APACHE II: A severity of disease classification system

Vancomycin dosing in critically ill patients: Robust methods for improved continuous-infusion regimens.

Roberts, J. A., Taccone, F. S., Udy, A. A., Vincent, J.-L., Jacobs, F., & Lipman, J. (2011) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01708-10 · Cited by 226

Methods of Blood Pressure Measurement in the ICU*

Lehman, L.-W. H., Saeed, M., Talmor, D., Mark, R., & Malhotra, A. (2013) · Critical Care Medicine · doi:10.1097/ccm.0b013e318265ea46 · Cited by 224

Critically Ill Children During the 2009–2010 Influenza Pandemic in the United States

Randolph, A. G., Vaughn, F., Sullivan, R., Rubinson, L., Thompson, B. T., Yoon, G., Smoot, E., Rice, T. W., Loftis, L. L., Helfaer, M., et al. (2011) · Pediatrics · doi:10.1542/peds.2011-0774 · Cited by 222

The impact of delirium on clinical outcomes in mechanically ventilated surgical and trauma patients

Lat, I., McMillian, W., Taylor, S., Janzen, J. M., Papadopoulos, S., Korth, L., Ehtisham, A., Nold, J., Agarwal, S., Azocar, R., et al. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e31819ffe38 · Cited by 222

Review of multimodal machine learning approaches in healthcare

Krones, F., Marikkar, U., Parsons, G., Szmul, A., & Mahdi, A. (2025) · Information Fusion · doi:10.1016/j.inffus.2024.102690 · Cited by 235

Prediction of outcome in intensive care patients using endocrine parameters

Rothwell, P. M., & Lawler, P. G. (1995) · Critical Care Medicine · doi:10.1097/00003246-199501000-00015 · Cited by 219

COMPARISON OF PROPOFOL AND MIDAZOLAM FOR SEDATION IN CRITICALLY ILL PATIENTS

Aitkenhead, A., Willatts, S., Park, G., Collins, C., Ledingham, I., Pepperman, M., David Coates, P., Bodenham, A., Smith, M., & Wallace, P. M. (1989) · The Lancet · doi:10.1016/s0140-6736(89)90770-8 · Cited by 213

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach

Awad, A., Bader-El-Den, M., McNicholas, J., & Briggs, J. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.10.002 · Cited by 208

Intensive Nutrition in Acute Lung Injury: A Clinical Trial (INTACT)

Braunschweig, C. A., Sheean, P. M., Peterson, S. J., Gomez Perez, S., Freels, S., Lateef, O., Gurka, D., & Fantuzzi, G. (2015) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607114528541 · Cited by 199

APOε4 is associated with enhanced in vivo innate immune responses in human subjects

Gale, S. C., Gao, L., Mikacenic, C., Coyle, S. M., Rafaels, N., Murray Dudenkov, T., Madenspacher, J. H., Draper, D. W., Ge, W., Aloor, J. J., et al. (2014) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2014.01.032 · Cited by 202

Time from admission to initiation of surgery for source control is a critical determinant of survival in patients with gastrointestinal perforation with associated septic shock.

Azuhata, T., Kinoshita, K., Kawano, D., Komatsu, T., Sakurai, A., Chiba, Y., & Tanjho, K. (2014) · Critical Care · doi:10.1186/cc13854 · Cited by 206

Community-acquired respiratory coinfection in critically ill patients with pandemic 2009 influenza A(H1N1) virus

Martín-Loeches, I., Sanchez-Corral, A., Diaz, E., Granada, R. M., Zaragoza, R., Villavicencio, C., Albaya, A., Cerdá, E., Catalán, R. M., Luque, P., et al. (2011) · Chest · doi:10.1378/chest.10-1396 · Cited by 203

Heart rate variability as early marker of multiple organ dysfunction syndrome in septic patients

Pontet, J., Contreras, P., Curbelo, A., Medina, J., Noveri, S., Bentancourt, S., & Migliaro, E. R. (2003) · Journal of Critical Care · doi:10.1016/j.jcrc.2003.08.005 · Cited by 195

SARS–CoV-2–specific T cell responses and correlations with COVID-19 patient predisposition

Sattler, A., Angermair, S., Stockmann, H., Heim, K. M., Khadzhynov, D., Treskatsch, S., Halleck, F., Kreis, M. E., & Kotsch, K. (2020) · Journal of Clinical Investigation · doi:10.1172/jci140965 · Cited by 196

The clinical importance of a cytokine network in the acute phase of sepsis

Matsumoto, H., Ogura, H., Shimizu, K., Ikeda, M., Hirose, T., Matsuura, H., Kang, S., Takahashi, K., Tanaka, T., & Shimazu, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-32275-8 · Cited by 193

The Association Between Nutritional Adequacy and Long-Term Outcomes in Critically Ill Patients Requiring Prolonged Mechanical Ventilation: A Multicenter Cohort Study*

Wei, X., Day, A. G., Ouellette-Kuntz, H., & Heyland, D. K. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000001000 · Cited by 187

Early enteral supplementation with key pharmaconutrients improves Sequential Organ Failure Assessment score in critically ill patients with sepsis: Outcome of a randomized, controlled, double-blind trial*

Beale, R. J., Sherry, T., Lei, K., Campbell-Stephen, L., McCook, J., Smith, J., Venetz, W., Alteheld, B., Stehle, P., & Schneider, H. (2008) · Critical Care Medicine · doi:10.1097/01.ccm.0000297954.45251.a9 · Cited by 182

Treatment-related risk factors for hospital mortality in Candida bloodstream infections

Labelle, A. J., Micek, S. T., Roubinian, N., & Kollef, M. H. (2008) · Critical Care Medicine · doi:10.1097/ccm.0b013e31818b3477 · Cited by 181

Prone Positioning and Low-Volume Pressure-Limited Ventilation Improve Survival in Patients With Severe ARDS

Stocker, R., Neff, T., Stein, S., Trentz, O., Ecknauer, E., & Russi, E. (1997) · Chest · doi:10.1378/chest.111.4.1008 · Cited by 178

Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU

Kong, G., Lin, K., & Hu, Y. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-01271-2 · Cited by 180

Capillary refill time during fluid resuscitation in patients with sepsis-related hyperlactatemia at the emergency department is related to mortality.

Lara, B., Enberg, L., Ortega, M., Leon, P., Kripper, C., Aguilera, P., Kattan, E., Castro, R., Bakker, J., & Hernandez, G. (2017) · PLOS ONE · doi:10.1371/journal.pone.0188548 · Cited by 167

A phase II randomized placebo-controlled trial of omega-3 fatty acids for the treatment of acute lung injury*

Stapleton, R. D., Martin, T. R., Weiss, N. S., Crowley, J. J., Gundel, S. J., Nathens, A. B., Akhtar, S. R., Ruzinski, J. T., Caldwell, E., Curtis, J. R., et al. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e318218669d · Cited by 173

Early palliative care consultation in the medical ICU: A cluster randomized crossover trial.

Ma, J., Chi, S., Buettner, B., Pollard, K., Muir, M., Kolekar, C., Al-Hammadi, N., Chen, L., Kollef, M., & Dans, M. (2019) · Critical Care Medicine · doi:10.1097/ccm.0000000000004016 · Cited by 166

A multicenter, randomized controlled trial comparing early nasojejunal with nasogastric nutrition in critical illness*

Davies, A. R., Morrison, S. S., Bailey, M. J., Bellomo, R., Cooper, D. J., Doig, G. S., Finfer, S. R., & Heyland, D. K. (2012) · Critical Care Medicine · doi:10.1097/ccm.0b013e318255d87e · Cited by 168

Implementation of a real-time computerized sepsis alert in nonintensive care unit patients*

Sawyer, A. M., Deal, E. N., Labelle, A. J., Witt, C., Thiel, S. W., Heard, K., Reichley, R. M., Micek, S. T., & Kollef, M. H. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e318205df85 · Cited by 169

Tight blood-glucose control without early parenteral nutrition in the ICU

Gunst, J., Debaveye, Y., Güiza, F., Dubois, J., De Bruyn, A., Dauwe, D., De Troy, E., Casaer, M. P., De Vlieger, G., Haghedooren, R., et al. (2023) · New England Journal of Medicine · doi:10.1056/nejmoa2304855 · Cited by 163

Timing of vasopressor initiation and mortality in septic shock: a cohort study

Beck, V., Chateau, D., Bryson, G. L., Pisipati, A., Zanotti, S., Parrillo, J. E., Kumar, A., & The Cooperative Antimicrobial Therapy of Septic Shock (CATSS) Database Research Group (2014) · Critical Care · doi:10.1186/cc13868 · Cited by 161

Accuracy of oscillometric blood pressure measurement according to the relation between cuff size and upper-arm circumference in critically ill patients

Bur, A., Hirschl, M. M., Herkner, H., Oschatz, E., Kofler, J., Woisetschläger, C., & Laggner, A. N. (2000) · Critical Care Medicine · doi:10.1097/00003246-200002000-00014 · Cited by 154

Severe sepsis cohorts derived from claims-based strategies appear to be biased toward a more severely ill patient population.

Whittaker, S.-A., Mikkelsen, M. E., Gaieski, D. F., Koshy, S., Kean, C., & Fuchs, B. D. (2013) · Critical Care Medicine · doi:10.1097/ccm.0b013e31827466f1 · Cited by 156

Frequency and outcome of patients with nonthyroidal illness syndrome in a medical intensive care unit

Plikat, K., Langgartner, J., Buettner, R., Bollheimer, L. C., Woenckhaus, U., Schölmerich, J., & Wrede, C. E. (2007) · Metabolism · doi:10.1016/j.metabol.2006.09.020 · Cited by 156

Factors associated with mortality of myxedema coma: report of eight cases and literature survey

YAMAMOTO, T., FUKUYAMA, J., & FUJIYOSHI, A. (1999) · Thyroid · doi:10.1089/thy.1999.9.1167 · Cited by 151

Impact of caloric intake in critically ill patients with, and without, refeeding syndrome: A retrospective study

Olthof, L. E., Koekkoek, W. A. C. K., van Setten, C., Kars, J. C. N., van Blokland, D., & van Zanten, A. R. H. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2017.08.001 · Cited by 156

Risk factors and prognosis of catheter-related bloodstream infection in critically ill patients: A multicenter study.

Garnacho-Montero, J., Aldabó-Pallás, T., Palomar-Martínez, M., Vallés, J., Almirante, B., Garcés, R., Grill, F., Pujol, M., Arenas-Giménez, C., Mesalles, E., et al. (2008) · Intensive Care Medicine · doi:10.1007/s00134-008-1204-7 · Cited by 150

Continuous infusion of β-lactam antibiotics in severe infections: a review of its role

Roberts, J. A., Paratz, J., Paratz, E., Krueger, W. A., & Lipman, J. (2007) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2007.02.002 · Cited by 150

Severe agitation among ventilated medical intensive care unit patients: frequency, characteristics and outcomes

Woods, J. C., Mion, L. C., Connor, J. T., Viray, F., Jahan, L., Huber, C., McHugh, R., Gonzales, J. P., Stoller, J. K., & Arroliga, A. C. (2004) · Intensive Care Medicine · doi:10.1007/s00134-004-2193-9 · Cited by 142

Delirium as detected by the CAM-ICU predicts restraint use among mechanically ventilated medical patients*

Micek, S. T., Anand, N. J., Laible, B. R., Shannon, W. D., & Kollef, M. H. (2005) · Critical Care Medicine · doi:10.1097/01.ccm.0000164540.58515.bf · Cited by 141

Parenterally administered dipeptide alanyl-glutamine prevents worsening of insulin sensitivity in multiple-trauma patients

Bakalar, B., Duska, F., Pachl, J., Fric, M., Otahal, M., Pazout, J., & Andel, M. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000196829.30741.d4 · Cited by 136

Surviving critical illness: Acute respiratory distress syndrome as experienced by patients and their caregivers

Cox, C. E., Docherty, S. L., Brandon, D. H., Whaley, C., Attix, D. K., Clay, A. S., Dore, D. V., Hough, C. L., White, D. B., & Tulsky, J. A. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181b6f64a · Cited by 136

Recurrent delirium over 12 months predicts dementia: results of the Delirium and Cognitive Impact in Dementia (DECIDE) study

Richardson, S. J., Davis, D. H. J., Stephan, B. C. M., Robinson, L., Brayne, C., Barnes, L. E., Taylor, J.-P., Parker, S. G., & Allan, L. M. (2021) · Age and Ageing · doi:10.1093/ageing/afaa244 · Cited by 125

The combined administration of GH‐releasing peptide‐2 (GHRP‐2), TRH and GnRH to men with prolonged critical illness evokes superior endocrine and metabolic effects compared to treatment with GHRP‐2 alone

Van den Berghe, G., Baxter, R. C., Weekers, F., Wouters, P., Bowers, C. Y., Iranmanesh, A., Veldhuis, J. D., & Bouillon, R. (2002) · Clinical Endocrinology · doi:10.1046/j.1365-2265.2002.01255.x · Cited by 134

The Chylomicronemia Syndrome Is Most Often Multifactorial: A Narrative Review of Causes and Treatment

Chait, A., & Eckel, R. H. (2019) · Annals of Internal Medicine · doi:10.7326/m19-0203 · Cited by 128

Patient length of stay and mortality prediction: A survey

Awad, A., Bader–El–Den, M., & McNicholas, J. (2017) · Health Services Management Research · doi:10.1177/0951484817696212 · Cited by 128

Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing

Henry, K. E., Adams, R., Parent, C., Soleimani, H., Sridharan, A., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., Klein, E. Y., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01895-z · Cited by 144

Predictors of Mortality in Older Patients following Medical Intensive Care: The Importance of Functional Status

Mayer‐Oakes, S. A., Oye, R. K., & Leake, B. (1991) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1991.tb04452.x · Cited by 123

Inappropriate medication prescriptions in elderly adults surviving an intensive care unit hospitalization.

Morandi, A., Vasilevskis, E., Pandharipande, P. P., Girard, T. D., Solberg, L. M., Neal, E. B., Koestner, T., Torres, R. E., Thompson, J. L., Shintani, A. K., et al. (2013) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12329 · Cited by 126

Propofol infusion for sedation in intensive care

NEWMAN, L. H., McDONALD, J. C., WALLACE, P. G. M., & LEDINGHAM, I. M. (1987) · Anaesthesia · doi:10.1111/j.1365-2044.1987.tb05362.x · Cited by 122

Ventilator-derived carbon dioxide production to assess energy expenditure in critically ill patients: proof of concept

Stapel, S. N., de Grooth, H.-J. S., Alimohamad, H., Elbers, P. W. G., Girbes, A. R. J., Weijs, P. J. M., & Oudemans-van Straaten, H. M. (2015) · Critical Care · doi:10.1186/s13054-015-1087-2 · Cited by 118

Impact of timing of surgery on outcome of Vibrio vulnificus-related necrotizing fasciitis.

Chao, W.-N., Tsai, C.-F., Chang, H.-R., Chan, K.-S., Su, C.-H., Lee, Y.-T., Ueng, K.-C., Chen, C.-C., Chen, S.-C., & Lee, M.-C. (2013) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2012.08.008 · Cited by 117

Inadequate salivary flow and poor oral mucosal status in intubated intensive care unit patients.

Dennesen, P., van der Ven, A., Vlasveld, M., Lokker, L., Ramsay, G., Kessels, A., van den Keijbus, P., van Nieuw Amerongen, A., & Veerman, E. (2003) · Critical Care Medicine · doi:10.1097/01.ccm.0000053646.04085.29 · Cited by 115

Association between early nutrition support and 28-day mortality in critically ill patients: the FRANS prospective nutrition cohort study

Pardo, E., Lescot, T., Preiser, J.-C., Massanet, P., Pons, A., Jaber, S., Fraipont, V., Levesque, E., Ichai, C., Petit, L., et al. (2023) · Critical Care · doi:10.1186/s13054-022-04298-1 · Cited by 116

Development and evaluation of an automated machine learning algorithm for in-hospital mortality risk adjustment among critical care patients.

Delahanty, R. J., Kaufman, D., & Jones, S. S. (2018) · Critical Care Medicine · doi:10.1097/ccm.0000000000003011 · Cited by 105

Bacteremia in patients with ventilator-associated pneumonia is associated with increased mortality: A study comparing bacteremic vs. nonbacteremic ventilator-associated pneumonia*

Agbaht, K., Diaz, E., Muñoz, E., Lisboa, T., Gomez, F., Depuydt, P. O., Blot, S. I., & Rello, J. (2007) · Critical Care Medicine · doi:10.1097/01.ccm.0000277042.31524.66 · Cited by 109

A lactate-targeted resuscitation strategy may be associated with higher mortality in patients with septic shock and normal capillary refill time: A post hoc analysis of the ANDROMEDA-SHOCK study

Kattan, E., Hernández, G., Ospina-Tascón, G., Valenzuela, E. D., Bakker, J., & Castro, R. (2020) · Annals of Intensive Care · doi:10.1186/s13613-020-00732-1 · Cited by 100

Large Retrospective Evaluation of the Effectiveness and Safety of Ceftaroline Fosamil Therapy

Casapao, A. M., Davis, S. L., Barr, V. O., Klinker, K. P., Goff, D. A., Barber, K. E., Kaye, K. S., Mynatt, R. P., Molloy, L. M., Pogue, J. M., et al. (2014) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.02371-13 · Cited by 108

Quality Of Care For Two Common Illnesses In Teaching And Nonteaching Hospitals: Teaching status appears to make a difference, when physicians and nurses assess hospitals' quality of care in four states.

Ayanian, J. Z., Weissman, J. S., Chasan-Taber, S., & Epstein, A. M. (1998) · Health Affairs · doi:10.1377/hlthaff.17.6.194 · Cited by 106

Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements

Zimmerman, L. P., Reyfman, P. A., Smith, A. D. R., Zeng, Z., Kho, A., Sanchez-Pinto, L. N., & Luo, Y. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0733-z · Cited by 100

Antipsychotic prescribing patterns during and after critical illness: A prospective cohort study.

Tomichek, J. E., Stollings, J. L., Pandharipande, P. P., Chandrasekhar, R., Ely, E. W., & Girard, T. D. (2016) · Critical Care · doi:10.1186/s13054-016-1557-1 · Cited by 100

Effect of mode of hydrocortisone administration on glycemic control in patients with septic shock: a prospective randomized trial

Loisa, P., Parviainen, I., Tenhunen, J., Hovilehto, S., & Ruokonen, E. (2007) · Critical Care · doi:10.1186/cc5696 · Cited by 95

The impact of delayed biliary decompression and anti-microbial therapy in 260 patients with cholangitis-associated septic shock.

Karvellas, C. J., Abraldes, J. G., Zepeda‐Gomez, S., Moffat, D. C., Mirzanejad, Y., Vazquez‐Grande, G., Esfahani, E. K., Kumar, A., & the Cooperative Antimicrobial Therapy of Septic Shock (CATSS) Database Research Group (2016) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.13764 · Cited by 94

Long-term ozone exposure increases the risk of developing the acute respiratory distress syndrome

Ware, L. B., Zhao, Z., Koyama, T., May, A. K., Matthay, M. A., Lurmann, F. W., Balmes, J. R., & Calfee, C. S. (2016) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201507-1418oc · Cited by 94

Clinical and economic impact of procalcitonin to shorten antimicrobial therapy in septic patients with proven bacterial infection in an intensive care setting.

Deliberato, R. O., Marra, A. R., Sanches, P. R., Dalla Valle Martino, M., dos Santos Ferreira, C. E., Pasternak, J., Paes, A. T., Pinto, L. M., dos Santos, O. F. P., & Edmond, M. B. (2013) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2013.03.027 · Cited by 93

External validation of prognostic models for critically ill patients required substantial sample sizes

Peek, N., Arts, D. G. T., Bosman, R. J., van der Voort, P. H. J., & de Keizer, N. F. (2007) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.08.011 · Cited by 92

The effect of time to antifungal therapy on mortality in candidemia associated septic shock

Patel, G. P., Simon, D., Scheetz, M., Crank, C. W., Lodise, T., & Patel, N. (2009) · American Journal of Therapeutics · doi:10.1097/mjt.0b013e3181a1afb7 · Cited by 92

A Two Centre Observational Study of Simultaneous Pulse Oximetry and Arterial Oxygen Saturation Recordings in Intensive Care Unit Patients

Ebmeier, S. J., Barker, M., Bacon, M., Beasley, R. C., Bellomo, R., Chong, C. K., Eastwood, G. M., Gilchrist, J., Kagaya, H., Pilcher, J., et al. (2018) · Anaesthesia and Intensive Care · doi:10.1177/0310057x1804600307 · Cited by 92

Reduction in Mortality Associated with Statin Therapy in Patients with Severe Sepsis

Dobesh, P. P., Klepser, D. G., McGuire, T. R., Morgan, C. W., & Olsen, K. M. (2009) · Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy · doi:10.1592/phco.29.6.621 · Cited by 88

Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk

Barbieri, S., Kemp, J., Perez-Concha, O., Kotwal, S., Gallagher, M., Ritchie, A., & Jorm, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-58053-z · Cited by 86

Impact of appropriate antimicrobial therapy for patients with severe sepsis and septic shock–a quality improvement study.

Yokota, P. K. O., Marra, A. R., Martino, M. D. V., Victor, E. S., Durão, M. S., Edmond, M. B., & dos Santos, O. F. P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104475 · Cited by 85

An intelligent warning model for early prediction of cardiac arrest in sepsis patients

Layeghian Javan, S., Sepehri, M. M., Layeghian Javan, M., & Khatibi, T. (2019) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2019.06.010 · Cited by 86

Heart Rate Variability in Emergency Department Patients with Sepsis

Barnaby, D., Ferrick, K., Kaplan, D. T., Shah, S., Bijur, P., & Gallagher, E. J. (2002) · Academic Emergency Medicine · doi:10.1197/aemj.9.7.661 · Cited by 167

YKL-40 IDENTIFIED BY PROTEOMIC ANALYSIS AS A BIOMARKER OF SEPSIS

Hattori, N., Oda, S., Sadahiro, T., Nakamura, M., Abe, R., Shinozaki, K., Nomura, F., Tomonaga, T., Matsushita, K., Kodera, Y., et al. (2009) · Shock · doi:10.1097/shk.0b013e31819e2c0c · Cited by 83

Mean glucose during ICU admission is related to mortality by a U-shaped curve in surgical and medical patients: A retrospective cohort study.

Siegelaar, S. E., Hermanides, J., Oudemans-van Straaten, H. M., van der Voort, P. H., Bosman, R. J., Zandstra, D. F., & DeVries, J. H. (2010) · Critical Care · doi:10.1186/cc9369 · Cited by 82

Translational evidence for two distinct patterns of neuroaxonal injury in sepsis: a longitudinal, prospective translational study

Ehler, J., Barrett, L. K., Taylor, V., Groves, M., Scaravilli, F., Wittstock, M., Kolbaske, S., Grossmann, A., Henschel, J., Gloger, M., et al. (2017) · Critical Care · doi:10.1186/s13054-017-1850-7 · Cited by 80

Exploitation of diagnostic computed tomography scans to assess the impact of nutrition support on body composition changes in respiratory failure patients

Braunschweig, C. A., Sheean, P. M., Peterson, S. J., Gomez Perez, S., Freels, S., Troy, K. L., Ajanaku, F. C., Patel, A., Sclamberg, J. S., & Wang, Z. (2014) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607113500505 · Cited by 81

Patient empowerment: A cross-disease exploration of antecedents and consequences

Prigge, J.-K., Dietz, B., Homburg, C., Hoyer, W. D., & Burton, J. L. (2015) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2015.05.009 · Cited by 80

Association between physicians’ beliefs and the option of comfort care for critically ill patients

Schenker, Y., Tiver, G. A., Hong, S. Y., & White, D. B. (2012) · Intensive Care Medicine · doi:10.1007/s00134-012-2671-4 · Cited by 79

Impact of Early Nutrient Restriction During Critical Illness on the Nonthyroidal Illness Syndrome and Its Relation With Outcome: A Randomized, Controlled Clinical Study

Langouche, L., Vander Perre, S., Marques, M., Boelen, A., Wouters, P. J., Casaer, M. P., & Van den Berghe, G. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-2809 · Cited by 79

Outcome in critically ill patients with candidal fungaemia: Candida albicans vs. Candida glabrata

Blot, S., Vandewoude, K., Hoste, E., Poelaert, J., & Colardyn, F. (2001) · Journal of Hospital Infection · doi:10.1053/jhin.2000.0918 · Cited by 73

An integrated data mining approach to real-time clinical monitoring and deterioration warning

Mao, Y., Chen, W., Chen, Y., Lu, C., Kollef, M., & Bailey, T. (2012) · Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2339530.2339709 · Cited by 76

Neuroendocrine function following traumatic brain injury and subsequent intensive care treatment: a prospective longitudinal evaluation

Kleindienst, A., Brabant, G., Bock, C., Maser-Gluth, C., & Buchfelder, M. (2009) · Journal of Neurotrauma · doi:10.1089/neu.2008.0601 · Cited by 76

Thyroid hormone levels improve the prediction of mortality among patients admitted to the intensive care unit

Chinga-Alayo, E., Villena, J., Evans, A. T., & Zimic, M. (2005) · Intensive Care Medicine · doi:10.1007/s00134-005-2719-9 · Cited by 71

Serum cytochrome c level as a prognostic indicator in patients with systemic inflammatory response syndrome

Adachi, N., Hirota, M., Hamaguchi, M., Okamoto, K., Watanabe, K., & Endo, F. (2004) · Clinica Chimica Acta · doi:10.1016/j.cccn.2003.12.011 · Cited by 70

Can Early Rehabilitation on the General Ward After an Intensive Care Unit Stay Reduce Hospital Length of Stay in Survivors of Critical Illness?: A Randomized Controlled Trial

Gruther, W., Pieber, K., Steiner, I., Hein, C., Hiesmayr, J. M., & Paternostro-Sluga, T. (2017) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0000000000000718 · Cited by 70

Hospital-based acute care use in survivors of septic shock.

Ortego, A., Gaieski, D. F., Fuchs, B. D., Jones, T., Halpern, S. D., Small, D. S., Sante, S. C., Drumheller, B., Christie, J. D., & Mikkelsen, M. E. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000000693 · Cited by 67

Vancomycin-resistant enterococcal bacteraemia: is daptomycin as effective as linezolid?

Mave, V., Garcia-Diaz, J., Islam, T., & Hasbun, R. (2009) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkp154 · Cited by 65

Plasmapheresis as treatment for hyperlipidemic pancreatitis

Ramírez-Bueno, A., Salazar-Ramírez, C., Cota-Delgado, F., de la Torre-Prados, M. V., & Valdivielso, P. (2014) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2013.08.701 · Cited by 65

Impact of digestive and oropharyngeal decontamination on the intestinal microbiota in ICU patients

Benus, R. F., Harmsen, H. J., Welling, G. W., Spanjersberg, R., Zijlstra, J. G., Degener, J. E., & van der Werf, T. S. (2010) · Intensive Care Medicine · doi:10.1007/s00134-010-1826-4 · Cited by 63

Dynamic Prognostication in Critically Ill Cirrhotic Patients With Multiorgan Failure in ICUs in Europe and North America: A Multicenter Analysis*

Karvellas, C. J., Garcia-Lopez, E., Fernandez, J., Saliba, F., Sy, E., Jalan, R., Pavesi, M., Gustot, T., Ronco, J. J., & Arroyo, V. (2018) · Critical Care Medicine · doi:10.1097/ccm.0000000000003369 · Cited by 62

Experts or Authorities? The Strange Case of the Presumed Epistemic Superiority of Artificial Intelligence Systems

Ferrario, A., Facchini, A., & Termine, A. (2024) · Minds and Machines · doi:10.1007/s11023-024-09681-1 · Cited by 64

Artificial Intelligence in the Intensive Care Unit

Greco, M., Caruso, P. F., & Cecconi, M. (2021) · Seminars in Respiratory and Critical Care Medicine · doi:10.1055/s-0040-1719037 · Cited by 59

Increased glucocorticoid receptor expression in sepsis is related to heat shock proteins, cytokines, and cortisol and is associated with increased mortality

Vardas, K., Ilia, S., Sertedaki, A., Charmandari, E., Briassouli, E., Goukos, D., Apostolou, K., Psarra, K., Botoula, E., Tsagarakis, S., et al. (2017) · Intensive Care Medicine Experimental · doi:10.1186/s40635-017-0123-8 · Cited by 58

Prognostic factors of acute mesenteric ischemia in ICU patients

Caluwaerts, M., Castanares-Zapatero, D., Laterre, P.-F., & Hantson, P. (2019) · BMC Gastroenterology · doi:10.1186/s12876-019-0999-8 · Cited by 56

Development and preliminary evaluation of a telephone-based mindfulness training intervention for survivors of critical illness

Cox, C. E., Porter, L. S., Buck, P. J., Hoffa, M., Jones, D., Walton, B., Hough, C. L., & Greeson, J. M. (2014) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201308-283oc · Cited by 56

Early empirical glycopeptide therapy for patients with methicillin-resistant Staphylococcus aureus bacteraemia: Impact on the outcome.

Fang, C.-T., Shau, W.-Y., Hsueh, P.-R., Chen, Y.-C., Wang, J.-T., Hung, C.-C., Huang, L. Y. L., & Chang, S.-C. (2006) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkl006 · Cited by 53

The effect of socioeconomic status on outcomes for seriously ill patients: A linked data cohort study.

Ho, K. M., Dobb, G. J., Knuiman, M., Finn, J., & Webb, S. A. (2008) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2008.tb01890.x · Cited by 54

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation

Deasy, J., Liò, P., & Ercole, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-79142-z · Cited by 52

Swallowing dysfunction following endotracheal intubation: Age matters

Tsai, M.-H., Ku, S.-C., Wang, T.-G., Hsiao, T.-Y., Lee, J.-J., Chan, D.-C., Huang, G.-H., & Chen, C. C.-H. (2016) · Medicine · doi:10.1097/md.0000000000003871 · Cited by 52

Major depression among medically ill elders contributes to sustained poor mental health in their informal caregivers

McCusker, J., Latimer, E., Cole, M., Ciampi, A., & Sewitch, M. (2007) · Age and Ageing · doi:10.1093/ageing/afm059 · Cited by 50

Evaluating the feasibility and effectiveness of a critical care discharge information pack for patients and their families: A pilot cluster randomised controlled trial.

Bench, S., Day, T., Heelas, K., Hopkins, P., White, C., & Griffiths, P. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-006852 · Cited by 49

Pharmacoepidemiology of QT‐interval prolonging drug administration in critically ill patients

Freeman, B. D., Dixon, D. J., Coopersmith, C. M., Zehnbauer, B. A., & Buchman, T. G. (2008) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.1637 · Cited by 48

Can calculation of energy expenditure based on CO2 measurements replace indirect calorimetry?

Oshima, T., Graf, S., Heidegger, C.-P., Genton, L., Pugin, J., & Pichard, C. (2017) · Critical Care · doi:10.1186/s13054-016-1595-8 · Cited by 48