype and phenotype findings in bestrophinopathies. Acta ophthalmologica, . https://doi.org/10.1111/aos.14958
Nowomiejska, Katarzyna, et al. "Disease expression caused by different variants in the BEST1 gene: genotype and phenotype findings in bestrophinopathies." Acta ophthalmologica vol. (2021). doi: https://doi.org/10.1111/aos.14958
Nowomiejska K, Nasser F, Stingl K, Schimpf-Linzenbold S, Biskup S, Brzozowska A, Rejdak R, Kohl S, Zrenner E. Disease expression caused by different variants in the BEST1 gene: genotype and phenotype findings in bestrophinopathies. Acta Ophthalmol. 2021 Jul 29; doi: 10.1111/aos.14958. Epub 2021 Jul 29. PMID: 34327816.
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Showing 181 to 182 of 182 entries