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237 citation(s) found for "Illés, Árpád".

(65) The Utility of Rapid Whole Exome Sequencing in the Management of Critically Ill Children: A Case Series
Schiltz, Brenda , Conboy, Erin , Pavel, Pichurin, Ouellette, Yves

Pediatrics | March 1, 2023 | Volume: 142 | Issue: 1_MeetingAbstract | Pages: 75-75

10.1542/peds.142.1ma1.75 Get It

Developmental Outcomes in Critically Ill Children: A Population Based Birth Cohort Report
Murphy, Sinéad, Undavalli, Chaitanya, Weaver, Amy L. , Crow, Sheri

Pediatrics | March 1, 2023 | Volume: 141 | Issue: 1_MeetingAbstract | Pages: 315-315

10.1542/peds.141.1ma4.315 Get It

Medication Management in the Critically Ill Patient with Acute Kidney Injury
Frazee, Erin N. , Flannery, Alexander H , Frazee, Erin N , Behal, Michael L.

Clinical Journal of the American Society of Nephrology | February 1, 2023 | Volume: 18 | Issue: 8 | Pages: 1080-1088

10.2215/cjn.0000000000000101 | PMID 36723347 Get It

Abstract AKI occurs frequently in critically ill patients. Patients with AKI, including those who require KRT, experience multiple pharmacokinetic and pharmacodynamic perturbations that dynamically influence medication effectiveness and safety. Patients with AKI may experience both subtherapeutic drug concentrations, which lead to ineffective therapy, and supratherapeutic drug concentrations, which increase the risk for toxicity. In critically ill patients with AKI not requiring KRT, conventional GFR estimation equations, especially those based on serum creatinine, have several limitations that can limit the accuracy when used for medication dosing. Alternative methods to estimate kidney function may be informative, including use of measured urinary creatinine clearance, kinetic eGFR, and equations that integrate novel kidney biomarkers. For critically ill patients with AKI requiring KRT, physicochemical properties of the drug, the KRT prescription and circuit configuration, and patient-specific factors each contribute to medication clearance. Evidence-based guidance for medication dosing during AKI requiring KRT is often limited. A working knowledge of the basic tenets of drug elimination during KRT can provide a framework for how to approach decision making when the literature is lacking. Iterative re-evaluation of a patient's progress toward therapeutic goals with a medication must occur over the arc of critical illness, including and especially in the setting of dynamic kidney function.
Relationship Among Clinically Obtained Biomarkers of Inflammation, Hypercoagulability, and Macrophage Activation, and Delirium in Critically Ill Patients With COVID-19
Khan, Sikandar , Perkins, Anthony J. , Chi, Rosalyn , Seyffert, Sarah , Conrad, Peter, Gao, Sujuan , Khan, Babar , Lindroth, Heidi , Wang, Sophia , Mulkey, Malissa

Critical Care Explorations | January 26, 2023 | Volume: 5 | Issue: 1 | Pages: e0851

10.1097/cce.0000000000000851 | PMID 36699256 Get It

OBJECTIVES: Critically ill patients with COVID-19 experience high rates of delirium and coma. Whether delirium occurs through novel mechanisms in COVID-19 is not known. We analyzed the relationship among biomarkers of inflammation (C-reactive protein [CRP]), hypercoagulability (d-dimer), and lung macrophage activation (ferritin), and the primary composite outcome of delirium/coma next day. We also measured associations between biomarkers and next day delirium and coma independently, and delirium severity. DESIGN: Retrospective, observational cohort study. SETTING: ICUs at two large, urban, academic referral hospitals. PATIENTS: All consecutive adult patients admitted to the ICU from March 1, 2020, to June 7, 2020, with COVID-19 with clinical biomarkers and delirium assessments performed. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Daily concentrations of CRP, d-dimer, and ferritin were obtained. Coma (assessed by Richmond Agitation-Sedation Scale) and delirium (assessed by Confusion Assessment Method for the ICU/Confusion Assessment Method for the ICU-7) were measured bid. A cohort of 197 ICU patients with COVID-19 were included. Higher d-dimer (odds ratio [OR], 1.57; 95% CI, 1.17–2.12; p < 0.01) and ferritin quartiles (OR, 1.36; 95% CI, 1.02–1.81; p < 0.01) were associated with greater odds of the composite outcome of delirium/coma next day. d-dimer was associated with greater odds of next day delirium (OR, 1.49; 95% CI, 1.14–1.94; p < 0.01) and coma independently (OR, 1.52; 95% CI, 1.08–2.14; p = 0.017). Higher ferritin quartiles were associated with greater odds of next day delirium (OR, 1.33; 95% CI, 1.04–1.70; p = 0.026) and coma independently (OR, 1.59; 95% CI, 1.14–2.23; p < 0.01). Higher CRP quartiles were associated with coma (OR, 1.36; 95% CI, 1.03–1.79; p = 0.030) and delirium severity the next day (β = 0.30; se, 0.07; p ≤ 0.01). CONCLUSIONS: Our hypothesis-generating study found d-dimer and ferritin were associated with delirium/coma the following day, as well as delirium and coma independently. CRP was associated with next day coma and delirium severity. Larger studies to validate these results are needed.
1087: CONTINUOUS RENAL REPLACEMENT THERAPY AND MORTALITY IN CRITICALLY ILL OBESE ADULTS
Peters, Bradley, Frazee, Erin N. , Peters, Bradley J. , Mara, Kristin C. , Kashani, Kianoush

Critical Care Medicine | December 15, 2022 | Volume: 51 | Issue: 1 | Pages: 539-539

10.1097/01.ccm.0000910076.35381.e9 Get It

996: MAXIMIZING THE GOLDEN HOUR IN CRITICALLY ILL PATIENTS: ASSESSMENT GAPS AT THE TIME OF ADMISSION
Brown, Meghan, Lahori, Simmy , Montgomery, Amy , Dong, Yue , Gajic, Ognjen , Niven, Alexander S.

Critical Care Medicine | December 15, 2022 | Volume: 51 | Issue: 1 | Pages: 491-491

10.1097/01.ccm.0000909712.84143.a5 Get It

743. Implementation of Beta-Lactam Therapeutic Drug Monitoring Programs in the Critically Ill: A Multicenter Mixed-Methods Study
Ausman, Sara , Boehmer, Kasey R. , Chitre, Pooja N., Saleh, Omar Abu , Abdul-Aziz, Hafiz, Jannetto, Paul J. , Moreland-Head, Lindsay , Shepel, Kathryn, Frazee, Erin N. , Ausman, Sara E , Chitre, Pooja , Pine, Kathleen H. , Al‐Shaer, Mohammad H. , Gajic, Ognjen , Mara, Kristin C. , Rivera, Christina G. , Roberts, Jason A , Rule, Andrew D. , Scheetz, Marc H.

Open Forum Infectious Diseases | December 15, 2022 | Volume: 9 | Issue: Supplement_2 | Pages: No page available

10.1093/ofid/ofac492.034 Get It

Abstract Background Beta-lactam therapeutic drug monitoring (BL TDM; drug level testing) can facilitate improved outcomes in critically ill patients. Yet less than 20% of hospitals have implemented BL TDM. The purpose of this study was to characterize provider perceptions and key considerations for successful implementation of BL TDM. Methods This was a sequential mixed methods study from 2020 to 2021 of stakeholders at three academic medical centers with varying degrees of BL TDM implementation - Mayo Clinic (BL TDM not implemented), University of Florida Health Shands (partially implemented), and Royal Brisbane and Women’s Hospital (fully implemented). Stakeholders completed a survey to characterize their knowledge, perceptions, and experience with BL TDM. A diverse group of 30 respondents were then purposively sampled for semi-structured interviews. Results from the two strands were integrated, themes were identified, and findings were situated within implementation science frameworks. Results Among the 138 survey respondents (22% response rate), the majority were physicians (38%) and pharmacists (33%). 71% practiced in critical care and 21% in infectious diseases. The majority of respondents felt BL TDM was relevant to their practice and improved medication effectiveness and safety (Figure 1). Two implementation themes were identified: individual internalization and organizational features. Individuals needed to internalize, make sense of, and agree to BL TDM implementation which was positively influenced by repeated exposure to evidence and expertise. The process of internalization seemed more complex with BL TDM than with other antibiotics (i.e., vancomycin). Organizational considerations relevant to BL TDM implementation included adequate physical and informational infrastructure, access to trained personnel, supportive governance/leadership, and robust process and workflow development. Conclusion We found broad enthusiasm about the relevance and potential benefits of BL TDM among stakeholders. Prior literature suggested the primary barrier to implementation was assay availability, but we identified many more individual and organizational attributes which impacted the scale and spread of BL TDM. Disclosures Sara Ausman, PharmD, Gilead: Honoraria Christina G. Rivera, PharmD, Gilead: Grant/Research Support|Gilead: Honoraria|Insmed: Honoraria Jason Roberts, BPharm(Hons), PhD, FSHP, FISAC, British Society of Chemotherapy: Grant/Research Support|Cipla: Honoraria|Gilead: Advisor/Consultant|MSD: Advisor/Consultant|MSD: Honoraria|Pfizer: Board Member|Pfizer: Honoraria|Qpex: Grant/Research Support|Sandoz: Board Member|Summit: Advisor/Consultant|Wolters Kluwer: Advisor/Consultant Marc H. Scheetz, PharmD, MSc, Abbvie: Advisor/Consultant|Allecra: Grant/Research Support|Merck: Advisor/Consultant|Nevakar: Advisor/Consultant|Nevakar: Grant/Research Support|Premier Healthcare Solutions: Honoraria|Spero: Advisor/Consultant|SuperTrans Medical: Advisor/Consultant|SuperTrans Medical: Grant/Research Support|Takeda: Advisor/Consultant|Third Pole Therapeutics: Advisor/Consultant.
Association of Early Steroid Administration With Outcomes of Children Hospitalized for COVID-19 Without Multisystem Inflammatory Syndrome in Children
Nadiger, Meghana , McGarvey, Jeremy , Harthan, Aaron A. , Lombardo, Mónica, Perkins, Nicholas , Sayed, Imran A., Bhalala, Utpal , Raju, Umamaheswara, Miller, Aaron S., Boman, Karen , Arteaga, Grace M. , Bansal, Vikas , Tekin, Aysun , Kumar, Vishakha K. , Group, Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator, Kovačević, Tanja , Markić, Joško , Ardalic, Tatjana Capitovic , Polić, Branka , Ivić, Ivo, Carev, Dominko , Glavinić, Robert, Vadgaonkar, Girish, Ediga, Rekha, Basety, Shilpa, Dammareddy, Shwetha, Kasumalla, Phani Sreeharsha, Manduva, Janaki, Kolakani, Naresh, Sripathi, Shreeja , Chaitanya, Sheetal, Papani, Sridhar, Kamuram, Mahesh, Mohan, Surapaneni Krishna, Jyothisree, Ekambaram, Petrolwala, Mukur, Ladva, Bharat, Kodate, Akira, Suzuki, Reina , Moriki, Koyo, Hassan-Hanga, Fatimah , Gezawa, Abubakar Shehu, Kabara, Halima M. S., Amole, Taiwo Gboluwaga , Kabir, Halima , Haliru, Dalha Gwarzo, Ibrahim, Abdullahi S., Asghar, Muhammad Sohaib , Syed, Mashaal , Naqvi, Syed Anosh Ali, Yasmin, Farah , Ahmed, Iftekhar , Ishaque, Sidra , Saleem, Ali Faisal , Alarifi, Mohammed I, Macarambon, Jara Mia, Bukhari, Ahmad Abdullah, Albahrani, Hussain A., Aldossary, Kaltham M., Malki, Walid, Kouzoukas, Brenna, Jacobs, Nekaiya, Ganbote, Tejashree, Valentine, Beryl, Sreerama, Pavan, Havalad, Vinod, Barry, Suzanne, Woll, Christopher , Wu, Gregory F. , Carrole, Erin, Burke, Kathryn , Irby, Katherine , Sanders, Ronald C., Hefley, Glenda, Christie, Amy B. , Adiga, Rajani, Campbell, Beth Salvagio , Wilson, Cathleen, Rivers, Patrick , Brinks, Jonathan, Mongoh, Mokenge Ndiva, Gilson, Boris, Danesh, Valerie , Dubrocq, Gueorgui , Davis, Amber, Hammers, Marissa J, McGahey, Ill M, Farris, Amanda C., Priest, Elisa L. , Korsmo, Robyn, Fares, Lorie, Skiles, Kathy, Shor, Susan M, Burns, Kenya, Dowell, Corrie A., Gonzales, Gabriela “ Hope”, Flores, Melody, Newman, Lindsay, Wilk, Debora A., Ettlinger, Jason, Bomar, Jaccallene, Darji, Himani, Arroliga, Alejandro C. , Khandhar, Paras B., Kring, Elizabeth, Anderson, Edwin L., Nagy, Rosemary, Inja, Ravali R., Nawathe, Pooja , Tsing, Jennifer, Carr, Karen, Chaudhary, Anila , Guglielmino, Kathleen, Strom, Larisa, Chiotos, Kathleen, Lee, Giyoung , Burnett, Ryan H., Sydney, Guy I. , Traynor, Danielle M., Ahmed, Farzin, Deonarine, Christopher, Jones, Ashley, Shaikh, Mohammad-Ali , Preston, David A. , Chin, Jeanette, Milligan, Patrick S., Koglin, Joy M., Gibson, Regina, Johnson, Lana, Preston, Felicia, Scott, Crimson, Nungester, Bethany, Menter, Sarah, Wasilewski, A., Kaul, Viren , Austin, Praise, Rogner, Jaimie, Russo, Anthony J. , Ontai, Sidney , Contreras, Brian, Obinwanko, Uzoma, Amamasi, Nneka, Sharafi, Amir, Kaufman, Margit, Lobel, G, Gandhi, Nisha, AbdelAty, Amr M. , Shaji, Elizabeth, Lim, Kiana, Marte, Juan M., Sosa, Dani Ashley, Roth, Prerana , Litwin, Alain H. , Pariyadath, Anand, Moschella, Phillip , Llano, Trayson, Salas, Alan, Daube, Ariel , Korn, Michelle, Rajagopalan, Logi, Santos, Laura Jurema dos , Crandall, Christine , Stojanovski, Sasko, Michienzi, Kelly, Amer, Marwa , Dahhan, Talal, Kseibi, Eiad, Butt, Abid, Khurshid, Syed Moazzum, Rabee, Muath, Abujazar, Mohammed, Alghunaim, Razan, Abualkhair, Maal, AlFirm, Abeer Turki, Oulds, Franscene, Nandavar, Akshay, Wen, Andy , DaCar, Allie, Reilkoff, Ronald A., Eichen, Sarah, Goertzen, Lexie, Rajala, Scott, Feussom, Ghislaine, Domecq, Juan Pablo , Sharma, Mayank , Qamar, Shahraz , Morales, Diana J. Valencia , Khan, Syed Anjum , Jain, Nitesh , Wang, Christine, Kotekal, Dhatri, Sendi, Prithvi , Aulakh, Bhagat , Bandy, Jennifer A., Kreps, Lisa M., Bollinger, Dawn R., Nadiger, Meghana, Schauf, Victoria, Rich, Deana, Anderson, Harry L., Rajkumar, Dixy, Abunayla, Ali, Heiter, Jerrilyn, Zaren, Howard A. , Smith, Stephanie J., Lewis, Grant C., Seames, Lauren, Farlow, Cheryl, Miller, Judy, Broadstreet, Gloria, Terrill, Cindy, Montgomery, Brock, Reyes, Sydney A, Reyes, Summer M, Plattner, Alex, Martinez, Anthony , Allison, Micheal, Mittal, Aniket, Ruíz, Rafael Azuar , Skaanland, Aleta, Amzuta, Ioana, Shah, Amish , Modi, Ritu, Al-Khalisy, Hassan, Masuta, Pardeep , Schafer, Melissa , Wratney, Angela, Jones, Tracy L., Ayers, Shonda C., Harrell, Amy B., Brown, Brent R., Malone, Kassidy, Sinko, Lauren A, Hrarrell, Amy B, Settle, Lisa, Sears, Taylor J., Kuehne, Joshua, Garcia, Melinda, Beebe, Morgan, Herrera, Heather , Belden, Katherine A. , Baram, Michael , Weber, Devin , DePaola, Rosalie, Xia, Yuwei , Carter, Hudson, Tolley, A. E., Ferranti, Mary, House, Scott, Aldana, Isabella, Stulce, Casey , Chong, Grace , Ghavam, Ahmeneh , Baslanti, Tezcan Ozrazgat, Omalay, George, Hashemighouchani, Haleh , Cupka, Julie S , Hubbard, Janice, Nazir, Usman, Rampon, Garrett , Riggle, Jake, Dismang, Nathan, Sullivan, Janice, Morris, Sarah, Nason, Jennifer, Rahman, Rania Abdul, Mulrow, Mary, Gál, Tamás, Mahashabde, Manasi, Vagonis, Alexandra , Uber, Rebecca, Mahmud, Haseeb , Leightle, Stefan, Zhang, Zoe, Vissichelli, Nicole C. , O'Meara, A M Iqbal, Rocawich, Katie, Harris, Lynnette , Cusson, Bruce, Reeves, Brandon, Fanelli, Jessica, Disher, Nataya, Samant, Anusha, DeGroot, Chritian, Youshock, Evan, Ligon, R. Miller, McCartney, Katherine, Garcia, Julio, Iloabachie, Chidi, Flores, Kelsey, VanEenenaam, David P., Sands, Lauren , Sweatt, Nia, Fowler, Jacob , Fram, Madeline, Howard, Easton, Johnson, Kathleen N. , Udoh, Imoh, Nosow, Lillian, Howard, Lucy Winesett, Pham, Quan Duc Minh, Irfanullah, Aman, Ong, Tiffany, Enwezor, Chukwunyelu Henry, Dabagian, Hannah, Bansal, Vikas , Asghar, Muhammad S , Tekin, Aysun , Tripathi, Sandeep , Lombardo, Monica, Gharpure, Varsha , Chiotos, Kathleen , Bjornstad, Erica C. , Dapul, Heda , Montgomery, Vicki , Deo, Neha , Gajic, Ognjen , Kashyap, Rahul , Walkey, Allan J. , Group, Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator, Itagaki, Yuki , Galadanci, Hadiza , Kabara, Halima Salisu, Syed, Mashaal, Almazyad, Mohammed , Asfina, Kazi Nur , Cooper, Paul R. , Burke, Kathryn, Mohammed, Mustafa, Ashley, Dennis W. , Mosier, Jarrod , Lutrick, Karen , Dubrocq, Gueorgui , Nagy, Rosemary, Inja, Ravali R., Pedraza, Isabel , Carr, Karen, Gist, Katja M. , Chiotos, Kathleen, Blatz, Allison M. , Cheruku, Sreekanth , Preston, David, Gupta, Sandeep , Abdelaty, Amr, Rennert, Lior , Ramírez, Michelle , Verma, Sourabh , Stojanovski, Sasko D., Johnson, Kristin, Bawazeer, Mohammed Abdullah , Gupta, Manoj , Heneghan, Julia A. , Tang, Ben, Lal, Amos , O’Horo, John C. , Singh, Romil , Koritala, Thoyaja , Tarabichi, Yasir , Perzynski, Adam T. , Wang, Christine, Totapally, Balagangadhar , Nadiger, Meghana, Wall, Chris, Menon, Shina , McGuire, John K. , Anderson, Harry L., Miller, Judy, Lin, John C. H. , Montgomery, Brock, Ruiz, Rafael, Ross, Robert, Gupta, Neha , Brown, Brent , Tolley, Aaron, Tofil, Nancy M. , Mayampurath, Anoop , Bihorac, Azra , Ruppert, Matthew M. , McGonagill, Patrick W. , Galet, Colette , Wang, David , Allan, Lauren , Badheka, Aditya V. , Chegondi, Madhuradhar , Sullivan, Janice, Nason, Jennifer, Akhter, Murtaza , Kashiouris, Markos , Gal, Tamas, Karam, Oliver , Carvalho, Heloisa De, Khanna, Ashish K. , Garcia, Julio, Robinson, Samuel, Enwezor, Chukwunyelu Henry , Mendoza, Rafael

JAMA Pediatrics | October 3, 2022 | Volume: 176 | Issue: 12 | Pages: 1208

10.1001/jamapediatrics.2022.3611 | PMID 36190706 Get It

ImportanceThere is limited evidence for therapeutic options for pediatric COVID-19 outside of multisystem inflammatory syndrome in children (MIS-C).ObjectiveTo determine whether the use of steroids within 2 days of admission for non–MIS-C COVID-19 in children is associated with hospital length of stay (LOS). The secondary objective was to determine their association with intensive care unit (ICU) LOS, inflammation, and fever defervescence.Design, Setting, and ParticipantsThis cohort study analyzed data retrospectively for children (&amp;lt;18 years) who required hospitalization for non–MIS-C COVID-19. Data from March 2020 through September 2021 were provided by 58 hospitals in 7 countries who participate in the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) COVID-19 registry.ExposureAdministration of steroids within 2 days of admission.Main Outcomes and MeasuresLength of stay in the hospital and ICU. Adjustment for confounders was done by mixed linear regression and propensity score matching.ResultsA total of 1163 patients met inclusion criteria and had a median (IQR) age of 7 years (0.9-14.3). Almost half of all patients (601/1163, 51.7%) were male, 33.8% (392/1163) were non-Hispanic White, and 27.9% (324/1163) were Hispanic. Of the study population, 184 patients (15.8%) received steroids within 2 days of admission, and 979 (84.2%) did not receive steroids within the first 2 days. Among 1163 patients, 658 (56.5%) required respiratory support during hospitalization. Overall, patients in the steroids group were older and had greater severity of illness, and a larger proportion required respiratory and vasoactive support. On multivariable linear regression, after controlling for treatment with remdesivir within 2 days, country, race and ethnicity, obesity and comorbidity, number of abnormal inflammatory mediators, age, bacterial or viral coinfection, and disease severity according to ICU admission within first 2 days or World Health Organization ordinal scale of 4 or higher on admission, with a random intercept for the site, early steroid treatment was not significantly associated with hospital LOS (exponentiated coefficient, 0.94; 95% CI, 0.81-1.09; P = .42). Separate analyses for patients with an LOS of 2 days or longer (n = 729), those receiving respiratory support at admission (n = 286), and propensity score–matched patients also showed no significant association between steroids and LOS. Early steroid treatment was not associated with ICU LOS, fever defervescence by day 3, or normalization of inflammatory mediators.Conclusions and RelevanceSteroid treatment within 2 days of hospital admission in a heterogeneous cohort of pediatric patients hospitalized for COVID-19 without MIS-C did not have a statistically significant association with hospital LOS.
Evaluation of Free Valproate Concentration in Critically Ill Patients
Brown, Caitlin S. , Liu, JiTong, Riker, Richard R. , Mara, Kristin C. , May, Teresa , Seder, David B. , Gagnon, David J. , Mara, Kristin C , Rabinstein, Alejandro A. , Fraser, Gilles L.

Critical Care Explorations | September 12, 2022 | Volume: 4 | Issue: 9 | Pages: e0746

10.1097/cce.0000000000000746 | PMID 37942235 Get It

OBJECTIVES: Protein binding of valproate is variable in ICU patients, and the total valproate concentration does not predict the free valproate concentration, even when correcting for albumin. We sought to quantify valproate free concentration among ICU patients, identify risk factors associated with an increasing free valproate concentration, and evaluate the association between free valproate concentration with potential adverse drug effect. DESIGN: Retrospective multicenter cohort study. SETTING: Two academic medical centers. PATIENTS: Patients greater than or equal to 18 years of age with concomitant free and total valproate concentrations collected in the ICU. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Two-hundred fifty-six patients were included in the study, with a median age of 56 years (42–70) and 65% of patients were male. The median total valproate concentration was 53 µg/mL (38–70 µg/mL), the free valproate concentration was 12 µg/mL (7–20 µg/mL), and the free fraction was 23.6% (17.0–33.9%). Therapeutic discordance between the free and total valproate concentration occurred in 70% of patients. On multivariable analysis, increased free valproate concentration was associated with higher total valproate concentration (per 5 µg/mL increase, increase 1.72 µg/mL, 95% CI, 1.48–1.96) and lower serum albumin (per 1 g/dL decrease, increase 4.60 µg/mL, 95% CI, 2.71–6.49). There was no association between free valproate concentration and adverse effects. CONCLUSIONS: The valproate total and free concentration was discordant in the majority of patients (70%). Increased valproate free concentration was associated with hypoalbuminemia and total valproate concentration. Clinical decisions based on total valproate concentration may be incorrect for many ICU patients. Prospective, controlled studies are needed to confirm these findings and their clinical relevance.