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7281por Mahmood, Nader A, Mathew, Jacob, Kang, Balwinder, DeBari, Vincent A, Khan, Muhammad Anees“…The odds ratios for the association of RDW with APACHE II were calculated over the RDW range 12-20% at a dichotomized level of APACHE II, i.e., <15 and ≥15. …”
Publicado 2014
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7282“…OBJECTIVE: To assess the predictive performance of Acute Physiologic and Chronic Health Evaluation II (APACHE II) software available on the hospital intranet and analyze interrater reliability of calculating the APACHE II score by the gold standard manual method or automatically using the software. …”
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7283por Thilak, M R, Shetty, Seema M., Kotian, Chitra M., Mohammed, Afsal P., Dhunputh, Pushwinder, Umakanth, Shashikiran, Saraswat, Pallavi P.“…There was negative correlation observed between T3 and APACHE II score (r = −0.448, P < 0.001) and T4 and APACHE II score (r = −0.221, P ≤ 0.001). …”
Publicado 2021
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7284“…The combined use of FDPs level and APACHE II scores generated an NRI of 9.94% and an IDI of 3.54%. …”
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7285por Lee, Hae Won, Seong, Sook Jin, Ohk, Boram, Kang, Woo Youl, Gwon, Mi-Ri, Kim, Bo Kyung, Kim, Hyun-Ju, Yoon, Young-Ran“…OBJECTIVE: This study evaluated the pharmacokinetics (PKs) and safety of a newly developed β-lapachone (MB12066) tablet, a natural NAD(P)H:quinone oxidoreductase 1 (NQO1) substrate, in healthy male volunteers. …”
Publicado 2017
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7286por Mahato, Bisundev, Otero, Tiffany M. N., Holland, Carrie A., Giguere, Patrick T., Bajwa, Ednan K., Camargo, Carlos A., Quraishi, Sadeq A.“…There was a significant difference between the AUC for DCCI + 25OHD and APACHE II + 25OHD (p = 0.04) but not between the AUC for DCCI + 25OHD and APACHE II (p = 0.12). …”
Publicado 2016
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7287por Schoe, Abraham, Bakhshi-Raiez, Ferishta, de Keizer, Nicolette, van Dissel, Jaap T., de Jonge, Evert“…RESULTS: Discrimination of the SOFA-, APACHE-IV-, APACHE-II-, SAPS-II-, MPM(24)-II - models to predict hospital mortality was good with an AUC of respectively: 0.809, 0.851, 0.830, 0.850, 0.801. …”
Publicado 2020
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7288“…BACKGROUND: The Physiologic Assessment and Chronic Health Evaluation (APACHE) score assimilation and calculation, as well as other demographic data collection, is inherent to research and nonresearch related needs of intensive care. …”
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7289“…Discrimination was excellent for GCS(24) (0.90±0.05), APACHE II(24) (0.89±0.01), MAS(24) (0.86±0.10), and APACHE II(0) (0.83±0.11) AUC. …”
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7290por Ke, Lu, Tong, Zhi-hui, Li, Wei-qin, Wu, Congye, Li, Ning, Windsor, John A., Li, Jie-shou, Petrov, Maxim S.“…The positive likelihood ratio of APACHE II score is excellent (9.9) but of IAP is moderate (4.2). …”
Publicado 2014
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7291por Simoes, Marco, Alves, Patricia, Esperto, Helder, Canha, Catarina, Meira, Elisa, Ferreira, Erica, Gomes, Manuel, Fonseca, Isabel, Barbosa, Benilde, Costa, Jose Nascimento“…The scores with best area under the curve correlation were APACHE II (48 hours): 0.892, Ranson: 0.879, and APACHE II (admission): 0.861. …”
Publicado 2011
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7292“…Background: The Simplified Acute Physiology Score (SAPS) II, Acute Physiology and Chronic Health Evaluation (APACHE) II, and Sequential Organ Failure Assessment (SOFA) scales are scoring systems used in intensive care units (ICUs) worldwide. …”
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7293por Lee, Min A, Choi, Kang Kook, Yu, Byungchul, Park, Jae Jeong, Park, Youngeun, Gwak, Jihun, Lee, Jungnam, Jeon, Yang Bin, Ma, Dae Sung, Lee, Gil Jae“…BACKGROUND: The Acute Physiology and Chronic Health Evaluation (APACHE) II scoring system and the Sequential Organ Failure Assessment (SOFA) scoring system are widely used for critically ill patients. …”
Publicado 2017
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7294por Solloch, Ute V., Giani, Anette S., Pattillo Garnham, Maria Ignacia, Sauter, Jürgen, Bernas, Stefanie N., Lange, Vinzenz, Barriga, Francisco, Fernández-Viña, Marcelo A., Schmidt, Alexander H.“…In this work, we analyzed HLA allele and haplotype frequencies of donors of DKMS Chile, the first Chilean donor registry, with self-assessed “non-Indigenous” (n=92,788) and “Mapuche” (n=1,993) ancestry. We identified HLA alleles that were distinctly more abundant in the Chilean subpopulations than in worldwide reference populations, four of them particularly characteristic for the Mapuche subpopulation, namely B*39:09g, B*35:09, DRB1*04:07g, and DRB1*16:02g. …”
Publicado 2023
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7295por Gallardo-Peralta, Lorena P., Rodríguez-Blázquez, Carmen, Ayala-García, Alba, Forjaz, María João“…The GDS-15 had a KR-20 coefficient of 0.90 for the non-indigenous group, 0.80 for Aymara, and 0.85 for Mapuche. The homogeneity index was 0.38 for non-indigenous, 0.24 for Aymara, and 0.29 for Mapuche. …”
Publicado 2020
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7296por Oliveira, Luiz Filipe Gonçalves, Souza-Silva, Franklin, Cysne-Finkelstein, Léa, Rabelo, Kíssila, Amorim, Juliana Fernandes, Azevedo, Adriana de Souza, Bourguignon, Saulo Cabral, Ferreira, Vitor Francisco, Paes, Marciano Viana, Alves, Carlos Roberto“…Epoxymethoxy-lawsone was the most toxic to lung tissue, while most severe damage was caused in the heart by epoxy-α-lapachone. Meglumine antimoniate caused mild-to-moderate changes in heart and lung tissues.…”
Publicado 2017
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7297por van den Boogaard, Mark, Peters, Sanne AE, van der Hoeven, Johannes G, Dagnelie, Pieter C, Leffers, Pieter, Pickkers, Peter, Schoonhoven, Lisette“…INTRODUCTION: Predictive models, such as acute physiology and chronic health evaluation II (APACHE-II), are widely used in intensive care units (ICUs) to estimate mortality. …”
Publicado 2010
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7298“…The AUC of Presepsin for predicting 28-day mortality in septic patients was slightly lower than that of PCT, MEDS score and APACHE II score. The AUC of a combination of Presepsin and MEDS score or APACHE II score was significantly higher than that of MEDS score or APACHE II score alone in predicting severe sepsis, and was markedly higher than that of Presepsin alone in predicting septic shock and 28-day mortality in septic patients, respectively. …”
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7299“…Multivariate logistic regression analysis revealed that the combination of fT3 and APACHE-II (R(2) = 0.652) was superior in predicting mortality than APACHE-II alone (R(2) = 0.286). …”
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7300por Cheng, PengFei, Wu, Hao, Yang, JunZhe, Song, XiaoYang, Xu, MengDa, Li, BiXi, Zhang, JunJun, Qin, MingZhe, Zhou, Cheng, Zhou, Xiang“…Further, the MuLBSTA score had the largest area under ROC curve in terms of death risk assessment, which is also significantly different from that of CURB-65; however, no difference was noted with the APACHE II score. CONCLUSION: For patients with COVID, the APACHE II score is an effective predictor of the disease severity and mortality risk. …”
Publicado 2021
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